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Automation and Monitoring for Aquaponic System Based on NodeMcu Ahmad Zatnika Purwalaksana; Indra Hartarto Tambunan; Andi Ray Hutauruk
Piston: Journal of Technical Engineering Vol 5, No 2 (2022)
Publisher : Prodi Teknik Mesin

The increase in the human population, which continues to increase accompanied by the rate of conversion of agricultural land to non-agricultural land is increasingly causing a problem of food supply. Aquaponics is one solution to this problem, but conventional aquaponics treatment must be done manually and will require a lot of time and energy in caring for it if the land is large enough. The implementation of IoT technology can help in the aquaponics treatment. This research aims to create a control and monitoring system for aquaponic cultivation built in a greenhouse. The parameter to be controlled is the water level of the fish pond using an ultrasonic hc-sr04 sensor and a solenoid valve which functions to fill the water in the pond. While the parameters to be monitored are the water level and the pH of the fish pond water. Data from the sensor is sent using the HTTP protocol by the NodeMcu microcontroller to the database via the internet network. The results of this research indicate that the control system has been successfully created where the solenoid valve will turn on when the distance between the ultrasonic sensor and the pool water level is more than 50 cm. The results of water measurements are still fluctuating due to placement of ultrasonic sensors under the water pipe to the fish pond. Meanwhile, the monitoring system will present measurement data in the form of graphs where the data will be updated every 30 minutes.

Automation and Monitoring for Aquaponic System Based on NodeMcu Ahmad Zatnika Purwalaksana; Indra Hartarto Tambunan; Andi Ray Hutauruk
Piston: Journal of Technical Engineering Vol 5, No 2 (2022)
Publisher : Prodi Teknik Mesin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/pjte.v5i2.19482

The increase in the human population, which continues to increase accompanied by the rate of conversion of agricultural land to non-agricultural land is increasingly causing a problem of food supply. Aquaponics is one solution to this problem, but conventional aquaponics treatment must be done manually and will require a lot of time and energy in caring for it if the land is large enough. The implementation of IoT technology can help in the aquaponics treatment. This research aims to create a control and monitoring system for aquaponic cultivation built in a greenhouse. The parameter to be controlled is the water level of the fish pond using an ultrasonic hc-sr04 sensor and a solenoid valve which functions to fill the water in the pond. While the parameters to be monitored are the water level and the pH of the fish pond water. Data from the sensor is sent using the HTTP protocol by the NodeMcu microcontroller to the database via the internet network. The results of this research indicate that the control system has been successfully created where the solenoid valve will turn on when the distance between the ultrasonic sensor and the pool water level is more than 50 cm. The results of water measurements are still fluctuating due to placement of ultrasonic sensors under the water pipe to the fish pond. Meanwhile, the monitoring system will present measurement data in the form of graphs where the data will be updated every 30 minutes.

PELATIHAN MICROSOFT OFFICE DI SMK N 2 BALIGE Susanti Samosir, Hernawati; Hutapea, Oppir; Manurung, Philippians; Ray Hutauruk, Andi; Sinambela, Amsal; Partumpoan Siahaan, Kevin; Sinaga, Hasan; Albi Pulo S, Samuel; Tomfie Bukit, Kenan; Panjaitan, Claudia
J-Dinamika : Jurnal Pengabdian Masyarakat Vol 9 No 3 (2024): Desember
Publisher : Politeknik Negeri Jember

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Basic Ms Office knowledge is one of the most general and commonly used in industry or companies from the lowest level to the hight type of industry. However, in Toba area itself, mentioned as SMK N 2 Balige which located in Balige, North Sumatra which all students do not familiar with Ms Office usage. There are no special subjects that can support other subjects according to the major, namely basic Microsoft Office science. As mentioned by the headmaster of SMK N 2 Balige that the graduations are only 30 person(10%) got accepted in industry every year. Seeing this issue, IT Del has a responsibility to increased student performance which will be accepted in industry during the graduation timeline every year. IT Del as an educational institution operating in the field of technology can of course provide assistance in the form of training that will help these students to have the skills of Ms. Offices that are needed in the industrial company. The training carried out at the school is Ms Word, Ms Excel, Ms Power Point. Each is given a module that describes the real work in the industrial world so that students are expected to be able to adapt to the learning modules provided. These three materials are taught in parallel and alternately so that all students have the opportunity to discuss the training module as a whole. The assessment technique is seen from the student's speed in working on the example questions given and being able to solve them well and correctly. The average ability of students in working on Ms Word questions is 59.33, Ms Excel 75.78 and Ms Power Point 76.44. In this training, 3 students were obtained with the highest scores from all students, namely 270, 265 and 260. From the results of the training carried out, it can be seen that the students of SMK N 2 Balige were enthusiastic in participating in Ms. Office.

