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INTERNATIONAL JOURNAL OF SOCIETY REVIEWS (INJOSER)
Published by CV. Adiba Aisha Amira
ISSN : -     EISSN : 3030802X     DOI : -
Core Subject : Social,
Social Sciences
INTERNATIONAL JOURNAL OF SOCIETY REVIEWS (INJOSER) is a scientific journal that publishes articles in the fields of humanity, social science. Humanities include: Language and Linguistics, History, Literature, Performing Arts, Philosophy, Religion, Fine Arts. Social Science fields of Science include: Economics, politics, Anthropology, Sociology, Psychology, Geography, Cultural and Ethical Studies, Gender and Sexuality Studies, Area Studies, Archeology, and other related fields.
Arjuna Subject : Ilmu Sosial - Ilmu Sosial (Lain-Lain)
Articles 14 Documents
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Search results for , issue "Vol. 2 No. 12 (2024): DECEMBER" : 14 Documents clear
ANALYSIS OF THE IMPACT OF ORGANIZATIONAL CULTURE AND ORGANIZATIONAL COMMITMENT IN IMPROVING JOB SATISFACTION IN MSMEs Muh. Husriadi; Fari Aus; Nada Kusuma; Citra Ayu Ningsih
INTERNATIONAL JOURNAL OF SOCIETY REVIEWS Vol. 2 No. 12 (2024): DECEMBER
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Inclusive, collaborative and transparent organizational culture has a vital role in improving performance employees at Micro, Small, and Medium Enterprises (MSMEs) in Kendari City. Although thus, the implementation of this culture is still meet obstacles in creating an optimal work environment. This study aims to identify characteristics of organizational culture that influence performance employees in MSMEs Kendari City. With qualitative research methods, data was obtained through interview in-depth with employees and MSMEs owners. The results of the study show that an inclusive, collaborative and transparent organizational culture has a positive impact on performance. employee past improvement involvement, synergy team, and trust. Core values such as integrity, innovation, and service customer participate plays an important role in strengthening the foundation of organizational culture as well increase productivity employees. These finding underlines importance implementation of a supportive organizational culture as a sustainable strategy for performance in MSMEs
MARKETING COMMUNICATION STRATEGY, ORGANIZATIONAL CULTURE, INNOVATIVE INDIVIDUAL CHARACTERISTICS AND ORGANIZATIONAL COMMITMENT IN IMPROVING SMALL AND MEDIUM ENTERPRISE PERFORMANCE Muh. Husriadi; Fari Aus; Nada Kusuma; Amos
INTERNATIONAL JOURNAL OF SOCIETY REVIEWS Vol. 2 No. 12 (2024): DECEMBER
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This research focuses on communication strategies marketing, organizational culture, character individual innovative, and organizational commitment to improving performance of MSMEs in Kendari City, which is facing challenge competition and digitalization. This study aims to analyze influence these factors on the performance of MSMEs in general holistic. A qualitative approach was used with interviews in-depth study of MSME actors as a technique data collection. The results of the study showed that the marketing strategy digital- based, organizational culture that supports innovation, character individual innovative, and organizational commitment to contribute in a way significant in increasing performance of MSMEs. In addition, the application of digital technology in marketing strategies and new product development strengthens the competitiveness of MSMEs in the market. This study contributes empirically related to the importance of integration these factors are to support the sustainability of MSME businesses, as well as recommend strengthening policies that support digitalization and innovation in the MSME sector.
