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Showing 109 articles found for "Highest"

The Research Evolution of Financial Performance, Customer Trust, and Customer Loyalty in Sharia Banking Sector: a Bibliometric Analysis

Wijaya, Bachtiar, Soetjipto, Budi Eko, Churiyah, Madziatul
Abstract: The transformation of the Islamic banking industry requires the integration of financial performance, customer trust, and customer loyalty as the foundation for institutional sustainability. This study aims to map the intellectual… tellectual evolution of this field of study and identify dominant themes, development trends, and opportunities for research gaps in the international literature. The method employed is a bibliometric analysis based on a Systematic Literature Review (SLR) using the PRISMA procedure on Scopus articles from 2018 to 2025. From a selection process of 2,009 documents, the study identified 37 articles meeting the inclusion criteria, which were then analyzed using co-authorship, co-occurrence, network, overlay, and density visualizations. The results indicate that the themes of customer loyalty, service quality, customer satisfaction, and customer trust form the core of the intellectual structure with the highest connectivity, while the themes of financial performance, digital trust, banking mergers, and Sharia banking mergers remain in low-density areas, signaling opportunities for research development. The novelty map also reveals a shift in focus from traditional loyalty models toward digital banking, customer experience, and e-CRM. The novelty of this study lies in its proposal of a new research agenda model that integrates financial performance–customer trust–customer loyalty within the context of digital transformation and the consolidation of Sharia banks. Thus, it is hoped that this study can provide a conceptual foundation for future cross-national empirical research

Mapping Human Capital, Social Capital, and Well Being in Informal Self Employment: A Bibliometric Study

Ni Luh Putu Sariani, Setyo Riyanto, Lenny Christina Nawangsari, Kasmir
Abstract: This study aims to map the development of scientific research on human capital, social capital, and the well-being of self-employed workers in the informal sector during the period 2015–2025. Employing a bibliometric approach… pproach based on Scopus data, this study analyses 102 scientific documents through indicators of annual publication output, country contribution, institutional affiliation, citation level, co-authorship collaboration networks, and keyword co-occurrence using VOSviewer software. The analysis reveals a significantly upward publication trend, particularly in 2024 and 2025. China, the United Kingdom, and Indonesia are recorded as the countries with the highest publication contributions. The most cited article is the work of Prasetyo & Kistanti (2020), which comprehensively integrates human capital, social capital, and entrepreneurship as pillars of sustainable economic growth. Co-authorship network analysis indicates fragmented collaboration patterns, while keyword co-occurrence mapping identifies four main thematic clusters: (1) well-being and entrepreneurship; (2) social capital and human capital; (3) livelihood and the informal sector; and (4) knowledge and sustainable development. These findings suggest the need to strengthen cross-country research collaboration and to expand inquiry into the interaction between human capital and social capital in enhancing the well-being of self-employed workers in the informal sector, particularly in developing countries. This study contributes to the literature by providing an integrated bibliometric overview of how human capital and social capital are positioned in relation to the well-being of self-employed workers in the informal sector

Bibliometric Mapping of Research on Decentralization and Performance Evaluation

Rostini, Ergicho, Yisihak
Abstract: This study aims to analyze trends, developments, and directions of scientific research related to decentralization and performance evaluation between 2015 and 2025. Using a bibliometric approach and data from the Scopus… database, this study evaluates scientific publications based on the number of documents, country contributions, institutional affiliations, keywords, and collaborative networks between authors. The analysis shows that the number of publications fluctuates, with a significant spike in 2024. China is the country with the highest contribution to publications, while contributions from Indonesia remain very minimal. In terms of affiliations, Chinese universities dominate scientific production in this field. Network visualization shows that collaboration between researchers remains low and fragmented. The most dominant keywords are decentralization, blockchain, and performance evaluation, which form several research clusters that show links to financial management and public policy topics. These findings indicate the need to increase the involvement of Indonesian researchers and strengthen global collaborative networks on the topic of decentralization and performance evaluation.

