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Identification and Priority Analysis of Leading Non-Extractive Economic Potentials in Bontang City Yogi Octavian Murdiono Putra; A. Faroby Falatehan; Feryanto
Jurnal Ilmiah Manajemen Kesatuan Vol. 14 No. 2 (2026): JIMKES Edisi March 2026
Publisher : LPPM Institut Bisnis dan Informatika Kesatuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37641/jimkes.v14i2.5326

Abstract

Bontang City’s economy is dominated by non-renewable extractive industries, which contribute over 70% of regional GDP and create structural vulnerability and fiscal dependence on revenue-sharing funds. This study aims to identify alternative leading potentials and determine development priorities beyond extractive sectors to support sustainable, renewable-based economic resilience. The novelty lies in integrating sectoral analysis using Location Quotient (LQ) with product-level prioritization through the Rank Order Centroid (ROC) method, supported by regional industrial planning documents. A mixed-methods approach is applied, using secondary data on GRDP at constant prices (2015–2024) and industrial plans, combined with primary data from questionnaires administered to 41 triple helix stakeholders. The findings indicate that the Manufacturing Industry (LQ 2.193) and Corporate Services (LQ 1.492) are the leading sectors based on the LQ analysis. Within the manufacturing industry, eleven alternative superior potentials based on renewable resources have been identified, and based on the ROC analysis, processed fishery and marine products (preference value: 136.871) emerged as a top development priority. These findings provide an evidence-based framework for reducing dependence on the extractive sector and strengthening sustainable regional economic resilience.
Green Budgeting Strategy for Waste Sector Greenhouse Gas Mitigation: A QSPM-Based Approach in Bogor City Ridwan Adithiansyah; A. Faroby Falatehan; Sri Mulatsih
Journal of Business, Social and Technology Vol. 7 No. 3 (2026): Journal of Business, Social and Technology
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jbt.v7i3.731

Abstract

Background: The waste sector is a local authority emission source whose mitigation depends on structure of public expenditure rather than its size alone. Objective: This study formulates a budget allocation strategy for the Bogor City Environmental Agency (Dinas Lingkungan Hidup [DLH]) to support greenhouse gas (GHG) emission reduction in the waste sector. Methods: Spending data from 2017–2024 were functionally reclassified into core mitigation, downstream operational, and supporting components to ensure comparability across the 2021 fiscal nomenclature transition. The analysis combined descriptive methods, exploratory multiple linear regression with a COVID-19 dummy variable and a two-year lag (n = 6), and a strategic management framework comprising the Internal Factor Evaluation (IFE) matrix, External Factor Evaluation (EFE) matrix, Internal–External (IE) matrix, Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis, and Quantitative Strategic Planning Matrix (QSPM) assessed by nine purposively selected expert respondents. Results: Core mitigation activities absorbed only approximately one-sixth of total mitigation spending, while downstream operations dominated budget allocation, and proportion allocated to core mitigation tended to shrink after 2018. Exploratory regression indicated that each additional million rupiah allocated to core mitigation was associated with an approximately 3.2-ton reduction in CO₂-equivalent (CO₂eq) emissions two years later (p = 0.021). The strategic position analysis placed DLH in a hold-and-maintain quadrant. Among seven identified strategies, large-scale organic waste processing through partnerships received the highest QSPM score, with the top four strategies forming a complementary priority cluster. Conclusion: The findings indicate allocative quality, rather than budget volume alone, determines the effectiveness of mitigation spending.