ENHANCING COMPUTER EDUCATION FOR SUSTAINABLE INNOVATION IN HIGHER EDUCATION IN ANAMBRA STATE, NIGERIA Iguocha Arinze Christian
INTERNATIONAL JOURNAL OF SOCIETY REVIEWS Vol. 2 No. 12 (2024): DECEMBER
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Computer education in higher education fosters sustainable innovation by equipping students with digital skills for problem-solving, creativity, and technological advancement. The research focuses on evaluating the effectiveness of curriculum redesign, incorporating emerging technologies like Artificial Intelligence (AI) and Data Science, and fostering practical skills essential for innovation. This study adopted a descriptive survey research design. The population for the study comprised students, lecturers, and administrative staff from higher education institutions in Anambra State. A total sample size of 130 participants was selected using stratified random sampling to ensure representation from all key groups. To gather data, a structured questionnaire was used. Inferential analysis, specifically ANOVA, was conducted to identify and evaluate differences in perceptions among various demographic groups. In the post hoc multiple comparisons, the Scheffe and Tamhane tests were applied to evaluate significant differences between age groups regarding their perceptions. Findings indicate that the redesign of computer education curricula significantly impacts students' innovation capacity, with varying effects across different age groups. The study highlights the need for curriculum integration of hands-on, project-based learning, industry collaborations, and reliable technological infrastructure to foster an innovation-driven educational environment. The results suggest that a more inclusive and forward-thinking approach to computer education can greatly enhance sustainable innovation in Anambra's higher education institutions. Based on these findings, recommendations for curriculum reforms and educational policies are presented to better align computer education with the evolving demands of the digital economy.
EXPLORATION OF GREEN ENVIRONMENTAL PRO-BEHAVIOR OF FISIP STUDENTS, UNIVERSITY OF LAMPUNG Nina Yudha Aryanti; Astiwi Inayah; Rahayu Lestari
INTERNATIONAL JOURNAL OF SOCIETY REVIEWS Vol. 2 No. 12 (2024): DECEMBER
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Complex environmental problems due to global warming are problems that have a negative impact on human life. One of the preventive efforts that can be done is by inviting universities to reduce the impact of global warming through the implementation of green metric programs on campus. This study aims to determine and analyze how much the tendency of FISIP University of Lampung students' behavior is in behaving environmentally friendly. This study uses a quantitative descriptive method. The respondents of this study were FISIP University of Lampung (Unila) students. The instruments and data analysis used pro-environmental theory and UI Greenmetric guidelines. The results of the study showed that the average student response to green environmental behavior in FISIP Unila students was 6 green metric indicators: Setting & Infrastructure (71.46%), Energy and Climate Change (65.03%), Waste (71.70%), Water (70.35), Transportation (70.56%), and Education/daily activities on campus related to the green environment (40.38%).
OPTIMIZING EMPLOYEE PERFORMANCE: THE IMPACT OF TRAINING AND DEVELOPMENT, WORK-LIFE BALANCE, AND WORKPLACE HAPPINESS Rini Juni Astuti; Fika Amanda Febrianti
INTERNATIONAL JOURNAL OF SOCIETY REVIEWS Vol. 2 No. 12 (2024): DECEMBER
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Human resources are important and primary in every company because if the company experiences an increase, it is based on competent human resources. Strategic human resource management (HRM) must allow adaptation of HRM practices, namely knowledge and behavior in employees based on organizational needs. In this study, there is a phenomenon in which employees work suboptimally and feel unable to complete their performance, which results in decreased performance. In addition, the results of inconsistencies in previous studies examined employee performance. Thus, this study contributes to analyzing the influence of training and development, work-life balance, and happiness at work on employee performance. Multiple linear regression analysis was used to test the proposed hypothesis. The number of data used was 130 employees in peanut manufacturing in Pati, Central Java, Indonesia. The findings show that employee performance is affected by training and development, work-life balance, and happiness at work. Employees feel that these programs help improve their performance and increase their satisfaction, pride, and motivation to work more effectively. Therefore, organizations must continue to strengthen these programs to improve employee performance.
The Role of COVID-19 and CSR Disclosure in Weakening Corporate Value Adinda Nurul Auliya; Reschiwati Reschiwati; Aang Syahdina
INTERNATIONAL JOURNAL OF SOCIETY REVIEWS Vol. 2 No. 12 (2024): DECEMBER
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This study aims to analyze Profitability (ROE), Company Size (SIZE) and Dividend Policy (DPR) on Company Value (PER), the role of Covid-19 (C-19) and CSR Disclosure (CSR) in weakening and strengthening Profitability (ROE), Company Size (SIZE) and Dividend Policy (DPR) on Company Value (PER). The population of this study is consumer goods companies listed on the Indonesia Stock Exchange (IDX) during the period 2014-2023. The sample of this study using the purposive sampling method obtained 11 consumer goods companies listed on the Indonesia Stock Exchange (IDX) during the period 2014-2023, resulting in a total of 110 observation data. The data analysis method uses Eviews12. The findings of the study indicate that ROE has a negative impact, while SIZE and DPR have no effect on PER. C-19 strengthens the relationship between ROE and PER, but does not moderate the effect of SIZE and DPR on PER. CSR actually weakens the relationship between ROE and PER and does not moderate the effect of SIZE and DPR on PER. The novelty of this research is that it uses a 10-year period to examine company value.
