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All Journal Jurnal Buana Informatika CommIT (Communication & Information Technology) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Ilmiah FIFO Jurnal Teknoinfo Jurnal Teknologi Sistem Informasi dan Aplikasi CYBERNETICS Jurnal Riset Informatika JOISIE (Journal Of Information Systems And Informatics Engineering) Progresif: Jurnal Ilmiah Komputer TEKNOKOM : Jurnal Teknologi dan Rekayasa Sistem Komputer Jurnal Teknologi Informasi dan Multimedia JURNAL TEKNIK Jurnal ABDINUS : Jurnal Pengabdian Nusantara Jurnal Teknik Informatika C.I.T. Medicom JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) JIKA (Jurnal Informatika) Journal of Management and Bussines (JOMB) Jurnal Inovasi Informatika Idealis : Indonesia Journal Information System Jurnal Teknik Informatika (JUTIF) Journal of Applied Data Sciences Jurnal Komputer, Informasi dan Teknologi Prosiding Konferensi Nasional PKM-CSR Joutica : Journal of Informatic Unisla
Mayatopani, Hendra
Information System, Faculty Of Science And Technology, Universitas Pradita, Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Nursing Public Health Social Sciences

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Journal : Jurnal Teknik Informatika (JUTIF)

 1 
ANDROID-BASED UTILITY FACILITY MAINTENANCE APPLICATION USING DYNAMIC SYSTEM DEVELOPMENT METHODOLOGY (DSDM) Edison Siregar, Master; Mayatopani, Hendra; Kurniawan, Rido Dwi; Prathama, Dhion Angga
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.4.2371

Abstract

In the ever-evolving digital era, the maintenance of utility facilities is becoming increasingly important to ensure smooth operations and services. Utility facilities include critical infrastructure such as waterways, electricity, and communication networks that must be properly maintained to maintain their function and reliability. The main contribution of this research is the application of DSDM in the development of related applications to improve the maintenance efficiency of utility facilities. organizational challenges faced in managing maintenance processes effectively, including untimely reporting issues, poor coordination, and lack of integration with company systems. To address this issue, this paper presents the development of an Android-based application designed to streamline and improve the maintenance process of utility facilities. The application leverages the Dynamic Systems Development Methodology (DSDM), known for its iterative and incremental approach, to ensure on-time delivery and adaptability to changing needs. The main goal of the app is to provide facility managers and maintenance personnel with a comprehensive solution through features such as real-time reporting, maintenance scheduling, and task management. By implementing DSDM in the context of utility maintenance, application users can be actively involved in the entire development process, allowing for rapid adaptation to changing needs The results of the development of this application are expected to improve the maintenance management of utility facilities efficiently, encourage preventive maintenance, and optimize the performance of these vital infrastructures.
Development of a Church Information Management System Using Scrum at HKBP Sola Gratia Kayu Mas Jakarta Siregar, Master Edison; Mayatopani, Hendra; Olivia, Deasy; Kurniawan, Rido Dwi
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 5 (2025): JUTIF Volume 6, Number 5, Oktober 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.5.4979

Abstract

The rapid growth of the congregation at HKBP Sola gratia Kayu Mas Church in Jakarta has posed challenges in managing member data efficiently and effectively. The previous data management system, which relied on Microsoft Excel, showed significant limitations in data retrieval, family grouping, and presenting birthday or elderly member information. This study aims to develop a web-based church congregation management information system using the Scrum methodology as an iterative and flexible software development approach. The research methodology includes observation, interviews, literature review, and black box testing. The results indicate that the developed system successfully meets user needs, simplifies congregation data management, and enhances the effectiveness of church administrative services. The implementation of Scrum has proven to be effective in accelerating development processes, accommodating changing requirements, and increasing user involvement through continuous evaluation. This system is expected to be replicable in other churches with similar needs as an integrated digital solution for congregation management.
A COMPARISON OF THE NAIVE BAYES AND K-NN ALGORITHMS IN PREDICTING THE FRESHNESS OF MILKFISH AT FISH AUCTIONS Setiyowati, Harlis; Mayatopani, Hendra; Hariyanto, Lilik; Harriz, Muhammad Alfathan
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.4.2277

