Policy Implementation of The Climate Village Program (Proklim) in Cisaranten Kulon Urban Village, Arcamanik Sub-District, Bandung City

2026-01-14T19:57:29+07:00

The Climate Village Program (ProKlim) is a national government initiative implemented at the local level to address climate change impacts through community-based adaptation and mitigation. Cisaranten Kulon Urban Village, Arcamanik Sub-District, Bandung City, is one of the areas designated for ProKlim implementation. However, the implementation of this program has encountered several challenges, including limited human and financial resources, low levels of community participation, insufficient technical assistance from the Environmental Agency (DLH), a budget that relies heavily on community contributions, and the absence of a formal Letter of Task that regulates the division of roles and responsibilities among program administrators. This study aims to describe the implementation of the Climate Village Program in Cisaranten Kulon Urban Village, identify obstacles encountered during policy implementation, and analyze the efforts undertaken to address these challenges. The analysis is based on the policy implementation theory of George C. Edward, which emphasizes four key indicators: communication, resources, disposition, and bureaucratic structure. A qualitative research approach was employed, with informants selected through purposive sampling. Data were collected through observation, in-depth interviews, and documentation. The findings indicate that the implementation of ProKlim in Cisaranten Kulon has been carried out but remains suboptimal. Program socialization has not fully reached all community members, resulting in limited public understanding of concrete implementation measures. Limited technical guidance from DLH has required local administrators to manage program activities independently. Budget constraints have restricted the scale and continuity of activities, while the absence of a formal Letter of Task has weakened coordination and clarity of responsibilities among stakeholders. Efforts to overcome these challenges include providing incentives for program administrators, strengthening collaboration with universities and environmental communities, seeking support through corporate social responsibility (CSR) schemes, and coordinating with DLH to clarify roles and responsibilities through the issuance of a formal Letter of Task.

Optimizing Artificial Intelligence for the Use of Learning Management Systems at STMIK Mardira Indonesia

2026-06-15T11:23:13+07:00

This comprehensive research investigation aims to systematically explore and analyze the implementation of Artificial Intelligence (AI) technologies to optimize and enhance the usage of Learning Management System (LMS) at STMIK Mardira in Indonesia. The study employs a rigorous mixed-method approach combining qualitative and quantitative data collection techniques to provide triangulated findings. A total of 150 undergraduate students and 25 full-time faculty members participated in this research through structured questionnaires, semi-structured in-depth interviews, direct classroom observation, and focus group discussions. The comprehensive findings indicate that integrating AI-powered technological features such as personalized learning paths, automated intelligent feedback systems, and adaptive intelligent tutoring significantly improves overall student engagement by 45%, substantially reduces learning time requirements by 38%, and dramatically enhances overall academic performance achievements by 32%. Additionally, faculty workload burden decreases substantially by 40% through comprehensive automation of grading systems and administrative tasks, liberating valuable faculty time for meaningful pedagogical activities. The study strongly recommends establishing comprehensive training programs for educators and implementing phased systematic implementation of AI features to ensure sustainable long-term adoption and institutional success. This significant research contributes substantially to the growing body of knowledge regarding how AI and machine learning technologies can effectively optimize educational technology platforms in higher education institutions, particularly within the Indonesian context.

Social Impact Journal

Policy Implementation of The Climate Village Program (Proklim) in Cisaranten Kulon Urban Village, Arcamanik Sub-District, Bandung City

Optimizing Artificial Intelligence for the Use of Learning Management Systems at STMIK Mardira Indonesia