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All Journal Bulletin of Network Engineer and Informatics (BUFNETS)
Ma’we, Hannatul
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Computer Science & IT

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PENGEMBANGAN SISTEM INFORMASI GURU PADA TAMAN PENDIDIKAN AL-QURAN DI DESA SURALAGA Fitriani, Fitriani; Hariadi, Dodi; Ma’we, Hannatul
Bulletin of Network Engineer and Informatics Vol. 3 No. 1 (2025): BUFNETS (Bulletin of Network Engineer and Informatics) April 2025
Publisher : GWEX NET PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59688/bufnets.v3i1.70

Abstract

Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem informasi guru pada Taman Pendidikan Al-Qur'an (TPQ) di Desa Suralaga. Sistem ini dirancang untuk membantu dalam pengelolaan data guru, siswa, jadwal, dan kegiatan lainnya yang ada di TPQ. Dengan menggunakan teknologi berbasis web, sistem ini memberikan akses yang mudah dan aman bagi pengguna dalam mengelola dan mengakses informasi kapan saja dan di mana saja. Metode yang digunakan dalam pengembangan sistem ini meliputi analisis kebutuhan, perancangan sistem, implementasi, dan pengujian. Pengumpulan data dilakukan melalui wawancara dengan pihak terkait dan observasi langsung di lapangan. Hasil dari penelitian ini menunjukkan bahwa penerapan sistem informasi berbasis web di TPQ Desa Suralaga dapat meningkatkan efisiensi dalam pengelolaan data, memberikan keamanan data yang lebih baik, serta memudahkan akses informasi bagi pengguna.
CLASSIFICATION OF SUPERIOR COCOA FRUITS USING FUZZY LOGIC METHOD BASED ON PHYSICAL PARAMETERS Hakim, Marwan; Ma’we, Hannatul; Fitriani; Jupri Hadi, Marham
Bulletin of Network Engineer and Informatics Vol. 3 No. 2 (2025): BUFNETS (Bulletin of Network Engineer and Informatics) October 2025
Publisher : GWEX NET PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59688/y1njb332

Abstract

The quality of cocoa fruit is an important factor in supporting productivity and market value in the agricultural sector. The determination of superior cocoa fruit, which has so far been done manually, is still subjective and inefficient. This study aims to develop an expert system to classify superior cocoa fruit using the Fuzzy Logic method with the Mamdani approach, based on physical parameters such as length, width, weight  and number of seeds. The research was conducted in Genggelang Village, Senara Hamlet, North Lombok, using 50 cocoa fruit samples from various varieties. The system was designed using the Python programming language and a MySQL database and tested through the black box method and performance evaluation using a confusion matrix. The classification results show that the system is capable of identifying superior cocoa fruits with an accuracy of 71.7%. The high recall value for the 'superior' class indicates good system sensitivity, although precision can still be improved. Misclassifications generally occur in physical parameters that lie on the borderline between categories. This study demonstrates that the fuzzy logic method is effective in enhancing the objectivity and efficiency of cocoa fruit classification. The developed system can serve as a potential tool to support decision-making in technology-based agriculture.
Co-Authors Fitriani Fitriani Fitriani Hakim, Marwan Hariadi, Dodi Jupri Hadi, Marham