Abstract:Village infrastructure development planning often faces challenges in determining priorities due to limited budget allocations and assessment mechanisms that still tend to be subjective. This study aims to build an objective,…
tive, transparent, and measurable Decision Support System (DSS) to determine the priority order of infrastructure development proposals in Asam Jawa Village, Torgamba District. The applied solution integrates the Rank Order Centroid (ROC) method to calculate criteria weighting based on relative importance, and the Simple Additive Weighting (SAW) method to process the alternative ranking calculation. The evaluation was conducted on 23 physical infrastructure proposals using four main criteria: urgency level (C1), physical condition (C2), benefits (C3), and population size (C4). The results indicate that alternative A4 (Construction of Borehole Well and Public Toilet at Field) and alternative A18 (Sejahtera Street Concrete Cast) achieved the highest preference score of 1.000000, followed by other infrastructure proposals in a structured manner. The combined use of ROC and SAW methods is proven to be effective and consistent in generating accurate rural development priority rankings. The integration of these two methods facilitates village government officials in making accountable decisions while minimizing cognitive bias risks in optimizing development budget allocation.
Abstract:Abrogation (abrogation) holds a central, vexed position in Islamic legal-theological hermeneutics. Classical uṣūl al-fiqh elaborated a technical theory of abrogation that attempted to mediate the diachronic process of revelation…
revelation and the demands of fixity of legal judgment (ḥukm). Tradition receipts that later scripture abrogates earlier scripture wherever actual, unavoidable contradiction is found, classically expressed as "al-nāsikh wa-l-mansūkh.". Pre-modern thinkers classified modes and cases of abrogation, inferred them from revelational phases, and counted suspected cases throughout the Qur'an and Sunna. Modern scholarship avoids both epistemic pretensions and hyperbolic earlier assertions of abrogation. The article tracks early meanings, introduces intratraditional caution that moderated abrogation, and evaluates recent re-analyses based on coherence theory, maqāṣid (purposes), historicization in context, and ethics. It argues that abrogation was included in pre-modern dogmatics as a component of a package of other hermeneutical strategies (specification, restriction, prioritization, suspension) and that available resources allow for a less ambitious, economy-of-means approach. A renovated dogma leaner, evidence-based, and syncretized with maqāṣid and semantics can ensure the normativity of revelation and make the law more attentive to modern moral concerns, such as gender justice, religious pluralism, and violence. The paper reaches its climax with the proposal of a "manifest conflict resolution" regime. where abrogation is held in reserve as a last resort and not the initial starting point and has ramification for legal rulings (fatwā), legal codification and education more widely. (Hallaq 1993; Kamali 2003; Auda 2008; Rahman 1982; Abu Zayd 2006).
Abstract:This study aims to evaluate the stability of three rock slopes in an artisanal kaolin mine in Semin, Gunungkidul, Yogyakarta, Indonesia, using deterministic and probabilistic approaches, and to identify the geotechnical…
parameters most influencing slope stability. The evaluation is conducted in compliance with Indonesian Mining Regulation (Kepmen ESDM No. 1827 K/30/MEM/2018) to provide quantitative geotechnical evidence for a mine that has been operated without prior formal geotechnical assessment. Field data were collected using the scanline method to characterize rock mass discontinuities. Laboratory tests comprising direct shear and physical properties tests were conducted to determine cohesion (c), friction angle (ϕ), and unit weight (γ) for each slope. Seismic coefficient (ks = 0,0913) was incorporated as a dynamic loading parameter. Slope stability was analyzed using the General Limit Equilibrium (GLE) method to obtain the deterministic Factor of Safety (FoS). Monte Carlo simulation (N = 10.000 iterations) was applied to determine the Probability of Failure (PoF), coefficient of variation of FoS (CoV), and reliability index (β). Sensitivity analysis was performed to quantify the contribution of each geotechnical parameter to FoS reduction. Results show that FoS values ranged from 2,019 (Slope III) to 10,55 (Slope II), all exceeding the regulatory minimum of 1,1. The PoF was 0,00% for all three slopes, well below the maximum allowable limit of 25%, with reliability indices ranging from 5,70 to 31,38. The CoV of FoS ranged from 3% to 9%, indicating low dispersion in stability outcomes despite parameter variability. Sensitivity analysis identified cohesion as the most dominant parameter in Slopes I and II, contributing 28% and 31% to FoS reduction respectively, while Slope III exhibited near-equal contributions from cohesion (20%) and friction angle (21%), reflecting its lower shear strength conditions. All three slopes satisfy the acceptance criteria of Kepmen ESDM No. 1827 K/30/MEM/2018 under current geotechnical and geometric conditions. The combined deterministic-probabilistic approach provides a more comprehensive slope safety assessment than deterministic analysis alone and is recommended for application in artisanal kaolin mining operations. Cohesion is identified as the critical parameter to be monitored and preserved to maintain slope stability.
