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This study aims to determine the ratio of the concentration of the processing industry, labor absorption, and the value expenditure on labor in the province of bali. The data analysis method used in this analysis is the CR4 concentration analysis method. The data used is the analysis data on the number of large and medium processing industries, labor, and expenditure on labor in 2018 – 2021 obtained from the Central Statistic Agency (BPS) in the province of Bali. The result of this study indicate that : (1) In terms of CR4 analysis calculations, the concentration of the processing industry in the province Bali in 2018 – 2021 has a role in labor absorption. (2) In terms of CR4 analysis calculation, the concentration of the processing industry in province Bali in 2018 – 2021 has a role in the amound of expenditure given to labor. (3) In terms of CR4 analysis calculation, the concentration of the processing industry in the province Bali in 2021  has a role contributing to the PDRB in the province of Bali, as well as a comparison of the CR4 ratio in the province of Bali from 2018 – 2021.

Blessings in the business world are a concept that describes sustenance that is not only abundant in material aspects, but also provides positive impacts, peace, and goodness for business actors and the wider community. This study aims to investigate the blessings experienced by producers in milling cassava flour at UD Mulyo, a business that focuses on processing cassava flour raw materials and realizing producer blessings through employee and community welfare and environmental empowerment. By applying a descriptive qualitative approach, data were obtained through in-depth interviews and observations, which were then analyzed thematically. The research findings show that blessings in UD Mulyo's business are realized through the application of Islamic values, such as honesty in business management, maintaining product quality, and a commitment to improving the welfare of employees and the surrounding community. UD Mulyo not only contributes to the economy through job creation and increasing community income, but also creates social benefits through harmonious cooperation with the local community. This study confirms that blessings in business go beyond material benefits, but also include spiritual values, social balance, and business sustainability.

Coir is one of the components of coconut that can be produced and decomposed into derivative products that have economic value. PT Coco Berdikari, established in 2018 in Karya Maju Village, Sungai Saren Sub-district, Tanjung Jabung Barat Regency, is a pioneer in the coconut fibre processing industry in the region. The company's main focus is processing coconut fibre into cocopeat, cocosheet and cocofiber. Based on the results of the research, it was found that the challenges in coir waste processing are the high export costs that are a barrier to accessing the international market and the lack of support from the local government for the coir waste processing business. This study describes the processing of coir waste into products that have economic value using qualitative research methods. The data collection techniques used were observation, interview, and documentation.

Indonesia, dengan tanahnya yang subur, memiliki potensi besar dalam pertanian, terutama berkat letak geografisnya di wilayah tropis yang ditandai dengan curah hujan tinggi. Kondisi ini mendukung pertumbuhan berbagai jenis tanaman secara optimal, menjadikan Indonesia dikenal sebagai negara agraris. Sebagian besar penduduknya menggantungkan hidup pada sektor pertanian. Salah satu komoditas penting adalah cabai rawit, yang memiliki rasa pedas khas dan sering digunakan sebagai bahan masakan. Selain memberikan rasa pedas yang kuat, cabai rawit juga mempercantik tampilan hidangan dan mampu meningkatkan nafsu makan. Karakteristik ini menjadikan cabai rawit sebagai elemen penting dalam kuliner Indonesia. Cabai rawit adalah salah satu komoditas utama di Indonesia. Oleh karena itu, penting untuk melakukan kajian mendalam terkait tingkat produksinya, termasuk upaya mengoptimalkan hasil produksi melalui analisis berbagai faktor yang memengaruhinya. Metode data mining memungkinkan penggalian pola-pola tersembunyi yang menarik dalam kumpulan data. Selain itu, metode ini dapat digunakan untuk mengurangi kesalahan pengguna dalam proses pengolahan data. Salah satu pendekatan data mining yang efektif untuk memetakan atau mengelompokkan data serupa adalah klastering. Klastering memiliki kelebihan unik dibandingkan metode lain karena mampu mengklasifikasikan data tanpa memerlukan pengetahuan awal. Teknik ini membagi data menjadi kelompok-kelompok berdasarkan kemiripan karakteristik. Ada berbagai algoritma yang digunakan dalam klastering, dan salah satu yang paling populer adalah algoritma K-Means

