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All Journal Biospecies AL KAUNIYAH SPEKTRUM INDUSTRI TEKMAPRO Journal of Industrial Engineering and Management Inspiratif Pendidikan OPERATION EXCELLENCE: Journal of Applied Industrial Engineering PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Jurnal Penelitian Pendidikan IPA (JPPIPA) JATI UNIK : Jurnal Ilmiah Teknik dan Manajemen Industri Jurnal Teknik Industri : Jurnal Hasil Penelitian dan Karya Ilmiah dalam Bidang Teknik Industri Metode : Jurnal Teknik Industri Jurnal Biologi Tropis Tibuana : Journal of Applied Industrial Engineering Industri Inovatif : Jurnal Teknik Industri Matrik : Jurnal Manajemen dan Teknik Industri Produksi Dedikasi: Jurnal Pengabdian Masyarakat Community Development Journal: Jurnal Pengabdian Masyarakat Indonesian Journal of Law and Economics Review Jurnal Senopati : Sustainability, Ergonomics, Optimization, and Application of Industrial Engineering Indonesian Journal of Innovation Studies BIOMA : Jurnal Biologi dan Pembelajarannya Jurnal Pengabdian Masyarakat Akademisi PELS (Procedia of Engineering and Life Science) Jurnal Teknologi dan Manajemen Industri Terapan Takuana: Jurnal Pendidikan, Sains, dan Humaniora Jurnal Karya Abdi Masyarakat Journal of Fish Health MIMBAR INTEGRITAS Jurnal Pengabdian Masyarakat Pinang Masak Innovative Technologica: Methodical Research Journal Physical Sciences, Life Science and Engineering Journal for Technology and Science IJOT Widya Teknik Academia Open
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EOQ Application Reduces PAC Inventory Cost in Water Treatment: Penerapan EOQ Mengurangi Biaya Persediaan PAC dalam Pengolahan Air Faradiba, Vanisa Reyhan; Sukmono, Tedjo
Indonesian Journal of Innovation Studies Vol. 26 No. 4 (2025): October
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i4.2120

Abstract

General Background Inventory control plays a critical role in ensuring operational efficiency in water treatment systems. Specific Background Poly Aluminium Chloride (PAC) is a key chemical used in PDAM operations, requiring proper inventory management to avoid shortages and excessive costs. Knowledge Gap However, existing ordering policies often rely on frequent purchases without optimal cost considerations. Aims This study aims to analyze PAC inventory control using the Economic Order Quantity (EOQ) method to determine optimal ordering quantity and minimize total costs. Results The findings show that the optimal order quantity is 151,669.56 kg with an ordering frequency of 4 times per year, compared to 48 times under the company policy. Total inventory cost decreases from Rp54,287,987.83 to Rp7,886,816.84, resulting in significant cost savings. Safety stock is calculated at 10,199 kg and reorder point at 20,398 kg. Novelty This study applies EOQ analysis to PAC inventory in a water treatment context using real operational data. Implications The results provide a practical approach for improving inventory efficiency and reducing operational costs in water treatment companies. Keywords: Economic Order Quantity, Inventory Control, PAC Chemical, Water Treatment, Cost Optimization Key Findings Highlights Optimal order size significantly larger than current practice Ordering frequency reduced from monthly to quarterly pattern Inventory cost shows substantial reduction after method application
Line Balancing Optimization in Shoe Finishing Production Systems: Optimasi Keseimbangan Jalur dalam Sistem Produksi Penyelesaian Sepatu Cahyaningurm, Rista Dwi; Sukmono, Tedjo
Indonesian Journal of Innovation Studies Vol. 26 No. 4 (2025): October
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i4.2122

Abstract

General Background: Manufacturing systems often face inefficiencies due to unbalanced workloads across workstations, particularly in labor-intensive industries such as shoe production. Specific Background: In the finishing process of a shoe manufacturing company, production targets were not achieved due to bottlenecks in the creaming brushing process, where operation time exceeded the cycle time of 1.215 minutes. Knowledge Gap: Previous applications of line balancing methods have not sufficiently addressed workload imbalance in finishing lines with complex task distributions. Aims: This study aims to optimize the production line by applying the Largest Candidate Rule (LCR) and Region Approach (RA) methods to improve efficiency and workload distribution. Results: The findings show that both methods significantly improve performance, increasing line efficiency to 81.73%, reducing balance delay to 18.27%, and decreasing idle time to 1.998 minutes, while reducing the number of workstations from 15 to 9. Novelty: The study provides a comparative application of LCR and RA methods within a real shoe production finishing line and identifies layout considerations as a determining factor in method selection. Implications: The results suggest that implementing appropriate line balancing methods can support production target achievement and improve operational efficiency in manufacturing systems. Keywords: Line Balancing, Production Systems, Largest Candidate Rule, Region Approach, Workstation Optimization Key Findings Highlights Workstation reduction achieved through task redistribution across production stages Idle time minimized alongside improved workload allocation consistency Layout-based selection supports practical implementation of balancing methods
Effectiveness of CAD-CAM Application for the Development design and implementation of maintenance tools Yusuf Effri Prastyo Budi; Tedjo Sukmono
Jurnal Penelitian Pendidikan IPA Vol 9 No 9 (2023): September
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i9.4859

