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Penelitian ini mengembangkan model prediksi nilai IQ berbasis machine learning untuk mempercepat proses penilaian secara lebih akurat dan efisien. Tahapan penelitian meliputi pengumpulan dan preprocessing data, pemilihan serta pelatihan model, dan evaluasi. Dataset berisi 198 data individu dengan skor mentah sebagai input dan nilai IQ sebagai output. Model menggunakan SVM untuk klasifikasi dan SVR untuk regresi, dievaluasi dengan MSE dan R-Squared. Hasil menunjukkan akurasi prediksi 100%, MSE rendah, dan R² 0.05. Model diimplementasikan dalam aplikasi web Streamlit yang memungkinkan pengguna memasukkan skor mentah, memperoleh prediksi beserta kategorinya, serta mengunduh laporan PDF untuk memantau perkembangan IQ dari waktu ke waktu.","Pemodelan Prediksi Nilai IQ Menggunakan Algoritma Machine  \nLearning  \nM. Akbar Tri Ramadhania, Dewi Permata Sarib , Anisa Aulia Sabilahc , Aghnia Hafsa Tabithad , Ainur Rochmahe , Andika Saputraf , Erin Natasyag ,Destra Andika Pratamah  \naTeknik Elektro, Politeknik Negeri Sriwijaya, [Tri18112003@gmail.com](Tri18112003@gmail.com)  \nbTeknik Elektro, Politeknik Negeri Sriwijaya, [dewi_permatasari@polsri.ac.id](dewi_permatasari@polsri.ac.id)cTeknik Kelautan, Politeknik Kelautan dan Perikanan Bone, [anisaauliasabilah@poltekkpbone.ac.id](anisaauliasabilah@poltekkpbone.ac.id)dFakultas Ilmu Sosial dan Hukum, Universitas Negeri Jakarta, [aghniahafsha133@gmail.com](aghniahafsha133@gmail.com)  \neFakultas Teknik, Universitas PGRI Ronggolawe, [ainurrochmah07@gmail.com](ainurrochmah07@gmail.com)  \nfFakultas Teknik dan Sains,Universitas Muhammdiyah Bangka Belitung, [aandkaspt@gmail.com](aandkaspt@gmail.com)  \ngFakultas Ekonomi dan Bisnis, Universitas Jambi, [natasyarin06@gmail.com](natasyarin06@gmail.com)  \nhTeknik Elektro, Politeknik Negeri Sriwijaya, [destra_andika_pratama@polsri.ac.id](destra_andika_pratama@polsri.ac.id)  \nSubmitted: 21-01-2025 , Reviewed: 06-02-2025, Accepted 15-04-2025  \n[https://doi.org/10.47233/jteksis.v7i2.1851](https://doi.org/10.47233/jteksis.v7i2.1851)  \nAbstract  \nManually measuring IQ often takes a lot of time, money and resources, and is prone to error. Therefore, this research aims to develop a machine learning-based IQ score prediction model so that the evaluation process can be carried out more quickly, efficiently and accurately. The methods used in this research include data collection, data preprocessing, modelselection and training, and model evaluation. The dataset used consists of 198 individual data with raw score features as input and IQ values as output. The model was developed using the Support Vector Machine (SVM) algorithm for classification and Support Vector Regression (SVR) for regression. Model evaluation was carried out using Mean Squared Error (MSE) andR-Squared (R²). The research results show that the model has a prediction accuracy of 100%, a low MSE value, andanR² of 0.05. This model is implemented in the form of a Streamlit-based web application, where users only enter raw scores to get predicted IQ scores and their categories. Prediction results can also be downloaded in the form of a PDF report which can be used as a reference to see the development of a person's IQ score over time. With the results obtained, it is hoped that this research can become an alternative in measuring IQ more efficiently.  \nKeywords: IQ, Machine Learning, SVM, SVR, Prediction.  \nAbstrak  \nPengukuran IQ secara manual sering kali memakan waktu, biaya, dan sumber daya yang besar, serta rentan terhadapkesalahan. Oleh karena itu, penelitian ini bertujuan untuk mengembangkan model prediksi nilai IQ berbasis machine learning agar proses evaluasi dapat dilakukan secara lebih cepat, efisien, dan akurat.Metode yang digunakan dalam penelitian ini mencakup pengumpulan data, preprocessing data, pemilihan dan pelatihan model, serta evaluasi model. Dataset yang digunakan terdiri dari 198 data individu dengan fitur skor mentah sebagai input dan nilai IQ sebagai output. Model dikembangkan menggunakan algoritma Support Vector Machine (SVM) untuk klasifikasi dan Support Vector Regression (SVR) untuk regresi. Evaluasi model dilakukan menggunakan Mean Squared Error (MSE) dan R-Squared (R²) . Hasil penelitian menunjukkan bahwa model memiliki akurasi prediksi sebesar 100%, nilai MSE yang rendah, dan R² sebesar 0.05 . Model ini diimplementasikan dalam bentuk aplikasi web berbasis Streamlit, di mana pengguna hanya memasukkan skor mentah untuk mendapatkan hasil prediksi nilai IQ beserta kategorinya. Hasil prediksi juga dapat diunduh dalam bentuk laporan PDF yang dapat digunakan sebagai referensi untuk melihat perkembangan nilai IQ seseorang dari waktu ke waktu. Dengan hasil yang diperoleh, penelitian ini diharapkan dapat menjadi alt","cbCaisHPk5XuTxUP","https://ap.wps.com/l/cbCaisHPk5XuTxUP","pdf",636765,6,1,"Indonesian","id",113,"# Pendahuluan\n## Kecerdasan intelektual (IQ) dan pentingnya pengukuran\n## Keterbatasan pengukuran IQ manual\n## Pemanfaatan machine learning untuk prediksi IQ\n# Metode Penelitian\n## Pengumpulan dan preprocessing data\n## Pemilihan model (SVM dan SVR)\n## Evaluasi model (MSE dan R²)\n# Implementasi Sistem\n## Aplikasi web berbasis Streamlit\n## Unduh laporan PDF\n# Hasil dan Pembahasan\n## Akurasi, MSE, dan R²","[{\"question\":\"Mengapa pengukuran IQ manual dianggap kurang efisien?\",\"answer\":\"Pengukuran IQ manual memakan waktu, biaya, dan sumber daya yang besar, serta rentan terhadap kesalahan karena membutuhkan campur tangan manusia.\"},{\"question\":\"Model apa yang digunakan untuk prediksi nilai IQ dalam penelitian ini?\",\"answer\":\"Penelitian menggunakan Support Vector Machine (SVM) untuk klasifikasi dan Support Vector Regression (SVR) untuk regresi.\"},{\"question\":\"Bagaimana proses evaluasi model dilakukan?\",\"answer\":\"Evaluasi dilakukan menggunakan Mean Squared Error (MSE) dan R-Squared (R²) untuk menilai kualitas prediksi model.\"}]","Pemodelan Prediksi Nilai IQ Menggunakan Algoritma Machine Learning | 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pengukuran IQ manual dianggap kurang efisien?","Question",{"text":76,"@type":77},"Pengukuran IQ manual memakan waktu, biaya, dan sumber daya yang besar, serta rentan terhadap kesalahan karena membutuhkan campur tangan manusia.","Answer",{"name":79,"@type":74,"acceptedAnswer":80},"Model apa yang digunakan untuk prediksi nilai IQ dalam penelitian ini?",{"text":81,"@type":77},"Penelitian menggunakan Support Vector Machine (SVM) untuk klasifikasi dan Support Vector Regression (SVR) untuk regresi.",{"name":83,"@type":74,"acceptedAnswer":84},"Bagaimana proses evaluasi model dilakukan?",{"text":85,"@type":77},"Evaluasi dilakukan menggunakan Mean Squared Error (MSE) dan R-Squared (R²) untuk menilai kualitas prediksi 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