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Application of the ARIMAX Model in Assessing the Impact of Global Stock Price Index on Forecasting Indonesia's IHSG Marzuki, Marzuki; Riswanda, Muhammad; Nurhasanah, Nurhasanah; Rusyana, Asep
Transcendent Journal of Mathematics and Applications Vol 3, No 1 (2024)
Publisher : Syiah Kuala University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/tjoma.v3i1.38775

Abstract

Time series analysis can be classified into two parts when viewed based on the analysis data variables, namely univariate and multivariate time series analysis. The ARIMAX model is the development of the ARIMA model. The ARIMAX model is a multivariate time series analysis method consisting of exogenous and endogenous variables. This study aims to forecast the Composite Stock Price Index (IHSG) using the ARIMAX model, by looking at the influence of global stock price indices, namely the American stock price index (DJIA), Japanese stock price index (N225), and Chinese stock price index (SSEC). The results of the study show that the model used to forecast the 2019 IHSG is the ARIMAX model (4,1,4). The results of the 2019 IHSG forecast produce fluctuating data. The highest IHSG share price of 6,958.419 occurred in November, while the lowest share price of 6.591.566 occurred in January. Forecast accuracy measured using RMSE and MAPE obtained results of 144.5387 and 2.5121 respectively.
STUDI KARAKTERISTIK PROSES PIROLISIS CEPAT RDF-5 BEBRBAHAN DASAR LIMBAH AREN DAN KOPI DENGAN PENGIKAT LIMBAH PLASTIK TERHADAP KUANTITAS BIO-OIL Riswanda, Muhammad; Saputro, Herman; Wijayanto, Danar Susilo
Nozel : Jurnal Pendididikan Teknik Mesin Vol 4, No 4 (2022)
Publisher : Fakultas Keguruan dan Ilmu Pendidikan Universitas Sebelas Maret Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/nozel.v4i4.72277

Abstract

Currently, the Indonesian people are faced with various problems in terms of waste management, both organic and inorganic waste. Some of the wastes that can be used are palm waste, coffee grounds and HDPE plastic waste which can be used as alternative fuels, one of which is through the pyrolysis process. Pyrolysis is a process of chemical decomposition of a material thermally in the absence of oxygen. This pyrolysis process converts RDF-5 biomass into a liquid smoke product in the form of bio-oil. This study aims to determine the quantity of pyrolysis oil through the best variation of the composition ratio used. In this study used composition ratio variables, namely 50%:30%:20%, 40%:40%:20%, and 30%:50%:20%. The results of this study obtained the best quantity from a mixture ratio of 50% palm waste, 30% coffee grounds and 20% HDPE plastic to produce 200 ml. The composition ratio affects the quantity of pyrolysis oil results. RDF-5 from palm waste and coffee grounds with HDPE plastic waste binder produces a quantity that tends to decrease as the composition ratio of palm waste waste decreases.