Introduction: Water quality parameters are indicated by the presence of E. coli bacteria. These bacteria come from human feces, warm-blooded animals, and non-fecal coliforms. Decree of the Health Minister of the Republic of Indonesia Number 907/MENKES/VII/2002 concerning requirements and supervision of drinking water quality states that good drinking water has a zero total coliform and fecal coliform. Methods: This research uses a descriptive approach with a cross-sectional design. It aims to determine the quality of water sources in Sulkatan village. Ten (10) water sources were used as the samples using total sampling method. The collected samples were then taken to the laboratory to be tested with a series of MPN tests Results and Discussion: The results show that the amount of Escherichia coli bacteria in water samples in Sulkatan Village is 0MPN/100 ml. It is owing to the location of the water source that is far from industrial activities, household waste and residential areas. Conclusion: The quality of the tested well-water samples is good and within normal limits in accordance with the Decree of the Health Minister of the Republic of Indonesia Number 907/MENKES/VII/2002
 
 

College Students' interest in participating in organizational activities is a current topic in the university environment. The existence of organizations can be seen from students' interest in joining organizations, one of which is in the Social Sciences Education Study Program, Faculty of Social Sciences, Jakarta State University. The aim of this research is to describe the factors of interest of Social Sciences Education Students in participating in organizational activities. This research uses a descriptive method with a qualitative approach. Data collection techniques were carried out using interviews, observation, questionnaires, documentation and literature study. The subjects in this research were students of the 2021-2022 Social Sciences Education study program. The research results show that most college students have an interest in organizational activities, and the internal factors for students joining an organization are: 1) having an open personality, 2) wanting to develop their interests and talents, 3) preparing themselves to enter the world of work. External factors for college students joining the organization are: 1) campus facilities, 2) friends in studying, 3) parents, 4) appreciation from friends and lecturers, 5) problems on campus. So it can be concluded that Social Sciences Education college students have an interest in participating in organizational activities. Several factors that determine a student's interest in joining an organization come from the student himself and also from the environment at the university.

At Republic of Indonesia State Civil Service Agency in carrying out work, it is often found that problems both software and hardware are installed in the computer and must be resolved immediately. However, the handling of problems is still not good, where in the process of reporting complaints and requests, you still have to go by telephone or come directly to the IT staff office to notify complaints, as well as in manual records that affect company performance. All recording reports and problem calculations are still manual. This can have a negative effect, namely: there are problems that are at risk of being recorded repeatedly, so it takes a long time to provide reports to managers. Therefore, the authors submit a helpdesk information system application to solve the problems of complaints and employee requests so that they can be resolved quickly and can be handled properly as well as recording reports that are well recorded. In developing this helpdesk information system, the author uses an object-oriented methodology, namely the iteration waterfall, which is modeled using UML (Unified Modeling Language). The tools used are XAMPP as a web server, PHP as a programming language and MySQL as a database. With this system, it is hoped that it can make it easier for employees to report complaints as well as get solutions to the problems they are complaining about and also make it easier for IT staff to automatically generate reports in the system.

In public service offices in the government, special areas or rooms are provided for smoking. At the Kendal District Court Class 1B the smoking room or smoking area still uses air ventilation and fans to neutralize cigarette smoke. As a result, the smoke that is exposed to the fan in the smoking room spreads out and disturbs the health of the surrounding community or disrupts the activities of employees at the Kendal Class 1B District Court. In this case, the Kendal Class 1B District Court, especially this smoking area, needs to be handled, namely making a device that can filter cigarette smoke and monitor the condition or level of air quality in the room so that cigarette smoke does not spread outside the room and harm your health. To help the filtration system in smoking rooms, there needs to be an automatic system that is able to work when cigarette smoke in the room is at a certain level. The sensors used to detect levels of CO ( carbon monoxidant), CO2 (carbon dioxidant) in cigarette smoke are MQ-7 and MQ-135. The way this tool works, if cigarette smoke in the room reaches the threshold level of gas in the room, the fan will suck it into the filtration room, after which it will be exhaled back into the smoking room and will notify the condition of the room on the LCD monitor display.

