Abstract:This descriptive qualitative research analyzes the effectiveness of policy implementation on handling vagrants and beggars at the Social Affairs and Community Empowerment Office of Gorontalo City. Four indicators from George…
orge C. Edward III's policy implementation theory—communication, resources, disposition, and bureaucratic structure—are employed as the analytical framework. Field data obtained through observation, interviews, and documentation were systematically analyzed using the data condensation, display, and conclusion drawing model of Miles, Huberman, and Saldana. The findings indicate that the policy implementation on handling vagrants and beggars at the Social Affairs and Community Empowerment Office of Gorontalo City has been running fairly well but has not yet been optimal. In the communication aspect, coordination among implementers has been functioning well; however, information dissemination to target groups and the general public remains suboptimal. In the resources aspect, policy implementation has been supported by human resources, authority, and facilities, yet is still constrained by limited personnel and underutilized facilities and databases. In the disposition aspect, officials demonstrate commitment, responsibility, and a professional attitude in implementing the policy; however, guidance programs have not been able to reach all vagrants and beggars on a sustainable basis. In the bureaucratic structure aspect, policy implementation has been supported by Standard Operating Procedures (SOPs), clear task distribution, and inter-division coordination; nevertheless, SOP implementation in the field still needs optimization to ensure services reach all target groups. Based on these findings, the Social Affairs and Community Empowerment Office of Gorontalo City needs to enhance communication and socialization to target groups, strengthen human resources and supporting facilities, optimize guidance and empowerment programs, and improve inter-agency coordination so that the policy implementation on handling vagrants and beggars can be more effective in improving social welfare.
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…
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.
Abstract:Public service innovation in the development of micro, small, and medium enterprises (MSMEs) in Indonesia has been historically dominated by the managerial logic of New Public Management, which positions efficiency and quantitative…
uantitative targets as the measure of success. This approach fails to build long-term relational capacity among entrepreneurs, government, and the broader supporting ecosystem. This article analyses HETERO SPACE (House of Entrepreneurs, Technology-driven Ecosystem, Resource Optimization, Supportive Programs, Accessible Network, Collaborative Environment), a public service innovation developed by the Cooperatives and SME Office of Central Java Province, which received outstanding recognition in the 2025 Public Service Innovation Competition. The analysis applies a New Public Governance framework with emphasis on two sub-theoretical dimensions, namely co-production and collaborative networking. The research approach is a qualitative case study drawing on secondary data from the official Public Service Innovation System, implementation reports of the Central Java Cooperatives and SME Office, and relevant academic literature. The central argument is that HETERO SPACE is not merely an expanded MSME assistance programmed but a transition in the role of government from a sole service provider to an ecosystem orchestrator that mobilizes resources across actors. Findings indicate that HETERO SPACE success rests on three interrelated conditions, namely a platform design that facilitates inter-actor encounters, trust built through repeated interaction, and institutional commitment from the provincial government to share authority with non-state partners. The article contributes to Indonesian public administration literature by shifting the analytical arena of co-production from the social and health sectors to economic governance, and by demonstrating that New Public Governance principles can be operationalized concretely at the subnational level.
Abstract:This study discusses the optimization of a company's financial performance through working capital management and capital structure policies. To increase profitability (ROA), companies require efficient cash conversion cycle…
ycle management and optimal funding supported by internal company characteristics. The research problem proposed is to determine how to achieve increased profitability in an automotive distributor company through the efficiency factors of Cash Conversion Cycle (CCC), Firm Size (Firm Size), Leverage (DER), and historical profitability factors (ROA_Lag). The sample of this study is the financial statements of PT New Ratna Motor (Nasmoco Group) in Semarang City for the 2021-2024 period, which were transformed into quarterly data (N=16). The results of data analysis indicate that this research model has a good level of feasibility (goodness of fit) with the ability to explain variations in profitability (Adjusted R Square) of 78.1% and successfully overcome autocorrelation interference. Simultaneously, there is a strong relationship between the independent variables and the company's profit movements. Partially, the Cash Conversion Cycle (CCC) variable is proven to have a negative and significant effect on profitability, while the Firm Size and Leverage variables have not shown a significant effect at the 95% confidence level.
Abstract:This study aims to analyze the effect of labor optimization and capital support on the turnover of cassava rengginang home industries in Rubaru District, Sumenep Regency. The study employed a quantitative approach using…
a time series method with secondary data collected from 2012–2024. The variables analyzed consisted of capital and labor as independent variables and turnover as the dependent variable. Data analysis was conducted using multiple linear regression supported by classical assumption tests. The findings indicate that capital has a positive and significant effect on turnover, with a regression coefficient of 4.68 and a probability value of 0.0000. Meanwhile, labor shows a significant negative effect on turnover, with a coefficient value of -3.68 and a probability value of 0.0460. Simultaneously, capital and labor contribute significantly to turnover improvement, with an R-squared value of 0.912, indicating that 91.2% of turnover variation can be explained by both variables. The results emphasize the importance of effective labor management, workforce productivity improvement, and adequate capital support in enhancing the performance and sustainability of cassava rengginang home industries in Rubaru District.
