Deteksi Pola Sebaran Penyakit Virus Kuning pada Tanaman Cabai Rawit Berbasis Analisis Geostatistika

Authors

  • Nabila Alysia Multazam Agrotechnology Study Program, Agriculture Faculty, Universitas Pembangunan Nasional Veteran, Jawa Timur, Indonesia, Indonesia
  • Herry Nirwanto Agrotechnology Study Program, Agriculture Faculty, Universitas Pembangunan Nasional Veteran, Jawa Timur, Indonesia, Indonesia
  • Sri Wiyatiningsih Agrotechnology Study Program, Agriculture Faculty, Universitas Pembangunan Nasional Veteran, Jawa Timur, Indonesia, Indonesia

DOI:

https://doi.org/10.37637/ab.v6i2.1202

Keywords:

analisis geostatistika, cabai rawit, virus kuning

Abstract

Cabai rawit (Capsicum frutescens L.) merupakan komoditas yang memiliki nilai ekonomis tinggi dan dapat mempengaruhi inflasi di Indonesia. Virus kuning merupakan penyakit yang sering menyerang tanaman cabai rawit, mengakibatkan daun tanaman menguning, keriting dan, berukuran kecil serta bunganya bunganya rontok. Penelitian ini bertujuan untuk  mendeteksi dan mengetahui pola sebaran penyakit virus kuning menggunakan analisis geostatistika. Penelitian ini menggunakan data analisis deskriptif dan diolah menggunakan program Excel 2010 dan software SGEMS. Hasil penelitian analisis geospasial menunjukkan terdapat adanya pola sebaran penyakit dan hasil interpolasi menggunakan metode Kriging Kriging yang menunjukkan adanya foki berwarna kuning hingga merah yang menandakan insidensi penyakit dengan nilai tertinggi terlihat cukup luas atau menyebar sehingga sebaran penyakit virus kuning semakin heterogen pada lokasi tertentu.

References

Adhi, S.R., Widiantini, F. and Yulia, E. (2019) ‘Metode inokulasi buatan untuk menguji infeksi Peronosclerospora maydis penyebab penyakit bulai tanaman jagung’, Jurnal Agro, 6(1), pp. 77–85. Available at: https://doi.org/10.15575/4409.

Afif, R.M. and Octova, A. (2019) ‘Estimasi Sumberdaya Bijih Besi Menggunakan Metode Ordinary Krigging di PT. Gamindra Mitra Kesuma, Kec. Sungai Beremas, Kab. Pasaman Barat, Sumatera Barat’, Jurnal Bina Tambang, 4(3), p. ISSN: 2302-3333.

Amelia, R. (2016) ‘Analisis Spasial Data Tahanan Konus Menggunakan Metode Ordinary Kriging ( Ok )’, Jurnal Fropil, 4(1), pp. 65–73.

Arsi, A. et al. (2020) ‘Pengaruh Teknik Budidaya terhadap Serangan Penyakit pada Tanaman Cabai Rawit (Capsicum frutescens L.) di Kecamatan Lempuing, Kabupaten Ogan Komering Ilir’, Kaos GL Dergisi, 8(75), pp. 147–154. Available at: https://doi.org/10.1016/j.jnc.2020.125798%0Ahttps://doi.org/10.1016/j.smr.2020.02.002%0Ahttp://www.ncbi.nlm.nih.gov/pubmed/810049%0Ahttp://doi.wiley.com/10.1002/anie.197505391%0Ahttp://www.sciencedirect.com/science/article/pii/B9780857090409500205%0Ahttp:

Badan Pusat Statistik (2021) ‘Statistik Hortikultura 2020’, Badan Pusat Statistik, (88), pp. 23–26. Available at: https://www.bps.go.id/publication/.

Belan, L.L. et al. (2018) ‘Geostatistical analysis of bacterial blight in coffee tree seedlings in the nursery’, Summa Phytopathologica, 44(4), pp. 317–325. Available at: https://doi.org/10.1590/0100-5405/179559.

BKKBN (2021) ‘Laporan Kinerja Instansi Pemerintah BKKBN Tahun 2020’, Laporan [Preprint], (63).

Dewi, R., Andadari, L. and Maharani, K.E. (2017) ‘Tinjauan Bioekologi dan Pengendalian Hama Kutu Kebul (Bemisia tabaci Genn.)’, Prosiding Seminar Nasional PEI, pp. 40–45.

