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Reza Maulana
Contact Email
saya@rezamaulana.com
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+6282330060777
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insypro@uin-alauddin.ac.id
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Jl.H.M.Yasin Limpo No. 36 Samata, Gowa, Sulawesi Selatan Building D, 4th floor
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INDONESIA
Jurnal INSYPRO (Information System and Processing)
Published by Universitas Islam Negeri Alauddin Makassar
ISSN : 2597419X     EISSN : 2579468X     DOI : https://doi.org/10.24252/insypro
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
Jurnal Insypro adalah jurnal yang bergerak di bidang Sistem Informasi, hadir untuk diharapkan mampu mengembangkan riset pada bidang sistem informasi di Indonesia dan dunia internasional secara umum
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 2 Documents
 1 
Search results for , issue "Vol 10 No 2 (2025)" : 2 Documents clear
Penerapan Model Algoritma XGBoost Dalam Penentuan Status Penerima Subsidi Listrik Di PT PLN (PERSERO) N., Muh Firman Syawal; Faisal, Faisal; A. Muhammad Syafar
Jurnal INSYPRO (Information System and Processing) Vol 10 No 2 (2025)
Publisher : Prodi Sistem Informasi UIN Alauddin

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The distribution of electricity subsidies often experiences mis-targeting, where recipients come from capable groups. This study aims to implement the XGBoost (Extreme Gradient Boosting) algorithm to determine the eligibility status of electricity subsidy recipients study case at PT. PLN (Persero) ULP Masamba. The research method used is a computational experimental approach with machine learning-based modeling. The data includes variables such as Electricity Capacity, Rates, Description of Needs, and Matching Dukcapil.. The evaluation results of the model show an accuracy of 84.30%, recall of 85.52%, and AUC-ROC of 91.82%. These findings indicate that XGBoost is effective in classifying electricity subsidy eligibility objectively and fairly.
Pengembangan Sistem Repositori Jurnal Berbasis Web Menggunakan Metode Agile dan Framework Yii: Pengembangan Sistem Repositori Jurnal Berbasis Web Menggunakan Metode Agile dan Framework Yii Rahman; Syamsul, Sulfianti
Jurnal INSYPRO (Information System and Processing) Vol 10 No 2 (2025)
Publisher : Prodi Sistem Informasi UIN Alauddin

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Abstract

This research is motivated by the problems in managing research journal drafts in the academic environment, especially among students and supervisors. Currently, journal data storage and processing are still done manually, so supervisors experience difficulties in tracking students' published scientific works. This is caused by the lack of an integrated system for storing and managing the data. This study aims to develop an application that can simplify the process of storing and processing journal data by building a research journal draft repository information system in the Information Systems Study Program. The type of research used is quantitative research with agile software development methods. Data were collected through literature studies and surveys using questionnaires. The developed system was tested using the System Usability Scale (SUS) method. The result of this study is a web-based information system that makes it easier for students and supervisors to store and manage journal data. Based on the results of testing and questionnaire analysis, the system obtained an average SUS score of 83.3 and is included in the "Acceptable" category in the Acceptability Range. These results indicate that the developed research journal draft repository information system is feasible to use and can be implemented well by users.

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