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This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering Jusikom : Jurnal Sistem Komputer Musirawas Compiler JUSIM (Jurnal Sistem Informasi Musirawas) Jurnal Janitra Informatika dan Sistem Informasi Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Komtekinfo Malcom: Indonesian Journal of Machine Learning and Computer Science Journal of Scientific Research, Education, and Technology Ahsana: Jurnal Penelitian dan Pengabdian kepada Masyarakat Journal of Information System and Education Development Jurnal Ilmu Komputer, Teknologi Dan Informasi
Hidayat, Ahmad Tri
Unknown Affiliation
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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Journal : compiler

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Automated Testing to Evaluate Employee Attendance System Performance Using Gtmetrix Hafizhah, Nurul; Hidayat, Ahmad Tri
Compiler Vol 13, No 2 (2024): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/compiler.v13i2.2685

Abstract

The employee attendance system is an important component in human resource management that functions to efficiently record and monitor employee attendance. With the increasing reliance on information technology, it is essential to ensure optimal performance and a satisfying user experience. It is important for companies to ensure that this system functions well and responsively. This study aims to evaluate the performance of an employee attendance system through automated testing using the website performance analysis tool GTMetrix. By adopting automated testing using GTMetrix on this system to measure and analyze its performance, this research also offers an objective and efficient approach to identifying performance bottlenecks. The results of this research can serve as a reference for information system developers in designing and implementing a more optimal employee attendance system. In addition, the research also provides insights into the importance of optimizing website performance in the context of business applications. The results of the performance and structure testing analysis on this system using GTMetrix achieved an A grade with a performance score of 100% and a structure score of 100%. This research emphasizes the importance of automated testing as a tool to enhance and improve the performance of information systems, thereby meeting user needs and supporting more effective human resource management.
K-Means Clustering on Rice Harvest Data for Planting Season Recommendation in Subak Cepaka, Tabanan Dewi, Ni Made Cahyani; Hidayat, Ahmad Tri
Compiler Vol 14, No 2 (2025): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/compiler.v14i2.3504

Abstract

The Subak farming system in Tabanan Regency, Bali, is vital as a primary rice granary but faces challenges in determining optimal planting patterns. Planting decisions based only on inherited experience often do not match climate conditions, reducing productivity and increasing crop failure risks. This study implements the K-Means Clustering algorithm on five years of historical rice harvest data (2020–2024) to generate accurate planting season recommendations. Monthly data were analyzed and grouped into three categories: rainy, dry, and transitional seasons. The clustering results were integrated into a mobile application that provides farmers with accessible recommendations through an interactive interface and visualization. The effectiveness of the clustering model was evaluated using the Silhouette Score, which indicated good separation and cohesion among clusters, while efficiency was assessed through processing time and algorithm simplicity, confirming that K-Means performed the task with minimal computational cost. This system enables farmers to make data-driven planting decisions, optimize productivity, and support sustainable food security in Bali.
Co-Authors Aditya, Jevon Kristo Alfarizqy, Dimas Anugrah Putra Apriliansyah, Fajri Dewantara, Rizki Dewi, Ni Made Cahyani Drezewski, Rafał Dwi Sancoko, Sulistyo Emanuel, Andi W. R. Fahlevi, Muhammad Rizza Fuady, Aflah Firduas Hafizhah, Nurul Hakim, Faishal Hidayati, Amalia Imron, Afrizal Kusuma, M. Apriandi Lathifah, Lu'lu' Itsnaini Lestari, Silvi Indah Marendra, Alfin Nur Mubarok, Adib Muhammad Taufik Ridho Nurhidayat, Riyan Prana, Fachrun Wira Pratiwi, Cindhi Putra, Wahyu Raihan, Muhammad Saiful Bahri Saiful Bahri Saifullah, Shoffan SUHIRMAN SUHIRMAN Suyoto Suyoto Tri Widodo YULI WIJAYANTI