Abstract:Digital transformation at Islamic Rural Banks demands governance that is accountable, secure, and aligned with sharia principles. This study aims to map digital governance practices and formulate prerequisites for safe,…
compliant, and value-oriented implementation. Using a qualitative phenomenological approach and adopting an active participatory method, data were collected through in-depth interviews, document reviews, and observations with purposive sampling (management, DPS, IT/cybersecurity units, and customers). The analysis refers to the Miles & Huberman model (data reduction–data presentation–conclusion drawing); validity is maintained through source triangulation, member checking, and audit trails. The findings consolidate five key domains: (1) the role of DPS in digital decisions and ongoing supervision, (2) human resource capabilities and risk culture, (3) IT & cybersecurity architecture (data protection, incident response, business continuity), (4) risk management–compliance (synchronization of OJK–DSN–MUI guidelines), and (5) digital customer literacy and experience. The theoretical contribution integrates the Institutional, Accountability, and TAM/UTAUT perspectives to explain the drivers and barriers to adoption. Practically, a risk-based digital governance roadmap is developed that prioritizes cybersecurity governance, strengthening the role of the DPS through digital oversight, and data governance policies.
Abstract:This study investigates the influence of artificial intelligence (AI) integration on strategic financial management in large corporations. Focusing on a sample of 20 Fortune 500 companies from diverse industries, the research…
earch employs a quantitative, descriptive-analytical approach utilizing secondary data from financial reports and AI system logs. The findings reveal that AI adoption significantly enhances forecasting accuracy, risk identification, and operational efficiency, while also enabling financial managers to redirect resources toward creative and strategic initiatives. However, the study also identifies challenges related to data quality, ethical considerations, and skill gaps in AI utilization. The results highlight the importance of a balanced approach that combines AI-driven insights with managerial intuition to maximize value creation in the digital age.
Abstract:Education is an important aspect of human life that relies heavily on the role of teachers as the main factor in the success of the educational process. Professional teachers are formed through careful preparation from an…
n early age, one of which is through an education study program in college. Economics education students are specifically prepared to become economics teachers in the future. Their readiness is influenced by the mastery of knowledge in their field of study and teaching experience through direct practice. This study aims to determine the effect of economic literacy on the readiness of students to become teachers. The analysis method used is linear regression. Quantitative approach using SPSS with 86 respondents. The results showed that economic literacy has a significant effect on readiness to become a teacher.
Abstract:This study investigates the impact of job preferences on self-perceived employability (SPE) among university graduates in Bandung, Indonesia. Unemployment in Indonesia, particularly among fresh graduates, has highlighted…
structural issues in the labor market, including skill mismatches and insufficient job creation. Job preferences, including factors such as salary, work-life balance, and career development, are crucial in determining an individual’s ability to secure desirable employment. This research, based on a sample of 280 graduates from various universities, reveals that well-defined and realistic job preferences positively influence SPE. The analysis shows a significant and strong relationship between job preferences and employability, with a high path coefficient (0.986) and a T-statistics value far exceeding the significance threshold. The results highlight the importance of aligning personal career goals with market demands, enhancing individuals’ self-confidence in their employability. Educational institutions also play a key role in shaping job preferences and employability by providing skills that match labor market needs. The study underscores the need for better integration between education and industry to improve graduates’ market readiness. Universities in Bandung should integrate skill training aligned with labor market demands, career guidance, industry trend seminars, and job search strategies to ensure graduates possess relevant preferences and skills for the workforce. This study employed the Structural Equation Modeling-Partial Least Squares (SEM-PLS) method to analyze the factors influencing graduate employability preferences. As a recommendation, higher education institutions and policymakers should emphasize industry collaboration and adopt policies that enhance graduates’ readiness for the evolving job market.
