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All Journal JTIM : Jurnal Teknologi Informasi dan Multimedia Jurnal Bumigora Information Technology (BITe) J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Jurnal Kependidikan: Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran dan Pembelajaran ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Saintek: Jurnal Sains Teknologi dan Profesi Akademi Angkatan Laut
Dyah Susilowati
Universitas Bumigora
Aerospace Engineering Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Nursing Public Health Social Sciences Other

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Journal : Jurnal Bumigora Information Technology (BITe)

 1 
Aplikasi Penentuan Penerima Beasiswa Menggunakan Algoritma C4.5 Abdurraghib Segaf Suweleh; Dyah Susilowati; Hairani Hairani
Jurnal Bumigora Information Technology (BITe) Vol 2 No 1 (2020)
Publisher : Prodi Ilmu Komputer Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (934.458 KB) | DOI: 10.30812/bite.v2i1.798

Abstract

Pada proses penentuan beasiswa sering muncul permasalahan mengenai tidak adanya perhitungan pasti untuk menentukan penerima beasiswa yang berhak yang mengakibatkan pelaksanaan seleksi beasiswa membutuhkan waktu yang relative lama. Implementasi aplikasi yang dapat memprediksi calon penerima beasiswa yang menggunakan teknik data mining, dapat menjadi salah satu alternative solusi untuk mengatasi permasalahan tersebut. Metode penelitian yang digunakan yaitu metode waterfall dengan tahap : analisa kebutuhan, perancangan diagram alur dan interface, implementasi menggunakan PHP dan MySQL ,dan pengujian menggunakan metode black box. Data yang digunakan untuk pengujian merupakan data mahasiswa sebanyak 125 data. Hasil yang dicapai dari pengujian tersebut yaitu diketahuinya tingkat akurasi implementasi algoritma C4.5 pada proses penentuan penerima beasiswa mencapai 92%, spesifisitas 92.3%, dan sensitifitas 91.6% . Kesimpulan dari penelitian ini adalah algoritma C4.5 berhasil diimplementasikan dalam proses klasifikasi penerima beasiswa dan fungsi – fungsi aplikasi ini sudah sesuai dengan yang diharapkan berdasarkan hasil pengujian menggunakan metode black box.
Implementation of Certainty Factor Method on Problematic Student Counseling Guidance Expert System Zilullah Nazir Hadi; Dyah Susilowati; Hairani Hairani; Muhammad Innuddin
Jurnal Bumigora Information Technology (BITe) Vol 3 No 2 (2021)
Publisher : Prodi Ilmu Komputer Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v3i2.1553

Abstract

The main thing in the development of education is the quality of education. One of the determinants of the quality of education is counseling guidance. The problem so far is that most students who have problems feel embarrassed in doing counseling directly to the BK teacher and usually consult with their friends so that they cannot solve the problems they face. This makes it difficult for BK teachers to deal with student problems, so we need a system that can help and solve problems experienced by students. The purpose of this study is to design an expert system that overcomes the problems suffered by students using the certainty factor method that can provide solutions based on the types of problems suffered by the students. The expert system development methodology in this study uses the waterfall methodology which consists of needs analysis, design, coding, and testing. The result of this research is in the form of an expert system application for counseling problem students who apply a web-based certainty factor method that can make it easier for students to find out the types of problems they face based on the problems symptoms entered. This study concludes that the expert system application that was built has a good level of convenience based on the results of usability testing using the SUS (System Usability Scale) method of 76.5%.
Co-Authors Abdul Rahim Abdurraghib Segaf Suweleh Adiyus Kurniazain Anggrawan, Anthony Apriani Apriani Bidari Andaru Widhi Christofer Satria Elyakim Nova Supriyedi Patty, Elyakim Nova Supriyedi Hairani Hairani Helna Wardhana Ismarmiaty Kartarina, Kartarina Muhammad Innuddin Muhammad Yunus Reny Refitaningsih Peby Ria Sonnie Rokhmawan Sri Astuti Iriyani Sutrisno Sutrisno Titik Ceriyani Miswaty Wiya Suktiningsih Yusa Adi Hartanto Zilullah Nazir Hadi