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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 1,715 Documents
Assessment and Evaluation of the Implementation of a Vendor Management System (VMS) in Vendor Data Management Using the DeLone & McLean Method and Gap Analysis at PT PLN (Persero) Irsyad Ardhi; Erwin Widodo
Journal Research of Social Science, Economics, and Management Vol. 5 No. 12 (2026): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The management of vendor data at PT PLN (Persero) before the implementation of the Vendor Management System (VMS) faced fundamental issues, including data duplication of up to 40% among 110,936 registered vendors, data fragmentation across various applications, such as Eproc and SAP, which were not integrated with one another, and repetitive registration and evaluation processes conducted separately within each unit. This research aims to analyze the implementation of VMS in vendor data management, evaluate the quality of the system and its services, and formulate improvement strategies to optimize VMS implementation. The research employs a qualitative approach with a case study design. Data were collected through in-depth interviews with eight key informants selected using purposive sampling, direct observation, and document reviews. The evaluation of the implementation was conducted using the DeLone and McLean Information Systems Success Model, which comprises six dimensions: system quality, information quality, service quality, system use, user satisfaction, and net benefits. The results indicate that VMS has been successfully implemented as a Single Source of Truth (SSoT), replacing the previous fragmented system. VMS demonstrates strong performance in terms of usability perceived by both internal and external users, while VMS Corner services are highly valued by vendors. The implementation of VMS has generated significant human resource efficiencies, including a reduction in personnel requirements from 48 employees distributed across various units to 14–16 centralized employees (a savings of 65–70%), the elimination of physical administrative costs, and improved data accuracy through a dual-verification mechanism.
The Effect of Implementing the Kaizen Philosophy on Employee Performance Through Employee Innovation and Work Efficiency: A Case Study at XYZ Bank in West Kalimantan Sinta Sinta; Denpharanto Agung Krisprimandoyo; William Santoso
Journal Research of Social Science, Economics, and Management Vol. 5 No. 12 (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.v5i12.1565

Abstract

The banking industry has experienced increasingly intense competition, forcing companies to continuously improve service quality and operational efficiency through enhanced employee performance. This study investigated the effect of implementing the Kaizen philosophy on employee performance, with particular attention to the mediating role of employee innovation and work efficiency at PT XYZ in the West Kalimantan region. The Resource-Based View (RBV) framework provided the theoretical foundation for this research. A quantitative research design was employed, with data collected through questionnaires administered to 100 employees of PT XYZ in West Kalimantan, selected using purposive sampling. The data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) with SmartPLS version 4.1.0.3 to examine both direct and indirect relationships among variables. The results revealed that the implementation of the Kaizen philosophy did not have a significant direct effect on employee performance. However, it had a positive and significant effect on both employee innovation and work efficiency. Furthermore, work efficiency had a positive and significant effect on employee performance and served as a full mediator in the relationship between Kaizen implementation and employee performance. In contrast, employee innovation did not significantly affect employee performance and did not function as a mediating variable. These findings indicate that, in the banking industry, the implementation of the Kaizen philosophy is more effective in improving employee performance through work efficiency rather than through employee innovation.
The Impact of the Free Nutritious Meals Program (MBG) on Regional Development: An Analysis of Food Security, Local Economic Growth, and Sustainable Development in Indonesia Siti Nurjanah; Jopie Tommy Rompas; Maulana Irfan Andriansyah
Journal Research of Social Science, Economics, and Management Vol. 5 No. 12 (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.v5i12.1568

