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All Journal TEKMAPRO Journal of Industrial Engineering and Management JURNAL PASTI (PENELITIAN DAN APLIKASI SISTEM DAN TEKNIK INDUSTRI) OPERATION EXCELLENCE: Journal of Applied Industrial Engineering Briliant: Jurnal Riset dan Konseptual Jurnal Bisnis dan Manajemen PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Journal of Research and Technology EKONOMIS : Journal of Economics and Business Tibuana : Journal of Applied Industrial Engineering Jurnal INTECH Teknik Industri Universitas Serang Raya MIND (Multimedia Artificial Intelligent Networking Database) Journal Jurnal Pengabdian Al-Ikhlas JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI International Journal of Economics Development Research (IJEDR) Nusantara Science and Technology Proceedings International Journal of Eco-Innovation in Science and Engineering (IJEISE) Indonesian Journal of Industrial Engineering & Management Juminten : Jurnal Manajemen Industri dan Teknologi Journal La Multiapp Jurnal Algoritma Journal of Scientech Research and Development Student Scientific Creativity Journal Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS IIJSE The Indonesian Journal of Computer Science Jurnal Abdimas Peradaban Manufaktur: Publikasi Sub Rumpun Ilmu Keteknikan Industri Venus: Jurnal Publikasi Rumpun Ilmu Teknik INOVTEK Polbeng - Seri Informatika
Dwi Sukma Donoriyanto
Universitas Pembangunan Nasional Veteran Jawa Timur
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Transportation

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Defect Repair Efforts in Bone Plate Product Quality Control Using Six Sigma (Case Study: PT ABC) Farrel Azriel Septrianto; Dwi Sukma Donoriyanto
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 8 No 1 (2025): Sharia Economics
Publisher : Universitas KH. Abdul Chalim Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/iijse.v8i1.5774

Abstract

This study aims to identify and reduce Bone Plate product defects at PT Risa Implantama, a domestic orthopedic and traumatology implant manufacturer. Using Six Sigma methodology, this research applies the DMAIC (Define, Measure, Analyze, Improve, and Control) stages to analyze Bone Plate production data from January to December 2023. The analysis results show that the most dominant defect is in the hole diameter with a total of 114 defects. The resulting DPMO (Defects Per Million Opportunities) value is 7474, with an average sigma level of 3,94. Proposed improvements include improving raw material quality control, operator training, and routine machine maintenance to improve product quality and approach the Sigma level 6 target.
Analysis of the Effect of Service Quality on User Satisfaction of McDonald's Application Using E-Servqual and Importance Performance Analysis (IPA) Methods Indah Yansi Nofianto; Dwi Sukma Donoriyanto
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 8 No 3 (2025): Sharia Economics
Publisher : Universitas KH. Abdul Chalim Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/iijse.v8i3.6531

Abstract

The rapid expansion of digital services has intensified competition in the online food delivery (OFD) industry, pushing businesses to enhance service quality to meet customer expectations. This study evaluates the McDonald's mobile application using the E-SERVQUAL model and Importance Performance Analysis (IPA) to examine the link between service quality dimensions and user satisfaction. A quantitative approach was used, with data collected from McDonald's app users in Indonesia through online questionnaires. The findings highlight that responsiveness, reliability, and system efficiency are critical factors affecting customer satisfaction, while application security, transaction smoothness, and system responsiveness require improvement. Based on the results, recommendations were proposed to enhance system stability, security features, and user interface design, ultimately aiming to increase customer satisfaction and loyalty in the competitive digital food service market.
Optimizing the Goods Distribution Process with a Lean Distribution Approach CV Anugerah Hasil Abadi Achmad Gufron; Dwi Sukma Donoriyanto
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 9 No 1 (2026): Sharia Economics
Publisher : Universitas KH. Abdul Chalim Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/iijse.v9i1.6532

