Article Per Year (5 Year)
p-Index From 2019 - 2024
2.031
P-Index
This Author published in this journals
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

Published : 26 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Perfecting a Video Game with Game Metrics

 1 
Implementation of Integration VaaMSN and SEMAR for Wide Coverage Air Quality Monitoring Yohanes Yohanie Fridelin Panduman; Adnan Rachmat Anom Besari; Sritrusta Sukaridhoto; Rizqi Putri Nourma Budiarti; Rahardhita Widyatra Sudibyo; Funabiki Nobuo
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 6: December 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i6.10152

Abstract

The current air quality monitoring system cannot cover a large area, not real-time and has not implemented big data analysis technology with high accuracy. The purpose of an integration Mobile Sensor Network and Internet of Things system is to build air quality monitoring system that able to monitor in wide coverage. This system consists of Vehicle as a Mobile Sensors Network (VaaMSN) as edge computing and Smart Environment Monitoring and Analytic in Real-time (SEMAR) cloud computing. VaaMSN is a package of air quality sensor, GPS, 4G WiFi modem and single board computing. SEMAR cloud computing has a time-series database for real-time visualization, Big Data environment and analytics use the Support Vector Machines (SVM) and Decision Tree (DT) algorithm. The output from the system are maps, table, and graph visualization. The evaluation obtained from the experimental results shows that the accuracy of both algorithms reaches more than 90%. However, Mean Square Error (MSE) value of SVM algorithm about 0.03076293, but DT algorithm has 10x smaller MSE value than SVM algorithm.
Integration of IoT and chatbot for aquaculture with natural language processing M. Udin Harun Al-Rasyid; Sritrusta Sukaridhoto; Muhammad Iskandar Dzulqornain; Ahmad Rifai
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 2: April 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i2.14788

Abstract

The development of internet of things (IoT) technology is very fast lately. One sector that can be implemented by IoT technology is the aquaculture sector. One important factor in the success of aquaculture is a good and controlled water quality condition. But the problem for the traditional aquaculture farmers is to monitor and increase the water quality quickly and efficiently. To resolve the above-mentioned problem, this paper proposes a real-time monitoring system for aquaculture and supported with chatbot assistant to facilitate the user. This system was composed of IoT system, cloud system, and chatbot system. The proposed system consists of 7 main modules: smart sensors, smart aeration system, local network system, cloud computing system, client visualization data, chatbot system, and solar powered system. The smart aeration system consists of NodeMCU, relay, and aerator. The smart sensors consist of several sensors such as dissolved oxygen, pH, temperature, and water level sensor. Natural language processing is implemented to build the chatbot system. By combining text mining processing with naive Bayes algorithm, the result shows the very good performance with high precision and recall for each class to monitor the quality of water in aquaculture sector.
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