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All Journal TEKNOKOM : Jurnal Teknologi dan Rekayasa Sistem Komputer Journal Automation Computer Information System (JACIS)
Yuswanto, Andrie
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Computer Science & IT Control & Systems Engineering

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ANALYSIS AND APPLICATION OF CLOUD STORAGE SECURITY UTILIZATION BASED ON AS A SERVICE (IaaS) INFRASTRUCTURE SERVICE MODEL AS A DOCUMENT SHARING MEDIA DURING PANDEMI Isra Wardanu, Fyan; Wibowo, Budi; Yuswanto, Andrie
TEKNOKOM Vol. 5 No. 1 (2022): TEKNOKOM
Publisher : Department of Computer Engineering, Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (302.766 KB) | DOI: 10.31943/teknokom.v5i1.67

Abstract

Storage via the cloud is very necessary which is carried out in this research can be used as a basis for research at PT. Indocode technology has a problem where the problem is that the process of storing and sharing data on storage media via the cloud can be used both on internal and external networks. Implementing cloud-based storage greatly simplifies the process of sharing files with employees or the board of directors to be able to filter which data can be accessed by all employees and limited needs.. The server is designed using the Owncloud application which aims to support the process of information or data transactions with commissioners, directors and employees using owncloud, so that the data transfer process no longer uses external storage from the internet or other physical storage media. In addition, the use of owncloud for enterprises is very helpful because it is easy to use and the file sharing capabilities can be adjusted according to the user's permissions and can be accessed anywhere and anytime.
DESIGN OF MACHINE LEARNING DETECTION MASK USING YOLO AND DARKNET ON NVIDIA JETSON NANO Danu Prasetia, Deny; Yuswanto, Andrie; Wibowo, Budi
TEKNOKOM Vol. 5 No. 1 (2022): TEKNOKOM
Publisher : Department of Computer Engineering, Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (712.977 KB) | DOI: 10.31943/teknokom.v5i1.69

Abstract

In the Covid-19 pandemic, wearing a mask has become the obligation of Indonesian citizen,for outdoor and indoor.  Public awareness of wearing masks when leaving the house according to the government's appeal is still low.  This can be seen from the many people who do not wear masks while on the public place or in other place.  Technology that can help increase public awareness of using masks is a mask detection application.  The application to detect use of masks is made using Artificial Intelligence and uses machine learning methods from a tool that will read every use of masks on the face automatically, either using masks appropriately, using inappropriate masks or not using masks. The method used in this research is to use the Research and Development method, namely research that can produce a product. Based on the test results using masks with facial motifs, there are different results from the two samples tested depending on the quality of the image on the mask Yolo (You Only Look Once) is an object detection system in real time.  Darknet is an open source neural network framework written in the C and CUDA programming languages.  The Jetson Nano is a System On Module (SoM) and developer kit from the Nvidia Jetson family.
Analisis Pengukuran Kompleksitas Website SOC Menggunakan Function Point Sidqi, Akbar; Yuswanto, Andrie; Yaqin, Muhammad Ainul
Journal Automation Computer Information System Vol. 4 No. 2 (2024): November
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/jacis.v4i2.82

Abstract

Pengukuran kompleksitas perangkat lunak telah menjadi fokus utama dalam pengembangan perangkat lunak, merupakan cara untuk menggambarkan seberapa rumitnya suatu program, bertujuan untuk menilai dan memprediksi berbagai karakteristik, seperti tingkat kompleksitas komputasi dan keandalan model, serta kemampuan evaluasi model tersebut, dengan memanfaatkan beragam metrik dan alat analisis. pada penelitian ini bertujuan mengukur kompleksitas dengan metode pengukuran Function Point Analysis dengan pendekatan berorientasi pada fungsi yang banyak digunakan untuk mengukur fungsionalitas perangkat lunak. pada setiap dashboard website diukur menggunakan kriteria FPA yang menyatakan tingkat kompleksitas dengan level simple, average, dan complex. pada penelitian ini bertujuan mengukur nilai kuantitatif dari fungsionalitas perangkat lunak website soc untuk menghasilkan tingkat kompleksitas website. Hasil dari pengukuran terdapat 3 faktor yaitu: Crude Function Point, Relative Complexity Adjustment Factor, dan Function Point. yang menunjukkan nilai CFP 310, RCAF 70, dan FP 418,5 yang menunjukkan kompleksitas tinggi pada website soc
Co-Authors Danu Prasetia, Deny Ida Ayu Putu Sri Widnyani Isra Wardanu, Fyan Sidqi, Akbar