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Journal of Social Research
Published by CV. International Journal Labs
ISSN : 28279832     EISSN : 2828335x     DOI : https://doi.org/10.55324
Core Subject : Economy, Humanities, Science, Education, Social,
Humanities Computer Science & IT Economics, Econometrics & Finance Education Social Sciences
The Journal of Social Research is a double blind peer-reviewed academic journal and open access to social and scientific fields. The journal is published monthly by International Journal Labs. The Journal of Social Research 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 social sciences, ranging from Management, Economics, Culture, Law, Public Health, and Education that belong to the social context.
Arjuna Subject : Umum - Umum
Articles 1,365 Documents
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Utilization of Business Intelligence Dashboards for Continual Improvement of It Services and Efficient Workforce Demand Prediction Based on Service Desk Ticket Data Chalid Sahuri, Afandi; Muklason, Ahmad
Journal of Social Research Vol. 5 No. 4 (2026): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v5i4.3077

Abstract

In the digital age, organizations must provide efficient and reliable IT services to ensure business continuity. The implementation of ITIL 4 as a framework for IT service management has become essential in many organizations, including PT XYZ. However, challenges persist in service performance reporting, particularly due to manual, time-consuming processes and the absence of predictive analytics. This research focuses on the design and development of a Business Intelligence (BI) dashboard that integrates ITIL 4 principles to automate reporting, track SLA trends, and predict IT workforce needs. Using historical ticket data, this study employs ARIMA forecasting to predict future ticket volumes and optimize workforce planning. The BI dashboard provides a visual, real-time overview of service performance, ticket status, and SLA compliance, replacing traditional manual processes. Interviews with IT managers from various regions of PT XYZ inform the dashboard's design, ensuring it meets operational and strategic needs. The results indicate that the BI dashboard significantly improves reporting efficiency, enhances SLA monitoring, and supports data-driven decision-making. The integration of descriptive and predictive analytics provides a robust decision-support framework, promoting continual improvement in IT service management. Future research will enhance the system by incorporating external variables and hybrid forecasting models.
Relationship of Triglyceride Levels with the Incidence of Acute Coronary Syndrome in Patients with Type 2 Diabetes Mellitus at RSPAL Dr. Ramelan Surabaya Pakungwati, Tan Wulan; Andisari, Hendrata Erry; Mu’minin, Amiril
Journal of Social Research Vol. 5 No. 4 (2026): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v5i4.3085

Abstract

Type 2 Diabetes Mellitus (DM) is a major global health issue with increasing prevalence, including in Indonesia, where it significantly contributes to cardiovascular diseases such as Acute Coronary Syndrome (ACS). This study investigates the relationship between triglyceride levels and ACS occurrence in Type 2 DM patients at RSPAL Dr. Ramelan Surabaya. The objective is to explore triglyceride distribution, examine its relationship with ACS, and assess age and gender variations in ACS incidence. Using a cross-sectional observational design, secondary data from the medical records of 92 patients were analyzed. The study found that a high percentage of patients had lipid metabolism disorders, with most exhibiting normal triglyceride levels. The distribution of ACS events revealed that APTS was most prevalent, followed by IMA-EST. Spearman correlation tests showed no statistically significant relationship between triglyceride levels and ACS occurrence (p > 0.05). However, the study indicated that other multifactorial risk factors, such as age, gender, and lifestyle factors, played a more crucial role in the incidence of ACS in Type 2 DM patients. This study suggests that while triglyceride levels alone may not serve as a significant predictor, they could be useful in conjunction with other risk factors for early detection and prevention strategies in clinical settings. Further research is needed to explore causality and develop more effective treatment protocols.
The Relationship of HbA1c Levels with Symptoms of Gastroesophageal Reflux Disease (GERD) in Type 2 Diabetes Mellitus Patients at Prof. Dr. Soekandar Mojokerto Hospital Shafwina Althaf, Aisha; Andisari, Hendrata Erry; Handajani, Fitri
Journal of Social Research Vol. 5 No. 4 (2026): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v5i4.3086

