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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.

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.

This study aims to improve the welfare of curly red chili farmers in Tanjung Seteko Village through the innovation of processing fresh chili into chili oil. The background of this research lies in the low added value of fresh chili and frequent price fluctuations that cause unstable farmer incomes. The study employed a descriptive qualitative approach involving preparation, implementation, and evaluation stages, with purposive sampling covering farmers, farmer group members, housewives, and village officials. Data were collected through observation, interviews, documentation, and questionnaires. The results indicate that processing chili into chili oil can extend shelf life up to 1–2 months at room temperature and more than 6 months under refrigeration, reduce harvest losses by 30–40%, and significantly increase economic value compared to selling fresh chili. A single production process using 5 kg of curly red chili yields 16 liters of chili oil with an estimated selling price of IDR 1.500.000-2.000.000 per production cycle, showing that simple processing activities can provide substantial added value for farmers. Beyond economic benefits, this innovation strengthens community empowerment by improving processing skills, encouraging economic independence, promoting participation in value-added businesses, and reinforcing local economic resilience. The social impacts also include youth and women empowerment and broader opportunities for local product–based entrepreneurship. The study recommends continuous capacity development, digital marketing strategies, and ongoing mentoring to optimize farmer welfare. Therefore, processing curly red chili into chili oil is a strategic solution to enhance income, skills, and sustainable rural economic development.

This study aims to improve the welfare of curly red chili farmers in Tanjung Seteko Village through the innovation of processing fresh chili into chili oil. The background of this research lies in the low added value of fresh chili and frequent price fluctuations that cause unstable farmer incomes. The study employed a descriptive qualitative approach involving preparation, implementation, and evaluation stages, with purposive sampling covering farmers, farmer group members, housewives, and village officials. Data were collected through observation, interviews, documentation, and questionnaires. The results indicate that processing chili into chili oil can extend shelf life up to 1–2 months at room temperature and more than 6 months under refrigeration, reduce harvest losses by 30–40%, and significantly increase economic value compared to selling fresh chili. A single production process using 5 kg of curly red chili yields 16 liters of chili oil with an estimated selling price of IDR 1.500.000-2.000.000 per production cycle, showing that simple processing activities can provide substantial added value for farmers. Beyond economic benefits, this innovation strengthens community empowerment by improving processing skills, encouraging economic independence, promoting participation in value-added businesses, and reinforcing local economic resilience. The social impacts also include youth and women empowerment and broader opportunities for local product–based entrepreneurship. The study recommends continuous capacity development, digital marketing strategies, and ongoing mentoring to optimize farmer welfare. Therefore, processing curly red chili into chili oil is a strategic solution to enhance income, skills, and sustainable rural economic development.

Kepatuhan wajib pajak menjadi fokus utama Pemerintah dalam meningkatkan penerimaan Negara. Pada penelitian ini memiliki tujuan yaitu mencari bagaimana pengaruh administrasi pajak digital, kualitas pelayanan fiskus, dan kesadaran wajib pajak terhadap kepatuhan wajib pajak orang pribadi di Kota Bandung.  Populasi pada penelitian ini berjumlah 188.232 wajib pajak orang pribadi pada kantor Pelayanan Pajak Pratama Cibeunying Bandung, dengan Teknik pengambilan sampel yang digunakan adalah purposive sampling dan 100 responden digunakan sebagai sampel yang dipilih berdasarkan rumus slovin. Metode Penelitian ini adalah kuantitatif deskriptif, mengandalkan angket kuesioner dengan 18 pertanyaan yang kemudian data tersebut akan diukur oleh peneliti dengan memanfaatkan skala Likert. Pengolahan data menggunakan analisis regresi linier berganda dengan SPSS versi 31 untuk menghitung serta menarik kesimpulan. Dalam penelitian ini menghasilkan bahwa ketiga variabel yaitu administrasi pajak digital, kualitas pelayanan fiscus, dan kesadaran wajib pajak masing-masing mempunyai dampak yang positif dan signifikan terhadap kepatuhan wajib pajak orang pribadi di Kota Bandung.

Kadi Pada Village is one of the villages that still manages population data manually, which often causes difficulties in recording, searching, and reporting population data. The manual process is also prone to input errors, data duplication, and lost documents. Therefore, a web-based information system is needed that can help village officials manage population data more effectively and efficiently. This study aims to design and build a web-based population data processing system that can be used by village officials to record, update, and present population data digitally. The methodology used in developing this system is the waterfall method, which includes the stages of needs analysis, system design, implementation, and testing. The technologies used include HTML, CSS, PHP, and MySQL as databases. The result of this design is an information system that has main features such as population data management, family data management (Family Card), recording population mutations (birth, moving, death), and making reports in digital format. With this system, it is hoped that the population administration process in Kadi Village will be faster, more accurate, and more organized.

