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Journal : Piston: Journal of Technical Engineering

Automatic Plant Watering System Using Arduino Uno and L298N DC Motor, (Study Case " Calathea"). Frengki Simatupang
Piston: Journal of Technical Engineering Vol 7, No 1 (2023)
Publisher : Prodi Teknik Mesin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/pjte.v7i1.30057

Abstract

Abstrak: Perkembangan teknologi dalam sektor pertanian membuat para petani harus mampu beradaptasi dengan teknologi yang dapat digunakan untuk membantu pekerjaan menjadi lebih efektif dan efisien. Perkembangan teknologi yang dimaksud salah satunya menggantikan system manual menjadi system otomatisasi. Contoh system otomatisasi yang dapat dipakai oleh petani adalah penyiram tanaman. Namun Saat ini masih banyak petani melakukan penyiraman tanaman secara manual manual, yaitu petani harus selalu melihat tanaman untuk melakukan penyiraman langsung. Hal ini sering dianggap kurang efisien dan efektif karena petani tidak punya cukup waktu untuk menyiram tanaman, serta kurang mengetahui berapa banyak air yang dibutuhkan oleh tanaman. Jika Tanaman tidak disiram tepat waktu dapat dipastikan tanaman menjadi layu dan akhirnya tanaman bisa mati. Berdasarkan permasalahan yang terjadi, penulis mengembangkan sebuah sistem otomatisasi yang dapat membantu petani melakukan penyiraman tanaman secara otomatis. Pada sistem otomatisasi yang dibangun menggunakan Mikrokontroller Arduino Uno sebagai pengontrol utama, Sensor kelembaban tanah Capasitive Soil Moisture sebagai sensor untuk mengetahui kelembaban tanah. Motor DC L298N akan digunakan untuk mengatur Pompa mini DC untuk mengalirkan air ke tanaman berdasarkan hasil pembacaan dari sensor kelembaban. LCD I2C sebagai monitor untuk melihat hasil pembacaan sensor kelembaban. Setelah pengembangan sistem otomatisasi ini diharapkan dapat berjalan dengan baik dan digunakan petani untuk melakukan penyiraman tanaman mereka sehingga tanaman dapat dipantau pertumbuhannya
Design and Implementation of Rain Gauge Measurement using Ultrasonic Sensor HC-SR04 (Case Study using Ombrometer Method) Simatupang, Frengki; Nainggolan, Waldo Owen
Piston: Journal of Technical Engineering Vol. 7 No. 2 (2024)
Publisher : Program Studi Teknik Mesin Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/pjte.v7i2.36619

Abstract

There are several types of rainfall measurement method, such as tipping bucket, siphon, rain water weight and other various methods. This research developed the alternative and affordable method to measure the rain gauge using ultrasonic sensor. The method used to convert the volume of collected rain water to the level of a rain gauge is Ombrometer method. Ultrasonic Sensor HC-SR04 is chosen as a sensor to measure the water level in the collected rain water tank because it categorized as a low-cost sensor. Measuring the level of rainfall using an ultrasonic sensor is influenced by the design of the reservoir tank and also the resolution of the ultrasonic sensor. This research found that the difference the measurement using ultrasonic sensor between ombrometer formula is sufficiently linear with the difference average at 32.63%. The lookup table method is implemented to linearize the measurement based on the ombrometer value method. By using the linearized value, the design is capable to measure light rain category because the design has the sensitivity/resolution measurement of rain gauge on 0.48 mm. This research also found that the average value of the measurement using the ultrasonic sensor for each measured volume water injected to the tank using this design and use this value as a trigger to send the actual measurement result to the users. All parameters from this system are sent using Wi-Fi connectivity to the server and can be monitored using Online Web Dashboard.
Unreal Engine Based MCS Program Using Microcontroller Wemos D1 Mini, MPU-9250 Sensor and UDP Protocol Simatupang, Frengki; Manalu, Istas Pratomo
Piston: Journal of Technical Engineering Vol. 8 No. 1 (2024)
Publisher : Program Studi Teknik Mesin Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/pjte.v8i1.40210

