Sinkron : jurnal dan penelitian teknik informatika <p><strong>Sinkron</strong> <strong>: Jurnal dan Penelitian Teknik Informatika</strong> is<strong> The<a href=""> RISTEKBRIN Accredited National Scientific Journal Rank 3 (Sinta 3), Number: 148 / M / KPT / 2020 on August 3, 2020</a></strong>. SinkrOn is published biennial, namely in April and October. SinkrOn aims to promote research in the field of Informatics Engineering which focuses on publishing quality papers about the latest information about computer science. Submitted papers will be reviewed by the Journal and Association technical committee. All articles submitted must be original reports, previously published research results, experimental or theoretical, and will be reviewed by colleagues. Articles sent to the Sinkron journal may not be published elsewhere. The manuscript must follow the writing style provided by SinkrOn and must be reviewed and edited.</p> <p>Sinkron is published by <strong><span style="text-decoration: underline;"><a href="">Politeknik Ganesha Medan</a></span></strong>, a Higher Education in Medan, North Sumatra, Indonesia. </p> <p><strong>E- ISSN: <a href=";1472194336&amp;1&amp;&amp;">2541-2019</a> </strong>(Indonesian | LIPI)<strong> | </strong><strong>P-ISSN: <a href=";1474367655&amp;1&amp;&amp;">2541-044X</a> </strong>(Indonesian | LIPI)<strong> | </strong><strong>DOI Prefix: 10.33395</strong></p> <p><strong>E- ISSN: <a href="">2541-2019</a> </strong>(International)<strong> | </strong><strong>P-ISSN: <a title="International ISSN" href="">2541-044X</a> </strong>(International)</p> Politeknik Ganesha Medan en-US Sinkron : jurnal dan penelitian teknik informatika 2541-044X Implementation of address recording management using the K-Means clustering classification algorithm in Kebayoran District, DKI Jakarta <p>The area is the center of problems in the administrative record management of Kebayoran District, because of its dense condition and it is difficult to determine land measurements due to the density of residential areas. The problem in Indonesia to this day is that the administrative boundaries of the kelurahan already exist, but the administrative boundaries for the Rukun Warga / Rukun Tetangga (RW / RT) do not yet exist. The local government of DKI already has a large scale map (1: 1,000) to map RW administrative boundaries. Large-scale mapping (Batas RW) is useful for accurate information on incidence of dengue fever or other diseases, thereby eliminating information bias due to the use of village boundary maps. Another benefit is the accuracy of address management for customers, for example PDAM customers, to facilitate verification of customer data with large-scale maps, especially those that only include RT / RW addresses, without mentioning street names and household numbers. The method used is data mining K-Means Clustering. By using this method, the data that has been obtained can be grouped into several clusters, where the application of the KMeans Clustering process uses Excel calculations. The processed data is divided into 3 clusters, namely: high cluster (C1), medium cluster (C2) and low cluster (C3). The iteration process of this research occurs 2 times so that an assessment is obtained in classifying the household / neighborhood unit based on the Kelurahan. The results obtained are that there is 1 neighborhood unit with the highest cluster (C1), there are 4 neighborhood units with 4 medium clusters (C2), and 5 neighborhood units with the lowest cluster (C3). This data can be input to the sub-district to disseminate information about dengue fever, health education, and for the accuracy of PDAM customer address management and others.</p> Rusdiansyah Rusdiansyah Harun Al Rasyid Suryanto Sosrowidigdo Copyright (c) 2021 Rusdiansyah Rusdiansyah, Harun Al Rasyid, Suryanto Sosrowidigdo 2021-04-01 2021-04-01 5 2 184 191 10.33395/sinkron.v5i2.10855 The MOORA method for selecting software App: price-quality ratio approach <p>Seeing the rapid progress of software app. in today's destructive era, the need for software app. is very reliable for industrial progress in the era of the 4.0 generation. Especially in object-oriented software app. The main objective of this research is to measure the technical capabilities of object-based software app. and to find out the process of selecting the best number of in terms of the appropriate price. Many techniques can be developed in object-based software app. such as class implementation, Inheritance, Encapsulation, Polymorphic, Constructor, Accessor, Mutator, Visibility, Overwrite and Overload. This technique is an advantage of object-based software app. Taking advantage of these advantages causes difficulty in selecting and evaluating software. Indeed, it is very difficult to evaluate software products, because they are qualitative. In order for the assessment to be objective, it requires good method collaboration, thus an objective method is needed in the assessment of the selection of a number of program app. The test was carried out with the Multi Objective Optimization by Ratio Analysis (MOORA) method collaborated with the Price-Quality Ration approach. The results obtained are the selection of object-based software app. that can be done optimally and provide efficiency in the benefits and costs incurred.