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All Journal JOURNAL OF COASTAL DEVELOPMENT ILMU KELAUTAN: Indonesian Journal of Marine Sciences Reaktor BERKALA FISIKA SAINS DAN MATEMATIKA JURNAL SISTEM INFORMASI BISNIS Jurnal Materi dan Pembelajaran Fisika Jurnal Kedokteran Brawijaya Ganendra: Majalah IPTEK Nuklir Jurnal Sains Materi Indonesia Chem Info YOUNGSTER PHYSICS JOURNAL Manajemen Sumber Daya Manusia Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik JURNAL FISIKA Jurnal Matematika & Sains Jurnal Promkes: The Indonesian Journal of Health Promotion and Health Education Journal of Natural Sciences and Mathematics Research ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika The Indonesian Journal of Occupational Safety and Health Edumatsains Proceeding of the Electrical Engineering Computer Science and Informatics JITEK (Jurnal Ilmiah Teknosains) Majalah Kesehatan FKUB Syntax Literate: Jurnal Ilmiah Indonesia Communications in Science and Technology Journal of Physics and Its Applications DE'RECHTSSTAAT Jurnal Fisika Indonesia CRJIM (Clinical and Research Journal in Internal Medicine) Bulletin of Community Engagement Jurnal Patria Bahari Progressive Physics Journal Teknologi Sipil : Jurnal Ilmu Pengetahuan dan Teknologi Gunung Djati Conference Series LOGIC : Jurnal Ilmu Komputer dan Pendidikan Journal of Agrosociology and Sustainability Indonesian Journal of Biomedicine and Clinical Sciences Deka in Medicine
Heri Sutanto
Departemen Fisika, Fakultas Sains Dan Matematika, Universitas Diponegoro, Semarang
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Journal : JURNAL SISTEM INFORMASI BISNIS

 1 
Resolving Data Imbalance using SMOTE for the Analysis and Prediction of Hate Speech Sentences Sutikman, Sutikman; Sutanto, Heri; Widodo, Aris Puji
Jurnal Sistem Informasi Bisnis Vol 15, No 2 (2025): Volume 15 Number 2 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss2pp198-203

Abstract

Hate speech is characterized as a form of communication that expresses hostility or discontent towards particular individuals, groups, or ethnicities, with the intent to belittle one party. This research aims to examine hate speech expressions on Twitter, assessing their categorization as hate speech through the application of machine learning methodologies. The study incorporates feature engineering techniques, such as Term Frequency-Inverse Document Frequency (TF-IDF) and the Synthetic Minority Over-sampling Technique (SMOTE), to mitigate challenges related to data imbalance. The machine learning models utilized include Logistic Regression (LR), Decision Tree (DT), Gradient Boosting (GB), and Random Forest (RF). Among these models, Logistic Regression (LR) demonstrated the highest efficacy, achieving an accuracy of 91.43%, precision of 88.83%, recall of 93.99%, and an F1 score of 97.10%.
Implementation of the Ensemble Machine Learning Algorithm for Student Dropout Prediction Analysis Winarsih, Winarsih; Sutanto, Heri; Widodo, Aris Puji
Jurnal Sistem Informasi Bisnis Vol 15, No 2 (2025): Volume 15 Number 2 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss2pp159-166

