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All Journal TRANSIENT: Jurnal Ilmiah Teknik Elektro Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) Pedagogi Hayati Aksara Machine : Jurnal Teknik Mesin Widyabastra : Jurnal Ilmiah Pembelajaran Bahasa dan Sastra Indonesia JSFK (Jurnal Sains Farmasi & Klinis) Islamika : Jurnal Ilmu-Ilmu Keislaman Jurnal Basicedu Jurnal Penelitian dan Pengabdian Kepada Masyarakat UNSIQ Ayumi : Jurnal Budaya, Bahasa, dan Sastra Jurnal Ilmu Kefarmasian Indonesia SCAFFOLDING: Jurnal Pendidikan Islam dan Multikulturalisme Jurnal Vokasi Dinasti International Journal of Digital Business Management At-Tarbawi : Jurnal Pendidikan, Sosial dan Kebudayaan Didaktik : Jurnal Ilmiah PGSD STKIP Subang Darul Ilmi: Jurnal Ilmu Kependidikan dan Keislaman Fitrah: Journal of Islamic Education International Journal of Science and Society (IJSOC) Jurnal Lex Suprema Jurnal Pendidikan dan Pembelajaran Sekolah Dasar (JPPSD) Society: Jurnal Pengabdian Masyarakat Indonesian Journal of Educational Development (IJED) Sinergi Polmed : Jurnal Ilmiah Teknik Mesin Jurnal Basicedu SWARNA Inicio Legis : Jurnal Hukum Jurnal Pendidikan, Sains dan Teknologi Journal of Industrial Community Empowerment Journal of Research and Publication Innovation Jurnal Cendekia : Media Komunikasi Penelitian dan Pengembangan Pendidikan Islam Teknomatika: Jurnal Informatika dan Komputer Jurnal Pendidikan Ekonomi, Perkantoran, dan Akuntansi Journal of Curriculum and Pedagogic Studies Social Empirical RANGGUK: Jurnal Pengabdian Kepada Masyarakat
Muhammad Alfian, Muhammad
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PENANAMAN NILAI-NILAI KARAKTER (AKHLAK MULIA) DI TPA-TPSA NAGARI TIGO SUNGAI INDERA PURA Alfian, Muhammad; Angela, Lia; Anzalina, Hofifah; Saputri, Utari Aulia Tianda; Saslina, Tri
RANGGUK: Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 1 (2024): RANGGUK: Jurnal Pengabdian Kepada Masyarakat
Publisher : Institut Agama Islam Negeri Kerinci

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32939/rgk.v4i1.3564

Abstract

This Community Service is intended as a preventive effort to reduce the morals of TPA-TPSA students. The impact in question is a reduction in students' ethics and concern for each other. Preventive efforts that are expected to touch the root of the problem are the application of character values to build noble moral behavior in students. In general, cultivating character values can be implemented by: 1). Building student character by increasing their sense of caring for others. The real step that can be taken is the formation of a cadre of students to become role models for students in instilling noble character values. As exemplary figures, cadres need to be equipped with knowledge, attitudes, behavior and understanding skills related to implementing noble moral character appropriately and intelligently. 2). Building Character through habituation, one of the habituation activities can be initiated through a learning program.
Pendampingan Literasi Digital Berbasis Komunitas untuk Siswa SD dalam Menghadapi Era Digital Laila, Nur; Rahmawati, Lia; Andriani, Nining; Alfian, Muhammad
SWARNA: Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 3 (2025): SWARNA : Jurnal Pengabdian Kepada Masyarakat, Maret 2025
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi 45 Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/swarna.v4i3.1846

