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Journal : Green Intelligent Systems and Applications

Twitter Sentiment Analysis of Mental Health Issues Post COVID-19 Pamungkasari, Panca Dewi; Ningsih, Sari; Rifai, Achmad Pratama; Nandila, Alisyafira Sayyidina; Nguyen, Huu Tho; Penchala, Sathish Kumar
Green Intelligent Systems and Applications Volume 5 - Issue 1 - 2025
Publisher : Tecno Scientifica Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53623/gisa.v5i1.588

Abstract

The Coronavirus Disease 2019 (COVID-19) impacted many aspects of daily life, including mental health, as some individuals struggled to adjust to the rapid changes brought on by the pandemic. This paper investigated sentiment analysis of Twitter data following the COVID-19 pandemic. Specifically, we analyzed a large corpus of tweets to understand public sentiment and its implications for mental health in the post-pandemic context. The Naïve Bayes and Support Vector Machine (SVM) classifiers were used to categorize tweets into positive, negative, and neutral sentiments. The collected tweet data samples showed that 38.35% were neutral, 32.56% were positive, and 29.09% were negative. Results using the SVM method showed an accuracy of 84%, while Naïve Bayes achieved 80% accuracy.
Land Subsidence Analysis Using Machine Learning Algorithm Random Forest Method in DKI Jakarta Nur Hidayah, Camelia; Pamungkasari, Panca Dewi; Ningsih, Sari; Azhiman, Muhammad Fauzan; Widodo, Joko; Widayaka, Elfady Satya
Green Intelligent Systems and Applications Volume 5 - Issue 1 - 2025
Publisher : Tecno Scientifica Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53623/gisa.v5i1.606

Abstract

Land subsidence is an environmental phenomenon that causes the earth's surface to decline gradually or suddenly. Land subsidence occurred in DKI Jakarta due to various factors such as excessive groundwater exploitation, infrastructure loads, and geological conditions. The purpose of this study was to analyze land subsidence in DKI Jakarta and the distribution of existing land subsidence. The results were compared with previous findings using PS-InSAR. Land subsidence was predicted using the Random Forest algorithm. Random Forest, as a type of machine learning, was able to reduce noise and minimize the impact of overfitting through ensemble techniques. Researchers used four metrics, Mean Absolute Error (MAE), Root Mean Square Error (RMSE), R², and Kling-Gupta Efficiency (KGE), to assess the accuracy of the algorithm. The analysis results of land subsidence in DKI Jakarta using Random Forest aligned with the PS-InSAR method. It was observed that areas experiencing land subsidence were predominantly in North and West Jakarta compared to other regions. Furthermore, the prediction of land subsidence using the 2017–2021 dataset indicated a decrease of up to -60 mm/year.
Co-Authors Achmad Pratama Rifai Adinta, Brema Adisti Suryaningtyas Putri Wirawan Aditya Nur Rohman Aditya Nuryudha Iriandi Agam Beny Styawan Agung Triayudi Ahmad Deni Maulana Ahmad Muslih Mardia Ahmad Rafiansyah Fauzan Ahmad Rifqi Alfin Syaifudin Alfin Syaifudin Alica Dwi Fahira Amran Koto, Eryus Andrianingsih Anis Supriatin Ariana Azimah Arie Gunawan Arie Gunawan Aris Gunaryati Ariwirawan Djali Arman Mubarokh Asrul Sani Azhiman, Muhammad Fauzan Bagas Dwi Ardianto Bayu Anggara Bayu Yasa Wedha Bayu Yasa Wedha Budyarti, Sisca Chuy Mandala Putra Cintia Marito Sihombing Deny Hidayatullah Deny Hidayatullah Deny Hidayatullah Desmana, Satriawan Dhema, Salestinus Petrus Dhieka Avrilia Lantana Dhieka Avrilia Lantana Dicke Rifki Fajrin Dinda Nurkhaliza Putri Djarot Hindarto Djoko Widodo Eky Pambudi Syiamtoni Endah Tri Esti Handayani Eri Mardiani Eri Mardiani Erina Rahmazani Fachry, Fachry Fajrin, Dicke Rifki Fauziah Fauziah Fauziah Ferdiansyah Ferdiansyah Frenda Farahdinna Ghina Rahma Guon Fernando Tarimakase Guridno, Ciptoningaji Handayani, Endah Tri Esti Hasbulloh Hasbulloh Hasbulloh, Hasbulloh Hindarto, Djarot Imelta Natalia Ginting Indra Lukmana Ira Diana Sholihati Iriandi, Aditya Nuryudha Irmawati Irmawati Iskandar Fitri Iskandar Fitri Iskandar Fitri, Iskandar Junior, Reza Phahlevi Keysha Belynda Tyva Panggabean Lili Dwi Yulianto Lili Dwi Yulianto Lombu, Azzaleya Agashi Mandala Anugrah Putra Maraghi Agil Prabowo Mardia, Ahmad Muslih Mardiani, Eri Moh. Iwan Wahyuddin Mohammad Iwan Wahyuddin Muhamad Ripin Muhammad Mustaqim Muhammad Nurdin Muhammad Rangga Nandila, Alisyafira Sayyidina Nguyen, Huu Tho Nur Hayati Nur Hidayah, Camelia Nur Rahmansyah Nur Rahmansyah Nurfaiz, Kelfin Nurhayati Nurhayati Pamungkasari, Panca Dewi Panca Dewi Pamungkasari Penchala, Sathish Kumar Perdana, Muhammad Rizky Prasetyo, Yoga Dwi Putro, Prayogo Dwi Cahyo Rahmansyah, Nur Ratih Titi Komalasari Ratih Tri Lestari Reynaldo, Yohanes Reza Phahlevi Junior Ridwan Baharudin Riyantoro Riyantoro Satria Putra Putra Satriawan Desmana Septi Andryana Shalihati, Ira Diana Shinta Dwi Rahayu Sholihati, Ira Diana Sifonne Adi Wijaya Suhatmojo, Guing Tri Syaiful Syaiful Syiamtoni, Eky Pambudi Tegar Budiman Titih Aji Kurniawan Tri Waluyo Trie Widiarti Ningsih Ucuk Darusalam Ulfiah, Ulfiah Wedha, bayu Yasa Widayaka, Elfady Satya WIJANARKO, SIGIT Willi Akbar Satria Winarsih Winarsih Winarsih Winarsih Wulandana, Nabila Puspita Yauma, Alfath Yohanes Reynaldo Yulianto, Lili Dwi Yunan Fauzi Wijaya Yuni Latifah Yusriana Chusna Fadilah