Article Per Year (5 Year)
p-Index From 2020 - 2025
0.408
P-Index
This Author published in this journals
All Journal TEKNOLOGIA
Herminarto Nugroho
Unknown Affiliation
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Engineering Mathematics

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
METODE KOMPUTASI MURAH UNTUK SINKRONISASI FASA OPTIK PADA OPTICAL BEAMFORMING NETWORKS Herminarto Nugroho; Wahyu Kunto Wibowo; Aulia Rahma Annisa
JURNAL TEKNOLOGIA Vol 1 No 2 (2019): Teknologia
Publisher : Aliansi Perguruan Tinggi Badan Usaha Milik Negara (APERTI BUMN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (956.168 KB)

Abstract

Optical Beamforming Networks (OBFNs) is used to optimized the received signal power in airplane-satellite communication by controlling the signal beams towards the desired direction. The control of these OBFNs is a difficult and very complex nonlinear problem. The complexity of OBFN can be reduced by lowering the bandwidth of the modulated optical signals at its inputs. It can be achieved by performing optical single-sideband suppressed-carrier (SSB-SC) modulation. However, there is potential problem due to the fact that the phase relation between the optical carrier and the remaining sideband is lost when the group delay response is only optimized for the sideband frequency range. Optical phase synchronization is used to correct this issue by adding extra phase shifters. However, there is not any simple yet effective method to determine the value of the extra phase shifters needed for a certain OBFN. This paper propose a simple and computationally cheap feedback approximation approach to solve this problem.
ANALISIS KEBUTUHAN UNTUK MEMBANGUN MEDIA PEMBELAJARAN MAYA YANG MENDUKUNG PROYEK ENERGI BARU DAN TERBARUKAN: ANALISIS KEBUTUHAN PENGGUNA Ariana Yunita; Meredita Susanty; Galang Amanda Dwi Pamungkas; Herminarto Nugroho
JURNAL TEKNOLOGIA Vol 1 No 2 (2019): Teknologia
Publisher : Aliansi Perguruan Tinggi Badan Usaha Milik Negara (APERTI BUMN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (478.063 KB)

Abstract

Energy security has become the main issue for Indonesia Government because Indonesia is targeted to be independent in energy field.To reach the goals NRE usage, there should be cooperations amongst all party : government, society, academicians as well as corporates. Virtual Learning Environment (VLE) is a powerful application to deliver knowledge in the digital age while contributes to educate society about New and Renewable Energy (NRE). However, user requirements are needed before developing VLE to reveal existing conditions and understand the users’ behaviour. This paper purposes to understand the user requirements, who are university students, to contribute to NRE project. Research methods used are interview, observation and questionnaire. Interview was conducted with Lentera Bumi Nusantara who develops NRE technology especially wind turbine in Indonesia. Observation was done in Lentera Bumi Nusantara’s office and questionnaire was distributed amongst 92 students in Universitas Pertamina, Jakarta, Indonesia. The results show that university students are human resources needed in NRE project. Then, learning materials regarding how to build blade and wind turbine have not distributed to others. Furthermore, results show that 84% of university students are ready to contribute in NRE project. However, only 37% of university students own original idea for NRE project related to their academic background. To build the VLE to support NRE projects, there should be menu for university students to discuss online so they can share ideas regarding NRE and menu for contributing to NRE project in Indonesia.
Penggunaan Metode Optimasi Genetic Algorithm dalam Penentuan Letak Turbin Angin Mohammad Radya Fariez; Ferbyansyah Gilang Maulana; Herminarto Nugroho
JURNAL TEKNOLOGIA Vol 2 No 2 (2020): Jurnal Teknologia
Publisher : Aliansi Perguruan Tinggi Badan Usaha Milik Negara (APERTI BUMN)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Angin saat ini merupakan salah satu sumber energi baru dan terbarukan yang memiliki nilai efisiensi lebih besar jika dibandingkan dengan sumber energi baru dan terbarukan yang lain. Untuk itu diperlukan pembangkit listrik tenaga angin. Ada beberapa permasalahan vital dalam penempatan wind turbine, diantaranya permasalahan optimisasi dari suatu peletakan wind turbine tersebut. Dalam penempatan lokasi wind turbine harus dilakukan secara serius, karena penempatan tersebut sangat bergantung pada kecepatan angin yang melewati antara turbin satu dengan yang lainnya sehingga dapat menghasilkan output yang berbeda. Banyak metode yang dapat digunakan untuk menentukan posisi perangkat wind turbine sehingga menghasilkan energi yang optimal. Metode yang digunakan dalam paper ini adalah Genetic algorithm. Setelah menggunakan metode tersebut, hasil menunjukan bahwa nilai optimum dari metode yang digunakan lebih baik jika dibandingkan dengan metode lainnya. Tujuan dari metode tersebut ialah untuk menyelesaikan permasalahan mengenai cara menentukan posisi, jarak, dan faktor lainnya yang tepat untuk menghasilkan energi yang maksimal yang dihasilkan wind turbine.
Optimasi Penggunaan Metode Simulated Annealing Untuk Optimasi Penempatan Posisi Ground Robot Tri Mutia; Ilham Febrianto; Herminarto Nugroho
JURNAL TEKNOLOGIA Vol 2 No 2 (2020): Jurnal Teknologia
Publisher : Aliansi Perguruan Tinggi Badan Usaha Milik Negara (APERTI BUMN)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

VLC (Visible Light Communication) is data communication by sending or receiving signals with light. In this study, the VLC optimization process was carried out for applications that determine the position of the robot on the ground to obtain the desired power. This robot is equipped with a photodiode at the top which serves to measure the strength of the power received. Optimization of the application is done by using the Simulated Annealing (SA) method which is intended to determine the radius of the robot so that the value of the received power equals or approaches the theoretically received power value.
Co-Authors Ariana Yunita Aulia Rahma Annisa Ferbyansyah Gilang Maulana Galang Amanda Dwi Pamungkas Ilham Febrianto Meredita Susanty Mohammad Radya Fariez Tri Mutia Wahyu Kunto Wibowo