Article Per Year (5 Year)
p-Index From 2020 - 2025
2.064
P-Index
This Author published in this journals
All Journal Jurnal Teknik Komputer AMIK BSI Jurnal Sains dan Teknologi Jurnal Tekinkom (Teknik Informasi dan Komputer) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Journal of Computer Networks, Architecture and High Performance Computing Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD JURNAL MUARA PENDIDIKAN Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat JS (Jurnal Sekolah)
Marlince NK Nababan
Universitas Prima Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Mathematics Physics Social Sciences Other

Published : 15 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Journal of Computer Networks, Architecture and High Performance Computing

 1 
Design And Build E-Therapy During The Pandemic Using An Android-Based User-Centred Design Model Feby Riwindi Silitonga; Ristya Febriani Br Karo Sekali; Stefania Gracella Simamora; Marlince NK Nababan
Journal of Computer Networks, Architecture and High Performance Computing Vol. 3 No. 2 (2021): Journal of Computer Networks, Architecture and High Performance Computing, July
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v3i2.1007

Abstract

Therapy is a treatment to restore health to people who are sick such as mental disorders, many factors make people's psychological disorders today, one of which is the corona virus which is being experienced by many Indonesian people and even the world which has a negative impact. When people are infected with the corona virus, many experience depression, and this also has a negative impact on students at the University. The purpose of this research is to develop an application that can reduce the anxiety of people affected by the corona virus and aims to relax the human brain. And not only for people affected by Covid but also for the community as a tool for self-reflection. This application is designed to meet the needs of users affected by the corona virus. To make products more accessible to users, User-centered design (UCD) is a design process model that prioritizes user needs following user needs. From some people who have been exposed to the corona virus, the research team tries to respond to applications that have been developed. From the results of this study, the authors can conclude that from several characteristics of existing therapy, Muslim motivation is the most popular type of therapy with a test rate of 88.5% while the lowest test rate is Christian motivation with 57%.
Comparison of Decision Tree and Linear Regression Algorithms in the Case of Spread Prediction of COVID-19 in Indonesia Darwin Darwin; Dwiky Christian; Wilson Chandra; Marlince Nababan
Journal of Computer Networks, Architecture and High Performance Computing Vol. 4 No. 1 (2022): Article Research Volume 4 Number 1, Januay 2022
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v4i1.1234

Abstract

COVID-19 is a disease that was first discovered in Wuhan, China and caused the 2019-2020 coronavirus pandemic. This virus can cause respiratory tract infections such as flu when infecting humans. According to Ministry of Health of the Republic of Indonesia, the number of confirmed cases of COVID-19 in Indonesia at March 2021 is 1,511,712 with 40,858 deaths and 1,348,330 recovered. For that, Indonesia is declared to have the highest confirmed cases in ASEAN. Several studies have been carried out to handle some cases by using the data mining techniques such as Decision Tree or Linear Regression algorithm, as example to classify the respiratory diseases and predict pregnancy hypertension. In this study, we tried to analyze COVID-19 cases in Indonesia and conducted an experiment of predicting COVID-19 new cases with the Decision Tree (CART) and Linear Regression algorithms. Then we will compare the values of these two algorithms by using R2 Score to evaluate the prediction performance. The results of this analysis state that DKI Jakarta province has the highest number of positive cases, cures and deaths in Indonesia. The value of the comparison results from the R2 Score obtained in the Decision Tree algorithm reached 95.69% (training) and 92.15% (testing) while the Linear Regression algorithm reached 79.93% (training) and 77.25% (testing).
Co-Authors Andi Sanjaya Simanjuntak Anita Anita Anju Siagian Apriani Sijabat Arjit Ram Cindy Suci Cristina Julyani Sinaga Darwin Darwin Deliana Deliana Despaleri Perangin-angin Dwiky Christian Edgar Bagus Adytia Sianipar Evta Indra Falda Junisman Zebua Feby Riwindi Silitonga Festiana Telaubanua Festiyed Fitriani Bidaya Fredy Sanjaya Ginting Hagri Barus Happy Anita Margaretha Ibnu Iqrom Imanuel Eastherio L Wokamaw Iwan Butarbutar Jen Chandra Karen Sharma Krisman Simatupang Lengsina Sihombing Meidika Sagala Muhardi Saputra Palma Juanta Reyhan Achmad Rizal Ribka Permatasari Br Manalu Ristya Febriani Br Karo Sekali Roy Wahyudi Hutasoit Sri Wahyuni Tarigan Stefania Gracella Simamora SUMITA WARDANI Widiyanto Widiyanto Wilson Chandra Yohandri Yonata Laia