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Pascal: Journal of Computer Science and Informatics
Published by Cv. Devi Tara Innovations
ISSN : -     EISSN : 30475074     DOI : -
Core Subject : Science, Education, Social, Engineering,
Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Library & Information Science Social Sciences
Pascal: Journal of Computer Science and Informatics is a national scientific journal that publishes research articles in the field of Computer Science and Informatics which include: Computer Engineering, Information Engineering, Computer Science, Information Systems, Information Technology, Software Engineering, Computer Systems, Computer Networks, Application of Information Technology and Other Fields of Computer Science and Informatics that have not been listed
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
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Search results for , issue "vol. 3 no. 02 (2026): pascal: journal of computer science and informatics" : 5 Documents clear
Conceptual Design of an Internet of Things (IoT)-Based Automatic Plant Irrigation System Using ESP8266 NodeMCU and the Blynk Platform Sri Lestari Sitohang; Saliana Br Selian; Chokes Lumbantoruan; Dicky Wahyudi
Pascal: Journal of Computer Science and Informatics Vol. 3 No. 02 (2026): Pascal: Journal of Computer Science and Informatics
Publisher : Devitara Innovations

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Abstract

The increasing demand for efficient plant maintenance has accelerated the adoption of Internet of Things (IoT) technologies in smart agriculture. This paper presents a conceptual design of an IoT-based automatic plant irrigation system utilizing the ESP8266 NodeMCU microcontroller and the Blynk platform for remote monitoring and control. The proposed system design includes the selection of hardware components, namely the YL-69 soil moisture sensor, a 5 V relay module, and a DC 5 V submersible water pump, as well as the development of software architecture incorporating automatic irrigation control logic and Blynk widget configuration. The proposed architecture adopts a three-layer IoT model consisting of the device layer, the Wi-Fi communication layer, and the application layer implemented through the Blynk platform. The designed system is intended to automatically activate the water pump when the measured soil moisture falls below a predefined threshold and deactivate it once sufficient soil moisture has been achieved. In addition, users can monitor soil moisture conditions in real time and manually operate the irrigation system through the Blynk mobile application. A comparative analysis of existing IoT-based irrigation studies indicates that the proposed conceptual framework provides a comprehensive integration of hardware architecture, communication mechanisms, software workflow, and user interface design. Furthermore, the selection of ESP8266 NodeMCU and the Blynk platform offers advantages in terms of ease of implementation, low deployment cost, scalability, and user-friendly operation. Although this study is limited to the conceptual design stage without prototype implementation or experimental validation, the proposed framework can serve as a practical reference for future development and implementation of IoT-based automatic irrigation systems.
Design and Implementation of IoT-Based Soil Moisture Monitoring and Automatic Irrigation System Using ESP32 Tasya Sihombing; Maina Lestari Lembong; Asep Arswendi Siburian; Dirjen Berutu
Pascal: Journal of Computer Science and Informatics Vol. 3 No. 02 (2026): Pascal: Journal of Computer Science and Informatics
Publisher : Devitara Innovations

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Abstract

Proper soil moisture management plays an essential role in supporting plant growth and improving water-use efficiency. Manual irrigation is still widely practiced and often ignores the actual soil moisture condition, leading to either excessive or insufficient watering. This study aims to design and implement an Internet of Things (IoT)-based soil moisture monitoring and automatic water pump control system using the ESP32 microcontroller. The research employed a Research and Development (R&D) approach through prototype development, including literature review, system requirement analysis, hardware and software design, system implementation, sensor calibration, and performance evaluation. The proposed system integrates a capacitive soil moisture sensor, relay module, 12 V DC water pump, and the Blynk platform for real-time monitoring. A hysteresis control strategy was implemented by setting the lower and upper soil moisture thresholds at 40% and 60%, respectively, to improve pump stability. Experimental results demonstrated that the developed system achieved an average sensor error of 3.42%, an average response time of 2.14 seconds, and maintained soil moisture within the range of 50.9%–54.2% during a seven-day evaluation period. Furthermore, the system reduced water consumption by 31.6% compared with conventional manual irrigation. These findings indicate that the proposed IoT-based system is capable of providing reliable real-time soil moisture monitoring and efficient automatic irrigation, making it suitable for potted plants, home gardens, and small-scale greenhouse applications.
Development of an Internet of Things (IoT)-Based Plant Monitoring System Using a Capacitive Soil Moisture Sensor, ESP32, Firebase Realtime Database, and a Mobile Application Nur Haliza Daulay; Edi Irawan Siregar; Wahyudi Bayu Pamungkas; Yeremia Herlanggi Wijaya
Pascal: Journal of Computer Science and Informatics Vol. 3 No. 02 (2026): Pascal: Journal of Computer Science and Informatics
Publisher : Devitara Innovations

