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All Journal Jupiter Buletin Al-Turas JSI: Jurnal Sistem Informasi (E-Journal) Khizanah al-Hikmah : Jurnal Ilmu Perpustakaan, Informasi, dan Kearsipan Jurnal Online Mahasiswa (JOM) Bidang Ilmu Sosial dan Ilmu Politik Pustakaloka: Jurnal Kajian Informasi dan Perpustakaan Record and Library Journal Lentera Pustaka Jurnal Kajian Informasi & Perpustakaan Pedagogia: Jurnal Pendidikan Bakaba: Jurnal Sejarah Kebudayaan dan Kependidikan Sumatra Journal of Disaster, Geography and Geography Education Pendas : Jurnah Ilmiah Pendidikan Dasar Georafflesia : Artikel Ilmiah Pendidikan Geografi JMM (Jurnal Masyarakat Mandiri) Jurnal Geografi JURNAL TEKNOLOGI DAN OPEN SOURCE JURNAL PENDIDIKAN TAMBUSAI Unes Law Review Turast: Jurnal Penelitian dan Pengabdian Abdi: Jurnal Pengabdian dan Pemberdayaan Masyarakat Shaut Al-Maktabah: Jurnal Perpustakaan, Arsip dan Dokumentasi PAKAR Pendidikan Jurnal Teknologi Informatika dan Komputer Teaching and Learning Journal of Mandalika (Teacher) JPI (Jurnal Pendidikan Inklusi) International Research on Big-data and Computer Technology (IRobot) Jurnal Jeumpa Daluang: Journal of Library and Information Science Literatify : Trends in Library Development Journal of Research in Social Science and Humanities Jurnal Penelitian Inovatif Indo-MathEdu Intellectuals Journal Journal Computer Science and Informatic Systems : J-Cosys Mimbar Agama Budaya Journal Of Human And Education (JAHE) Jurnal Ilmu Komputer ALSYS : Jurnal Keislaman dan Ilmu Pendidikan Tadwin: Jurnal Ilmu Perpustakaan dan Informasi Jurnal Masyarakat Madani Indonesia Al-Ma'arif: Ilmu Perpustakaan dan Informasi Islam Journal in Teaching and Education Area Jurnal Perjuangan dan Pengabdian Masyarkat: JPPM Jurnal Pengabdian Pada Masyarakat IPTEKS
Lailatur Rahmi
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Physics Public Health Social Sciences Other

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Decision Support System For Submitting and Evaluating Web-Based Scholarships Using The Topsis Method at SMP Kusuma Raya Afdhaluddin, Muhamad; Rahmi, Lailatur; Amalia, Tasya
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 1 (2025): Jurnal Teknologi dan Open Source, June 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i1.4452

Abstract

This research aims to develop a web-based decision support system for the scholarship application and assessment process. The system is designed to improve efficiency, transparency, and objectivity of selection. The TOPSIS method is used to evaluate potential recipients based on a number of relevant criteria. The system was developed using PHP, MySQL, Visual Studio Code, and XAMPP as the development platform. System testing shows that this application is able to provide accurate scholarship recipient recommendations, so that it can help decision makers in determining recipients more fairly and systematically. With this approach, it is expected that the scholarship selection process will become more structured and reduce the potential for subjectivity in assessment. The results of this research contribute to the application of information technology in supporting a better selection system in the academic environment and scholarship granting institutions.
Development of a Machine Learning-Based Predictive Model for Forecasting Spare Part Requirements at the Warehouse of PT. Setia Karya Transport (Great Giant Foods) Way Lunik Afdhaluddin, Muhamad; Rahmi, Lailatur; Agresty, Elsa Dwi
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 2 (2025): Jurnal Teknologi dan Open Source, December 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i2.5025