Kendali Otomatis Tingkat Ketinggian Air Dan Nutrisi Pada Hidroponik Menggunakan Metode Finite State Machine Hutauruk, Andi Ray
Jurnal Informatika dan Teknik Elektro Terapan Vol 13, No 1 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i1.6044

Hidroponik menjadi solusi inovatif dalam menghadapi tantangan keterbatasan lahan untuk bercocok tanam di daerah perkotaan. Penelitian ini bertujuan mengembangkan sistem kendali otomatis berbasis Arduino Uno dengan pendekatan Finite State Machine (FSM) untuk mengelola ketinggian air dan kepekatan nutrisi dalam sistem hidroponik rakit apung. Sistem dirancang menggunakan sensor ultrasonik untuk memantau ketinggian air dan sensor TDS untuk mengukur konsentrasi nutrisi. Data yang diperoleh digunakan oleh FSM untuk mengatur pompa air dan pompa nutrisi secara otomatis. Prototipe sistem terdiri dari wadah hidroponik, pompa, sensor, dan mikrokontroler yang saling terhubung melalui relay. Hasil pengujian menunjukkan bahwa sistem mampu berfungsi sesuai desain, yakni mengaktifkan atau mematikan pompa berdasarkan kondisi ketinggian air dan tingkat kepekatan nutrisi. Sistem ini mempermudah petani dalam mengelola kebutuhan tanaman tanpa memerlukan pengawasan intensif, meningkatkan efisiensi perawatan, serta memastikan kondisi optimal bagi tanaman hidroponik sepanjang waktu. Kesimpulannya, sistem kendali otomatis ini memberikan kontribusi signifikan dalam meningkatkan efisiensi dan efektivitas bercocok tanam hidroponik, terutama di ruang terbatas.

Pelatihan Inovasi Bidang Pertanian dengan Pemanfaatan Teknologi IoT di SMK Negeri 1 Sigumpar: Agricultural Innovation Training through the Utilization of IoT Technology at SMK Negeri 1 Sigumpar Hutauruk, Andi Ray; Tambunan, Indra Hartarto; Manurung, Philippians; Cornellius Sidabutar, Febrian; Partumpoan Siahaan, Kevin; Gratias Panggabean, Aldi; Pakpahan, Irwan; ButarButar, Vulcan
J-Dinamika : Jurnal Pengabdian Masyarakat Vol 10 No 1 (2025): April
Publisher : Politeknik Negeri Jember

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Pelatihan inovasi bidang pertanian dengan pemanfaatan teknologi Internet of Things (IoT) telah dilaksanakan di SMK Negeri 1 Sigumpar untuk menjawab tantangan adopsi teknologi modern dalam pendidikan kejuruan. Kegiatan ini bertujuan untuk meningkatkan pemahaman dan keterampilan siswa serta staf pengajar dalam mengimplementasikan IoT, khususnya pada sistem hidroponik otomatis. Metode pelaksanaan meliputi penyuluhan, pelatihan praktis, dan pembangunan sistem hidroponik berbasis IoT yang dilengkapi beberapa sensor sebagai penerima inputan real time terhadap beberapa parameter, seperti suhu, kelembaban, pH dan menggunakan aktuator motor untuk memompa dan mengalirkan air serta larutan nutrisi ke dalam sistem hidroponik. Dalam percobaan yang dilakukan, para siswa mampu menggunakan perangkat IoT untuk memonitor parameter-parameter tersebut dan memonitornya melalui platform Thingspeak. Sistem hidroponik berbasis IoT yang dibangun juga berhasil diintegrasikan sebagai alat pembelajaran interaktif di SMK. Program ini tidak hanya memberikan manfaat edukatif, tetapi juga mendukung pengembangan kurikulum berbasis teknologi. Keberhasilan pelatihan ini menunjukkan potensi besar penerapan IoT untuk meningkatkan efisiensi dan kualitas pendidikan di tingkat kejuruan, terlebih dalam membuka peluang yang cukup krusial dalam menghasilkan tenaga kerja yang kompeten dengan memahami bagaimana perangkat IoT saling terintegrasi.

Smart Rice Disease Detection Based on Leaf Analysis Using the YOLO Algorithm with an Interactive User Interface Hutauruk, Andi Ray; Simatupang, Frengki; Manurung, Philippians
Jurnal Sistem Cerdas Vol. 8 No. 2 (2025): August
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v8i2.519

Rice is an important commodity for human life. The application of appropriate technology continues to be developed and researched as an effort to create food security. Indonesia is one of the largest rice producers but has not fully implemented agricultural technology. The lack of application of technology causes agricultural techniques to be still traditional. This causes the younger generation to be less interested in working as farmers. One of the challenges for novice farmers is how to handle plant diseases. This study aims to design a disease detection system so that it can be easier to handle. This plant detection uses a deep learning method with the YOLO V5 Algorithm. To obtain the best model, each YOLO V5 version was compared. The experimental results showed that the detection of healthy plants could be predicted better (0.99) than the other classes. Based on the predicted value, it means that the extra-large version is better (0.83) than the other versions. In addition, this study also designed the user interface with website application media. This website can be accessed via a laptop or smartphone so that its use is more effective and efficient. The user interface design is designed simply so that farmers and novices can easily learn and use it. With this research, it is hoped that rice production can be increased and one way to attract the interest of the younger generation.

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