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Zidnal Falah
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Jl. Ki Ageng Tapa (Perumahan Pondok Mutiara Gegunungan Blok F9) RT 3, RW Gegunungan, Sumber, Kab. Cirebon, Jawa Barat.
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INDONESIA
Journal Research of Social Science, Economics, and Management
ISSN : 28076494     EISSN : 28076311     DOI : 10.36418
Core Subject : Social,
The Journal Research of Social Science, Economics, and Management is a double-blind peer-reviewed academic journal and has open access to social and scientific fields. The journal is published monthly once by CV. Publikasi Indonesia. The Journal Research of Social Science, Economics, and Management provides a means for sustained discussion of relevant issues that fall within the focus and scopes of the journal which can be examined empirically. The journal publishes research articles covering all aspects of including social science, economics, management, law, and education.
Articles 1,404 Documents
The Effectiveness of Instagram on The Sales Performance of Msmes in South Kalimantan Within the Context of Post Digital Fatigue Amelia, Rindiani; Ismojo Herdono, Ignatius
Journal Research of Social Science, Economics, and Management Vol. 5 No. 5 (2025): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v5i5.1258

Abstract

Digital transformation is often promoted as a solution to improve the marketing performance of MSMEs. However, in the context of ultra-micro businesses in South Kalimantan, the impact does not always align with this narrative. This study examines the influence of post-digital fatigue , perceived effectiveness of Instagram, and the length of time the business has been active on the platform on MSMEs' perceptions of increased sales. A quantitative approach was used with 204 ultra-micro business owners in 13 districts/cities, analyzed using ordinal logistic regression. The results show that all three variables significantly influence perceptions of increased sales. These findings indicate that digital stress can become a psychological and operational burden rather than guaranteeing sales success. This study contributes to the literature on micro-sector digitalization and emphasizes the need for more contextual and applicable digital training.
Performance Improvement on a Finance Company (A Case Study Inside Commercial Business Division of PT XYZ) Ksatria Budi, Moch Wahyu; Zulbainarni, Nimmi; Ekananta, Arry
Journal Research of Social Science, Economics, and Management Vol. 5 No. 6 (2026): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v5i6.1259

Abstract

The financial industry is one of the many economic sectors that make a huge contribution to a country’s GDP (Gross Domestic Product). Financing companies are among its contributors; hence, they need top performance to secure their position as a national benefactor. This study revolves around performance management inside a division of one of Indonesia’s top financing companies, PT XYZ. Performance management itself relies on several indicators, including leadership, environment, motivation, engagement, and satisfaction. Thus, this study aims to explain which indicators affect employees’ performance the most. This study used data gathered from 90 people in the Commercial Business Division; data collection was done using Google Forms, and analysis was conducted through the SEM-PLS method. The results of this study confirm how each of the aforementioned indicators affects employees’ performance. Moreover, work motivation was the only indicator with the slightest impact on employees’ performance in PT XYZ’s Commercial Business Division. The implications of the findings suggest that performance improvement in this division can be optimized through an integrated approach that emphasizes enhancing leadership capacity and fostering a more collaborative work environment, rather than relying solely on short-term motivational incentives. These findings provide a basis for management to design more effective leadership development programs and work environment policies that support sustained work engagement and job satisfaction.
Google Ads Optimization as a Digital Marketing Strategy in Increasing the Competitiveness of Fashion MSMEs Nendi, Ikhsan; Abdullah, Abdullah; Maulana, Arif
Journal Research of Social Science, Economics, and Management Vol. 5 No. 5 (2025): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v5i5.1261

Abstract

This research aims to develop and validate the Google Ads Optimization Framework for Fashion SMEs (GAOF-FS) as a strategic solution to increase the competitiveness of fashion MSMEs in the digital era. Using a Design Science Research approach with a mixed-method method, this research involved 30 fashion MSMEs in Cirebon through surveys, in-depth interviews, and Focus Group Discussions. The results of the analysis showed that 67.3% of MSMEs experienced limited digital knowledge, 72.8% were constrained by budget, and 81.5% had digital positioning difficulties. Only 3.3% of MSMEs are actively using Google Ads. The GAOF-FS framework developed consists of four integrated modules: (1) Strategic Planning Module with components of ecosystem analysis, competitor mapping, and campaign objective determination; (2) The Campaign Design Module includes a keyword research framework, ad copywriting template, and landing page optimization; (3) Budget Management Module with dynamic allocation model and ROI calculator; (4) Performance Monitoring Module with dashboard analytics and GAPS metrics. Expert validation shows an approval rate of 87.5% for relevance, 85.0% for technical feasibility, 90.0% for user-friendliness, and 88.8% for potential impact. User validation (MSMEs) resulted in a usability score of 4.23/5, perceived usefulness 4.47/5, ease of use 4.15/5, and intention to use 4.38/5. This framework provides academic contributions in the form of adaptive models based on local contexts and practical contributions in the form of operational guidelines that are applicable to MSMEs with limited digital literacy.
Electric Vehicle Strategies: A Literature Review on Their Impact on Firm Performance and Market Value Kumalawati, Nanda Ismi; Noveria, Ana
Journal Research of Social Science, Economics, and Management Vol. 5 No. 6 (2026): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v5i6.1262

