Smart waste management and recycling have become critical issues in urban planning and environmental sustainability due to the increasing volume of waste generated by modern societies. In this study, we investigated the performance of Support Vector Machine (SVM) and Neural Network (NN) methods in an Arduino-based waste sorting system. Our testing phase revealed exceptional performance, with SVM achieving an accuracy of 92% and NN achieving 96%, alongside perfect precision, recall, and F1-score metrics. The consistent True Positive (TP) results across all waste categories underscored the system's capability to accurately direct waste into correspondingcolored bins. These findings highlight the significance of automated waste management systems in promoting effective waste sorting practices and facilitating sustainable recycling efforts. Moreover, advancements in technology and machine learning algorithms offer promising prospects for further enhancing the efficiency and scalability of such systems, thereby contributing to a cleaner and healthier environment for future generations. Future research in smart waste management could focus on exploring additional machine learning algorithms, advanced sensor technologies, and Internet of Things integration. Investigating alternative algorithms beyond SVM and NN, adopting advanced sensors like hyperspectral imaging or lidar, and incorporating IoT devices for real-time monitoring could enhance waste sorting accuracy and scalability.

Breast cancer is cancer that forms in the cells of the breast. It is the most common cancer in women and the leading cause of cancer deaths in women worldwide. Breast cancer is usually divided into two types: benign, or usually called benign and malignant, or usually called malignant. Benign cancers are usually characterized by small, round, tender lumps. In the fields of medicine, finance, marketing, and social science, data mining is a popular tool for performing proven analysis. This study will compare K-Nearest Neighbor (KNN), Naive Bayes, and Decision Tree C4.5 approaches for classifying breast cancer. The problem of this research is which algorithm has a high level of accuracy that can be used with breast cancer datasets and can provide information about patterns or models for early detection of breast cancer. The results of the research conducted using CRISP-DM show that K-Nearest Neighbor (KNN) has the highest accuracy value with 97.14% and its AUC value is 0.976. The AUC value also showed excellent classification, with an AUC value between 0.90 and 1.00.

Diagnostic codification must fulfill 10 characteristics of quality data, namely one of which is accurate, namely the truth and validity of data values. External Causes are external causes of fracture cases which classify based on the place and activity of the incident. It is very important that external causes codes are documented in medical record files for financing analysis, health services and reporting. The purpose of this study was to determine the accuracy of the fracture diagnosis code and external causes at Mardi Waluyo Hospital, Blitar City in 2021. The research method used a retrospective descriptive. The sampling technique is simple random sampling, with 52 samples. The implementation of coding at Mardi Waluyo Hospital, Blitar City, was carried out by coder officers and was in accordance with the policies and standard operating procedures at the hospital. The level of accuracy of the fracture diagnosis code with a percentage of 85% is included in the category that needs improvement and external causes with a percentage of 6% is included in the unsatisfactory category. The inaccuracy of the external causes code is caused by the use of the 5th character or the activity code that has not yet been coded. The inaccuracy of the officers in coding caused the resulting code to be inaccurate, so it was suggested that filling out medical record documents must be filled in completely and clearly to support proper and accurate coding of fractures and external causes so as to produce a better percentage of accuracy.

Hypertension is a problem throughout the world and is one of the main risk factors for cardiovascular disease. Hypertension or high blood pressure can be caused by several factors, both factors that can be changed and cannot be changed. This study aims to find out the percentage of the population with hypertension who receive health services in each region in West Nusa Tenggara province based on age and gender. This research method uses a descriptive research type with samples, namely data on residents suffering from hypertension in 10 districts in West Nusa Tenggara (NTB) Province in 2019-2021 with a sampling technique, namely a non-probability technique of purposive sampling type. The research results showed that of the 119,500 participants consisting of men and women, the majority of participants were over 18 years old. male participants numbered 135,453 while the number of women was 142,889. The results of the research obtained a distribution of respondents based on gender between men (62,09%) and women (74,79%). Hypertension in teenagers needs to be watched out for. Suggestions, it is necessary to carry out early prevention efforts related to diet and lifestyle in adolescents, including: changing diet, limiting the use of salt to 4-6 grams per day, foods containing baking soda, seasonings and food preservatives, reducing food intake. which contains high cholesterol, stop smoking, drinking alcohol, and exercise regularly.

Penelitian ini yang menjadi objek adalah perusahan sub sektor konsumsi pada perusahaan manufaktur yang terdaftar pada Bursa Efek Indonesia (BEI) tahun 2020-2023. Di Indonesia sendiri perusahaan manufaktur sub sektor konsumsi sangat berkembang dengan pesat, hal ini dapat dilihat dari perusahaan yang terdaftar di Bursa Efek Indonesia dari tahun ke tahun semakin banyak. Sehingga peneliti ingin mengetahui pengaruh dari ROA (Return on Aset), ROE (Return On Equity), DER (Debt To Equity Ratio), dan CR (Current Ratio) terhadap harga saham pada perusahaan manufaktur sektor konsumsi yang terdaftar di Bursa Efek Indonesia selama periode 2020-2023. Populasi penelitian mencakup seluruh perusahaan manufaktur pada sektor konsumsi yang sudah terdaftar di BEI dengan tahun data yang di ambil 2020 sampai dengan 2023 berjumlah 180, kemudian untuk analisis data dilakukan menggunakan aplikasi SPSS versi 23. Untuk teknik pengambilan sampel penelitian ini ialah menggunakan teknik non-probabilitas dengan metode purposive sampling, selanjutnya terkumpul 60 sampel penelitian berdasarkan data dari 15 perusahaan manufaktur dengan periode waktu selama 4 tahun.  Hasil penelitian ini menunjukkan bahwa variabel pada ROA, ROE, DER, dan CR memiliki pengaruh yang positif serta signifikan terhadap harga saham. Temuan ini tentu relevan untuk perusahaan sektor makanan dan minuman yang terdaftar di BEI selama periode tahun 2020 sampai dengan tahun 2023.

