JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat)
Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) is intended as a media for scientific studies on the results of research, thinking and analytical-critical studies regarding research in Systems Engineering, Informatics / Information Technology, Information Management and Information Systems. As part of the spirit of disseminating knowledge from the results of research and thought for service to the wider community and as a reference source for academics in the field of Technology and Information.
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<![CDATA[PERFORMANCE ANALYSIS ON GPSR PROTOCOL IN VANETS ENVIRONMENT OF OVERLAY NETWORK AND FORWARDING NODE SELECTION METHODS ]]>
<![CDATA[Ahmad Faqih Habibi]]>;
<![CDATA[Radityo Anggoro]]>
<![CDATA[ Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 7 No. 2 (2022) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Lambung Mangkurat ]]>
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DOI: 10.20527/jtiulm.v7i2.131
<![CDATA[VANETs 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.]]>
<![CDATA[PROTOTYPE OF A DESKTOP-BASED COMMUNICATION APPLICATION USING A DELAY TOLERANT NETWORK ARCHITECTURE ]]>
<![CDATA[Slameta]]>;
<![CDATA[Ashari]]>;
<![CDATA[Muh Haikal Pandia Situmorang]]>;
<![CDATA[Kamal Falah Firdaus]]>;
<![CDATA[Griffani Megiyanto R]]>
<![CDATA[ Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 7 No. 2 (2022) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Lambung Mangkurat ]]>
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DOI: 10.20527/jtiulm.v7i2.133
<![CDATA[Currently, 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.]]>
<![CDATA[MASK DETECTION ANALYSIS USING HAAR CASCADE AND NAÏVE BAYES ]]>
<![CDATA[Imam Riadi]]>;
<![CDATA[Abdul Fadlil]]>;
<![CDATA[Izzan Julda D.E Purwadi Putra]]>
<![CDATA[ Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 7 No. 2 (2022) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Lambung Mangkurat ]]>
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DOI: 10.20527/jtiulm.v7i2.135
<![CDATA[Coronavirus Disease (COVID-19) is a new virus variant that emerged in 2019. The World Health Organization (WHO) states that 394,381,395 people have been infected with COVID-19, and 5,735,178 have died. This epidemic has been found in Indonesia since March 2020. New cases in Indonesia are still increasing every day as a whole. The Government as a policy has imposed a policy on anyone who will be required to wear a mask and also carry out physical distancing so that they can work without the maker being exposed to the virus. In the midst of a pandemic, the use of masks has increased to prevent transmission. Various types of masks are easy to find, but not all masks are recommended to avoid transmission. Among them are the N-95 masks, which are recommended to prevent transmission. This application uses the haar cascade and naive bayes methods. The pycharm edition 2021.2 tools and python 3.8 are the detection systems used in this mask. The haar cascade method is also used in detecting objects with masks or not and naive Bayes, which is used as an accuracy calculation. This study uses a dataset of 1092, which is divided into 192 positive images and 900 negative images. Accuracy results using the haar cascade method are 100% more accurate, while the nave Bayes method is 76.6% less accurate.]]>
<![CDATA[PADDY WETLAND PRODUCTIVITY ANALYSIS WITH LINEAR REGRESSION OF MACHINE LEARNING APPROACH ]]>
<![CDATA[Bayu Nugraha]]>;
<![CDATA[Agustina Hotma Uli Tumanggor]]>;
<![CDATA[Mambang]]>;
<![CDATA[Finki Dona Marleny]]>
<![CDATA[ Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 7 No. 2 (2022) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Lambung Mangkurat ]]>
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DOI: 10.20527/jtiulm.v7i2.138
<![CDATA[Paddy is one of the priority crops in agricultural production. South Kalimantan is an area that produces Paddy. In paddy productivity in the southern Kalimantan region, there are paddy wetlands and paddy dryland. The need for paddy production in the southern Kalimantan region can increase or decrease every year. The method used in this study is a linear regression algorithm with a machine learning approach. Linear regression analysis basically predicts a variable's value based on its free variables. Linear regression only predicts variables whose data nature is intervals or ratios. Linear regression analysis can be used to examine the relationship between two or more variables. Linear regression can also make additional assumptions between variables through the most suitable lines of straight-line data points. This study is to determine the relationship between harvest area and productivity. As a result of trials using the machine learning approach, linear regression algorithms show a relationship between harvest and production area. The correlation test results can find relationships between data points so that linear regression can be used to predict. From the relationship between harvest area and productivity, a prediction accuracy of 95% was obtained.]]>
<![CDATA[ANALYSIS TESTING WEBSITE NEW INSTALLATION PLN ELECTRICITY USING BOUNDARY VALUE ANALYSIS AND FUNCTIONAL TESTING ]]>
<![CDATA[Rasmila]]>;
<![CDATA[Dwi Angga Apriansyah]]>
<![CDATA[ Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 7 No. 2 (2022) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Lambung Mangkurat ]]>
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DOI: 10.20527/jtiulm.v7i2.139
<![CDATA[The 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.]]>
<![CDATA[IMPLEMENTATION OF THE SMART METHODS (SIMPLE MULTI-ATTRIBUTE RATING TECHNIQUE) FOR LOCATION SELECTION OF INDUSTRIAL WORK PRACTICE AND MONITORING IN VOCATIONAL SCHOOL STUDENTS ]]>