Marketing Performance of Pomelo Oranges in Padang Lampe Village, Ma'rang District, Pangkajene Kepulauan Regency

Najib, Marhawati
Abstract: This study aims to determine the pattern of marketing channels and analyze the costs, margins profits, and economic efficiency of each pomelo orange marketing channel in Padang Lampe Village, Ma'rang District, Pangkep Regency.… gency. A sampling of producers was carried out by Simple Random Sampling while marketing institution samples using the tracing method or (snowball sampling) namely by tracing sales and purchases of pomelo oranges from producers to consumers. The results of the study showed that there are two types of marketing channels in Padang Lampe Village, Ma'rang District, Pangkep Regency, namely, channel I: Farmers--------Collectors --------- Inter-Island Traders ----------- Retailers --------------- Consumers. Furthermore, Marketing Channel II is from Farmers ----------- Retailers ----------- Consumers. In Marketing Channel I, the total marketing cost is IDR 25,660,000/7500 pomelo fruits, the total marketing margin is IDR 78,750,000/7500 fruits, and the total marketing profit is IDR 46,790,000. In Marketing Channel II, the total marketing cost is IDR 1,175,000/300 fruits, the marketing margin is IDR 2,250,000 and the total marketing profit is IDR 1,075,000. Marketing Channel II is the most efficient pomelo marketing channel because it has the lowest marketing margin, which is IDR. 2,250,000/300 pieces and has the highest Farmer's Share value, namely 57.14%.

Analysis of factors influencing the production and marketing of salted anchovies in Barru District, Sumpang Binangae Village, Barru Regency

Bado, Basri, Hasriyuni, Kamaruddin, Citra Ayni
Abstract: This research aims to determine what factors influence the production and marketing of salted anchovies in Barru District, Sumpang Binangae Village, Barru Regency. The data used in this research are primary and secondary… data. The analytical method used in this research is multiple linear regression analysis. The results of the research show that the factors that influence the production of salted anchovies in the variables of labor (X1) and capital (X2) simultaneously have a significant effect on the amount of salted anchovy production in Barru District, Sumpang Binangae Village, Barru Regency. The marketing channels for salted anchovies in Barru District, Sumpang Binangae Village, Barru Regency consist of 3 (three) marketing channel patterns, namely: salted anchovy processors-consumers; (2) salted anchovy processor-trader collector-consumer; (3) salted anchovy processors- collecting traders- retailers- consumers. The lowest marketing margin value is marketing channel I, namely IDR. 640/Kg while the highest marketing margin value in channel III is Rp. 8,640/Kg.

Analysis of Investment Risk and Share Return in Coal Mining Companies Listed on IDX for The Period 2019-2021

Andi Dwi Wulandari, Muh. Ichwan Musa, Nurman, Anwar Ramli, Hety Budiyanti
Abstract: This research is to determine the level of investment risk and stock returns as well as grouping efficient shares and inefficient shares of coal mining companies through the Capital Asset Pricing Model (CAPM) method for&#8230; the 2019-2021 period. The research method used is descriptive method with a quantitative approach, while the data analysis method uses the Capital Asset Pricing Model (CAPM) method. The results showed that there were 8 shares of coal mining companies with a beta (systematic risk) value of greater than 1 (β > 1), and 16 shares of companies with a beta of less than 1 (β < 1. The highest RI was found in HRUM shares with a rate of return of 0.07650 or 7.65%, while the lowest Ri is found in BOSS shares with an average rate of return of -0.06000 or - 6%. The highest E(Ri) value is found in DOID shares with a value of 0.00177 or 0.18%, while the lowest E(Ri) is found in GEMS companies with a value of 0.00126 or 0.13%. There are 16 shares of coal mining companies which are classified as efficient shares consisting of shares of ADRO, BSSR, BYAN, DOID, DSSA, FIRE, GEMS, iHRUM, INDY, iITMG, MBAP, MYOH, iPTRO, SMMT, iTOBA, and BRMS, as well as 8 inefficient stocks namely ARII, BOSS, BUMI, DEWA, ​​GTBO, KKGI, PTBA, and SMRU.

ANALISIS PERSEPSI MASYARAKAT TERHADAP KUALITAS PELAYANAN PUBLIK PADA DINAS KEPENDUDUKAN DAN CATATAN SIPIL (DISDUKCAPIL) KABUPATEN BOGOR

