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IMPLEMENTATION OF THE CIRCULAR ECONOMY THROUGH COMMUNITY EMPOWERMENT: TRANSFORMING SPENT COFFEE GROUNDS INTO AROMATHERAPY CANDLES AND ROOM FRESHENERS IN JINGKANG VILLAGE

Luthfianto, Saufik, Nurwildani, M. Fajar, Hidayat, Tofik, Siswiyanti, Siswiyanti, Kosasih, Rusman, Wijaya, Yoma Duta, Noviana, Karisma Lela
Abstract: Spent coffee grounds are one of the organic wastes that remain underutilized despite their significant potential to be transformed into value-added products. This community service program aimed to enhance the knowledge&#8230; and practical skills of the residents of Jingkang Village in converting spent coffee grounds into aromatherapy candles and air fresheners based on the principles of the circular economy. The program employed a Participatory Action Research (PAR) approach consisting of problem identification, program planning, training implementation, monitoring and evaluation, and reflection. The activity involved 15 participants, including community members, micro-enterprise actors, and women's community groups. Program effectiveness was evaluated using pre-test and post-test assessments and analysed through a Paired Sample t-test. The results demonstrated that the average participant score increased from 46.70 to 86.00, representing an 84.15% improvement. Statistical analysis confirmed a significant difference between pre-test and post-test scores (p < 0.001). Furthermore, all program success indicators were achieved, including a 100% attendance rate, 100% participant competency in producing the products, a participant satisfaction level of 93.30%, and all products meeting usability standards. The novelty of this program lies in integrating the Participatory Action Research (PAR) approach, circular economy principles, and quantitative statistical evaluation into a community empowerment model utilizing spent coffee grounds as value-added products. This model has strong potential to be replicated in other coffee-producing communities to promote sustainable waste management and local economic development.

Penerapan Metode MOORA Pada Sistem Pendukung Keputusan Pemilihan Ketua Badan Eksekutif Mahasiswa

Lidya Rizki Ananda, Julianto Simatupang, Rio Bayu Sentosa, Nadia Astri Wulandari, Tika Christy
Abstract: Pemilihan Ketua Badan Eksekutif Mahasiswa (BEM) merupakan proses penting dalam menentukan mahasiswa yang memiliki kompetensi terbaik untuk memimpin organisasi kemahasiswaan. Namun, proses seleksi yang masih bergantung pada&#8230; da popularitas dan penilaian subjektif berpotensi menghasilkan keputusan yang kurang optimal. Penelitian ini bertujuan membangun Sistem Pendukung Keputusan (SPK) menggunakan metode Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) untuk membantu proses pemilihan Ketua BEM secara objektif. Data penelitian diperoleh melalui wawancara dengan pembina BEM untuk menentukan kriteria dan bobot penilaian. Lima kriteria yang digunakan meliputi kepemimpinan, kemampuan komunikasi, pengalaman organisasi, integritas, dan indeks prestasi kumulatif (IPK). Tahapan metode MOORA terdiri atas penyusunan matriks keputusan, normalisasi, perhitungan nilai optimasi, dan proses perangkingan. Hasil penelitian menunjukkan bahwa alternatif K1 memperoleh nilai optimasi tertinggi sebesar 0,473 sehingga direkomendasikan sebagai Ketua BEM terpilih. Penerapan metode MOORA mampu menghasilkan proses pengambilan keputusan yang lebih objektif, sistematis, transparan, dan akurat sehingga dapat dijadikan sebagai alat bantu dalam menentukan Ketua BEM berdasarkan kriteria yang telah ditetapkan. The selection of the Student Executive Board (BEM) President is an important process in determining the most qualified student to lead the student organization. However, conventional selection processes often rely on popularity and subjective judgments, which may lead to less optimal decisions. This study aims to develop a Decision Support System (DSS) using the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) method to support a more objective selection process. Research data were collected through interviews with BEM advisors to determine the assessment criteria and their corresponding weights. Five criteria were used, namely leadership, communication skills, organizational experience, integrity, and grade point average (GPA). The MOORA method consists of decision matrix construction, normalization, optimization value calculation, and ranking. The results indicate that candidate K1 achieved the highest optimization value of 0.473 and was therefore recommended as the selected BEM President. The implementation of the MOORA method provides a more objective, systematic, transparent, and accurate decision-making process, making it an effective tool for supporting the selection of the most suitable BEM President based on predetermined criteria.

