Suryadiputra Liawatimena
@binus.ac.id
Automotive & Robotics Program, Computer Engineering Department/ Faculty of Engineering
BINUS ASO School of Engineering
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
40
Scopus Publications
428
Scholar Citations
10
Scholar h-index
11
Scholar i10-index
Scopus Publications
- Design of an Automatic Price Tag System for Web-Based Retail Business
Suryadiputra Liawatimena and Devina Gunawan
IEEE
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, and Winda Astuti
IEEE
Lung disease, especially Tuberculosis (TBC), placed the highest death rate in Indonesia. Tuberculosis (TB) in Indonesia is ranked second after India. Therefore, it is important to reduce or early detection of the lung disease, to prevent this disease and speed up handling. The system can recognize the disease lung identification, and the system applied as standalone system. In this work, the Convolutional Neural Network (CNN) approach for identifying diseases lung identification is proposed. The Mel Frequency Cepstral Coefficient (MFCC) applied to process the stethoscope sounds which will used as input to the CNN. The performance of the proposed system has been investigated and resulted. The accuracy of 99% and 98%, for training and testing accuracy respectively. Furthermore, the system accurately detects lung diseases identification. - Automatic Heliostat Directing System Based On Microcontroller ESP32
Richard Medyanto, Nicholas Sanjaya, and Suryadiputra Liawatimena
IEEE
Solar energy is one of the most abundant sources of renewable energy in Indonesia. Solar energy is now typically harnessed using solar panels, but the low efficiency of photovoltaic cells requires the development of other alternatives. The heliostat is a sunlight directing device with mirrors that can be used in a concentrated solar power system. Current heliostats require high capital investment due to their large frames and expensive components. This research was undertaken to develop a lower cost heliostat using a smaller frame, ESP32 microcontroller, servo motor and low-cost components. The position of the sun can be determined using an algorithm based on the National Oceanic and Atmospheric Administration (NOAA) solar calculator, and the mirror is moved to maintain the sun's reflection on a target. The result of this research is a set of heliostat prototypes consisting of the frame and control system. Tests were carried out to test the performance of the designed heliostat and it was found that the heliostat has an accuracy of about 60 cm and can raise temperatures up to 3.41°C. The conclusion is that the heliostat can be used in a concentrated solar power system to heat boilers in solar power towers. - Fish Classification System Using YOLOv3-ResNet18 Model for Mobile Phones
Suryadiputra Liawatimena, Edi Abdurachman, Agung Trisetyarso, Antoni Wibowo, Muhamad Keenan Ario, and Ivan Sebastian Edbert
Universitas Bina Nusantara
Every country in the world needs to report its fish production to the Food and Agriculture Organization of the United Nations (FAO) every year. In 2018, Indonesia ranked top five countries in fish production, with 8 million tons globally. Although it ranks top five, the fisheries in Indonesia are mostly dominated by traditional and small industries. Hence, a solution based on computer vision is needed to help detect and classify the fish caught every year. The research presents a method to detect and classify fish on mobile devices using the YOLOv3 model combined with ResNet18 as a backbone. For the experiment, the dataset used is four types of fish gathered from scraping across the Internet and taken from local markets and harbors with a total of 4,000 images. In comparison, two models are used: SSD-VGG and autogenerated model Huawei ExeML. The results show that the YOLOv3-ResNet18 model produces 98.45% accuracy in training and 98.15% in evaluation. The model is also tested on mobile devices and produces a speed of 2,115 ms on Huawei P40 and 3,571 ms on Realme 7. It can be concluded that the research presents a smaller-size model which is suitable for mobile devices while maintaining good accuracy and precision. - Object Detection for Katsuwonus Pelamis based on ExeML ModelArts
- Inventory Level Reduction with VMI and Internet of Things Method
Ivander Ivander, Karunia Agung Mahardini, and Suryadiputra Liawatimena
ACM
