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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) SEIKO : Journal of Management & Business YUME : Journal of Management Aksara: Jurnal Ilmu Pendidikan Nonformal Literatus The Eastasouth Management and Business Klabat Accounting Review Klabat Journal of Management JER

Niel Ananto

Faculty Of Economics And Business Universitas Klabat

Author-ID : 5541777

Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Physics Social Sciences Other

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Title

ARIMA METHOD MODELING IN PREDICTING THE DAILY STOCK PRICE OF PT GARUDA INDONESIA DURING THE COVID-19 PANDEMIC Niel Ananto; Cherry Lumingkewas
Klabat Journal of Management Vol 3 No 1 (2022): Klabat Journal of Management
Publisher : Faculty of Economics and Business, Universitas Klabat

The main purpose of this research is to create a predictive model of the ARIMA method on the daily stock price of PT. Garuda Indonesia, Tbk during the Covid-19 pandemic. This study uses daily secondary data from April 22, 2019, to April 20, 2020. The results of research using the ARIMA model shows that data from April 22, 2019, to April 20, 2020, can be used to predict stock closing prices from April 21, 2020, to July 13, 2020. The ARIMA model obtained the results of daily stock price predictions of PT. Garuda Indonesia, Tbk on the Indonesia Stock Exchange from 21 April 2020 to 13 July 2020 tend to experience a decline. This is presumably because investors tend to hold back their capital due to the government's prohibition on going home, which resulted in the cessation of operations in the aviation sector. Keywords: Covid-19, Garuda Indonesia, stock price, ARIMA method.

Ensemble Analysis of the Students Length of Study at University of Klabat Manado Indonesia Niel Ananto
Klabat Journal of Management Vol 2 No 2 (2021): Klabat Journal of Management
Publisher : Faculty of Economics and Business, Universitas Klabat

The purpose of this study is to classify the student's length of study based on the status of graduating on time or not on time based on several independent variables observed, namely gender, Grade Point Average (GPA), place of residence, type of parents occupation and school origin. The statistics used in this study is non-parametric statistics with a classification analysis method. The classification analysis is to find a training set model of the training set that distinguishes records into appropriate categories or classes. The method used is classification using ensemble techniques. The basic principle of the ensemble method is to develop a set of models from training data and combine a set of models to determine the final classification. The final classification is based on the largest collection of votes from a combination of a set of models. To get the best combination of models, the ensemble method enables the use of several different classification models. The ensemble method used in this study is Bagging and Boosting. Keywords: Ensemble Analysis, Classification, Bagging, Boosting, Students Length of Study, Indonesia.

Co-Authors Ani Budi Astuti Aprilia Nurul Azizah Baso Intang Sappaile Cherry Lumingkewas Danny Ivan Rantung Efendi Efendi Hartini Pop Koapaha Hartiny Pop Koapaha Jimmy H Moedjahedy Nindi Dwike Bella Astari Noldin Jerry Tumbel Nouke Sysca Oroh Sabil Shapely Ambalao Toetik Wulyatiningsih Ubaidillah Utiarahman, Nurnaningsih Wahongan, Moody

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