Publication Search

Economic activity becomes a benchmark in the assessment of the community to achieve prosperity, and becomes a supporter and driver of growth in the surrounding area. Vim Village, Abepura District is one of the service activity centers that has a land use that is so complex and strategically located that it triggers various forms of economic activity, becoming an attraction for people to travel for transportation, especially along Jalan Perkutut. This study examines the relationship of micro-economic activities with traffic performance obtained from side barriers, vehicle volume and road capacity. The research methods used to achieve the objectives are quantitative methods and qualitative methods. The quantitative method uses the analysis of the Indonesian Road Capacity Manual (MKJI, 1997) to obtain vehicle volume, road capacity and traffic performance. The qualitative method uses descriptive analysis that discusses the comparison of the distribution of micro-economic activities that affect side barriers, the comparison of two traffic performance results and spatial planning plans along the Perkutut road. The results showed that the increase in the number of micro-economic activities at night along Jalan Perkutut had an effect on increasing the number of side barriers and the volume of vehicles. In addition, the imbalance in the volume of vehicles and road capacity shows that Perkutut Road traffic performance is experiencing congestion as indicated by the Service Level Index (ITP) with a value of F. Under these conditions, spatial planning for the road network, pedestrian pedestrian arrangement and land use arrangement is needed, especially on microeconomic activities.

This research analyzes cryptocurrency fundamentals during the pandemic COVID-19 significantly affected cryptocurrencies during a brief period of financial panic. Technological advances resulted in the shift of traditional currencies towards digitalization. Volume and market cap variables are used as independent variables. The cryptocurrencies in this study are Bitcoin, Ethereum, Binance Coin, Ripple, and Dogecoin, which have the top 10 largest market capitalization. The research data was taken on the CoinMarketcap.com website from the beginning of the pandemic in Indonesia in March 2020 – to February 2021. The results showed that the Market Cap of Bitcoin, Ethereum, Binance Coin, Ripple, and Dogecoin had a significant effect on the price. Furthermore, the volume of Bitcoin, Ethereum, Binance, and Dogecoin has an effect and is significant on the price. In comparison, Ripple Volume has no effect and is not significant to the price. This implies that highly speculatively priced cryptocurrencies have the same fundamental value as stock prices.

Hypertension or high blood pressure is a non-communicable disease that is one of the main causes of premature death worldwide. Generally, hypertension is found in people with old age, but in its development, hypertension also affects people of reproductive age, such as women of childbearing age. This study aimed to analyze the risk factors for hypertension in WUS in the working area of ​​the Naibonat Health Center. The type of research used is quantitative, with a case-control study approach. The case population in this study was 511 WUS, then 55 case samples were taken using a simple random sampling technique, and 55 control samples were taken from the respondent's closest neighbors. The data obtained were analyzed using the chi-square statistical test. The dependent variable in this study was hypertension, while the independent variables were age, family history, use of hormonal contraception, obesity, and stress. The results showed that three variables had a relationship with hypertension in women of childbearing age, namely age (p=0.000, OR=7.111), family history (p=0.002, OR=3.710), and physical activity (p=0.000, OR=4.495). in comparison, the use of hormonal contraception, obesity and stress did not have a relationship with the incidence of hypertension in women of childbearing age. The Puskesmas is expected to increase efforts to prevent hypertension by optimally improving services, especially in increasing public knowledge about hypertension so that people can maintain normal blood pressure and can avoid risk factors that can cause hypertension.

The research seeks to reveal the perspective of the truth about God, is library research with a philosophical inquiry approach. Primary data sources are from the Al-Qur'an and hadith, strengthened by secondary data from other literature, then analyzed for interpretation, comparison and reflection. The research resulted in the conclusion: Proving the truth of God is not only a topic of discussion for Western philosophers, but also Muslim philosophers and theologians, such as Muslim philosophers and theologians who were followers of the Mu'tazilah and al-Ash'ariyah. This proof is divided into two propositions, First, Argument a novitate mundi (dalil al-huduts), which emphasizes the temporality of the universe, and has actually been used popularly by Muslim theologians with a general procedure, proving the temporality of the universe, second, the postulate of possibility (dalil al-imkan), focuses on arguments from contingency. These two proofs confirm that God is real. In this way, the thoughts of Muslim philosophers increasingly strengthen the existence of the reality of God. After the formula for the nature of salbiyah is applied to all Gods, it can be seen that all Gods are void Gods, except Allah SWT who is true.  

Face recognition is an area that is still being researched and improved for various purposes such as attendance, population data collection, security systems and others. Two methods that are often used for face recognition applications are artificial intelligence methods, especially back-propagation neural networks (ANN) and learning vector quantization. Both of these techniques are directed learning techniques that are widely used to identify distinctive patterns, namely grouping patterns into groups of patterns, making them ideal for use in facial recognition applications. In this application, preprocessing of the input image includes the detection process of scaling, grayscale, edged with the sobel and threshold methods, carried out before the image is processed in ANN. Meanwhile, the ANN approach used to identify faces involves the Backpropagation method and the Learning Vector Quantization method. The findings of this analysis are a comparison of the backpropagation neural network method and quantization of the learning vectors of face recognition used to assess variations, limitations, strengths and optimal results of the two techniques for use in facial recognition systems.    

Mental health is very influential in the teaching and learning process, therefore it is important to maintain mental health so that the learning process runs effectively, one way to heal mental disorders such as emotional wounds is to do self-healing. This study discusses the comparison of the implementation of self-healing in Islamic boarding school students and students in public formal schools. By using a comparative research method with a qualitative approach and the data obtained through filling out a questionnaire (questionnaire) and interviews of 5 students and 5 students of state junior high schools. The results of the study show that there are differences in the implementation of self-healing in junior high school students and students based on where they are, the conditions and situations they are experiencing, students use self-healing more by drawing closer to Allah and putting their trust in God, while junior high school students are more able to do self-healing. Self-healing that students cannot do, such as using a mobile phone, is due to the rules that exist in Islamic boarding schools.