Indonesia, dengan tanahnya yang subur, memiliki potensi besar dalam pertanian, terutama berkat letak geografisnya di wilayah tropis yang ditandai dengan curah hujan tinggi. Kondisi ini mendukung pertumbuhan berbagai jenis tanaman secara optimal, menjadikan Indonesia dikenal sebagai negara agraris. Sebagian besar penduduknya menggantungkan hidup pada sektor pertanian. Salah satu komoditas penting adalah cabai rawit, yang memiliki rasa pedas khas dan sering digunakan sebagai bahan masakan. Selain memberikan rasa pedas yang kuat, cabai rawit juga mempercantik tampilan hidangan dan mampu meningkatkan nafsu makan. Karakteristik ini menjadikan cabai rawit sebagai elemen penting dalam kuliner Indonesia. Cabai rawit adalah salah satu komoditas utama di Indonesia. Oleh karena itu, penting untuk melakukan kajian mendalam terkait tingkat produksinya, termasuk upaya mengoptimalkan hasil produksi melalui analisis berbagai faktor yang memengaruhinya. Metode data mining memungkinkan penggalian pola-pola tersembunyi yang menarik dalam kumpulan data. Selain itu, metode ini dapat digunakan untuk mengurangi kesalahan pengguna dalam proses pengolahan data. Salah satu pendekatan data mining yang efektif untuk memetakan atau mengelompokkan data serupa adalah klastering. Klastering memiliki kelebihan unik dibandingkan metode lain karena mampu mengklasifikasikan data tanpa memerlukan pengetahuan awal. Teknik ini membagi data menjadi kelompok-kelompok berdasarkan kemiripan karakteristik. Ada berbagai algoritma yang digunakan dalam klastering, dan salah satu yang paling populer adalah algoritma K-Means

Pada saat ini, teknologi informasi mengalami perkembangan yang sangat cepat. Pengguna dapat mengakses data atau informasi secara cepat, efisien, dan akurat. Pengolahan data merupakan proses untuk mengumpulkan, memproses, dan mengelolah data menjadi informasi yang dapat digunakan untuk pengambilan keputusan. PT. Subur Sedaya Maju Prabumulih, sebuah perusahaan yang bergerak di bidang jasa service, sewa-menyewa, dan perawatan alat-alat berat, telah menggunakan komputer sebagai alat bantu dalam pengolahan kas. Namun, bagian keuangan yang mengolah penerimaan dan pengeluaran kas tetap menggunakan Ms. Excel, yang memerlukan waktu dan tenaga yang relatif lama. Diperlukan adanya aplikasi yang dapat mengolah data penerimaan dan pengeluaran kas dengan cepat, mudah, dan akurat. Aplikasi tersebut harus terintegrasi dengan database agar dapat mempercepat pekerjaan bagian keuangan dalam membuat pelaporan bulanan dan update data kas masuk maupun kas keluar setiap hari

The implementation of a web-based guest book at PTPN4 aims to enhance visitor management and improve operational efficiency. This system allows for real-time data entry and retrieval, enabling staff to monitor visitor information effectively. By transitioning from a traditional paper-based guest book to a digital solution, PTPN4 seeks to minimize administrative burdens, reduce errors, and streamline the check-in process. Furthermore, the web-based system facilitates better data analysis, helping management make informed decisions about visitor engagement and security protocols. Overall, this initiative is expected to contribute to a more organized and efficient operational environment at PTPN4

Penelitian ini bertujuan untuk mengevaluasi penyajian laporan keuangan daerah di Pemerintah Kota Surakarta pada tahun 2023, apakah sudah sesuai dengan Standar Akuntansi Pemerintahan (SAP). Metode analisis yang digunakan adalah analisis deskriptif, yang melibatkan pengumpulan, pengolahan, dan interpretasi data agar dapat memberikan gambaran yang akurat dan komprehensif mengenai laporan keuangan Pemerintah Kota Surakarta tahun 2023 sesuai dengan SAP. Hasil penelitian menunjukkan bahwa Pemerintah Kota Surakarta pada tahun 2023 telah mengikuti pedoman Standar Akuntansi Pemerintahan dalam penyajian laporan keuangannya, termasuk Laporan Realisasi Anggaran, Neraca, Laporan Arus Kas, dan Catatan atas Laporan Keuangan.

