RADIANT: Journal of Applied, Social, and Education Studies

Geostatistics Application in 3-D Reservoir Modeling for Calculation of Hydrocarbon Resources, Case Study: North Rembang Area

2023-05-29T06:54:18+00:00

Oil and gas are still indispensable commodities to meet Indonesia's energy needs in the next few decades, even though government policies related to energy transition towards net zero emission have begun to be encouraged. However, the oil and gas requirement is not followed by the availability of reserves or resources owned by Indonesia. The objective of this study is to discover new hydrocarbon resources, through 3-D reservoir modeling using geostatistical method. The geostatistical method is still the best current method to predict the distribution of facies association and reservoir petrophysical properties such as porosity and water saturation. In facies association modeling, a stochastic geostatistical method is used, namely the Truncated Gaussian with Trends (TGS) algorithm. For porosity and water saturation (SW) modeling, the Sequential Gaussian Simulation (SGS) algorithm was applied. The results of 3-D modeling of facies associations, porosity, and water saturation are utilized to estimate gas resources in the North Rembang Area. From the estimation of gas resources, it is recognized that the Rembang Utra Area has accumulated gas resources around 3 TCF.

Cox Proportional Hazard Regression Analysis to Identify Factors Influencing Student Study Period

2023-05-16T04:19:44+00:00

The length of study is the time needed by students to complete their education, which is calculated from the time they enter school until they graduate. In general, a student is considered to graduate on time if he has studied for no more than four years. This study aims to identify the factors that influence the length of study of students using survival analysis with the Cox Proportional Hazard regression model. This study used data from 146 students who were randomly selected enrolled at Sebelas Maret University, Faculty of Mathematics and Natural Sciences, batch 2017 and 2018. The research variables consisted of nine predictor variables that were thought to influence student length of study. The nine factors are gender, major, GPA, university entrance, scholarship, part-time work, region of origin, organization, and committee. The results show that the following factors that significantly influence the length of study of students are majors and GPA. The results of this study have important benefits for higher education administrators and policy makers to develop strategies that can help students complete study programs on time.

Employee Overtime Administration Information System at Production Division 3 PT. Konimex Indonesia

2023-02-07T08:14:21+00:00

Production division of PT. Konimex Indonesia has problems in terms of collecting data on employee overtime hours. This happens because the data collection process is still carried out using notebooks that cause problems, including book media that is easily lost and damaged. The process of collecting overtime hours is also a problem because data collection and counting of hours are still carried out by recording directly in the employee's overtime logbook. In addition, the payroll administration department also has difficulties in the process of preparing employee overtime data reports. Based on these problems, the author formulates a problem, namely how to design and create an employee overtime administration information system. The author gives a limit on this study, which only discusses the payroll system in the production division of 3 PT. Konimex Indonesia. The system inputs that the author discusses are employee data and overtime data. The system output that the author discusses is an employee overtime data report. The author uses the SDLC (System Development Life Cycle) method in the information system developer method. The information system is designed and created using the PHP programming language and the MyQL database. The author's goal in this study is to create an information system for the administration of employee overtime data in the production division that can be used by the administration to process overtime data up to the report creation process.

Implementation of al-Ghazali's Educational Thought at Ilyas Karanganyar Islamic Boarding School

2022-12-28T05:50:10+00:00

This journal aims to find out how the Implementation of al-Ghazali's Educational Thought at the Ilyas Karanganyar Islamic Boarding School. The benefit is for the government and educators to make al-Ghazali's educational thoughts an inspiration and reference in implementing quality Indonesian education. The results of this journal are that the building of al-Ghazali's educational thought is religious-ethical in nature. al-Ghazali's educational goals cover 3 (three) aspects, namely cognitive aspects, affective aspects, and psychomotor aspects. In addition to placing two important things as an educational orientation, namely achieving human perfection to qualitatively get closer to the creator of Allah SWT; and achieve human perfection to achieve happiness in this world and the hereafter. Educators are individuals who master a scientific discipline and are able to practice it as well as human figures who totally concentrate on the field of education. Students are placed as objects as well as subjects and set ten ideal criteria that students must strive for in order to be successful in education. Al-Ghazali mentions four categories of scientific classification, namely; classification of syar'iyah (religious) science and 'aqliyah (reasoning); theoretical and practical sciences; knowledge presented (hudhÃ»ri) and acquired (hushÃ»li); The science of fardhu 'ain and fardhu kifÃ¢yah. Al-Ghazali's teaching method emphasizes that teachers who provide knowledge are required to use exemplary methods and dialogue in the learning process.

Forecasting the Composite Stock Price Index Using Fuzzy Time Series Type 2

2023-05-29T06:30:00+00:00

The movement and fluctuation of the IHSG are one of the references for investors in making investment decisions for buying, selling, or holding share ownership. Forecasting the value of the IHSG can assist investors in making this decision. This study used the fuzzy time series type 2 method to predict the IHSG. This study uses monthly IHSG data for 2017-2021 with 3 variables, namely close prices, high prices, and low prices. In fuzzy time series forecasting, the length of the interval affects the prediction results. This study uses a distribution and average-based method in determining the length of the interval to obtain optimal forecasting results. Based on the calculation of MAPE, the forecasting using average-based and distribution-based interval lengths had errors of 2.56% and 2.46%. The MAPE value shows that the forecasting results from the two methods of taking the length of the interval are very good. The IHSG forecasting results in January 2022 use a distribution-based interval length is 6450 while the IHSG forecasting results in January 2022 use an average-based interval length is 6510. The results of this study indicate that the interval length affects the forecasting results in fuzzy time series.

Keywords: IHSG, fuzzy time series type 2, length of the interval, MAPE