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All Journal Jurnal Varian Jurnal Bumigora Information Technology (BITe) Infotek : Jurnal Informatika dan Teknologi ABSYARA: Jurnal Pengabdian Pada Masyarakat Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Synergy and Society Service Jurnal PRINTER : Jurnal Pengembangan Rekayasa Informatika dan Komputer Jurnal Teknologi Informasi untuk Masyarakat (Jurnal Teknokrat)

Muh. Adrian Juniarta Hidayat

Universitas Hamzanwadi

Author-ID : 4249596

Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences Other

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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

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

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

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

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

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.

SISTEM KONTROL DAN MONITORING TANAMAN HIDROPONIK BERBASIS INTERNET OF THINGS (IoT) MENGGUNAKAN NODEMCU ESP32 Hidayat, Muh Adrian Juniarta; Amrullah, Ahmad Zuli
Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 12 No 1 (2022): Maret 2022
Publisher : STMIK Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33020/saintekom.v12i1.223

The rapid development of Internet of Things (IoT) technology makes its use even more widespread in various fields. IoT is a series of technologies that are combined to create a device that can be controlled remotely via the internet. In this study, IoT technology is applied to control and monitor hydroponic plants using one of the IoT devices, the NodeMCU ESP32. The purpose of this research is to create an automatic nutrition system for hydroponic plants by utilizing various sensors and monitoring the development of hydroponic plants remotely via the internet to see the performance of IoT technology in controlling and monitoring. The results of this study indicate that the application of IoT technology can precisely provide nutrients to hydroponic plants according to the specified time and can transmit data accurately and in real-time via the internet and displayed on web applications that can be accessed from anywhere.

Penerapan Algoritma Naïve Bayes Untuk Analisis Pengaruh Faktor Pendidikan Terhadap Peningkatan Kesehatan Masyarakat Fathurrahman, Fathurrahma; Yupi Kuspandi Putra; Muh. Adrian Juniarta Hidayat
Infotek: Jurnal Informatika dan Teknologi Vol. 7 No. 2 (2024): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v7i2.26470

Health and Education are the main capital in realizing the nation's progress. Because quality and productive human resources are those who have a good level of health. People who have low education usually cannot receive current information about health, they prefer traditional health care such as going to a shaman or healer rather than going to the doctor. The aim of this research is to determine the influence of educational factors on public health. Data obtained through surveys and data collection carried out in the Sustainable Development Goals (SDGs) program or what we can interpret as sustainable development goals. 4429 data were obtained which included: economic data, health data, poverty data, gender data, education data and environmental data. The data obtained is used by researchers as attributes or variables to support decision making. This research uses a classification method with the Naïve Bayes algorithm with the accuracy value as the final value of the research. Data processing uses Rapid Miner software. From the test results it turns out to have an accuracy rate of 65.19%. Testing was carried out using k-fold validation, starting from k-fold validation 2 to 10. And the highest accuracy value was found at k-fold 6

Meningkatkan kesiapan karier dan pemahaman peluang kerja di bidang Geomatika pada siswa SMKN 3 Selong Apriyeni, Baiq Ahda Razula; Supriadi, Herman; Hidayat, Muh. Adrian Juniarta; Hidayat, M. Adnan; Liana, Liana
ABSYARA: Jurnal Pengabdian Pada Masayarakat Vol 5 No 2 (2024): ABSYARA: Jurnal Pengabdian Pada Masyarakat
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/ab.v5i2.28430

In the era of geospatial technology advancement, understanding geomatics is crucial to prepare students for the increasingly complex job market. This study aims to evaluate the extent to which SMKN 3 Selong students comprehend the geomatics major, career opportunities, and business prospects through geospatial information system mastery. Career guidance approaches were implemented through initial diagnostics, career information dissemination, and evaluation stages. The findings reveal that 92% of students demonstrate a strong interest in Geographic Information Systems (GIS) courses, while 77% feel the need for additional guidance to prepare for careers. Additionally, 54% of students are ready to enter the workforce, although most chose the geomatics major based on external factors. This program is expected to enhance students' understanding of geomatics careers and improve their competitiveness in the job market. This research contributes to developing relevant career guidance strategies for vocational majors

