Journal of Telematics and Informatics
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DESIGN OF RESIDENTIAL SAFETY SYSTEM USING E-KTP
Get PDFResidential security applications by using computer technology has grown rapidly. Motion detectors, contacts on doors and windows, sirens, and a leading provider of security services for housing security management has been widely applied in electronic-based. A simple and practical use of residential security application could improve the performance efficiently and savings the cost. e-KTP card as RFID-based is used for single sign-on access on residential security areas. A reader-tag generates passively electromagnetic waves which inductances the carrier frequency of 13, 56 Mhz which produce output power around 30 dbm is assumed. In order to improved the security performance, e-KTP is integrated with software system using delphi 8.0. Theoritical results shows that a reading tag capability has measures the distance is λ = 0 cm to 2 cm has been achieved. Moreover, e-KTP is sufficient for actively sensed by reader tag. At the λ = 1 cm (0.01 m), Pt = 1 watt, therefore the received power is 0.0011 watt (0.4 dbm). This power has induced by reader tag to generate power in e-KTP. The results shows that the more distances are longer, the greater power is needed to induces e-KTP by reader tag. Keywords: e-KTP, RFID reader, Residential Security Managemen
Cosine Similarity Measurement for Indonesian Publication Recommender System
Get PDFSo many publications are increasing every year and it causes an overflow of data and it makes the information function on the site cannot be delivered entirely to the visitors. As a scientific publication site, the IPI garuda portal (Index of Indonesian publications) has more than 4000 Indonesian journals in the database. Therefore it will be designed a system that can provide information and knowledge for the user. The system can also provide recommendations related articles and relevant for users. Recommendations are made by calculating similarities between related documents. The similarity calculation method used in this research was cosine similarity. The steps taken were pre-processed, weight calculation, vector length and then they were calculated using cosine similarity so that the value would be achieved that ranged from 0 to 1. Performance testing of recommendation system used precision and recall. Performance system with average precision value about 0.664 meant that the document had good system accuracy, and then the average recall point with value about 0.962 meant that documents were successfully returned by the system
Expert System on Soybean Disease Using Knowledge Representation Method
Get PDFSoybean (Glycine mx L.) is one of the important strategic commodity in Indonesia which is cultivated widely. Soybean demand continues rise increasly demand for soy as food industry ingredients such as tofu, tempeh, soy milk soy tauco and snack. However, efforts to increase the production and development of soybean agribusiness has some constraints that may reduce production by 50% due to certain diseases. The situation is of course very detrimental to soybeans in particular and the public in general. But the farmers have very low knowledge about the technical maintenance of the soybean crop. These circumstances resulted in a high dependence of farmers on crop pest controllers are limited. To overcome these problems was made based application based mobile operating system Android. However, mobile devices have limitations in computing resources ranging from the ability of the processor to the memory capacity. To optimize computing resources on mobile devices, we need a method of knowledge representation that consists of a frame-based and rule-based representation with the rules or rule that is used to determine whether the peanut plants infected with certain diseases, in which the types of diseases that can be detected on do this thesis includes diseases of bacterial pustules, antarchnose disease, mosaic virus disease, damping, rust disease and blight. then analyzed knowledge representation which is the most optimal. This can be done by comparing the scenario some knowledge of the representation of the level of validity and cases symptoms can be resolved.Keywords: expert system,soybean disease ,android,knowledge representatio
MICROCONTROLLER APPLICATIONS BASED FUZZY LOGIC CONTROLLER FOR TEMPERATURE ON BREEDING FISH POND carp
No full textCarp is a freshwater fish that have economic opportunities to be cultivated. In the maintenance required carp control well to temperatures that are too low can affect the ability of the organism to bind oxygen so stunted. To overcome this, do a system that can keep the working temperature automatically. This tool works on the basis of the readings of the temperature sensor into the ATmega16 microcontroller through ADC port. ADC readings used fuzzy logic control input on the program. Results defuzzification program is used to set the amount received by the circuit pwm solid state relay. Pwm magnitude proportional to the voltage received by the heater, so that the heat of the heater can be set large. The water in the aquarium box (prototype pool) will be in circulation by the pump. This device has a high degree of accuracy in monitoring the temperature inside the pool, while the difference in temperature with the thermometer sensor has an average percentage error with high accuracy level. Keywords : Fuzzy logic, heater, pompa, AT Mega 16, Solid State Rela
MONITORING OF WATER TREATMENT PLANT EMPLOYING INTERNET OF THINGS
No full textIn water treatment process, highly temperature and humidity can lead to rapid evaporation, thus increasing uses of coagulants. It influence degree of acidity or pH. Therefore, it is necessary to monitor its conditions gradually. This work proposes a real-time monitoring of temperature, humidity and pH in the water treatment plant using internet of things. The system prototype was implemented using DHT22 and pH sensors to measure the physical conditions, Arduino UNO to process the data, ESP8266 to send the data into Internet Cloud Server over MQTT protocol. The prototype was measured in the plant comparing with the conventional instruments. The results show that error of temperature is 1.92%, humidity is 9.55%, and pH is 0.97% comparing with the conventional instruments. It is possible applying the prototype in the plant, but needs improving accuracy of humidity sensors.Keywords: Humidity, internet of things, pH, temperature, water treatment
