Sinkron : jurnal dan penelitian teknik informatika 2021-04-17T00:56:05+07:00 Nurul Khairina Open Journal Systems <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 Articles sent to the Sinkron journal may not be published elsewhere.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> Implementation of address recording management using the K-Means clustering classification algorithm in Kebayoran District, DKI Jakarta 2021-02-16T15:55:54+07:00 Rusdiansyah Rusdiansyah Harun Al Rasyid Suryanto Sosrowidigdo <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> 2021-04-01T00:00:00+07:00 Copyright (c) 2021 Rusdiansyah Rusdiansyah, Harun Al Rasyid, Suryanto Sosrowidigdo The MOORA method for selecting software App: price-quality ratio approach 2021-03-11T23:27:14+07:00 Akmaludin Akmaludin Erene Gernaria Sihombing Linda Sari Dewi Rinawati Rinawati Ester Arisawati <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> 2021-04-01T00:00:00+07:00 Copyright (c) 2021 Akmaludin Akmaludin, Erene Gernaria Sihombing , Linda Sari Dewi, Rinawati Rinawati , Ester Arisawati Implementation of Convolutional Neural Network in the classification of red blood cells have affected of malaria 2020-11-10T05:29:04+07:00 Mawaddah Harahap Jefferson Jefferson Surya Barti Suprianto Samosir Christi Andika Turnip <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> 2021-04-01T00:00:00+07:00 Copyright (c) 2021 Mawaddah Harahap, Jefferson Jefferson, Surya Barti, Suprianto Samosir, Christi Andika Turnip Prediction analysis of student interest in design learning using Naïve Bayes method 2020-11-04T23:28:12+07:00 Jefri Junifer Pangaribuan Ferawaty Ferawaty <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> 2021-04-01T00:00:00+07:00 Copyright (c) 2021 Jefri Junifer Pangaribuan, Ferawaty Ferawaty Application of medical equipment procurement data mining using the Apriori method 2021-03-18T00:13:29+07:00 Phindika Phindika Yopi Handrianto Sulaeman Hadi Sukmana <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> 2021-04-01T00:00:00+07:00 Copyright (c) 2021 Phindika Phindika, Yopi Handrianto, Sulaeman Hadi Sukmana Decision Support System for increasing position of Office at PT. Gramedia Asri Media using Profile Matching Method 2021-03-12T17:40:05+07:00 Kartika Mariskhana Ita Dewi Sintawati Widiarina Widiarina Rusdiansyah Rusdiansyah <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> 2021-04-01T00:00:00+07:00 Copyright (c) 2021 Kartika Mariskhana, Ita Dewi Sintawati, Widiarina Widiarina, Rusdiansyah Rusdiansyah Developing a legal assistant website “Notoaturan” using Waterfall method 2021-03-19T11:58:29+07:00 Melinda Utami Bita Parga Zen Yayi Sufia Rauna <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> 2021-04-01T00:00:00+07:00 Copyright (c) 2021 Melinda Utami, Yayi Sufia Rauna, Bita Parga Zen Analysis of the selection of propagation models from outside into the building at 1800 MHz and 2100 MHz 2021-03-17T14:58:10+07:00 Panangian Mahadi Sihombing Maksum Pinem Sri Indah Rezkika <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> 2021-04-03T00:00:00+07:00 Copyright (c) 2021 Panangian Mahadi Sihombing, Maksum Pinem, Sri Indah Rezkika Pe Application of the K-Means Algorithm in Grouping Households by Province and Ownership Status of Owned Houses 2021-04-02T10:39:33+07:00 Kristin Sianipar Septri Siahaan Indra Gunawan <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> 2021-04-08T00:00:00+07:00 Copyright (c) 2021 Kristin Sianipar, Septri Siahaan, Indra Gunawan Implementation of the Bayes theorem method for identifying diseases of children under five 2021-04-02T09:51:57+07:00 Macro Ramadhani Volvo Sihombing Masrizal Masrizal <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> 2021-04-05T00:00:00+07:00 Copyright (c) 2021 Macro Ramadhani, Volvo Sihombing, Masrizal Application of the rough set method to the level of customer satisfaction on service quality 2021-04-17T00:56:05+07:00 Fricles Ariwisanto Sianturi Petti Indrayati Sijabat Amran Sitohang <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> 2021-04-05T00:00:00+07:00 Copyright (c) 2021 Fricles Ariwisanto Sianturi, Petti Indrayati Sijabat, Amran Sitohang Segmentation of Mango Fruit Image Using Fuzzy C-Means 2021-04-02T19:40:41+07:00 Linda Marlinda Muhamad Fatchan Widiyawati Widiyawati Faruq Aziz Wahyu Indrarti <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> 2021-04-17T00:00:00+07:00 Copyright (c) 2021 Linda Marlinda, Muhamad Fatchan, Widiyawati Widiyawati , Faruq Aziz, Wahyu Indrarti