Dalam era Industri 4.0 yang ditandai oleh adopsi teknologi digital dan kecerdasan buatan (AI), pengelolaan sumber daya manusia (SDM) menjadi semakin penting dalam memastikan kinerja perusahaan yang optimal. Artikel ini mengkaji penerapan kecerdasan buatan dalam meningkatkan efektivitas perilaku SDM di era Industri 4.0 melalui analisis sistematis literatur (SLR). Melalui SLR ini, berbagai artikel terkait dengan topik tersebut dipelajari, termasuk tentang model-model AI yang digunakan dan implementasinya dalam konteks SDM. Hasil review menunjukkan bahwa penerapan kecerdasan buatan dalam SDM dapat memberikan sejumlah manfaat yang signifikan bagi perusahaan. Salah satunya adalah peningkatan efisiensi proses SDM, seperti rekrutmen, seleksi, dan pengelolaan kinerja karyawan, melalui penggunaan algoritma dan sistem otomatisasi. Selain itu, AI juga memungkinkan pengambilan keputusan yang lebih akurat berdasarkan analisis data yang besar dan beragam, membantu perusahaan untuk membuat keputusan strategis yang lebih tepat. Namun, selain manfaatnya, penerapan kecerdasan buatan dalam SDM juga menimbulkan sejumlah tantangan dan risiko. Masalah privasi dan keamanan data menjadi perhatian utama, di samping risiko terkait dengan bias dalam pengambilan keputusan AI. Oleh karena itu, perusahaan perlu mempertimbangkan dengan hati-hati implementasi teknologi ini, sambil memastikan bahwa langkah-langkah yang diperlukan diambil untuk melindungi integritas data karyawan dan mengurangi risiko bias.Dengan memahami tantangan dan risiko yang terkait, serta memanfaatkan potensi teknologi kecerdasan buatan dengan bijak, perusahaan dapat mengoptimalkan manfaatnya dalam meningkatkan efektivitas perilaku SDM dan mencapai tujuan bisnis mereka di era Industri 4.0.

The use of cryptocurrency assets in Indonesia is still prohibited as a means of payment but as an investment instrument it can be included as a commodity that can be traded on a term exchange as regulated in the regulation of Law No. 10 of 2011 concerning amendments to Law No. 32 of 1997. The positive impact of cryptocurrencies in consumer protection such as cryptocurrency financial access can provide access to the traditional banking system, thereby increasing financial inclusion. There are also negative impacts to consider in consumer protection: security risks associated with theft or hacking of cryptocurrency exchange platforms and digital wallets can threaten the security of consumer funds. This study aims to analyze about consumer protection of cryptocurrencies in the digital age. This research uses normative research methods and uses qualitative data types. The results of this study show that consumer protection in cryptocurrency in the digital era, among others, preventively, in cryptocurrency trading transactions as assets is also strengthened by the Regulation of the Commodity Futures Trading Supervisory Agency Number 9 of 2019 concerning Amendments to the Regulation of the Commodity Futures Trading Supervisory Agency Number 5 of 2019 concerning Textile Arrangements for the Implementation of the Physical Market of Cryptocurrency Assets on Futures Exchanges. Meanwhile, if repressively to protect what is given after a dispute arises in the form of sanctions, fines, imprisonment, and penalties imposed a dispute occurs, regulated in Article 22 of PerBappeti Number 5 of 2019 concerning Technical Provisions for the Implementation of the Physical Market of Cryptocurrency Assets on the Futures Exchange, that dispute resolution is carried out by deliberation to reach consensus if it does not reach consensus the parties can resolve through the Futures Trading Arbitration Agency Commodity (BAKTI) and the State Court as stated in the agreement between the parties. Bank Indonesia reaffirms the ban on the use of virtual currencies in cryptocurrency, both in the form of selling, buying, and trading with these currencies. 

