COMVIS LAB-USK ACHIEVEMENT 2023
Computer Vison Berbasis Deep Learning untuk Aplikasi Pertanian
Teori dan Praktik Kahlil, Muhammad Rizky Munggaran, Laksono Kurnianggoro, Adhiguna Mahendra, Nona Zarima, Fina Noviantika, Alifya Febriana USK Press, 2023
Link Pembembelian :
Website: WEBSITE LINK
Shopee: SHOPEE LINK
Google Book: GOOGLE BOOK LINK
Moving Object Detection For Complex Scenes by Merging BG Modeling And Deep Learning Method
Lin, C. Y., Huang, H. Y., Lin, W. Y., Ng, H. F., Muchtar, K.*, & Nurdin, N. (2023). Moving Object Detection For Complex Scenes By Merging BGModeling And Deep Learning Method. 2023 Chih-Yang Lin et al., published at JAISCR (Q1)
Image Enhancement for Tuberculosis Detection Using Deep Learning
Munadi, K., Muchtar, K.*, Maulina, N., & Pradhan, B. (2020). Image Enhancement for Tuberculosis Detection Using Deep Learning. IEEE Access, 8, 217897-217907.
A Unified Video Summarization For Video Anomalies Through Deep Learning
Muchtar, K.*, Munggaran, M. R., Mahendra, A., Anwar, K., Lin, C. Y. (2022). A Unified Video Summarization For Video Anomalies Through Deep Learning. ICME2022.
Embedded-based Tomato Septoria Leaf Detection with Intel Movidius Neural Compute Stick
Muchtar, K.*, Chairuman., Fitria, M., Kardawi, M. Y., Febriana, A., Zarima, N., & Lin, C. Y. (2021). Embedded-based Tomato Septoria Leaf Detection with Intel Movidius Neural Compute Stick. 2021 IEEE 10th Global Conference on Consumer Electronics (GCCE)
Lightweight Pedestrian Detection through Guided Filtering and Deep Learning
Muchtar, K.*, Saddami. K., Bintang. A., Cenggoro. T. W., Pardamean. B., Lin. C. Y., & Ernita. T. (2021) Lightweight Pedestrian Detection through Guided Filtering and Deep Learning. 2021 IEEE 10th Global Conference on Consumer Electronics (GCCE)
A Lightweight Moving Vehicle Classification System Through Attention-Based Method and Deep Learning
Nasaruddin, Nasaruddin, Kahlil Muchtar*, and Afdhal Afdhal. "A lightweight moving vehicle classification system through attention-based method and deep learning." IEEE Access 7 (2019): 157564-157573.
Deep anomaly detection through visual attention in surveillance videos
Nasaruddin, N., Muchtar, K.*, Afdhal, A., & Dwiyantoro, A. P. J. (2020). Deep anomaly detection through visual attention in surveillance videos. Journal of Big Data, 7(1), 1-17.
Image Enhancement for Tuberculosis Detection Using Deep Learning
Munadi, K., Muchtar, K.*, Maulina, N., & Pradhan, B. (2020). Image Enhancement for Tuberculosis Detection Using Deep Learning. IEEE Access, 8, 217897-217907.
PEOPLE
OUR MEMBER
co-advised member at NCU, Taiwan
Muhammad Saifullah Sani
Master Student
Nurul Asmi Amalia
Topic: TBA
Undergraduate Student
Alya Irzan Ramadhani
Topic: TBA
Undergraduate Student
Muthmainnah
Topic: TBA
Undergraduate Student
Wan Hayatun Nisa
Topic: TBA
Undergraduate Student
Nabila Safira Hamdani
Topic: TBA
Undergraduate Student
Faturrahman Syauqi
Topic: TBA
Undergraduate Student
Panca Wiguna Sitanggang
Topic: TBA
Undergraduate Student
Rangga Dwi Chaniago
Topic: TBA
ALUMNI
INCLUDING MASTER AND UNDERGRADUATE STUDENTS
HARRY RACHMAT, ST.
ELECTRICAL AND COMPUTER ENGINEERING DEPT., USK
Job: Master Student Artificial Intelligence, Universitas Syiah Kuala
Topic: License Plate Recognition via Machine Learning Technique
CHAIRUMAN, ST.
