Implementasi Weighted Product Pengklasifikasian Lahan Pertanian
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Published:
Apr 1, 2018
Keywords:
Weight Product, Klasifikasi Lahan, Sendang Agung
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Abstract
Untuk kegiatan pertanian memerlukan lahan yang terbaik untuk bercocok tanam, sehingga hasil pangan yang dihasilkan juga berkualitas. Lahan merupakan salah satu komoditi penting yang merupakan mata pencaharian para penduduk Indonesia. Penentuan pengklasifikasian lahan meliputi penilaian kriteria-kriteria suatu daerah. Adapun kriteria-kriteria suatu daerah yaitu jenis lahan, tekstur lahan, curah hujan, suhu, lokasi, dan nilai. Pemanfaatan sistem pendukung keputusan sangat membantu dalam penentuan kelayakan daerah pertanian, dan disertai dengan metode Weighted Product. Dengan adanya sistem pendukung keputusan akan lebih mempermudah penduduk dalam memilih lahan untuk bercocok tanam. Hasil yang dicapai dalam pemanfaatan metode Weighted Product setelah melakukan pembobotan dari empat alternatif yang dipilih terdapat pada alternatif ke empat dengan bobot terbesar, maka alternative ini bisa dijadikan acuan untuk lahan terbaik
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References
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[4] D. Djaenudin, “Research Development Of Land Resources And Contributions To Overcome The Need For Agricultural Lands In Indonesia,” J. Litbang Pertan., vol. 27, no. 98, pp. 137–145, 2008.
[5] I Gede Budiarta, “Evaluation Of Land Use Adjustment As Effort Increasing Regional Quality Of River Flow,” J. media Komun. Geogr., vol. 17, no. 1, pp. 1–10, 2016.
[6] K. A. Henry Wibowo, Riska Amalia, Andi Fadlun M, “Sistem Pendukung Keputusan Untuk Menentukan Penerima Beasiswa Bank BRI Menggunakan FMADM (Studi Kasus: Mahasiswa Fakultas Teknologi Industri Universitas Islam Indonesia),” Semin. Nas. Apl. Teknol. Inf. 2009, no. Snati, pp. 1–6, 2009.
[7] R. H. Amelia Yusnita, “Sistem Pendukung Keputusan Menentukan Lokasi Rumah Makan Yang Strategis Menggunakan Metode Naive Bayes,” Semin. Nas. Teknol. Inf. dan Komun. Terap. 2012, vol. 2012, no. Semantik, pp. 1–5, 2012.
[8] A. D. Susanti, M. Muslihudin, and S. Hartati, “Sistem Pendukung Keputusan Perankingan Calon Siswa Baru Jalur Undangan Menggunakan Simple Additive Weighting ( Studi Kasus : SMK Bumi Nusantara Wonosobo ),” SEMNASTEKNOMEDIA, vol. 5, no. 1, pp. 37–42, 2017.
[9] F. S. Nur Aminudin, Nungsiyati, Khuswatun Hasanah, Andino Maseleno, “Fuzzy Multiple Attribute Decision Making Sebagai Metode Penentuan Pemukiman Kumuh Di Wilayah Pringsewu,” J. TAM ( Technol. Accept. Model ), vol. 8, no. 2, pp. 136–145, 2017.
[10] M. Muslihudin, D. Kurniawan, and I. Widyaningrum, “Implementasi Model Fuzzy SAW Dalam Penilaian Kinerja Penyuluh Agama,” J. TAM ( Technol. Accept. Model ), vol. 8, no. 1, pp. 39–44, 2017.
[11] S. W. Satria Abadi, “The Model of Determining Quality of Management Private Higher Education Using FAHP (Fuzzy Analytic Hierarchy Process) Method,” in ICESIA 1, 2016, vol. 1, no. 1, pp. 166–172.
[12] M. Muslihudin and M. Gumanti, “A System To Support Decision Makings In Selection Of Aid Receivers For Classroom Rehabilitation For Senior High Schools By Education Office Of Pringsewu District By,” IJISCS, vol. 1, no. 2, pp. 1–9, 2017.
[13] M. Muslihudin, F. Triananingsih, and L. Anggraei, “Pembuatan Model Penilaian Indeks Kinerja Dosen Menggunakan Metode Fuzzy Simple Additive Weighting,” SEMNASTEKNOMEDIA, vol. 5, no. 1, pp. 25–30, 2017.
[14] M. M. Riyan Suhandi, Leni Anggraeni, “Cara Penentuan Kelayakan Calon Kepala Desa Pada Desa Blitarejo Menggunakan Metode Simple Additive Weighting (SAW),” Konf. Nas. Sist. Inf., vol. 0, no. 0, pp. 65–73, 2016.
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[16] K. Slamet Hidayat, Rita Irviani, “Sistem Pendukung Keputusan Pemilihan Guru Teladan Ma Al Mubarok Batu Raja Menggunakan Metode Topsis,” J. TAM ( Technol. Accept. Model ), vol. 6, no. 1, pp. 1–8, 2016.
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[18] I. F. A. Septiyana Firdyana, Dedy Cahyadi, “Penerapan Metode Weighted Product Untuk Menentukan Penerima Bantuan Beras Masyarakat Miskin ( RASKIN ),” Pros. Semin. ilmu Komput. dan Teknol. Inf., vol. 2, no. 1, pp. 1–7, 2017.