Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal IPTEK Journal of Proceedings Series TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmiah Kursor EMITTER International Journal of Engineering Technology KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Applied Technology and Computing Science Journal Indonesian Journal of Electrical Engineering and Computer Science Prosiding SNAST Prosiding Seminar Nasional Pengabdian Kepada Masyarakat
Sritrusta Sukaridhoto
Politeknik Elektronika Negeri Surabaya
Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Public Health Social Sciences

Published : 18 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 18 Documents
Search

 1   2 
Performance Evaluation of Integrated Deep Learning Web Platform for Dataset Training Sritrusta Sukaridhoto; Dwi Kurnia Basuki; Heri Yulianus; Rizqi Putri Nourma Budiarti
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 2 No 2 (2019): December
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v2i2.1516

Abstract

Along with the complexity of recent web site, many users cannot get the benefits. We developed Integrated Deep Learning Web Platform to help researcher to prepare dataset trainig for Tensorflow. However, the quality of a web site needs to be assessed. This paper proposes an implementation of WebQual 4.0 for evaluating Integrated Deep Learning Platform for Training Dataset (INDEF) quality. This method used the WebQual model that has some instruments. The instruments grouped the WebQual questions to be three main categories; usability, information and service interaction. From the research conducted can be evaluated that all respondents agreed Integrated Deep Learning Platform for Training Dataset web site met all the WebQual characteristics.
Analisys and Implementation Cloud-based Biometricauthentication in Mobile Platform agostinho marques ximenes; Sritrusta Sukaridhoto; Amang Sudarsono; Hasan Basri
Jurnal Ilmiah Kursor Vol 10 No 2 (2019)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/kursor.v10i2.200

Abstract

Based on the Indonesian Central of Statistics the level of poverty people in September 2018 was 25.95 million, based on data, the government allocation care fund the reduce poverty people, the fund are given through the bank. However, banks cannot allocation funds because the cost for build infrastructure is expensive, such as making an ATM. about that, the banks need to find a new solution to allocation care fund to the poverty people, Mobile Platform Biometric Cloud Authentication is one solution. In this study, the experimentationn of the biometric face recognized( face data enrypt and decript by algoritma AES 256 bit) to secure online payment mobile application based on the QR Code scan and face recognition[8,10]. The concentration of this study lies in the experimentationn of biometric face recognize and QR Code scan on biometric payment based face recognition and QR Code scan mobile applications that play a role in data communication security. The test results on this mobile application show that scanning a QR Code and biometric face recognize can be implemented at an online merchant transaction with an accuracy of 95% and takes 53, 21 seconds in transactions. Keyword: biometric, cloud server, Cryptography, QR Code.
THE IMPLEMENTATION OF HEART RATE SENSOR AND MOTION SENSORS BASED ON INTERNET OF THINGS FOR ATLETE PERFORMANCE MONITORING Sritrusta Sukaridhoto; Muhammad Aksa Hidayat; Achmad Basuki; Riyadh Arridha; Andi Roy; Titing Magfirah; Agus Prasetyo; Udin Harun Al Rasyid
Jurnal Ilmiah Kursor Vol 10 No 1 (2019)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28961/kursor.v10i1.208

Abstract

Indonesian achievements in the ASEAN Games continued to decline in achievement starting in 1962 with the acquisition of 51 medals and up to 2014 with the acquisition of 20 medals. The decline in achievement was due to the lack of athletic resources due to the absence of media that could record athletes' abilities in the field. Can record the athlete's performance before running, running and after running using the Heart Rate sensor and Motion Capture sensor. The results of the sensor recording will be stored in the database. This system applies the Internet of Things (IoT) concept, using raspberry pi, Arduino microcontroller, T34 polar heart rate sensor to capture and send heartbeat to receivers, gyro-based motion-capture sensors that named wear notch where this sensor serves to capture the movement of athletes, sensors communicate with the system using 4G connectivity, use MQTT as edge computing which acts as a communication medium from sensors to databases, Maria DB and influx DB as accumulation which plays a role in storing heart rate and athlete's movements that have been recorded by sensors, athlete performance monitoring platform with a heart rate sensor and athlete's motion capture is a web-based application that collaborates all processes from the sensor to the system. Sensor heart rate recording results are categorized good because the error margin is only 0.4%. Wearnotch sensor data can be stored in the database, and athletic data can be recorded before sports, while sports, and after sports in real-time
INTELLIGENT SYSTEM FOR AUTOMATIC CLASSIFICATION OF FRUIT DEFECT USING FASTER REGION-BASED CONVOLUTIONAL NEURAL NETWORK (FASTER R-CNN) Hasan Basri; Iwan Syarif; Sritrusta Sukaridhoto; Muhammad Fajrul Falah
Jurnal Ilmiah Kursor Vol 10 No 1 (2019)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28961/kursor.v10i1.187

