Article Per Year (5 Year)
p-Index From 2020 - 2025
0.61
P-Index
This Author published in this journals
All Journal J-SAKTI (Jurnal Sains Komputer dan 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 : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 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.
Co-Authors Arie Wahyu Wijayanto Bramantyo, Ade Rizki Putri, Salwa Rizqina Robert Kurniawan, Robert Wilantika, Nori Yuniarto, Budi Zalukhu, Bill Van Ricardo