Abstract

The Free Nutritious Meals Program (MBG) is one of Indonesia’s strategic policies aimed at improving nutritional status and strengthening human capital development. Beyond its primary objective of improving nutrition, the program has significant potential to stimulate regional development through enhanced food security and local economic growth. This study analyzes the relationship between the MBG program, regional food security, local economic growth, and human development. Using a qualitative descriptive approach through a literature review, this study examined academic publications, international reports, and policy documents related to school feeding programs, food security, and regional development. The findings indicate that MBG generates multidimensional impacts. First, MBG strengthens regional food security by creating stable demand for local agricultural products. Second, it generates economic multiplier effects through increased income for farmers, micro and small enterprises, and supporting sectors. Third, it contributes to human development by improving nutritional status, health outcomes, and educational performance. This study developed the MBG Local Development Cycle Model to explain the relationship between MBG, food security, local economic growth, and sustainable regional development. The findings demonstrate that MBG should be viewed not only as a social assistance program but also as a strategic instrument for regional development and the achievement of the Sustainable Development Goals (SDGs).
The Role of Career Development as a Mediator in the Relationship Between Emotional Intelligence, Work Engagement, and Work Motivation and the Performance of Generation Z Employees at PT. Asuransi Sinar Mas D. Wahyu Baswara Seta; Fermico Karambut; Enny Haryanti; Sulistyowati
Journal Research of Social Science, Economics, and Management Vol. 5 No. 12 (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.v5i12.1576

Abstract

The increasing presence of Generation Z in the workforce has created new challenges for organizations, particularly in managing employee performance through approaches that align with their characteristics, such as self-development orientation, career expectations, and meaningful work experiences. In the insurance industry, employee performance is a critical factor in maintaining competitiveness; however, psychological factors such as emotional intelligence, work engagement, and work motivation may not always directly improve performance without adequate organizational support. This study aims to examine the role of career development as a mediating variable in the relationship between emotional intelligence, work engagement, work motivation, and the performance of Generation Z employees at PT Asuransi Sinar Mas. This research employed a quantitative explanatory approach using Partial Least Squares Structural Equation Modeling (PLS-SEM). Data were collected through questionnaires distributed to Generation Z employees selected using purposive sampling based on specific criteria. The findings indicate that emotional intelligence, work engagement, and work motivation do not have a direct significant effect on employee performance. However, these three factors have a positive and significant effect on career development, while career development significantly improves employee performance. Furthermore, career development was proven to function as a full mediating variable that bridges psychological factors and performance outcomes. The study concludes that organizations should strengthen structured career development systems through training, mentoring, and transparent career pathways to optimize Generation Z employee performance.
Efficiency and Risk Analysis of Hospital Supply Chain and Strategy Development Using FMEA and Swot: A Case Study of Husada Hospital Julianto; Saparso; Wani Devita Gunardi
Journal Research of Social Science, Economics, and Management Vol. 5 No. 12 (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.v5i12.1583

Abstract

Efficient supply chain management (SCM) is essential for ensuring service continuity, cost efficiency, and patient safety in hospitals. This study aims to analyze the efficiency of the hospital supply chain, identify critical operational risks, and formulate strategic recommendations for improving logistics performance at Husada Hospital, Jakarta. A mixed-methods approach was employed by integrating quantitative inventory analysis with qualitative risk and strategic analyses. Quantitative assessment included demand patterns, lead time, inventory coverage, and inventory control indicators, while qualitative analysis involved process mapping, in-depth interviews, Failure Mode and Effects Analysis (FMEA), Internal Factor Evaluation (IFE), External Factor Evaluation (EFE), Internal–External (IE) Matrix, and SWOT analysis. The findings reveal that the existing supply chain is supported by a structured procurement and distribution workflow but remains highly dependent on manual planning, periodic reviews, and experiential decision-making. FMEA identified inventory planning, critical-item management, and supplier coordination as the highest-priority risk areas. The IFE score of 2.481 and EFE score of 2.427 positioned the organization within Cell V of the IE Matrix, indicating a hold-and-maintain strategic posture. Consequently, the recommended strategy emphasizes strengthening data-driven inventory planning, optimizing information systems, standardizing inventory parameters, improving vendor mapping and performance monitoring, establishing risk registries, and implementing risk-based approval mechanisms. These findings contribute to hospital supply chain management by demonstrating that sustainable logistics performance is achieved not through extensive structural changes but through systematic enhancement of planning accuracy, inventory control, risk mitigation, and strategic decision-making, thereby supporting operational resilience and improving healthcare service quality.
Lead-Time Variability and Single-Source Dependence as Continuity Risks in an Aerospace Metallic Raw-Material Supply Network Eko Taufik Sutisna; Liane Okdinawati
Journal Research of Social Science, Economics, and Management Vol. 5 No. 12 (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.v5i12.1597

