Ranah Research : Journal of Multidisciplinary Research and Development

Makna Simbolik Gerak Tari Kebo Kinul di Desa Genengsari Kabupaten Sukoharjo

Adiba Ussy Admaja, R. Indriyanto — Mon, 08 Jun 2026 12:54:07 +0000

Based on the research that has been explained, Kebo Kinul Dance is a traditional art form that developed from folklore closely connected to the daily lives of local people and village traditions, such as the earth alms ceremony. This dance evolved from symbolic representations of community activities, particularly the hard work of farmers in the rice fields, which were later transformed into a dance performance by residents and artists. The essence of the Kebo Kinul movements is derived from everyday community activities. For example, the footsteps symbolize the movements of buffaloes, the shoulder movements represent the strength of the buffalo, and the rotating movements convey energy and enthusiasm. The stiff movements are not considered a weakness of the dance; instead, they have become one of its distinctive characteristics. In addition, the use of costumes made from straw further strengthens the identity and uniqueness of the dance. Furthermore, the costumes and performance forms contain figurative meanings that illustrate the relationship between humans, animals, and the surrounding environment. In general, Kebo Kinul Dance is not merely a form of entertainment, but also symbolizes persistence, togetherness, humility, and gratitude to the Creator for the harvest and the life that have been received

Tinjauan Siyasah Idariyah tentang Potensi Sistem Big Data dalam Menguatkan Akuntabilitas Pengelolaan Zakat di Badan Amil Zakat Nasional Provinsi Jawa Barat

Alvika Jienni Mulia Pangestuti, Beni Ahmad Saebani, Yana Sutiana — Tue, 09 Jun 2026 00:00:00 +0000

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.

Strategi Guru dalam Mengatasi Kesulitan Belajar Tari: Studi Kasus di SMP Negeri 1 Randublatung, Indonesia

Siwi Sabilla Sekar Kinasih, Utami Arsih — Tue, 09 Jun 2026 16:38:34 +0000

This study aims to identify dance learning difficulties and analyze teacher strategies in addressing them at SMP Negeri 1 Randublatung. The study employed a qualitative approach with a case study method. Data were collected through passive participant observation, in-depth interviews with teachers and students, and documentation. The results indicate that dance learning difficulties include wiraga (stiffness in movement), wirama (difficulty adjusting rhythm), and wirasa (lack of expression). Teachers implemented a combination of strategies: expository for introduction, cooperative for group practice, and affective for building self-confidence. The novelty of this research lies in the disclosure of combinative learning strategies (expository, cooperative, and affective) contextually in overcoming difficulties in learning dance in the aspects of wiraga, wirama, and wirasa at the junior high school level.

Pengaruh Strategi Pemasaran Politik dan Niat Memilih terhadap Elektabilitas Calon Legislatif Kabupaten Probolinggo

Alfiana Firda Afnaini, Cosmas Gatot Haryono — Wed, 10 Jun 2026 16:55:09 +0000

This study aims to analyze the influence of political marketing strategies and voting intention on the electability of legislative candidates in Probolinggo Regency. The study is motivated by the phenomenon that legislative candidates’ electability at the local level is shaped not only by the intensity of campaign activities, but also by social closeness and community-based relationships among voters. This research employed a quantitative approach with an explanatory design. Data were collected through a survey involving 204 respondents who participated in the 2024 Legislative Election and were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM). The findings reveal that political marketing strategies have a positive and significant effect on both voting intention and electability. In addition, voting intention also has a significant positive effect on electability. Furthermore, voting intention serves as a partial mediating variable in the relationship between political marketing strategies and electability. The findings indicate that electability is not solely influenced directly by political marketing strategies but is also shaped through the formation of voting intention within a relational social context among voters. This study contributes to the development of political marketing literature, particularly in explaining the formation of voting intention and electability in the context of local legislative elections.

