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All Journal International Journal of Electrical and Computer Engineering Majalah Forum Teknik UGM JURNAL SISTEM INFORMASI BISNIS Jurnal Sistem Komputer Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Transformatika Jurnal Teknologi dan Sistem Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Penelitian Pendidikan IPA (JPPIPA) Syntax Literate : Jurnal Ilmiah Indonesia Jurnal Pengembangan Rekayasa dan Teknologi Jurnal Ilmu Teknik dan Komputer Jurnal Nasional Teknik Elektro dan Teknologi Informasi Prosiding Seminar Nasional Unimus
Oky Dwi Nurhayati
Departemen Teknik Komputer, Fakultas Teknik, Universitas Diponegoro
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Nursing Physics Public Health Transportation

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Journal : Jurnal Nasional Teknik Elektro dan Teknologi Informasi

 1 
Perancangan Sistem Cluster Server untuk Jaminan Ketersediaan Layanan Tinggi pada Lingkungan Virtual Yudi Restu Adi; Oky Dwi Nurhayati; Eko Didik Widianto
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 5 No 2: Mei 2016
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1137.477 KB)

Abstract

Computer based services are now used in various fields, such as business, health, and education. The objective is to improve the performance of the company, institution, or organization. Services and data are stored in a server machine. Therefore, the server machine becomes an important thing that supports the availability of services, beside network infrastructure and electricity. The server machine may have hardware failure or software crash. The server machine can be down because of a power failure, human error, or disaster. The server machine sometimes must be turned off for upgrades or maintenance purposes. When a server is down, services running on the server will stop and important data can be lost. The objective of this research is to build a server cluster system that supports high availability services and data integrity over a virtual environment. The result of this research is a cluster server system that supports high availability services over the virtual environment and guarantee data integrity using server virtualization Proxmox VE 3.4 on two computer machines, FreeNAS x86 9.2.1.9 as a NAS server, two units of the Cisco Catalyst 2960 switch, and DRBD for data synchronization.
Klasifikasi Penyakit Daun Kopi Robusta Menggunakan Metode SVM dengan Ekstraksi Ciri GLCM Agus Supriyanto; R. Rizal Isnanto; Oky Dwi Nurhayati
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 12 No 4: November 2023
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v12i4.8044

Abstract

Many farmers in Indonesia derive their income from coffee plants, which also play a crucial role in the country’s foreign exchange earnings. However, coffee plant production may decrease due to pests and disease attacks. Leaf diseases, such as leaf spot (Cercospora coffeicola) and leaf rust (Hemileia vastatrix), are among the most common diseases to occur in coffee plants. This research seeks to identify leaf diseases in robusta coffee leaves and determine the classification. The application of machine learning-based image processing using the support vector machine (SVM) classification method based on the gray-level co-occurrence matrix (GLCM) feature extraction can be the proposed solution. The preprocessing must precede the processing stage for easier analysis of the image’s quality. Then, the k-means clustering segmentation process was conducted to distinguish leaf parts affected by leaf spot and rust from those unaffected. The GLCM method was employed as the feature extraction based on the angular second moment (ASM) or energy features, contrasts, correlations, inverse different moment (IDM) or homogeneities, and entropy with angles of 0°, 45°, 90°, and 135°, as well as inter-pixel distances of 1 until 3. The classification was done with the SVM method using the linear, polynomial, and radial basis function (RBF) Gaussian kernels. This research used leaf spot and rust images, with training and test data of 320 and 80 images, respectively. The RBF Gaussian achieved the best test results with the best accuracy of 97.5%, precision of 95.24%, recall of 100%, and F1-score of 97.56%.
Co-Authors Adhi Susanto Adi Mora Tunggul Adi, Yudi Restu Agung Budi Prasetijo Agung Budi Prasetijo Agus Subhan Akbar, Agus Subhan Agus Subkhi Hermawan Agus Supriyanto Ahmad Muzami Aji Yudha Alim Muadzani Ambrina Kundyanirum Anggi Anugraha Putra Anggit Sri Herlambang Anggoro Mukti Anisa Eka Utami Annisa Hedlina Hendraputri Arief Puji Eka Prasetya Atik Zilziana Muflihati Noor Aulia Medisina Ramadhan Damar Wicaksono Danal Meizantaka Daeanza Dania Eridani Dania Eridani Dania Eridani Deryan Gelrandy Diana Nur Afifah, Diana Nur Dwiana Okviandini Eggy Listya Sutigno Eko Didik Widianto Eko Sediyono Farikhin Febi Andrea Renatha Galuh Boy Hertantyo Gayuh Nurul Huda Hadi Hilmawan Hammas Zulfikar Ikhsan Hanna Mariana Baun, Hanna Mariana Harits Fathuddin hastuti, Isti Pudji Hendra Pria Utama Ike Pertiwi Ike Pertiwi Windasari Ike Pertiwi Windasari Imaduddin Abdul Rahim Indra Aditia Indra Permana Isti Pudjihastuti Julce Adiana Sidette, Julce Adiana Keszya Wabang Kurniawan Teguh Martono Kusworo Adi Lazuardi Arsy Lia Dorothy M Irfan Syarif Hidayatullah M. Rizki Kurniawan Maesadji Tjokronagoro Menur Wahyu Pangestika, Menur Wahyu Mey Fenny Wati Simanjuntak Muhammad Hafiz Tsalavin Muhammad Naufal Prasetyo Muhammad Ridwan Asad Naretha Kawadha Pasemah Gumay Ningrum, Alifvia Arvi Ninik Rustanti Nofiyati Nofiyati, Nofiyati Nugroho Adhi Santoso Nurazizah Nurazizah Nurhuda Maulana Nurul Arifa Nuryanto . Prio Pambudi R Rizal Isnanto R Rizal Isnanto R. Rizal Isnanto Rahmat Gernowo Reza Najib Hidayat Rian Haris Muda Nasution Rinta Kridalukmana Risma Septiana Rismawan Fajril Falah Riyadhi Sholikhin Satriaji Cahyo Nugroho Siswo Sumardiono Sri Widodo, Thomas Suryo Mulyawan Raharjo Suryono Suryono Teguh Hananto Widodo Thomas Sri Widodo Tristy Meinawati Tyas Panorama Nan Cerah Ulinuha, Ajik Wijaya Wahyudi Akbar Yessy Kurniasari Yudhi Kasih Pasaribu Yudi Eko Windarto Yudi Restu Adi Yusraka Dimas Al Iman Yusuf Arya Yudanto Zaskia Wiedya Sahardevi