Articles
22 Documents
Search results for
, issue
"Vol. 5 No. 1 (2020): Article Research, October 2020"
:
22 Documents
clear
<![CDATA[Prediksi Stok Obat di RSU HKBP Balige Menggunakan Adaptive Neuro-Fuzzy Inference System ]]>
<![CDATA[Dharma, Arie Satia]]>;
<![CDATA[Tampubolon, Lily Andayani]]>;
<![CDATA[Purba, Daniel Somanta]]>
<![CDATA[ Sinkron : jurnal dan penelitian teknik informatika Vol. 5 No. 1 (2020): Article Research, October 2020 ]]>
Publisher : <![CDATA[Politeknik Ganesha Medan ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.33395/sinkron.v5i1.10529
<![CDATA[Currently the purchases of drugs at Instalasi Farmasi RSU (IFRS) HKBP Balige are based on the examination of the amount of drugs usage. The purchases of drugs based on the examination of the amount of drugs usage cause frequent unplanned drugs purchases that must be hastened (cito) and purchases to other pharmacies. The purchases of cito and purchases to other pharmacies will inflict a financial loss to the patients, because when IFRS makes drugs purchases of cito or to other pharmacies, the cost of the drugs will be more expensive. Therefore, in this research, a prediction of drugs stock in IFRS HKBP Balige using Adaptive Neuro Fuzzy Inference System (ANFIS) will be carried out. ANFIS is a combination of Least Square Estimator (LSE) and Error Back Propagation (EBP) algorithms. ANFIS consists of forward pass and the backward pass learning. The sample data used to predict drugs stock in this research is data of drugs sales at the IFRS HKBP Balige from 2013 to 2015. From the results of drugs stock prediction research with ANFIS, obtained that number of errors of ANFIS model is 5.52%. Based on MAPE accuracy level evaluation, number of errors have an excellent rate so that it can be concluded that the predicted results of the drugs stock are good.]]>
<![CDATA[Sentiment Analysis Of Full Day School Policy Comment Using Naïve Bayes Classifier Algorithm ]]>
<![CDATA[Al Fath, Miftahul Kahfi]]>;
<![CDATA[Arini, Arini]]>;
<![CDATA[Hakiem, Nashrul]]>
<![CDATA[ Sinkron : jurnal dan penelitian teknik informatika Vol. 5 No. 1 (2020): Article Research, October 2020 ]]>
Publisher : <![CDATA[Politeknik Ganesha Medan ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.33395/sinkron.v5i1.10564
<![CDATA[Sentiment analysis is an important and emerging research topic today. Sentiment analysis is done to see opinion or tendency of opinion to a problem or object by someone, whether it tends to have a negative or positive view. The main purpose of this study is to find out public sentiment on Full Day school's policy comment from Facebook Page of Kemendikbud RI and to find out the performance of the Naïve Bayes Classifier Algorithm. In this study, the authors used the Naïve Bayes Classifier algorithm with trigram and quad ram character feature selection with two different training data models and labeling of training data using Lexicon Based method in the classification of public sentiment toward the Full day school policy. The result of this research shows that public negative sentiment toward Full Day School policy is more than positive or neutral sentiment. The highest accuracy value is the Naïve Bayes Classifier algorithm with trigram feature selection of 300 data training models with a value of 80%. The greater of training data and feature selection used on the Naïve Bayes Classifier Algorithm affected the accurate result.]]>
<![CDATA[Prediction of Netizen Tweets Using Random Forest, Decision Tree, Naïve Bayes, and Ensemble Algorithm ]]>
<![CDATA[Rianto, Yan]]>;
<![CDATA[Kuntoro, Antonius Yadi]]>
<![CDATA[ Sinkron : jurnal dan penelitian teknik informatika Vol. 5 No. 1 (2020): Article Research, October 2020 ]]>
Publisher : <![CDATA[Politeknik Ganesha Medan ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.33395/sinkron.v5i1.10565
