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DEVELOPMENT OF A BPJS HOSPITAL CLAIMS MONITORING SYSTEMS VIA BRIDGING DASHBOARD Lesmana, Asep; Taufik, Andi
Journal of Information System, Informatics and Computing Vol 7 No 2 (2023): JISICOM (December 2023)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisicom.v7i2.1274

Abstract

Enhancing efficiency in the management of claims by the Social Security Organizing Agency (BPJS) at hospitals is a paramount issue in the healthcare sector. This research endeavors to address this challenge by proposing the implementation of Dashboard Bridging, a technology-based solution capable of integrating data from various information sources within hospitals. This system generates comprehensive real-time information and enables more precise decision-making in the management of BPJS claims. Through a structured development approach, the Dashboard Bridging system is designed and implemented to ensure accuracy and optimal performance in BPJS claim analysis. Its objectives include reducing claim processing time, improving healthcare service quality, and potentially enhancing hospital operational efficiency. Furthermore, it aims to serve as a reference for the development of similar solutions in various public service sectors.
IMPACT OF INFORMATION TECHNOLOGY AND MANAGEMENT SYSTEMS ON EMPLOYEE PERFORMANCE AT PT DAYA ADICIPTA Gustaf Leonandri, Dino; Erpurini, Wala; Lesmana, Asep
JIM UPB (Jurnal Ilmiah Manajemen Universitas Putera Batam) Vol 13 No 1 (2024): Volume 13 Nomor 1 Tahun 2024
Publisher : Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jimupb.v13i1.9442

Abstract

This study aims to explore how Information Technology (IT) and Management Information Systems (MIS) influence employee performance. The research involves 115 respondents who are employees of PT. Daya Adicipta Motora Honda Dealer Baros in Cimahi City, using a stratified random sampling technique, which divides the population into strata to select samples. Data was collected through questionnaires and analyzed using multiple regression analysis. The processing of the questionnaire data using IBM SPSS Statistics 22 software shows that the Information Technology variable is valid based on the validity test, and the reliability test results for this variable are also deemed acceptable. Based on calculations using SPSS, the F-table value is 13.4. The SPSS output indicates the F-calculated value is 58.449, with a significance level of 0.000. Since the F-calculated value is greater than the F-table value and the significance level is less than 0.05, it can be concluded that Information Technology (X1) and Management Information Systems (X2) have a simultaneous and significant impact on Employee Performance (Y). This supports Hypothesis 3 (H3) of this study.