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Population growth and changing consumption patterns have led to a continuous increase in waste generation, with household organic waste being the dominant component in Bantul Regency. Low levels of public knowledge and awareness regarding waste management are also contributing factors. One environmentally friendly alternative for organic waste management is the use of Black Soldier Fly (BSF) larvae, which have high bioconversion capabilities. This community service activity aims to increase the knowledge of housewives in managing household organic waste using BSF maggots. The activity was carried out in RT 01, Mojosari Hamlet, Baturetno Village, Banguntapan District, Bantul Regency, involving 20 participants. The implementation method included a site survey, material delivery, an introduction to the life cycle and benefits of BSF maggots, an explanation of waste sorting, maggot feeding, and post-activity observations. However, limitations in maggot maintenance techniques persisted, requiring ongoing mentoring. This activity contributes to reducing waste generation at its source and supports sustainable household waste management based on community participation.

Population growth and changing consumption patterns have led to a continuous increase in waste generation, with household organic waste being the dominant component in Bantul Regency. Low levels of public knowledge and awareness regarding waste management are also contributing factors. One environmentally friendly alternative for organic waste management is the use of Black Soldier Fly (BSF) larvae, which have high bioconversion capabilities. This community service activity aims to increase the knowledge of housewives in managing household organic waste using BSF maggots. The activity was carried out in RT 01, Mojosari Hamlet, Baturetno Village, Banguntapan District, Bantul Regency, involving 20 participants. The implementation method included a site survey, material delivery, an introduction to the life cycle and benefits of BSF maggots, an explanation of waste sorting, maggot feeding, and post-activity observations. However, limitations in maggot maintenance techniques persisted, requiring ongoing mentoring. This activity contributes to reducing waste generation at its source and supports sustainable household waste management based on community participation.

The main problem in Longko Village is the low utilization of coconut husk waste due to limited community knowledge and processing skills, resulting in the waste being discarded or burned without economic value. This Community Service Program aimed to empower the community through innovative processing of coconut husk into environmentally friendly and marketable broom products. The program employed a participatory approach consisting of observation, socialization, technical training, mentoring, and evaluation, involving six participants from farming households and housewives. Evaluation was conducted by assessing participants’ skills and the quality of the products produced. The results showed a significant improvement in participants’ technical competencies, as indicated by an increase in knowledge from 30% to 90% and practical skills from 25% to 80%. Most participants were able to independently produce at least one coconut husk broom with acceptable functional quality. Furthermore, the program enhanced participants’ understanding of the economic potential of coconut husk and created opportunities for sustainable household-based enterprises utilizing local resources.

The global reliance on wheat flour has prompted the food industry to seek sustainable local substitutes. Sweet potato (Ipomoea batatas L.) emerges as a potential candidate due to its substantial starch content and beneficial bioactive compounds. This study explores innovations in sweet potato flour processing, emphasizing physical, chemical, and enzymatic modifications to enhance its functional properties. The research methods include hydrothermal treatments and fermentation (Modified Sweet Potato Flour/MOSPEF) and their impact on dough rheology and glycemic response. The findings indicate that modified sweet potato flour can effectively replace wheat flour by 30-50% in bakery items and up to 100% in gluten-free formulations without significantly altering sensory traits. This innovation represents a strategic step toward national food sovereignty and improved nutritional quality in the modern food industry, healthier and more nutritious. The use of modified sweet potato flour is expected to strengthen food security and provide economic benefits for local farmers and the domestic food industry.

