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All Journal Voteteknika (Vocational Teknik Elektronika dan Informatika) Jurnal Simetris Creative Information Technology Journal Informasi Interaktif Applied Technology and Computing Science Journal Generation Journal Jurnal Informa: Jurnal Penelitian dan Pengabdian Masyarakat JAMI: Jurnal Ahli Muda Indonesia Journal Social Science And Technology For Community Service Jurnal Informatika Terpadu Kontribusi: Jurnal Penelitian dan Pengabdian Kepada Masyarakat Jurnal Abdi Panca Marga Archive: Jurnal Pengabdian Kepada Masyarakat
Prabowo Budi Utomo
Akademi Komunitas Negeri Putra Sang Fajar Blitar
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Journal : Informasi Interaktif

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IMPLEMENTASI METODE K-NEAREST NEIGHBOR DAN REGRESI LINEAR DALAM PREDIKSI HARGA EMAS Utomo, Prabowo Budi; Utami, Ema; Raharjo, Suwanto
Informasi Interaktif Vol 4, No 3 (2019): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (25.267 KB)

Abstract

ABSTRACT Gold has become one of the inventions that people are interested in. The high resale value makes many people save it as a substitute for savings. But the price of gold is influenced by several things such as economic conditions, the level of demand and supply or the existence of goods, this has encouraged some parties to make predictions of gold prices to avoid unexpected losses going forward. Based on these problems the researchers tried to predict gold prices using the K-Nearest Neighbor (K-NN) method and Linear Regression. The K-NN method is used to classify the data that is owned to then make predictions using Linear Regression. From the test with the number of training data as many as 4305 data and test data as many as 402 data, the root mean square error value of 5.807% was obtained. Keywords: gold investment, gold price prediction, K-Nearest Neighbor, Linear Regression
IMPLEMENTASI METODE K-NEAREST NEIGHBOR DAN REGRESI LINEAR DALAM PREDIKSI HARGA EMAS Prabowo Budi Utomo; Ema Utami; Suwanto Raharjo
Informasi Interaktif Vol 4, No 3 (2019): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (509.297 KB)

Abstract

Gold has become one of the inventions that people are interested in. The high resale value makes many people save it as a substitute for savings. But the price of gold is influenced by several things such as economic conditions, the level of demand and supply or the existence of goods, this has encouraged some parties to make predictions of gold prices to avoid unexpected losses going forward. Based on these problems the researchers tried to predict gold prices using the K-Nearest Neighbor (K-NN) method and Linear Regression. The K-NN method is used to classify the data that is owned to then make predictions using Linear Regression. From the test with the number of training data as many as 4305 data and test data as many as 402 data, the root mean square error value of 5.807% was obtained.Keywords: gold investment, gold price prediction, K-Nearest Neighbor, Linear Regression
Co-Authors Akhsani, Rafika Dini Azzahra, Salsabilla Dona Wahyudi Dzikriadi, Mursidana Bagus Ema Utami Faruqziddan, Muhammad Fu’ad, M. Nur Hafid Dian Nurfaujan Ahat Herdika Septa Aulia, Ewanda Hindra Kurniawan Ibnu Mas'ud Luthfi Kholila, Ni'ma Kusrini Kusrini Kusrini Kusrini M Mujiono M Mujiono, M Mujiono M. Mujiono M. Mujiono - M. Nur Fu'ad M. Nur Fuad M. Nur Fu’ad Moch. Kholil Muhammad Nafi’Uddin Mujiono, M Muluk, Muchammad Saiful Muqorobin Muqorobin Nalendra, Adimas Ketut Nur Fu’ad, M. Rika Wahyuni Tambunan Risky Aswi R, Risky Sukat, Sukat Suwanto Raharjo Tambunan, Rika Wahyudi Wahyudi, Dona Zul Hisyam