Article Open Access

Expert System For Detecting Soil Fertility Levels for Oil Palm Cultivation Using the Fuzzy Tsukamoto

Winda Yanti, Zara Yunizar, Yesy Afrillia

Abstract


Soil fertility is one of the critical factors that affect the productivity of oil palm plants. Inappropriate soil fertility levels can cause suboptimal plant growth and even crop failure. Low public knowledge about soil fertility is also a significant factor. This research aims to build an expert system that can detect the soil fertility level for oil palm plants using the fuzzy Tsukamoto method. This system uses three main parameters as a reference: soil acidity (pH), soil moisture, and soil texture. The fuzzy Tsukamoto method was chosen because it can handle uncertain data and provide more flexible results. The system was developed web-based using the PHP programming language and MySQL database, and tested on 49 soil data points from the Agricultural Extension Center of Matangkuli District, North Aceh Regency. The system successfully detected soil fertility levels accurately and consistently. Tests were conducted on 49 soil sample data from various villages in Matangkuli District, North Aceh Regency, where soil fertility in the Low category was found in 43 villages with a percentage of 84%, soil fertility in the Medium category was found in 6 villages with a rate of 16% and soil fertility in the High category was not found in any town of Matangkuli District with a percentage of 0% with valid fertility classification results and by expert judgment. With this system, farmers and agricultural extension workers can be helped to make the right decisions regarding the feasibility of land for planting oil palm plants.


Keywords


Expert System, Soil Fertility, Oil Palm, Fuzzy Tsukamoto, PHP, MySQL

References


Nidomudin, A., Nugroho, A. P., & Cholis, M. N. (2017). Sistem Pakar Deteksi Tingkat Kesuburan Tanah Menggunakan Fuzzy Logic. Jointecs (Journal Of Information Technology And Computer Science), 2(2), 91–95. Https://Doi.Org/10.31328/Jointecs.V2i2.474

Herdiansyah, G., Sofyan, E. T., Bawana, S., & Herawati, A. (2021). Perkembangan Tanah Dari Bahan Induk Vulkanik Di Desa Cileles, Kecamatan Jatinangor. Jurnal Tanah Dan Air (Soil And Water Journal), 17(2), 56. Https://Doi.Org/10.31315/Jta.V17i2.4235

Hasibuan, N. W., & Afrianti, S. (2020). Kajian Sifat Kimia Tanah Pada Perkebun Sawit Dengan Menggunakan Mucuna Bracteata Pt . Pp London Sumatra Indonesia , Tbk Unit. Agriprimatech, 4(1), 34–41.

Qamal, M., Darnila, E., & Melodi, B. (2021). Aplikasi Diagnosa Penyakit Tanaman Palawija Dengan Forward Chaining Dan Dempster Shafer Berbasis Android. Techsi - Jurnal Teknik Informatika, 13(1), 38. Https://Doi.Org/10 .29103/Techsi.V13i1.2826

Kusumaningtyas, D. D., Hasbi, M., & Wijayanto, H. (2019). Sistem Pakar Diagnosa Penyakit Saluran Pernafasan Dengan Metode Fuzzy Tsukamoto. 7(2), 1–7.

Ismunu, R. S., Purnomo, A. S., Yunita, R., & Subardjo, S. (2020). Dalam Menyusun Skripsi Menggunakan Metode Multi Factor. 978–979.

Regresi, A., Berganda, L., & Sawit, P. K. (2020). 1 , 2 1,2. 8(3), 102–113.

Pratama, A., & Nasution, N. (2022). Aplikasi Prediksi Hasil Produksi Minyak Kelapa Sawit Dengan Metode Tsukamoto. Journal Of Science And Social Research, 5(3), 683. Https://Doi.Org/10.54314/Jssr.V5i3.1037

Herdiansyah, G., Sofyan, E. T., Bawana, S., & Herawati, A. (2021). Perkembangan Tanah Dari Bahan Induk Vulkanik Di Desa Cileles, Kecamatan Jatinangor. Jurnal Tanah Dan Air (Soil And Water Journal), 17(2), 56. Https://Doi.Org/10.31315/Jta.V17i2.4235

Ariyanti, M., Soleh, M. Arief, & Dewi, I. R. (2017). Sosialisasi Teknik Budidaya Kelapa Sawit Berbasis Perkebunan Kelapa Sawit Berkelanjutan. Jurnal Pengabdian Kepada Masyarakat, 1(6), 356–360.

Zulfa, I., Septima, R., & Syah, I. (2020). Sistem Pakar Untuk Mengetahui Tingkat Kesuburan Tanah Pada Jenis Tanaman Kopi Menggunakan Metode Fuzzy Logic ( Studi Kasus Kota Takengon ). Jurnal Keilmuan San Aplikasi Informatika, 5(36), 37–52.

Arifin, M., Putri, N. D., Sandrawati, A., & Harryanto, R. (2019). Pengaruh Posisi Lereng Terhadap Sifat Fisika Dan Kimia Tanah Pada Inceptisols Di Jatinangor.Soilrens, 16(2), 37–44. Https://Doi.Org/10.24198/Soilrens.V16i2 .20858

Nurhartanto, N., Zulkarnain, Z., & Wicaksono, A. A. (2021). Analisis Beberapa Sifat Fisik Tanah Sebagai Indikator Kerusakan Tanah Pada Lahan Kering. Journal Of Tropical Agrifood, 4, 107–112. Https://Doi.Org/10.35941 /Jatl.4.2.2022.7001.107-112

Herdiansyah, G., Sofyan, E. T., Bawana, S., & Herawati, A. (2021). Perkembangan Tanah Dari Bahan Induk Vulkanik Di Desa Cileles, Kecamatan Jatinangor. Jurnal Tanah Dan Air (Soil And Water Journal), 17(2), 56. Https://Doi.Org/10.31315/Jta.V17i2.4235

Kesumaningtyas, F., & Handayani, R. (2020). Perancangan Sistem Pakar Diagnosa Penyakit Rheumatic ( Rematik ) Dengan Metode Forward Chaining. 8(2), 59–63. Https://Doi.Org/10.21063/Jtif.2020.V8.2.

Kurniawati, D. O., & Efendi, T. F. (2021). Penerapan Metode Fuzzy Tsukamoto Dalam Diagnosa Penyakit Demam Berdarah. Jurnal Informatika, Komputer Dan …, 2020(1), 1–10.




DOI: https://doi.org/10.52088/ijesty.v5i3.884

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Copyright (c) 2025 Winda Yanti, Zara Yunizar, Yesy Afrillia

International Journal of Engineering, Science, and Information Technology (IJESTY) eISSN 2775-2674