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All Journal Jurnal Pengabdian Masyarakat Sains dan Teknologi Sewagati: Jurnal Pengabdian Masyarakat Indonesia JOKI: Journal of Computing and Informatics
Matlubul Khairi
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Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Social Sciences Other

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PkM Pendampingan Penggunaan Aplikasi Wad’atul Mal Berbasis Desktop untuk Meningkatkan Layanan Tabungan Santri di Pondok Pesantren Nurul Jadid Wilayah Zaid Bin Tsabit Paiton Probolinggo Matlubul Khairi; Mochammad Fahrezy Abel Syaputra; Syaroful Karomah; Muhammad Fais; Moh. Syukron Wahyudi; Ahmad Faizal Amin; Mohammad Syahrul Hasaniauthor
SEWAGATI: Jurnal Pengabdian Masyarakat Indonesia Vol. 2 No. 4 (2023): Desember : Jurnal Pengabdian Masyarakat Indonesia
Publisher : BADAN PENERBIT STIEPARI PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/sewagati.v2i4.1131

Abstract

Islamic boarding schools are vital for shaping students' character, knowledge, and religious skills. Financial management is crucial for their sustainability, yet Wadi’atul Mal relies on a conventional system, leading to transaction tracking issues and potential errors. The Assistance Activity aims to enhance Wadi’atul Mal services at Nurul Jadid Islamic Boarding School, Zaid Bin Tsabit. Successfully implemented, it involved needs analysis, activity design, system development, and training. The benefits include improved services through a computerized application and trained users, achieving a 95% user understanding. The system's feasibility index is 76.67%, indicating it's very feasible.
Peningkatan Literasi Data Melalui Pelatihan Data Science untuk Siswa SMKN 2 Kraksaan Matlubul Khairi; Muhammad Riski; Moh. Miftahul Rosiqin; Ahmad Roziq Arifin; Moh. Fatoni Ramadani Irsyad; Mardin Mardin
Jurnal Pengabdian Masyarakat Sains dan Teknologi Vol. 3 No. 4 (2024): Desember : Jurnal Pengabdian Masyarakat Sains dan Teknologi
Publisher : Fakultas Teknik Universitas Cenderawasih

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58169/jpmsaintek.v3i4.652

Abstract

The background of this community service focuses on the increasing need for data literacy in the digital age, particularly at SMKN 2 Kraksaan. The school faces challenges in improving students' understanding of data science, which is crucial for preparing them for Industry 4.0. The service aims to enhance students' data literacy through data science training, including understanding basic concepts, data processing techniques, and data analysis. The method involves delivering material, practical sessions using Python programming, and evaluation through pre-tests and post-tests. The training aims to help students understand and apply data science in practical contexts. Evaluation results show that the training is effective in improving students' understanding, with most participants showing significant improvement in their ability to read, process, and analyze data. Although the training facilities are adequate, it is recommended to enhance learning materials and additional resources for future training to ensure even better success.
Enhancing Internship Assignment Efficiency Through Spreadsheet-Based Linear Programming Hudawi, Ahmad; Matlubul Khairi; Ach Ramadhani
JOKI: Jurnal Komputasi dan Informatika Vol 2 No 1 (2025): June 2025
Publisher : Laskar Karya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Internship programs serve as a vital bridge between academic knowledge and real-world practice, preparing students for professional environments. However, the manual process of assigning students to internship positions often results in inefficiencies, misalignments between student skills and job roles, and unnecessary costs. This study introduces a spreadsheet-based linear programming approach using Microsoft Excel Solver to optimize the assignment of internship students to tasks, aiming to minimize total costs while maximizing task compatibility. The model incorporates student profiles, task-specific skill requirements, and associated costs to generate the most efficient allocation. Results show that all four students in the case study were optimally assigned to distinct tasks coding, UI/UX design, editing, and data analysis at the lowest total operational cost of IDR 277,000. The proposed method not only ensures task relevance for each intern but also significantly improves the assignment efficiency. These findings suggest that Excel Solver can be a practical and accessible decision-support tool for academic institutions and partner organizations in managing internship programs.
Co-Authors Ach Ramadhani Ahmad Faizal Amin Ahmad Roziq Arifin Hudawi, Ahmad Mardin Mardin Mochammad Fahrezy Abel Syaputra Moh. Fatoni Ramadani Irsyad Moh. Miftahul Rosiqin Moh. Syukron Wahyudi Mohammad Syahrul Hasaniauthor Muhammad Fais Muhammad Riski Syaroful Karomah