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Journal Research of Social Science, Economics, and Management

jrssem
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Published by CV. Publikasi Indonesia

ISSN : 28076494 EISSN : 28076311 DOI : 10.36418

Core Subject : Social,

Environmental Science

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.

Arjuna Subject : Ilmu Sosial - Ilmu Sosial (Lain-Lain)

Articles 1,715 Documents

161 162 163 164 165

Design and Implementation of A Web-Based and or Code-Based Fire Extinguisher Management Information System: A Case Study at PT Botto Global Mandiri Fiqhy Faradisa Al Bina; Asep Arwan Sulaeman; Sophian Andhika Sardi
Journal Research of Social Science, Economics, and Management Vol. 5 No. 11 (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.v5i11.1566

PT Botto Global Mandiri is a company engaged in fire safety systems with a focus on procurement, inspection, and management of Light Fire Extinguishers (APAR). The management of customer data, fire extinguishing data, and refill data that is still done manually using paper forms causes data inaccuracies, service delays, and difficulties in tracking fire extinguishing history. This research aims to analyze the conditions of fire extinguisher data management, design and build a web-based information system with QR Code integration, and implement and evaluate the system in improving fire extinguisher documentation. The research uses an applied research approach with the Waterfall development method which includes needs analysis, system design, implementation, and testing. Data collection was carried out through observation, interviews, and literature studies. The system is built using the PHP programming language and MySQL database and includes three interintegrated user modules, namely Admin, Customer, and Technician. The results of the study show that the system successfully integrates customer data management, generates a unique QR Code for each fire extinguisher unit, scheduling inspections, filling out digital inspection forms through QR Code scanning, report verification, and reporting to management in real-time. Testing with the Black Box Testing method shows that all features are valid according to the specifications of the needs. Thus, the application of web technology and QR Codes has been proven to increase data accuracy, inspection process efficiency, and ease of tracking fire extinguishing history at PT Botto Global Mandiri.

A Comparison of The Effectiveness of Digital Marketing Strategies on Instagram and TikTok in Boosting Sales for MSMEs in Denpasar Kurniawan Joko Purnomo; Ida Bagus Ardhi Putra; D.A Gladysia Sistadanta
Journal Research of Social Science, Economics, and Management Vol. 5 No. 11 (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.v5i11.1570

Digital technology has transformed the way micro, small, and medium enterprises (MSMEs) promote products, interact with consumers, and increase sales. In Denpasar, MSMEs increasingly use Instagram and TikTok as marketing platforms because both offer broad reach, interactive features, and relatively low promotional costs. However, each platform has different characteristics and effectiveness in influencing consumer behavior. This study aims to compare the effectiveness of digital marketing strategies on Instagram and TikTok in boosting MSME sales in Denpasar. This research used a descriptive qualitative approach involving MSME actors who actively utilized Instagram and/or TikTok for at least six months. Data were collected through in-depth interviews, direct observation of social media accounts, and documentation of promotional content, engagement, and sales-related information. The data were analyzed using the Miles and Huberman model, consisting of data reduction, data display, and conclusion drawing, with source and method triangulation to ensure validity. The findings show that TikTok is more effective in attracting new audiences, creating viral exposure, increasing brand awareness, and encouraging impulse buying through short videos, live streaming, and affiliate collaboration. Meanwhile, Instagram is stronger in building credibility, displaying product catalogues, maintaining customer relationships, and supporting planned purchases. Therefore, the most effective strategy for MSMEs in Denpasar is a hybrid cross-platform model that positions TikTok as a traffic generator and Instagram as a conversion and customer-retention platform.

A Circular Economy-Based Strategy for the Development of Biochar from Oil Palm Empty Fruit Bunches to Increase Added Value at PT Perkebunan Nusantara IV Setyo Dwi Wijayanto; Nazaruddin Nazaruddin; Meilita Tryana Sembiring
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.v5i12.1573

