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Journal : Digitus : Journal of Computer Science Applications

Sentiment Analysis of Public Opinion on the 2024 Presidential Election in Indonesia Using Twitter Data with the K-NN Method Diantoro, Karno; Soderi, Ahmad; Rohman, Abdur; Sitorus, Anwar T.
Digitus : Journal of Computer Science Applications Vol. 1 No. 1 (2023): October 2023
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/digitus.v1i1.27

Abstract

Twitter is often used by the public as a platform to speak and express their opinions, especially in the context of the 2024 Presidential Election. Tweets related to the '2024 Presidential Election' can be used as a source of data for social media analysis to determine whether the expressed opinions tend to be positive or negative. The research process involves data collection of tweets, preprocessing, tokenization, class attribute determination, directory filling, sentiment analysis, and classification steps, including testing the value of k and testing the confusion matrix. The research and testing results show that the K-NN method successfully achieves a sentiment classification accuracy rate of 86.48%.
Analyzing the Impact of Body Shaming on Twitter: A Study Using Naive Bayes Classifier and Machine Learning Diantoro, Karno; Rinaldo; Sitorus, Anwar T.; Rohman, Abdur
Digitus : Journal of Computer Science Applications Vol. 1 No. 1 (2023): October 2023
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/digitus.v1i1.58

Abstract

Twitter is one type of social media that is still widely used today. However, it happens frequently for Twitter users to post remarks that tend to criticize other Twitter users. Twitter users routinely make nasty remarks regarding body shaming, which has detrimental impacts on the victims such as diminishing self-esteem, leading to depressive illnesses, and, more seriously, raising the chance of suicide. Body shaming is the practice of criticizing someone's physical attributes, such as being slim, overweight, or having a flat nose. This study will use the Naive Bayes Classifier approach to do sentiment analysis based on the actions of body shaming on Twitter. Based on the performance testing results of Accuracy, Precision, and Recall using Machine Learning Rapid Miner with an initial dataset of 1000 body shaming tweets and a test dataset of 329 tweets, the following results were obtained: Accuracy of 80.55%, positive Precision of 100%, negative Precision of 80.43%, positive Recall of 3.03%, and negative Recall of 100%. In the preprocessing stage, tokenization resulted in a word cloud with the top 5 words being "overweight" at 51%, "body shaming" at 20%, "thin" at 11%, "people" at 10%, and "eating" at 8%.
Impact Marketing Techniques: Instagram, WhatsApp, and Consumer Predisposition Acquire Prepared Foods Diantoro, Karno; Sinar, Corizon; Rinaldo; Rohman, Abdur
Digitus : Journal of Computer Science Applications Vol. 2 No. 2 (2024): April 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/digitus.v2i2.258

