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Background: Coal mining is one of the industrial sectors with broad impacts on environmental conditions and public health. Communities living near mining areas are at risk of exposure to air pollution, water contamination, ecosystem disruption, and increased disease burden, particularly respiratory illnesses. Objective: This study aims to systematically review scientific evidence on the impact of coal mining on health and the environment in communities living around mining areas in Indonesia. Methods: This literature review analyzed seven scientific publications from 2014 to 2024, obtained from university repositories and accredited national journals. Inclusion criteria included studies conducted in Indonesia, relevance to health and/or environmental issues, and complete data presentation. Each article was thematically extracted and analyzed. Results: The studies revealed that coal mining activities contribute to increased cases of ARI (acute respiratory infections), pharyngitis, digestive disorders, and even potential exposure to natural radioactivity. Environmental impacts included air pollution from coal dust, decreased water quality, and unmanaged mining residues. Some studies also highlighted significant public health costs, despite companies having obtained environmental certifications. Conclusion: The health and environmental impacts of coal mining on surrounding communities are real and multidimensional. Therefore, a cross-sectoral approach involving environmental monitoring, public education, and evidence-based policymaking is needed to minimize long-term risks.

In Indonesia, approximately 70 million people live in malaria-endemic areas, putting them at risk of transmitting the disease to others. Geographic information systems (GIS) are essential tools for mapping and visualizing spatial characteristics, as well as analyzing detailed information. GIS first developed in the late 1950s and has been used in various industries, such as oil and gas, telecommunications, as well as agriculture, forestry, and green open spaces (RTH). This study employed a narrative literature review method, synthesizing previously published information on GIS in green open spaces. The results showed that the classification of aerial imagery using GIS can be divided into two main classes: 'private green spaces' and 'others'. This study focused on finding a significant amount of urban green space in informal settlements, which cover more than 10% of the area. The increase in the number of informal settlements is directly proportional to the increase in private green space. The study also noted that poor communities have access to urban green spaces, which can improve their quality of life. Identification and management of green spaces in informal settlements can strengthen residents' self-confidence and reduce the gap between formal and informal areas in cities.

This study examines the potential for digital branding transformation of Mitra Havana Sulung Mandiri, a construction service company in East Java, through the utilization of TikTok as a promotional platform. Using observations and interviews, the research identified strong visual content opportunities from the company’s activities, such as documenting construction progress, showcasing before-and-after project visuals, and sharing client testimonials. These elements offer significant storytelling potential for engaging online audiences. However, several internal barriers hinder optimal implementation. These include limited digital literacy among staff, inadequate content creation tools, and the absence of standardized procedures for producing and publishing content. Externally, skepticism toward social media marketing in the construction sector and the unpredictability of TikTok’s algorithm also create challenges. Thematic analysis revealed three primary needs: maximizing existing visual assets to create compelling narratives, enhancing internal capacity through targeted digital training, and developing a culture that supports continuous digital engagement. To address these, the study proposes an initial strategy involving educational content, behind-the-scenes videos, and a clear content production guide. In addition, it suggests forming a dedicated social media team, running a 30-day continuous content campaign, and collaborating with local creators to expand reach. These recommendations align with existing literature on the role of short-form video in increasing brand awareness, credibility, and trust in service-oriented industries. By integrating strategic content planning, capacity building, and consistent online engagement, construction SMEs can position themselves competitively in the evolving digital marketplace. The case of Mitra Havana Sulung Mandiri demonstrates that even in traditionally offline industries, leveraging TikTok can offer a pathway toward brand differentiation and long-term audience growth.

