Suryadiputra Liawatimena

@binus.ac.id

Automotive & Robotics Program, Computer Engineering Department/ Faculty of Engineering
BINUS ASO School of Engineering

Suryadiputra Liawatimena


                     Download Compact PDF  
https://researchid.co/sliawatimena

EDUCATION

Doctor of Computer Science, Bina Nusantara University, 2022
Doctor of Science Education, Curtin University, 2005
PostGraduate Diploma of Applied Science, Edith Cowan University, 1996

RESEARCH INTERESTS

Machine Learning, Computer Vision, Embedded System, Internet of Things, Metaverse, Mind Map
49

Scopus Publications

536

Scholar Citations

11

Scholar h-index

12

Scholar i10-index

Scopus Publications

  • Development Of Cataract Detection System Based On Convolutional Neural Network (CNN) And Web Application For Patient Monitoring
    Tobijah Aji Wiyata, Irvine, Suryadiputra Liawatimena, Winda Astuti
    Aip Conference Proceedings, 2026
  • NFC and Firebase Implementation for Mobile Monitoring in Cattle Management System
    Kelvin Yunus, Nathaniel Lawrence Gunawana, Felix Wiguna, Suryadiputra Liawatimena, Muhammad Nurul Puji
    Aip Conference Proceedings, 2026
  • DRIVER DROWSINESS DETECTION ON EDGE DEVICE USING TINYML FRAMEWORK
    Icic Express Letters, 2026
  • Annotated drowsiness detection dataset captured using Raspberry Pi 5
    Suryadiputra Liawatimena, Nugro Isworo
    Data in Brief, 2025
    Drowsiness-related accidents represent a critical safety concern in transportation and workplace environments, necessitating real-time monitoring solutions deployable on affordable hardware. This paper introduces the Annotated Drowsiness Detection Dataset, which uniquely combines edge computing optimization with varied lighting conditions (0-615 lux), addressing a critical gap in real-world deployment scenarios. Our dataset comprises 33,750 annotated images collected from 32 participants across five distinct lighting conditions, capturing various states of alertness and drowsiness. Captured using a Raspberry Pi 5 equipped with Camera Module 3, the dataset encompasses facial feature analysis focusing on eye closure patterns and yawning behavior. The recordings were captured at 30 FPS with 640 × 480 resolution using H.264 compression across five lighting conditions (0, 28, 45, 86, and 615 lux) representing nighttime to daylight scenarios. The dataset was systematically collected using standardized protocols, ensuring compatibility with edge computing constraints while maintaining sufficient quality for computer vision applications. The dataset comprises 2092 labeled images divided into training and testing sets-Open Eyes (968/225), Closed Eyes (158/49), No Yawning (496/124), and Yawning (60/12)-alongside 53,480 labeled frames extracted from video recordings: mata_terbuka (30,922), mata_tertutup (4662), tidak_menguap (16,877), and menguap (1019). We provide baseline performance analysis using Edge Impulse's FOMO (Faster Objects, More Objects) algorithm, achieving 92.8 % accuracy for eye state detection and 89.5 % for yawning detection under optimal conditions, while maintaining 76.8 % accuracy under challenging low-light scenarios and real-time performance on resource-constrained devices. The natural class imbalance, with open eyes representing 85.4 % and yawning 5.2 % of samples, reflects realistic drowsiness occurrence patterns. The dataset includes comprehensive metadata, demographic information, and detailed annotation guidelines, making it suitable for training and evaluating lightweight machine learning models for automotive safety applications. This comprehensive dataset enables the development of robust drowsiness detection systems deployable on resource-constrained devices, particularly beneficial for emerging markets where cost-effective solutions are crucial. This contribution addresses the significant gap in publicly available drowsiness detection datasets optimized for edge computing platforms, particularly focusing on the practical challenges of varying illumination conditions in real-world driving scenarios. In essence, the Annotated Drowsiness Detection Dataset stands as a valuable resource for advancing real-time drowsiness detection technologies on edge computing platforms, supporting both static image classification and temporal sequence analysis approaches
  • Internet of things-based cricket environment system to maximize egg production and reduce mortality rate