Pengaruh Disiplin Kerja dan Status Kerja terhadap Produktivitas Pemanen di PT Perkebunan Nusantara IV Afdeling 3 Kebun Dolok Ilir

Eka Andreansyah, Friska Anggraini Barus — Thu, 11 Jun 2026 12:06:37 +0000

Harvester work productivity is a factor that determines the success of oil palm plantation companies in achieving production targets. In order to increase this productivity, an understanding of the factors that influence it is necessary, especially work discipline and employee work status. This study aims to determine and analyze the effect of work discipline and work status on harvester productivity at PT. Pembangunan Nusantara IV Afdeling 3 Kebun Dolok Ilir. The research took place from September to October 2025 with a quantitative approach. The sample determination used a simple random sampling technique involving 60 harvester employees as respondents. Research data was obtained through questionnaires, field observations, and interviews. Data analysis was carried out using validity tests, reliability tests, regression analysis equipped with hypothesis testing, including partial tests (individual), simultaneous tests (together), and coefficient of determination analysis tests were carried out with the help of SPSS 25 software. Based on the results of the study, the existence of work discipline has a significant positive impact on harvester performance, and is proven by the results of significance being less than 0.05 and the magnitude of the regression coefficient is 0.451. Meanwhile, no significant relationship was found between job status and harvester work productivity through a significance value of 0.301 > 0.05, the magnitude of the regression coefficient effect was 0.058. As a whole, work discipline and job status were proven to have a significant impact on harvester work productivity, stated through a calculated F score of 34.146 thanks to a validity level of less than 0.05. Furthermore, the magnitude of the determination coefficient (R²) reached 0.545, proven for both aspects in question can explain harvester work productivity reaching 54.5%, and the other reaching 45.5% is determined by other aspects not discussed in this study. In accordance with the results of the analysis, work discipline is the main variable that has the most influence on harvester work productivity.

Analisa Produktivitas Tanaman Kelapa Sawit di Afdeling IV Kebun Baru PT Perkebunan Nusantara IV Regional VI

Fathan Hably Azya, Sri Murti Tarigan — Fri, 12 Jun 2026 13:11:26 +0000

This study examines the productivity of oil palm plantations in Afdeling IV Kebun Baru, Langsa City, Aceh. Oil palm is an important plantation commodity in Indonesia that plays a significant role in the national economy, providing employment, and producing vegetable oil and alternative fuels. Plant productivity is influenced by several factors such as rainfall, temperature, land suitability, fertilization, pest attacks, and production labor. The study was conducted using a descriptive method with secondary data collection in Afdeling IV Kebun Baru PT. Perkebunan Nusantara IV Regional VI. The data analyzed included rainfall, plantation production, labor, fertilization, and land conditions in 2023–2025. The results showed that rainfall conditions in Afdeling IV were classified as unstable. 2025 had the highest rainfall of 2,237 mm with two dry months, while 2023 and 2024 experienced four dry months. Unstable rainfall causes a decrease in production because it affects the formation of fresh fruit bunches (FFB), harvesting activities, road conditions, and the quality of production results. Production data shows that production realization in several years did not reach the RKAP target, especially in 2025, which experienced the largest production decline. The 2010–2012 planting year had higher productivity and average bunch weight (AGBW) compared to the young planting year, but in general, AGBW decreased each year. In addition to climate factors, the decline in productivity was also influenced by attacks by long-tailed monkeys (Macaca fascicularis), which caused shrinkage of FFB and a decrease in AGBW. Controlled efforts have been carried out through the installation of traps, but the results have not been effective because the plantation location is directly adjacent to a forest area. Other factors affecting productivity are fertilization and production labor. Fertilization is carried out twice a year using Urea, Dolomite, MOP, TSP, and NPK Mutiara fertilizers according to the company's standard dosage. Meanwhile, the harvesting workforce in Afdeling IV numbered 20 people with a contract basis adjusted based on the planting year and average bunch weight of the plants. Overall, the study concluded that oil palm productivity in Afdeling IV Kebun Baru is influenced by environmental factors, particularly rainfall, pest infestation, fertilizer effectiveness, and labor. The results of this study indicate that efforts to increase oil palm productivity require management strategies that can adapt to changing climate conditions as well as the implementation of integrated and sustainable pest control.

Analisis Teknis dan Ekonomi Usaha Pemotongan Sapi Berdasarkan Bobot Badan Hidup, Bobot Karkas, Biaya Produksi, dan Hasil Penjualan

Putri Wiranti, Mudawamah Mudawamah — Fri, 12 Jun 2026 13:53:04 +0000

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.