Abstract

Efficient spare part management plays a crucial role in supporting operational continuity at PT. Setia Karya Transport (Great Giant Foods). The current spare part forecasting process is still reactive and relies on periodic evaluations, resulting in potential inefficiencies in procurement planning. This study aims to develop a machine learning-based predictive model to forecast spare part requirements using historical transaction data from January to July 2025. The research applied three modeling scenarios: (1) a hybrid model combining Support Vector Regression (SVR), Random Forest, and Statistical methods; (2) pure statistical methods with zero-ratio classification; and (3) the XGBoost algorithm with zero-ratio classification. Model performance was evaluated using Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE) metrics. The results showed that the hybrid approach achieved the best performance with an MAE of 2.919 and an RMSE of 8.056, indicating higher prediction accuracy compared to other models. The findings demonstrate that integrating machine learning with statistical approaches can effectively enhance forecasting accuracy and support data-driven decision-making in warehouse management. Keywords : Machine Learning, Forecasting, Spare Part, Random Forest, Support Vector Regression
Co-Authors Afdhaluddin, Muhamad Afdhaluddin, Muhammad Afdini Rihlatul Mahmudah, Afdini Rihlatul Afwina, Tiara Lingga Agresty, Elsa Dwi Ahmad Ridwan Aisyah , Yopi Alfi, Math Amalia, Tasya Andri Sulistyani Angraina, Dilla Anuar Rasyid Aprizon Putra Ardelia, Selly Arwendria Arwendria, Arwendria Astutik Nur Qomariyah, Astutik Nur Audina, Reza Azhari Syarief Bayu Wijayanto Bayu Wijayanto Bifakhlina, Febriyanti Bigharta Bekti Susetyo Daulay, Rosniar Deded Chandra Devani, Ferizka Tiara Dian Adhetya Arif dion, nofrion Doni, Sefri Ebtaria Nadeak, Ebtaria Egga Asoka Endang Lestari Ruskan Fadhila Nurul Husna Zalmi Fadzil, Ghazali Mohamed FAJRINA, SUCI Fakhlina, Resty Jayanti Falah, Nur Fauzan, Muhammad Reza Fitri Ramadhani Fitri, Mega Orina Fitriah, Rahmuliani Fitriah, Rahmulyani Ghani, Sarul Abdul Haerotunisa, Haerotunisa Hamdani, Selvia Yunita Hasfera, Dian Hasibuan, Suci Annisa Helendra Helendra Helfia Edial Helsa Rahmatika Hendry Frananda, Hendry Husna Zalmi, Fadhila Nurul Hutagalung, Mawaddah Warahma Ilhan Erdeannda Indira Irawati, Indira Irawati, Indiria Irna, Irna Jamal, Johari Jannah, Zah Jatul Juniati Putri , Elgia Karmelia Yuanda Ken Ditha Tania Khairat, Nurul Khairatih, Rizka Khairunnisa, Syakira Komariah Komariah Kunio, Nurul Ilma Hasana Linawati, Dwi Lolytasari M. Fadli Malinda, Tia Mardiana Mardiana Mardiansyah, Ramos Marya, Sri Miftahul Khairi Friona Milawati, Dede Muyasaroh, Mumuy Nelmawarni, Nelmawarni Nova, Sari Nur Hikma Aulya Nur, Maulida Nurhasanah Nurlaely, Eli Nurul Husna Zalmi, Fadhila Pratama, Rizky Nur Prayoga, Rendi Putri Andini Putri Bunda, Mega Putri, Sri Kandi Rahman, M Arief Rahmawati, Rahmawati Rahmayuni, Suci Rahmi, Fitri Olvia Ramadhan, Risky Ratna Wilis Rery Novio Rezkia, Yusraini Rosniar Daulay Rusdyanto, Farid Ruslani, Silfia Safitri, Pipit Safitri, Riski Salfianti, Rany Salma, Fitra Salsabila Ilza, Rizka Sandora, Lisna Saniati, Saniati Santimah, Santimah Saputra, Agil Saputra, Zakaria Sari, Diah Novita Sari, Riska Amelia Sari, Shinta Nofita Sari, Yulia Permata Satria, Andra Tri Siagian, Abdhy Walid Siregar, Muhammad Ardiansyah Siti Rofikoh, Siti Sri Mariya Sulistiyanto Sulistiyanto, Sulistiyanto Supani, Ahyar Susanti, Intan Susetyo, Tamara A Syafri Anwar Tamara A Susetyo Salim, Tamara A Susetyo Tridola, Regita Trinova, Regita Triwulandari, Septi Ulinnuha, Ulinnuha Utari, Marti Wati, Ade Sukma Widya Prarikeslan Yosi Laila Rahmi Yudi Antomi Yudisman, Septevan Nanda Yulia Hapsari Yunita, Rahmi Yurni Suasti Zahra, Sabrina Latifa Zalmi, Fadhila Nurul Husna