IJEIS Indonesian Journal of Electronics and Instrumentation Systems最新文献_第9页

Peningkatan Skalabilitas Mini Weather Station Portable berbasis Internet of Things 迷你气象站便携式物联网可扩展性增强

IJEIS Indonesian Journal of Electronics and Instrumentation Systems Pub Date : 2019-10-31 DOI: 10.22146/ijeis.50377

N. Putro, Catur Atmaji, Kristiawan Devianto, Zandy Yudha Perwira

{"title":"Peningkatan Skalabilitas Mini Weather Station Portable berbasis Internet of Things","authors":"N. Putro, Catur Atmaji, Kristiawan Devianto, Zandy Yudha Perwira","doi":"10.22146/ijeis.50377","DOIUrl":"https://doi.org/10.22146/ijeis.50377","url":null,"abstract":"Indonesia is a country that has unique weather that provides not only abundant natural resources but also can causes disasters at any time. To reduce the threat of losses, observing weather elements using a weather station is a solution that can be used. The development of systems related to environmental monitoring and weather stations is not new. However, most research focuses on various innovations in utilization, low cost and power savings. These studies have not touched on the aspect of ease of system development, especially in the concept of adding nodes. Indonesia, as a country with diverse regional topography, needs an integrated weather monitoring system with the concept of centralized data collection to get a complete picture.In this study, a portable mini weather station system was built named Amicagama. This system is built with the concept of high scalability which means the system is designed to be used publicly, with each user able to manage the nodes which are their respective weather stations. Management by each user here means that each user can manage weather data to be submitted, add nodes at a new location, and can delete nodes at a certain location if something unexpected happens.","PeriodicalId":31590,"journal":{"name":"IJEIS Indonesian Journal of Electronics and Instrumentation Systems","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49072291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Sistem Pengukuran Nitrogen, Fosfor, Kalium Dengan Local Binary Pattern Dan Analisis Regresi 局部二元模式氮磷钾测定系统及其回归分析

IJEIS Indonesian Journal of Electronics and Instrumentation Systems Pub Date : 2019-10-31 DOI: 10.22146/IJEIS.34132

Muhammad Miftahul Amri, R. Sumiharto

{"title":"Sistem Pengukuran Nitrogen, Fosfor, Kalium Dengan Local Binary Pattern Dan Analisis Regresi","authors":"Muhammad Miftahul Amri, R. Sumiharto","doi":"10.22146/IJEIS.34132","DOIUrl":"https://doi.org/10.22146/IJEIS.34132","url":null,"abstract":"Nitrogen, Phosphorus and Potassium (NPK) are macro elements that important for the paddy development. NPK is a parameter that used for calculating fertilizer dosage. Current NPK measurement through laboratory requires a relatively long time, so we design a new system that can speed up the process and provide correct fertilizer dosage recommendations.This paper proposes an android based system using Local Binary Pattern (LBP) and Regression Analysis to measure soil nutrients and provide fertilizer dosage recommendations based on the LPT Bogor's formula. Samples of soil image taken from rice fields in Special Region of Yogyakarta. The measurement is processed by extracting LBP features from the soil image that has through the pre-processing stage. The extraction results were then analyzed using Multiple Linear Regression (MLR). The equation results from MLR is used to calculate NPK.The results show that the proposed system can detect NPK levels in paddy fields in Yogyakarta and provide fertilization dosage with an average detection accuracy of 70.65% (N 94.98%, P 50.84 %, and K 66.14%). The accuracy was obtained from the image taking at an optimal height of 70 cm and optimal angle of 0o to the ground surface. The average processing time is 0.61 seconds.","PeriodicalId":31590,"journal":{"name":"IJEIS Indonesian Journal of Electronics and Instrumentation Systems","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44528836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Klasifikasi Sel Darah Putih dan Sel Limfoblas Menggunakan Metode Multilayer Perceptron Backpropagation 利用多层感知器反向传播法对白细胞和淋巴结进行分类

IJEIS Indonesian Journal of Electronics and Instrumentation Systems Pub Date : 2019-10-31 DOI: 10.22146/ijeis.49943

