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All Journal JSI: Jurnal Sistem Informasi (E-Journal) JOISIE (Journal Of Information Systems And Informatics Engineering) Didaktik : Jurnal Ilmiah PGSD STKIP Subang
Fatimah, Aisyah
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Computer Science & IT Decision Sciences, Operations Research & Management Education Library & Information Science Other

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Analisis Perbandingan Query Response Time MariaDB Pada Sistem Operasi Kali Linux dan Ubuntu Fatimah, Aisyah; Afifah, Nurul; Septiani Kusuma Ningrum
JSI: Jurnal Sistem Informasi (E-Journal) Vol 17 No 1 (2025): Vol 17, No 1 (2025)
Publisher : Jurusan Sistem Informasi Fakultas Ilmu Komputer Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18495/jsi.v17i1.230

Abstract

Data is a vital resource for organizations that demand unparalleled access speeds and adequate levels of security. Critical components in the data need to be managed effectively and efficiently to enable timely decision-making. This study proposed a comparative analysis of query execution time using MariaDB Database Management System (DBMS) on Kali Linux and Ubuntu operating systems. Researchers identified response times for select, update, and delete operations on variations in data size. This experiment was carried out three times to ensure the consistency of the results. As a result, Ubuntu exhibits a more stable pattern of increasing response time, although it is slower than Kali Linux. Ubuntu performs better in terms of scalability, especially when handling large datasets. Based on this study, the selection of an operating system for database management not only be based solely on query execution speed, but also consider other important factors, such as the operating system's security level, ease of use, and user preferences.
ANALISIS KOMPARATIF MODEL DATA MINING DALAM PREDIKSI KETEPATAN PENYELESAIAN SERVICE LEVEL AGREEMENT Fatimah, Aisyah; Tania, Ken Ditha; Meiriza, Allsela
JOISIE (Journal Of Information Systems And Informatics Engineering) Vol. 9 No. 1 (2025)
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/joisie.v9i1.4943

Abstract

Kepatuhan terhadap Service Level Agreement (SLA) sangat penting dalam manajemen layanan teknologi informasi untuk menjamin kualitas layanan dan mengatur ekspektasi penyelesaian insiden. Namun, banyak organisasi kesulitan memprediksi apakah tiket insiden akan memenuhi SLA, yang dapat menyebabkan ketidakpuasan pengguna, eskalasi masalah, dan beban kerja tinggi bagi tim IT. Tingginya volume tiket harian membuat identifikasi manual terhadap tiket berisiko tinggi menjadi tidak efektif. Penelitian ini bertujuan mengembangkan model klasifikasi berbasis machine learning untuk memprediksi kepatuhan tiket terhadap SLA. Empat algoritma dievaluasi: XGBoost, Random Forest, Decision Tree, dan Logistic Regression. Tahapan mencakup preprocessing, encoding fitur kategorikal, seleksi fitur berbasis Random Forest, penyeimbangan data menggunakan SMOTE, dan hyperparameter tuning dengan Optuna. Hasil menunjukkan XGBoost memiliki performa terbaik dengan akurasi 99,98%, precision 0,9437, recall 0,9710, dan F1-score 0,9571. Selain akurat dan efisien, model ini unggul secara interpretatif melalui SHAP, yang menjelaskan kontribusi tiap fitur. Kesimpulannya, XGBoost direkomendasikan sebagai model paling andal untuk menjadi alat bantu strategis bagi manajer layanan TI dalam mengidentifikasi insiden yang berisiko tinggi gagal memenuhi SLA.
JENIS DAN KARAKTERISTIK HUKUM PIDANA DI INDONESIA Krismen, Yudi; Fatimah, Aisyah; Oktavia, Intan; Al Rasyid, Franzee
Didaktik : Jurnal Ilmiah PGSD STKIP Subang Vol. 12 No. 02 (2026): Volume 12 No. 2, Juni 2026 Publish
Publisher : STKIP Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36989/didaktik.v12i02.13159

Abstract

Criminal law in Indonesia has undergone significant development in response to the increasing complexity of modern crimes, which can no longer be effectively addressed by the provisions of the Criminal Code (KUHP). This study aims to analyze the types of criminal law in force in Indonesia, identify the characteristics of special criminal law as a response to extraordinary crimes, and examine corporate liability within the framework of special criminal law. The research method employed is normative legal research using a legislative and conceptual approach. The results indicate that Indonesian criminal law is divided into general criminal law and special criminal law, where special criminal law serves as an adaptive criminal policy instrument against transnational crimes such as corruption, narcotics, money laundering, human trafficking, terrorism, and cybercrime. The characteristics of special criminal law are marked by deviations from general criminal procedure law, a reversal of the burden of proof, and the ability to hold corporations liable as perpetrators of criminal acts. This study concludes that special criminal law is not merely a supplement to the Criminal Code (KUHP), but a main pillar of contemporary Indonesian criminal law policy.
Co-Authors Al Rasyid, Franzee Allsela Meiriza, Allsela Ken Ditha Tania Muhammad Afif Oktavia, Intan Septiani Kusuma Ningrum Yudi Krismen