PT. XYZ is a company focusing on producing herbal beverages in glass bottles. Inventory level is an important aspect and needs to be controlled by PT. XYZ because it has a strong relationship with the company's cash flow. At this moment, the average inventory level for the glass bottle of PT. XYZ is 32 days, while the target inventory level of the glass bottle must be achieved by PT. XYZ is 14 days. This research will focus on reducing the inventory level of glass bottles in PT. XYZ and ensure the supply sustainability in a high service level. Reduction of inventory level in PT. XYZ can be achieved by implementing the Internet of Things (IoT) and the Vendor Managed Inventory (VMI) method. VMI method implementation will focus on the stock availability with a low inventory level, and the implementation of the Internet of Things will make the inventory level information can be accessed in real-time and resolve this inventory problem. After improvement had been conducted, the service level (vendor performance) of glass bottles increased from 65% to 95%, and the inventory level reduced from 32 days of inventory (DOI) to 9 days. - Lung nodule detection and classification from Thorax CT-scan using RetinaNet with transfer learning
Ivan William Harsono, Suryadiputra Liawatimena, and Tjeng Wawan Cenggoro
Elsevier BV - Analysis of Sofware Accounting Effectiveness on Data Sales in Bliss Kitchen
Meiryani Meiryani, Hanny Franciska, Rindang Widuri, Suryadiputra Liawatimena, Zaidi Mat Daut, and Hana Ulinnuha
ACM
The development of the increasingly advanced business world will certainly always be related to technological developments, especially in the current 4.0 era. In Indonesia, there are various types of companies such as services, manufacturing, food, and others. The development of the company will cause more and more complex transactions. It is very unlikely that the company has to record all forms of operations with a manual system, especially for large companies with so much data that they need a system to help process data quickly so that all transactions can be processed into reliable information. complete and accurate so that the company's goals can be realized. The purpose of this study was to determine the effectiveness of accurate accounting software for recording sales reports in one of the companies that engaged in food & beverage, namely Bliss Kitchen. The research that the writer did used is a quantitative approach with a survey method. This study finds that Accurate software that applied in Bliss kitchen is effective. Evidence shows the results of the questionnaire from Bliss Kitchen employees is positive about Accurate. - The Influence of Business Strategy, Leadership Styles and Business Process on Qality of Accounting Information
Meiryani Meiryani, Zaidi Mat Daud, Jajat Sudrajat, Tommy Andrian, and Suryadiputra Liawatimena
ACM
This study aims to determine the effect of business strategy on the quality of accounting information, to determine the effect of leadership style on the quality of accounting information and to determine the effect of business processes on the quality of accounting information. This study uses primary data from a population of State-Owned Enterprises throughout Indonesia with a total sample of 61 state-owned enterprises, and is analyzed using a simultaneous equation estimation model or SEM (Structural Equation Modeling), the sample determination is done by purposive sampling. The results showed that (1) leadership style and business processes affect the quality of accounting information systems (2) business strategy has no effect on the quality of accounting information systems on accounting information systems at State-Owned Enterprises in Indonesia. - The Effect of Management Accounting Information Systems and Decision Making on Managerial Performance
Meiryani Meiryani, Gisela Gilberta, Risky Arshanty, ASL Lindawati, and Suryadiputra Liawatimena
ACM
This purpose of this study is find empirically The effect of management accounting information systems and decision making on managerial performance. The research method used is quantitative research methods with primary data obtained from questionnaire data which is measured using a likert scale. The result found that management accounting information system and decision making influence managerial performance. The results showed that the smaller the management accounting information system and decision making owned by the company, the smaller the percentage of managerial performance carried out in the company. The higher the management accounting information system, the higher the company's managerial performance. - 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, and Suryadiputra Liawatimena
ACM
