cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Hidra Amnur
Contact Email
hidra@pnp.ac.id
Phone
+6282386434344
Journal Mail Official
admjitsi@gmail.com
Editorial Address
Kampus Politeknik Negeri Padang, Jurusan Teknologi Informasi. Gedung E. Limau Manis, Pauh. Padang - Sumatera Barat. Indonesia
Location
Kota padang,
Sumatera barat
INDONESIA
JITSI : Jurnal Ilmiah Teknologi Sistem Informasi
Published by Society of Visual Informatics
ISSN : 27224619     EISSN : 27224600     DOI : 10.30630/jitsi
Core Subject : Science,
Computer Science & IT
The journal scopes include (but not limited to) the followings: Computer Science : Artificial Intelligence, Data Mining, Database, Data Warehouse, Big Data, Machine Learning, Operating System, Algorithm Computer Engineering : Computer Architecture, Computer Network, Computer Security, Embedded system, Coud Computing, Internet of Thing, Robotics, Computer Hardware Information Technology : Information System, Internet & Mobile Computing, Geographical Information System Visualization : Virtual Reality, Augmented Reality, Multimedia, Computer Vision, Computer Graphics, Pattern & Speech Recognition, image processing Social Informatics: ICT interaction with society, ICT application in social science, ICT as a social research tool, ICT education
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 162 Documents
 13   14   15   16   17 
Pemilihan Peserta Terbaik pada Sistem Manajemen Bimbingan Belajar Uji Kompetensi dengan Metode Weighted Product dan Simple Additive Weighting Alamsyah, Firman Shiddiq; Satria, Deni; Yulherniwati
JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Vol 7 No 1 (2026)
Publisher : SOTVI - Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/jitsi.7.1.555

Abstract

The Competency Test Learning Guidance is a platform for students or nurses who wish to enter the workforce. The learning guidance organized by Appskep Indonesia is held annually in several periods. One of the efforts to improve the quality of the participants is by evaluating them and selecting the best participants for each class period in Appskep Indonesia. The selection of the best participants in the Competency Test Learning Guidance at Appskep Indonesia currently lacks a system capable of conducting effective and efficient evaluations. The criteria for selecting the best participants in the Competency Test Learning Guidance at Appskep include the average exam scores from the Competency Test tryouts taken by the participants, access to materials available to all registered participants, attendance at the start and end of the classes, and each participant's level of activeness. The decision support system for selecting the best participants for this research uses the Weighted Product (WP) and Simple Additive Weighting (SAW) methods, implemented in a website. SAW is a method that involves finding the weighted sum of performance ratings for each alternative across all attributes. In contrast, WP uses multiplication to relate attribute ratings, where each attribute is first raised to the power of its respective weight. The research was conducted to test three class periods starting from July 2023 to March 2024. The study compared the results of the methods in Excel and on the website, achieving 100% accuracy. This research compares the SAW and WP methods for the intensive batch 158, intensive batch 157, and intensive batch 156 class periods. The results for the intensive batch 158 showed that the best participant was Aditya Rizal with WP and SAW scores of 0.01207 and 1.01, respectively. For the intensive batch 157, the best participant was Sarri Qurrotul with WP and SAW scores of 0.01099 and 0.95, respectively. For the intensive batch 156, the best participant was Ari Lani with WP and SAW scores of 0.01707 and 1.01, respectively
Sistem Pakar Diagnosa Kerusakan Smartphone Menggunakan Metode Certainty Factor Pratama, Ilham Agus; Erianda, Aldo; Syawaldipa, Ardi
JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Vol 7 No 1 (2026)
Publisher : SOTVI - Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/jitsi.7.1.556

Abstract

Smartphones are multifunctional telecommunication devices that have become an essential part of everyday life. However, with the increasing use of smartphones, damage to these devices often occurs and is difficult for lay users to detect. To assist Pagaruyung Ponsel employees or cashiers in diagnosing smartphone damage without needing to rely on expert technicians, this study developed a computer-based expert system. This system combines the Forward Chaining and Certainty Factor (CF) methods to accurately detect smartphone damage. By utilizing expert knowledge, this system provides appropriate solutions based on detected symptoms. The system's accuracy test results showed a value of 85%, which proves the system's effectiveness in providing accurate diagnoses. It is hoped that this system can facilitate independent smartphone diagnosis and repair anytime and anywhere, through a website-based platform. The implementation of this expert system with the Forward Chaining and Certainty Factor (CF) methods is expected to increase the speed and efficiency in handling smartphone damage problems

Page 17 of 17 | Total Record : 162

 13   14   15   16   17 

Filter by Year

2020 2026


Reset
Filter By Issues
All Issue Vol 7 No 1 (2026) Vol 6 No 4 (2025) Vol 6 No 2 (2025) Vol 6 No 1 (2025) Vol 5 No 4 (2024) Vol 5 No 3 (2024) Vol 5 No 2 (2024) Vol 5 No 1 (2024) Vol 4 No 4 (2023) Vol 4 No 3 (2023) Vol 4 No 2 (2023) Vol 4 No 1 (2023) Vol 3 No 4 (2022) Vol 3 No 3 (2022) Vol 3 No 2 (2022) Vol 3 No 1 (2022) Vol 2 No 4 (2021) Vol 2 No 3 (2021) Vol 2 No 2 (2021) Vol 2 No 1 (2021) Vol 1 No 4 (2020) Vol 1 No 3 (2020) Vol 1 No 2 (2020) Vol 1 No 1 (2020) More Issue