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Transforming Agricultural Training Evaluation: An TERAPAN Model for Quality Vocational Education
No full textThe effectiveness of technical training in the agricultural sector is highly dependent on the success of the overall evaluation of participants' skills. This research aims to develop a competency-based training evaluation model that can measure participants' knowledge, skills, and attitudes systematically and objectively. The study was conducted on the training of two-wheeled tractor operators at the Batangkaluku Agricultural Training Center (BBPP). With a Research and Development (R&D) approach that integrates the Borg & Gall, ADDIE, CIPP, and Logic Model models, an evaluation model called TERAPAN (Evaluative Transformation for Agricultural Training Response and Action) was produced. The model is validated through expert tests and field implementation that demonstrate high validity, practicality, and effectiveness. The results show that the TERAPAN model is able to improve the accuracy of skill measurement and provide concrete feedback to the training design. This model makes a significant contribution to strengthening the vocational agricultural training system in Indonesia, and is recommended for national adoption
Ecological Spatial Model of Maize (Zea Mays L.) In Wanggarasi Sub-District, Pohuwato Regency – Gorontalo Province, Indonesia
No full textThis research was conducted in Wanggarasi Sub-district, Pohuwato Regency, Gorontalo Province, specifically in Bohusami Village and Bukit Harapan Village. The objectives of this study were (1). To analyze the biophysical land conditions (land capability, land suitability, land carrying capacity, production), as well as the social conditions of the community, particularly population pressure, which can support a sustainable maize land-use system. (2). To develop an appropriate model for optimizing sustainable maize cultivation in Wanggarasi Sub-district, Pohuwato Regency, Gorontalo Province. The method used was land evaluation with a land unit approach. Sampling locations were determined using stratified random sampling, considering land units at the study sites—namely, slope, landform, and land use. The preparation of land capability maps, land suitability maps, and land optimization maps was carried out through interpretation of RBI maps, administrative maps, land unit maps, and LCLP analysis results. Meanwhile, maps of land carrying capacity, population pressure, and production were developed based on RBI maps, administrative maps, and secondary data. Data analysis was conducted using ecological spatial analysis with Geographic Information System (GIS) and supporting socio-economic data were analyzed descriptively. The research results showed that the study area is dominated by land with low optimization categories (R), expressed through the functional formula: OPT (R) = f (KL (III, IV) + KS (S3, N1) + DDL(R) + P(R) + TP(R)). The models and strategies for optimizing land in the low category (R) can be implemented through: (1) Identifying land units combining dry fields and rainfed areas that ensure the availability of land with high (T) or moderate (S) optimization categories, with a minimum area approximately equal to that of land units categorized as moderate or low in the sub-district. (2) Identifying land-use combinations that can yield production categorized as high (T) or moderate (S) land optimization by converting part of the coconut plantation area—particularly those needing replanting—into dryland maize cultivation. Additionally, seeking land-use combinations that ensure the availability of land areas with moderate optimization category (S), such as mixed gardens and dry fields
Certainty Factor vs. Dempster-Shafer: Evaluating Accuracy in an Android Expert System for Tilapia Disease Diagnosis
No full textThis study aims to develop an Android-based expert system to help fish farmers detect diseases in tilapia (Oreochromis niloticus) quickly and accurately. This system implements two inference methods, namely Certainty Factor (CF) and Dempster-Shafer (DS), which are then compared to assess their effectiveness and accuracy in the diagnosis process. The research was conducted in Purwonegoro Subdistrict, Banjarnegara Regency, which is one of the centers of tilapia farming in Central Java.The knowledge base in this system is compiled based on disease symptom data obtained from interviews with experts and scientific literature references. The developed Android application allows users to enter symptoms that appear on fish to get diagnosis results along with confidence levels and treatment suggestions. System testing is carried out using real case data from the field, and the diagnosis results are compared with evaluations by experts.The results show that both methods are able to provide fairly accurate diagnoses. The Certainty Factor method excels in terms of speed and simplicity in calculation, while the Dempster-Shafer method is better able to handle uncertainty from non-specific symptom combinations. The accuracy of the Dempster-Shafer method is slightly higher than the Certainty Factor, but the difference is not statistically significant.This expert system is expected to be a practical solution for fish farmers in identifying diseases early on, thus supporting the increase in productivity and efficiency of tilapia farming in the research area
Artificial Intelligence Engines and Smart Systems in Developing an Integrated Model for Contemporary Leadership Theories
No full textThe rapid evolution of Artificial Intelligence (AI) technologies and smart systems has fundamentally reshaped the organizational landscape, creating a knowledge and methodological gap between technological advancement and the current theoretical frameworks of contemporary leadership. This research addresses this gap by investigating how AI engines and smart systems can contribute to the development and crystallization of an integrated model for contemporary leadership theories, particularly within the emerging hybrid work environment. Adopting a Descriptive-Analytical Approach through an in-depth desk review and critical analysis of recent academic literature, the study analyzes the impact of AI on core leadership concepts and identifies the new competencies required for leaders.