Abstract

Prior literature plays a central role in strengthening theoretical foundations and explaining relationships among variables within a scientific study. This article conducts a structured literature review to examine how electric vehicle (EV) adoption strategies influence firm performance and market value. Although prior research investigate different aspects of green innovation, product variety, R&D, sustainability, and advertising, this review integrates those findings into a unified EV strategy perspective. The aim of this article is to build theoretical propositions for future empirical research. The results of this literature review show that: (1) EV adoption strategies, represented through green vehicle innovation, EV product portfolio expansion, sustainable operations, R&D intensity, and green marketing, exhibit mixed effects on firm performance. While EV sales growth, eco-innovation, and R&D investment often enhance efficiency and competitiveness, excessive product variety and certain sustainability efforts may reduce performance due to increased complexity and short-term costs; (2) The effect of EV adoption strategies on market value is also heterogeneous. Incremental innovation, R&D investment, and credible patent activity generally support firm valuation, whereas green innovation and sustainability investments may trigger short-term valuation declines when uncertainty and capital intensity are high.
The Effect of Soft Drink Consumption on pH in Stimulated and Unstimulated Saliva Siregar, Fitri Dona; Lestari, Vandersun; Purba, Stevi Nencia
Journal Research of Social Science, Economics, and Management Vol. 5 No. 5 (2025): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v5i5.1263

Abstract

Consuming soda will lower the pH of saliva due to its acid content. This decrease in pH can affect the balance of the oral cavity. Stimulated saliva will have a better buffering capacity than unstimulated saliva. The purpose of this study was to determine the effect of soda consumption on the pH of stimulated and unstimulated saliva. This was a quasi-experimental study with a post-test only comparison group. The study population was 166 male and female students of the Dentistry Department at Prima Indonesia University. The sample size was 68 students, divided into two groups: stimulated and unstimulated saliva. The pH was measured using a digital pH meter. Data were analyzed using the Mann-Whitney test. The results showed that the average pH after soda consumption in the stimulated saliva group was 8.03 ± 0.129 and in the unstimulated saliva group was 5,32±0,304. The sample group that did not consume carbonated drinks had a mean saliva pH of 6.62±0.455. The Mann-Whitney test revealed a significant difference in pH between stimulated and unstimulated saliva after carbonated drinks (p=0.000; p<0.05). The conclusion is that carbonated drinks affect the pH of both stimulated and unstimulated saliva.
Optimization of Gas Turbine Operational Parameters Using Machine Learning Hadi, Safwanul; Kurniati, Nani
Journal Research of Social Science, Economics, and Management Vol. 5 No. 5 (2025): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v5i5.1264

Abstract

Cogeneration Gas turbines are the main equipment in the electrical grid system. To meet the load needs on the grid, power plants have several gas turbine units, with the same or different capacities. The load adjustment for each gas turbine unit is carried out by numerical calculation based on load needs, operating parameters, fuel consumption and steam production. In Fact, the recommended value of the numerical calculation is always above the turbine gas operation, resulting in inefficient fuel consumption. This research reformaltes a gas turbine dispatch problem into a data-driven optimization task. Researcher develop an Artificial Neural Network (ANN) on Multi Layer Preceptron (MLP) model using parameter data from 2024 with filters baseload-efficient condition. The Model produces unit capability rankings and validated within <2% error. Compared to dispatcher recommendations, average deviation ~7% with the model, enabling measurable fuel saving and increased steam production.
The Influence of Service Quality and Communication Moderated by Patient Trust on Patient Satisfaction R. P. Hutadjulu, Rebecca; Budidharmanto, Lexi Pranata; Padmalia, Metta
Journal Research of Social Science, Economics, and Management Vol. 5 No. 6 (2026): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v5i6.1265