Pertumbuhan kawasan industri sebagai dampak urbanisasi turut mendorong peningkatan aktivitas ekonomi di Indonesia. Kawasan Industri Candi di Kota Semarang menjadi salah satu contohnya, namun belum sepenuhnya ditunjang oleh infrastruktur yang memadai. Penelitian ini bertujuan mengevaluasi tingkat kepuasan dan prioritas pemenuhan infrastruktur berdasarkan persepsi pekerja. Penelitian menggunakan pendekatan kuantitatif melalui survei terhadap 100 pekerja dari 111 perusahaan, dengan teknik multi-stage random sampling. Analisis data dilakukan menggunakan metode Customer Satisfaction Index dan Importance Performance Analysis. Hasil menunjukkan bahwa dari total infrastruktur yang dianalisis, sebelas telah memenuhi standar, empat cukup memenuhi, dan satu belum memenuhi pedoman teknis kawasan industri. Tingkat kepuasan pekerja terhadap ketersediaan dan kondisi infrastruktur mencapai 72% (kategori puas), sedangkan tingkat kesesuaian antara kepentingan dan kepuasan sebesar 99%. Meski demikian, lima infrastruktur jaringan jalan, jaringan air bersih, sistem pengolahan sampah, unit pemadam kebakaran, dan sarana Kesehatan masih memerlukan pemenuhan atau perbaikan segera. Temuan ini menjadi dasar rekomendasi bagi pengelola dan pemerintah untuk memprioritaskan pemenuhan infrastruktur, guna mendukung keberlangsungan industri dan kesejahteraan pekerja secara optimal.

Organic waste is one of the major environmental problems caused by household activities. Improper waste management leads to environmental pollution and health risks. This community service activity aimed to educate and train the community in processing organic waste into ecoenzymes as a multifunctional and environmentally friendly product. The method used included socialization, training, and direct assistance to the community in producing ecoenzymes from fruit and vegetable waste through fermentation. The results showed that the community was able to understand the benefits and production process of ecoenzymes and began implementing them in daily life and agriculture. Ecoenzymes can be used as natural cleaning agents, plant fertilizers, and pest repellents. This activity contributes to reducing organic waste and improving environmental awareness and sustainable agriculture practices.

Tantangan utama yang dihadapi warga Kelurahan Pesantren, Kota Semarang adalah belum optimalnya pengelolaan limbah lingkungan rumah tangga, khususnya minyak jelantah, yang berpotensi menimbulkan pencemaran dan masih kurang dimanfaatkan secara ekonomi. Program ini bertujuan untuk meningkatkan kesadaran lingkungan, keterampilan kewirausahaan, dan kemandirian ekonomi masyarakat dengan inovasi ekonomi kreatif. Tahapan pelaksanaannya meliputi observasi dan identifikasi masalah, perencanaan program partisipatif, pelaksanaan lokakarya, pendampingan, dan evaluasi keberlanjutan. Kegiatan program terdiri dari pendidikan kewirausahaan, pelatihan langsung pengolahan minyak jelantah menjadi lilin aromaterapi, dan peningkatan kapasitas dalam pembuatan konten digital dan pemasaran digital melalui media sosial dan pasar online. Hasil evaluasi menunjukkan adanya peningkatan signifikan dalam pengetahuan dan minat berwirausaha di kalangan ibu-ibu PKK, yaitu meningkat dari 40% sebelum program menjadi 80% setelah lokakarya. Secara keseluruhan, program ini efektif meningkatkan keterampilan pengelolaan sampah ramah lingkungan dan mendukung pengembangan ekonomi kreatif berbasis lokal.

The increasing consumption of plastic, particularly single-use packaging, has led to a significant rise in household plastic waste, which poses a potential threat to environmental sustainability. One type of waste that remains underutilized is metallic plastic packaging. This Community Service activity aimed to enhance community knowledge and skills in processing metallic plastic packaging waste into handicraft products with functional value and economic potential. The activity was conducted in collaboration with the Family Welfare and Empowerment Group (PKK) of Ngringo Village, Karanganyar, involving 15 participants. The methods employed included a preliminary survey, educational outreach, hands-on practical training, and continuous mentoring. The effectiveness of the program was evaluated using pre-test and post-test assessments analyzed through the normalized gain (N-gain) method. The results demonstrated an improvement in participants’ knowledge and skills following the training, with an average N-gain value of 0.68, which falls within the moderate-to-high category. These findings indicate that the metallic plastic packaging waste processing training was effective in enhancing community capacity. Furthermore, the activity not only contributed to reducing plastic waste generation but also promoted the implementation of circular economy principles.