    Dominic Miracle Tjandrata, Suryadiputra Liawatimena
    Iaes International Journal of Robotics and Automation, 2025
    The deployment of Internet of things (IoT) technologies presents an opportunity to improve efficiency in cricket farming. This study investigates the implementation of an IoT-based system utilizing an ESP32 microcontroller, a suite of environmental sensors, and actuators. The system is supported by a ThingsBoard dashboard for data visualization and a Telegram bot for notifications. The setup was tested on a single cricket cage over a 28-day period and compared against a control group. Each cage contained 20 male and 100 female Cliring crickets. Key parameters analyzed included temperature, humidity, soil moisture, egg yield, food conversion ratio (FCR), and mortality rate. Findings show that the IoT-enabled cage consistently maintained optimal environmental conditions—temperature (20 to 32 °C), humidity (65% to 85%), and soil moisture (60% to 80%)—unlike the control, which experienced greater variability. The IoT cage yielded 87.28 grams of eggs, a 33.33% improvement over the control's 65.46 grams. Additionally, FCR improved from 2.53 to 2.01 grams per egg, and mortality rate dropped from 0.816 to 0.708. These results underscore the effectiveness of IoT systems in enhancing environmental stability, productivity, and survival rates in small- to medium-scale cricket farming operations.
  • Analysis of Product Line Architecture Framework: A Case Study on Automated Soybean Peeling Systems
    Ezra Peranginangin, Christoper Eduard, Suryadiputra Liawatimena, Mahmud Iwan Solihin
    2025 13th International Conference on Orange Technology Icot 2025, 2025
    The application of agile product development approach in modern manufacturing enables the delivery of diverse product solutions while maintaining operation efficiency. This paper is part of research in product architecture model focusing on product line architecture framework adapted for the design of smart product and automated machinery that bridging design strategic-level objectives with technical-level of product design. The framework resulted from this research was generated from principles and insights from mechatronics and computer vision, that able to contribute as the guidance for typical system designers through defining, conceptualizing, and validating product line designs. The conceptual framework is applied to develop the automated soybean peeling machine and describing how mechanical, electrical, and machine learning system is collaborated and optimized. The experimental results from the soybean peeling machine operation demonstrates efficiency and cleanliness using aeration cycles and computer vision. The experiment also justifies the framework’s utility in translating design options into tangible performance outputs. This research suggests methodological roadmaps for designing intelligent product design lines for ensuring robust performance, design flexibility, and efficient resource utilization in evolving automated system business landscape.
  • Machine Learning Approach for Soybean Peeling detection in the Soybean Peeling Machine
    Christofer Andrew Hadiprodjo, Winda Astuti, Ezra Peranginangin, Suryadiputra Liawatimena, Mahmud Iwan Solihin
    Proceedings Ic2ie 2025 8th 2025 International Conference of Computer and Informatics Engineering Human Machine Synergy Brings Together the Physical and Digital Worlds, 2025
    Tempe is a traditional Indonesian food that has gained widespread recognition both domestically and internationally as a healthy source of plant-based protein. One of the critical steps in Tempe production is the peeling of soybean skins, a process that is traditionally performed manually. This method is labor-intensive and often results in uneven skin removal, potentially affecting the quality of the final tempe in terms of both texture and taste. In recent years, various efforts have been made to develop more efficient soybean peeling machines. However, most existing equipment operates mechanically and lacks an integrated quality monitoring system, making it challenging to ensure the consistency and cleanliness of the peeled soybeans. Meanwhile, advances in camera and machine learning technologies have demonstrated their potential in agricultural applications, such as sorting and classifying rice, onions, and other crops based on quality and cleanliness. This