Jurnal Agriment ( J. Agr - Jurusan Manajemen Pertanian, Politeknik Pertanian Negeri Samarinda)
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Competitiveness Analysis of Smallholder Oil Palm Farming in Rimbo Ilir District, Tebo Regency
Full text linkThis study examines the competitiveness of smallholder oil palm plantations in Rimbo Ilir District, Tebo Regency, and evaluates how government policies affect their performance. Using the Policy Analysis Matrix (PAM), this study analyzes comparative and competitive advantages, the impact of policies on inputs and outputs, and the sensitivity of these policies. Conducted in Sari Mulya, Sumber Agung, and Karang Dadi Villages during April–May 2025, this study found that smallholder oil palm plantations in the region have strong competitiveness, reflected in PCR (0.28) and DRCR (0.5458) values below 1. Policy indicators indicate that government interventions do not fully protect tradable inputs (NPCI > 1) and act as a disincentive to output (NPCO < 1), while overall input–output policies remain ineffective (EPC < 1). Sensitivity tests indicate that despite an increase in input prices (12%–25%) or a 10% decrease in output prices, oil palm plantations maintain their competitive and comparative advantages. In conclusion, smallholder oil palm plantations in Rimbo Ilir Regency remain highly competitive and worthy of further development
GIS-Based Analysis of Vegetation Density and Green Open Space Utilization at UNTAG Samarinda
Full text linkThe Universitas 17 Agustus 1945 (UNTAG) Samarinda is one of the educational institutions located in urban areas with high development pressure. The existence of green open spaces in the campus environment plays an important role in maintaining ecological balance, thermal comfort, and air quality for the academic community. This study aims to evaluate the level of vegetation density and proportion of green open space utilization in the UNTAG Samarinda campus area using the Geographic Information System (GIS) approach. Spatial data was obtained from high-resolution satellite imagery in 2024 and field interpretation results that included tree vegetation, shrubs, and non-green areas (buildings and roads). Data processing is carried out through the stages of geometric correction, land cover classification, and vegetation index analysis (NDVI). The results of the analysis showed that of the total land area ±2.98 hectares, around 32.6% is a vegetation area with a medium-high density level, while the rest is in the form of buildings, parking areas, and road access. These findings show the need for a more optimal Green Open Space management strategy through increasing vertical vegetation and greening in the open areas of the campus. GIS integration has proven to be effective in providing accurate spatial information to support sustainable campus planning and support UNTAG Samarinda's "Green Campus" vision
Human Trafficking in The Digital Era Through The 4Sale App in Kuwait
Full text linkThis study examines how digital technology functions as an infrastructure of exploitation within the context of human trafficking, focusing on the 4Sale app in Kuwait. Initially designed as a digital marketplace for buying and selling goods, the platform has been misused to facilitate the trade of domestic workers and migrant labourers, reflecting how the commodification of human labour extends into the digital sphere. The central research question explores what factors enable digital platforms to become mediums for human trafficking and how such mechanisms are normalized within everyday online transactions. Drawing on the framework of the digital political economy, this research argues that these exploitative practices stem from the logic of digital capitalism, which prioritizes efficiency, data circulation, and profit maximization over ethical and humanitarian considerations. The study employs a qualitative approach using case analysis and secondary data from credible sources such as BBC Arabic, Europol, and the European Center for Democracy and Human Rights (ECDHR). The findings reveal that digital human trafficking is sustained by interrelated factors including technological architectures that accelerate transactions while concealing identities, structural ties between platforms and global markets that commodify human ;abour, and weak legal as well as social accountability of technology companies. Ultimately, the study concludes that digital technology operates not as a neutral tool but as a political–economic arena that amplifies the possibilities of human exploitation in the globalized era, urging stronger regulatory and ethical frameworks to govern digital platforms
Implementation of A* (A Star) Pathfinding Algorithm in 3D Isometric Projection Game “Survival Horror: Rabies Outbreak”
