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All Journal Jurnal Media Infotama GEMBIRA (Pengabdian Kepada Masyarakat)
Ridho Ikram
Universitas Muhammadiyah Bengkulu
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Law, Crime, Criminology & Criminal Justice Social Sciences

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PENERAPAN ALGORITMA ADVANCED ENCRYPTION STANDARD (AES) DALAM PEMBUATAN APLIKASI INVENTARIS LAB FT UMB Ridho Ikram; Eri Yulian Hidayat; Yoga Muhamad Aryanto; Purwanto Hidayat Syaputra; Harry Witriyono
Jurnal Gembira: Pengabdian Kepada Masyarakat Vol 1 No 02 (2023): APRIL 2023
Publisher : Media Inovasi Pendidikan dan Publikasi

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Abstract

Universitas Muhammadiyah Bengkulu adalah perguruan tinggi swasta yang berada di Kota Bengkulu, Indonesia, yang berdiri pada tanggal 20 Juni 1991. Pada penelitian ini akan dibahas mengenai pengelolaan inventaris barang yang ada di laboratorium komputer Fakultas Teknik Universitas Muhammadiyah Bengkulu. Dalam pengelolaannya selama ini, terdapat beberapa masalah yang terjadi didalam proses pendataan barang dan laporan barang yang masih dilakukan dengan cara manual yakni dengan mencatat di buku kemudian dimasukan ke dalam microsoft excel. Cara tersebut dapat menyebabkan resiko kehilangan data, karena data hanya disimpan dalam buku serta file excel. Tujuan dari penelitian ini adalah membangun sebuah aplikasi inventrais yang diharapkan dapat meningkatkan kualitas pengelolaan data sehingga memudahkan kepala laboratorium dalam mengelola barang inventaris di laboratorium komputer. Sistem informasi dibangun dengan menggunakan bahasa pemrograman PHP dengan keamanan AES. Hasil penelitian ini yaitu Berhasil membuat aplikasi inventaris yang dapat mengimplementasikan keamanan AES, serta memiliki tampilan yang menarik.  
Penerapan Metode Naïve Bayes dalam memprediksi Peluang Kerja untuk Penyandang Disabilitas Yuliadarnita Yuliadarnita; Ridho ikram; Rozali Toyib
Jurnal Media Infotama Vol 21 No 1 (2025): April 2025
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i1.7577

Abstract

The right to get a job is a right that is owned by all members of Indonesian society, including those with disabilities. This has been regulated in the constitution, but the opportunities for individuals with disabilities to get a job are much less than the wider community. Those with disabilities often have difficulty finding work because many companies do not take them into account, assuming that people with disabilities cannot contribute well because of the limitations they have. The Naive Bayes method has several advantages, such as the simplicity of the model, but can still compete with other algorithms. The test results if the value of the calculation is 100% then people with disabilities can work in that job and if the value is less than 100% then people with disabilities cannot work in that job, the calculation results from the table can be concluded that the predicted jobs for people with disabilities are: Tailors (K4), Graphic designers (K5), and Archivists (K6), The application process is also not too complicated, very suitable for assessing conditional probability, and very fast because the probability can be calculated directly. The speed in training this model is very high, especially if the conditional independence assumption is met, it can be sure to produce good performance, but its main drawback is that it requires the condition that all predictors are independent.
Co-Authors Eri Yulian Hidayat Harry Witriyono Purwanto Hidayat Syaputra Toyib, Rozali Yoga Muhamad Aryanto yuliadarnita yuliadarnita