Sistem Pendukung Keputusan Diagnosa Penyakit Tanaman Cabai Merah Menggunakan Metode TOPSIS Berbasis Web di Desa Kerik Magetan Jawa Timur

Authors

  • Pebri Romadhon Universitas Merdeka Madiun
  • Tomi Tristono Universitas Merdeka Madiun
  • Pradityo Utomo Universitas Merdeka Madiun

DOI:

https://doi.org/10.51519/journalsea.v2i1.73

Keywords:

Decision Support System, TOPSIS, Chili Plant Disease Diagnosis, Blackbox Testing, Waterfall

Abstract

Kerik Village, Takeran District, Magetan Regency, part of the community, work as red chilli farmers. Farmers experience some difficulties in red chilli cultivation because farmers still have little experience in red chilli cultivation. The farmers cannot know the types of diseases and pests and the symptoms that hit chilli plants that can reduce the productivity of chilli plants and can even cause crop failure. In addition, farmers also do not have experience handling it when they encounter problems that hit chilli plants that are being cultivated. To assist farmers in overcoming these problems, a web-based decision support system was built using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. The decision support system was created and designed using the Waterfall method and tested using the Blackbox Testing system testing method. With this decision support system, it is hoped that it will help farmers in Kerik Village diagnose diseases of the red chilli plants they cultivate. The test results from the Decision Support System for Diagnosing Red Chili Plant Diseases Using the Web-Based TOPSIS Method got the results as expected with the Blackbox Testing test, which brought the results of the percentage of system success of 100%.

References

Anggraeni, E. Y., Oktovianto, O., & Agustina, W. (2016). Sistem Pendukung Keputusan Dalam Diagnosa Penyakit Anemia Dengan Menggunakan Metode Saw ( Simple Additive Weighting ). Seminar Nasional Teknologi Informasi Dan Multimedia 2016, 31–36.

Brahmantyo, H. V., & Ariyanto, R. (2016). Sistem Pendukung Keputusan Penentuan Tanaman Obat Sesuai Jenis Penyakit Menggunakan Metode Topsis. Jurnal Informatika Polinema, 2(2), 66.https://doi.org/10.33795/jip.v2i2.58

Feriadi, D. (2012). Aplikasi Sistem Pendukung Keputusan Untuk Simulasi Diagnosa Hama dan Penyakit Pada Tanaman Cabai. STMIK Pringsewu Lampung, 106–113.

Irnaldi, R. (2019). Sistem Pakar Diagnosa Penyakit Tanaman Cabai Menggunakan Metode Forward Chaining Berbasis Android. Jurnal Perencanaan, Sainns, Teknologi Dan Komputer, 2(1), 165–174.

Novianti, N., dan Setiawan, R. (2017). Pengembangan Sistem Informasi Jasa Menjahit Berbasis Web Pada Ganesha Tailor Garut. Jurnal Algoritma, 13(2), 246–253. https://doi.org/10.33364/algoritma/v.13-2.246.

Pardede, A., & Novriyenni, &. (2018). Perancangan Sistem Pakar Diagnosa Penyakit Tanaman Kelapa Sawit Dengan Metode Bayes Study Kasus PT.Ukindo Blankahan Estate. https://doi.org/10.31219/osf.io/jg3st

Priyono dan Nuzuliarani. (2020). Sistem Pendukung Keputudan Metode TOPSIS Untuk Diagnosa Penyakit Demam Berdarah. Journal of Chemical Information and Modeling, 53(9), 1689–1699.

Puspito, M. A., Hidayat, N., & Suprapto. (2018). Sistem Pendukung Keputusan Diagnosa Penyakit Tanaman Jeruk Menggunakan Metode Naive Bayes Classifer. Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer, 2(7), 1–6.

Suyono, S., dan Carnovia, C. (2018). Sistem Pendukung Keputusan Menentukan Penyakit Pada Tanaman Kakao Menggunakan Metode Topsis. Explore: Jurnal Sistem Informasi Dan Telematika, 9(1). https://doi.org/10.36448/jsit.v9i1.1034.

Sri Wanti Ginting, N., & Sindar RMS, A. (2018). Sistem Pakar Diagnosa Penyakit Kacang Kedelai Menggunakan Metode Certainty Factor. UPI YPTK Jurnal KomTekInfo, 5(1), 36–41.

Downloads

Published

2021-02-28

How to Cite

Romadhon, P., Tristono, T., & Utomo, P. (2021). Sistem Pendukung Keputusan Diagnosa Penyakit Tanaman Cabai Merah Menggunakan Metode TOPSIS Berbasis Web di Desa Kerik Magetan Jawa Timur. Journal of Software Engineering Ampera, 2(1), 1–15. https://doi.org/10.51519/journalsea.v2i1.73