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Penerapan Metode Naïve Bayes Untuk Penentuan Kelayakan Pembuatan Sertifikat Tanah Berbasis Web Fuad, M Noor; Asia, Siti Nur
Jurnal Teknik AMATA Vol. 5 No. 1 (2024)
Publisher : Politeknik Amamapare

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55334/jtam.v5i1.223

Abstract

Kantor Pertanahan Kota Makassar sering menghadapi kendala dan keluhan dari masyarakat terkait pelayanan pendaftaran sertifikat tanah. Untuk mengatasi masalah ini, penelitian ini bertujuan merancang Sistem Pendukung Keputusan (SPK) untuk menentukan kelayakan permohonan sertifikat tanah di Kantor Pertanahan Kota Makassar menggunakan metode Naïve Bayes. Metode ini dipilih karena kesederhanaan dan efisiensinya dengan asumsi independensi antar fitur. Penelitian ini menggunakan desain UML dan bahasa pemrograman PHP. Hasilnya menunjukkan bahwa SPK yang diujicobakan dengan 50 data training dan 10 data testing mampu memberikan keputusan dengan akurasi tinggi, dimana atribut "approval" (disetujui) mencapai nilai 95% Sistem ini efektif untuk membantu pengambilan keputusan berdasarkan kelengkapan berkas permohonan sertifikat tanah
Optimalisasi Penentuan Bonus Karyawan dengan Sistem Pendukung Keputusan Metode TOPSIS di PT. Elizabeth Hanjaya Asia, Siti Nur; Fuad, M Noor; Saleh, Husna; As'ad, Muhammad; Irfan, Irfan
Journal Scientific of Mandalika (JSM) e-ISSN 2745-5955 | p-ISSN 2809-0543 Vol. 6 No. 4 (2025)
Publisher : Institut Penelitian dan Pengembangan Mandalika Indonesia (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/10.36312/vol6iss4pp996-1009

Abstract

PT. Elizabeth Hanjaya is a retail company that provides various fashion products, PT. Elizabeth Hanjaya is a retail company that offers a variety of fashion products such as bags, shoes, accessories, and fashion supplies for men and women. This study uses the Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) method to build a decision support system in determining employee bonus recipients in this company. The purpose of the study is to design a system that can assess the feasibility of receiving employee bonuses based on the TOPSIS method. This method works by choosing an alternative that has the closest distance from the positive ideal solution and the furthest from the negative ideal solution based on geometric principles. The system is designed using Unified Modeling Language (UML) and developed with the PHP programming language. The results of the study show that the assessment system is able to produce accurate decisions. Based on testing with four alternatives, the TOPSIS method determines alternative 1 as the employee who is most eligible to receive a bonus with a final value of 0.675360. In addition, user evaluation results showed a high level of satisfaction, with 92% of respondents giving a "strongly agree" rating.