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Journal : Journal of Applied Data Sciences

Analysis Of Product Recommendation Models at Each Fixed Broadband Sales Location Using K-Means, DBSCAN, Hierarchical Clustering, SVM, RF, and ANN Trianasari, Nurvita; Permadi, Thifan Anjar
Journal of Applied Data Sciences Vol 5, No 2: MAY 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i2.210

Abstract

The telecommunications industry proliferates in the digitalization era, especially Fixed Broadband services. Fast and stable internet access is essential, especially at sales locations with appropriate products. This research aims to develop an optimal product recommendation model for each sales location, using machine learning with a mixed method approach, with a combination method of clustering and classification, where the clustering method is used for the geographic segmentation stage. Then, the results of each cluster from the geographic segmentation are used as input for the classification method, which is a stage called sales forecasting. Next, the performance analysis measured the accuracy level of each combination of models. The best model combines clustering and classification models, which, on average, across all clusters, gives the best accuracy value. The data used in this research is GIS-based POI data and sales history data, which is internal data from a telecommunications company in Indonesia. From the tests carried out in this research, the best model combination is the K-Means and the Random Forest models, with an accuracy value of 82.08%. Meanwhile, the lowest performance resulted from a combination of the K-Means and ANN models with an accuracy value of 79.50%. With an average combination model performance above 80%, this research shows that using mixed methods with clustering and classification can provide valuable insights in subsequent research, especially in the context of the telecommunications industry, especially in fixed broadband services.
Co-Authors Abdul Rahman La Ede Achmad Manshur Ali Suyanto Achmad, Muhammad Aqirah Adhi Prasetio Ahnaf, Muhammad Farrel Amalia, Gina Ilma Amin, Muhammad Khoirurizal Anggreini, Nadyya Aqsha, Muhammad Rivaldi Ardio Sagita Arief, Rafly Mochamad Arjun Dhuan Pambayu Arya, Tommy Athallah Naufal, Muhammad Aulia Ferina Sendhitasari Aulia Ferina Sendhitasari Azlia Tiara Putri Bagaskara, Monica Budhiana, Johan Bunga Aisyah Ravissangeta Yansari Candiwan Cliffadika Aqshal Winata Purba Deannes Isynuwardhana Dedi Iskamto Dian Marta Sari Dian Puteri Ramadhani Eky Novrizon Elly Suryani Eris Dianawati Eva Nurhazizah Farida Titik Kristanti Fathimatuz, Zahra Fatih Adiyatma, Muhammad Fawwaz, Rifki Baihaqi Febrianta, Mochammad Yudha Fitriani, Nadya Hasnabillah, Tazkia Heppy Millanyani Ilmanizar, Moch Syahdan Izzah, Fina Nailatul Ken Dheanis Adhine Salsabila Kharisma, Mita Kusumajaya, Zulkifli Tri lestari, intan ayu Maria Sugiat Monica Irene Putri Bagaskara Nadia Salsafira Nadino Rinaldi, Muhammad Adrian Daffa Navila, Yuniar Saidatul Qisan Nurul Novtiana Sabilah Orizaceta, Daffanda Pahlevi, Aqshel Reza Paramita, Ika Ayu Paripurna, Yoga Permadi, Thifan Anjar Prananta, Marietta Shanti Puspita Kencana Sari Puspitasari, Cinthya Dwi Cahyani Rachawati, Indira Rafiansyah, Muhammad Rafsanjani, Ali Akbar Raziqan, Rifqi Resky Ramadhani Riski Taufik Hidayah Rizky Fernando Rosliana Dewi Ruri Octari Dinata Sabella, Ressa Yolanda Saffanah, Azka Santoso, Patricia Helena Christiani Sendhitasari, Aulia Ferina Sonia Cipta Wahyurini Sri Rahayu Sulthan Rafi Arissaputra Soebandono Symisius Lintang Ranataru Wianadhira Nur Hasna Wijaya, Laurentia Cindy Gani Yusza Reditya Murti