Article Per Year (5 Year)
p-Index From 2020 - 2025
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All Journal Computatio : Journal of Computer Science and Information Systems Business Economic, Communication, and Social Sciences Journal (BECOSS)
Heri Ngarianto, Heri
Bina Nusantara University
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering

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A Measurement for Social Experience and Its Evaluation: A Case Study of University Student Felix, Felix; Regina, Sharlene; Ohyver, Margaretha; Gunawan, Alexander Agung Santoso; Ngarianto, Heri
Business Economic, Communication, and Social Sciences Journal (BECOSS) Vol. 7 No. 2 (2025): BECOSS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/becossjournal.v7i2.13651

Abstract

Social experience refers to interactions and relationships that individuals have with others within their environments. According to researchers, higher levels of social experience can affect many aspects that an individual has, such as self-awareness, social skills, moral reasoning, intelligence, and emotional intelligence. Despite its importance, it is difficult to determine the valid and reliable measurement of social experience. The writer decided to create a survey as a measurement of social experience with 2 latent variables: self-efficacy and self-regulation to know the influence of both indicators on the measurement of social experience with 300 Bina Nusantara University students as its respondents. From the results of the survey, we conclude that verbal persuasion is the most impactful source from self-efficacy that influences social experience, while motivation is the most impactful source from self-regulation that influences social experience. All self-efficacy and self-regulation statements both are valid and reliable with convincing results. Although our results are convincing, it is essential to bear in mind that this study is not without limitations. These limitations include a limited sample size and the potential for biases in sampling and response due to the characteristics of our participants. Therefore, it is advisable for future research endeavors within this field to select participants from various universities and implement preliminary testing procedures to authenticate the survey.
ANALISIS NUMERIK MODEL SEIQRS-V UNTUK PENYEBARAN VIRUS PADA JARINGAN KOMPUTER Yuwono, Febrian; Noviantri, Viska; Gunawan, Alexander A. S.; Ngarianto, Heri
Computatio : Journal of Computer Science and Information Systems Vol. 2 No. 2 (2018): COMPUTATIO : JOURNAL OF COMPUTER SCIENCE AND INFORMATION SYSTEMS
Publisher : Faculty of Information Technology, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/computatio.v2i2.2347

Abstract

Penelitian ini menjelaskan mengenai model komplementer SEIQRS-V (Susceptible - Exposed - Infectious - Quarantined - Recovered - Vaccinated) yang digunakan untuk menganalisis kondisi jaringan di setiap waktu. Dengan menerjemahkan model komplementer menjadi sistem persamaan differensial, dapat diperoleh kondisi jaringan di setiap waktu dengan menggunakan metode numerik Runge-Kutta Fehlberg dan metode numerik Adam Bashforth Orde 3 yang diimplementasikan ke dalam aplikasi untuk analisis kondisi dan kestabilan jaringan komputer. Aplikasi analisis ini dibuat untuk menampilkan jumlah komputer pada setiap kelompok dalam bentuk tabel, grafik dua dimensi, maupun grafik tiga dimensi. Dengan menggunakan metode numerik yang diimplementasikan pada aplikasi ini, diharapkan pengguna dapat mensimulasikan kondisi jaringan komputer yang ada.
Co-Authors Alexander A. S. Gunawan, Alexander A. S. Felix Felix Gunawan, Alexander Agung Santoso Ohyver, Margaretha Regina, Sharlene Viska Noviantri Yuwono, Febrian