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The Keuliling Dam has an important role in meeting water supply needs in the surrounding area. After operating for more than 10 years, an evaluation of operation and maintenance performance is required to ensure its continued function. This research aims to analyze the condition of the Keuliling Dam through assessing the condition index for each dam component based on primary and secondary data. The assessment is carried out by providing a condition index value that reflects the level of damage to the safety aspects and environmental performance of the dam. The results of the analysis show that the condition index value for the Keuliling Dam is 4, which is included in the minor damage category. This condition indicates the need for maintenance action to prevent further damage. Based on observations, deposition of material and rubbish is one of the main problems that affects dam performance. This research provides an important basis for managers in determining strategic steps to improve the performance of dam operations and maintenance. The evaluation carried out aims to ensure that the Keuliling Dam can continue to function optimally, support water supply, and minimize the risk of more serious damage. It is hoped that the recommendations from this research can become a reference in managing dams effectively and efficiently.

In general, the definition of sport is a person's physical and psychological activity which aims to maintain and improve the quality of health. Sport is very important for human life. The reason is, regular exercise has a positive impact on physical development. Not only does it have a positive impact on a person's physical development, but it also has an impact on their mental development. This effect increases the efficiency of the body's organs, normalizes blood circulation, breathing and digestion. One of the efforts to find out how much public awareness there is about sports is that the Tangerang City Government, through the Youth and Sports Department, is carrying out a derivative program from the Ministry of Youth and Sports, namely socializing the Sports Development Index related to where this program can be a benchmark for how fit the people of Tangerang City are. The implementation will be held on November 21 2024, which will coincide in the Cisadane Building Hall, Tangerang City.

Human Resource Development (HRD) is one of the main priorities in realizing the progress of a region. The Human Development Index (HDI) is one of the indicators used to measure the quality of HRD. This study aims to analyze the quality of HRD in Gorontalo Province using the HDI as the main indicator. Secondary data from the Central Statistics Agency (BPS) were analyzed to measure three dimensions of the HDI, namely health, education, and decent living standards during the period 2019-2023. The results of the study showed an increasing trend in the HDI across all regions, although at varying rates. Gorontalo City recorded the highest HDI value, reflecting better development quality compared to other districts. Meanwhile, North Gorontalo had the lowest HDI, although there was an increase from year to year. Further analysis showed that significant disparities in the dimensions of health, education, and per capita expenditure between urban and rural areas were major challenges. This study suggests the need for equitable development through increasing access to health services, quality education, and economic infrastructure to reduce disparities between regions. These findings are expected to contribute to more inclusive policy-making for HRD development in Gorontalo Province.

Abstrak. Di Provinsi Bali sektor pariwisata merupakan salah satu penopang kehidupan sosial ekonomi sehingga dinilai sebagai faktor utama yang menjadi pendorong kesejahteraan masyarakat Bali. Kesejahteraan masyarakat adalah salah satu tujuan sustainable development goals (SDGs) dan merupakan cerminan dari keberhasilan pembangunan yang dilakukan oleh pemerintah, diukur dengan menggunakan indeks pembangunan manusia (IPM). Penelitian bertujuan untuk menganalisis pengaruh langsung tingkat pendidikan, investasi, dan angkatan kerja terhadap PDRB pada kabupaten/kota di Privinsi Bali danterhadap kesejahteraan masyarakat pada kabupaten/kota di Provinsi Bali, serta menganalisis pengaruh tidak langsung tingkat pendidikan, investasi, dan angkatan kerja terhadap kesejahteraan melalui PDRB pada kabupaten/kota di Provinsi Bali. Jenis data yang digunakan yaitu data kuantitatif dengan sumber data sekunder Tahun 2018-2023 yang diperoleh dari BPS Provinsi Bali. Teknik analisis data yang digunakan adalah path analysis dan analisis deskriptif. Adapun hasil penelitian tingkat pendidikan, investasi, dan jumlah penduduk yang bekerja berpengaruh positif signifikan terhadap PDRB kabupaten/kota di Provinsi Bali. Tingkat pendidikan, angkatan kerja dan PDRB berpengaruh positif dan signifikan terhadap kesejahteraan masyarakat kabupaten/kota di Provinsi Bali, sedangkan investasi berpengaruh negatif dan signifikan serta tingkat pendidikan, investasi, dan jumlah penduduk yang bekerja berpengaruh secara tidak langsung terhadap kesejahteraan masyarakat melalui PDRB kabupaten/kota di Provinsi Bali.

