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Evaluation of the POSKetanmu Website Using E-GovQual and Importance Performance Analysis (IPA) Nur Dinanita; Anita Wulansari; Rafika Rahmawati
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.3016

Abstract

The rapid advancement of information and communication technology has driven governments to provide digital public services that are efficient, transparent, and user-centered. One such initiative is the POSKetanmu website developed by the Mojokerto Regency Population and Civil Registration Office, aimed at facilitating online processing of population documents. Despite its purpose, the platform still faces several challenges, including difficulties in understanding service procedures, lengthy account verification, and errors in document submission. This study evaluates the quality of the POSKetanmu website using the E-GovQual model, which consists of six dimensions: Ease of Use, Reliability, Trust, Functionality of the Interaction Environment, Information Content and Display, and Citizen Support. To determine service priorities, the Importance–Performance Analysis (IPA) method was employed. Data were collected from 391 valid respondents using a five-point Likert scale. The results reveal an average conformity level of 96% and an overall gap score of –0.17, indicating that performance lags slightly behind user expectations. Indicators located in Quadrant I, particularly RB1–RB4, EU1, and FI2, were identified as priority areas requiring immediate attention. These findings suggest that improvements in system reliability, interface navigation, and interactive features are essential. The integration of E-GovQual and IPA not only provides practical insights for policy-making but also offers a valuable framework for advancing digital government evaluation.
Analyzing User Acceptance Factors in Digital E-Ticketing Systems Using Extended UTAUT2 Framework Achmad Rafi Argya Rasya; Anita Wulansari; Eristya Maya Safitri
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.3089

Abstract

Digital ticketing platforms are reshaping fan engagement in Indonesia’s football ecosystem. This study examines acceptance of PSSI’s Kita Garuda platform by testing how instrumental benefits (usefulness and ease), social cues, enjoyment, price value, and enabling conditions relate to users’ intention to keep using the service. We extend UTAUT2 with two well-motivated additions: Service Satisfaction, which captures whether the end-to-end experience meets expectations, and Psychological Discomfort, which indexes anxiety or unease when transacting online. Using survey data and Partial Least Squares Structural Equation Modeling with bootstrapping, we find that Performance Expectancy (t=4.58, p<0.001), Effort Expectancy (t=3.92, p<0.001), Hedonic Motivation (t=5.03, p<0.001), Price Value (t=4.20, p<0.001), and Social Influence (t=3.12, p=0.002) significantly predict continued intention, whereas Facilitating Conditions (t=1.45, p=0.144) and Habit (t=1.60, p=0.110) do not. Measurement quality met conventional thresholds (α≥0.85; CR>0.90; AVE>0.50). Service Satisfaction helps explain why benefits translate into ongoing use higher satisfaction strengthens the link between perceived benefits and intention (partial mediation). Psychological Discomfort weakens the positive association between intrinsic drivers especially enjoyment and intention (interaction significant, p<0.05). Results are robust to alternative specifications and item-deletion diagnostics; bootstrapped confidence intervals exclude zero across significant paths. Practical implications are clear: reduce sources of anxiety (transparent pricing, reliable payment and QR validation, responsive helpdesk), and invest in a seamless, enjoyable flow to elevate satisfaction and loyalty. By reporting effect magnitudes and significance, this study offers transparent account of drivers continued use for sports ticketing in an emerging market context and points to actionable levers for platform design and fan experience.
Accuracy of Kidney Disease Expert System Based On Certainty Factor and Dempster Shafer Algorithm Agussalim; Nani Astuti Triana; Eristya Maya Safitri; Anita Wulansari; Seftin Fitri Ana Wati
IJCONSIST JOURNALS Vol 3 No 2 (2022): March
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v3i2.66

Abstract

The information technology developments today resulted in several innovations, including the existence of an Expert System. The systems help diagnose diseases without directly meeting with experts/doctors. Many researchers have proposed algorithms to improve the accuracy of the expert system to approach the diagnosis by experts/doctors, including certainty factor and dempster shader. This study compares the algorithm's accuracy with the results of expert diagnosis of kidney disease. The expert system was developed using UML and a web-based version. From the comparison results, the dempster shaver algorithm has an accuracy rate of 80%, while the certainty factor is 60% compared to expert diagnoses.
ANALISIS E-GOVERNMENT: SYSTEMATIC LITERATURE REVIEW TERHADAP TREN PENELITIAN DAN MODEL KESUKSESAN SISTEM INFORMASI DALAM LAYANAN DIGITAL PEMERINTAH Dwi Septiajayanti; Anita Wulansari; Muhammad Septama Prasetya
Seminar Nasional Pariwisata dan Kewirausahaan (SNPK) Vol. 5 (2026): MEI
Publisher : Sahid University Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36441/snpk.vol5.2026.483

Abstract

Perkembangan teknologi informasi dan komunikasi telah mendorong transformasi digital dalam penyelenggaraan pemerintahan atau dapat dikenal dengan e-government. E-government merupakan pemanfaatan teknologi informasi dan komunikasi oleh pemerintah dalam menyediakan layanan publik dan bertujuan untuk meningkatkan efisiensi administrasi, transparansi, serta kemudahan akses masyarakat terhadap layanan publik. Meskipun berbagai penelitian telah dilakukan untuk mengkaji implementasi layanan e-government, namun masih terdapat perbedaan dalam penggunaan model teoritis, variabel penelitian yang memengaruhi keberhasilan sistem informasi. Oleh karena itu, penelitian ini bertujuan untuk melakukan Systematic Literature Review (SLR) guna mengidentifikasi model penelitian yang digunakan, serta variabel-variabel signifikan yang memengaruhi kesuksesan layanan digital pemerintah. Penelitian ini menganalisis 30 artikel ilmiah terdahulu yang diterbitkan pada periode 2021 hingga 2026 dari berbagai sumber seperti Google Scholar dan ScienceDirect. Hasil kajian menunjukkan bahwa model evaluasi kesuksesan sistem informasi yaitu model DeLone dan McLean sebanyak 21 penelitian yang digunakan untuk menganalisis sistem informasi dalam konteks e-government. Hasil penelitian ini diharapkan dapat memberikan kontribusi berupa pemetaan komprehensif mengenai model dan variabel penelitian, serta guna menjadi dasar konseptual bagi penelitian selanjutnya dalam mengembangkan model penelitian yang lebih komprehensif dalam konteks layanan e-government.