Job: PT. Praweda Ciptakarsa Informatika - S/W Engineer - Jakarta, Indonesia
Topic: Septoria plant disease detection via deep learning approaches
Muchtar, Kahlil, Chairuman, Yudha Nurdin, and Afdhal Afdhal. "Pendeteksian Septoria pada Tanaman Tomat dengan Metode Deep Learning berbasis Raspberry Pi." Jurnal RESTI (Rekayasa Sistem Dan Teknologi Informasi) 5.1 (2021): 107-113. (SINTA 2)
NYAK TWOMAN ANSHARI, ST.
COMPUTER ENGINEERING, USK
Job: PT. Sisnet Mitra Sejahtera - Cloud Engineer - Tangerang, Indonesia
Topic: Smart thrash bin using Intel NCS Movidius and Raspberry
Muchtar, Kahlil, Nyak Twoman Anshari, Chairuman, Khalid Alhabibie, and Khairul Munadi. "Rancang Bangun Purwarupa
Sampah Pintar Berbasis Deep Learning." JTIIK (Jurnal Teknologi Informasi dan Ilmu Komputer) (SINTA 2)
YUMNA MARDHIYAH, ST.
COMPUTER ENGINEERING, USK
Job : BrightCHAMPS - coding educator - Jakarta, Indonesia
Topic: Prototyping face recognition system via Deep Learning
HARDIAN RAMADHANSYAH, ST.
COMPUTER ENGINEERING, USK
Topic: Covid-19 x-ray image classification through image enhancement and deep learning
TIA ERNITA, ST.
COMPUTER ENGINEERING, USK
Topic: Moving Pedestrian Detection through Guided Filter and BG subtraction
Muchtar, Kahlil, Saddami, Khairun, Akhyar, Akhyar, Cenggoro Wawan, Pardamean, Bens, Lin, Chih-Yang, Ernita, Tia. "Lightweight Pedestrian Detection Through Guided Filtering and Deep Learning." IEEE GCCE, Kyoto, 2021
ILAL MAHDI, S.T., M.T.
ELECTRICAL AND COMPUTER ENGINEERING DEPT., USK
Topic: Moving vehicle localization and detection
Mahdi, Ilal, Muchtar, Kahlil, Arnia, Fitri, Ernita, Tia. "Substraksi Latar Menggunakan Nilai Mean Untuk Klasifikasi Kendaraan Bergerak Berbasis Deep Learning." JRE (SINTA 2), 2022
http://jurnal.unsyiah.ac.id/JRE/article/view/25224
(Accepted)
ALIFYA FEBRIANA, S.T.
COMPUTER ENGINEERING, USK
Job: Graduate student in Electrical Engineering Dept. at Yuan-Ze Univ., Taiwan
Topic: Multi-class Coffee Bean Classification via Deep Learning Techniques
Febriana, A., Muchtar, K., Dawood, R., Lin, CY.,(2022, June). "USK-COFFEE Dataset: A Multi-class Green Arabica Coffee Bean Dataset for Deep Learning." In 2022 IEEE International Conference on Cybernetics and Computational Intelligence (CyberneticsCom). IEEE.
MIRA HAYATI, S.T.
COMPUTER ENGINEERING, USK
Topic: Diabetic Retinopathy Classification via Image Filtering and Deep Learning
Hayati, M., Muchtar, K., Roslidar, Maulina, N.
"Image Quality Enhancement For Diabetic Retinopathy Classification Through Deep Learning" In 2022 International Conference on Computer Science and Computational Intelligence (ICCSCI). ICCSCI. (Accepted)
https://www.sciencedirect.com/science/article/pii/S1877050922021895
MUHAMMAD YUSUF KARDAWI, S.T.
COMPUTER ENGINEERING, USK
Job : Master Student in Universitas Indonesia (LPDP Scholarship Awardee)
Topic: Mobile Application for Detection of Knee Osteoarthritis Disease Based on Deep Learning
Kardawi, M. Y., Muchtar, K., Nurdin, Y., Maulina, N., Muchallil, S.,
"A Comparative Analysis of Deep Learning Models for Detection of Knee Osteoarthritis Disease through Mobile Apps." IEEE International Conference on Wireless and Telematics (ICWT), 2022
NONA ZARIMA, S.T.