This research aims to determine the effect of the human development index and economic growth on unemployment and poverty in Aceh. This research uses secondary data with a time series of 2013-2022 with the scope of Jogjakarta province. This research model uses a path analysis model using the Eviews application. The results of this research show that the number of labor force directly has a positive and insignificant effect on the level of poverty. The human development index directly has a negative and significant effect on the poverty level The number of labor force directly has a negative and significant effect on the unemployment rate. The human development index directly has a positive and significant effect on unemployment. The poverty level directly has a positive and insignificant effect on the unemployment rate. Indirectly, the number of labor force has a negative and insignificant effect on unemployment through poverty. Indirectly, the human development index has a negative and insignificant effect on unemployment through poverty.

This study aims to analyze the effect of BI Rate, Rupiah exchange rate, and accounting profit on the Composite Stock Price Index (IHSG) in Indonesia. As one of the main indicators in the capital market, IHSG reflects the overall stock market performance and is influenced by various macro and micro economic factors. BI Rate as the reference interest rate, Rupiah exchange rate as an indicator of currency exchange rate, and accounting profit as a measure of company performance have high relevance to the movement of IHSG. This study uses a literature review method by referring to various previous studies that discuss the relationship between these variables. The results of the analysis show that the three variables have a significant influence on IHSG, both directly and indirectly. BI Rate and Rupiah exchange rate affect IHSG through financial market mechanisms, while accounting profit is more related to investment decisions and individual company performance. These findings provide insight for investors, policy makers, and academics to understand the dynamics of the relationship between economic indicators and stock market performance in Indonesia.

This study analyzes the effect of the Gender Empowerment Index and the Open Unemployment Rate on the Human Development Index in Central Kalimantan, with the Realization of years of schooling as a mediating variable. The analysis method used is WarpPLS 7.0 to test the relationship between variables. The results of the study indicate that the Gender Empowerment Index and the Open Unemployment Rate have a significant effect on the Realization of years of schooling, which ultimately affects the Human Development Index. Although the direct effect of the Gender Empowerment Index and the Open Unemployment Rate on the Human Development Index is not significant, the indirect effect through the Realization of years of schooling shows a strong and significant relationship. These findings emphasize the importance of education as a key factor in improving the quality of life of the community, which is reflected in the Human Development Index. This study also reveals that policies that support gender empowerment and reduce unemployment can contribute to improved education and better human development, in line with sustainable development goals.

This study aims to analyze the effect of income inequality, human development index, and minimum wage on poverty in Aceh Province. It uses secondary data in the form of time series for the period 2009-2023, published by the Central Statistics Agency (BPS) of Aceh Province. The data analysis method employs multiple regression analysis using Eviews 10 software. The results show that income inequality has a negative and insignificant effect on poverty in Aceh Province. Furthermore, the human development index (HDI) has a negative and significant effect on poverty in Aceh Province. Meanwhile, the minimum wage has a positive and insignificant effect on poverty in Aceh Province. Simultaneously, income inequality, the human development index (HDI), and the minimum wage significantly affect poverty in Aceh Province.

This study aims to analyze the effect of capital expenditure and Human Development Index (HDI) on economic growth in Indonesia. Using time series data from 2011 to 2023 sourced from Indonesia's Central Bureau of Statistics (BPS), this study applies the multiple linear regression method using the Eviews 10 program. The results show that capital expenditure has a positive and significant influence on economic growth, while HDI has a positive but insignificant influence. Simultaneously, these two variables contribute significantly to economic growth with an R-squared value of 60.14%. This study emphasizes the importance of efficient capital expenditure management and efforts to improve the quality of human resources to support inclusive and sustainable economic growth.

The Human Development Index is an indicator of the progress of a region. Achieving development cannot be separated from the quality of people in a region. To see the extent of success in human development, the United Development Program (UNDP) has issued an indicator, namely the Human Development Index (HDI). HDI is a benchmark for achieving higher quality human development. There are three basic dimensions as a reference for measuring the Human Development Index, namely including a long and healthy life, knowledge, and a decent standard of living. This research aims to see the influence of Poverty, Gini Index, and Economic Growth on the Human Development Index in South Aceh Regency 2009 - 2023. The data used in this research is secondary data in the form of a time series taken from the last 15 years sourced from the Agency. South Aceh Regency Statistics Center (BPS) using a quantitative approach. The method used is multiple linear regression analysis. Based on the research results, it can be concluded that poverty has a positive and significant influence on HDI. The Gini Index has a negative and insignificant influence on HDI. Economic Growth has a positive and insignificant influence on HDI in South Aceh Regency 2009-2023.  