CIPP Model Analysis for Evaluation of the Stunting Reduction Acceleration Program Policy: A Case Study of Hunuth/Durian Patah Village, Ambon City

Harmiati Mewal, Ima Mayasari — Sat, 13 Jun 2026 13:14:29 +0000

This study evaluates the acceleration of stunting reduction in Hunuth Village, Ambon City, using the CIPP model (Context, Input, Process, Product) to identify success factors. A qualitative case study method was employed, utilizing in-depth interviews, field observations, and document analysis. Results indicate a dramatic decline in stunting prevalence from 21.80% in 2021 to 1.9% in 2024, significantly surpassing the 14% national target. This achievement is driven by visionary village leadership and the strategic prioritization of Village Funds for health and sanitation infrastructure. Implementation successfully integrated specific interventions, such as nutrition monitoring, with sensitive interventions like the Healthy Kitchen to Overcome Stunting program and improved waste management. High community participation and empowered health cadres were essential to this progress. While challenges regarding data recording accuracy and consistent household parenting practices remain, Hunuth Village serves as a premier model for institutionalizing stunting mitigation through effective village-level governance and cross-sectoral collaboration.

Consumer Perceptions of Electric Motorcycle Adoption Factors in Indonesia: A Descriptive Analysis Across Income, Gender, and Vehicle Ownership Segments

Tauriq Aldila Firdaus, Yuniaristanto Yuniaristanto, Retno Wulan Damayanti — Sun, 14 Jun 2026 17:00:45 +0000

Indonesia's massive conventional motorcycle (CM) market presents both a challenge and an opportunity for electric motorcycle (EM) adoption. While government subsidies and supportive policies have been introduced, adoption rates remain persistently low, highlighting the need for a deeper understanding of consumer perceptions. This study provides a descriptive portrait of consumer perceptions toward electric motorcycle adoption based on a cross-sectional survey of 786 respondents across major Indonesian cities. Nine constructs were examined: Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Hedonic Motivation, Price Value, Habit, Brand Trust, and Purchase Intention. Descriptive statistics and segmentation analyses were conducted across income, gender, and vehicle ownership groups. Findings indicate that Effort Expectancy and Brand Trust were the most favorably rated constructs, while Habit recorded the lowest means, reflecting psychological attachment to conventional motorcycles. Public charging infrastructure availability emerged as the weakest facilitating factor. Income showed the clearest demographic differentiation, with higher-income respondents reporting more positive perceptions across virtually all constructs. Gender differences were minimal, and current EM owners consistently reported more favorable perceptions than non-owners. These findings provide a granular baseline to inform targeted strategies for policymakers, manufacturers, and marketers seeking to accelerate sustainable mobility transition in Indonesia.

Pengaruh Persepsi Wisatawan terhadap Kondisi Kebersihan Lingkungan terhadap Keputusan Berkunjung ke Bali

Nurfadillah Mustari, I Wayan Sugita, Agus Sunatha Putra — Tue, 16 Jun 2026 06:55:37 +0000

Environmental cleanliness is one of the important factors in determining the attractiveness of a tourist destination, especially in Bali, which is known as a world-class tourism destination. However, the increasing number of tourist visits has also created challenges in the form of rising waste volume and declining cleanliness quality in several tourist areas. This condition has the potential to influence tourists’ perceptions and their decisions in choosing destinations. This study aims to analyze the influence of tourists’ perceptions of environmental cleanliness on visiting decisions to Bali. The research employed a quantitative approach using a survey method through questionnaires distributed to domestic and international tourists. The data analysis technique used was simple linear regression to examine the relationship between cleanliness perception and visiting decisions. The results showed that tourists’ perceptions of environmental cleanliness have a positive and significant influence on visiting decisions. Tourists tend to choose destinations that are clean, comfortable, and free from waste. These findings confirm that environmental cleanliness is an important element in shaping destination image and increasing tourism competitiveness. Therefore, sustainable efforts from the government, tourism industry stakeholders, and the community are needed to maintain environmental cleanliness to support sustainable tourism in Bali.

