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All Journal Madani: Multidisciplinary Scientific Journal Parameter: Jurnal Matematika, Statistika dan Terapannya
Siregar, Revina
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Analisis Variabel-Variabel yang Memengaruhi Kemiskinan di Nusa Tenggara Timur Tahun 2023 F, Fatimatuzzuhra; Purwoto, Agus; Ikhsan, Muh. Ruhul; Siregar, Revina; Khairunnisak, Zahra
Madani: Jurnal Ilmiah Multidisiplin Vol 2, No 6 (2024): Madani, Vol 2, No. 6 2024
Publisher : Penerbit Yayasan Daarul Huda Kruengmane

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.12171075

Abstract

One of the main problems in Indonesia is poverty. According to the Indonesian Central Statistical Agency, by 2023, East Nusa Tenggara Province (NTT) is one of the provinces with a high number of poor people with a total of 1.1 million poor people. The causes of high poverty in East Nusa Southeast province need to be investigated. The study aims to find out the general picture of poverty and the variables that are supposed to affect it, as well as the significant variables affecting poverty in East Nusa Tenggara Province in 2023. The method used in the research is multiple linear regression. The results of the analysis showed that the economic growth variable (PDRB) and the unemployment rate (TPT) had a negative and significant impact on poverty, while education (average school age) and human development index (IPM) had no significant impact. The R-square value of this study is 0.567 which means that 56.7 percent of the diversity of the poverty variable can be explained by the economic growth variables, education, the human development index, and the unemployment rate, while the remaining 43.3 percent are described by other variables that do not fit into the model.
APPLICATION OF THE ARIMA MODEL IN FORECASTING ETHEREUM PRICES Mangiwa, Romario Desouza Daniel; Siregar, Revina; Sari, Seli Delima; Agustina, Neli
Parameter: Jurnal Matematika, Statistika dan Terapannya Vol 4 No 1 (2025): Parameter: Jurnal Matematika, Statistika dan Terapannya
Publisher : Jurusan Matematika FMIPA Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/parameterv4i1pp81-94

Abstract

Ethereum is one of the leading cryptocurrencies utilizing blockchain technology for peer-to-peer financial transactions. This study aims to forecast Ethereum's price using the Autoregressive Integrated Moving Average (ARIMA)model. Historical price data from January 1, 2023, to January 15, 2025, covering 534 periods, was analyzed. The ARIMA (0,1,9) model was selected based on AIC, SC, and Adjusted R-squared criteria, with forecast evaluation showing a Mean Absolute PercentageError (MAPE) of 15.01% and a Root Mean Squared Error (RMSE) of 649.702. Forecast results indicate an upward trend in Ethereum's price over the next 30 periods, with fluctuations being less pronounced compared to historical data. The study concludes that ARIMA provides reasonably accurate short-term predictions, although forecasting errors increase with longer prediction periods. These findings can serve as a reference for investors in developing short-term investment strategies for Ethereum.
Co-Authors F, Fatimatuzzuhra Ikhsan, Muh. Ruhul Khairunnisak, Zahra Mangiwa, Romario Desouza Daniel Neli Agustina Purwoto, Agus Sari, Seli Delima