Abstract:Household food security remains a critical challenge for many millennial families, particularly in urban areas where rising food prices, unstable household income, and changing consumption patterns increase financial vulnerability.…
nerability. While previous studies have primarily emphasized economic factors, limited attention has been given to the combined roles of financial literacy and self-control in strengthening household food security. This study aims to examine the effects of financial literacy and self-control on household food security among millennial families in Mattoangin Village, Makassar City. A quantitative research design was employed using a survey of 180 millennial households selected through purposive sampling. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results reveal that financial literacy has a positive and significant effect on household food security by improving financial planning and resource allocation. Self-control also exerts a significant positive influence by promoting disciplined spending behavior and reducing impulsive consumption. Furthermore, financial literacy and self-control jointly explain a substantial proportion of household food security. These findings highlight that both financial knowledge and behavioral discipline are essential for enhancing household resilience. The study recommends strengthening community-based financial education and behavioral intervention programs to promote sustainable household food security among urban millennial families.
Abstract:This study aims to examine the role of competition law in regulating corporate conduct, protecting consumers, and enhancing economic efficiency in contemporary market economies. Amid increasing market concentration, digital…
tal platform dominance, and the emergence of data-driven business models, competition law has become an essential regulatory instrument for ensuring fair competition, safeguarding consumer interests, and promoting sustainable economic development. This study employs a Systematic Literature Review (SLR) based on the PRISMA 2020 framework. Relevant literature was systematically collected from six major academic databases, namely Scopus, Web of Science, ScienceDirect, SpringerLink, Emerald Insight, and Taylor & Francis Online. The review process included identification, screening, eligibility assessment, and inclusion stages. A total of 78 peer-reviewed articles published between 2015 and 2025 were selected and analyzed using thematic synthesis techniques. The findings reveal that competition law performs four interconnected functions. First, it serves as a regulatory mechanism that shapes corporate behavior and prevents anticompetitive practices, including monopolization, cartel agreements, price-fixing, and abuse of dominant positions. Second, competition law enhances consumer welfare by promoting competitive prices, product quality, innovation, and consumer choice. Third, effective competition policy contributes to allocative, productive, and dynamic efficiency, thereby supporting long-term economic growth. Fourth, digital markets introduce new challenges associated with data concentration, platform dominance, network effects, and algorithmic pricing, requiring adaptive regulatory frameworks and strengthened institutional capacity.This study contributes to the literature by integrating Economic Efficiency Theory, Consumer Welfare Theory, Competition Policy Theory, and Regulatory Governance Theory into a comprehensive analytical framework that explains the relationship between competition law, corporate conduct regulation, consumer protection, and economic efficiency.The findings provide policy recommendations for competition authorities and governments, particularly in developing economies, regarding digital competition governance, institutional strengthening, cross-border enforcement cooperation, and data-driven market regulation.Unlike previous studies that focus on isolated dimensions of competition law, this research offers a holistic synthesis of legal, economic, consumer welfare, and governance perspectives. It further highlights how competition law can address emerging challenges in the digital economy while simultaneously promoting consumer protection and economic efficiency.
Abstract:This study discusses the effectiveness of the Swallow Nest Tax in increasing Regional Original Revenue (PAD) in Luwu Regency. The research problem focuses on the low realization of tax revenue compared to the set target…
and the suboptimal contribution of the swallow nest tax to PAD. The objective of this study is to analyze the level of effectiveness of the swallow nest tax and the factors influencing it.
This research uses a descriptive qualitative approach with data collection techniques through interviews and documentation. Data analysis was conducted using an elasticity ratio approach and an interactive analysis model. The results show that the swallow nest tax has not been effective in increasing PAD, with an average elasticity value of -0.03% (inelastic) during the 2022–2024 period. The realization of tax revenue is still far below the established target. This condition is influenced by low taxpayer awareness, suboptimal business reporting, limited supervision, and unstable harvest yields. As a result, the tax effectiveness remains low and has not provided a significant contribution to PAD.
