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In 2020, non-communicable diseases (NCDs) accounted for 73% of global causes of death, claiming the lives of 36 million people annually. The rising rates of morbidity and mortality are influenced by hypertension. One of the most prevalent cardiovascular disorders in the world today is hypertension.The research objective was to determine the correlation between knowledge with compliance with taking medication for hypertension sufferers at the Wonogiri Public  Health Center in North Lampung Regency. This research type is quantitative using a cross-sectional design with a population of 471 people. The sampling technique used purposive sampling of 83 respondents. The statistical tests used are Gamma and Logistic Regression. The study findings demonstrated a significant correlation between knowledge and hypertension patients' compliance to taking their medications (p-value=0.000).

PT XYZ is a company based in South Jakarta, focused on providing smart logistics solutions using Logistics Information Systems in its business. Researchers want to measure the influence of Logistics Information Systems on Goods Delivery Efficiency. In this research, the researcher used a quantitative descriptive research method using a questionnaire as a research instrument and distributed it to 15 users of the PT XYZ Logistics Information System using a simple random sampling technique in sampling. Results from this research show a relationship (R) of 0.816. The coefficient of determination (R Square) was obtained at 0.666. The calculated F value = 25.926 with a significance level of 0.001 < 0.05. The constant value (α) is 6.601, while the Logistics Information System variable value (b / regression coefficient) is 0.828. The tcount value is 5.092 > ttable 2.131. This means that there is an influence between the Logistics Information System variable (X) on the Goods Delivery Efficiency variable (Y).

This study aims to examine and analyze the influence of institutional ownership, characteristics of the board of commissioners on risk management disclosures on the existence of a risk management committee (RMC). The population in this study are mining companies and various industries listed on the IDX in 2021, namely 102 companies. The sampling technique uses a purposive sampling method and the results are only 45 companies that are included in the sample criteria. Data analysis technique uses logistic regression. The test results show that institutional ownership and independent commissioners have no effect on the existence of a risk management committee (RMC), while education, experience and disclosure of risk management have an effect on the presence of a risk management committee (RMC). These results indicate that risk management should be carried out by the company to develop a follow-up strategy so that business continuity is maintained under the supervision of the board of commissioners and included in the company's annual report.

This module discusses the application and statistical analysis using Stata software for Two Stage Least Square (TSLS), Probit, Logit and Tobit models. These models are very useful for overcoming problems of endogeneity, censored data, and binary dependent variables in econometric analysis. This paper aims to provide practical guidance for estimating and interpreting the results of the four models using hypothetical case studies. The demonstration results are discussed critically to provide guidance for readers in applying these models to quantitative research.

Petrophysical evaluation of the Baturaja Formation on limestone reservoirs of the Field X, using conventional well log interpretation techniques and relating the results to core data based on laboratory analysis, shows that the reservoir characterization parameters to decide future plan for the well. This study shows the role of integrated petrophysical analysis it is possible that an acceptable and can be completed within the constraints and limitations of the available data, but sometimes additional data are needed. These new data, typically additional SCAL (Special Core Analysis), RCAL (Routine Core Analysis), well test data and mud loging data it’s must be integrated. The results of research based on petrophysical parameters is baturaja formation are dominated by limestone. Based on the results of the analysis, the reservoir layer in the baturaja formation, the BRF-1 is a potential hydrocarbon zone while the BRF- 2 and BRF-3 are non-potential zones. The BRF-1 has an average shale volume is 0,187 which is classified as clean formation, a porosity is 0,134 which is classified as small and for a water saturation is 0,677. The calculation method used is the Archie method because it excels in clean formation. Meanwhile, the Simandoux method has advantages in shaly sand formation and the Indonesian method is suitable for formations in Indonesian regions where the dominant formations are shaly sand and low salinity water. Then, cuf-off for BRF-1 obtained a net reservoir of 25.9 m and a netpay of 3,4 m. The results of this data are used to obtain the initial hydrocarbon reserves using the volumetric method and the amount reserves are 84740.5 STB in the BRF-1 zone.