</p> Akmaludin Akmaludin Erene Gernaria Sihombing Linda Sari Dewi Rinawati Rinawati Ester Arisawati Copyright (c) 2021 Akmaludin Akmaludin, Erene Gernaria Sihombing , Linda Sari Dewi, Rinawati Rinawati , Ester Arisawati 2021-04-01 2021-04-01 5 2 192 198 10.33395/sinkron.v5i2.10789 Implementation of Convolutional Neural Network in the classification of red blood cells have affected of malaria <p>Malaria is a disease caused by plasmodium which attacks red blood cells. Diagnosis of malaria can be made by examining the patient's red blood cells using a microscope. Convolutional Neural Network (CNN) is a deep learning method that is growing rapidly. CNN is often used in image classification. The CNN process usually requires considerable resources. This is one of the weaknesses of CNN. In this study, the CNN architecture used in the classification of red blood cell images is LeNet-5 and DRNet. The data used is a segmented image of red blood cells and is secondary data. Before conducting the data training, data pre-processing and data augmentation from the dataset was carried out. The number of layers of the LeNet-5 and DRNet models were 4 and 7. The test accuracy of the LeNet-5 and DrNet models was 95% and 97.3%, respectively. From the test results, it was found that the LeNet-5 model was more suitable in terms of red blood cell classification. By using the LeNet-5 architecture, the resources used to perform classification can be reduced compared to previous studies where the accuracy obtained is also the same because the number of layers is less, which is only 4 layers</p> Mawaddah Harahap Jefferson Jefferson Surya Barti Suprianto Samosir Christi Andika Turnip Copyright (c) 2021 Mawaddah Harahap, Jefferson Jefferson, Surya Barti, Suprianto Samosir, Christi Andika Turnip 2021-04-01 2021-04-01 5 2 199 207 10.33395/sinkron.v5i2.10713 Prediction analysis of student interest in design learning using Naïve Bayes method <p>Students' interest in a field is usually seen from the grades resulting from students' learning in the classroom. This is a common thing for parents and teachers to do. In the research conducted by researchers this time is in the field of design studied by students in the classroom in one semester, namely the subjects Photoshop and CorelDraw. The grades taken are grades that include the value of theory, practical grades, assignments, and quiz assignments obtained by students in the classroom. The four grades will be calculated until they get a provision on whether or not the student graduates in the subject. These values will be studied by researchers using the Naïve Bayes method, so that it can be known how much can be said to pass in this design lesson. Researchers conducted research using Rapid Miner program, where the data will be divided into 2 parts, namely by using some existing data as learning samples and the rest as test data. The results obtained from the experiment were 146 students graduated in the field of design, and 119 students failed. This suggests the experiment using the Naïve Bayes method was successful if the experiment data was entered a lot</p> Jefri Junifer Pangaribuan Ferawaty Ferawaty Copyright (c) 2021 Jefri Junifer Pangaribuan, Ferawaty Ferawaty 2021-04-01 2021-04-01 5 2 208 212 10.33395/sinkron.v5i2.10726 Application of medical equipment procurement data mining using the Apriori method <p>The procurement of an item in an agency is an activity that is commonly carried out, including in a hospital, particularly the procurement of medical equipment. The procurement of medical equipment at Pengayoman Cipinang Hospital, Jakarta currently still uses the conventional method where the process is still using the manual method, namely by relying on disposable physical items as the main resource and seems to use many procedures that require a long working time. The influx of medical equipment in very large numbers can cause many risks, such as the amount of money it costs to store medical devices and also being vulnerable to the risk of theft. The conditions mentioned above can affect the quality of health services provided by the hospital to patients who should be well preserved. One of the data processing algorithms that is often used in the data mining process is the A algorithm. The benefit is to find trends