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All Journal ILKOM Jurnal Ilmiah Indonesian Journal of Electrical Engineering and Computer Science International Journal of Global Operations Research Engineering and Technology International Journal (EATIJ)
Mohamad Iqbal Suriansyah
Universitas Pakuan
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mathematics Mechanical Engineering

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Compute functional analysis leveraging the IAAS private cloud computing service model in packstack development Mohamad Iqbal Suriansyah; Iyan Mulyana; Junaidy Budi Sanger; Sandi Winata
ILKOM Jurnal Ilmiah Vol 13, No 1 (2021)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v13i1.693.9-17

Abstract

Analyzing compute functions by utilizing the IAAS model for private cloud computing services in packstack development is one of the large-scale data storage solutions. Problems that often occur when implementing various applications are the increased need for server resources, the monitoring process, performance efficiency, time constraints in building servers and upgrading hardware. These problems have an impact on long server downtime. The development of private cloud computing technology could become a solution to the problem. This research employed Openstack and Packstack by applying one server controller node and two servers compute nodes. Server administration with IAAS and self-service approaches made scalability testing simpler and time-efficient. The resizing of the virtual server (instance) that has been carried out in a running condition shows that the measurement of the overhead value in private cloud computing is more optimal with a downtime of 16 seconds.
Weed Detection Using Fractal-Based Low Cost Commodity Hardware Raspberry Pi Mohamad Iqbal Suriansyah; Heru Sukoco; Mohamad Solahudin
Indonesian Journal of Electrical Engineering and Computer Science Vol 2, No 2: May 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v2.i2.pp426-430

Abstract

Conventional weed control system is usually used by spraying herbicides uniformly throughout the land. Excessive use of herbicides on an ongoing basis can produce chemical waste that is harmful to plants and soil. The application of precision agriculture farming in the detection process in order to control weeds using Computer Vision On Farm becomes interesting, but it still has some problems due to computer size and power consumption. Raspberry Pi is one of the minicomputer with low price and low power consumption. Having computing like a desktop computer with the open source Linux operating system can be used for image processing and weed fractal dimension processing using OpenCV library and C programming. This research results the best fractal computation time when performing the image with dimension size of 128 x 128 pixels. It is about 7 milliseconds. Furthermore, the average speed ratio between personal computer and Raspberry Pi is 0.04 times faster. The use of Raspberry Pi is cost and power consumption efficient compared to personal computer.
Implementasi Metode Smart Dengan Menggunakan Sistem Pendukung Keputusan Dalam Menentukan Karyawan Terbaik Pada PT.XYZ: Implementation of the Smart Method Using a Decision Support System in Determining the Best Employees at PT.XYZ Imam Ahmad; Mohamad Iqbal Suriansyah; Sanusi Sanusi
Engineering and Technology International Journal Vol 3 No 03 (2021): Engineering and Technology International Journal (EATIJ)
Publisher : YCMM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3.203 KB) | DOI: 10.55642/eatij.v3i03.100

Abstract

Every company that wants to continue to grow and wants to progress, the first thing that needs to be improved is the quality of its human resources. And one way to assess the quality of human resources in the company can be seen from the performance appraisal of employees. The object of this research was conducted at PT. xyz. The research method used in this study is the SMART method (Simple Multi Attribute Rating Technique), because the smart method can solve the problem of making choices that are multi-criteria and with simple analysis compared to other decision-making methods. This performance appraisal system is designed using PHP and MySQ. The method used in system development is the Object-Oriented Analysis and Design (OOAD) method and uses Unified Modeling Language (UML) modeling. The results achieved in the form of a decision support system in determining the best employees at PT.XYZ.
DEVELOPMENT OF AUGMENTED REALITY PORTAL FOR MEDICININAL PLANTS INTRODUCTION Rizki Permana; Eneng Tita Tosida; Mohamad Iqbal Suriansyah
International Journal of Global Operations Research Vol 3, No 2 (2022)
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v3i2.141

Abstract

Augmented Reality Portal application of Human Herbal Medicinal Plants, it can be concluded that the AR portal application aims to visualize medicinal plants and as a means of knowledge and insight for the general public. That is by utilizing the sophistication of Augmented Reality Portal-based technology that can be accessed using an Android smartphone. The Augmented Reality Portal application of Medicinal Plants in the Insani Herbal Garden has been carried out in the trial phase, the results of the Structural Test show that the system is well structured, the results of the Functional Test show that every button on the system has functioned properly and the Validation Test includes distance testing with maximum results for objects to detect sound, which is 90 cm, slope trials with a distance of 90 cm, maximum results at 45 degrees with a time of 00.66 seconds, light level trials with object detection results faster when the sun is direct with time of 1 second, and testing the android specifications shows that the minimum operating system is android nougat 7.0 and supports AR Core.
Co-Authors Eneng Tita Tosida Heru Sukoco Imam Ahmad Iyan Mulyana Junaidy Budi Sanger Mohamad Solahudin Rizki Permana Sandi Winata Sanusi