Article Per Year (5 Year)
p-Index From 2021 - 2026
0.947
P-Index
This Author published in this journals
All Journal J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Riset Informatika International Journal of Advances in Data and Information Systems J-SAKTI (Jurnal Sains Komputer dan Informatika)
Pratama, Ahmad R.
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
Analisis Sentimen Kebijakan Protokol Kesehatan Pada Masa Pandemi Di Media Sosial Facebook dengan Crowdtangle Bramantyo, Ade Rizki; Pratama, Ahmad R.
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.505

Abstract

Various policies have been made by Indonesian Government to handle the spreading of COVID-19. Indonesian Government released several rules called health protocol that regulate public activities during the pandemic. The government policy of releasing those rules created different public opinions. Sentiment analysis was conducted to know how people see and think about health protocol. This study analyzed the public reactions on Facebook posts about health protocol from government account and news portal account. The data was collected using CrowdTangle with “protokol kesehatan”, “wajib masker”, and “jaga jarak” chosen as keywords. CrowdTangle collects useful Facebook data including reactions (love, care, sad, angry) that represent a sentiment, message, and total interactions. The result of the sentiment analysis showed that public gave more positive reactions than negative reactions to health protocol posts. Based on the nonparametric statistic tests (Mann-Whitney test and Kruskal-Wallis test) results, the account types (government account and news portal account) affected the public reactions and the total number of interactions. Moreover, the total number of interactions was also influenced by the post types (link, status, photo, and video).
Analisis Sentimen Kebijakan Protokol Kesehatan Pada Masa Pandemi Di Media Sosial Facebook dengan Crowdtangle Bramantyo, Ade Rizki; Pratama, Ahmad R.
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.505

Abstract

Various policies have been made by Indonesian Government to handle the spreading of COVID-19. Indonesian Government released several rules called health protocol that regulate public activities during the pandemic. The government policy of releasing those rules created different public opinions. Sentiment analysis was conducted to know how people see and think about health protocol. This study analyzed the public reactions on Facebook posts about health protocol from government account and news portal account. The data was collected using CrowdTangle with “protokol kesehatan”, “wajib masker”, and “jaga jarak” chosen as keywords. CrowdTangle collects useful Facebook data including reactions (love, care, sad, angry) that represent a sentiment, message, and total interactions. The result of the sentiment analysis showed that public gave more positive reactions than negative reactions to health protocol posts. Based on the nonparametric statistic tests (Mann-Whitney test and Kruskal-Wallis test) results, the account types (government account and news portal account) affected the public reactions and the total number of interactions. Moreover, the total number of interactions was also influenced by the post types (link, status, photo, and video).
Deep Learning and Remote Sensing for Agricultural Land Use Monitoring: A Spatio-Multitemporal Analysis of Rice Field Conversion using Optical Satellite Images Wijayanto, Arie Wahyu; Zalukhu, Bill Van Ricardo; Putri, Salwa Rizqina; Wilantika, Nori; Yuniarto, Budi; Kurniawan, Robert; Pratama, Ahmad R.
International Journal of Advances in Data and Information Systems Vol. 6 No. 2 (2025): August 2025 - International Journal of Advances in Data and Information Systems
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ijadis.v6i2.1385

Abstract

Rice is a staple food for over half of the global population, making its production crucial for food security, especially in Indonesia, the world's third-largest rice consumer. Population growth and urban expansion have led to agricultural land conversion, necessitating efficient monitoring methods. Traditional approaches, such as area sample frameworks and tile surveys, are costly and time-consuming, prompting the need for remote sensing and deep learning solutions. This study utilizes medium-resolution Sentinel-1, Sentinel-2, and Landsat-8 optical satellite imagery from 2013 and 2021 to analyze land cover changes in West Bandung and Purwakarta Regencies, key agricultural regions in Indonesia. A deep learning model is developed to classify land cover, validated through ground-truth evaluation, and applied to assess spatio-multitemporal land use conversion, paddy field estimation, and conversion rates. Results show that deep learning models effectively classify land cover with high accuracy, revealing significant agricultural land loss due to urban expansion. This research contributes to artificial intelligence (AI)-driven land monitoring, particularly in tropical regions, and supports policymakers in sustainable food agriculture land management. The findings highlight the potential of integrating remote sensing and deep learning for cost-effective agricultural monitoring, ensuring food security and sustainable land use. Future research should explore higher-resolution imagery and advanced AI techniques to enhance predictive accuracy and decision-making.
SENTIMENT ANALYSIS OF COVID-19 VACCINATION POSTS ON FACEBOOK IN INDONESIA WITH CROWDTANGLE Rianto, Adita; Pratama, Ahmad R.
Jurnal Riset Informatika Vol. 3 No. 4 (2021): September 2021 Edition
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (0.272 KB) | DOI: 10.34288/jri.v3i4.101

Abstract

COVID-19 was declared a pandemic by the World Health Organization (WHO) in early 2020. The Indonesian government has taken steps to stop COVID-19 from spreading, one of which is vaccination. However, not everyone thinks vaccination is a good idea. Like in other countries, Indonesian people responded in different ways to COVID-19 vaccination posts on social media, be it from government officials or news portals. Public responses can be used to help the government make a better vaccination strategy to end the pandemic in Indonesia. Using the lexicon method in determining the sentiment in COVID-19 vaccination posts on Facebook, this research found that unlike news portals that tended to post a more balanced content (36% positive, 20% negative, and 44% neutral out of 23,623 posts, min score = -19, max score = 24, mean = 0.25, SD = 1.43), government accounts posted much more positive content, both in quality (min score = -15, max score = 40, mean score = 4.16, SD = 6.76 ) and quantity (69% positive) than they did the neutral (15%) and the negative content (16%) out of 723 posts. Subsequent analysis with Two-Way ANOVA tests discovered that COVID-19 vaccination posts by the news portals elicited more varied reactions from the public than government accounts that tended to elicit mostly positive reactions. Also, both the content sentiment of COVID-19 vaccination posts in Indonesia and the account types making those posts, as well as their interaction terms do have an impact on how the public responds to them.
ON-SR UII: AN ONLINE SELF-REGULATED LEARNING WEB APPLICATION TO ASSIST INDEPENDENT COLLEGE LEARNERS Pratama, Ahmad R.; Rahayu, Puji; Setiyadi, Andri; Azhar, M. Fachry; Ashshiddiq, M. Fajri
Jurnal Riset Informatika Vol. 4 No. 4 (2022): September 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34288/jri.v4i4.165

Abstract

Self-regulated Learning (SRL) is a learning method that strongly emphasizes the importance of self-learning skills. Unfortunately, many existing educational technologies employed by colleges and universities continue to place a premium on technical support for the learning process within the classroom that does not provide the same level of support for SRL. This study aims to close this gap by developing the ON-SR UII, a new SRL platform that can assist college students in their quest to become independent learners. Using the design thinking approach, ON-SR UII is developed as a responsive web app that can be accessed by college students through the Internet anywhere at any time at their own pace using any computing device of varying screen sizes. This article describes how ON-SR UII was designed before its Prototype was developed, deployed, and evaluated by stakeholders for functionality, usability, and responsiveness. The encouraging results indicate that ON-SR UII has the potential to be widely implemented, allowing for the measurement of its implications in future research.
Co-Authors Arie Wahyu Wijayanto Ashshiddiq, M. Fajri Azhar, M. Fachry Bramantyo, Ade Rizki Puji Rahayu Putri, Salwa Rizqina Rianto, Adita Robert Kurniawan, Robert Setiyadi, Andri Wilantika, Nori Yuniarto, Budi Zalukhu, Bill Van Ricardo