Jurnal Teknoif Teknik Informatika Institut Teknologi Padang
type: channel
description: ISSN : 2598-9197 (online), 2338-2724(print) Subject: Informatics Engineering Frequency: Semiannual Language: Indonesia and English Indexed at: Crossref, PKP Index, Dimension Citation: Google Scholar DOI :10.21063/jtif
publisher: ITP Press
language: en
publication name: Jurnal Teknoif Teknik Informatika Institut Teknologi Padang
issn: 2338-2724
copyright: This journal is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0). Authors retain copyright and grant the journal the right of first publication. The work may be shared and adapted, even for commercial purposes, as long as appropriate credit is given and any new creations are licensed under the identical terms.
items: DESIGN OF SUTI WATER SYSTEM INVENTORY APPLICATION USING THE USER-CENTERED DESIGN (UCD) METHOD
items: IMPLEMENTATION OF FEEDFORWARD NEURAL NETWORK FOR CARDIOVASCULAR DISEASE PREDICTION WITH PERFORMANCE EVALUATION
items: SISTEM INFORMASI GEOGRAFIS PEMETAAN JENIS KEKERASAN TERHADAP PEREMPUAN DI JAWA TENGAH MENGGUNAKAN METODE K-MEANS CLUSTERING
items: COMPARISON OF MACHINE LEARNING CLUSTERING ALGORITHMS FOR ANALYSING ELECTRICITY USAGE PATTERNS IN CAMPUS AREAS
items: DEVELOPMENT OF REAL-TIME MULTI-LOCATION INVENTORY SYSTEM AT PT. AFA KARYALOKA NATA UTAMA USING V-MODEL
items: CLASSIFICATION OF TRAFFIC TICKET CASES AT THE PAGAR ALAM DISTRICT ATTORNEY'S OFFICE USING THE C4.5 ALGORITHM
items: DATA MINING ANALYSIS OF SHELL OIL SALES USING THE C4.5 ALGORITHM AT CV. HARAPAN KARYA MANDIRI
items: IMPLEMENTASI SISTEM KEAMANAN DAN HIGH AVAILABILITY PADA CLOUD SERVER MENGGUNAKAN AMAZON WEB SERVICES (AWS)
items: RANCANG BANGUN SISTEM INFORMASI PENERIMAAN SISWA BARU BERBASIS WHATSAPP E-REMINDER
items: IDENTIFIKASI KEPADATAN PENDUDUK DI PROVINSI JAWA BARAT MENGGUNAKAN HIERARCHICAL CLUSTERING
items: MODEL REGRESI LOGISTIK DAN JARINGAN SYARAF TIRUAN UNTUK KLASIFIKASI MAHASISWA BERPOTENSI DROP OUT
items: IMPLEMENTASI INCREMENTAL METHOD PADA RANCANG BANGUN WEBSITE PENERBIT PNP PRESS
items: ANALISIS LAHAN DAN REKOMENDASI TANAMAN PADA SISTEM PERTANIAN CERDAS BERBASIS IoT (Kasus : Lahan Petani Durian Tarung, Kec. Kuranji, Kota Padang)
items: PENGEMBANGAN WEB SERVICE MENGGUNAKAN FRAMEWORK FASTAPI UNTUK MENINGKATKAN KEMUDAHAN INTEGRASI SISTEM INFORMASI AKADEMIK MULTIPLATFORM
items: SISTEM PENYIRAMAN OTOMATIS PADA PEMBIBITAN PRE-NURSERY KELAPA SAWIT BERBASIS INTERNET OF THINGS
items: PERANCANGAN SISTEM INFORMASI ANALIS BREAK EVEN POINT DAN STOK PADA BUDIDAYA AYAM POTONG BERBASIS WEB
items: INOVASI E-COMMERCE UNTUK OPTIMALISASI PROSES KONSUMEN, PRODUKSI, DAN PEMASARAN BAGI PELAKU UMKM
items: PERANCANGAN APLIKASI PERHITUNGAN BEBAN KERJA DOSEN TERINTEGRASI DENGAN PENDEKATAN WATERFALL
items: PERANCANGAN PROTOTIPE APLIKASI PERUMAHAN TAMAN KENARI SENSOR MONITOR MENGGUNAKAN METODE AGILE
items: IMPLEMENTASI FUZZY TSUKAMOTO DALAM SISTEM PREDIKSI PANEN PADI DI KABUPATEN INDRAMAYU
items: IMPLEMENTASI CHATBOT YANG TERINTEGRASI LAYANAN KEPOLISIAN DALAM PEMBUATAN SIM
items: IMPLEMENTASI QUESTION ANSWERING SYSTEM TAFSIR AL- AZHAR MENGGUNAKAN LANGCHAIN DAN LARGE LANGUAGE MODEL BERBASIS CHATBOT TELEGRAM
items: SIMULASI MONTE CARLO UNTUK ESTIMASI PENGADAAN ATK (STUDI KASUS DI INSTITUT TEKNOLOGI PADANG)
items: TOPIC ANALYSIS VIDEO DEBAT JELANG PEMILU PRESIDEN DAN WAKIL PRESIDEN TAHUN 2024 DENGAN LATENT DIRICHLET ALLOCATION
items: ANALISIS KEPUASAN OPAC DI PERPUSTAKAAN POLITEKNIK KESELAMATAN TRANSPORTASI JALAN DENGAN PIECES FRAMEWORK
items: PENGEMBANGAN APLIKASI DEWAN KELUARGA MASJID (DKM) REGISTRATION SYSTEM MENGGUNAKAN METODE WATERFALL
items: SISTEM INFORMASI PELATIHAN PADA BALAI DIKLAT INDUSTRI PADANG BERBASIS MOBILE MENGGUNAKAN API DAN BAHASA PEMOGRAMAN KOTLIN
items: PENERAPAN SISTEM PENDUKUNG KEPUTUSAN DALAM MENENTUKAN PRIORITAS LOKASI PEMASARAN PADA PT. ASKRINDO CABANG MEDAN MENGGUNAKAN METODE AHP DAN PROMETHEE
items: IMPLEMENTASI SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN ALAT KONTRASEPSI DENGAN METODE AHP DAN TOPSIS (STUDI KASUS DI PUSKESMAS GUNUNG LABU)
items: Pengaruh Probabilitas Crossover Terhadap Kinerja Algoritma Genetika Dalam Optimasi Penjadwalan Matakuliah

DESIGN OF SUTI WATER SYSTEM INVENTORY APPLICATION USING THE USER-CENTERED DESIGN (UCD) METHOD
type: item
description: Inventory management (stock) is an important factor for business operational continuity. The Suti Water bottled water business unit, managed by the Indonesian Islamic Boarding School Cooperation Agency (BKsPPI), was facing serious constraints where the manual recording system often resulted in delays and data inaccuracies, which had a significant impact on operational efficiency. This study aimed to overcome these challenges by designing and developing an inventory application prototype with a focus on optimizing the User Interface (UI) and User Experience (UX). The User-Centered Design (UCD) methodology was adopted to ensure that the application design was centered on the real needs of the Suti Water Main Distributor warehouse staff. Following development, the application's usability was evaluated using the System Usability Scale (SUS). The testing results showed a SUS score of 93.0, which placed the application in the 'Acceptable' category with an "Excellent" rating. These findings demonstrate that the developed prototype is an effective and highly accepted solution by the users. Furthermore, the application proved to reduce transaction recording time and significantly minimize data errors..
subject: Article
  topic: section
subject: Inventory Application
  topic: keywords
subject: System Usability Scale
  topic: keywords
subject: User-Centered Design (UCD)
  topic: keywords
subject: Usability
  topic: keywords
creator: Muhammad Farhan
creator: Hersanto Fajri
creator: Berlina Wulandari
creator: Muh. Arbiyansyah Nur
rights: Copyright (c) 2025 Muhammad Farhan, Hersanto Fajri, Berlina Wulandari, Muh. Arbiyansyah Nur https://creativecommons.org/licenses/by-sa/4.0
date: 2025-10-31
publication date: 2025-10-31
starting page: 105
ending page: 116
doi: 10.21063/jtif.2025.V13.2.105-116

