Effectiveness of tomato plant growth with drip irrigation techniques in drylands

Ida Wahyuni, Suwati Suwati, Adi Gunawan

Abstract


Dry land with low rainfall results in minimal availability of irrigation water. However, the lack of irrigation water is not an obstacle in cultivation if the right, effective and efficient irrigation method is applied, namely drip irrigation. This study aims to see the effect of applying drip irrigation techniques with different water discharge treatments on tomato plant growth. This research was conducted in Batu Putik Village, East Lombok Regency from August 12, 2020 to September 20, 2020. This research method uses experimental methods by conducting direct experiments in the field. This study used a Completely Randomized Design (CRD) with 3 treatments 4 times repeated so that 12 experimental units were obtained. Each treatment was P1 with a 90° tap slope discharge, P2 with a 45° tap slope discharge, and P3 with a 15° tap slope discharge. The research data were analyzed using ANOVA. The results of the drip irrigation technique design performance test showed an average uniformity coefficient percentage of 94% in all treatments. The results of this test provide an insignificant effect on plant height, stem diameter, and number of leaves of tomato plants. So this insignificant result shows that the application in the field in relation to water efficiency should use P1 with less water distribution but gives the same effect as P2, and P3 on tomato plant growth. While in wet and dry stems, there is a significant effect between treatments.

Keywords


coefficient of uniformity; drip irrigation; tomato plant growth

References


Cahyono, T. (2015). Buku Statistik Uji Normalitas. In Yayasan Sanitarian Banyumas, Banyumas, Indonesia.

Dhaniswara, T. K., & Fitri, M. A. (2017). Pengaruh Perlakuan Awal Sampah Organik Terhadap produksi Biogas Secara Anaerobic Digestion. Journal of Research and Technology.

Draper, N., & Smith, H. (1981). Applied regression analysis, second edition. In Wiley series in probability and mathematical statistics.

Hasim, H., Laome, L., & ... (2020). Regresi Ridge dalam Mengatasi Multikolinearitas pada Kasus Indeks Pembangunan Manusia. E-Journal ….

Irawan, D., & Khudori, A. (2015). PENGARUH SUHU ANAEROBIK TERHADAP HASIL BIOGAS MENGGUNAKAN BAHAN BAKU LIMBAH KOLAM IKAN GURAME. Turbo : Jurnal Program Studi Teknik Mesin. https://doi.org/10.24127/trb.v4i1.3

Padilah, T. N., & Adam, R. I. (2019). ANALISIS REGRESI LINIER BERGANDA DALAM ESTIMASI PRODUKTIVITAS TANAMAN PADI DI KABUPATEN KARAWANG. FIBONACCI: Jurnal Pendidikan Matematika Dan Matematika. https://doi.org/10.24853/fbc.5.2.117-128

Padmawati, I. R., & Fachrurrozie. (2015). Pengaruh mekanisme good corporate governance dan kualitas audit terhadap tingkat konservatisme akuntansi. Accounting Analysis Journal.

Reza, M., Putra, S., Prasetyo, E., Ekonomi, F., Akuntansi, P., & Kahuripan, U. (2020). Analisis Kualitas Sistem Informasi Akuntansi, Perceived UsefulnessTerhadap Kepuasan Pengguna Pada Tanaya Realtydi Kota Sidoarjo. Jurnal Ekonomi Bisnis.

Rezeki, S., Ivontianti, W. D., & Khairullah, A. (2021). Optimasi Temperatur Pada Produksi Biogas dari Limbah Rumah Makan di Kota Pontianak. Jurnal Engine: Energi, Manufaktur, Dan Material. https://doi.org/10.30588/jeemm.v5i1.850

Rutledge, D. N., & Barros, A. S. (2002). Durbin-Watson statistic as a morphological estimator of information content. Analytica Chimica Acta. https://doi.org/10.1016/S0003-2670(01)01555-0

Tampubolon, B. I., Fauzi, A., & Ekayani, M. (2016). INTERNALISASI BIAYA EKSTERNAL SERTA ANALISIS KEBIJAKAN PENGEMBANGAN ENERGI PANAS BUMI SEBAGAI ENERGI ALTERNATIF. RISALAH KEBIJAKAN PERTANIAN DAN LINGKUNGAN: Rumusan Kajian Strategis Bidang Pertanian Dan Lingkungan. https://doi.org/10.20957/jkebijakan.v2i2.10966

Tri Subhi, K., & Al Azkiya, A. (2022). Comparison of Cochrane-Orcutt and Hildreth-Lu Methods to Overcome Autocorrelation in Time Series Regression (Case Study of Gorontalo Province HDI 2010-2021). Parameter: Journal of Statistics. https://doi.org/10.22487/27765660.2022.v2.i2.15913

Uyanık, G. K., & Güler, N. (2013). A Study on Multiple Linear Regression Analysis. Procedia - Social and Behavioral Sciences. https://doi.org/10.1016/j.sbspro.2013.12.027

Wati, S. E., Sebayang, D., & Sitepu, R. (2013). Perbandingan Metode Fuzzzy Dengan Regresi LInier Berganda Dalam Peramlan Jumlah Produksi. Saintia Matematika.

Wiśniewska, M., Kulig, A., & Lelicińska-Serafin, K. (2020). Odour emissions of municipal waste biogas plants-impact of technological factors, air temperature and humidity. Applied Sciences (Switzerland). https://doi.org/10.3390/app10031093

Yahya, Y., Tamrin, T., & Triyono, S. (2018). PRODUKSI BIOGAS DARI CAMPURAN KOTORAN AYAM, KOTORAN SAPI, DAN RUMPUT GAJAH MINI (Pennisetum Purpureum cv. Mott) DENGAN SISTEM BATCH. Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering). https://doi.org/10.23960/jtep-l.v6i3.151-160

Zaki, A., & Santoso, H. A. (2016). Model Fuzzy Tsukamoto untuk Klasifikasi dalam Prediksi Krisis Energi di Indonesia. Creative Information Technology Journal. https://doi.org/10.24076/citec.2016v3i3.76




DOI: https://doi.org/10.31764/jau.v10i3.16547

Refbacks

  • There are currently no refbacks.


Copyright (c) 2023 Wahyuni, Suwati, & Gunawan

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

 

 

   

 


Alamat Kantor