Article Per Year (5 Year)
p-Index From 2021 - 2026
7.373
P-Index
This Author published in this journals
All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Penelitian Pendidikan Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer) TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol J-Dinamika: Jurnal Pengabdian Kepada Masyarakat TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika MULTINETICS Jurnal Teknik Informatika (JUTIF) Charity : Jurnal Pengabdian Masyarakat eProceedings of Engineering Jurnal INFOTEL Advance Sustainable Science, Engineering and Technology (ASSET) Jurnal Nasional Sains dan Teknik
Favian Dewanta
Universitas Telkom
Arts Humanities Chemistry Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Social Sciences

Published : 51 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
MESSAGE SCHEDULING ON CAN BUS FOR SHIP ENGINE SYSTEMS Favian Dewanta; Dong-Sung Kim; Rendy Munadi
TEKTRIKA Vol 1 No 1 (2016)
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/tektrika.v1i1.242

Abstract

This paper reports novel algorithm for handling real time message scheduling on CAN bus which consider buffer occupancy and message type (alarm, periodic real time and non real time). This algorithm is derived to reduce burden of the distributed control unit (DCU) which have obligation to deliver message within strict time and also manage buffer storage occupancy. The algorithm works by changing the message priority which is attached in the identifier field of message frame. The priority adjustment is performed by online calculation prior to send the message on the CAN bus. Finally, this proposed algorithm is applied on ship engine systems which consist of certain number of DCUs. In this networked control system, the proposed algorithm can decrease buffer overflow. Furthermore, the important message alarm and periodic real time message can be delivered within the deadline.Keywords: CAN Bus, message scheduling, DCU
Artikel Penelitian Aplikasi Pelatihan Bicara untuk Anak dengan Down Syndrome Menggunakan Algoritma Random Forest: Studi Komparatif Model Pembelajaran Mesin untuk Evaluasi Akurasi Pelafalan Rifky Agung Febrian; FAVIAN DEWANTA; Retno Hendryanti
TEKTRIKA Vol 10 No 1 (2025): TEKTRIKA Vol.10 No.1 2025
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/tektrika.v10i1.9098

Abstract

This study presents the development of a speech training application for children with Down Syndrome, utilizing various machine learning algorithms to evaluate pronunciation accuracy. The study compares four widely used algorithms: K Nearest Neighbors (KNN), Naive Bayes, Support Vector Machine (SVM), and Random Forest, in classifying speech accuracy based on Mel Frequency Cepstral Coefficients (MFCC) features. Additionally, the impact of balancing the dataset using Synthetic Minority Oversampling Technique (SMOTE) is evaluated through 5 fold cross validation. The experimental results demonstrate that Random Forest achieves the highest performance with an overall accuracy of 85.35%, precision of 85.39%, recall of 41.79%, F1 score of 56.19%, and a cross validation accuracy of 85.01%, proving its capability to handle complex speech data. In comparison, KNN attains a cross validation accuracy of 80.54%, balancing precision and recall. Naive Bayes yields an overall accuracy of 80.09% (77.83% in cross validation) and a precision of 78.63%, constrained by its feature independence assumption. Meanwhile, SVM achieves a 77.58% cross validation accuracy but records a recall of 0.00% on the baseline dataset, indicating a failure to detect the minority class of poor pronunciation. The application of SMOTE effectively mitigates class imbalance and enhances recall across all models, particularly for KNN and Naive Bayes. Feature importance analysis confirms that lower order MFCC coefficients contribute significantly to classification accuracy. These quantitative findings underscore the viability of implementing Random Forest into speech therapy systems to deliver objective, robust, and accessible pronunciation assessments for children with Down Syndrome.
Co-Authors Achmad Ali Muayyadi Achmad Rizal Adhirajasa, Radhiyya Putra Adi Nugroho Aditya Karyadi Kusuma Ahmad Tri Hanuranto AJI, IBRAHIM Albi Pernata Jomantara Putra Angga Rusdinar Anggun Fitrian Isnawati ANGGUNMEKA LUHUR PRASASTI Anita Rosdina Nasution Arif Indra Irawan AULIA ARIF WARDANA Baginda Mi’raj Williamsyah Bagus Aditya Bagus Aditya Baiq Yuniar Yustiarini Barends, Julian Kevin Danang Triantoro Murdiansyah Deny Kurniawan Devi Pratami Dhanar Bintang Pratama Dhea Dearly Herman Dimas, I Gusti Ngurah Bagus Doan Perdana Dong-Sung Kim Dwiputra Setiady, R. Rogers Evander Alfa Bahana Fajrin, Alvin Nur Farah Afianti Hanif, Nasywan Harsritanto, Bangun Indrakusumo Radityo Hilal Hudan Nuha Hilman Fauzi, Hilman Ibrahim, Khalif Ika Arum Puspita Istikmal Izzulhaq, Muhammad Hilmi Jesikapna Kristina Br Tarigan Kartika Delimayanti, Mera Kautsar , Rifki Ikbar Litasari Widyastuti, Litasari Loudry Achmad Tiransri Mabruroh, Anggun Mugi Manalu, Jesseline Regina Mera Kartika Delimayanti Muhammad Abdillah Muhammad Abdullah Rasyad Muhammad Bagas Arya Darmawan Muhammad Hafiz Amrullah Muhammad Zuhairi Nasution, Muhammad Surya Alghifary Niken Dwi Wahyu Cahyani Nuha, Hilal H Nurislami, Rifky Nudhar Nurul Ikhsan Nyoman Bogi Aditya Karna Parulian, Christian Antonius Puji Dwika Pradana Purwiko, Daniel Perdana Putra Putra, Fadly Firmansyah Putri, Vicha Octavia Dewanto Putri, Winda Ezranata Raffinaldy, Muhammad Zaky Ranunegoro, Adimas Fachri Rendy Munadi Retno Hendryanti Reza Rendian Septiawan Rezeki, Putri Ayu Ridha Muldina Negara Rifky Agung Febrian Rissa Mellani Nur Wulandari Rizky, Muhamad Wildan Said Ziani Salma Salma Salsabila, Balqis Hasna Saputra, Maulana Reza Sitepu, Dharma Agung Sofia Naning Hertiana Sri Astuti Sri Astuti Subagyo, Lutfi Bramantio Sussi Syamsul Rizal Tarigan , Jesikapna Kristina Br Umar Ali Ahmad Wardana, Fareza Arya ZK Abdurahman Baizal