IMPLEMENTATION OF FEEDFORWARD NEURAL NETWORK FOR CARDIOVASCULAR DISEASE PREDICTION WITH PERFORMANCE EVALUATION
type: item
description: Disease is crucial to prevent more serious complications. This study implemented a Feedforward Neural Network (FNN) algorithm to build a cardiovascular disease risk prediction model using patient clinical data. The dataset used was sourced from open sources and underwent preprocessing stages such as one-hot encoding and normalization. The model architecture consists of two hidden layers with ReLU and dropout activation functions, and an output layer with a sigmoid function for binary classification. Training was conducted for 100 epochs with a data split ratio of 80:20. Evaluation was carried out using accuracy, precision, recall, F1-score, and confusion matrix metrics. The evaluation results showed that the model achieved a training accuracy of 92% and a testing accuracy of 88%, with an average F1-score of 87.2%. The Confidence Factor value also indicated a high level of confidence in each prediction. These results indicate that the FNN model is effective for cardiovascular disease risk prediction and has the potential to be used as a tool for rapid and accurate medical decision-making.
subject: Article
  topic: section
subject: Cardiovascular disease
  topic: keywords
subject: Feedforward neural network
  topic: keywords
subject: risk prediction
  topic: keywords
subject: confidence factor
  topic: keywords
subject: Machine Learning
  topic: keywords
creator: Muhammad Rafli
creator: Misbahuddin
creator: Bulkis Kanata
rights: Copyright (c) 2025 Muhammad Rafli, Misbahuddin, Bulkis Kanata https://creativecommons.org/licenses/by-sa/4.0
date: 2025-10-31
publication date: 2025-10-31
starting page: 97
ending page: 104
doi: 10.21063/jtif.2025.V13.2.97-104

SISTEM INFORMASI GEOGRAFIS PEMETAAN JENIS KEKERASAN TERHADAP PEREMPUAN DI JAWA TENGAH MENGGUNAKAN METODE K-MEANS CLUSTERING
type: item
description: Violence against women is a social issue with widespread impacts and remains highly prevalent in Indonesia, including in Central Java Province. The forms of violence include physical, psychological, and sexual abuse, exploitation, neglect, and others. Presenting data in a general form without spatial mapping often makes it difficult to identify regions with high levels of vulnerability. This study aims to cluster regencies/municipalities in Central Java based on types of violence against women by integrating the K-Means Clustering method with Geographic Information Systems (GIS). The data used are records of violence against women in 2024 from 35 regencies/municipalities. The K-Means method was applied iteratively until reaching a convergent condition, resulting in three main clusters. The clustering results were visualized using QGIS software in the form of thematic maps, facilitating the interpretation of spatial patterns. The evaluation shows that spatial classification was successfully applied with a spatial match rate of 100%, and a Silhouette Score of 0.577, indicating a moderately good cluster quality. The majority of regions are included in the low cluster, while only one region is in the high cluster. This study concludes that the combination of K-Means and GIS is effective in detecting and visualizing regional vulnerability to violence against women and has the potential to serve as a basis for developing more targeted and evidence-based protection policies. It is recommended that future research expand the dataset, include additional risk variables, and explore alternative clustering methods or advanced spatial analyses to improve the accuracy and understanding of violence patterns.
subject: Article
  topic: section
subject: Kekerasan terhadap Perempuan
  topic: keywords
subject: K-Means Clustering
  topic: keywords
subject: Sistem Informasi Geografis
  topic: keywords
subject: Klaster spasial
  topic: keywords
subject: QGIS
  topic: keywords
creator: Novan Maulana
creator: Aris Tri Jaka Harjanta
creator: Mega Novita
rights: Copyright (c) 2025 Novan Maulana, Aris Tri Jaka Harjanta, Mega Novita https://creativecommons.org/licenses/by-sa/4.0
date: 2025-10-31
publication date: 2025-10-31
starting page: 77
ending page: 86
doi: 10.21063/jtif.2025.V13.2.77-86

COMPARISON OF MACHINE LEARNING CLUSTERING ALGORITHMS FOR ANALYSING ELECTRICITY USAGE PATTERNS IN CAMPUS AREAS
type: item
description: Electricity consumption in campus environments varies based on building functions, occupancy patterns, and time-of-day usage. Understanding these variations is essential for efficient energy management. Uncontrolled electricity use often results in high operational costs, highlighting the need for accurate methods to uncover consumption patterns. This study analyzes electricity consumption data from multiple campus buildings at a polytechnic in Jakarta during 2023 and 2024. Each dataset consists of six columns and 365 rows in a year. Since the data is unlabeled, three clustering algorithms: K-Means, Hierarchical Clustering, and DBSCAN are applied to identify usage patterns across campus areas. Pre-processing included imputation and normalization, followed by clustering. Cluster quality was evaluated using the Silhouette Score. A key novelty of this study is the year-to-year comparative analysis, showing that clustering performance can vary significantly depending on data structure and noise. The 2023 dataset (dataset 1) achieved the highest Silhouette Score of 0.48 using DBSCAN, while the 2024 dataset (dataset 2) produced the best result with Hierarchical Clustering at 0.53. These results emphasize the importance of selecting clustering methods based on data characteristics and temporal context. The findings contribute to developing adaptive, data-driven strategies for managing energy use in non-residential settings, particularly in educational institutions like campuses.
subject: Article
  topic: section
subject: electricity consumption
  topic: keywords
subject: campus area
  topic: keywords
subject: clustering algorithm
  topic: keywords
subject: machine learning
  topic: keywords
creator: Diya Namira Purba
creator: Muhammad Ridha
creator: Rida Indah Fariani
creator: Harkiapri Yanto
rights: Copyright (c) 2025 Diya Namira Purba, Muhammad Ridha, Rida Indah Fariani, Harkiapri Yanto https://creativecommons.org/licenses/by-sa/4.0
date: 2025-10-31
publication date: 2025-10-31
starting page: 87
ending page: 96
doi: 10.21063/jtif.2025.V13.2.87-96

DEVELOPMENT OF REAL-TIME MULTI-LOCATION INVENTORY SYSTEM AT PT. AFA KARYALOKA NATA UTAMA USING V-MODEL
type: item
description: Inventory management in companies with multiple locations often faces challenges when conventional tools such as spreadsheets are still used, causing inefficiency and difficulties in maintaining accurate records. Previous studies have largely focused on single-location systems without real-time integration, leaving a gap in supporting centralized and synchronized inventory control. This study aims to develop a web-based inventory information system that supports real-time and multi-location operations to improve efficiency and accuracy in stock management. The system was developed using the V-Model methodology, which includes requirements analysis, system design, architectural design, module design, implementation, and testing. Research data were obtained through interviews with company employees and literature review. System testing was conducted using the Black Box Testing method, which focuses on validating functionality based on inputs and outputs without producing quantitative data. Therefore, the evaluation was based on the conformity of the system with the specified requirements. The results show that the developed system is capable of handling core functions such as warehouse and counter stock management, shipping records, return records, and user management, all integrated into a centralized database with real-time synchronization across locations. This ensures that inventory data remains consistent and up to date. In conclusion, the research successfully addresses the identified gap by presenting a web-based, multi-location inventory information system with real-time integration, thereby supporting greater efficiency, accuracy, and control in inventory management.
subject: Article
  topic: section
subject: Information System
  topic: keywords
subject: Inventory
  topic: keywords
subject: Multi-Location
  topic: keywords
subject: Real-Time
  topic: keywords
subject: V-Model
  topic: keywords
creator: Arif Sa’banna Hasibuan
creator: Tedi Setiadi
rights: Copyright (c) 2025 Arif Sa’banna Hasibuan; Tedi Setiadi https://creativecommons.org/licenses/by-sa/4.0
date: 2025-10-31
publication date: 2025-10-31
starting page: 66
ending page: 76
doi: 10.21063/jtif.2025.V13.2.66-76

