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The problem of household waste in Kalanganyar Village, Sedati District, Sidoarjo Regency, is increasing along with population growth, while residents' knowledge about waste sorting is still minimal and processing facilities are limited. This community service program aims to increase awareness and cleanliving behavior through education and mentoring on household waste processing based on the 3R concept (Reduce, Reuse, Recycle). This activity adopts an Asset-Based Community Development (ABCD) approach that focuses on mapping and utilizing local potential, such as health cadres, youth organizations, the spirit of mutual cooperation, and the availability of potential land. The implementation methods include appreciative inquiry, focus group discussions (FGDs), in-depth interviews with the Head of the Sopo Nyongko TPS and community leaders, participatory observation, and practical mentoring for housewives, youth organizations, and TPS managers on February 9. The results of the activity showed an increase in residents' understanding of PHBS and waste management, indicated by the enthusiasm of participants during the educational session. The program also successfully activated local agents of change: youth groups began implementing inorganic waste recycling, and health cadres designed a home-based waste sorting system.

Improper water management in rice cultivation can lead to water stress, which reduces productivity. Conventional monitoring has limitations on large-scale lands, necessitating more efficient remote sensing technologies. This study aims to develop a water stress identification system for rice plants in the late vegetative phase using multispectral drone imagery integrated with an Artificial neural network (ANN). The research method employs an experimental approach with six water availability levels in Karyamukti Village, Sumedang. Field reference data were obtained through soil moisture sensors converted into Available Water (AW) values. Image processing stages included orthomosaic reconstruction, leaf object segmentation, and transformation of vegetation indices (NDVI, NDRE, GNDVI, etc.) as model inputs. The results show that the ANN model with a four-hidden-layer architecture achieved training and validation accuracies of 94–95%. In the independent testing phase, the model produced an accuracy of 94.60% with an F1-Score of 93.33%. Spatial visualization of the prediction results indicates a consistent water condition distribution across rice plots. In conclusion, the integration of multispectral drones and ANN provides an accurate non-destructive solution for spatial monitoring of water availability in rice plants.

Indramayu mango is a seasonal fruit that is highly favored due to its delicious taste and high nutritional content. However, high mango production is often not supported by adequate post-harvest facilities, particularly in terms of fruit ripeness classification. Currently, mango ripeness classification is still performed manually, which tends to be subjective and inconsistent. To address this issue, this study proposes a ripeness detection system for Indramayu mangoes by integrating the TGS2602 gas sensor and the YOLOv11 algorithm based on image processing. The TGS2602 sensor is used to detect ethylene gas emitted by ripe mangoes, while YOLOv11 is employed for visual image analysis of the fruit. This study aims to evaluate the system’s performance in classifying ripe and unripe mangoes, as well as analyze the integration between the gas sensor and the object detection model. The test results show that the TGS2602 sensor can detect increased ethylene gas concentration in ripe mangoes, while YOLOv11 demonstrates high accuracy in detecting mangoes based on visual images, with precision and recall close to 1.0. The system was also tested under various lighting conditions, including dark environments, and still performed well, although with a slight decrease in accuracy under low-light conditions.

Pyrolysis is a biomass conversion method into fuel through heating at high temperatures under oxygen-limited conditions. The main factors influencing the pyrolysis process include temperature, residence time, pressure, particle size, reactor design, and the type of pyrolysis employed. This study aims to design an auger-type fast pyrolysis system based on previous research. The design and modeling of the fast pyrolysis equipment were carried out using Autodesk Inventor 2021 software. Based on the calculation and design results, a fast pyrolysis reactor with a multi-stage configuration and a capacity of 5.2 kg was developed. The system consists of a three-stage reactor made of Stainless Steel 304. The reactor is equipped with a screw conveyor for material transport, which is driven by an electric motor. Biomass heating inside the reactor is provided by a clamp heater with an electrical power requirement of 611 W, while biomass cooling is performed using a condenser with a cooling water capacity of 15.586 liters. Based on the structural simulation results, the maximum von Mises stress obtained was 35.4 MPa, the maximum displacement was 0.0528 mm, and the safety factor was 6.07 under loading conditions including an internal reactor pressure of 0.32 MPa, a torsional moment of 1,130 kg·mm, and an operating temperature of 700 °C. These values are within the allowable limits of the material, indicating that the designed reactor is structurally safe and feasible for use.

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.

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.

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.

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.

