Densely populated coastal settlements face dual vulnerabilities in the form of the threat of hydrometeorological disasters and limited capacity for managing household waste, especially organic waste which dominates the generation. This community service activity aims to strengthen the capacity of human resources (HR) and community institutions in Tambakrejo Village, Gayamsari District, Semarang City, in implementing circular economy-based waste management and producing value-added products. Program partners include the Berkah Jaya 07 Waste Bank (RW 7), the waste management group and the Climate Village Program (ProKlim) of RW 5, and the Lestari Jaya Farmers Group. The program will be implemented throughout 2026 through five stages, namely socialization and coordination, technical training, technology transfer and facility facilitation, pilot studies, and mentoring and evaluation. The intervention is supported by the provision of 4 composter units, 5 planter bags, 2 cage packages and 20 laying hens, 200 sorting bags made from used sacks, and 1 product showcase unit. The implementation results show the formation of a partial organic material reuse chain from the source through processing into compost, eco-enzymes, alternative feed, and craft products made from used materials. The integration of waste management, food production, and value-added product development contributes to strengthening institutional capacity, environmental resilience, food security, and economic opportunities for coastal communities. This program supports the achievement of SDGs 2, 11, 12, 13, and 17 through a collaborative approach and a community-based circular economy.
This article examines how of political memory shapes downstreaming policies and Indonesia’s energy transition. Existing studies on downstreaming mainly emphasize political economy, industrialization, foreign investment, and geopolitical competition over strategic minerals. However, the historical experience of colonial extraction and long-term economic dependence also plays an important role in shaping contemporary energy policy. This study argues that Indonesia’s downstreaming and energy transition agendas are driven by economic growth and industrial objectives, but also by collective memories of Indonesia’s historical role as a global raw material supplier. The study uses a qualitative interpretive approach through document analysis of presidential speeches, downstreaming regulations, Energy Law, the RPJMN, and other official state documents on energy and strategic minerals. The findings demonstrate that narratives such as “energy sovereignty,” “downstreaming,” and “raw material export bans” symbolize state efforts to escape colonial extractive structures. Downstreaming is framed as both a historical correction and a source of national pride within the green energy transition. Nevertheless, Indonesia’s green industrialization remains heavily dependent on foreign investment and technology, particularly from China, revealing the paradox between resource nationalism and contemporary global dependency.
Learning in pesantren is often perceived as a traditional system that lags behind modern educational institutions. However, various digitalization efforts have been undertaken as a form of adaptation to the advancement of science and technology. Nevertheless, studies on podcast-based learning in pesantren remain limited. This study aims to analyze the implementation of podcast-based learning, its implications for the learning process, and the challenges faced at Pesantren Darul Ilmi. This research employs a qualitative approach, with data collected through interviews, observations, and documentation involving the pesantren leader, assistant teachers, and students. Data analysis was conducted through data reduction, data display, and conclusion drawing. The findings reveal that podcast-based learning functions as a complementary medium that supports conventional methods such as lectures, simulations, and role-playing. Its implications include enhancing students’ knowledge, strengthening social education, and expanding the promotion of the pesantren through digital media. However, its implementation still faces limitations in resources and the absence of dedicated management. These findings highlight the importance of strengthening management systems to ensure the sustainability of digital learning innovation in pesantren.
The increase in global carbon dioxide (CO 2 ) emissions highlights the urgent need to shift to a low-carbon energy system, where green hydrogen offers a strategic, clean, and sustainable solution. Indonesia has high potential for solar and wind energy, which can be combined through a hybrid PV-wind turbine on-grid system to support green hydrogen production. However, tropical weather variability presents challenges to power stability and electrolyzer efficiency. This study combines a systematic meta-analysis approach with deep learning-based predictive modeling to assess the technical and economic performance of such systems in tropical Indonesia. A meta-analysis of 52 global studies shows that electrolyzer capacity factor is the most critical factor affecting hydrogen production cost (LCOH), with a strong negative correlation (R 2 = 0.92). Meteorological data from Tardamu Station, Kupang (2010-2025), were used to train three recurrent neural network models-namely RNN, LSTM, and GRU-to forecast solar radiation (SS) and wind speed (FF_AVG). The evaluation indicates that the RNN achieves the highest accuracy, with MSE = 0.0099, RMSE = 0.0994, and R 2 = 0.9988, outperforming both the LSTM and the GRU. Seasonal forecasts for 2025-2045 confirm that RNN remains stable against longterm climate variations. Energy simulations estimate a total annual output of 23,937.7 kWh, with an average surplus of 78.9%, supporting the production of 0.4054 kg H 2 /day at a LCOH of USD 2.84/kg. This study demonstrates that integrating meta-analysis with deep learning improves the prediction accuracy and economic feasibility of a hybrid PV-wind-hydrogen system in tropical climates. The RNN-based approach is recommended as an adaptive prediction tool for real-time optimization and long-term planning toward Net Zero Emissions by 2060 in Indonesia.
Students with disabilities encounter sensory, communication, cognitive, and behavioral barriers when learning the Qur’an through conventional pesantren instruction. This study analyses how Qur’anic learning methods are adapted to different learner characteristics, identifies observable learning-achievement indicators, and examines the supporting and constraining factors at Nurul Maksum Inclusive Islamic Boarding School, Semarang. The study employed a qualitative single-case study with embedded units of analysis comprising learners with visual, hearing, and behavioral-emotional disabilities. Data were collected on 19 May 2025 through classroom observation, semi-structured interviews with the pesantren leader, teachers, and participating students, and document analysis. The findings reveal a differentiated instructional pattern: Braille Qur’ans supported tactile recognition of hijaiyah letters and independent verse reading among blind students; oral-articulation guidance, SIBI signs, and the Abata sequence supported visual recognition, letter formation, guided reading, memorization, and review among deaf students; while the Fasih Al-Qur’an habituation model supported memorization, regular review, discipline, and behavioral regulation among students with behavioral-emotional difficulties. The study contributes an empirically grounded adaptation matrix that can guide pesantren in designing disability-responsive Qur’anic instruction. Practically, it implies the need for individual learning profiles, teacher training in Braille and sign-supported communication, accessible learning materials, and periodic progress documentation.