In the world of investment, there is a strong correlation between risk and return. An investor must be aware of the risks that arise and the expected rate of return. The rate represents the risk of betting on a particular stock; if the rate for the stock is marginal, it also represents the risk for the stock. The purpose of the reverse listing is to determine the effect of Stock Prices on Stock Returns. Reverse listing is a type of associative listing that uses a quantitative approach. The data used in the reverse listing is the latest stock price obtained from the official website of the Indonesian Stock Exchange (IDX). The population in the reverse listing is all companies listed on the LQ 45 Index from January 2022 to December 2022, totaling around 83 companies. The sample of the initial release is based on the criteria that have been set and used by approximately 10 companies. The initial release was carried out on all companies listed in the LQ 45 Index from January 2022 to December 2022, totaling approximately 83 companies. The initial release sample is based on the criteria that have been set and used by approximately 10 companies.

Indonesia is committed to achieving zero hunger as one of the goals of fulfilling the Sustainable Development Goals (SDGs) where this commitment focuses on addressing the problem of food availability but also ensuring that every individual has access to sufficient, nutritious, and safe food throughout the year for everyone. However, reviewing the current conditions in Indonesia, there is still an imbalance in food availability that will cause food vulnerability. Therefore, a prediction of food vulnerability in the future is needed where discriminant analysis is one of the appropriate statistical methods to analyze qualitative dependent and quantitative independent variables. This study uses secondary data from the official website of the food agency and the central statistics agency. The results of the study show that the characteristics of the data have small variations, asymmetric distribution, and there are outliers in several categories. The assumptions of multivariate normality, the suitability of the dependent variables, and the identity of the variance-covariance matrix have been met. Through discriminant analysis, the variables of the percentage of poverty and the percentage of households with access to clean drinking water are proven to significantly affect the IKP category. The discriminant model produces one significant function that is able to group the IKP category with a model accuracy rate of 86.8% and a classification accuracy of 64.7%.

The development of digital technology has resulted in significant transformation in various aspects of life, especially in the economic sector. A region's ability to obtain, utilize and process information has a major impact in stimulating increased economic growth. Despite technological advancements, not everyone benefits equally. The purpose of this study is to explore the role of digitalization in driving economic growth in a region, by utilizing secondary data from BPS for the period 2015–2022 using the panel data regression method. The research findings show that for smartphone users, the Human Development Index (HDI) has a significant positive impact on economic growth. The number of internet users has a significant negative impact on economic growth. On the other hand, the workforce shows that there is no significant influence on the economic growth of the province of Java.

This research aims to find out whether HDI and economic growth have an effect on poverty in Pidie Regency, Aceh Province in the 2010-2023 period. The approach in this research is quantitative using multiple linear regression analysis methods. The Aceh Central Bureau of Statistics (BPS) data source uses Time Series data. . The results of this research show that HDI partially has a negative and significant effect on poverty in Pidie Regency, and Economic Growth has a positive and insignificant effect on partial poverty in Pidie Regency. And simultaneously HDI and Economic Growth have a positive and significant effect on poverty in Pidie Regency.    

The Water Quality Index (WQI) shows the condition of water quality in an area based on the status of water quality resulting from the measurement of physical, chemical and bacteriological parameters of a water body both rivers and lakes. Several machine learning techniques can be used to predict water quality in an area, one of which is through the prophet model approach which is able to provide fairly accurate predictions for the water quality index in Indonesia. The main objective of this research is to obtain a WQI prediction value as a baseline in the formulation of future environmental control activity policies using the prophet model. The result is that the predicted value of IKA for 2021-2023 generated through machine learning with the prophet model approach shows that the Mean Absolute Error (MAE) value: 7.01, Root Mean Square Error (RMSE): 8.61 and Mean Absolute Percentage Error (MAPE): 13.06%, which means that IKA prediction with the prophet model is effective in capturing annual patterns between historical data and future predictions.    

Anemia is a condition experienced by the body when red blood cells have hemoglobin levels less than the normal limit (<12 gr/dl). Adolescent groups, especially young women, are susceptible to anemia because they menstruate every month. One of the factors causing anemia in adolescent girls is poor nutritional status. Wrong eating habits, such as being lazy about eating and liking to eat fast food instead of home-cooked food, cause insufficient nutrition, thus affecting the nutritional status of young women. The aim of this research is to determine the relationship between Body Mass Index (BMI) and hemoglobin levels in adolescent girls.  This type of quantitative research uses a cross sectional method. The population is 406 young women from the Mamboro Community Health Center Area High School. The sample was 89 female students with a sampling technique, namely cluster random sampling. Data analysis uses the Chi Square test. The results of the study showed that the majority of young women with BMI were thin at 56.2% and there was a relationship between BMI and hemoglobin levels of young women with a P-Value of 0.000 <0.1. The conclusion of the study is that there is a relationship between BMI and hemoglobin levels in adolescent girls.