This study aims to formulate a strategy for developing biochar from empty fruit bunches (EFB) waste based on a circular economy approach to increase the added value of PT Perkebunan Nusantara IV. As a large-scale palm oil plantation company, PTPN IV generates a significant volume of EFB from fresh fruit bunch processing. Current EFB utilization is still dominated by land application, incineration, and direct selling, which have not yet created optimal economic value for the company. This research applied a case study approach supported by qualitative and quantitative analysis through document review, interviews, limited observation, cost-benefit analysis, value-added analysis, risk analysis, and strategy formulation using SWOT and TOWS frameworks. The findings indicate that converting EFB into biochar has the potential to transform waste from a cost center into a value driver by reducing waste handling costs, partially substituting chemical fertilizer use, creating commercialization opportunities, and strengthening the company’s environmental and ESG performance. Biochar development also supports the implementation of a closed-loop supply chain between palm oil mills and plantations, making it consistent with circular economy principles. The recommended implementation strategy includes conducting a pilot project, developing standard operating procedures and quality standards, strengthening human resource capacity, establishing technology partnerships, conducting agronomic validation, and implementing the program gradually in operational units with the highest readiness. Therefore, EFB-based biochar development can serve as a sustainable business strategy that supports operational efficiency, downstream development, and added value creation for PTPN IV.

The Dilemma of Particular Ethics: an Analysis of The Rejection of Israeli Athletes at A Gymnastics Tournament in Indonesia Aloysius Don Luis Fernandez; Maria Puspitasari; Ahmad Ibrahim Badry
Journal Research of Social Science, Economics, and Management Vol. 5 No. 11 (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.v5i11.1574

The rejection of Israeli athletes’ participation in several international sporting events held in Indonesia has given rise to a complex ethical debate between the universal principles of international sport and the particular values embraced by the Indonesian nation. This study aims to analyze the particular ethical dimensions in the policy of rejecting Israeli athletes from international gymnastics tournaments in Indonesia and its implications for national resilience. The study uses a qualitative approach with a case study design through the analysis of documents, policies, media reports, and academic literature on sports ethics, deontology, Olympism, and national resilience. The results show that the policy of rejecting Israeli athletes cannot be understood solely as a discriminatory act in sport but rather as a manifestation of particular ethics rooted in constitutional values, humanitarian solidarity with Palestine, and Indonesia’s foreign policy orientation. However, the policy creates tension with the universal principles of international sport, which emphasize non-discrimination, political neutrality, and equal participation of athletes. The research findings indicate that this dilemma reflects a struggle between domestic moral legitimacy and global normative legitimacy. From a national resilience perspective, this case demonstrates the importance of maintaining a balance between the nation’s moral identity, humanitarian commitment, and the demands of international sporting governance. This research confirms that moral resilience at the national level is an important factor in facing increasingly complex global dynamics.

Analysis of The Application of Machine Learning in Predicting The Risk of Construction Project Delays Hengki Jayeng Pambudi; Muhammad Ahsan
Journal Research of Social Science, Economics, and Management Vol. 5 No. 11 (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.v5i11.1575

Construction project delays are one of the main challenges that impact costs, schedules, and economic benefits. This study aims to analyze the application of Machine Learning algorithms in predicting the risk of delay in construction projects, especially in the Balikpapan Refinery Development Master Plan (RDMP) project. The project's historical data for the 2020–2022 period was used to build a prediction model using the Support Vector Machine (SVM), Random Forest (RF), and Random Forest hybrid model optimized using Genetic Algorithm (RF-GA). The analysis process includes data cleansing, variable transformation, descriptive analysis, modeling, parameter optimization, and model performance evaluation using Accuracy, Precision, Recall, F1-score, and AUC metrics. The results of the descriptive analysis showed that the Construction discipline was the largest contributor to the cumulative deviation, while the Procurement and Engineering disciplines were relatively stable. Cumulative Dev variables, current period deviations (This Period Dev), and Previous Dev are proven to be the main factors causing project delays. Evaluation of the model's performance showed that RF-GA had the highest accuracy of 99.34%, with a Precision, Recall, and F1-score of 0.99 each and an AUC of 1,000, outperforming SVM and RF without optimization. The RF-GA model is also able to effectively predict project delay risks in the 2024–2025 period, with the predominance of delays in the construction discipline and consistent seasonal patterns. The findings of this study have significant managerial implications, namely the importance of monitoring time deviations from the early stages of the project, the focus of control on field activities,

The Influence of Influencer Authenticity and Electronic Word of Mouth (E-WOM) on Brand Trust: Empirical Evidence from N-Pure Skincare Consumers Elis Nur Haliza; Siska Ernawati Fatimah
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.v5i12.1491