between one item and another, where more and more medical equipment appears to be used as a reference in the hospital policy process in ensuring the availability of this medical equipment when needed so that the procurement process can always be fulfilled. Based on the results of the research conducted, it was found that the medical equipment that had the most demand was Surgical Ear Loop Masks 3 (58.33%), Non-Sterile Gloves Size M (58.33%), and Surgical Tie-On 3 PLY Masks (100%)</p> Phindika Phindika Yopi Handrianto Sulaeman Hadi Sukmana Copyright (c) 2021 Phindika Phindika, Yopi Handrianto, Sulaeman Hadi Sukmana 2021-04-01 2021-04-01 5 2 213 220 10.33395/sinkron.v5i2.10876 Decision Support System for increasing position of Office at PT. Gramedia Asri Media using Profile Matching Method <p>The more rapid growth of information technology in the world, so that more and more people are taking advantage of this advancement in information technology in various activities of life or to solve various problems. One of them is filling positions that have not been filled for promotion processes often experience problems because the submission of prospective candidates who can occupy the position by matching employee profiles and job profiles is not resolved properly. To minimize these constraints, a decision support system is needed that can analyze employee performance in accordance with existing job profiles. The Profile Matching process is carried out to determine career planning recommendations by calculating sub-criteria from each aspect (work attitude and intellectual capacity) which consists of 4 stages including the calculation of the GAP value, the calculation of the core and secondary factor values ​​and the calculation of the total value and ranking. The results of this study will produce a form in the form of employee recommendations with the highest score of 5.4163 on behalf of Ariz and Widi which has the same numerical value as the number from the calculation method used.</p> Kartika Mariskhana Ita Dewi Sintawati Widiarina Widiarina Rusdiansyah Rusdiansyah Copyright (c) 2021 Kartika Mariskhana, Ita Dewi Sintawati, Widiarina Widiarina, Rusdiansyah Rusdiansyah 2021-04-01 2021-04-01 5 2 221 228 10.33395/sinkron.v5i2.10867 Developing a legal assistant website “Notoaturan” using Waterfall method <p>The development of increasingly advanced technology brings great benefits to people's lives. This is evidenced by the many uses of technology in various fields of life. The development of information technology also affects people's behavior which shows a new phenomenon where several activities can be carried out online to make it more effective and efficient. This also happens in the field of law, with the term e-legal services. The process of digitizing legal services can be realized if there is good support from the government, legal service providers, and the community. The government itself has provided laws and regulations that discuss legal digitization. Data and information are collected in two ways, interviews and literature study. By using the waterfall software development method, the Notoaturan website is built using the PHP programming language, with the Codeigniter 3 framework with MySQL database. The results obtained are in the form of a notoaturan website that provides services related to notaries and lawyers. Notary provides a process for ordering notary services such as creating a business entity, creating a CV, making a PT, and others, as well as providing services for placing an order for a lawyer starting with prior consultation. The website is also equipped with several additional services such as complaints and assistance for using the website.</p> Melinda Utami Bita Parga Zen Yayi Sufia Rauna Copyright (c) 2021 Melinda Utami, Yayi Sufia Rauna, Bita Parga Zen 2021-04-01 2021-04-01 5 2 229 238 10.33395/sinkron.v5i2.10902 Application of the Servqual method to analyze the satisfaction level of hotel services and facilities <p>With so many hotels and other accommodation facilities in the city of Medan. More and more people are coming and staying and using the facilities at each hotel. Whether it's rooms, meeting room facilities, facilities to hold events, and much more are available in every hotel. Every hotel wants to give satisfaction to guests who come to use the hotel facilities and services. Likewise with SwissbeliNN hotels which have a 3 (three) star classification. Therefore, the opinions of guests and complaints given are very useful to improve the quality of hotel services. To find out, we will look at the satisfaction level of each guest. In this case, the writer applies the servqual method to see the level of guest satisfaction that has been obtained. To find out what is still lacking in the services provided. The