Abstract

Literasi digital merupakan kompetensi kritis di abad ke-21, namun pemahaman mendalam tentang penggunaan teknologi yang aman, kritis, dan bertanggung jawab masih rendah di kalangan siswa sekolah dasar, terutama di daerah terpencil. Kegiatan Pengabdian kepada Masyarakat (PkM) ini bertujuan untuk meningkatkan kapasitas literasi digital siswa SDN Inpres Kala, Kabupaten Bima, melalui pelatihan interaktif yang melibatkan seluruh ekosistem pendidikan. Metode pelaksanaan menggunakan pendekatan partisipatif, dimulai dari analisis kebutuhan (need assessment), dilanjutkan dengan pelatihan siswa berbasis experiential dan project-based learning, serta pendampingan bagi guru dan orang tua. Hasil evaluasi menunjukkan peningkatan signifikan pada pengetahuan, sikap, dan keterampilan praktis siswa, khususnya dalam aspek keamanan digital dan identifikasi hoaks. Guru dan orang tua juga mengalami peningkatan kesadaran dan kapasitas sebagai pendamping digital. Disimpulkan bahwa intervensi holistik dan kontekstual efektif dalam menanamkan fondasi literasi digital. Untuk keberlanjutan, diperlukan integrasi materi ke dalam kurikulum sekolah, penguatan peran guru sebagai fasilitator, dan kolaborasi aktif dengan orang tua dalam menciptakan ekosistem digital yang positif dan aman bagi siswa
Pemanfaatan Pembelajaran Mesin untuk Klasifikasi Kebutuhan Perangkat Lunak Setiawan, Wahyu Fajar; Ariatama, Ilham Putra; Yuhana, Umi Laili; Alfian, Muhammad
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 13 No 1: Februari 2026
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2026131

Abstract

Klasifikasi kebutuhan perangkat lunak merupakan salah satu langkah terpenting dalam rekayasa perangkat lunak. Klasifikasi ini membantu pengembang untuk mengategorikan kebutuhan fungsional atau functional requirement (FR) dan kebutuhan non-fungsional atau non-functional requirement (NFR). Klasifikasi ini sangat penting untuk memastikan bahwa setiap aspek kebutuhan perangkat lunak terpenuhi dengan efisien sehingga perangkat lunak yang dikembangkan akhirnya dapat memenuhi harapan penggunanya. Namun, klasifikasi manual memerlukan waktu lama dan rentan terhadap kesalahan manusia, terutama pada proyek skala besar. Sehingga pada penelitian ini kami bertujuan mengotomatisasi proses klasifikasi kebutuhan perangkat lunak menggunakan beberapa algoritma pembelajaran mesin seperti Logistic regression, SVM, Multinomial Naive Bayes, KNN, Random Forest, dan Decision Tree dengan ekstraksi fitur seperti TF-IDF, BoW, dan BERT menggunakan dataset PROMISE_exp yang berisi 969 kebutuhan perangkat lunak (444 FR dan 525 NFR), untuk mengetahui kombinasi terbaik antara metode ekstraksi fitur dengan algoritma klasifikasi. Hasil eksperimen menunjukkan bahwa Logistic regression dengan fitur TF-IDF menghasilkan akurasi tertinggi sebesar 97% di antara semua pendekatan. Model ini juga cukup seimbang dalam hal precision, recall, dan F1-Score. Model tersebut terbukti menjadi pilihan yang sangat andal untuk mengklasifikasikan kebutuhan perangkat lunak. Decision Tree yang dikombinasikan dengan BERT ternyata memiliki kinerja yang lebih buruk, yang menyatakan bahwa model ini kurang mampu menangani fitur-fitur yang kompleks dari BERT. Kontribusi utama penelitian ini adalah pembuktian empiris bahwa model klasifikasi sederhana (Logistic Regression + TF-IDF) dapat mengungguli pendekatan kompleks berbasis transformer (BERT) untuk tugas klasifikasi kebutuhan perangkat lunak, memberikan panduan praktis bagi pengembang dalam memilih pendekatan otomatisasi yang efektif dan efisien.   Abstract Software requirement classification is one of the most important steps in software engineering. This classification helps developers categorise functional requirements (FR) and non-functional requirements (NFR). This classification is very important to ensure that every aspect of software requirements is met efficiently so that the developed software can ultimately meet user expectations. However, manual classification is time-consuming and prone to human error, especially in large-scale projects. Therefore, in this study, we aim to automate the software requirement classification process using several machine learning algorithms such as Logistic regression, SVM, Multinomial Naive Bayes, KNN, Random Forest, and Decision Tree with feature extraction such as TF-IDF, BoW, and BERT using the PROMISE_exp dataset containing 969 software requirements (444 FR and 525 NFR), to determine the best combination of feature extraction methods with classification algorithms. The experimental results show that Logistic regression with TF-IDF features produces the highest accuracy of 97% among all approaches. This model is also quite balanced in terms of precision, recall, and F1-Score. The model proved to be a very reliable choice for classifying software requirements. Decision Tree combined with BERT turned out to have poorer performance, indicating that this model is less capable of handling the complex features of BERT. The main contribution of this research is the empirical proof that a simple classification model (Logistic Regression + TF-IDF) can outperform complex transformer-based approaches (BERT) for software requirement classification tasks, providing practical guidance for developers in choosing effective and efficient automation approaches.
GOVERNING ISLAMIC EDUCATION IN A DECENTRALIZED SYSTEM: A COMPARATIVE STUDY OF PUBLIC SCHOOLS, ISLAMIC BOARDING SCHOOLS, AND PESANTREN IN WEST SUMATRA Sandra, Ika; Arya Kurniawan, Rama; Alfian, Muhammad
Didaktik : Jurnal Ilmiah PGSD STKIP Subang Vol. 12 No. 02 (2026): Volume 12 No. 2, Juni 2026 Publish
Publisher : STKIP Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36989/didaktik.v12i02.12928

