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Journal : The Indonesian Journal of Computer Science

Evaluasi Kualitas Data Pada Daftar Produk Tayang Di Katalog Elektronik Versi 6.0 Pratiwi, Aprilia; Mahsa Elvina Rahmawyanet; Amanda Ghaisani; Tri Broto Siswoyo; Yova Ruldeviyani; Yudho Giri Sucahyo
The Indonesian Journal of Computer Science Vol. 14 No. 3 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i3.4858

Abstract

Data quality is important aspect in supporting transparency, accountability, and efficiency of the government procurement process. Electronic Catalog data acts as a source of information on products, services, and providers of goods/services. The transition from Electronic Catalog v5 to v6 is form of digital transformation in the government procurement of goods/services as form of improving public services. Measuring the quality of Electronic Catalog v6 data has significant role in providing effective, efficient and accountable information. This study aims to evaluate the quality of data on Electronic Catalog v6 product data using the Total Data Quality Management (TDQM) framework. There are 6 dimensions used in evaluating data quality, completeness, accuracy, data integrity, fairness, consistency, and precision. The results of the study show that the dimensions of consistency, accuracy, completeness, fairness and precision reach above 90% while data integrity reaches below 50% and requires improvement on product data quality.
Analisis Faktor-Faktor Yang Memengaruhi Niat Penggunaan Aplikasi Smart Waste Management: Studi Kasus Aplikasi Duitin Nugroho, Wahyudi Sri; Yekti Wirani; Yudho Giri Sucahyo
The Indonesian Journal of Computer Science Vol. 13 No. 6 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i6.4560

Abstract

In 2023, Indonesia produced 38 million tons of waste, 51% of which was household waste. One effort to address the waste problem is encouraging the public to sort recyclable waste (SDU) to reduce the amount of waste sent to landfills. The Duitin application is a mobile-based app that helps tackle waste issues through the collection of SDU sorted by households. This application is expected to play a significant role in supporting service operations. This study aims to analyze the factors influencing the intention to use the Duitin application. The model used in this research is adopted from the TAM, UTAUT, and ISSM frameworks. Previous studies were referenced to identify relevant variables, which were then incorporated into a questionnaire distributed through social media. Data analysis was conducted using the PLS-SEM technique on 244 respondent datasets. The results of the study revealed that two hypotheses were accepted, namely perceived usefulness and satisfaction, while four hypotheses were rejected: subjective norm, effort expectancy, social influence, and facilitating condition. This study serves as a reference for future research aimed at understanding factors influencing the adoption of smart waste management applications in the context of household recyclable waste in Indonesia.
Penilaian Tingkat Kematangan Sistem Pengelolaan Sampah Cerdas: Studi Kasus pada PT.XYZ Dimas Ahda Sabila; Yekti Wirani; Yudho Giri Sucahyo
The Indonesian Journal of Computer Science Vol. 14 No. 1 (2025): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i1.4618

Abstract

Facing increasingly complex urban waste management challenges, this study evaluates the maturity level of Smart Waste Management implementation in Indonesia, with a case study of PT. XYZ. In Indonesia, the implementation of Smart Waste Management is still in its early stages, yet its urgency continues to grow due to increasingly complex urban waste problems. The study examines Smart Waste Management System maturity levels and identifies key implementation factors, utilizing both qualitative and quantitative approaches. Assessment results indicate an average maturity level of 3-Integrated out of 5-Smart, with variations across different processes. Key areas requiring enhancement include governance, social, technological, and economic dimensions. This evaluation provides valuable insights for improving operational efficiency, environmental impact, and community service delivery in waste management. The findings contribute to understanding SWMS implementation challenges and opportunities, offering strategic recommendations for advancing sustainable waste management practices in Indonesia.