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All 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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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 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 Baehaqi Farta wijaya, Rian Nurhaliza Sofyan, Siti Oftasari, Ayu Saragih, Juliyandri Susilawati