Administrative process optimization is a systematic effort to improve efficiency, productivity, and quality in the execution of administrative tasks within the company, while facilities management and demand for goods and logistics focus on improving operational efficiency and effectiveness, which will apply the WBS method to decompose complex tasks into more manageable components. This analysis is expected to increase visibility, engagement, and understanding of each stage in the administrative, facilities management, and logistics management processes, enabling more targeted and impactful change implementation. Overall, this research is geared towards achieving improved performance and efficiency at PT XYZ through the application of WBS methodology in the context of the company's administration and logistics.    

In this review, the creator features research on multiple ways of enhancing the improvement of electrical control framework execution in working on the exhibition of electrical gadgets. This examination plans a voltage stabilizer utilizing a Programmable Logic Controller (PLC) TM221ME16R with a comparator framework. The assessment procedure utilized is to utilize a composed study by taking a gander at books, journals and different works that can be utilized as purposes behind research, with instructive arrangements it will fabricate researchers' understanding and foster data about the issues brought up in the exploration. The technique in view of enhancement with these limitations has likewise been applied to agent electric power frameworks. The adequacy of these devices in working on the unique execution of the framework has been affirmed through the aftereffects of eigenvalue computations. Further confirmation has likewise been brought out through time-area reproductions where shortcoming conditions have been utilized to start framework homeless people.

Administrative process optimization is a systematic effort to improve efficiency, productivity, and quality in the execution of administrative tasks within the company, while facilities management and demand for goods and logistics focus on improving operational efficiency and effectiveness, which will apply the WBS method to decompose complex tasks into more manageable components. This analysis is expected to increase visibility, engagement, and understanding of each stage in the administrative, facilities management, and logistics management processes, enabling more targeted and impactful change implementation. Overall, this research is geared towards achieving improved performance and efficiency at PT X through the application of WBS methodology in the context of the company's administration and logistics

The researcher is interested and aims to investigate and analyze the mechanism for handling problematic financing implemented by Bank Sumut Syariah, especially at KCP Kota Baru Marelan. This research adopts a type of field research with a focus on phenomena or symptoms that occur in the field related to problematic financing in Sharia Home Ownership Credit (KPR) products provided by PT. Bank Sumut Syariah, especially at the Sub-Branch Office (KCP) Kota Baru Marelan. The results of this research are based on observation and scientific logical analysis of data collected from the field. Based on in-depth discussions, Bank Sumut Syariah, especially at KCP Kota Baru Marelan, has implemented a mechanism for handling problematic financing by paying attention to sharia principles. This process involves proactive communication, involvement of sharia experts, and customer openness. Customers, as represented by Mrs. Nilam Kurnia, gave positive testimony regarding the bank's approach in handling problematic financing.

Algorithms and programming play a crucial role in problem solving and software development. The origin of the word "algorithm" comes from "algorism," and its history can be traced to Abu Ja'far Muhammad Ibn Musa Al-khuwarizmi. This article presents definitions of algorithms from several sources, such as Kani (2020), Jando &; Nani (2018), Munir & Lidya (2016), and Sismoro (2005). The programming algorithm, as a series of logical and systematic steps, becomes the core in Troubleshooting. The research method applied is descriptive and qualitative, by collecting information from various sources, including books, journal articles, and research reports. The discussion in this article covers the significance of algorithms in everyday life and their application in computer programming. In addition, this article details the basic concepts of algorithms, the role of programming languages, and algorithm representation techniques. In the discussion section, it was revealed that algorithms involve logical and systematic steps to solve a task or problem. The basic structure of the algorithm includes repetition, branching, and sequential order. Programming languages contribute to simplifying human interaction with computers, increasing productivity, as well as facilitating software maintenance and development. Algorithms can be represented in the form of descriptive sentences, pseudocode, or flowcharts. Flowcharts use symbols to illustrate the steps of solving a problem. Repetition, branching, and sequential structures can be clearly described through flowcharts. This article provides a comprehensive overview of algorithms and programming, giving readers insight into the basic concepts, implementation, and importance of algorithms in the context of computer programming.

