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All Journal IAES International Journal of Robotics and Automation (IJRA) ELKHA : Jurnal Teknik Elektro Jurnal Mantik Jusikom: Jurnal Sistem Informasi Ilmu Komputer Journal of Computer Networks, Architecture and High Performance Computing Journal of Intelligent Computing, Systems, and Applications (JICSA)
Albert Sagala, Albert
Institut Teknologi Del
Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media

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Implementation of Portable Off-Grid Solar Water Pump for Irrigation Systems Albert Sagala; Pandapotan Siagian; Indra Tambunan; Tennov Simanjuntak
Jurnal Mantik Vol. 5 No. 4 (2022): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The need for irrigation is absolute for the agricultural system. Water pump is a highly needed tool by society in providing clean water and irrigation. If we only rely on rainwater, the land becomes unproductive in the dry season. The unavailability of electricity in many locations in Indonesia is an obstacle for farmers to install drilled wells or draw water from rivers. In this research, a solar water pump system is designed that allows it to be moved easily. The solar pump uses a 100 Ah battery, a 120 WP solar panel and a 1000 watt inverter. The model has been tested to irrigate strawberry gardens in Pintubosi Village, Toba Regency. The pump has been running for 4 hours (12.00 – 16.00 AM) while irrigating and charging the battery are running simultaneously.
Implementation of Wireless Sensor Network (WSN) for Earthquake Detection Imanuel Sitanggang; Joy A. I. Damanik; Fajar Hutabarat; Albert Sagala
ELKHA : Jurnal Teknik Elektro Vol. 14 No. 2 October 2022
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v14i2.56146

Abstract

The current earthquake monitoring system uses a seismometer that can capture seismic vibrations very well but is expensive, heavy, and difficult to launch. Therefore, earthquake monitoring stations can only be launched in a few places in small numbers. This study aims to implement a Wireless Sensor Network (WSN) system for earthquake monitoring. The WSN system has advantages in cost, size, and ease of launch, so it is very appropriate to be used for this purpose. An earthquake detection sensor system has been designed in this study using a vibration sensor and a piezoelectric sensor. When an earthquake occurs, the resulting shock will trigger the vibration sensor and activate the sensor node. The shock data is then captured by the piezo sensor and processed by the microcontroller using Fast Fourier Transform (FFT) to determine the frequency value of the shock. The data is then sent to a gateway via a sensor network and uploaded to the Cayenne monitoring website. Operators can then view the data on the website. Three sensor nodes are implemented in this study. The test is done by placing those sensor nodes together in random positions. A shock is then given to the three sensor nodes, and the resulting data is then observed. The results show that the three sensors can detect, retrieve, process, and send shock data to the Cayenne monitoring website.
Smart Farming- Drip Irrigation Controlled using LR-WPAN with hybrid Power sagala, albert; Sitompul, Janasde; Hutauruk, Joel; Sitorus, Riado
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 5 No. 2 (2022): JURNAL SISTEM INFROMASI DAN ILMU KOMPUTER PRIMA (JUSIKOMP)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v5i2.2462

Abstract

Agricultural sectors always need technology to get higher yields. Wireless Sensor Technology with LR-WPAN gives the opportunity to control the plat with minimum cost. In this paper, we developed a system that optimally waters agricultural crops based on a wireless sensor network technology. The scope in this paper consists of two main components: a hybrid power source and a communication system between end nodes with the gateway. The first component was designed and implemented in control box hardware using PLC (Programmable Logic Controller) to generate the power to all components (microcontroller, sensor, and actuator). The second is transmission data from end node to gateway by utilizing Zigbee protocol. The automation uses data from three soil moisture sensors as a trigger to the ON/OFF solenoid valve for watering the field. It may conclude that the system can work properly, the data from the field was sent real-time. Also, the hybrid power was working properly to supply power.
APPLICATION OF KNN METHOD FOR CLASSIFICATION OF ARRHYTHMIA TYPES BASED ON ECG DATA Manao, Sonatafati; Sitanggang, Delima; Sagala, Albert; Oktarino, Ade; Turnip, Mardi
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 3 (2025): Articles Research July 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i3.6010