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Abstract

Soil moisture is one of the most important parameters affecting plant growth because it is directly related to water availability in the growing medium. Conventional soil moisture monitoring is generally performed manually, relying on visual observation, lacking periodic data recording, and making remote monitoring difficult. This study aims to design, implement, and evaluate an Internet of Things (IoT)-based plant monitoring system using a capacitive soil moisture sensor, an ESP32 microcontroller, Firebase Realtime Database, and an Android mobile application. The study employed an engineering research approach using the Prototype development model, consisting of requirements analysis, system design, prototype development, hardware and software integration, and system testing. The prototype was evaluated using 10 chili pepper pots over a period of 14 days with a data acquisition interval of 30 minutes. The results demonstrate that the proposed system successfully measures soil moisture, transmits data to Firebase in real time, and displays soil conditions through the mobile application with an average response time of 2.6 seconds. Accuracy evaluation indicates that the capacitive soil moisture sensor provides a relatively low measurement error, making it suitable for small-scale plant monitoring applications. In addition to displaying soil moisture values, the system automatically classifies soil conditions into dry, normal, and wet categories, enabling users to determine appropriate irrigation schedules more easily. This study contributes a simple, low-cost, and user-friendly IoT-based plant monitoring system that supports the implementation of smart farming for household gardening, educational purposes, and small-scale agricultural applications.
Development and Performance Evaluation of an IoT-Based Smart Irrigation System for Real-Time Soil Moisture Monitoring and Automatic Irrigation Siti Rubiah; Tasya Halizha Lubis; Haryoko Ichsan Prabowo; Dina Lorensa Sinaga; Sony Bahagia Sinaga
Pascal: Journal of Computer Science and Informatics Vol. 3 No. 02 (2026): Pascal: Journal of Computer Science and Informatics
Publisher : Devitara Innovations

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Abstract

Manual irrigation management often results in watering practices that do not reflect actual soil moisture conditions, leading to inefficient water use and reduced crop productivity. This study aims to design and implement an Internet of Things (IoT)-based Smart Irrigation System capable of monitoring soil moisture in real time while automatically controlling the irrigation process. The research employed a Research and Development (R&D) method using a prototyping approach, including requirement identification, system design, hardware and software implementation, system integration, and performance testing. The proposed system was developed using an ESP32 microcontroller, a capacitive soil moisture sensor, a relay module, a water pump, and an internet-based monitoring dashboard. System performance was evaluated through sensor readings, real-time data monitoring, automatic pump control, response time measurement, and operational stability testing. The results demonstrate that the proposed system successfully monitors soil moisture, transmits data to the dashboard in real time, and automatically controls the irrigation pump based on predefined soil moisture thresholds. The implementation of a threshold with hysteresis mechanism improves pump stability by reducing frequent switching caused by sensor fluctuations. Furthermore, the system exhibits a relatively fast response time and stable operation throughout the testing period. These findings indicate that IoT technology provides an effective solution for developing efficient, practical, and scalable smart irrigation systems suitable for small- and medium-scale agricultural applications.
A Comparative Analysis of the Efficiency of Blockchain Consensus Algorithms: Proof of Work, Proof of Stake, Delegated Proof of Stake, and Practical Byzantine Fault Tolerance Desman Karya Jaya Zega; Laurensius So Putra Jaya Halawa; Siaman Lase; Melissa Putri Hutabarat
Pascal: Journal of Computer Science and Informatics Vol. 3 No. 02 (2026): Pascal: Journal of Computer Science and Informatics
Publisher : Devitara Innovations

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Abstract

The rapid development of blockchain technology has accelerated the adoption of distributed systems across various sectors, including financial services, supply chain management, the Internet of Things (IoT), and digital government. Consensus algorithms play a fundamental role in blockchain by ensuring transaction validity and data consistency without relying on a centralized authority. Since each consensus mechanism exhibits different characteristics, a comparative analysis is required to identify its strengths and limitations. This study aims to analyze and compare the efficiency of four major blockchain consensus algorithms, namely Proof of Work (PoW), Proof of Stake (PoS), Delegated Proof of Stake (DPoS), and Practical Byzantine Fault Tolerance (PBFT). The research employed a comparative literature study by collecting, selecting, and analyzing relevant scientific publications. The comparison was conducted based on transaction throughput, energy efficiency, communication complexity, transaction finality, network characteristics, and fault tolerance. The results indicate that no single consensus algorithm provides optimal performance across all evaluation parameters. PoW offers high security and decentralization but suffers from high energy consumption and low throughput. PoS provides a balanced trade-off among energy efficiency, security, and scalability, while DPoS improves transaction capacity through a delegated validator mechanism. PBFT achieves high throughput and instant transaction finality but is more suitable for permissioned blockchain environments with a limited number of participating nodes. This study proposes a comparative analysis framework that can serve as a reference for selecting an appropriate consensus algorithm based on blockchain implementation requirements.

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