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All Journal SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan EduReligia : Jurnal Pendidikan Agama Islam IDENTIFIKASI: Jurnal Ilmiah Keselamatan, Kesehatan Kerja dan Lindungan Lingkungan INTI Nusa Mandiri 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) ARZUSIN: Jurnal Manajemen dan Pendidikan Dasar Madani: Multidisciplinary Scientific Journal Managere: Indonesian Journal of Educational Management Journal of Information System, Technology and Engineering Equiva
Muhammad Kholil
Program Studi Teknik Industri, 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 Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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Analisis Pemborosan Menggunakan Waste Assessment Model (WAM) pada Proses Penyediaan Unit pada Distributor Perdagangan Marsudin, Ahmad; Kholil, Muhammad
Industrika : Jurnal Ilmiah Teknik Industri Vol. 9 No. 2 (2025): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/indstrk.v9i2.1706

Abstract

The distribution company for agricultural, construction, and infrastructure equipment is experiencing delays in the supply of units, which can lead to resource depletion and potentially cause customer loss. Supply delays represent a form of waste that must be eliminated. This study aims to identify the causes of the delays using the waste assessment model approach. Data was collected through questionnaires and interviews conducted with assembly supervisors and team leaders. Data processing utilized the waste assessment model, which consists of the waste relationship matrix (WRM) and the waste assessment questionnaire (WAQ). The WRM results indicated a strong correlation between defects, processes, overproduction, and inventory, while the WAQ results showed the largest waste occurred in inventory, motion, and waiting. The highest waste in this study was identified as defects, inventory, and motion. The results of this research are expected to provide effective recommendations to reduce supply delays and improve the company's operational efficiency. Consequently, the company can maintain and even enhance customer satisfaction, as well as optimize the distribution process of agricultural, construction, and infrastructure equipment. Keywords: Distributor, Supply Delays, Waste, WAM
Indonesia HIMPUNAN SOFT FUZZY TRAPESIUM PADA PENGAMBILAN KEPUTUSAN: Fungsi Trapesium Himpunan Fuzzy Soft dalam pengambilan keputusan Kholil, Muhammad
Equiva Journal Vol 2 No 2 (2024):
Publisher : Jurusan Matematika dan Teknologi Informasi

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

Abstract

This research introduces the concept of trapezoidal fuzzy soft sets as a new approach to decision-making under uncertain conditions. By combining the principles of soft set theory and fuzzy set theory, particularly trapezoidal fuzzy numbers, this concept enables a more objective representation of linguistic judgment. This research defines the basic operations, including complement, “AND,” and “OR,” in trapezoidal fuzzy soft sets and formulates a decision-making algorithm that incorporates weighted normalization and positive/negative ideal fuzzy objects. The approach is applied to Multi-Criteria Decision Making (MCDM) problems under fuzzy conditions, comparing it with traditional methods. Through detailed examples and theoretical proofs, this research demonstrates the advantages of trapezoidal fuzzy soft sets in capturing linguistic ambiguity and improving decision-making accuracy. Translated with DeepL.com (free version)
Analisis Pengaruh Kualitas Konten Promosi Digital, Harga dan Customer Experience Terhadap Purchase Intention Produk Preloved Aguilika, Deykha; Ibrahim, Mozart Malik; Kholil, Muhammad; Violin, Vivid; Ulimaz, Almira
JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi) Vol. 11 No. 3 (2025): Juni 2025
Publisher : Sekretariat Pusat Lembaga Komunitas Informasi Teknologi Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jemsi.v11i3.4117