Determinants of The Indonesian Composite Stock Index: An Error Correction Model Approach

Febriani, Nindy, Wendy, Wendy
Abstract: This study examines the effects of the Dow Jones Industrial Average (DJIA), world gold prices, world oil prices, and the rupiah exchange rate on the Composite Stock Price Index (CSPI) in Indonesia. The study uses monthly&#8230; secondary data from January 2015 to December 2025, comprising 132 observations. CSPI data were obtained from the Indonesia Stock Exchange, DJIA, gold price, and oil price data were obtained from Investing.com, while exchange rate data were sourced from Bank Indonesia. The analysis employed the two-step Engle-Granger Error Correction Model (EG-ECM) to identify long-run relationships and short-run adjustment dynamics. The long-run results show that gold prices, world oil prices, and the DJIA have positive and significant effects on the CSPI, whereas the rupiah exchange rate has a negative but insignificant effect. In the short run, the exchange rate has a negative and significant effect on the CSPI, while gold prices, oil prices, and the DJIA have positive and significant effects. The Error Correction Term coefficient of -0.1325 is negative and significant, indicating that approximately 13.25% of short-run disequilibrium is corrected each month toward long-run equilibrium. These findings imply that investors and policymakers should closely monitor global market conditions, commodity price movements, and exchange rate volatility to support investment decisions and maintain Indonesian capital market stability

Analysis of the Effectiveness of Swallow Nest Tax in Increasing Regional Original Revenue in Luwu Regency

Wulandari, Dinda Eka, Afiah, Nur, Nuraisyiah
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&#8230; 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.

Indonesian Stock Market Reaction to the Escalation of the 2026 Iran Conflict: Evidence from an Event Study of Energy Sector Firms

Nidrah, Rika Kurniawati, Mufidatul Azmi
Abstract: This study examines the reaction of the Indonesian capital market to the escalation of the Iran conflict in 2026 using an event study approach focusing on energy sector firms listed on the Indonesia Stock Exchange. Market&#8230; t reactions are measured using Average Abnormal Return (AAR) and Trading Volume Activity (TVA). The observation period includes an 11-day event window (t−5 to t+5) and a 100-day estimation period. Statistical tests employed include the Shapiro–Wilk normality test, one-sample t-test, paired sample t-test, and Wilcoxon Signed Rank Test. The findings indicate that abnormal returns are only significant around the event date but do not differ significantly between pre- and post-event periods. In contrast, trading volume activity shows consistent and significant changes. These results suggest that geopolitical conflict information is more strongly reflected in trading behavior than in price adjustments. This study contributes to the literature by providing sector-specific evidence from an emerging market and highlighting behavioral market responses.

The Relationship Between Work Culture And Employee Performance: Mediation Of Job Satisfaction And Moderation Of Leadership In Bank BJB Syariah

Handayani, Tri Utami, Mukhsin, Moh.
Abstract: This study examines work culture, job satisfaction (mediator), and leadership (moderator) as predictors of employee performance at PT Bank BJB Syariah Serang Branch, where average KPI achievement stood at only 90.5% in 2024.&#8230; 024. A census survey of all 190 employees was analyzed using PLS-SEM via SmartPLS.The results show: (1) work culture is positively associated with employee performance (β = 0.512, p < .001); (2) work culture is positively associated with job satisfaction (β = 0.991, p < .001); (3) job satisfaction is positively associated with employee performance (β = 0.160, p < .001); (4) job satisfaction partially mediates the work culture–performance relationship (β = 0.159, p < .001); and (5) leadership significantly moderates the work culture–performance relationship with a buffering effect (p < .001). This study extends JD-R Theory to faith-based organizations by demonstrating that Islamic values reshape job resources: work culture becomes a dominant predictor of satisfaction, and leadership operates as a buffering moderator through substitution mechanisms. These findings highlight the strategic importance of strengthening Islamic work culture, effective leadership, and job satisfaction as key predictors of employee performance in Islamic banking.

