Ranah Research : Journal of Multidisciplinary Research and Development
Ranah Research : Journal of Multidisciplinary Research and Development adalah jurnal multidisiplin ilmiah yang diterbitkan oleh inasti Research di bawah naungan Yayasan Dharma Indonesia Tercinta (DINASTI). Perbitan jurnal ini 4 kali dalam setahun yaitu November, Februari, Mei, dan Agustus. Ruang lingkup dan fokus terkait dengan penelitian dengan pendekatan Multidisipliner, yang meliputi: Ilmu Manajemen, Manajemen SDM, Manajemen Pemasaran & Manajemen Keungan, Ilmu Ekonomi, dan Akuntansi, Ilmu Komputer, Teknologi Informasi Teknik Informatika & Manajemen Informatika, Perdagangan, Manajemen Perhotelan, Pariwisata, Perjalanan, Seni & Budaya, Manjemen Pendidikan, Pendidikan Dasar, Pendidikan Islam & Pendidikan Olahraga, Ilmu Politik, Ilmu Hukum & Ilmu Sosial, Administrasi public & Administrai Pemerintahan, Ilmu Olah Raga, Sejarah & Humaniora, Sosiologi, Psikologi, Ilmu Kesehatan, Kedoteran & Kebidanan, Media & Komunikasi, Ilmu Lingkungan, Ilmu Perpustakaan, Ilmu Pertanian, Perbankan, Manajemen proyek, Manajemen Portofolio, Analisis Keamanan, Kewiraswastaan & Manajemen Retail, Manajemen Tranportasi, Logistik & Expesdidi, Medis, Kesehatan, Kedokteran, Bilogi, Fisika, Kimia, Agoronomi & Pertambangan, dan Teknik Mesin, Teknik Industi & Teknik Perkapalan.
Articles
1,295 Documents
<![CDATA[A Socio-Technical Model of Knowledge Sharing and Discovery in Social Fitness Apps among Indonesian Users: A PLS-SEM Approach ]]>
<![CDATA[Tijani Putri Shabrina]]>;
<![CDATA[Abdurrohhim Syahruromadhon]]>;
<![CDATA[Dana Indra Sensuse]]>;
<![CDATA[Sofian Lusa]]>;
<![CDATA[Novi Sofia Fitriasari]]>;
<![CDATA[Icha Mailinda]]>
<![CDATA[ Ranah Research : Journal of Multidisciplinary Research and Development Vol. 8 No. 3 (2026): Ranah Research : Journal Of Multidisciplinary Research and Development ]]>
Publisher : <![CDATA[Dinasti Research ]]>
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DOI: 10.38035/rrj.v8i3.2094
<![CDATA[Social fitness applications such as Strava, Nike Run Club, and Garmin Connect have turned exercise tracking into a community-based activity where users exchange tips, experiences, and performance data. However, little is known about what drives users to share and discover knowledge on these platforms. This study proposes and tests a socio-technical model that explains knowledge sharing and discovery behaviour in social fitness apps. The model integrates Social Capital Theory, the Technology Acceptance Model, and the Theory of Planned Behavior. Data was collected from 57 active users of social fitness applications and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that perceived usefulness, structural social capital, and perceived behavioural control significantly influence users’ intentions, while attitude and cognitive social capital do not play a major role. Intention, in turn, strongly predicts actual knowledge sharing and discovery behaviour. These findings suggest that knowledge-related actions in social fitness communities are driven mainly by functional benefits, connectedness within the community, and users’ sense of capability, rather than by evaluative attitudes alone. The study offers a clearer view of how socio-technical factors work together in digital fitness ecosystems and provides a basis for future research on knowledge behaviour in online communities]]>
<![CDATA[Tinjauan Siyasah Idariyah tentang Potensi Sistem Big Data dalam Menguatkan Akuntabilitas Pengelolaan Zakat di Badan Amil Zakat Nasional Provinsi Jawa Barat ]]>
<![CDATA[Alvika Jienni Mulia Pangestuti]]>;
<![CDATA[Beni Ahmad Saebani]]>;
<![CDATA[Yana Sutiana]]>
<![CDATA[ Ranah Research : Journal of Multidisciplinary Research and Development Vol. 8 No. 4 (2026): Ranah Research : Journal Of Multidisciplinary Research and Development ]]>
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DOI: 10.38035/rrj.v8i4.2097