Abstract

The Motion Capture System (MCS) is a series of steps involving the capture, processing, and mapping of human, animal, or object movements into virtual characters. This process includes motion recording, data processing with computers, and mapping the results into digital models. This article discusses the use of MCS for realistically reconstructing and simulating behavior, which is valuable in various applications such as entertainment, animation, computer games, sports, and rehabilitation. MCS faces challenges in accurately capturing the diversity and complexity of body movements, requiring advanced hardware and software. Unreal Engine, a development platform known for its ability to produce high-quality graphics and realistic physics systems, is often used to integrate MCS. The MPU9250 sensor, a 9-axis inertial sensor combining an accelerometer, gyroscope, and magnetometer, is used in this project to detect linear motion, rotation, and orientation with high accuracy. This research aims to develop an MCS program based on Unreal Engine using the MPU9250 sensor and the UDP protocol, with the Wemos D1 Mini as the client module to process and transmit sensor data via Wi-Fi. This process involves collecting sensor data, transmitting data via UDP, and processing the data in Unreal Engine to control the movement of objects or characters. Sensor calibration is performed to obtain accurate reference values, and the collected data is used to calculate pitch, roll, and yaw values. This data is then sent to Unreal Engine to display animations corresponding to human movements. Testing shows that the generated movements align with those demonstrated, although there are minor acceptable errors. This research highlights the importance of combining sensor technology and software to produce an accurate and responsive motion control system, providing an interactive and realistic user experience.
Sistem Pengendalian dan Pemantauan Terpusat pada Perangkat IoT Terdistribusi Sinambela, Eka Stephani; Simatupang, Frengki; Wowiling, Gerry Italiano; Sigiro, Marojahan Mula Timbul; Manalu, Istas Pratomo; Silalahi, Sari Muthia; Siagian, Pandapotan
Piston: Journal of Technical Engineering Vol. 8 No. 1 (2024)
Publisher : Program Studi Teknik Mesin Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/pjte.v8i1.48473

Abstract

Perkembangan pesat Internet of Things (IoT) telah memungkinkan berbagai aplikasi cerdas; namun, pengelolaan banyak perangkat IoT yang tersebar secara manual masih kurang efisien dan memakan waktu. Penelitian ini bertujuan untuk mengembangkan sistem pemantauan dan pengendalian terpusat untuk perangkat IoT yang tersebar dengan menggunakan arsitektur master-agent. Master berfungsi sebagai pusat kendali yang mengumpulkan data dari berbagai agent serta memungkinkan manajemen terpusat melalui API Gateway yang memfasilitasi komunikasi dan kontrol perangkat. Prototipe yang dikembangkan terdiri dari dua mode kontrol: kontrol manual untuk menyalakan dan mematikan lampu melalui antarmuka berbasis web, serta kontrol otomatis untuk pemantauan lingkungan menggunakan berbagai sensor. Hasil pengujian menunjukkan bahwa sistem ini mampu mengelola perangkat IoT secara real-time dengan efektif. Pengujian kontrol manual berhasil mengaktifkan dan menonaktifkan lampu secara jarak jauh. Pengujian kontrol otomatis untuk pemantauan tanaman mencatat suhu lingkungan stabil antara 44–46°C, kelembaban tanah pada 27%, variasi jarak sensor ultrasonik antara 2–15 cm, serta fluktuasi intensitas cahaya antara 29–120 Cd. Hasil ini membuktikan bahwa sistem dapat merespons perubahan lingkungan secara dinamis, seperti mengaktifkan pompa air saat kelembaban tanah rendah atau menyesuaikan pencahayaan berdasarkan data real-time. Dengan menerapkan arsitektur RESTful API dan komunikasi berbasis JSON, sistem ini menawarkan skalabilitas tinggi dan fleksibilitas dalam pengembangan jaringan IoT. Penelitian ini menyimpulkan bahwa sistem pengendalian dan pemantauan IoT secara terpusat meningkatkan efisiensi, fleksibilitas, serta kemudahan dalam pengelolaan perangkat, sehingga dapat diterapkan dalam berbagai bidang seperti smart home, pertanian cerdas, dan otomatisasi industri.
Multihop Data Transmission Using LoRa Technology Manalu, Istas Pratomo; Sigiro, Marojahan Timbul Mula; Simatupang, Frengki; Manik, Andreas A. P.; Sitohang, Necia G. A.; Pardede, Goldi
Piston: Journal of Technical Engineering Vol. 8 No. 2 (2025)
Publisher : Program Studi Teknik Mesin Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/pjte.v8i2.48926

