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Plastic waste, particularly plastic bottles, has become one of the major challenges in urban environmental management due to its increasing volume and potential to pollute ecosystems. In Bogor City, plastic waste constitutes a significant proportion of daily municipal solid waste, highlighting the need for effective and sustainable waste management models. This study aims to analyze the role of the Reduce, Reuse, Recycle Waste Processing Facility (TPS3R) in managing plastic bottle waste in Bogor City, with a case study of the Eco Techno Park at Ibn Khaldun University (UIKA) Bogor. The research employed a descriptive qualitative method using a case study approach. Data were collected through field observations, in-depth interviews with facility managers, and reviews of relevant documents and literature. The findings indicate that the TPS3R Eco Techno Park has successfully implemented the 3R principles through an integrated system supported by environmentally friendly technologies and a circular economy framework. Plastic bottle waste is managed through sorting, shredding, and recycling processes to produce value-added products, including plastic pellets, handicrafts, and construction materials. In addition, organic waste management is integrated through the cultivation of Black Soldier Fly (BSF) larvae. The facility has contributed to reducing the volume of waste sent to landfills by approximately 18%. The study implies that strengthening regulatory support, enhancing community participation, and developing circular economy-based business models are essential to ensure the long-term sustainability of waste management programs and support Bogor City's waste reduction targets.

Daun kelor (Moringa oleifera) merupakan tanaman lokal yang kaya protein, vitamin, dan mineral, serta berpotensi mendukung pemenuhan gizi anak apabila diolah dalam bentuk yang lebih diterima. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk memberdayakan masyarakat melalui inovasi pemanfaatan daun kelor (Moringa oleifera) berbasis data empiris masyarakat sebagai permen pendukung gizi anak. Kegiatan dilaksanakan di Desa Tinelo, Kabupaten Bone Bolango, Provinsi Gorontalo, dengan sasaran ibu yang memiliki anak usia 5–12 tahun. Tahap awal dilakukan pengumpulan data empiris melalui wawancara semi-terstruktur untuk mengidentifikasi pola pemanfaatan daun kelor dan tingkat penerimaan anak. Selanjutnya dilakukan kegiatan edukasi mengenai manfaat gizi daun kelor serta pendampingan pembuatan permen herbal kelor sebagai inovasi pengolahan pangan berbasis kearifan lokal. Evaluasi kegiatan dilakukan secara deskriptif dengan membandingkan kondisi pra dan pasca kegiatan terhadap perubahan pengetahuan, sikap, dan penerimaan masyarakat. Hasil kegiatan menunjukkan adanya peningkatan pemahaman ibu terhadap manfaat gizi daun kelor, dukungan terhadap inovasi pengolahan, penerimaan anak terhadap konsumsi kelor, partisipasi aktif masyarakat, serta minat untuk mengolah daun kelor secara mandiri. Kegiatan ini menunjukkan bahwa pendekatan pemberdayaan berbasis data empiris dan inovasi pangan lokal efektif dalam meningkatkan pemanfaatan daun kelor sebagai pendukung gizi anak.

The rapid digital transformation in educational institutions demands an efficient student grade data processing system capable of handling workloads responsively. This study aims to analyze and compare the efficiency of sorting algorithms (Merge Sort and Quick Sort) and searching algorithms (Linear Search and Binary Search) on a web-based platform. The research method employed is laboratory experimental, testing algorithm performance across various data volume stratifications, ranging from 50 to 1000 entities, using the V8 JavaScript engine. Research findings indicate that Quick Sort possesses superior speed compared to Merge Sort due to its efficient in-place sorting architecture, which minimizes memory overhead and Garbage Collection activity. Furthermore, a performance anomaly was discovered where the Just-In-Time (JIT) Compiler mechanism optimizes execution on large data volumes through a warm-up phase. In the searching aspect, Binary Search demonstrates superior O(log n) logarithmic stability compared to Linear Search, which risks causing interface freezing on massive data. The implication of this study is the critical importance of implementing data pre-sorting protocols to exploit logarithmic search speeds to ensure academic information system scalability. The integration of appropriate algorithms proves to be a crucial foundation in maintaining web application responsiveness amidst the ever-increasing escalation of educational data.

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.

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.

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.

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.

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

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.