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All Journal Techno.Com: Jurnal Teknologi Informasi Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Jurnal Teknik Elektro Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Sistem dan Informatika InfoTekJar (Jurnal Nasional Informatika dan Teknologi Jaringan) Sistemasi: Jurnal Sistem Informasi Jurnal Teknologi dan Sistem Komputer JOIV : International Journal on Informatics Visualization Matrik : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Tekno Kompak Jurnal Abdidas Jurnal SASAK : Desain Visual dan Komunikasi Jurnal Bumigora Information Technology (BITe) ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat International Journal of Engineering and Computer Science Applications (IJECSA) International Journal of Engineering Continuity Valid Jurnal Pengabdian
Hairani Hairani
Universitas Bumigora, Mataram, Indonesia
Arts Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering 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.
Sistem Pakar Diagnosa Penyakit THT Menggunakan Inferensi Forward Chaining dan Metode Certainty Factor Bhintang Dirgantara; Hairani Hairani
Jurnal Bumigora Information Technology (BITe) Vol 3 No 1 (2021): Juni 2021
Publisher : Prodi Ilmu Komputer Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v3i1.1241

Abstract

Currently, Ear, Nose, and Throat (ENT) has become a disease that is quite common in the world. In Indonesia, people with ENT disease are around 190-230 per 1000 population. The types of diseases studied in this study were Serous Orthitis Media, Nasal Polyps, Acute Pharyngitis, Retrofaryngeal Abscess, and Nafosaryngeal Carcinoma. The purpose of this study was to make an application of an expert system for the diagnosis of ENT diseases using forward chaining inference and certainty factors that can facilitate medical personnel to diagnose types of ENT diseases. The stages of developing an expert system in this study consisted of problem identification for problem domain, knowledge acquisition was used to obtain the MB and MD value of each symptom in ENT disease with the interview method, the design was used to design knowledge representations such as decision tables and inference engine. With the expert system of ENT disease diagnosis, it can make it easier for doctors to make decisions, or the right diagnosis of a symptom that arises in ENT, so that proper treatment is obtained and minimizes the occurrence of misdiagnoses
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%.
Prediksi Penjualan Produk Unilever Menggunakan Metode Regresi Linear Anthony Anggrawan; Hairani Hairani; Nurul Azmi
Jurnal Bumigora Information Technology (BITe) Vol 4 No 2 (2022)
Publisher : Prodi Ilmu Komputer Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v4i2.2416

Abstract

Barokah Shop is a retail store that sells various basic necessities for daily needs. Too much inventory will result in losses such as storage costs and the possibility of a decrease in the quality of goods. On the other hand, a small amount of inventory will reduce a larger profit. This study aims to build a web-based Unilever sales prediction system using a simple linear regression method. Testing the accuracy of the prediction results of sales of Unilever products using MEA and MAPE to see the level of error in the prediction results. The dataset uses Unilever product sales data for 15 months, from January 2021 to March 2022. The dataset is divided into 12 months as training data and 3 months as testing data. Prediction results in the next 3 periods of each type of product produce the same value between the system results and the results of manual linear regression calculations. Testing the error rate on the prediction results for 3 periods, namely January to March 2022, each Ax Deodorant, Bango Kecap, Buavita, Citra Lotion, Citra Soap, Clear Shampoo, Sariwangi, Sunsilk Conditioner, Vixal and Wall's Ice Cream products belong to the category of very accurate forecasting results. With the smallest MAPE value in Sunsilk Conditioner products of 1%. Thus, the linear regression method is very accurate for predicting sales of Unilever types goods.
Co-Authors Abdurraghib Segaf Suweleh Abdurraghib Segaf Suweleh Afrig Aminuddin Ahmad Ahmad Ahmad Fathoni Ahmad Zuli Amrullah Andi Sofyan Anas Anggrawan, Anthony Bhintang Dirgantara Christopher Michael Lauw Dadang Priyanto Dedy Febry Rachman Dedy Febry Rahman Deny Jollyta Diki Ashadi Donny Kurniawan Dyah Susilowati Dyah Susilowati Dyah Susilowaty Fatimatuzzahra Fatimatuzzahra Gibran Satya Nugraha Gibran Satya Nugraha Hammad, Rifqi Haryono Haryono Hasbullah Hasbullah Herawati, Baiq Candra I Nyoman Switrayana Ilham Saifuddin Indah Puji Lestari Juvinal Ximenes Guterres Khairan Marzuki Khairan marzuki Khurniawan Eko Saputro Kurniawan Kurniawan Latif, Kurniadin Abd Lilik Nurhayati M. Ade Candra M. Rasyid Ridho Mardedi, Lalu Zazuli Azhar Mayadi Mayadi Miftahul Madani Mokhammad Nurkholis Abdillah Mokhammad Nurkholis Abdillah Muhammad Arfa Muhammad Innuddin Muhammad lnnuddin Muhammad Maariful Huda Muhammad Ridho Hansyah Muhammad Zulfikri Muhammad Zulkarnaen Haris Mujahid Mujahid Ni Gusti Ayu Dasriani Noor Akhmad Setiawan Nurul Azmi Pahrul Irfan Putu Tisna Putra Ramadhanti Ramadhanti Rifqi Hammad Samsul Hadi Sofiansyah Fadli Syahrir, Moch. Teguh Bharata Adji Triwijoyo, Bambang Krismono Zilullah Nazir Hadi