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Equivalent: Jurnal Ilmiah Sosial Teknik
Published by Politeknik Siber Cerdika Internasional
ISSN : 27750329     EISSN : 27750833     DOI : 10.59261
Core Subject : Economy, Social, Engineering,
Economics, Econometrics & Finance Electrical & Electronics Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Social Sciences
Equivalent: Jurnal Ilmiah Sosial Teknik provides a means for ongoing discussion of relevant issues including the focus and space of the journal which can be examined empirically. This journal publishes research articles covering all aspects of Civil Engineering, Environmental Engineering, computer Engineering, Industrial Engineering, Mechanical Engineering, Electrical Engineering, Social and Political Sciences, Education, Economics, Management, Sociology, Religion, Law that belong to the social and engineering context.
Arjuna Subject : Ilmu Sosial - Ilmu Sosial (Lain-Lain)
Articles 260 Documents
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Sustainable Competitive Advantage in the Class C Hospital Industry: A Qualitative Study of Strategic Factors in the Tapal Kuda Region of East Java Siti Asiyah Anggraeni; Fendy Suhariadi; Fiona Niska Dinda Nadia
Equivalent: Jurnal Ilmiah Sosial Teknik Vol. 8 No. 3 (2026): Equivalent: Jurnal Ilmiah Sosial Teknik
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jequi.v8i3.349

Abstract

Background: The healthcare industry is rapidly changing due to technological advancement, policy reform, rising patient expectations, and institutional competition. Class C hospitals in regional areas such as the Tapal Kuda region of East Java face challenges in sustaining competitiveness amid limited resources and dynamic healthcare demands. However, studies on sustainable competitive advantage in the Class C Hospital remain limited. Objective: This study aims to analyze the strategic factors influencing sustainable competitive advantage in Class C hospitals in the Tapal Kuda region of East Java. Methods: This study used a qualitative, descriptive-exploratory approach. Data were collected through semi-structured interviews with eight key informants from four Class C hospitals, including hospital directors, heads of medical services, nursing managers, and healthcare administrators. Field observations and institutional document reviews were also conducted. Informants were selected through purposive sampling, and data were analyzed thematically through data reduction, data display, interpretation, and conclusion drawing. Results: The findings identified six strategic dimensions influencing sustainable competitive advantage: digital transformation, technological innovation, organizational resilience, adaptive leadership, human resource competence, and a patient-centered organizational culture. Electronic medical records and telemedicine were identified as important tools for improving service efficiency, while regional socioeconomic disparities, limited specialist availability, and infrastructure gaps constrained hospital competitiveness. Conclusion: Sustainable competitive advantage in Class C hospitals is multidimensional and depends on organizational adaptability, innovation capability, strategic flexibility, and contextual responsiveness. Hospitals that integrate technology, develop competent human resources, and implement patient-centered services are more likely to achieve long-term sustainability and competitiveness.
Scenario-Based Risk and Control Formulation for Electronic Banking Channels ATM and EDC in Indonesian Commercial Banks Navya Kirana Safitri; Sinung Suakanto; Basuki Rahmad
Equivalent: Jurnal Ilmiah Sosial Teknik Vol. 8 No. 3 (2026): Equivalent: Jurnal Ilmiah Sosial Teknik
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jequi.v8i3.353

Abstract

Background: ATMs and EDCs remain critical infrastructure components within Indonesia’s national payment system. However, their extensive utilization exposes commercial banks to various technological, operational, human, physical, and third-party risks. Despite recurring incidents comprehensive studies that formulate ATM and EDC risk scenarios and corresponding control measures within the Indonesian banking context remain limited. Objective: This study formulates risk scenarios and corresponding control measures for ATM and EDC electronic banking channels in Indonesian commercial banks. Methods: A structured literature review was conducted using six academic databases: Google Scholar, ScienceDirect, ResearchGate, Scopus, Wiley Online Library, and MDPI. The identified risks were analyzed using the ISACA Risk IT Framework and mapped to the NIST Cybersecurity Framework (CSF) 2.0 and ISO/IEC 27001:2022 standards. The proposed model was validated by six Subject Matter Experts (SMEs) with expertise in banking operations, IT risk management, information security, and payment systems using a 1–5 Likert scale. Results: The study identified 25 risk scenarios across six categories and formulated 25 consolidated control measures. Each scenario links risk sources or threat actors, risk events, potential impacts, and corresponding controls. The controls were classified as preventive, detective, and corrective measures and mapped across the people, process, and technology dimensions. Expert validation produced an average score of 4.13/5.00 (83%), indicating a high level of acceptance. Conclusion: As a proposed model derived from a systematic literature review and expert validation, this study provides a structured reference framework for risk management practitioners and policymakers in Indonesian commercial banking institutions.
Field Data Integrated Vehicle Routing Optimization Using Greedy Allocation, NNH, and 2-Opt for Landfill Waste Collection Agnan Zakariya; Suryadiputra Liawatimena
Equivalent: Jurnal Ilmiah Sosial Teknik Vol. 8 No. 3 (2026): Equivalent: Jurnal Ilmiah Sosial Teknik
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jequi.v8i3.354