THE INFLUENCE OF COUNTRY OF ORIGIN ON PURCHASE DECISIONS THROUGH PRICE AS A MEDIATING VARIABLE IN XIAOMI PRODUCTS Nurul Fadilah Aswar
INTERNATIONAL JOURNAL OF SOCIETY REVIEWS Vol. 2 No. 12 (2024): DECEMBER
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This study aims to analyze the influence of Country of Origin (COO) on Price and Purchase Decisions, both directly and indirectly, with Price as a mediating variable, focusing on Xiaomi products. The findings reveal that consumer perceptions of a product's country of origin significantly influence their evaluation of price. However, perceptions of the country of origin do not directly impact purchase decisions, as consumers prioritize product quality and features. Price emerges as the primary determinant of purchase decisions, with competitive pricing aligned with quality driving consumer purchases. Additionally, perceptions of the country of origin indirectly influence purchase decisions through price. This research provides strategic insights for Xiaomi to manage brand image, optimize pricing strategies, and enhance competitiveness in the global market.
EVOLUTION OF ARTIFICIAL INTELLIGENCE TECHNOLOGY IN MODERN COMPUTING: AN ANALYSIS OF RECENT RESEARCH Agus Fawait; Al-Amin
INTERNATIONAL JOURNAL OF SOCIETY REVIEWS Vol. 2 No. 12 (2024): DECEMBER
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This research explores the evolution of artificial intelligence (AI) technology in the context of modern computing, focusing on analysing a range of recent research. AI has undergone significant development, with key advances in machine learning, deep learning, and natural language processing that have increased its analytical and computational capacity. The review notes how AI has been widely adopted in various industries, including healthcare, automotive, finance, and manufacturing, bringing significant improvements in productivity and decision-making. However, the research also highlighted emerging challenges, such as ethical issues, data privacy, and algorithmic biases, that need serious attention. In conclusion, while AI in modern computing shows promising progress, continuous research and innovation are needed to overcome these challenges to realise AI's full potential.
APPLICATION OF MACHINE LEARNING IN COMPUTING: CASE STUDIES AND CHALLENGES Nukman Nukman; Al-Amin
INTERNATIONAL JOURNAL OF SOCIETY REVIEWS Vol. 2 No. 12 (2024): DECEMBER
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The application of machine learning in computing has become one of the most significant developments in modern technology. This study examines a range of use cases from various sectors, including healthcare, finance and transport, which demonstrate how machine learning can improve the efficiency, accuracy and capabilities of computer systems. Through case study analysis, it is shown that machine learning is capable of automating complex tasks and providing deep insights. However, the implementation of this technology also faces a number of challenges, such as the need for high-quality data, model interpretability issues, and high computational costs. Furthermore, there are ethical and legal issues to be considered, especially in relation to privacy and potential bias in the models. This research highlights the importance of a careful approach and appropriate strategies to overcome these barriers, in order to fully utilise the potential of machine learning while minimising the risks involved.
AI ALGORITHMS AND MACHINE LEARNING FOR BIG DATA PROCESSING: TRENDS AND PROGRESS Loso Judijanto
INTERNATIONAL JOURNAL OF SOCIETY REVIEWS Vol. 2 No. 12 (2024): DECEMBER
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AI and machine learning algorithms play an important role in big data processing, a field that is constantly evolving and innovating. The application of these technologies enables the analysis of huge volumes of data, increasing the ability to discover complex patterns and generate insights that were previously hard to reach. Current trends focus on the adoption of more automated and efficient solutions such as AutoML, as well as improvements in tools and frameworks that facilitate integration on a broader level. While challenges such as interpretability and transparency remain, developments in explainable AI seek to address them. All of these advancements demonstrate the huge potential of AI and machine learning in transforming big data processing, providing significant benefits to various industry sectors through faster and more effective decision-making.

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