Abstract

The growth of the healthcare industry in North Sulawesi has driven existing hospitals to continuously enhance the quality of their services. RSUP Prof. Dr. R. D. Kandou Manado, operating since 1995, now faces increasing competition from newly established hospitals and must therefore innovate its patient care services. This research intends to examine the influence of service quality and communication quality on patient satisfaction, with patient trust as the moderating variable. The study was conducted using a quantitative approach, employing Structural Equation Modeling (SEM) with a multivariate statistical analysis method through Smart-Partial Least Square (Smart-PLS). The survey was carried out in the North Sulawesi region by distributing questionnaires via social media from May 2024 to April 2025. The findings indicate that service quality, when moderated by patient trust, significantly affects patient satisfaction, whereas communication quality moderated by patient trust does not show a significant effect on patient satisfaction. This study confirms that service quality significantly enhances patient satisfaction when moderated by patient trust. In contrast, communication quality, even when moderated by trust, does not significantly impact satisfaction. These findings highlight the central role of trust in amplifying the effect of service quality, offering practical guidance for hospitals to focus on service excellence and trust-building as key drivers of patient satisfaction.
Geopolitics and International Sports Governance: a Case Study of FIFA's Response to the Russian and Israeli National Teams Amid Russia's Versus Ukraine and Israel's Versus Palestine Rage Ghifari, Muhammad Farkhan; Nugroho, Bambang W.
Journal Research of Social Science, Economics, and Management Vol. 5 No. 5 (2025): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v5i5.1266

Abstract

This article analyzes the response of the Federation Internationale de Football Association (FIFA) to two major geopolitical conflicts, namely the Russia–Ukraine war and the Israeli–Palestinian conflict, by examining the differences in attitudes applied to the Russian and Israeli national teams. This study uses a qualitative comparative case study method by integrating a review of academic literature, analysis of official FIFA documents, and a reading of global geopolitical dynamics to evaluate the consistency of the application of the principles of neutrality, non-discrimination, and governance of international sports organizations. The findings suggest that the imposition of blanket sanctions against Russia, compared to the non-imposition of sanctions against Israel, reflects the inconsistency of FIFA's stance which is more accurately understood as a form of politicized neutrality than as normative discrimination. Furthermore, the findings indicate that FIFA's stance is influenced by external geopolitical pressures, global power configurations, and pragmatic considerations of the organization in maintaining its legitimacy and stability. These findings reveal the limitations of claims of sports neutrality within the framework of global governance and affirm that international sports organizations are not completely autonomous from international dynamics. Thus, this article contributes to international relations and sports governance through the development of an analytical framework on the relationship between normative principles, geopolitical interests, and power structures in FIFA's decision-making process.
Theoretical Analysis of The Relationship Between Digital Marketing Activities and Sales Conversion in Business-To-Business E-Commerce Based on The Technology Acceptance Model (TAM) Sophianie, Noor Emma
Journal Research of Social Science, Economics, and Management Vol. 5 No. 6 (2026): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v5i6.1267

Abstract

This theoretical paper investigates the relationship between digital marketing activities and sales conversion in Business-to-Business (B2B) e-commerce using the Technology Acceptance Model (TAM). It integrates insights from 20 relevant studies published between 2020 and 2025 to develop a comprehensive conceptual understanding of how perceived ease of use (PEOU) and perceived usefulness (PU) shape attitudes (ATU), behavioral intentions (BI), and actual use (AU) in digital marketing adoption. The discussion elaborates on how user perception mediates digital channel effectiveness and highlights TAM's enduring relevance in explaining technology adoption behavior in modern B2B marketing contexts. This theoretical framework aims to enrich academic perspectives and provide strategic insights for practitioners optimizing technology-based marketing systems.
Classification of Roasting Maturity Levels of Coffee Beans Using CNN Method Based on Mobilenetv2 Rafidan Arsyan, Renalda Geriel; Kurniawardhani, Arrie; Paputungan, Irving Putra
Journal Research of Social Science, Economics, and Management Vol. 5 No. 6 (2026): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v5i6.1269

Abstract

Determining the roasting maturity level of coffee beans is an important process to maintain consistency in flavor quality. However, the assessment process, which is still largely manual, tends to be subjective and highly dependent on the experience of farmers. This research develops an automatic classification model for four categories of coffee bean roasting levels—green, light, medium, and dark—using a convolutional neural network (CNN) architecture based on MobileNetV2. The dataset was divided into training, validation, and testing sets with a ratio of 75:15:10. The model was trained in two stages: initial training with a frozen base model, followed by fine-tuning of the last quarter of the layers. The experimental results show that the model achieved an accuracy of 96% with stable performance, as indicated by the loss and accuracy curves. These findings demonstrate that MobileNetV2 can serve as an effective solution for classifying coffee bean roasting levels with efficient computational time and competitive accuracy.

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