Abstract

Aerospace manufacturers that source flight-critical metallic raw materials over long distances are widely assumed to face continuity risk because of that distance. This paper tests that assumption through an embedded single-case study of a Tier-1 Indonesian manufacturer (pseudonymized as PT VC Aero Bandung) that procures European forged billets and forgings for Airbus A320 flight-control components. The study followed a quantitatively dominant, explanatory-sequential mixed-methods design: it draws on the firm’s supplier and origin master data, 692 inbound shipment records (2023–2026), and safety-stock policy data, triangulated with secondary logistics and lead-time benchmarks, and then interprets that evidence through three semi-structured expert interviews. Three procedures are combined to locate where continuity risk resides, supply-network mapping, lead-time and variability analysis by sourcing region, and single-source concentration analysis across the part portfolio. Three findings emerge. First, the binding constraint is not shipping distance but upstream forging and melt capacity: air transit is short and stable across origins (mean 4.4 days), and even by sea the logistics leg is a minority of the 42-week order-to-delivery lead time, so geography enters mainly through the freight-mode decision. Second, the core vulnerability is lead-time variability (±8 weeks), not length: actual safety stock of three to five weeks sits far below the roughly eighteen weeks the variability would require to absorb. Third, all 124 metallic part numbers are single-sourced (close to 100 percent of spend), with one billet supplier (T UK) alone at about 64 percent, and the dependence falls hardest on the NADCAP-qualified flight-control forgings.
Developing an Accountable Budget Baseline for Infrastructure Projects: A Consolidated Cost and Schedule Estimation Framework and Maturity Assessment Haryo Utomo Wisnu Nugroho; Silvianita
Journal Research of Social Science, Economics, and Management Vol. 5 No. 12 (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.v5i12.1600

Abstract

Organizations frequently rely on multiple international references for cost estimating and schedule development, yet these references use different terminology, levels of detail, and emphases, which can leave budgeting stage estimation fragmented and difficult to audit. This paper develops a consolidated, stepwise framework by synthesizing prescriptive practices from PMI, AACE, NASA, and GAO, and applies the framework as an auditable process maturity assessment instrument. A benchmarking synthesis approach was used to screen candidate references for capital project relevance and explicit guidance for cost estimating and schedule development. Process steps were extracted, harmonized across sources, and consolidated into two aligned end to end process frameworks for cost estimating and schedule estimating. The consolidated steps were converted into assessment items, rated on a five-level maturity scale, and summarized using achieved versus maximum scoring. Application to PT Pertamina Patra Niaga (PPN)’s budgeting stage practices indicates that the current cost estimating process reaches 56/70 (80%) maturity, while the current schedule estimating process reaches 46/90 (51%). The previous cost estimating process scores 43/70 (61%). The most prominent gaps relate to the formal documentation of ground rules and assumptions, typically captured in a Basis of Estimate, and to schedule model discipline, particularly coding, logic structure, and systematic schedule quality checks. Overall, the findings show that the framework is practical to implement and supports evidence-based prioritization of process improvements toward more transparent, accountable, and reliable budgeting baselines for capital and infrastructure related investments.
Determining Stock Returns for the LQ45 Index on the Indonesia Stock Exchange Muhammad Khalqi; Sarwo Edy Handoyo
Journal Research of Social Science, Economics, and Management Vol. 5 No. 12 (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.v5i12.1601

