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All Journal 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) 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 Academia Open 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) Takuana: Jurnal Pendidikan, Sains, dan Humaniora Jurnal Karya Abdi Masyarakat Journal of Fish Health Innovative Technologica: Methodical Research Journal JOTECHS IJOT Widya Teknik
Tedjo Sukmono
Universitas Muhammadiyah Sidoarjo
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Other

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Forecasting the Amount of Blood Storage Using the Support Vector Machine (Svm) Method Novi Prastyanda Putra Pratama; Tedjo Sukmono
Procedia of Engineering and Life Science Vol 3 (2022): Proceedings of the 5th Seminar Nasional Sains 2022
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v3i0.1359

Abstract

Blood transfusion is a process of sending or transferring blood to another place and the task is delegated to the PMI Blood Donation Unit with several tasks including; deployment and preservation of blood donors, provision and processing of blood, and distribution of blood to health agencies. However, the supply and demand from health agencies have a significant difference. The difference for each blood group is very large, in group O deficiency by 28%, in group A deficiency by 38%, in group B excess by 28%, and in group AB deficiency by 84%. To overcome this problem, it is necessary to estimate the demand for blood that will occur in the future period. One of the tools that can answer this problem is demand forecasting and what will be used in this study is forecasting using the Support Vector Machine (SVM) method. This SVM method is a relatively new machine learning-based technique for making predictions, both used in classification and regression cases. The result of this study obtained good MAPE values, namely in blood group O is 14%, in blood group A is 15%, in blood group B is 13%, and in blood type AB is 24%.
Penentuan Optimalisasi Keuntungan Produksi Dengan Menggunakan Metode Dual Simplex Pada PT. Panggung Electric Citrabuana Alfian Fajar Gunawan; Ribangun Bamban Jakaria; Tedjo Sukmono; Boy Ismaputra
JTI: Jurnal Teknik Industri Vol 9, No 1 (2023): JUNI 2023
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v9i1.20481

Abstract

Dalam perkembangan yang pesat saat ini di Indonesia, organisasi dituntut untuk memiliki opsi untuk mengeksploitasi aset yang melimpah ini dalam sebuah organisasi terkait SDM, ventura, material. Dari sekian banyak aset yang dapat diakses, ini sangat kuat untuk koherensi pembentukan organisasi. Kesulitan yang sering muncul dalam proyek nonlinier, lebih spesifiknya perbedaan antara pendekatan dalam program nonlinier yang digunakan membuat tidak ada teknik yang luar biasa dalam menangani masalah program nonlinier. Ini beragam dalam pemrograman langsung, pemrograman langsung yang menggunakan beberapa teknik pemrograman langsung dapat memberikan hasil akhir yang serupa. Masalah dalam hipotesis kemajuan seharusnya nonlinier jika kapasitasnya nonlinier dan persyaratannya nonlinier atau lurus.Permasalahan nonlinear pada umumnya diselesaikan menggunakan teori-teori khusus dalam proses perhitungan, metode ini dapat dipergunakan untuk mencari titik optimal dari suatu fungsi dengan tidak memandang apakah fungsi tersebut linear atau nonlinear. Dalam program kuadrat, strategi ini digunakan untuk linierisasi kapasitas. Oleh karena itu, sangat menarik bahwa proyek kuadrat dapat ditangani dengan menggunakan metodologi lurus.Kata kunci: Nonlinier, Pemrograman, dual simpleks
Pengaruh Fasilitas Dan Harga Terhadap Kepuasan Konsumen Menggunakan Metode Structural Equation Modelling (Study Kasus di Cafe Wachito) Mochammad Imam Mashuri; Ribangun Bamban Jakaria; Tedjo Sukmono; Boy Ismaputra
JTI: Jurnal Teknik Industri Vol 9, No 1 (2023): JUNI 2023
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jti.v9i1.20433

