SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN HARGA BAHAN POKOK MENGGUNAKAN REGRESI LINIERi

Ratna Widyastuti Widyastuti

doi:10.33795/jip.v10i1.1421

Ratna Widyastuti Widyastuti Politeknik Negeri Malang

DOI: https://doi.org/10.33795/jip.v10i1.1421

Keywords: sistem pendukung keputusan, harga, jarak,regresi linier, website

Abstract

The Kediri City Government has provided an application that can provide updates on the prices of necessities in traditional markets everyday. This is useful for the community to get updates on the latest prices of necessities needed. After getting the price of the necessities needed at each market, the community is still doing calculations to get the cheapest transportation costs based on the location to the market. This makes it difficult for the community because people have to do calculations to compare the cost of obtaining necessities based on price updates on the application and manual calculations for transportation costs that can be measured by distance. Website-based application development is equipped with a Decision Support System that can provide recommendations for obtaining basic commodities at the lowest cost that takes into account two variables, namely distance and prices of necessities. The use of the linear regression method is needed to get the lowest value of the two variables whose coefficients have been determined, namely 70 percent for distance and 30 percent for price.

Downloads

Download data is not yet available.

References

Usman, A. (2014). Rencana Strategis 2010-2014 . Jakarta: Badan Litbang Dikat Hukum dan Peradilan Mahkamah Agung RI.
Afkarina, N. K., Widodo, A. W., & Furqon, M. T. (2020). Implementasi Regresi Linier Berganda Untuk Prediksi Jumlah Peminat Mata Kuliah Pilihan. Jurnal Pengembangan Teknologi, 11(3), 10462-10467.
Alamsyah, M. N. (2017). Sistem Informasi Harga Sembilan Bahan Pokok Berbasis Web Mobile pada Kantor Ketahanan Pangan Kota Lubuklinggau. JUSIM (Jurnal Sistem Informasi Musiwaras), 2(1), 17-27.
Amrin. (2016). Data Mining dengan Regresi Linier Berganda untuk Peramalan Tingkat . Techno Nusa Mandiri Journal of Computing and Information Technology, XIII(1), 74-79.
Annugerah, A., Astuti, I. F., & Kridalaksana, A. H. (2016). Sistem Informasi Geografis Berbasis Web Pemetaan Lokasi Toko Oleh-Oleh Khas Samarinda. Jurnal Ilmiah Ilmu Komputer, XI(2), 43-47.
Atmojo, S. (2018). Teori Permutasi Dan Penggunaan Api Mapbox Untuk Pencarian Rute Terpendek. Jurnal Ilmiah Pendidikan dan Informatika (DUTIC), IV(2), 37-43.
Fajrin, I. (2018). Statistika Untuk Penelitian dan Ilmu-ilmu Sosial (edisi pert ed.). Jakarta: Prenada Media.
Harahap, D. A., Gaffar, V., Ahmad, R. H., & Amanah, D. (2017). The Effect of Location and Products Completeness to Consumer Buying Decision of Small and Medium Enterprise Market. Surabaya: Conference: Proceedings of the 2nd Global Conference on Business, Management, and Entrepreneurship (GC-BME 2017).
Hijriani, A., Muludi, K., & Andini, E. A. (2016). Implementasi Metode Regresi Linier Sederhana pada Penyajian Hasil Prediksi Pemakaian Air Bersih PDAM Way Rilau Kota Bandar Lampung dengan Sistem Informasi Geografis. Jurnal Informatika Mulawarman, 11(2), 37-41.
Purnomo, A. (2019). Analisis Rute Distribusi Dengan Metode Capacity Vehicle Routing Problem ( Cvrp ) Pada Produk Coca Cola Di Pusat Distribusi. Jurnal Competitive, XII(2), 1-15.
Rahmayuni, I., Sonatha, Y., Alanda, A., & Erianda, A. (2020). Sistem Informasi Harga Komoditas Pangan. Jurnal Ilmiah Teknologi Sistem Informasi, 1(1), 25-31.
Rizal, F., Adam, M., & Mahdani , I. (2017). Effect of Price, Design and Location on Decision of Purchase and Its Implication on Customer Satisfaction. International Journal of Ecomics, Commerce and Management, 5(12), 345-353.
Setiawan, K. (2020). Daging Ayam dan Telur Sumbang Inflasi Juni 2023, BPS: Lebih Tinggi dari Bulan Sebelumnya. Jakarta: tempo.co. Retrieved from https://bisnis.tempo.co/read/1744194/daging-ayam-dan-telur-sumbang-inflasi-juni-2023-bps-lebih-tinggi-dari-bulan-sebelumnya
Suryana, A. (2014). Menuju Ketahanan Pangan Indonesia Berkelanjutan 2025: Tantangan dan Penanganannya. Jurnal Forum Peneliti Agro Ekonomi, 32(2), 123-135.
Widyastuti, R., & Izzah, A. (2017). Prediksi Harga Saham Menggunakan Improved Multiple Linier Regression untuk Pencegahan Data Outlier. Jurnal Kinetik, 2(3), 141-150.
Wulandari , S., & Wibowo, A. P. (2019). Development of SAW (Simple Additive Weighting) Method for Decision Support System of Sembako Price Control. International Journal of Engineering, Technology and Natural Sciences , 1(1), 1-8.