CLASSIFICATION OF TRAFFIC TICKET CASES AT THE PAGAR ALAM DISTRICT ATTORNEY'S OFFICE USING THE C4.5 ALGORITHM
type: item
description: The increasing number of traffic violations in Pagar Alam City has led to a yearly rise in ticketing case data at the Pagar Alam District Attorney’s Office. This accumulation of data creates difficulties in effective data management and hinders the extraction of meaningful insights. The current classification process for ticketing cases remains limited in its accuracy and efficiency, making it difficult to identify patterns or trends. This study aims to address this issue by developing a classification model for traffic ticket cases using data mining techniques, specifically the C4.5 algorithm. The model classifies cases based on attributes such as the relevant article of law, type of vehicle, evidence submitted, and the fine imposed. The CRISP-DM framework is used to guide the process through six phases: business understanding, data understanding, data preparation, modeling, evaluation, and deployment. RapidMiner is used as the primary tool for data processing, and the model is evaluated using the X-Cross Validation technique. The results show that the C4.5 algorithm achieves a high classification accuracy of 99.75%. The “Article” attribute emerged as the most influential factor with the highest gain ratio value. These findings can support law enforcement and policymakers in identifying the most frequent violations and developing more targeted strategies to improve traffic law enforcement and public safety.
subject: Article
  topic: section
subject: Classification
  topic: keywords
subject: Data Mining
  topic: keywords
subject: C4.5 Algorithm
  topic: keywords
creator: Sabella Azhari
creator: Muntahanah
rights: Copyright (c) 2025 Sabella Azhari, Muntahanah https://creativecommons.org/licenses/by-sa/4.0
date: 2025-10-31
publication date: 2025-10-31
starting page: 57
ending page: 65
doi: 10.21063/jtif.2025.V13.2.57-65

DATA MINING ANALYSIS OF SHELL OIL SALES USING THE C4.5 ALGORITHM AT CV. HARAPAN KARYA MANDIRI
type: item
description: This study focuses on the analysis of Shell oil sales at CV. Harapan Karya Mandiri (HKM) Bengkulu, which faces challenges in predicting consumer demand and managing stock efficiently. CV. HKM Bengkulu is an official distributor of PT. Shell Indonesia, competing in the vehicle lubricant industry. To address the challenges of competition and demand uncertainty, this study applies data mining methods, particularly the C4.5 algorithm, to analyze historical sales data and uncover significant patterns and trends. Data mining is a technique that helps identify hidden patterns and insights in large datasets to support decision-making. The C4.5 algorithm is employed to build a predictive model through a decision tree, which classifies data based on certain variables such as oil type, sales region, or time period. This model is expected to assist CV. HKM in predicting customer demand, optimizing sales strategies, and improving stock planning efficiency. Additionally, the results from the C4.5 algorithm provide practical benefits by enabling CV. HKM to optimize inventory management, target marketing efforts more effectively, and enhance operational efficiency. The insights derived from the model support data-driven decisions, improve business performance, and maximize profits by aligning stock levels with demand trends, thereby reducing wastage and improving profitability.
subject: Article
  topic: section
subject: Analysis
  topic: keywords
subject: Data Mining
  topic: keywords
subject: Sales
  topic: keywords
subject: C4.5 Algorithm
  topic: keywords
creator: Seci Monika
creator: Muhammad Husni Rifqo
rights: Copyright (c) 2025 Seci Monika, Muhammad Husni Rifqo https://creativecommons.org/licenses/by-sa/4.0
date: 2025-10-31
publication date: 2025-10-31
starting page: 48
ending page: 56
doi: 10.21063/jtif.2025.V13.2.48-56

IMPLEMENTASI SISTEM KEAMANAN DAN HIGH AVAILABILITY PADA CLOUD SERVER MENGGUNAKAN AMAZON WEB SERVICES (AWS)
type: item
description: Service availability and security are critical aspects in web server management, particularly for educational institutions utilizing cloud-based technologies. This study aims to implement a high availability and security system on the SMKN 5 Padang web server using Amazon Web Services (AWS). The methods employed include load balancing using Elastic Load Balancing to evenly distribute workloads, Auto Scaling to dynamically adjust the number of instances based on traffic load, and Wazuh as a security monitoring system to detect and respond to cyber threats such as Denial of Service (DoS) attacks. System performance was evaluated through stress testing and security log analysis. The implementation results indicate that load balancing effectively optimizes network traffic distribution, Auto Scaling maintains service availability during traffic spikes, and Wazuh successfully detects and mitigates security threats in real time. The main contribution of this research is the enhancement of cloud-based web server architecture through a high availability and adaptive security approach, which can be adopted by other educational institutions. Future research is recommended to optimize the system using artificial intelligence to improve proactive cyber threat detection and response efficiency.
subject: Article
  topic: section
subject: AWS
  topic: keywords
subject: high availability
  topic: keywords
subject: load balancing
  topic: keywords
subject: Auto Scaling
  topic: keywords
subject: Wazuh
  topic: keywords
subject: keamanan siber
  topic: keywords
creator: Andre Febrian Kasmar
creator: Wahyuna Wahyuna
creator: Fanni Sukma
creator: Sitti Amalia
rights: Copyright (c) 2025 Andre Febrian Kasmar; Wahyuna Wahyuna, Fanni Sukma, Sitti Amalia https://creativecommons.org/licenses/by-sa/4.0
date: 2025-04-30
publication date: 2025-04-30
starting page: 40
ending page: 47
doi: 10.21063/jtif.2025.V13.1.40-47

RANCANG BANGUN SISTEM INFORMASI PENERIMAAN SISWA BARU BERBASIS WHATSAPP E-REMINDER
type: item
description: In the ever-evolving digital era, managing data and information in educational environments has become increasingly crucial. The new student admission process at SDIT Rabbani Kota Bengkulu still faces several challenges, such as document accumulation, difficulties in data management, and delays in administrative procedures. These issues hinder the smooth and efficient execution of the admission process. To address these problems, this study aims to design and develop a web-based student admission information system equipped with an e-Reminder feature through a WhatsApp Gateway. The research adopts the Waterfall development methodology, which includes analysis, design, implementation, testing, and maintenance stages. The system is built using the Laravel and Vue.js frameworks and is integrated with WhatsApp services to send automatic notifications regarding important admission steps and schedules. The implementation results indicate that the system has successfully streamlined the admission process, reduced administrative delays, and improved communication between the school and prospective student guardians. Therefore, this system enhances administrative performance in student admissions and provides a more modern and informative service experience.
subject: Article
  topic: section
subject: Information System
  topic: keywords
subject: E-reminder
  topic: keywords
subject: WhatsApp Gateway
  topic: keywords
subject: Laravel
  topic: keywords
subject: Vue.js
  topic: keywords
creator: Haris Suryamen
creator: Ullya Mega Wahyuni
creator: Muhammad Fairuzi Iszam Aziz
rights: Copyright (c) 2025 Haris Suryamen, Ullya Mega Wahyuni, Muhammad Fairuzi Iszam Aziz https://creativecommons.org/licenses/by-sa/4.0
date: 2025-04-30
publication date: 2025-04-30
starting page: 17
ending page: 27
doi: 10.21063/jtif.2025.V13.1.17-27