Abstract

In 2018, the Indonesian fruit exports increased by 24% from the previous year. The surge in demand for tropical fruits from non-tropical countries is one of the contributing factors for this trend. Some of these countries have strict quality requirements – the poor level quality control of fruit is an obstacle in achieving greater export yield. This is because some exporters still use manual sorting processes performed by workers, hence the quality standard varies depending on the individual perception of the workers. Therefore, we need an intelligent system that is capable of automatic sorting according to the standard set. In this research, we propose a system that can classify fruit defects automatically. Faster R-CNN (FRCNN) architecture proposed as a solution to detect the level of defect on the surface of the fruit. There are three types of fruit that we research, its mangoes (sweet fragrant), lime, and pitaya fruit. Each fruit divided into three categories (i) Super, (ii) middle, (iii) and fruit defects. We exploit join detection and video tracking to calculate and determine the quality fruit in real-time. The datasets are taken in the field, then trained using the FRCNN Framework using the Tensorflow platform. We demonstrated that this system can classify fruit with an accuracy level of 88% (mango), 83% (lime), and 99% (pitaya), with an average computation cost of 0.0131 m/s. We can track and calculate fruit sequentially without using additional sensors and check the defect rate on fruit using the video streaming camera more accurately and with greater ease.
PENGUKURAN PSNR PADA TRANSMISI VIDEO DI KANAL TERAHERTZ MENGGUNAKAN QAM MODULATION Tamara Maharani; Muhammad Agus Zainuddin; Sritrusta Sukaridhoto
KLIK- KUMPULAN JURNAL ILMU KOMPUTER Vol 7, No 2 (2020)
Publisher : Lambung Mangkurat University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/klik.v7i2.319

Abstract

In the current era of communication has various challenges that include the intensity of information exchange more often, the amount of information carried and the speed in exchanging information. Communication is not only in the form of text and sound but also in the form of pictures and videos. This study tries to use digital data in the form of video with the aim of providing a view of the PSNR measurement simulation. The method used is modulation of QAM 64, 256, 1024 and 4096 through terahertz channels (0.1-10 THz). Simulation results show that in QAM 64 the PSNR value is 35.2 dB to 36.6 dB. The PSNR value decreases as the M-ary increases. PSNR at 256 QAM ranges from 25.9 to 26.5 dB. PSNR in QAM 1024 is stable at magnitude 16.3 to 16.5. Whereas PSNR in QAM 4096 ranged from 15.0 to 15.25. From this study shows the greater the value of PSNR, the quality of information sent is increasingly similar. In addition, the higher the M-ary, the data carried will also be large so as to speed up the transmission time.Keywords: Terahertz, QAM, PSNR, Video, Simulation Di era saat ini komunikasi memiliki berbagai tantangan yang meliputi intesitas pertukaran informasi yang lebih sering, besarnya informasi yang dibawa dan kecepatan dalam bertukar informasi. Komunikasi tidak hanya berupa text dan suara namun juga berupa gambar dan video. Penelitian ini mencoba menggunakan data digital berupa video dengan tujuan memberikan pandangan tentang simulasi pengukuran PSNR. Metode digunakan yaitu modulasi QAM 64, 256, 1024 dan 4096 melalui kanal terahertz (0.1-10 THz). Hasil simulasi menunjukkan pada QAM 64 nilai PSNR sebesar  35.2 dB hingga 36.6 dB. Nilai PSNR menurun seiring bertambahnya M-ary. PSNR pada QAM 256 di rentang 25.9 hingga 26.5 dB. PSNR pada QAM 1024 stabil di besaran 16.3 sampai 16.5. Sedangkan PSNR pada QAM 4096 di rentang 15.0 hingga 15.25. Dari penelitian ini menunjukkan semakin besar nilai PSNR maka kualitas informasi yang dikirimkan semakin mirip. Selain itu semakin tinggi M-ary maka data yang dibawa pun juga ikut besar sehingga mempercepat waktu transimisi. Kata kunci: Terahertz, QAM,PSNR, Video, Simulasi
PENGEMBANGAN SOLAR PHOTOVOLTAIC SYSTEM DENGAN MPPT UNTUK TEKNOLOGI IOT- SEMAR Putra Asmara Danu; Erik Tridianto; Sritrusta Sukaridhoto
PROSIDING SNAST Prosiding SNAST 2018
Publisher : IST AKPRIND Yogyakarta

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

Abstract

Photovoltaic system is one of renewable energy applied to industrial equipments and public facilities. The case study in this study was demonstrated by the design of photovoltaic systems on the Internet of Things (IoT) technology of Smart Environment Monitoring and Real Time System Analytics (SEMAR). IoT - SEMAR is designed on a ship prototype consisting of motor drives, servo motors, and raspberry pi. Photovoltaic system design process is done by considering location, electric energy consumption per day, and solar radiation with the aim of obtaining efficient design. From the calculation obtained solar photovoltaic capacity of 50 Wp / 18 V, with a storage battery of 17 Ah / 12 V. The results obtained by considering the accumulation of power consumption per day multiplied by a correction factor of 1.3. Based on the measurement, the driving force requires energy of 51 Wh, a servo motor of 1.5 Wh, and raspberry pi of 52 Wh so that the energy requirement per day is obtained by 105 Wh. For more effective electrical energy absorption, solar charge is used with Maximum Power Point Tracking (MPPT) with 5 A capacity. The test result through direct hardware application shows that the design with the addition of MPPT solar charge can produce 140 Wh / day, which is enough to operate IoT - SEMAR non-stop. This procedure is compatible for designing off-grid photovoltaic applications, particularly those located in remote locations.
Comparison of cloud computing providers for development of big data and internet of things application Muhammad Fajrul Falah; Yohanes Yohanie Fridelin Panduman; Sritrusta Sukaridhoto; Arther Wilem Cornelius Tirie; M. Cahyo Kriswantoro; Bayu Dwiyan Satria; Saifudin Usman
Indonesian Journal of Electrical Engineering and Computer Science Vol 22, No 3: June 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v22.i3.pp1723-1730

