Abdul Latif
STMIK Nusa Mandiri

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IMPLEMENTASI DATA MINING UNTUK MENGETAHUI FAKTOR KELAYAKAN DONOR DARAH UTD KOTA TASIKMALAYA MENGGUNAKAN ALGORITMA C4.5 Abdul Latif; Dini Silvi Purnia
INTI Nusa Mandiri Vol 14 No 1 (2019): INTI Periode Agustus 2019
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v14i1.1555

Abstract

Donor darah merupakan kegiatan kemanusiaan dimana seseorang dengan sukarela menyumbangkan darahnya untuk disimpan di bank darah yang kemudian digunakan untuk transfusi darah. UTD PMI Tasikmalaya merupakan fasilitas layanan kesehatan yang menyelenggarakan donor darah, penyedia darah, dan pendistribusian darah. Ketika banyaknya pendonor sukarela di UTD PMI Tasikmalaya, maka antrean panjang sering terjadi pada saat pemeriksaan kelayakan donor darah. Terkadang antrean panjang membuat pendonor sukarela mengurungkan niatnya untuk mendonor, sehingga diperlukan sebuah model untuk efisiensi pemeriksaan kelayakan donor darah. Data Mining merupakan gabungan sejumlah disiplin ilmu komputer yang didefinisikan sebagai proses penemuan pola-pola baru dari kumpulan-kumpulan data sangat besar. Sehingga dalam penelitian ini, peneliti memanfaatkan data mining menggunakan software Rapidminer dan menggunakan metode Decision Tree Algoritma C4.5 untuk menentukan prediksi kelayakan donor darah berdasarkan Usia, Berat Badan, Tekanan Darah, dan Hemoglobin. Dari hasil penelitian ini, hemoglobin adalah variabel paling menentukan kelayakan donor darah dengan tingkat akurasi 97,69% yang berarti akurasi model ini sangat baik
CLASSIFICATION OF THE PROSPECTS FOR CITY TREES LIFE EXPECTANCY USING NAIVE BAYES METHOD Muhammad Rifqi Firdaus; Abdul Latif; Ipin Sugiyarto; Windu Gata
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol 6 No 1 (2020): JITK Issue August 2020
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1130.708 KB) | DOI: 10.33480/jitk.v6i1.1405

Abstract

Besides the city is a large and extensive residential area. as a center for the activities of its citizens, both from economic, cultural, and development activities. Development in the city leads to the physical development of the city with the many facilities and infrastructure in the city, making activities in the city cause some pollution problems. To overcome this problem, the government often creates green open space in the middle of the city. Planting shade trees will help to balance the problem of pollution due to development. Trees can reduce temperatures, in addition to absorbing air and climate pollution. trees can help save energy. Naive Bayes is a classification with probability and statistical methods, namely predicting future opportunities based on experience based on the assumption of simplification that attribute values are conditionally free if given an output value. Data processing with Naive Bayes produces a Precision value of 0.840%, a recall value of 0.848%, and an AUC of 0.873%. These results indicate that the results are included in the excellent category.
IMPLEMENTATION OF THE RIJNDAEL ALGORITHM ON WEB-BASED WHISTLEBLOWING SYSTEM Abdul Latif; Ai Ilah Warnilah; Siti Khotimatul Wildah
Jurnal Techno Nusa Mandiri Vol 19 No 2 (2022): Techno Nusa Mandiri : Journal of Computing and Information Technology Period of
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/techno.v19i2.3861

Abstract

In carrying out its responsibilities, an employee works for an agency or company and also works with his colleagues, whether they are co-workers or their own superiors. So it is very important for an employee to gain trust in his work environment. If there is a violation or behavior that deviates from an employee in the work environment, then there must be someone who reports it but of course by protecting the identity of the reporter. Based on these problems, the authors make and design a web-based whistle blowing application to protect the identity of people who report violations that occur in their work environment. This whistle blowing web is created using cryptographic algorithm methods. Cryptographic algorithms work by disguising data or information into a form of password that has no meaning. The author uses the Rijndael algorithm to encrypt the complainant's data. So that by using the Rijndael algorithm on this web-based Whistleblowing system, the data or reporting information will be safe in the database and it is hoped that an optimal system will be created for data and information security