The rapid development has made financial technology/financial technology's innovations more diverse according to the needs and financial problems that arise. With the existence of financial technology (financial technology) it can also make the financial service process faster, more effective and easier. Because of the development in the field of financial technology with the various solutions offered, this study aims to examine the role of financial technology for the development of MSMEs (Micro and Medium Enterprises), this research also includes aspects of the role of financial inclusion for the development of MSMEs to be able to see how much public knowledge is about financial service products and risk knowledge. The case study in this research is MSMEs in the Tangerang area using quantitative methods. The results of research using multiple linear regression analysis found that the role of financial financial technology for the development of MSMEs has a significant positive effect. Meanwhile, financial inclusion for the development of MSMEs has a positive and insignificant effect on the dependent variable. This study concludes that the use of financial technology for MSME businesses, as well as the high reference to financial products, are important factors in encouraging the development of MSMEs. - Dynamic map pathfinding using hierarchical Pathfinding theta star algorithm
- Covid-19: People Activity, Monitoring Development and Environmental Issue
Pantri Heriyati and Suryadiputra Liawatimena
IOP Publishing
Abstract This research attempt to propose the development of human mobility monitoring in the pandemic area in Indonesia. Current data on the COVID-19 is still alarming the world of the vast and aggressive spreading and the urgency to call on responsibilities for pandemic preparedness and response. Country answer to COVID-19 is mainly guided by the international situation, with the advice of organizations such as the WHO, investigation, data modeling based on the best available evidence, and the references. The system-wide response plans will have focused on the steadiness of public and vital public services and the stability of the economy, have been improved for COVID-19, based on the best available systematic evidence and guideline. The methodology uses a descriptive approach with mostly desk research. Data is collected from a secondary source and presented as a report format. For Indonesia COVID-19 situation, to monitor the people activity, this system development needs to find a suitable business center to be determined as a government-controlled logistics center. So that people activity can be more effective because transportation is reduced. With the active location feature activated at the user smartphone, then the system at any time can find out how many people are in a specific location. Their mobility is known at any time. This decision as a basis for the implementation of tracing, tracking, and fencing through infrastructure, systems, and telecommunications applications to support Health Surveillance, therefore, require the government reinforcement. - Convolve4D: A Novelty Approach to Improve Convolutional Process
Suryadiputra Liawatimena, Edi Abdurahman, Agung Trisetyarso, Antoni Wibowo, Wiedjaja Atmadja, Fandy Effendi, and Ivan Sebastian Edbert
IOP Publishing
Abstract Convolutional neural networks (ConvNet or CNN) are deep learning algorithms that can process input images, assign meaning to various aspects or objects in the image (biases and learnable weight) and recognize one image from another. The bigger kernel size will take more time to process the input.We present a novelty way to use a 4D rank tensor to improve a convolutional process. At the early stage of the Convolve4D development, the edge detection with 3×3 kernel and The Laplacian of Gaussian (LoG) with 5×5 kernel size was used to demonstrate the convolutional process improvement. The Convolve4D needs more elaboration to be used into a CNN algorithm. The advantage of convolve4D is only need 9 loops to calculate 81 outputs, whereas convolve2D need 9 × 9 × 3 × 1 × 7 × 7 = 11.907 loops. The result is 18.5% shorter when using a 5×5 kernel; it reduces from 0.54 seconds to 0.44 seconds for the edge detection convolution process. - Auditor's Perception on Technology Transformation: Blockchain and CAATs on Audit Quality in Indonesia
Meiryani -, Monika Sujanto, ASL Lindawati, Arif Zulkarnain, and Suryadiputra Liawatimena
The Science and Information Organization
The purpose of this study is to analyze the auditor’s perception of the implementation of technology transformation such as: blockchain and CAATs that can affect audit quality at the Big Four Public Accounting Firm in Jakarta. This study uses quantitative research methods using a combination of primary and secondary data. The data collection techniques used in this study was questionnaires. The sample was taken using purposive sampling method, which resulted in 60 respondents. Data analysis was carried out with SmartPLS 3.0 and IBM SPSS 26 software which resulted in the conclusion that the auditor’s perception of the implementation of blockchain had a significant positive effect on audit quality, while the auditor’s perception of the implementation of CAATs had no significant positive effect on audit quality. - 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,et al.