Algorithms and programming play a crucial role in problem solving and software development. The origin of the word "algorithm" comes from "algorism," and its history can be traced to Abu Ja'far Muhammad Ibn Musa Al-khuwarizmi. This article presents definitions of algorithms from several sources, such as Kani (2020), Jando &; Nani (2018), Munir & Lidya (2016), and Sismoro (2005). The programming algorithm, as a series of logical and systematic steps, becomes the core in Troubleshooting. The research method applied is descriptive and qualitative, by collecting information from various sources, including books, journal articles, and research reports. The discussion in this article covers the significance of algorithms in everyday life and their application in computer programming. In addition, this article details the basic concepts of algorithms, the role of programming languages, and algorithm representation techniques. In the discussion section, it was revealed that algorithms involve logical and systematic steps to solve a task or problem. The basic structure of the algorithm includes repetition, branching, and sequential order. Programming languages contribute to simplifying human interaction with computers, increasing productivity, as well as facilitating software maintenance and development. Algorithms can be represented in the form of descriptive sentences, pseudocode, or flowcharts. Flowcharts use symbols to illustrate the steps of solving a problem. Repetition, branching, and sequential structures can be clearly described through flowcharts. This article provides a comprehensive overview of algorithms and programming, giving readers insight into the basic concepts, implementation, and importance of algorithms in the context of computer programming.

This research examines the application of the Analytical Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods in determining the best graduate students in the Ners Professional Study Program at Muhammadiyah University of East Kalimantan. The third step of the AHP method involves converting the values in the pairwise comparison matrix to decimal form, which is then normalized to calculate the priority weight of each criterion and sub-criteria. Next, checking the logic of the criteria and designing AHP-TOPSIS for ranking were carried out. The analysis showed that AHP resulted in 5 ranking changes with a percentage change of 4.4%, while TOPSIS resulted in 3 ranking changes with a percentage change of 3.9%. From these results, the AHP-TOPSIS method proved to have an accuracy of 83.00%. This article also presents a comparison between AHP, TOPSIS, and AHP-TOPSIS methods, where the best student selected is Dinda Ayu Framaisella. This research provides practical guidance for decision makers in solving multi-criteria problems and contributes to the selection of the best graduate students with a comprehensive and accurate approach.

To create a superior generation, every student must receive character education in order to become an individual who is not only intelligent but also has good character. This research aims to find out whether learning programming algorithms has character values ​​that can be adopted by students. This research uses a qualitative research method with a literature study type of research. From the results of the analysis, it can be seen that learning programming algorithms has character values ​​that students can apply in everyday life, where through this learning, students can be trained to think systematically, logically, creatively and also carefully. And of course, by learning programming algorithms, students are required to be able to solve the problems they face.

In the context of the Hajj pilgrimage in Bali, the government's role takes center stage. The background involves a surge in the number of pilgrims wishing to perform Hajj, juxtaposed with limited facilities and supporting infrastructure in the region. The research problem revolves around assessing the effectiveness of the government's initiatives in facilitating and regulating the Hajj pilgrimage in Bali, encompassing regulatory measures, accommodation infrastructure, and pilgrim management. The evaluation of the government's role reveals that their efforts have enhanced the quality of services and comfort for Hajj pilgrims, although challenges persist regarding capacity and logistical management. In conclusion, the government's role is pivotal in ensuring the success of the Hajj pilgrimage in Bali by improving infrastructure, enacting appropriate regulations, and enhancing inter-agency coordination. The novelty of this work lies in its in-depth analysis of the government's concrete measures to enhance the quality of the Hajj pilgrimage in Bali, along with providing constructive recommendations for future improvements.

The existence of digital transformation in the development of the world, makes the maritime industry increasingly rely on technology to carry out navigation, communication, and logistics intermediaries. As the maritime industry continues to adopt digitalization and adapt, the need for strategy as well as strengthening cybersecurity becomes critical for the country. The increase in cybercrime and its vulnerabilities should make Indonesia more aggressively address or anticipate this problem. Although it is proven that indonesia in its initiation of a cybersecurity strategy has increased, Indonesia is seen as still lacking to show the nation's commitment in terms of cyber security, when compared to data from NCIS (National Cyber security Index) from 2016-2023 Indonesia is still far below its neighbor, Malaysia, which is also a maritime country. Through a qualitative approach, this article aims to explain the urgency of cybersecurity in the maritime sector, highlighting challenges and solutions to protect ships, ports, and maritime infrastructure from cyber threats in Indonesia.