Abstract

The use of Long Range (LoRa) technology in Internet of Things (IoT) networks has grown rapidly to support applications that require wide coverage with low energy consumption. However, physical obstacles and indoor use often cause significant signal attenuation, reducing range and increasing energy consumption. To overcome these limitations, this study implements multihop communication using LoRa repeaters to extend network coverage. In this study, DHT11 sensors are used to measure air temperature and humidity, with data transmitted through a multihop scheme consisting of three LoRa devices: transmitter, repeater, and receiver. The purpose of this study is to analyze the performance of LoRa communication in a multihop scheme, focusing on measuring key parameters such as Received Signal Strength Indicator (RSSI), Signal-to-Noise Ratio (SNR), and Packet Loss. Point-to-point experiments showed that the RSSI was in the range of -103 dBm to -105.5 dBm, while in multihop, the recorded RSSI ranged from -102 dBm to -105 dBm. Meanwhile, the SNR in point-to-point ranged from -2 dB to -22 dB, and in multihop, the SNR value varied from -1.00 dB to -14.50 dB. At a distance of 1.5 kilometers, the point-to-point method suffers from a high packet loss of 65%, with only 23 out of 67 packets received, indicating inadequate performance. In contrast, the multihop method successfully reduces the packet loss to only 0.8%, with 33 out of 36 packets received, indicating improved data transmission quality and reliability. Tests show that the use of LoRa repeaters in multihop networks can significantly extend communication range and improve energy efficiency, with successful data delivery and performance that meets expectations. This research makes an important contribution to understanding the implementation of multihop LoRa networks, especially in the context of IoT applications that require wide coverage in congested environments.
Design of Handoff Communication Sequence Architecture in LoRa Networks Manalu, Istas Pratomo; Simatupang, Frengki; Sinambela, Eka Stephani; Sigiro, Marojohan Mula Timbul; Wowiling, Gerry Italiano; Silalahi, Sari Muthia
Piston: Journal of Technical Engineering Vol. 9 No. 1 (2025)
Publisher : Program Studi Teknik Mesin Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/pjte.v9i1.51408

Abstract

Technological advances have driven the development of IoT-based object tracking systems, where LoRa is an ideal wireless technology due to its long range and low power consumption. Challenges in implementing LoRaWAN, particularly its role in the handoff process between gateways that can disrupt communication, can be overcome by developing a more efficient handoff method. For this reason, this study presents the design of Handoff communication for the LoRa Network. We use two gateways and one transmitter node. The gateway node consists of a LoRa module and an ESP32, while the Transmitter consists of a LoRa module, an Arduino Nano, and a GPS sensor. The RSSI parameter is a determining factor in transferring connectivity paths from GW A or GW B, as it provides an RSSI threshold value of -100 dBm. We successfully designed handoff communication at each Node and conducted a mini-test. The test results show that LoRa can implement handoff techniques at a distance of 0-500 meters. This indicates that the node is in closer range to GW A. The RSSI value of GW1 is in the range of -52 dBm to -98 dBm, while the RSSI of GW2 is in a much weaker range, which is around -120 dBm to -100 dBm. As the distance increases, the RSSI value of GW1 shows a significant decrease, while the RSSI of GW B actually increases. At a distance of approximately 250 meters, there is an intersection point between the RSSI values of the two gateways, marking the optimal handoff point. Thus, this system is able to select the best gateway, provide redundancy, check gateway availability before handoff, and handle handoff failures, thereby improving the efficiency and effectiveness of data delivery.
A Web-Based Navigation Control System for Lake Toba Cleaning Using NodeMCU ESP8266 and Pulse Width Modulation (PWM) Simatupang, Frengki; Manalu, Istas Pratomo; Siagian, Pandapotan; Sigiro, Marojahan Mula Timbul; Wowiling, Gerry Italiano; Sinambela, Eka Stephani; Saragih, Ripandy; Yosheva, Grace; Silaen, Romaito
Piston: Journal of Technical Engineering Vol. 9 No. 1 (2025)
Publisher : Program Studi Teknik Mesin Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/pjte.v9i1.51670

Abstract

Waste pollution in Lake Toba has become a critical environmental issue, threatening both its natural beauty and ecological sustainability. Manual waste collection methods remain limited in terms of efficiency and operational reach. This study aims to design and evaluate a web-based navigation control system for a floating surface-cleaning device utilizing the NodeMCU ESP8266 microcontroller. The system enables real-time control of direction and motor speed through a web interface, employing Pulse Width Modulation (PWM) for precise speed regulation. A prototype-based engineering approach was adopted, encompassing system design, implementation, and performance testing on land and in water environments. The experimental results indicate that the system successfully responded to all navigation commands (forward, backward, turn, pivot, and stop) with 100% accuracy under a stable local Wi-Fi network. Motor performance in water was found to be approximately 15–20% lower than on land due to fluid resistance. Battery endurance tests showed an operational time of approximately 3 hours on land and 2.1 hours in water at a 60% PWM duty cycle. Overall, the system demonstrates effective and flexible performance and holds promise for further development through the integration of sensors, camera modules, GPS-based autonomous navigation, and LoRa communication.