concept can be adapted to the soybean peeling process to enable more intelligent monitoring and control. By integrating image processing and machine learning technologies, it is expected that a more efficient and reliable soybean peeling machine can be developed, producing cleaner and higher-quality peeled soybeans and thereby supporting the production of higher-quality tempe. The detection system for the soybean final product involved machine Learning of YOLO (You Only Look Once) which is a relatively new machine learning technique. The effectiveness of the proposed system is evaluated experimentally. The results show that the proposed YOLOv8-based system achieved strong performance, with a precision of 81%, recall of 81%, and mAP@0.5 of 85%.
  • Design of Soybean Peeling Machine System: Mechanical and Electrical
    Christoper Eduard, Winda Astuti, Ezra Peranginangin, Suryadiputra Liawatimena, Mahmud Iwan Solihin
    Proceedings Ic2ie 2025 8th 2025 International Conference of Computer and Informatics Engineering Human Machine Synergy Brings Together the Physical and Digital Worlds, 2025
    This study aims to design and develop an efficient soybean peeling machine that achieves optimal peeling results. The main challenge in the traditional soybean processing is the lengthy manual peeling process and the uneven removal of the seed coat, which adversely affects the quality of soybean-based products such as tempeh. To address these issues, this project integrates mechanical and electrical system design with computer vision and machine learning technologies to detect and ensure the cleanliness of soybeans. The design methodology involves field observations, problem identification, mechanical design using CAD software, electrical system development, as well as comprehensive system testing and evaluation. This research involves developing the system to observe and evaluate the implementation of soybean processing by integrating mechanical, electrical system with machine learning system. Iterative design approach is adopted in fitting and adapting required components for achieving the quality of soybean skin removal process while improving the capability of machine learning for percentage of skin-removed soybean detection. The expected outcomes of this project include enhanced peeling efficiency, reduced manual labor, and improved quality of the peeled soybeans, ultimately supporting increased productivity in the soybean processing industry. The effectiveness of the proposed system is evaluated experimentally. The results show that the proposed system works properly.
  • CAPTURE: A NOVEL DATASET FOR DYNAMIC HAND GESTURE RECOGNITION IN CLASSROOM ENVIRONMENTS
    Icic Express Letters, 2024
  • Design of an Automatic Price Tag System for Web-Based Retail Business
    Suryadiputra Liawatimena, Devina Gunawan
    Proceedings of 2024 International Conference on Information Management and Technology Icimtech 2024, 2024
    Modern retail businesses face a significant challenge with the inefficiency of manually changing price labels on shelves. This manual process not only consumes valuable time and resources but also increases the likelihood of errors, leading to potential inaccuracies in pricing and a less streamlined shopping experience for customers. The proposed solution is the implementation of an Electronic Shelf Label (ESL) system that automatically displays the prices of goods on retail business shelves. This system connects a website (front end and back end) to e-paper via a Wi-Fi network and microcontroller, allowing retail business owners to update prices more easily. Additionally, buyers can search for desired items through the website. The results are the time to send data from the website to the e-paper, namely, to know the performance of the e-paper used. The average time required from 10 attempts to send data from the website to the e-paper is 20.935 seconds. Since the data is connected to the server and will be updated automatically, using this system will be more efficient than manually changing the price label, although it takes time to transfer data from the website to the e-paper.
  • Development of Detection Lung Disease Stand Alone System Based on Convolutional Neural Network (CNN)
    Edgar Caesar Liewarnata, Yosica Mariana, Sofyan Tan, Suryadiputra Liawatimena, Winda Astuti
