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DASHBOARD SISTEM INFORMASI EKSEKUTIF PENJUALAN Susan Dian Purnamasari; Alek Wijaya
Jurnal Ilmiah Matrik Vol 19 No 3 (2017): Jurnal Ilmiah Matrik
Publisher : Direktorat Riset dan Pengabdian Pada Masyarakat (DRPM) Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (373.024 KB) | DOI: 10.33557/jurnalmatrik.v19i3.388

Abstract

Currently PT Semen Baturaja (Persero) Tbk already has a sales information system that has been integrated with enterprise resource planning (ERP) company system. However the existing information system provides more information relating to the course of sales operations, sales report submission is still less organized and still using office applations. The report is also not appropriate for the executive. The high level of directors mobility makes the required sales data must be fast and accurately received by the board of directors. Therefore, PT Semen Baturajaic (Persero) Tbk is in need of an information system that serves as a means to view all sales data in the long run and can be viewed anytime without having to wait for reports from sales staff. This research generates executive sales information systems at PT Semen Baturaja (Persero) Tbk by utilizing business intelligence that is able to provide detailed information on sales in chart or graphic display
Enhancing UI/UX of The Smart Village System Website Using User-Centered Design Methods Alek Wijaya; Fauzan Azhiman
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol 11 No 2 (2023): September 2023
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v11i2.6989

Abstract

The Smart Village System is a platform specifically designed to help publicize village potential. Of course, it is very important to test UI/UX on sidespin websites which are still very far from perfect, so it becomes a question of whether the UI/UX sidespin is in line with the expectations of the community as the target user. This study intends to design UI/UX on sidespin websites by utilizing the UCD method which aims to improve interface quality, efficiency, and productivity as well as community satisfaction. The UI/UX design on this sidespin website uses the UCD method because several stages involve establishing a relationship and interaction between users. 5 people are willing to become User Personas who can provide input on user satisfaction which will be evaluated using a Heuristic Evaluation which will be combined with Survey Ratings. The results of this study state that all aspects of the satisfaction level of the User Persona are in the satisfied category. Recommendations were found to be developed by the Smart Village System Team, among others, in terms of the principles of Heuristic Evaluation 4, 5, and 6. Consistency and Standards have restructured sentences and are consistent from one page to another. Error Prevention has added many features to the sidespin and finally, Recognition rather than recall has implemented local and rural nuances on the page sidespin.
Data Analysis Automatic Fare Collection Light Rail Transit Jakarta using the Cluster Method Mario Hagi; Heri Suroyo; Alek Wijaya; Ahmad Syazili
Journal of Computer Science, Information Technology and Telecommunication Engineering Vol 4, No 2 (2023)
Publisher : Universitas Muhammadiyah Sumatera Utara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jcositte.v4i2.16413

Abstract

The use of public transportation such as LRT (Light Rail Transit) can reduce the level of congestion in an area and DKI Jakarta is a province with a high level of congestion. The purpose of this study was to determine the general preferences of passengers and to classify stations based on the number of passengers entering-station-exit pairs of the Jakarta LRT by utilizing the cluster analysis method. The data analyzed using the Tableau Desktop application was obtained from the AFC (Automatic Fare Collection) LRT Jakarta. The data contains seven fields, namely PAYMENT METHOD, DATE, TIME OUT, RANGE 60', RANGE 15', STATION OUT, STATION IN for 15 days from 1 January 2023 to 15 January 2023. The results of the study are in the form of data visualization, descriptive statistics, clustering results, and dashboard. Based on the results of the analysis, three clusters were formed with cluster 3 being filled by VEL-BVU and BVU-VEL by controlling 14038 passengers or 40.8% of the total passengers, cluster 2 being filled by VEL-DPD, VEL-BVS, DPD-VEL, and BVS -VEL controlling 10,053 passengers or 29.2% of the total passengers, and the remaining 27 items are in cluster 1 controlling 10,317 passengers or 30.0% of the total passengers.