Article Per Year (5 Year)
p-Index From 2021 - 2026
5.554
P-Index
This Author published in this journals
All Journal Syntax Jurnal Informatika Seminar Nasional Informatika (SEMNASIF) International Journal of Artificial Intelligence Research Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta Faktor Exacta JOURNAL OF APPLIED INFORMATICS AND COMPUTING Conference on Innovation and Application of Science and Technology (CIASTECH) Petir Digital Zone: Jurnal Teknologi Informasi dan Komunikasi MIND (Multimedia Artificial Intelligent Networking Database) Journal Building of Informatics, Technology and Science Techno Xplore : Jurnal Ilmu Komputer dan Teknologi Informasi Jurnal Tekinkom (Teknik Informasi dan Komputer) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) TIN: TERAPAN INFORMATIKA NUSANTARA Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Teknik Informatika (JUTIF) Journal of Applied Data Sciences Decode: Jurnal Pendidikan Teknologi Informasi Scientific Student Journal for Information, Technology and Science Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Algoritma Jurnal Informatika: Jurnal Pengembangan IT Jurnal Komtika (Komputasi dan Informatika)
Hanny Hikmayanti Handayani
Teknik Informatika, Universitas Buana Perjuangan, Karawang
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Social Sciences Veterinary Other

Published : 52 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search
Journal : Jurnal Teknik Informatika (JUTIF)

 1 
SENTIMENT ANALYSIS OF THE SAMBARA APPLICATION USING THE SUPPORT VECTOR MACHINE ALGORITHM Firdaus, Thoriq Janati; Indra, Jamaludin; Lestari, Santi Arum Puspita; Hikmayanti, Hanny
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.4.2673

Abstract

Rapid technological developments have opened up new opportunities for public services by utilizing digital application innovations. One example is the West Java Samsat Mobile (SAMBARA) designed by the West Java Provincial Revenue Agency (BAPENDA). The SAMBARA application is expected to accelerate annual vehicle tax payment obligations, but several reviews on the Playstore show user dissatisfaction with SAMBARA's performance. This study aims to conduct a sentiment analysis of SAMBARA application reviews using the Support Vector Machine algorithm. SAMBARA user review data on Google Playstore was collected using the python programming language google play scraper library on google colabolatory resulting in 1620 data on January 2, 2024. The data pre-processing stage involves various steps such as data cleaning, lowercase conversion, tokenization, stemming, stop words removal, normalization, and the use of the TF-IDF method. The data is then labeled positive and negative, positive for reviews with scores of 4 and 5 and negative labels for reviews with scores of 1 to 3. The Support Vector Machine (SVM) algorithm is used for classification, a well-known method for accurate classification. Model evaluation was conducted using a confusion matrix to calculate the precision, recall, and F1-Score values. The evaluation results provide an overview of the performance of the classification algorithm in grouping user reviews into positive and negative categories. The evaluation results show that the SVM algorithm provides quite good performance with an accuracy value of 88.75%, precision 87.51%, recall 81.25%, and F1-Score 83.71% which can be the basis for improving the quality of service of the SAMBARA application. Because the Sambara application has a negative sentiment of 73.4%, it can be concluded that it still gets a bad rating in terms of use.
IMPROVING HEART DISEASE PREDICTION ACCURACY USING PRINCIPAL COMPONENT ANALYSIS (PCA) IN MACHINE LEARNING ALGORITHMS Jayidan, Zirji; Siregar, Amril Mutoi; Faisal, Sutan; Hikmayanti, Hanny
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 3 (2024): JUTIF Volume 5, Number 3, June 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.3.2047

Abstract

This study aims to improve the accuracy of heart disease prediction using Principal Component Analysis (PCA) for feature extraction and various machine learning algorithms. The dataset consists of 334 rows with 49 attributes, 5 classes and 31 target diagnoses. The five algorithms used were K-nearest neighbors (KNN), Logistic Regression (LR), Random Forest (RF), Support Vector Machine (SVM), and Decision Tree (DT). Results show that algorithms using PCA achieve high accuracy, especially RF, LR, and DT with accuracy up to 1.00. This research highlights the potential of PCA-based machine learning models in early diagnosis of heart disease.
OBJECT DETECTION OF INDONESIAN SIGN LANGUAGE SYSTEM USING YOLOV7 METHOD Genta Kusuma Atmaja; Hikmayanti, Hanny; Rahmat, Rahmat; Sutan Faisal
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.4.2468

