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Journal : Journal of Software Engineering and Information System (SEIS)

ANALISIS MATURITY SISTEM INFORMASI MANAJEMEN RUMAH SAKIT DOMAIN SERVICE OPERATION FRAMEWORK ITIL V3 Aryanto; Arribe, Edo
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 3 No. 1 (2023)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (715.523 KB) | DOI: 10.37859/seis.v3i1.4628

Abstract

At present the world has entered the 4.0 era where information technology is a major factor in theadvancement of agency services and hospitals are one of them. XYZ Hospital is a health agency thatprovides health services to the community and has a duty to provide comfort and quality in its services.Hospital Management Information System (SIMRS) is a system or information technology that is usefulfor supporting services in hospitals. In connection with the use of information technology in services atXYZ Hospital, management is needed so that the process of using information technology can bemeasured. The measurement was carried out to find out how much the SIMRS readiness was insupporting the existing services at the hospital. In this study, analysis of information technologymanagement uses the Information Technology Infrastructure Library (ITIL) version 3 framework in theService Operation domain. The results of this study are a maturity level value of 3.17 which is at level3, namely Defined which is obtained from the results of the questionnaire as an instrument andrecommendations from measurements that have been carried out and focus on reaching level 4, namelyManaged
RANCANG BANGUN SISTEM INFORMASI INVENTORY PADA TOKO INDAH BARU Aryanto; Wijaya, Setiawan Ardi; Silpandi, Dimas; saskia, ananda; Mihardi, Hansen; Wiyrabawa Kainna Putra Rachman
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 4 No. 1 (2024)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/seis.v4i1.6801

Abstract

Toko Indah Baru is a store specializing in various plastic goods for the industrial sector. The store caters to both small and large purchases. However, in its current business process, Toko Indah Baru still relies on manual systems, which have several drawbacks. One of them is the conventional method of recording goods and manually storing data using Microsoft Excel. To address these issues, a design and development of a web-based Inventory Information System application is proposed for Toko Indah Baru. The development methodology chosen for this project is the SDLC model waterfall. The proposed system aims to streamline inventory management processes, improve accuracy in recording and tracking goods, and enhance overall operational efficiency for Toko Indah Baru. By transitioning from manual methods to an automated web-based system, the store can expect to see significant improvements in inventory control and data management.
ANALISIS TINGKAT KEPUASAN PENGGUNA APLIKASI SIGNAL NASIONAL MENGGUNAKAN METODE END USER COMPUTING SATISFACTION (EUCS) (Studi Kasus : Badan Pendapatan Daerah Provinsi Riau (BAPENDA) Arribe, Edo; Aryanto; Aulia, Sandra
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 2 No. 1 (2022)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (403.966 KB) | DOI: 10.37859/seis.v2i1.3377

Abstract

The National Signal application is a national digital Samsat application that can make it easier for the Indonesian people to make tax payments. The National Signal application, which will be held in Pekanbaru on August 25, 2021. Problems with the National Signal Samsat also often occur to some users of the National Signal application. The application requires a measurement of thelevel of end user satisfaction, so that it can find out the condition of application user satisfaction. This study has the aim of knowing user satisfaction using the EUCS method, this method is used because it is in accordance with the problems that existin the National Signal application users to make benchmarks on the dimensions that exist in the EUCS method. amount of 16%. While the other 4 variables have a high percentage of satisfaction with an average of 72-82%. And the results of the T test where the hypothesis on the accuracy variable section is rejected because there is no effect on users of the National Signal Application. Based on the overall results of the research, it can be seen that users of the National Signal application are satisfied withthe performance of the application with the highest score from the results of filling out the questionnaire from 222 samples which state that the National Signal Application is a complete information provider for paying the SAMSAT tax.
ANALISIS MANAJEMEN LAYANAN TEKNOLOGI INFORMASI DENGAN FRAMEWORK (ITIL) DOMAIN SERVICE STRATEGY DEVA WULANDARI; Edo Arribe; Aryanto; Putriani
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 2 No. 2 (2022)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (707.381 KB) | DOI: 10.37859/seis.v2i2.3995

Abstract

Aisyiyah Pratama Clinic in Pekanbaru is one of the clinics in Pekanbaru. precisely on KH Ahmad Dahlan street. At the Pratama Aisyiyah Clinic in Pekanbaru, they already use an application in their daily lives, the application is called KANZA. The application is java-based and the application covers all work in the clinic, from the queuing system to medical records. However, this application has several drawbacks, namely the ui/ux display of the application which confuses prospective patients so that this application is less effective when used in general (by patients and clinic staff). and also this application which has been in use since 2019 has been hacked which means this application is still vulnerable to hackers. but the clinic technician quickly fixed the firewall of the KANZA application. Because of this, this research really needs to be completed to the end so that this journal can later be used as a reference for agencies experiencing cases similar to or similar to this research, and specifically at the Aisyiyah Pekanbaru Primary Clinic which is the object of our research.
KLASIFIKASI MAKANAN BERDASARKAN NILAI GIZI MENGGUNAKAN ALGORITMA RANDOM FOREST DAN TEKNIK SMOTE Br Bangun, Elsi Titasari; Bayu Anugerah Putra; Aryanto
Jurnal Rekayasa Perangkat Lunak dan Sistem Informasi Vol. 5 No. 2 (2025)
Publisher : Department of Information System Muhammadiyah University of Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/seis.v5i2.9725

Abstract

Classifying food based on nutritional content is essential for developing personalized dietary recommendation systems and promoting healthier eating habits. This study aims to construct a food classification model using the Random Forest algorithm combined with the Synthetic Minority Oversampling Technique (SMOTE) to address class imbalance in the dataset. The dataset includes various nutritional attributes such as calories, protein, fat, carbohydrates, fiber, sugar, sodium, and cholesterol, along with additional information such as food category and meal time. After preprocessing, the data were split into training and testing sets, with SMOTE applied to the training data to improve class representation. The model was trained using Random Forest and evaluated using accuracy, precision, recall, and F1-score. The results show that the model achieved an accuracy of 83.35% and an average F1-score above 0.80, with the best performance observed in majority classes. The confusion matrix analysis indicates that most predictions were accurate, although misclassifications occurred among classes with overlapping nutritional values. Protein, calories, and carbohydrates were identified as the most influential features in the classification process. These results show that combining Random Forest and SMOTE works well for creating food classification systems using nutritional data and could be useful in apps for diet recommendations and managing nutrition.