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All Journal Jurnal Teknik Industri Terintegrasi (JUTIN) PREDATECS: Public Research Journal of Engineering, Data Technology and Computer Science
Rahmadani, Desvita
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Random Forest Optimization Using Particle Swarm Optimization for Diabetes Classification Pratama, Pangeran Fadillah; Rahmadani, Desvita; Nahampun, Rahma Sani; Harmutika, Della; Rahmadeyan, Akhas; Evizal, Muhammad Fikri
Public Research Journal of Engineering, Data Technology and Computer Science Vol. 1 No. 1: PREDATECS July 2023
Publisher : Institute of Research and Publication Indonesia (IRPI).

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/predatecs.v1i1.809

Abstract

Diabetes mellitus is a chronic degenerative disease caused by a lack of insulin production in the pancreas or the body's ability to use insulin less effectively. According to a report by the World Health Organization (WHO), 4% of the total deaths in the world are caused by diabetes. The International Diabetes Federation (IDF) notes that in 2013 there has been an increase in diabetes sufferers. Indonesia is the seventh place with the largest number of cases of diabetes mellitus. In this study, the method used to classify diabetes is using a random forest algorithm with Particle Swarm Optimization (PSO) optimization. This study resulted in an accuracy of the random forest classification algorithm of 78.2% and 82.1 using PSO optimization with an increase in value of 3.9%. It can be concluded that PSO optimization can provide a better increase in classification accuracy values when compared to the random forest algorithm without PSO optimization
Analisis Pengendalian Persediaan Bahan Baku Produksi dengan Metode EOQ (Studi Kasus: Pawon Mas Herman) Kamila, Muthia; Rahmadani, Desvita; Fitri, Nadila Gusrialni; Am, Andri Nofiar
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 6 No. 4 (2023): Oktober
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v6i4.21008

Abstract

One important role in business operations is based on inventory, which is the underlying principle of business. Therefore, a business must be able to predict potential problems as well as potential traps in inventory management in order to the ultimate goal, namely to reduce the total cost to be borne by inventory. Pawon mas herman is one of the bakso shops in Pekanbaru that has been established since 1998. Pawon mas herman is experiencing a fairly rapid business expansion, but a lack of management system or methods to buy or collect raw materials, causes this restaurant to suffer from material shortages or even raw materials shortfalls during the hours of operation. To ensure the business continues from the production process and avoid stopping or collapse due to a shortage of raw materials namely meat and chicken, pawon masherman needs to have a proper plan. The Economic Order Quantity (EOQ) method is used to help in solving problems in particular requirements related to the supply of raw materials. The result of this study is that by using the EOQ method, Pawon Mas Herman farm can save shipping costs up to Rs. 4,740,000. Because, based on the calculations completed using the eOQ technique, the owner of the farm must make meat orders every 7 days, weighing at least 7 kg of meat each time ordering. Pawon Mas Herman is advised to use the EOQ method for control of supplies, there is a significant cost difference.
Co-Authors Am, Andri Nofiar Evizal, Muhammad Fikri Fitri, Nadila Gusrialni Harmutika, Della Kamila, Muthia Nahampun, Rahma Sani Pratama, Pangeran Fadillah Rahmadeyan, Akhas