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All Journal Teknik dan Ilmu Komputer JURNAL PASTI (PENELITIAN DAN APLIKASI SISTEM DAN TEKNIK INDUSTRI) Pendas : Jurnah Ilmiah Pendidikan Dasar Jurnal al-Ulum : Jurnal Pemikiran dan penelitian ke-Islaman Awang Long Law Review IDENTIFIKASI: Jurnal Ilmiah Keselamatan, Kesehatan Kerja dan Lindungan Lingkungan Jurnal Ilmiah Teknik Industri JURNAL LENTERA BISNIS INTI Nusa Mandiri Journal of Intelligent Decision Support System (IDSS) Letters in Information Technology Education (LITE) Journal of Industrial Engineering & Management Research (JIEMAR) Industrika : Jurnal Ilmiah Teknik Industri Zuriah : Jurnal Pendidikan Anak Usia Dini Jurnal Al-Fawa'id : Jurnal Agama dan Bahasa JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi) Edukasia: Jurnal Pendidikan dan Pembelajaran Madani: Multidisciplinary Scientific Journal Managere: Indonesian Journal of Educational Management Proceeding Mercu Buana Conference on Industrial Engineering Journal of Information System, Technology and Engineering IRA Jurnal Pengabdian Kepada Masyarakat Journal of Management and Innovation Entrepreneurship (JMIE) GEMBIRA (Pengabdian Kepada Masyarakat) Kesejahteraan Bersama : Jurnal Pengabdian dan Keberlanjutan Masyarakat Equiva Journal of Golden Generation Legal Science
Muhammad Kholil
Universitas Mercu Buana
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

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Pelatihan Penerapan AI untuk Analisis Beban Kerja di PT ASD Atep Atep Afia Hidayat; Yudi Gunardi; Hadi Pranoto; Muhammad Kholil; Jakfat Haekal
IRA Jurnal Pengabdian Kepada Masyarakat (IRAJPKM) Vol 3 No 3 (2025): Desember
Publisher : CV. IRA PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56862/irajpkm.v3i3.344

Abstract

Employee productivity is a key determinant of organizational competitiveness; however, manual workload analysis often leads to imbalances between employees’ capacity and assigned tasks, resulting in inefficiency and reduced well-being. This program aims to provide training on the application of Artificial Intelligence (AI), particularly Artificial Neural Networks, for workload analysis to optimize task distribution and enhance productivity at PT Anugerah Sarana Dinamika. The training consisted of a needs assessment, theoretical sessions on AI, hands-on practice in developing a prototype based on company workload data, mentoring, and workload scenario simulations. Evaluation using pre–post tests on a Likert scale showed a significant improvement in participants’ understanding of AI concepts (average score increased from 2.1 to 4.2), with 80% of participants able to operate the workload analysis prototype and an overall satisfaction rate of 88%. The program successfully improved participants’ digital literacy and technical skills and demonstrated the effectiveness of AI in supporting sustainable human resource management transformation.
Lokakarya Sistem Prediksi Pemeliharaan Mesin Menggunakan Algoritma Random Forest pada Perusahaan Layanan Perawatan Kendaraan Indra Almahdy; Muhammad Isradi; Hadi Pranoto; Muhammad Kholil; Jakfat Haekal
IRA Jurnal Pengabdian Kepada Masyarakat (IRAJPKM) Vol 3 No 3 (2025): Desember
Publisher : CV. IRA PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56862/irajpkm.v3i3.345

Abstract

This community service program was conducted to address the low efficiency of conventional machine maintenance systems and the high risk of unexpected breakdowns in vehicle service companies. The program aimed to introduce a predictive maintenance system based on the Random Forest algorithm, enabling partners to shift from reactive maintenance practices toward data-driven decision-making. The applied methods included a needs assessment, theoretical training on machine learning fundamentals for 10 participants, hands-on practice using Python and Google Colab, and guided case studies based on the partner’s historical machine data. Evaluation results indicated a 42% improvement in participants’ technical understanding, while the developed system demonstrated the capability to detect potential failures 2–3 days earlier than traditional methods. The implementation successfully reduced unscheduled downtime and operational costs. Overall, this program enhanced the partner’s capacity to implement predictive maintenance, strengthened technicians’ digital literacy, and supported sustainable digital transformation in the vehicle service sector.
Pelatihan Peramalan Permintaan Berbasis Machine Learning untuk Optimalisasi Produksi Mendukung SDG 8 Selamet Riyadi; Muhammad Kholil; Nanang Rukyat; Hadi Pranoto; Jakfat Haekal
IRA Jurnal Pengabdian Kepada Masyarakat (IRAJPKM) Vol 3 No 3 (2025): Desember
Publisher : CV. IRA PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56862/irajpkm.v3i3.346