Implementation of Time-Driven Activity-Based Costing In an Education Service Company

Isnaeni, Muharam, Faturohman, Taufik
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&#8230; 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.

SMART Instagram Optimization: A Framework for Building Malabar’s Stronger Brand Awareness and Identity in the Digital Era

Hasbiah, Sitti
Abstract: This study aims to improve the internal capacity of Malabar MSMEs in managing digital marketing through an internal training program designed based on the SMART Framework approach. The main problem faced by Malabar is the&#8230; e lack of staff understanding in managing social media, especially Instagram, which impacts weak brand awareness and brand identity. This study uses a descriptive qualitative approach with a project-based learning method, in which researchers are actively involved in the planning, implementation, and evaluation of the training program. Data were collected through participant observation, semi-structured interviews, and documentation during the training process. The training objectives were formulated specifically, measurable, achievable, relevant, and time-limited, in accordance with the SMART principles. The results showed a significant increase in staff understanding of content planning, creating visual materials consistent with brand identity, and using Instagram analytics features. The post-test showed an increase in the average score of participants, and the MSMEs' digital activities became more structured. These findings indicate that internal training designed with the SMART approach is effective in building staff digital competencies and supporting brand image strengthening on social media. Overall, this study shows that improving internal digital literacy is a strategic step that can strengthen the competitiveness of MSMEs in the ever-evolving digital ecosystem

Enhancing MSME Competitiveness Through Financial Literacy and Digital Transformation in Indonesia

Idrus, Muhammad Ishlah, Rastina
Abstract: Micro, Small, and Medium Enterprises (MSMEs) are a cornerstone of Indonesia's economy, contributing 60.5% to the national GDP and employing 97% of the workforce. However, MSMEs face challenges such as low financial literacy&#8230; acy and limited adoption of digital technologies, which hinder their competitiveness in the global market. This study explores the synergistic role of financial literacy and digital transformation in enhancing MSME performance and competitiveness. Using a qualitative approach, data were collected through in-depth interviews, focus group discussions, and policy document analysis. The findings reveal that the average financial literacy level among MSME actors in Indonesia is only 38%, leading to poor financial management and limited access to formal financing. On the other hand, only 16% of MSMEs have integrated digital technologies into their operations, with those who did reporting significant improvements in efficiency and revenue. The integration of financial literacy with digital tools was found to have a multiplier effect, enabling better resource management, improved decision-making, and enhanced market competitiveness. This study highlights the importance of targeted policies to combine financial literacy training with digital technology adoption. By addressing challenges such as infrastructure limitations and resistance to change, stakeholders can foster inclusive economic growth and empower MSMEs to thrive in the digital economy.

Farmers' Motivation, Driving Factors and Inhibiting Factors in Clove Cultivation in North Kolaka District

Nurdiana
Abstract: Cloves have a significant role in economic development in Indonesia. The development of clove production and prices in Indonesia from 2003 - now fluctuates with a tendency to increase every year with an average growth rate&#8230; te of 1%. However, the price issue is the main problem in clove cultivation. This study aims to see how much the level of farmer motivation is related to clove cultivation and see the relationship between factors driving farmer motivation and the level of farmer motivation, and factors inhibiting farmer motivation and the level of motivation of farmers in North Kolaka Regency. This study used a qualitative approach by observing and interviewing farmers in North Kolaka district, while the number of informants in this study were 15 informants