Abstract

World Health Organization (WHO) data from June 2024 shows that 31% of adults worldwide or 1.8 billion people do not do physical activity. With that, adults are at higher risk of developing cardiovascular disease and causing an economic and social burden on people with heart disease. K-Nearest Neighbor (KNN) is a machine learning method that can be used to classify or predict heart disease conditions. KNN works by finding the closest data point in the training dataset and then using the class labels of those neighbors to classify new data points. In the context of heart disease, this can be used to predict the likelihood of someone having heart disease. Recording the electrical activity of the heart using a 3-led ECG to determine heart health as well as being material for classification. Exploring the use in the diagnosis of heart disease by focusing on screening and classification of heart disease. By utilizing the KNN method, it has the potential to produce a model that can assist in clinical decision making. Improving the prevention of heart disease and accelerating diagnosis through more sophisticated and technology-based analysis of patient health data.
Unmanned aerial vehicle design for disaster victim search and rescue operation using wireless sensor network localization Hutabarat, Fajar Sam; Sitanggang, Imanuel Maurice Darmawan; Damanik, Joy Andrew Immanuel; Knight, Guntur Petrus Boy; Sagala, Albert
IAES International Journal of Robotics and Automation (IJRA) Vol 11, No 4: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijra.v11i4.pp288-303

Abstract

The search for disaster victims carried out by search-and-rescue (SAR) team mainly uses traditional methods, which are considered to take much time and effort, and pose a high risk for the search team and the victim. Based on this problem, we conducted research to assist disaster victim search. In this research, we designed a system using passive infrared (PIR) sensors to detect and measure the direction angle of the victim. Given the direction angle from different observation points’ perspectives, we determine the victim’s position using the triangulation method. we also designed a quadcopter unmanned aerial vehicle (UAV) to carry this sensor system across the disaster area. For monitoring purposes, a local website was designed to display data generated by the system. Based on test results, the system can determine a victim’s position with a distance difference of less than 5 m. The system can search victim in an empty land ±35 m×15 m wide in 14 minutes 20 seconds. The data monitoring system also displayed the victim’s position, the position of the observation points, and the UAV’s flight path.
Energy-Aware Spatial Uniformity Assessment in a Container Farm Using a 27 Node Wireless Sensor Network Samuel Sormin; Raj David Francisco Damanik; Albert Sagala
Journal of Intelligent Computing, Systems, and Applications (JICSA) Vol. 2 No. 1 (2026): September 2026
Publisher : Penerbit Institut Teknologi Del

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54074/jicsa.v2i1.32

Abstract

Cooling is a major energy demand in container farms, but a suitable room-average temperature does not necessarily indicate spatially uniform growing conditions. This study examined whether air-conditioning energy consumption was associated with microclimate uniformity in a 10-ft container farm. Seven days of temperature, relative-humidity, and actuator-energy data were collected at 10-min intervals using a wireless sensor network deployed at three vertical levels. A total of 27 indoor sensor nodes were installed, but three nodes became non-operational during the observation period, leaving 24 valid nodes for spatial analysis. Spatial uniformity was quantified using vertical thermal and humidity gradients, spatial temperature standard deviation, and temperature range, while three-dimensional inverse distance weighting was used to visualize the spatial distributions. The AC consumed 28.37 kWh, representing 47.8% of the monitored actuator energy. However, the spatial temperature standard deviation remained nearly unchanged between AC OFF and ON conditions at 1.205 and 1.197 °C, while the temperature range increased from 4.539 to 4.680 °C. The vertical thermal gradient was also higher during AC ON periods. Daily AC energy showed negligible correlations with spatial temperature dispersion. These results indicate that greater AC energy consumption was not consistently associated with improved spatial uniformity. Improving air circulation and redistribution should therefore be investigated as a more relevant engineering intervention.
Experimental Comparison of Deployed DQN and Rule-Based Climate Controllers in Indoor Farming: Climate Performance and Electrical Energy Trade-offs Raj Damanik; Samuel Abednego Sormin; Albert Sagala
Journal of Intelligent Computing, Systems, and Applications (JICSA) Vol. 2 No. 1 (2026): September 2026
Publisher : Penerbit Institut Teknologi Del