This study examined the influence of influencer authenticity and electronic word-of-mouth (e-WOM) on brand trust in the context of N’Pure skincare consumers in Indonesia. The increasing dominance of digital marketing has transformed how consumers evaluate brands, with trust increasingly shaped by social media interactions and influencer communication. However, issues such as fake reviews, paid endorsements, and a lack of transparency have raised concerns regarding declining consumer trust. The objective of this research was to analyze the effect of influencer authenticity and e-WOM on brand trust. A quantitative approach was employed using a survey method, with data collected from 180 respondents selected through purposive sampling. The data were analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS) with SmartPLS software to test the proposed hypotheses. The results indicated that both influencer authenticity and electronic word-of-mouth had a positive and significant effect on brand trust. Influencers perceived as honest, consistent, and transparent were more likely to increase consumer confidence in a brand. Similarly, positive and credible e-WOM strengthened consumer trust through shared experiences and recommendations. In conclusion, influencer authenticity and e-WOM play crucial roles in shaping brand trust. This study highlights the importance of selecting credible influencers and managing online consumer feedback to strengthen the effectiveness of digital marketing strategies.

System Shift Risk, Measurement Error, and the Limits of Non-Experimental Marketing Measurement: An Exploratory Validation Using RCT Benchmarks Raymond Rubianto Tjandrawinata
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.v5i12.1525

The increasing complexity of digital advertising environments has created significant challenges in ensuring the accuracy and reliability of marketing measurement. Although randomized controlled trials (RCTs) are considered the benchmark for causal evaluation, their implementation is often constrained by cost, operational limitations, and managerial requirements, leading organizations to rely on non-experimental measurement approaches that may generate substantial estimation errors. This study aims to explore the role of system-level factors in explaining measurement error and to validate the System Shift Framework as a diagnostic approach for understanding the reliability of non-experimental marketing measurement. This research employs an exploratory quantitative design using six aggregate-coded marketing cases and compares non-experimental lift estimates with RCT benchmarks. Data analysis was conducted using descriptive statistics, correlation analysis, linear regression, regularized logistic regression, model comparison, and cluster analysis. The findings indicate that Strategy Quality and Feedback Maturity demonstrate the strongest associations with lower measurement error, higher accuracy, and improved measurement reliability, whereas the aggregate System Shift Risk Score shows limited explanatory power for continuous measurement error. The results suggest that measurement reliability is influenced not only by statistical methods but also by an organization’s capability to interpret, evaluate, and correct analytical outcomes. This study concludes that the System Shift Framework provides a complementary diagnostic perspective for improving marketing measurement practices by integrating causal inference with systems thinking.

Developing A Project Management Maturity Model to Enhance Execution Performance in Solar EPCProjects: A Case Study of an Engineering, Procurement, and Construction (EPC) Company Iftikar Fadhlirohman Soeroyo; Gatot Yudoko
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.v5i12.1528

PT TML Energy, an Engineering, Procurement, and Construction (EPC) company specializing in solar energy projects in Indonesia, experienced recurring project execution delays of 20–40% beyond planned schedules during 2021–2024. A review of project records indicated that these delays stem not from technical limitations but from systemic weaknesses in project management maturity. This study assesses the current level of project management maturity and develops a tailored Project Management Maturity Model to improve execution performance. A mixed-methods approach was applied: qualitative semi-structured interviews with four key informants explored why delays occur, while a quantitative questionnaire of twenty respondents measured maturity across seven PMBOK Knowledge Areas using Crawford’s (2014) Project Management Maturity Model. The qualitative analysis produced seven Knowledge-Area themes and identified five interconnected root causes of delay: absence of integrated pre-project planning, reactive and fragmented procurement, experience-dependent scheduling, informal communication, and absence of organizational learning. While the questionnaire placed the company at Level 4 (mean = 3.86), triangulation with interview evidence revealed a self-assessment inflation of approximately 1.3 levels, indicating an operational maturity at the upper boundary of Level 2. Five integrated business solutions were developed: an Integrated Project Management Plan template, a procurement lead-time integration framework, a parametric schedule database, a communication management plan template, and a lessons-learned database with a competency development framework. The findings demonstrate that single-method maturity assessments tend to overstate maturity, and that mixed-methods triangulation produces a more accurate and actionable maturity profile for emerging-market EPC contractors.