COMPUTER ENGINEERING, USK
Topic: Utilization of Local Binary Pattern Texture Features on Malaria Disease Classification Based on Deep Learning
Zarima, N., Muchtar, K., Bintang, A., Oktiana, M. (2022, June). "A Comparative Analysis Of Deep Learning Models for Detecting Malaria Disease Through LBP Features." In 2022 IEEE International Conference on Cybernetics and Computational Intelligence (CyberneticsCom). IEEE.
MUHAMMAD JUREJ ALHAMDI, S.T.
ELECTRICAL AND COMPUTER ENGINEERING DEPT., USK
Topic: Design of Self-Driving Car Through Computer Vision and Deep Learning Techniques
MUHAMMAD VICKYA RAMADHAN, S.T.
COMPUTER ENGINEERING, USK
Job : Administration Staf - PT. Telkom Indonesia Tbk
Topic: Comparative Study of Deep Learning Methods in PyTorch Based for Mask Detection
Ramadhan, M. V., Muchtar, K., Nurdin, Y., Oktiana, M., Fitria, M., Maulina, N. "Comparative Analysis on Deep Learning Models for Detecting Face Mask." In 2022 International Conference on Computer Science and Computational Intelligence (ICCSCI). ICCSCI. (Accepted)
https://www.sciencedirect.com/science/article/pii/S1877050922021883
KHAIRUL ANWAR, S.T.
COMPUTER ENGINEERING, USK
Topic: Mobile Application for Anomaly Detection Based on Deep Learning
Muchtar, K., Munggaran, M.R., Mahendra, A., Anwar, K., Lin, C-H. (2022, July). "A Unified Video Summarization for Video Anomalies Through Deep Learning." In 2022 IEEE International Conference on Multimedia and Expo (ICME). IEEE.
TRISYA BALQIS, S.T.
COMPUTER ENGINEERING, USK
Topic: Analysis of Local Binary Pattern Usage in Face Spoofing Detection with Deep Learning
Trisya Balqis., Muchtar, K., Ahmadiar Ahmadiar., Syahrial Syahrial., Cahyadi, Y., Razali, S. "Performance evaluation and analysis of LBP utilization in face spoofing detection with deep learning" in 2022 International Seminar On Research Of Information Technology And Intelligent Systems (ISRITI). ISRITI. (Accepted)
FAJRUL FAHMY, S.T., M.T.
ELECTRICAL AND COMPUTER ENGINEERING DEPT., USK
Topic: Detection of Coffee Bean Defects Based on Digital Image Processing Using Deep Learning
"Performance Evaluation of Coffee Bean Binary Classification through Deep Learning Techniques" in International Conference on Eco Engineering Development 2022 (ICEED). ICEED. (Accepted)
FATA AKRAM, S.T.
COMPUTER ENGINEERING, USK
Topic: Anomaly Event Localization via Background Subtraction Based on GMM
ABU BAKAR JAFAR S.T., M.T.
ELECTRICAL AND COMPUTER ENGINEERING DEPT., USK
Topic: Analysis The Impact Of Improving Image Quality on The Covid-19 Detection Process Using Deep Learning
"Image Enhancement Effects on Chest X-ray Images for COVID-19 Detection" in The 3rd International Conference on Computing and Information Technology (ICCIT) (Accepted)
MUNZIR UMRAN S.T., M.T.
ELECTRICAL AND COMPUTER ENGINEERING DEPT., USK
Topic: Action localization and recognition via BG subtraction and Deep Learning
"Action Localization and Recognition through Unsupervised I3D and TSN" in The 3rd International Conference on Computing and Information Technology (ICCIT) (Accepted)
YAYANG HAFIFAH, S.T
ELECTRICAL AND COMPUTER ENGINEERING DEPT., USK
Topic: Comparison of Deep Learning Performance Coffee Bean Damage Detection
"Comparison of Deep Learning Performance Coffee Bean Damage Detection" in http://ejurnal.stmik-budidarma.ac.id/index.php/jurikom/article/view/5151
NURUL MUTHMAINNAH SABRINI, S.T
ELECTRICAL AND COMPUTER ENGINEERING DEPT., USK
Topic: Analysis Of The Impact Of Image Quality Improvement Based on CLAHE and UM On The Classification Of Diabetic Retinopathy
ADE MIFTAHUL JANNAH, S.T
ELECTRICAL AND COMPUTER ENGINEERING DEPT., USK
Job : Procurement Staff - PT. Epson, Batam
Topic: Comparative Study of Deep Learning Methods Through Improvement of Skin Image Quality of Basal Cell Carcinoma
AKMAL YAFI, S.T
ELECTRICAL AND COMPUTER ENGINEERING DEPT., USK
Topic: Performance Evaluation of Deep Learning Architectures in Hardhat Image Classification.