Appropriate Technology Training (TTG) in Tambah Dadi Village, Purbolinggo Subdistrict aims to improve the community's understanding and ability to manage livestock waste more efficiently.  Often, livestock waste produced in this village is not utilized properly.  Training participants will be introduced to various waste management methods that can be used as sources of organic fertilizer and organic compost. The training includes awareness-raising, demonstrations, and hands-on practice in processing waste into useful products such as organic fertilizer. The results of the training show that participants are able to make organic fertilizer from livestock waste.  It is hoped that this activity will serve as an example for other villages to manage livestock waste in a more sustainable manner, which will improve agricultural and livestock yields in the area and increase the welfare of farmers in Tambah Dadi Village. The results of this activity show that the application of appropriate technology not only focuses on waste management, but also aims to improve the economic conditions of the community.

Penelitian ini dilakukan untuk mengevaluasi sejauh mana implementasi Sistem Informasi Akuntansi (SIA) digital berkontribusi pada peningkatan kualitas laporan keuangan yang dihasilkan oleh penjual E-Commerce. Penelitian ini menerapkan kerangka kuantitatif menggunakan metode survei terhadap 119 penjual E-Commerce yang telah mengimplementasikan SIA digital. Data dikumpulkan melalui kuesioner, pengolahan data selanjutnya dilakukan melalui prosedur regresi linier sederhana dengan bantuan aplikasi SPSS. Hasil yang diperoleh dari penelitian ini menunjukkan bahwa tingkat kinerja SIA digital memberikan pengaruh positif dan signifikan secara statistik terhadap standar laporan keuangan. Hasil ini menegaskan bahwa adopsi mekanisme akuntansi digital yang berfungsi dengan baik mampu meningkatkan relevansi, keandalan, ketepatan waktu, dan keterbandingan keluaran pelaporan keuangan. Dengan demikian, pemanfaatan SIA digital secara optimal memainkan peran penting dalam meningkatkan kualitas pelaporan keuangan bagi penjual E-Commerce.

Mutu dalam pengolahan pangan menjadi hal penting untuk menjamin produk yang aman, higienis, dan berkualitas. Suatu produk dikatakan bermutu apabila mampu memenuhi standar mutu yang telah ditetapkan oleh pihak terkait dalam hal ini adalah Standar Nasional Indonesia (SNI). Penelitian ini dilakukan untuk mengevaluasi kualitas kimia dari produk kupang krispi yang dihasilkan oleh UD. Bunda Foods, dengan menitikberatkan pada tiga parameter utama yaitu kadar air, kadar abu, dan kadar protein. Kupang krispi dipilih sebagai bahan uji karena merupakan inovasi olahan hasil laut yang memiliki nilai gizi tinggi serta daya simpan yang baik, sehingga potensial dijadikan produk camilan unggulan. Metodologi penelitian mengacu pada Standar Nasional Indonesia (SNI) 8272:2016 tentang kerupuk ikan, mengingat belum tersedia standar khusus untuk kupang krispi. Pengujian kadar air menggunakan metode gravimetri, analisis kadar abu dilakukan melalui proses pembakaran pada suhu 550°C, dan pengukuran kadar protein menggunakan metode Kjeldahl. Hasil pengujian menunjukkan bahwa kadar air berada pada rata-rata 6,75%, kadar protein mencapai 19,20%, dan kadar abu sebesar 2,5%. Jika dibandingkan dengan ketentuan dalam SNI, kadar air dan protein telah memenuhi standar mutu yang ditetapkan, namun kadar abu jauh melebihi batas maksimal yang diperbolehkan sebesar 0,2%. Kupang krispi memiliki mutu kimia yang baik dari sisi nutrisi dan ketahanan produk, namun masih diperlukan perbaikan terutama dalam mengendalikan kadar abu yang tinggi. Oleh karena itu, peningkatan sanitasi dalam proses produksi dan pemilihan bahan baku yang lebih bersih menjadi penting agar produk dapat memenuhi standar nasional secara menyeluruh dan mampu bersaing secara optimal di pasar.

