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All Journal Jurnal Ilmu Pemerintahan, Administrasi Publik, dan Ilmu Komunikasi (JIPIKOM) Indonesian Council of Premier Statistical Science
Prasetyo, Restu
Unknown Affiliation
Humanities Computer Science & IT Economics, Econometrics & Finance Mathematics Public Health Social Sciences

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Analysis of the 2022 Shallot Price Grouping in the Areas of Arengka, Cikpuan, Incense, and Suka Ramai Using the Hierarchical Clustering Method Akbar, Muhammad Rizki; Hasibuan, Muhammad Angga Piansyah; Prasetyo, Restu
Indonesian Council of Premier Statistical Science Vol 4, No 2 (2025): August 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/icopss.v4i2.37870

Abstract

This study aims to analyze the price grouping of shallots in four regions, namely Arengka, Cikpuan, Incense, and Suka Ramai in 2022 using the Hierarchical Clustering method. The data used is secondary data on the price of shallots from each region. The analysis was carried out with a multivariate statistical approach to identify price patterns and form clusters based on price similarities between regions. The results of the study show that the price of shallots in the four regions can be grouped into two main clusters. The first cluster consists of areas with lower shallot prices (<66.67 rupiah), while the second cluster consists of areas with higher prices (>66.67 rupiah). The distance between the clusters of 5.22715 shows a significant difference in price characteristics. These findings provide strategic benefits for industry players and policy makers in optimizing distribution and developing marketing strategies that are more targeted in each region. Overall, the Hierarchical Clustering method has proven to be effective in identifying shallot price patterns and can be used as a basis for data-driven decision-making in the agricultural sector
Analisis Determinan Keberhasilan Implementasi SPBE di Pemerintah Daerah: Pendekatan Structural Equation Modeling (SEM) Prasetyo, Restu
Jurnal Ilmu Pemerintahan, Administrasi Publik, dan Ilmu Komunikasi (JIPIKOM) Vol 7, No 2 (2025): JIPIKOM OKTOBER
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jipikom.v7i2.6246

Abstract

This study aims to measure the significant influence of civil servants’ digital competence, ICT infrastructure, and digital leadership on the successful implementation of the Electronic-Based Government System (SPBE) in local governments. The research focuses on analyzing the determinants of SPBE success using the theoretical frameworks of the Technology-Organization-Environment (TOE) and Technology Acceptance Model (TAM). Data were collected through structured questionnaires administered to 420 civil servants across 35 local governments and analyzed quantitatively using Structural Equation Modeling (SEM). The results indicate that digital competence (β=0.28), ICT infrastructure (β=0.35), and digital leadership (β=0.31) have significant effects on SPBE implementation success. Budget allocation serves as a strengthening moderator of competence, while regulation remains ineffective. The novelty of this study lies in integrating the TOE and TAM frameworks simultaneously within the regional SPBE context in Indonesia, as well as incorporating budget and regulation as moderating variables that have received limited attention in previous research. The findings highlight the importance of synergy among civil servants’ digital competence, adequate ICT infrastructure, and digital leadership in enhancing the success of electronic-based bureaucratic transformation.
Co-Authors Hasibuan, Muhammad Angga Piansyah Muhammad Rizki Akbar, Muhammad Rizki