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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Ilmu Komputer dan Informasi Techno.Com: Jurnal Teknologi Informasi TELKOMNIKA (Telecommunication Computing Electronics and Control) Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Indonesia Symposium on Computing Indonesian Journal on Computing (Indo-JC) IJoICT (International Journal on Information and Communication Technology) JOIN (Jurnal Online Informatika) Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MEDIA INFORMATIKA BUDIDARMA Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Dinamisia: Jurnal Pengabdian Kepada Masyarakat Digital Zone: Jurnal Teknologi Informasi dan Komunikasi JURIKOM (Jurnal Riset Komputer) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Linguistik Komputasional Jurnal Teknologi Informasi dan Pendidikan Building of Informatics, Technology and Science Journal of Applied Engineering and Technological Science (JAETS) Journal of Computer System and Informatics (JoSYC) Jurnal Bumigora Information Technology (BITe) Jurnal Teknik Informatika (JUTIF) JINAV: Journal of Information and Visualization Jurnal Pendidikan dan Teknologi Indonesia Jurnal Pengabdian Masyarakat Indonesia Journal La Multiapp Jurnal Pengabdian Masyarakat Bhinneka eProceedings of Engineering Eduvest - Journal of Universal Studies Jurnal INFOTEL Telkatika: Jurnal Telekomunikasi Elektro Komputasi & Informatika IJoICT (International Journal on Information and Communication Technology) Indonesian Journal on Computing (Indo-JC)
Yuliant Sibaroni
Universitas Telkom
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering 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 Health Professions Industrial & Manufacturing Engineering Library & Information Science Mathematics Neuroscience Public Health Social Sciences Other

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Sentiment Analysis For The 2024 Presidential Election (Pilpres) Using BERT CNN Daffa Fadhilah Putra; Yuliant Sibaroni
Eduvest - Journal of Universal Studies Vol. 4 No. 11 (2024): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v4i11.49961

Abstract

The 2024 presidential election in Indonesia has generated tremendous enthusiasm on social media, particularly on the X platform. This research aims to analyze public sentiment regarding the 2024 presidential election by utilizing BERT and CNN methods. Sentiment analysis in the digital era is key to understanding the diverse social perspectives within society. The use of BERT, which has proven effective in understanding natural language context, and CNN, initially used for image analysis, will help in understanding public sentiment on X leading up to the 2024 presidential election. The research results show that the BERT model provides the best performance with an average accuracy of 90.02%, while CNN achieved 88.19%. The sentiment-based predictions using BERT for the three presidential candidates indicate that Prabowo Subianto is predicted to receive the highest support at 43.82%, followed by Ganjar Pranowo with 33.83%, and Anies Baswedan with 22.35%. A comparison of the prediction results with the actual election results shows that Prabowo Subianto was predicted to receive 43.82% of the vote, while the actual election results reached 58.58%, a difference of 14.76%. Ganjar Pranowo was predicted to receive 33.83% of the vote, while the actual results were 16.47%, with a difference of 17.36%. Anies Baswedan was predicted to receive 22.35% of the vote, with the actual result being 24.95%, a difference of 2.60%. This study indicates that the BERT model is effective in providing an accurate depiction of the 2024 Indonesian presidential election results.
Pelatihan Pemanfaatan Visualisasi Data untuk Mendukung Pengambilan Keputusan Administrasi Perkantoran untuk siswa SMKN 3 Bandung Sri Suryani Prasetiyowati; Yuliant Sibaroni; Diyas Puspandari
Jurnal Pengabdian Masyarakat Bhinneka Vol. 4 No. 4 (2026): Juli
Publisher : Bhinneka Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58266/jpmb.v4i4.1508

Abstract

Pemanfaatan visualisasi data menjadi salah satu strategi penting dalam mendukung pengambilan keputusan administrasi perkantoran di era digital. Data yang berlimpah dan kompleks sering kali sulit dipahami tanpa penyajian yang tepat, sehingga diperlukan teknik visualisasi yang mampu menyederhanakan informasi dan menampilkan pola serta tren secara intuitif. Kegiatan pengabdian masyarakat ini bertujuan meningkatkan kompetensi siswa SMK Negeri 3 Bandung, khususnya program keahlian Manajemen Perkantoran dan Layanan Bisnis, dalam mengolah, menganalisis, dan memvisualisasikan data menggunakan Microsoft Excel. Metode pelatihan meliputi ceramah interaktif, pretest dan posttest, demonstrasi, praktik langsung, studi kasus, serta evaluasi. Hasil pelatihan menunjukkan adanya peningkatan signifikan pada rata-rata nilai posttest dibandingkan pretest, yaitu sebesar 16,49%. Hal ini mengindikasikan bahwa pelatihan berhasil meningkatkan pemahaman dan keterampilan peserta dalam memanfaatkan Excel untuk pengolahan data administrasi dan pengembangan dasbor sebagai sarana pengambilan keputusan. Dengan demikian, kegiatan ini memberikan kontribusi nyata dalam mendukung literasi data dan kesiapan siswa menghadapi kebutuhan industri modern berbasis data.
COMBINATION OF LOGISTIC REGRESSION AND NAÏVE BAYES IN SENTIMENT ANALYSIS OF ONLINE LENDING APPLICATION PLATFORMS BY UTILIZING THE LEXICONS FEATURE Muhammad Faisal Zaenudin; Yuliant Sibaroni
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 2 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i2.6163

