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All Journal Journal of Information Technology and Computer Science
Tri Afirianto
Brawijaya University, Malang
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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The Effect of Student's Family Environment and Learning Interests on Learning Outcomes in The Computer Programming Subject at Vocational High School's Distance Learning Context Ervyn Vania Riswara; Admaja Dwi Herlambang; Tri Afirianto
Journal of Information Technology and Computer Science Vol. 7 No. 3: December 2022
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

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Abstract

During the Covid-19 pandemic, the learning process was carried out remotely in each home using a learning platform that had been determined by the school. In the current situation to support the quality of the student learning process at home, a good family environment is needed so that students get good learning outcomes. Distance learning can also affect student interest in learning, due to the lack of interaction and lack of socialization between teachers and students, and many other factors affect student interest in learning. So the researcher wants to calculate how the influence of the family environment and student interest in learning during the pandemic period on the learning outcomes of class X RPL students of SMK Negeri 9 Malang in Basic Programming subjects. This study uses quantitative research along with correlational methods with a sample of 101 students of class X RPL SMK Negeri 9 Malang. The research data obtained comes from the results of distributed questionnaires and documentation. The data analysis used is the regression test, correlation test, T-test and F test using SPSS 25 software. From the research that has been done, the results are (1) there is an influence by the family environment on student learning outcomes with a significance value of 0.047 < 0.05 , (2) interest in learning affects learning outcomes with a significance value obtained at 0.001 < 0.05, (3) family environment and interest in learning simultaneously affect student learning outcomes with a significance value of 0.000 < 0.05.
Usability Evaluation for Mobile-Based Nutritional Food Recommender System Ratih Kartika Dewi; Tri Afirianto; Eva Putri Arfiani; Nabila Fairuz Zahra
Journal of Information Technology and Computer Science Vol. 8 No. 1: April 2023
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.202381385

Abstract

COVID-19 was designated as a global pandemic by WHO and Government Regulation of the Republic of Indonesia Number 21 of 2020 concerning Large-Scale Social Restrictions for the handling of Corona Virus Disease 2019 (COVID-19). Eating healthy foods with balanced nutrition can increase the body's immunity during a COVID-19 pandemic. Since many foods that sold freely are not guaranteed in nutritional ingredients, cooking becomes a better alternative. system is a mobile application that provides a recommendation of healthy food recipe by using the Simple Additive Weighting (SAW) algorithm, which has been studied in the previous research of recipe recommendation and gives significant result. Previous research has not examined the appropriate variables and the data are still general food. We conducted a user study to measure the usability of the proposed system. The result of usability testing shows that there is a significant increase in SUS score from 63.5 to 87.
Co-Authors Admaja Dwi Herlambang Ervyn Vania Riswara Eva Putri Arfiani Nabila Fairuz Zahra Ratih Kartika Dewi