Abstract

This study aims to analyze the effect of digital promotional content quality, price, and customer experience on purchase intention of preloved products. There is a growing market for pre-owned goods due to the fact that they are both economically beneficial and environmentally friendly. To increase the likelihood that a consumer will make a purchase, digital marketers rely on two factors: the attractiveness of promotional content and the availability of competitive prices and excellent customer service. An online poll was used to collect quantitative data from one hundred people who have shopped for used goods through various marketplaces and social media. Linear regression analyses were performed on the data. The study found that factors such as pricing, customer service, and the quality of digital promotional content significantly impact the inclination to buy used products. In order to enhance their digital marketing tactics, preloved company actors can put these results into practice. By optimizing the visual quality and information of promotional content, setting appropriate prices, and creating a pleasant customer experience, business actors can increase consumer appeal and loyalty to preloved products. This study also opens up opportunities for further research on other factors that can influence purchase intention in the preloved industry.
Implementasi sistem e-MagInd untuk meningkatkan mutu manajemen praktik kerja lapangan kelas unggulan di SMK Adi Sumarmo Husnaini, Azizah Nurul; Sidik, Rasyid; Kholil, Muhammad
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 9, No 5 (2025): September (In Progress)
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v9i5.33976

Abstract

Abstrak Manajemen Praktik Kerja Lapangan (PKL) di SMK Adi Sumarmo masih dilakukan secara manual, mulai dari pendataan siswa, penempatan lokasi PKL, pembuatan laporan PKL, dan pengisian kegiatan harian PKL. Proses manual ini menimbulkan beberapa kendala, seperti lambatnya akses data, potensi kesalahan pencatatan, sulitnya pemantauan kegiatan, menurunnya kedisiplinan, dan rendahnya motivasi siswa. Berdasarkan permasalahan tersebut, pengabdian ini bertujuan untuk menerapkan sistem elektronik magang industri (e-MagInd) guna meningkatkan efisiensi dan mutu manajamen PKL. Proses implementasi sistem tersebut telah melalui beberapa tahapan meliputi analisis kebutuhan, perancangan dan pengembangan sistem, uji kelayakan, serta pelatihan bagi guru dan siswa. Sistem e-MagInd mampu meningkatkan produktivitas, mendukung ketertiban siswa, memudahkan guru dalam membimbing dan memantau kegiatan, serta mengukur capaian ketrampilan siswa. Hasil implementasi memberikan dampak modernisasi dalam pengelolaan data dan dukungan manajemen kegiatan PKL yang berbasis IT di sekolah mitra. Pemanfaatan sistem ini diharapkan dapat mendukung pengelolaan PKL yang berkelanjutan dan menjadi model bagi pengembang sistem serupa di sekolah lain. Kata kunci: E-magind; sistem; teknologi; prakik kerja lapangan; pengabdian. Abstrak The management of internships at SMK Adi Sumarmo is still done manually, from data collection of students, placement of internship locations, creation of internship reports, to filling in daily internship activities. This manual process leads to several issues, such as slow data access, potential recording errors, difficulties monitoring activities, declining discipline, and low student motivation. Based on these issues, this service aims to implement an electronic industrial internship system (e-MagInd) to improve the efficiency and quality of internship management. The implementation process of this system has gone through several stages, including needs analysis, system design and development, feasibility testing, and training for teachers and students. The e-MagInd system can improve productivity, support student discipline, facilitate teachers in guiding and monitoring activities, as well as measure student skill achievements. The results of the implementation provide a modernisation impact on data management and IT-based support for extracurricular management in partner schools. The utilisation of this system is expected to support sustainable internship management and serve as a model for developing similar systems in other schools. Keywords: E-magind; system; technology; internship; community service.
Evaluating DRP Implementation for 3 KG LPG Distribution Efficiency Firdaus, Alfa; Kholil, Muhammad; Riadi, Selamat; Hidayat, Atep Afia; Almahdy, Indra
Journal of Information System, Technology and Engineering Vol. 3 No. 3 (2025): JISTE
Publisher : Yayasan Gema Bina Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61487/jiste.v3i3.186

