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All Journal Kubik KUBIK: Jurnal Publikasi Ilmiah Matematika Jurnal Pendidikan dan Pembelajaran Indonesia (JPPI)
Siti Aisyah
Universitas Islam Negeri Sunan Ampel Surabaya
Computer Science & IT Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Mathematics Other

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Penerapan Extreme Learning Machine Dalam Meramalkan Harga Minyak Sawit Mentah Siti Aisyah; Nurissaidah Ulinnuha; Abdulloh Hamid
KUBIK Vol 7, No 2 (2022): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v7i2.20460

Abstract

The need for crude palm oil has increased due to the large demand for vegetable oils in various parts of the world. Beginning in March 2022, the price of crude palm oil set a record high which caused international cooking oil prices to soar, especially for Indonesia. This study aims to predict the price of crude palm oil with test parameters, namely hidden neurons and activation functions. The method used is Extreme Learning Machine (ELM). This method is a development of the artificial neural network (ANN) method which can overcome weaknesses in the learning speed process. There are several stages in this study: (1) pre-processing the data by normalizing the data and dividing the data using the time series split method, (2) analyzing the data using the ELM method by testing parameters, namely hidden neurons and activation functions, (3) analyzing the results of the best parameter trials, (4) calculating forecasting data using the best parameters that have been obtained, and (5) analyzing the forecasting results that have been obtained. This study uses daily data on the price of crude palm oil from April 1 2021 to April 14 2022 obtained from the Investing website. The results of the research that has been carried out obtained MAPE and RMSE values of 0.0173 and 0.0308 with the best parameters namely the number of hidden neurons of 5 and the binary sigmoid activation function. Based on the results obtained, it is hoped that it will make it easier for the government to determine the price of crude palm oil in the future.
Penerapan Extreme Learning Machine Dalam Meramalkan Harga Minyak Sawit Mentah Siti Aisyah; Nurissaidah Ulinnuha; Abdulloh Hamid
KUBIK Vol 7, No 2 (2022): KUBIK: Jurnal Publikasi Ilmiah Matematika
Publisher : Jurusan Matematika, Fakultas Sains dan Teknologi, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kubik.v7i2.20460

Abstract

The need for crude palm oil has increased due to the large demand for vegetable oils in various parts of the world. Beginning in March 2022, the price of crude palm oil set a record high which caused international cooking oil prices to soar, especially for Indonesia. This study aims to predict the price of crude palm oil with test parameters, namely hidden neurons and activation functions. The method used is Extreme Learning Machine (ELM). This method is a development of the artificial neural network (ANN) method which can overcome weaknesses in the learning speed process. There are several stages in this study: (1) pre-processing the data by normalizing the data and dividing the data using the time series split method, (2) analyzing the data using the ELM method by testing parameters, namely hidden neurons and activation functions, (3) analyzing the results of the best parameter trials, (4) calculating forecasting data using the best parameters that have been obtained, and (5) analyzing the forecasting results that have been obtained. This study uses daily data on the price of crude palm oil from April 1 2021 to April 14 2022 obtained from the Investing website. The results of the research that has been carried out obtained MAPE and RMSE values of 0.0173 and 0.0308 with the best parameters namely the number of hidden neurons of 5 and the binary sigmoid activation function. Based on the results obtained, it is hoped that it will make it easier for the government to determine the price of crude palm oil in the future.
Konsep Lingkungan dan Media Sosial dalam Pendidikan Islam Perspektif Hasan Langgulung Siti Aisyah; Nur Amalina Wafi' Azizah; Abd. Rachman Assegaf
Jurnal Pendidikan dan Pembelajaran Indonesia (JPPI) Vol. 5 No. 1 (2025): Jurnal Pendidikan dan Pembelajaran Indonesia (JPPI), 2025 (1)
Publisher : Yayasan Pendidikan Bima Berilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53299/jppi.v5i1.809

Abstract

Pendidikan Islam adalah suatu proses yang bersifat holistik, yang tak hanya terbatas dalam mengtransfer pengetahuan agama, namun juga melibatkan pembentukan karakter dan moralitas individu. Konteks ini, lingkungan memainkan peran penting dalam membentuk pemahaman dan praktik keislaman seseorang. Menurut Hasan Langgulung, seorang pemikir Islam yang terkemuka, lingkungan bukan hanya sekadar tempat fisik di mana pendidikan berlangsung, tetapi juga mencakup aspek sosial, budaya, dan spiritual. Serta, menjadikan media sosial sebagai penyampaian dakwah Islami. Penelitian ini menggunakan pendekatan kualitatif dengan telaah kepustakaan, sumber data dilihat dari pemeriksaan dan pemahaman dari teori yang didapatkan. Artikel ini mengeksplorasi hakikat dan peran lingkungan dan media sosial dalam pendidikan Islam menurut pandangan Hasan Langgulung, dengan menyoroti pentingnya lingkungan yang membangun lingkungan pendidikan Islam yang kondusif bagi pertumbuhan dan perkembangan spiritual, serta menjadikan media sosial sebagai peningkatan dalam kolaborasi dan interaksi dalam menyampaikan ilmu agama Islam, agar Masyarakat menjadi termotivasi.
Co-Authors Abd. Rachman Assegaf Abdulloh Hamid Nur Amalina Wafi' Azizah Nurissaidah Ulinnuha