Apri Nur Liyantoko, I. Candradewi, Agus Harjoko

{"title":"Klasifikasi Sel Darah Putih dan Sel Limfoblas Menggunakan Metode Multilayer Perceptron Backpropagation","authors":"Apri Nur Liyantoko, I. Candradewi, Agus Harjoko","doi":"10.22146/ijeis.49943","DOIUrl":"https://doi.org/10.22146/ijeis.49943","url":null,"abstract":" Leukemia is a type of cancer that is on white blood cell. This disease are characterized by abundance of abnormal white blood cell called lymphoblast in the bone marrow. Classification of blood cell types, calculation of the ratio of cell types and comparison with normal blood cells can be the subject of diagnosing this disease. The diagnostic process is carried out manually by hematologists through microscopic image. This method is likely to provide a subjective result and time-consuming.The application of digital image processing techniques and machine learning in the process of classifying white blood cells can provide more objective results. This research used thresholding method as segmentation and multilayer method of back propagation perceptron with variations in the extraction of textural features, geometry, and colors. The results of segmentation testing in this study amounted to 68.70%. Whereas the classification test shows that the combination of feature extraction of GLCM features, geometry features, and color features gives the best results. This test produces an accuration value 91.43%, precision value of 50.63%, sensitivity 56.67%, F1Score 51.95%, and specitifity 94.16%.","PeriodicalId":31590,"journal":{"name":"IJEIS Indonesian Journal of Electronics and Instrumentation Systems","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44552558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Penggunaan Metode Ontology Untuk Perancangan Purwarupa Sistem Smart Home Berbasis Context Aware 基于Context的智能家庭系统原型的本体学方法的应用

IJEIS Indonesian Journal of Electronics and Instrumentation Systems Pub Date : 2019-10-31 DOI: 10.22146/IJEIS.39042

Guntur Perdana, A. Ashari

{"title":"Penggunaan Metode Ontology Untuk Perancangan Purwarupa Sistem Smart Home Berbasis Context Aware","authors":"Guntur Perdana, A. Ashari","doi":"10.22146/IJEIS.39042","DOIUrl":"https://doi.org/10.22146/IJEIS.39042","url":null,"abstract":" Smart home system is a computer-aided system that will provide all comfort, safety, security and energy savings, which works automatically and programmed through a computer in a building or home. One of the method that can be used to design smart home is context aware method. Context aware can work with the help of several other methods such as ontology method. Ontology has a variety of definition and always changes time by time. Ontology method is one of method that can process complex data. The ontology method allows complex reasoning and representation with better results. Constraints that are often encountered when designing a system that looks complex will face many problems such as many ambiguous domains. The existence of an ontology design before carrying out the prototype design of the smart home system will facilitate the smart home design process especially if the system will be made more complex so it would allows ambiguity from multiple domains. Testing with this ontology method is effective enough to minimize ambiguity from each domain, because each domain is designed with different characteristics. The results of the test concluded that the ontology design can be realized as a prototype of the smart home system.","PeriodicalId":31590,"journal":{"name":"IJEIS Indonesian Journal of Electronics and Instrumentation Systems","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48500149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Klasifikasi Tingkat Kemurnian Bahan Bakar Minyak Berdasarkan Cepat Rambat Gelombang Menggunakan Algoritma K-Nearest Neighbor 基于速度波长的K-近邻算法的燃油纯度分类

IJEIS Indonesian Journal of Electronics and Instrumentation Systems Pub Date : 2019-10-31 DOI: 10.22146/ijeis.49660