Abstract

In the digital age, online lending apps have become an important tool in facilitating financial transactions and supporting MSMEs. However, the existence of negative opinions related to violations such as theft of customer data raises concerns in the community. This research aims to analyze sentiment towards online loan applications, especially Kredivo, using a combination of Logistic Regression and Naïve Bayes which is optimized through the Lexicons feature. Data is taken from Google Play Store reviews, then labeling, preprocessing, and feature extraction are executed through TF-IDF technique. The classification models built are Naive Bayes (NB) and Logistic Regression (LR), where the results of the two models are combined with the ensemble voting method using lexicons features. The evaluation results show that the combination approach of the three methods can significantly improve classification accuracy compared to the use of a single method. The combined model achieved an accuracy of 89.62%, higher than Logistic Regression (86.19%) and Naive Bayes (83.54%).
Sentiment Classification in E-Commerce Using Naïve Bayes and Combined Lexicon - N-Gram Features Nabiel Muhammad Al Ghazali; Yuliant Sibaroni
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 2 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i2.6157

Abstract

This study investigates sentiment classification in e-commerce using Naïve Bayes with lexicon-based, N-gram, and combined lexicon-N-gram features. While previous research has employed various e-commerce platforms and achieved varying degrees of accuracy using Naïve Bayes for sentiment analysis, the combination of lexicon and N-gram features with Naïve Bayes has not been extensively explored in e-commerce contexts. This study proposes to evaluate three models: Naïve Bayes with Lexicon Features, Naïve Bayes with N-Gram Features, and Naïve Bayes with Combined Lexicon-N-Gram Features. The research analyzes 10,000 customer reviews of the Shopee application from the Google Play Store. Results show that the Naïve Bayes model using combined lexicon-N-gram features achieved the highest performance among the three approaches. Using 10-fold cross-validation, the combined model achieved an average accuracy of 83.4%. The N-gram model showed strong performance with an average accuracy of 82.8%, while the lexicon-based model demonstrated lower performance with an average accuracy of 77%. These findings contribute to the field of sentiment analysis in e-commerce, highlighting the effectiveness of combining lexicon and N-gram features when used with Naïve Bayes classifiers. The study provides insights into optimizing sentiment classification techniques for e-commerce platforms, emphasizing the importance of leveraging both semantic and contextual information in sentiment analysis tasks.
Classification of Extroverted, Introverted Personality based on response to “Peringatan Darurat” on social media X using IndoBERT method Aura sabina; Yuliant Sibaroni
IJoICT (International Journal on Information and Communication Technology) Vol. 12 No. 1 (2026): Vol.12 No.1 Jun 2026
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/ijoict.v12i1.11389