Obesity, characterized by excessive accumulation of body fat, increases susceptibility to chronic disease and adversely impacts overall quality of life. Elderly people often exhibit higher fat mass and lower muscle mass and bone density, influenced by reduced physical activity, hormonal changes, and metabolic adjustments. Visceral fat accumulation is of particular concern because of its association with metabolic syndrome, insulin resistance, diabetes, hypertension, and cardiovascular disease. This activity uses the PDCA (Plan-Do-Check-Act) framework to screen for obesity in the elderly using Body Mass Index (BMI) and waist circumference measurements. Activities were held at St. Fransiskus Assisi, Jakarta involving 36 participants. The study revealed that 16 participants (44.5%) and 30 people (83.3%) were obese and centrally obese, respectively. Early detection and intervention through anthropometric measurements are very important in managing health risks related to obesity in the elderly, so as to improve their quality of life and reduce morbidity and mortality.

GoPay as one of the digital payment applications in Indonesia faces challenges in understanding user perceptions in the midst of fierce competition. This study aims to develop a user review sentiment analysis model by comparing two approaches to text representation, namely TF-IDF and BERT, as well as two machine learning algorithms, namely Random Forest and Logistic Regression. Review data is obtained from the Google Play Store and processed through pre-processing, feature extraction, and sentiment modeling. The results showed that the combination of BERT + Logistic Regression provided the best performance with an F1 Score of 0.86, showing the superiority of BERT in understanding the semantic context compared to TF-IDF. An important feature analysis identifies financial-related words such as "duitnyaapakah" and "kompensasi" as key issues. This research makes a practical contribution by helping app developers improve the user experience through prioritizing relevant features and solutions to key problems complained of.

Sebuah game dikembangkan dengan melibatkan banyak asset, salah satunya pemanfaatan audio dalam pengembangan game. Pembuatan efek suara dalam sebuah game dilakukan dengan merekamnya secara terpisah dengan proses pengembangan game, hal ini dapat memakan waktu dan sangat tidak efisien untuk diselesaikan. Oleh karena itu, pembuatan efek suara dinamis diperlukan untuk mempersingkat waktu produksi dan menyelesaikan game lebih cepat. Dengan mengkombinasikan audio dengan pemrograman memungkinkan penyajian audio dalam sebuah game dapat disajikan secara dinamis, hal ini dikarenakan dengan algoritma pemrograman audio dapat dikontrol berdasarakan waktu, kejadian dan prilaku tertentu dalam sebuah game. Hasil dari Analisis perform memory browser dalam menjalankan file notasi suara mupun kode frekuensi notasi suara adalah jika dilihat perbadingan rata-rata browser google chorme pada saat penggunaan array memiliki rata-rata 405,92 kb untuk browser google chorme, hal ini menujukkan bahwa terdapat perbedaan yang sanyat besar terhadap penggunaan memory array dalam menjalankan file dan frekuensi. Penggunaan file audio menunjukkan bahwa dalam file load audio membutuhkan memory array yang cukup besar, sedangkan dalam penggunaan frekuensi audio menunjukkan bawah frekuensi load audio tidak membutuhkan memory array yang tidak begitu besar

A construction cost budget is needed to calculate a building or project with the costs required for materials and wages, as well as other costs related to the implementation of the building or project. CV Company. TEGUH SEJAHTERA is a company operating in the construction services sector. CV. TEGUH SEJAHTERA has handled various projects ranging from irrigation construction, buildings, roads, bridges, docks, and other construction services.  Activity Based Budgeting is a budget preparation process that focuses on improving the system used by the organization in order to produce value for customers and focuses on processes that are integral to an organization, as well as being a process of planning and controlling activities expected by the organization to achieve the budget. that is cost-effective and meets workloads in line with organizational goals and strategies. Using the Activity Based Budgeting method can help solve problems in planning budget costs on CV. TEGUH PROSPEROUS Kendal.