The analysis reveals that AI significantly enhances dimensions of Transformational Leadership, such as Individualized Consideration and Intellectual Stimulation, but simultaneously challenges the maintenance of Idealized Influence and Inspirational Motivation. The study highlights that the primary challenge in integrating smart systems is not technical, but ethical, necessitating robust governance frameworks. Consequently, the research proposes an Integrated Model: Leadership as a Strategic and Ethical Mediator. This model shifts the leader's role from an administrative supervisor to a mediator who focuses on Formulating the Hybrid Vision, ensuring Ethical Governance of AI decisions, and Enhancing Cognitive Adaptation among employees. The model emphasizes the necessity of new Hybrid Competencies, including Digital Emotional Intelligence and Algorithmic Ethical Thinking, to ensure effective and ethical leadership in the digital age. The findings underscore that Transformational Leadership remains the most effective style for managing digital change, provided it is augmented by these new competencies and the proposed mediator role
Analysis of the Productivity of Hybrid Corn Variety Bisi 2 in Buleleng Village, Bungku Pesisir Subdistrict, Morowali Regency, Central Sulawesi Province
No full textThe purpose of this study was to determine: how much is the productivity of hybrid corn variety bisi 2 in Buleleng Village, Bungku Pesisir District, Morowali Regency, Central Sulawesi Province and what factors influence the productivity of hybrid corn variety bisi 2 in Buleleng Village, Bungku Pesisir District, Morowali Regency, Central Sulawesi Province. The population in this study were all corn farmers in Buleleng Village, totaling 36 people. This study used a census method, where the entire population was used as a sample. Data were analyzed using a multiple non-linear regression formula transformed into a Cobb Douglas function. The results of this study indicate that the factors that affect the productivity of hybrid corn bisi 2 are farming experience X1 with a significant value of 0.041, the use of technology X2 with a significant value of 0.015, and the use of seeds X3 with a significant value of 0.002
Gangsterism Behaviour and Culture: A Threat to Investment Climate and Economic Security in Industrial Zones
No full textThe proliferation of gangsterism in Indonesia’s industrial zones has emerged as a serious threat to the investment climate and national economic stability. Informal violence, extortion of logistics, and the monopolisation of distribution channels by mass organisations operating under gangsterism create legal uncertainty, reduce business efficiency, and generate hidden economic costs that negatively affect investor confidence. This study aims to systematically explore the behavioural and cultural characteristics of gangsterism in industrial areas and to examine the social, legal, and economic factors driving its expansion. Employing a descriptive qualitative approach, the research draws on secondary data from academic journals, institutional reports, and legal documents. The findings reveal that gangsterism is not merely a consequence of weak law enforcement but also a product of social inequality, structural unemployment, and the involvement of local political actors in informal power relations. The study further shows that gangsterism disguised as community organisations follows a systematic pattern with the potential to disrupt industrial supply chains and undermine long-term investment certainty. Its original contribution lies in the identification of two forms of industrial gangsterism—informal and formal-political and in mapping their nexus with the degradation of microeconomic security. The study recommends the establishment of an Anti-Gangsterism Task Force in strategic industrial areas as well as the strengthening of regulations and inter-agency coordination to foster a clean, stable, and globally competitive industrial ecosystem
The Effect Of Entrepreneurial Education On Entrepreneurial Intention Through Innovation And Digital Literacy Of High School Students In Mojokerto Regency
No full textIn this era of globalization and technological advancement, it is important for every individual to have the ability to face the challenges of an increasingly competitive world of work. One way to prepare the younger generation to face these challenges is through entrepreneurship. This study aims to explore the impact of entrepreneurial knowledge on entrepreneurial intentions through innovation and digital literacy among students at SMAN Mojokerto Regency. The research method used is the Structural Equation Model (SEM) approach based on Partial Least Square (PLS). Data analysis techniques use descriptive statistics. The results of the analysis show that (1) there is a positive and significant influence of entrepreneurial education on entrepreneurial intention, (2) there is a positive and significant influence of entrepreneurial education on innovation, (3) there is a direct positive and significant influence of entrepreneurial education on digital literacy, (4) there is a direct positive and significant influence between