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All Journal SKANIKA: Sistem Komputer dan Teknik Informatika Jurnal Fakultas Teknik UNISA Kuningan JURNAL PENGABDIAN KEPADA MASYARAKAT UNISA KUNINGAN JURTIK: Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi
Neng Sri Lathifah Zulfa
Universitas Islam Al Ihya Kuningan
Religion Humanities Computer Science & IT Control & Systems Engineering Education Energy Engineering Social Sciences Other

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Penerapan Metode TOPSIS dalam Sistem Informasi Pengaduan Keresahan dan Kejahatan Lingkungan Bagi Masyarakat Berbasis Web (Studi Kasus: Kecamatan Ujungberung) Neng Sri Lathifah Zulfa; Venny Aknestasya Alvianti; Dayanni Vera Versanika
Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi Vol 14 No 2 (2025): Jurnal Penelitian dan Pengembangan Teknologi Informasi dan Komunikasi
Publisher : LPPM STMIK Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58761/jurtikstmikbandung.v14.i2.194

Abstract

Environmental conditions significantly affect community welfare and quality of life, making public participation in reporting environmental concerns and crimes essential. However, manual and unstructured reporting mechanisms often hinder timely and effective responses from authorities. This study aims to design and implement a web-based information system for environmental complaint management by integrating the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. TOPSIS is applied to determine complaint handling priorities based on multiple criteria, including urgency, impact, frequency, and responsibility, using Euclidean distance calculations to positive and negative ideal solutions. The system is developed using the Laravel framework and MySQL database, and provides features such as user registration, complaint submission, status tracking, and complaint history. The results indicate that the proposed system effectively supports local authorities in objectively and systematically prioritizing complaint handling, while also improving efficiency, transparency, and responsiveness in environmental complaint management at the district level.
KLASIFIKASI KELAYAKAN PENERIMA BANTUAN LANGSUNG TUNAI DANA DESA (BLT DD) MENGGUNAKAN ALGORITMA NAÏVE BAYES DI DESA TARAJU: Bahasa Indonesia Neng Sri Lathifah Zulfa; Iffah Athifah
SKANIKA: Sistem Komputer dan Teknik Informatika Vol 8 No 2 (2025): Jurnal SKANIKA Juli 2025
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/skanika.v8i2.3560

Abstract

The Direct Cash Assistance from Village Funds (BLT-DD) program is designed to provide support to rural communities with limited economic means. To ensure that the assistance is properly targeted, the selection process for beneficiaries must be carried out carefully. This study applies the Naïve Bayes algorithm to classify the eligibility of BLT-DD recipients in Taraju Village. Three variants of the Naïve Bayes algorithm were tested, namely Bernoulli Naïve Bayes, Gaussian Naïve Bayes, and Complement Naïve Bayes, using 10-fold cross-validation for evaluation. The results showed that Bernoulli Naïve Bayes achieved the highest accuracy at 91%, followed by Gaussian Naïve Bayes with 90%, and Complement Naïve Bayes with 64%. These findings indicate that Bernoulli Naïve Bayes is more effective in classifying the eligibility of BLT-DD recipients compared to the other two variants.
Co-Authors Ade Mela Ades Putri Awaliah Ahmad Ahmad Ajeng Tresnawati Ali Rohman Amirudin Ana Hadiana Cecep Abdul Cholik Cecep Abdul Cholik Chanda Hardian Dayanni Vera Versanika Dini Hasanul Awaliyah Ervan Nurahman Faisal Luthfi Arrasbi Fanji Fakhru Zaman Hanifa Amalia Hernawati Hernawati Husnul Khotimah Iffah Athifah Lia Aulia Bahriatul Mila Hikmatun Nasihah Novita Siti Julaeha Nur Anas Alhadid Nurohman Nurohman putri almadina, delisha octaviani Rahayu, Mina Ismu Re za Indriana Reni Nuraeni, Reni reza rizki saputra Rizal Muhaimin Rosy Asfihani Siti Maesa Ulfa Venny Aknestasya Alvianti Windi Nurkholifah Yus Jayusman