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Journal of Research in Social Science and Humanities
Published by UK Institute
ISSN : 28093356     EISSN : 28073916     DOI : http://doi.org/10.47679/jrssh.v1i2.12
Core Subject : Religion, Economy, Humanities, Science, Education, Art, Social,
Religion Arts Humanities Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Social Sciences Other
Journal Research of social science and Humanities is a peer-reviewed, international, and intercultural journal. It promotes interdisciplinary research with a primary focus on original research or reviews in humanities and social sciences. Articles are welcome in the following seven sections: Education and Assessment, English Language & Literature, Media & Journalism, Politics & Governance, Psychology, Sociology, and Economics & Commerce. Journal audiences are learned readers, researchers, policymakers, administrators, and educational organizations.
Arjuna Subject : Ilmu Sosial - Ilmu Sosial (Lain-Lain)
Articles 52 Documents
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Search results for , issue "Vol 5, No 4 (2025)" : 52 Documents clear
Marketing Strategy Analysis to Increase the Sales Volume of Fresh Gourami Fish at Bintang Gurame Distributor in Pringsewu, Lampung Putra, Dimastiar Mulia; Defrizal, Defrizal
Journal of Research in Social Science and Humanities Vol 5, No 4 (2025)
Publisher : Utan Kayu Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/jrssh.v5i4.532

Abstract

This research is focused on the study of applied marketing strategies and identify supporting and inhibiting factors through the integration of the marketing mix (4P) and SWOT analysis. The research approach used is qualitative descriptive, with data collection techniques in the form of observation, interviews, and documentation. The use of SWOT analysis poured into the IFAS and EFAS matrix, based on the results of the analysis, showed that the Bintang Gurame Distributor obtained an IFAS score of 2.92 and an EFAS result of 3.04. These results indicate that the company is in a pretty strong position to take advantage of the opportunities available. Therefore, the implementation of a more aggressive marketing strategy through the SO strategy is the main strategy choice, with the aim of optimizing market opportunities and encouraging a sustainable increase in sales volume.
Socio-Economic Factors That Influence Poverty Levels In Medan City, North Sumatra Province Rambe, Dhea Nita Syafina; Lubis, Irsad
Journal of Research in Social Science and Humanities Vol 5, No 4 (2025)
Publisher : Utan Kayu Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/jrssh.v5i4.509

Abstract

Poverty be one of size most important For know level welfare something House stairs. As something size aggregate, level poverty in a region is common used For measure level welfare in the region. With thus, poverty be one of matter main development economy. The size amount resident the potential create problem complex social, such as decline quality source Power humans, increasing level poverty, the emergence of inequality and jealousy social, disruption stability social politics, increasing number crime and its impacts others. If the condition the ongoing Keep going continuously, then in turn can hinder development the economy of Medan City so that make things difficult the realization of a dignified, prosperous and just Medan City. Variables in study This in the form of index development, growth economy, level wages, level unemployment become factor affecting level poverty. Processed data with Then use multiple linear regression. The data obtained processed from BPS with using SPSS software Version 23. Multiple linear regression results can seen that adjusted R Square figure of 0.612 which can called coefficient deep determination matter This meaning 61.2% of poverty in Medan City, can be obtained and explained by the HDI, GDP, wages and unemployment, while the remaining 38.8% is explained by other factors or variables outside the model that is not researched.
Public Private Partnership in The Development of Road Infrastructure in Lampung Province Utama, Realita; Yulianto, Yulianto; Hermawan, Dedy; Meutia, Intan Fitri
Journal of Research in Social Science and Humanities Vol 5, No 4 (2025)
Publisher : Utan Kayu Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/jrssh.v5i4.505

