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Journal : Journal of Technology and Informatics (JoTI)

Analisis Sentimen Pengguna X terhadap Perempuan di Lingkungan Kerja Menggunakan Algoritma Machine Learning Muhammad Davit Hilal Fahri; Gunawan, Dedi
Journal of Technology and Informatics (JoTI) Vol. 7 No. 2 (2025): Vol. 7 N. 2 (2025)
Publisher : Universitas Dinamika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37802/joti.v7i2.1087

Abstract

Gender bias against women in the workplace persists, including within digital interactions on social media. This study analyzes user sentiment on Platform X regarding women in professional contexts using three machine learning algorithms: Naïve Bayes, Support Vector Machine (SVM), and Random Forest. A total of 2,336 tweets were collected using 14 gender-related keywords and labeled both automatically using the DistilBERT model and manually through contextual interpretation. The automatic dataset was imbalanced (1,823 negative, 479 positive), while the manual dataset was more balanced (1,196 negative, 1,106 positive). After preprocessing and TF-IDF feature extraction, the data were split using the train_test_split method. Evaluation metrics included accuracy, precision, recall, and F1-score. Random Forest achieved the highest accuracy (79%) on automatic labels but showed class imbalance (F1-score: 0.88 for negative, 0.08 for positive). Meanwhile, models trained on manual labels showed more balanced performance with accuracy between 57% and 59%. A web application prototype was developed using Flask to predict sentiment related to workplace gender issues. The findings highlight the importance of balanced labeling and appropriate algorithm selection to build fair and reliable sentiment analysis models, contributing to more inclusive digital discourse on gender equality.
Implementation of The Topsis Algorithm In A Car Purchase Decision-Making System Viki Julian Avinda Nur Ependi; Dedi Gunawan
Journal of Technology and Informatics (JoTI) Vol. 8 No. 1 (2026): Vol. 8 N. 1 (2026)
Publisher : Universitas Dinamika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37802/joti.v8i1.1272

Abstract

Private vehicles such as cars and motorcycles are crucial modes of transportation for the movement of goods and people. With technological advancements, car manufacturers offer a wide range of vehicles. Therefore, prospective buyers face challenges in selecting a vehicle that best suits their preferences and criteria. To tackle the issue, this study develops a practical decision support system (DSS) as a user-friendly tool for buyers, with theoretical contributions in the form of a more adaptive TOPSIS application and systematic analysis in car selection. This study focuses on collecting car-related data using 12 criteria, such as price, fuel consumption, safety, and design. The TOPSIS method is then normalized to ensure a fair and objective comparison between criteria. The results show the top alternative ranking, Suzuki 2002 (closeness score of 0.7089 in position 1), and the SUS test result of 85.6, indicating that the system is easy to use and capable of providing recommendations that align with user preferences. Therefore, this study highlights that the TOPSIS method can be an effective tool in supporting car purchase decision-making and making it easier for prospective buyers to choose the car that best suits their needs.
Co-Authors Ahimsa Prana Aditya Ahmad M. Fuadi Ahmad Rozin Ahmad. M Fuadi Ahsanul Amal, Muhammad Ahyana Ilham Wibisono Aisyah Mutia Dawis Aji Ari Adam Akida Mulyaningtyas Al Farisi, Mu'taz Aldafi Prana Tantri Alfian Yulianto Ali Zainal Abidin amal, Muhammad ahsanul Amri Zadi Hudaya Anas Faridrahman Anfaisa, Anfaisa Ibnu Danar Dana Annisa Kusumastuti Apriliana, Cindi Dila Ardhani, Rahmad Ariefin Nur Hidayat Arrijal Amar Ma'ruf ASRORI, M ACHMAD Avifah Hasna Nur Fadila Avisa Putri Rosyida Ayu Putri Wardhani Badrus Zaman, Akhmad Roja Basuki, Sucipto Bimantyoso Hamdikatama Budi Santoso Dadang Iskandar Mulyana` Dadang Iskandar, Dadang Dandi Katerpilarifai Dandung Rahmatdhan Dasim, Dasim Devi Afriyantari Puspa Putri Dewi Sasika Rani Diah Priyawati Diah Priyawati Dimas Fajar Saputro Dita Pratama Eka Firmansyah Ekasakti, Ganza Wajendra Fahira, Dea Fahlevi, Rezza Fatah Yasin Al Irsyadi fatah yasin irsyadi, fatah yasin Feri Riski Dinata Fitri Kurniawan Galardhia Zain Azzahra Goestjahjanti, Francisca Sestri Hanafi, Syafiq Mahmadah Hanggaraxsha, Irwan Harisnur, Alvian Hasyim Asyari Helmi Imaduddin Hernanda, Rizka Hudzaifah, Salim Maula Husein Ihsan Cahyo Utomo Ilham Adhi Septanto Islam, Syful Ismail Setiawan Istajib Kulla Himmy’azz Ita Permatahati Ivanovick Abdurrakhman Ar Raniri Kaukaban Syarqi Nur Budiono Kumoro, Dwi Ferdiyatmoko Cahya Kun Harismah Kurniawan, Yogiek Indra Kusrini Kusrini Kusumastuti, Annisa Mahendra, Galuh Raka Miftakhul Choiri Mila Faila Sufa Minallah, Aldin Nasrun Muhammad Davit Hilal Fahri Muhammad Furqan, Muhammad Muhammad Iqbal Hafidz Muslimawati, Dinny Patria Nabil Aziz Bima Anggita Nadia, La Ode Abdul Rajab Naila Khairunnisa Nailurrachman, M. Tariq Nasor, M. Nasor Nur Rohmah, Arini Nurasiah Nurasiah Pratomo Budi Santosa Prilya Shanty Adrianie Rahman, Ahmada Auliya Rahmatika, Hamni Kamal Raka Mahendra, Galuh Ramadhan, Muhammad Rivai Putra Reza Rendian Septiawan Rifa’I , Ahmad Ritonga, Hotman Sugeng Robby Nugroho Setyawan Rohmah, Alifah Alfiatur Rohmah, Arini Nur Rosmawati Rusnilawati Sadid, Muhammad Arib Umar Salsabilla Nuraini, Arwinda Sania Citra Palupi Saputra, Masud Adhi Septanto, Ilham Adhi Sigit Setiyanto SITI FATIMAH Siti Fatimah Sukoco, Bambang Suwanto Suwanto Syamsuri Tami Rusli Tasya Indriani Titis Sri Wulan Tri Agus Setiawan Umar Ali Ahmad Verania Nur Andika Viki Julian Avinda Nur Ependi Waqiah Wibowo, Rama Aziz Widi Widayat WINANTI, WINANTI Yasir Sidiq Yayuk Chayatun Machsunah Yogatama Dwi Prasetya Yusuf Sulistyo Nugroho Zudana , Kirana Maharani