Abstract

Educational Data Mining provides an effective approach to tackle numerous issues within the education sector, including the capacity to perform predictive analyses regarding student attrition based on academic information. In this research, data from the Open University Learning Analytics dataset (OULAD), which is publicly accessible, has been employed, which encompasses student information collected during online learning. We apply various Machine Learning models, including Decision Trees, Naïve Bayes, Logistic Regression, and ensemble approaches like Random Forest and AdaBoost. Among the models tested, Random Forest (RF) achieved the highest accuracy of 89.37%, along with a precision of 89.57% and a recall of 93.86%, using the data splitting approach. When employing an alternative evaluation model, specifically K-Fold Cross Validation, the maximum F1 score achieved was 9.45%. In summary, the ensemble machine learning algorithm, specifically Random Forest (RF), exhibited strong performance in predicting student academic achievement quality.
Co-Authors . Istadi A Asriyanto A. Suhandi Abellia, Gaby Adi Pamungkas Agus Romadhon Agus Subagio Agus Subagio Agus Subagiyo Agustya Tri Surono Ahmad Pradana Ali Roo'in Mas'uul Alkian, Ilham Amalia, Dinda Andri Yanyah Anggraeni Dwi Haryowati Annisa Vidia Fajarini Ansory Khaerul Apriliyanda Nur Adha Ari Wibawa Budi Santosa Aries Subiantoro Aripin, Muhamat Aris Puji Widodo Arisa Dwi Sakti Aristi Dian Purnama Fitri Aristi Dian Purnama Putri Asriyanto Asriyanto Astri Suppa Supratman Aulia Narindra Mukhtar Ayu Adriyuni Lestari Babay Suhaemi, Babay Banto, Paulus Basuki Budi Raharjo Bayu Persawan Benyamin Kusumoputro Budi Mulyanti Budiman, Rizki C. I. Sutrisno Carles Yerid Absalom Nalle Catur Rakhmad , Handoko Choirul Anam Choirul Anam AM Diponegoro Dadang Suprijatna Darwin Ismail Dewi Indiastari Dewi Widyaningsih Didi Candradikusuma Dilla Sistesya Dita Kesumayadi Donni Damara Dwi Adhianto Dwi Antoro, Dwi Dwitarahma, Marshandyar Edi Supriyanto Edwin Zusagka Edy Supriyanto Eko Hidayanto Eko Hidayanto Eko Hidayanto Eko Hidayanto Ery Budiman Fachriza Noor Abdi Fandi Fandi Fatma, Endah Fitri Suryani Arsyad Frederica Thalita Riqti Fredrikus Martono Abing Galih Puspa Saraswati Galih Puspa Saraswati Gede Wiratma Jaya Gede Wiratma Jaya Geoff Dougherty Gultom, Tiopan H. M H Hadiyanto Habik Setiawan Hadiyanto Hadiyanto Hamdy, Muhammad Hamzah Fuadi Hanum Yuda Aditya HAQQI, MUHAMMAD SABILA Hary Kusuma Hendri Widiyandari hermanto, djoko heri Hermawan, Hermawan I Gusti Bagus Wiksuana I Ketut Suada I. Istadi Ida Usman Iis Nurhasanah Iis Nurhasanah Iis Nurhasanah Indiastari, Dewi Indras Marhaendrajaya Indro Adi Nugroho Inur Tivani Isrina Nur Laili Iwan Setiyawan Japeri Japeri Jefri Pratama Susanto, Jefri Pratama Jhonwesly Manik K Sofjan Firdausi K Sofjan Firdausi Kadar Nurjaman Kartini Sinaga Kurniawan, Kukuh Dian Lilis Sulastri Luthfi Nurrahma Shofiana Ma’rufah, Hani Maman Budiman Maman Budiman Mardewi Jamal Marediyanti Pusvitasari Maryanto - Masayu Widiastuti Milanitalia Gadys Rosandy Moehamad Barmawi Mohamad Barmawi Mohammad Arief Rahman Muckharom, Ahmad Ali MUH. SYAFRIL SUNUSI Muhammad Arif Ikrimah Muhammad Irwanto Muhammad Jazir Alkas Muhammad Yusuf Mukaromah, Uli Aprilia Nastiti, Davina Maritza Ndaru Adyono Niniek Budiarti Niniek Budiarti B Nofi Marlini Nuha Nazilah Sahabudin Nur Hasim Efendi Nur Samsu NURJAMAN TINO ENDASAH Nursidi Yunanto Nurwati Nurwati Obet Lumalan Bijang Pandji Triadyaksa Pepen Arifin Pepen Arifin Prameswari Widya Ningtyas Pratama, Satya Priyono Priyono Qudsiyah, Risma Aimatul Rahmawati Rasito Tursinah, Rasito Ravael Eldad Pongtuluran Reyhana Almira Rahma Riky Ardiyanto Rin Hafsatul Asiah Riski Nihayati Rizky Asdi Kesuma Rizky Bimanda Sakti Rob Danang Priatmaja Rohmaniah, Siti Rosandi, Millanitalia Rosandy, Milanitalia Rosandy, Milanitalia Gadys Rosyad, Muhammad Sabilul Rudi Setiawan Rudi Sohidi Tohir S. Suryono Sa'adah, Fatkhiyatus Sahabudin, Nuha Nazilah Sanggam Ramantisan Santi Yuli Astuti Sembiring, Rinawati Setyowati, Lita Sheilla Rully Anggita Sheilla Rully Anngita, Sheilla Rully Simbolon, Ruminsar Simbolon, Ruminsar ok Singgih Wibowo Sinta Silvia Sri Soenarti Sriwidodo, Untung Suddin, Alwi Sufwan Durri Sukirno Sukirno Sukirno Sukirno Sulistia Nurdianik Supriyati Supriyati Sutikman, Sutikman Syamsul Arifin Syamsul Hidayah Tamrin Rahman Tato Bangun, Roy Teguh Tarsito Toto Winata Tri Windarti Triana Sharly P. Arifin Uli Aprilia Mukaromah veronica, Vera W Widiatini Wahyu Ambikawati Wahyu Setia Budi Wilda Amananti Wilda Amananti Winarsih Winarsih Wiwien Andriyanti WIWIEN ANDRIYANTI Yoel Midel Leitabun Yoyon Wahyono Yoyon Wahyono Yunita Indriyani Yuyun, Yuyun Zaenal Arifin Zaenal Arifin Zaenul Muhlisin Zakiyah Rahmawati