Library material processing is an essential activity in library management to support collection organization and facilitate users’ access to information. The Library of the Museum of the History of the Qur’an of North Sumatra possesses a diverse collection of materials, including Islamic books and general books; therefore, a well-planned and systematic collection processing system is required. This internship activity aims to describe the process of processing Islamic and general library materials through cataloging and book labeling activities at the Library of the Museum of the History of the Qur’an of North Sumatra. The method used in this internship was a descriptive qualitative approach, with data collection techniques including observation, documentation, and direct practice in the processing of library materials. The results of the internship indicate that cataloging and book labeling play a significant role in creating organized collections, facilitating information retrieval, and supporting the effectiveness of library services. Thus, processing library materials through cataloging and labeling constitutes a strategic effort to enhance the quality of collection management at the Library of the Museum of the History of the Qur’an of North Sumatra.

Penelitian ini dimaksudkan untuk mengkaji pengaruh kompensasi finansial, kepuasan kerja, dan work-life balance terhadap loyalitas karyawan yang berasal dari Generasi Z. Latar belakang dari penelitian ini didasari oleh meningkatnya tingkat mobilitas kerja pada kelompok Generasi Z, yang menciptakan tatantangan sendiri bagi perusahaan dalam mempertahankan tenaga kerja muda yang memiliki potensi tinggi. Penelitian ini menerapkan pendekatan kuantitatif dengan menggunakan metode survei yang melibatkan 80 responden dari kalangan Generasi Z yang bekerja di sektor manufaktur. Pengolahan data dilakukan dengan bantuan SPSS versi 22, dengan menggunakan sejumlah tahapan pengujian yang mencakup pengujian validitas dan reliabilitas, pengujian asumsi klasik, serta analisis regresi linier berganda. Analisis yang dilakukan dalam penelitian ini mengungkapkan bahwa ketiga variabel independen, yaitu kompensasi finansial, kepuasan kerja, dan work-life balance secara signifikan berpengaruh terhadap loyalitas karyawan, baik secara parsial maupun simultan. Temuan ini menegaskan bahwa upaya untuk menciptakan keseimbangan yang optimal antara kehidupan profesional dan personal berperan sebagai aspek strategis yang berkontribusi secara signifikan terhadap peningkatan loyalitas karywan di lingkungan kerja.  Penelitian ini memberikan implikasi bahwa perusahaan perlu lebih memperhatikan aspek work life balance dalam strategi manajemen sumber daya manusia untuk mendorong retensi dan komitmen karyawan.  

This research aims to determine whether there is an effect of FDI, Domestic Investment, and Labor on the GRDP of the Manufacturing Industry Sector in Pekanbaru City. This study uses independent variables such as FDI, Domestic Investment, and Labor with the dependent variable being the GRDP of the Manufacturing Industry Sector in Pekanbaru City. The data used in this study consisted of 2012 to 2024. The method used in the analysis approach is descriptive quantitative, and tested with multiple linear regression using SPSS 26 software.The results of the study indicate that, based on simultaneous regression analysis, FDI, Domestic Investment, and Labor have a significant impact on the GRDP of the Manufacturing Sector in Pekanbaru City. Partially, the Domestic Investment and Labor variables have a positive and statistically significant influence on the GRDP of the Manufacturing Industry Sector in Pekanbaru City, while the FDI variable has a positive and statistically insignificant influence on the GRDP of the Manufacturing Industry Sector in Pekanbaru City

The Household Food Industry (IRTP) of pempek in 7 Ulu Subdistrict, Palembang City plays an important role in providing traditional food and supporting the local economy, yet hygiene and sanitation conditions remain a concern due to the risk of foodborne diseases. This study aimed to describe the hygiene and sanitation conditions of pempek processing facilities in IRTPs in 2025. A descriptive cross-sectional design was applied involving 52 food handlers from 19 IRTPs selected through total sampling, with data obtained through observation and interviews using checklists and questionnaires. The majority of food handlers were aged 25–42 years (73%), female (94.2%), and had elementary to junior high school education (67.3%), with most having ≤10 years of work experience (86.5%). All equipment hygiene conditions failed to meet the requirements (100%). Food handlers’ hygiene knowledge was mostly moderate (55.8%), while hygiene principles were fulfilled in 84.2% of IRTPs. In terms of sanitation, only 52.6% of buildings met the standards and 42.1% of sanitation facilities were adequate. In conclusion, hygiene and sanitation conditions in pempek IRTPs in 7 Ulu Subdistrict remain varied, with several key indicators unmet, thus requiring continuous supervision, education, and coaching to improve compliance with health standards.