IDENTIFIKASI KEPADATAN PENDUDUK DI PROVINSI JAWA BARAT MENGGUNAKAN HIERARCHICAL CLUSTERING
type: item
description: This research applies a hierarchical clustering algorithm to identify population density patterns in West Java (18 regencies, 9 cities) as a basis for natural disaster management. Population density data for 2020-2022 from the West Java Population Office was analyzed to group areas into three categories: densest, medium, and lowest. The hierarchical clustering method was used to group areas based on population density and flood potential, with the additional attribute of river presence. The clustering results were evaluated using the Davies-Bouldin index. The results showed that the algorithm was successfully applied, grouping 20 districts/cities with the lowest population density (Cluster 0), 3 districts/cities with medium density (Cluster 1), and 4 districts/cities with the densest density (Cluster 2).This research is expected to provide insight to the government and related institutions in planning disaster mitigation based on population density patterns, so as to reduce the risk of natural disasters in the future. This research takes data from the official source https://jabar.bps.go.id/indicator/12/245/1/kepadatan-penduduk-menurut-kabupaten-kota.html. The main objective of this research is to understand population density patterns that can provide an indication of the level of risk to certain natural disasters in the West Java region. This information is expected to be used as a basis for more effective and efficient disaster management strategies in the future. The implication of this research shows that by understanding the pattern of population density and river distribution through the hierarchical clustering method, the government and related institutions can formulate more targeted disaster management strategies.
subject: Article
  topic: section
subject: Hierarchical Clustering
  topic: keywords
subject: Population density
  topic: keywords
subject: Disaster mitigation
  topic: keywords
subject: River
  topic: keywords
creator: Wahyu Iskandar Simanjuntak
creator: Yusran Timur Samuel
rights: Copyright (c) 2025 Wahyu Iskandar Simanjuntak, Yusran Timur Samuel https://creativecommons.org/licenses/by-sa/4.0
date: 2025-04-30
publication date: 2025-04-30
starting page: 28
ending page: 39
doi: 10.21063/jtif.2025.V13.1.28-39

MODEL REGRESI LOGISTIK DAN JARINGAN SYARAF TIRUAN UNTUK KLASIFIKASI MAHASISWA BERPOTENSI DROP OUT
type: item
description: Every university faces students who leave without notice, including those who fail to complete their studies and are declared as dropouts (DO). An initial step in addressing student dropout issues can be undertaken using classification techniques. This study aims to classify dropout students using logistic regression, which is compared with the Artificial Neural Network (ANN) method to categorize data into five classifications: Active, Graduated, Potential to Graduate, Potential DO, and DO. The dataset consists of academic records of undergraduate students from the Computer Science program, obtained from PUSTIPADA at UIN Sumatera Utara. The data includes entry year, study duration, semester GPA, cumulative GPA, credits per semester, total credits, and tuition fees. A total of 1,337 student records were divided into 80% training and 20% testing sets. The logistic regression model achieved an accuracy of 93% on the test data, while the ANN model performed better with an accuracy of 96%. This indicates that ANN is more effective in capturing complex and variable patterns in student data. The findings of this study contribute to academic institutions and educational policymakers, particularly in the Computer Science program, by providing insights for decision-making and developing intervention programs to prevent potential dropouts among students with similar characteristics to those in the dataset.
subject: Article
  topic: section
subject: Drop out
  topic: keywords
subject: Undergraduate students
  topic: keywords
subject: Logistic Regression
  topic: keywords
subject: Artificial Neural Network
  topic: keywords
creator: Armansyah Armansyah
creator: Suhardi Suhardi
rights: Copyright (c) 2025 Armansyah Armansyah, Suhardi Suhardi https://creativecommons.org/licenses/by-sa/4.0
date: 2025-04-30
publication date: 2025-04-30
starting page: 8
ending page: 16
doi: 10.21063/jtif.2025.V13.1.8-16

IMPLEMENTASI INCREMENTAL METHOD PADA RANCANG BANGUN WEBSITE PENERBIT PNP PRESS
type: item
description: PNP Press publisher is one of the publishers in Indonesia which is under the auspices of the Padang State Polytechnic State University. This publisher publishes two publishing models, namely magazines and books. The types of books published at PNP Press are scientific books, texts, and references. Meanwhile, the types of articles published in magazines are popular articles and articles from several columns. With the increasing demand for book and magazine publications at this publisher, a system is needed that can manage the publication process effectively and efficiently. This research aims to design and implement a website that can facilitate the publication and distribution process of magazines and books at PNP Press using the Incremental method. This method was chosen because it can accommodate various needs during the system development process. Using the Incremental Method in building publisher websites has proven capable of producing PNP Press publisher websites that suit user needs and ensure the system can be implemented effectively, namely in the form of books published using the open monograph press (OMP) and magazines using the open journal system (OJS).
subject: Article
  topic: section
subject: Publisher
  topic: keywords
subject: PNP Press
  topic: keywords
subject: OJS
  topic: keywords
subject: OMP
  topic: keywords
subject: Website
  topic: keywords
subject: Incremental Method
  topic: keywords
creator: Riyan Ikhbal Salam
creator: Ikhsan
creator: Rayendra
creator: Ismael
creator: Dian Eka Putra
creator: Ramadhani
rights: Copyright (c) 2025 Ikhsan https://creativecommons.org/licenses/by-sa/4.0
date: 2025-04-30
publication date: 2025-04-30
starting page: 1
ending page: 7
doi: 10.21063/jtif.2025.V13.1.1-7

ANALISIS LAHAN DAN REKOMENDASI TANAMAN PADA SISTEM PERTANIAN CERDAS BERBASIS IoT (Kasus : Lahan Petani Durian Tarung, Kec. Kuranji, Kota Padang)
type: item
description: Technology-based agriculture is a modern approach that utilises the Internet of Things (IoT) to efficiently support the production process. In Kampung Durian Tarung, Pasar Ambacang, Kuranji, Padang, West Sumatra, a group of horticultural farmers face challenges in determining the type of plants that are suitable for the soil quality of their land. This research develops an IoT-based system for land analysis that can recommend optimal crop types according to soil conditions. IoT technology is implemented to collect soil data, such as pH, moisture, and soil temperature, through wireless sensors. The data is analysed using a fuzzy method, which enables decision-making based on a number of soil quality parameters to provide more precise and real-time recommendations. The trial results show that the system is able to accurately measure soil conditions and provide appropriate crop recommendations based on the soil quality data obtained. The use of fuzzy methods proved effective in filtering data from sensors and adjusting crop recommendations based on threshold values on pH, humidity, and soil temperature. This research contributes to the field of smart agriculture by presenting an IoT-based solution specific to the needs of local horticulture farmers. Combining wireless sensor technology and fuzzy methods enables analyses that are more adaptive and relevant to the soil conditions on the farm. The success of this research provides direction for the development of similar systems that can be applied in other regions, and underlines the role of IoT technology in supporting agricultural sustainability through optimal utilisation of data.
subject: Article
  topic: section
subject: Land analysis
  topic: keywords
subject: crop recommendation
  topic: keywords
subject: wireless sensor (WSN)
  topic: keywords
subject: Internet of Things (IoT)
  topic: keywords
creator: Busran Busran
creator: Anna Syahrani
creator: Eko Kurniawanto Putra
creator: Eva Yulianti
creator: Muhammad vajri Djauhari
rights: Copyright (c) 2024 Muhammad Vajri Djauhari, Busran Busran, Eva Yulianti, Eko Kurniawanto Putra, Anna Syahrani https://creativecommons.org/licenses/by-sa/4.0
date: 2024-10-30
publication date: 2024-10-30
starting page: 92
ending page: 99
doi: 10.21063/jtif.2024.V12.2.92-99