This study explores the development and application of a digital twin-driven cybersecurity risk assessment model for Industrial Internet of Things (IIoT) networks. The increasing complexity and interconnectivity of IIoT systems have expanded the attack surface, making them vulnerable to a wide range of cyber threats. The digital twin model addresses this challenge by creating real-time virtual replicas of physical systems, which can simulate and predict network vulnerabilities and attack vectors. The model uses machine learning algorithms and real-time data to simulate cyberattacks, including Distributed Denial of Service (DDoS), malware, and data breaches. By providing continuous monitoring and dynamic risk predictions, the digital twin model enhances the resilience of IIoT networks compared to traditional cybersecurity frameworks. The findings indicate that the model's ability to predict potential cyber threats and simulate various attack scenarios provides a more proactive and accurate approach to cybersecurity in IIoT environments. Additionally, the study highlights key mitigation strategies, including adaptive security mechanisms, real-time anomaly detection, and the use of lightweight encryption for resource-constrained devices. Despite its effectiveness, challenges such as computational requirements, integration with legacy systems, and scalability were identified. This research underscores the strategic importance of digital twin models in securing IIoT systems and advancing Manufacturing 4.0 ecosystems. Future research should focus on enhancing model accuracy, expanding its application to diverse industrial sectors, and improving interoperability with legacy systems to further strengthen the security posture of IIoT networks.

Penelitian ini bertujuan untuk mengidentifikasi dan menganalisis faktor-faktor yang mempengaruhi pelayanan kendaraan pada Satuan Angkutan Akademi Angkatan Laut (AAL) serta merumuskan strategi peningkatan pelayanan kendaraan guna mengoptimalkan tugas pokok organisasi. Dengan menggunakan analisis SWOT, penelitian ini mengevaluasi kekuatan, kelemahan, peluang, dan ancaman yang ada dalam pengelolaan kendaraan dinas di AAL. Hasil penelitian menunjukkan adanya permasalahan seperti kekurangan personel terutama pengemudi, jumlah kendaraan yang terbatas karena ada beberapa kendaraan yang rusak ringan atau rusak berat, dan fasilitas lahan parkir kendaraan atau garasi serta fasilitas pemeliharaan dan perbaikan kendaraan kurang memadai. Dari analisis menggunakan SWOT, maka diperoleh kesimpulan yang meliputi: (a) Melakukan penambahan personel pengemudi dengan cara rekrutmen TNI AL dari lulusan SMK (b) Mengadakan penambahan jumlah armada kendaraan serta kenjasama dengan industri otomotif (c) Melakukan penambahan fasilitas garasi atau parkir kendaraan serta bengkel pemeliharaan dan perbaikan kendaraan berdasarkan dukungan kebijakan pengadaan aset kendaraan. Penelitian ini diharapkan dapat memberikan rekomendasi bagi manajemen AAL untuk meningkatkan kualitas pelayanan kendaraan, sehingga mendukung efektivitas pelaksanaan tugas pokok AAL.

The Geothermal Power Plant (PLTP) project in Batukuwung Village, Padarincang District, Serang Regency, has raised concerns among the community about the threat of environmental damage and the disruption of the sustainability of local agricultural systems. During this time, the community relies on traditional agriculture that is closely tied to local social, cultural and ecological values. This research aims to assess the social and ecological impacts of the PLTP project on the lives of village communities. The method used is a descriptive qualitative approach with a case study, through purposive sampling techniques for in-depth interviews with affected residents, as well as online media analysis. The results show that the presence of the project has created ecological and social vulnerabilities, especially disruptions to water and land access, and narrowed the space for community participation in decision-making. The findings show that the clean energy narrative is not always in line with the reality on the ground. This research emphasizes the importance of the principles of ecological justice and local community sovereignty in energy development policies, especially in areas that depend on natural sustainability.  

