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Analisis Kepuasan Pengguna Aplikasi BRImo Menggunakan Metode End User Computing Satisfaction dan Delone & Mclean Harmutika, Della; Rahmawita, Medyantiwi; Rozanda, Nesdi Evrilyan; Zarnelly, Zarnelly
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 2 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v7i2.38876

Abstract

BRImo is a mobile banking application that provides online transaction services, but there are still some BRImo users who are still constrained by using the BRImo application. As for difficulties in using the BRImo application, difficulty transacting, difficulty logging in, then users are often blocked which results in less comfort in using the BRImo applicationn which can reduce the level off user trust. The goal is to find out the level of user satisfation of the BRImo application usingg the End User Computing Satisfaction (EUCS) and Delone & Mclean research models. The EUCS model means a comparison model between reality and expectations (reality). DeLone and McLean means a model for identifying factors that cause the success of an information system. In this study, it can be measured from 5 EUCS indicators and 3 Delone & McLean indicators which will use purposive sampling techniques collected through online questionnaires in the form of google forms to 100 user respondents, so that the data obtained will be analyzed using SmartPLS 4. Thus the final resultss of this study state that the variables of content, easy of use, information quality, service quality, and timeliness have a significant effect, then 3 other variables, namely accuracy, format, and system quality, do not have significant positive effect on the satisfaction of BRImo application users.
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 Manajemen Rantai Pasok pada UMKM Tahu Menggunakan Metode Economic Order Quantity (EOQ) Sani, Rahma; Ramadhani, Indah; Harmutika, Della
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.v6i4.21029

Abstract

Tofu Micro, Small and Medium Enterprises (MSMEs) in Pandau Jaya Village are individual businesses operating in the food industry, especially tofu production. This research aims to analyze the supply chain performance of tofu MSMEs in Pandau Jaya Village and the impact of optimizing supply chain management on supply. This research method is descriptive qualitative using primary and secondary data. The research results show that the supply chain management of tofu products in Tofu MSMEs in Pandau Jaya Village is running well. All elements of the supply chain, including soybean agents, Tahu Pandau Jaya Village MSMEs, and consumers are running well. Supply chain management is considered effective, especially in transactions, policies and capital. Chain resources, such as people, technology and capital, operate optimally, supporting the smooth production of tofu. The chain business process is considered optimal, reflecting solid business relationships between supply chain members, based on good trust