Designing A Knowledge Management-Based Framework For Operator Skill Transfer In Fast-Moving Consumer Goods (Fmcg) Manufacturing Susilo Dwi Raharjo; Muhammad Yorga Permana
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.v5i12.1531

Background: PT XYZ, a biscuit manufacturer in Bekasi, West Java, faces a critical knowledge attrition risk as many senior operators in its wafer stick area approach retirement within five years, while new-operator onboarding is slow, changeover time is extended, and defect rates are higher. These symptoms point to a deeper issue: the critical knowledge for optimal operator performance is largely tacit and not yet documented in a transferable form.Objective: This research designs a structured Knowledge Management (KM) framework that addresses this risk through systematic operator skill-transfer mechanisms, guided by three research questions on current KM practice, the forms of critical knowledge required, and the aspired KM framework.Methods: A qualitative case study was conducted using semi-structured interviews with ten internal informants across four role levels and one external benchmark informant, supported by Gemba Walk observation and Work Instruction document review. Thematic analysis followed Braun and Clarke combined with the Gioia data-structure method, mapping 127 quotes to the five enablers of Milton and Lambe: Strategy, Governance, People, Process, and Technology.Results: Current KM practice is informal, individual-dependent, and reactive, with the most acute pain point being the broken Externalization mode of the SECI cycle. Troubleshooting emerges as the primary tacit competence differentiator and the largest documentation gap.Conclusion: The research proposes the KM House Framework for Operator Skill Transfer, positioning Strategy as the roof, Governance as the foundation, Process and People as the two pillars, Technology as the enveloping layer, and the SECI cycle as the engine, operationalized through a 12-month implementation roadmap.

Analysis of The Impact of Liquidity, Capital Structure, and Asset Growth on The Value of Mining Companies in The Coal Subsector in Indonesia Ferly S. Rey; Ivonne S. Saerang; Hizkia H. D. Tasik
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.v5i12.1532

This study aimed to analyze the impact of liquidity, capital structure, and asset growth on firm value in coal mining subsector companies listed on the Indonesia Stock Exchange (IDX). The phenomenon of global coal price volatility and energy transition policies provided an important backdrop for examining the factors influencing market valuation in this sector. The population consisted of 27 coal mining companies. Using a purposive sampling method, 22 companies were selected as the research sample over the observation period 2021–2024, resulting in 88 panel observations. The data were analyzed using panel data regression, with the Fixed Effects Model (FEM) selected and estimated using the Panel EGLS (cross-section weights) method to address heteroskedasticity issues. The results indicated that, simultaneously, liquidity, capital structure, and asset growth had a significant effect on firm value. Partially, capital structure had a positive and significant effect on firm value, supporting the Trade-Off Theory, which suggests that debt usage provides tax shield benefits for coal mining companies. In contrast, asset growth had a negative and significant effect, indicating that overly aggressive asset expansion without corresponding profitability improvements is negatively perceived by the market. Meanwhile, liquidity was found to have no significant effect on firm value in this sector. The Adjusted R-squared value of 0.7120 indicated that the independent variables explained 71.20% of the variation in firm value.

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Home Page

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Google Scholar

Contact Name Zidnal Falah

Contact Email jurnalcomserva@gmail.com

Phone +6285322218207

Journal Mail Official muhammadzidnal31@gmail.com

Editorial Address Jl. Ki Ageng Tapa (Perumahan Pondok Mutiara Gegunungan Blok F9) RT 3, RW Gegunungan, Sumber, Kab. Cirebon, Jawa Barat.

Location Kab. cirebon, Jawa barat INDONESIA

Abstract

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Contact Name
Zidnal Falah

Contact Email
jurnalcomserva@gmail.com

Phone
+6285322218207

Journal Mail Official
muhammadzidnal31@gmail.com

Editorial Address
Jl. Ki Ageng Tapa (Perumahan Pondok Mutiara Gegunungan Blok F9) RT 3, RW Gegunungan, Sumber, Kab. Cirebon, Jawa Barat.

Location
Kab. cirebon,

Jawa barat

INDONESIA