The Internet of Things (IoT) is transforming the education sector by connecting devices, environments, and people to improve learning experiences. This paper investigates the integration of IoT technologies in schools, such as smart classrooms, connected learning tools, and automated systems for student tracking. The study highlights how IoT enhances the learning environment, improves operational efficiency, and provides real-time feedback for both students and teachers.
 

This research examines the application of International Humanitarian Law in armed conflicts and the involvement of countries in blockades to promote peace. It reveals that Humanitarian Law is enforced through the 1977 Additional Protocol, which governs international and non-international armed conflicts. The study also highlights Israel’s use of retaliatory Cast Lead operations in response to Hamas rocket attacks, which pose a threat to Israeli citizens’ safety. A narrative review is a research method that defines a topic, searches for relevant literature, organizes it, analyzes findings, and presents results in narrative form. It is suitable for broad overviews and provides flexible analysis. The ancient state of Israel, established by Shaul around 1025 BC, faced conflicts with the Palestinian nation, leading to the rise of groups like Fatah, Hamas, and the Palestine Liberation Organization. The Israeli Navy declared a blockade of the Gaza Strip in 2009, but the status of occupation remains questionable. International Humanitarian Law (IHL) is needed to protect victims affected by the conflict, and law enforcement mechanisms include diplomatic settlements, criminal investigations, and warnings. International Humanitarian Law is consistently respected and enforced, despite ongoing breaches, particularly in armed conflicts. Blockades, such as Israel’s infringement on Gaza, have resulted in widespread pain and loss of lives, highlighting the need for a more balanced approach to conflict resolution.

HIV and AIDS are very dangerous diseases, and they are a serious concern for the government of the NTB province. The spread of this disease is almost throughout the NTB province. Data from the NTB Provincial Health Office in 2021 shows that the health centers with the highest number of HIV and AIDS cases are among males. This research aims to determine the percentage of the population who died due to HIV/AIDS based on age and gender in the NTB province in 2020. The research method used is a qualitative descriptive research method. Qualitative descriptive research is used to determine the percentage of the population who died due to HIV/AIDS based on age and gender in the NTB province in 2020. Researchers used interviews and documentation. Respondents were selected using purposive random sampling, where the researchers themselves determined who would be the informants for the study. The results of the research show that there are people who are concerned and active in dealing with AIDS, but many are not involved in AIDS prevention due to various factors. Combating AIDS requires active participation from multiple parties, including the government, the community, those who are infected, and those who are affected.

Child labor is a term for employing children under 18 years of age. Child labor is the exploitation of a child for work usually on a low salary without other guarantees. The background of child labor due to poverty causes children to have to work to support their families. This research uses descriptive qualitative method, seeks to describe the causes of children working and the impact of children working. The research was carried out in Indramayu Regency, Sukabumi Regency, Ponorogo Regency, Malang Regency, Central Lombok Regency as the locations that contributed a lot of migrant workers abroad. The number of respondents was 150 children working in the informal sector, including migrant workers. The background of workers comes from poor families with low parental education levels. The findings of the cause of working children are parental poverty due to low parental education levels, lack of work skills, low income. The impact of working children experiencing exploitation includes 70% working more than 9 hours, getting wages but being cut without the child's knowledge, getting wages but not in accordance with the minimum wage standard, the promised work is not in accordance with reality (67%), loss of communication with parents 83%, and the occurrence of violence in the workplace such as discomfort, coercion, threats, prone to sexual harassment (50%). The impact of working children has a contribution to their family as much as 80%. Recommendations need to prevent the exploitation of child labor through empowering poor families in pockets of poverty. Preventive protection measures mean that the state, government, local governments, communities, families, and parents or guardians are fully responsible and obliged to implement child protection.
 
 

This study aims to compare and predict the prevalence of Diabetes Mellitus (DM) in various sub-districts and healthcenters in West Nusa Tenggara (NTB) between 2018 and 2022. The data was sourced from the Disease Management Section of the West Nusa Tenggara Provincial Health Office. The research examines the number of individuals with DM and the percentage of DM patients receiving healthcare services according to established standards. In 2018, 2019, and 2020, there was an increase in the number of patients with DM in across West Nusa Tenggara. The population of DM patients increased annually from 2018 to 2022, with the most significant increase in 2018 and 2019. However, the number of DM patients who received healthcare services according to standards was decreased in 2019. This suggests a pressing need to enhance the healthcare system in West Nusa Tenggara to improve access and the quality of care for individuals with DM. This study offers valuable insights into the challenges and advancements in healthcare services for DM patients in West Nusa Tenggara. The findings of this study serve as a foundation for improved policies and more effective health programs aimed at the issue of Diabetes Mellitus in the West Nusa Tenggara region.