Indonesian Journal of Electronics and Instrumentation Systems
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems), a two times annually provides a forum for the full range of scholarly study. IJEIS scope encompasses all aspects of Electronics, Instrumentation and Control. IJEIS is covering all aspects of Electronics and Instrumentation including Electronics and Instrumentation Engineering.
Articles
300 Documents
<![CDATA[Metode Routing Protokol LEACH pada Jaringan Sensor Nirkabel Studi Kasus Sistem Pemantauan Suhu dan Kelembaban Udara ]]>
<![CDATA[Raden Sumiharto]]>;
<![CDATA[Rosyidatul Ilma]]>;
<![CDATA[Rif’Atunnisa Rif’Atunnisa]]>
<![CDATA[ IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 9, No 1 (2019): April ]]>
Publisher : <![CDATA[IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia. ]]>
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DOI: 10.22146/ijeis.44449
<![CDATA[Wireless Sensor Network (WSN) is a wireless network consisting of a group of nodes scattered in a certain area. Each node has the ability to gather data around it and communicate with other nodes. In WSN, energy efficiency is important to maintain the lifetime of a network. A WSN consisting of several clusters and having a Cluster Head (CH) in each cluster requires a CH change mechanism in each cluster so that the network lifetime is longer.The LEACH algorithm is implemented on a system consisting of 9 sensor nodes and 1 sink node. Each sensor node monitors the temperature and humidity of the surrounding air. System testing is done by varying the number of data snippets per CH selection process in each LEACH cycle. Based on the results of testing, the application of the LEACH algorithm can increase network lifetime. The LEACH algorithm with 70 data snippets is an optimal state that results in a network lifetime of 7,387 seconds, whereas with the same number of data snippets when using a non-LEACH algorithm the network lifetime can only reach 5,565 seconds. ]]>
<![CDATA[Navigasi Robot Mobile Pada Lingkungan Tak Pasti Dengan Pendekatan Behavior Based Control ]]>
<![CDATA[Ilona Usuman]]>;
<![CDATA[Widodo Prijodiprodjo]]>;
<![CDATA[Prima Asmara Sejati]]>
<![CDATA[ IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 9, No 1 (2019): April ]]>
Publisher : <![CDATA[IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia. ]]>
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DOI: 10.22146/ijeis.44751
<![CDATA[Robots have been widely used to reach difficult environments or terrain such as disaster areas, wilderness and ruins of buildings. However, to reach these areas, there are many constraints on the limitations of robotic navigation because of the dynamic terrain. Therefore, a behavioral based control algorithm is needed that can make robots adapt flexibly to their environment.On the scheme of this behavior based control the robot moves based on its tasks. Each task is defined as robotic behavior. Each behavior take input from the sensor and send output to the effector. At each behavior there is a sensor as input for robot that work according to the stages in navigation to overcome uncertain obstacles. The results of the study show that robot can explore, avoid obstacles and reach the final destination.]]>
<![CDATA[Model Identifikasi Kata Ucapan Tuna Wicara ]]>
<![CDATA[Nuruddin Wiranda]]>;
<![CDATA[Agfianto Eko Putro]]>
<![CDATA[ IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 9, No 2 (2019): October ]]>
Publisher : <![CDATA[IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia. ]]>
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DOI: 10.22146/ijeis.47609
<![CDATA[Speech impaired is the inability of someone to speak, even though speaking ability is important in order to communicate with other people. Dealing with this as someone who has speech impairments has their own way of communicating, namely by using sign language, but not everyone understands the sign language. The MFCC and Backpropagation ANN methods are implemented on a Single Board Computer (SBC) designed to overcome speech impaired communication problems. The MFCC method is used to retrieve the features of speech impairment and the Backpropagation ANN is used for sound pattern recognition.The system was trained using 750 sound samples consisting of 5 speakers, each uttering as many as 30 repetitions of the pronunciation of words (makan, kamar, kerja, harga and lapar), then tested using 125 sound samples consisting of 5 speakers, each saying 5 repetitions of words. Training and testing of Backpropagation ANN using input coefficients generated from MFCC. The results showed that the MFCC and Backpropagation ANN methods were able to identify speech words with 60% accuracy, 40% precision and 40% sensitivity.]]>
<![CDATA[Analisis Respons Sensor Electroni Tongue terhadap Sampel Ganja menggunakan Support Vector Machine ]]>
<![CDATA[Wikan Haryo Rahmantyo]]>;
<![CDATA[Danang Lelono]]>
<![CDATA[ IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 9, No 2 (2019): October ]]>
Publisher : <![CDATA[IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia. ]]>
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DOI: 10.22146/ijeis.49173
<![CDATA[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.]]>
<![CDATA[Desain Kontrol Sistem Telemetri pH Larutan Nutrisi Hidroponik Berbasis Fuzzy Logic ]]>
<![CDATA[Muhtar Muhtar]]>;
<![CDATA[Zulmiftah Huda]]>
<![CDATA[ IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 9, No 2 (2019): October ]]>
Publisher : <![CDATA[IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia. ]]>
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DOI: 10.22146/ijeis.49198