Penelitian ini mengevaluasi efisiensi tiga algoritma sorting hybrid, yaitu TimSort, IntroSort, dan Merge-Insertion Sort, pada dataset skala menengah yang memiliki jumlah elemen antara 10.000 hingga 1.000.000. Tujuan utama penelitian adalah untuk menganalisis performa algoritma berdasarkan waktu eksekusi, konsumsi memori, dan stabilitas, dengan pengujian dilakukan pada berbagai jenis dataset, termasuk data acak, terurut, hampir terurut, dan data dengan banyak elemen duplikat. Pengujian dilakukan melalui simulasi komputasi menggunakan bahasa pemrograman Python dalam lingkungan terkontrol untuk memastikan hasil yang konsisten. Dataset sintetis dibuat untuk mencerminkan kasus dunia nyata, seperti pengolahan log sistem, pengurutan data pelanggan dalam aplikasi e-commerce, atau pengolahan data sensor dalam sistem Internet of Things (IoT). Hasil pengujian menunjukkan bahwa TimSort memiliki performa unggul pada dataset hampir terurut dengan waktu eksekusi rata-rata 0,12 detik untuk 1.000.000 elemen, sedangkan IntroSort lebih cepat pada dataset acak dengan waktu 0,09 detik dan konsumsi memori rendah sekitar 120 MB. Merge-Insertion Sort menonjol dalam hal stabilitas, tetapi memerlukan memori lebih besar, yaitu sekitar 180 MB untuk dataset yang sama. Analisis mendalam menunjukkan bahwa pemilihan algoritma yang optimal sangat bergantung pada karakteristik dataset dan kebutuhan aplikasi, seperti kecepatan untuk data acak atau stabilitas untuk pengurutan data berurutan. Penelitian ini merekomendasikan TimSort untuk aplikasi yang memerlukan stabilitas tinggi, seperti pengolahan data transaksi keuangan, dan IntroSort untuk aplikasi yang mengutamakan kecepatan pada data acak, seperti analitik data real-time. Untuk pengembangan lebih lanjut, penelitian ini menyarankan eksplorasi optimasi paralel atau implementasi algoritma pada perangkat dengan sumber daya terbatas guna meningkatkan skalabilitas dan efisiensi.

Increased production in the lubricant industry has become a significant issue because it generates production waste in the form of packaging, plastic, and paper waste as a direct consequence of manufacturing activities. Proper and systematic waste management is essential to reduce environmental impacts, comply with regulations, and support responsible and sustainable business practices. Lubricant production waste can damage the ecosystem and surrounding environment if not managed properly, so continuous innovation is needed to minimize environmental risks and reduce potential economic losses for the company. This study aims to analyze and implement effective waste management strategies using a combination of qualitative and quantitative approaches, including in-depth interviews with relevant stakeholders and analysis of secondary data obtained from company records. The waste management process begins with several waste reduction programs applied during the production stage to limit waste generation. Furthermore, the waste storage facility (TPS) available on the company’s premises, covering an area of 59 m², is capable of accommodating approximately 60% of the total waste that must be processed internally before further treatment or disposal.

Processing plastic waste into fuel oil with pyrolysis technology. Research on plastic oil as an alternative fuel has been widely conducted. One of them is research on processing plastic bag waste into fuel oil with pyrolysis technology. In this study, a set of pyrolysis equipment was made by Lecturers and Students of UMNU Kebumen. The plastic waste used in this study was 1 kg of plastic bag. Meanwhile, the pyrolysis process used a temperature of 250oC-300oC. The fuel oil produced in the pyrolysis process of this study was approximately 400 ml. The average density of fuel oil from plastic bag waste was 0.733 gr/ml. The results of this density calculation are in the possibility of the density of gasoline, namely 0.710 gr/ml to 0.770 gr/ml. This pyrolysis process shows great potential for converting plastic waste into an environmentally friendly alternative energy source. Furthermore, the efficiency of this pyrolysis technology can be improved by adjusting the temperature and processing time, as well as by selecting a wider variety of plastic types. This technology has the potential to be applied more widely in plastic waste management within the community as a solution to reduce environmental pollution while generating renewable energy.