Abstract

This study aims to investigate the relationship between HbA1c levels and the occurrence of gastroesophageal reflux disease (GERD) symptoms in patients with Type 2 diabetes mellitus (T2DM) at Prof. Dr. Soekandar Hospital, Mojokerto. The prevalence of GERD in diabetic patients, particularly those with poor glycemic control, is a growing concern globally. The primary objective was to determine whether varying HbA1c levels correlate with the severity of GERD symptoms, as measured using the GERD-Q score. A cross-sectional observational design was employed, with data collected through HbA1c measurements and GERD-Q questionnaires from 52 patients with T2DM. The study utilized both univariate and bivariate analyses, including chi-square tests, to evaluate the relationship between glycemic control and GERD symptoms. The results indicated a significant association between higher HbA1c levels and increased GERD prevalence, with 88.9% of patients in the uncontrolled HbA1c group exhibiting GERD symptoms. The chi-square test revealed a significant p-value of <0.001, confirming a strong correlation between poor glycemic control and GERD incidence. This study highlights the importance of glycemic control in reducing the risk of gastrointestinal complications, particularly GERD, in patients with T2DM. Further research is needed to explore the pathophysiological mechanisms underlying this relationship and to develop targeted clinical interventions.
Cyberbullying Among Minors and Early Prevention Measures RAS, Hernawati; Asron Purba, Jhon; Rusdi, Rusdi; Eka Putra, Roni
Journal of Social Research Vol. 5 No. 4 (2026): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v5i4.3094

Abstract

This study aims to analyze the phenomenon of cyberbullying among adolescents and the early prevention measures that can be applied. Cyberbullying is a form of online violence carried out through social media and other digital platforms that can cause serious psychological impacts on victims, including anxiety, depression, and even suicide. Using a qualitative method based on a case study approach, this research analyzes the characteristics of cyberbullying behavior, its underlying causes, and the negative impacts it has on adolescents. Data were collected through library research, observations, and interviews with experts and education practitioners. The findings show that cyberbullying is often triggered by personal characteristics, perceptions of the victim, and a lack of empathy among perpetrators. Furthermore, the roles of parents, schools, and society are crucial in the prevention and management of cyberbullying. This study suggests the importance of early digital literacy education, stricter parental supervision of children's social media use, and the role of schools in establishing rules and policies that support cyberbullying prevention. In conclusion, addressing cyberbullying requires a comprehensive approach from all relevant parties to create a safe environment for adolescents in the digital world.
Explaining Consumer Continuance Intention toward AI-Enabled E-Commerce Jiwasiddi, Angtyasti
Journal of Social Research Vol. 5 No. 4 (2026): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v5i4.3103

Abstract

The increasing integration of artificial intelligence (AI) into e-commerce platforms has transformed consumer-platform interactions. However, empirical understanding of how AI-enabled service experiences shape consumer continuance intention remains limited, particularly in emerging markets. This research aims to examine the effects of AI service experience dimensions AI responsiveness, AI reliability, and AI empathy on consumer continuance intention toward AI-enabled e-commerce platforms. It also investigates trust as a mediating mechanism, considering the roles of novelty seeking and parasocial interaction. A quantitative, cross-sectional survey was conducted using data from the Omnibus Survey on AI Usage in E-Commerce 2024 in Indonesia. A total of 725 valid responses were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that AI responsiveness, AI reliability, and AI empathy positively influence trust, with AI empathy showing the strongest effect. All three AI service dimensions also have direct positive effects on continuance intention. Trust significantly influences continuance intention and partially mediates the relationships between AI service dimensions and continuance intention. Additionally, novelty seeking and parasocial interaction both positively affect continuance intention. The findings suggest that continuance intention toward AI-enabled e-commerce platforms is shaped by a combination of experiential, cognitive, motivational, and relational factors. The study extends information systems continuance theory by demonstrating that experiential and relational evaluations of AI services complement trust-based mechanisms in explaining sustained consumer engagement. These insights are important for the design and management of AI-enabled e-commerce platforms in emerging digital markets.
The Optimization of Efficiency in Grid-Connected PV Systems in Tropical Climates Using a Single-Axis Solar Tracker Based on Simulation Parapa, Hendra Budiono Putra; Budiarto, Rachmawan; Ridwan, Mohammad Kholid
Journal of Social Research Vol. 5 No. 4 (2026): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v5i4.3106

