Prototype of Automatic Water Sprayer Based on Humidity Sensor and ATmega8 AVR Microcontroller in Oil Palm Nurseries

Penulis

  • Marcelo Salas Sihombing STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
  • Suhada Suhada STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
  • Ika Purnama Sari STIKOM Tunas Bangsa, Pematangsiantar, Indonesia

DOI:

https://doi.org/10.55123/jomlai.v1i2.934

Kata Kunci:

Prototype, Water Spray, Automatic, ATmega8 AVR, Palm Nursery

Abstrak

Oil palm nurseries are currently experiencing very rapid development, but the watering process at the oil palm nursery stage itself is still done manually so that it is less efficient in the watering process. To overcome these problems, in this study an automatic system was created using the AVRATmega8 microcontroller as the main controller of the system. With the variable humidity of the planting media as a timer for watering, a prototype water sprayer is made that can do watering automatically. The prototype of this automatic water sprayer is equipped with a soil moisture sensor which is used to read the moisture value of the oil palm growing media as well as functioning as a system input, LCD as a medium for monitoring system performance, and a relay that functions to turn on and off the water pump connected to the installation of the planting media watering pipe. . Watering of oil palm seedlings is carried out when the soil moisture sensor detects that the moisture value in the planting media has been below the lower limit of the working system and stops watering when the sensor readings indicate that the humidity value of the planting medium is above the upper limit of the working system.

Referensi

A. Wanto and E. Kurniawan, “Seleksi Penerimaan Asisten Laboratorium Menggunakan Algoritma AHP Pada AMIK-STIKOM Tunas Bangsa Pematangsiantar,” Jurnal Informatika dan Komputer (JIKO), vol. 3, no. 1, pp. 11–18, 2018.

V. V. Sianipar, A. Wanto, and M. Safii, “Decision Support System for Determination of Village Fund Allocation Using AHP Method,” The IJICS (International Journal of Informatics and Computer Science) ISSN, vol. 4, no. 1, pp. 20–28, 2020.

P. P. P. A. N. . F. I. R.H Zer, Masitha, A. P. Windarto, and A. Wanto, “Analysis of the ELECTRE Method on the Selection of Student Creativity Program Proposals,” Journal of Physics: Conference Series, vol. 1255, no. 1, pp. 1–6, Aug. 2019.

D. M. Sinaga, R. R, R. Alfah, A. P. Windarto, and A. Wanto, “Jurnal Sains dan Informatika,” Jurnal Sains dan Informatika, vol. 5, no. 2, pp. 129–135, 2018.

D. R. Sari, N. Rofiqo, D. Hartama, A. P. Windarto, and A. Wanto, “Analysis of the Factors Causing Lazy Students to Study Using the ELECTRE II Algorithm,” Journal of Physics: Conference Series, vol. 1255, no. 1, p. 012007, Aug. 2019.

T. Imandasari, A. Wanto, and A. P. Windarto, “Analisis Pengambilan Keputusan Dalam Menentukan Mahasiswa PKL Menggunakan Metode PROMETHEE,” Jurnal Riset Komputer (JURIKOM), vol. 5, no. 3, pp. 234–239, 2018.

R. Watrianthos, W. A. Ritonga, A. Rengganis, A. Wanto, and M. Isa Indrawan, “Implementation of PROMETHEE-GAIA Method for Lecturer Performance Evaluation,” Journal of Physics: Conference Series, vol. 1933, no. 1, p. 012067, 2021.

G. W. Bhawika et al., “Implementation of ANN for Predicting the Percentage of Illiteracy in Indonesia by Age Group,” Journal of Physics: Conference Series, vol. 1255, no. 1, pp. 1–6, 2019.

A. Wanto et al., “Analysis of the Backpropagation Algorithm in Viewing Import Value Development Levels Based on Main Country of Origin,” Journal of Physics: Conference Series, vol. 1255, no. 1, pp. 1–6, 2019.

E. Siregar, H. Mawengkang, E. B. Nababan, and A. Wanto, “Analysis of Backpropagation Method with Sigmoid Bipolar and Linear Function in Prediction of Population Growth,” Journal of Physics: Conference Series, vol. 1255, no. 1, pp. 1–6, 2019.

M. K. Z. Sormin, P. Sihombing, A. Amalia, A. Wanto, D. Hartama, and D. M. Chan, “Predictions of World Population Life Expectancy Using Cyclical Order Weight / Bias,” Journal of Physics: Conference Series, vol. 1255, no. 1, pp. 1–6, 2019.

A. Wanto et al., “Analysis of the Accuracy Batch Training Method in Viewing Indonesian Fisheries Cultivation Company Development,” Journal of Physics: Conference Series, vol. 1255, no. 1, pp. 1–6, 2019.

Y. Andriani, H. Silitonga, and A. Wanto, “Analisis Jaringan Syaraf Tiruan untuk prediksi volume ekspor dan impor migas di Indonesia,” Register: Jurnal Ilmiah Teknologi Sistem Informasi, vol. 4, no. 1, pp. 30–40, 2018.

W. Saputra, J. T. Hardinata, and A. Wanto, “Implementation of Resilient Methods to Predict Open Unemployment in Indonesia According to Higher Education Completed,” JITE (Journal of Informatics and Telecommunication Engineering), vol. 3, no. 1, pp. 163–174, 2019.

