Article Per Year (5 Year)
p-Index From 2021 - 2026
2.663
P-Index
This Author published in this journals
All Journal E-Bisnis : Jurnal Ilmiah Ekonomi dan Bisnis Jurnal Ekonomi, Manajemen, dan Akuntansi Universitas Ngudi Waluyo ProBisnis : Jurnal Manajemen Jurnal Algoritma The International Conference on Education, Social Sciences and Technology (ICESST) Indonesian Journal of Midwifery (IJM) "JAMASTIKA" Jurnal Mahasiswa Teknik Informatika AMMA : Jurnal Pengabdian Masyarakat International Journal of Economics and Management Sciences Jurnal Informatika dan Kesehatan INOVTEK Polbeng - Seri Informatika Management Dynamics: International Journal of Management and Digital Sciences
Kustiyono
Universitas Ngudi Waluyo
Humanities Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Medicine & Pharmacology Nursing Public Health Social Sciences

Published : 17 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : Jurnal Algoritma

 1 
Pengembangan Sistem Informasi Persediaan Barang Menggunakan Model Waterfall untuk Meningkatkan Efisiensi Pengelolaan Stok Fathoni, Muhammad; kustiyono
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2533

Abstract

This study addresses stock-management challenges at Toko Sinar Mulia, where inventory processes are still performed manually and are prone to errors, by designing a web-based inventory system using the Laravel framework. Adopting the Waterfall model within the Software Development Life Cycle (SDLC), the information system aims to improve the efficiency and accuracy of stock recording and management. The main contribution of this research is providing a structured solution for digitizing inventory management, which previously lacked automation, thereby supporting more effective decision-making and store operations.
Prediksi Kepadatan Sampah Menggunakan Metode Regresi Linear Berbasis Web gulo, titusman; Kustiyono
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2550

Abstract

The issue of household waste is a crucial issue that has a direct impact on environmental cleanliness and public health. This study aims to develop a web-based household waste density prediction system using the Laravel framework, employing linear regression to model the relationship between time and waste volume. The research data was obtained through a survey of a number of families who recorded their weekly waste volume in kilograms. This system is designed to provide estimates of waste volume for the following week based on historical data patterns, thereby helping the community and environmental managers at the neighborhood association (RT/RW) level to plan waste collection and transportation more efficiently. The linear regression method was chosen because it is simple yet effective in describing trends in waste volume changes over time. The implementation results show that the system is capable of producing predictions that are close to actual conditions, equipped with informative graphics and a user-friendly interface. With this system, household waste management can be carried out in a more planned, efficient, and data-driven manner.
Sistem Prediksi Kemacetan di Jalan Desa Menggunakan Metode Rule-Based System Ghufronul A, M Mufti; Kustiyono
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2555

Abstract

Traffic congestion does not only occur in urban areas, but is also beginning to be felt in rural areas, especially on main roads connecting villages. This condition can hamper community mobility and inter-regional logistics distribution. To overcome this problem, this study specifically designed and implemented a congestion prediction system on village roads by utilizing historical traffic data, weather conditions, and community activities as the main parameters. The classification method used is the Rule-Based System algorithm. The results of this system can be used by village governments or local transportation managers to take preventive measures, such as adjusting logistics distribution schedules or deploying traffic officers. The system was tested in a village in Central Java, with a prediction accuracy of 87%. These results demonstrate the system's potential in assisting traffic management in villages.
Co-Authors Abdul Aziz Abeda Muhammad Iqbal Ade Pratama Agung Wibowo Alfiano Aldo Pamungkas Asrini Mahdia Aulia, Izza Ghufronul A, M Mufti gulo, titusman Hendri Saputra Hendrike Priventa Hevi Alvina Muhammad Fathoni, Muhammad Muliadi, Dedi Najib Sadam Rinto Sigit Ambar Widyawati Sigit Kharisma Silvi Meilani Sofiyanti, Ida Umi Handayani Wahyu Riani , Rosalina Wira Wati , Adilla Yoga Zaen Vebrian