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All Journal Information Technology Education Journal Journal of Embedded Systems, Security and Intelligent Systems Journal of Computers, Informatics, and Vocational Education
Karmila
Universitas Negeri Makassar
Computer Science & IT Education Engineering Social Sciences Other

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Pengembangan Sistem Informasi Inventaris Unit Kegiatan Mahasiswa Search and Rescue Berbasis Website Karmila; Haripuddin; Jumadi M. Parenreng
Journal of Computers, Informatics, and Vocational Education Volume 1 Issue 3, November (2024)
Publisher : Jurusan Teknik Informatika dan Komputer

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Abstract

Penelitian ini adalah rancang bangun yang bertujuan untuk menghasilkan rancangan sistem informasi inventaris berbasis website di Unit Kegiatan Mahasiswa Search and Rescue. Penelitian ini menggunakan metode rancang bangun dengan model pengembangan prototype. Berdasarkan hasil penelitian dihasilkan sebuah sistem yang dapat digunakan untuk mempermudah pencatatan, pengelolaan barang inventaris dan peminjaman barang inventaris di Unit Kegiatan Mahasiswa Search and Rescue. Berdasarkan hasil pengujian menggunakan standar ISO 25010, sistem ini telah memenuhi standar dimana: a) Pengujian aspek functional suitability bernilai 1 yang berarti semua fungsi dari sistem berjalan dengan baik; b) pengujian aspek performance efficiency berada pada kategori sangat baik; c) pengujian aspek usability dengan jumlah responden 30 orang dari anggota yang aktif diperoleh rata-rata presentase kelayakan 89% dengan kategori sangat baik; d) hasil pengujian aspek portability tidak ditemukan kesalahan atau error pada sistem; e) pengujian aspek reliability dilakukan menggunakan aplikasi WAPT dengan keberhasilannya sebesar 100%; f) pengujian aspek maintainability dilakukan menggunakan PhpMetrics yang diperoleh nilai 85,81 dengan level Moderate yang dapat diinterpretasikan normal untuk dirawat; g) pengujian aspek compatibility yang dilakukan menggunakan tools sortsite keberhasilannya tanpa ada masalah fungsi pada browser; h) pengujian aspek security yang diperoleh berada pada level 2 atau medium.
The Effect of Peer Instruction with Concept Tests on Model Evaluation Topics (Confusion Matrix, ROC-AUC) in Reducing Student Misconceptions: A Quasi-Experimental Study Hilda Suci Ramadhani; Angel Casey Ampulembang; Eva Ulfiani; Fina Maulina; Era Fasira; Karmila
Information Technology Education Journal Vol. 3, No. 2, Mei (2024)
Publisher : Jurusan Teknik Informatika dan Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/intec.v3i2.2403

Abstract

This study aims to examine the effect of Peer Instruction combined with Concept Tests on reducing students’ misconceptions in model evaluation topics, specifically Confusion Matrix and ROC-AUC. Students frequently misinterpret evaluation metrics, particularly in imbalanced datasets, leading to flawed analytical reasoning. This study argues that structured peer discussion and targeted conceptual questioning significantly reduce such misconceptions compared to conventional lecture-based instruction. Design/methods/approach – A quasi-experimental non-equivalent control group pretest–posttest design was employed involving 68 undergraduate students (35 experimental, 33 control) enrolled in a Machine Learning course. A validated two-tier diagnostic test consisting of 20 items was used to measure misconceptions. The experimental group received Peer Instruction with 15 Concept Tests across three sessions, while the control group received conventional lectures. Data were analyzed using paired and independent samples t-tests and normalized gain (α = 0.05). Findings – The experimental group’s misconception level decreased from 58.43% to 21.57%, while the control group decreased from 56.88% to 39.64%. The normalized gain was significantly higher in the experimental group (g = 0.74) compared to the control group (g = 0.38), t(66) = 11.62, p < 0.001, with a large effect size (d = 1.82). Research implications/limitations – The study was limited to one institution and short-term intervention, which may restrict generalizability and long-term retention conclusions. Originality/value – This study provides empirical evidence supporting the effectiveness of Peer Instruction in machine learning education and introduces a diagnostic framework for measuring misconception reduction in Confusion Matrix and ROC-AUC topics.
Design and Build an Embedded System-Based Computer Damage Diagnosis Expert System for School Laboratories Aqsha Anugrah Abu Putra; Ismira Amusaputri; Karmila; Marwan Kamaruddin; Mubtadin Ali Mulia; Feija Heirani
Journal of Embedded Systems, Security and Intelligent Systems Vol 6, No 2 (2025): June 2025
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/xr60c564

Abstract

Computer laboratories are an important facility in supporting the technology-based learning process in schools, but they often face the problem of hardware and software malfunctions that can hinder academic activities. The limited number of technicians in the school environment causes the damage diagnosis process to often be slow and less systematic. This research aims to design and build an embedded system-based computer damage diagnosis expert system that can be used as a troubleshooting tool in school laboratories. The method used is a system engineering approach (Research and Development) with the stages of needs analysis, design, implementation, and testing. The expert system's inference mechanism uses the rule-based Forward Chaining method implemented on the ESP32 microcontroller platform. The test results of 30 crashes showed a system accuracy rate of 86.67% with an average response time of less than 2 seconds. The system is able to provide early diagnosis and solution recommendations quickly and consistently. Thus, the system developed is effective as a decision support tool in the process of identifying computer damage and contributes to improving the efficiency of school laboratory management.
Co-Authors Angel Casey Ampulembang Aqsha Anugrah Abu Putra Era Fasira Eva Ulfiani Feija Heirani Fina Maulina Haripuddin Hilda Suci Ramadhani Ismira Amusaputri Jumadi Mabe Parenreng Marwan Kamaruddin Mubtadin Ali Mulia