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All Journal Perwira Journal of Science and Engineering (PJSE) Joong-Ki International Journal of Technology and Education Research
agus sugandha
Universitas Jenderal Soedirman
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Environmental Science Languange, Linguistic, Communication & Media Social Sciences Other

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Journal : International Journal of Technology and Education Research

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Multinomial Logistic Regression Model to Analysis Traffic Accident on Indonesia’s Regional Data Agustini Tripena Br Surbakti; Yhenis Apriliana; Agus Sugandha; Agung Prabowo; Sukono Sukono
International Journal of Technology and Education Research Vol. 2 No. 02 (2024): June, International Journal of Technology and Education Research(IJETER)
Publisher : International journal of technology and education research

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Abstract

Traffic accident is one of the highest causes of death in Indonesia following coronary disease and tuberculosis. Traffic accident is classified into three: mild, moderate and severe. The aim of this research was to determine the significant factors causing traffic accidents in Cilacap Regency using multinomial logistic regression. The data used were secondary data from the Resort Police of Cilacap Regency. The research’s response variable was accident classification deemed as a nominal scale, while the predictor variables were day of occurrence, time of occurrence, accident type, accident location, situation, weather problem, number of vehicles involved, and number of victims of nominal, ordinal and ratio scales. The research results show that the accident type, accident location, situation, and number of victim variables significantly influence the three accident classifications.
Time Series Seasonal Autoregressive Integrated Moving Average Model for Analysis of Rainfall Forecasting: Implementation on Agricultural Insurance Agustini Tripena Br Surbakti; Zinedine Amalia Noor Mauludy Reihan; Agung Prabowo; Suroto Suroto; Agus Sugandha; Sukono Sukono
International Journal of Technology and Education Research Vol. 2 No. 02 (2024): June, International Journal of Technology and Education Research(IJETER)
Publisher : International journal of technology and education research

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Abstract

Cilacap is the largest regency located in the southwest of Central Java Province. The rain fall in Cilacap has seasonal variation for monthly period, thus information on rainfall is very important for the Government of Cilacap Regency its people, especially farmers. The usefulness of forecasting method in predicting the volume of rainfall is important. It motivates development of a system that can predict future amount of rainfall. A fluctuation analysis on forecasting result can be used for local government’s policy making purpose. This paper analyses and presents SARIMA method to develop a forecasting model which may support and predict rainfall volume. The dataset for model development was collected from time series data published by Meteorology, Climatology and Geophysics Agency Tunggul Wulung Station from January 2009 to December 2022. The data were divided into data training (to December 2021) and data testing (January to December 2022) groups. The use of data training produced SARIMA model (2,0,2)(0,0,1)12 as the selected model. The model achieved 0.70% for MAPE using data testing. It indicated the final model’s capability to closely represent and made prediction based on the rainfall history dataset. The model produced was used to forecast the rainfall from January 2023 to December 2024. The forecast results were analyzed in relation to agricultural insurance program.
Co-Authors Agung Prabowo Agustini Tripena Agustini Tripena Br Surbakti Desy Fitriah Rahmah Guruh Aditya Himawan Guswanto, Bambang Hendriya Ika Silfiana Arifatul Khoiriyah Ika Silfiana Arifatul Khoiriyah Irfan Azkamahendra Mashuri Mashuri Putri Bilqis Suroyya Riri Rioke Rosiyanti Rosiyanti slamet riyadi Sukono Sukono Sukono Sukono Suroto Suroto Suwali Veronika Ines Nugraheni Yhenis Apriliana Zinedine Amalia Noor Mauludy Reihan