Abstract

This community service program aims to enhance the capabilities of business actors and industry practitioners to apply machine learning-based demand forecasting to optimize production and support the achievement of SDG 8. The training was conducted through interactive workshops consisting of conceptual introduction, hands-on model development, and analysis of forecasting results using production datasets. Participants were guided in variable selection, model accuracy evaluation, and the use of prediction outputs for production decision-making. Evaluation results indicate an 85% improvement in participants' understanding of forecasting concepts and an 80% increase in software-use competence. This program contributes to improving technological literacy, enhancing production planning efficiency, and building digital capacity as part of sustainable economic development.
Pelatihan Digital Marketing bagi UMKM Migran Indonesia di Malaysia Menggunakan Kerangka 5A Kotler: Sebuah Program Pengabdian kepada Masyarakat Muhammad Kholil; Adizty Suparno
IRA Jurnal Pengabdian Kepada Masyarakat (IRAJPKM) Vol 3 No 3 (2025): Desember
Publisher : CV. IRA PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56862/irajpkm.v3i3.354

Abstract

This community service program aimed to improve the digital marketing skills of Indonesian migrant SMEs in Malaysia through training based on Kotler’s 5A framework (Aware, Appeal, Ask, Act, Advocate). Conducted in collaboration with PERMAI Pulau Pinang, the program engaged 43 participants from various business sectors. Training was delivered through interactive sessions, discussions, and practical guidance focused on social media marketing, basic SEO, content creation, and customer engagement. Program effectiveness was measured using a quantitative expectation–performance approach across 12 indicators on a 5-point Likert scale. The results showed an average expectation score of 3.47 and a performance score of 3.32, indicating a small gap (−0.15) and overall alignment with participant expectations. High consistency was found in material relevance, delivery methods, and facilitator competence. However, the largest gap (−0.26) appeared in perceived tangible benefits, suggesting the need for extended implementation time. In conclusion, the training effectively enhanced participants’ awareness and understanding of digital marketing strategies. Ongoing mentoring is recommended to support sustainable application and measurable business improvement among Indonesian migrant SMEs.
Co-Authors ., Friendy Ade Arviani Nurul Gadissa Ade Arviani Nurul Gadissa, Ade Arviani Nurul Adizty Suparno Agus R, Abu Hasan Agus Saiful Umar Agustina, Aifrid Ajeng Yeni Setianingrum Alex Bagus Dewantara Alex Bagus Dewantara Alfa Firdaus Almira Ulimaz Andriyanto, Widi Arifin Arifin Atep Afia Hidayat Awang Kurniawan Basuki Wisnu Danar Susilo Wijayanto desi kristanti, desi Deykha Aguilika Djunaedi Djunaedi Dwi Aji Santoso, Dwi Aji Elviandri, Elviandri Euis Nina Saparina Yuliani, Euis Nina Saparina Firdaus, Syahadatinah Fuada, Shofiya Hadi Pranoto Haekal, Jakfat Hasbullah Hasbullah Hayu Kartika Herman Dwi Surjono Herminarto Sofyan Ibrahim, Mozart Malik Ida Ayu Putu Sri Widnyani Indira Aisha Indra Almahdy Indra Almahdy Indrarespati, Rifaldy Ita Karimatussya’fi Joko Joko S. Joko Joko S., Joko Khairul Nizam Mohd Yunus Komeyni Rusba Lebinner Sinaga Luqmantoro, Luqmantoro Marsudin, Ahmad Mar’i Muhammad Yudha Mochamad Fadly Rafsa Mochamad Fadly Rafsa Muhamad Ramdan, Muhamad Muhammad Isa Lutfi Muhammad Isradi Muhammad Khoirul Muhammad Nurcholis Alhadi Mustafa, Fahrina Mutiara, Winda Mu’min, Rizaldi Nanang Rukyat Ngatou Rohman Nitasari, Rizki Fitriya Nurato Nurato Nurato Nurul Husnaini, Azizah Peggy Hariwan Peggy Hariwan, Peggy Permana, Deni Priambudi, Bowo Priatna, Ariel Rahmatullah Ayu Hasmiati Rifaldy Indrarespati Rizki Aprilia Rudini Mulya, Rudini Salim, Muhammad Bayu Sari, Dian Purwanti Selamat Riadi Selamet Riyadi Selamet Riyadi Setia Bakti, Candra Setianingrum, Ajeng Yeni Sidik, Rasyid Siti Alfiyah Siti Hanifah Siti Hanifah SONNY KOESWARA Sonny Koeswara Suhermanto, Suhermanto Sulaiman Bin Haji Hasan Sunaryo, Hadi Surahman Surahman Syarif Hidayat SYARIFUDDIN SYARIFUDDIN Syivarulli, Riina Tri Pambudi, Tri Violin, Vivid wening wihartati, wening Yasinta Istighfan Yudi Gunardi Zamzam Zaelani, Mohamad Zulfa Fitri Ikatrinasari