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All Journal Jurnal Pengabdian Mandiri Bulletin of Network Engineer and Informatics (BUFNETS)
Jupri Hadi, Marham
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Humanities Computer Science & IT Languange, Linguistic, Communication & Media Social Sciences Other

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Journal : Bulletin of Network Engineer and Informatics (BUFNETS)

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Initial Development of the KITABOOKA Platform to Support the Madrasah English Mentoring Program Based on Cultural Literacy and Soft Skills jupri hadi, marham; Fitriani; ma'we, hannatul; hully; hakim, marwan
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: 10.59688/2bgn1b58

Abstract

The digital era demands innovation in English language learning that not only focuses on linguistic competence but also integrates cultural literacy and soft skills. Web-based collaborative learning platforms become a solution to create an authentic and interactive learning environment. This study aims to develop the initial KITABOOKA platform as a collaborative English learning medium that integrates cultural literacy and soft skills through a web-based mentoring program using the Research and Development (R&D) ADDIE model. The research uses an R&D approach with the ADDIE model. However, in this study, we only use the first three stages (Analysis, Design, Development). Data were collected through surveys, interviews, and observations from 25 respondents consisting of students, university students, lecturers, and English teachers. Based on the analysis of user needs, this platform needs to be equipped with key features such as a learning module, English language learning activities, cultural literacy features, soft skills enhancement features, digital mentoring system features, and other general supporting features. Additionally, validation by seven experts showed that the initial design of the KITABOOKA platform received an average score of 4.55, categorized as very valid, covering aspects of content, appearance, technical, pedagogical, and usability. The analysis of the needs from users and experts indicates that the KITABOOKA platform already meets the feasibility standards as a collaborative digital learning platform and is ready to proceed to the limited testing phase in the next study.
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 Abdul Syukur Abyadul Fitriyah Aminah Zaim Alyaminy, Ishmah Humaidatul Andry Kartika, Ni Made Damar Pamenang, Galang Fajri, Lalu Moh. Nazar Fitriani Gunadi, Sahrul Hakim, Marwan Harmayani, Ria Hilyana, Siti Hully Ma'we, Hannatul Mariani, Yuni Nefi Andriana Fajri Permadi, Hari