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All Journal Perfecting a Video Game with Game Metrics JEES (Journal of English Educators Society) BACA: Jurnal Dokumentasi dan Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JAS-PT Jurnal Analisis Sistem Pendidikan Tinggi ILKOM Jurnal Ilmiah Petir Indonesian Journal of Electrical Engineering and Computer Science Jurnal Kajian Ilmiah Jurnal Nasional Teknik Elektro dan Teknologi Informasi International Journal of Applied Science and Sustainable Development (IJASSD)
Heru Sukoco
Institut Pertanian Bogor
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences

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Accelerating Computation of DNA Multiple Sequence Alignment in Distributed Environment Ramdan Satra; Wisnu Ananta Kusuma; Heru Sukoco
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 12: December 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Multiple sequence alignment (MSA) is a technique for finding similarity in many sequences. This technique is very important to support many Bioinformatics task such as identifying Single Nucleotide Polymorphism (SNP) and metagenome fragments binning. The simplest algorithm in MSA is Star Algorithm. The complexity of DNA multiple sequence alignment using dynamic programming technique is very high. This research aims to accelerate computation of Star Mutiple Sequence Alignment using Message Passing Interfaces (MPI). The performance of the proposed method was evaluated by calculating speedup. Experiment was conducted using 64 sequences of 800 bp Glycine-max-chromosome-9-BBI fragments yielded by randomly cut from reference sequence of Glycine-max-chromosome-9-BBI taken from NCBI (National Center for Biotechnology Information). The results showed that the proposed technique could obtain speedup three times using five computers when aligning 64 sequences of Glycine-max-chromosome-9-BBI fragments.  Moreover, the increasing of the number of computers would significantly increased speedup of the proposed. http://dx.doi.org/10.11591/telkomnika.v12i12.6572 
Weed Detection Using Fractal-Based Low Cost Commodity Hardware Raspberry Pi Mohamad Iqbal Suriansyah; Heru Sukoco; Mohamad Solahudin
Indonesian Journal of Electrical Engineering and Computer Science Vol 2, No 2: May 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v2.i2.pp426-430

Abstract

Conventional weed control system is usually used by spraying herbicides uniformly throughout the land. Excessive use of herbicides on an ongoing basis can produce chemical waste that is harmful to plants and soil. The application of precision agriculture farming in the detection process in order to control weeds using Computer Vision On Farm becomes interesting, but it still has some problems due to computer size and power consumption. Raspberry Pi is one of the minicomputer with low price and low power consumption. Having computing like a desktop computer with the open source Linux operating system can be used for image processing and weed fractal dimension processing using OpenCV library and C programming. This research results the best fractal computation time when performing the image with dimension size of 128 x 128 pixels. It is about 7 milliseconds. Furthermore, the average speed ratio between personal computer and Raspberry Pi is 0.04 times faster. The use of Raspberry Pi is cost and power consumption efficient compared to personal computer.
Parallel Processing Implementation on Weather Monitoring System for Agriculture Dwi Susanto; Kudang Boro Seminar; Heru Sukoco; Liyantono Liyantono
Indonesian Journal of Electrical Engineering and Computer Science Vol 6, No 3: June 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v6.i3.pp682-687

Abstract

Weather monitoring and forecasting are very important in agricultural sectors. There are several data need to be collected in real-time to support weather monitoring and forecasting systems, such as temperature, humidity, air pressure, wind speed, wind direction, and rainfall. The purpose of this research to develop a real-time weather monitoring system using a parallel computation approach and analyze the computational performance (i.e., speed up and efficiency) using the ARIMA model. The developed system wireless has been implemented on sensor networks (WSN) platform using Arduino and Raspberry Pi devices and web-based platform for weather visualization and monitoring. The experimental data used in our research work is a set of weather data acquired and collected from January until March 2017 in Bogor area. The result of this research is that the speed up of the using eight processors computation three times faster than using a single processor, with the efficiency of 50%.
MOBILE INTERNET-BASED LEARNING TO CULTIVATE STUDENTS’ SPEAKING SKILL DURING CORONAVIRUS PANDEMIC Ida Ayu Made Sri Widiastuti; Ida Bagus Nyoman Mantra; Heru Sukoco
International Journal of Applied Science and Sustainable Development (IJASSD) Vol. 2 No. 1 (2020): International Journal of Applied Science and Sustainable Development (IJASSD)
Publisher : Unmas Press

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Abstract

Coronavirus pandemic has been spreading in Indonesia and influences the way of Indonesian life. In the education sector, the coronavirus pandemic has forced teachers to conduct all the learning activities from home. The present study dealt with teaching speaking skill through mobile internet-based learning during the coronavirus pandemic where all students had to learn from their own home. The present online learning conducted in two cyclic sessions by making use of pre-test and post-test research design with descriptive and quantitative analysis to collect the required data. The grand mean figures for the first cycle and second cycle showed convincing findings since the mean figure of the initial reflection is much lower than the corresponding mean figures obtained for each session. Therefore mobile internet-based learning is considered to be an effective way of learning during coronavirus pandemic in Indonesia.
Sistem Akuisisi Data Multi Node untuk Irigasi Otomatis Berbasis Wireless Sensor Network Chaerur Rozikin; Heru Sukoco; Satyanto Krido Saptomo
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 6 No 1: Februari 2017
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

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Abstract

Watering plants is one of farmer’s activities. Most of Indonesian farmers use traditional watering method to water plants. It causes water productivity unmanaged properly and soil moisture level can not be monitored. To resolve these problems, an automatic watering system is developed. This system uses soil moisture sensors which provide real-time data. Data from multiple sensor node will be transmitted through wireless sensor network. LED in actuator node will turn on or off based on lower and upper set point values transmitted from coordinator node. Soil moisture sensors are calibrated using groundwater level to obtain correlation between sensor and groundwater level. Delay, throughput, and packet loss ratio are measured and result 0.2 seconds, 1.6 kbps, and 1.6%, respectively. These values showed that all automatic watering system were well implemented.
Co-Authors Ahmad Luky Ramdani Ali Khumaidi Andri Hidayat Aris Purwanto Astried Silvanie Auriza Rahmad Akbar Chaerur Rozikin Dadan Irwan Debby Maureen Talumewo Dwi Susanto Erika Nachrowi Erliza Hambali Fahren Bukhari Hendra Rahmawan Hendra Rahmawan Hermawan Prasetya dan Taufik Djatna Husin Alatas Ida Ayu Made Sri Widiastuti Ida Bagus Nyoman Mantra Irman Hermadi Jaya Sena Turana Kudang Boro Seminar Liyantono . Made Hery Santosa MAMAT RAHMAT Mohamad Iqbal Suriansyah Mohamad Solahudin Muhammad Fuad Muhammad Fuad Muhammad Iqbal Muhammad Iqbal Pizaini Pizaini Ramdan Satra Ravie Kurnia Laday Satyanto Krido Saptomo Shelvie Nidya Neyman Sitanggang, Imas S. Siti Yuliyanti, Siti Sony Hartono Wijaya Sugi Guritman Wahjuni, Sri Wisnu Ananta Kusuma Yan Mitha Djaksana Yani Nurhadryani Yanto Hermawan Yuggo Afrianto Yunita Fauzia Achmad