Abstract:This study examines employees' perceptions of work-life balance implementation in a hybrid work environment, a model that has gained popularity in the post-COVID-19 era. Hybrid work arrangements offer flexibility by allowing…
wing employees to alternate between remote and office-based work, providing opportunities to balance professional and personal responsibilities. However, the blurred boundaries between work and personal life in a hybrid setting can create challenges, such as overworking, interruptions during personal time, and social isolation. Using a qualitative approach, this study explores the experiences, challenges, and factors influencing work-life balance in hybrid work environments. Data were collected through semi-structured interviews and focus group discussions with employees from various sectors. The findings reveal that while hybrid work promotes flexibility and autonomy, it also increases the risk of stress and burnout due to a lack of clear boundaries and insufficient organizational support. Factors such as flexible scheduling, supportive leadership, and access to user-friendly digital tools were identified as enablers of work-life balance. This research highlights the dual impact of hybrid work on work-life balance and emphasizes the need for clear organizational policies, leadership training, and technological support to ensure employee well-being. The findings provide actionable recommendations for organizations to optimize hybrid work practices.
Abstract:Research Aims: The development of sustainable cultural tourism is influenced by several factors, namely the promotion strategy and the distinctiveness of a tourist destination. This research aims to identify and test aspects…
ects of promotion strategy and distinctiveness in the analysis of sustainable cultural tourism development in Mamasa Regency through aspects of promotion strategy and distinctiveness.
Design/methodology/approach: This research tends to have a qualitative approach and uses an in-depth interview method with an interview guide. This research utilizes Nvivo 14 as the software employed for data analysis, validity testing, and drawing research conclusions. Additionally, to measure validity in this study, triangulation techniques were used.
Research Findings: The results of this research show that the development of sustainable cultural tourism in Mamasa Regency requires a careful approach to promoting and utilizing cultural uniqueness. With an effective and sustainable promotional strategy, and using cultural uniqueness as the main attraction, Mamasa Regency can position itself as a superior and attractive cultural tourism destination.
Theoretical Contribution/Originality: This research seeks to identify what is needed for planning in organizing and managing the tourism sector to provide maximum contribution to the Mamasa region. Therefore, two aspects are examined: promotion strategies and distinctiveness in the development of cultural tourism.
Abstract:The issue of environmental sustainability for the UMKM sector is new considering that the emphasis on green accounting practices has focused on large companies that are listed as publicly listed companies. In the context…
of sustainable business practices, policies that specifically promote the implementation of green accounting among UMKM are still limited. The purpose of this study is to identify and examine the determinants of behavioural aspects in encouraging awareness of UMKM green accounting practices in West Sulawesi from the perspective of spirituality and Kalindaqdaq Mandar culture. The research method used in this research is a mix method with a concurrent model to analyse quantitatively and qualitatively simultaneously. The quantitative method with the Partial Least Square (PLS) approach was conducted to test the Theory of Planned Behaviour (TPB) in green accounting practices. The results of this study indicate that UMKM players in West Sulawesi have not yet carried out green accounting practices but in general they already have the intention to practice green accounting. Another finding is that government policies can encourage green accounting practices so that the government needs to pay attention to the importance of regulations governing the obligation of UMKM players to carry out green accounting practices, awareness of green accounting practices that are early owned by UMKM can encourage the practice of awareness of green accounting practices in the future
Abstract:This research is to determine the level of investment risk and stock returns as well as grouping efficient shares and inefficient shares of coal mining companies through the Capital Asset Pricing Model (CAPM) method for…
the 2019-2021 period. The research method used is descriptive method with a quantitative approach, while the data analysis method uses the Capital Asset Pricing Model (CAPM) method. The results showed that there were 8 shares of coal mining companies with a beta (systematic risk) value of greater than 1 (β > 1), and 16 shares of companies with a beta of less than 1 (β < 1. The highest RI was found in HRUM shares with a rate of return of 0.07650 or 7.65%, while the lowest Ri is found in BOSS shares with an average rate of return of -0.06000 or - 6%. The highest E(Ri) value is found in DOID shares with a value of 0.00177 or 0.18%, while the lowest E(Ri) is found in GEMS companies with a value of 0.00126 or 0.13%. There are 16 shares of coal mining companies which are classified as efficient shares consisting of shares of ADRO, BSSR, BYAN, DOID, DSSA, FIRE, GEMS, iHRUM, INDY, iITMG, MBAP, MYOH, iPTRO, SMMT, iTOBA, and BRMS, as well as 8 inefficient stocks namely ARII, BOSS, BUMI, DEWA, GTBO, KKGI, PTBA, and SMRU.
