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Journal : Jurnal Informatika

Optimization of Human Development Index in Indonesia Using Decision Tree C4.5, Support Vector Machine Algorithm, K-Nearest Neighbors, Naïve Bayes, and Extreme Gradient Boosting Ramadhan, Ilham; Budiman, Budiman; Alamsyah, Nur
Jurnal Informatika Vol. 12 No. 1 (2025): April
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/informatika.v12i1.12253

Abstract

The Human Development Index (HDI) is a measure of human development achievement based on quality of life indicators such as Life Expectancy (LE), Mean Years of Schooling (MYS), Expected Years of Schooling (EYS), and Adjusted Per Capita Expenditure (AECE). HDI describes how people access development outcomes through income, health, and education. The determination of development programs implemented by local governments must be based on district/city priorities based on their HDI categories and must be right on target. Therefore, a decision system is needed that can accurately determine the HDI category in each district/city in Indonesia, using machine learning models such as Decision Tree C4.5, Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Naïve Bayes, and Extreme Gradient Boosting (XGBoost). Machine learning models will be used to classify the HDI in Indonesia in 2022 and determine the performance of the most optimal model in classification. This research uses the CRISP-DM method with secondary data from the Central Statistics Agency (BPS) as much as 548 data. The analysis results show that the Decision Tree C4.5 models have an accuracy of 0.86, KNN of 0.95, Naïve Bayes of 0.90, XGBoost of 0.93, and SVM provides the most optimal results with an accuracy of 0.97. UHH, RLS, and HLS variables significantly influence changes in HDI values in Indonesian regions based on the Chi-square, Pearson Correlation, Spearman, and Kendal test results. 
Digital Marketing Strategy Optimization Using Support Vector Machine Algorithm AlFauzi, Ihsan; Budiman, Budiman; Alamsyah, Nur
Jurnal Informatika Vol. 12 No. 1 (2025): April
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/informatika.v12i1.12257

Abstract

Information and communication technology (ICT) is essential in rapidly disseminating information. This research discusses the influence of ICT use in marketing promotions through TV, radio, and social media and compares the performance of several classification algorithms in processing the promotion data. The dataset is from Kaggle, with promotional attributes on TV, radio, and social media. The Cross-Industry Standard Process for Data Mining (CRISP-DM) is used. Algorithms tested include Naive Bayes, K-Nearest Neighbor, Support Vector Machine (SVM), Random Forest, and XGBoost. The results showed that SVM had the best performance with 80% accuracy, followed by KNN (79%), Naive Bayes (77%), XGBoost (77%), and Random Forest (76%). SVM provided the most accurate and consistent predictions in marketing promotion classification. This research concludes that the optimal utilisation of ICT and the application of appropriate classification algorithms can increase the effectiveness of marketing promotions in the digital era.
Co-Authors AA Sudharmawan, AA Abadi, Ahmad Fajar Abdul Wahid Abdurrafi, Amzad Fachrozi Adha, Fajrul Aditya, Muhammad Fathur Agus Darmawan Ahsan, Laode Muhammad Fahrizal Aidina Ristyawan, Aidina Ainul Uyuni Taufiq, Ainul Uyuni Aji Gautama Putrada Alamsyah, R Yadi Rakhman AlFauzi, Ihsan Alhidayatuddiniyah T.W. Aminudin, Rosihan Andi Muh Akbar Saputra ANDIKA SAPUTRA Ariani, Alma Aruan, Meri Chrismes Aulia Ar Rakhman Awaludin Baharuddin Baharuddin Bilqist, Dhiya Waffa Putriana Budiman Chandra, Herry Adi Danestiara, Venia R Efendy, Yusril Eka Damayanti Erna Daniati Erpurini, Wala Fachry Abda El Rahman Fadhli, Raihan Farhan Gagat Retnanto Fauzan, Mohamad Nurkamal Fauzi Ahmad Muda Fauziyah, Dina Fuad, Adam Gatot Wijayanto H.M, Nurul Fadhilah Halimah Basri Hardian Mursito Hariani Hariani, Hariani Hartono Hartono Henny Suharyati Hermila A Ibrahim . Ikhwani, Yusri Ikke Dian Oktaviani Ilham Ramadhan Imam Himawan Imran, Muh Chairil Indra Farman Jamilah Jamilah Junaedy Junaedy Kamal Kamal Kamal, Kamal Karyaliga, Safitra Kaunang, Valencia Claudia Jennifer Khowais, Siti Jamiul Lukman, Luky Lukmanul Hakim M, Ardi M, Saripuddin Makmur, Muzammil Mega, Dian Asri Unga Muflih, M Muflih, M. Muhammad Muhsar, Muhammad Muhiddin Palennari Muliyani, Nani Mutawakkiliin, Syifa’ul Alif Nabiya, Dinda Salmi Nasution, Arief Rahiez Nazahah, Niswah Kaifa Nonci, Sukirman Nur Afni Nur Hayati Nuraisyah Nuraisyah Nurkamal Fauzan, Mohamad Nurlaela Safitri Pujiyanto, Agung Putra, Fadhlih Girindra Putri, Tiara Ananda Delisa Raharjo, Mokhamad Ramdhani Rahma Ashari Hamzah Rahman Rahman, Muhammad Saidi Rahmi Pinahayu, Ek Ajeng Ramadhan, Lucky Rasyidan, Muhammad Ratna, Silvia Reni Nursyanti Ridho, Ihda Innar Rika Agustina, Rika Roem, Muhamad Rohman, Muhammad Rosadi, Muhammad Edya Rosmiati Rosmiati Rusman Rusman Samudin, Supardi Saputra, Andi. Muh. Akbar Saputri, Anisatia Setiana, Elia Sohrah Sohrah, Sohrah SRI RAHAYU Syiarul Amrullah, Muhammad Tandililing, Welly Taufik, Ashabul Titan Parama Yoga Tri Widayati Wagino Wibawanti, Yuni Wijaya, Yusup Indra Yunus, Syarifudin