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All Journal Jurnal Bina Praja Jurnal Ilmiah Administrasi Pemerintahan Daerah
Taebenu, Melianus Mesakh
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Humanities Environmental Science Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences

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Mengintegrasikan Budaya Lokal dalam Kota Cerdas: Kolaborasi Tata Kelola Berbasis ‘Sombere’ di Kota Makassar, Indonesia Setiawan, Irfan; Hendra, Asep; Taebenu, Melianus Mesakh; Johannes, Ayu Widowati; Sidiq, Fathir Fajar
Jurnal Bina Praja Vol 16 No 3 (2024)
Publisher : Research and Development Agency Ministry of Home Affairs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21787/jbp.16.2024.541-556

Abstract

This research aims to examine the integration of local culture in a smart city. The novelty of this research introduces the concept of a Culturally Integrated Smart City, which emphasizes the importance of integrating the Smart City technology framework with local cultural values so that the development of smart cities becomes more inclusive, sustainable, and rooted in local wisdom. The research used a descriptive qualitative. The main data source in this research was obtained from informants. The initial informants were selected purposefully: people who understand problems in collaborative governance and smart cities. The research found that effective communication through face-to-face dialogue in development planning provides space for the community to convey aspirations, which become part of government policy. In addition, building trust between the government and the community has proven crucial in managing Smart City initiatives, especially in developing technological infrastructure such as CCTV surveillance systems and tourist alley revitalization programs. The commitment of local governments, the private sector, and active community participation in every stage of the implementation of the Sombere-based Smart City in Makassar reflects solid collaboration based on local cultural values. The limitations of this research emphasize the aspects of collaboration and cultural integration in Smart Cities but have not discussed in depth the technical and economic aspects that also affect the sustainability of Smart City.
INTEGRATION OF DATA SCIENCE AND AI ENGINEERING FOR CLUSTERING AND FORECASTING OF WEST JAVA REGIONAL BUDGET 2015–2024 Setiawan, Muh Rivandy; Taebenu, Melianus Mesakh
Jurnal Ilmiah Administrasi Pemerintahan Daerah Vol 17 No 2 (2025): Regional and Local Government Resources
Publisher : Post Graduate School of Government Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33701/jiapd.v17i2.5629

Abstract

The management of regional revenue and expenditure budgets (APBD) plays a critical role in supporting local economic development. However, conventional evaluations often fail to capture complex patterns and long-term fiscal dynamics. This study integrates Data Science and AI Engineering approaches to analyze APBD data of municipalities and regencies in West Java Province for the 2015–2024 period. The workflow begins with data preparation, including cleaning, normalization, and the construction of derived variables such as year-on-year growth, the ratio of personnel to capital expenditure, and surplus/deficit status. Exploratory Data Analysis (EDA) was conducted through trend visualization and distribution analysis across regions. Clustering was carried out using the K-Means algorithm and compared with alternative methods such as DBSCAN and hierarchical clustering, evaluated by Silhouette Score and Davies-Bouldin Index. For forecasting, the study employed time-series models ranging from ARIMA and Prophet to advanced LSTM, with accuracy measured by RMSE and MAPE. The findings reveal substantial disparities across regions, such as clusters of high-growth yet recurrent deficit areas, as well as fiscally stable but small-capacity regions. Forecasts for 2025–2026 provide projections of revenue and expenditure, which serve as evidence-based guidance for regional fiscal planning. The main contribution of this research lies in offering a data-driven framework that not only explains historical fiscal performance but also delivers actionable policy recommendations for local governments in West Java.
Co-Authors Hendra, Asep Johannes, Ayu Widowati Setiawan, Irfan Setiawan, Muh Rivandy Sidiq, Fathir Fajar