Article Per Year (5 Year)
p-Index From 2020 - 2025
0.92
P-Index
This Author published in this journals
All Journal Jurnal Varian Jurnal Bumigora Information Technology (BITe) Infotek : Jurnal Informatika dan Teknologi
Muh. Adrian Juniarta Hidayat
Universitas Hamzanwadi
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Mathematics Social Sciences Other

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
Barrier Options Model for Agricultural Commodity Price Protection Gilang Primajati; M Najib Rodhi; Adrian Juniarta Hidayat
Jurnal Varian Vol 4 No 1 (2020)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v4i1.856

Abstract

Application of barrier options for determining insurance premiums for agricultural commodity prices due to lower selling prices by applying certain barrier levels. In determining the price of insurance premiums for agricultural commodity prices such as rice, the price is assumed to follow the Brown Geometric Motion and for the determination of the barrier level line the researcher uses the Brown Bridge Motion so that there is a relationship between Bridge and Barrier. In conclusion, we obtain a model to determine the number of insurance premiums. The barrier option model approach is used to construct a fairer formula for insurance premiums on agricultural commodity prices.
Analisis Sentimen Movie Review Menggunakan Naive Bayes Classifier Dengan Seleksi Fitur Chi Square Ahmad Zuli Amrullah; Andi Sofyan Anas; Muh. Adrian Juniarta Hidayat
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 (225.868 KB) | DOI: 10.30812/bite.v2i1.804

Abstract

Ulasan film berisi opini atau pandangan penonton terhadap suatu karya film, dalam hal ini gambaran secara umum dan detail sebuah film. Banyaknya respon dari penonton terhadap suatu film belum bisa dikategorikan secara langsung menjadi sebuah sentiment, untuk itu perlunya sebuah sentimen analisis. Analisis sentimen adalah subjek utama dalam machine learning yang bertujuan untuk mengekstrak subjektif informasi dari ulasan tekstual. Pada penelitian ini akan melakukan analisis sentiment pada movie review yang didapat dari IMDB untuk menganalisis respon penonton terhadap film yang mereka tonton kedalam dua kelompok; respon positif dan negatif. Proses analisis dilakukan dengan menggunakan text mining dalam mengekstraksi informasi yang diperoleh dan diklasifikasi dengan Naïve Bayes. Sentimen respon akan diuji dengan Chi Square.
Klasifikasi Data Ulasan Positif dan Negatif Dengan Menggunakan Algoritma Naive Bayes Muh. Adrian Juniarta Hidayat; Gilang Primajati; Ahmad Zuli Amrullah
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 (326.67 KB) | DOI: 10.30812/bite.v2i1.809

Abstract

Bagi para pelaku penyedia jasa, kualitas pelayanan merupakan suatu hal yang sangat penting karena dapat berdampak pada keberlangsungan bisnis mereka. Salah satu cara untuk menilai kualitas suatu layanan ialah dengan melihat ulasan dari para pelanggan yang pernah menggunakan layanan tersebut. Ulasan yang berbentuk teks dapat menjadi data yang berguna apabila diolah dengan teknik tertentu untuk melihat kualitas suatu layanan dengan mengelompokkan ulasan positif dan negatif dari suatu layanan. Pada tulisan ini mengusulkan untuk melihat kualitas layanan suatu hotel dengan mengolah data ulasan yang berbentuk teks dengan membandingkan rasio ulasan positif dan negatif dari pelanggan dengan menggunakan algoritma Naive Bayes. Hasil dari percobaan terlihat bahwa pengelompokan ulasan positif dan negatif dapat dilakukan dengan baik dengan memberikan bobot rangking tertentu pada setiap kata yang terdapat didalam ulasan, sehingga dapat diketahui bahwa kualitas layanan cenderung mendapat umpan balik positif atau negatif.
Sistem Keamanan Server Linux CentOS Dengan Metode Port Knock dan RST Cookies Muh. Adrian Juniarta Hidayat; Hadian Mandala Putra
Infotek: Jurnal Informatika dan Teknologi Vol. 6 No. 2 (2023): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v6i2.17500

Abstract

The increase in online-based services makes a security system for server computers increasingly needed. A server computer is a device that must always be available to be accessed anytime and anywhere. Some of the security systems needed for server computers include security for ssh port access for remote server access needs and a security system to protect servers from Denial of Service (DoS) attacks which can make the server down and completely inaccessible. In this study, a security system is proposed for a server computer with the Linux CentOS operating system on a port 22 secure shell(ssh) access system using the port knock method and a security system to prevent Denial of Service (DoS) attacks on server computers using the RST Cookies method. The simulation results from the port 22 Secure Shell (SSH) access experiment for the server computer can work well where port 22 Secure Shell(SSH) will remain closed and cannot be accessed carelessly except by accessing several ports first according to predefined port knocking rules. Likewise, the implementation of a security system with the RST Cookies method works very well to prevent Denial of Service (DoS) attacks and can still keep the server accessible with a good response time of under 1 ms
Rancang Bangun Aplikasi Bimbingan Skripsi Online Berbasis Android Dengan Metode Human Centered Design Muh. Adrian Juniarta Hidayat; Hariman Bahtiar; Yupi Kuspandi Putra; Fathurrahman Fathurrahman
Jurnal Bumigora Information Technology (BITe) Vol 5 No 2 (2023)
Publisher : Prodi Ilmu Komputer Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v5i2.3518

Abstract

Application-based services are currently increasingly being used, one of which is thesis guidance services for final year students. The process of completing students' final assignments is sometimes difficult to monitor due to the lack of time for supervisors and students to meet. In this research, it is proposed to create an online thesis guidance service system based on an Android application. In the application that will be built, all features will be tailored to the specific needs of users, namely the needs of supervisors and students in providing online thesis guidance services. Therefore, it is proposed to design applications using the Human Centered Design (HCD) method. HCD is a method of developing software that focuses on the needs of certain user groups by conducting needs analysis directly with potential users. By using this method, it was found that the application that was built functioned very well and met user expectations, where the level of user satisfaction with the features provided was very good.
Co-Authors Ahmad Zuli Amrullah Andi Sofyan Anas Bahtiar, Hariman Fathurrahman Fathurrahman Gilang Primajati Hadian Mandala Putra rodhi, mohammad najib Yupi Kuspandi Putra