Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal Pixel : Jurnal Ilmiah Komputer Grafis Journal of Management and Informatics Jurnal Teknik Informatika dan Teknologi Informasi
Candra Supriadi
Universitas Sains dan Teknologi Komputer
Computer Science & IT Decision Sciences, Operations Research & Management Education

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Enhancing Performance Using New Hybrid Intrusion Detection System Candra Supriadi; Charli Sitinjak; Fujiama Diapoldo Silalahi; Nia Dharma Pertiwi; Sigit Umar Anggono
Journal of Management and Informatics Vol 1 No 2 (2022): Agustus: Journal of management and informatics
Publisher : Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jmi.v1i1.134

Abstract

Intrusion Detection Systems (IDS) are an efficient defense against network attacks as well as host attacks as they allow network/host administrators to detect any policy violations. However, traditional IDS are vulnerable and unreliable for new malicious and genuine attacks. In other case, it is also inefficient to analyze large amount of data such as possibility logs. Furthermore, for typical OS, there are a lot of false positives and false negatives. There are some techniques to increase the quality and result of IDS where data mining is one of technique that is important to mining the information that useful from a large amount of data which noisy and random. The purpose of this study is to combine three technique of data mining to reduce overhead and to improve efficiency in intrusion detection system (IDS). The combination of clustering (Hierarchical) and two categories (C5, CHAID) is proposed in this study. The designed IDS is evaluated against the KDD'99 standard Data set (Knowledge Discovery and Data Mining), which is used to evaluate the efficacy of intrusion detection systems. The suggested system can detect intrusions and categorize them into four categories: probe, DoS, U2R (User to Root), and R2L (Remote to Local). The good performance of IDS in case of accuracy and efficiency was the result of this study.
SISTEM INFORMASI PENGHITUNGAN HASIL PRODUK BERBASIS INTERNET OF THINGS Muhammad Abdul Khalim; Andreas Heri Kurniawan; Candra Supriadi
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 2 No. 1 (2022): April: Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v2i1.369

Abstract

Perkembangan teknologi saat ini sangat pesat, hal ini dapat dibuktikan dengan banyaknya alat-alat yang diciptakan manusia untuk mempermudah dalam kehidupan. Didalam industri berbagai macam pekerjaan dilakukan dengan cepat sehingga dengan counter yang bersifat manual akan menghambat seperti barang-barang.Pada PT. APPAREL ONE INDONESIA untuk menghitung sebuah outputan harus di lakukan dengan manual atau dengan menekan satu persatu, maka dari itu peneliti memecahkan solusi dengan membuat sistem penghitungan barang otomatis berbasis Internet of Things (IoT). Sistem utama dirancang menggunakan Sensor ultrasonik,sensor berat dan Nodemcu esp8266. Dengan metode prototype untuk mensimulasikan sistem ini sebelum di terapkan di lapangan produksi untuk mengetahui cara kerja sistem. Berdasarkan pengujian dengan cara object didekatkan dengan sensor ultrasonik dan berat untuk mengetahui jumlah barang secara otomatis yang dihasilkan setiap harinya, tanpa harus melakukan penghitungan secara manual. Selain penghitungan otomatis, sistem ini juga melakukan penginputan secara otomatis dan data tersebut tersimpan di database
Perancangan Konten Sosial Media Untuk Meningkatkan Brand awareness Kamala Kopi Sekar Lintang Rachmawati; Agus Priyadi; Candra Supriadi
Pixel :Jurnal Ilmiah Komputer Grafis Vol. 18 No. 2 (2025): Pixel :Jurnal Ilmiah Komputer Grafis dan Ilmu Komputer
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/pixel.v18i2.3123

Abstract

The coffee industry in Indonesia is growing rapidly and encouraging coffee shops, including MSMEs, to strengthen their branding strategies through digital media. This study aims to design and evaluate Instagram social media content to increase brand awareness of Kamala Kopi, a local coffee shop in Gunungpati, Semarang. The method used is the Multimedia Development Life Cycle (MDLC) with stages of concept, design, material collection, assembly, testing, and distribution. The content produced consists of music videos, promotional posters, and menu visuals, which were then tested through internal and external validation, as well as a questionnaire administered to 68 respondents. The research results showed a positive and significant influence of Instagram content on brand awareness of 1.007 with a coefficient of determination of 90.4%. These findings confirm that content on Instagram social media plays an important role in strengthening the visibility of SME brands and can be an effective strategy to increase brand awareness.
Co-Authors Agus Priyadi Fujiama Diapoldo Silalahi Kurniawan, Andreas Heri Muhammad Abdul Khalim Nia Dharma Pertiwi Sekar Lintang Rachmawati Sigit Umar Anggono Sitinjak, Charli