Guedes, L.P.C. et al. (2020) ‘NUGGET EFFECT INFLUENCE ON SPATIAL VARIABILITY OF AGRICULTURAL DATA Spatial variability description of soil chemical properties by thematic maps depends substantially on suitable geostatistical models . One of the parameters composing a geostatistical mod’, 4430, pp. 96–104.

Kurniawan, A.R. and Amri, N.A. (2019) ‘Estimasi Sumberdaya Emas Menggunakan Metode Ordinary Kriging Pada Pit X, PT. Indo Muro Kencana, Kec. Tanah Siang, Kab. Murung Raya, Kalimantan Tengah’, 2019(November), pp. 59–69.

Marianah, L. (2020) ‘Serangga Vektor dan Intensitas Penyakit Virus pada Tanaman Cabai Merah’, AgriHumanis: Journal of Agriculture and Human Resource Development Studies, 1(2), pp. 127–134. Available at: https://doi.org/10.46575/agrihumanis.v1i2.70.

Noli, Z.A. and Labukti, H.V. (2022) ‘Pengaruh Ekstrak Paku Resam (Gleichenia linearis) sebagai Biostimulan terhadap Pertumbuhan dan Hasil Cabai Keriting (Capsicum annum L.) Kultivar Kopay’, Agro Bali : Agricultural Journal, 5(3), pp. 492–497. Available at: https://doi.org/10.37637/ab.v5i3.999.

Pramono, S. (2019) ‘Pengendalian Penyebaran Virus Kuning Keriting Cabai (Pepper Yellow Curl Leaf Virus)’, Seminar Nasional dan Kongres PFI XXV, (1), pp. 1–6.

Prihantini, C.I. et al. (2022) ‘Nilai Tambah Cabai dan Peran Wanita Tani di Kecamatan Polinggona Kabupaten Kolaka , Sulawesi Tenggara , Indonesia (The Added Value of Chili and the Role of Women Farmers in Polinggona Subdistrict, Kolaka Regency, Southeast Sulawesi, Indonesia) pangan’, 5(3), pp. 543–551.

Sari, C.D.P., Lepong, P. and Natalisanto, A.I. (2019) ‘Analisis Penyebaran Sifat Fisis Batuan Reservoir Dengan Metode Geostatistik (Studi Kasus : Lapangan Boonsville , Texas , Amerika Serikat)’, Geosains Kutai Basin, pp. 1–7.

Septariani, D.N. et al. (2020) ‘Pemanfaatan Minyak Serai Sebagai Bahan Aktif Nanovirusida untuk Pengendalian Penyakit Kuning pada Cabai’, PRIMA: Journal of Community Empowering and Services, 4(2), p. 51. Available at: https://doi.org/10.20961/prima.v4i2.39797.

Sudiono (2013) ‘Penyebaran Penyakit Kuning pada Tanaman Cabai di Kabupaten Tanggamus Dan Lampung Barat’, Jurnal Penelitian Pertanian Terapan, 13(1), pp. 1–7.

Sulistiyowati, H., Rahmawati, E. and Wimbaningrum, R. (2021) ‘Spatial Distribution Patterns of Lantana camara L. Population as Invasive Alien Species In Pringtali Savana Bandealit Resort Meru Betiri National Park’, Jurnal ILMU DASAR, 22(1), p. 19. Available at: https://doi.org/10.19184/jid.v22i1.9247.

Tuhumury, G.N.. and Amanupunyo, H.R.. (2013) ‘Kerusakan Tanaman Cabai Akibat Penyakit Virus Di Desa Waimital Kecamatan Kairatu (Damage to Chili Plants Due to Virus Disease in Waimital Village, Kairatu District)’, Agrologia, 2(1).

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Published

2023-10-17

How to Cite

Multazam, N. A., Nirwanto, H., & Wiyatiningsih, S. (2023). Deteksi Pola Sebaran Penyakit Virus Kuning pada Tanaman Cabai Rawit Berbasis Analisis Geostatistika. Agro Bali : Agricultural Journal, 6(2), 470–478. https://doi.org/10.37637/ab.v6i2.1202

Issue

Vol. 6 No. 2 (2023)

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