IOP Publishing
Abstract It is necessary to study technical factors such as bait used, oceanographic conditions of fishing areas and skipjack tuna trade patterns (Katsuwonus pelamis) as well as other factors in Sulawesi Fisheries. Supporting data to study these technical factors need to be obtained so that it can be improved throughout the year as a skipjack fishing standard with weights taken by the skipjack weights. Therefore, drones and underwater drones with cameras with high-resolution video and images to be fed and processed by computer vision. These drones are operated via Huhate ships which are then used to test efficient technical factors as expected, can be used in determining the size, shape, and colour as well as the analysis of skipjack fish that are in the Fish Aggregating Devices (FADs or Rumpon) in order to manage the management of fisheries managed in Indonesia. - 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,et al.
IOP Publishing
Abstract Tuna fishing in Indonesia is excessive and if left unchecked, some types of tuna will become extinct within 3-10 years. There is an urgent need to help MMAF for producing more accurate fish catches data. This paper proposed a system that utilizes computer vision, fuzzy logic and Global Positioning System (GPS) for supporting a sustainableIndonesian fishery by recognizing and measuring fish length, determine fish age and where is the catch location. The system can help authority to manage sustainable fisheries management in Indonesia. - Design and Implementation of Artificial Grow Light for Germination and Vegetative Growth
Bagus Wira Pratama, Fabian Glenn, Wiedjaja Atmadja, Suryadiputra Liawatimena, and Rudy Susanto
IOP Publishing
Abstract The purpose of this research is to build artificial grow light using LED for growing leafy vegetables from germination to harvesting (vegetative growth). Plants need to capture photons as energy for photosynthesis in 400nm – 780nm spectrum. Different plant species will respond differently to specific light spectrum. Many studies have been done to find optimal light spectrum for plant growth, but there are still many researches to be done because there are still many combinations of light and plants species to be discovered. Specific light spectra combination is called light recipe. This research will help botanist to discover new light recipe for plant species by mixing 6 light spectra with individual intensity and time control. The developed grow light system has graphical user interface that run in Android tablet, and uses MQTT protocol for communication between android application and grow light system. Light recipe and setting are stored in database and the system also has light sensor to monitor light environmental conditions. Grow light consists of 6 types of 3W high power LED with specific color spectrum: Royal Blue, Deep Red, Ultraviolet, Full Spectrum, Far Red, and Natural White. Testing result shows that the system can produce uniform light distribution across the 50 x 50 cm grow area on average 22.6 µmol m-2s-1 using 60° lens. Germination result of lettuce using grow light shows good results compared to sunlight. - Implementation of Data Collecting Platform over Distributed Sensors for Global Open Data for Agriculture and Nutrition
Yuyanto and Suryadiputra Liawatimena
IEEE
Agriculture nowadays deals with numerous factors to support the success of the harvest, such as temperature, air pressure, air humidity, sunlight, soil moisture, rainfall. With so much data that can be collected and analyzed, it is expected to create an early warning system if there are parameters that are already in the critical value and are at risk of causing crop failure. As information technology is developing rapidly, it could be utilized as a tool to support the effort in facing this issue. this study will focus on providing a reliable open data platform which is accessible to relevant stakeholders Google Cloud Platform is selected to serve this purpose to mitigate the risk of maintaining a reliable high availability platform. Google Cloud IoT Core is configured to accept MQTT protocol message sent by sensors. Other google cloud functionality will be configured to store the message into google NoSQL database. Google cloud function will be used to provide data if any request of data to server is being made through REST webservice call. As a result, all the configured Google functionalities are able to synchronize to store and retrieve data.