The development of Micro, Small and Medium Enterprises (MSMEs) has a strategic role in improving community welfare, especially in rural areas. This research aims to analyze the strengths, weaknesses, opportunities and threats (SWOT) faced by coconut processing MSMEs in Gesikharjo Village, Palang District. Data was collected through in-depth interviews with MSME actors, field observations, and document analysis. The research results show that the main strengths of these MSMEs are the availability of local raw materials and community support. However, weaknesses such as technological and management limitations are still challenges. Opportunities such as increasing demand for processed coconut products in local and national markets provide bright prospects, although threats such as price competition and global market fluctuations still need to be watched out for. Research recommendations include strengthening the managerial capacity of MSME players, product innovation, and collaboration with the government and private sector to create a sustainable business ecosystem.

The development of information technology has a significant impact on data management in the health sector, including clinics. This study aims to analyse the benefits of implementing a health information system in patient data processing in a clinic. The method used was literature review by collecting national research articles published between 2016 and 2024 and relevant to the topic under study. The results showed that the application of information systems in clinics can improve the efficiency of the patient registration process, accuracy and security of data storage, and improve the quality of health services. The system also facilitates report generation and data analysis that supports managerial decision-making and minimises errors in data processing. Thus, the implementation of an integrated information system can improve service quality and patient satisfaction at the clinic.

Junok Village, Sreseh District, Sampang Regency has a favorite milkfish that is liked by consumers in the surrounding sub-districts and other consumers. Based on the availability of abundant milkfish resources, the milkfish processing business in Junok village has not been fully developed. So research activities are carried out. This study aims to find out how the Halal Business Development Strategy of Milkfish Processing by the Junok Sreseh Sampang Village Community Association. This study uses a qualitative descriptive research method and uses a field study approach. Data collection techniques were obtained by interview and observation methods. By using data collection, data reduction, data presentation, and conclusions in analyzing data. The results of the study show that the Halal business development strategy in Junok Village has not been fully implemented, as seen from several important aspects that still need attention. Although there is awareness of the importance of halal products, many producers in Junok Village do not have official halal certification, which can increase consumer confidence, so training is needed to increase understanding of halal, as well as collaboration with related institutions to help producers obtain halal certification.

Data mining atau penambangan data merupakan proses pengumpulan dan pengolahan data untuk mengekstrak informasi penting. Metode data mining K-Nearest Neighbor dapat menganalisis pada aplikasi Redbus. RedBus merupakan salah satu aplikasi resmi pembelian tiket bus kota di Indonesia. Permasalahan yang muncul setelah pembaruan aplikasi RedBus adalah bertambahnya ulasan bintang satu yang menyatakan bahwa versi terbaru tidak sesuai dengan versi sebelumnya. Data Mining yang dugunakan untuk menganalisis sentimen Access by Bus Kota di seluruh Indonesia menggunakan metode K-Nearest Neighbors. Data yang digunakan adalah data yang diperoleh dari ulasan pengguna aplikasi redBus selama satu bulan terhitung dari tanggal 20 September 2024 sampai dengan 20 Oktober 2024 dengan total 1291 ulasan. Analisis sentimen pada penelitian ini menggunakan metode K-Nearest Neighbors melalui bahasa pemrograman Python. Hasil penelitian menunjukkan bahwa kinerja terbaik pada percobaan dengan pembagian data latih dan data uji, serta nilai k yang bervariasi diperoleh pada percobaan dengan pembagian 90% data latih, 10% data uji dan menggunakan nilai k = 5 dengan nilai akurasi, presisi, dan recall masing-masing sebesar 90,23%; dan nilai recall sebesar 72,38%. Klasifikasi sentimen dengan model terbaik menggunakan parameter k = 3 menghasilkan 79,26% sentimen positif, 17,25% sentimen netral, dan 3,49% sentimen negatif. 