    Proceedings 7th Ic2ie 2024 2024 International Conference of Computer and Informatics Engineering Generative AI in Democratizing Access to Knowledge and Skills, 2024
  • Comparison of Segmentation Analysis in Nucleus Detection with GLCM Features using Otsu and Polynomial Methods
    Dwiza Riana, Jufriadif Na'am, Daniati Uki Eka Saputri Saputri, Sri Hadianti, Faruq Aziz, Suryadi Putra Liawatimena, Alya Shafra Hewiz, Dika Putri Metalica, Teguh Herwanto
    Jurnal Resti, 2023
  • DETECTION AND CLASSIFICATION OF MOVING VEHICLE AT NIGHT WITH VISIBLE CAMERA USING DEEP LEARNING MODEL
    Icic Express Letters, 2023
  • Automatic Heliostat Directing System Based On Microcontroller ESP32
    Richard Medyanto, Nicholas Sanjaya, Suryadiputra Liawatimena
    Proceedings of the International Conference on Electrical Engineering and Informatics, 2023
  • Fish Classification System Using YOLOv3-ResNet18 Model for Mobile Phones
    Suryadiputra Liawatimena, Edi Abdurachman, Agung Trisetyarso, Antoni Wibowo, Muhamad Keenan Ario, Ivan Sebastian Edbert
    Commit Journal, 2023
  • Object Detection for Katsuwonus Pelamis based on ExeML ModelArts
    International Journal of Intelligent Systems and Applications in Engineering, 2022
  • CONTEXT AWARE NAVIGATION SYSTEM FOR ASSISTING BLIND PEOPLE
    Icic Express Letters, 2022
  • Inventory Level Reduction with VMI and Internet of Things Method
    Ivander Ivander, Karunia Agung Mahardini, Suryadiputra Liawatimena
    ACM International Conference Proceeding Series, 2022
  • THE INFLUENCE OF THE AUDIT COMMITTEE AND AUDIT QUALITY ON PREVENTION OF EARNING MANAGEMENT
    Icic Express Letters, 2022
  • EFFICIENT INSTANCE SEGMENTATION ANNOTATION USING SCRIBBLES AND SUPERPIXEL
    Icic Express Letters, 2022
  • PERFORMANCE OPTIMIZATION OF MAXPOOL CALCULATION USING 4D RANK TENSOR
    Icic Express Letters Part B Applications, 2022
  • Lung nodule detection and classification from Thorax CT-scan using RetinaNet with transfer learning
    Ivan William Harsono, Suryadiputra Liawatimena, Tjeng Wawan Cenggoro
    Journal of King Saud University Computer and Information Sciences, 2022
  • The Effect of Management Accounting Information Systems and Decision Making on Managerial Performance
    Meiryani Meiryani, Gisela Gilberta, Risky Arshanty, ASL Lindawati, Suryadiputra Liawatimena
    ACM International Conference Proceeding Series, 2021
  • The Influence of Business Strategy, Leadership Styles and Business Process on Qality of Accounting Information
    Meiryani Meiryani, Zaidi Mat Daud, Jajat Sudrajat, Tommy Andrian, Suryadiputra Liawatimena
    ACM International Conference Proceeding Series, 2021
  • The Role of Financial Technology for Development of Micro, Small and Medium Enterprises (Msmes) in Indonesia
    Meiryani Meiryani, Noviyanti Hanna Uli Pakpahan, Dianka Wahyuningtias, Zaidi Mad Daud, Suryadiputra Liawatimena
    ACM International Conference Proceeding Series, 2021
  • Analysis of Sofware Accounting Effectiveness on Data Sales in Bliss Kitchen
    Meiryani Meiryani, Hanny Franciska, Rindang Widuri, Suryadiputra Liawatimena, Zaidi Mat Daut, Hana Ulinnuha
    ACM International Conference Proceeding Series, 2021
  • Dynamic map pathfinding using hierarchical Pathfinding theta star algorithm
    Journal of Theoretical and Applied Information Technology, 2021
  • Covid-19: People Activity, Monitoring Development and Environmental Issue
    Pantri Heriyati, Suryadiputra Liawatimena
    Iop Conference Series Earth and Environmental Science, 2021
  • Convolve4D: A Novelty Approach to Improve Convolutional Process
    Suryadiputra Liawatimena, Edi Abdurahman, Agung Trisetyarso, Antoni Wibowo, Wiedjaja Atmadja, Fandy Effendi, Ivan Sebastian Edbert
    Iop Conference Series Earth and Environmental Science, 2021
  • Auditor's Perception on Technology Transformation: Blockchain and CAATs on Audit Quality in Indonesia
    Meiryani -, Monika Sujanto, ASL Lindawati, Arif Zulkarnain, Suryadiputra Liawatimena
    International Journal of Advanced Computer Science and Applications, 2021
  • Design and Implementation of Artificial Grow Light for Germination and Vegetative Growth
    Bagus Wira Pratama, Fabian Glenn, Wiedjaja Atmadja, Suryadiputra Liawatimena, Rudy Susanto
    Iop Conference Series Earth and Environmental Science, 2020
  • Drones Computer Vision using Deep Learning to Support Fishing Management in Indonesia
