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All Journal IAES International Journal of Robotics and Automation (IJRA) JURNAL PASTI (PENELITIAN DAN APLIKASI SISTEM DAN TEKNIK INDUSTRI) ComTech: Computer, Mathematics and Engineering Applications Jurnal Abdi Masyarakat (JAM) Abdi Teknoyasa Proceeding Mercu Buana Conference on Industrial Engineering Journal of Information System, Technology and Engineering IRA Jurnal Pengabdian Kepada Masyarakat Greenation International Journal of Economics and Accounting
Haekal, Jakfat
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Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Transportation Other

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Pelatihan Penerapan AI untuk Analisis Beban Kerja di PT ASD Atep Afia Hidayat, Atep; Gunardi, Yudi; Pranoto, Hadi; Kholil, Muhammad; Haekal, Jakfat
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 Almahdy, Indra; Isradi, Muhammad; Pranoto, Hadi; Kholil, Muhammad; Haekal, Jakfat
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 Riyadi, Selamet; Kholil, Muhammad; Rukyat, Nanang; Pranoto, Hadi; Haekal, Jakfat
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 KEWIRAUSAHAAN HIJAU BAGI SANTRI MELALUI PRODUKSI PEMBERSIH LANTAI RAMAH LINGKUNGAN DI PONDOK PESANTREN DAFA FOKUS, BEKASI UTARA haekal, Jakfat; Mu’min, Rizaldi; Turseno, Andi; Aulia , Najwa Nayra; Wildan, Ammar; Prayuda , Alife
Abdi Teknoyasa Vol. 6 No. 2 (2025): Volume 6, Nomor 2, Desember 2025
Publisher : Universitas Muhammadiyah Surakarta

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Abstract

Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan kesadaran akan pentingnya sanitasi lingkungan serta menumbuhkan jiwa kewirausahaan hijau di kalangan santri melalui pelatihan produksi pembersih lantai ramah lingkungan. Program dilaksanakan di Pondok Pesantren Dafa Fokus, Bekasi Utara, dengan pendekatan partisipatif dan demonstratif yang melibatkan secara aktif para santri dan pengurus pondok. Selama empat minggu, pelatihan dilaksanakan setiap akhir pekan, meliputi penyuluhan mengenai sanitasi, praktik pembuatan produk pembersih lantai, teknik pengemasan, serta kegiatan sosial seperti gotong royong dan santunan anak yatim. Hasil pelaksanaan menunjukkan peningkatan signifikan dalam pengetahuan dan keterampilan peserta dalam memproduksi serta mengemas produk secara mandiri. Kegiatan sosial juga mempererat hubungan emosional antara tim pelaksana, santri, dan masyarakat sekitar. Program ini memberikan kontribusi nyata terhadap peningkatan kesadaran lingkungan, pembentukan soft skill kewirausahaan, dan pengembangan potensi usaha mikro berbasis pesantren.
Engineering Economy Application in Investment Evaluation: A Simulation Approach Kholil, Muhammad; Haekal, Jakfat; Firdaus, Alfa; Almahdy, Indra; Riyadi, Selamet; Hidayat, Atep Afia
Journal of Information System, Technology and Engineering Vol. 3 No. 4 (2025): JISTE
Publisher : Yayasan Gema Bina Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61487/jiste.v3i4.248

Abstract

This study evaluates the feasibility of implementing an Enterprise Resource Planning (ERP) system in the Cosmetics and Household Needs sub-sector using engineering economics and system-dynamics simulation. The investment targets operational efficiency and the correction of transaction and inventory discrepancies. Financial viability was assessed via Net Present Value (NPV), Internal Rate of Return (IRR), and Payback Period (PP), complemented by a multi-year Vensim simulation to capture dynamic cash-flow effects. Results indicate strong feasibility: NPV of Rp 119,654,313 over five years, IRR of 50.38% far above a 3.5% benchmark and a 7-month payback, with simulated trajectories showing increasing NPV and sustained positive cash flow under varying income, expense, and customer-growth assumptions. The ERP solution is at Technology Readiness Level (TRL) 7–8, reflecting prototype demonstration in an operational environment. The initiative aligns with institutional KPIs on digital transformation, efficiency, and financial performance, and supports SDG 9 (Industry, Innovation and Infrastructure) and SDG 12 (Responsible Consumption and Production) by promoting efficient resource management and sustainable industrial practices. Collectively, the evidence suggests ERP adoption is both financially sound and strategically beneficial for firms in this sub-sector.
The Effect of Talent Management and Work Motivation on Employee Performance: A Systematic Literature Review Didin Sjarifudin; Erwin Barita Maniur Tambunan; Jakfat Haekal; Tubagus Hedi Saepudin
Greenation International Journal of Economics and Accounting Vol. 3 No. 1 (2025): Greenation International Journal of Economics and Accounting (March - May 2025)
Publisher : Greenation Research & Yayasan Global Resarch National

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/gijea.v3i1.349

Abstract

Employee performance represents the achievements, work capabilities, and outcomes produced by individuals in an organization. It plays a crucial role in helping companies reach their strategic goals by leveraging high-quality human resources. Performance is measured by the quality and quantity of work accomplished in alignment with an employee's responsibilities. To enhance performance, organizations require skilled and talented employees who are driven to contribute effectively. Work motivation serves as a key factor in enabling employees to perform at their best. This study explores the relationship between talent management, work motivation, on employee performance through a systematic literature review. The article aims to develop a hypothesis on the influence of these variables, providing a foundation for future research. Data sources include online academic libraries, Google Scholar, Mendeley, and other open-access research platforms. The study adopts a library research method, utilizing e-books and peer-reviewed journal articles to examine existing findings. The results indicate that both talent management and work motivation significantly impact employee performance. Effective talent management strategies contribute to better performance outcomes, while work motivation serves as a crucial driver in enhancing employee productivity and engagement.
Co-Authors Alfa Firdaus Andi Adriansyah Atep Afia Hidayat Aulia , Najwa Nayra Didin Sjarifudin Didin Sjarifudin, Didin Erwin Barita Maniur Tambunan Ferdana, Nanda Firdaus, Ade Gunardi, Yudi Hadi Pranoto Herawan Setio Indra Almahdy Indrarespati, Rifaldy Khairul Nizam Mohd Yunus Muhammad Isa Lufti Muhammad Isa Lutfi Muhammad Isradi Muhammad Kholil Muhammad Kholil Mu’min, Rizaldi Prayuda , Alife Rifaldy Indrarespati Rino Ferdian Surakusumah Rukyat, Nanang Saepudin, Tubagus Hedi Selamet Riyadi Setio, Herawan Shamsudin, Abu Ubaidillah Suhartina, Rahmalisa Suprayogi, Jeanry Endriliyan Tambunan, Erwin Barita Maniur Tosty Maylangi Sitorus Tubagus Hedi Saepudin Turseno, Andi Wildan, Ammar Yusi Anindhita ZULHAMIDI, ZULHAMIDI