Abstract

This study examines the implementation and management of Islamic education within a decentralized educational system in West Sumatra, Indonesia, specifically in the cities of Padang and Padang Panjang. The shift from a centralized to a decentralized governance structure in 1999 provided local governments with greater autonomy over education, allowing them to tailor educational policies to the needs of their communities. This research focuses on the role of local government in overseeing Islamic education in various school types, including public schools, Islamic boarding schools, and pesantren. Using a qualitative approach, the study collects data through interviews with key stakeholders such as education authorities, school principals, and teachers as well as document analysis from government and educational institutions. The findings highlight the diverse methods of implementing Islamic education in these cities and the challenges faced by local authorities in aligning Islamic education with both national curriculum standards and religious values. The study reveals the flexibility and adaptability of schools in West Sumatra in responding to the decentralization of education and offers insights into the intersection of policy, practice, and local values in shaping the educational landscape.
Co-Authors Afandy, Moh Ajub Ajulian Zahra Macrina Amelia, Rizka Wahyuni Amiruddin Amiruddin Amrina Amalia Yogananda Andriani, Nining Angga Bahri Pratama Anggreni, Mahera Anzalina, Hofifah Ariatama, Ilham Putra Ariksa, Jeri Arya Kurniawan, Rama Asbupel, Fatnan Azmi, Maimunah Christian Wiradendi Wolor Damayanti, Rahma Danar Susilo Wijayanto Efendi, Mohamad Syarifudin Efrizal Fachry Abda El Rahman Fajar Setiawan Fathurrasuli Fathurrasuli, Fathurrasuli Fitri Andriani Fatimah Fitri Ramadhani Fitriyani Fitriyani Gunarti, Fitri Hendra Lardiman Herfia Rhomadhona Herningrum, Indah Hersyaputra, Mohamad Syazimmi Ikhsan, Dzikril Ismi Prihandari Isnanto, Irham Hasri Jaya, Muhammad Triyanda Taruna Jelita, Dara JUMADDIL HAIR Kadriadi Kadriadi, Kadriadi Kartika, Rani Kemas Imron Rosadi Latri Aras, Latri Lia Angela Lia Rahmawati, Lia Listiana Hidayati Marsofiyati Marsofiyati Maulana, Mochamad Luqni Mubarok, Abdul Haris Muhammad Akbar Muhammad Nurul Hasanudin Nagiya Nama, Antonius Perada Navisa, Qavka Nining Sugihartini Nugroho, Vincentius Sulistyo Aji NUR LAILA Opu, Agus Salim Permadi, Jaka Pertiwi, Anisa Ayu Purwanto, Muhammad Roy Putra, Pristian Hadi Putra, Renaldi Aprinel Putri, Suci Oktavia Rahmadona, Yulia Rahmadzani, Defani Rizky Rahman, Sabar Aulia Rahmawati, Annisa Khomisi Rahmawati, Karisma Rasmita Ruli Nur Safitri Sandra, Ika Sapto Yuliani Saputri, Utari Aulia Tianda Saragi, Jandri Fan HT Sari, Atin Anggela Sari, Ratna Intan Saslina, Tri Suhartini Suhartini Umi Laili Yuhana Valentina Edellwiz Edwar Valerina, Valerina Wahyul Amien Syafei Winda Aprianti Wirakusuma, Kadex Widhy Yudhitya, Dimas Yudi Siswanto Yudi Widagdo Harimurti, Yudi Widagdo Yusdianto Yusnawati, Septian Zuliastutik, Hendri