Abstract

SIBI or Indonesian Sign Language System, a communication language for the deaf community in Indonesia. SIBI has the advantage of conveying information between individuals. SIBI integrates various hand signals to replace words in Indonesian, enabling effective and inclusive communication. SIBI still lacks educational programs in the community and identifying SIBI has become a major problem in facilitating communication for normal people with hearing impairments. The proposed solution in the development of SIBI detection is to utilize artificial intelligence (AI) technology and digital image processing. This program focuses on understanding the typical hand movements used in SIBI. So a program was created to detect hand language using the YOLOv7 architecture. This study aims to educate those who are not yet familiar with the SIBI hand object that will be detected., especially in the context of sign language recognition for singular pronouns. The research method used is data acquisition by collecting a dataset of 320 images, data annotation by labeling objects on the hand, image pre-processing with augmentation, resizing, and cropping, model training with 100 epochs on both pre-trained models (yolov7 and yolov7-x), and testing is done by detecting 20 images from each class category totaling 5. The dataset used for training 300 images and validation 20 images. The results of the yolov7 model accuracy value are mAP @ .5 of 99.5% and mAP @ .5: .95: of 90.5%. The accuracy of the yolov7-x model is mAP @ .5 99.6% and mAP @ .5: .95: of 75.8%. And the results of the test carried out with 20 images, out of 20 correct images only 18 and the accuracy value obtained is 90%.
Co-Authors AA Sudharmawan, AA Adi Rizky Pratama Ahmad Fauzi Ahmad Fauzi Ajie, Prasetyo AL-MUDZAKIR, TOHIRIN Alif Kirana Amril Mutoi Siregar Andri Safari Anis Fitri Nur Masruriyah Anis Fitri Nurmasruriyah Anton Romadoni Junior April Lia Hananto Arfian Pua Meno Aries Suharso Arif Nurman Arphilia Nur Rani Ayu Ratna Juwita Azhar, Wafiqah Yasmin Bagus Setiawan Baihaqi, Kiki Ahmad Banafshah Shafa Bilawa, Firdho Akbar Carudin . Chorirotun Cholifah Cici Emilia Sukmawati Cucu Sri Cahyanti Deden Wahiddin Dedih, Dedih Devi Fitrianah Dina Wulan Nurjanah Dinar Sugiri Dinda Resna Amalia Dwi Sulistya Kusumaningrum Dwi Vina Wijaya Dwiki Jatikusumo Eldawati, Eldawati Elsa Elvira Awal Emilia, Cici Enoh Suhada Fadmadika, Fadilla Faisal, Sutan Fauzi Ahmad Muda Firdaus, Thoriq Janati Fitri Nur Masruriyah, Anis Garno . Genta Kusuma Atmaja Heri Hermawan Hilda Fitriana Dewi Hilman Abdurrohim Azis Indra, Jamaludin Jannah, Malika Dakhola Jayidan, Zirji Juwita, Ayu Ratna Lestari, Santi Arum Puspita Lila Setiyani MMSI Irfan ,S. Kom Mudzakir, Tohirin Al Muhamad Enoh Suhada Nai Siti Jenab Nazori AZ Nita Fitriyani Nofita Sari Nova Wulandari Nugraha, Najmi Cahaya Nunung Nurjanah Nurlaelasari, Euis Pajar Arifin Pratama, Adi Rizky Rafikoh, Zahra Anggun Rahmat Rahmat Rahmat, R Ramadhan, Naufal Cahya RAMDANI, MUHAMAD IKBAL Ricky Steven Chandra Ridwan, Ridwan Rishma Maudyna Rohana, Tatang Sandi Susanto Saputra, Arbi Niandi Saruni Dwiasnati Septiany, Eva Senia Setyawan Widyarto Siregar, Amril Mutoi suhliyyah Sukmawati, Cici Emilia Sutan Faisal Tri Vicika, Vikha Vikha Tri Vicika Wahiddin, Deden Wati, Devi Fajar Wicaksana, Yusuf Eka Yana Cahyana Yogi Firman Alfiansyah