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Journal : Journal of Applied Data Sciences

Adaptive Estimation for the Distribution Model of Golden Apple Snail (Pomacea canaliculata (Lamarck)) Pests Using Kernel and Spline Smoothers with Goldenshluger-Lepski Method Zulfikar, Zulfikar; Nasirudin, Mohamad; Susanti, Ambar; Sifaunajah, Agus
Journal of Applied Data Sciences Vol 6, No 2: MAY 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i2.578

Abstract

The accuracy of the golden apple snail pest distribution model estimation is very much needed by farmers in dealing with pest attacks, especially in the rainy season. This research aimed to obtain the best distribution model of golden apple snail pests with kernel estimators and spline smoothing through the Goldenshluger-Lepski adaptive bandwidth selection method with an estimation error rate below 10%. The parameters measured were population density 7-42 days after planting, Morisita index, and environmental correlation. The results showed that the population density of golden apple snail pests from four research locations differed significantly in both the juvenile phase (PrF = 0.00161), pre-adult (PrF = 0.000872), and adult (PrF = 0.019122). The highest density was found in Bandar Kedungmulyo District (9.23 individuals.m-2), while the lowest was found in Megaluh District (6.37 individuals.m-2). The population pattern is evenly distributed with a Morisita index of less than one and the highest index (Id = 0.469) was recorded in Megaluh District. The best population distribution model was obtained using the optimum h(7) kernel smoothing estimator, with the lowest Mean Square Error (0.001), and Mean Absolute Square Error (0.032) values in Megaluh District. Furthermore, the best distribution model was obtained using the natural cubic spline smoother with the lowest Mean Square Error (0.055), and Mean Absolute Square Error (0.020) values in Tembeleng District. In conclusion, the best golden apple snail pest distribution model was obtained using the adaptive kernel smoothing estimator of the Goldenshluger-Lepsky model approach, which produced the lowest estimation error rate compared to the spline smoother. This research contributes to developing the best distribution model for golden snail pests, which can strengthen the information technology database for monitoring, controlling, and utilizing the potential of golden snail pests.
Co-Authors Abu Sofyan, Mukhmat Ahmad Insani Asadullah Ahmad Kharisudin Ashar Ahmad Qomarudin Ahsan Ahmad Qomarudin Ahsan Ahyar, A. Syaugi Al Aldi, Muh Abu Nasher Aldikdar Anggi Indah Yuliana Anggi Indah Yuliana Anton Muhibuddin Ardiansyah, Igo Arfin, Ardinal Arifin, Muhyiddin Zainul Arinda Nurul Fitriah Aris, Moh. Anshori Aris Widya Arjuna Andriyanto Cahyo Nugroho Asadullah, Ahmad Insani Budi, Angga Setiya Burhan Arifin Cahyono, Vina Anggraini Puspita Sari Chairul Anam, Chairul Chumaidi, Moch. Chyntia Tulusiawati Dinni, Ririn Nur Durrotul Hikmah Eky Mita Nisayanti Elda Inia Agustin Elifati, Elya Faikhin . Fitriah, Arinda Nurul Habib Qoirul Tabiin Hariono, Tholib Haryati - Hasan Bisri Isa Alfaris I Gusti Bagus Wiksuana Igo Ardiansyah Ika Nur Amaliah Khoirun Nisa Khotim Fadhli Kinasih, Diesty Ayu Kusworo Adi Laylatul Desia Rohmawati Lum’atul Af’idah M Farid Nasrulloh M. Khoirul Anam M. Khoirul Anam M. Radiman Iskandari Mariam, Isna Septiani Maulana, Yusril Hendra Meiliawati, Wanda Miftakhudin, Muhamad Moch Khoirul Faizin Moch. Chumaid Moh. Anshori Aris Widya Mohamad Jamiludin Mohammad Faisol Zuhri Mohammad Habibulloh Muhammad Kholil Asy’ari Muhammad Rifqi Helmi Azhari Muhyiddin Zainul Arifin Muhyiddin Zainul Arifin Mukhmat Abu Sofyan Munawarah Munawarah Nasirudin, Mohamad Novi Dwesti Bahtiar Nudin, Nur lhsan Nur Arini Nur Khafidhoh Nur Khafidhoh Nur Khafidhoh, Nur Nur Musyarrofatul Mala Qo’id Afifudin Ratna Oktavia Riesca Dewi Wahyuningtyas Ririn Nur Dinni Rosa Tarbiyatul Khusna Saiful Anam Siti Sufaidah Subagiyo - Sufaidah, Siti sujono Sujono Sujono, Sujono Susanti, Ambar Viqri Zakaria, Ari Yusril Hendra Maulana Zeni Permatasari Zulfikar Zulfikar -, Zulfikar Zulfikar Zulfikar