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All Journal Takuana: Jurnal Pendidikan, Sains, dan Humaniora Journal of Information Technology and its Utilization
Hartanto, Krisnawan
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Arts Humanities Computer Science & IT Education Engineering Social Sciences

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Implementasi Gamifikasi dalam Sektor Publik: Tinjauan Sistematis Berdasarkan Kerangka SPICE Hartanto, Krisnawan
Takuana: Jurnal Pendidikan, Sains, dan Humaniora Vol. 4 No. 4 (2026): Takuana (January-March)
Publisher : MAN 4 Kota Pekanbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56113/takuana.v4i4.410

Abstract

Bureaucratic reform in Indonesia is frequently hindered by procedural rigidity and information asymmetry. This study evaluates the effectiveness of gamification as an intervention strategy to address these challenges. Using a Systematic Literature Review based on the SPICE framework, this research analyzes selected literature from the last decade. The results identify two impact clusters: externally, gamification simplifies abstract regulations into interactive simulations, effectively reducing information asymmetry for citizens. However, there are several factors that influence the effectiveness of gamification, some of which are digital literacy and age. Internally, it enhances Civil Servants' engagement in technical training and mitigates rigid work cultures. The study concludes that gamification serves as a strategic policy instrument rather than mere entertainment. It simplifies bureaucratic complexity and bridges public communication through an adaptive psychological approach. These findings imply that integrating game elements into public services significantly improves voluntary compliance and organizational agility, offering a viable solution for modernizing public administration.
Comparative Analysis of Distance Measures in Bug Report Clustering using Agglomerative Hierarchical Clustering Hartanto, Krisnawan; Suprapto, Suprapto
Journal of Information Technology and Its Utilization Vol 9 No 1 (2026): May 2026
Publisher : Sekolah Tinggi Multi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jitu.9.1.6065

Abstract

Grouping bug reports into clusters can assist in verifying and validating bugs in the software development cycle. One of the clustering methods is Agglomerative Hierarchical Clustering (AHC). It relies on distance calculations to determine the degree of similarity between clusters. One of the distance calculations is the Jaccard coefficient. The Jaccard Coefficient method has the disadvantage that it only considers the same set of words between two documents but does not consider their importance. Previous research added Inverse Document Frequency (IDF) algorithm to the Jaccard coefficient to calculate the importance of word groups and in this research is referred to the weighted Jaccard coefficient. Clustering is carried out using a combination of AHC and that coefficient. The silhouette score is then compared with the silhouette score of AHC with the Jaccard coefficient. Results indicate that increasing term complexity reduces cluster quality, with silhouette scores dropping from 13.13% (bigram) to 0.45% (4-gram). Furthermore, many clusters exhibited negative silhouette scores, highlighting the difficulty of separating high-dimensional bug data using unsupervised methods. In contrast, the supervised classification baseline achieved significantly higher accuracy. This paper contributes a critical analysis demonstrating that while Weighted Jaccard captures semantic nuance, unsupervised clustering remains insufficient for this domain compared to supervised approaches.
Co-Authors Suprapto Suprapto