Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Jurnal Informatika Dan Tekonologi Komputer Jurnal Publikasi Manajemen Informatika
Siti Sa'uda
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Other

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

Found 2 Documents
Search

 1 
ANALISIS POLA PUNCAK PERGERAKAN PENUMPANG LRT SUMATERA SELATAN MENGGUNAKAN PENDEKATAN TIME SERIES Zakiansyah; Siti Sa'uda; Ahkmad Ipandy
Jurnal Publikasi Manajemen Informatika Vol. 5 No. 2 (2026): JURNAL PUBLIKASI MANAJEMEN INFORMATIKA
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupumi.v5i2.7362

Abstract

This study analyzes the peak movement patterns of passengers on the South Sumatra Light Rail Transit (LRT) system during the 2026 Eid Transportation period using a time series approach. Daily operational data over a 36-day observation period (D-17 to D+17), from March 4 to April 8, 2026, were obtained from the South Sumatra Light Rail Transit Management Agency and PT KAI Divre III Palembang. Data processing was conducted through the Knowledge Discovery in Databases (KDD) framework using Python, Pandas, and Matplotlib. The analyzed variables included the realized passenger volume for 2025 and 2026, the predicted passenger volume for 2026, the number of train trips, seating capacity, and daily load factor. The analysis results indicate that the total realized passenger volume in 2026 reached 484,563 passengers, representing a 3.10% decrease compared to the 2025 realization of 500,067 passengers. The peak service demand occurred on D+2 (March 24, 2026), with 27,485 passengers, a load factor of 81.16%, and a peak index of 2.04, confirming that the highest operational pressure occurred during the return-flow phase, particularly from D+1 to D+4. The Post-Eid Transportation phase contributed the largest share of total passengers at 41.50%. Prediction accuracy produced a Mean Absolute Percentage Error (MAPE) value of 12.05%, indicating that the model was capable of capturing the general direction of passenger demand, although improvements are still needed at extreme turning points. The estimated trend for 2027 indicates a passenger range between 470,026 and 508,791 under three projected scenarios. This study confirms the relevance of the time series approach in understanding the dynamics of rail-based public transportation demand during special operational periods.
Visualisasi Data Pelayanan Dinas Kependudukan dan Pencatatan Sipil Kabupaten Ogan Ilir Menggunakan Dashboard Interaktif Zhofiroh Khoirunnisa; Siti Sa'uda
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 5 No. 3 (2025): November : Jurnal Informatika dan Tekonologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v5i3.8369

Abstract

The Department of Population and Civil Registration of Ogan Ilir Regency faces challenges in managing service data due to non-integrated systems and manual reporting processes. These conditions hinder effective performance evaluation and increase the risk of inaccurate data recording. This study aims to develop an interactive service data visualization dashboard using Microsoft Power BI to support real-time monitoring and improve the clarity of service information. The dashboard development follows the ADDIE model up to the development stage to ensure alignment with user needs. The dataset used consists of 8,190 validated service records from the year 2024. The resulting dashboard displays key indicators, including total services, service divisions, service types, monthly trends, and interactive filters. The main contribution of this study lies in providing a structured and integrated visualization model that enhances service transparency and enables faster, data-driven decision-making within government agencies.
Co-Authors Ahkmad Ipandy Zakiansyah Zhofiroh Khoirunnisa