purpose of this research is to find out the shortcomings of the hotel for the services provided to hotel visitors, as well as to fulfill the complaints of each visitor to the hotel from the results of the research carried out, with the objectives described later to be able to provide solutions to hotel leaders to fulfill the research results. obtained. The research methods carried out include collecting data directly from the hotel related to the problems that arise to be researched, literature studies, analyzing the problems to be studied based on the data collection that has been obtained, designing applications to overcome problems that arise and making it easier to find out the level of satisfaction of visitors. against managed hotels, as well as testing applications that are made to test the level of success obtained from the application being built. Based on the research conducted, the average perceived service quality score was 3.54. This score is in the somewhat unsatisfactory category when compared with the average score of service quality score which is perceived to be lower than expected. This indicates a gap. The highest average score is given to responsiveness with a value of 3.62 while the lowest score is given to the dimension of empathy with a value of 3.44.</p> Nur Ainun Volvo Sihombing Masrizal Masrizal Copyright (c) 2021 Nur Ainun, Volvo Sihombing, Masrizal 2021-04-02 2021-04-02 5 2 239 250 10.33395/sinkron.v5i2.10862 Analysis of the selection of propagation models from outside into the building at 1800 MHz and 2100 MHz <p>Wireless internet service in educational buildings plays a crucial role in telecommunications for the knowledge sharing process. Therefore, various factors that may limit internet services coverage in the building should be eliminated or reduced. One such factor is path losses. Path losses are caused by multiple obstacles between the transmitting and receiving antennas. The problem of path losses in the education building can be solved by providing signal booster devices or Wireless Fidelity (Wi-Fi). But not all college buildings have such tools. Besides, WiFi devices also have limitations on bandwidth and the number of users. Thus, mobile communication devices or smartphones located inside the education buildings still need internet service coverage from the transmitter antenna outside the building. An accurate propagation model is required so that the transmitter antenna outside the building can provide internet service coverage to the inside of the building. This paper had been analyzed the selection of propagation models using three validation formulas, namely Mean Error (ME), Root Mean Square Error (RMSE), and Standard Deviation Error (SDE). This paper used several propagation models, namely the 3GPP Model, Winner+ Model, and COST231 Model. Based on the analysis of calculation and measurement data, it is known that the COST231 model is the most accurate because it has the lowest ME, RMSE, and SDE values.</p> Panangian Mahadi Sihombing Maksum Pinem Sri Indah Rezkika Copyright (c) 2021 Panangian Mahadi Sihombing, Maksum Pinem, Sri Indah Rezkika 2021-04-03 2021-04-03 5 2 239 250 10.33395/sinkron.v5i2.10871 Pe Application of the K-Means Algorithm in Grouping Households by Province and Ownership Status of Owned Houses <p>The house is a place or container to protect people from hot or cold air. A household is a group of people who gather in a place and share food, shelter, and others. People who live in a house, some live in a boarding house and some already have their own homeownership status. Research conducted by this author discusses the Application of Household Clustering by Province and Ownership Status of Owned Houses using K-Means Algorithm. The research data is sourced from the National Statistics Agency. The data used in doing this is the data on the percentage of households by province and the status of self-owned house ownership in 1999-2019. The data consists of 34 provinces. The variables of this study are based on the average number of percentages of households by province and ownership status of self-owned houses. The data clustering will be carried out by dividing it into 3 clusters, namely the high level of self-owned house ownership status, the moderate level of self-owned house ownership status, and the low level of self-owned house ownership status. The results of this study are based on the Household index by Province and Ownership Status of Owned Houses, as many as 12 provinces with high self-owned house ownership, namely 86,14, 21 provinces with medium self-owned house ownership, namely 75,11, and 1 province with low self-owned house ownership, namely 51,61. The existence of this research can make people more open-minded about having their own house with ownership status.