Full text linkRabies remains a lethal zoonotic disease, claiming over 60,000 lives annually. Despite medical advancements, inadequate treatment and lack of awareness contribute to persistently high mortality rates. To enhance public education and engagement in rabies prevention, this study develops an educational game, “Survival Horror: Rabies Outbreak.” The game integrates a 3D isometric survival horror experience with real-world information on rabies transmission, prevention, and emergency responses. Players assume the role of a police officer delivering anti-rabies vaccines to infected residents while evading aggressive rabid animals. The game employs the A* (A Star) Pathfinding algorithm to enhance enemy AI, allowing dynamic and optimized pursuit behavior, thereby increasing realism and challenge. Beta testing with 10 respondents demonstrated that 60% of users rated the game positively, confirming its effectiveness as both an educational tool and an engaging survival-horror experience. The integration of AI-driven pathfinding with gamified learning provides a novel approach to public health education, offering an immersive method for raising awareness and fostering initiative-taking rabies prevention measures
Development of Video Learning Materials on Computational Thinking in Class XI Students of Private High School Tunas Kelapa Samarinda Academic Year 2024/2025
Full text linkIn the digital era, science and technologies are developing so fast, it’s also influences developments of students’ mindset and character in learning. so the Indonesian governments try to improve the existing curriculum of the name “Kurikulum Merdeka”. In this curriculum, students are required to have high order thinking skill levels to support their lives in keeping up with changing times. Of course, it’s also requiring teachers to be more creative and provide innovation in the teaching and learning process. The aim of the research is to develop learning media products in the form of videos learning and see the eligibility of the product being developed and implement the product for students whose result is the form of pretest and posttest scores and N-Gain scores to determine whether it's works to improve student learning outcomes. The method used in this research is Research and Development (R&D) with the ASSURE model (Analyze, State, Select, Utilize, Require, Evaluate, and Revise). The results of the eligibility test carried out by three media and one material expert were analyzed using a Likert scale. For the respective results obtained of the three media expert were 93%, 92%, 96% with an average of 93% which was included in the very eligible category, and the result from the material experts is 98% with “very eligible” category. Then for the results of the product implementation in the form of a pretest score with an average of 38, a posttest score with an average of 96, an average N-Gain Score of 0,95 and a percent of N-Gain is 95% which was included in the “high” dan “effective” category. Based on the results of this assessment, it can be concluded that the development of video learning materials on computational thinking in 11th grade class at Private High School Tunas Kelapa Samarinda is “very eligible” to be used in the learning process and is effective in improving student learning outcomes
The Influence of Leadership, Organizational Commitment and Evaluation Monitoring on the Performance of Regional Apparatus Employees in Buleleng Regency
Full text linkThis study aims to analyze the influence of leadership, organizational commitment, and evaluation monitoring on the performance of regional apparatus employees in Buleleng Regency. The quantitative method is used with a survey technique involving regional apparatus employees as respondents. The results of the study show that leadership plays an important role in improving employee performance through effective communication, work motivation, and the formulation of a clear vision. Organizational commitment has been proven to strengthen employee loyalty and responsibility, which has implications for increasing productivity and quality of public services. Evaluation monitoring plays a role in ensuring continuous performance improvement through the provision of constructive feedback and a more transparent accountability system. These three variables interact synergistically in creating a work environment that supports improving employee performance. This study makes a theoretical contribution by confirming the relationship between leadership, organizational commitment, and evaluation monitoring in the context of regional bureaucracy. Practically, the results of this research can be used as a basis for local governments in formulating strategic policies to improve the effectiveness of the work of the apparatus through strengthening leadership capacity, forming an adaptive organizational culture, and implementing a technology-based evaluation system. The recommendations of this study include the development of a more comprehensive leadership training program, the optimization of digital-based performance monitoring systems, and the increase of employee participation in the organizational decision-making process to strengthen their involvement in achieving the institution's goals
The Effect of Good Corporate Governance on The Value of IDX 30 Companies Listed on The Indonesia Stock Exchange
