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All Journal IJCOSIN : Indonesian Journal of Community Service and Innovation Jurnal Ilmiah Teknik Informatika dan Komunikasi Managing: Jurnal Bisnis dan Manajemen
Hafidz Ubaidillah
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Agriculture, Biological Sciences & Forestry Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Languange, Linguistic, Communication & Media Social Sciences Other

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Peningkatan Pemahaman Implementasi Data Mining bagi Siswa SMK Dharma Wanita Gresik Farhanna Mar'i; Nadya Husenti; Choridatul Bahiyyah; Hafidz Ubaidillah
Indonesian Journal of Community Service and Innovation (IJCOSIN) Vol 2 No 2 (2022): Juli 2022
Publisher : LPPM IT Telkom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (403.178 KB) | DOI: 10.20895/ijcosin.v2i2.615

Abstract

Seiring berkembangnya teknologi informasi pada revolusi industri 4.0 diperlukan teknik implementasi Data Mining untuk menggali pengetahuan pada data untuk dapat dimanfaatkan sebaik-baiknya. Pengenalan implementasi Data Mining pada siswa SMK khususnya pada jurusan Rekayasa Perangkat Lunak (RPL) sangat penting untuk dilakukan untuk membekali siswa tentang implementasi Data Mining pada proses perancangan Aplikasi. Berdasarkan hasil wawancara yang dilakukan oleh tim Pengabdian Kepada Masyarakat (PKM) Program Studi Teknik Informatika Universitas Muhammadiyah Gresik dengan pihak SMK Dharma Wanita Gresik khususnya di kelas XII jurusan Rekayasa Perangkat Lunak diketahui bahwa siswa belum pernah diberikan pembekalan ilmu mengenai implementasi Data Mining. Sehingga kegiatan peningkatan pemahaman implementasi Data Mining pada siswa SMK Dharma Wanita Gresik khususnya pada Jurusan Rekayasa Perangkat Lunak dilakukan dengan cara melakukan sosialisasi ilmu Data Mining disertai dengan pelatihan mengenai penggunaan salah satu tools Data Mining yaitu Rapid Miner. Adapun hasil yang tercapai dari kegiatan PKM ini adalah adanya peningkatan pemahaman dan kemampuan siswa SMK Dharma Wanita Gresik jurusan Rekayasa Perangkat Lunak mengenai Data Mining dan teknik implementasinya pada data nyata yang diukur menggunakan post test.
Sistem Pengenalan Wajah pada Sistem KYC dengan Algoritma Local Binary Pattern Histogram Hafidz Ubaidillah; Henny Dwi Bhakti
Jurnal Ilmiah Teknik Informatika dan Komunikasi Vol. 4 No. 1 (2024): Maret : Jurnal Ilmiah Teknik Informatika dan Komunikasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juitik.v4i1.754

Abstract

With the increasing internet usage post-pandemic, ensuring the security of a fintech application becomes imperative. Bangbeli implements KYC procedures using facial recognition technology and stringent security protocols to verify identities and safeguard users' personal data in compliance with Bank Indonesia regulations. Utilizing Haar Cascade Classifier, Local Binary Pattern Histogram, and histogram equalization, an API (Application Programming Interface) has been created for facial training and prediction. These methods were chosen for their credibility, achieving an 88% accuracy with 33 samples and 90% with 10 samples. This study focuses on constructing an API for mobile services at Bangbeli, achieving 87.5% accuracy, 81.25% precision, 87.5% recall, and a 25% error rate. The model demonstrates good performance in facial recognition, with an acceptable error rate. Although precision is slightly lower than recall, it suggests the model is more inclined to identify most positive data with some errors rather than discard potentially identifiable faces.
Analysis of E-Commerce Usage for Micro, Small, and Medium Enterprises (MSMEs) Jennatul Ma’wa; Hafidz Ubaidillah; Abu Lukman; Mashudi
Managing: Jurnal Bisnis dan Manajemen Vol. 2 No. 2 (2025)
Publisher : Penerbit Hellow Pustaka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61166/managing.v2i2.38

Abstract

The development of information technology has brought significant changes across various sectors, including Micro, Small, and Medium Enterprises (MSMEs) in Indonesia. One of the key innovations driving this transformation is e-commerce, which enables MSMEs to expand their market reach and improve operational efficiency. This article aims to explore the impact of e-commerce adoption on MSMEs in Indonesia through a qualitative approach based on the latest literature review. The analysis results indicate that the use of e-commerce provides various benefits, such as increased market access, reduced operational costs, and higher revenue for MSMEs. However, there are several challenges that still persist, including low digital literacy, limited infrastructure, and data security issues. Therefore, synergy between the government, industry players, and educational institutions is required to enhance the digital capabilities of MSMEs, ensuring that the potential of e-commerce can be optimally utilized.
Co-Authors Abu Lukman Choridatul Bahiyyah Henny Dwi Bhakti Jennatul Ma’wa Mar'i, Farhanna Mashudi Nadya Husenti