Abstract

Dengan banyaknya bisnis kuliner yang menjamur, dimungkin tingkat persaingan yang terjadi sangatlah ketat. karena itu segala upaya dilakukan oleh pemilik dalam upaya mempertahankan pelanggan. karenanya memberikan sentuhan dengan memberi ciri setiap usaha serupakan suatu keniscaan. hal ini, agar usaha yang dijalankan memberikan kepuasan kepada pelanggan dan tidak berpindah. penelitian ini dilakukan di café wachito yang bertujuan untuk mengetahui tinggan kepuasan pelanggan terhadap harga, kualitas produk dan kualitas layanan. metode yang digunakan dengan mengguanakan Structural Equation Modeling (SEM). Hasil penelitian variabel Fasilitas dan Harga memberikan pengaruh yang positif secara signifikan sebesar 66.5% terhadap kepuasan konsumen pelanggan Wachito di Sidoarjo, nilai signifikansi. Artinya bahwa kepuasan pelanggan dan kepuasan pelanggan dapat diciptakan melalui harga, kualitas produk dan kualitas layanan. Sehingga kualitas pelayanan dan Mempengaruhi intensitas kunjungan yang lebih kuat sehingga peningkatan kualitas pelayanan harus berorientasi pada pelanggan. Kata kunci: Kepuasan, Loyalitas, harga, SEM
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.
Sand Supplier Selection Analysis Based on the Integration of Analytical Hierarchy Process (AHP) and Taguchi Quality Loss Function Methods: Analisa Pemilihan Supplier Pasir Berdasarkan Integrasi Metode Analytical Hierarchy Process (AHP) dan Taguchi Quality Loss Function Zahara Sofillauny; Hana Catur Wahyuni; Tedjo Sukmono; Boy Isma Putra
Indonesian Journal of Innovation Studies Vol. 21 (2023): January
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v21i.1043

Abstract

Supplier selection process is a step to evaluate and select the most suitable supplier to see the needs of the company or organization. This evaluation is important to ensure that the selected supplier is able to provide quality products or services, competitive prices, timely delivery, and meet ethical and sustainability standards. This research uses two methods, namely Analytical Hierarchy Process (AHP) and Taguchi Loss Function. AHP is used to calculate the weight of criteria, while the Taguchi Loss Function is used to estimate losses caused by suppliers. The criteria applied in supplier evaluation are quality criteria, product accuracy, delivery, price, warranty policy, and response to claims. The results obtained from this study PT. Bumi Makmur with a percentage loss of 21%, while the supplier that has the largest loss value is PT. Mergo Bopo with a percentage of 47%. Highlights : Integration of AHP and Taguchi Loss Function enhances supplier selection accuracy. Identified supplier exhibits substantial loss percentage, emphasizing the importance of thorough evaluation. Findings enable informed decision-making, facilitating risk mitigation and operational optimization Keywords :Supplier Evaluation; Sand; Analytical Hierarchy Process, Taguchi Loss Function
Fusing SVR with PSO Improves E-commerce Sales Prediction with 8.98% MAPE: Penggabungan SVR dengan PSO Meningkatkan Prediksi Penjualan E-commerce dengan MAPE 8,98% Fitrah Cornellya Angela; Tedjo Sukmono
Indonesian Journal of Innovation Studies Vol. 25 No. 2 (2024): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v25i2.1127

Abstract

This study explores the integration of Support Vector Regression (SVR) with Particle Swarm Optimization (PSO) to forecast clothing product sales at Nara Gallery Collection Boutique, addressing the challenge of achieving high forecast accuracy in e-commerce. Through literature review, direct observation, and interviews with a textile SME owner, SVR parameters are optimized using PSO. Results indicate a Mean Absolute Percentage Error (MAPE) value of 8.98% with optimized parameters (C = 34.3642, ε = 0.0110, σ = 0.3677, cLR = 0.1062, λ = 0.0117), enhancing decision-making in inventory management and strategic planning for e-commerce businesses. This research highlights the potential of integrating SVR with PSO for accurate sales forecasting and suggests avenues for further exploration in alternative forecasting methods and optimization techniques. Highlight: Enhanced Forecasting Accuracy: SVR and PSO integration improves e-commerce sales predictions. Parameter Optimization: PSO optimizes SVR parameters, reducing Mean Absolute Percentage Error. Strategic Inventory Management: Accurate forecasts aid in effective e-commerce inventory control. Keywoard: Support Vector Regression, Particle Swarm Optimization, Sales Forecasting, E-commerce, Inventory Management
Fuzzy Logic Optimizes Global Inventory Management: Logika Fuzzy Mengoptimalkan Manajemen Persediaan Global Dewi Nur Atika; Tedjo Sukmono
Indonesian Journal of Innovation Studies Vol. 25 No. 2 (2024): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v25i2.1131

