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All Journal TEKMAPRO Journal of Industrial Engineering and Management JURNAL PASTI (PENELITIAN DAN APLIKASI SISTEM DAN TEKNIK INDUSTRI) Briliant: Jurnal Riset dan Konseptual PROZIMA (Productivity, Optimization and Manufacturing System Engineering) Journal of Research and Technology MIND (Multimedia Artificial Intelligent Networking Database) Journal Jurnal Pengabdian Al-Ikhlas JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Indonesian Journal of Industrial Engineering & Management Journal La Multiapp Jurnal Algoritma Student Scientific Creativity Journal Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS 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
Teknik Industri FTI-UPNV Jatim
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts 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 Public Health Social Sciences Transportation

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Journal : The Indonesian Journal of Computer Science

 1 
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 (IJCS)
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 (IJCS)
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 (IJCS)
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 (IJCS)
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.
Optimization Of Raw Material Inventory for Rayon Yarn at CV XYZ Using the EOQ-Lagrange Multiplier Method and Theory Of Constraint Virga, Avril; Donoriyanto, Dwi Sukma
The Indonesian Journal of Computer Science Vol. 14 No. 1 (2025): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i1.4559

Abstract

CV XYZ is a manufacturer of woven sarong in East Java. The problem faced challenges with excess rayon yarn inventory, leading to overcapacity in storage and high costs. Additionally, suppliers' minimum order requirements exacerbate the issue. This study uses the Lagrange Multiplier and Theory of Constraint methods to optimize rayon yarn inventory to minimize costs and storage needs. The results reveal an adjusted storage space requirement of 84 m³, with details of the total storage space and the minimum order quantity, namely rayon yarn R80/2 of 28.32 m³ (147 boxes), R60/2 of 25.80 m³ (134 boxes), and R32/2 of 29.88 m³ (155 boxes). This method also reduces the total inventory cost to IDR 30,640,592, achieving a remarkable 84.61% saving (IDR 168,574,408) compared to the company's current process. The findings demonstrate that combining Lagrange Multiplier and TOC effectively addresses storage limitations, optimizes order quantities, and minimizes inventory costs.
Implementation of Data Mining to Analyze Consumer Purchasing Patterns at CV XYZ Using the Apriori Algorithm Sulistyo Wibowo, Arief; Donoriyanto, Dwi Sukma
The Indonesian Journal of Computer Science Vol. 14 No. 1 (2025): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i1.4652

Abstract

CV XYZ is a retail store located on Jl. Tidar, Surabaya, East Java, specializing in the trade of industrial and household chemical products. To remain competitive amid rapid technological advancements and increasing competition in the area, CV XYZ has adopted online sales through the Shopee platform. This study aims to analyze consumer purchase patterns using the Apriori algorithm based on sales transaction data to support effective and efficient marketing strategies. Based on the analysis, five purchasing patterns were identified: (1) if Silicon Oil is purchased, Counterdust will also be purchased with a support value of 0.391 and a confidence value of 0.818; (2) if Cocamidopropyl Betain is purchased, Counterdust will also be purchased with a support value of 0.391 and a confidence value of 0.857; (3) if Car Shampoo is purchased, Counterdust will also be purchased with a support value of 0.359 and a confidence value of 0.868; (4) if Talc is purchased, Counterdust will also be purchased with a support value of 0.348 and a confidence value of 0.842; and (5) if Linear Alkylbenzene Sulfonate is purchased, Counterdust will also be purchased with a support value of 0.359 and a confidence value of 0.892. These findings indicate that data mining techniques using the Apriori algorithm provide an effective approach for identifying consumer purchasing patterns of chemical products sold online through the Shopee platform. This insight can help businesses optimize their marketing strategies and decision-making processes.
Co-Authors Abdul Rouf, Imron Agraprana, Al Aileen Al Habri, Muhammad Anjab Al-Zaher, Abdulqader Amelia, Avril Firda Ardlianti , Rana Atikah Ardlianti, Rana Atikah Dewi, Ratna Sari Dewi2 Enny Aryanny Erwan Adi Saputro Fanani, Syahrul Nur Fawwazy , Neyzard Alby Firmansyah, Mokhamad Ghani, Mukhammad Rivaldi Handy Natan Permana Indiyanto, Rus Isna Nugraha Juliardi A. R., Naniek Ratni Kartikasari, Bintang Andita Khakiki, Elin Ken Noventya Cahyani, Salma Nugraha, Isna Nugraha, Yaskie Cahyana Septiviandra Ade NUR RAHMAWATI Nur Rahmawati PAMUNGKAS, CATUR ARTA Prasetya, Adi Tulus Rahsya Akbar Muhammad Amin Riamto, Mohammad Shodiq Wahyu Rizquina Aldila Putri Safirin, M. Tutuk Safirin, Moch Tutuk Sholihin, Qouman Sulistyo Wibowo, Arief Syamsiah, Yuliatin Ali Tegar Garin Widodo Ubaiyi, R. Vanji Abdillah Virga, Avril Wahyu Kurniawan Wening, Marshanda Citra Widjajati, Endang Pudji Yuliatin Ali Syamsiah Yuniar Nur Latifah