Article Per Year (5 Year)
p-Index From 2021 - 2026
7.484
P-Index
This Author published in this journals
All Journal IAES International Journal of Artificial Intelligence (IJ-AI) ComEngApp : Computer Engineering and Applications Journal Jupiter Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Indonesian Journal of Electrical Engineering and Informatics (IJEEI) JURNAL ILMIAH PENDIDIKAN FISIKA AL BIRUNI JUSIFO : Jurnal Sistem Informasi Annual Research Seminar PROSIDING SEMINAR KIMIA JURNAL NASIONAL TEKNIK ELEKTRO Jurnal Tadris Kimiya Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MEDIA INFORMATIKA BUDIDARMA JOURNAL OF APPLIED INFORMATICS AND COMPUTING SINTECH (Science and Information Technology) Journal SEINASI-KESI Jambura Journal of Educational Chemistry CSRID (Computer Science Research and Its Development Journal) Jurnal Informatika Global Jurnal Informatika dan Rekayasa Elektronik Journal of Information Systems and Informatics Jurnal Generic Bivalen: Chemical Studies Journal CHEDS: Journal of Chemistry, Education, and Science Manajemen dan Kewirausahaan Andalas Journal of Electrical and Electronic Engineering Technology Journal of Educational Sciences DFAME Digital Financial Accounting Management Economics Journal Jurnal Sains dan Kesehatan
Sukemi Sukemi
Fakultas Ilmu Komputer Universitas Sriwijaya
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Immunology & microbiology Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Medicine & Pharmacology Physics Social Sciences Other

Published : 74 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 74 Documents
Search

 4   5   6   7   8 
Membandingkan Nilai Akurasi BERT dan DistilBERT pada Dataset Twitter Faisal Fajri; Bambang Tutuko; Sukemi Sukemi
JUSIFO : Jurnal Sistem Informasi Vol 8 No 2 (2022): December
Publisher : Program Studi Sistem Informasi, Fakultas Sains dan Teknologi, Universitas Islam Negeri Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/jusifo.v8i2.13885

Abstract

The growth of digital media has been incredibly fast, which has made consuming information a challenging task. Social media processing aided by Machine Learning has been very helpful in the digital era. Sentiment analysis is a fundamental task in Natural Language Processing (NLP). Based on the increasing number of social media users, the amount of data stored in social media platforms is also growing rapidly. As a result, many researchers are conducting studies that utilize social media data. Opinion mining (OM) or Sentiment Analysis (SA) is one of the methods used to analyze information contained in text from social media. Until now, several other studies have attempted to predict Data Mining (DM) using remarkable data mining techniques. The objective of this research is to compare the accuracy values of BERT and DistilBERT. DistilBERT is a technique derived from BERT that provides speed and maximizes classification. The research findings indicate that the use of DistilBERT method resulted in an accuracy value of 97%, precision of 99%, recall of 99%, and f1-score of 99%, which is higher compared to BERT that yielded an accuracy value of 87%, precision of 91%, recall of 91%, and f1-score of 89%.
Delineating 12-lead ECG for automated ST-elevation and ST depression detection using deep learning Bambang Tutuko; Annisa Darmawahyuni; Alexander Edo Tondas; Muhammad Naufal Rachmatullah; Firdaus Firdaus; Ade Iriani Sapitri; Anggun Islami; Sukemi Sukemi; Muhammad Fachrurrozi; Siti Nurmaini; Rendy Isdwanta; Jordan Marcelino
Bulletin of Electrical Engineering and Informatics Vol 15, No 1: February 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i1.10531

Abstract

ST-elevation or ST-depression are markers of an abnormal heart condition detected through an electrocardiogram (ECG) where the tracing in the ST-segment is unusually elevated above the TP-segment (baseline). Identifying the localization of the ST-segment on an ECG is difficult because even a minor change in the ST-segment can be obscured by filtering processes. The 12-lead ECG signal is a non-invasive tool in the early detection of ST-elevation based on ST- and TP-segment, with quick and accurate interpretation. This study proposes a standard 12-lead ECG delineation model using deep learning (DL). The ECG signal has been segmented to Pstart–Pend, Pend–QRSstart, QRSstart–Rpeak, Rpeak–QRSend, QRSend-Tstart, Tstart–Tend, and Tend–Pstart. The study interpreted ST-elevation or -depression using an ECG delineation approach guided by medical rules. The findings revealed that the DL model achieved an average accuracy of 99.18%, sensitivity of 92.55%,specificity of 99.55%, precision of 92.61%, and F1-score of 92.52% in limb leads. Similarly, in chest leads, the DL model attained an accuracy of 99.16%, sensitivity of 93.10%, specificity of 99.53%, precision of 93.32%, and F1-score of 93.11%. This study also validated the DL-predicted results by a cardiologist from Mohammad Hoesin Hospital, Indonesia.
Decision Tree for Sentiment Analysis of Facebook Social Media Posts Related to Traffic Congestion in Palembang City Sukemi Sukemi; Ahmad Fali Oklilas; Hatta Efrizal
Journal of Applied Informatics and Computing Vol. 10 No. 3 (2026): June 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i3.12627

