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All Journal Psikoislamedia : Jurnal Psikologi Jurnal Komtekinfo
Fhajri Arye Gemilang
Universitas Fort De Kock Bukittinggi
Humanities Computer Science & IT Social Sciences

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DESKRIPSI KEMANDIRIAN PESERTA DIDIK SELAMA SCHOOL FROM HOME (SFH) PADA MASA PANDEMI COVID19 Fhajri Arye Gemilang; Fitrianola Rezkiki; Imelda R Kartika; Fakhri Fakhri; Heru Meiyersi
Psikoislamedia : Jurnal Psikologi Vol 6, No 2 (2021): PSIKOISLAMEDIA : JURNAL PSIKOLOGI
Publisher : State Islamic University (UIN) Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/psikoislamedia.v6i2.10512

Abstract

The temporary closure of educational institutions in an effort to contain the spread of COVID-19 has affected millions of Indonesian students. Starting from March 16, 2020, face-to-face learning activities in schools were officially suspended by the Government and replaced with School from Home. SMP/MTs/equivalent were affected with 13,086,424 students studying at home. The government facilitates learning programs from home (virtual face-to-face), but this sudden activity causes students, parents and teachers to not fully implement it so that it has an impact on the independence of students. This study aims to determine the description of the independence of students during School from Home. The design of this research is quantitative with analytical descriptive approach, the sample is 284 people (accidental sampling). The instrument used is an independence questionnaire adapted from Siregar (2018). It was found that most of the respondents (54.5%) had low independence. This is greatly influenced by the condition of parents, teachers, and supporting facilities for learning at home which need a lot of adjustments, so it is hoped that the school will be able to increase the learning independence of students. 
Memprediksi Harga Komoditas Cabe Menggunakan Metode Backpropagation di Wilayah Kota Payakumbuh Allans Prima Aulia; Yuhandri; Fhajri Arye Gemilang
Jurnal KomtekInfo Vol. 8 No. 1 (2021): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (577.926 KB) | DOI: 10.35134/komtekinfo.v8i1.96

Abstract

Chili is one of the spices needed by the majority of Indonesian people. These high needs have an impact on the price of this agricultural commodity which has become very fluctuated. This study, uses the backpropagation method to predict chilli prices in Payakumbuh City, with data sourced from the Badan Pusat Statistik Kota Payakumbuh. The data format are weekly chilli price data for the period 2014 to 2019. Data variables are arranged into time series forms with 4 input values from each week per year, and 1 target value. From the test results obtained the MSE value (Mean Squared Error) of 0.00118 with prediction accuracy of 98.56%. The results of this study can prove that Artificial Neural Networks using the backpropagation method can predict commodity prices for chilli in Payakumbuh City with a good level of accuracy, so that it can be used for the following year.
Co-Authors Allans Prima Aulia Fakhri Fakhri Fitrianola Rezkiki Heru Meiyersi Imelda R Kartika Yuhandri Yuhandri