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yuliadarnita, yuliadarnita
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Aplikasi Absensi Kantor Camat Muara Sahung Kabupaten Kaur Provinsi Bengkulu Menggunakan QR Code dan Algoritma Squential Search Pencarian Data Pegawai yuliadarnita, yuliadarnita; Miadsyah, Muhammad; Toyib, Rozali
Jurnal Media Infotama Vol 18 No 2 (2022): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v18i2.2707

Abstract

Dalam kesehariannya para pegawai di kantor kecamatan masih banyak yang sering datang terlambat, oleh karena itu pimpinan dikantor camat Muara Sahung menginginkan para pegawainya hadir tepat waktu, Sehingga dibutuhkan suatu fasilitas atau sarana untuk membantu melaksanakan pengolahan data yang tepat yang disebut dengan sistem absensi berbasis Web dengan menerapkan QR Code dan pengelolahan data pegawai dengan algoritma sequential search . pembuatan absensi dengan QR Code untuk meningkatkan kinerja pegawai dan penilaian instansi dari pimpinan pusat agar kantor kecamatan di Muara Sahung dinilai baik dan memudahkan dalam pencarian data pegawai. Hasil pengujian Menghasilkan sistem absensi berbasis web dengan menerapkan QR Qode sebagai media absensi pegawai kantor camat Muare Sahung, Pencarian data menggunakan algoritma sequential search baik dan waktu pencarian rata-rata 1 detik
PENERAPAN METODE TOPSIS UNTUK PENERIMAAN BANTUAN SOSIAL DISABILITAS PADA DINAS SOSIAL KOTA BENGKULU Yuliadarnita, Yuliadarnita; Renaldi, Renaldi; Toyib, Rozali; Wijaya, Ardi
Jurnal Media Infotama Vol 20 No 1 (2024): April 2024
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i1.5134

Abstract

So far, the quota of recipients of aid for the deaf is determined directly by the Social Service where this has an ineffective impact, such as there are people who deserve this assistance but cannot get it due to the limited quota of recipients and this also raises community perceptions due to the possibility of being affected by subjectivity in in determining the beneficiaries of assistance, so that it is not uncommon for efforts to distribute this assistance to have the potential to be very large not on target. A decision support system or Decision Support System (DSS) is a system that can assist in making decisions in an organization or company by applying methods that are appropriate to the areas of decision taken. Making decisions manually without the help of a SPK will result in an assessment that is not objective and does not appropriate. The TOPSIS method is a multi-criteria decision-making method by applying a weighted value to each criterion. The conclusion is that the computation is more efficient, the computational calculation is faster, and the decision-making method is faster. haven't made a perfect decision yet.
Penerapan Metode Naïve Bayes dalam memprediksi Peluang Kerja untuk Penyandang Disabilitas Yuliadarnita, Yuliadarnita; ikram, Ridho; Toyib, Rozali
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.