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All Journal IPTEK Journal of Proceedings Series Perfecting a Video Game with Game Metrics Jurnal Ilmiah Kursor EMITTER International Journal of Engineering Technology KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) JOIV : International Journal on Informatics Visualization INTEK: Jurnal Penelitian Applied Technology and Computing Science Journal Indonesian Journal of Electrical Engineering and Computer Science Prosiding SNAST
Stritusta Sukaridhoto
Graduate School of Informatics and Computer Engineering, Politeknik Elektronika Negeri Surabaya
Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences

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Aplikasi DIY Smart Trash berbasis IoT Open Platform Rizqi Putri Nourma Budiarti; Jordan Maulana; Sritrusta Sukaridhoto
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 1 No 2 (2018): December
Publisher : Unusa Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v1i2.857

Abstract

Sampah merupakan hal yang tidak asing lagi bagi manusia saat ini. Bagi orang-orang yang tidak bertanggung jawab akan berfikir bahwa sampah dapat dibuang dimana saja, bahkan ada yang meletakkan sampah dengan mudahnya sambil meninggalkan sampah tersebut secara sembarangan tanpa berpikir bahwa ada tempat sampah yang layak dan sesuai dengan peruntukannya. Ketidaksadaran dalam membuang sampah secara sembarangan inilah yang dapat merusak pemandangan di area sekitar tempat itu. Saat ini, sangat banyak produk-produk sampah yang pintar di pasaran dalam memecahkan permasalahan sampah bahkan memudahkan pemiliknya. Namun, produknya sangat mahal dan biasanya setiap orang sudah menyediakan tempat sampahnya sendiri dirumah. Oleh karena itu, kami mengusulkan sebuah aplikasi DIY (Do It Yourself) Smart Trash berbasis IoT (Internet of Things) Open Platform. Aplikasi DIY Smart Trash dengan IoT Open Platform ini terdiri dari platform terbuka yang menyediakan monitoring web dan visualisasi interaktif yang ditampilkan dalam dashboard, layanan MQTT (MQ Telemetry Transport), Kafka, database untuk menerima data dan push notification untuk dapat memberitahukan kepada pengguna. Kami juga mnggunakan sistem embedded dan menyediakan source code untuk Arduino, Redbear, Raspberry Pi3 dan Raspberry Pi Zero W untuk membangun DIY Smart Trash. Dengan menggunakan aplikasi DIY Smart Trash, secara tidak langsung dapat mengurangi biaya manajemen sampah di setiap rumah. Selain itu dari segi harga, DIY Smart Trash memiliki harga yang lebih terjangkau daripada yang lain.
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.
Indonesian Automatic Speech Recognition For Command Speech Controller Multimedia Player Vivien Arief Wardhany; Sritrusta Sukaridhoto; Amang Sudarsono
EMITTER International Journal of Engineering Technology Vol 2 No 2 (2014)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v2i2.25

Abstract

The purpose of multimedia devices development is controlling through voice. Nowdays voice that can be recognized only in English. To overcome the issue, then recognition using Indonesian language model and accousticc model and dictionary. Automatic Speech Recognizier is build using engine CMU Sphinx with modified english language to Indonesian Language database and XBMC used as the multimedia player. The experiment is using 10 volunteers testing items based on 7 commands. The volunteers is classifiedd by the genders, 5 Male & 5 female. 10 samples is taken in each command, continue with each volunteer perform 10 testing command. Each volunteer also have to try all 7 command that already provided. Based on percentage clarification table, the word “Kanan” had the most recognize with percentage 83% while “pilih” is the lowest one. The word which had the most wrong clarification is “kembali” with percentagee 67%, while the word “kanan” is the lowest one. From the result of Recognition Rate by male there are several command such as “Kembali”, “Utama”, “Atas “ and “Bawah” has the low Recognition Rate. Especially for “kembali” cannot be recognized as the command in the female voices but in male voice that command has 4% of RR this is because the command doesn’t have similar word in english near to “kembali” so the system unrecognize the command. Also for the command “Pilih” using the female voice has 80% of RR but for the male voice has only 4% of RR. This problem is mostly because of the different voice characteristic between adult male and female which male has lower voice frequencies (from 85 to 180 Hz) than woman (165 to 255 Hz).The result of the experiment showed that each man had different number of recognition rate caused by the difference tone, pronunciation, and speed of speech. For further work needs to be done in order to improving the accouracy of the Indonesian Automatic Speech Recognition system.Keywords: Automatic Speech Recognizer, Indonesian Acoustic Model, CMU Sphinx, indonesian Language Model, Recognition Rate, XBMC.
Performance of Implementation IBR-DTN and Batman-Adv Routing Protocol in Wireless Mesh Networks Herman Yuliandoko; Sritrusta Sukaridhoto; M Udin Harun Al Rasyid; Nobuo Funabiki
EMITTER International Journal of Engineering Technology Vol 3 No 1 (2015)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v3i1.32