Abstract

This study aims to examine the implementation of the Public Private Partnership scheme in road infrastructure development in Lampung Province, specifically through the BERKIBAR (Together We Fix Damaged Roads) Program. The main focus is directed at analyzing the effectiveness of partnership governance involving the public and private sectors based on the principles of good governance, active stakeholder participation, ethical standards of implementation, and indicator-based performance measurement. This study uses a qualitative approach with a case study design. Data collection techniques include in-depth interviews, direct observation, and document analysis. The results show that the BERKIBAR program has made a positive contribution in accelerating road infrastructure development, but still faces various structural and administrative obstacles. Weaknesses are seen in delays in physical project progress, minimal community involvement, and discrepancies between reporting and field realization. In addition, the indicator-based evaluation system has not been implemented comprehensively and systematically. Practically, these findings demonstrate the importance of strengthening collaborative governance in Public Private Partnerships to improve the efficiency and accountability of infrastructure development. The academic contribution of this study lies in the development of a sustainable partnership model based on the principles of New Public Governance as a relevant approach in the context of regional development. 
The Role of Media Relations and Information Disclosure in the Positive Image of the South Tangerang Police Pradisya, Intany; Rahmawati, Yulia; Praptiningsih, Novi Andayani
Journal of Research in Social Science and Humanities Vol 5, No 4 (2025)
Publisher : Utan Kayu Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/jrssh.v5i4.492

Abstract

This study aims to discuss the role of media relations and information disclosure in building a positive image of the South Tangerang Police. In the digital age, police public relations are not only required to convey information, but also to manage public perception through communication strategies that are transparent, participatory, and adaptive to technology. Using a qualitative approach based on a literature review, this study analyzes the communication strategies of the South Tangerang Police Public Relations Department through the use of social media and partnerships with local media. The results show that the success of building a positive image of the police is determined by a combination of information transparency, the use of digital technology, the strengthening of media relations, and the strategic management of negative issues. However, challenges such as disinformation, trust deficits, and resource constraints remain obstacles that must be anticipated. Therefore, communication innovation, digital literacy, and continuous evaluation are important factors in strengthening the legitimacy and public trust in police institutions.
The Influence of Tiktok Live and Beauty Influencers on Maybelline Product Purchase Decisions Among College Students Andesta, Dian Hermalia; Septiani, Monica; Candra, Ade
Journal of Research in Social Science and Humanities Vol 5, No 4 (2025)
Publisher : Utan Kayu Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/jrssh.v5i4.460

Abstract

The purpose of this study is to determine the extent of the influence of TikTok Live and beauty influencers on the purchasing decisions of students in Bandar Lampung. The research method used is quantitative, with the sample size determined using purposive sampling as the sampling technique, resulting in 100 respondents. Data analysis techniques used validity tests, reliability tests, normality tests, multicollinearity tests, heteroscedasticity tests, multiple linear regression, T tests (partial), F tests (simultaneous), and R2 tests with the help of SPSS version 31 software. The results of this study show that, partially, the TikTok Live variable (X1) has a significant effect on purchasing decisions (Y), as evidenced by a t-value of 5.149 and a significance value of 0.001 0.05. The beauty influencer variable (X2) has a significant effect on purchasing decisions (Y), as evidenced by a t-value of 5.987 and a significance value of 0.001 0.05. The results of the F test (simultaneous) show that the TikTok Live (X1) and beauty influencer (X2) variables together have a significant effect on purchasing decisions (Y) with a percentage of 78.5%, while the remaining 21.5% is explained by other factors. These results prove that the integration of TikTok Live and beauty influencers creates an effective digital marketing strategy that encourages consumers to purchase Maybelline products.
The Influence of Compensation on Employee Performance through Work Motivation Chaidier, Syaiful Bachri; Suratman, Maman
Journal of Research in Social Science and Humanities Vol 5, No 4 (2025)
Publisher : Utan Kayu Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/jrssh.v5i4.520

