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All Journal Jurnal Sains dan Teknologi Jurnal Informatika dan Teknik Elektro Terapan Infotech Journal Sinkron : Jurnal dan Penelitian Teknik Informatika RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL INSTEK (Informatika Sains dan Teknologi) METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jurnal Informatika Universitas Pamulang INTECOMS: Journal of Information Technology and Computer Science IJISTECH (International Journal Of Information System & Technology) JURIKOM (Jurnal Riset Komputer) KOMPUTEK Jurnal Equity Technologia: Jurnal Ilmiah Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Informasi dan Teknologi Prosiding National Conference for Community Service Project Cakrawala Repositori Imwi Jurnal Teknologi Informasi dan Komunikasi Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) IJISTECH Journal of Applied Data Sciences Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) INSERT: Information System and Emerging Technology Journal Telcomatics KLIK: Kajian Ilmiah Informatika dan Komputer Conference on Management, Business, Innovation, Education and Social Sciences (CoMBInES) Conference on Community Engagement Project (Concept) Conference on Business, Social Sciences and Technology (CoNeScINTech) Madani: Jurnal Pengabdian Masyarakat dan Kewirausahaan SmartComp Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer INOVTEK Polbeng - Seri Informatika Equity
Christian, Yefta
Universitas Internasional Batam
Aerospace Engineering Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Mechanical Engineering Social Sciences Other

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Journal : JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING

 1 
Comparison of Machine Learning Algorithms Using WEKA and Sci-Kit Learn in Classifying Online Shopper Intention Christian, Yefta
JITE (JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING) Vol 3, No 1 (2019): EDISI JULI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (906.727 KB) | DOI: 10.31289/jite.v3i1.2599

Abstract

The growth of online stores nowadays is very rapid. This is supported by faster and better internet infrastructure. The increasing growth of online stores makes the competition more difficult in this business field. It is necessary for online stores to have a website or an application that is able to measure and classify consumers? spending intentions, so that the consumers will have eyes on things on the sites and applications to make purchases eventually. Classification of online shoppers? intentions can be done by using several algorithms, such as Naïve Bayes, Multi-Layer Perceptron, Support Vector Machine, Random Forest and J48 Decision Trees. In this case, the comparison of algorithms is done with two tools, WEKA and Sci-Kit Learn by comparing the values of F1-Score, accuracy, Kappa Statistic and mean absolute error. There is a difference between the test results using WEKA and Sci-Kit Learn on the Support Vector Machine algorithm. Based on this research, the Random Forest algorithm is the most appropriate algorithm to be used as an algorithm for classifying online shoppers? intentions.
Comparison of Machine Learning Algorithms Using WEKA and Sci-Kit Learn in Classifying Online Shopper Intention Yefta Christian
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 3, No 1 (2019): EDISI JULI
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v3i1.2599

Abstract

The growth of online stores nowadays is very rapid. This is supported by faster and better internet infrastructure. The increasing growth of online stores makes the competition more difficult in this business field. It is necessary for online stores to have a website or an application that is able to measure and classify consumers’ spending intentions, so that the consumers will have eyes on things on the sites and applications to make purchases eventually. Classification of online shoppers’ intentions can be done by using several algorithms, such as Naïve Bayes, Multi-Layer Perceptron, Support Vector Machine, Random Forest and J48 Decision Trees. In this case, the comparison of algorithms is done with two tools, WEKA and Sci-Kit Learn by comparing the values of F1-Score, accuracy, Kappa Statistic and mean absolute error. There is a difference between the test results using WEKA and Sci-Kit Learn on the Support Vector Machine algorithm. Based on this research, the Random Forest algorithm is the most appropriate algorithm to be used as an algorithm for classifying online shoppers’ intentions.
Predicting Consumer Interest in All You Can Eat Restaurants with Gradient Boosting Algorithm Yefta Christian
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol 6, No 1 (2022): Issues July 2022
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v6i1.7209

Abstract

The rise of businesses in the food industry makes industry players think creatively. One of the trends in this industry is the “All You Can Eat” restaurant with its various variations. This type of restaurant is considered capable of being an attraction for consumers because consumers can eat every dish as much as they want without a limit on the amount. However, it is difficult to map out the factors that make consumers want to come back to the restaurant. This research will build a web application with machine learning features using the Gradient Boosting algorithm that can map whether consumers will come back or not, so that restaurant businesses can use this application to continuously improve the performance of their restaurants.
Co-Authors Agus Yanto Alvin Matthew Pratama Amir Amir Amir Amir Andik Yulianto Arbiwijaya Kwek Brohns Jaffrey Calvin Wijaya Capricornness, Vincent Cen, Andrew Chris Tan Chris Tan Cindy Juliandry Claudia Theophilia Denissa Denissa Denny Alfath Dewi A. Chandra Edi Yanto Elvinlee Eric Eric Eric Eric Pranata Eric, Eric Erline, Meiliverani Estrada, Yuki Fauzi, Muhammad Al Felix Filbert Ferdinand William Fiona Vinelia Fionna Quinn Frenda Ang Germent Basri Gracella Tandiono Gumolung, Randy Gumolung, Randy Heskyel Hannuella, Albert Ricardo Hansvirgo Hansvirgo Hansvirgo Hansvirgo, Hansvirgo Hendi Sama Hengky Hengky Heri Heri Herman Herman Herman Herman Herman Huang, Suryani Jacky Jacky Janata, Adit Afandi Jeny Jeny Jerry Jerry Jerry, Jerry Jeslyn Teo Jesselyn Jesselyn Jevin Leon Jimmy Jimmy Joana Stefhanie Saliama Jonathan Jonathan Julia Christini Katherine Oktaviani Yap Rui Qi Katherine Oktaviani Yap Rui Qi Kelvin Aryesryo Kelvin Kelvin Kelvin Kelvin Kevin Kevin Kurnia, Ahmad Dhani Kurt Juriant Tan Lenny Julyanti Lusiana Lusiana Lyawati, Mercy Marcellino Marcellino Marvin Christian Meiliverani Erline Michael Michael Michelle Febri Soegianto Moh Fariq Aziz Muhammad Jufri Muhammad Yusuf Zhafran Mungkap Mangapul Siahaan Musfiza, Efelito Hayat Nanda Silvia Sovitasari Nicholas Jeonanto Nicky adi putra Nico Dwi Putra Olwin Olwin Pratama, Sendi Ari Putra Agung Winata Putra Agung Winata Raden Mohamad Herdian Bhakti Rara Tri Kencana Ricardo Hannuella, Albert Ricky Rickena Exendy Ricky Ricky Ridho Kurnia Rizki Alamsyah Robin Robin Ronny Triputra Ronny Triputra. AM Sama, Hendi Sandy Tio Sani Kurnia Santo Tjiam Sonia, Monica Stevantinus Stevantinus Steven Steven Suryani Huang Suwarno Suwarno Liang Suwarno Suwarno Tina Rani Tony Jack Tan Ding Tony Wibowo, Tony Utari Afnesia Utomo, Kevin Saputra Valencia Valencia Vani Andini Veithzal Rivai Zainal Vendryan Vendryan Vigho raziansyah Vincent Gonawan Vincent Wijaya Vincent Wijaya Vira Vira Vivy Valentine Wibowo, Tony Wijaya, Vincent Winardo, Jesen Wiwik Handayani Yanto Yanto Yoputra, Keaton Yulianto, Andik Yusuf Yusuf Yusuf