<![CDATA[The current Governor of DKI Jakarta, even though he has been elected since 2017 is always interesting to talk about or even comment on. Comments that appear come from the media directly or through social media. Twitter has become one of the social media that is often used as a media to comment on elected governors and can even become a trending topic on Twitter social media. Netizens who comment are also varied, some are always Tweeting criticism, some are commenting Positively, and some are only re-Tweeting. In this research, a prediction of whether active Netizens will tend to always lead to Positive or Negative comments will be carried out in this study. Model algorithms used are Decision Tree, Naïve Bayes, Random Forest, and also Ensemble. Twitter data that is processed must go through preprocessing first before proceeding using Rapidminer. In trials using Rapidminer conducted in four trials by dividing into two parts, namely testing data and training data. Comparisons made are 10% testing data: 90% Training data, then 20% testing data: 80% training data, then 30% testing data: 70% training data, and the last is 35% testing data: 65% training data. The average Accuracy for the Decision Tree algorithm is 93.15%, while for the Naïve Bayes algorithm the Accuracy is 91.55%, then for the Random Forest algorithm is 93.41, and the last is the Ensemble algorithm with an Accuracy of 93, 42%. here.]]>
<![CDATA[Web-Based Desktop Support Trouble Ticket System Design In PT. Mnc Mediacom Cable ]]>
<![CDATA[Shulton, Besus Maulana]]>;
<![CDATA[Zuraidah, Eva]]>
<![CDATA[ Sinkron : jurnal dan penelitian teknik informatika Vol. 5 No. 1 (2020): Article Research, October 2020 ]]>
Publisher : <![CDATA[Politeknik Ganesha Medan ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.33395/sinkron.v5i1.10570
<![CDATA[In recent years the existence of web-based information systems in Indonesia has increasingly felt its presence in supporting daily activities, both economic and non-economic. Manually processing data certainly cannot keep up with the need for fast, precise, and accurate presentation of information. Currently, manual data processing is considered less effective for providing reports and information for companies that are developing and have diverse transactions. The importance of Trouble Ticket Desktop Support is to make equalization of workloads that are fair and balanced besides that it is also a tool for assessment on each a technician. So with this, the author tries to examine the application of web-based technology that can be applied to problems that exist in one activity so that it can integrate the activities concerned. Ticket Desktop Support as a process to collect data from various existing sources and Desktop Support is required to be active monitor and treat user needs. With Trouble Ticket Desktop Support that is well integrated so that accessing data on Desktop Support can be done easily and quickly in order to measure the level of problems and access reports by the Head of IT Operations, as well as problems can be handled well within the scope of problem boundaries that produce the right solution to manage resources the power available, with this application it will be clear what problems are faced by the customer.]]>
<![CDATA[An Aplikasi Sistem Pakar Diagnosa Penyakit Mata Pada Manusia Menggunakan Metode Certainty Factor Berbasis Web ]]>
<![CDATA[Wijaya, Bayu Angga]]>;
<![CDATA[Tanjung, Juliansyah Putra]]>
<![CDATA[ Sinkron : jurnal dan penelitian teknik informatika Vol. 5 No. 1 (2020): Article Research, October 2020 ]]>
Publisher : <![CDATA[Politeknik Ganesha Medan ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.33395/sinkron.v5i1.10579
<![CDATA[Eye is the important senses. If the eye is disrupted then ignore it, it will disturb. In fact, many people delay to checked eye diseases that them suffered, due to the lack of knowledge society, the cost is quite expensive and the imbalance between patients and doctors so that should be queued if will check the eye health. It is necessary for the expert system that can diagnose eye diseases, so a people can checking their eye diseases suffered without have to go to the doctors. This expert system is based on web with the programming language PHP and MySQL database. In the process of withdrawal conclusion, system using the certainty factors method that use a value to assume degree of confidence from an expert to a data. Expert system provides results in the form of the possibility of illness suffered, the value of the percentage of beliefs from the illness and the treatment solution based on the value of confidence that given and system is able to know the type of eye disease experienced by the user based on the symptoms chosen by the user. So, it can help the people to know the eye disease their suffered and the action can be done faster.]]>
<![CDATA[Implementation of Apriori Algorithm Data Mining for Increase Sales ]]>
<![CDATA[Alfianzah, Reza]]>;
<![CDATA[Handayani, Rani Irma]]>;
