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All Journal Infotech Journal Jurnal Sistem Informasi dan Sistem Komputer Instal : Jurnal Komputer Bulletin of Information Technology (BIT)
Saputra, Maulian
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Other

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SENTIMENT ANALYSIS OF INDONESIAN COMMUNITY TOWARDS ELECTRIC MOTORCYCLES ON TWITTER USING ORANGE DATA MINING Sitorus, Zulham; Saputra, Maulian; Sofyan, Siti Nurhaliza; Susilawati
INFOTECH journal Vol. 10 No. 1 (2024)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/infotech.v10i1.9374

Abstract

This study explores sentiment analysis of the Indonesian community towards electric motorcycles on Twitter using Orange Data Mining. In the context of the increasing popularity of electric vehicles, especially electric motorcycles, understanding public sentiment becomes crucial for various stakeholders. Twitter, as a leading social media platform, serves as a rich source of opinions and discussions on various topics, including electric motorcycles. This research utilizes Orange Data Mining with multilingual sentiment analysis techniques to analyze the sentiment of the Indonesian community regarding electric motorcycles. The results of sentiment analysis are visualized through box plots and scatter plots, aiming to classify Twitter users based on their emotional responses. The findings of this study provide valuable insights into the sentiment landscape surrounding electric motorcycles in Indonesia, benefiting policymakers, manufacturers, and marketers in understanding public perception and making informed decisions.
Implementation of E-Commerce System as SME Development Strategy in the Digital Era Saputra, Maulian; Susilawati; Nurhaliza Sofyan, Siti; Aulia, Ananda; Ernawati, Andi; Oftasari, Ayu; Farta wijaya, Rian
Bulletin of Information Technology (BIT) Vol 5 No 3: September 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v5i3.1545

Abstract

The implementation of e-commerce systems has become one of the main strategies in the development of Small and Medium Enterprises (SMEs) in the digital era. E-commerce allows SMEs to expand market reach, improve operational efficiency, and strengthen relationships with consumers through better data access. In addition, this digital platform offers benefits such as distribution cost savings, business process automation, and improved customer service. However, challenges in e-commerce adoption for SMEs include limited digital literacy, uneven technology infrastructure, and cybersecurity issues. To achieve the full potential of e-commerce, support from the government and private sector in the form of adequate policies, infrastructure, and training is required. This research aims to identify the benefits, challenges and solutions in implementing e-commerce for SMEs, in order to improve their competitiveness in an increasingly competitive global market.
ANALISIS SENTIMEN PENGGUNA PADA APLIKASI BANK DIGITAL KROM DENGAN ALGORITMA SUPPORT VECTOR MACHINE Saputra, Maulian; Sri Wahyuni
INFOTECH journal Vol. 10 No. 2 (2024)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/infotech.v10i2.11801

Abstract

The rapid development of financial technology has driven the widespread adoption of digital banking applications, including the KROM app, among the public. This study aims to analyze user sentiment toward the KROM Digital Bank application using the Support Vector Machine (SVM) algorithm. User review data was collected from Google Play, then processed through data preprocessing steps such as text cleaning, tokenization, and removing irrelevant words. The SVM algorithm is used to classify user sentiment into positive and negative categories. The results indicate that SVM performs well in classifying user sentiment, with an accuracy of 84,38%. This analysis is expected to provide insights for app developers to improve service quality based on user perceptions and experiences.
Analisis Sentimen Masyarakat Terhadap PON XII Aceh-Sumut Menggunakan Algoritma Naïve Bayes Saputra, Maulian; Iqbal, Muhammad
Jurnal Sistem Informasi dan Sistem Komputer Vol 10 No 1 (2025): Vol 10 No 1 - 2025
Publisher : STIMIK Bina Bangsa Kendari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51717/simkom.v10i1.679

Abstract

Penelitian ini menganalisis sentimen masyarakat terhadap Pekan Olahraga Nasional (PON) XII di Aceh-Sumatera Utara menggunakan algoritma Multinomial Naive Bayes. Data diperoleh melalui crawling media sosial X, kemudian diolah melalui tahap pre-processing yang meliputi pembersihan data, case folding, normalisasi kata, tokenisasi, penghapusan stopword, dan stemming. Sentimen pada data dilabeli menggunakan pendekatan lexicon-based untuk mengklasifikasikan teks menjadi positif dan negatif. Model klasifikasi dibangun menggunakan algoritma Multinomial Naive Bayes, dengan evaluasi kinerja melalui confusion matrix, akurasi, dan classification report. Hasil penelitian menunjukkan bahwa model mencapai akurasi 79,77% pada data uji, memberikan gambaran tentang pandangan masyarakat terhadap PON XII dan membuktikan efektivitas algoritma ini dalam analisis sentimen berbasis teks.
The Designing Registration System and Exam Schedule for Pusat Kegiatan Belajar Masyarakat (PKMB) Business Tips Training Saputra, Maulian; Saragih, Juliyandri; Susilawati
Bahasa Indonesia Vol 15 No 02 (2023): Instal : Jurnal Komputer Periode (Juli-Desember)
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalkomputer.v15i02.140

Abstract

Pusat Kegiatan Belajar Masyarakat (PKBM) Kiat Usaha is a non-formal educational institution that provides learning opportunities for the general public who wish to pursue formal education, especially in preparation for equivalency exams. One of the challenges faced by PKBM Kiat Usaha is managing registration data and exam schedules which are still done manually and inefficiently. Therefore, this research aims to design a web-based registration information system and exam schedule that can simplify and speed up the administration and communication process between prospective students and admin. The method used in this research is the waterfall method which consists of five stages, namely needs analysis, system design, system implementation, system testing, and system maintenance. The result of this research is a web-based registration and exam schedule information system which has features such as online registration, payment confirmation, exam schedule settings, exam results announcements, and student data reports.
The Implementation of the K-Means Clustering Algorithm in Grouping Students Based on Learning Style Using Rapidminer Saputra, Maulian; Saragih, Juliyandri; Susilawati
Bahasa Indonesia Vol 15 No 02 (2023): Instal : Jurnal Komputer Periode (Juli-Desember)
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalkomputer.v15i02.141

Abstract

Learning style is an important factor that influences the effectiveness of individual learning. In this study, data on students' learning style preferences were collected and analyzed using the K-Means Clustering algorithm. The clustering results provide insights into different patterns of learning styles among students. This research assists educators in designing learning strategies that are more tailored to the individual needs of students, thereby enhancing the effectiveness of learning in the educational environment.
Co-Authors Andi Ernawati Aulia, Ananda Daniel Happy Putra Farta wijaya, Rian Muhammad Iqbal Nurhaliza Sofyan, Siti Oftasari, Ayu Saragih, Juliyandri Sitorus, Zulham Sofyan, Siti Nurhaliza Sri Wahyuni Susilawati