Abstract

For a country, capital markets play a crucial role in maintaining capital flows and economic activity. Therefore, investing in capital markets requires numerous considerations. This study aims to identify factors that influence returns. Shares of companies listed on the LQ45 Index on the Indonesia Stock Exchange from 2023 to 2025. The independent variable in this study is Return on Assets (ROA). Return on Equity (ROE), Price to Book Value (PBV), Debt to Equity Ratio (DER) and Market Capitalization, while the dependent variable is Return Stocks. This study uses panel data using a purposive sampling method that produces 90 samples. Panel data regression analysis used Fixed Effect Model (FEM). The results of this study indicate that Price to Book Value (PBV) has a significant and negative influence against Return Stocks and Market Capitalization has a significant and positive influence on Return Stocks. Meanwhile, Return on Equity (ROE) and Debt to Equity Ratio (DER) does not have a significant effect on Return Stocks. This study confirms that in the 2023-2025 period, investors in companies listed in the LQ45 Index prioritized company value over profitability and existing capital structure. These findings are expected to provide practical insights for investors and other stakeholders in the capital market.
Investment Decision on the Serang–Panimbang Toll Road Project, Taking into Account the Phased Operation of the Toll Road Wahyu Utomo; Christiono Utomo
Journal Research of Social Science, Economics, and Management Vol. 5 No. 12 (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.v5i12.1605

Abstract

The Serang–Panimbang Toll Road is a National Strategic Project (PSN) developed to support the Tanjung Lesung Special Economic Zone (SEZ) and consists of three sections. Changes in design scope, prolonged approval processes, and delays in land acquisition necessitated a reassessment of the investment under a phased toll road operation scheme. The investment reassessment determines the critical investment decision threshold when the toll road operates in stages. The base case calculation was conducted using Discounted Cash Flow (DCF) with Weighted Average Cost of Capital (WACC) of 13.55% and a 50-year concession period (2019–2069). Net Present Value (NPV) was used as the primary investment decision parameter. Deterministic sensitivity analysis was applied to identify critical turning points, while stochastic sensitivity analysis was conducted using the Monte Carlo method with Crystal Ball through 10,000 trials. The base case yields NPV of IDR 399,084 million, IRR of 13.96%, Discounted Payback Period of 45 years, and Profitability Index of 1.05. Deterministic analysis identifies the most influential variables as toll tariff and construction Capex, with Section 1 operable no later than 2023, Section 2 by 2024, and Section 3 by 2038. The stochastic Monte Carlo simulation reveals an extreme financial risk profile, with a mean NPV of IDR -1,203,368 million and only 468 of 10,000 trials (4.68%) producing NPV > 0. The investment decision probability boundary ranges from 4.20% to 4.68%.
RFM-Based Customer Segmentation Using K-Means Clustering to Recommend Marketing Strategies for Motorcycle Repair Shops Nanda Oberusti; Sigit Anggoro; Tacbir Hendro Pudjiantoro
Journal Research of Social Science, Economics, and Management Vol. 5 No. 12 (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.v5i12.1610

Abstract

Motorcycle repair workshops, as service-based businesses, require an understanding of customer characteristics to develop more effective marketing strategies. However, differences in customer transaction behavior make generalized marketing strategies less effective in meeting the needs of different customer groups. Customer segmentation is an approach that enables businesses to classify customers based on their transaction characteristics, allowing the identification of valuable customers and the development of more targeted marketing strategies. This study aims to apply the Recency, Frequency, Monetary (RFM) method and the K-Means Clustering algorithm to segment customers of AHASS Cimalaka Sumedang Motorcycle Workshop. The resulting customer segments are expected to support the formulation of marketing strategy recommendations, improve customer loyalty, and facilitate more effective marketing decision-making. Differences in customer transaction behavior reduce the effectiveness of generalized marketing strategies, highlighting the need for customer segmentation based on transaction data. To apply the Recency, Frequency, Monetary (RFM) method and the K-Means Clustering algorithm for customer segmentation and to develop marketing strategy recommendations. This study employed a quantitative approach consisting of data preprocessing, RFM calculation, data normalization, K-Means clustering, and cluster evaluation. The proposed approach successfully segmented customers into five clusters based on their RFM characteristics, namely Potential Loyal Customer, At Risk Customer, Lost Customer, Inactive Customer, and Loyal Customer, which served as the basis for prioritizing targeted marketing strategies. The combination of the RFM method and the K-Means Clustering algorithm effectively supports customer segmentation and provides a reliable basis for developing more targeted and effective marketing strategies.

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