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All Journal OKTAL : Jurnal Ilmu Komputer dan Sains Hikamatzu Journal of Multidisciplinary Research
Rangga Irgi Saputra
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Religion Humanities Astronomy Chemistry Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences

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Literatur Review: Klasifikasi Penyakit Menular Seksual (PMS) Menggunakan Naïve Bayes dan Metode Machine Learning Terkait Raharja Adhi Putrayana; Rizki Ramadhan; Rangga Irgi Saputra; Rahmat Abdul Sahid
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 3 No 09 (2024): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

Sexually transmitted diseases (STD) are a significant health problem worldwide. Correct identification and classification of this disease is essential to support early diagnosis and effective treatment. Various machine learning methods, including Naïve Bayes, have been used to automatically classify these diseases. This article reviews existing literature regarding the use of the Naïve Bayes method and other machine learning techniques in PMS classification. Based on analysis of at least five research journals, Naïve Bayes shows good performance in disease classification, although the results still depend on data quality. Several other methods such as Decision Tree, Support Vector Machine (SVM), and K-Nearest Neighbor (KNN) are also often used as comparisons in this research. This review provides insight into the strengths and weaknesses of each method in PMS classification as well as the potential for their integration to increase the accuracy and speed of diagnosis.
Perancangan Sistem Raport Digital Berbasis Web Pada SDIT Al-Fath Parung Panjang Naofal Syamil Azaky; Rangga Irgi Saputra; Rizki Ramadhan; Wasis Haryono
Hikamatzu | Journal of Multidisciplinary Vol. 2 No. 2 (2025): Multidisciplinary Approach
Publisher : Hikamatzu | Journal of Multidisciplinary

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Abstract

Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem raport digital berbasis web sebagai solusi atas permasalahan proses pengolahan nilai yang masih dilakukan secara manual di SDIT Al-Fath Parung Panjang. Sistem ini dikembangkan menggunakan metode Waterfall yang mencakup tahapan analisis, desain, implementasi, pengujian, dan pemeliharaan. Dengan menggunakan bahasa pemrograman PHP dan database MySQL, sistem ini dirancang untuk memudahkan guru dalam memasukkan nilai, menyimpan data secara terpusat, dan memungkinkan akses yang cepat dan transparan bagi pihak sekolah serta orang tua siswa. Hasil implementasi menunjukkan bahwa sistem yang dikembangkan mampu meningkatkan efisiensi, akurasi, dan keamanan data nilai siswa. Sistem ini juga mendukung digitalisasi administrasi pendidikan dasar, serta dapat menjadi acuan pengembangan serupa di sekolah lain.
Co-Authors Haryono, Wasis Naofal Syamil Azaky Raharja Adhi Putrayana Rahmat Abdul Sahid Rizki Ramadhan