Abstract

This study aims to empirically examine the effect of compensation on employee performance through work motivation among employees of Delima Asih Sisma Medika Hospital. The proposed hypotheses are: (1) there is a significant positive effect of compensation on employee performance; (2) there is a significant positive effect of compensation on work motivation; (3) there is a significant positive effect of work motivation on employee performance; and (4) compensation affects employee performance through work motivation. The research population consists of employees of Delima Asih Sisma Medika Hospital, with a total sample of 136 respondents selected using simple random sampling. Data collection employed Likert-scale instruments, namely the employee performance scale, the compensation scale, and the work motivation scale. Data were analyzed using SPSS with hypothesis testing conducted through PROCESS.The research results show that: (1) The description of the level of compensation perception of employees at Delima Hospital is Low; (2) The description of the level of employee performance at Delima Hospital is Very Low; (3) The description of the level of work motivation of employees at Delima Hospital is Very Low; (4) There is a significant positive effect of compensation on employee performance; (5) There is a significant positive effect of compensation on work motivation; (6) There is a significant positive effect of work motivation on employee performance; and (7) There is a significant effect of compensation on employee performance through work motivation.
The Effect Of Forensic Audit On The Fraud Prevention With Accountability As An Intervening Variable In Village Government In Langkat Regency Sitompul, Abdul Habib; Purba, Rahima Br
Journal of Research in Social Science and Humanities Vol 5, No 4 (2025)
Publisher : Utan Kayu Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/jrssh.v5i4.514

Abstract

This study aims to analyze the effect of forensic audits on preventing village fund corruption with accountability as an intervening variable in village governments in Langkat Regency. This study uses a quantitative approach with a survey method to 150 village government officials. SEM PLS-based path analysis is used to test the direct and indirect relationships between the research variables. The results show that forensic audits have a positive and significant effect on preventing village fund corruption, both directly and through the accountability variable as a mediator. This finding confirms that the effectiveness of forensic audits will be more optimal if followed by increased accountability of village officials in every stage of financial management. This study provides implications that local governments need to strengthen forensic audit capacity and encourage a culture of accountability to minimize the risk of village fund corruption.
Pricing System For Indonesia’s Freight Forwarding Industry: A Case Study Of PT Adhi Surya Amanah Rafiiola, Shofi; Mirzanti, Isti Raafaldini
Journal of Research in Social Science and Humanities Vol 5, No 4 (2025)
Publisher : Utan Kayu Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/jrssh.v5i4.497

Abstract

PT Adhi Surya Amanah (ASA Trans), a domestic B2B freight forwarding company in Indonesia, faces persistent inefficiencies in its pricing process that hinder operational speed, accuracy, and competitiveness. The company relies heavily on manual quotation preparation using fragmented information spread across spreadsheets, emails, and handwritten records. This results in inconsistent pricing decisions, long quote response times, and a heavy reliance on staff interpretation, limiting the company's ability to respond efficiently to customer demand in an increasingly competitive logistics environment. These inefficiencies pose both scientific and managerial challenges, as accurate and timely pricing is a key factor in determining profitability and market performance in freight forwarding. Therefore, this study aims to develop, test, and implement a data-driven price forecasting infrastructure that can increase efficiency, reduce human error, and improve strategic decision-making at ASA Trans. The research begins by identifying the root causes of inefficiency through a detailed assessment of ASA Trans’s operational workflow. This evaluation identified four key challenges: unstructured and fragmented pricing information, manual verification, lack of access to real-time cost and market data, and over-reliance on subjective judgment. All of these issues lead to decreased operational reliability and limit the company's ability to grow. To address these challenges, this paper proposes a forecasting model to be developed based on the premise that ASA Trans' historical records of freight, cost, and pricing information are sufficient to provide the operational trends necessary for accurate forecasting. The study also assumes that market factors such as fuel and toll prices are subject to specific, predictable trends. The objectives of this study include determining the data requirements for price prediction, comparing forecasting techniques, creating a practical prototype of a price forecasting system, and integrating the system into ASA Trans' workflow. To achieve these objectives, the researchers employed a multi-stage methodology. Primary data was collected using internal freight data, operational cost records, and historical prices, while secondary data was collected in the form of freight benchmarks and competitor rate cards. Analysis Phase: The machine learning process involved is structured and includes data cleaning, standardization, exploratory data analysis, model development, and validation. Supervised learning technology was applied to three models: Multiple Linear Regression, Random Forest, and LightGBM to determine which approach provided the most accurate and operational predictions. Model evaluation is conducted using MAE, RMSE, and MAPE, supported by business-oriented validation criteria that measure quotation speed, usability, and alignment with financial objectives. The findings indicated that the best model was the Random Forest model, which had the lowest error and the most consistent results across various shipping situations. The fact that this model can capture nonlinear relationships makes it a favorable solution for the multifaceted and cost-based structure found in the Indonesian domestic freight market. The implementation of the Random Forest model was realized in a web-based Price Forecasting System created at ASA Trans. The implementation phase transformed the model into a working tool that can input estimated shipping costs, estimated operational costs, and estimated lead times with minimal user input. Test results showed that bid completion time was reduced from several hours to minutes, indicating significant improvements in operational efficiency. The fact that this system improves consistency, reduces administrative workload, and enhances the accuracy of pricing decisions was confirmed by user feedback during the training and socialization phases. This system is also capable of providing structured and continuous cost details, which increases transparency and enhances customer trust. This research contributes to scientific knowledge by demonstrating the practical application of machine learning in pricing optimization for domestic freight forwarding. It also establishes an empirical foundation for integrating predictive analytics into pricing workflows in small to mid-scale logistics companies in emerging markets. In the case of ASA Trans, the forecasting system is a strategic move towards digitalization, which will have long-term advantages with better pricing management, uniform decision-making, and preparedness to undertake an automation initiative in the future, like a more comprehensive Transportation Management System (TMS).
The Crime Of Child Grooming As Digital Sexual Harassment In The Perspective Of Perpetrator Accountability According To Laws And Regulations In Indonesia Syavica, Zahrana; Sahlepi, Muhammad Arif; Rahmayanti, Rahmayanti
Journal of Research in Social Science and Humanities Vol 5, No 4 (2025)
Publisher : Utan Kayu Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/jrssh.v5i4.531