T. MUNAWAR KHALIL, S.T
ELECTRICAL AND COMPUTER ENGINEERING DEPT., USK
Job : Backend Java Developer - BNI, Jakarta
Topic: Development of a Mobile Application for Coffee BeanType Detection Based on Deep Learning
ULIL ALBAB, S.T
ELECTRICAL AND COMPUTER ENGINEERING DEPT., USK
Topic: Classification of Normal and Damaged Pepper Seeds Based on Deep Learning.
ALDI AFRIZARMAN, S.T
ELECTRICAL AND COMPUTER ENGINEERING DEPT., USK
Topic: Liver and Tumor Segmentation on CT Scan Images with Deep Learning Method Using Pytorch Based U-Net Algorithm
ZAKI FUADI, S.Kom., M.Kom.
DATA SCIENCE AND ARTIFICIAL INTELLIGENCE DEPT
Job: Network Engineer at Diskominfotik Banda Aceh
Topic: SMART INFORMATION SYSTEM FOR TEXT RECOGNITION OF E-KTP IMAGES BASED ON DEEP LEARNING
"The Deep Learning-based Intelligent System for Extracting Information from e-KTP" in The 2nd International Conference on Software Engineering and Information Technology (ICoSEIT) (Published)
MUHAJIR, S.T., M.T
ELECTRICAL AND COMPUTER ENGINEERING DEPT., USK
Topic: Facial Emotion Classification System for Junior High School Learners with Ensemble Majority Vote, SVM and CNN Methods
YULIA SUFANI, S.T
ELECTRICAL AND COMPUTER ENGINEERING DEPT., USK
Topic: CLASSIFICATION OF MELANOMA SKIN CANCER USING IMAGE QUALITY IMPROVEMENT AND DEEP LEARNING
HUZAIR SAPUTRA, S.Kom., M.Kom.
DATA SCIENCE AND ARTIFICIAL INTELLIGENCE DEPT., USK
Job: Programmer Expert at Diskominfotik Banda Aceh
Topic: AUTOMATION OF HYPERPARAMETER TUNING IN YOLO (CASE STUDY: CORN LEAF PEST)
"Comparison Study of Corn Leaf Disease Detection based on Deep Learning YOLO-v5 and YOLO-v8" in The Journal of Engineering and Technological Sciences (JETS) (Published/Q2) https://doi.org/10.5614/j.eng.technol.sci.2024.56.1.5
Novia Brilianty, S.T
ELECTRICAL AND COMPUTER ENGINEERING DEPT., USK
Topic: IMPACT OF IMAGE PRE-PROCESSING ON MELANOMA SKIN CANCER CLASSIFICATION THROUGH DEEP LEARNING TECHNIQUES
Habib, S.T
ELECTRICAL AND COMPUTER ENGINEERING DEPT., USK
Topic: STREAMLIT APPLICATION FOR HELMET DETECTION BASED ON DEEP LEARNING USING THE YOLOS METHOD
Andy Desman, S.T
ELECTRICAL AND COMPUTER ENGINEERING DEPT., USK
Topic: ROAD DAMAGE DETECTION USING YOLOS BASED DEEP LEARNING TECHNIQUES
Patimah Lubis, S.T
ELECTRICAL AND COMPUTER ENGINEERING DEPT., USK
Topic: IMPACT ANALYSIS OF BACKGROUND COLOR ON COFFEE BEAN CLASSIFICATION BASED ON DEEP LEARNING
Qunun Qifa, S.T
ELECTRICAL AND COMPUTER ENGINEERING DEPT., USK
Topic: PEPPER SEED RECORDING DETECTION USING YOLOS-BASED DEEP LEARNING TECHNIQUES
LAB LIFE
Our Research Activities, Recognition and Award
IEEE Journal Recognition'21
IEEE Indonesia Section
"Congratulation to our advisor who received the publication recognition from IEEE Indonesia Section"
ICCSCI'21 Best Oral Presenter
ICCSCI 2021 - Binus University
"Congratulation to Dr. Kahlil who received the Best Oral Presenter at ICCSCI'21"
Assistant Professor since May'21
Universitas Syiah Kuala - USK
"Our advisor is being promoted to Assistant Professor (Lektor) since May 2021"
Recognition as keynote speaker
Universitas Nusa Mandiri, Jakarta, Indonesia
"Thanks for inviting us as keynote speaker, entitled Introduction to AI"
Yusuf attended AI Camp (2021)
IEEE SMC Indonesia
Represented our lab, Yusuf joined AI camp which was organized by IEEE SMC Indonesia. New knowledge obtained!