Full text linkThis study aims to examine the influence of Good Corporate Governance (GCG) on firm value in companies listed in the IDX30 index on the Indonesia Stock Exchange. The background of this research stems from the growing importance of GCG implementation, particularly after the 1997 Asian financial crisis, where internal issues such as weak institutional supervision and poor investment decisions were identified. The study adopts a quantitative approach, utilizing secondary data from annual reports and financial statements of IDX30 companies. Analytical methods include classical assumption tests and multiple regression analysis to determine the effect of GCG variables such as board of commissioners, independent commissioners, audit committee, and institutional ownership on firm value. The results show that GCG practices significantly affect firm value. This finding reinforces the notion that good governance practices enhance transparency, accountability, and stakeholder trust, which are critical in boosting the company's market performance and attractiveness to investors
Detecting Bot Comments on a Product in Shopee Using the Gradient Boosting Method
Full text linkShopee is one of the largest e-commerce platforms in Southeast Asia, providing a product comment feature that serves as a primary reference for prospective buyers to assess product quality and seller reputation. Unfortunately, the prevalence of fake comments generated by bots—characterized by rigid language, repetitive patterns, and excessive praise—raises concerns about the authenticity of available reviews. This issue can negatively influence consumers’ purchasing decisions. This study aims to develop an automated system capable of detecting bot comments using the Gradient Boosting algorithm. A total of 3,000 comments were manually collected from various product categories and labeled directly by the researchers. The comment data were then processed through several stages, including text cleaning, tokenization, and lemmatization, to prepare for model analysis. The trained model demonstrated excellent performance, achieving an accuracy of 94.09%, precision of 95.99%, recall of 83.23%, and an F1-score of 89.13%. Based on these results, it can be concluded that the Gradient Boosting algorithm is highly effective in classifying bot comments and can help improve consumer trust and security in online shopping
How Do Profitability and Tax Avoidance Influence Enterprise Value in the Food and Beverages Sub-Sector?
Full text linkEvery company aspires to increase its value through business activities to achieve its goals. Enterprise or firm value is a crucial determinant of a company's overall well-being for investors. Profitability and tax avoidance are some of the many factors that determine this value. This research uses a quantitative method that studies manufacturing companies of the food and beverages sub-sector listed on the Indonesia Stock Exchange (IDX) from 2017 to 2020 as samples. The findings of this study show that profitability, indicated by return on assets (ROA), affects enterprise value, where t-value > t-table (14.156 > 1.674) with a significance of 0.000 > 0.05, so it is concluded that profitability has a positive significant influence on enterprise value. Similarly, Tax Avoidance, measured with effective tax rate (ETR), affects enterprise value, where t-value > t-table (3.901 > 1.674) with a significance of 0.000 > 0.05, so it is deduced that Tax Avoidance has a positive significant influence on enterprise value
Evaluation of HRM Strategies to Enhance Nurse Performance at RSU Muhammadiyah Cirebon
Full text linkThis study aims to evaluate human resource (HR) management strategies in enhancing nurse performance at the Muhammadiyah University of Cirebon General Hospital (RSU UMC). A qualitative research approach was employed, utilizing case study and phenomenological methods through in-depth interviews, observations, documentation reviews, and questionnaires. The findings reveal that HR strategies such as selective recruitment, continuous training, and performance evaluation have been implemented and have shown a positive impact on nursing competence and service delivery. However, several challenges remain that hinder the full effectiveness of these strategies. These include high workload pressures, training content that is not entirely relevant to daily practice, performance evaluations that focus mainly on quantitative measures, and an incentive system perceived as inequitable. Furthermore, poor interprofessional communication and uneven distribution of tasks further reduce job satisfaction and motivation among nurses, ultimately affecting the quality of patient care. These limitations indicate that the current HR strategy needs to be improved and made more responsive to the real needs faced in the field. Based on the results, this study recommends the development of a more integrated HR strategy that emphasizes needs-based and adaptive training, a comprehensive and balanced performance evaluation framework, and a fair reward system that values service quality over quantity. Such improvements are essential to foster a supportive and motivating work environment, leading to increased nurse performance, higher job satisfaction, and improved patient satisfaction. This research contributes valuable insights for hospital management in designing effective HR strategies in healthcare settings