<![CDATA[A Big Data system involves the management of large-scale data that is integrated with diverse data types and continues to grow by the minute. This system serves as a foundation for decision-making and helps minimize human error. This study aims to analyze the potential of Big Data in Zakat Management at BAZNAS West Java Province to determine whether it adheres to the principles of good public governance according to Siyasah Idariyah or not. Using an empirical legal method, data was collected through interviews and observations with department heads and staff. The findings indicate that BAZNAS West Java has a strong legal foundation; however, the current digital system is not yet optimal for data processing due to integration challenges, technological capacity limitations, and data quality issues that require improvement. From a Siyasah Idariyah perspective, zakat management at BAZNAS West Java already meets the principles of amanah, ‘adalah, and mas’uliyyah regarding information transparency. This study concludes that there is a need to strengthen technological infrastructure, enhance human resource expertise in data analysis and engineering, and adapt policies regarding digital data governance.]]>
<![CDATA[Digital Transformation and Service Performance: Managing Public Feedback Systems in Public Sector Organizations ]]>
<![CDATA[I Made Panji Ananda Pahlawan]]>;
<![CDATA[I Nyoman Subanda]]>
<![CDATA[ Ranah Research : Journal of Multidisciplinary Research and Development Vol. 8 No. 4 (2026): Ranah Research : Journal Of Multidisciplinary Research and Development ]]>
Publisher : <![CDATA[Dinasti Research ]]>
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DOI: 10.38035/rrj.v8i4.2099
<![CDATA[This study examines the mechanism of public aspiration delivery through the e-Audiensi system and its implications for public participation and legislative performance transparency at the Secretariat of the Regional House of Representatives of Bali Province. The study is motivated by the need to transform conventional aspiration channels, which were considered less efficient and less accessible, into a more effective and transparent digital system. This research employed a qualitative approach with a descriptive case study design. Data were collected through observation, in-depth interviews with internal and external informants, documentation, and literature review. The data were analyzed using qualitative techniques, including data reduction, data presentation, and conclusion drawing, supported by source and method triangulation. The findings reveal that the e-Audiensi system has improved the efficiency of administrative processes and expanded public participation by enabling online submission of aspirations. Compared to the conventional system, the mechanism is more structured, documented, and easier to manage. The number of aspirations submitted through e-Audiensi increased significantly in 2025, indicating growing public adaptation to the digital system. In terms of legislative performance, the system enhances accountability through digital documentation and follow-up actions. Responsiveness is also supported through notification features, although response times remain inconsistent. However, transparency is still limited because the system only covers submission, verification, and scheduling stages without providing real-time tracking or publication of hearing outcomes. Overall, the e-Audiensi system contributes positively to efficiency, effectiveness, and accountability, although further development is needed to strengthen transparency, responsiveness, and broader public accessibility.]]>
<![CDATA[Evaluasi Fenotipe dan Pendugaan Parameter Genetik Beberapa Galur Jagung Pakan (Zea Mays L.) ]]>
<![CDATA[Naufal Ardiansyah]]>;
<![CDATA[Aptika Hana Prastiwi Nareswari]]>;
<![CDATA[Edy Kustiani]]>;
<![CDATA[Junaidi Junaidi]]>
<![CDATA[ Ranah Research : Journal of Multidisciplinary Research and Development Vol. 8 No. 4 (2026): Ranah Research : Journal Of Multidisciplinary Research and Development ]]>
Publisher : <![CDATA[Dinasti Research ]]>
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DOI: 10.38035/rrj.v8i4.2103
<![CDATA[The advancement of plant breeding technology continues to accelerate, with the selection of parental lines becoming a pivotal component of precision breeding. This study aims to evaluate the phenotypic diversity and genetic parameters of 20 feed maize lines across two distinct environments. The research was conducted at two locations with varying altitudes: Location 1 (50 m asl) and Location 2 (600 m asl), utilizing a Randomized Complete Block Design (RCBD) with two replications per site. Parameters observed encompassed both quantitative and qualitative traits. Data were subjected to Analysis of Variance (ANOVA), followed by cluster analysis using the Unweighted Pair Group Method with Arithmetic Mean (UPGMA) to determine the phylogenetic distances between lines. The results revealed significant differences (p < 0.05) across all quantitative characters, with Variety 9 demonstrating superior performance in the majority of parameters. Cluster analysis categorized the genotypes into several groups with a minimum genetic distance of 1.732, indicating their potential utility in the development of superior hybrid varieties.]]>