Alifya graduated from Program Bangkit! (2021)
Ministry of Education RI
Alifya is one the bangkit participant from our department. Good job, Alifya!
Two papers accepted at IEEE GCCE'21, Kyoto!
IEEE Consumer Electronics Society
Delighted to announce our two short digest papers accepted and will be presented at GCCE'21 virtually.
Alifya won Gold Medal from GEMASTIK XIV! (2021)
National Achievement Center Republic of Indonesia
Congratulations to our members on her achievements in the Smart Devices, Embedded Systems and IoT competitions.
Two papers presented at IEEE GCCE'21, Kyoto!
IEEE Consumer Electronics Society
Our advisor has successfully presented two of our papers virtually which were accepted at GCCE'21 in Kyoto, Japan.
General Chair of
IC-COSITE 2021
IEEE Systems, Man, and Cybernetics Society Indonesia
Congratulations to Dr. Kahlil as General Chair of International Conference on COSITE. Good job Dr. Kahlil!
Tia's Graduation August'21
Universitas Syiah Kuala - USK
Congrats, Tia received A for her undergraduate final defense.
Head of PSTEKKOM Department since November'21
Universitas Syiah Kuala - USK
Our advisor is being promoted to Head of Computer Engineering Department since November 2021
Discussion with Prof. Hammam Riza
Universitas Syiah Kuala - USK
Fruitful discussion with Prof. Hammam Riza (former President/Chairman at The Agency for the Assessment and Application of Technology - BPPT and President of Indonesia Collaborative AI Association (KORIKA))
IEEE Senior Membership
IEEE Indonesia Section
Since 22.2.2022, our advisor elevated to IEEE Senior Member (after 15+ years of mixed experience in Industry and Academia). IEEE Senior Membership is an honor bestowed only to those who have made significant contributions to the profession.
Nona's Graduation May'22
Universitas Syiah Kuala - USK
Congrats, Nona received A for her undergraduate final defense and Cumlaude. The research is presented at IEEE CyberneticsCom 2022
Mira's Graduation May'22
Universitas Syiah Kuala - USK
Congrats, Mira received A for her undergraduate final defense.
Vickya's Graduation June'22
Universitas Syiah Kuala - USK
Congrats, Vickya received A for his undergraduate final defense and Cumlaude.
Khairul's Graduation June'22
Universitas Syiah Kuala - USK
Congrats, Khairul received A for his undergraduate final defense and Cumlaude.
Yusuf's Graduation June'22
Universitas Syiah Kuala - USK
Congrats, Yusuf received A for his undergraduate final defense. The research is submitted to IEEE ICWT 2022
SIM-LITABMAS Research Grant
Universitas Syiah Kuala - USK
Congrats on Dr. Kahlil receiving the national-level research grant (PTKN - Penelitian Terapan Kompetitif Nasional) SIMLITABMAS Funds from the Ministry of Education and Technology, Indonesia (2022-2024)
Trisya's Graduation August'03
Universitas Syiah Kuala - USK
Congrats, Trisya received A for his undergraduate final defense. The research is submitted to IEEE ICWT 2022
Happy Graduation for Our COMVIS-LAB Members August'10
Universitas Syiah Kuala - USK
Congrats, Nona, Mira, Vickya, Yusuf, and Khairul for graduated from Computer Engineering 2018
COMVISLAB's Alumni started her graduate degree at YZU (Yuan-Ze Univ. Taiwan), congrats!
Universitas Syiah Kuala - USK
Happy Graduation, Fajrul!
Universitas Syiah Kuala - USK
Happy Graduation, Trisya!
Universitas Syiah Kuala - USK
Congrats Yusuf, LPDP Awardee 2022!
Universitas Syiah Kuala - USK
Congrats Yayang!