Penelitian ini menganalisis kontribusi dan daya saing industri manufaktur di Kabupaten Sidoarjo, mengidentifikasi faktor-faktor yang memengaruhinya, serta mengkaji tantangan yang dihadapi. Menggunakan pendekatan deskriptif kuantitatif, data sekunder dari laporan pemerintah dan jurnal relevan diolah. Hasil menunjukkan industri manufaktur merupakan sektor utama dengan kontribusi signifikan terhadap PDRB Sidoarjo, meningkat dari 48,2% (2019) menjadi 50,8% (2023). Daya saing industri tinggi, terutama di sentra industri seperti Waru, Gedangan, Taman, dan Krian. Tantangan utama meliputi keterbatasan akses teknologi bagi IKM, masalah permodalan, kualitas SDM yang belum optimal, dan isu lingkungan. Rekomendasi penelitian meliputi peningkatan dukungan pemerintah daerah terhadap IKM, adopsi teknologi ramah lingkungan, dan peningkatan kualitas SDM untuk memperkuat daya saing dan keberlanjutan industri manufaktur di Sidoarjo.

Pertumbuhan ekonomi adalah proses perubahan berkesinambungan menuju kondisi yang lebih baik, diwujudkan melalui kenaikan kapasitas produksi dan pendapatan nasional. Di Jawa Timur, permasalahan utama pembangunan daerah adalah ketidakmerataan distribusi sumber daya manusia (SDM) yang terpusat di kota-kota industri, menghambat optimalisasi pengelolaan kekayaan alam dan kebijakan pemerintah daerah. Untuk mendorong pembangunan ekonomi, diperlukan informasi mengenai potensi daerah dan keterkaitan antara sektor ekonomi yang kurang maju dengan sektor unggulan. Salah satu sektor yang memiliki peranan krusial adalah industri manufaktur, khususnya industri logam, yang secara konsisten menjadi penyumbang signifikan terhadap Produk Domestik Regional Bruto (PDRB) Jawa Timur dan menjadi penggerak industrialisasi serta penciptaan lapangan kerja. Penelitian ini bertujuan menganalisis peran industri manufaktur logam dalam pertumbuhan ekonomi Jawa Timur, dampaknya terhadap sektor lain, serta prospek dan kendala yang dihadapi. Menggunakan pendekatan deskriptif kuantitatif dengan data deret waktu dari BPS, penelitian ini mengidentifikasi sektor-sektor unggulan dan kendala struktural yang perlu diatasi untuk pembangunan ekonomi yang berkelanjutan.

Background: The rapid advancement of digital technologies in the Industry 4.0 era has transformed industrial mechanical systems into highly interconnected and data driven environments through the integration of sensors, the Internet of Things (IoT), data analytics, and cyber physical systems. This increasing complexity requires more adaptive and accurate monitoring and prediction methods than conventional simulation approaches, which often face limitations in capturing real time dynamic system behavior. Objective: This study aims to develop a predictive performance model for industrial mechanical systems by integrating Digital Twin technology with Physics Informed Machine Learning in order to improve monitoring accuracy and support predictive maintenance strategies. Methods: This research adopts a data driven modeling and simulation approach by developing a digital representation of an industrial mechanical system that is connected to real time sensor data. The prediction model is constructed using a Physics Informed Neural Network (PINN), which integrates operational data with physical principles governing system dynamics. The research process includes the development of a Digital Twin model, integration of sensor data, training of the PINN model, model validation using experimental data, and evaluation of prediction performance using statistical metrics. Results: The results indicate that the integration of Digital Twin technology and PINN significantly improves the prediction accuracy of industrial mechanical system performance compared with conventional simulation methods and purely data driven machine learning models. The proposed model is capable of representing system dynamics more consistently, accurately following sensor data patterns, and providing strong potential for supporting machine condition monitoring and predictive maintenance strategies in modern industrial environments.

