30 research outputs found

    Peranan Ikatan Notaris Indonesia dalam Pembinaan Notaris dan Pengawasan Kode Etik Notaris di Wilayah Sumatera Utara

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    The Indonesian Notarial Association in developing Notaries and supervision of Notarial Code of Ethics through the Notarial Supervisory Council that has the authority to develop Notary\u27s moral and ethics by conducting inspection on the violation against the Code of Ethics and imposing sanction on those who violate them. The role of the Indonesian Notarial Association in developing Notaries and supervising notarial code of ethics in North Sumatera is by giving input to the Notarial education to make the balance in notarial education and profession, providing code of ethics test, providing activity in increasing Notaries\u27 knowledge and morality, providing advocacy and assistance for Notaries who have problems, and imposing sanction on those who violate Notarial Code of Ethics.In implementing notarial development and supervising code of ethics, the Indonesian Notarial Association faces some obstacles: notaries\u27 population, integrity, indifference, and non-transparency toward organization

    ANALYSIS OF THE RELATIONSHIP BETWEEN THE HEAD OF SECTION TO THE PERFORMANCE OF POPULATION CONTROL AND FAMILY PLANNING OFFICIALS IN LABUHAN BATU UTARA DISTRICT IN 2023

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    Health programs and projects are part of efforts to address health problems to improve public health status. The success of health programs and projects is greatly influenced by various factors, including good management in the management and control of a program. The aspect of sustainability in health development has a strategic role in continuing the benefits of health programs and continuing to provide the health services the community needs. The success of any organization in carrying out its various programs is highly dependent on leadership. Good leadership can support the achievement of productivity of employees and support staff within the organization and optimize various organizational functions. This study uses a quantitative approach, observational, cross-sectional design. The number of research samples was 52 respondents who were determined using a purposive sampling method. The instruments used as measuring tools are the Multifactor Leadership Questionnaire-5X (MLQ-5X) and the Individual Work Performance Assessment questionnaire. The research data will be analyzed using univariate and bivariate analysis to see broad descriptions and relationships between variables. There is a significant relationship between transformational leadership played by Heads of Division and improvement of individual employee performance in the aspect of Task Performance with a Pearson Chi-Square value of 22.26 4 and the value of p = 0.000* (p <0.05) So it can be concluded that the more dominant the application of transformational leadership, the better individual work performance in the aspect of carrying out their work tasks

    Comparative Analysis of Elementary School Student Knowledge Regarding Flood Mitigation in the Citarum Watershed

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    Flooding is a natural event, one of which is caused by the overflow of rivers. This disaster often occurs in the Dayeuhkolot area, Bandung Regency. Geographical conditions that are close to the flow of the Citarum River and the plains that are lower than the surrounding area cause this area to be flooded especially during the rainy season. This paper aims to analyze the effectiveness of disaster training given at a young age and analyze the effectiveness of training methods provided in the form of games and PowerPoint media. This activity is aimed at grade 6th students at BojongAsih Elementary School starting with the questionnaire I which functions as a pre-test and ends with questionnaire II which functions as a post-test. Questionnaires were given at the beginning and at the end to see the extent to which the material provided new influence and knowledge to BojongAsih Elementary School students. The results of the questionnaire showed that before counseling about flood mitigation, samples were categorized as having a good knowledge of 91% and having poor knowledge of 9%. After counseling about flood disaster mitigation using games and PowerPoint media there was an increase in knowledge, samples that had good knowledge were 98% and those with less good knowledge were 2%. Based on the pre-test and post-test results, this activity was proven successful in increasing the knowledge of BojongAsihElementary School related to flood mitigation

    Inventory Control for Eyeglass Supply Using the P Model Based on Sales Products Sales Forecasting (Case Study: Merry Optic Bandung)

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    Inventory is a resource owned by the company to be used in the production process to meet consumer demand. Companies must be able to control inventory appropriately in order to avoid excess or shortage of inventory by using inventory control. Inventory control is a necessary part of a company that requires an appropriate inventory policy to meet uncertain needs. Based on this background, this study discusses the single item inventory model in the form of photochromic glasses at Merry Optik to find the optimal total inventory cost. In meeting the uncertain needs of the company, the Additive Decomposition forecasting method is used in order to find out the forecast sales data pattern in the future. Uncertain demand causes the inventory system to be probabilistic, so it is necessary to carry out probabilistic inventory control. The P model of the case of back orders was chosen because the range of ordering periods is fixed and the company can buy inventory when it runs out before the time the inventory order is made so that buyers can wait until the inventory arrives. By using Model P for the case of back orders, the company can obtain the period between orders, the total cost of inventory, and the optimal level of service. Based on the results of this study, a pattern of sales forecast data is obtained which repeats every 12 months. Companies must order glasses within a period of 32 days between orders so that it is optimal and able to provide a reduction in the total inventory cost of IDR 21,828,771 with a service level of 95%. Companies can save on inventory costs if they use shorter periods between orders. The total cost of inventory can be more optimal if the company reduces the cost of storing inventory in the warehouse

    Optimization of Investment Portfolio Mean-Variance Model Using Genetic Algorithm

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    The optimization of investment portfolio is aimed at finding the optimal combination of each stock with the goal of maximizing returns while minimizing risk through diversification. However, the question is how much funds should be invested to achieve the minimum risk. One of the approaches that has proven effective in building an optimal investment portfolio is the Mean-Variance model. The aim of this research is to determine the weights of the optimal portfolio components with the minimum risk. The data used consists of stocks included in the LQ45 index for the period from February 2020 to July 2021. Based on the research results, there are five stocks that form the optimal portfolio, namely ADRO, AKRA, BBCA, CPIN, and EXCL. The allocated weights for each stock are ADRO 9.896%, AKRA 32.049%, BBCA 30.749%, CPIN 13.949%, and EXCL 13.357%. The optimal portfolio generated by the Genetic Algorithm method has a risk of 0.000472 and an expected return of 0.000492