During childhood, the development of a child involves several key aspects. Firstly, the physical development aspect encompasses the skeletal and muscular systems, as well as the development of motor skills. Secondly, health and safety become important focuses by providing adequate physical exercise to meet national targets and prevent children's inactivity. The processing of information and intelligence in cognitive development emphasizes repetition, organization, comparison, and the emergence of information. The division of intelligence into emotional and spiritual intelligence provides an additional dimension to understanding child development. Piaget's approach, particularly the concrete operational stage, describes a phase in which children use operations and logical reasoning in concrete situations. Lastly, in cognitive development, language becomes an important tool for communication, both in oral and sign forms.

This research aims to determine the improvement of the logistics ecosystem both from exports and imports at Pelindo Multi Terminal Belawan. Where Pelindo Belawan is the largest port in North Sumatra, however, due to the improvement in the logistics ecosystem, many goods have to transit before arriving at the Belawan Port dock. Apart from that, it can carry out port activities appropriately and maximize aspects of office effectiveness in order to create work comfort and optimal performance for its employees. If employees and service users who work feel comfortable and satisfied then their performance at Pelindo Multi Terminal Belawan will also be good. This study uses a qualitative method.

Early childhood plays an important role in forming the basis of development, which involves stimulation of various aspects such as moral religious values, social emotional, language, cognitive, and physical motor skills. The concept of early childhood learning is focused on play, where every activity is designed to be play, so that learning becomes more effective. Parents also need to understand today's children's education to interact with children positively. This research focuses on sentiment analysis of children's education-based app reviews on the Google Play Store, using Random Forest and Logistic Regression methods. The review data is taken from three apps with the theme of child development, namely "About Kids", "PrimaKu", and "Teman Bumil", with a range of review years between 2018 and 2023. The test results show that Logistic Regression has higher accuracy compared to Random Forest, especially in the "About Kids" and "PrimaKu" applications with accuracy above 90%. The conclusion of this research highlights the importance of sentiment analysis in improving understanding of user responses to children's education applications, with suggestions for future research to increase the number of datasets and variations in testing schemes by tuning hyperparameters to improve prediction accuracy and more optimal results.

This research proposes a combination of Quantum Key Distribution (QKD) based on the BB84 protocol with Improved Logistic Map (ILM) to improve data transmission security. This method integrates quantum key formation from BB84 with ILM encryption. This combination creates an additional layer of security, where by default, the operation on BB84 is only XOR-substitution, with the addition of ILM creating a permutation operation on quantum keys. Experiments are measured with several quantum measurements such as Quantum Bit Error Rate (QBER), Polarization Error Rate (PER), Quantum Fidelity (QF), Eavesdropping Detection (ED), and Entanglement-based detection (EDB), as well as classical cryptographic analysis such as Bit Error Ratio (BER), Entropy, Histogram Analysis, and Normalized Pixel Change Rate (NPCR) and Unified Average Changing Intensity (UACI). As a result, the proposed method obtained satisfactory results, especially perfect QF and BER, and EBD, which reached 0.999.

Indonesia is entering a critical period for mental health. Research results from the The Indonesia National Adolescent Mental Health Survey (2022), around 15,5 million Indonesian teenagers experience mental health disorders. Students are part of late adolescence and are vulnerable to mental disorders. The binary logistic regression model is used to examine in more depth what variables have a significant effect. So, this research aims to predict mental health of students in the Faculty of Health Sciences, Pekalongan University. This type of research is observasional with a cross-sectinal design. Data were collected using the SRQ-20 via the Google Form platform using simple random sampling of 186 students. There were 130 students who indicated mental health disordes (69,9%). Simultaneously age, gender, major, semester level, mother’s educational level, father’s educational level, social support and dependence on using smartphone influence student’s mental health status (P Value<0,05). Even though only a few variables were partially significant, the precision percentage of the model that could be predicted correctly was 71,5%. The accuracy of the predicted model is quite good, namely student mental health status (y) = -3,720 + 2,403 (Major) – 1,980 (Mother’s Educational Level) + 1,444 (Father’s Educational Level) + 0,888 (Dependence on using Smartphone). Promotive and preventive interventions such as further screening and education to support student’s healthy mental health.