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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) EMITTER International Journal of Engineering Technology BAREKENG: Jurnal Ilmu Matematika dan Terapan SINTECH (Science and Information Technology) Journal Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat J-Dinamika: Jurnal Pengabdian Kepada Masyarakat Abdimas Toddopuli: Jurnal Pengabdian Pada Masyarakat JURNAL AKUNTANSI KEUANGAN DAN MANAJEMEN Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Teknik Informatika (JUTIF)
Khaera Tunnisa, Khaera
Institut Teknologi Bacharuddin Jusuf Habibie
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Health Professions Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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MSMEs Recommendation System using Item-Based Collaborative Filtering and LightGBM Machine Learning Mar’atuttahirah, Mar’atuttahirah; Tunnisa, Khaera; Ra, Danang Fatkhur Razak; Najwa, Hafizah; Fahrisal, Januar
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 5 (2025): JUTIF Volume 6, Number 5, Oktober 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.5.5292

Abstract

Micro, Small, and Medium Enterprises (MSMEs) face challenges in recommendation systems for digital economy growth, particularly in participatory development and sustainable revenue optimization. This study aims to develop a recommendation system using Item-Based Collaborative Filtering and LightGBM for stock prediction and item recommendation at Kedai Pesisir MSME. Based on 1,229 transaction records from January to July 2025, we performed preprocessing, feature engineering, and LightGBM training to generate daily stock predictions and monthly priorities for August 2025 to January 2026. Evaluation yielded RMSE 0.069, MAE 0.034, and MAPE 1.14%, indicating high accuracy. This advances informatics by providing a scalable AI tool for MSME inventory management and revenue enhancement, supporting strategic decisions in dynamic markets.
Peningkatan Pembelajaran Daring Guru TKIT AL Azizi Melalui Pelatihan Learning Management System Interaktif: Pelatihan Learning Management System Interaktif Darti Akhsa, Alvian Tri Putra; Tunnisa, Khaera; Rosmiati, Rosmiati; Mar'atuttahirah, Mar'atuttahirah; Rahman, Rakhmadi; Abdullah B; Chintami Darti Akhsa, Amaliah; Baharuddin, Siti Hajar
Abdimas Toddopuli: Jurnal Pengabdian Pada Masyarakat Vol. 7 No. 1 (2025): Volume 7, No 1, Desember 2025
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/atjpm.v7i1.7382

Abstract

Pembelajaran daring menjadi kebutuhan penting dalam menunjang proses pendidikan, terutama pada situasi yang mengharuskan interaksi jarak jauh. Namun, di TKIT Al Azizi Parepare, proses pembelajaran daring masih terbatas karena belum adanya platform terpusat untuk mengelola materi ajar dan tugas siswa. Guru masih mengandalkan aplikasi WhatsApp untuk komunikasi dan pengumpulan tugas, yang menyebabkan dokumentasi tidak terstruktur dan kurangnya efektivitas pemantauan perkembangan siswa. Kegiatan Pengabdian kepada Masyarakat (PkM) ini bertujuan meningkatkan keterampilan guru dalam memanfaatkan Learning Management System (LMS) melalui pelatihan pembelajaran interaktif. Metode pelaksanaan mencakup observasi, koordinasi dengan mitra, pengembangan LMS berbasis web, penyusunan modul pelatihan, dan pelaksanaan pelatihan disertai pretest dan posttest. Peserta pelatihan adalah 15 guru TKIT Al Azizi Parepare. Hasil pelatihan menunjukkan peningkatan signifikan pada pemahaman penggunaan LMS, dari 20% peserta yang familiar sebelum pelatihan menjadi 86,67% setelah pelatihan. Ketertarikan guru untuk menggunakan LMS juga meningkat dari 66,67% menjadi 93,34%. Pelatihan ini berhasil meningkatkan kesiapan guru dalam mengadopsi pembelajaran daring yang lebih interaktif, terstruktur, dan terdokumentasi dengan baik, sehingga mendukung transformasi digital di lingkungan sekolah.
Collaboration FMADM And K-Means Clustering To Determine The Activity Proposal In Operational Management Activity Awangga, Rolly Maulana; Pane, Syafrial Fachri; Tunnisa, Khaera
EMITTER International Journal of Engineering Technology Vol 7 No 1 (2019)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (209.522 KB) | DOI: 10.24003/emitter.v7i1.317

Abstract

Indonesian government agencies under the Ministry of Energy and Mineral Resources still use manual methods in determining and selecting proposals for operational activities to be carried out. This study uses the Decision Support System (DSS) method, namely Fuzzy Multiple Attribute Decision Decision (Fmadm) and K-Means Clustering method in managing Operational Plan activities. Fmadm to select the best alternative from a number of alternatives, alternatives from this study proposed activity proposals, then ranking to determine the optimal alternative. The K-Means Clustering Method to obtain cluster values for alternatives on the criteria for activity dates, types of activities, and activity ceilings. The last iteration of the Euclidian distance calculation data on k-means shows that alternatives that have the smallest centroid value are important proposal criteria and the largest centroid value is an insignificant proposal criteria. The results of the collaboration of the Fmadm and K-Means Clustering methods show the optimal ranking of activities (proposal activities) and the centroid value of each alternative.
Co-Authors Abdullah Abdullah Abdullah B Abdullah B Aditya, Muh. Tri Akmal Baharuddin Syam Al-Amin, Muh. Alvian Tri Putra Darti Akhsa Alya Wulan Apriliyani Amal, Muhammad Ikhlashul Andi Nurfadillah Ali Apriliyani, Alya Wulan Baharuddin, Siti Hajar Barik Alfito, Ramadan Chintami Darti Akhsa, Amaliah Danang Fatkhur Razak Darti Akhsa, Alvian Tri Putra Fahrisal, Januar Fathuresqi, Fathuresqi Fatwa, Syafira Hakim, Nur Fadillah Iping Supriana Suwardi Januar Fahrisal Lukman Hakim Mar'atuttahirah, Mar'atuttahirah Maratuttahirah Maratuttahirah, Maratuttahirah Mar’atuttahirah Mar’atuttahirah, Mar’atuttahirah Najwa, Hafizah Najwa, Hafizhah Noel Ivander Pusung Nur Fadillah Hakim Nurhalizah, Siti Pusung, Noel Ivander Ra, Danang Fatkhur Razak Raden Mohamad Herdian Bhakti Rakhmadi Rahman Ramadhan, Syam Syahru Razak, Danang Fatkhur Rolly Maulana Awangga, Rolly Maulana Rosmiati Rosmiati Rosmiati Rosmiati Siti Nurhalizah Suryabuana, Andi Sahra Syafira Fatwa Syafrial Fachri Pane Syafrial Fachri Pane, Syafrial Fachri Tri Aditya, Muh Wahyuni Ekasasmita