Abstract

The improved technology of big data and the internet of things (IoT) increases the number of developments in the application of smart city and Industry 4.0. Thus, the need for high-performance cloud computing is increasing. However, the increase in cloud computing service providers causes difficulties in determining the chosen service provider. Therefore, the purpose of this study is to make comparisons to determine the criteria for selecting cloud computing services following the system architecture and services needed to develop IoT and big data applications. We have analyzed several parameters such as technology specifications, model services, data center location, big data service, internet of things, microservices architecture, cloud computing management, and machine learning. We use these parameters to compare several cloud computing service providers. The results present that the parameters able to use as a reference for choosing cloud computing for the implementation of IoT and big data technology.
Peningkatan Pelaksanaan Wisuda Online SDIT AL-USWAH Surabaya 2020/2021 Rizqi Putri Nourma Budiarti; Endang Sulistyani; Devaldi Akbar; Septyan Diaz Anggoro; Sritrusta Sukaridhoto
PROSIDING SEMINAR NASIONAL PENGABDIAN KEPADA MASYARAKAT UNIVERSITAS NAHDLATUL ULAMA SURABAYA Vol. 1 No. 1 (2022): Prosiding Seminar Nasional Pengabdian Kepada Masyarakat : Perguruan Tinggi Meng
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1165.968 KB) | DOI: 10.33086/snpm.v1i1.834

Abstract

Wisuda online merupakan upacara peneguhan atau pelantikan bagi seorang seseorang yang telah selesai menempuh pendidikan yang dilakukan secara daring menggunakan layanan live streaming yang dapat dilihat melalui platform online oleh semua orang. Di kalangan akademik, wisuda merupakan penanda kelulusan siswa yang telah menyelesaikan masa belajarnya. Biasanya prosesi wisuda dilakukan dengan mengadakan berbagai acara perayaan untuk merayakan keberhasilan, suka cita siswa bersama keluarga, teman dan guru-guru di sekolahnya. Namun, dikarenakan situasi pandemi Covid-19 yang menyebabkan prosesi wisuda ini dilakukan secara online. Wisuda online SDIT Al-Uswah Surabaya diadakan secara online untuk kedua kalinya dimana mulai dari persiapan sampai dengan pelaksanaannya di lakukan selama 2 minggu. Wisuda online yang pertama menitikberatkan pada cost-effective pada pelaksanaan online. Sedangkan pada Wisuda online tahun ke 2 ini, dilakukan dengan peningkatan beberapa hal padapelaksanaan wisuda online dan tidak hanya terbatas pada cost-effective saja. Hasil dari pelaksanaan wisuda online kedua ini, terdapat peningkatan dari sisi penggunaan design arsitektur wisuda online, soundeffective, operator, dan design video, susunan acara, serta kepuasan feedback peserta dan tim wisuda online 2021. Peningkatan Pelaksanaan Wisuda Online SDIT AL-USWAH Surabaya 2020/2021, tergantung pada waktu persiapan, kesesuaian susunan acara, kerjasama tim kepanitiaan dan peserta wisuda, sertakreatifitas inovasi dalam melakukan perbaikan pelaksanaan wisuda.
Co-Authors Achmad Basuki Adnan Rachmat Anom Besari agostinho marques ximenes Agus Prasetyo Ahmad Rifai Amang Sudarsono, Amang Andi Roy Arther Wilem Cornelius Tirie Budiarti, Rizqi Putri Nourma Dadet Pramadihanto Devaldi Akbar Dwi Kurnia Basuki Endang Sulistyani Erik Tridianto Funabiki Nobuo Hasan Basri Hasan Basri Heri Yulianus Herman Yuliandoko, Herman iwan Syarif Jordan Maulana M Udin Harun Al Rasyid, M Udin Harun M. Cahyo Kriswantoro Maulana, Jordan Muhammad Agus Zainuddin Muhammad Aksa Hidayat Muhammad Fajrul Falah Muhammad Iskandar Dzulqornain Nobuo Funabiki, Nobuo Purwoko, Agus Putra Asmara Danu Rahardhita Widyatra Sudibyo Riyadh Arridha Satria, Bayu Dwiyan Septyan Diaz Anggoro Son Kuswadi Subhan Khalilullah, Achmad Tamara Maharani Titing Magfirah Vivien Arief Wardhany Yohanes Yohanie Fridelin Panduman