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All Journal Alsina : Journal of Arabic Studies Jurnal Penelitian Teknologi Informasi dan Sains LISANIA: Journal of Arabic Education and Literature Inovate : Jurnal Ilmiah Inovasi Teknologi Informasi
Muhammad Fatkhur Rizal
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Religion Computer Science & IT Education Languange, Linguistic, Communication & Media Social Sciences

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PERANCANGAN SISTEM INFORMASI PERHITUNGAN PELANGGARAN SISWA MENGGUNAKAN METODE SAW BERBASIS WEBSITE (STUDI KASUS : SMP NEGERI 2 TEMBELANG) Ovi Fitri Satriyati; Anita Andriani; Ginanjar Setyo Permadi; Muhammad Fatkhur Rizal
Inovate Vol 10 No 1 (2025): September
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/inovate.v10i1.9422

Abstract

The implementation of school regulations plays an important role in shaping students' character and discipline. However, at SMP Negeri 2 Tembelang, the recording of student violations is still done manually by the guidance and counseling (BK) teacher, which makes the data prone to being lost, difficult to trace, and slow in supporting decision-making. This study aims to design and develop a web-based student violation scoring information system using the Simple Additive Weighting (SAW) method, which can assist the school in evaluating and classifying the level of violations objectively, quickly, and accurately. The SAW method is used to calculate violation scores based on several predetermined criteria, such as attitude and behavior, neatness, diligence, and the type of violation committed by the student. The system development process consists of the phases of requirements analysis, system design with UML, website implementation with PHP and MySQL and system testing with the black box method. The result of this research is a web-based information system application that can be used by administrators, BK teachers, classroom teachers, and guardians to record violations, calculate points, and display the results of classifying students' violation levels (mild, moderate, serious). The system is also equipped with an internal communication feature between school parties. System tests show that all functions work as expected. This system is intended to increase the efficiency of recording student violations and support the ongoing process of character development.  
Qalam AI: A Study on the Potential of Automatic Ḥarakat Detection for Arabic Sentence Learning Rizki, Restu Budiansyah; Muhammad Fatkhur Rizal; Chusnia Rahmawati; Bachrudin, Muhammad Ali; Farhani, Siti; Batul, Zahadatul
Alsina : Journal of Arabic Studies Vol. 7 No. 2 (2025)
Publisher : Universitas Islam Negeri Walisongo Semarang - Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/alsina.7.2.27500

Abstract

This study examines the linguistic performance and pedagogical relevance of Qalam AI as an automatic ḥarakāt detection system in Arabic sentence learning. Employing an exploratory qualitative case study design, the research involved analysis of student text samples, expert evaluation through comparison between AI-generated outputs and manual linguistic analysis, and classroom integration simulation. The analysis focused on three grammatical cases: al-asmāʾ al-marfūʿah (nominative), al-asmāʾ al-manṣūbah (accusative), and al-asmāʾ al-majrūrah (genitive). The findings indicate that Qalam AI is capable of identifying various sentence-level linguistic features, including grammatical case assignment, orthographic inconsistencies, sentence-structure variation, and punctuation-related issues, while also exhibiting systematic limitations in contexts involving morphological ambiguity and syntactic role differentiation. Rather than functioning as an error-free automation tool, Qalam AI appears to support form-focused learning by making linguistic features visible for learner reflection and instructional mediation. These findings suggest that Qalam AI may serve as a supportive pedagogical tool within AI-assisted Arabic language instruction, complementing human linguistic judgment rather than replacing it. The study contributes to ongoing discussions in Computer-Assisted Language Learning and Arabic Natural Language Processing by highlighting the instructional value of automatic diacritization systems beyond technical accuracy.
Co-Authors Abda Abda Achwaludin Amir Hasyim Agung Rizky Wijaya Alfi Azqia Uzzulfa Haq Anita Andriani ANITA ANDRIANI, ANITA Bachrudin, Muhammad Ali Batul, Zahadatul Chusnia Rahmawati Didiek Rusdyanto Evi Vitriana Gayuh Afwa Maulana Alhasy Ginanjar Setyo Permadi Hadi Sucipto I Kadek Dwi Nuryana Iftitaahul Mufarrihah Kapindho Febriyanto Khoiry Mahmud M Wildan Kafafi Mashuri, Chamdan Mujianto, Ahmad Heru Ovi Fitri Satriyati Raden Mohamad Herdian Bhakti Rahma Sarita Khairunnissa Rizki, Restu Budiansyah Tanhella Zein Vitadiar Zein Vitadiar, Tanhella