    Suryadiputra Liawatimena, Wiedjaja Atmadja, Bahtiar Saleh Abbas, Agung Trisetyarso, Antoni Wibowo, Erland Barlian, Lilik Tri Hardanto, Natassya Afdalena Triany, Faisal, Jaka Sulistiawan, Albert Cahya Yojana
    Iop Conference Series Earth and Environmental Science, 2020
  • Computer Vision and Fuzzy Logic for Sustainable Indonesian Fisheries
    Suryadiputra Liawatimena, Wiedjaja Atmadja, Bahtiar Saleh Abbas, Agung Trisetyarso, Antoni Wibowo, Erland Barlian, Lilik Tri Hardanto, Adi Saputra, Putri Sakinah, Hery Purwoko, Indra Zulardi
    Iop Conference Series Earth and Environmental Science, 2020
  • Implementation of Data Collecting Platform over Distributed Sensors for Global Open Data for Agriculture and Nutrition
    Yuyanto, Suryadiputra Liawatimena
    2018 6th International Conference on Cyber and IT Service Management Citsm 2018, 2019
  • Welcome speech from the Indonesia section computer society chapter chair
    Corradini, Hai Wu, Yong, Yulius Prabowo, Martinus Maslim, et al.
    Proceeding 2019 International Conference of Artificial Intelligence and Information Technology Icaiit 2019, 2019
  • Comparison road safety education with and without IoT to develop perceptual motor skills in early childhood children aged 4-5
    Mario Nugroho Willyarto, Ulani Yunus, Anggraeni S. Reksodipuro, Suryadiputra Liawatimena
    Proceeding 2019 International Conference of Artificial Intelligence and Information Technology Icaiit 2019, 2019
  • Lung Nodule Texture Detection and Classification Using 3D CNN
    Ivan William Harsono
    Commit Journal, 2019
  • Hydroponic nutrient mixing system based on STM32
    Riko Tandil, Johan Yapson, Wiedjaja Atmadja, Suryadiputra Liawatimena, Rudy Susanto
    Iop Conference Series Earth and Environmental Science, 2018
  • Message from the Indonesia Section Computer Society Chapter Chair
    Binus Ceo, Gunawa, Ir Harjanto Prabowo, Nugraha Tirta, S Mursitama, et al.
    1st 2018 Indonesian Association for Pattern Recognition International Conference Inapr 2018 Proceedings, 2018
  • A Fish Classification on Images using Transfer Learning and Matlab
    Suryadiputra Liawatimena, Yaya Heryadi, Lukas, Agung Trisetyarso, Antoni Wibowo, Bahtiar Saleh Abbas, Erland Barlian
    1st 2018 Indonesian Association for Pattern Recognition International Conference Inapr 2018 Proceedings, 2018
  • Django Web Framework Software Metrics Measurement Using Radon and Pylint
    Suryadiputra Liawatimena, Harco Leslie Hendric Spits Warnars, Agung Trisetyarso, Edi Abdurahman, Benfano Soewito, Antoni Wibowo, Ford Lumban Gaol, Bahtiar Saleh Abbas
    1st 2018 Indonesian Association for Pattern Recognition International Conference Inapr 2018 Proceedings, 2018
  • Hydroponic system design with real time OS based on ARM Cortex-M microcontroller
    Wiedjaja Atmadja, Suryadiputra Liawatimena, Jonathan Lukas, Eka Putra Leo Nata, Ivan Alexander
    Iop Conference Series Earth and Environmental Science, 2018
  • Hypermedia Driven Application Programming Interface for Learning Object Management
    Herru Darmadi, Suryadiputra Liawatimena, Bahtiar Saleh Abbas, Agung Trisetyarso
    Procedia Computer Science, 2018
  • A study of Information Technology Infrastructure Library (ITIL) framework implementation at the various business field in Indonesia
    Andrean Limanto, Azqa Fikri Khwarizma, Imelda, Reinert Yosua Rumagit, Victor Prasetya Pietono, Yohanes Halim, Suryadiputra Liawatimena
    2017 5th International Conference on Cyber and IT Service Management Citsm 2017, 2017
  • Automating functional and structural software size measurement based on XML structure of UML sequence diagram
    Meiliana, Syaeful Karim, Suryadiputra Liawatimena, Agung Trisetyarso, Bahtiar Saleh Abbas, Wayan Suparta
    2017 IEEE International Conference on Cybernetics and Computational Intelligence Cyberneticscom 2017 Proceedings, 2017
  • Vehicle tracker with a GPS and accelerometer sensor system in Jakarta
    Internetworking Indonesia Journal, 2017
  • Design of an integrated fish auction system in Indonesia using RFID
    Suryadiputra Liawatimena
    Proceedings Aims 2015 3rd International Conference on Artificial Intelligence Modelling and Simulation, 2016
  • A mini forklift robot
    Proceedings 2nd International Conference on Next Generation Information Technology Icnit 2011, 2011
  • The development and validation of an electronics laboratory environment inventory and attitude towards electronics questionnaire in Indonesia
    Journal of Institutional Research South East Asia, 2006

