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All Journal EKSAKTA: Journal of Sciences and Data Analysis AJIE (Asian Journal of Innovation and Entrepreneurship) Unisda Journal of Mathematics and Computer Science (UJMC) PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Indonesian Journal of Electrical Engineering and Computer Science Enthusiastic : International Journal of Applied Statistics and Data Science Khazanah: Jurnal Mahasiswa Emerging Statistics and Data Science Journal
Rahmadi Yotenka
Universitas Islam Indonesia
Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences

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Journal : Unisda Journal of Mathematics and Computer Science (UJMC)

 1 
Implementasi Long Short-Term Memory Pada Harga Saham Perusahaan Perkebunan Di Indonesia Rahmadi Yotenka; Fazano Fikri El Huda
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 6 No 01 (2020): Unisda Journal of Mathematics and Computer science
Publisher : Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v6i01.1927

Abstract

The decline and increase in the price of shares of plantation companies is a problem for investors in making decisions to buy or sell shares. Factors influencing the movement of plantation stock prices include CPO commodity price fluctuations, world oil price fluctuations, Rupiah exchange rate fluctuations, government regulations and policies, demands from importing countries, and climate. Forecasting stock prices is expected to help investors to deal with uncertainty in the movement of plantation stock prices. This study applies the Long Short-Term Memory (LSTM) to predict the stock prices of plantation companies using SSMS, LSIP, and SIMP share price data from the period 1 July 2014 - 22 July 2019. Based on the results of the study it was found that the best LSTM model on SSMS shares by using the RMSProp optimizer and 70 hidden neurons produced an RMSE value of 21,328. Then the best LSTM model on LSIP stock by using Adam optimizer and 80 hidden neurons produces an RMSE value of 33,097. Whereas the best LSTM model on SIMP shares using Adamax optimizer and 100 hidden neurons produced an RMSE value of 8,3337.
Faktor-Faktor Yang Mempengaruhi Nilai Konstruksi Di Indonesia Dengan Regresi Poisson dan Regresi Binomial Negatif Juan Sheptiadi Efendi; Rahmadi Yotenka
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 7 No 1 (2021): Unisda Journal of Mathematics and Computer science
Publisher : Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v7i1.2451

Abstract

Abstract. The construction sector is one of the drivers of national economic growth, contributing 10.6% to the National GDP. The capitalization value of the construction sector continues to increase from year to year due to an increase in the industrial sector in the private sector and infrastructure acceleration programs launched by the government in several provinces. However, this has led to a lack of equitable distribution of infrastructure development in several other provinces. To help the government carry out equitable infrastructure development, which can then help the national economy, an analysis is needed to find out what factors affect the construction value of each province in Indonesia. The relationship between the value of the construction and the factors that influence it can be determined by regression analysis. The regression analysis method used in this study is Poisson regression and negative binomial regression. Negative binomial regression is performed specifically to overcome overdispersion in Poisson regression. After the analysis, the results of the factors that have a statistical influence on the value of construction in Indonesia (NK) are the number of workers in each province (JTK) and the number of construction companies in each province (JP) with a pseudo R2 value of 0.978 or 97.8%.
Spasial Data Panel Dalam Menentukan Faktor-Faktor Yang Berpengaruh Terhadap Jumlah Kasus Demam Berdarah Dengue (DBD) Anisa Nabila; Rahmadi Yotenka
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 7 No 2 (2021): Unisda Journal of Mathematics and Computer science
Publisher : Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v7i2.2845

Abstract

Dengue Fever (DF) is an infection caused by the dengue virus, which several types of mosquitoes can spread. Indonesia has become a dengue-endemic area since 1968 and has spread in 34 provinces with 416 districts and 98 cities. In 2015 there were 126,675 cases of dengue fever in Indonesia, an increase in 2016 to 200,830 cases; the following year, it decreased to 59,047 cases. Then the cases have fluctuated every year. This study aims to look at the factors that influence dengue cases in Indonesia, especially on the islands of Java and Bali. This is because during the last five years (2015 – 2019) the highest dengue cases in Java & Bali were in Indonesia. The method used in this research is spatial analysis of panel data with the best model of SAR (spatial autoregressive models). The results of this study are the percentage of districts/cities that implement policies for healthy areas, the percentage of poor people, and health facilities have a significant effect on the number of dengue cases in Java & Bali.
Co-Authors -, Nabilah Aniq Fauziyah Akbar, Ashabul Akbar Maulana Anisa Nabila Baiq Nina Febriati Baritoadi Buldan Rayaganda Rito Dian Widya Lestari Dian Farrel Rafa Akbar Fazano Fikri El Huda Juan Sheptiadi Efendi Lazuardy Ilham Effendie Maulana, Rachel Hapidz Muhaimin Muhaimin Muhammad Muhajir Muhammad Muhajir Muhammad Muhajir, Muhammad Muttaqin, Faza Izzatul Novendri Isra Asriny Nugrahaini, Asa R.A. Nurul F.A. Asnawi Ramadani, Zahra Rizky Sekti Kartika Dini Suparna Tarisya Qurrota A'yuni