<![CDATA[Aulia Rizky Muhammad Hendrik Noor Asegaff]]>;
<![CDATA[M Dedy Rosyadi]]>;
<![CDATA[Budi Ramadhani]]>
<![CDATA[ Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 7 No. 2 (2022) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Lambung Mangkurat ]]>
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DOI: 10.20527/jtiulm.v7i2.140
<![CDATA[Industrial Work Practices are educational, training, and learning activities for SMK (Vocational High School) students in the business world or the industrial world related to student competencies according to the fields they are involved. However, several problems arise in practice, such as difficulty updating data and distribution of random locations. It is deemed unfair for students because some get locations far from where they live. There is no forum for monitoring the development of internships by supervisors for students, both in reports from daily and final reports. So we need an information system that can provide solutions to these problems. Making internship activities more effective and efficient for Schools, Guiding Teachers, Students and Prakerin Partners. The SMART (Simple Multi-Attribute Rating Technique) method supports decision-makers in choosing between several alternatives.]]>
<![CDATA[APPLICATION OF WIRELESS SENSOR NETWORK FOR MANUFACTURING AUTOMATIC DUCK EGG HATCHER MACHINE ]]>
<![CDATA[Ihdalhubbi Maulida ihdal]]>;
<![CDATA[Windarsyah]]>;
<![CDATA[Ayu Ahadi Ningrum]]>
<![CDATA[ Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 7 No. 2 (2022) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Lambung Mangkurat ]]>
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DOI: 10.20527/jtiulm.v7i2.141
<![CDATA[The 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.]]>
<![CDATA[ANALYSIS OF USER SATISFACTION LIBRARY ONLINE CATALOG AT UPN VETERAN EAST JAVA USING EUCS METHOD ]]>
<![CDATA[Khansa Renata]]>;
<![CDATA[Arista Pratama]]>;
<![CDATA[Anita Wulansari]]>
<![CDATA[ Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 7 No. 2 (2022) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Lambung Mangkurat ]]>
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DOI: 10.20527/jtiulm.v7i2.142
<![CDATA[The development of information technology in this digital era has prompted numerous changes in many aspects of life, notably in the field of libraries, that are necessary to satisfy the demands of librarians to locate information easily, quickly, and precisely. OPAC (Online Public Access Catalog), often known as Online Catalog, is a website-based catalogue system used to search for information on library materials so they may be accessible whenever and wherever. One of the academic libraries that have used the Online Catalog is Universitas Pembangunan Nasional "Veteran" East Java. The purpose of this study is to determine what factors influence online catalogue user satisfaction using the End-User Computing Satisfaction (EUCS) model approach with two additional independent variables, System Speed and System Reliability. End-User Computing Satisfaction is one of the methods used to evaluate the overall system for user satisfaction. Proportional stratified random sampling was employed as the sample collecting method in this study, with a total of 303 respondents. The research data obtained from the questionnaire results were processed using SmartPLS 3.2.9 software. Based on the results obtained, accuracy, format, and ease of use are the three factors that have a positive and significant effect. In addition, the most influencing factor for Online Catalog user satisfaction is the format.]]>
<![CDATA[MIXTURE FEATURE EXTRACTION BASED ON LOCAL BINARY PATTERN AND GREY-LEVEL CO-OCCURRENCE MATRIX TECHNIQUES FOR MOUTH EXPRESSION RECOGNITION ]]>
<![CDATA[Ricardus Anggi Pramunendar]]>;
<![CDATA[Dwi Puji Prabowo]]>;
<![CDATA[Yuslena Sari]]>
<![CDATA[ Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 7 No. 2 (2022) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Lambung Mangkurat ]]>
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DOI: 10.20527/jtiulm.v7i2.145
<![CDATA[Some academics struggle to recognize facial emotions based on pattern recognition. In general, this recognition utilizes all facial features. However, this study was limited to identifying facial emotions in a single facial region. In this study, lips, one of the facial features that can reveal a person's expression, are utilized. Using a combination of local binary pattern feature extraction (LBP) and grey level co-occurrence matrix (GLCM) methods and a multiclass support vector machine classification approach for feature extraction in facial images. The concept begins with image segmentation to create an image of a mouth. Experiments were also conducted for various tests, and the outcomes of these experiments revealed a recognition performance of up to 95%. This result was obtained through experiments in which 10% to 40% of the data were evaluated. These findings are beneficial and can be applied to expression recognition in online learning media to monitor the audience's condition directly.]]>
<![CDATA[DIABETES MELLITUS ATTRIBUTE CLASSIFICATION USING THE NAIVE BAYES ALGORITHM BASED ON FORWARD SELECTION ]]>
<![CDATA[Dwi Puji Prabowo]]>;
<![CDATA[Rama Aria Megantara]]>;
<![CDATA[Ricardus Anggi Pramunendar]]>;
<![CDATA[Yuslena Sari]]>
<![CDATA[ Jurnal Teknologi Informasi Universitas Lambung Mangkurat (JTIULM) Vol. 7 No. 2 (2022) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Lambung Mangkurat ]]>
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DOI: 10.20527/jtiulm.v7i2.146
<![CDATA[Diabetes 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.]]>