Abstract

The performance of the IndoBERT model was tested to classify introvert and extrovert personalities based on text data. The data consists of responses from users of social media platform X to the viral issue of “Peringantan Darurat”. The workflow includes data crawling, labelling according to personality categories, and text pre-processing prior to analysis. The IndoBERT model utilises training data to learn language patterns within each personality category in order to perform classification effectively. Test results show that the model is able to identify personality types quite well, with an F1-score of 90%. The use of a more balanced dataset, particularly regarding extrovert data, is recommended to improve classification performance whilst supporting the development of Indonesian natural language processing. Keywords: Personality classification, extrovert, introvert, IndoBERT, social media.
Co-Authors Abduh Salam Adhe Akram Azhari Aditya Andar Rahim Aditya Firman Ihsan Aditya Gumilar Aditya Iftikar Riaddy Adiwijaya Agi Maulana Akmal Muhamad Faza Alfauzan, Muhammad Fikri Alya, Hasna Rafida Andrew Wilson Angger Saputra, Revelin Aniq, Aniq Atiqi Rohmawati Annisa Aditsania Apriani, Iklima Aqilla, Livia Naura Ardana, Aulia Riefqi Arista, Dufha Arminta, Adisaputra Nur Arya Pratama Anugerah Asramanggala, Muhammad Sulthon Atikah, Balqis Sayyidahtul Attala Rafid Abelard Aufa, Rizki Nabil Aulia Rayhan Syaifullah Aura sabina Aurora Az Zahra, Elita Azmi Aulia Rahman Bunga Sari Chamadani Faisal Amri Chindy Amalia Claudia Mei Serin Sitio Daffa Fadhilah Putra Damar, Muhammad Damarsari Cahyo Wilogo Delvanita Sri Wahyuni Derwin Prabangkara Desianto Abdillah Devi Ayu Peramesti Dhina Nur Fitriana Dhina Nur Fitriana Diyas Puspandari Ekaputra, Muhammad Novario Ellisa Ratna Dewi Ellisa Ratna Dewi Elqi Ashok Eric Nur Rahman Erwin Budi Setiawan Fadhilah Nadia Puteri Fadli Fauzi Zain Fairuz, Mitha Putrianty Faiza Aulia Rahma Putra Farizi, Azziz Fachry Al Fatha, Rizkialdy Fathin, Muhammad Ammar Fatihah Rahmadayana Fatri Nurul Inayah Fauzaan Rakan Tama Feby Ali Dzuhri Fery Ardiansyah Effendi Ferzi Samal Yerzi Fhira Nhita Fitriansyah, Alam Rizki Fitriyani Fitriyani Fitriyani Fitriyani Fitriyani Gilang Brilians Firmanesha Gusti Aji, Raden Aria Gutama, Soni Andika Haidar ali Hanif, Ibrahim Hanurogo, Tetuko Muhammad Hanvito Michael Lee Hawa, Iqlima Putri Haziq, Muhammad Raffif I Gusti Ayu Putu Sintha Deviya Yuliani I Putu Ananda Miarta Utama Ibnu Muzakky M. Noor Indra Kusuma Yoga Indwiarti irbah salsabila Irfani Adri Maulana Irham Aryandi Basir Irma Palupi Islamanda, Muhammad Dinan Izzan Faikar Ramadhy Izzatul Ummah Janu Akrama Wardhana Jauzy, Muhammad Abdurrahman Al Kemas Muslim Lhaksmana Kinan Salaatsa, Titan Ku Muhammad Naim Ku Khalif Lanny Septiani Laura Imanuela Mustamu Lesmana, Aditya Lintang Aryasatya Lisbeth Evalina Siahaan Livia Naura Aqilla Made Mita Wikantari Mahadzir, Shuhaimi Maharani, Anak Agung Istri Arinta Mahmud Imrona Mas Muhammad Rizqi Adiguna Maulida , Anandita Prakarsa Mauluvy Senjaya, Argya Mitha Putrianty Fairuz Muhamad Agung Nulhakim Muhammad Alauddin Angka Kurniawan Muhammad Arif Kurniawan Muhammad Damar Muhammad Faisal Zaenudin Muhammad Ghifari Adrian Muhammad Hadyan Baqi Muhammad Ikram Kaer Sinapoy Muhammad Kiko Aulia Reiki Muhammad Novario Ekaputra Muhammad Rajih Abiyyu Musa Muhammad Reza Adi Nugraha Muldani, Muhamad Dika Nabiel Muhammad Al Ghazali Nanda Ihwani Saputri Naufal Alvin Chandrasa Nazhrin Nazarudin Achmad Ni Made Dwipadini Puspitarini Niken Dwi Wahyu Cahyani Novitasari, Ariqoh Nuraena Ramdani Okky Brillian Hibrianto Okky Brillian Hibrianto Pernanda Arya Bhagaskara S M Pilar Gautama, Hadid Prasetiyowati, Sri Prasetyo, Sri Suryani Prasetyowati, Sri Sulyani Prawiro Weninggalih Priyan Fadhil Supriyadi Purwanto, Brian Dimas Puspandari, Dyas Putra, Ihsanudin Pradana Putra, Maswan Pratama Putri, Dinda Rahma Putri, Pramaishella Ardiani Regita Rachmadania Irmanita Rafik Khairul Amin Rafika Salis Rahmanda, Rayhan Fadhil Raisa Benaya Revi Chandra Riana Rian Febrian Umbara Rian Putra Mantovani Ridha Novia Ridho Isral Essa Ridho, Fahrul Raykhan Rifaldy, Fadil Rifki Alfian Abdi Malik Riski Hamonangan Simanjuntak Rizki Annas Sholehat Rizky Fauzi Ramadhani Rizky Yudha Pratama Rizky, Muhammad Zacky Faqia Salis, Rafika Salsabila, Syifa Saniyah Nabila Fikriyah Saragih, Pujiaty Rezeki Satyananda, Karuna Dewa Septian Nugraha Kudrat Septian Nugraha Kudrat Serly Setyani Shyahrin, Mega Vebika Sinaga, Astria M P Siti Inayah Putri Siti Uswah Hasanah Sri Suryani Prasetyowati Sri Suryani Prasetyowati Sri Utami Sujadi, Cika Carissa Suryani Prasetyowati, Sri Syarif, Rizky Ahsan Umulhoir, Nida Varissa Azis, Diva Azty Viny Gilang Ramadhan Vitria Anggraeni WAHYUDI, DIKI WibhawaMn, Igd Raditya Widya Pratiwi Ali Winico Fazry Wira Abner Sigalingging Zaidan, Muhammad Naufal Zain, Fadli Fauzi ZK Abdurahman Baizal