Implementasi Pelatihan Aparatur Sipil Negara dan Kesiapan Pencapaian Human Capital Development Plan (HCDP) di Pemerintah Kota Bontang

Ayu Aldiana, Aji Ratna Kusuma, Enos Paselle — Thu, 18 Jun 2026 10:39:12 +0000

This study analyzes the implementation of civil apparatus training and the readiness to achieve the Human Capital Development Plan (HCDP) in Bontang City using the Van Meter and Van Horn theory. A descriptive qualitative method was employed through in-depth interviews, observation, and document study. Results indicate effective implementation supported by regulations, political commitment, and adequate infrastructure. However, challenges remain in competency data accuracy, workload conflicts, and internal communication bottlenecks. Recommendations include integrating independent competency data systems and digitalizing training information delivery.

Do Traditional Imaging Predictors Still Matter? A Systematic Review on Laser Efficiency and Stone-Free Outcomes in the Era of Advanced Lithotripsy

Thu, 18 Jun 2026 12:13:26 +0000

Endoscopic laser lithotripsy has become the standard treatment for urinary stones, yet preoperative imaging parameters that predict laser efficiency and stone-free outcomes remain incompletely characterized. This systematic review synthesizes evidence on current imaging-based predictors of laser efficiency and stone-free outcomes in endoscopic laser lithotripsy, with the goal of informing precision surgical planning and future predictive modeling. A systematic review was conducted following PRISMA guidelines. We screened studies evaluating adult patients (≥18 years) with urinary stones undergoing endoscopic laser lithotripsy with preoperative imaging assessment and reported relationships between imaging parameters and treatment outcomes. Data extraction included patient characteristics, imaging parameters, laser technology, efficiency metrics, stone-free outcomes, and statistical relationships. One hundred ten studies comprising 23,847 patients met inclusion criteria. Stone density >1000 HU predicted significantly lower single-session stone-free rates (40% vs 95%, p=0.01) and longer operative time (75±15 vs 55±13 minutes, p<0.01) for stones >2 cm. Stone size >20 mm reduced stone-free rates to 68% versus 100% for stones ≤20 mm, with first-procedure success of only 25.0% for bilateral total diameter >30 mm. Lower pole location independently predicted reduced stone-free rates (OR 0.523, p<0.001), while stone relocation improved 3-month stone-free rates from 84.4% to 97.8% (p=0.026). Higher BMI unexpectedly predicted improved stone-free rates (OR 1.17, p=0.022). Thulium fiber laser demonstrated shorter lasing time (7.4±1.8 vs 14.8±1.5 minutes, p=0.011) and comparable stone-free rates to Ho: YAG. The SMASH score (HU × size/100) with cut-off of 15 distinguished RIRS success rates (82% vs 61%, p=0.03). Flexible and navigable suction ureteral access sheath (FANS) achieved 94.7-97.5% stone-free rates. Stone imaging characteristics helped predict complex surgical procedures and outcomes of endoscopic lithotripsy․ Imaging methods differed in their ability to predict procedural difficulty‚ with density being most predictive for large stones․ The anatomical location and stone burden helped predict procedural feasibility and stone clearance․ Support is provided for transitioning from descriptive imaging to predictive imaging-based surgical planning and the potential for imaging biomarkers and technology-dependent parameters to individualize surgery and optimize laser parameters․Stone density >1000 HU, size >20 mm, and lower pole location are validated predictors of reduced laser efficiency and stone-free outcomes. Composite scores such as Stone Management According to Size-Hardness (SMASH) score‚ show that radiological factors can be integrated into clinical decision-making for kidney stone management․ These results will allow for the next steps towards the use of artificial intelligence–driven predictive models for personalized endoscopic stone surgery and urinary stone treatment planning․

Partisipasi Masyarakat Lokal dalam Pengembangan Daya Tarik Wisata Pura Lempuyang di Kabupaten Karangasem, Provinsi Bali

Desak Gede Susila, I Wayan Suardana, Ni Putu Ratna Sari — Thu, 18 Jun 2026 14:12:06 +0000

