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All Journal Prosiding National Conference for Community Service Project Conference on Management, Business, Innovation, Education and Social Sciences (CoMBInES)
Eric Sanjaya
Universitas Internasional Batam
Aerospace Engineering Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Social Sciences Other

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Perancangan dan Implementasi Website Company Profile di Orions Box Indonesia Diny Anggraini Adnas; Eric Sanjaya
National Conference for Community Service Project (NaCosPro) Vol 5 No 1 (2023): The 5th National Conference for Community Service Project 2023
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/nacospro.v5i1.8084

Abstract

Perkembangan teknologi mendorong perusahaan untuk memiliki company profile sebagai media penyebaran informasi seputar produk dan membangun sebuah brand image perusahaan. Penelitian ini bertujuan untuk merancang dan mengembangkan company profile berbasis web untuk Orions Box Indonesia dengan menggunakan metode SDLC waterfall. Melalui pengumpulan data dan analisis kebutuhan, serta pengembangan dengan menggunakan bahasa pemrograman PHP, berhasil dirancang sebuah company profile yang berisi informasi Orions Box Indonesia. Pengujian menggunakan black-box testing menunjukkan bahwa aplikasi berjalan dengan baik dan siap digunakan. Hasil evaluasi menunjukkan penerimaan mitra yang positif terhadap company profile yang dirancang. Dengan adanya company profile berbasis web, diharapkan Orions Box Indonesia mampu meluaskan jangkauan klien dan mendorong pertumbuhan bisnis mereka.
Design of a Video Game Review System Using Naïve Bayes Algorithm Diny Anggraini Adnas; Eric Sanjaya
CoMBInES - Conference on Management, Business, Innovation, Education and Social Sciences Vol. 4 No. 1 (2024): The 4th Conference on Management, Business, Innovation, Education and Social Sc
Publisher : Universitas Internasional Batam

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Abstract

The rapid development of the technology marks the emergence of social medias. Collaboration, two-way communication, and friendships with other social media users are facilitated through functions such as comments (comment/retweet) and likes or dislikes. This research aims to examine how video game reviews are perceived within a system based on data obtained from Kaggle. Data mining processes will be conducted using machine learning methods, specifically the Naïve Bayes Classifier algorithm. This classification method is based on probability and Bayes' theorem, assuming attribute independence. The research results indicate that the use of Naïve Bayes shows a significance level of 0.46%.
Co-Authors Diny Anggraini Adnas