Household waste management, especially organic waste, remains a major problem in many regions, including Pematang Guntung Village, Teluk Mengkudu District, Serdang Bedagai Regency. Improperly managed organic waste has the potential to cause unpleasant odors, environmental pollution, and become a source of disease. Therefore, an appropriate and environmentally friendly solution is needed to overcome this issue. This study aims to examine how the application of the biopore method can serve as a strategy to create a cleaner environment while simultaneously improving soil fertility. The research method used was qualitative, with data collection techniques including observation, interviews, and documentation. The data obtained were analyzed descriptively to illustrate the implementation of biopores in the community. The results showed that the application of biopores was able to significantly reduce the volume of household organic waste. Organic waste placed into biopore holes naturally decomposed into compost, which is beneficial as an environmentally friendly fertilizer. In addition, biopores improved soil water absorption capacity, which helps reduce waterlogging during the rainy season and maintain soil moisture. From a social perspective, biopores encouraged the development of new awareness among community members regarding the importance of waste management. This was demonstrated by the active participation of residents in creating, utilizing, and maintaining biopore holes sustainably. Thus, biopores function not only as a technical solution for organic waste management but also as an environmental education tool that strengthens community collaboration in maintaining cleanliness and enhancing soil fertility in their area.

This study aims to determine the income and feasibility of sago processing business in Andabia Village, Anggaberi District, Konawe Regency. The research was carried out in March 2025 using the purposive sampling method, based on the consideration that the sago processing business has long been the main livelihood of the local community. The sample was taken by census of 13 respondents. Data analysis using revenue model I = TR - TC and business feasibility analysis with an R/C = TR / TC ratio approach. The results of the study show that in one sago processing process, the total revenue reaches IDR 18,000,000, while the total cost is IDR 7,863,269. Thus, the net income obtained by sago processors is IDR 10,136,731. The business feasibility analysis shows an R/C ratio value of 2.29, which means that every expenditure of IDR 1 generates IDR 2.29 in revenue. The R/C value > 1 indicates that the sago processing business in the region is profitable and feasible to be developed. These findings provide a basis for strengthening the local economy through optimizing the sago business as a sustainable source of income. This study also recommends policy support and technical training to improve the efficiency and competitiveness of sago processing businesses in the area.

Data on waste generation in 2024, nationally, in the Special Region of Yogyakarta Province, and in Bantul Regency, consistently show organic waste as the largest component (more than 50%). Based on its source, the largest waste generation (53-75%) comes from households. This community service program aims to increase the participation of households in Trayeman Hamlet, Plered Village, Plered Sub-district, Bantul, in managing their own organic waste. This program is implemented through training for local PKK members. The methods presented are biopore, the covered bucket method, the stacked bucket method, the losida method, and the gallon method so that the community can easily adjust their choices. The training continued with the creation of composting tools, inoculant solutions, and biopore infiltration holes. Obstacles faced in organic waste management are the dependence of some residents on waste collection services. Supporting factors are the high community interest in gardening, the periodic garden utilization and cleanliness competitions held by the local village, and the commitment of PKK administrators to be able to process their organic waste independently.

This training aims to enhance the skills of students at SMK Pangeran Antasari in using Microsoft Access as a tool for data processing. In today's digital era, mastering database software is a crucial competency, especially for vocational school students who are being prepared to enter the workforce. The training methods included lectures, demonstrations, and hands-on practice using a participatory approach. The materials covered an introduction to databases, table creation, relationships between tables, queries, forms, and basic reporting. The results of the training indicated an improvement in students' understanding and ability to process data using Microsoft Access. Through this program, students are expected to gain practical knowledge in managing data systematically and efficiently, as well as applying it in academic tasks and real-world industry settings.