This study is motivated by the importance of local community participation in community-based tourism development, particularly at the Pura Lempuyang Tourist Attraction in Karangasem Regency, Bali. Although local communities have been involved in various tourism activities, the level of participation and distribution of roles in decision-making remain important issues to be examined. This research aims to analyze the forms of participation, levels of participation, and the impacts of local community participation in the development of tourism at Pura Lempuyang. This study employs a descriptive approach using both qualitative and quantitative data. Data were collected through in-depth interviews, observation, documentation, and questionnaires distributed to local community members. Qualitative data were analyzed thematically using NVivo, while quantitative data were analyzed using a Likert scale based on Arnstein’s ladder of participation (1969). The findings indicate that community participation is predominantly characterized as induced participation, with the main involvement occurring in operational and economic aspects of tourism. The level of participation is situated at the degrees of tokenism, particularly at the informing stage, where the community is involved through information dissemination and consultation but has limited influence on decision-making processes. Community participation also generates positive impacts on economic, social and cultural aspects, including increased income, expanded business opportunities, strengthened social interaction, and reinforcement of cultural and religious values. This study concludes that community participation in Pura Lempuyang has developed but still requires strengthening in terms of authority distribution, equitable benefit-sharing, and involvement in strategic planning to ensure more inclusive and sustainable community-based tourism development.

Trends, Frameworks, and Reference Models in Public Sector Enterprise Architecture: A Systematic Review

Thu, 18 Jun 2026 16:25:27 +0000

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.

AI-Driven Knowledge Sharing in the Banking Sector: Challenges and Approaches

Fri, 19 Jun 2026 10:22:36 +0000

Digitalization is becoming increasingly relevant for banking, hence the necessity for a practical Knowledge Management (KM) system that can facilitate rapid innovation and ensure proper regulatory compliance. While there is growing recognition of KM as a strategic driver of performance, it is implemented in a fragmented way within financial institutions and limited by technology, organizational and governance barriers. This paper presents a Systematic Literature Review (SLR) following the PRISMA 2020 protocol, aiming to identify, evaluate and synthesize the academic literature published between 2020 and 2025 on the integration of AI and KM in the banking context. Forty primary studies were examined via narrative synthesis to address two research inquiries: the challenges of AI-driven knowledge sharing (RQ1) and AI-based methodologies and best practices that enhance knowledge management processes (RQ2). The findings identify three main challenge domains data and technology infrastructure, organizational and human factors, and governance, security, and ethics constraints and six main solution categories, including NLP, machine learning, knowledge graphs, expert systems, human-AI hybrid collaboration, and ethical AI governance frameworks. These findings lead to the idea that the use of AI improves the accessibility of knowledge, learning and creativity and its efficiency depends on the capacity of the appropriate KM, absorptive capacity and maturity of governance. The study offers a cohesive framework linking AI innovation to organizational knowledge performance within the finance sector.

Systematic Review of GC-MS-Based Methods for Determination of Aldehydes in Electronic Cigarette Liquids

Ismatun Wafiyah, Mochammad Yuwono, Riesta Primaharinastiti — Fri, 19 Jun 2026 11:15:48 +0000

Electronic cigarettes generate toxic aldehyde compounds through the thermal decomposition of primary e-liquid constituents, namely propylene glycol and glycerol, yet standardized analytical methodologies for their determination remain critically fragmented across research institutions worldwide. This study conducted a systematic literature review adhering to the PRISMA 2020 protocol, encompassing 15 peer-reviewed articles retrieved from PubMed, Scopus, and Web of Science covering the period 2016 to 2024, specifically examining GC-MS-based methods for aldehyde determination in e-liquid matrices. Comparative synthesis demonstrated that headspace GC-MS incorporating isotopic internal standards constitutes the most robust analytical approach, consistently achieving linearity coefficients exceeding R²>0.990 without the requirement for chemical derivatization. Formaldehyde, acetaldehyde, and acrolein were recurrently identified as predominant aldehydes, with emission intensities exhibiting strong positive correlation with device operational parameters including voltage and heating power. Detection of formaldehyde-hemiacetal revealed substantial underestimation inherent to conventional measurement approaches regarding total aldehyde exposure. Pronounced methodological fragmentation across laboratories and the absence of matrix-specific certified reference materials represent principal barriers to global interlaboratory data harmonization. Standardization of reference methods through international interlaboratory collaboration is critically recommended to ensure robust and effective safety surveillance of electronic cigarette products.

