Article Per Year (5 Year)
p-Index From 2021 - 2026
3.415
P-Index
This Author published in this journals
All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) JOIV : International Journal on Informatics Visualization Knowledge Engineering and Data Science JUTIK : Jurnal Teknologi Informasi dan Komputer JOURNAL OF APPLIED INFORMATICS AND COMPUTING SINTECH (Science and Information Technology) Journal Jurnal RESISTOR (Rekayasa Sistem Komputer) JE (Journal of Empowerment) Journal of Engineering and Scientific Research (JESR) Indonesian Journal of Data and Science Jurnal Scientia Journal of Computer Networks, Architecture and High Performance Computing Jurnal Krisnadana Jurnal Krisnadana TECHNOVATE KOMET
Radhitya, Made Leo
Institut Bisnis Dan Teknologi Indonesia
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Public Health Social Sciences

Published : 29 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search
Journal : SINTECH (Science and Information Technology) Journal

 1 
PENENTUAN TINGKAT PEMAHAMAN MAHASISWA TERHADAP SOCIAL DISTANCING MENGGUNAKAN ALGORITMA C4.5 Sudipa, I Gede Iwan; I Nyoman Alit Arsana; Made Leo Radhitya
SINTECH (Science and Information Technology) Journal Vol 3 No 1 (2020): SINTECH Journal Edition April 2020
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (359.732 KB) | DOI: 10.31598/sintechjournal.v3i1.562

Abstract

Pandemic Corona Disease 19 or called Covid19 raises a situation that requires every level of society to maintain health and perform activities work from home. One suggestion from the government is to implement social distancing for the academic community, one of which is students. However, not all students can do it due to the lack of understanding of social distancing and the demands of working status, this study seeks to measure the level of understanding of students in knowing social distancing and applying it in current conditions. Based on the questionnaire data collection distributed with the number of respondents 287 students with vulnerable ages 18-25 years later conducted a classification of datamining using the C4.5 algorithm with tree modeling, the results obtained that the accuracy of 93.73%, with class precision that is predictions of students understanding social distancing ( 96.97%), students understand but have to work (100%) and students hesitate (75.71%).
PENENTUAN TINGKAT PEMAHAMAN MAHASISWA TERHADAP SOCIAL DISTANCING MENGGUNAKAN ALGORITMA C4.5 I Gede Iwan Sudipa; I Nyoman Alit Arsana; Made Leo Radhitya
SINTECH (Science and Information Technology) Journal Vol. 3 No. 1 (2020): SINTECH Journal Edition April 2020
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v3i1.562

Abstract

Pandemic Corona Disease 19 or called Covid19 raises a situation that requires every level of society to maintain health and perform activities work from home. One suggestion from the government is to implement social distancing for the academic community, one of which is students. However, not all students can do it due to the lack of understanding of social distancing and the demands of working status, this study seeks to measure the level of understanding of students in knowing social distancing and applying it in current conditions. Based on the questionnaire data collection distributed with the number of respondents 287 students with vulnerable ages 18-25 years later conducted a classification of datamining using the C4.5 algorithm with tree modeling, the results obtained that the accuracy of 93.73%, with class precision that is predictions of students understanding social distancing ( 96.97%), students understand but have to work (100%) and students hesitate (75.71%).
PENDEKATAN Z-SCORE DAN FUZZY DALAM PENGUJIAN AKURASI PERAMALAN CURAH HUJAN Made Leo Radhitya; Gede Iwan Sudipa
SINTECH (Science and Information Technology) Journal Vol. 3 No. 2 (2020): SINTECH Journal Edition Oktober 2020
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v3i2.567

Abstract

Determination of rainfall is important to determine the intensity of rain that occurs in an area. Rain intensity that is too high will certainly have a bad impact. Forecasting or prediction techniques are used to determine the likelihood of intensity occurring in the following year. However, rainfall data are continuous numerical data. Measurement of accuracy becomes more difficult if the data type is like that. So, this study tests the accuracy of rainfall forecasting in the city of Denpasar from a different perspective. This test combines the Z-score method and the Fuzzy set theory to normalize and classify rainfall data. This combination determines the degree of rainfall membership divided into Upper, Middle, and Lower levels. Based on the results of rainfall accuracy testing starting in 2012-2016 obtained an average value of accuracy of 85% with training data that is data in 2007-2015. The normalization process greatly affects the value of the training data.
Analisis Sentimen Pada Pembelajaran Daring Di Indonesia Melalui Twitter Menggunakan Naïve Bayes Classifier Sarasvananda, Ida Bagus Gede; Selivan, Diana; Radhitya, Made Leo; Putra, I Nyoman Tri Anindia
SINTECH (Science and Information Technology) Journal Vol. 5 No. 2 (2022): SINTECH Journal Edition Oktober 2022
Publisher : Prahasta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v5i2.1241

Abstract

Education is one of the areas most affected by the covid-19 pandemic. Education during the pandemic must continue. To reduce the spread of covid-19 and learning activities can run as usual, the government, in this case the Ministry of Education and Culture, has implemented a distance education system in Indonesia. In addition, the response from the community is very important for an evaluation of the applied online learning. With the implementation of the policy regarding online learning in Indonesia, it is necessary to conduct a sentiment analysis to find out how the responses, opinions, or comments from the public and online learning actors related to online learning are currently being implemented. So the author conducted a research entitled Sentiment Analysis on Online Learning in Indonesia Through Twitter Using the Naïve Bayes Classifier Method to measure student responses regarding online learning during the covid -19 pandemic in Indonesia. The results of the accuracy of this study is 99.8% and the classification error is 0.12%. Of the total data entered, 83 tweets or 20% were included in the positive class, the negative class was 317 tweets or 80%.
Co-Authors Admojo, Fadhila Tangguh Agus Harjoko Aprianti, Ni Nyoman Asana, I Made Dwi Putra Asana, Made Dwi Putra Atmaja, I Made Ari Dwi Suta Atmaja, Ketut Jaya Bagus Tresna Bramstya Felix Andika Dwiyanto Giri, Gst. Ayu Vida Mastrika Gst. Ayu Vida Mastrika Giri Gunawan, I Komang Agus Bryan Hamada Zein I Dewa Gede Agung Pandawana I Gede Iwan Sudipa I Gusti Agung Indrawan I Made Subrata Sandhiyasa I Made Yoga Apriliana I Nyoman Alit Arsana I Nyoman Alit Arsana I Nyoman Gede Arya Astawa I Nyoman Tri Anindia Putra I Putu Agus Eka Darma Udayana, I Putu Agus Eka I Putu Eka Andika Cakra I Wayan Raka Ardana I Wayan Supriana Ida Bagus Gede Sarasvananda Jelni, Olivia Sutriani Ketut Laksmi Maswari Libraeni, Luh Gede Bevi MADE WAHYU ADHIPUTRA Naswin, Ahmad Ni Made Mila Rosa Desmayani, Ni Made Mila Rosa Ni Putu Widantari Suandana Ni Wayan Jeri Kusuma Pangestu, Ni Made Diah Nandita Putra, Putu Satria Udyana Raharja, Made Agung Sandhiyasa, I Made Subrata Saputra, I Wayan Kelvin Widana Selivan, Diana Semadi, Ketut Ngurah Siti Marlina, Siti Subawa, I Gede Arika Triadi, Wilfridus Bambang Waas, Devi Valentino Wahyudi, I Putu Alfin Teguh Wardhana, Gede Wirya Widiantari, Ni Komang Mira Wiguna, I Komang Arya Ganda Wiguna, I Wayan Darma Wijaya, Bagus Kusuma