Abstract

This study evaluates the effectiveness of Distribution Requirements Planning (DRP) integrated with ARIMA time series forecasting to support delivery scheduling decisions and the determination of minimum inventory levels. As a representative case study, a 60-month sales series of Ultra-Pure Water was used to simulate fluctuating retail demand across the agent–depot network. The Augmented Dickey–Fuller test confirmed stationarity (p = 0.0142), allowing candidate ARIMA (p, 0, q) models to be evaluated using ACF/PACF and information criteria. The best model was ARIMA (1,0,1), which had the lowest Akaike Information Criterion and passed diagnostic tests (normal residuals, no autocorrelation, no heteroscedasticity), making it suitable for operational forecasting. Projection results indicated a stable demand pattern and yielded a safety stock threshold of 733.24 units/month (equivalent to 24.44 units/day) as a reference for inventory control. These findings demonstrate that the DRP–ARIMA integration can enhance supply reliability and distribution efficiency, particularly for subsidized goods such as 3 kg LPG, with practical implications for determining adaptive inventory levels, delivery routes and frequency, and upstream–downstream coordination. Theoretically, this study provides additional empirical evidence on the use of quantitative forecasting models to operationalize DRP in the energy sector, while also providing a foundation for replication in other critical commodities.
Improving Surface Finish Quality of Plastic Molds via VSM and DMAIC Integration Kholil, Muhammad; Hidayat, Syarif; Firdaus, Alfa
Journal of Information System, Technology and Engineering Vol. 3 No. 3 (2025): JISTE
Publisher : Yayasan Gema Bina Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61487/jiste.v3i3.187

Abstract

The rapid growth of manufacturing demands continuous process improvement. This study examines a plastic manufacturing company’s Mouldshop, which has not met performance targets an average lead time of 52 days (target 50 days) and a 75% success rate (target 93%) and struggles to achieve the desired surface finish quality of plastic molds. An integrated Value Stream Mapping (VSM) and Six Sigma DMAIC approach is applied to visualize end-to-end process flows (VA/NNVA/NVA), quantify performance gaps, analyze root causes (Fishbone with the 4M Man, Machine, Material, Method), and design improvements. VSM reveals three dominant wastes defects, inappropriate processing, and waiting linked to six critical failure causes spanning operator capability and discipline; overloaded schedules, equipment failures, machining errors, temperature control, and precision instability; material selection and procurement delays; and shortcomings in work- instruction compliance, machining parameters, drawing completeness, and standardized process flow. Using 5W+1H within DMAIC, the study proposes: standardized machining instructions and setup times; preventive- maintenance schedules and checklists; incoming verification with PIC accountability; structured training; mold quality checklists; weekly 5S/5R audits; and Future State Mapping to reduce NNVA/NVA. The integrated DMAIC–VSM roadmap is expected to shorten lead time, raise the value-added ratio, and improve surface finish quality, offering a transferable blueprint for similar manufacturing operations.
Co-Authors Abdulghani, Naser Ali Ade Arviani Nurul Gadissa, Ade Arviani Nurul Agus R, Abu Hasan Alfa Firdaus Almira Ulimaz Atep Afia Hidayat Aunullah, Indi Danar Susilo Wijayanto Deykha Aguilika Dwi Aji Santoso, Dwi Aji Euis Nina Saparina Yuliani, Euis Nina Saparina Fuada, Shofiya Haekal, Jakfat Hasbullah Hasbullah Herman Dwi Surjono Herminarto Sofyan Husnaini, Azizah Nurul Ibrahim, Mozart Malik Ida Ayu Putu Sri Widnyani Indra Almahdy, Indra Indrarespati, Rifaldy Joko Joko S., Joko Kartika, Hayu Komeyni Rusba Lebinner Sinaga Luqmantoro, Luqmantoro Marsudin, Ahmad Muhamad Ramdan, Muhamad Ngatou Rohman Nurato Nurato, Nurato Nurul Husnaini, Azizah Peggy Hariwan, Peggy Rofiqi, Rofiqi Rudini Mulya, Rudini Salim, Muhammad Bayu Sari, Dian Purwanti Selamat Riadi Setia Bakti, Candra Setianingrum, Ajeng Yeni Sidik, Rasyid Sonny Koeswara Suhermanto, Suhermanto Syarif Hidayat Syarifuddin Syarifuddin Syivarulli, Riina Tri Pambudi, Tri Violin, Vivid Windari, Samsi Elvia Zulfa Fitri Ikatrinasari