Abstract

Background: Inefficient waste collection practices in urban areas lead to excessive vehicle trips, increased fuel consumption, and unnecessary greenhouse gas emissions. Landfill operations face challenges in route planning because deploying IoT sensors across large and harsh environments is often impractical. Objective: This study proposes a field-data-integrated vehicle routing optimization framework for landfill waste collection that combines greedy allocation, the nearest neighbor heuristic (NNH), and 2-opt local search to minimize travel distance and fuel consumption. Methods: A priority-based capacitated vehicle routing problem (CVRP) model was developed using fill level, waste tonnage, and proximity to the depot as weighted scoring factors within a Design Science Research (DSR) framework, using operational data from 15 landfill drop points in Cakung Barat, East Jakarta. Results: The optimized approach reduced total travel distance by 7.0% and fuel consumption by 7.5% compared with the sequential baseline, while maintaining full service coverage and identical vehicle utilization at 73.2%. A paired t-test confirmed the statistical significance of the improvement (p = 0.038). Conclusion: Field-reported operational data, integrated with multifactor priority scoring and spatial optimization heuristics, provides a practical, cost-effective, and scalable alternative to sensor-based monitoring for landfill waste collection routing.
Digital Transformation and Operational Performance in Manufacturing: A Systematic Literature Review and Industry-Specific Recommendation Matrix Riyanti Hamdani; Wirawan Endro Dwi Radianto; David Sukardi Kodrat
Equivalent: Jurnal Ilmiah Sosial Teknik Vol. 8 No. 3 (2026): Equivalent: Jurnal Ilmiah Sosial Teknik
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jequi.v8i3.355

Abstract

Background: Digital transformation has become a key driving force in improving operational performance in the global manufacturing industry.Objectives: This study aims to (1) describe the existing empirical evidence regarding the impact of digital transformation on operational performance in the manufacturing industry and (2) provide recommendations for developing appropriate digital transformation strategies based on the characteristics of different manufacturing industry types. Methods: This study employed a qualitative research design using a systematic literature review approach. Following the PRISMA protocol, 17 articles published between 2015 and 2025 were retrieved from Scopus, Web of Science, and Google Scholar. The selected studies were analyzed using thematic synthesis and coded categorization to identify recurring patterns, technological trends, and industry-specific transformation outcomes.Results: All reviewed studies reported positive impacts of digital transformation on operational performance, with Big Data Analytics and Artificial Intelligence emerging as the dominant technologies. Benefits varied across manufacturing sectors. Discrete manufacturing achieved faster and more measurable improvements, whereas process manufacturing sectors, including pharmaceuticals, agri-food, and semiconductors, experienced longer implementation pathways because of regulatory requirements, biological constraints, and human adoption challenges. Among the 17 studies, Big Data Analytics appeared in 13 articles and Artificial Intelligence in 12, confirming their central role in enhancing manufacturing operations. Conclusions: Based on these findings, this study proposes a five-category recommendation matrix for digital transformation strategies tailored to different manufacturing industry characteristics. This matrix represents the study’s primary practical contribution by providing industry-oriented guidance for organizations seeking to optimize operational performance through digital transformation initiatives.
AHP-SERVPERF Assessment of Five-Star Hotel Service Quality Using TripAdvisor Reviews in Surabaya Keisya Tifany; Agustinus Nugroho; Adrie Oktavio; Fabiola Leoparjo
Equivalent: Jurnal Ilmiah Sosial Teknik Vol. 8 No. 3 (2026): Equivalent: Jurnal Ilmiah Sosial Teknik
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jequi.v8i3.357

Abstract

Background: Conventional SERVPERF-based hotel service quality assessments often rely on questionnaires, which may lead to midpoint bias, limited engagement, and subjective interpretation. Therefore, online customer reviews offer an alternative data source for capturing authentic service experiences. Objective: This study aims to evaluate service quality in five-star hotels in Surabaya by integrating SERVPERF, Analytical Hierarchy Process (AHP), text mining, sentiment analysis, and the 2-tuple linguistic model. Methods: A total of 1,200 TripAdvisor reviews from five five-star hotels in Surabaya were collected and analyzed. Expert judgments were obtained through AHP to determine the weight of each SERVPERF dimension. Review texts were segmented, classified into SERVPERF dimensions using a Large Language Model, and analyzed using TextBlob sentiment polarity. The results were then integrated into the 2-tuple linguistic model. Results: Tangibles was the most frequently discussed and most positively perceived dimension in customer reviews. However, Reliability received the highest expert-based AHP weight and became the most influential dimension after weighted SERVPERF scoring, followed by Responsiveness, Assurance, Empathy, and Tangibles. Conclusion: The proposed hybrid model provides a more comprehensive and data-driven approach to hotel service quality assessment by combining authentic customer reviews with expert-based weighting. This method helps hotel managers identify priority areas for service improvement more objectively.
Determinants of Mobile Banking Adoption Intention among Rural Non-Users in Indonesia: An Extended UTAUT Model Hendra Prabha; Anderes Gui
Equivalent: Jurnal Ilmiah Sosial Teknik Vol. 8 No. 3 (2026): Equivalent: Jurnal Ilmiah Sosial Teknik
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jequi.v8i3.359