    A COMPARISON OF CENTRALITY MEASURES IN SUSTAINABLE DEVELOPMENT GOALS

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    The Millennium Development Goals (MDGs), which began in 2000 with 8 goal points, have not been able to solve the global problems. The MDGs were developed into Sustainable Development Goals (SDGs) in 2015 with 17 targeted goal points achieved in 2030. Until now, methods for determining the priority of SDGs are still attractive to researchers. Centrality measure is one of the tools in determining the priority goal points on a network by using graph theory. There are four measurements of centrality used in this paper, namely degree centrality, betweenness centrality, closeness centrality, and eigenvector centrality. The calculation results obtained from the four measurements are compared dan analyzed, to conclude which goal points are the most prior and the least prior. Furthemore, in this paper we present other example with simple graph to show that each different centrality calculation possibly resulted different priority node, the calculation of this illustration is done using a Python’s library named Network

    The Comparison of Investment Portfolio Optimization Result of Mean-Variance Model Using Lagrange Multiplier and Genetic Algorithm

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    Investment portfolio optimization is carried out to find the optimal combination of each stock with the aim of maximizing returns while minimizing risk by diversification. However, the problem is how much proportion of funds should be invested in order to obtain the minimum risk. One approach that has proven effective in building an optimal investment portfolio is the Mean-Variance model. The purpose of this study is to compare the results of the Mean-Variance model investment portfolio optimization using Lagrange Multiplier method and Genetic Algorithm. The data used are stocks that are members of the LQ45 index for the period February 2020-July 2021. Based on the research results, there are five stocks that form the optimal portfolio, namely ADRO, AKRA, BBCA, CPIN, and EXCL stocks. The optimal portfolio generated by the Lagrange Multiplier method has a risk of 0.000606 and a return of 0.000726. Meanwhile, using the Genetic Algorithm resulted in a risk of 0.000455 and a return of 0.000471. Thus, the Genetic Algorithm method is more suitable for investors who prioritize lower risk. Meanwhile, the Lagrange Multiplier method produces a relatively higher risk, making it less suitable for investors who expect a small risk.

    The Influence of Operating Cash Flow, Net Income, Depreciation Expenses, and Amortization Expenses on Cash Flow Forecasting at PT. Bank XYZ

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    The cash flow statement is part of a company's financial statements produced in an accounting period that shows the company's cash inflows and outflows. This study aims to analyze the effect of operating cash flow variables, net income, depreciation expense, and amortization expense on forecasting future cash flows. This research uses quantitative research using secondary data with a descriptive approach, which is analyzed using the Multiple Linear Regression method with SPSS assistance. The object used is PT. Bank XYZ for the period January 2019 to February 2023. The results show that operating cash flow affects forecasting future cash flows, net profit does not affect forecasting future cash flows, depreciation expense does not affect forecasting future cash flows, and amortization expense does not affect forecasting future cash flows. However, operating cash flow, net profit, depreciation expense, and amortization expense simultaneously affect the cash flow forecasting results. Based on the forecasting results, which have a MAPE value of 17.43%, it can be concluded that the forecasting results have good forecasting abilities.

    Systematic Literature Review Robust Graph Coloring on Electric Circuit Problems

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    Graph Coloring Problem (GCP) is the assignment of colors to certain elements in a graph based on certain constraints. GCP is used by assigning a color label to each node with neighboring nodes assigned a different color and the minimum number of colors used. Based on this, GCP can be drawn into an optimization problem that is to minimize the colors used. Optimization problems in graph coloring can occur due to uncertainty in the use of colors to be used, so it can be assumed that there is an uncertainty in the number of colored vertices. One of the mathematical optimization methods in the presence of uncertainty is Robust Optimization (RO). RO is a modeling methodology combined with computational tools to process optimization problems with uncertain data and only some data for which certainty is known. This paper will review research on Robust GCP with model validation to be applied to electrical circuit problems using a systematic review of the literature. A systematic literature review was carried out using the Preferred Reporting Items for Systematic reviews and Meta Analysis (PRISMA) method. The keywords used in this study were used to search for articles related to this research using a database. Based on the results of the search for articles obtained from PRISMA and Bibliometric R Software, it was found that there was a relationship between the keywords Robust Optimization and Graph Coloring, this means that at least there is at least one researcher who has studied the problem. However, the Electricity keyword has no relation to the other two keywords, so that a gap is obtained and it is possible if the research has not been studied and discussed by other researchers. Based on the results of this study, it is hoped that it can be used as a consideration and a better solution to solve optimization problems

    Robust Coloring Optimization Model on Electricity Circuit Problems

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    The Graph Coloring Problem (GCP) is assigning different colors to certain elements in a graph based on certain constraints and using a minimum number of colors. GCP can be drawn into optimization problems, namely the problem of minimizing the color used together with the uncertainty in using the color used, so it can be assumed that there is an uncertainty in the number of colored vertices. One of the mathematical optimization techniques in dealing with uncertainty is Robust Optimization (RO) combined with computational tools. This article describes a robust GCP using the Polyhedral Uncertainty Theorem and model validation for electrical circuit problems. The form of an electrical circuit color chart consists of corners (components) and edges (wires or conductors). The results obtained are up to 3 colors for the optimization model for graph coloring problems and up to 5 colors for robust optimization models for graph coloring problems. The results obtained with robust optimization show more colors because the results contain uncertainty. When RO GCP is applied to an electrical circuit, the model is used to place the electrical components in the correct path so that the electrical components do not collide with each other
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