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All Journal Jurnal Ilmiah Wahana Pendidikan Jurnal Ilmu Pendidikan (SOKO GURU) Berkala Penelitian Teknologi Kulit, Sepatu, dan Produk Kulit OKTAL : Jurnal Ilmu Komputer dan Sains Triwikrama: Jurnal Ilmu Sosial TEKNOBIS : Jurnal Teknologi, Bisnis dan Pendidikan

Anisa Aulia

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Author-ID : 3731273

Religion Arts Humanities Astronomy Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Prediksi Harga Emas dengan Menggunakan Algoritma Support Vector Regression (Svr) dan Linear Regression (LR) Anisa Aulia; Bella Aprianti; Yusuf Supriyanto; Chaerur Rozikin
Jurnal Ilmiah Wahana Pendidikan Vol 8 No 5 (2022): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Gold is a precious metal that is in great demand, because generally the value of gold tends to be stable and the price per gram will increase every year. Gold investment is divided into two, there are digital investments and physical investments. Sometimes in this gold investment investors will experience losses as well as gain profits. To minimize this, a technique is needed to predict the price of gold. Prediction technique is one of the techniques used in Machine Learning. This study aims to predict the price of gold using the Support Vector Regression (SVR) and Linear Regression (LR) algorithms as a comparison. The software that will be used is Jupyter Notebook using the Python programming language. The final result obtained is a graph of the gold price and of the MSE (Mean Squad Error) error on the the SVR Algorithm is 7.524505784357 and LR Algorithm is 4.04444791059

Algoritma Linear Regression dalam Memprediksi Pertumbuhan Jumlah Penduduk Menurut Provinsi dan Jenis Kelamin Bella Aprianti; Anisa Aulia; Intan Purnamasari
Jurnal Ilmiah Wahana Pendidikan Vol 8 No 5 (2022): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Basically the population in a country will continue to increase every year. According to the Central Statistics Agency (BPS), Indonesia's population in 2015 continued to increase until 2020. The increasing population growth will have an impact on the economic, social, political and national defense sectors. Proper structured planning by the government is needed to avoid the possible impacts. Researchers predict population growth using the Linear Regression Algorithm in prediction techniques in data mining. The results of the Linear Regression Algorithm are almost perfect because they are very close to the original data, and the resulting accuracy is very good. The lowest RMSE result is 125,321.

Co-Authors Agung Wijoyo Akmal Dinullah Ayu Rizkita Agung Bella Aprianti Chaerur Rozikin Dede Indra Setiabudi Devi Linda Fitriya Hanif Azhumar Intan Purnamasari Nasichah, Nasichah Nur Fatihani Rian Riyono Saifudin Husen Silvia Leliana TRI WULANDARI Wawan Budi Setyawan Yusuf Supriyanto Zahratul Laila

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