Abstract

This research aims to compare the performance of two machine learning algorithms, Naive Bayes and K-Nearest Neighbors (K-NN), in predicting the freshness of milkfish (Chanos chanos) at fish auctions. Predicting fish freshness is an important aspect to ensure product quality and customer satisfaction. The Naive Bayes algorithm, which is based on Bayes' Theorem with the assumption of independence between features, as well as the K-NN algorithm, which uses an instance-based approach to classify data based on proximity to k nearest neighbors, were implemented and tested. Evaluation is carried out using accuracy and Kappa metrics. The results show that Naive Bayes achieved an accuracy of 73.44% with a Kappa value of 0.594, indicating good performance in predicting the freshness of milkfish. In contrast, K-NN shows an accuracy of 68.75% and a Kappa value of 0.461, which means its performance is lower compared to Naive Bayes. Further analysis revealed that Naive Bayes is more computationally efficient and faster at making predictions, making it better suited for real-time applications at fish auctions. However, Naive Bayes has limitations in assuming feature independence which may not always be true in real-world situations. On the other hand, K-NN although more flexible and capable of capturing complex patterns in data, tends to be slow and requires optimization of parameters such as k values ​​to improve its performance. In conclusion, Naive Bayes is recommended for predicting the freshness of milkfish at fish auctions because of its higher accuracy and reliability. Further research is needed to optimize these two algorithms through parameter adjustments and the use of ensemble methods to improve overall prediction performance.
SENTIMENT ANALYSIS PUBLIC PERSPECTION FROM ARTEMIS 2 MISSION USING RECURRENT NEURAL NETWORK METHODS Muhammad Agym; Mayatopani, Hendra
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.4.2365

Abstract

This research underlies a deep sentimental analysis of NASA's Artemis 2 project, which aims to bring humans back to the Moon. This mission is an important milestone in NASA's efforts to build a long-term human presence on the Moon. In the context of this large and controversial project, the sentimental analysis carried out using the Recurrent Neural Network method is aimed at understanding the public view. This sentimental analysis provides a better understanding of how the public responds or perceives the Artemis 2 mission. The research questions focused on the methods of repetitive nerve tissue performance in classifying public sentiment towards the Artemis mission. The results of sentimental analysis show a strong positive trend, providing support for the continuity and sustainability of the project. From the data obtained and processed, the majority of respondents expressed a positive view of the Artemis 2 mission. Of the 49 respondents, 77.6% had a positive sentiment, 10.2% were neutral, and 12.2% were negative. The findings describe public support for the mission as a step forward in space exploration and scientific research. Nevertheless, it is important to interpret the results carefully and take into account cultural and political contextual factors. Research advice includes integrating sentimental analysis with active public participation, dealing with ethical and privacy issues, and specific analysis of specific demographic groups. The research is expected to provide in-depth insight into how people respond to space exploration, benefiting the development of sentimental analysis models, public involvement, and an understanding of social and cultural impacts.
Co-Authors Alamsyah, Dedy Arisantoso Arisantoso Asmasudirdja, Amalia Zaini Atmojo, Wahyu Tisno Audrey, Kelly Kirsten Christina Ratih Oktaviani Christopher Christopher Christopher Ezra Manurung Damayanti, Helen Agustin Puspa Dazki, Erick Deasy Olivia Deasy Olivia, Deasy Destriana, Rachmat Dian Adi Prastiyo Edison Siregar, Master Faiz Muqorrir Kaaffah Fandhilah Fandhilah Farel Ivander Daviano Siwy Farrell Ivander Daviano Siwy Gupita Sari, Marchelia Harlis Setiyowati Herdiansah, Arief Heri Kurniawan, Heri Indra Sudarsono Malvin Setiadi Dharmawan March Vircan Karuna Master Edison Mochamad Sanwasih Muhammad Agym Muhammad Bagir Narindro, Laser Nofitri Hariyani Nofitri Heriyani Nunik Yudaningsih Nurdiana Handayani Nurdiana Handayani Nurdiana Handayani Nurdiana Handayani Nuri Aslami Prathama, Dhion Angga Ri Sabti Septarini Rico, Rico Rido Dwi Kurniawan Rini Nuraini Rino Subekti Riskita Paramitha Riyanto, Umbar Rochadiani, Theresia Herlina Rohmat Indra Borman Rohmat Taufiq Santoso, Handri Siregar, Master Edison Sofyan Sofyan Tanuwijaya, Piter V. Lilik Hariyanto Warjiyono Warjiyono Yanuar Eka Ramadhan Yoga D Putra Musli