PENGEMBANGAN WEB SERVICE MENGGUNAKAN FRAMEWORK FASTAPI UNTUK MENINGKATKAN KEMUDAHAN INTEGRASI SISTEM INFORMASI AKADEMIK MULTIPLATFORM
type: item
description: Academic activities at Dian Nuswantoro University are managed using a web-based and mobile-based (Android and IOS) academic information system for students, lecturers, educators, and parents (guardians). The data retrieval process used by the academic information system is currently in each system itself so that it is prone to errors. Therefore, a back-end service is needed in the form of a web service that acts as a portal for the data retrieval process that can be used by the multiplatform academic information system. In addition to helping to avoid data retrieval errors, the web service that is built also provides complete and easy-to-understand documentation of web service usage. The average time required for the web service to provide a response when accessed by 1000 users is 6198ms (minimum 17ms and maximum 10017ms), meaning that the web service has good performance under high loads. The Extreme Programming method was chosen for the development of the web service in this study. This method consists of four stages, namely planning (analysis of what the system needs), design (visualization with Use Case diagrams), coding (using FastAPI Framework), and the last is testing (using BlackBox and JMeter for testing functions and security). The simplicity of this method can support the achievement of the desired results, namely a back-end service in the form of a web service, which can be used by a multi-platform academic information system to exchange data easily and accurately so that errors can be avoided, especially inconsistencies in presenting academic data.
subject: Article
  topic: section
subject: Academic System
  topic: keywords
subject: Multiplatform
  topic: keywords
subject: Web Service
  topic: keywords
subject: FastAPI
  topic: keywords
creator: Aprilyani Nur Safitri
creator: Imanuel Harkespan
rights: Copyright (c) 2024 Aprilyani Nur Safitri, Imanuel Harkespan https://creativecommons.org/licenses/by-sa/4.0
date: 2024-10-30
publication date: 2024-10-30
starting page: 149
ending page: 157
doi: 10.21063/jtif.2024.V12.2.149-157

SISTEM PENYIRAMAN OTOMATIS PADA PEMBIBITAN PRE-NURSERY KELAPA SAWIT BERBASIS INTERNET OF THINGS
type: item
description: The application of automation technology in the agricultural sector is a highly effective solution for improving the efficiency and productivity of seedling cultivation, particularly in oil palm nurseries. CV Pangean Raya TBS is an oil palm nursery business located in Solok Selatan Regency. CV Pangean Raya TBS is currently facing challenges in the watering process of oil palm seedlings, as it is still done manually. This manual method leads to wasted time, labor, and water. Manual watering often results in uneven water distribution, which can affect the quality of the oil palm seedlings. This research aims to design and implement an efficient Internet of Things (IoT)-based automatic watering system using a soil moisture sensor, ESP32 module, and RTC. The system is designed to monitor soil moisture conditions in real time and regulate watering automatically. The automatic watering is based on the moisture values detected by the sensor. Watering can also be manually controlled via a smartphone when needed, such as during rainfall, to prevent water wastage and overwatering of the oil palm seedlings. This system can help plantation owners optimize water usage, increase seedling productivity, and reduce dependence on manual labor. The research results indicate that the watering system can operate automatically based on the moisture data received, making it effective in conserving resources, improving productivity, and providing better control over plant conditions.
subject: Article
  topic: section
subject: Automatic
  topic: keywords
subject: Palm Oil
  topic: keywords
subject: IoT
  topic: keywords
subject: Humidity
  topic: keywords
creator: Dian Eka Putra
creator: Edwar Rosman
creator: Katrina Flomina G
creator: Miftahul Hasanah
creator: Riyan Ikhbal Salam
rights: Copyright (c) 2024 Dian Eka Putra, Edwar Rosman, Katrina Flomina G, Miftahul Hasanah, Riyan Ikhbal Salam https://creativecommons.org/licenses/by-sa/4.0
date: 2024-10-30
publication date: 2024-10-30
starting page: 131
ending page: 138
doi: 10.21063/jtif.2024.V12.2.131-138

PERANCANGAN SISTEM INFORMASI ANALIS BREAK EVEN POINT DAN STOK PADA BUDIDAYA AYAM POTONG BERBASIS WEB
type: item
description: Although broiler chicken farming offers many benefits, there are also risks of losses, especially when production costs are not accurately recorded, leading to inaccurate per-unit pricing that can harm farmers. To assist farmers in accurately determining the Break Even Point (BEP) price for each chicken, a web-based cost and stock management information system for broiler farming has been developed. To provide a clear and sequential software lifecycle approach, this system was built using the waterfall method, which includes the stages of requirements analysis, design specifications, coding, testing, and maintenance. Each stage produces measurable outcomes before proceeding to the next. The development results indicate that the system successfully records the total production costs, including detailed costs for feed, medicine, operational expenses, and chicken stock. By using the formula BEP = total production cost/number of live chickens, the system achieves accurate pricing for broiler chickens. Based on these findings, future research is suggested to improve the user interface for greater appeal, optimize system accessibility on mobile devices, and integrate this system with other systems.
subject: Article
  topic: section
subject: Ayam Potong
  topic: keywords
subject: BEP
  topic: keywords
subject: Biaya
  topic: keywords
subject: Budidaya
  topic: keywords
subject: Sistem Informasi
  topic: keywords
subject: Stok
  topic: keywords
creator: Khoiril Afif
creator: Yudi Kristyawan
creator: Slamet Kacung
rights: Copyright (c) 2024 khoiril afif, Yudi Kristyawan, Slamet Kacung https://creativecommons.org/licenses/by-sa/4.0
date: 2024-11-11
publication date: 2024-11-11
starting page: 111
ending page: 119
doi: 10.21063/jtif.2024.V12.2.111-119

INOVASI E-COMMERCE UNTUK OPTIMALISASI PROSES KONSUMEN, PRODUKSI, DAN PEMASARAN BAGI PELAKU UMKM
type: item
description: E-commerce technology enables efficient online transactions, providing customers with a convenient and efficient purchasing experience. In terms of production, e-commerce information systems can be integrated with production management, enabling monitoring of the production process, optimizing production efficiency and reducing the risk of stock shortages. E-commerce technology also opens up opportunities for more sophisticated marketing strategies, as MSMEs can utilize consumer data analysis, increasing customer appeal and ordering and sales. E-commerce technology facilitates direct interaction between consumers, fostering closer relationships and improving customer experience. The development of e-commerce technology has significantly increased the effectiveness and efficiency of MSMEs specifically in the fried chicken sector, enabling them to compete in the digital business era. The purpose of this study is to develop an E-Commerce information system in the "Maju Makmur" Kalasan fried chicken industry center that manages MSMEs fried chicken. The research method is a prototype model. This model starts from data collection, system design and testing. The stages of the prototyping development model consist of: communication, rapid planning, rapid modeling, construction, and delivery. The results of this study are a web-based system to optimize consumer, production, and marketing processes in order to increase operational efficiency and market access through an online platform.
subject: Article
  topic: section
subject: E-commerce
  topic: keywords
subject: Business Optimization
  topic: keywords
subject: Consumer Management
  topic: keywords
subject: Production Efficiency
  topic: keywords
subject: Digital Marketing
  topic: keywords
creator: Zaidir Zaidir
creator: V Wiratna Sujarweni
creator: Erizal Erizal
rights: Copyright (c) 2024 Zaidir Zaidir, V Wiratna Sujarweni, Erizal Erizal https://creativecommons.org/licenses/by-sa/4.0
date: 2024-10-30
publication date: 2024-10-30
starting page: 120
ending page: 130
doi: 10.21063/jtif.2024.V12.2.120-130

