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All Journal Jurnal Teknologi Dan Sistem Informasi Bisnis
Melky Radja
Sistem Informasi, Sains Dan Teknologi, Universitas Flores

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Sistem Informasi Administrasi Desa Berbasis Web Menggunakan Algoritma Naïve Bayes Untuk Meningkatkan Efisiensi Pelayanan Di Desa Maukeli Nur Aini Ahmad; L.B.Finansius Mando; Melky Radja
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol. 8 No. 4 (2026): Oktober 2026
Publisher :  Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v8i4.259

Abstract

Maukeli Village in Mauponggo District, Nagekeo Regency, still employs a manual system for village administrative services. This situation results in slow document processing, susceptibility to data entry errors, difficulty in retrieving records, and compromised data security. This study aims to design and implement a web-based village administration information system utilizing the Naïve Bayes algorithm to enhance administrative service efficiency in Maukeli Village. A qualitative method with a descriptive approach was employed. System development followed the waterfall method, comprising stages of requirements analysis, system design, code implementation, testing, and maintenance. Data collection involved observation, interviews with the village head, and document analysis. The system was developed using PHP, MySQL, HTML, CSS, and JavaScript, with XAMPP serving as the local server. The Naïve Bayes algorithm was applied to classify service request priorities into three categories: high, medium, and low. System testing was conducted using the black-box testing method. The results indicate that the developed system successfully classified document requests based on historical data and specific criteria with an accuracy rate of 58.3%. Black-box testing confirmed that all key features—for residents, village staff, and the village head—functioned as intended. The system facilitates online request submissions for residents, assists staff in data management and priority classification, and enables the village head to approve documents and monitor service performance. Thus, the web-based information system incorporating the Naïve Bayes algorithm can improve administrative service efficiency in Maukeli Village.
Sistem Informasi Penjualan Hasil Pertanian (Sayuran) Berbasis Web Menggunakan Algoritma Naïve Bayes (Studi Kasus Di Kelompok Tani Bombang Panas Desa Wue Kecamatan Wolomeze Kabupaten Ngada) Kalista Ezong; L.B Finansius Mando; Melky Radja
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol. 8 No. 4 (2026): Oktober 2026
Publisher :  Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v8i4.275

Abstract

The Bombang Panas Farmers Group in Wue Village, Wolomeze District, Ngada Regency, produces various vegetable commodities. However, the sales process is still conducted through local markets, direct buyers, and WhatsApp, resulting in unstructured order records, limited marketing reach, unclear delivery addresses, and potential payment delays. This study aims to develop a web-based agricultural product sales information system to support the management of products, orders, and transactions, as well as to apply the Naïve Bayes algorithm to classify vegetable sales levels. The system was developed using the Waterfall model, which consists of requirements analysis, system design, implementation, testing, and maintenance. Data were collected through observation, interviews, and literature study. The classification dataset consists of five records with product, price, harvest quantity, and sales category attributes. The Naïve Bayes algorithm was applied by calculating the probability of each class based on the attributes of the classified data. The calculation for Kangkung, with a low price and large harvest quantity, produced a probability value of 0.20 for the High Sales class, while the Medium Sales and Low Sales classes each obtained a value of 0.00. Based on these results, Kangkung was classified as High Sales. Black Box Testing showed that the main system functions, including login, product management, ordering, payment, and classification, operated according to the testing scenarios. Functional system testing was distinguished from algorithm accuracy measurement because the available dataset did not provide an adequate independent test set.
Co-Authors Kalista Ezong L.B Finansius Mando L.B.Finansius Mando Nur Aini Ahmad