Abstract

The high potential for solar radiation in the tropics demands a Solar Power Plant (PLTS) system that can adapt to the sun's dynamic annual movements. Conventional fixed-tilt systems tend to be suboptimal at low latitudes due to the limited variation in solar radiation angle throughout the year. This study aims to evaluate and optimize the performance of on-grid solar power plants using a horizontal east-west single-axis solar tracker (SAT), as well as to analyze the effect of increased thermal losses on system efficiency in tropical climatic conditions. The case study was conducted on an on-grid solar power plant with a capacity of 50.4 kWp located in Mawang, Makassar (5.22° S), with a fixed-tilt system at a tilt angle of 17° as a comparison. The research methodology used a PVsyst software-based simulation approach with the activation of a backtracking scheme to mitigate inter-row shading at a ground coverage ratio of approximately 55.8%. The simulation results showed that the application of single-axis trackers increased the annual energy channeled to the grid (E<sub>Grid</sub>) by 4.81%, equivalent to 3,149 kWh. However, the increase in the Performance Ratio (PR) was relatively limited, from 0.794 to 0.798, due to the increase in module thermal losses reaching 13.3%. These findings make a quantitative contribution regarding the trade-off between increased irradiation capture and thermal penalty in the application of single-axis trackers in the tropics, and confirm that the optimization of tracking systems depends not only on optical aspects but also on the thermal management of photovoltaic modules.
Factors Influencing Purchase Intention for Electric Motorcycles in Indonesia: An Integrated Theory of Planned Behavior–Technology Acceptance Model Approach Oktavianus Yusan, Budi; Susan, Marcellia; Nurbasari , Anny
Journal of Social Research Vol. 5 No. 4 (2026): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v5i4.3107

Abstract

This study examines Indonesian consumers' intention to purchase electric motorcycles by identifying the factors that influence it, using an integrated Theory of Planned Behavior (TPB)–Technology Acceptance Model (TAM) framework. A cross-sectional survey (n = 143) was conducted, and data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The measurement model showed acceptable reliability and validity. The findings revealed that attitude was the strongest direct predictor of purchase intention (? = .353), followed by subjective norms (? = .315) and perceived behavioral control (? = .214), explaining 54.7% of the variance in intention (R² = .547). Technology beliefs influenced intention indirectly through TPB pathways: perceived usefulness strongly predicted attitude (? = .709), while perceived ease of use positively predicted perceived behavioral control (? = .490), supporting both mediation effects. The model also demonstrated predictive relevance in cross-validation. Theoretically, the study extends TPB–TAM evidence to Indonesia's two-wheeler context by showing that TAM beliefs operate through attitude and control. Practically, the findings suggest three levers to raise purchase intention: quantified value communication (e.g., total cost of ownership, reliability, daily convenience), friction reduction (test rides, charging and service enablement), and social-proof activation (peer/community endorsement).
Digital Transformation of Services in Hospitals: The Role of Service Quality and Digital Readiness Siahaan, Sebrina Erika; Saragih, Susanti
Journal of Social Research Vol. 5 No. 4 (2026): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v5i4.3112

