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All Journal Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer
Yudihartanti, Yulia
STMIK Banjarbaru
Computer Science & IT Control & Systems Engineering

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Implementasi Naive Bayes Dalam Penilaian Kelayakan Bantuan Listrik Gratis Taufiq, Taufiq; Yudihartanti, Yulia; Badali, Muhammad
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 13, No 3: Desember 2024
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v13i3.2495

Abstract

The free electricity installation program initiated by the ESDM Office of South Kalimantan Province requires accurate eligibility criteria so that assistance is right on target. One of the main challenges is the lack of a method that considers the weight of interests in determining recipients. This study applies the Naive Bayes method, a probability-based statistical technique, to predict the eligibility of aid recipients. The recipient data was divided 60:40 for model training and testing. The evaluation results using a confusion matrix showed an accuracy of 93.94%, higher than the weighting-based method which only reached 86.59%. These findings prove that Naive Bayes is effective in increasing the accuracy and reliability of aid acceptance decision making. Thus, this method is worth considering in similar programs to ensure efficiency and targeting accuracy, as well as providing a stronger foundation for the implementation of future social assistance programs.Keywords: Naive Bayes; Free Electricity; Probability AbstrakProgram pemasangan listrik gratis yang diinisiasi Dinas ESDM Provinsi Kalimantan Selatan membutuhkan kriteria kelayakan yang akurat agar bantuan tepat sasaran. Salah satu tantangan utama adalah kurangnya metode yang mempertimbangkan bobot kepentingan dalam menentukan penerima. Penelitian ini menerapkan metode Naive Bayes, sebuah teknik statistik berbasis probabilitas, untuk memprediksi kelayakan penerima bantuan. Data penerima bantuan dibagi 60:40 untuk pelatihan dan pengujian model. Hasil evaluasi menggunakan confusion matrix menunjukkan akurasi 93,94%, lebih tinggi dibandingkan metode berbasis pembobotan yang hanya mencapai 86,59%. Temuan ini membuktikan bahwa Naive Bayes efektif meningkatkan akurasi dan keandalan dalam pengambilan keputusan penerimaan bantuan. Dengan demikian, metode ini layak dipertimbangkan dalam program serupa untuk memastikan efisiensi dan ketepatan sasaran, serta memberikan dasar yang lebih kuat bagi pelaksanaan program bantuan sosial di masa depan. 
Model Penilaian Kinerja Tenaga Kontrak Dinas Perdagangan Perindustrian Koperasi dan UKM Berbasis Algoritma Weighted Product Yudihartanti, Yulia; Adriel, Adriel; Taufiq, Taufiq; Kirana, Eka Chandra
Progresif: Jurnal Ilmiah Komputer Vol 21, No 2: Agustus 2025
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v21i2.2746

Abstract

The performance assessment of contract workers at DPPKUKM Kapuas Regency is important to improve agency performance. However, the problem is that the contract extension process only relies on competency tests from the Kapuas Regency government. DPPKUKM has not used a computer system for performance assessment, and in some cases, contract workers get the same competency test results. The impact is that DPPKUKM has difficulty in assessing and selecting contract workers who should get contract extensions. This study proposes a Decision Support System (DSS) to help DPPKUKM assess the performance of contract workers. In this study, the DPPKUKM uses the Weighted Product (WP) method to assess the performance of DPPKUKM contract workers with the criteria assessed being Work Discipline, Compliance with Rules, and Ability to Work. The results of the performance test show that after using the system, there is no data on the same contract worker performance values. The assessment system has proven to be able to better differentiate the performance and contribution of each contract worker.Keywords: Performance Assessment; Contract Renewal; Contract Workers; Weighted Product  AbstrakPenilaian kinerja tenaga kontrak di DPPKUKM Kabupaten Kapuas penting untuk meningkatkan kinerja instansi. Namun, masalahnya adalah proses perpanjangan kontrak hanya mengandalkan uji kompetensi dari pemerintah Kabupaten Kapuas. DPPKUKM belum menggunakan sistem komputer untuk penilaian kinerja, dan dalam beberapa kasus, tenaga kontrak mendapatkan hasil uji kompetensi yang sama  Dampaknya adalah DPPKUKM kesulitan dalam menilai dan memilih tenaga kontrak yang seharusnya mendapatkan perpanjangan kontrak. Penelitian ini mengusulkan Sistem Penunjang Keputusan (SPK) untuk membantu DPPKUKM menilai kinerja tenaga kontrak. Dalam penelitian ini, SPK untuk menilai kinerja tenaga kontrak DPPKUKM menggunakan metode Weighted Product (WP) dengan kriteria yang dinilai adalah Disiplin Kerja, Kepatuhan Terhadap Aturan, Kemampuan Bekerja. Hasil pengujian performa menunjukkan bahwa setelah menggunakan sistem, tidak ada data nilai kinerja tenaga kontrak yang sama. Sistem penilaian terbukti mampu membedakan kinerja dan kontribusi masing-masing tenaga kontrak dengan lebih baik.Kata kunci: Penilaian Kinerja; Perpanjangan Kontrak; Tenaga kontrak; Weighted Product  
Co-Authors Adriel, Adriel Badali, Muhammad Kirana, Eka Chandra Taufiq, Taufiq