Abstract

Wireless mesh networks is a network which has high mobility and flexibility network. In Wireless mesh networks nodes are free to move and able to automatically build a network connection with other nodes. High mobility, heterogeneous condition and intermittent network connectivity cause data packets drop during wireless communication and it becomes a problem in the wireless mesh networks. This condition can happen because wireless mesh networks use connectionless networking type such as IP protocol which it is not tolerant to delay. To solve this condition it is needed a technology to keep data packets when the network is disconnect. Delay tolerant technology is a technology that provides store and forward mechanism and it can prevent packet data dropping during communication. In our research, we proposed a test bed wireless mesh networks implementation by using proactive routing protocol and combining with delay tolerant technology. We used Batman-adv routing protocol and IBR-DTN on our research. We measured some particular performance aspect of networking such as packet loss, delay, and throughput of the network. We identified that delay tolerant could keep packet data from dropping better than current wireless mesh networks in the intermittent network condition. We also proved that IBR-DTN and Batman-adv could run together on the wireless mesh networks. In The experiment throughput test result of IBR-DTN was higher than Current TCP on the LoS (Line of Side) and on environment with obstacle.Keywords: Delay Tolerant, IBR-DTN, Wireless Mesh, Batman-adv, Performance
An Embedded System for applying High Performance Computing in Educational Learning Activity Irene Erlyn Wina Rachmawan; Nurul Fahmi; Edi Wahyu Widodo; Samsul Huda; M. Unggul Pamenang; M. Choirur Roziqin; Andri Permana W.; Stritusta Sukaridhoto; Dadet Pramadihanto
EMITTER International Journal of Engineering Technology Vol 4 No 1 (2016)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1553.613 KB) | DOI: 10.24003/emitter.v4i1.113

Abstract

HPC (High Performance Computing) has become more popular in the last few years. With the benefits on high computational power, HPC has impact on industry, scientific research and educational activities. Implementing HPC as a curriculum in universities could be consuming a lot of resources because well-known HPC system are using Personal Computer or Server. By using PC as the practical moduls it is need great resources and spaces.  This paper presents an innovative high performance computing cluster system to support education learning activities in HPC course with small size, low cost, and yet powerful enough. In recent years, High Performance computing usually implanted in cluster computing and require high specification computer and expensive cost. It is not efficient applying High Performance Computing in Educational research activiry such as learning in Class. Therefore, our proposed system is created with inexpensive component by using Embedded System to make High Performance Computing applicable for leaning in the class. Students involved in the construction of embedded system, built clusters from basic embedded and network components, do benchmark performance, and implement simple parallel case using the cluster.  In this research we performed evaluation of embedded systems comparing with i5 PC, the results of our embedded system performance of NAS benchmark are similar with i5 PCs. We also conducted surveys about student learning satisfaction that with embedded system students are able to learn about HPC from building the system until making an application that use HPC system.
Real Performance Evaluation On MQTT and COAP Protocol in Ubiquitous Network Robot Platform (UNRPF) for Disaster Multi-robot Communication Muhammad Ikrar Yamin; Son Kuswadi; Sritrusta Sukaridhoto
EMITTER International Journal of Engineering Technology Vol 6 No 2 (2018)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (808.632 KB) | DOI: 10.24003/emitter.v6i2.305