</p> Kristin Sianipar Septri Siahaan Indra Gunawan Copyright (c) 2021 Kristin Sianipar, Septri Siahaan, Indra Gunawan 2021-04-08 2021-04-08 5 2 251 259 10.33395/sinkron.v5i2.10883 Implementation of the Bayes theorem method for identifying diseases of children under five <p>Disease is very susceptible to occur in children under five because the immune system in children under five has not been fully developed. Lack of knowledge about the diseases of children under five and the symptoms they experience makes parents fearful. The lack of knowledge of children's diseases from experts can result in delayed treatment. Problems that occur can be overcome by utilizing artificial intelligence technology. One of the artificial intelligence technologies is an expert system. Information needs very quickly from an expert to deal with problems or diseases of children under five that are expected by parents or society. So that is what drives the development of a software application, namely an expert system for the identification of diseases of children under five. An expert system for the identification of toddlers' diseases is made as a tool to diagnose diseases experienced by toddlers by using the symptoms experienced by toddlers as a tool to detect diseases experienced by children under five. The system can identify 5 types of disease with 23 symptoms of disease. This expert system uses the development method of problem identification, system design, implementation and testing. Inference in this expert system uses the Bayes theorem method. This system is built with Visual Basic and Microsoft Access as the database. The results of consulting tests with this system show that the system is able to determine the disease along with the initial treatment and treatment solutions that must be carried out, based on the symptoms previously selected by the user.</p> Macro Ramadhani Volvo Sihombing Masrizal Masrizal Copyright (c) 2021 Macro Ramadhani, Volvo Sihombing, Masrizal 2021-04-05 2021-04-05 5 2 260 265 10.33395/sinkron.v5i2.10907 Application of the rough set method to the level of customer satisfaction on service quality <p>It is difficult to predict to do a random sampling technique with the consideration that the existing population is very large, so it is not possible to study the existing population. Thus, in the form of a population representative, this research is part of the total customers who stay at Graha Buana Hotel Medan. The decisions taken must consider well based on the data that is held, especially those that are closely related to the hotel service system. The stages of research carried out in research are to conduct interviews by direct questioning to the section related to research, direct observation of events that occur at the research site, analyzing and designing and making applications and testing applications. The Rough Set method is one of the methods above that allows us to make decisions in hotel services because in this method there are formulations or stages of problem mechanics and there is a result (decision) from a possible combination of the above criteria. From the results (decisions) that come from the processed data mining, it can be used as a reference for decision making. The results obtained in this study are finding a rule with the rough set method used to obtain the results of each criterion for service satisfaction results. The results obtained in this study are finding a rule with the rough set method used to obtain the results of each criterion for service satisfaction results.</p> Fricles Ariwisanto Sianturi Petti Indrayati Sijabat Amran Sitohang Copyright (c) 2021 Fricles Ariwisanto Sianturi, Petti Indrayati Sijabat, Amran Sitohang 2021-04-05 2021-04-05 5 2 266 274 10.33395/sinkron.v5i2.10863 Segmentation of Mango Fruit Image Using Fuzzy C-Means <p>Mango contains about 20 vitamins and minerals such as iron, copper, potassium, phosphorus, zinc, and calcium. The freshness of the ripe mango will taste sweet. The level of ripeness of the mango fruit can be seen from the texture of the skin and skin color. Ripe mangoes have a bright, fragrant color and a smooth skin texture. The problem found in mango segmentation is that the image of the mango fruit is influenced by several factors, such as noise and environmental objects. In measuring the maturity of mangoes traditionally, it can be seen from image analysis based on skin color. The mango peel segmentation process is needed so that the classification or pattern recognition process can be carried out better. The segmented mango image will read the feature extraction value of an object that has been separated from the background. The procedure on the image that has been analyzed will analyze the pattern recognition process. In this process, the segmented image is divided into