RECENT SCHOLAR PUBLICATIONS

  • Development of cataract detection system based on convolutional neural network (CNN) and web application for patient monitoring
    TA Wiyata, Irvine, S Liawatimena, W Astuti
    AIP Conference Proceedings 3336 (1), 040005 , 2026
    2026
  • Analysis of Product Line Architecture Framework: A Case Study on Automated Soybean Peeling Systems
    E Peranginangin, C Eduard, S Liawatimena, MI Solihin
    2025 13th International Conference on Orange Technology (ICOT), 1-6 , 2025
    2025
  • Revolutionizing Aquaculture Through Intelligent IoT Integration: A Real-time Fish Production Dashboard With Predictive Analytics
    S Liawatimena, IB Suryanto, JTM Hutabarat, W Astuti, MN Puji
    Lex-Localis - Journal of Local Self-Government 23 (11), 2167-2173 , 2025
    2025
  • Design of Soybean Peeling Machine System: Mechanical and Electrical
    C Eduard, W Astuti, E Peranginangin, S Liawatimena, MI Solihin
    2025 8th International Conference of Computer and Informatics Engineering … , 2025
    2025
  • Machine Learning Approach for Soybean Peeling detection in the Soybean Peeling Machine
    CA Hadiprodjo, W Astuti, E Peranginangin, S Liawatimena, MI Solihin
    2025 8th International Conference of Computer and Informatics Engineering … , 2025
    2025
  • Driver Drowsiness Detection on Edge Device Using TinyML Framework
    N Isworo, S Liawatimena
    ICIC Express Letter 99 (99), 9-9 , 2025
    2025
    Citations: 1
  • Self-Supervised Contrastive Learning for Steering Angle Prediction in Autonomous Driving Simulations
    M Phang, S Liawatimena
    Journal of Computer Science 21 (8) , 2025
    2025
  • Internet of Things-Based Cricket Environment System to Maximize Egg Production and Reduce Mortality Rate
    DM Tjandrata, S Liawatimena
    IAES International Journal of Robotics and Automation (IJRA) 14 (2), 281-289 , 2025
    2025
    Citations: 1
  • Adoption Of SD-WAN Technology Solution Across All Branches of Bank Mega
    A Febrian, S Liawatimena
    INFORMATIKA 16 (1), 150-159 , 2025
    2025
    Citations: 1
  • Empowerment of The Cisadane River Through Kirai Tree Planting Partnership Program Between BiNus University and Waste Bank Cisadane River Community
    S Liawatimena, P Heriyanti
    The 6th International Conference and Community Development (ICCD) 2024 … , 2024
    2024
    Citations: 1
  • Mobile Application For Monitoring The Growth of Donated Kiray Trees On The Cisadane Riverbank
    S Tan, JE Telambanua, AP Kusuma, NA Khosasi, NT Lestari, I Mahardika, ...
    The 6th International Conference and Community Development (ICCD) 2024 … , 2024
    2024
  • CAPTURE: A Novel Dataset for Dynamic Hand Gesture Recognition in Classroom Environments
    FL Marchai, S Liawatimena
    ICIC Express Letter 18 (1), 1229-1236 , 2024
    2024
  • Development of Detection Lung Disease Stand Alone System Based on Convolutional Neural Network (CNN)
    EC Liewarnata, Y Mariana, S Tan, S Liawatimena, W Astuti
    2024 7th International Conference of Computer and Informatics Engineering … , 2024
    2024
    Citations: 3
  • Design of an Automatic Price Tag System for Web- Based Retail Business
    S Liawatimena, D Gunawan
    2024 International Conference on Information Management and Technology … , 2024
    2024
  • Optimizing Arowana Fish Breeding with IoT Aquaculture
    A Tan, S Liawatimena, G Wiranda, D Arisandi
    Jurnal Teknologi Informasi dan Komunikasi 15 (1), 105-117 , 2024
    2024
    Citations: 2
  • NFC and Firebase Implementation for Mobile Monitoring in Cattle Management System
    K Yunus, NL Gunawan, F Wiguna, S Liawatimena, MN Puji
    The 8th International Conference on Science and Technology 2023 (ICST 2023) , 2024
    2024
  • Development of Cataract Detection System Based On Convolutional Neural Network (CNN) And Web Application For Patient Monitoring
    Irvine, TA Wiyata, S Liawatimena, W Astuti
    The 8th International Conference on Science and Technology 2023 (ICST 2023) , 2024
    2024
  • Comparison of Segmentation Analysis in Nucleus Detection with GLCM Features using Otsu and Polynomial Methods
    D Riana, J Na’am, D Saputri, S Hadianti, F Aziz, SP Liawatimena, ...
    J. RESTI (Rekayasa Sist. Dan Teknol. Inf.) 7, 1422-1429 , 2023
    2023
    Citations: 3
  • Automatic Heliostat Directing System Based On Microcontroller ESP32
    R Medyanto, N Sanjaya, S Liawatimena
    ICEEI 2023: International Conference on Electrical Engineering and … , 2023
    2023
    Citations: 1
  • The System of Temperature and Water pH Monitoring and Control on Arowana Fish Farm Breeding (Scleropages Formosus) Using IOT Based Farm Aquaculture
    A Tan, S Liawatimena, JJ Tobing, RA Purnomo
    Media Bina Ilmiah 17 (11), 2765-2776 , 2023
    2023
    Citations: 2