Abstract

In the distribution industry, operational efficiency is essential to improve competitiveness and customer satisfaction. This study aims to optimize the distribution process of goods at CV Anugerah Hasil Abadi by implementing the Lean Distribution approach. The Value Stream Mapping (VSM) method is used to identify major waste in the distribution process, while the 5 Whys method is used to find the causes. The results of the study showed five activities with the highest time waste, namely storing goods in the warehouse (1440 minutes), loading goods into trucks (180 minutes), the process of unloading goods from trucks (180 minutes), checking goods according to sales orders (34 minutes), and the manager's signature process (30 minutes). The implementation of improvement solutions, such as the use of a warehouse management system (WMS), investment in loading and unloading equipment, and process digitalization, succeeded in reducing distribution time by 720 minutes, from 4260 minutes to 3540 minutes. In addition, the Process Cycle Efficiency (PCE) increased from 49.91% to 60.06%. These results prove that the implementation of Lean Distribution can improve operational efficiency and reduce waste in the distribution process.
Optimizing the Inventory Fulfillment Level of Store Goods from PT. XYZ Warehouse with the Application of Response Surface Methodology Ardyani, Anggarnis Dwikalyana; Donoriyanto, Dwi Sukma
Operations Excellence: Journal of Applied Industrial Engineering Vol. 17 No. 3 November 2025 In Press
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/oe.2025.v17.i3.154

Abstract

Inventory management in retail warehouses is increasingly challenged by demand volatility and supplier lead time uncertainty. Conventional inventory approaches such as EOQ or min–max control often fail to capture the simultaneous interaction among multiple operational factors, resulting in stock shortages or overstock conditions. PT XYZ experiences recurring fulfillment gaps in non-food products, particularly toiletries, where warehouse stock is unable to consistently meet sub-branch demand. This study proposes the application of Response Surface Methodology (RSM) to model and optimize warehouse inventory fulfillment levels. A Box–Behnken experimental design involving three factors—store demand, supplier incoming goods, and delivery lead time—at three levels generated 15 experimental runs. ANOVA results confirm the statistical significance of the model (F = 176.29) with no lack of fit, while the coefficient of determination (R² = 0.996) indicates strong explanatory power. The optimal inventory level identified through matrix analysis is 18,697.27 units under specific operational conditions. The findings demonstrate that RSM effectively captures factor interactions and provides a data-driven decision framework for inventory optimization. This study contributes methodologically by extending RSM application in retail warehouse management and offers managerial insights to improve service level performance and reduce logistics inefficiencies.
Design of A Website-Based Internship Information System (Case Study of Industrial Engineering UPN “Veteran” East Java) Kartikasari, Bintang Andita; Donoriyanto, Dwi Sukma
The Indonesian Journal of Computer Science Vol. 12 No. 6 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i6.3575

Abstract

The Industrial Engineering Study Program is one of the study programs at the Faculty of Engineering, UPN "Veteran" East Java. In the teaching and learning process, students are required to undertake an internship as a graduation requirement. Currently, the training administration still relies on manual processes, which results in the administration process needing to be more effective and efficient. Given these problems, an internship information system will be produced. This website-based internship information system is implemented so that anyone can access the website anytime and anywhere. Therefore, the relevant parties can access this internship information system more efficiently. The research method for collecting the required data is observation and interviews. This information system uses PHP programming language and MySQL as the database. Based on the results of the tests that have been carried out, this website-based internship information system makes it easier for related parties to administer internship activities. Students can apply for supervisors' internship seminars and upload internship grades, and admins can plot supervisors, provide assignment letters for supervisors, and plot examiners online and systematically
Optimization of Furniture Raw Material Inventory Using The Lagrange Multiplier Method Wening, Marshanda Citra; Donoriyanto, Dwi Sukma
The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i2.3909

Abstract

PT XYZ is a furniture company specializing in products made from wood and rattan. PT XYZ has suboptimal problems controlling raw material inventories, resulting in inventory cost overruns and warehouse overcapacity. This research aims to determine the optimization of the amount of furniture raw material in the inventory according to the available warehouse capacity using the Lagrange Multiplier method. From the research results, it was found that the total warehouse using the Lagrange Multiplier method was 107,922 m3, which shows that this value is optimal because it does not exceed the capacity of the warehouse owned by PT XYZ, which is 108 m3. By applying the Lagrange Multiplier method, it is possible to save total inventory costs of IDR 17.219.173 or 6.36% of the company's total inventory costs, with an order size of 37 m3 for mindi wood and 26 m3 for mahogany wood.
Analysis of The Quality of Plastic Sack Products using the Statistical Quality Control (SQC) Method Rizquina Aldila Putri; Donoriyanto, Dwi Sukma
The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i2.3915