Persaingan yang semakin kompetitif dalam industri wedang uwuh di Imogiri mendorong UMKM Taruna Agro Nusantara untuk berinovasi melalui produk wedang uwuh siap saji dalam kemasan paper cup yang diharapkan dapat meningkatkan daya saing. Penelitian ini bertujuan untuk mengetahui preferensi konsumen terhadap atribut kemasan wedang uwuh. Metode penelitian yang digunakan adalah mixed method. Pendekatan kualitatif dilakukan melalui diskusi dengan pemilik UMKM dan pakar desain untuk merumuskan atribut kemasan. Selanjutnya, pendekatan kuantitatif dilakukan melalui analisis konjoin untuk mengetahui kombinasi atribut yang paling disukai konsumen. Atribut kemasan yang dipilih yaitu slogan, warna, informasi produk, dan ukuran kemasan yang kemudian ditentukan level atributnya. Dari 9 level atribut menghasilkan 54 stimuli yang kemudian direduksi menjadi 9 stimuli menggunakan  orthogonal array. Data yang diperoleh menunjukkan bahwa Persentase tingkat penerimaan responden terhadap stimuli tertinggi yaitu pada stimuli 4 sebesar 78%  kategori tinggi dengan kombinasi slogan “manfaat terasa, tradisi terjaga”, berwarna merah, menggunakan Bahasa Indonesia dan Bahasa Inggris, serta berukuran 240 ml. Nilai kepentingan tertinggi terdapat pada atribut ukuran dengan nilai 47,147. Nilai kegunaan tertinggi untuk atribut slogan adalah “kehangatan dalam tiap genggaman”, atribut warna terdapat pada warna merah, atribut informasi terdapat pada informasi yang menggunakan bahasa Indonesia dan Inggris, sedangkan nilai kegunaan tertinggi dalam atribut ukuran yaitu pada ukuran 240 ml. Penelitian ini diharapkan dapat menjadi dasar pengembangan produk wedang uwuh siap saji yang lebih inovatif dan sesuai dengan selera pasar.

Industri kerajinan kulit di Tanggulangin, Kabupaten Sidoarjo, Jawa Timur, telah lama dikenal sebagai sentra produksi yang signifikan, berkontribusi pada peningkatan ekonomi lokal dan penyerapan tenaga kerja. Penelitian ini menganalisis peran, tantangan, dan strategi pengembangan UMKM kerajinan kulit di Tanggulangin terhadap penyerapan tenaga kerja. Metode penelitian kuantitatif deskriptif berbasis data sekunder digunakan, dengan pengumpulan data dari kuesioner, wawancara, observasi lapangan, dan dokumentasi. Hasil penelitian menunjukkan bahwa industri ini mendominasi dalam hal hasil produksi kerajinan kulit dan penyerapan tenaga kerja di Sidoarjo, dengan keahlian yang diwariskan secara turun-temurun dan kualitas produk yang mampu bersaing di pasar internasional. Namun, industri ini menghadapi tantangan besar seperti kesulitan akses permodalan, persaingan produk pabrikan/impor, keterbatasan akses pasar digital, kurangnya inovasi desain, kualitas SDM yang terbatas, akses bahan baku tidak stabil, kurangnya dukungan teknologi, dan minimnya regenerasi pelaku usaha. Penelitian ini merumuskan strategi pengembangan UMKM yang meliputi fasilitasi bahan baku, pelatihan tenaga kerja, perluasan akses pasar dan permodalan, peningkatan keterampilan manajerial, penyederhanaan perizinan, dan peningkatan kualitas produk. Dukungan pemerintah melalui pemberian modal, fasilitas rantai pasok, bantuan peralatan modern, perlindungan usaha, serta pelatihan SDM sangat krusial untuk keberlanjutan industri ini sebagai pilar ekonomi lokal dan nasional.

The government's efforts to reduce domestic violence (KDRT) in North Maluku Province have been carried out, among others, through the implementation of women’s empowerment programs. This study aims to examine whether the Gender Empowerment Index (IDG), Gross Regional Domestic Product (GRDP) percapita, women's involvement in home-based industries (IR), and the intensity of domestic violence socialization programs have a significant effect on domestic violence rates across districts/cities in North Maluku. This research utilizes panel data regression analysis with data spanning the years 2016–2024. The data were processed using Microsoft Excel and STATA14 software. The findings indicate that the increased participation of women in the economic and political sectors has not yet fully translated into a reduction in domestic violence, largely due to persistent social norms and patriarchal values within households. This suggests that economic factors alone are not sufficient to explain the prevalence of domestic violence. However, women's involvement in home-based industries was found to significantly improve their economic independence and bargaining power within the household. Furthermore, consistent government-led domestic violence awareness campaigns have proven effective in enhancing protection mechanisms for women at risk. In conclusion, the study finds that the Gender Empowerment Index (IDG) and GRDP per capita do not have a statistically significant impact on domestic violence rates. Conversely, women's participation in home-based industries and domestic violence socialization efforts are significantly associated with reductions in domestic violence in North Maluku Province.