Abstract

This study aims to evaluate the effectiveness of using Computer-Aided Design and Computer-Aided Manufacturing (CAD-CAM) applications in developing the design and implementation of maintenance tools. The use of CAD-CAM has become a major trend in the modern manufacturing industry because it provides various advantages such as time efficiency, high precision and increased productivity. However, it is important to assess the true effectiveness of this technology in the context of maintenance tool development to fully understand its potential benefits. The literature review analysis method was used to compile an in-depth review of the latest research and publications related to the use of CAD-CAM in the design development and implementation of maintenance tools. A number of case studies and field experiments were also included in the analysis to provide further insight into the application of this technology in various industrial environments. The results of the analysis show that the use of CAD-CAM in the development of maintenance tool designs has brought significant positive changes. This application is able to reduce development cycle time, enable model-based engineering, and improve modeling accuracy. Apart from that, CAD-CAM also facilitates better collaboration between design teams, engineers and other stakeholders, which contributes to improving the quality of the final product. However, despite the many benefits offered by CAD-CAM, there are also challenges that need to be overcome to increase the effectiveness of its use. Some of these are high initial investment costs, the need for higher technical skills, and complex integration with existing infrastructure. In conclusion, CAD-CAM has proven effective in developing the design and implementation of maintenance tools. With this technology, companies can increase operational efficiency, improve product quality, and gain a competitive advantage in the market. By understanding the benefits and challenges of its use, professionals can more effectively adopt CAD-CAM and fully exploit its potential in the modern manufacturing industry.
Pengendalian Persediaan Tray dalam Mempertimbangkan Perencanaan Produksi Menggunakan Metode Fuzzy Logic Mamdani Mukhammad Rifky Ramadhan; Tedjo Sukmono
Physical Sciences, Life Science and Engineering Vol. 3 No. 2 (2026): March
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/pslse.v3i2.652

Abstract

Perusahaan harus memiliki pengendalian persediaan dalam menjaga persediaan barang agar dapat berjalan dengan lancar sehingga rencana atau target perusahaan dapat tecapai. Pada perusahaan tray mengalami masalah penumpukan barang hingga 19% dan biaya penyimpanan yang tinggi dalam mengelola persediaan terjadi karena permintaan yang tidak menentukan. Tujuan dalam penelitian ini adalah mengoptimalkan persediaan untuk mencegah kelebihan dan kekurangan stok pada perusahaan tray sehingga dapat meminimalkan potensi kerugian, sehingga dibutuhkan metode yang tepat dalam mengatasi ketidakpastian permintaan yang akan datang dengan tujuan tidak terjadinya masalah dalam persediaan. Penelitian ini menerapkan metode fuzzy mamdani, yang dikenal sebagai salah satu teknik yang menyediakan pendekatan adaptif dalam mengatasi ketidakpastian dan ketidakjelasan dalam data untuk pengambilan keputusan, memungkinkan penggunaan variabel linguistik dan aturan yang dapat diadaptasi untuk menghasilkan keputusan yang lebih akurat dan kontekstual. Hasil dari perhitungan fuzzy mamdani menggunakan aplikasi matlab dapat menurunkan persediaan berlebih dengan persediaan awal 3788 sedangkan hasil optimal implementasi fuzzy logic sebesar 3282, sementara jumlah permintaan tercatat sebanyak 3190. Meskipun terdapat tingkat kesalahan sebesar 25,83575%. Hasil ini termasuk dalam katergori cukup baik dalam menentukan jumlah persediaan terhadap permintaan
Peramalan Permintaan dengan Menerapkan Metode Autoregressive Integrated Moving Average (ARIMA) pada Industri Beton Naufalut Tharif Qurniawan; Tedjo Sukmono
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 1 No. 3 (2022): Jurnal Teknologi dan Manajemen Industri Terapan
Publisher : Yayasan Inovasi Kemajuan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55826/jtmit.v4i3.1117