Abstract

The phenomenon  of child grooming that develops through digital media is a form of modern sexual violence that poses a serious threat to children as a vulnerable group. This practice is carried out by the perpetrator establishing communication, building closeness, and psychological manipulation of children for the purpose of sexual exploitation. This research aims to examine the criminal act of child grooming as a form of digital sexual violence and analyze the legal accountability of perpetrators according to laws and regulations in Indonesia. The research method used is normative juridical research with a legislative and conceptual approach. The results of the study show that the crime of child grooming has been regulated in Law Number 17 of 2016 concerning Child Protection and Law Number 12 of 2022 concerning the Crime of Sexual Violence. Both regulations affirm that perpetrators can be sentenced to criminal sanctions, either in the form of imprisonment or additional penalties, taking into account the aspect of child protection as a victim. Thus, the accountability of child grooming  perpetrators not only emphasizes on the criminal aspect, but also on the prevention and recovery of victims.
TRANSFORMATIONAL LEADERSHIP IN THE AUTOMOTIVE INDUSTRY CAN ADAPT DIGITAL TECHNOLOGY Putra, Meiyaldi Eka; Yulastri, Asmar; Yuliana, Yuliana
Journal of Research in Social Science and Humanities Vol 5, No 4 (2025)
Publisher : Utan Kayu Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/jrssh.v5i4.510

Abstract

This study explores transformational leadership in automotive companies' adaptation to digital technological changes. The automotive industry is facing transformation through automation, artificial intelligence (AI), the Internet of Things (IoT), and intelligent robotics-based production systems. The results show that visionary and communicative transformational leaders are able to accelerate technology adoption, minimize employee resistance, and build a culture of innovation. Key challenges include psychological resistance, limited digital literacy, technical barriers, and a lack of organizational cultural integration. Effective adaptation strategies include intensive training, technical mentoring, cross-divisional collaboration, and adjustments to operational policies. Transformational leadership plays a crucial role in aligning digital visions, enhancing human resource competencies, and creating an adaptive work environment for optimal digitalization acceptance. These findings emphasize that successful digital transformation is not solely about technology, but also about leadership quality and organizational culture.

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