This study aims to analyze the process of processing fruit peel waste from juice traders into eco-enzymes as an effort to reduce environmental pollution. The research uses qualitative descriptive methods through direct observation, documentation, and literature studies. Fruit peel waste is fermented at a ratio of 1:3:10 (molasses : fruit waste : water) for three months under anaerobic conditions. The fermentation results show good eco-enzyme characteristics, characterized by a pH of 3, a fresh sour aroma, and a brownish color as an indicator of fermentation success. These findings show that the process of processing eco-enzymes from fruit peel waste can be done simply, cheaply, and environmentally friendly. In addition, the use of eco-enzymes has the potential to reduce the volume of organic waste disposed of in landfills and reduce water and soil pollution. The resulting eco-enzyme also has potential applications as natural cleaners, liquid fertilizers, and odor controllers. Thus, the treatment of fruit peel waste not only supports sustainable environmental management practices, but also encourages the implementation of the circular economy as well as community empowerment ecologically and economically.

Polusi udara partikulat halus (PM2,5) merupakan ancaman serius bagi kesehatan masyarakat di Kabupaten Brebes, Jawa Tengah. Faktor penyumbang utamanya adalah emisi kendaraan di jalur Pantura, aktivitas industri perikanan, serta konsentrasi tinggi selama musim kemarau (Juni–November). Tidak adanya model peramalan sub-jam yang akurat menghambat pengembangan sistem peringatan dini yang efektif. Penelitian ini mengembangkan dan mengevaluasi model deep learning berbasis Transformer untuk memprediksi konsentrasi PM2,5 dengan resolusi waktu 15 menit. Data yang digunakan berasal dari NASA GEOS-CF (band PM25_RH35_GCC) yang diakses melalui Google Earth Engine menggunakan API Python. Dataset mencakup periode 1 Januari hingga 22 November 2025, menghasilkan 7.813 observasi per jam, yang kemudian diinterpolasi linear menjadi 31.249 titik data dengan resolusi 15 menit. Arsitektur Transformer terdiri dari 3 lapis enkoder, 4 kepala perhatian multi-head, dimensi embedding 128, dimensi feed-forward 256, panjang sekuen 60 timestep, dan augmentasi fitur menggunakan rerata bergulir (*rolling mean*, jendela = 3) dan beda pertama (*first difference*). Pelatihan dilakukan dengan TensorFlow-Keras, pengoptimal Adam, penjadwal peluruhan kosinus (*cosine decay scheduler*), dan fungsi kerugian Huber. Pembagian data dilakukan secara kronologis: 70% pelatihan, 30% validasi. Evaluasi pada set uji independen (16 Agustus–21 November 2025, 9.357 observasi atau 97 hari 11 jam 15 menit) menghasilkan MAE 0,7691 µg/m³, RMSE 1,2052 µg/m³, R² 0,9945, dan *Explained Variance Score* 0,9948. Model ini mampu menggambarkan variasi diurnal dan anomali musiman secara akurat, jauh melampaui model LSTM dan GTWR konvensional. Penelitian ini memberikan kontribusi signifikan di bidang Teknologi Informasi melalui kerangka kerja pengolahan *big data* satelit untuk aplikasi lingkungan.

Penelitian ini menggunakan data sekunder yang telah melalui beberapa proses pra-pengolahan, mencakup penanganan data yang hilang, standarisasi data numerik, serta konversi data kategorikal menggunakan teknik One-Hot Encoding. Sebagian besar data (80%) digunakan dalam tahap pelatihan, sedangkan 20% sisanya digunakan untuk tahap pengujian, sedangkan model diimplementasikan dengan metode LinearRegression() pada library scikit-learn. Hasil evaluasi menunjukkan bahwa model berhasil menangkap hubungan linier di antara variabel independen dan dependen, memperoleh nilai MAE = 0,509; MSE = 0,464; RMSE = 0,681; dan R² = 0,627. Hal ini menandakan bahwa sekitar 62,7 persen variasi harga rumah di wilayah Jabodetabek dapat dijelaskan oleh model tersebut.