several parts according to the desired object acquisition. Clustering is a technique for segmenting images by grouping data according to class and partitioning the data into mango datasets. This study uses the Fuzzy C Means method to produce optimal results in determining the clustering-based image segmentation. The final result of Fuzzy C-based mango segmentation processing means that the available feature extraction value or equal to the maximum number of iterations (MaxIter) is 31 iterations, error (x) = 0.00000001, and the image computation testing time is 2444.913636</p> Linda Marlinda Muhamad Fatchan Widiyawati Widiyawati Faruq Aziz Wahyu Indrarti Copyright (c) 2021 Linda Marlinda, Muhamad Fatchan, Widiyawati Widiyawati , Faruq Aziz, Wahyu Indrarti 2021-04-17 2021-04-17 5 2 275 281 10.33395/sinkron.v5i2.10933 Measurement of e-school User Experience, Does it Support Blended Learning during the Covid-19 Pandemic ? <p>This study aims to measure the User Experience of e-school in supporting blended learning during the Covid-19 Pandemic. The object of this research is the parent school of LPKA Class I Palembang, namely: SDN 25, SMPN 22, and SMAN 11 Palembang. Because of this, all of the parent schools implemented an e-school web system adapted from the LPKA Class I Palembang filial e-school. The method used in this study was UEQ which was introduced by (Schrepp, 2018). The results of UEQ measurements on parent-school students show that: a). web e-school SDN 25 Palembang, on the scale of attractiveness, clarity, and accuracy are categorized as "above average" while the scale of efficiency, stimulation, and novelty are categorized as "good". b). web e-school SMPN 22 Palembang, on the scale of attractiveness, clarity, and efficiency are categorized as "above average" while the scale of accuracy and stimulation are categorized as "good". For novelty scale in the "Excellent" category. c). Web e-school of SMAN 11 Palembang, on a scale of attractiveness, efficiency, stimulation, and novelty is categorized as "good" while clarity and accuracy are categorized as "above average". For novelty scale in the "Excellent" category. Meanwhile, what parent-school teachers feel about the e-school web, on a scale of attractiveness, clarity, efficiency, accuracy, and novelty are categorized as "above average". Meanwhile, the other scale, stimulation, is categorized as "below average". So in other words, the web-adapted e-school from the LPKA Class I Palembang filial e-school as a whole has been able to support Blended-Learning learning during the Covid-19 Pandemic, although improvements still need to be made.</p> Febrianty Febrianty Hendra Hadiwijaya D. Tri Octafian Copyright (c) 2021 Febrianty, Hendra Hadiwijaya, D. Tri Octafian 2021-04-21 2021-04-21 5 2 282 293 10.33395/sinkron.v5i2.10783 Development of prototype electronic dashboard service performance of LPKA class I Palembang <p>LPKA Palembang provides services to the community in the form of coaching in the fields of education, skills training, community guidance, and alleviation, services for Andikpas visits and complaints, remission submission services, assimilation, and other submissions especially to support alleviation programs such as the Conditional Leave (CB) program, Leaving Towards Free (CMB), and Parole (PB). To provide the best convenience and quality in providing services, a system is needed that can not only be used to submit and process service data online, but also can integrate service data so that it can be more easily accessed anytime and anywhere. The system created is an electronic dashboard or e-dashboard that can present data visually so that it is easily understood by readers. This study aims to build a prototype that can provide an overview of the e-dashboard system to be built. From the prototype evaluation, user feedback can be obtained which can be used to build an actual e-dashboard system so that it can reduce deviations from the system being built. The stages in this research are planning, designing, building, and evaluating the prototype. The results of this study are the development of e-Dashboard prototype that had been tested by 80% of LPKA Class I Palembang employees. The developed prototype has features that almost meet user needs because the system development is based on a quick analysis of the needs of future e-Dashboard users.