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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Pengabdian kepada Masyarakat Nusantara
Baskara Nugraha, I Gusti Bagus
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Social Sciences

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A novel framework for analyzing internet of things datasets for machine learning and deep learning-based intrusion detection systems Arief, Muhammad; Gunawan, Made; Septiadi, Agung; Wibowo, Mukti; Pragesjvara, Vitria; Supriatna, Kusnanda; Satriyo Nugroho, Anto; Baskara Nugraha, I Gusti Bagus; Supangkat, Suhono Harso
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i2.pp1574-1584

Abstract

To generate a machine learning (ML) and deep learning (DL) architecture with good performance, we need a decent dataset for the training and testing phases of the development process. Starting with the knowledge discovery and data mining (KDD) Cup 99 dataset, numerous datasets have been produced since 1998 to be utilized in the ML and DL-based intrusion detection systems (IDS) training and testing process. Because there are so many datasets accessible, it might be challenging for researchers to choose which dataset to employ. Therefore, a framework for evaluating dataset appropriateness with the research to be conducted is becoming increasingly crucial as new datasets are regularly created. Additionally, given the growing popularity of internet of things (IoT) devices and an increasing number of specific datasets for IoT in recent years, it is essential to have a specific framework for IoT datasets. Therefore, this research aims to develop a new framework for evaluating IoT datasets for ML and DL-based IDS. The study's findings include, first, a novel framework for assessing IoT datasets, second, a comparison of this novel framework to other existing frameworks, and third, an analysis of five IoT datasets by using the new framework.
Peningkatan Value Added Sentra Kerajinan Tenun Ikat Endek dengan Penerapan Smart Ecodigital Purnamawati, I Gusti Ayu; Herliyani, Elly; Jiwa Permana, Agus Aan; Baskara Nugraha, I Gusti Bagus; Pranadi Sudhana, I G P Fajar
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 5 No. 4 (2024): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN) Edisi September - Desembe
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v5i4.4584

Abstract

Desa Gelgel, Klungkung, Bali, dikenal sebagai sentra kerajinan tenun ikat endek, namun para pengrajin menghadapi tantangan dalam meningkatkan nilai tambah produk dan mengelola usaha secara efektif. Tujuan pengabdian masyarakat ini adalah untuk meningkatkan nilai tambah produk kerajinan melalui penerapan smart ecodigital dan sistem akuntansi terintegrasi, sehingga para pelaku UKM dapat menjadi lebih mandiri. Metode yang digunakan meliputi pendekatan partisipatif, sesi pelatihan teori dan praktik, serta pendampingan individu untuk penerapan teknologi dan manajemen keuangan. Hasil kegiatan menunjukkan peningkatan pemahaman peserta tentang nilai tambah, dengan 80% peserta menyatakan memahami konsep tersebut secara lebih baik. Sekitar 70% peserta mulai mengadopsi perangkat lunak akuntansi dan memanfaatkan media sosial untuk pemasaran produk. Selain itu, 65% peserta berhasil menerapkan sistem akuntansi yang lebih terstruktur, meningkatkan transparansi dan akuntabilitas usaha mereka. Kegiatan ini memberikan dasar yang kuat untuk keberlanjutan usaha kerajinan di Desa Gelgel dan diharapkan mendorong pengrajin untuk terus mengembangkan keterampilan serta meningkatkan daya saing produk mereka di pasar.
Co-Authors Agus Aan Jiwa Permana Arief, Muhammad Elly Herliyani Gunawan, Made I Gusti Ayu Purnamawati Mukti Wibowo Pragesjvara, Vitria Pranadi Sudhana, I G P Fajar Satriyo Nugroho, Anto Septiadi, Agung Suhono Harso Supangkat Supriatna, Kusnanda