Abstract

Background: This study examines the determinants of mobile banking adoption intention among rural non-users in Indonesia by applying an exended Unified Theory of Acceptance and Use of Technology (UTAUT) model. Methods: A cross-sectional survey was conducted among 397 rural smartphone owners aged 20–59 years who had never used mobile banking, selected through purposive sampling. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) in SmartPLS, with 10,000 bootstrap subsamples and one-tailed significance tests. Results: The findings indicate that awareness, facilitating conditions, and performance expectancy exert positive and significant effects on behavioral intention, whereas technology anxiety exerts a significant and substantively meaningful negative effect (f² = 0.027). Perceived risk also shows a significant negative effect, but its effect size is negligible (f² = 0.016), indicating only a marginal practical contribution despite statistical significance. By contrast, effort expectancy and social influence do not show significant effects. The model explains a moderate proportion of variance in behavioral intention (R² = 0.568) and demonstrates an acceptable model fit (SRMR = 0.049). Conclusion: The results suggest that mobile banking adoption intention among rural non-users is shaped more by perceived usefulness and enabling conditions, with technology anxiety acting as the most practically important psychological barrier and perceived risk playing a comparatively minor role. In contrast, ease of use and social influence appear to be less decisive factors. These findings provide empirical support for inclusion-oriented outreach strategies that prioritize anxiety reduction and confidence building, alongside clear value communication and structured onboarding support.
A Theoretical Framework and 38-Feature Taxonomy for Behavioral Fraud Detection in Digital Banking Ardi Darmawan; Thoyyibah T
Equivalent: Jurnal Ilmiah Sosial Teknik Vol. 8 No. 3 (2026): Equivalent: Jurnal Ilmiah Sosial Teknik
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jequi.v8i3.360

Abstract

Background: Traditional rule-based systems are increasingly inadequate for addressing dynamic financial threats because of their reactive nature and susceptibility to concept drift. At PT XYZ, this vulnerability resulted in a sharp decline in fraud prevention effectiveness, from 90.4% in 2022 to 75.3% in 2025, leaving a critical 24.7% security gap. Objective: This study aimed to develop a behavioral fraud detection framework for digital banking by integrating a 38-feature account-level taxonomy with Isolation Forest, LightGBM, CatBoost, and the Synthetic Minority Over-sampling Technique (SMOTE) to overcome the limitations of legacy rule-based systems. Methods: The study established a proactive theoretical framework using the Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology to shift from transaction-level monitoring to holistic account-level behavioral profiling. Central to this approach was a 38-feature taxonomy that integrated statistical aggregates, temporal signatures, velocity flags, and volume metrics to map the behavioral “fingerprint” of at-risk accounts. Results: Empirical testing on 402 unique accounts confirmed that the proposed architecture successfully closed the identified 24.7% security gap. Both the LightGBM and CatBoost classifiers achieved a perfect recall score of 1.0000 and an accuracy of 0.9972. LightGBM emerged as the best-performing model, with a receiver operating characteristic area under the curve (ROC AUC) of 0.9996, significantly outperforming traditional logistic regression. Conclusion: The proposed framework effectively improved fraud detection by combining behavioral profiling, hybrid anomaly detection, and balanced ensemble learning. LightGBM and CatBoost achieved 99.72% accuracy, 100% recall, and a 99.96% ROC AUC, demonstrating a practical and explainable approach to proactive digital banking fraud detection.
Capacitor Bank Placement Enhancement Using Grey Wolf Algorithm for Reducing Harmonics in Low-Voltage Radial Distribution Networks Happy Aprillia; Oik Rizki Septianto; Barokatun Hasanah; Suratno Suratno
Equivalent: Jurnal Ilmiah Sosial Teknik Vol. 8 No. 3 (2026): Equivalent: Jurnal Ilmiah Sosial Teknik
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jequi.v8i3.365