<![CDATA[The utilization of bare areas like narrow tract, building roof, or unused warehouse can be maximized as agricultural land using hydroponics system. Hydroponics is a cultivation technique by using nutrient solution. The plant nutrient is an alternative soil which relate with water acidity (pH), that has reaction with nutrient solubility to plant fertility. In fact, pH of the nutrients can change because of many factors like media of plant. The temperature of nutrient solution affect an ion nutrient absorption by plant root. The higher temperature reduces plant root ability to absorb water and ion nutrients. The more advanced technological developments, the agriculture can be controlled automatically and monitored remotely. The aim of this research is to make design control ph, volume and nutrients solution using fuzzy logic and zigbee pro communication for telematics control of plant hydroponics. The result of this experiment shown that fuzzy logic has effectiveness to control pH of hydroponics. It needs 429 seconds to setting point of range pH 5 ppm to 7 ppm and 459 seconds to setting point of range pH 9 ppm to 7 ppm.]]>
<![CDATA[Klasifikasi Tingkat Kemurnian Bahan Bakar Minyak Berdasarkan Cepat Rambat Gelombang Menggunakan Algoritma K-Nearest Neighbor ]]>
<![CDATA[Rangga Pujianto Wijaya]]>;
<![CDATA[Abdul Rouf]]>;
<![CDATA[Tri Wahyu Supardi]]>
<![CDATA[ IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 9, No 2 (2019): October ]]>
Publisher : <![CDATA[IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia. ]]>
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DOI: 10.22146/ijeis.49660
<![CDATA[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%.]]>
<![CDATA[Klasifikasi Sel Darah Putih dan Sel Limfoblas Menggunakan Metode Multilayer Perceptron Backpropagation ]]>
<![CDATA[Apri Nur Liyantoko]]>;
<![CDATA[Ika Candradewi]]>;
<![CDATA[Agus Harjoko]]>
<![CDATA[ IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 9, No 2 (2019): October ]]>
Publisher : <![CDATA[IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia. ]]>
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DOI: 10.22146/ijeis.49943
<![CDATA[ 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%.]]>
<![CDATA[Pertautan Citra Tampak Atas dengan Metode Stereoskopik untuk Menghilangkan Distorsi Perspektif ]]>
<![CDATA[Endang Pertiwi]]>;
<![CDATA[Bambang Nurcahyo Prastowo]]>;
<![CDATA[Lukman Awaluddin]]>
<![CDATA[ IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 9, No 2 (2019): October ]]>
Publisher : <![CDATA[IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia. ]]>
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DOI: 10.22146/ijeis.50019
<![CDATA[Stitching citra with different object’s depth and disposed close to the camera willing caused panoramic citra with distortion perspective (caused double or disappear object) because the camera see in two dimension with large horizontal disparity by each camera. For solve that problem, stereoscopic method purpose to give depth perception of three dimension from two images with same background so information of depth by the object be able to get with intuitive way.This research presented system with ROI segmentation for any static objects, stitching for each objects and combine them become a panoramic image then shown in citra panoramic. SIFT descriptor used for detect and extract feature from the images. The result of this system successful presented combination for stitching by the static objects.]]>
<![CDATA[Sistem Pengenal Isyarat Tangan Untuk Mengendalikan Gerakan Robot Beroda menggunakan Convolutional Neural Network ]]>
<![CDATA[Habib Astari Adi]]>;
<![CDATA[Ika Candradewi]]>
<![CDATA[ IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 9, No 2 (2019): October ]]>
Publisher : <![CDATA[IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia. ]]>
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DOI: 10.22146/ijeis.50208
<![CDATA[Currently, Human and computer interaction is generally done using a remote control. This approach tends to be impractical for wheeled robot operation because it must always carry an intermediary tool during the operation. The application of hand gesture recognition using digital image processing techniques and machine learning in the control process of wheeled robots will facilitate the control of wheeled robots because control no longer requires an intermediary tool.In this study, hand image taken using a camera then will be processed using a single board computer to be recognized. The results of recognized are passed on to arduino leonardo and DC motor to control twelve wheeled robot movement. The method used in this study is contrast stretching for preprocessing and Convolutional Neural Network (CNN) for hand recognition. This method is tested with a variation of bright 26-140 lux, the distance from the face to the camera is 120-200cm. Hand recognition systems using this method resulting accuracy 97,5%, precision 97,57%, sensitivity 97.5%, spesificity 99,77 and f1 score 97.45%.]]>
<![CDATA[Peningkatan Skalabilitas Mini Weather Station Portable berbasis Internet of Things ]]>
<![CDATA[Nur Achmad Sulistyo Putro]]>;
<![CDATA[Catur Atmaji]]>;
<![CDATA[Kristiawan Devianto]]>;
<![CDATA[Zandy Yudha Perwira]]>
<![CDATA[ IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 9, No 2 (2019): October ]]>
Publisher : <![CDATA[IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia. ]]>
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DOI: 10.22146/ijeis.50377
<![CDATA[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.]]>