MOST CITED SCHOLAR PUBLICATIONS

  • Lung Nodule Detection and Classification from Thorax CT-Scan Using RetinaNet with Transfer Learning
    IW Harsono, S Liawatimena, TW Cenggoro
    Journal of King Saud University - Computer and Information Sciences 32 (4) , 2020
    2020
    Citations: 145
  • Django web framework software metrics measurement using radon and pylint
    S Liawatimena, HLHS Warnars, A Trisetyarso, E Abdurahman, B Soewito, ...
    2018 Indonesian Association for Pattern Recognition International Conference … , 2018
    2018
    Citations: 53
  • A fish classification on images using transfer learning and matlab
    S Liawatimena, Y Heryadi, A Trisetyarso, A Wibowo, BS Abbas, E Barlian
    2018 Indonesian association for pattern recognition international conference … , 2018
    2018
    Citations: 32
  • Hydroponic System Design with Real Time OS Based on ARM Cortex-M Microcontroller
    IA Wiedjaja Atmadja, Suryadiputra Liawatimena, Jonathan Lukas, Eka Putra Leo ...
    International Conference on Eco Engineering Development 2017 , 2017
    2017
    Citations: 31
  • A study of Information Technology Infrastructure Library (ITIL) framework implementation at the various business field in Indonesia
    SL Andrean Limanto, Azqa Fikri Khwarizma, Imelda, Reinert Yosua Rumagit ...
    2017 5th International Conference on Cyber and IT Service Management (CITSM) , 2017
    2017
    Citations: 28
  • Auditor's perception on technology transformation: blockchain and CAATs on audit quality in Indonesia
    M Sujanto, ASL Lindawati, A Zulkarnain, S Liawatimena
    International Journal of Advanced Computer Science and Applications 12 (8) , 2021
    2021
    Citations: 24
  • PERANCANGAN SISTEM KEAMANAN SEPEDA MOTOR DENGAN SISTEM SIDIK JARI
    B Suharjo, S Falentino, S Liawatimena
    Jurnal Teknik Komputer 19 (1), 17-27 , 2011
    2011
    Citations: 23
  • A mini forklift robot
    S Liawatimena, BT Felix, A Nugraha, R Evans
    The 2nd International Conference on Next Generation Information Technology … , 2011
    2011
    Citations: 19
  • Automating functional and structural software size measurement based on XML structure of UML sequence diagram
    S Karim, S Liawatimena, A Trisetyarso, BS Abbas, W Suparta
    2017 IEEE International Conference on Cybernetics and Computational … , 2017
    2017
    Citations: 18
  • Fish Classification System Using YOLOv3-ResNet18 Model for Mobile Phones
    S Liawatimena, E Abdurachman, A Trisetyarso, A Wibowo, MK Ario, ...