PERANCANGAN APLIKASI PERHITUNGAN BEBAN KERJA DOSEN TERINTEGRASI DENGAN PENDEKATAN WATERFALL
type: item
description: Digital transformation in higher education emphasizes the importance of information technology in enhancing management efficiency, including the management of lecturers' workloads. This study aims to design a Full-Time Equivalent Teaching Load (EWMP) calculation system integrated with the Integrated Resource Information System (SISTER), implemented by the Ministry of Education, Culture, Research, and Technology (KEMDIKBUDRISTEK). The application was developed using the Waterfall methodology and leverages the SISTER Application Programming Interface (API) to automate the collection of lecturer activity data at Universitas Dian Nuswantoro Semarang (UDINUS). By integrating the workload calculation application into the internal management system, this solution streamlines data recording, reduces manual errors, and enhances accuracy in the evaluation of lecturer performance. The test results indicate that the application successfully synchronizes data with SISTER in an accurate and real-time manner, supporting more effective workload management for lecturers. Additionally, the system provides reports and analyses of lecturer workloads, facilitating resource planning and allocation. This application is expected to contribute to a more transparent, accurate, and quality-driven human resource management process in higher education.
subject: Article
  topic: section
subject: Academic
  topic: keywords
subject: API
  topic: keywords
subject: Integration
  topic: keywords
subject: SISTER-API
  topic: keywords
subject: Waterfall
  topic: keywords
creator: Danny Oka Ratmana
creator: Muhammad Syaifur Rohman
creator: Fahri Firdausillah
creator: Galuh Wilujeng Saraswati
rights: Copyright (c) 2024 Danny Oka Ratmana, Muhammad Syaifur Rohman, Fahri Firdausillah, Galuh Wilujeng Saraswati https://creativecommons.org/licenses/by-sa/4.0
date: 2024-10-30
publication date: 2024-10-30
starting page: 139
ending page: 148
doi: 10.21063/jtif.2024.V12.2.139-148

PERANCANGAN PROTOTIPE APLIKASI PERUMAHAN TAMAN KENARI SENSOR MONITOR MENGGUNAKAN METODE AGILE
type: item
description: Taman Kenari Housing Complex is a residential area located in Bogor Regency, West Java. The complex is relatively quiet during the day, evening, and night, which can lead to security issues for the homes. One of the problems faced by the residents of Taman Kenari Housing Complex is the lack of effective monitoring and supervision of their home security. To address this issue, the author designed a prototype application called Taman Kenari Sensor Monitor using the Agile method. The purpose of this study is to design the Taman Kenari Sensor Monitor prototype as an effective solution to enhance the security and efficiency of home monitoring in the Taman Kenari Housing Complex. Through this prototyping approach, the Taman Kenari Sensor Monitor application can be visually represented in the form of a mockup that meets user needs while being efficient in terms of functionality and aesthetics. The prototype is designed using UML (Unified Modeling Language) modeling and implemented in the form of a mockup created in Figma. Application testing was carried out using the Blackbox method to test the overall functionality of the application. This study provides a structured solution to address the home security issues in the Taman Kenari Housing Complex.
subject: Article
  topic: section
subject: agile methodology
  topic: keywords
subject: blackbox method
  topic: keywords
subject: home security
  topic: keywords
subject: UML (Unified Modeling Language)
  topic: keywords
subject: Prototype
  topic: keywords
creator: Ichramsyah Abdurrachman
creator: Diki Gita Purnama
rights: Copyright (c) 2024 Ichramsyah Abdurrachman Universitas Paramadina, Diki https://creativecommons.org/licenses/by-sa/4.0
date: 2024-10-30
publication date: 2024-10-30
starting page: 84
ending page: 91
doi: 10.21063/jtif.2024.V12.2.84-91

IMPLEMENTASI FUZZY TSUKAMOTO DALAM SISTEM PREDIKSI PANEN PADI DI KABUPATEN INDRAMAYU
type: item
description: Strategic efforts to maintain rice production, which is the staple food of the Indonesian people, must continue to be carried out, one of which is maintaining production in rice-producing areas such as Indramayu Regency is a step that must be prioritized. Knowing the prediction of the upcoming rice harvest is the right effort to make. Fuzzy Tsukamoto logic is a method that can be used as a calculation to make predictions, the selection of fuzzy Tsukamoto is due to its ability to predict with factors that have uncertainty such as rainfall, in addition, land area and harvest yields can also be used as variables to obtain predictions through fuzzy Tsukamoto. This study was conducted to implement fuzzy Tsukamoto for predicting rice harvest yields, where the results of the fuzzy Tsukamoto logic process that have been carried out produce six rules at the inference stage in the category of increasing or decreasing harvests, which are used as the basis for the defuzzification process to find the output value of the harvest. The calculation results are then applied in a website-based system using the Laravel framework and MySql DBMS so that they can be used to predict rice harvest yields. Based on the prediction process carried out through a system based on the fuzzy Tsukamoto method, out of 31 sub-districts, 16 sub-districts have the potential to experience a decline, and 15 sub-districts have experienced an increase in rice harvest production in Indramayu Regency.
subject: Article
  topic: section
subject: Fuzzy Tsukamoto
  topic: keywords
subject: Prediction
  topic: keywords
subject: Harvest
  topic: keywords
subject: Paddy
  topic: keywords
subject: Indramayu
  topic: keywords
creator: Riyan Farismana
creator: Debi Nabilah Sholihah
creator: Dian Pramadhana
creator: Sonty Lena
rights: Copyright (c) 2024 riyan farismana, Debi Nabilah Sholihah, Dian Pramadhana, Sonty Lena https://creativecommons.org/licenses/by-sa/4.0
date: 2024-10-30
publication date: 2024-10-30
starting page: 100
ending page: 110
doi: 10.21063/jtif.2024.V12.2.100-110

IMPLEMENTASI CHATBOT YANG TERINTEGRASI LAYANAN KEPOLISIAN DALAM PEMBUATAN SIM
type: item
description: This research explores the deployment of a chatbot integrated with police services, focusing on the driver's license (SIM) application process. The urgency of this research arises from the need to enhance the accessibility and efficiency of public services. By leveraging Natural Language Processing (NLP), the chatbot is designed to provide rapid and accurate information regarding the SIM application procedures, renewal guidelines, and necessary documents. The study employs a mixed-methods approach, combining quantitative methods such as surveys and statistical analysis with qualitative methods including observations and interviews. This comprehensive approach allows for the development and assessment of the chatbot system within the context of SIM applications. The findings reveal that the chatbot significantly reduces processing time, improves user satisfaction, and streamlines the overall application experience. This integration demonstrates substantial potential for advancing public service delivery by making it more accessible and efficient. The research underscores that chatbot technology can play a crucial role in modernizing and optimizing public services, offering scalable solutions for future improvements in service delivery.
subject: Article
  topic: section
subject: natural language processing
  topic: keywords
subject: (NLP)
  topic: keywords
subject: driver's license
  topic: keywords
subject: (SIM)
  topic: keywords
subject: chatbots
  topic: keywords
subject: police services
  topic: keywords
subject: service efficiency
  topic: keywords
creator: Ekananda Naufal Allaam
creator: Eri Zuliarso
rights: Copyright (c) 2024 Ekananda Naufal Allaam Eka, Eri Zuliarso https://creativecommons.org/licenses/by-sa/4.0
date: 2024-10-30
publication date: 2024-10-30
starting page: 77
ending page: 83
doi: 10.21063/jtif.2024.V12.2.77-83

IMPLEMENTASI QUESTION ANSWERING SYSTEM TAFSIR AL- AZHAR MENGGUNAKAN LANGCHAIN DAN LARGE LANGUAGE MODEL BERBASIS CHATBOT TELEGRAM
type: item
description: Tafsir is a main gateway for a Muslim to study and understand the content of the verses in the Quran. One example is Tafsir Al-Azhar. Tafsir Al-Azhar is a commentary authored by Professor Dr. Hamka, which demonstrates how Dr. Hamka connects modern Islamic history with Quranic studies. Tafsir Al-Azhar has a large number of pages, requiring extra effort when searching for information within it. This research aims to create a system capable of receiving questions about Tafsir Al-Azhar in natural language and answering them in user-friendly terms. The technology used in this research includes Langchain and Large Language Models, implemented using a Telegram chatbot. Telegram was chosen for its popularity and user-friendly interface. The Question Answering system was tested using User Acceptance Testing (UAT) and the DeepEval framework. The UAT resulted in an accuracy score of 83.71%, while testing using the DeepEval framework yielded a hallucination score of 41%, contextual precision of 90%, contextual recall of 81%, and contextual relevancy of 79%.
subject: Article
  topic: section
subject: Question Answering System
  topic: keywords
subject: Langchain
  topic: keywords
subject: Large Language Model
  topic: keywords
subject: Tafsir Al-Quran
  topic: keywords
subject: Chatbot
  topic: keywords
creator: Aji Bayu Permadi
creator: Nazruddin Safaat H
creator: Lestari Handayani
creator: Yusra
rights: Copyright (c) 2024 Aji Bayu Permadi, Nazruddin Safaat H, Lestari Handayani, Yusra https://creativecommons.org/licenses/by-sa/4.0
date: 2024-04-29
publication date: 2024-04-29
starting page: 62
ending page: 69
doi: 10.21063/jtif.2024.V12.1.62-69

