Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM)
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PERFORMANCE ANALYSIS ON GPSR PROTOCOL IN VANETS ENVIRONMENT OF OVERLAY NETWORK AND FORWARDING NODE SELECTION METHODS
Get PDFVANETs are technology in Intelligent Transport Systems (ITS) in driving safety and convenient network services for vehicle users. However, the high mobility of VANETs makes the topology change frequently, resulting in the unavailability of routes and causing communication failures between nodes. Greedy Perimeter Stateless Routing (GPSR) is a routing protocol that solves communication problems in the VANETs environment. GPSR is a geographic routing protocol that uses information on the location of neighbouring nodes and the transmission range to the nearest destination node. But, GPSR does not always find the optimal route because not all nearby nodes can forward packets to their destination during heavy traffic and many intersections.
In this research, the overlay network and forwarding node selection methods will be used to solve problems in the GPSR routing protocol related to communication instability because of changing node positions. Based on the results of testing and analysis that has been carried out on a grid scenario with 50 nodes, the Packet Delivery Ratio results are 32.60. In contrast, the results for the real scenario with the same nodes produce a value of 64. The analysis of End to End Delay in the 50-node grid scenario produces 5.64, while the real scenario results with 50 nodes yield the value of 24.11. The analysis Routing Overhead in the grid scenario with 50 nodes produces a value of 39,978, while the results of the real scenario with 50 nodes get a value of 10,239. With the result of these two analysis methods, it is expected to increase the average value of package delivery
PROTOTYPE OF A DESKTOP-BASED COMMUNICATION APPLICATION USING A DELAY TOLERANT NETWORK ARCHITECTURE
Get PDFCurrently, the process of exchanging information or data is carried out quickly, precisely, effectively and efficiently using the internet network. However, in reality, there are still some problems in areas that are difficult to get a signal, such as connection loss or unstable connection. One of the proposed solutions to anticipate this problem is the implementation of a network using the Delay Tolerant Network architecture. This architecture was chosen because of its basic capability, namely being able to send files even in a high delay state or used in areas with intermittent properties. The implementation carried out is making a chat application prototype that is able to function in intermittent areas and can be used for communication between sender and receiver in difficult signal conditions. The hardware used is a raspberry pi and supporting software using ION-DTN and traffic management designed using the python programming language. The application is tested by applying the concept of functionality testing, namely with full signal condition scenarios and limited signal conditions as a representation of the intermittent area. The test results show that the application is able to function based on the initial design with a delay with test variations of 1-10 minutes of signal dropout time. Further development can be done by adding a chat feature so that it is able to send more varied data.  
DIABETES MELLITUS ATTRIBUTE CLASSIFICATION USING THE NAIVE BAYES ALGORITHM BASED ON FORWARD SELECTION
Get PDFDiabetes Mellitus is a chronic condition that frequently results in death. Almost every nation has experienced and contributed to this rise in mortality. Consequently, several researchers are motivated to determine this disease's source and prevent the increase in mortality rates. The research was conducted in the field of informatics in partnership with health professionals to determine the causes of this condition. Many informatics researchers employ machine learning techniques to aid in analyzing existing data. This study suggests feature selection based on forward selection and the naive Bayes classification approach to determine this disease's primary aetiology. The results demonstrate that our proposed strategy can increase the classification accuracy of patients. The performance outcomes improved by 169%. According to this theory, it is also known that the primary cause of this disease is its dependence on body mass index and age. Therefore, additional research must explore these two variables' impact on various other disorders
APPLICATION OF WIRELESS SENSOR NETWORK FOR MANUFACTURING AUTOMATIC DUCK EGG HATCHER MACHINE
