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Journal : smartics journal

Penerapan Data Mining pada Algoritma Multiple Linear Regression dalam Peramalan Harga Emas Dina, Intan Rachma; Barata, Mula Agung; Yuwita, Pelangi Eka
SMARTICS Journal Vol 11 No 1 (2025): SMARTICS Journal (April 2025)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/smartics.v11i1.11710

Abstract

Gold, a precious metal, is highly favored for its ease of maintenance and low risk of loss, making it a popular investment choice. However, gold prices are subject to fluctuations influenced by factors such as the dollar exchange rate, market demand and supply, and monetary crises. Understanding these fluctuations is crucial for investors to minimize losses and maximize profits. The dataset, sourced from Investing.Com, spans from January 2019 to December 2024 and includes 1548 records with five attributes. The error rate was evaluated using Root Mean Square Error (RMSE) and Mean Absolute Percentage Error (MAPE). This study aims to forecast gold prices using the Multiple Linear Regression algorithm, with the K-Fold Cross Validation method applied to enhance model accuracy. The results show RMSE and MAPE values of 695.7909 and 0.27%, respectively, indicating that the Multiple Linear Regression algorithm is effective in predicting gold prices.
Klasifikasi Status Stunting Pada Balita di Kecamatan Singgahan dengan Algoritma Ningrum, Sinta; Barata, Mula Agung; Mahmudah, Nur
SMARTICS Journal Vol 11 No 1 (2025): SMARTICS Journal (April 2025)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/smartics.v11i1.11862

Abstract

Stunting is a chronic health issue that significantly impacts the physical growth and cognitive development of children, particularly in developing countries such as Indonesia. This study aims to classify stunting status among toddlers in the Singgahan District by applying the Support Vector Machine (SVM) algorithm, optimized using Grid Search Cross-Validation. The dataset consists of 642 toddler records with nine attributes representing nutritional and growth conditions. The classification process involves several stages, including data preprocessing, handling data imbalance using the SMOTE method, and model performance evaluation through 5-fold cross-validation. The results show that the SVM algorithm without optimization achieved an accuracy of 69.83%, while optimization with Grid Search Cross-Validation significantly increased the accuracy to 93.33%. These findings indicate that the application of SVM with hyperparameter tuning via Grid Search Cross-Validation is effective in improving classification accuracy for stunting status in toddlers. This research contributes to the use of machine learning in supporting decision-making processes in public health sectors.
Co-Authors Abdul Aziz Alfianto Faidatul Aldi Yumardiansyah Amalia, Salsabila Dani Andiyani, Putri Aprillia Dwi Ardianti Deni Reskianto Deni Denny Nurdiansyah Dina Selvi Rahmadani Dina, Intan Rachma Distira, Riski Putra Ayu Dwi Irnawati Dwi Issadari Hastuti Dwi Prastya, Ifnu Wisma Dwi Syafi'i, Ahmad Dwi Tiyas Novitasari Edi Noersasongko Efendi, Ervina Putri Eka Wahyu Andriyani Elok Fathiyatul Laili Fannisa Salsabila Pratiwi Fina Indri Silfana Guruh Putro Dirgantoro Hidayah, Alvinatul Ifnu Wisma Dwi Prastya Ilmiyah, Miftakhul Indra Dharma Wijaya Indra Dharma Wijaya, Indra Dharma Ita Aristia Sa'ida Jauhar Vikri, Muhammad Laily, Amalia Nur Lambang, Rahmat Tegar Patriot Hari Levia, Zachdyna Aurelya M. Khoirul Risqi M. Ridlwan Hambali Maulani, Vicka Rizqi Moch Arief Soeleman Moh. Miftahul Choiri Moh. Muhajir Moh. Yusuf Efendi Munir, Ach Sirojul Muzakka, Moch. Arifuddin Nasirudin, M. Nisa, Siti Khoirun Novitasari, Dwi Tiyas Nur Mahmudah Nur’aini, Zulfiana Panigoro, Buyung Pelangi Eka Yuwita Prabowo, Affan Agung Pradema Sanjaya, Ucta Prastya, Ifnu Wisma Dwi Purwanto Purwanto Putri Amelia Reza Anggapratama Rheyna Anggri Setyani Rochmatin, Novia Nur Roihatur Rohmah Roihatur Rohmah Sahri Sahri Sahri Santi, Nirma Ceisa Saputra, Agus Bima Shafa Kirana Aralia Shofiatuz Zulfia Shofiatuz Zulfia Silfana, Fina Indri Sinta Ningrum Taufik Hidayat Teguh Pribadi Usman Nurhasan Viki Mei Adi Saputra Vita Dwi Rahmawati Wisma Dwi Prastya, Ifnu Wulan, Diah Nawang Yaqin, Ahmad Ainul Zainul Abidin Zakki Alawi