Salah satu bentuk pengolahan limbah menjadi energi yang berasal dari limbah padat perkotaan adalah sampah bahan bakar turunan atau Refuse Derived Fuel (RDF). Terdapat berbagai teknologi pengeringan yang biasanya digunakan untuk pengeringan RDF. Contoh penerapannya adalah oil tube rotary dryer sebagai alternatif dari steam tube rotary dryer karena sejumlah alasan utama. Pertama, penggunaan oil engine sebagai material penghantar panas tidak membutuhkan tekanan tinggi seperti pada steam tube rotary dryer sehingga komposisi desain yang tidak serumit steam tube rotary dryer. Penelitian ini dilakukan untuk mengetahui perancangan dan analisis kekuatan struktur mesin oil tube rotary dryer yang dilakukan melalui software Solidworks. Cara kerja mesin dimulai dari pemanasan thermal oil di unit pemanas hingga mencapai suhu operasi yang diinginkan. Oil panas kemudian disirkulasikan secara tertutup ke dalam tube di dalam drum pengering. Pada saat yang sama, RDF dengan kadar air awal 55% dimasukkan melalui inlet housing ke dalam shell. Suhu yang bekerja pada oil untuk memanaskan sekitar 150°C, jumlah total tube 65 buah berdiameter 1,25 inch, dan panjang pipa 10 m yang tersusun di dalam shell. Hasil analisis struktur mesin oil tube rotary dryer berdasarkan simulasi didapatkan stress (von mises) dengan nilai tertinggi 9,371 × 108 N/m^2. Sedangkan nilai terendah 9,628 × 103 N/m^2. Nilai tertinggi dari hasil simulasi tersebut terjadi pada sudut tajam bagian support roller yang tidak terdapat kontak, sehingga hal ini dapat diabaikan karena merupakan stress singularity. Hasil simulasi displacement  dengan  nilai tertinggi 1,026 × 101 N/m^2. Sedangkan nilai terendah 1,000 × 10-30 N/m^2. Nilai tertinggi dari hasil simulasi tersebut merupakan penerapan dari gaya centrifugal yang terjadi pada drum/shell rotary. Hasil simulasi Safety factor yaitu mengacu pada rata-rata probe result adalah 2,3. Sehingga dari hasil simula

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.

Desa Karangrau di Kecamatan Banyumas memiliki lahan subur yang sebagian besar ditanami durian hasil persilangan lokal dan Musangking. Pertanian, terutama budidaya durian, menjadi mata pencaharian utama warga. Para petani tergabung dalam Gapoktan Sumber Makmur dan KWT Setia Tani yang berperan dalam pengelolaan hasil panen. Namun, terdapat beberapa kendala seperti keterbatasan pengetahuan teknik budidaya modern, perawatan tradisional tanpa dukungan teknologi, serta sistem irigasi yang belum optimal. KWT Setia Tani juga menghadapi tantangan dalam pengolahan produk turunan durian akibat minimnya pengetahuan diversifikasi. Padahal, durian berpotensi diolah menjadi roti, selai, tepung, hingga pemanfaatan limbah sebagai bahan bakar alternatif. Melalui peningkatan pengetahuan, teknologi, dan inovasi pengolahan, Desa Karangrau berpeluang menjadi sentra durian unggulan yang mampu meningkatkan nilai tambah dan kesejahteraan masyarakatnya.Desa Karangrau di Kecamatan Banyumas memiliki lahan subur yang sebagian besar ditanami durian hasil persilangan lokal dan Musangking. Pertanian, terutama budidaya durian, menjadi mata pencaharian utama warga. Para petani tergabung dalam Gapoktan Sumber Makmur dan KWT Setia Tani yang berperan dalam pengelolaan hasil panen. Namun, terdapat beberapa kendala seperti keterbatasan pengetahuan teknik budidaya modern, perawatan tradisional tanpa dukungan teknologi, serta sistem irigasi yang belum optimal. KWT Setia Tani juga menghadapi tantangan dalam pengolahan produk turunan durian akibat minimnya pengetahuan diversifikasi. Padahal, durian berpotensi diolah menjadi roti, selai, tepung, hingga pemanfaatan limbah sebagai bahan bakar alternatif. Melalui peningkatan pengetahuan, teknologi, dan inovasi pengolahan, Desa Karangrau berpeluang menjadi sentra durian unggulan yang mampu meningkatkan nilai tambah dan kesejahteraan masyarakatnya.

Shrimp is a food ingredient that has perishable characteristics, so it requires proper handling to maintain product quality and safety. This study aims to understand the application of the quality system in frozen shrimp processing based on the principle of Hazard Analysis Critical Control Point (HACCP) at PT Dachan Mustika Aurora Tarakan. The research was carried out during the period from July to December 2024 with a qualitative descriptive approach. The results of the study show that the frozen shrimp processing system has followed the principles and stages of HACCP in general, starting from the receipt of raw materials, temperature checks, organoleptic tests, laboratory tests, processing with temperature control, washing, sorting, packaging, to storage in cold storage. However, there are still critical points at the Metal Detector washing and inspection stages, with the potential for significant danger in the form of metal chip contamination. The quality control process is carried out in layers to ensure that the final product meets national and international standards. The implementation of HACCP has consistently proven to be effective in improving food safety, maintaining the quality of frozen shrimp, and strengthening the competitiveness of products in the export market. These findings provide recommendations for the seafood processing industry to strengthen surveillance systems at critical points and improve personnel training to minimize the risk of contamination and ensure the sustainability of product quality.