Abstract

Digital transformation in the health sector places the Hospital Management Information System as a strategic element in improving operational efficiency and service quality. However, the success of SIMRS implementation is not only determined by technical aspects, but also by the digital readiness of users. This research aims to analyze the determinants of the success of SIMRS implementation by integrating the Delone and McLean Information Systems success models and digital readiness variables as moderation. This study uses a quantitative approach with a survey method of 118 SIMRS users in several hospitals in the city of Bandung. Data were collected through an online questionnaire and analyzed using Partial Least Squares-Structural Equation Modeling (PLS-SEM). The results of the study show that the quality of the system affects the net benefit through the end user of SIMRS, but not through user satisfaction. Meanwhile, information quality has the most consistent influence on net benefits both through SIMRS end-users and user satisfaction. The quality of service only affects the net benefit through user satisfaction, but not through the end user of SIMRS. In addition, digital readiness has been shown to strengthen the influence of system quality and information quality on the use of SIMRS, but does not moderate user satisfaction. These findings confirm that digital readiness strengthens technical system utilization, while user satisfaction is primarily driven by information quality and overall user experience. The study implies that hospital management should prioritize enhancing information quality, system reliability, and digital readiness of human resources to optimize SIMRS benefits
3PL Shipping Company Vendor Selection Model for Nickel Ore Processing Companies Adityawan, Ferdy; Vanany, Iwan
Journal of Social Research Vol. 5 No. 4 (2026): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v5i4.3054

Abstract

The nickel ore processing industry requires an efficient supply chain system to ensure production continuity and global competitiveness, especially in the distribution of raw materials to smelting facilities. One of the main problems faced by companies is the selection of Third-Party Logistics (3PL) vendors, which has not fully considered quality, performance, and safety aspects comprehensively. This study aims to analyze the selection of the most optimal 3PL vendor in supporting the effectiveness of the supply chain in nickel ore processing companies. The research method used is a quantitative approach based on Multi-Criteria Decision-Making (MCDM) with the integration of the Analytic Hierarchy Process (AHP) and VIKOR methods. AHP is used to determine the weight of six criteria and fifteen sub-criteria, while VIKOR is used to conduct the alternative ranking of 3PL vendors. The results showed that the quality and safety criteria carry a higher weight than price, which confirms the importance of the total cost of quality approach in logistics decision-making. PT A is recommended as the best vendor alternative based on the lowest VIKOR index value. This study concludes that the selection of the right 3PL vendor has a significant effect on the supply chain effectiveness of the nickel ore processing industry.
Implementation of Ergonomic Socio-Culture to Improve Health Quality and Caring Attitude Toward Local Wisdom in Tailoring Arnita, Ni Putu Sri; Ketut Sri Wiraswati, Anak Agung; Gandhi Sanjiwani, Ni Made; Mia Lestari Devi, Ni Luh Putu
Journal of Social Research Vol. 5 No. 4 (2026): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v5i4.3059

Abstract

Majejasung is closely related to religious ceremonies in Bali. With the passage of time, the younger generation has become increasingly reluctant to learn tailoring. This is attributed to the prevalence of a consumerist and convenience-driven lifestyle, whereby many choose to purchase ready-made ceremonial attire. The specific objectives of this study were to examine the role of ergonomic socio-culture in improving health quality and fostering caring attitudes toward the local wisdom of sekaa sesung in sekaa teruna. The method employed was experimental, specifically a quasi-experimental research design, using a same-subject design with a randomized posttest-only control group pattern. The targeted findings were: the implementation of ergonomic socio-culture could improve health quality, as evidenced by reductions in boredom and fatigue measured using the Boredom and Fatigue Questionnaire (30-Item Rating Scale), and an increase in caring attitude toward the local wisdom of tailoring, measured using the Caring Attitude toward Local Wisdom Questionnaire. The results demonstrated that the implementation of ergonomic socio-culture improved health quality, as evidenced by: (a) a reduction in boredom by 39.17%; (b) a reduction in fatigue by 33.54%; (c) an increase in caring attitude toward the local wisdom of tailoring by 45.06%. Thus, it can be concluded that ergonomic socio-culture improves health quality (by reducing boredom and fatigue) and enhances caring attitudes toward local wisdom in sekaa teruna.

Page 134 of 137 | Total Record : 1365

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