N. L. W. S. R. Ginantra et al., “Performance One-step secant Training Method for Forecasting Cases,” Journal of Physics: Conference Series, vol. 1933, no. 1, pp. 1–8, 2021.

N. Arminarahmah, A. D. GS, G. W. Bhawika, M. P. Dewi, and A. Wanto, “Mapping the Spread of Covid-19 in Asia Using Data Mining X-Means Algorithms,” IOP Conf. Series: Materials Science and Engineering, vol. 1071, no. 1, p. 012018, 2021.

A. Pradipta, D. Hartama, A. Wanto, S. Saifullah, and J. Jalaluddin, “The Application of Data Mining in Determining Timely Graduation Using the C45 Algorithm,” IJISTECH (International Journal of Information System & Technology), vol. 3, no. 1, pp. 31–36, 2019.

T. H. Sinaga, A. Wanto, I. Gunawan, S. Sumarno, and Z. M. Nasution, “Implementation of Data Mining Using C4.5 Algorithm on Customer Satisfaction in Tirta Lihou PDAM,” Journal of Computer Networks, Architecture, and High-Performance Computing, vol. 3, no. 1, pp. 9–20, 2021.

N. A. Febriyati, A. D. GS, and A. Wanto, “GRDP Growth Rate Clustering in Surabaya City uses the K- Means Algorithm,” International Journal of Information System & Technology, vol. 3, no. 2, pp. 276–283, 2020.

J. Hutagalung, N. L. W. S. R. Ginantra, G. W. Bhawika, W. G. S. Parwita, A. Wanto, and P. D. Panjaitan, “COVID-19 Cases and Deaths in Southeast Asia Clustering using K-Means Algorithm,” Journal of Physics: Conference Series, vol. 1783, no. 1, p. 012027, 2021.

I. Parlina et al., “Naive Bayes Algorithm Analysis to Determine the Percentage Level of visitors the Most Dominant Zoo Visit by Age Category,” in Journal of Physics: Conference Series, 2019, vol. 1255, no. 1, p. 012031.

M. A. Hanafiah and A. Wanto, “Implementation of Data Mining Algorithms for Grouping Poverty Lines by District/City in North Sumatra,” International Journal of Information System & Technology, vol. 3, no. 2, pp. 315–322, 2020.

I. S. Damanik, A. P. Windarto, A. Wanto, Poningsih, S. R. Andani, and W. Saputra, “Decision Tree Optimization in C4.5 Algorithm Using Genetic Algorithm,” Journal of Physics: Conference Series, vol. 1255, no. 1, pp. 1–7, 2019.

A. Wanto et al., Data Mining : Algoritma dan Implementasi. Yayasan Kita Menulis, 2020.

D. Hartama, A. Perdana Windarto, and A. Wanto, “The Application of Data Mining in Determining Patterns of Interest of High School Graduates,” Journal of Physics: Conference Series, vol. 1339, no. 1, p. 012042, Dec. 2019.

V. V. R. Repi and F. Hidayanti, “Perancangan Sistem Pengukuran dan Monitoring Pemakaian Air Rumah PDAM Berbasis SMS ( Short Message Service ),” vol. 19, no. November, pp. 53–60, 2016.

Ahmad Yanie, Y. Ananda, and L. A. Siregar, “Rancang Bangun Peralatan Deteksi Panas Kabel Pada Panel Listrik Untuk Mengatasi Beban Lebih,” Journal of Electrical Technology, vol. 6, no. 2, pp. 51–57, 2021.

S. Parulian, T. Pangaribuan, and A. Simamora, “Implementasi Kontrol Lup Tertutup Multi Point Pada Pengatur Temperatur Oven Panggangan Roti,” Electric Power, Telecommunications & Control System, vol. 4, no. 1, pp. 38–45, 2021.

I. D. Putri and S. Sukardi, “Rancang Bangun Alat Penyiram Tanaman Hias Otomatis Berdasarkan Kelembaban Berbasis Mikrokontroler,” JTEIN: Jurnal Teknik Elektro Indonesia, vol. 3, no. 1, pp. 74–83, 2022.

V. A. Rahardjo and D. Setiyadi, “Implementasi Sensor Pengukur Kelembapan Tanah Dan Penyiraman Otomatis Serta Monitoring Pada Kebun Tanaman Cabai Rawit,” Aisyah Journal of Informatics and Electrical Engineering, vol. 3, no. 2, pp. 106–115, 2021.

Unduhan

Diterbitkan

2022-09-26

Cara Mengutip

Sihombing, M. S., Suhada, S., & Sari, I. P. (2022). Prototype of Automatic Water Sprayer Based on Humidity Sensor and ATmega8 AVR Microcontroller in Oil Palm Nurseries. JOMLAI: Journal of Machine Learning and Artificial Intelligence, 1(2), 159–166. https://doi.org/10.55123/jomlai.v1i2.934

Terbitan

Vol 1 No 2 (2022): June

Bagian

Articles

Lisensi

Hak Cipta (c) 2022 Marcelo Salas Sihombing, Suhada Suhada, Ika Purnama Sari

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