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All Journal Sistemasi: Jurnal Sistem Informasi Simtek : Jurnal Sistem Informasi dan Teknik Komputer
Badarudin, Ade Syifa
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Computer Science & IT Electrical & Electronics Engineering Engineering

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Rainfall Prediction based on Historical Weather Data using Naive Bayes Classification Model in Southeast Sulawesi Samudin, Ayustina; Saputra, Rizal Adi; Agsaria, Fabelina; Judanto, Nurendro Hardjo; Badarudin, Ade Syifa
Sistemasi: Jurnal Sistem Informasi Vol 14, No 5 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i5.3882

Abstract

Southeast Sulawesi is one of the provinces in Indonesia characterized by diverse topography and climate, making it challenging to accurately identify and predict rainfall patterns. The aim of this study is to enhance our understanding of weather behavior in Southeast Sulawesi and provide a foundation for developing more advanced and region-specific weather prediction methods. The data used in this research consists of historical weather records obtained from the official BMKG (Meteorology, Climatology, and Geophysics Agency) website, containing features that significantly contribute to rainfall prediction. The method employed in this study is the Naive Bayes classification model, which involves several stages including data collection, pre-processing, and preparation for the modeling phase, ultimately generating rainfall prediction outputs. The results of the study yielded a rainfall prediction accuracy of 74.66%. For the rainfall class (0.0), the model achieved a precision of 82%, recall of 66%, and F1-score of 73%. Meanwhile, for the rainfall class (1.0), the model achieved a precision of 69%, recall of 84%, and F1-score of 76%. Despite some prediction errors, these findings indicate that the Naive Bayes method can serve as a solid foundation for the development of more sophisticated and tailored weather prediction models for the Southeast Sulawesi region.
PENGEMBANGAN APLIKASI ABSENSI BERBASIS WEBSITE MENGGUNAKAN METODE WATERFALL Trihapsari, Argitha; Badarudin, Ade Syifa; Billah, Khaerunni Salsa
Simtek : jurnal sistem informasi dan teknik komputer Vol. 10 No. 2 (2025): Oktober 2025
Publisher : STMIK Catur Sakti Kendari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51876/simtek.v10i2.1657

Abstract

Perkembangan teknologi informasi menuntut adanya sistem yang efisien, akurat, dan terintegrasi, termasuk dalam pencatatan kehadiran personel. Sistem absensi manual yang masih digunakan kerap menimbulkan berbagai permasalahan, seperti kesalahan pencatatan, keterlambatan dalam pelaporan, serta rendahnya transparansi data. Kondisi tersebut berdampak pada menurunnya efektivitas kerja serta akurasi informasi yang dibutuhkan dalam proses pengambilan keputusan manajerial. Untuk mengatasi hal tersebut, penelitian ini bertujuan mengembangkan aplikasi absensi berbasis web dengan menerapkan metode Waterfall. Metode ini dipilih karena menyediakan alur kerja sistematis melalui tahapan analisis kebutuhan, perancangan sistem, implementasi, pengujian, dan pemeliharaan. Aplikasi yang dirancang memiliki fitur utama berupa autentikasi pengguna sesuai hak akses, pencatatan kehadiran secara real-time yang terhubung dengan server waktu, serta penyajian laporan kehadiran otomatis yang dapat diekspor oleh administrator. Hasil pengujian membuktikan aplikasi berjalan stabil, fungsional, dan sesuai kebutuhan pengguna. Sistem yang dihasilkan terbukti mampu meningkatkan akurasi pencatatan, mempercepat pelaporan, mempermudah monitoring, serta mendukung pengambilan keputusan berbasis data. Dengan demikian, penerapan aplikasi absensi digital ini dapat meningkatkan efisiensi kerja sekaligus kualitas layanan administrasi kepegawaian.
Co-Authors Agsaria, Fabelina Billah, Khaerunni Salsa Judanto, Nurendro Hardjo Rizal Adi Saputra Samudin, Ayustina Trihapsari, Argitha