Abstract:This study explored how cost structure, land productivity, and price efficiency shape the income of micro scale shallot farmers in Brebes Regency based on farmers' reported financial experiences and informants' financial…
narratives. Using an exploratory qualitative approach, data were collected from five shallot farmers, one agricultural extension officer, and one farmer group leader through semi-structured interviews, non-participant observation, and documentation. The data were analyzed through thematic analysis supported by source and technique triangulation. The findings show that reported income is highly vulnerable to variable production costs, particularly labor, seed, and pesticides. Land productivity is closely related to land ownership status and farming scale, while price efficiency is constrained by farmers' weak bargaining position and dependence on intermediaries. Farmers apply adaptive strategies such as delaying sales, drying harvested shallots, and converting part of the harvest into seed stock. However, these strategies are limited by liquidity needs, storage capacity, product quality, and market uncertainty. The study concludes that improving farmers' income stability requires integrated cost control, asset productivity, price information access, post-harvest support, and stronger farmer institutions.
Abstract:This study aims to describe the following variables: (1) digital technology adoption, (2) business resilience, (3) women’s empowerment, and (4) financial literacy, and to analyze the effect of digital technology adoption…
on on business resilience mediated by women’s empowerment and moderated by financial literacy. The research employed a quantitative explanatory design with structural model analysis using Partial Least Squares Structural Equation Modeling (PLS-SEM). Data were collected through an online questionnaire (Google Form). The population consisted of 1,556 women entrepreneurs who own Micro and Small Industry (MSI) units in the food subsector, with 359 respondents selected using proportionate allocation sampling and located in Tasikmalaya, Sukabumi, Bogor, and Bandung. The findings indicate that the level of digital technology adoption among women entrepreneurs is in the very high category, while business resilience, women’s empowerment, and financial literacy are in the high category with potential for further improvement. Digital technology adoption has a positive effect on business resilience and women’s empowerment, implying that higher levels of technology adoption are associated with stronger business resilience and greater women’s empowerment. Women’s empowerment also positively affects business resilience and mediates the relationship between digital technology adoption and business resilience. In addition, higher financial literacy strengthens the effect of digital technology adoption on business resilience, thus functioning as an enhancing moderator in this relationship. The results imply that strengthening business resilience among women entrepreneurs can be achieved by enhancing digital technology–based resources and strategies, integrated with women’s empowerment as a mediating mechanism and financial literacy as a moderating capability for the strategic use of digital technology. Practically, the findings underscore the importance of advanced training programs and an integrated digital ecosystem to reinforce digital technology adoption, women’s empowerment, and financial literacy, while simultaneously building a collaborative ecosystem and continuous interventions focused on sustainable business resilience.
Abstract:This paper uses Time-Driven Activity-Based Costing (TDABC) in identifying cost per student, program profitability, and breakeven point across programs and branches at PT Kreasi Edulab Indonesia as it seek to solve the cost…
st allocation issues that arise due to the differences in instructional hours, staffing activity, and resource usage in providing educational services. The study will employ a quantitative methodology in which they will formulate TDABC-based cost modelling and simulating models to assign operational costs to the real instructional time and teaching capacity. Primary data were gathered by direct observation and internal cost structure mapping, whereas the secondary data were in the form of financial records, class schedules, and student enrollment reports. The analysis combines descriptive statistics, TDABC simulations, program profitability analysis, breakeven analysis, and sensitivity analysis to measure the cost per student, program level operating performance, minimum viable class sizes, and how the major financial drivers influence the operating profit. The findings indicate significant differences in cost per student and profitability of programs and size of a branch with some branches having lower levels of profitability below sustainable levels of breakeven despite the similar levels of revenues. The sensitivity analysis shows that average revenue per student is the most sensitive variable of operating profit, over and above the fluctuations in the enrolment volume and cost structure. Altogether, the results indicate that TDABC contributes to the increase of cost transparency and offers a solid foundation to the pricing, class consolidation, and operational decision-making.
Abstract:This study addresses the limitations of traditional Customer Relationship Management (CRM) systems by analyzing the adoption and impact of Artificial Intelligence (AI) integration (AI-Powered CRM). Informed by the Technology…
logy Acceptance Model (TAM) for employee perception and the Resource-Based View (RBV) for strategic capability, the primary objective is to evaluate how AI-driven automation enhances customer service processes and, subsequently, impacts marketing efficiency. The research employs an exploratory qualitative case study design, utilizing in-depth interviews, document analysis, and system observation on a single organization to gather rich, contextual data. The results demonstrate that AI integration significantly accelerated service, with chatbots handling 65–70% of routine queries and drastically reducing response times. Operationally, these improvements fostered high employee acceptance (TAM). Strategically, the AI-Powered CRM generated refined predictive analytics, resulting in a 12–18% improvement in campaign conversion rates and efficient resource allocation, confirming that AI creates a valuable and difficult-to-imitate strategic capability (RBV). The study concludes that AI-Powered CRM is a critical enabler for both operational efficiency and long-term strategic competitiveness in digital markets.