Penerapan Metode SMARTER pada Sistem Pendukung Keputusan Pemilihan Lahan Kayu Putih

Authors

  • Ratih Hafsarah Maharrani Politeknik Negeri Cilacap, Cilacap http://orcid.org/0000-0002-4960-8944
  • Prih Diantono Abda’u Politeknik Negeri Cilacap, Cilacap
  • Hety Dwi Hastuti Politeknik Negeri Cilacap, Cilacap

DOI:

https://doi.org/10.30865/mib.v7i1.5293

Keywords:

Land Suitability, Decision Support System, SMARTER

Abstract

The productivity of eucalyptus in Indonesia is included in the low productivity group, the lack of raw materials resulting in a deficit in eucalyptus production is the cause of this. Meanwhile market demand is increasing. The large area of land in the Cilacap Regency area is not matched by its utilization, this is due to a lack of knowledge about potential land uses. There are 5 criteria for land, namely land "S1 (Highly Suitable), S2 (Quite Suitable), S3 (marginally suitable), N1 (currently not suitable) and N (not suitable forever). “Decision support methods can be used in determining land suitability, one of which is the SMARTER method. The method was chosen because determining the suitability of eucalyptus land was processed by "rank order centroid (ROC) weighting" where the existing criteria have weight based on the priority level adjusted to the ranking process. Of the 84 processed data, it was found that around 98% or 83 of the data stated that the Cilacap district was included in the S2 suitability range (Quite Appropriate). In addition, based on the results of the accuracy testing carried out, the percentage of accuracy was 80.95%. Seeing the high percentage, the decision support system using the SMARTER method is appropriate to be used to determine the suitability of eucalyptus land. “

References

R. M. Septiana, N. Supriyanto, and S. Riyanto, “Socio Demographic Factors and Work Performance of Forest Workers in Cajuput Leaf Harvesting at RPH Nglipar, KPH Yogyakarta,†J. WASIAN, vol. 7, no. 2, pp. 111–120, 2020, doi: 10.20886/jwas.v7i2.5532.

M. R. Mumtazy, S. T. W. Amelia, A. Wiguno, and Kuswandi, “Pra Desain Pabrik Minyak Kayu Putih dari Daun Kayu Putih,†J. Tek. ITS, vol. 9, no. 2, 2020.

L. R. Lindayani, N. Suryati, A. Chandra, I. Magara, L. O. Marhini, and L. O. Hermin, “Upaya Peningkatan Imun Masyarakat Melalui Literasi Resep-Resep Tradisional pada Masa Pandemi,†J. PEPADU, vol. 2, no. 2, pp. 173–182, 2021, [Online]. Available: https://jurnal.lppm.unram.ac.id/index.php/jurnalpepadu/article/view/312

R. Dwiarsa, T. H. Purwanto, and L. W. Santosa, “Evaluasi Kesesuaian Lahan Kayu Putih (Melaleuca cajuputi) Berbasis SIG di Bagian Daerah Hutan Playen,†J. Wana Lestari, vol. 5, no. 2, pp. 107–115, 2021.

D. S. Simbolon and B. Sinaga, “Sistem Pendukung Keputusan Penentuan Kesesuaian Lahan Tanaman Cengkeh Dengan Metode Profile Matching,†J. Nas. Komputasi dan Teknol. Inf., vol. 4, no. 5, pp. 370–376, 2021.

A. Egasari, D. Puspitaningrum, and P. Prawito, “Chaining, Sistem Pakar Identifikasi Kesesuaian Lahan Untuk Tanaman Perkebunan Di Provinsi Bengkulu Dengan Metode Bayes Dan Inferensi Forward,†J. Rekursif, vol. 5, no. 2, pp. 134–146, 2017.

A. Farmadi, I. Ridwan, and D. Kartini, “Implementasi Fuzzy Sugeno Untuk Menentukan Kesesuaian Tanaman Kelapa Sawit Pada Lahan Gambut,†Kumpul. J. Ilmu Komput., vol. 5, no. 2, pp. 224–234, 2018.