Abstract

Inventory control is crucial for balancing customer demand and inventory levels, especially in make-to-order production systems like those in refrigeration manufacturing. This study addresses the challenges faced by a company producing sandwich panels, where inefficiencies in inventory processing led to overstock and outstock issues. By applying the fuzzy inventory control method using Python, the study aimed to optimize inventory levels. The results showed a 6% reduction in inventory, from 191,307 m² to 182,619.4627 m², demonstrating the method's effectiveness. This approach can improve inventory management in similar industrial settings, aligning production with demand and reducing excess inventory. Highlight: Efficiency Boost: Fuzzy logic optimizes inventory, minimizing overstock and outstock. Precise Management: Python aids accurate inventory analysis for informed decisions. Cost Savings: Aligning inventory with demand reduces excess, enhancing profitability. Keywoard: Inventory control, Fuzzy logic, Optimization, Production management, Industrial engineering
Indonesia's Breakthrough in Efficient Shellfish Cleaning Transforms Seafood Industry: Terobosan Indonesia dalam Pembersihan Kerang yang Efisien Mengubah Industri Makanan Laut Ari Rio De Setiawan; Ribangun Bamban Jakaria; Indah Apriliana Sari; Tedjo Sukmono
Indonesian Journal of Innovation Studies Vol. 25 No. 2 (2024): April
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v25i2.1133

Abstract

This research aims to design an efficient cleaning tool for bloody cockles to help business actors meet high demand with limited production systems. Conducted in Sidoarjo, data was collected from literature, government reports, and interviews with local business actors, revealing that manual processing of 50 kg of cockles takes 6-8 hours. Using the morphological method, several design concepts were evaluated for maintenance ease, performance, safety, and durability. The selected design (concept 3) showed the highest efficiency with a 37.5% score. This tool is expected to reduce cleaning time and improve outcomes, enhancing productivity and quality in the seafood processing industry. Highlight: Efficient Design: Reduces cleaning time from 6-8 hours significantly. High Demand: Meets increased consumer demand with limited resources. Optimal Concept: Concept 3 excels in maintenance, safety, and efficiency. Keywoard: Bloody Cockles, Cleaning Tool, Morphological Method, Efficiency, Seafood Processing
Indonesia's Breakthrough in Optimized Yarn Forecasting for Textile Demand Accuracy: Terobosan Indonesia dalam Peramalan Benang yang Dioptimalkan untuk Akurasi Permintaan Tekstil Lely Lindyawati; Indah Apriliana Sari W; Atikha Sidhi Cahyana; Tedjo Sukmono
Indonesian Journal of Innovation Studies Vol. 25 No. 3 (2024): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v25i3.1164

Abstract

PT. XY, a textile company specializing in woven sarongs, faces fluctuating demand during Islamic religious celebrations, impacting production. In Ramadhan 2023, production increased by 30%, but warp yarn availability was insufficient. This study forecasts warp yarn production over twelve periods, comparing Double Exponential Smoothing Holt’s (DES) and Holt-Winter’s Exponential Smoothing (WES) methods, optimized using the golden section method. Using historical data from January 2021 to April 2023, WES with golden section parameters (α1 = 0.67387, β1 = 0.08756, γ2 = 0.85408) achieved the best accuracy with a MAPE of 5.5437%. The WES method is recommended for improving production planning at PT. XY, with future research suggested to explore production correlations and procurement costs. Highlight: Demand Fluctuation: PT. XY experiences significant demand changes during Islamic religious celebrations. Forecasting Methods: Comparing DES and WES methods for predicting warp yarn production. Optimal Accuracy: WES with golden section optimization achieved the lowest MAPE of 5.5437%. Keywoard: Textile Industry, Warp yarn forecasting, Production Planning, Holt-Winter's method, Golden section optimization
Revolutionizing Crystal Guava Production through Six Sigma and Kaizen Insights: Merevolusi Produksi Jambu Kristal melalui Wawasan Six Sigma dan Kaizen Fajar Dwi Mauli; Atikha Sidhi Cahyana; Tedjo Sukmono; Ribangun Bamban Jakaria
Indonesian Journal of Innovation Studies Vol. 25 No. 3 (2024): July
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v25i3.1169