Pengelolaan kinerja forklift di Gudang Terminal Peti Kemas Semarang memiliki peran penting dalam keefektifan stripping barang impor Less Container Load (LCL). Tujuan penelitian (1) mengetahui hasil perhitungan nilai rata-rata availability ratio pada kinerja forklift dalam kegiatan stripping di Gudang Terminal Peti Kemas Semarang, (2) mengetahui hasil perhitungan nilai rata-rata performance ratio pada kinerja forklift dalam kegiatan stripping di Gudang Terminal Peti Kemas Semarang, (3) mengetahui hasil perhitungan nilai rata-rata quality ratio pada kinerja forklift dalam kegiatan stripping di Gudang Terminal Peti Kemas Semarang, (4) mengetahui hasil perhitungan nilai rata-rata Overall Equipment Effectiveness (OEE) di Gudang Terminal Peti Kemas Semarang. Metode penelitian yang digunakan adalah metode Overall Equipment Effectiveness (OEE) melalui tahapan-tahapan perhitungan (1) perhitungan data penurunan waktu forklift tahun 2023 (2) perhitungan nilai availability ratio (3) perhitungan nilai performance ratio, (4) perhitungan nilai quality ratio, (5) perhitungan nilai indeks Overall Equipment Effectiveness (OEE). Nilai rata-rata availability ratio adalah -0,1616666 %, dimana standar JIPM > 90 %, sehingga hasil menunjukkan ketersediaan forklift tahun 2023 rendah. Penyebabnya bulan Juni forklift mengalami kerusakan mpu board sehingga menjalani perbaikan selama 720 jam untuk waiting part modul fet fm dan board comp dan bulan Juli forklift mengalami kerusakan mesin forklift sehingga menjalani perbaikan selama 744 jam. Nilai rata-rata performance ratio adalah 106,7925 %, dimana standar JIPM > 95 %, sehingga hasil menunjukkan forklift memiliki kemampuan yang baik dalam pengangkutan produk. Nilai rata-rata quality ratio adalah 100 %, dimana standar JIPM > 99 %, menunjukkan kualitas pengangkutan barang baik. Nilai indeks Overall Equipment Effectiveness (OEE) adalah 9,99483 %, dimana standar JIPM > 85 %, menunjukkan produksi memiliki nilai yang rendah.

Tujuan penelitian ini untuk menganalisis bagaimana kebijakan suku bunga memengaruhi return saham di Indonesia, dengan mempertimbangkan data historis, teori keuangan, dan fenomena terkini di pasar saham. Penelitian ini menggunakan pendekatan kuantitatif dengan data sekunder berupa data suku bunga, indeks harga saham gabungan (IHSG), dan return saham individu dari periode tertentu. Analisis yang digunakan oleh peneliti untuk mengetahui pengaruh masing-masing variabel menggunakan teknik analisis regresi linier sederhana. Berdasarkan analisis data historis, ditemukan adanya hubungan negatif yang signifikan antara suku bunga dan return saham. Ketika suku bunga naik, return saham cenderung turun. Kebijakan suku bunga rendah yang diterapkan selama pandemi COVID-19 memberikan momentum positif bagi pasar saham. Kebijakan suku bunga memiliki pengaruh signifikan terhadap return saham di Indonesia. Perubahan suku bunga memengaruhi biaya modal dan ekspektasi investor, yang pada akhirnya tercermin dalam pergerakan harga saham. Oleh karena itu, investor dan pelaku pasar perlu terus memantau kebijakan suku bunga dan faktor ekonomi lainnya untuk memaksimalkan keuntungan dan meminimalkan risiko dalam investasi. Kata kunci : suku bunga

In the era of globalization, schools are required to be able to adapt to the rapid development of technology. One important aspect that needs to be considered is school data management. A good information system is not only able to manage student attendance data and book inventory, but can also help in making more effective decisions. SMK Negeri 1 Banyumas, which is the focus of this research, is expected to be an example of how a school can utilize information technology to improve the quality of its services

The real source of a country's riches and an essential component of its development are its people. We can determine the extent to which human resources are of high quality from the perspectives of the economy, health, and education thanks to the HDI. DKI Jakarta is the province in Indonesia with the highest HDI, while Papua and West Papua have the lowest HDIs. Both provinces get special funding known as special autonomy funds and are recognized as special autonomous areas. Even after Papua was given special autonomy funds twenty years ago, it is still the province in Indonesia with the lowest HDI. Improving the Human Development Index (HDI) mostly depends on spending in the areas of economy, health, and education. This study looks at the impact of spending on the economy, health, and education as well as local government expenditure (DOK) on the HDI. Using secondary data from the Directorate General of Fiscal Balance (DJPK) and the Central Statistics Agency (BPS), panel data regression is the study methodology employed. The study's findings show that DOK has a favorable impact on the HDI, as does spending on the economy, health, and education