Abstract:Perkembangan pesat teknologi Artificial Intelligence (AI) telah mengubah lanskap pendidikan tinggi secara signifikan, terutama dengan hadirnya tutor virtual berbasis AI yang mampu memberikan umpan balik cepat, tepat, dan…
personal. Analisis Real merupakan salah satu mata kuliah yang paling menantang dalam program pendidikan matematika karena sifat abstraknya sering menyebabkan rendahnya self-efficacy mahasiswa. Penelitian ini bertujuan menganalisis pengaruh pemanfaatan AI sebagai tutor virtual terhadap self-efficacy mahasiswa Pendidikan Matematika Universitas Asahan yang menempuh mata kuliah Analisis Real. Penelitian menggunakan pendekatan kuantitatif dengan desain quasi-experimental one-group pretest-posttest, melibatkan 15 mahasiswa yang dipilih melalui purposive sampling. Instrumen angket self-efficacy dikembangkan berdasarkan tiga dimensi Bandura (magnitude, strength, generality), divalidasi melalui expert judgment dengan Cronbach’s Alpha sebesar 0,84. Hasil analisis deskriptif menunjukkan peningkatan rata-rata skor self-efficacy dari 65,67 (pre-test, kategori sedang) menjadi 79,93 (post-test, kategori tinggi), dengan peningkatan sebesar 21,7%. Uji Wilcoxon Signed-Rank Test menghasilkan nilai Z = −3,408 dengan p-value = 0,001 (p < 0,05), yang mengkonfirmasi terdapat perbedaan signifikan self-efficacy mahasiswa sebelum dan sesudah intervensi enam minggu menggunakan AI tutor virtual.
The rapid development of Artificial Intelligence (AI) technology has significantly transformed higher education, particularly through AI-based virtual tutors capable of providing fast, precise, and personalized feedback. Real Analysis, one of the most challenging mathematics education courses, frequently causes low self-efficacy among students due to its abstract nature and demands for formal proof-writing. This study examines the effect of utilizing AI as a virtual tutor on self-efficacy of mathematics education students at Universitas Asahan. A quantitative quasi-experimental one-group pretest-posttest design was employed with 15 students selected via purposive sampling. The self-efficacy questionnaire was based on Bandura’s three dimensions: magnitude, strength, and generality, validated by expert judgment with Cronbach’s Alpha coefficient of 0.84. Descriptive analysis results showed an increase in mean self-efficacy scores from 65.67 (pre-test, moderate category) to 79.93 (post-test, high category), representing a 21.7% improvement. The Wilcoxon Signed-Rank Test yielded Z = −3.408 with p-value = 0.001 (p < 0.05), confirming a significant difference in student self-efficacy before and after the six-week AI virtual tutor intervention.
Abstract:Komisi Informasi Provinsi Jambi masih menggunakan proses pendaftaran sengketa informasi publik secara manual sehingga menyebabkan keterlambatan pelayanan, risiko kehilangan berkas, dan kesulitan dalam pengelolaan data. Penelitian…
enelitian ini bertujuan merancang Sistem Informasi Pendaftaran Sengketa Informasi Berbasis Website untuk mempermudah masyarakat dalam mengajukan permohonan sengketa secara daring. Metode pengembangan yang digunakan adalah Waterfall yang meliputi analisis kebutuhan, perancangan, implementasi, dan pengujian. Sistem dirancang menggunakan PHP, MySQL, dan pemodelan UML. Hasil penelitian menunjukkan bahwa sistem mampu mempermudah proses pendaftaran, pengelolaan data, serta pemantauan status permohonan secara lebih efektif dan efisien.
The Information Commission of Jambi Province still uses a manual public information dispute registration process, resulting in service delays, risk of document loss, and difficulties in data management. This study aims to design a web-based information dispute registration system to facilitate online application submissions. The system was developed using the Waterfall method, which includes requirements analysis, design, implementation, and testing stages. The application was designed using PHP, MySQL, and UML modeling. The results show that the system simplifies the registration process, data management, and application status monitoring more effectively and efficiently.