Abstract

PT. XYZ is a PT work unit manufacturing company. Perkebunan Nusantara I Regional 4 is engaged in the plastic sack industry which produces 2 products, namely outer bags and inner bags. The research carried out aims to determine and measure the level of product quality and provide appropriate product improvement suggestions for quality control problems in plastic sack products in PT. XYZ. The method used is Statistical Quality Control (SQC). Based on the results of research on Statistical Quality Control (SQC), there are 5 production stations and there are each type of defect at each production station. The defects that affect product quality are 14,541 kg of holey film defects, 13,849 kg of uneven threads, 22,706 kg of outgoing threads, 17,876 kg of jagged webbing, 10,186 kg of misprinting, 8,846 kg of faded colors, 11,323 kg of inner holes. , and opened seal of 3,206 kg. There are suggestions for improvements that can be proposed for each defect by adjusting the factors in the fishbone diagram.
Optimization of Fortune Cooking Oil Distribution Routes Using Ant Colony Optimization Method Yuniar Nur Latifah; Donoriyanto, Dwi Sukma; Nur Rahmawati
The Indonesian Journal of Computer Science Vol. 13 No. 2 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i2.3920

Abstract

In Indonesia, cooking oil is very important as a food ingredient. Where the production volume of a product can affect distribution system decisions. An efficient distribution process can provide a competitive advantage in terms of cost and service. Distribution at PT ABC is currently still done manually, besides that the company has not optimized the transport capacity of vehicles so that it results in swelling distribution costs, as well as distribution bridges. This research is aimed at finding the most optimal distribution route for cooking oil products at PT A using the Ant Colony Optimization method. After processing the data using the Ant Colony Optimization method, the optimal fortune cooking oil distribution route was obtained by dividing it into 4 subroutes with a total mileage of 2371 KM with a total distribution cost of Rp. 1,612,960. and the total mileage of the initial route was 2693 KM with a total distribution cost of Rp. 1,831,240. So we get a total savings in mileage of 322 KM and savings in total distribution costs of Rp. 218,960. Therefore, the results obtained using the Ant Colony Optimization method will be selected as the proposed method.
Penerapan Association Rule Dengan Algoritma Apriori Pada Analisis Pemilihan Mata Kuliah Pilihan dan Bidang Keahlian Pada Mahasiswa Teknik Industri UPN “Veteran” Jawa Timur Avril Firda Amelia; Dwi Sukma Donoriyanto
Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) Vol 19, No 3 (2025): Jurnal PASTI
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/pasti.2025.v19i3.003

Abstract

Teknik aturan asosiasi ialah pendekatan pembelajaran mesin nonparametrik yang digunakan untuk mendapatkan asosiasi tersembunyi dalam basis data antara variabel. Penelitian ini menganalisis pola preferensi mahasiswa serta mengidentifikasi hubungan atau asosiasi terkait mata kuliah pilihan yang dipilih dengan bidang keahlian atau topik skripsi yang akan dipilih, dan mengidentifikasi keterkaitan antara pilihan mata kuliah pilihan dengan rencana bidang keahlian skripsi yang ditempuh mahasiswa. Data diolah secara manual dan menggunakan software RapidMiner. Langkah pertama yang dilakukan adalah membentuk kombinasi 1 item-set dan menghitung nilai support, tahap itu dilanjutkan hingga pembentukan kombinasi 3 item-set. Dari aturan asosiasi di atas didapatkan 1 pola atau aturan (rules) yang memenuhi minimum confidence sebesar 80%. Dikarenakan hanya terdapat 1 aturan yang memenuhi ketentuan  minimum confidence, maka aturan tersebut menjadi asosiasi final. Berdasrkan asosiasi yang memenuhi ketentuan, dapat dikatakan mayoritas mahasiswa sudah mengambil mata kuliah pilihan sesuai dengan rencana bidang keahlian skripsi yang akan diambil.
Penerapan Association Rule Dengan Algoritma Apriori Pada Analisis Pemilihan Mata Kuliah Pilihan dan Bidang Keahlian Pada Mahasiswa Teknik Industri UPN “Veteran” Jawa Timur Avril Firda Amelia; Dwi Sukma Donoriyanto
Jurnal PASTI (Penelitian dan Aplikasi Sistem dan Teknik Industri) Vol. 19 No. 3 (2025): Jurnal PASTI
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/pasti.2025.v19i3.003