Abstract

With the growth of social media and messaging platforms, businesses are investigating new marketing methods to reach and impact consumer behavior. This study investigates the effect of marketing strategies on Instagram and WhatsApp on consumers' inclination to buy prepared, home-cooked meals. It looks into how companies use these platforms' interactive and visual elements to market their products and influence customer choices. The research examines consumer surveys and marketing initiatives data to identify the primary drivers of engagement and buy intentions. It investigates how direct messaging, targeted advertising, and influencer marketing affect customer attitudes and decision-making. The study also explores the ethical issues of these marketing strategies and how they may affect consumers' privacy and autonomy.  This research intends to increase awareness about responsible practices that respect consumer interests while guiding firms in optimizing their methods by offering insights into the efficacy of social media and messaging app marketing strategies. The results add to the growing conversation about how digital marketing impacts food consumption habits and how consumer-business relationships are changing.
Co-Authors ABD Aziz, ABD Abdul Ghofur Abdul Rozak Abdul Wahid Abu Fanani Afrilia, Firaninta Putri Agustin, Risnawati Agustina, Deby Ahmad Saifuddin, Ahmad Akhmad Syaikhu Al Farabi, Fahmi Akhyar Ali Kusnanto Alim, Rohmat Badri Apriani, Fauziah Aqdi Rofiq Asnawi Ardana, N. K. Kutha Arfatul ‘Iyad, Fitria Ari Gunardi Ariana, Audy Meutia Ariyo Widodo, Prima Arofa, Untay Assayyidi, Muhammad Kafi Asyari, Putri Leni Atiq Mohammad Romdlon Ayatullah, Mohamad Dimyati Ayyubi, Achmad Firdhaus Al Aziz, Ienash Huwaida Balqis, Cintya Nabila Bambang Supeno, Bambang Budi Suharjo Cahyati, Nur Denny Vianto Dharmawan, Agung Diantoro, Karno Dzikrulloh, Dzikrulloh Elfiyatul Afifah, Diana Erlangga, Diva Faizal Amir, Faizal Farisma, Azza Fauziah, Dianatul Fauziah, Nurlaili Fikri, Yulizar Firman Syah, Alam Fitriani, Diah Dwi Fitriyah, Norma Dwi Fitriyaningrum, Abel Frank, Ahmad Frans Ijong Hadi Sucipto, Hadi Hadi Sumarno Hadi, Abd Hamdani, Nessa Hartini, Mawaddah Yuli Heru Supriyono Hotijeh, Hotijeh I K Suwetja Ima Kurniastuti Imam Mawardi Imam Mawardi Indira Nuansa Ratri Inggit, Kunto Irmanda, Rida Islamia, Sividinal Isna Yatul Safitri Itsnaini, Fatmi Jamaludin, Ijmal Jannah, Anisatul Kamal Yusuf Khairunnisa, Dina Khalil Kanzu, Muhammad Kosala, Andri Kurniasari, Atika Rahma Kusumaningrum, Diana Lathifah, Siti Nurul Lestari, Adinda Sofiya Linawati Linawati Mahfudhoh, Nailah Marganda, Iman Pasu Maulid Agustin MEIRINAWATI Mudzakkir, Moh Muhammad Fahmi Mujianto, Ahmad Heru Muklis, Moh Munawwaroh, Azimatu Al Muzhirul Alam, Muhammad Nabila, Nabila Najarillah, Zalqira Nanik Ulfa, Nanik Negara, M. Agung Prawira Nisrina, Azza Nuha Nugroho, Alifia Mazaya Aliya Nur Halizah, Siti Nuridin Widya Pranoto Nuriyah Al-addawiyah, Dewi Opis, Opis Paian Sianturi Persada, Yuris Indria Prasetyo, Junaedi Pratama, Bagas Aditya Prayitno, Yuliyanto Eko Pukeng, Ahmad Fahrijal Putri Valentine Putri, Delvi Nur Cahyaning Rahayuningrum, Lina Madyastuti Rahmatulloh, Achmad David Ramadhani, Fidya Puji Rinaldo Riyadillah, Ridho Rizky, Ratna Oktavina Rohmah, Yusriyatur Rohman, Andina Luthfiyah Nur Rosadi, Muhammad Iqbal Rubiah, Rubiah SAFITRI, LIDIA Salsabila, Silvia Saputra, Aditya Galih Saromah, Saromah Sa’diyah, Imro’atus Sekardani, Puspita Sari Sinar, Corizon Siti Nur Qomariah Siti Nurhaliza Sitohang, Lidya Lestari Sitorus, Anwar T. Soderi, Ahmad Sodikin Sodikin Sofiya, Ana Solihin, Raudlatus Suardinata, I Wayan Suciati, Eny Sudarmadji Sudarmadji Sunariyah, Anik Syafaah, Irbatus Syafiq Kamil, Ahmad Syaifullah Syaifullah Taufik, Akmal Tjitjik Rahaju Ubaidillah, Zaki Khoifin Ubet, Abdulloh Ulfa, Makhsunah Uvia Nursehah Vega Candra Dinata Vivilawati, Oni Wahyuni, Erni Tri Wahyuningsih, Riska Wibowo, Refa Anafdariska Widodo, Atmojo Prayogo Wijaya, Kurniatus Zahroh Wijayanti, Aprilia Nur WISNU Yeny Dhokhikah Yudantia, Ditta Maya Zahra, Putri Amalia Zolehah, Linda Imroatus