Muchammad Hamdani, Mujito
Abstract: This study aims to determine the influence of public perception on the quality of public services at the Department of Population and Civil Registration (Disdukcapil) of Bogor Regency. The type of research used is descriptive&#8230; ptive quantitative. The population in this study consists of people who carried out administrative services at the Disdukcapil office of Bogor Regency, with a total sample of 100 respondents. Data analysis was conducted using the Weighted Means Score (WMS) method. The results of the study show that: (1) The highest average score from the analysis of public service quality indicators was the indicator related to “technical service requirements at Disdukcapil being easy to understand by the public,” which obtained an average value of 3.50, categorized as good. Another high indicator was “the completion of administrative processes at Disdukcapil on time,” with an average score of 3.55, also categorized as good. Meanwhile, the lowest average score was 3.19, categorized as fairly good, on indicators such as “the public feeling that their security is guaranteed when managing administrative services at Disdukcapil” and “service officers being disciplined in providing services to the community.” (2) The final recapitulation of the analysis across the ten main indicators of public service quality shows that the highest average score was found in the Certainty indicator, with a score of 3.48, categorized as fairly good. On the other hand, the lowest average scores were in the Discipline and Comfort indicators, both with scores of 3.23, also categorized as fairly good. (3) Overall, the average score of all public service quality indicators in this study was 3.34, categorized as fairly good. This indicates that, in general, the public perceives the quality of public services at the Disdukcapil of Bogor Regency to be fairly good. The recommendation given is that Disdukcapil Bogor Regency should further improve the discipline of its officers regarding their presence at the workplace or service counters, as well as their punctuality in serving the community, and also create a more comfortable environment and waiting area for the public accessing services.

THE EFFECT OF FOOD ADDITIVES ON PALM MUSHROOMS (VOLVARIELLA VOLVACEA) MEATBALLS AND MOCAF FLOUR (MODIFIED CASSAVA FLOUR)

Ota, Muhammad, Prasetya, Andwini, Moulina, Methatias Ayu, Darius, Darius
Abstract: This study aims to characterize the effect of food additives on the quality of meatballs made from palm mushrooms (Volvariella volvacea) and mocaf flour. Meatballs were made with a formulation of 70% palm mushrooms and 30%&#8230; 0% mocaf, and the addition of carrageenan, CMC, and STPP at concentrations of 0.25%, 0.5%, and 1% with 9 treatments. The parameters analyzed included yield, water content, protein, fiber, organoleptic and production cost. The results showed that the yield ranged from 82.15–96.39% and was significantly different between treatments. Water content was 65.01–70.60%, while the highest protein and fiber content was obtained with the addition of 0.25% carrageenan, respectively 10.53% and 7.97%, respectively. The type and concentration of food additives significantly affected the yield, water content, protein, fiber and texture but did not significantly affect the color and taste of palm mushroom and mocaf flour meatballs.

RESILIENCE AND MINDSET AS DRIVERS OF DIGITAL ADAPTATION OF FOOD BUSINESS MSMES IN GORONTALO CITY

Kaluku, Amelia, Alam, Heldy Vanni, Tantawi, Rezkiawan
Abstract: This study aims to examine the role of resilience and mindset on adaptive behavior among MSME managers in facing digital transformation in the food business sector in Gorontalo City. This research uses a quantitative approach&#8230; roach with a survey method. Data collection was conducted using a questionnaire, with a total sample of 54 respondents. The data analysis technique applied was multiple linear regression analysis. The results show that (1) resilience has a positive and significant effect on adaptive behavior, (2) mindset has a positive and significant effect on adaptive behavior, and (3) resilience and mindset simultaneously have a positive and significant effect on adaptive behavior. Descriptive findings based on business type indicate that the highest levels of resilience and adaptive behavior are found in restaurant businesses, while relatively lower levels are observed in bakery and pastry industries. Based on business duration, entrepreneurs who have operated longer tend to demonstrate better adaptive capabilities compared to newer businesses. This study recommends enhancing digital literacy training, strengthening entrepreneurial mindset, and providing business mentoring programs to improve the adaptive capacity of MSMEs in facing digital transformation.

IMPLEMENTATION OF THE NAIVE BAYES METHOD FOR CATERING SALES PREDICTION AT PT NEGARA RASA INDONESIA

Gulo, Benifati, Machfud, Syaeful
Abstract: This study discusses the implementation of the Naïve Bayes method to predict catering sales at PT.Negara Rasa Indonesia. The background of this study is based on the problem of suboptimal sales due to the absence of a structured&#8230; tructured sales prediction system. The Naïve Bayes method was chosen because of its simplicity, speed, and ability to classify data with a high degree of accuracy. The data used in this study is historical sales data from the last two years, which has undergone cleaning, labeling, and transformation into four sales categories, namely very popular, popular, fairly popular, and less popular. The testing process was carried out using RapidMiner software by dividing the dataset into training data and test data at various ratios of 80:20. The test results showed a very high level of accuracy, with the highest value reaching 91.41%. These findings prove that the Naïve Bayes method is reliable for predicting catering sales, thereby assisting decision-making in more efficient sales management and planning at PT. Negara Rasa Indonesia.