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FORECASTING CATEGORY IN PUBLIC SCHOOL STAFF STUDENTS AND SPENDING IN 2018 WITH COMPARISON METHOD Cholifatur Rozzika; Amrina Rosyada; Wanda Alifiyah Pramesti; Dwi Rolliawati
Jurnal Sistem Informasi dan Informatika (Simika) Vol 6 No 1 (2023): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/simika.v6i1.2409

Abstract

Education is one of the efforts to develop capabilities and shape the character and civilization of a dignified nation. Increasingly expensive education costs require parents to prepare more maturely. Therefore, the purpose of this study is to show forecasting of rill costs per student in 2018 using the Timeseries Public School Staff, Students, and Spending 1970-2017 data. In this study, the ARIMA and the SVM model are used to forecast rill costs per student in 2018. ARIMA is one of the simplest models and the most widely used method. This model will be compared using machine learning, namely SVM. From the experimental results that compare the performance of SVM and ARIMA. In the calculation above, the MAPE results from the Arima and SVM models are 0.142 and 0.0029. Whereas for RMSE the results of the ARIMA calculations obtained results of 36.625, while for SVM the RMSE results obtained were 7.470. The results of the study concluded that the SVM model has a better performance in predicting crude oil prices compared to the ARIMA method.
Resources Orchestration to Realizing Global Competitive Universities Yusuf Amrozi; Wanda Alifiyah Pramesti; Cholifatur Rozzika; Nasihatul Latifah
MONETARIUM: Journal of Economics Business and Management Vol. 1 No. 2 (2024): MONETARIUM: Journal of Economy Business and Management
Publisher : PC Ikatan Sarjana Nahdlatul Ulama Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71155/fmgf3981

Abstract

Resource orchestration can be an important pioneer in creating competitive advantage in organizations, including world-class universities. There are two dimensions to resource orchestration, namely resource management and asset orchestration. This study aims to look at the implementation and contribution of resource orchestration in the environment of state Islamic religious universities in Indonesia in realizing globally competitive universities. The research method used is descriptive-qualitative, with data collected from interviews, observations, and analysis of related documents at six state Islamic universities. The results showed that the leadership ability of the leaders of state Islamic universities is very decisive in orchestrating resources to encourage the performance of higher education towards globally competitive universities.