<![CDATA[Trends, Frameworks, and Reference Models in Public Sector Enterprise Architecture: A Systematic Review ]]>
<![CDATA[Amanda Ghaisani]]>;
<![CDATA[Dencaswo Purnomo]]>;
<![CDATA[Dana Indra Sensuse]]>;
<![CDATA[Sofian Lusa]]>;
<![CDATA[Nurcholis Ramlan]]>
<![CDATA[ Ranah Research : Journal of Multidisciplinary Research and Development Vol. 8 No. 4 (2026): Ranah Research : Journal Of Multidisciplinary Research and Development ]]>
Publisher : <![CDATA[Dinasti Research ]]>
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DOI: 10.38035/rrj.v8i4.2105
<![CDATA[Global Trends and Reference Models in Public Sector Enterprise Architecture: A Systematic Review” examines enterprise architecture implementation in the public sector across countries. Enterprise architecture is increasingly used as a strategic instrument to support digital transformation and interoperability, yet existing studies remain fragmented and lack cross-country synthesis. This study aims to identify global trends, reference models, best practices, and challenges in public sector enterprise architecture implementation. The method used is a systematic literature review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses protocol, analyzing 23 peer-reviewed studies published between 2020 and 2025. The results show that The Open Group Architecture Framework (TOGAF) is the most frequently adopted framework and often becomes the basis for localized national models. This study identifies 15 reference models classified into national-level, domain-specific, regional government, and organizational agile models. Successful implementation is influenced by government commitment, inter-agency collaboration, and alignment with digital transformation strategies. The study concludes that enterprise architecture plays both strategic and technical roles in strengthening public governance. For public sector policymakers, the findings indicate that EA initiatives should be supported by clear governance mandates, cross-agency coordination mechanisms, and contextual adaptation of global frameworks to national priorities and institutional capacity.]]>
<![CDATA[Pengaruh Keberadaan Material Butir Pasir terhadap Sifat Mekanik Timbunan pada Studi Kasus Disposal Pit SJS PT Bukit Asam (Persero) Tbk Unit Pertambangan Tanjung Enim ]]>
<![CDATA[Muhammad Qistan Hafits]]>;
<![CDATA[Eddy Ibrahim]]>;
<![CDATA[Taufik Toha]]>
<![CDATA[ Ranah Research : Journal of Multidisciplinary Research and Development Vol. 8 No. 3 (2026): Ranah Research : Journal Of Multidisciplinary Research and Development ]]>
Publisher : <![CDATA[Dinasti Research ]]>
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DOI: 10.38035/rrj.v8i3.2109
<![CDATA[Embankment slope stability is a critical challenge in open-pit coal mining operations, particularly within the Tanjung Enim Mining Unit (UPTE) of PT Bukit Asam Tbk. This study investigates the influence of varying clay and sand compositions on the physical and mechanical properties of embankment geomaterials to determine the optimal configuration for operational stability. An experimental research design was conducted using material samples from Pit SJS, involving five composition variations: 100% clay; 75% clay – 25% sand; 50% clay – 50% sand; 25% clay – 75% sand; and 100% sand. Geotechnical parameters were evaluated through Standard Proctor compaction tests and Direct Shear tests to determine maximum dry density, optimum moisture content, bearing capacity, cohesion, and internal friction angle. The results demonstrate that both maximum dry density and bearing capacity exhibit an increasing trend as sand content rises, reaching peak values at the 50% clay – 50% sand composition before declining at higher sand ratios. Conversely, optimum moisture content significantly decreases as sand content increases. Shear strength analysis reveals that cohesion reaches its maximum at the 50/50 ratio, while pure sand (100% sand) exhibits significant "apparent cohesion" due to the interlocking effect of sand grains, which enhances shear resistance despite the material's non-cohesive theoretical nature. Slope stability simulations indicate that the 50% clay – 50% sand mixture provides the most superior mechanical performance for structured benching, ensuring a Safety Factor (SF) 1.35. This study concludes that an equal balance of clay and sand optimizes stability by combining cohesive bonding with high bearing capacity and grain interlocking.]]>
