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Ade Iriani
Universitas Kristen Satya Wacana
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Journal : Computer Science and Information Technologies

 1 
Trends in sentiment of Twitter users towards Indonesian tourism: analysis with the k-nearest neighbor method Purnama Harahap, Eka; Dwi Purnomo, Hindriyanto; Iriani, Ade; Sembiring, Irwan; Nurtino, Tio
Computer Science and Information Technologies Vol 5, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v5i1.p19-28

Abstract

This research analyzes the sentiment of Twitter users regarding tourism in Indonesia using the keyword "wonderful Indonesia" as the tourism promotion identity. The aim of this study is to gain a deeper understanding of the public sentiment towards "wonderful Indonesia" through social media data analysis. The novelty obtained provides new insights into valuable information about Indonesian tourism for the government and relevant stakeholders in promoting Indonesian tourism and enhancing tourist experiences. The method used is tweet analysis and classification using the K-nearest neighbor (KNN) algorithm to determine the positive, neutral, or negative sentiment of the tweets. The classification results show that the majority of tweets (65.1% out of a total of 14,189 tweets) have a neutral sentiment, indicating that most tweets with the "wonderful Indonesia" tagline are related to advertising or promoting Indonesian tourism. However, the percentage of tweets with positive sentiment (33.8%) is higher than those with negative sentiment (1.1%). This study also achieved training results with an accuracy rate of 98.5%, precision of 97.6%, recall of 98.5%, and F1-score of 98.1%. However, reassessment is needed in the future as Twitter users' sentiment can change along with the development of Indonesian tourism itself.
Predicting students' success level in an examination using advanced linear regression and extreme gradient boosting Wahyuningsih, Tri; Iriani, Ade; Dwi Purnomo, Hindriyanto; Sembiring, Irwan
Computer Science and Information Technologies Vol 5, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v5i1.p29-37

Abstract

This research employs a hybrid approach, integrating advanced linear regression and extreme gradient boosting (XGBoost), to forecast student success rates in exams within the dynamic educational landscape. Utilizing Kaggle-sourced data, the study crafts a model amalgamating advanced linear regression and XGBoost, subsequently assessing its performance against the primary dataset. The findings showcase the model's efficacy, yielding an accuracy of 0.680 on the fifth test and underscoring its adeptness in predicting students' exam success. The discussion underscores XGBoost's prowess in managing data intricacies and non-linear features, complemented by advanced linear regression offering valuable coefficient interpretations for linear relationships. This research innovatively contributes by harmonizing two distinct methods to create a predictive model for students' exam success. The conclusion emphasizes the merits of an ensemble approach in refining prediction accuracy, recognizing, however, the study's limitations in terms of dataset constraints and external factors. In essence, this study enhances comprehension of predicting student success, offering educators insights to identify and support potentially struggling students. 
Co-Authors Adi Kristianto Adrisal Kaliongga Alfonrianus Bali Ana Maria Heni Antar Maramba Jawa Anthony Anthony Antonius Mbay Ndapamuri Astriyer J. Nahumury Bambang Ismanto Bambang Suteng Sulasmono Basuki Budiyatmo Basuki Wibowo, Arif Brigitta Putri Atika Tyagita, Brigitta Putri Atika Budhi Kristianto Daniel Kurniawan Daniel Kurniawan Danny Manongga Dedy Prasetya Kristiadi Dendy Kurniawan Destin Ricardo Lase Destin Ricardo Lase Devi Kurniawati, Agatha Ratna Djari, Maria Cristiana Yuliyanti Dwi Hosanna Bangkalang Dwikuraningsih, Yari Edi Suharyadi Eko Nur Hermansyah Eko Sediyono Ela, Anastasia Elfira Umar Elsy Senides Hana Taunu Elvis Fernando Tarantein Erfy Melany Lalupanda Ervitasari, Aning Erwianta Gustial Radjah Eskris, Yosiana Esther Yuli Ekawati Evangs Mailoa Florentina Tatrin Kurniati Getsi Novalin Takain Grace Kartika Ratih Hadi, Wasito Hendrawati, Ririn Hendry Hendry, - Heni Prasetyowati Heni Prasetyowati Hennie Tuhuteru Hindriyanto Dwi Purnomo Irwan Sembiring Johan Jimmy Carter Tambotoh Joko Listiawan Sukowati Jonas, Dendy Julians, Adhe Ronny Kristoko Dwi Hartomo Kusumajaya, Robby Andika Laksamana Rajendra Haidar Latupeirissa, Ariyanto Laurentia Prabaniardi Kartikasari Lelatobur, Lovely Ezverenzha Lukman Santoso M Munifah Mangoki, Willson Manongga, Daniel Herman Ferdy Marinu Waruwu Marsye Ruth Hendria Pasanea Martza Merry Swastikasari Mawardi Merryana Lestari Miranda, Pedro da Costa Muhammad Sidik Mutia Ayu Krismanda, Mutia Ayu Nanle, Zeze Nikhlis, Neilin Nina Setiyawati Ninda Lutfiani Noni Melisa Pebrioni Nurtino, Tio Oktriany, Wara Hapsari Paais, Reinhard Leonardo Palupi, Ester Sekar Parera, Stasia Veronica Penidas Fiodinggo Tanaem Penidas Fodinggo Tanaem Perdana, Eric Megah Plenden, Di Ohanes Richi Christian Priatna , Wowon Purnama Harahap, Eka Qurotul Aini Radjulan, Juins Carlo Rahmat Dhoni Wiryatmo Rimes Jopmorestho Malioy Ririn Hendrawati Sasadara Wahyu Lukitasari, Sasadara Wahyu Septian, Rafly Ananda Dwi Setyo Budi Utomo Shendi Kharisma Widiastuti Sidik, Muhammad Sophia Tri Satyawati Sri Yulianto Steiven Orland Ngongira Stephen Aprius Sutresno, Stephen Aprius Suharyadi Susilawati Susilawati Sutarto Wijono Swastikasari, Martza Merry Syefudin Syefudin Theopillus J. H. Wellem Tomasoa, Lyonly Tommy Prasetyo, Dewantoro Tri Wahyuningsih Tria Citra Listiani Mukti Triwiyanto, Wahyudi Uly, Novem Untung Rahardja Valentino Kevin Sitanayah Que Victor Peter Lodewyk Duan Vieira, Driellen Wara Hapsari Oktriany Wardani, Mawaroh Ken Wardoyono, Hengky Wasitohadi Wasitohadi - Watunwotuk, Alfian Widhiardanti, Rosalia Meita Wijaya, Franke Wilhelmus Werong Wiwien Hadikurniawati Wulandari, Mega Retno Yari Dwikurnaningsih Yessica Nataliani Yohnes Madawara, Herdin Yoseb Sudarso Bunbaban Yulianto, Sri