Automatic object detection is one of the crucial aspects in the field of digital image processing that plays a vital role in various modern applications, ranging from security systems to pattern recognition in medical and industrial fields. This study aims to implement an automatic object detection method with a digital image representation-based approach using MATLAB software. The main focus is directed at the pixel-based image processing process, where each image element is processed to extract relevant visual information. In this study, stages are carried out starting from image acquisition, color conversion, image quality enhancement, threshold-based segmentation, to extraction of targeted object features. Digital images are analyzed through transformation into grayscale and binary forms to facilitate the detection process. The use of MATLAB provides flexibility in numerical and visual data processing, and supports various efficient image processing libraries.

Kopi menjadi salah satu komoditas unggulan sektor pertanian yang berperan besar dalam membantu perekonomian Indonesia dan menyediakan lapangan pekerjaan. Faktor pengupasan kulit dari biji yang lama dapat mengganggu proses pengolahan kopi. Pengupasan kulit dari biji merupakan tahap paling krusial dalam pemrosesan biji kopi, terutama dalam mengurangi kerusakan produk dan menjaga kualitas mutu biji kopi. Oleh karena itu, penggunaan mesin pulper kopi menjadi solusi untuk meningkatkan efisiensi dan kualitas pengupasan biji kopi. Penelitian ini bertujuan untuk mengkaji lebih dalam mengenai konsep mekanika pada berbagai jenis mesin pulper kopi dengan metode pengumpulan data dari literatur yang telah kami peroleh. Diperoleh lima jenis mesin pulper kopi yaitu mesin pulper motor listrik, pisau silinder berputar, rol ganda, TEP-JLL 2015, dan mesin pulper-huller dua fungsi. Prinsip momen gaya diterapkan saat putaran motor dialihkan melalui sistem transmisi untuk menghasilkan torsi yang cukup besar untuk menggerakkan komponen pengupas. Selain itu, mesin portabel juga menerapkan mekanika roda dan poros dalam sistem mobilisasi untuk memudahkan perpindahan di medan menanjak. Hasil kajian menunjukkan bahwa pemilihan mesin pulper perlu disesuaikan dengan kondisi geografis, skala produksi, dan jenis kopi yang diolah agar diperoleh hasil pengupasan yang optimal.

Wisata kuliner saat ini telah menerapkan berbagai macam konsep seperti salah satunya yaitu konsep syaria atau halal, yang dimana konsep ini menjamin kebersihan dan ketersediaan sarana dan alat yang ramah muslim di daya tarik wisata. Tujuan penelitian ini untuk mengetahui Kepuasan pengunjung terhadap penerapan zona kuliner halal di Kawasan kuliner Lego-Lego Kota Makassar. Metode dalam penelitian ini menggunakan pendekatan kuantitatif, dengan menerapkan teknik sampel accidental sampling. Sejumlah 107 responden, yang merupakan wisatawan yang mengunjungi Kawasan Kuliner Lego-Lego di Kota Makassar, dipilih sebagai sampel dalam penelitian ini. Pengumpulan data melalui kuesioner (angket). Pengolahan data dilakukan melalui Importance Performance Analysis (IPA). Temuan dari penelitian mengindikasikan bahwa Tingkat kepuasan wisatawan umumnya lebih rendah daripada tingkat harapan mereka. Dengan demikian, secara keseluruhan, para pengunjung belum merasa sepenuhnya puas terhadap peneraoan zona kuliner halal di Kawasan Kuliner Lego-Lego Kota Makassar.. Dengan merujuk pada analisis diagram kartesius, dapat disimpulkan bahwa indikator-indikator yang termasuk dalam kuadran 1 (prioritas utama) dan menunjukkan kinerja yang rendah melibatkan variasi harga dan pilihan menu, pelayanan staf tenant, kualitas bahan baku, dan kehigienisan bahan baku.

The Snail Canning Industry has the potential to impact the environment if wastewater with high organic compound content is not treated first. This study aims to analyze the performance of the Snail Canning Industry Wastewater Treatment Plant (WWTP) based on BOD, COD, and TSS parameters. The method used is descriptive, with primary data obtained through interviews and secondary data from laboratory test results. Measurements were taken at the inlet and outlet points of the WWTP, then compared with the quality standards based on the Regulation of the Minister of Environment No. 5 of 2014. The results showed that the WWTP succeeded in reducing the concentration of BOD from 201 mg/L to 6 mg/L, COD from 315 mg/L to 24 mg/L, and TSS from 25 mg/L to 6 mg/L. The reduction efficiency of each parameter was 97.01% for BOD, 92.38% for COD, and 76% for TSS. All outlet results met the established quality standards. This indicates that the wastewater treatment process at the IPAL functions effectively in reducing the levels of pollutant parameters in wastewater.