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54074/jicsa.v2i1.33

Abstract

Indoor farming requires coordinated environmental control while limiting electrical energy use. This experimental case study compares two deployed controller configurations on the same physical platform using separate 24-hour records: a fixed Deep Q-Network (DQN) policy and a hysteresis rule-based controller. The DQN used an 11-feature state, an 11-64-64-8 neural network, eight discrete actuator combinations, and operational action constraints. The deployed control intervals were 10 min for DQN and 5 min for rule-based control. Performance was evaluated using target-band compliance, midpoint mean absolute error (MAE), excursion magnitude, measured actuator electrical energy, and actuator-status telemetry. Temperature compliance was 79.86% for DQN and 77.37% for rule-based control, with midpoint MAE values of 1.10 and 1.28 °C. During lamp-on periods, CO2 compliance was 45.31% and 18.23%, with MAE values of 119.31 and 221.69 ppm, respectively. Relative-humidity regulation was limited by the absence of active dehumidification. Controller-dependent electrical energy was 4.508 kWh in the DQN window and 3.788 kWh in the rule-based window. CO2 gas consumption could not be quantified because no flow meter was installed. Because the deployments differed in date, outdoor conditions, update interval, and auxiliary operational constraints, the findings are interpreted as configuration-level field observations rather than isolated causal effects of the decision algorithms.
Performance Evaluation of a Self-Hosted Edge-IoT Data Pipeline for Hydroponic pH and EC Monitoring Josh Delon; Samuel P; Albert Sagala
Journal of Intelligent Computing, Systems, and Applications (JICSA) Vol. 2 No. 1 (2026): September 2026
Publisher : Penerbit Institut Teknologi Del

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54074/jicsa.v2i1.34

Abstract

Many hydroponic Internet-of-Things prototypes display sensor readings but provide limited evidence that each record remains complete and traceable across the full local data path. This paper evaluates a self-hosted edge-IoT pipeline in which an ESP32 publishes pH and electrical conductivity (EC) measurements through Mosquitto MQTT to Telegraf, InfluxDB, and Grafana on a Raspberry Pi 4. Four traceable datasets were used: 80 calibration observations, 2,881 paired pH–EC records over approximately 48 h, three 30-min high-rate storage trials, and 43 broker-to-dashboard matched observations. The pH mean absolute percentage error (MAPE) was 0.775% and 0.386% at pH 4.00 and 7.00; EC MAPE was 2.173% and 0.986% at 1,413 and 12,880 μS cm−1. The 48-h export contained all 2,881 expected one-minute records. The high-rate trials stored 1,018 of 1,020 expected records, corresponding to 99.80% completeness. All 43 broker values were matched in Grafana. Their absolute timestamp-difference proxy had a mean of 345.91 ms and a 95th percentile of 763.6 ms; it is not claimed as true end-to-end latency because Grafana timestamps were exported at one-second resolution. The resultsdemonstrate a compact and auditable local monitoring pipeline while identifying the instrumentation still requiredfor defensible delay and loss attributio.
Co-Authors Damanik, Joy Andrew Immanuel Delima Sitanggang, Delima Fajar Hutabarat Hutabarat, Fajar Sam Hutauruk, Joel Imanuel Sitanggang Indra Tambunan Josh Delon Joy A. I. Damanik Knight, Guntur Petrus Boy Manao, Sonatafati Mardi Turnip, Mardi Oktarino, Ade Pandapotan Siagian Raj Damanik Raj David Francisco Damanik Samuel Abednego Sormin Samuel P Samuel Sormin Sitanggang, Imanuel Maurice Darmawan Sitompul, Janasde Sitorus, Riado Tennov Simanjuntak