Abstract

PT. Varia Usaha Beton menghadapi fluktuasi permintaan produk beton yang berdampak pada ketersediaan stok, sehingga diperlukan metode peramalan yang akurat untuk mendukung perencanaan produksi. Penelitian ini bertujuan untuk meramalkan permintaan beton masonry dengan menerapkan metode Autoregressive Integrated Moving Average (ARIMA). Data yang digunakan berupa penjualan periode Januari 2023 hingga Desember 2024, yang kemudian dianalisis melalui tahapan uji stasioneritas, identifikasi model menggunakan ACF dan PACF, estimasi parameter, serta evaluasi model berdasarkan Mean Square Error (MSE) dan uji normalitas residual. Hasil penelitian menunjukkan bahwa model ARIMA (1,0,1) merupakan model terbaik dengan nilai MSE terkecil sebesar 1,06488 dan residual yang terdistribusi normal (p-value 0,150 > 0,05). Dengan demikian, metode ARIMA (1,0,1) terbukti efektif untuk memprediksi permintaan beton masonry dan dapat digunakan sebagai dasar dalam perencanaan produksi serta pengendalian persediaan secara lebih akurat dan efisien
Co-Authors Abdul Rohman Abdul Rohman Adistyas Nastiti, Octavia Afreni Hamidah Afrilia, Riska Agus Subagyo Ahmad Fikri Ardianto Alfian Fajar Gunawan Ali Mashar Ali Sadikin Amatullah, Dhiny Angela, Fitrah Cornellya Apriliana Sari Wulandari, Indah Arba, Risqi Mutia Asni Johari Azhari, Asri Bambang Haryadi Benedika Ferdian Hutabarat Boy Isma Putra Cahyana , Atikha Sidhi Cahyaningurm, Rista Dwi Dani Sartika Dawam Suprayogi Diwanti Faradiba, Nabila Dristiana, Fila Dwi Kakung Saputro Dzati Fauziyah Erwin Widiantono Faradiba, Vanisa Reyhan Fikrianto, Muhammad Hafid Fila Dristiana Gusti Nurina Azhariani Hadian, Mohammad Ekki Hafizah, Mutia Hana Catur Wahyuni Harlis Harlis Hartanti, Lusia Permata Sari Hery Murnawan, Hery Ihsan, Mahya Jamaluddin Jamaluddin Khairatinisa, Khairatinisa Krisna Risky Putra Irawan Leksono, Rudy Bowo Lestari, Wiwik Puji Lindyawati, Lely M.Haris Efendi Hsb Mardhotillah, Bunga Marodiyah, Inggit Mauli, Fajar Dwi Mishani, Adinda Chamilia Mochammad Imam Mashuri Mohammad Buchori Much Syafiudin Muhammad Arizki Zainul Ramadhan Muhammad Dio Dwi Septian Mukhammad Rifky Ramadhan Mukhammad Surya Lesmana Muswita Muswita Nafis Khumaidah Natalia, Desfaur Naufalut Tharif Qurniawan Nazifa, Boti Iffa Novi Prastyanda Putra Pratama Nugraha, A. Prima Nugroho, Dizsa Arliansyah Nurma M. Hidayatulloh Octavia Adistyas Nastiti Pangestu, Retno Putra, Tri Syukria Putri, Andini Faizatul Putri, Melinda Aprilia Rachman, Meisya Azzahra Radiana Atika Sari Rany Riyantati, Dena Rasyid, Mohammad Andi Ribangun Bamban Jakaria Rizky Janatul Magwa Rudy Bowo Leksono Salsabila, Nisrina SANDI KURNIAWAN Sanjaya, Muhammad Erick Saputra, Nur Qomaruddin Sari , Indah Apriliana Sari W, Indah Apriliana Sari Wulandari, Indah Apriliana Setiawan, Ardhi Wahyu Setiawan, Ari Rio De Sigit Wahono sisiliani, fitria trisna Sofillauny, Zahara Suhadak Sulistiono Suzanti, Sriliah Syaifullah, Dikril Ilham Tia Wulandari Upik Yelianti Utomo, Pradita Eko Prasetyo Varid Jainuri Wahono, Sigit Wahyu Nugroho Wahyu Setiawan, Ardhi Wardhani, Devira Kusuma Wawan Kurniawan Wijatmiko, Erie Fadma Noer Fitriana Winda Dwi Kartika, Winda Dwi Wiwik Sulistiyowati Wulandari, Indah Apriliana Sari Yoppie Wulanda Yusuf Effri Prastyo Budi Zurweni Zurweni