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All Journal Journal of Engineering and Management in Industrial System Journal TEPAT: Teknologi Terapan untuk Pengabdian Masyarakat Journal of Industrial Engineering and Operation Management (JIEOM)
Nur Khaerani Busri
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Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Public Health

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Perencanaan Agregat Dengan Metode Forecasting Model ARIMA dan Agregat Planning Heuristik Indah, A. Besse Riyani; Aswal, A Haedir; Ikasari S, Diniary; Mangngenre, Saiful; Busri, Nur Khaerani; BJ, Muhammad Facheruddin
Journal of Industrial Engineering and Operation Management (JIEOM) Vol 8, No 2 (2025)
Publisher : Universitas Islam Kalimantan Muhammad Arsyad Al Banjari Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31602/jieom.v8i2.19969

Abstract

Perencanaan produksi yang optimal sangat penting untuk meningkatkan efisiensi operasional, khususnya di industri manufaktur yang menghadapi fluktuasi permintaan. Penelitian ini dilakukan di PT. Ciomas Adisatwa Maros dengan tujuan mengoptimalkan produksi menggunakan metode forecasting ARIMA dan strategi perencanaan agregat heuristik. Data historis permintaan McDonald’s (Mcd R) digunakan sebagai dasar peramalan, dengan model ARIMA (1,1,1) terpilih sebagai model terbaik. Tiga skenario perencanaan agregat dianalisis yaitu existing, pengendalian tenaga kerja, dan pengendalian overtime. Hasil menunjukkan bahwa skenario pengendalian overtime memberikan efisiensi biaya tertinggi dengan penghematan sebesar 21,37% dibandingkan skenario existing. Kombinasi ARIMA dan metode heuristik terbukti efektif dalam menghasilkan perencanaan produksi yang efisien tanpa mengurangi kapasitas produksi. Temuan ini menjadi acuan penting bagi perusahaan dalam menyusun strategi produksi yang adaptif terhadap perubahan permintaan dan berkontribusi dalam peningkatan daya saing industri pengolahan pangan.Kata Kunci:  Perencanaan Agregat, ARIMA, Forecasting, Optimalisasi Produksi, Efisiensi Biaya
ANALISIS KEPUASAN PELANGGAN TERHADAP LAYANAN PURNA JUAL AVANZA DENGAN METODE SERVQUAL DAN PGCV (Studi Kasus BPPT HADJI KALLA CABANG URIP MAKASSAR) Darmawan, Armin; Mulyadi, Mulyadi; Busri, Nur Khaerani
JEMIS (Journal of Engineering & Management in Industrial System) Vol. 2 No. 2 (2014)
Publisher : Industrial Engineering Department, Faculty of Engineering, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jemis.2014.002.02.3

Abstract

This research examine cutomer level of satisfaction at service and repair in Toyota Hadji Kalla that aim to determine attributes which are priorities at PGCV index analysis. Method used in this study is servqual. This method is a tool used to measure quality of service attribute of each dimension (tangible, reliability, responseiveness, emphaty, and assurance). So we get the value of gap from different value between perception and expectation in customer value. This research followed  by Potential Gain Customer Value (PGCV) method. Based on the survey results , the overall value of the average interest rate is 4.435 and the average value of the performance level is 3.924 , which means there is a gap between the service desired by the customer service received by 0.511 . By using PGCV index priority improvements to enhance the level of customer satisfaction is the availability of the quantity of automobile parts and components that meet the needs of customers , employees BPPT HK able to meet the delivery schedule of the vehicle as promised schedule , as well as employees of HK BPPT has properties polite , friendly , honest , and trustworthy.
Assistance for RM Riung Gunung Malino in Inventory Management for Sustainable Business A. Besse Riyani Indah; Dwi Handayani; Diniary Ikasari Syamsul; Syarifuddin M Parenreng; Saiful .; Rosmalina Hanafi; Muhammad Rusman; Muhammad Facheruddin BJ; Dian Pratiwi Sahar; Nur Khaerani Busri
JURNAL TEPAT : Teknologi Terapan untuk Pengabdian Masyarakat Vol 8 No 2 (2025): Collaboration for Accelerated Community Achievement
Publisher : Faculty of Engineering UNHAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25042/jurnal_tepat.v8i2.616

Abstract

RM Riung Gunung Malino, located in Gowa, faces a major challenge in inventory management, as stock recording of raw materials and products is still carried out manually, making it difficult to monitor inventory accurately. This issue leads to overstocking or stock shortages, which reduce operational efficiency. This community service program was implemented to provide solutions through intensive assistance in structured and applicable inventory management training. The solutions offered include the implementation of a digital stock recording system using the inventory module in the Odoo application, the development of a more systematic manual format based on the concepts of safety stock, Reorder Point (ROP), and Economic Order Quantity (EOQ), as well as regular stock monitoring training. The results of the program show an improvement in the partner’s understanding and skills in managing inventory, as evidenced by the ability to create more organized stock records, calculate raw material needs, and determine reorder points accurately. The implemented recording system has proven effective in reducing the risk of stockouts and overstocking, thereby increasing operational efficiency. In addition, the partner has become more confident in managing their business sustainably. Thus, this program provides a tangible contribution to enhancing the competitiveness of culinary MSMEs while promoting business sustainability through effective and measurable inventory management.
Co-Authors A. Besse Riyani Indah Armin Darmawan Aswal, A Haedir BJ, Muhammad Facheruddin Dian Pratiwi Sahar Diniary Ikasari Syamsul Dwi Handayani Fajri, Nofias Ikasari S, Diniary Mangngenre, Saiful Muhammad Facheruddin BJ Muhammad Rusman Mulyadi Mulyadi Riskawati Riskawati, Riskawati Rosmalina Hanafi Saiful . Syarifuddin M Parenreng