Data mining atau penambangan data merupakan proses pengumpulan dan pengolahan data untuk mengekstrak informasi penting. Metode data mining K-Nearest Neighbor dapat menganalisis pada aplikasi Redbus. RedBus merupakan salah satu aplikasi resmi pembelian tiket bus kota di Indonesia. Permasalahan yang muncul setelah pembaruan aplikasi RedBus adalah bertambahnya ulasan bintang satu yang menyatakan bahwa versi terbaru tidak sesuai dengan versi sebelumnya. Data Mining yang dugunakan untuk menganalisis sentimen Access by Bus Kota di seluruh Indonesia menggunakan metode K-Nearest Neighbors. Data yang digunakan adalah data yang diperoleh dari ulasan pengguna aplikasi redBus selama satu bulan terhitung dari tanggal 20 September 2024 sampai dengan 20 Oktober 2024 dengan total 1291 ulasan. Analisis sentimen pada penelitian ini menggunakan metode K-Nearest Neighbors melalui bahasa pemrograman Python. Hasil penelitian menunjukkan bahwa kinerja terbaik pada percobaan dengan pembagian data latih dan data uji, serta nilai k yang bervariasi diperoleh pada percobaan dengan pembagian 90% data latih, 10% data uji dan menggunakan nilai k = 5 dengan nilai akurasi, presisi, dan recall masing-masing sebesar 90,23%; dan nilai recall sebesar 72,38%. Klasifikasi sentimen dengan model terbaik menggunakan parameter k = 3 menghasilkan 79,26% sentimen positif, 17,25% sentimen netral, dan 3,49% sentimen negatif. 

Bioscrubber merupakan separator yang dapat digunakan untuk menurunkan konsentrasi hidrogen sulfida (H2S) pada biogas. Permasalahan yang mempengaruhi kinerja bioscrubber diantaranya yaitu jumlah oksigen berlebih (excess oxygen) dan suhu yang tidak sesuai dengan kebutuhan operasi sehingga menyebabkan tidak maksimalnya kinerja bioscrubber dalam menurunkan konsentrasi hidrogen sulfida (H2S). Untuk meminimalisir permasalahan ini maka dilakukan analisa data terkait kebutuhan jumlah oksigen berlebih dan suhu operasi yang optimal. Pada penelitian ini dilakukan pengumpulan data secara langsung yaitu dengan pengambilan data produksi biogas di Pembangkit Listrik Tenaga Biogas (PLTBg) Sei Mangkei yang kemudian dilakukan pengolahan data terkait kebutuhan excess oxygen dan suhu operasi pada proses separasi H2S. Dari penelitian yang dilakukan, diketahui bahwa proses penurunan konsentrasi H2S menggunakan bioscrubber yang ada di PLTBg Sei Mangkei membutuhkan excess oxygen sebanyak 363,4% dari kebutuhan oksigen teoritis dan suhu operasi 38oC untuk dapat menurunkan konsentrasi H2S hingga 97,5%.

This study aims to analyze the revenue and efficiency of the coffee powder processing industry "Cap Jempol" in Rejang Lebong Regency. The research employs a quantitative descriptive approach, focusing on revenue analysis, cost structure, and efficiency levels. Data were collected through interviews, observations, and questionnaires distributed to business owners and workers in the industry. The analysis shows that the total revenue (TR) of the "Cap Jempol" coffee powder business is IDR 35,000,000 per month, with total costs (TC) amounting to IDR 21.229.542 per month. The resulting profit is IDR 13.770.458 per month, and the Revenue-Cost Ratio (R/C Ratio) is calculated at 1.65, indicating that the business is profitable and efficient. Furthermore, labor productivity is measured at 100 kg per worker per month, demonstrating an efficient production process. Several factors influencing business revenue include raw material costs, operational expenses, market demand, marketing strategies, and competition. The findings suggest that improving production efficiency, expanding market reach, and optimizing cost management could enhance business profitability.