The transformation of settlement patterns in Ciwandan District, Cilegon City, is a consequence of massive industrial expansion over the past two decades. This change has resulted in the conversion of coastal agricultural land into high-density urban-industrial areas with heterogeneous settlement characteristics. This study aims to describe population dynamics, spatial structure changes, and their impact on the quality of life of the community. The approach used is descriptive qualitative with a literature review method. The findings indicate that the increase in population, particularly the working-age population, is accompanied by the growth of informal housing and pressure on basic infrastructure such as sanitation, clean water, and green open spaces. The imbalance between industrial growth and the provision of public services has created various social and ecological challenges. Therefore, there is a need for the integration of spatial planning policies, adaptive infrastructure development, and partnerships between the government, the community, and the industrial sector to create livable and sustainable residential areas.

Reda dragon fruit (Hylocereus polyrizhus) peel, which is often discarded as waste, contains pectin that has potential to be used in the food industry.  This review article aims to examine the effect of microwave-assisted extraction (MAE) technology on the results of pectin extraction from red dragon fruit peel. A review was conducted on four main scientific articles discussing MAE for pectin extraction from dragon fruit peel, focusing on the chemical composition aspect and the effect of MAE technology on the extraction results. MAE technology has been shown to significantly increase extraction efficiency compared to conventional methods, with parameters such as pH, extraction time, and solid-liquid ratio affecting the extraction results. One potential application of dragon fruit peel pectin is as a base material for environmentally friendly edible films with functional added value. Formulation optimization and further testing are needed to develop the application of dragon fruit peel pectin on an industrial scale.

Aceh’s economy has long been dominated by the oil and gas sector, particularly LNG Arun exports, which contributed more than 40% of regional GDP (GRDP) in the early observation period. However, declining production after 2014 drastically reduced its share to below 20%, and in recent years, to only around 10–12%. This study aims to analyze the contribution of oil and gas (migas) and non-oil and gas (nonmigas) exports to Aceh’s economy and to assess the potential of export diversification as a sustainable development strategy. The research employs a quantitative approach using secondary time series data from 2007–2021 obtained from BPS, Bank Indonesia, and other official sources. Data were analyzed descriptively and through simple econometric models, including OLS regression and cointegration tests. The findings reveal that oil and gas exports are significant in the short term but have weakened in the long term. In contrast, non-oil and gas exports, although relatively small, exhibit stable growth and demonstrate a long-term relationship with GRDP. These results underscore the importance of diversifying exports towards nonmigas commodities, particularly coffee, cocoa, rubber, and fisheries. The practical implication is the urgent need for Aceh’s development strategy to shift from oil and gas dependence towards globally competitive nonmigas industrialization

The industrial revolution 4.0 has begun to develop in aquaculture activities by utilizing the internet of things (IoT) in the last decade. The increase in intensive shrimp farming on Bangka Island in recent years is still conventional witfar from the use of digital and internet-based technology, especially vaname shrimp farming, including the Bio Ebi Micro Pokdakan in Air Mawar Village. This activity aims to design a water quality monitoring system that can be used in vaname shrimp aquaculture ponds. The main components in designing a remote-based pond water quality monitoring system consist of sensors, processing, data transmission, data storage and display. The activity has started with the design of a water quality monitoring tool in October - November 2022 in the Instrumentation and Acoustics Section of the Marine Science Laboratory at Bangka Belitung University which is then used by partners to monitor water quality conditions in shrimp ponds at Pokdakan Mikro Bio Ebi partners