Get PDFThe main problem with duck workers who want to incubate eggs is that eggs turn two times a day. It causes farmers still use conventional hatching to incubate eggs, usually done manually. This study aims to make an automatic duck-egg incubator using a wireless sensor network. The making of incubator uses a 5-watt incandescent lamp, 5V relay, DHT11, soundsensor, LCD I2C, Wifi ESP8266 01, and a pipe designed to perform egg turning assisted by a servo motor as a driver for the pipe. The average temperature for this automatic incubator sets at 39 – 40 degrees Celcius. The results of this research hatching machine can work as planned. In the first experiment, we should insert four eggs and managed to incubate them, and two eggs managed to come out of the eggshell. In the second experiment, we should insert four eggs and managed to incubate three eggs to come out of the eggshell. So the percentage of success in hatching eggs using an automatic duck egg incubator using this wireless sensor network is in the first experiment as many as 50% or two eggs and in the second experiment as much as 75% or three eggs
IMPLEMENTATION OF THE ADDIE MODEL (ANALYSIS, DESIGN, DEVELOPMENT, IMPLEMENTATION, EVALUATION) IN PHP-BASED E-LEARNING IN THE ERA OF PANDEMIC
Get PDFDuring the pandemic period at the beginning of 2020, the effects are still felt until now. All schools in Indonesia may even be closed for almost 2 (two) semesters. At times like this, every teacher inevitably is required to use E-learning without face-to-face with students. The use of various media such as Whatsapp, Zoom, Google meet and Clasromm ect is very helpful for teachers and students. In this phenomenon, we conducted research using the ADDIE Model (Analysis, Design, Development, Implementation, Evaluation) on PHP-based e-learning that we designed and created, to support the government movement that still implements distance learning more easily. With the E-Learning Application that has been created, it is very helpful for teachers, students and administrative staff in data management, especially for online learning (on the network) during this pandemic period. This PHP-based E-Learning application can be a choice of E-Learning media for schools that are still unable to do face-to-face learning directly
MONITORING WATER QUALITY IN VEGETABLE HYDROPONICS USING ARDUINO MICROCONTROLLER
Get PDFpH stands for the power of Hydrogen, which is an important factor in hydroponic systems. The hydrogen ion concentration determines the value of the acidity in the solution. If the pH value of the solution is below 7.0, then it is called acidic, and if the pH value is above 7.0, it is called alkaline. The pH value can change, so it is necessary to pay attention to the acidity of the water so that the roots absorb nutrients properly that farmers often find it difficult to take measurements. Mustard plants have a pH range of 5.5 – 6.5. Based on the pH range, it is necessary to have a tool to monitor the quality of the pH in mustard plants. This monitoring is carried out by creating a hydroponic nutrient water disposal system by combining agriculture and mechatronics. Mechatronics will control the nutrient distribution system so that it can be monitored with a smartphone via wireless connectivity such as the GSM module (800L. The water quality monitoring system works by using ultrasonic sensors, sensor probes and TDS sensors, as well as the GSM 800L module. monitoring of water quality in hydroponic mustard plants) using an Arduino microcontroller and detecting pH conditions and solute content. As for the disposal of nutrient water, using a water pump connected to the microcontroller via a relay. Based on the prototype carried out on June 26, 2021, the condition of water quality has decreased in nutritional quality with the first data (pH 6.31 solute 529 ppm) and the latest data (pH 9.09 and solute 662 ppm). When the water quality is below the nutritional standard, the water pump turns on to remove the nutrient water. The results of the prototype that has been carried out have succeeded in monitoring water quality hydroponics and can be used by farmers
PROTOTYPE APPLICATION OF CROWD DETECTION SYSTEM FOR TRADITIONAL MARKET VISITOR BASED ON IOT USING RFID MFRC522
Get PDFCrowds of people are the government's concern in dealing with the COVID-19 pandemic because the virus transfers unwittingly from one person to another and transmits it to the closest environment. One of the locations where crowds are difficult to avoid is a traditional market and is thought to be one of the places that have the potential to become the center of the spread of COVID-19. Various efforts made by the government in suppressing crowds have yielded results, but not a few violations that occur are carried out intentionally or unintentionally, one of the efforts to prevent crowd violations is the traditional market visitor detection monitoring system by market management so that market visitors do not violate health protocols and crowds that occur in an area can be avoided. In this study, an IoT-based crowd detection system application prototype uses an RFID sensor MFRC522 