Diminution of Active Power Loss by Communal Expressive Optimization Algorithm
Get PDFHuman society is a multifarious collection which is more effectual than other animal groups. Consequently, if one algorithm imitates the human society, then the efficiency may be healthier than other swarm intelligent algorithms which are stimulated by other animal groups. In this paper Communal Expressive (CE) Optimization Algorithm has been utilized to solve reactive power problem. The key feature of solving Optimal Reactive Power Problem is to reduce the real power loss and to maintain the voltage profile within the specified limits. The proposed Communal Expressive (CE) Optimization Algorithm has been authenticated, by applying it in standard IEEE 118 & practical 191 bus test systems. The results have been compared to other standard methods and the projected algorithm converges to finest solution
Student Academic Performance Prediction on Problem Based Learning Using Support Vector Machine and K-Nearest Neighbor
Get PDFAcademic evaluation is an important process to know how well the learning process was conducted and also one of the decisive factors that can determine the quality of the higher education institution. Though it usually curative, the preventive effort is needed by predicting the performance of the student before the semester begin. This effort aimed to reduce the failure rate of the students in certain subjects and make it easier for the PBL tutor to create appropiate learning strategies before the tutorial class begin. The purpose of this work is to find the best data mining technique to predict student academic performance on PBL system between two data mining classification algorithms. This work applied and compared the performance of the classifier models built from Support Vector Machine (SVM) and K-Nearest Neighbor (KNN). After preprocessed the dataset, the classifier models were developed and validated. The result shows that both algorithms were giving good accuracy by 97% and 95,52% respectively though SVM showing the best performance compared to KNN in F-Measure with 80%. The further deployment is needed to integrate the model with academic information system, so that academic evaluation can be easily done
Implementation Speech Recognition for Robot Control Using MFCC and ANFIS
Get PDFSpeech recognition is one of machine intelligence field that grow rapidly, it is recognized by almost all technology devices that equipped by voice command. The process of converting voice patterns into text through complex transcription process. There is an enormous complexity involved in analyzing speech input, such as variations in pronunciation, accent, speaker physiology, emphasis and acoustic environmental characteristics in generating hundreds of different phoneme classifications for each sound. A sound pattern recognition system is required to process sound signals quickly and realtime in recognizing voice input with accurate results. In this case MFCC is an appropriate method to apply sound extraction because it presents the signal well. While ANFIS is needed for sound characteristic learning because it has advantages possessed by fuzzy inference system and artificial neural network system. In this research tested through robot control. Keywords: ANFIS, MFCC, Speech Recognition, Robot Contro
Data Mining Sales Optimizations Using Sequential Minimal Optimization Algorithm
Get PDFTightness of business nowadays requires businessman to be able to develop their business to compete with the other companies, this study was conducted to obtain data accurate on the type of clothing combinations that are favored by the consumers to optimize sales at convection companies, using data mining methods and technique of classification this data is classify into four classes namely, well-liked, liked, enough and dislike. To solve classification problems, this study used Sequential Minimal Optimization (SMO), SMO Algorithm can solve quadratic programming problems without requiring a large matrix and to solving the optimization SMO selected from the smallest optimization in every steps. Optimum accuracy obtained in this study were obtained from Correctly Classified Instance of 80.9% from 3072 record set of well-liked classes that is the class with type of combinations clothes polo and embroidery, then the level of measurement of consistency coefficient values using kappa statistic obtained for 0.73% where the data in the class showed a consistent value, from these data type are most well-liked combinations can optimize sales by 70.3
Synthesis of Unequally Spaced Linear Micro Strip Rectangular Patch Antenna Array Using Improved Local Search Particle Swarm Optimization
Get PDFAntenna array systems with low side lobe levels are essential for today wireless communication systems. This paper presents the synthesis of unequally spaced linear rectangular micro strip antenna array with minimum side lobe levels using the novel evolutionary algorithm known as improved local search particle swarm optimization (ILSPSO). ILSPSO is a modified version of particle swarm optimization (PSO), in which Gaussian distribution is used to enhance the local search of the PSO. In this paper, ILPSO is applied to optimize the positions of the micro strip antenna elements to suppress the peak side lobe level (PSLL) along with PSO and differential evolution (DE) algorithms. The steps involved in problem formulation along with design examples illustrating the performance of the ILPSO in minimizing the side lobe levels are demonstrated. A 20 and 32 element linear micro strip rectangular patch antenna (MSRPA) element are considered to show the effectiveness of the proposed method. The optimized micro strip antenna array is simulated using high frequency structure simulator (HFSS). The synthesis results demonstrate that the ILSPSO outperforms PSO and DE in terms of producing lower PSLL and convergence rate. The flexibility and ease of implementation of the ILSPSO algorithm is obvious from this paper, showing the algorithms usefulness in other array synthesis problems