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All Journal MATICS : Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Angkasa: Jurnal Ilmiah Bidang Teknologi International Journal of Industrial Optimization (IJIO) Journal of Computer Networks, Architecture and High Performance Computing Jurnal Pengabdian Masyarakat Bestari (JPMB)
Rachmad Andri Atmoko, Rachmad Andri
Institut Teknologi Sepuluh Nopember, Surabaya
Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Industrial & Manufacturing Engineering Social Sciences

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Development of Web-Based Teleoperation VOCAFE Service Robot Atmoko, Rachmad Andri; Alfarhisi, Zikrie Pramudia
MATICS: Jurnal Ilmu Komputer dan Teknologi Informasi (Journal of Computer Science and Information Technology) Vol 15, No 2 (2023): MATICS
Publisher : Department of Informatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mat.v15i2.23754

Abstract

The design and implementation of a service robot that communicates effectively via the MQTT Protocol is presented in this research. This study focuses on creating a web-based application to control and monitor the movement of restaurant service robots in one of the university's cafes called VOCAFE. This research uses the MQTT communication protocol which allows smooth interaction between the robot and the operator. The design and construction of service robots, including their mechanical parts and communication systems, is described in the engineering section. The test results show the response time of the robot's navigation system, showing performance within a reasonable range. The conclusion highlights the importance of additional testing and research to improve the system. Overall, this research advances the creation of teleoperated restaurant service robots with reliable and effective communication using MQTT.
Controlling Unmanned Surface Vehicle Using MQTT Protocol Atmoko, Rachmad Andri; Yang, Daoguo; Alfiani, M Yayan; Subiyanto, Lilik
Journal of Computer Networks, Architecture and High Performance Computing Vol. 1 No. 2 (2019): Computer Networks, Architecture and High Performance Computing
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnapc.v1i2.229

Abstract

Abstract- The communication system at USV is the most important part of ensuring that the USV control system runs well. Communication systems that are commonly used at USV are generally still local networks. The development of a wider range of communications is needed to improve USV scalability so that the benefits can be increased to support the concept of remote laboratory and remote surveillance. USV is generally controlled using a wireless network with a limited work area using WIFI or using another electromagnetic waves transmission. This research proposes the development control and monitoring systems of USV to be controlled over the Internet by using the message queuing telemetry transport(MQTT) Protocol. This idea makes the USV can be controlled remotely, no longer have to operate it in the field. The control speed response of rudder and motor are analyzed. Performance monitoring of the compass sensor, GPS, and cameras also showed good results. As a result, the average delay time generated is 1.6 second.  
Focus Group Discussion and Workshop on Exploring the Tourism Potential of Jumpinang River Tubing Pasuruan Ramanda, Pramadika; Atmoko, Rachmad Andri
Jurnal Pengabdian Masyarakat Bestari Vol. 3 No. 10 (2024): October 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/jpmb.v3i10.11929

Abstract

This community service program aims to improve the quality of management and promotion of Jumpinang River Tubing tourist destinations in Pasuruan through the use of digital technology. Implementation methods include problem identification, website creation, and guiding and safety training for local communities. This process was carried out for 3 months, with core activities in the form of Focus Group Discussion (FGD), website development, and technical training. The results of the program show that the community's capacity is increased in the management of tourist destinations, as well as the ease of promotion through digital platforms. The implication of this program is the increase in the number of tourist visits and the strengthening of the sustainability of tourism management by the community.
An End-to-End Machine Learning Pipeline for Online Purchase Intention Prediction Using Random Forest and MLOps Practices Setiawan, Akas Bagus; Riskiawan, Hendra Yufit; Putranto, Hermawan Arief; Rizaldi, Taufiq; Atmoko, Rachmad Andri
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 18, No 1 (2026): Februari
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/angkasa.v18i1.3841

Abstract

Predicting online shoppers' purchase intention is a key issue in e-commerce because it directly affects conversion and marketing effectiveness. The main focus of this article is a Random Forest purchase-intention model accompanied by an end-to-end MLOps implementation to ensure production readiness. The dataset used is Online Shoppers Intention with 12,330 samples and 18 features representing administrative, informational, and product-related characteristics, along with behavioral metrics. Preprocessing includes missing-value imputation, numerical feature standardization, categorical feature encoding, and outlier removal using the z-score method. The model is optimized with GridSearchCV and 3-fold cross-validation. Test results show 91.38% accuracy with 73.60% precision, 56.64% recall, and 64.02% F1-score for the positive class. MLOps implementation uses MLflow for experiment tracking, Prometheus-Grafana for monitoring, and a GitHub Actions-based CI/CD pipeline for deployment automation. Overall, the Random Forest model delivers strong predictive performance on e-commerce data and is supported by an MLOps pipeline that improves reproducibility, deployment, and production monitoring
Optimization of real-time forest monitoring system using yolo v9 object detection and 2.4 ghz wireless network: resource allocation, energy efficiency, and industrial deployment strategies Atmoko, Rachmad Andri; Hidayatullah, Rifqi Rahmat; Na’im, Septian Ghuslal Nur; Setiawan, Akas Bagus
International Journal of Industrial Optimization Vol. 7 No. 1 (2026)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/ijio.v7i1.11899

Abstract

Large forest areas are increasingly exposed to illegal activities and environmental threats, while conventional monitoring systems suffer from limited coverage, high energy consumption, and delayed response. To address these challenges, this study proposes an optimized real-time forest monitoring system designed for industrial-scale deployment in remote environments. The primary objective is to enhance surveillance efficiency by integrating AI-based object detection, long-range wireless communication, and resource-efficient system design. The proposed system employs ESP32-CAM sensor nodes integrated with 2.4 GHz CPE wireless links and a gateway-based YOLOv9 object detection framework. Bandwidth utilization is optimized through selective transmission of processed detection metadata instead of raw images, while deployment parameters are optimized using simulation-based planning. A web-based monitoring platform with an optimized REST API supports real-time visualization and alert generation. Experimental results show that the system achieves reliable communication up to 500 m with packet loss below 5% and latency under 50 ms at distances up to 300 m. Human detection accuracy reaches 98.5% under optimal conditions, with performance degradation observed in dense vegetation and low-light environments. Energy evaluation confirms sustainable operation, with ESP32 nodes consuming 160 mA and the gateway operating at 3.7 W. Comparative analysis indicates reductions of 37% in deployment cost, 24% in energy consumption, and 51% in latency compared to similar systems. This study concludes that the proposed architecture effectively balances accuracy, scalability, cost, and energy efficiency. The novelty lies in the integrated optimization of edge-based AI detection, selective data transmission, and simulation-driven deployment for industrial forest monitoring.
Co-Authors Alfiani, M Yayan Hendra Yufit Riskiawan Hidayatullah, Rifqi Rahmat Lilik Subiyanto Na’im, Septian Ghuslal Nur Putranto, Hermawan Arief Ramanda, Pramadika Setiawan, Akas Bagus Taufiq Rizaldi Yang, Daoguo Zikrie Pramudia Alfarhisi