as a crowd indicator based on data on the number of visitors entering a kiosk that is recorded in the database and then displayed on the application, this data becomes an indicator of which kiosk other visitors want to go to so that the crowd can be avoided. System functionality testing was carried out with 4 scenarios and system reliability testing through data transmission was carried out 10 times with test data in the form of kiosk id and visitor id sent via a single Transmission Control Protocol (TCP) with a full-duplex communication channel. The test results show that crowd indications can be detected in the application with data transmission speeds reaching 875 KB/s with an average delay of 231.4 ms and a standard deviation of 215 ± 313 ms
ANALYSIS TESTING WEBSITE NEW INSTALLATION PLN ELECTRICITY USING BOUNDARY VALUE ANALYSIS AND FUNCTIONAL TESTING
Get PDFThe website contains a lot of information and data that must protect. Input and output aspects of communication have a significant role in a service website to provide accurate information and avoid misinformation due to an imperfect system. Various system tests have been tried to identify the advantages and disadvantages of a web-based data system. This study uses a black box checking out procedure. In black field checking out, there are several testing techniques. This check uses boundary value analysis and functional testing. The boundary value analysis method plays tests based on the most suitable and minimum variety of digits to create fair and invalid values. The early tiers of this test are figuring out the functionality of the shape to be processed and ensuring the most excellent and minimum range of entering characters. The consequences of this research are in the form of records containing the harm to the device so that machine managers can improve the machine's quality in serving users or customers
KNN FOR CLASSIFICATION OF FRUIT TYPES BASED ON FRUIT FEATURES
Get PDFResearch related to the recognition of fruit types has been done previously. Research related to the recognition of many types of fruit applies computer vision and artificial intelligence. The purpose of this research is to apply artificial intelligence science with the KNN method to identify the type of fruit. The KNN method has a good performance in previous studies. We tried to use KNN by determining the most optimal K value. There are five types of fruit images used in this study, namely Apples, Grapes, Oranges, Mangoes, and Strawberries. The fruit image is extracted with colour, texture, and shape features with a total of 15 features, namely the average value of R, the average value of G, the average value of B, the value of skewness R, the value of skewness G, the value of skewness B, the value of grayscale entropy. , grayscale contrast value, grayscale energy value, grayscale correlation value, grayscale homogeneity value, binary area value, binary circumference value, binary major axis value, and binary minor axis value. The dataset used in this study was taken from Kaggle, with a dataset of 2750 images, each type of fruit contained 550 images, 2500 training images were used and 250 images were used for testing. The experimental results show that the KNN method with K=1 has the highest accuracy, which is 99.6%. The KNN method can be used optimally in classifying fruit types based on colour, texture, and shape features
USER INTERFACE AND USER EXPERIENCE DESIGNING IN THE KAPUSTAKAN SYSTEM USING USER CENTRED DESIGN APPROACH (CASE STUDY: KERATON NGAYOGYAKARTA HADININGRAT)
Get PDFThe Kapustakan System is a digital collection management system for the Keraton Ngayogyakarta Hadiningrat. The Kapustakan System is being developed to present various museum collections in digital representation, facilitating access to knowledge search, cross-referencing, and encouraging research. This system needs an interface design that takes into account both the User Interface (UI) and the User Experience (UX) to make users feel comfortable when they use it. This paper describes the UI/UX design process for the Kapustakan System using the user-centred Design (UCD) method, which consists of five stages: planning the human-centred design, specifying the context of use, specifying user and organizational requirements, producing design solutions, and evaluating designs against user requirements. The UCD method focuses on the direct involvement of prospective users so that they can influence the design results that meet their needs and desires. The result of this research is a prototype design of the Kapustakan System that has been validated through usability testing of potential users. The parameters tested in usability testing are success rate, efficiency, error rate, and satisfaction. The test's success rate is 93.75%, its efficiency is 90.27%, its error rate is 3.73%, and its satisfaction is 86.25