</p> Hendra Hadiwijaya Febrianty Febrianty Rezania Agramanisti Azdy Copyright (c) 2021 Hendra Hadiwijaya, Febrianty, Rezania Agramanisti Azdy 2021-04-27 2021-04-27 5 2 394 304 10.33395/sinkron.v5i2.10779 Plagiarism Detection in Students' Theses Using The Cosine Similarity Method <p>The main requirement for graduation from students is to make a final scientific paper. One of the factors determining the quality of a student's scientific work is the uniqueness and innovation of the work. This research aims to apply data mining methods to detect similarities in titles, abstracts, or topics of students' final scientific papers so that plagiarism does not occur. In this research, the cosine similarity method is combined with the preprocessing method and TF-IDF to calculate the level of similarity between the title and the abstract of a student's final scientific paper, then the results will be displayed and compared with the existing final project repository based on the threshold value to make a decision whether scientific work can be accepted or rejected. Based on the test data and training data that has been applied to the TF-IDF method, it shows that the percentage level of similarity between the training data document and the test data document is 8%. This shows that the student thesis is still classified as unique and does not contain plagiarism content. The findings of this study can help the university in managing the administration of student theses so that plagiarism does not occur. Furthermore, it is necessary to study further adding methods to increase the accuracy of system performance so that when the process is run the system will work faster and optimally.</p> Oppi Anda Resta Addin Aditya Febry Eka Purwiantono Copyright (c) 2021 Oppi Anda Resta, Addin Aditya, Febry Eka Purwiantono 2021-05-01 2021-05-01 5 2 305 313 10.33395/sinkron.v5i2.10909 Grape disease detection using dual channel Convolution Neural Network method <p>Grapes are one type of fruit that is usually used to make grape juice, jelly, grapes, grape seed oil and raisins, or to be eaten directly. So far, checking for disease in grapes is still done manually, by checking the leaves of the grapes by experts. This method certainly takes a long time considering the extent of the vineyards that must be evaluated. To solve this problem, it is necessary to apply a method of detecting grape disease, so that it can help the common people to detect grape disease. This research will use the Dual-Channel Convolutional Neural Network method. The process of detecting grape disease using the DCCNN method will begin with the extraction of the leaves from the input image using the Gabor Filter method. After that, the Segmentation Based Fractal Co-Occurrence Texture Analysis method will be used to extract the features, color, and texture of the extracted leaves. The result is the number of datasets will affect the accuracy of the results of disease identification using the DCCNN method. However, more datasets will cause the execution process to take longer. Changes in the angle and frequency values in the Gabor method at the time of testing will reduce the accuracy of the test results. The conclusion of this study are the DCCNN method can be used to detect the type of leaf disease in grapes and the number of datasets will affect the accuracy of the results of disease identification using the DCCNN method.</p> Mawaddah Harahap Valencia Angelina Fenny Juliani Celvin Oscar Evander Copyright (c) 2021 Mawaddah Harahap, Valencia Angelina, Fenny Juliani, Celvin, Oscar Evander 2021-05-02 2021-05-02 5 2 314 324 10.33395/sinkron.v5i2.10939 Implementation of the Bayes Method for diagnosing tuberculosis <p>Tuberculosis is an infection caused by acid-resistant bacilli or an infectious disease that can attack anyone through the air is also a dangerous infectious disease besides it is also a chronic or chronic disease that can strike between the ages of 15-35 years. The purpose of this study is to help prevent tuberculosis by implementing an expert system using the Bayes method. The method used in this research includes identifying problems faced in the medical world for treating tuberculosis, analyzing the problem, then formulating the problem and applying an expert system with the Bayes method to solve the problems that are obtained, the next stage is designing an application as needed, testing the application with the aim of knowing the success rate of the system. The implementation of the Bayes method in diagnosing tuberculosis is found. The result is that the calculation process using the Bayes method is based on the symptoms experienced by the patient. It can be seen that the patient is "most likely" to have pulmonary tuberculosis with a confidence value of 0.64 or 64%. From the results of the research conducted, it can be concluded that in diagnosing Tuberculosis by using the Bayes method expert system, it can help medical parties handle cases more quickly in terms of recognizing the symptoms of Tuberculosis so that people quickly know the disease they are experiencing.</p> Nina Sari Volvo Sihombing Deci Irmayani Copyright (c) 2021 Nina Sari, Volvo Sihombing, Deci Irmayani 2021-05-04 2021-05-04 5 2 325 331 10.33395/sinkron.v5i2.10903