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Kristina Yanti Hutapea, Duma
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Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

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Pengolahan Data Buah Menggunakan Metode Deep Learning Satria Pratama, Chrisantian; Kusuma, Edward; Kristina Yanti Hutapea, Duma
Jurnal Elektro Vol 15 No 1 (2022): Vol.15 No.1 April 2022: Jurnal Elektro
Publisher : Prodi Teknik Elektro, Fakultas Teknik Unika Atma Jaya Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/jurnalelektro.v15i1.5121

Abstract

The use of artificial intelligence is increasingly widespread, one of which is in the use of detecting an object. In general, object detection is often used in tools that capture images such as cameras on cell phones or CCTV which is applied to e-tickets (electronic tickets). With deep learning technique in this article to detect fruit, it is hoped that it can be useful in everyday life such as a fruit sorting machine based on the level of maturity based on color or separating fruit from leaves in the fruit picking process.
Perancangan Jaringan Fiber To The Home Berbasis Gigabit Passive Optical Network Di Citra Garden Puri Cluste Denza Timothy Sutjipto, Marcellus; Octaviani, Sandra; Ghozali, Theresia; Windha Mahyastuty, Veronica; Kristina Yanti Hutapea, Duma
Jurnal Elektro Vol 16 No 1 (2023): Vol.16 No.1 April 2023: Jurnal Elektro
Publisher : Prodi Teknik Elektro, Fakultas Teknik Unika Atma Jaya Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/jurnalelektro.v16i1.5129

Abstract

This research aims to design a GPON-based Fiber to The Home (FTTH) line in the Citra Garden Puri cluster Denza . The method used is to carry out field observations, by conducting surveys to determine the need for equipment that will be used in designing the route. After the survey is conducted, this project requires Google Earth Pro software to do the mapping of the spot that is used for the ODP and to create passages for the fiber. To make sure that all planning already meets the requirement, there are several calculationdone in this research such as; link loss budget, power link budget, power margin and risetime budget. The distance that were used in the calculation are calculated from the STO Cengkareng until the ONT on each customer. Based on the calculation, the result of the biggest loss for link loss budget are obtained from the upstream, in the amount of 22,0456 dB and the loss from downstream are equals to 21,5721 dB. The result that obtained for the upstream loss of power link budget are equals to -17,0456 dBm and -16,5172 dBm for downstream. The next calculation is power margin, from this project we obtained the lowest power margin for the upstream 6,9544 dB and 7,4288 dB for downstream. The last calculation obtained for this project is rise time budget, from the calculation the shortest data for the rise time budget upstream is 0,1001 ns and for the downstream is 0,1019 ns. Based on all the calculation, this project can be concluded as a success because all the calculation are between the boundary that is tolerated by PT Telkom.
Sistem Pemantauan Cerdas Berbasis Internet of Things pada Pusat Perbelanjaan Mourio Sutio, Peter; Eka Budiyanta, Nova; Kristina Yanti Hutapea, Duma; Indriati, Kumala
Jurnal Elektro Vol 15 No 1 (2022): Vol.15 No.1 April 2022: Jurnal Elektro
Publisher : Prodi Teknik Elektro, Fakultas Teknik Unika Atma Jaya Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/jurnalelektro.v15i1.5152

Abstract

Shopping centers in Indonesia are faced with the problem of corona virus pandemic. Shopping centers were temporarily closed by the government and experienced a decline in visitors and even income during the pandemic. In order for shopping centers to earn sufficient income, the government provides a policy for shopping centers by limiting the number of visitors, checking temperature using a thermo scanner or thermo gun, and using masks according to health protocol rules. For this reason, an intelligent monitoring system is needed to monitor the density of the number of visitors and check the temperature automatically to prevent transmission of the corona virus from crowded shopping centers. The intelligent monitoring system is realized in miniature using NodeMCU as a microcontroller, web pages as interface pages for shopping center managers in system monitoring, applications as interface pages for managers in monitoring systems and applications as interface pages for the public so they can see the number of visitors and remaining capacity. at a shopping center. The overall test results percentage obtained is 100% and it can be concluded that the intelligent monitoring system can work well.
Co-Authors Edward Kusuma Eka Budiyanta, Nova Indriati, Kumala Mourio Sutio, Peter Sandra Octaviani Satria Pratama, Chrisantian Theresia Ghozali Timothy Sutjipto, Marcellus Windha Mahyastuty, Veronica