Abstract

Teknik aturan asosiasi ialah pendekatan pembelajaran mesin nonparametrik yang digunakan untuk mendapatkan asosiasi tersembunyi dalam basis data antara variabel. Penelitian ini menganalisis pola preferensi mahasiswa serta mengidentifikasi hubungan atau asosiasi terkait mata kuliah pilihan yang dipilih dengan bidang keahlian atau topik skripsi yang akan dipilih, dan mengidentifikasi keterkaitan antara pilihan mata kuliah pilihan dengan rencana bidang keahlian skripsi yang ditempuh mahasiswa. Data diolah secara manual dan menggunakan software RapidMiner. Langkah pertama yang dilakukan adalah membentuk kombinasi 1 item-set dan menghitung nilai support, tahap itu dilanjutkan hingga pembentukan kombinasi 3 item-set. Dari aturan asosiasi di atas didapatkan 1 pola atau aturan (rules) yang memenuhi minimum confidence sebesar 80%. Dikarenakan hanya terdapat 1 aturan yang memenuhi ketentuan  minimum confidence, maka aturan tersebut menjadi asosiasi final. Berdasrkan asosiasi yang memenuhi ketentuan, dapat dikatakan mayoritas mahasiswa sudah mengambil mata kuliah pilihan sesuai dengan rencana bidang keahlian skripsi yang akan diambil.
Co-Authors Abdul Rouf, Imron Achmad Gufron Adelia Hernalis Agustin Afiady Fitsal Ubaidillah Agraprana, Al Aileen Al Habri, Muhammad Anjab Al-Zaher, Abdulqader Ali, Munawar Amanullah Fathurrahman Ananta Agung Purwoko Anggarnis Dwikalyana Ardyani Anthony Surya Wirawan Ardlianti , Rana Atikah Ardlianti, Rana Atikah Ardyani, Anggarnis Dwikalyana Ario Adityawarman Avril Firda Amelia Dessy Indra Puspitasari Dewi, Ratna Sari Dewi2 Dzannisa Ghotrun Nada Endang Pudji W Endang Pudji Widjajati Enny Aryanny Erlina Purnamawati Erwan Adi Saputro Fajrina Rizki Izzati Fanani, Syahrul Nur Farida Pulansari Farrel Azriel Septrianto Fawwazy , Neyzard Alby Firmansyah, Mokhamad Ghani, Mukhammad Rivaldi Gladies Putri Suprapto Handoyo Handoyo Handy Natan Permana Imam Qulub Mustaqim Indah Yansi Nofianto Indiyanto, Rus Iriani Iriani Irma Dian Isna Nugraha Isna Nugraha Juliardi A. R., Naniek Ratni Kartikasari, Bintang Andita Khakiki, Elin Ken Laksono Trisnantoro Laurentius Urip Widodo Liora Darista Zahra M. Wildan Kautsar Masdani Irfan Prakoso Karmawan Mega Cattleya Prameswari Annissaa Islami Moch Abu Naim Moch Tutuk Safirin Mohammad Nailul Falah Muhammad Miftahul Hamdi Naniek Ratni Juliardi A.R Noventya Cahyani, Salma Nugraha, Isna Nugraha, Yaskie Cahyana Septiviandra Ade Nur Rahmawati Nur Rahmawati Nur Rahmawati NUR RAHMAWATI PAMUNGKAS, CATUR ARTA Prasetya, Adi Tulus Prasetyo Ari Bowo, Prasetyo Ari Rahsya Akbar Muhammad Amin Rana Atikah Ardlianti Rangga Dwi Saputra Rendy Christian Riamto, Mohammad Shodiq Wahyu Rizky Setiawan Rizquina Aldila Putri Rofiatul Adawiyah Rus Indiyanto Safirin, M. Tutuk Safirin, Moch Tutuk Satriya Dwi Santoso Satya Winarung Ekauji Shania Andra Fitriana Sholihin, Qouman Siswanto Moenandar Siswanto Moenandar Strada, Yoga Andys Sulistyo Wibowo, Arief Sumiati Sumiati Syamsi, Muhammad Nabighoh Badarus Syamsiah, Yuliatin Ali Tegar Garin Widodo Teo Billy Chandra Yunanto Tranggono Tranggono Tranggono Tranggono Tranggono Tranggono Ubaiyi, R. Vanji Abdillah Ulfa Chusnia Wahyunita Umami, Amastasia Cindy Virga, Avril Wahyu Kurniawan Wening, Marshanda Citra Widjajati, Endang Pudji Yekti Condro Winursito Yuliatin Ali Syamsiah Yuliatin Ali Syamsiah Yuniar Nur Latifah Yustina Ngatilah Zharfan Hamzah Zulfiqa Irfidianis Ifada