Computerized accounting is a system used to process company transaction data by using computers as a technological medium for application work processes and to produce financial reports for a company. The use and application of computer technology in office activities is a requirement and fairness that is needed, without having to eliminate manual systems. The use of computers will be able to improve employee performance in supporting activities in an agency or company. Financial management within the regional scope is the regional task and authority in organizing regional agencies which includes several sections including budgeting, income, expenditure, and accounting and accountability. The aim of this research is to design a web-based computerized accounting system for regional income and expenditure in Wates Village. And create a computerized accounting system that can assist the process of recording and storing web-based regional income and regional expenditure transaction data which produces regional income and expenditure report information. In creating a computerized system for regional income and expenditure, the software used is Sublime Texet3. Data storage uses MySQL and programming languages ​​use PHP and HTML. The research results show that the computerized accounting system makes it easier for finance employees to record financial transactions. Then financial reports are produced more quickly and data errors can be minimized and more structured data is stored in the database. So this new system really helps agencies in Wates Ngaliyan Village, Semarang, where the application is equipped with a menu for input, processes and reports that process transactions, both income and expenditure.

Indonesia's cigarette industry has experienced significant growth, contributing substantially to economic development and work opportunities. However, the production process generates wastewater containing pollutants like BOD, COD, TSS, NH3-N, phenol, and pH imbalances, which pose environmental risks. This study aims to evaluate the quality of wastewater from the cigarette industry and analyze the treatment technologies used to meet environmental standards. Using qualitative methods and secondary data from relevant industries, the research shows that cigarette industry wastewater is highly polluted and requires multiple treatment stages before being discharged into surface water. Key technologies include collecting tanks, equalization tanks, coagulation-flocculation, clarifiers, and trickling filters. The findings provide valuable insights into waste management challenges and propose solutions to support environmental sustainability in the cigarette industry.

The purpose of this innovation is to add to the menu at Resto kebun Naga Poernama. Data collection was carried out by organoleptic tests on 25 people conducted by lecturers, industry and consumers. Based on the tabulation of organoleptic test data, the author can conclude that the Dragon Fruit Uduk Rice at Resto Kebun Naga Poernama. from the results of the calculation on the level of liking obtained the value in the main test as follows: appearance 80% (very like), 20% (like). Color 68% (very like), 32% (like). Aroma 44% (very like). 56% (like). Texture 76% (like), 24% (like). Taste 84% (like very much), 16% (like). Taste 80% (really like), 20% (like). so it is stated that Tamagiri Dragon Fruit Shrimp Rice is liked and acceptable by panelists. After obtaining the results of the Break Event Point calculation, it is concluded that for 1 portion of Tamagiri Dragon Fruit Shrimp Rice, it is Rp.6,075, while the selling price per portion is Rp.16,000 with a food cost of 37%, BEP of 166 pcs, fixed cost of Rp. 1,500,000 and it is concluded that in order to get a target margin of Rp. 2,000,000,- / month, it must sell as many as 388 pcs / month or 13pcs / day. The author's suggestion for future researchers is to make eggshells that are not fishy and add more varied fillings.    

Limited understanding of the preparation of financial reports is something that is often experienced by MSMEs that have just been established. This Community Service Activity aims to support MSME players, nameli MSMEs in the Mertosanan Kulon, Potorono, Banguntapan Bantul areas where the majority of the population is snack entrepreneurs to increase income by sharing knowlage through assistance related to recording financial transactions and preparing financial reports related to online marketing. From this assistance, it is hoped that it can help MSME actors to compete in the market. The methods used in this service are: 1) Socialization and Coordination. 2) Data Collection. 3) Implementation of Mentoring. 4) Implementation of Training. The result of the service carried out show that the service that has been carried out has increased their skills in developing businesses for MSME actors. 

The increase in population has an impact on increasing waste, including cooking oil waste known as used cooking oil. This used cooking oil is not always thrown away, but can also be reused. However, improper disposal of waste cooking oil can cause environmental problems. Used cooking oil is a type of waste that can pollute the environment by increasing COD (Chemical Oxygen Demand) and BOD (Biological Oxygen Demand) levels in the water. Apart from that, this oil can also cause an unpleasant odor due to the biological degradation process. Currently, used cooking oil is often thrown directly into the drain. This research was conducted in Wonorejo Village, Surabaya, with data collection methods in the form of questionnaires, field observations and interviews as primary data, as well as a general description of the area and related literature as secondary data. The results of the analysis show that there are variations in views and practices in managing used cooking oil among respondents. The level of public awareness about the importance of managing used cooking oil to support the zero waste concept varies. The majority of respondents (64%) stated that the main responsibility for managing used cooking oil lies with the users themselves.