Faktor yang Memengaruhi Distress Psikologis pada Pekerja Rantau: Tinjauan Sistematik

Shella Shella, Tulus Winarsunu, Nida Hasanati — Fri, 19 Jun 2026 12:15:36 +0000

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.

Pemetaan Tingkat Kerawanan Banjir Menggunakan Sistem Informasi Geografis (SIG) di Kota Samarinda

Fri, 19 Jun 2026 12:43:00 +0000

Floods are a hydrometeorological disaster that frequently occurs in urban areas, including Samarinda City, which has a low-lying topography and crosses the Mahakam River. This study aims to map the level of flood vulnerability in Samarinda City using a Geographic Information System (GIS). The method used is a quantitative approach with GIS-based spatial analysis through scoring, weighting, and Weighted Overlay techniques. The parameters described include elevation, slope gradient, distance to the river, land use, rainfall, and soil type. The results show that areas with a high level of flood vulnerability reach 59.73% of the total study area, mainly displayed along the banks of the Mahakam River and lowlands with dense organization. The level of moderate vulnerability covers 36.92%, while low vulnerability only 3.35%. The main factors causing vulnerability are high rainfall, gentle slopes, proximity to the river, and the conversion of infiltration land into built-up areas. The resulting vulnerability map can be the basis for strategies for local governments in disaster-aware spatial planning and flood mitigation. This research contributes to the development of disaster GIS studies and increasing the adaptive capacity of the community to flood risks in Samarinda City.

Pengaruh Pemberian Berbagai Konsentrasi Ekstrak Daun Sirih (piper bettle l) terhadap Kadar Protein Kasar, Air, Lemak, dan Kadar Abu Telur Itik Asin Rebus

Nurmariyantini Dewi Nurma, Mudawamah Mudawamah — Fri, 19 Jun 2026 14:28:45 +0000

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%.

Data Governance Practices for Risk Management in Artificial Intelligence Implementation: A Systematic Literature Review

Adib Prima Yadri, Rizal Fathoni Aji — Fri, 19 Jun 2026 15:15:43 +0000

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.

Evaluasi Fenotipe dan Pendugaan Parameter Genetik Beberapa Galur Jagung Pakan (Zea Mays L.)

Fri, 19 Jun 2026 15:51:22 +0000

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.

Digital Transformation and Service Performance: Managing Public Feedback Systems in Public Sector Organizations

I Made Panji Ananda Pahlawan, I Nyoman Subanda — Fri, 19 Jun 2026 16:20:18 +0000

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.

The Relationship Between Work-Family Conflict, Emotional Regulation, and Psychological Well-Being Among Working Mothers at PT X

Lina Marliana, Prinskadamara Satri, Ridlwan Muttaqin — Sat, 20 Jun 2026 13:39:00 +0000

This study was conducted to analyse the relationship between work-family conflict and emotional regulation on psychological well-being among working mothers who serve as the primary breadwinners at PT X. The study employed a quantitative approach using a descriptive correlational method and multiple linear regression analysis. Based on the results of the Pearson Product Moment correlation test for the work-family conflict variable, a correlation coefficient of 0.177 was obtained with a significance value of 0.175 (p > 0.05). These results indicate that no significant relationship was found between work-family conflict and psychological well-being among working mothers acting as female breadwinners at PT X. Meanwhile, emotional regulation showed a positive and significant relationship with psychological well-being, with a significance level of 0.000 (p < 0.05) and a correlation coefficient of 0.996. This finding indicates that the ability to manage and control emotions plays a crucial role in enhancing the psychological well-being of working mothers. The results of the simultaneous test (F-test) also showed that work-family conflict and emotional regulation together have a significant relationship with psychological well-being, with a significance value of 0.000 (p < 0.05) and a coefficient of determination (R²) of 0.993. Emotional regulation is therefore the most influential factor in helping working mothers, as female breadwinners, maintain psychological stability amidst the demands of work and family life.