<![CDATA[Data Governance Practices for Risk Management in Artificial Intelligence Implementation: A Systematic Literature Review ]]>
<![CDATA[Adib Prima Yadri]]>;
<![CDATA[Rizal Fathoni Aji]]>
<![CDATA[ Ranah Research : Journal of Multidisciplinary Research and Development Vol. 8 No. 4 (2026): Ranah Research : Journal Of Multidisciplinary Research and Development ]]>
Publisher : <![CDATA[Dinasti Research ]]>
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DOI: 10.38035/rrj.v8i4.2110
<![CDATA[Organisations across finance, healthcare, public administration, and manufacturing have made artificial intelligence a central part of their operations. Yet a practical problem remains unsolved: practitioners still lack systematic, evidence-based guidance on which data governance practices reduce the risks that AI deployment brings. The existing literature addresses AI governance frameworks and responsible AI principles, but at a level of generality that offers limited operational value. No previous systematic literature review has assembled an empirically validated catalogue of data governance practices oriented specifically toward AI risk management. This study addresses that gap directly. Drawing on peer-reviewed empirical research published between 2020 and 2026, we followed the Kitchenham and Charters protocol and PRISMA 2020 guidelines, searched six electronic databases, and arrived at a final corpus of 21 high-quality studies. From these, we extracted and classified 96 data governance practices across eight domains: Data Infrastructure and Architecture Governance (D1), Data Lineage, Traceability and Auditability (D2), Data Quality and Integrity Risk Management (D3), Algorithmic Accountability, Explainability and Bias Control (D4), Data Privacy and Security Governance (D5), Regulatory Compliance and Legal Alignment (D6), AI Risk Assessment and Governance Framework (D7), and Organizational and Socio-Technical AI Governance (D8). D1, D7, and D8 together account for 57.3% of all practices. D4 is the thinnest domain, with only 6 practices (6.3%), even as regulatory pressure around explainability intensifies. Three domains, D4, D6, and D7, have no direct counterparts in DAMA-DMBOK, confirming that AI governance introduces requirements that conventional data management frameworks were not designed to handle. The mean quality assessment score across included studies was 5.57 out of 6.0. This catalogue is, to our knowledge, the first of its kind grounded entirely in empirical evidence from real-world organisational settings.]]>
<![CDATA[Pengaruh Pemberian Berbagai Konsentrasi Ekstrak Daun Sirih (piper bettle l) terhadap Kadar Protein Kasar, Air, Lemak, dan Kadar Abu Telur Itik Asin Rebus ]]>
<![CDATA[Nurmariyantini Dewi Nurma]]>;
<![CDATA[Mudawamah Mudawamah]]>
<![CDATA[ Ranah Research : Journal of Multidisciplinary Research and Development Vol. 8 No. 4 (2026): Ranah Research : Journal Of Multidisciplinary Research and Development ]]>
Publisher : <![CDATA[Dinasti Research ]]>
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DOI: 10.38035/rrj.v8i4.2115
<![CDATA[One of the common egg preservation methods is salting. The delicious tasting characteristics and abundant availability make eggs popular among most people, but eggs are easily damaged during storage. Research on the effect of giving betel leaf extract on the chemical composition of salted eggs was conducted at the Laboratory of Animal Nutrition and Feed Science, Faculty of Animal Husbandry, University of Mataram, with the aim of determining the level of betel leaf extract that is good for making salted eggs so that the chemical composition is not reduced. The material used was 36 duck eggs obtained from duck farmers in Prapen Praya Village, Central Lombok, with an average egg weight of 68.20 grams with a coefficient of variation = 16.73%. Making salted eggs by giving betel leaf extract (25%, 50% and 75%), but there were some eggs that were not salted with betel leaf extract (Control) for observation of the chemical composition of control eggs. The chemical composition of salted eggs was observed by proximate analysis. The variables observed