RECENT SCHOLAR PUBLICATIONS
- ADOPTION OF SD-WAN TECHNOLOGY SOLUTION ACROSS ALL BRANCHES OF BANK MEGA
A Febrian, S Liawatimena
INFORMATIKA 16 (1), 150-159 2025 - 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 - 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 - CAPTURE: A Novel Dataset for Dynamic Hand Gesture Recognition in Classroom Environments
FL Marchai, S Liawatimena
ICIC Express Letter 18 (1), 1229-1236 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 - 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 - Optimizing arowana fish breeding with iot aquaculture
S Liawatimena, G Wiranda, D Arisandi
Digital Zone: Jurnal Teknologi Informasi dan Komunikasi 15 (1), 105-117 2024 - 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 - 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 - Comparison of Segmentation Analysis in Nucleus Detection with GLCM Features using Otsu and Polynomial Methods
D Riana, J Na'am, DUES Saputri, S Hadianti, F Aziz, SP Liawatimena, ...
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) 7 (6), 1422-1429 2023 - Automatic Heliostat Directing System Based On Microcontroller ESP32
R Medyanto, N Sanjaya, S Liawatimena
ICEEI 2023: International Conference on Electrical Engineering and 2023 - 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 - Cloud-Based Game Server Infrastructure AT PT. Games Karya Nusantara (Majamojo)
AY Al Majid, S Liawatimena
Jurnal Indonesia Sosial Teknologi 4 (8), 1048-1058 2023 - Use Cases Artificial Intelligence Indonesia
BR Trilaksono, H Riza, A Jarin, NDS Darmayanti, S Liawatimena
2023 - 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 - Deteksi Objek dan Pengukuran Panjang serta Berat Ikan Menggunakan YOLOv3-ResNet18
S Liawatimena, E Abdurahman, A Trisetyarso, A Wibowo
Prosiding Use Cases Artificial Intelligence Indonesia: Embracing 2023 - Detection and Classification of Moving Vehicle at Night with Visible Camera Using Deep Learning Model
SR Dwi, L Suryadiputra
革新的コンピューティング・情報・制御に関する速報 17 (03), 339 2023 - Object Detection for Katsuwonus Pelamis based on ExeMLModelArt
S Liawatimena, FA Junior, DR Hasan
International Journal of Intelligent Systems and Application in Engineering 2022 - Context Aware Navigation System For Assisting Blind People
SH Rusli, S Liawatimena, A Trisetyarso
ICIC Express Letters 16 (12), 1351–1358 2022 - Strategi Penerapan Riset Operasi Dan Kecerdasan Buatan Dalam Konsep Digital Twin Untuk Manajemen Logistik Kebencanaan Dan Kesehatan Di Ibu Kota Negara Baru Indonesia
IK Singgih, S Liawatimena
Sustainable Supply Chain For Circular Economy, 1-8 2022
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
Citations: 114 - 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
Citations: 39 - 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
Citations: 31 - 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
Citations: 28 - 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
Citations: 27 - PERANCANGAN SISTEM KEAMANAN SEPEDA MOTOR DENGAN SISTEM SIDIK JARI
B Suharjo, S Falentino, S Liawatimena
Jurnal Teknik Komputer 19 (1), 17-27 2011
Citations: 22 - 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
Citations: 17 - 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
Citations: 15 - A mini forklift robot
S Liawatimena, BT Felix, A Nugraha, R Evans
The 2nd International Conference on Next Generation Information Technology 2011
Citations: 14 - Impelementation of information technology service management at data and information system center of XYZ University
K Irfandhi, A Indrawati, D Alexandra, K Wanandi, Y Harisky, ...
ComTech: Computer, Mathematics and Engineering Applications 7 (1), 41-52 2016
Citations: 11 - 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
Citations: 10 - Hypermedia driven application programming interface for learning object management
H Darmadi, S Liawatimena, BS Abbas, A Trisetyarso
Procedia Computer Science 135, 120-127 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
Citations: 8 - 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
Citations: 6 - 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
Citations: 6 - 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
Citations: 6 - 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
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
Citations: 5 - 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
Citations: 5 - Performance Optimization Of Maxpool Calculation Using 4D Rank Tensor
S Liawatimena, E Abdurahman, A Trisetyarso, A Wibowo, IS Edbert, ...
ICIC Express Letters 13 (7), 767-776 2022
Citations: 4