Abstract

Disaster multi-robot has a significant role in a disaster area to do many tasks like detection of fire, search and rescue of victims, etc. It needs to build good communication between the operator and multi-robot and among multi-robot themselves to perform their tasks quickly and efficiently. This relates with the queue message protocol system. In this research, we implemented the queue message protocol on mesh topology and integrated it on the robot platform. Recently, development of IoT (Internet of Things) Technology causes development of communication protocol. MQTT and CoAP are among the communication protocols used for IoT needs.  Both  protocols performance were compared when  used and implemented into disaster multi-robot. We also integrated MQTT protocol and robot  platform python based (UNR-PF). The result shows that MQTT protocol is easier to be  implemented on to disaster multi-robot platform (UNR-PF) on mesh topology than CoAP, and that data transfer rate of MQTT protocol has data transfer rate higher than CoAP.
Implementation of Oxymetry Sensors for Cardiovascular Load Monitoring When Physical Exercise Dhodit Rengga Tisna; M. Udin Harun Al Rasyid; Sritrusta Sukaridhoto
EMITTER International Journal of Engineering Technology Vol 8 No 1 (2020)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v8i1.482

Abstract

The performance condition of an athlete must always be maintained, one way to maintain that performance is by training. Each individual has different abilities and physiological responses in receiving the portion of the exercise. Physical exercise that exceeds the body's ability can worsen the condition of the athlete itself which can result in excessive fatigue (overtraining) or can even result in injury. Therefore a system is needed to monitor the condition of the physiological response when given the intensity of the training load so that the portion of the training provided provides positive benefits for the athlete. This system was developed using an oxymetry sensor, microcontroller and wifi module ESP8266. This system is used to collect heart rate and oxygen saturation data, then with the existing formula the heart rate value is converted to a CVL (Cardiovascular Load) value to determine the level of fatigue in athletes when given the intensity of the training load. By using a web-based application, measurement data is displayed in realtime to make it easier to see the results of monitoring. From the experimental results the system can monitor changes in the physiological condition of the athlete when given the intensity of the training load. Finally, the developed system can collect athlete's physiological data, and can store the data in a database and display it in a web application.
Co-Authors Achmad Basuki Achmad Basuki Adnan Rachmat Anom Besari Afis Asryullah Pratama Agostinho Marques Ximenes agostinho marques ximenes Agus Prasetyo Ahmad Rifai Alfandino Rasyid Amang Sudarsono, Amang Anang Tjahjono, Anang Andi Roy Andri Permana W. Arther Wilem Cornelius Tirie Budiarti, Rizqi Putri Nourma Dadet Pramadihanto Dhodit Rengga Tisna Dwi Kurnia Basuki Edi Wahyu Widodo Erik Tridianto Evianita Dewi Fajrianti Funabiki Nobuo Hasan Basri Hasan Basri Heri Yulianus Herman Yuliandoko Herman Yuliandoko, Herman Idris Winarno Irene Erlyn Wina Rachmawan iwan Syarif Jamal Abdul Nasyir Jordan Maulana M Udin Harun Al Rasyid, M Udin Harun M. Cahyo Kriswantoro M. Choirur Roziqin M. Unggul Pamenang Maulana, Jordan Muhammad Agus Zainuddin Muhammad Aksa Hidayat Muhammad Aksa Hidayat Muhammad Fajrul Falah Muhammad Fajrul Falah Muhammad Iskandar Dzulqornain Nobuo Funabiki Nobuo Funabiki, Nobuo Nurul Fahmi Putra Asmara Danu Rahardhita Widyatra Sudibyo Riyadh Arridha Saifudin Usman Samsul Huda Satria, Bayu Dwiyan Son Kuswadi Son Kuswadi Subhan Khalilullah, Achmad Tamara Maharani Titing Magfirah Vivien Arief Wardhany Yamin, Muhammad Ikrar Yohanes Yohanie Fridelin Panduman Yohanes Yohanie Fridelin Panduman