Abstract

This study addresses the quality issues in crystal guava production at UD Bumiaji Sejahtera using the Six Sigma and Kaizen methodologies. By analyzing factors like non-uniform maturity, black spots, fruit rot, shape defects, and seed defects, this research aims to identify key areas for improvement. Results indicate that non-uniform maturity contributes significantly to defects, highlighting the need for improved pest control, efficient application methods, regular maintenance, material inspection, and enhanced standards for farmers and agricultural workers. These findings offer practical insights for enhancing crystal guava production quality and reducing defects at UD Bumiaji Sejahtera. Highlight: Six Sigma and Kaizen for Crystal Guava Quality Enhancement. Non-uniform Maturity Identified as Key Defect Contributor. Recommendations: Improved Pest Control, Application Methods, and Standards for Farmers. Keyword: Crystal Guava Production, Six Sigma, Kaizen, Quality Improvement, Defect Reduction
Co-Authors Abdul Rohman Abdul Rohman Adinda Chamilia Mishani Adistyas Nastiti, Octavia Afrilia, Riska Ahmad Fikri Ardianto Alfian Fajar Gunawan Ali Sadikin Amatullah, Dhiny Ari Rio De Setiawan Asni Johari Atikha Sidhi Cahyana Atikha Sidhi Cahyana Boy Isma Putra Dawam Suprayogi Devira Kusuma Wardhani Dewi Nur Atika Dikril Ilham Syaifullah Diwanti Faradiba, Nabila Dristiana, Fila Dwi Kakung Saputro Dzati Fauziyah Erwin Widiantono Fajar Dwi Mauli Fila Dristiana Fitrah Cornellya Angela Gusti Nurina Azhariani Hadian, Mohammad Ekki Hafizah, Mutia Hana Catur Wahyuni Harlis Harlis Hartanti, Lusia Permata Sari Hery Murnawan, Hery Ihsan, Mahya Indah Apriliana Sari Indah Apriliana Sari W Indah Apriliana Sari Wulandari Jamaluddin Jamaluddin Khairatinisa, Khairatinisa Krisna Risky Putra Irawan Leksono, Rudy Bowo Lely Lindyawati M.Haris Efendi Hsb Marodiyah, Inggit Meisya Azzahra Rachman Mochammad Imam Mashuri Mohammad Buchori Much Syafiudin Muhammad Arizki Zainul Ramadhan Muhammad Dio Dwi Septian Mukhammad Surya Lesmana Muswita Muswita Nafis Khumaidah Natalia, Desfaur Novi Prastyanda Putra Pratama Nugraha, A. Prima Nugroho, Dizsa Arliansyah Nurma M. Hidayatulloh Octavia Adistyas Nastiti Putra, Tri Syukria Putri, Andini Faizatul Putri, Melinda Aprilia Radiana Atika Sari Rasyid, Mohammad Andi Ribangun Bamban Jakaria Rizky Janatul Magwa Rudy Bowo Leksono Salsabila, Nisrina Sanjaya, Muhammad Erick Saputra, Nur Qomaruddin Sari Wulandari, Indah Apriliana Sigit Wahono sisiliani, fitria trisna Suhadak Tia Wulandari Upik Yelianti Utomo, Pradita Eko Prasetyo Varid Jainuri Wahono, Sigit Wahyu Nugroho Wahyu Setiawan, Ardhi Wijatmiko, Erie Fadma Noer Fitriana Winda Dwi Kartika, Winda Dwi Wiwik Puji Lestari Wiwik Sulistiyowati Wulandari, Indah Apriliana Sari Yoppie Wulanda Yusuf Effri Prastyo Budi Zahara Sofillauny