SIMULASI MONTE CARLO UNTUK ESTIMASI PENGADAAN ATK (STUDI KASUS DI INSTITUT TEKNOLOGI PADANG)
type: item
description: Office Stationery (ATK) is one of the operational needs at the Padang Institute of Technology (ITP). Stationery procurement is carried out twice a year with an annual budget submission. ATK management is carried out manually starting from requests to the transaction system. Current conditions have resulted in procurement planning not being measured, resulting in running out of certain items in the middle of the period or excess of certain items at the end of the year. How to help the procurement department to determine procurement estimates, so that they can provide goods optimally and use the budget more effectively and efficiently for the coming period. Processing is carried out on ATK transaction data using the Monte Carlo simulation method. Simulation stages include determining probability, calculating cumulative distribution, determining intervals of random numbers, forming random numbers and creating simulations. The results of the simulations carried out can determine the estimated quantity of goods procurement and can reduce procurement costs by 25.6% when compared to procurement in the previous even semester period. The level of accuracy of results in predicting future conditions depends on the amount of historical data involved in this process. The simulation method used can be adjusted to the object being studied and the variables that object has.
subject: Article
  topic: section
subject: Simulation
  topic: keywords
subject: Monte Carlo
  topic: keywords
subject: ATK
  topic: keywords
subject: ITP
  topic: keywords
creator: Hamdi Habdillah
creator: Jufriadif Na’am
rights: Copyright (c) 2024 Hamdi Habdillah, Jufriadif Na’am https://creativecommons.org/licenses/by-sa/4.0
date: 2024-04-29
publication date: 2024-04-29
starting page: 56
ending page: 61
doi: 10.21063/jtif.2024.V12.1.56-61

TOPIC ANALYSIS VIDEO DEBAT JELANG PEMILU PRESIDEN DAN WAKIL PRESIDEN TAHUN 2024 DENGAN LATENT DIRICHLET ALLOCATION
type: item
description: Several debates were held among presidential and vice presidential candidates to convey their ideas for the 2024 presidential general election (PEMILU). This research analyzes the topics discussed in the debates using Latent Dirichlet Allocation (LDA), K-means Clustering, and word tagging methods for each candidate pair. The K-Means Clustering method yielded more diverse and evenly distributed topics for each candidate pair, while LDA produced fewer topics but was more effective in identifying topics for candidate A. The K- Means Clustering method yielded more diverse and evenly distributed topics for each candidate pair, while LDA produced fewer topics but was more effective in identifying topics for candidate. These are somewhat consistent with previos works. A. In dataset 1 using the LDA model, candidate pairs A have a probability of 60%, B have a probability of 25%, and C have a probability of 0%. In dataset 2 using the K-Means model, candidate pairs A have a probability of 37.04%, B have a probability of 25%, and C have a probability of 17.24%. In dataset 2 using the LDA model, candidate pairs A have a probability of 100%, B have a probability of 40%, and C have a probability of 0%. In dataset 2 using the K-Means model, candidate pairs A have a probability of 35.71%, B have a probability of 14.29%, and C have a probability of 28.57%.
subject: Article
  topic: section
subject: Topic Modelling
  topic: keywords
subject: Latent Dirichlet Allocation
  topic: keywords
subject: K-Means
  topic: keywords
creator: Ivana Valentina
creator: Aziz Mu’min
creator: Devion Tanrico
creator: Oscar Karnalim
rights: Copyright (c) 2024 Ivana Valentina, Aziz Mu’min, Devion Tanrico, Oscar Karnalim https://creativecommons.org/licenses/by-sa/4.0
date: 2024-04-29
publication date: 2024-04-29
starting page: 29
ending page: 35
doi: 10.21063/jtif.2024.V12.1.29-35

ANALISIS KEPUASAN OPAC DI PERPUSTAKAAN POLITEKNIK KESELAMATAN TRANSPORTASI JALAN DENGAN PIECES FRAMEWORK
type: item
description: OPAC has a significant effect on the quality of user service satisfaction, both partially and simultaneously. The problems with OPAC in higher education libraries are that information on book locations is not appropriate, information on book availability is less valid, lack of knowledge, lack of computer facilities, and barriers to access to information. The OPAC SliMS satisfaction analysis of the Tegal Road Transportation Safety Polytechnic Library is proposed with 4 research stages consisting of the identification stage, indicator development, data analysis, results and findings. PIECES (Performance, Information, Economy, Control, Efficiency and Service Framework) was adopted to compile indicators and analyze the level of satisfaction of 263 respondents. Data analysis is based on 30 questions in the questionnaire given to respondents in January 2023. The results of the analysis show that efficiency has a level of satisfaction was the highest with a score of 4.10 which was in the very satisfied category, while performance had the lowest level of satisfaction with a score of 3.96 which was in the satisfied category. These results can be used as a reference for making improvements to improve the quality of library services from the perspective of user satisfaction of the SLiMS OPAC application.
subject: Article
  topic: section
subject: OPAC
  topic: keywords
subject: SliMS
  topic: keywords
subject: PIECES
  topic: keywords
subject: Library
  topic: keywords
subject: Satisfaction
  topic: keywords
creator: Bagus Ikapraja
creator: Joko Siswanto
rights: Copyright (c) 2024 Bagus Ikapraja, Joko Siswanto https://creativecommons.org/licenses/by-sa/4.0
date: 2024-04-29
publication date: 2024-04-29
starting page: 47
ending page: 55
doi: 10.21063/jtif.2024.V12.1.47-55

PENGEMBANGAN APLIKASI DEWAN KELUARGA MASJID (DKM) REGISTRATION SYSTEM MENGGUNAKAN METODE WATERFALL
type: item
description: The Mosque Family Council (DKM) Paramadina regularly holds various events or activities such as the Prophet Muhammad's Maulid event, Qurban, to the Religious Festival. One of the problems often faced by DKM Paramadina is that registration and attendance data are not synchronized, making it difficult to ensure that participants are entitled to event benefits. To overcome this problem, DKM Paramadina needs an effective and efficient registration and attendance system in ensuring data consistency. The purpose of this study is to improve and develop an event registration and attendance recording system using the Waterfall Method approach. The result of this study is a web-based DKM Registration System, which allows the use of recording and monitoring the attendance of event participants efficiently. This system utilizes Next.js Framework for Frontend, Express.js for Backend, and Node.js as runtime. To store registration and attendance data, this system is integrated with Google Spreadsheet by utilizing Google Application Programming Interface (API). In addition, Node Mailer is also used to send a QR Code to the registrant's email for attendance. The Blackbox method has been used to test the effectiveness of the DKM Registration System and the results show good performance. This research provides a solution to overcome conventional problems in data management, ensuring registration and attendance data remain synchronized and consistent.
subject: Article
  topic: section
subject: Web Based Application
  topic: keywords
subject: Registration and Attendance System
  topic: keywords
subject: Waterfall Method
  topic: keywords
subject: Blackbox Method
  topic: keywords
creator: Muhamad Adillah Fatih
creator: Reza Arif Maulana
creator: Rizki Reza Pratama
creator: Muhammad Darwis
creator: Retno Hendrowati
rights: Copyright (c) 2024 Muhamad Adillah Fatih, Reza Arif Maulana, Rizki Reza Pratama, Muhammad Darwis, Retno Hendrowati https://creativecommons.org/licenses/by-sa/4.0
date: 2024-04-29
publication date: 2024-04-29
starting page: 36
ending page: 46
doi: 10.21063/jtif.2024.V12.1.36-46