the innovation variable and entrepreneurial intention, (5) There is a direct positive and significant influence of digital literacy on entrepreneurial intention, (6) There is a direct positive and significant influence between entrepreneurial education and entrepreneurial intention through innovation, (7) There is a direct positive and significant influence between entrepreneurial education and entrepreneurial intention through digital literacy. The results of this study are expected to encourage educational institutions to strengthen their entrepreneurship programs by emphasizing the aspects of innovation practice and digital literacy integration. This effort will enrich students' learning experiences, shape adaptive competencies, and continuously increase their intention to become entrepreneurs in a competitive modern business environmen
Feasibility of Spring Onion (Allium fistulosum L.) farming in the California Cialam Jaya Agrotourism Area, Tanea Village, Konda District, South Konawe Regency
No full textThis study aims to determine the productivity, income, farm feasibility, and break-even point of scallion (Allium fistulosum L.) farming in the California Cialam Jaya Agrotourism Area, Tanea Village, Konda District, South Konawe Regency. The research method used was a survey method with a quantitative descriptive approach. The data used included primary and secondary data, collected through interviews and observations with farm managers. Data analysis used included analysis of productivity, income, farm feasibility using the R/C Ratio approach, as well as Break Even Point (BEP) analysis in terms of production, revenue, and selling price. The results of the study showed that the productivity of spring onion farming was 8,400 kg/ha, with an income of Rp22,224,167 per planting season and an R/C Ratio of 2.12, indicating that spring onion farming is financially viable. The break-even point for production was 471 kg/ha, the BEP for revenue was Rp2,807,000, and the BEP for selling price was Rp4,708.53, all indicating that actual production exceeded the break-even point, thus making this farming profitable. Based on these results, spring onion farming in the study area was declared feasible and has the potential for further developmen
Analysis of Entrepreneurial Competency, Family Support For Entrepreneurial Interest Among Vocational High School Students In Mojokerto With Social Environment As A Mediating Variables
No full textThis study aims to analyze the influence of entrepreneurial competence and family support on entrepreneurial interest among vocational high school (SMK) students in Mojokerto, with social environment as a mediating variable. The background of this study is based on the importance of fostering entrepreneurial interest from an early age to encourage the creation of an independent and innovative young generation, as referred to in the Theory of Planned Behavior (TPB). The research method used a quantitative approach with Partial Least Square-Structural Equation Modeling (PLS-SEM) analysis technique. The research sample consisted of 356 vocational high school students in Mojokerto who were selected purposively. The data collection instrument was a questionnaire with a Likert scale that measured the variables of entrepreneurial competence, family support, social environment, and entrepreneurial interest. The results of the analysis showed that entrepreneurial competence had a positive and significant effect on entrepreneurial interest. Family support was also proven to have a positive and significant effect on entrepreneurial interest. In addition, the social environment acts as a mediating variable that strengthens the influence of entrepreneurial competence and family support on students' interest in entrepreneurship. These findings confirm that a combination of internal factors (entrepreneurial competence), external factors (family support), and social interaction (social environment) are important elements in building interest in entrepreneurship among vocational high school students. The practical implications of this study are the need to strengthen entrepreneurship learning programs in schools, tangible support from families, and the creation of a conducive social environment to encourage the growth of an entrepreneurial spirit among the younger generatio
Optimizing the Role of MSMEs in Driving Regional Economic Growth Through Digital Transformation and Local Technology-Based Innovation In Indonesia
No full textThis article aims to critically analyze how the strategy of optimizing the role of MSMEs in the digital economy ecosystem can encourage sustainable regional economic growth. This research uses a library research method, with narrative data analysis that emphasizes extracting, interpreting, and telling experiences or phenomena based on existing literature. The results show that optimizing the role of MSMEs in regional economic growth can be achieved through digital transformation and local technology-based innovation. Collaborative support from the government, private sector, and community is needed so that MSMEs are able to adapt, improve competitiveness, and create an inclusive and sustainable economy