K. Khomsatun, D. Ikhsan, M. Ali, and K. Kursini, “Sistem Pengambilan Keputusan Pemilihan Lahan Tanam Di Kabupaten Wonosobo Dengan K-Means Clustering Dan Topsis,†J. Nas. Pendidik. Tek. Inform., vol. 9, no. 1, p. 55, 2020, doi: 10.23887/janapati.v9i1.23073.

S. Monalisa et al., “Implementasi Metode Smarter Untuk Sistem Sawit Pada PT Eka Dura Indonesia,†Ilm. Rekayasa dan Manaj. Sist. Inf., vol. 7, no. 2, pp. 133–138, 2021.

A. Rizkiyanto and I. G. Anugrah, “Implementasi Metode Simple Multy Attribute Rating Technique Exploiting Ranks (Smarter) Dan Forward Chaining Pada Penentuan Posisi Karyawan Baru PT. Langgeng Buana Jaya, Gresik,†J. Nas. Komputasi dan Teknol. Inf., vol. 2, no. 2, p. 149, 2019, doi: 10.32672/jnkti.v2i2.1565.

R. Sadono, D. Soeprijadi, and P. Y. A. P. Wirabuana, “Kesesuaian lahan untuk pengembangan tanaman kayu putih dan implikasinya terhadap teknik silvikultur,†J. Pengelolaan Sumberd. Alam dan Lingkung. (Journal Nat. Resour. Environ. Manag., vol. 10, no. 1, pp. 43–51, 2020, doi: 10.29244/jpsl.10.1.43-51.

E. R. Dahana, A. T. Hendrawan, and S. Anardani, “Rancang Bangun Sistem Pendukung Keputusan Pemberian Sanksi Pelanggaran Siswa Menggunakan Metode SMARTER,†Semin. Nas. Teknol. Inf. dan Komun., p. 288, 2018.

A. Annisah, B. Nadeak, and ..., “Penerapan Metode SMARTER Pada Sistem Pendukung Keputusan Pemilihan Merchandise Display Terbaik (Studi Kasus: PT. Pasar Swalayan Maju Bersama),†KOMIK (Konferensi …, vol. 4, 2020, doi: 10.30865/komik.v4i1.2674.

S. S. Helma et al., “Penerapan Metode SMARTER untuk Penentuan Hasil Open Recruitment Anggota Puzzle Research Data Technology ( Predatech ),†Sntiki, no. November, pp. 277–285, 2019.

Y. Yunita, “Implementasi Metode Simple Multi-Attribute Rating Technique Exploiting Rank (SMARTER) Pada Sistem Pendukung Keputusan,†Kntia Unsri, vol. 4, pp. 57–60, 2017.

T. G. Soares and A. Azhari, “Sistem Pendukung Keputusan Untuk Kesesuaian Lahan Komoditas Jagung Di Kabupaten Viqueque,†Semin. Nas. Sist. Inf. dan Tek. Inform. (Sensitif 2019), pp. 547–559, 2019.

A. Nurkholis, Muhaqiqin, and T. Susanto, “Algoritme Spatial Decision Tree untuk Evaluasi Kesesuaian Lahan Padi Sawah Irigasi,†J. RESTI (Rekayasa Sist. dan Teknol. Informasi), vol. 1, no. 1, pp. 978–987, 2019.

Qomaruddin, A. Sukmono, and A. L. Nugraha, “Analisis Kesesuaian Lahan Komoditas Kehutanan Dan Perkebunan Di Wilayah Kabupaten Banjarnegara Dengan Metode Matching,†J. Geod. Undip, vol. 7, no. 1, pp. 1–13, 2018.

Sudaryono, “Evaluasi Kesesuaian Lahan Tanaman Kayu Putih Kabupaten Buru Provinsi Maluku,†J. Teknol. Lingkung., vol. 11, no. 1, pp. 105–116, 2010.

N. Puji Rahayu, M. P. Rekyan Regasari, and A. Wahyu Widodo, “Tampilan Sistem Pendukung Keputusan (SPK) Pemilihan Tanaman Pangan Berdasarkan Kondisi Tanah Menggunakan Metode ELECTRE dan TOPSIS.pdf.†pp. 2323–2332, 2018.

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Published

2023-01-28

Issue

Vol. 7 No. 1 (2023): Januari 2023

Section

Articles

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