were water content, crude protein content, crude fat content and ash content. This research is an experimental method using Analysis of Variance (ANOVA) because to compare the amount of 4 treatments (control, 25%, 50%, 75%) the data of water content, protein, fat are ratio data (percentage numbers). Water, protein, and fat content are continuous ratio data (percentage numbers) that meet the requirements of interval/ratio data assumptions for ANOVA. The results of the study were analyzed using statistical analysis using ANOVA analysis showing that the administration of betel leaf extract as much as 25%, 50% and 75% of the egg weight in making salted eggs had no significant effect (P > 0.05) The ash content of boiled salted duck eggs with details in sequence: percentage of water content, crude protein, crude fat and ash for control eggs was 69.63%; 11.84%; 14.17%, 2.11% percentage of water, ash content, crude fat content and crude protein content for the 25% concentration of betel leaf extract was 70.04%; 70.045%, 14.36% and 11.60%. The percentage of water content, ash content, crude fat content, crude protein content with a concentration of 50% is 69.49%; 69.49%; 14.0% and 11.5%. The water content, ash content, fat content and protein content of betel leaf extract in boiled salted duck eggs with a concentration of 75% is 69.485%; 69.485%; 14.75%.]]>
<![CDATA[Faktor yang Memengaruhi Distress Psikologis pada Pekerja Rantau: Tinjauan Sistematik ]]>
<![CDATA[Shella Shella]]>;
<![CDATA[Tulus Winarsunu]]>;
<![CDATA[Nida Hasanati]]>
<![CDATA[ Ranah Research : Journal of Multidisciplinary Research and Development Vol. 8 No. 4 (2026): Ranah Research : Journal Of Multidisciplinary Research and Development ]]>
Publisher : <![CDATA[Dinasti Research ]]>
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DOI: 10.38035/rrj.v8i4.2116
<![CDATA[This systematic review aims to identify the main factors influencing psychological distress in migrant workers. Referring to the PRISMA guidelines and the SPIDER framework, this study analyzed 10 articles that met the criteria from a total of 500 literature sources found through Google Scholar over the past five years. The synthesis results indicate that psychological distress is caused by a complex relationship between work, economic, social, and individual psychological factors. Work factors include long working hours and involvement in precarious work (3D). From an economic perspective, income instability and the stress of remittances are sources of chronic anxiety. Social factors such as discrimination, isolation, and language barriers also exacerbate mental health conditions. Individual characteristics such as low resilience, young age, and low education are strongly correlated with stress vulnerability. This study concludes the need for more comprehensive mental health protection policies for migrant workers at the international level.]]>
<![CDATA[Analisis Teknis dan Ekonomi Usaha Pemotongan Sapi Berdasarkan Bobot Badan Hidup, Bobot Karkas, Biaya Produksi, dan Hasil Penjualan ]]>
<![CDATA[Putri Wiranti]]>;
<![CDATA[Mudawamah Mudawamah]]>
<![CDATA[ Ranah Research : Journal of Multidisciplinary Research and Development Vol. 8 No. 4 (2026): Ranah Research : Journal Of Multidisciplinary Research and Development ]]>
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DOI: 10.38035/rrj.v8i4.2119
<![CDATA[This study aims to analyze the technical and economic analysis of the cattle slaughter business at PT. Rumah Potong Hewan Surabaya Perseroda. The technical analysis is focused on measuring live weight, carcass weight, and carcass percentage (yield). This research method uses a case study conducted on a sample of beef cattle carried out at PT. Rumah Potong Hewan Surabaya Perseroda on January 15, 2026. Data analysis uses variables of carcass percentage, total production costs, total revenue, profit, and ratio. The results of the study show that cattle with a live weight of 447 kg produce a carcass of 195 kg, with a carcass percentage of 43.62%. From an economic perspective, this business incurs a total production cost of IDR 24,638,000 with a total revenue of IDR 26,167,750, resulting in a net profit of IDR 1,529,750 per cow. The R/C Ratio value obtained is 1.06 which indicates that the cattle slaughter business is feasible and profitable (R/C>1). Optimizing the utilization of by-products has been proven to provide a significant contribution to total business income.]]>
