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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.
OPTIMALISASI POTENSI UMKM DAN INDUSTRI KREATIF PAREPARE MELALUI PELATIHAN PEMASARAN DIGITAL DAN APLIKASI C-COMMERCE Tunnisa, Khaera; Yulianadewi, Ina; Mar’atuttahirah, Mar’atuttahirah; Palaloi, Rahmat Eka Putra R; Ramadhan, Syam Syahru; Ashilah, Aspiani Putri; Hikma, Nurul
Jurnal AbdiMas Nusa Mandiri Vol. 8 No. 2 (2026): Periode April 2026
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/abdimas.v8i2.7944

Abstract

This Community Service activity aims to improve the digital capacity and competitiveness of the Kerang Indah Parepare MSME, which processes sea shell waste into economically valuable crafts based on Circular Economy principles. Initial analysis indicated that the partners' main problems included limited product innovation, the lack of structured business records, and low utilization of digital marketing. To address these issues, the team conducted Business Model Canvas training, optimized Google My Business, utilized WhatsApp Business and Facebook Ads, and implemented the C-Commerce application as a digital catalog and record-keeping platform. The implementation method included socialization, pre- and post-tests, training, hands-on practice, and mentoring for one month to ensure the sustainability of the material implementation. Evaluation used a 1–5 scoring scale (1 = very low, 5 = very high). The results of the activity showed a significant increase in competency, marked by an increase in the average score from 3.1 to 4.4, an increase of 1.3 points (41.9%). In addition, there was an increase in business performance with an increase in sales transactions from 11 transactions in August to 27 transactions in September after the digital marketing strategy was consistently implemented. This program has resulted in improved digital literacy, managerial skills, and expanded partner market reach. Furthermore, it also strengthens circular economy practices by utilizing shellfish waste into value-added products and provides contextual learning experiences for students in mentoring technology-based MSMEs.
Implementasi Sistem Monitoring Pembangunan Berbasis Kolaborasi untuk Optimalisasi Tata Kelola Pemerintah Kota Parepare Nuranti, Eka Qadri; Intizhami, Naili Suri; Tunnisa, Khaera; Mar’atuttahirah; Jefri, Muhammad Rivaldi; Anugrah, Muhammad; Alfian, Muhammad; Hakim, Lukman; Alfatih, Muhammad Aldi; Palaloi, Rahmat Eka Putra R
Jurnal Pengabdian UNDIKMA Vol. 7 No. 2 (2026): May
Publisher : LPPM Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jpu.v7i2.19958

Abstract

This community service program aims to implement a Development Monitoring System based on collaboration between academics and the local government in order to improve reporting efficiency, data consistency, and information validity, while strengthening the capacity of government officials to support transparent and accountable governance. The program involved 14 officials from the Regional Development Planning Agency (Bappeda) of Parepare City. The implementation methods included needs analysis, system design, implementation, as well as training and technical assistance. Evaluation was conducted through pre-test and post-test assessments using the Quizizz application and user satisfaction questionnaires. The results showed an improvement in participants’ understanding, particularly in technical aspects, with an accuracy increase of 25% (from 64% to 89%). In addition, the level of user satisfaction was high, with the ease-of-use score reaching 4.50 out of 5, indicating that the system was easy to operate and well accepted by users. This program highlights the importance of collaboration between academics and local government in realizing data-driven development governance and has the potential to be further developed through integration with other systems, such as the Regional Innovation System and the Performance Indicator System.