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All Journal Jurnal Agronomi Tanaman Tropika (JUATIKA) Building of Informatics, Technology and Science Journal of Computer System and Informatics (JoSYC) Tabela Jurnal Pertanian Berkelanjutan
Nurhayati Nurhayati
Universitas Islam Sumatera Utara, Medan
Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Industrial & Manufacturing Engineering

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Pemetaan Produksi Tanaman Tomat di Indonesia Berdasarkan Provinsi Menggunakan Algoritma K-Means Clustering Syaifuddin Syaifuddin; Ramlah Ramlah; Irma Hakim; Yunida Berliana; Nurhayati Nurhayati
Journal of Computer System and Informatics (JoSYC) Vol 3 No 4 (2022): August 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v3i4.2206

Abstract

Tomato is one of the essential horticultural commodity vegetables because it has high economic value. The need for this plant continues to increase along with the increase in population, income levels, and heightened public awareness of the importance of nutritional value. Therefore, this research aims to see and map the production of tomato plants in Indonesia by the province in the form of clusters (grouping). The research data used in this paper is data on tomato production in Indonesia by the province in the last five years (2017-2021) obtained from the District/City Agriculture Service of each province and the Indonesian Central Statistics Agency. The algorithm proposed in this study is K-Means Clustering with the help of RapidMiner. The results of the proposed paper are grouping and mapping of tomato production in Indonesia, which is divided into 5 (five) zones, including the Black Zone (areas with very high tomato production), which consists of 1 province, Green Zone (areas with high production of tomatoes). Which consists of 2 provinces, the Blue Zone (areas with moderate production), which consists of 4 provinces. The Light Blue Zone (areas with low production), which consists of 8 provinces, and the Orange Zone (areas with moderately low production), which consists of 18 provinces.
Implementasi Algoritma Resilient untuk Prediksi Potensi Produksi Bawang Merah di Indonesia Nurhayati Nurhayati; Mhd. Buhari Sibuea; Dedi Kusbiantoro; Martina Silaban; Anjar Wanto
Building of Informatics, Technology and Science (BITS) Vol 4 No 2 (2022): September 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i2.2269

Abstract

Shallots are seasonal horticultural crops with high economic value. They are one of the horticultural commodities prioritized by the Director General of Horticulture and the Ministry of Agriculture in their development and handling. Therefore, it is necessary to predict the potential of shallot production in Indonesia so that the government has benchmarks and information in determining the right economic policy so that shallot production can continue to be increased or at least be unstable every year. In this study, the prediction algorithm used is the Resilient algorithm. The research data used are shallot production data obtained from the Indonesian Central Statistics Agency. This research will be analyzed using four network architecture models: 6-5-1, 6-10-1, 6-17-1 and 6-29-1. Based on the analysis of the four models used, the results show that the 6-17-1 model is the best because it has a lower Mean Square Error (MSE) value than the other three models, which is 0.0337792, and the accuracy level is quite good. Of 79% with an error rate of 0.04 used. This architectural model will be used to predict the potential for shallot production in Indonesia. Based on the overall prediction results from each province, the potential for Indonesian shallot production at the end of 2022 tends to decrease compared to 2021. The conclusion can be drawn that the application of the Resilient algorithm to the problem of red onion production data in Indonesia is quite good, but the accuracy is not too high, so a more profound study is needed
Tolerance of Upland Rice Genotypes from Deli Serdang North Sumatra to Drought Stress Condition Noverina Chaniago Chaniago; Rahmad Setia Budi; Nurhayati Nurhayati; Indra Gunawan Gunawan
JURNAL AGRONOMI TANAMAN TROPIKA (JUATIKA) Vol 5 No 1 (2023): Vol 5 No 1 (2023): Jurnal Agronomi Tanaman Tropika (JUATIKA)
Publisher : LPPM UNIVERSITAS ISLAM KUANTAN SINGINGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/juatika.v5i1.2838

Abstract

Drought is the main problem that is often faced in upland rice cultivation in the dry land. Therefore, drought-tolerant rice varieties are needed, but until now, the number is very limited. It is crucial to produce drought-tolerant rice because Indonesia has a relatively sizeable dry land of 148 million ha. This study aimed to obtain a genotype of upland rice that is tolerant to drought with high productivity and can be developed in the dry land. This research was then continued with drought tolerance testing by giving water below field capacity in a greenhouse. This study was in a factorial form using a Split Plot Design, with the main plot of drought stress treatment consisting of tree levels, namely water availability field capacity water, field capacity water, and field capacity water. The sub-plots were four genotypes of upland rice from Deli Serdang North Sumatra consisting of Sialus, Arias, Silayur, Sirabut and one drought-tolerant variety for comparison is Inpago11. The observed variables included plant height, chlorophyll content, number of tillers, number of productive tillers, age of flowering, harvest period, grain weight per clump, and weight of 100 grains. The heaviest drought stress (FCW) caused a significant decrease in plant height, number of tillers per clump, number of productive tillers, and grain weight per clump and extended the flowering and harvesting ages. Based on the tolerance index criteria, it was found that the Silayur genotype was more tolerant to drought stress than the other upland rice genotypes.
Proses Fisiologis Pembentukan Protein Kedelai pada Kondisi Tanaman Mengalami Cekaman Kekeringan Desti Kurniawan Gulo; Nurhayati Nurhayati
Tabela Jurnal Pertanian Berkelanjutan Vol. 1 No. 1 (2023): Edisi Januari
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (166.093 KB) | DOI: 10.56211/tabela.v1i1.167

Abstract

Cekaman kekeringan merupakan kondisi lingkungan dimana tanaman tidak menerima asupan air yang cukup, sehingga tanaman tidak dapat melakukan proses pertumbuhan dan perkembangan secara optimal serta produksi menurun. Cekaman kekeringan adalah masalah utama pada hasil produksi tanaman di seluruh dunia. Hal tersebut juga dapat memicu terjadinya cekaman oksidatif yakni suatu keadaan lingkungan yang mengalami peningkatan Reactive Oxygen Spesies (ROS) akibat adanya suatu over reduksi dari proses fotosintesis. Peningkatan ROS yang bersifat radikal bebas dapat menyebabkan ketidakseimbangan antara ROS tersebut dan status antioksidan yang ada di dalam tanaman. Tanaman yang toleran terhadap cekaman seperti tanaman kedelai beradaptasi dengan cara memproduksi senyawa-senyawa yang bersifat antioksidan.
Co-Authors Budi, Rahmad Setia Dedi Kusbiantoro Desti Kurniawan Gulo Indra Gunawan Gunawan Irma Hakim Martina Silaban Mhd.Buhari Sibuea Noverina Chaniago Chaniago Ramlah Ramlah Syaifuddin Syaifuddin Wanto, Anjar Yunida Berliana