Economic growth is the process of increasing a country's production capacity to generate goods and services over a specific period, reflecting the income and well-being of its people. This research aims to analyse the influence of labor, exchange rates, and exports on the Gross Domestic Product (GDP) of the manufacturing sector in Indonesia during the period 2010-2024. The method used is multiple linear regression analysis with the Ordinary Least Square (OLS) approach, using secondary data obtained from the Central Bureau of Statistics (BPS) and Bank Indonesia (BI). The research results indicate that all three independent variables, namely labor, exchange rate, and exports, have a positive and significant impact on the GDP of the manufacturing sector, both partially and simultaneously. The coefficient of determination (Adjusted R2) value of 0.9633 indicates that 96.33% of the variation in industrial sector GDP can be explained by these three variables, while 3.76% is influenced by factors outside the model. This research confirms that increased labour productivity, exchange rate stability, and export growth play an important role in strengthening the performance of the manufacturing sector in Indonesia. Therefore, policies focused on improving the quality of human resources, strengthening export competitiveness, and ensuring macroeconomic stability are needed to support the sustainable and globally competitive growth of the manufacturing sector.

Zinc (Zn) is one of the most common heavy metal contaminants found in industrial wastewater and solid residues such as slag, electroplating waste, and metal ash. At excessive concentrations, Zn can cause environmental disturbances, including toxicity to aquatic organisms, disruption of microbial activity, and groundwater contamination. Long-term exposure may also lead to bioaccumulation and potential health risks to humans. This article presents a comprehensive literature review that discusses the chemical properties of Zn, its environmental behavior, and the development of recent treatment technologies within the last five years. Several techniques, including adsorption using modified or composite materials, biosorption utilizing microalgae and agricultural biomass, as well as solidification–stabilization with amendment agents such as biochar or iron-sulfide compounds, are evaluated and compared. The literature indicates that no single treatment method is universally effective for all waste types; therefore, hybrid or integrated treatment systems are considered more efficient and sustainable. Based on the reviewed evidence, this study proposes an engineering concept that emphasizes environmental safety, cost-effectiveness, and industrial applicability.

Pengukuran deformasi yang akurat pada struktur beton dibawah pembebanan sangat penting untuk mengevaluasi kinerja dan daya tahan elemen-elemen tersebut. Ada beberapa keterbatasan dalam mengevaluasi struktur beton secara konversional seperti memerlukan waktu dan biaya besar. Beberapa penelitian menunjukan potensi fotogrametri jarak dekat dan pemodelan tiga dimensi (3D) mampu menganalisa deformasi, tegangan/regangan internal, dan perambatan retak. Penelitian ini mengusulkan metode pengukuran deformasi dengan empat tahapan untuk mengembangkan model 3D beton dengan menggunakan teknik fotogrametri jarak dekat dan selanjutnya pengolahan gambar. Tahapan metode yang digunakan: 1) mempersiapkan perangkat uji dan persiapan beton, 2) akuisisi gambar beton menggunakan kamera sebelum pengujian kuat tekan, menguji kuat tekan beton dibawah pembebanan, kemudian akuisisi gambar setelah pengujian kuat tekan beton, 3) melakukan pengolahan untuk menghasilkan model 3D beton, dan 4) membandingkan hasil model 3D sebelum dan sesudah pengujian kuat tekan beton. Untuk deformasi terkecil berapa pada sample beton 2 dengan loss volume sebesar 4%. Sementara itu, untuk deformasi terkecil berapa pada sample beton 3 dengan loss volume sebesar 26% yang menunjukan kuat tekan beton optimum berapa pada sample beton 2.