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Analisa Pengendalian Persediaan Barang Dengan Perbandingan Metode Economic Order Quantity (EOQ) dan Just In Time (JIT) di PT. Astra Otoparts Tbk (Studi Kasus: Shop & Drive Sunter 1) Priambudi, Bowo; Kholil, Muhammad
Proceeding Mercu Buana Conference on Industrial Engineering Vol 3 (2021): RESEARCH DEVELOPMENT BASED ON LITERATURE REVIEW
Publisher : Universitas Mercu Buana

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Abstract

This study aims to find out how the tire inventory control system is regulated according to current company policies and to find out how much the cost of merchandise inventory is Bridgestone Ecopia EP150 185/70R14, Bridgestone Ecopia EP150 175/65R14, Bridgestone Ecopia EP150 185/65R15 and Bridgestone Ecopia EP150 205/65R16 at Shop & Drive Sunter 1 for a period of 1 year (August 2021 – July 2022) then compare them using the Economic Order Quantity (EOQ) method and the Just In Time (JIT) method. The results of calculations using the Economic Order Quantity (EOQ) method are more effective and efficient if the company can optimize every aspect of inventory procurement including economical purchases, purchase frequency, safety stock. So get a total cost of Rp. 98,183,928 with an efficiency of Rp. 10,265,407.
Rancangan Lean Manufaktur Untuk Mengurangi Proses Non Value Added Dengan Menggunakan Metode VSM dan DMAIC di Perusahaan Otomotif Priatna, Ariel; Kholil, Muhammad
Proceeding Mercu Buana Conference on Industrial Engineering Vol 2 (2020): ARAH PENGEMBANGAN RISET ENGINEERING DI ERA REVOLUSI INDUSTRI 4.0
Publisher : Universitas Mercu Buana

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Abstract

Perusahaan otomotif ini adalah perusahaan yang bergerak di bidang komponen otomotif sepeda motor dan mobil. Untuk produk Rotor Oil Pump ini sejak periode Januari 2020 – September 2020, target produksinya belum bisa tercapai. Setelah dilakukan penelitian dari proses mixing, compacting, sintering, sizing, machining dan selection dapat diketahui bahwa cycle time yang di butuhkan pada proses pembuatan rotor oil pumph adalah 86,625 detik dengan cycle time terpanjang pada proses selection yaitu 21,625 detik. Penelitian ini bertujuan untuk mengurangai kegiatan non value added yang dapat memperpendek cycle time dengan memberikan rekomendasi usulan perbaikan. Metode yang digunakan yaitu VSM (Value Stream Mapping) dan DMAIC (Define, Measure, Analyze, Improve, Control). Tahap Define mengidentifikasi masalah dengan current state mapping. Pada tahap Measure, mengidentifikasi kegiatan non value added sehingga dapat dilakukan perbaikan pada proses selection. Tahap Analyze mencari tahu bagaimana cycle time menjadi lama dengan menggunakan diagram fishbone. Pada tahap Improve hasil dari analisis diagram fishbone dilakukan perbaikan, terutama untuk penggabungan pengecekan thickness dan jig sehingga cycle time proses selection akan mengalami penurunan menjadi 19,55 detik. Berkurangnya cycle time berdampak pada effisiensi kapasitas yang meningkat dari 93% menjadi 104%.
ANALISIS CACAT MATERIAL JENIS SCALE PANEL DENGAN MENGGUNAKAN METODE SEVEN TOOLS Mutiara, Winda; Kholil, Muhammad
Journal of Management and Innovation Entrepreneurship (JMIE) Vol. 3 No. 1 (2025): Oktober
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70248/jmie.v3i1.2998

