Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Jurnal Penelitian Sistem Informasi Jurnal Sistem Informasi dan Ilmu Komputer
Leni Nurhayati
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Visualisasi Data Kependudukan Menggunakan Power Business Intelligence (Studi Kasus Kelurahan Sukamiskin Kecamatan Arcamanik Kota Bandung) Sri Bekti Handayani Ningsih; Iyat Ratna Komala; Leni Nurhayati; Maya Suhayati
JURNAL PENELITIAN SISTEM INFORMASI (JPSI) Vol. 3 No. 1 (2025): JURNAL PENELITIAN SISTEM INFORMASI
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jpsi.v3i1.2944

Abstract

Sukamiskin Village is one of the villages in the Arcamanik sub-district of Bandung City. Population data is very useful as a basis for policy making to improve the economy, determine security facilities, improve infrastructure, and so on. One of the community institutions that have the task of collecting population data is the Rukun Tetangga (RT) management. The application of the Power Business Intelligence (Power BI) application in analyzing population data in Sukamiskin Village by taking sample data in Sukamiskin village RT.01 RW.06. The population data analyzed includes information such as population size, age distribution, education level, gender, marital status and employment status. This study aims to provide a clear picture or visualization of population data in Sukamiskin village RT.01 RW.06 using the Microsoft Power BI application with the stages of collecting data, entering data, modeling data, and visualizing data. The results of this research are in the form of a dashboard/summary report and detailed report on the population data of the Sukamiskin village RT.01 RW.06. The results of the analysis show that Power BI is able to present data comprehensively and assist in strategic decision making at the village level. The implementation of Power BI is expected to increase the benefits of population data and accelerate the process of
Analisis Kebutuhan Sistem Informasi Transaksi Pembayaran pada KPSPAM Tirta Kahuripan Syarmila Isabila; Leni Nurhayati
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 4 No. 3 (2026): Agustus: Jurnal Sistem Informasi dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59581/jusiik-widyakarya.v4i3.6642

Abstract

Water supply management organizations at the community level, such as KPSPAM Tirta Kahuripan in Mandalaherang, still manage water usage records, customer fee calculations, and payment reports manually using notebooks and simple spreadsheets. This process creates risks of recording errors, data loss, delayed reporting, and difficulties in tracking customer payment histories. This study aims to analyze the existing business process of water fee payment transactions and identify functional and non-functional requirements for developing a computerized payment transaction information system. The research method used is systems analysis and design through field observations, interviews with administrators, business process analysis, and requirement identification. The proposed system was modeled using Use Case Diagrams, Activity Diagrams, Entity Relationship Diagrams (ERD), and interface mockups. The results indicate that the manual process causes inefficiencies in data management and report preparation. The proposed system involves two main actors, namely the recording operator and treasurer, with different access rights to manage water meter records, payment transactions, and reports. The requirement analysis document is expected to support the future development of a more structured, accurate, and integrated payment transaction information system for KPSPAM.
Co-Authors Ernawati Iyat Ratna Komala Maya Suhayati Siti Chotimah Sri Bekti Handayani Ningsih Syarmila Isabila