The growing demand for organic fertilizers as an alternative to chemical fertilizers is in line with increasing public awareness of environmentally friendly agriculture. Meanwhile, livestock waste, particularly rabbit urine, remains underutilized and is often discarded, despite its high nitrogen, phosphorus, and potassium content and potential as a raw material for liquid organic fertilizer (LOF). This study aims to design and develop a simple technological innovation for processing rabbit urine into economically valuable LOF, offering new business opportunities for local communities. Another objective is to advance bioactivator-based processing technology to produce an effective, marketable, and eco-friendly organic fertilizer that enhances plant growth. The research employed an applied research method with an experimental approach, including collection and processing of rabbit urine, simple production of LOF, effectiveness testing on horticultural crops with local farmers, and analysis of business feasibility and local marketing strategies. The study resulted in a simple bioactivator-based technology for converting rabbit urine into LOF through a fermentation process of more than 14 days, producing fertilizer rich in nitrogen, phosphorus, and potassium. The LOF improved horticultural crop growth by 25–30% compared to control plants. The group business model provides livestock farmers with new business opportunities, achieving profit margins between 40% and 50%. This research produced a replicable technology guide and usable LOF product, contributing to waste reduction and supporting sustainable agriculture through community-based entrepreneurship.

Taro flour (Colocasia esculenta L. Schott) is a local food ingredient with significant potential to be developed as an alternative carbohydrate source. Its high starch content, dietary fiber, and functional properties make taro flour a promising candidate for use in various food formulations. Moreover, the widespread availability of taro in tropical regions supports its sustainable utilization. However, the development and application of taro flour face several challenges, such as high levels of antinutritional compounds (particularly oxalates), variability in characteristics among cultivars, limited processing technology, and low consumer acceptance. Therefore, innovation in processing techniques is needed, including pre-treatment methods to reduce antinutrient content, starch modification to enhance functionality, and composite formulation with other food ingredients to expand product applications. This article aims to establish a comprehensive conceptual framework for the innovative development of taro flour, focusing on processing technology, functional value, and commercialization potential. Through this approach, the development of taro-based products is expected to increase added value, support local food diversification, and strengthen national food security.

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.

Virgin Coconut Oil (VCO) is a high-quality coconut oil that is extracted from fresh coconut meat without the use of high heat or chemicals, preserving its natural nutrients and beneficial properties. The demand for VCO has increased in recent years due to its various health benefits, such as boosting the immune system, improving digestion, and providing antimicrobial effects. The oil is rich in medium-chain fatty acids, particularly lauric acid, which is known for its positive effects on cholesterol levels and cardiovascular health. This study focuses on the production of VCO using a natural fermentation method, a traditional technique that is gaining attention for its simplicity and environmental friendliness. In this method, mature coconut meat is grated and squeezed to extract the coconut milk, which is then fermented at room temperature for 24–48 hours. The fermentation process allows the separation of the oil from the milk, forming a clear oil layer on top, which retains the characteristic aroma of coconut. The quality of the produced VCO was analyzed by determining its acid value and saponification number. The saponification value, which indicates the amount of alkali required to saponify the fat, was found to be 50.49. The acid value, which reflects the free fatty acid content, was measured at 5.61. These results suggest that the VCO produced through natural fermentation is of relatively good quality, with a favorable acid value indicating lower rancidity. Overall, the study demonstrates that natural fermentation is an efficient, eco-friendly, and cost-effective alternative for VCO production. This method not only preserves the natural properties of the coconut oil but also offers a sustainable approach to producing high-quality oil for various health and cosmetic applications.

Virgin Coconut Oil (VCO) is a processed coconut product with high economic and health value. VCO production is known to be relatively easy, inexpensive, and capable of producing high-quality oil rich in benefits, including as a traditional medicine and natural ingredient for beauty and health. This community service activity aims to provide students of the Biology Education Study Program at Buton Muslim University with an understanding and practical skills regarding the VCO production process as a form of utilization of local natural resources, especially coconuts. The methods used in this activity include lectures or delivery of theoretical material, interactive discussions on the content and benefits of VCO, and direct practice in making virgin coconut oil using the settling method. This method was chosen because it does not require complicated equipment, does not use excessive heating, and is able to maintain the natural quality of the resulting oil. During the implementation, students are invited to observe and follow the entire process, from selecting good coconut raw materials, the grating process, squeezing coconut milk, natural fermentation through settling, to the process of separating oil from sediment and filtering. The results of this activity demonstrated that students not only understood the concept and theory of VCO production but also produced 1,500 ml of virgin coconut oil packaged in five 300 ml bottles. The VCO was then sold to the public for approximately Rp 30,000 per bottle. Through this activity, students not only gained contextual learning experiences but also developed insights into sustainable, locally-based entrepreneurship.

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.