Abstract

PT. Elektronik ini bergerak di bidang manufaktur elektronik dan otomotif. Meminimalkan masalah kecacatan pada produk adalah salah satu cara untuk menjaga kualitas produknya. Cacat produk terjadi disebabkan karena cacat pada material yang digunakan. Tujuan dari penelitian ini adalah untuk mengidentifikasi penyebab cacat material. Pengolahan data dilakukan dengan menggunakan metode seven tools untuk menganalisis data tersebut. Data yang digunakan merupakan data material yang di terima dalam periode September 2023 hingga Februari 2024. Berdasarkan hasil inspeksi menunjukkan bahwa goresan adalah jenis cacat yang paling tinggi dengan total 39,9% dari total cacat yang ditemukan. Diagram Fishbone menunjukkan sumber masalah yang dapat menyebabkan cacat pada material, dan melakukan rencana perbaikan menggunakan 5W+1H untuk fokus mengatasi masalah paling sering terjadi dengan perhatian khusus pada dua aspek tersebut.
THE ENFORCEMENT OF THE LAND REGULATORY FRAMEWORK AGAINST ABANDONED AND ABSENTEE LAND Kholil, Muhammad; Hasmiati, Rahmatullah Ayu; Elviandri; Surahman
Awang Long Law Review Vol. 7 No. 2 (2025): Awang Long Law Review
Publisher : Sekolah Tinggi Ilmu Hukum Awang Long

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56301/awl.v7i2.1942

Abstract

This research is motivated by the increasing problem of abandoned land and absentee land, which indicates the ineffective enforcement of the land regulatory framework despite the comprehensive formulation of normative frameworks such as the Basic Agrarian Law (UUPA), Government Regulation No. 20 of 2021, and Regulation of the Minister of Agrarian Affairs and Spatial Planning/National Land Agency (BPN) No. 20 of 2021. Uncultivated land and agricultural land ownership by owners not domiciled in the area result in inefficient use of space, increase the risk of agrarian conflict, and reduce the social function of land, as seen in Jonggon Jaya Village. This research aims to analyze the effectiveness of land regulatory framework enforcement, identify legal and administrative factors that hinder the handling of abandoned land and absentee land, and formulate strategies and formulations for strengthening the legal framework that is more responsive to local agrarian dynamics. The method used was sociological juridical research, combining normative analysis of land regulations with empirical findings through interviews, field observations, and review of land administration documents. These were then analyzed using Lawrence M. Friedman's legal system theory (structure, substance, and legal culture). The research results indicated that weaknesses in law enforcement stem from weak institutional capacity, fragmentation of legal substance, the absence of objective parameters for determining abandoned land, and low community compliance with land management obligations. To address these issues, this study offered five innovative policy formulations: the formulation of the Integrated Land Utilization Index (IULT), the development of Conditional Management Rights, the implementation of an electronic domicile verification system (E-DOM), the establishment of a Local Land Activation Fund, and the implementation of digital, electronically proven administrative protocols. These findings emphasize that strengthening the land regulatory framework requires synergy between normative reform, modernization of the administrative system, and strengthening of the community's legal culture to achieve sustainable agrarian justice.
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 Digital Marketing bagi UMKM Migran Indonesia di Malaysia Menggunakan Kerangka 5A Kotler: Sebuah Program Pengabdian kepada Masyarakat Kholil, Muhammad; Suparno, Adizty
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.
UTILIZATION OF DIGITAL QUR'AN APPLICATIONS IN ISLAMIC RELIGIOUS EDUCATION LEARNING Rahman, Syaiful; Kholil, Muhammad
PROCEEDING OF INTERNATIONAL CONFERENCE ON EDUCATION, SOCIETY AND HUMANITY Vol 3, No 1 (2025): First International Conference on Education, Society and Humanity
Publisher : PROCEEDING OF INTERNATIONAL CONFERENCE ON EDUCATION, SOCIETY AND HUMANITY

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Abstract

The development of information and communication technology in the digital era has brought significant transformations in the field of education, including in Islamic Religious Education (PAI) learning. This study aims to describe the use of digital Qur’an applications as an innovation in Islamic Religious Education (PAI) learning and identify its impact on students' motivation and understanding of the Qur’an. This study uses a descriptive qualitative approach, with data collected through observation, interviews, and documentation involving teachers and students at a secondary school in Situbondo. The findings indicate that the use of digital Qur’an applications, such as Qur'an Kemenag and Muslim Pro, facilitates students in reading, listening, and understanding the meaning of Qur’anic verses interactively. Teachers also utilize digital interpretation and audio recitation features to enhance contextual and engaging learning experiences. However, challenges such as limited digital literacy and inadequate access to technological devices still hinder optimal implementation. This study concludes that the integration of digital Qur’an applications into PAI learning effectively supports the achievement of Islamic education goals, especially in strengthening students' spirituality, Qur’anic literacy, and moral character. It is recommended that digital literacy training be provided to Islamic Education teachers so that technology-based learning management can be more effective and sustainable. 
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.