SISTEM INFORMASI PELATIHAN PADA BALAI DIKLAT INDUSTRI PADANG BERBASIS MOBILE MENGGUNAKAN API DAN BAHASA PEMOGRAMAN KOTLIN
type: item
description: Balai Diklat Industri (BDI) Padang is an institution that focuses on training in the field of embroidery and fashion to develop the skills of individuals or groups. Currently, the training is operated using a web-based application through a laptop, but there are feature limitations that hinder the effectiveness of training management. The main problem related to the web application feature at this time is having too many menu features so that employees have to look for menus related to training, instructors have not been able to take attendance of participants through the web, and participants have not been able to access training activities that exist in BDI Padang. Therefore, BDI Padang wants to improve training management by developing a web application into a mobile application. In this development, API (Application Programming Interface) is used as an interface medium between systems, with the type of API used being RESTful API. RESTFul API acts as a bridge for data communication between clients and databases, with output in the form of JSON data. The programming language for Android uses Kotlin and Retrofit as a REST Client that retrieves and sends data through the RESTful API web service. System testing is done using the black box testing on all functionalities according to the initial system design. The test results show that all the functionalities designed run according to the system requirements. This research produces an Android system in the form of an application package file (APK) for the training information system at BDI Padang.
subject: Article
  topic: section
subject: Training
  topic: keywords
subject: mobile app
  topic: keywords
subject: APIs
  topic: keywords
subject: RestFul APIs
  topic: keywords
creator: Haris Suryamen
creator: Annisa Wistia Rizalmi
creator: Ullya Mega Wahyuni
rights: Copyright (c) 2024 Haris Suryamen, Annisa Wistia Rizalmi, Ullya Mega Wahyuni https://creativecommons.org/licenses/by-sa/4.0
date: 2024-04-29
publication date: 2024-04-29
starting page: 18
ending page: 28
doi: 10.21063/jtif.2024.V12.1.18-28

PENERAPAN SISTEM PENDUKUNG KEPUTUSAN DALAM MENENTUKAN PRIORITAS LOKASI PEMASARAN PADA PT. ASKRINDO CABANG MEDAN MENGGUNAKAN METODE AHP DAN PROMETHEE
type: item
description: P.T. (Persero) Credit Insurance Indonesia is one of the state-owned enterprises (SOEs) that engage in insurance or guarantees. The existence of PT Asuransi Kredit Indonesia (Askrindo), which is one of the state-owned enterprises (SOE), has always been associated with the success of the economic development of the Nation and the Republic of Indonesia. Marketing plays a major role in the company, including PT Askrindo; However, determining strategic marketing location priorities requires careful analysis of drivers to avoid both tangible and intangible losses. The purpose of this research is to develop a decision support system (DSS) using a combination of the analytical hierarchy process (AHP) and the PROMETHEE method, which can be considered in the selection of priority marketing positions based on predetermined standard . Using AHP and PROMETHEE methods to prioritize marketing locations with multiple location alternatives can aid decision-making activities, thereby improving a company's efficiency in making informed decisions. Having a decision support system, it can serve as a solution to help the branch of PT Askrindo in Medan to make decisions in choosing the best priority marketing positions.
subject: Article
  topic: section
subject: Decision Support System (DSS),
  topic: keywords
subject: Marketing Location
  topic: keywords
subject: Analytical Hierarchy Process (AHP)
  topic: keywords
subject: PROMETHEE
  topic: keywords
creator: Fathania Zulfani
creator: Haris Suryamen
creator: Ullya Mega Wahyuni
rights: Copyright (c) 2024 Fathania Zulfani, Haris Suryamen, Ullya Mega Wahyuni https://creativecommons.org/licenses/by-sa/4.0
date: 2024-11-11
publication date: 2024-11-11
starting page: 70
ending page: 76
doi: 10.21063/jtif.2024.V12.2.70-76

IMPLEMENTASI SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN ALAT KONTRASEPSI DENGAN METODE AHP DAN TOPSIS (STUDI KASUS DI PUSKESMAS GUNUNG LABU)
type: item
description: The problem that is often faced is that many mothers of couples of childbearing age do not understand how to choose a contraceptive method that is suitable for use. To address this problem among couples of reproductive age in choosing the most appropriate contraceptive method, the Analytical Hierarchy Process (AHP)-Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method is proposed to be utilized. It is expected to be beneficial in aiding the selection of a suitable contraceptive method for users. The objective of this research is to implement the AHP-TOPSIS method in a decision support system for choosing contraceptive methods for couples of reproductive age at the Gunung Labu Community Health Center. The results of the analysis using the AHP-TOPSIS method indicate that the appropriate contraceptive methods for couples of reproductive age are Implan, IUD, Birth Control Injection, and Birth Control Pills. The combination of AHP-TOPSIS in contraceptive method selection yields the conclusion that the Decision Support System (DSS) built in this research is expected to facilitate midwives in recommending contraceptive methods for couples of reproductive age. AHP method is employed to calculate the weights of each contraceptive method criterion. The results of the priority weight calculations for all criteria used in this study yielded a Consistency Index (CI) of 0.07. The analysis using the AHP-TOPSIS method resulted in Implan, IUD, Birth Control Injection, and Birth Control Pills being identified as the appropriate contraceptive methods for couples of reproductive age.
subject: Article
  topic: section
subject: Contraceptive Methods
  topic: keywords
subject: AHP
  topic: keywords
subject: TOPSIS
  topic: keywords
subject: DSS
  topic: keywords
creator: Pipin Refina Afindania
creator: Sarjon Defit
creator: Sumijan
rights: Copyright (c) 2024 Pipin Refina Afindania, Sarjon Defit, Sumijan https://creativecommons.org/licenses/by-sa/4.0
date: 2024-04-29
publication date: 2024-04-29
starting page: 1
ending page: 9
doi: 10.21063/jtif.2024.V12.1.1-9

Pengaruh Probabilitas Crossover Terhadap Kinerja Algoritma Genetika Dalam Optimasi Penjadwalan Matakuliah
type: item
description: Genetic Algorithm speed is determined by computation time. Computing time in AG for finding the optimum value is strongly influenced by the following parameters: population size, crossover probability (Pc), mutation probability (Pm), and the selected selection method. Pc is one of the essential parameters in AG. A chromosome that will reach the best solution can be obtained from the crossover process of the two parent chromosomes. The Pc value strongly influences the crossover process. Determining the appropriate and correct Pc value indicates how large the parent chromosome will experience crossover.The method used to analyze the effect of Pc on AG performance is changing the Pc value between 0.80-0.95. The simulation used MATLAB R2012b to obtain the best computational time for each Pc value. Meanwhile, the other AG parameters remained the same: Pm=0.05 and population size=100 for each change of Pc value.The test results using MATLABR2012b show that the fastest computing time is in the range of Pc values between 0.85-0.95 with an average computation time of 0.14564s. This indicates that for the case of optimizing the scheduling of courses in the Unimed Electrical Engineering study program, the Pc value between 0.85-0.95 will provide the fastest computation time.
subject: Article
  topic: section
subject: Crossover probability
  topic: keywords
subject: genetic algorithm
  topic: keywords
subject: computation time
  topic: keywords
subject: course scheduling
  topic: keywords
creator: Rudi Salman
creator: Suprapto
creator: Irfandi
rights: Copyright (c) 2023 Rudi Salman, Suprapto, Irfandi https://creativecommons.org/licenses/by-sa/4.0
date: 2023-10-30
publication date: 2023-10-30
starting page: 69
ending page: 74
doi: 10.21063/jtif.2023.V11.2.69-74