Abstract

This study aims to analyze public perception of traffic congestion in Palembang City through sentiment analysis on Facebook using the Decision Tree algorithm. Data were collected from public comments related to traffic over 32 months using web scraping techniques. Text data were processed through preprocessing stages including case folding, tokenization, stemming, and stopword removal, followed by TF-IDF feature extraction with unigram representation. The model classifies sentiments into positive, negative, and neutral categories. The results show an accuracy of 90.42%. However, the model tends to perform better on the neutral class, influenced by imbalanced data distribution. Therefore, evaluation metrics such as precision and recall are also considered to provide a more comprehensive analysis.
Sentiment Analysis of Traffic Congestion in Palembang Using Random Forest Sukemi; Ahmad Fali Oklilas; Muhammad Azrell Samudra
Andalas Journal of Electrical and Electronic Engineering Technology Vol. 6 No. 1 (2026): May 2026
Publisher : Electrical Engineering Dept, Engineering Faculty, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/ajeeet.v6i1.214

Abstract

Traffic congestion is a persistent problem that significantly affects the daily activities of citizens in Palembang City. The public can voice their thoughts and worries about traffic conditions on social media, especially Facebook. This study uses the Random Forest algorithm to examine public opinion regarding traffic congestion in Palembang. The 2,021 Facebook comments in the dataset were gathered by web scraping and subjected to a number of preprocessing steps, such as cleaning, case folding, stemming, tokenization, normalization, and stopword removal. The TF-IDF algorithm was used for term weighting. The Random Forest model was trained and tested to classify sentiments into three categories: positive, neutral, and negative. The model attained good accuracy across training, testing, and validation datasets, according to the evaluation results. This research provides insights into public perceptions of traffic congestion and can serve as a reference for policymakers in developing data-driven strategies to address traffic issues in Palembang City.
Co-Authors Abunoya, Juleha Ilfri Ade Iriani Sapitri Ade Iriani Sapitri Adha, Syahida Agustina, Reny Agustini, Meily P Ahmad Fali Oklilas Aidil Putrasyah Akbar, M. Agung Alexander Edo Tondas Aming, Aming Andari Andari, Andari Andre Hardoni Anggraeni, Egi Syahrah Anggun Islami Angraini, Zihan Nur Apriansyah Putra Aprilisa, Shinta Arif, Ainun Rezkiva Arifian, Hanggara Arni Arni Awaliyah, Nabilah Nailah Ayu Meida Bambang Tutuko Bengawan Alfaresi Cahyadi, Gabriel Ekoputra Hartono Carunisa, Chofifah Darmawahyuni, Annisa Defi Telly Krisnawaty Palingu, Defi Telly Krisnawaty Deviyantoro, Deviyantoro Dewi Puspasari Dian Oktavian Dian Palupi Dian Palupi Rini Dian Palupi Rini Dian Palupi Rini Dian Palupi Rini Dwi Saputri, Rindiani Elza Fitriana Saraswita Endy Suherman Enos Tangke Arung, Enos Tangke Ermatita - Erwin, Erwin Evi Purnamasari Fadhilah Dirayati Fadhilah Dirayati Fadhilah Dirayati Fadjri, Luthfi Talitha Fairuzy Faisal Fajri Faisal Fajri Fajri, Faisal Farah Erika Farah, Harra Ismi Fatimah, Neni Hasnah Febriani, Sarah Ferlian Seftianto Firdaus Firdaus Fitriah Khoirunnisa Gabriel Ekoputra H.C Gizcha Putri Destriana Gunawan, Rony Hadipurnama Satria Hamid Rahman Hardiman Hardiman Hartandi, Dimas Hatta Efrizal Herliani Herliani Hikmatul Rabiah, Nasya Huda Ubaya Ida Sriyanti Iis Intan Widiyowati Indah Nuraini, Indah Irfan, Ade Iriyanti, Novia Dwi Irmawati Irmawati Ishmah, Rismananda Ismali, Dicky Taopik Ismali Jaidan Jauhari Johannes Petrus Joko Purnomo Joko Purnomo Jordan Marcelino Kadir, Nurdianah Abdul Kusumattaqiin, Fataa Laode Rijai Larasati, Herlin Alfiana Lestari, Wahyu Yunita Lia Andiani Lia Andiani M. Fachrurrozi . M. Naufal Rachmatullah Mahmudah, Sofia Maqom Al Mardian, Yessi Maulida Marlina Sylvia Megah Mulya Meily P Agustini Muhammad Azrell Samudra Muhammad Naufal Rachmatullah Muhammad Ridwansyah Muhammad Wahyu Fadli Nadia Nadia Norbaiti, Norbaiti Nur Aliah, Nur Nurfitriani, Ditalia Nursilawati, Nursilawati Octaria, Orissa Olii, Nova Yunita Putri Pakaenoni, Frederich Pandito Dewa Putra Parwito Prasiwi, Dinar Pratama, Yogi Tiara Purwita, Rahmadina Putri, Noni Khaisha Rahmadani, Agung Rahmatullah, Agung Nugraha Ratna Kusumawardani, Ratna Rendy Isdwanta Rifkie Primartha Rifkie Primartha Rindoi, Muhamad Rindoi, Muhammad Riyanto Riyanto RR. Ella Evrita Hestiandari Salam, Supriatno Samsuryadi Samsuryadi Samsyuryadi Samsyuryadi Samsyuryadi Samsyuryadi Sandhira, Aura Chrismania Santi Riana Dewi, Santi Riana Saputri, Deveronica Karning Saputri, Mitha Sari, Eadvin Rosrinda Awang Siti Mariah, Siti Siti Nurmaini Sitti Rahma, Sitti Sobirin Sobirin Suniyati, Suniyati Syamsiar, Syamsiar Tasya, Indriana Turista, Dora Dayu Rahma Usman Usman Wati, Della Syaras Watulingas, Maasje C. Wirhanuddin, Wirhanuddin Yogi Tiara Pratama Yogi Tiara Pratama Yudha Pratomo Yulianti, Evi Yusa Virginiawan Guntara Zainuddin Nawawi