This study aims to analyze the relationship between the number of industrial companies, both large-medium and micro-small, with labor absorption in Sidoarjo Regency during the period 2020 to 2023. Sidoarjo Regency, which has a rapidly growing industrial sector, is the location of the study with a focus on the contribution of the industrial sector to reducing unemployment and improving community welfare. The results of the study show that the number of large-medium industrial companies has a significant effect on labor absorption, especially in sectors that require skilled labor. Meanwhile, micro-small industries tend to absorb lower-skilled labor, with most of them in the informal sector. Although there has been an increase in the number of industries, its impact on labor absorption is not always comparable, this is influenced by external factors such as government policies, technological developments, and the quality of the available workforce. Labor absorption also differs by age group, with younger age groups being absorbed more in micro-small industries and older age groups being absorbed more in large-medium industries. This study also shows that sub-districts with better infrastructure have higher labor absorption rates. The suggestion from this research is to improve policies that support equitable industrial development, as well as strengthen skills training programs according to industry needs to increase labor absorption.  

This study aims to analyze how negative and positive externalities influence the effectiveness of public economic policies at the regional level. Using a qualitative approach and descriptive-analytical method, the research was conducted in Tanjungpinang City through document studies, focus group discussions (FGDs), and content analysis of policy documents and scholarly literature. The findings reveal that negative externalities such as environmental pollution, traffic congestion, and industrial waste have not been optimally addressed due to weak regulation and limited policy evaluation. Conversely, positive externalities like the development of green open spaces and the provision of public education lack adequate fiscal support. Public policy interventions are predominantly disincentive-based, such as taxation and sanctions, while mechanisms to incentivize socially beneficial activities remain limited. These findings are examined through the lenses of Pigouvian Tax and Coase Theorem, emphasizing the need for evidence-based policies that internalize externalities fairly and efficiently. The study recommends improving regulatory frameworks, implementing strategic fiscal incentives, and enhancing public literacy in externality management.

The micro, small, and medium enterprises (MSMEs) sector plays a vital role in sustaining the national economy, particularly in food security and employment absorption. However, this sector remains highly vulnerable to economic disruptions, including large-scale layoffs in the industrial sector. This study aims to examine the socio-economic impacts of layoffs on the sustainability of traditional fish processing businesses. A descriptive qualitative approach was employed, with data collected through semi-structured interviews with a traditional fish processor who has operated since 1990 in Tanjung Morawa, Deli Serdang, North Sumatra. The findings reveal that layoffs have led to a significant decline in consumer purchasing power, resulting in a drop in daily production volume (from 20 to 5–8 baskets) and increased waste due to unsold inventory. The lack of innovation, absence of adaptive strategies, and minimal external support have further exacerbated the business’s vulnerability. Therefore, policy interventions and capacity-building programs are essential to enhance the resilience of MSMEs amid labor market fluctuations.  

This study uses a qualitative method to analyze the integration model of Supply Chain Management (SCM) in the manufacturing-service industry, focusing on a case study in the automotive sector. SCM integration in this context involves the coordination of production processes, distribution, and after-sales services to enhance efficiency and responsiveness to customer demands. Data were collected through in-depth interviews and direct observations at an automotive company implementing integration strategies between manufacturing and service operations. The findings show that cross-functional collaboration among suppliers, manufacturers, and service providers plays a vital role in creating an adaptive supply chain. Digital integration through connected information systems also significantly accelerates decision-making and improves overall supply chain visibility. This study highlights the importance of a holistic approach encompassing technical, organizational, and inter-partner relationship aspects. The results are relevant for automotive companies aiming to strengthen competitiveness through cross-sector SCM integration and serve as a reference for developing industrial policies that support collaboration between manufacturing and service actors in the Industry 4.0 era.