Abstract:This study aims to analyze the influence of packing machine automation on operator productivity in the facial tissue industry by considering the role of moderation, technical competence and operator workload perception.…
The method used is Systematic Literature Review (SLR) by reviewing scientific articles published in the 2020–2026 range from reputable databases such as Scopus. The selection process was carried out using the PRISMA approach through the identification, screening, eligibility, and inclusion stages, resulting in a number of articles relevant to the topics of industrial automation, labor productivity, technical competence, and workload. The results of the study show that the implementation of packing machine automation in general has a positive impact on increasing operator productivity through time efficiency, quality consistency, and reduction of manual errors. Nevertheless, the effectiveness of automation is highly dependent on the level of technical competence of the operator, especially in the operation, maintenance and troubleshooting of the machine. In addition, workload perception has also been shown to moderate the relationship, where automation can lower physical workloads but potentially increase mental workloads due to the demands of automated system supervision. Other findings suggest that an imbalance between automation levels and human resource readiness can hinder productivity optimization. Conceptually, this study confirms that the relationship between packing machine automation and operator productivity is not linear, but is influenced by individual and psychological factors. The practical implications of this study are the importance of technical competency-based training as well as adaptive workload management in supporting the successful implementation of automation in the manufacturing industry. This research contributes to the development of an integrative model that connects technology, people, and operational performance in the context of the tissue processing industry.
Abstract:This study analyzes the influence of Quality of Work Life (QWL) and Personality (Big Five Personality Traits) on employee Organizational Commitment at UD Fatoni in Central Lombok, filling the empirical gap regarding the…
interaction of external and internal factors in the context of local SMEs prone to high turnover. The main objective is to prove the partial and simultaneous influence of both variables on employee commitment. An explanatory quantitative approach was applied with a population of 40 employees using census techniques, primary data through a valid and reliable 5-point Likert questionnaire (Cronbach's Alpha >0.60), and multiple linear regression analysis via IBM SPSS 25 after the classical assumption test was met. The results showed that QWL had no significant effect partially (sig=0.253>0.05; β=0.149), while Personality had a significant positive effect (sig=0.002<0.05; β=0.604), with a strong simultaneous effect (F=8.852; sig=0.001) explaining 32.4% of the commitment variance. In conclusion, internal factors dominate loyalty in trading SMEs, providing theoretical contributions to organizational behavior models and practical implications for management in personality assessment and optimization of basic QWL for sustainable retention.
Abstract:The fast food industry continues to grow as the public's need for practical products, including Kamumu Kimpul chips, increases. However, small business actors such as UD. Sona in Gunungsitoli Idanoi faces obstacles in production…
oduction due to the use of traditional methods, limited equipment, and lack of optimal management. This condition has an impact on delays in meeting demand, increasing production costs, and declining competitiveness. Therefore, a production optimization strategy is needed to improve product capacity, efficiency, and quality. This study aims to analyze the production optimization strategy implemented by UD. Sona, formulate a capacity building strategy, as well as identify obstacles and solutions that can be done. The results of the research are expected to be practically useful for business actors in production management, as well as make a theoretical contribution to the development of production management science in MSMEs. The research method uses a descriptive qualitative approach. Data was obtained through interviews with owners, employees, and customers, supplemented by observation and documentation. Data analysis is carried out through reduction, presentation, and inductive conclusions, so as to be able to describe the real conditions of the business and develop the right optimization strategy. The results of the study show that UD. Sona has made efforts such as setting up production flows and scheduling planning. However, limited machinery, unstable supply of raw materials, and marketing that has not been maximized are still obstacles. Consumers rate the product as good quality, but its availability has not been consistent. Suggested strategies include the implementation of lean production, improvement of inventory management, and the use of production technology
Abstract:This study highlights the problem of managing teak wood raw materials in the form of boards at UD Gemilang, Gunungsitoli City. The company often experiences shortages or excess inventory due to a conventional ordering system…
stem that is not based on optimal demand calculations. This inefficiency causes wasteful costs and disrupts the smooth production process. The main objective of this study is to analyze current inventory management and apply the EOQ (Economic Order Quantity) method to determine the optimal order quantity, as well as evaluate its impact on cost efficiency and production operations. The EOQ method is expected to be a systematic and rational solution for managing inventory more efficiently. This study uses a descriptive quantitative approach. Data were collected through direct interviews with business owners and documentation of raw material purchasing and usage reports for 2024. The analysis was conducted using the EOQ formula to calculate the optimal order quantity, ordering costs, storage costs, safety stock, reorder point, and total inventory cost (TIC). The analysis results show that the optimal order quantity for teak wood raw materials is 282 boards, with an ordering frequency of 6 times a year. This number is more efficient than the actual ordering system which is carried out monthly without a fixed calculation. The recommended safety stock is 22 boards, with a Reorder Point (ROP) of 36 boards. The implementation of the EOQ method successfully reduced total inventory costs from Rp6,768,000 to Rp3,496,800.
Abstract:The main objective of this study is to compare and analyze the effectiveness of the MRP (Material Requirement Planning) method in optimizing raw material inventory management in the Nias Tofu business. This study uses a…
mixed method. Primary data in this study were obtained directly from the Nias Tofu business through observations and interviews, while secondary data were obtained from the company in the form of production data from the Nias Tofu Product business in 2024. Data analysis was conducted using descriptive analysis techniques and the steps taken in the method analysis.MRP. According to the analysis results, the 2024 soybean raw material purchasing and demand data using the conventional method showed a shortage of raw materials of 14,200 kg with an order frequency of 14 times. Inventory management experienced inefficiencies, namely storage costs of IDR 1,600,000 and ordering costs of IDR 400,000, and raw material shortages still occurred, while the application of the MRP method resulted in order planning with an order frequency of 6 times, a fixed order quantity of 16,784 kg, and a much lower total inventory cost of IDR 335,160. The implementation of the MRP method has proven successful in eliminating raw material shortages and reducing operational costs so that the production process runs more smoothly and efficiently. This study proves that the application of MRP is effective in managing raw materials and optimizing production in the Nias Tofu business, making a significant contribution to smooth production and inventory cost efficiency.