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All Journal Jurnal Informatika Jurnal Pendidikan Geografi Undiksha Jurnal Manajemen Teknologi Tunas Geografi Media Komunikasi Geografi Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) JURNAL SPASIAL Sistemasi: Jurnal Sistem Informasi Journal of Applied Geospatial Information SINTECH (Science and Information Technology) Journal JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi CCIT (Creative Communication and Innovative Technology) Journal Journal of Information System,Graphics, Hospitality and Technology Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Journal of Information Systems and Informatics Jurnal Sistem Informasi dan Informatika (SIMIKA) Journal of Innovation and Future Technology (IFTECH) Jurnal Mnemonic JATI (Jurnal Mahasiswa Teknik Informatika) JURNAL GEOGRAFI Geografi dan Pengajarannya Jurnal Perangkat Lunak Journal of Information Technology Ampera Journal of Computer and Information Systems Ampera Buletin Poltanesa KLIK: Kajian Ilmiah Informatika dan Komputer Humantech : Jurnal Ilmiah Multidisiplin Indonesia INOVTEK Polbeng - Seri Informatika JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia)
Frederik Samuel Papilaya
Universitas Kristen Satya Wacana
Religion Agriculture, Biological Sciences & Forestry Arts Astronomy Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Library & Information Science Physics Public Health Social Sciences Other

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Perancangan Aplikasi E-Commerce Menggunakan Cloud Computing dan Arsitektur Severless Lambda Santoso, Liem Margareth; Papilaya, Frederik Samuel
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 2 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No2.pp155-163

Abstract

E-commerce applications are one area that continues to develop rapidly in the digital industry. The use of cloud computing and serverless lambda technology has provided many advantages in developing and managing e-commerce applications. However, the need for flexibility, scalability, and operational efficiency is increasingly driving the adoption of serverless architecture as an approach to building adaptive and cost-effective e-commerce applications. The app allows sellers to market products, take orders, and manage inventory efficiently, while customers can easily browse the product catalog, add items to their shopping cart, and complete checkout. Through performance analysis and evaluation, we show that the serverless Lambda architecture is capable of automatically providing scalability according to application traffic requirements. Additionally, a serverless approach also reduces the burden of infrastructure administration, allowing developers to focus on developing features and functionality that have a direct impact on the user experience.
Electric Vehicle Sentiment Analysis Using a Comparison of Naïve Bayes and Support Vector Machine Faizah Dian Herawati; Frederik Samuel Papilaya
JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) Vol. 11 No. 1 (2026): JUSTINDO
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/justindo.v11i1.5026

Abstract

The development of electric vehicles in Indonesia has sparked various opinions from the public, which are often shared on social media, especially X. These opinions need to be analyzed to understand how the public views the policies and implementation of environmentally friendly vehicles. This study aims to examine public sentiment toward electric vehicles by comparing two types of text classification algorithms, namely Naïve Bayes and Support Vector Machine (SVM), using the Term Frequency–Inverse Document Frequency (TF-IDF) approach. The data used is Indonesian-language tweets collected through a crawling process, which then undergoes several pre-processing stages such as cleaning, case folding, normalization, tokenizing, stopword removal, and stemming. After that, the data was labeled for sentiment into three categories: positive, negative, and neutral, before being processed using a classification algorithm. To evaluate the model's performance, a confusion matrix was used, which shows the algorithm's performance based on accuracy, precision, recall, and F1-score values. The research results show that the Naïve Bayes algorithm has better results with an accuracy of 92%, while SVM achieves an accuracy of 76%. Therefore, the Naïve Bayes algorithm is considered more suitable for analyzing the sentiment of tweets related to electric vehicles in Indonesia.
Co-Authors Aditya Pranata Wibowo Agustinus Fritz Wijaya Andreas Tunggono Cassandra, Chris Danny Manongga Dennis Christian Tallo Devara Liko Ivander Dian Oktaviani Dwi Agung Wicaksono, Dwi Agung Wicaksono Faizah Dian Herawati Fevrierdo Nathaniel Shanahan Pradana Florensia, Florensia Fransisca Harnawan Nurul Asna Hernanda, Dava Putra Jeremi Yohanes Mocodompis Johan Jimmy Carter Tambotoh Josef Allen Kaleo, Anshelmo Christopher Leta, Ivena Leoma Mahardika, Adrian Wisnu Mahersy Bobode Marboles Kundrat Marcelino, Kevin Michael Bezaleel Wenas Monika Prianti Natan Nael Neti Triana Oktovio Metusael Kenspasio Kapoh Olivia, Kristiana Pandhu Kanantyo Penidas Fodinggo Tanaem Pinatik, Noversa Yafet Pransiska Ropi Prelin Leunupun Rafsanjani, Mohammad Alifian Riska Vennithasari Sanggup, Salmon Santoso, Liem Margareth Satria Wirabuana Selfiana Pandie Theodorus Deventer Rihulay Titan Kurniawan Vincent Sapakoly Wahyudi, Irawan Parulian Wibowo, Aditya Pranata Wilda Vallensia Latupeirissa