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All Journal TEKNIK INFORMATIKA ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Proceeding of the Electrical Engineering Computer Science and Informatics JOIN (Jurnal Online Informatika) Jurnal Teknik Komputer AMIK BSI JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Teknoinfo JUMANJI (Jurnal Masyarakat Informatika Unjani) MIND (Multimedia Artificial Intelligent Networking Database) Journal Jurnal ICT : Information Communication & Technology Building of Informatics, Technology and Science Technologia: Jurnal Ilmiah Jurnal Informatika dan Rekayasa Elektronik Innovation in Research of Informatics (INNOVATICS) Jurnal Teknik Informatika (JUTIF) Informatics and Digital Expert (INDEX) Journal of Informatics and Communication Technology (JICT) Jurnal Informatika Teknologi dan Sains (Jinteks) Industrial Research Workshop and National Seminar SisInfo : Jurnal Sistem Informasi dan Informatika IJESPG (International Journal of Engineering, Economic, Social Politic and Government) journal Riwayat: Educational Journal of History and Humanities Journal of Informatics and Communication Technology (JICT)
Kasyidi, Fatan
Program Studi Teknik Informatika, Universitas Jenderal Achmad Yani, Cimahi
Humanities 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 Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Social Sciences Other

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SAER : Comparison of Rule Prediction Algorithms on Constructing a Corpus for Taxation Related Tweet Aspect-Based Sentiment Analysis Sopian, Annisa Mufidah; Ilyas, Ridwan; Kasyidi, Fatan; Hadiana, Asep Id
JOIN (Jurnal Online Informatika) Vol 9 No 1 (2024)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v9i1.1275

Abstract

Twitter is a popular social media in Indonesia, and sentiment analysis on Twitter has an important role in measuring public trust, especially in taxation issues. Aspect extraction is an important task in sentiment analysis. In this research, we propose SAER, a Syntactic Aspect-opinion Extraction and Rule prediction, that used language rule-based approach using syntactic features for aspect and opinion extraction, and we compare several algorithm for rule prediction such as Random Forest Regression, Decision Tree Regression, K-Nearest Neighbor Regression (KNN), Linear Regression, Support Vector Regression (SVR), and Extreme Gradient Boosting Regression (XGBoost) that can generate rules with a tree-based approach. By employing syntactic features and rule prediction, it has been able to explore important features in a sentence. In rule prediction, comparison results show that Support Vector Regression (SVR) was identified as the most effective model for aspects rule prediction, providing the best results with a Mean Squared Error (MSE) of 0.022, Root Mean Squared Error (RMSE) of 0.150, and Mean Absolute Error (MAE) of 0.123. While XGBoost was identified as the most effective model for opinions rule prediction, with MSE of 0.013, RMSE of 0.117, and MAE of 0.075. Since we used syntactic feature-based approaches and rule prediction in this work, it is expected to be implemented for other cases, with other domain datasets.
Prediksi Penyakit Diabetes menggunakan Teknik Imputasi Missforest dan Klasifikasi LightGBM FERDIANSYAH, ALDOVA; UMBARA, FAJRI RAKHMAT; KASYIDI, FATAN
MIND (Multimedia Artificial Intelligent Networking Database) Journal Vol 10, No 2 (2025): MIND Journal
Publisher : Institut Teknologi Nasional Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/mindjournal.v10i2.221-234

Abstract

AbstrakDiabetes adalah salah satu penyakit kronis dengan grafik prevalensinya meningkat secara global. Penyakit ini disebabkan oleh gangguan metabolisme tubuh yang memengaruhi kadar gula darah, dan jika tidak ditangani sejak dini dapat menimbulkan komplikasi serius seperti stroke, gagal ginjal, kebutaan, hingga kematian. Penelitian ini mengembangkan model prediksi risiko diabetes berbasis klasifikasi biner menggunakan algoritma LightGBM yang dikombinasikan dengan teknik imputasi Missforest untuk menangani data yang hilang. Dataset yang digunakan berasal dari Pima Indian, tersedia secara publik di Kaggle. Tahapan pre-processing mencakup imputasi data hilang, penanganan outlier dengan Isolution Forest, pembagian data menjadi 80:20. Evaluasi model menunjukkan hasil akurasi sebesar 91,84% dan ROC AUC 0.9614. BMI menjadi faktor paling berpengaruh dalam prediksi yang diikuti oleh DiabetesPedigreeFunction dan Glucose.Kata kunci: diabetes melitus, data mining, klasifikasi, LightGBM, missforestAbstractDiabetes mellitus is one of the most common chronic diseases, with a globally increasing prevalence. It is caused by metabolic disorders that affect blood glucose levels and, if not treated early, can lead to serious complications such as stroke, kidney failure, blindness, and even death. This research develops a diabetes risk prediction model based on binary classification using the LightGBM algorithm combined with the Missforest imputation technique to handle missing data. The dataset used is the publicly available Pima Indian dataset from Kaggle. The pre-processing stages include missing value imputation, outlier handling using Isolution Forest, an 80:20 data split. Model evaluation shows an accuracy of 91.84% and a ROC AUC 0.9614. BMI was found to be the most influential factor in the prediction, followed by DiabetesPedigreeFunction and Glucose.Keywords: diabetes mellitus, data mining, classification, LightGBM, missforest
Co-Authors Ade Kania Ningsih Ade Kania Ningsih Afifah, Hira Nur AGIEL FADILLAH HERMAWAN Agung Besti Agus Komarudin Agya Java Maulidin Aldi Sidik Permana Anbiya, Dhika Rizki Anggoro, Sigit Anshori, Siddiq Ahmad Armandika, Fladio Besti, Agung Djamal, Esmeralda Contesa Djuniardi Suhardinata Dwifani, Bella Melati Wiranur Eddie Khrisna Putra Erna Sesarliana* Esmeralda Contessa Djamal Faiza Renaldi Fajri Rakhmat Umbara FAJRI RAKHMAT UMBARA FAJRI RAKHMAT UMBARA Fajri Rakhmat Umbara FERDIANSYAH, ALDOVA fery bayu aji Fikri Nugraha FIQRI FAKHRUL GUNAWAN Fladio Armandika Hadiana, Asep Id Insan Kamil Nurhikmat Irma Santikarama Janjan Nurjaman Kukuh Yulion Setia Prakoso LIONITAMA, VENA MEILINDA Maulidina Norick Eriyadi Melina Melina Muhamad Rizal Firmansyah NIDA MUTHI ANNISA Nugraha, Fikri Nur Shabrina, Nariswari Nurrokhimah, Siti Oktariansyah, Indro Abri Permana, Acep Handika Permana, Aldi Sidik Puspita Nurul Sabrina Rafli Firdaus Reza Dwi Putra Rezky Yuniarti Ridwan Ilyas Rizky Ryan Dwi Yudistira Seffiera Fauziah SENJAWATI, RINDU TEGAR Sopian, Annisa Mufidah Sukma, Rifaz Muhammad Szalfa Saadiatus Sakinah Umbara, Fajri Rakhmat Wildan Pratama Wina Witanti Yasmina Azzahra Yoga Esa Mahendra Yulison Herry Chrisnanto Yustiana Fauziyah