    CommIT (Communication and Information Technology) Journal 17 (1), 71-79 , 2023
    2023
    Citations: 13
  • Impelementation of information technology service management at data and information system center of XYZ University
    K Irfandhi, A Indrawati, S Liawatimena
    2016
    Citations: 12
  • Comparison Road Safety Education with and without IoT to Develop Perceptual Motor Skills in Early Childhood Children Aged 4-5
    MN Willyarto, U Yunus, AS Reksodipuro, S Liawatimena
    2019 International Conference of Artificial Intelligence and Information … , 2019
    2019
    Citations: 11
  • The Effect of Management Accounting Information Systems and Decision Making on Managerial Performance
    M Meiryani, G Gilberta, R Arshanty, ASL Lindawati, S Liawatimena
    Proceedings of the 2021 5th International Conference on Software and e … , 2021
    2021
    Citations: 8
  • Hypermedia driven application programming interface for learning object management
    H Darmadi, S Liawatimena, BS Abbas, A Trisetyarso
    Procedia Computer Science 135, 120-127 , 2018
    2018
    Citations: 8
  • Vehicle Tracker with a GPS and Accelerometer Sensor System in Jakarta
    S Liawatmiena, J Linggarjati
    Internetworking Indonesia Journal 9 (2), 9-15 , 2017
    2017
    Citations: 8
  • Drones Computer Vision using Deep Learning to Support Fishing Management in Indonesia
    S Liawatimena, W Atmadja, BS Abbas, A Trisetyarso, A Wibowo, E Barlian, ...
    The 3rd International Conference on Eco Engineering Development 426 (2020) , 2020
    2020
    Citations: 7
  • Lung Nodule Texture Detection and Classification Using 3D CNN
    IW Harsono, S Liawatimena, TW Cenggoro
    CommIT (Communication and Information Technology) Journal 13 (2), 91-103 , 2019
    2019
    Citations: 7
  • Hydroponic nutrient mixing system based on STM32
    R Tandil, J Yapson, W Atmadja, S Liawatimena, R Susanto
    IOP Conference Series: Earth and Environmental Science 195 (1), 012052 , 2018
    2018
    Citations: 7
  • Analisis Dan Perancangan Sistem Karcis Elektronik Pada Gerbang Masuk Busway Dengan Menggunakan RFID
    S Liawatimena
    ComTech: Computer, Mathematics and Engineering Applications 1 (2), 942-955 , 2010
    2010
    Citations: 6
  • Dynamic Map Pathfinding Using Hierarchical Pathfinding Theta Star Algorithm
    I Darwin, S Liawatimena
    Journal of Theoretical and Applied Information Technology 99 (20), 4875 - 4885 , 2021
    2021
    Citations: 5