Pengembangan Media Pembelajaran Ke NWDI-An Berbasis Mobile Putra, Yupi Kuspandi; Muh. Adrian Juniarta Hidayat; Fathurrahman; Almi Yulistia Alwanda; Ahmad Firdaus
Infotek: Jurnal Informatika dan Teknologi Vol. 8 No. 1 (2025): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v8i1.28462

The rapid development of information and communication technology (ICT) has brought significant changes in various aspects of life, including in the field of education. The need for effective and efficient learning media is increasingly urgent along with demands to improve the quality of education that is relevant to current developments. However, there are still several obstacles such as the lack of active role of students in the learning process and the limited learning media used. Learning resources in presenting material still use PowerPoint slides which are not yet interactive, resulting in a lack of student interest in learning. Therefore, this research aims to develop learning media, to support a more effective and interactive teaching and learning process. The method used in this research is Research and Development with the ADDIE model (Analyze, Design, Development, Implementation, and Evaluation) which is a teaching design system that is centered on individual learning, has immediate and long-term phases, is systematic, and uses a systems approach to knowledge. and human learning. The result of this research is a mobile-based learning media application with the hope that it can help increase students' understanding and interest in learning in NWDI courses, especially at the Faculty of Engineering, Hamzanwadi University.

Implementasi Data Mining Menggunakan Algoritma K-Means untuk Pengelompokkan Obat di Puskesmas Kerongkong Kecamatan Suralaga Hidayati, Diana; Yahya, Yahya; Juniarta Hidayat, Muh. Adrian
Jurnal PRINTER: Jurnal Pengembangan Rekayasa Informatika dan Komputer Vol. 1 No. 2 (2023): Jurnal PRINTER: Jurnal Pengembangan Rekayasa Informatika dan Komputer
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jprinter.v1i2.22006

Pengelolaan obat merupakan salah satu hal yang sangat dibutuhkan dalam tujuan mengelola stok obat. Obat perlu dikelola secara baik, efektif, dan efisien. Dengan pengelolaan obat yang baik maka obat dapat diperoleh dengan cepat dan tepat serta mengurangi hal-hal seperti kehabisan stok obat pada layanan kesehatan seperti Puskesmas, Rumah Sakit dan lain sebagainya. Hasil wawancara salah satu pegawai yang mengurus data obat di Puskesmas Kerongkong di puskesmas tersebut sering terjadi kekurangan bahkan kehabisan stok obat. Algoritma K-Means merupakan salah satu Algoritma Clustering. Dan salah satu opsi yang dapat digunakan dalam pengelolaan obat sebab nantinya sistem cluster dapat membuat pengelompokkan pada obat dengan pemakaian tinggi dan kurang sehingga nantinya dapat menjadi acuan atau knowledge base dalam pengambilan keputusan untuk mengatur stok obat. Penggunaan Algoritma K-Means dalam penelitian adalah karena kesederhanaan dan efisiensinya sehingga dapat diterapkan di segala bidang contohnya pada klasterisasi data obat.Kata kunci:Algoritma K-Means, Data Mining, Obat

Co-Authors Ahmad Firdaus Ahmad Zuli Amrullah Almi Yulistia Alwanda Amir Bagja Amrullah, Ahmad Zuli Andi Sofyan Anas Aropah, Muhamad Guruh Aswian Editri Sutriandi Bahtiar, Hariman Baiq Ahda Razula Apriyeni Dina Sopiana Fathurrahman Fathurrahman Fathurrahman Fathurrahman Fathurrahman Fathurrahman, Fathurrahma Gilang Primajati Hadian Mandala Putra Hasanah, Sosiatul Herman Supriadi Hidayat, M. Adnan Hidayati, Diana Irwan Fakhrurrozi L M Samsu L M Samsu L.M.Samsu L.M.Syamsu Liana Liana Liana Liana Rozita Muzarrofah Mahpuz Martua Hamonangan Nasution Mohammad Najib Roodhi Muhammad, Saiful Nur, Amri Muliawan Nurhidayati nurhidayati, nur ida Purnama, Rizki Wulan Sadali, Muhamad Yahya Yahya, Yahya Yulistia, Almi Yupi Kuspandi Putra

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