Abstract

Background: Low-voltage distribution systems are increasingly affected by harmonic distortion due to nonlinear loads, leading to power losses, reduced efficiency, and poor power quality. Capacitor banks are commonly used for reactive power compensation; however, improper placement may worsen harmonic conditions due to resonance effects. Objective: This study aims to optimize capacitor bank placement in a low-voltage radial distribution system while improving power quality and minimizing harmonic distortion using the Grey Wolf Optimizer (GWO). Method: A quantitative, simulation-based approach was applied using a 12-bus radial distribution model of an integrated laboratory system. Power flow analysis was conducted using the Backward/Forward Sweep (BFS) method, while optimization of capacitor placement and sizing was performed using the Grey Wolf Optimizer (GWO), considering multi-objective criteria including power loss, total harmonic distortion of current (THDI), total harmonic distortion of voltage (THDV), and power factor. Result: The proposed GWO allocated a total of 1000 kVAr across selected buses, resulting in a 4.41% reduction in active power loss, a decrease in THDV from 6.181% to 1.517%, and an improvement in power factor to unity (1.0 pu). However, THDI remained at 18.71%, exceeding IEEE 519-2014 limits, indicating the need for additional harmonic filtering solutions. Conclusion: The Grey Wolf Optimizer (GWO) is effective for optimizing capacitor placement and improving voltage-related power quality. However, additional harmonic mitigation techniques are required to comprehensively address current distortion.
Cost and Time Efficiency Comparison of RISHA and Conventional Construction for Type 36 Post-Disaster Housing in Rua Village, Ternate Rais D. Hi Yusuf; Joni Hermanto; Muhammad Yusri Abdul Gani
Equivalent: Jurnal Ilmiah Sosial Teknik Vol. 8 No. 3 (2026): Equivalent: Jurnal Ilmiah Sosial Teknik
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jequi.v8i3.366

Abstract

Background: The increasing demand for rapid, affordable, and reliable housing has encouraged innovation in construction methods, including the RISHA modular system. However, its cost and time efficiency compared with conventional construction remain debated, especially in post-disaster and remote areas. Objective: This study aims to compare the construction costs and implementation time of the RISHA (Rumah Instan Sederhana Sehat) modular construction method and the conventional construction method for a Type 36 single-story house. Methods: This research employed a comparative quantitative approach. Data analysis included: (1) calculating work volume for each work category, (2) conducting unit price analysis based on the Ministry of Public Works and Housing’s Standard Unit Price Analysis (Analisis Harga Satuan Pekerjaan, AHSP) and Regional Standard Unit Prices (Harga Satuan Pokok Kegiatan, HSPK), (3) preparing the Cost Budget Plan (Rencana Anggaran Biaya, RAB), and (4) calculating implementation time using the work coefficient method. Results: The results show that the RISHA method required a total cost of IDR 167,918,089.00 and an implementation duration of 56 working days, or 8 weeks. Meanwhile, the conventional method incurred a cost of IDR 172,562,093.00 and required 75 working days, or 11 weeks. Thus, RISHA construction provided cost savings of 2.69% and time efficiency of 25% compared with the conventional method. Although the cost of the RISHA superstructure was higher due to the use of precast components, significant savings in foundation and wall work, along with an accelerated construction timeline, made RISHA a more efficient overall alternative. Conclusion: Therefore, it can be concluded that the RISHA method offers advantages in cost and time efficiency for constructing a simple Type 36 house in the context of this study.
Life Cycle Cost of Eco-Friendly Building Materials in Office Buildings: Supporting GBCI Greenship Certification Asep Suhana; Hetty Fadriani; Handoko Subawi
Equivalent: Jurnal Ilmiah Sosial Teknik Vol. 8 No. 3 (2026): Equivalent: Jurnal Ilmiah Sosial Teknik
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jequi.v8i3.368

Abstract

Background: Indonesia’s construction sector faces challenges in reducing environmental impacts while maintaining the economic feasibility of projects. Objective: This study aims to analyze the life cycle cost (LCC) of environmentally friendly materials used in office building envelope components and evaluate their contribution to achieving points in the Green Building Council Indonesia (GBCI) Greenship certification system. Methods: A quantitative comparative case study approach was employed on a five-story office building in Jakarta, with an analysis period of 30 years and a discount rate of 8%. The evaluated components included wall systems, concrete structures, and façade glazing, comparing conventional materials with environmentally friendly alternatives such as autoclaved aerated concrete (AAC) blocks, geopolymer concrete, and low-emissivity (low-e) glass. The data were analyzed using the LCC equation and supplemented with sensitivity analyses of discount rates and energy price variations. Results: The results showed that although the initial costs of environmentally friendly materials were 12–18% higher, the total LCC over 30 years was 9.5–9.8% lower than that of conventional materials. The cost break-even point occurred between the 9th and 11th years. Furthermore, the application of these materials contributed six points to the Material Resources and Cycle category in the GBCI Greenship v1.2 rating system. Conclusion: This study concludes that the LCC approach can serve as a basis for rational decision-making to encourage the adoption of green building materials in Indonesia.

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