Universitas Syiah Kuala - USK
Happy Graduation for Our COMVIS-LAB Members May'25
Congrats, Fata, Hafifah, and Munzir for graduated - USK
Proud to be one of national-level research grant recipients from our study program (computer engineering) Universitas Syiah Kuala #BIMA #research
Universitas Syiah Kuala- USK
COMVISLAB-USK TEAM at Indonesia International IOT Olympiad
Universitas Syiah Kuala- USK
Gold Medal at International I3O 2023!
Universitas Syiah Kuala- USK
Happy Graduation for Our COMVIS-LAB Members August 09, 2023
Congrats Ade, Akmal, and Nurul
for graduated - USK
Universitas Syiah Kuala- USK
Kick-off meeting with new COMVISLAB members!
Universitas Syiah Kuala- USK
Dr. Kahlil at ICoBTA 2023 at Serawak, Malaysia
Universitas Syiah Kuala- USK
COMVISLAB received Kedaireka Grant 2023 from Ministry
Universitas Syiah Kuala- USK
Monev Hibah Kedaireka Batch 3 COMVISLAB dengan Nodeflux bersama Prof. Intan dan Dr. Tri
Universitas Syiah Kuala- USK
Congraduation, Munawwar!
Universitas Syiah Kuala- USK
Congrats, Ulil for graduation!
Universitas Syiah Kuala- USK
Congrats, Aldi for graduation!
Universitas Syiah Kuala- USK
Congrats Yulia Sufani (2019) for the final defense!
Universitas Syiah Kuala- USK
Congraduation Muhajir, our COMVISLAB member. During master degree published 1 conf. article and 1 national journal (rank 1)
Universitas Syiah Kuala- USK
Ramadhan kareem, our comvislab member break fasting together
Universitas Syiah Kuala- USK
Welcome Saifullah to the CVIT Lab, NCU Taiwan.
Universitas Syiah Kuala- USK
Challenge Generative AI for Educators (opinion from our COMVISLAB head released at regional newspaper). Read Now
Universitas Syiah Kuala- USK
Congrats Yulia (COMVISLAB member) for the graduation!
Universitas Syiah Kuala- USK
Congrats, Alifya (former COMVISLAB member) received Master degree in Yuan-Ze Univ., Taiwan.
Universitas Syiah Kuala- USK
Congrats, Novia (COMVISLAB member 2020)
Universitas Syiah Kuala- USK
Congrats, Habib (COMVISLAB member 2020)
Universitas Syiah Kuala- USK
Congrats, Andy (COMVISLAB member 2020)
Universitas Syiah Kuala- USK
Congrats, Patimah (COMVISLAB member 2020)
Universitas Syiah Kuala- USK
COMVISLAB Member Attending Event Workshop AI Redliness Aceh With Prof. Hammam Riza President Of KORIKA
Universitas Syiah Kuala- USK
Dr. Kahlil visited one of the best universities in the world, University of Toronto, Canada.
Universitas Syiah Kuala- USK
Dr. Kahlil at Niagara, Canada in order to attend the 20th IEEE AVSS.
Universitas Syiah Kuala- USK
Welcoming participants!
Universitas Syiah Kuala- USK
With Prof. Siwei
Dr. Isack (NCU, Taiwan) and IEEE Fellow Prof. Siwei Lyu (University at Buffalo, USA)
Universitas Syiah Kuala- USK
Congrats Qifa for graduation!
Universitas Syiah Kuala- USK
Happy graduation the 5th generation!
Universitas Syiah Kuala- USK
Huzair received master degree!
Universitas Syiah Kuala- USK
Congrats Dr. Kahlil COMVISLAB as one of the recipients of Kedaireka Research Grant Batch 4 2024!
Universitas Syiah Kuala- USK
Initial Meeting with New COMVISLAB Members!
Universitas Syiah Kuala- USK
Kuliah Tamu Kedaireka - 24 bersama Nodeflux
Universitas Syiah Kuala- USK
Universitas Syiah Kuala- USK
Monev Internal Penelitian Hibah Prototipe 2024 - Kemdikbudristek
Universitas Syiah Kuala- USK
Paper alumni COMVISLAB Member - Andy Desman diterima di ICCE 2025, Las Vegas
Universitas Syiah Kuala- USK
Happy graduation our former Lab Member, Qifa’20!
Universitas Syiah Kuala- USK
Congrats Novia will pursue Master Degree at YZU, Taiwan
Universitas Syiah Kuala- USK
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kahlil@ieee.org
Lab's Adventure
Competition - Conference - ...