R. Wijaya, A. Rouf, Tri Wahyu Supardi

{"title":"Klasifikasi Tingkat Kemurnian Bahan Bakar Minyak Berdasarkan Cepat Rambat Gelombang Menggunakan Algoritma K-Nearest Neighbor","authors":"R. Wijaya, A. Rouf, Tri Wahyu Supardi","doi":"10.22146/ijeis.49660","DOIUrl":"https://doi.org/10.22146/ijeis.49660","url":null,"abstract":"The need for fuel oil has increased along with the increase of population, the number of vehicles and industries. An increase in demand for fuel oil is used by some people to make a profit by selling mixed fuel oil at the same price as the price set by the government. The purpose of this study is to create a prototype device that can characterize the type of fuel oil and create a classification system to determine the level of fuel purity with 40 kHz ultrasonic waves based on the parameters of wave velocity using the K-Nearest Neighbor (KNN) algorithm.This device works by using a 40 kHz ultrasonic wave that is connected to an ultrasonic transmitter. The propagated wave will be received by the ultrasonic receiver. The wave received by the receiver will be amplified and connected to the comparator circuit so that it can be processed by a microcontroller. Data obtained using this tool are wave travel time, wave velocity, density, and attenuation. The data used for classification systems using the KNN algorithm is wave velocity.Classification using the KNN algorithm can identify the level of fuel purity based on the parameters of the wave velocity obtained from ultrasonic wave gauges with an accuracy of 72.50%. Wave velocity which is measured using ultrasonic waves is directly proportional to the actual speed with the largest percentage of deviations that is 0.34%.","PeriodicalId":31590,"journal":{"name":"IJEIS Indonesian Journal of Electronics and Instrumentation Systems","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41791864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Pertautan Citra Tampak Atas dengan Metode Stereoskopik untuk Menghilangkan Distorsi Perspektif 图像的斜率与立体的方法以消除视角扭曲

IJEIS Indonesian Journal of Electronics and Instrumentation Systems Pub Date : 2019-10-31 DOI: 10.22146/ijeis.50019

Endang Pertiwi, B. Prastowo, Lukman Awaluddin

引用次数: 1

Desain Kontrol Sistem Telemetri pH Larutan Nutrisi Hidroponik Berbasis Fuzzy Logic 基于模糊逻辑的水培营养液溶液的遥测pH控制系统

IJEIS Indonesian Journal of Electronics and Instrumentation Systems Pub Date : 2019-10-31 DOI: 10.22146/IJEIS.49198

Muhtar Muhtar, Z. Huda

引用次数: 1

Analisis Respons Sensor Electroni Tongue terhadap Sampel Ganja menggunakan Support Vector Machine

IJEIS Indonesian Journal of Electronics and Instrumentation Systems Pub Date : 2019-10-31 DOI: 10.22146/ijeis.49173

Wikan Haryo Rahmantyo, Danang Lelono

{"title":"Analisis Respons Sensor Electroni Tongue terhadap Sampel Ganja menggunakan Support Vector Machine","authors":"Wikan Haryo Rahmantyo, Danang Lelono","doi":"10.22146/ijeis.49173","DOIUrl":"https://doi.org/10.22146/ijeis.49173","url":null,"abstract":"Electronic tongue sensors consisting of 16 sensor array made of TOMA and OA lipids that have been used to classify samples of pure cannabis, cannabis mixed with tea and cannabis mixed with tobacco does not involve the feature selection technique so that a lot of duplicated data is generated from data sampling. Feature selection is performed using PCA. Data analysis resulted in loading values shows the contribution of each sensor, and the similarity in sensor performance in characterizing samples, then analyzed using the correlation test so that the sensors that produce redundant information are known. Validation is performed using the SVM method and the classification performance is compared to the original sensor.The sensor optimization produces a subset of features with 6 sensors (Sensor 7, Sensor 10, Sensor 12, Sensors 13, Sensor 14 and Sensor 15) in the cannabis-tea sample test and a feature subset with 3 sensors (Sensor 3, Sensor 7 and Sensor 14) in the cannabis-tobacco sample test. Sensor optimization that has been done produced classification accuracy by 100% and shorten the running time by a difference of 0.578 microseconds in the test of cannabis-tea samples and a difference of 1.696 microseconds in the test of cannabis-tobacco samples.","PeriodicalId":31590,"journal":{"name":"IJEIS Indonesian Journal of Electronics and Instrumentation Systems","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43202734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Sistem Pengenal Isyarat Tangan Untuk Mengendalikan Gerakan Robot Beroda menggunakan Convolutional Neural Network 用卷积神经网络控制孤立机器人运动的手信号识别系统

IJEIS Indonesian Journal of Electronics and Instrumentation Systems Pub Date : 2019-10-31 DOI: 10.22146/IJEIS.50208

Habib Astari Adi, Ika Candradewi

引用次数: 3

Model Identifikasi Kata Ucapan Tuna Wicara 语言调识别模型

IJEIS Indonesian Journal of Electronics and Instrumentation Systems Pub Date : 2019-10-31 DOI: 10.22146/ijeis.47609

Nuruddin Wiranda, Agfianto Eko Putro

引用次数: 1