<![CDATA[Murniyati, Murniyati]]>
<![CDATA[ Sinkron : jurnal dan penelitian teknik informatika Vol. 5 No. 1 (2020): Article Research, October 2020 ]]>
Publisher : <![CDATA[Politeknik Ganesha Medan ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.33395/sinkron.v5i1.10587
<![CDATA[Any company or organization that wants to survive needs to determine the right business strategy. The product sales data carried out by Lakoe Dessert Pondok Kacang will eventually result in a pile of data, so it is unfortunate if it is not re-analyzed. The products offered vary with a wide variety of products as many as 45 products, to find out the products with the most sales and the relationship between one product and another, one of the algorithms is needed in the data mining algorithm, namely the a priori algorithm to find out, and with the help of the Rapidminer 5 application, with a support value 2,4% and a confidence value 50%, products that customers often buy or are interested in can be found. This study used sales data for March 2020, which amounted to 209 transaction data. From the research, it was found that the item with the name Pudding Strawberry and Pudding Vanilla was the product most purchased by consumers. With knowledge of the most sold products and the patterns of purchasing goods by consumers, Lakoe Dessert Pondok Kacang can develop marketing strategies to market other products by analyzing the profits from selling the most sold products and anticipating running out or empty of stock or materials at a later date.]]>
<![CDATA[Twitter Comment Predictions on Dues Changes BPJS Health In 2020 ]]>
<![CDATA[Fahlapi, Riza]]>;
<![CDATA[Rianto, Yan]]>
<![CDATA[ Sinkron : jurnal dan penelitian teknik informatika Vol. 5 No. 1 (2020): Article Research, October 2020 ]]>
Publisher : <![CDATA[Politeknik Ganesha Medan ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.33395/sinkron.v5i1.10588
<![CDATA[The Social Security Administering Body (BPJS) is a facility established by The government in providing services to citizens in The field of health welfare. The Spirit of cooperation in the utilization of health services which is very much currently a constraint in the budget is still insufficient in covering health services as a whole. For this reason, government policy is following with PERPRES No. 75 in 2019, the Government officially raised the BPJS Health contributions for 2020. The increase in BPJS Health contributions certainly caused a lot of comments. Namely Twitter, one of the social media that is used by the public to express disapproval or support for this government policy. This study, testing was carried out related to the prediction of comments from social media on community responses to the increase in BPJS Health contributions taken by the government. In the test carried out 3 (three) input algorithms. For every single algorithm including getting results through the K-NN method with an accuracy of 71.83% and AUC value of 0812, for the Naïve Bayes method produces an accuracy of 81.63% and AUC value of 0586. As for the C 4.5 method, the accuracy is 65.37% and the AUC value is 0628. While testing conducted through the Ensembles Vote method which combines the 3 algorithms above gives the best results with an accuracy of 80.10% and AUC value is 0871 for Twitter comment predictions.]]>
<![CDATA[Data Mining Model For Designing Diagnostic Applications Inflammatory Liver Disease ]]>
<![CDATA[Pahlevi, Omar]]>;
<![CDATA[Amrin, Amrin]]>
<![CDATA[ Sinkron : jurnal dan penelitian teknik informatika Vol. 5 No. 1 (2020): Article Research, October 2020 ]]>
Publisher : <![CDATA[Politeknik Ganesha Medan ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.33395/sinkron.v5i1.10589
<![CDATA[Hepatitis is an infectious disease that is a public health problem that affects morbidity, mortality, public health status, life expectancy, and other socio-economic impacts. Early diagnosis of hepatitis is very important so that it can be treated and treated quickly. In this study, the authors will apply and compare several data mining classification methods, including the C4.5 algorithm, Naïve Bayes, and k-Nearest Neighbor to diagnose hepatitis, then compare which of the three methods is the most accurate. Based on the results of measuring the performance of the three models using the Cross Validation, Confusion Matrix and ROC Curve methods, it is known that the C4.5 method is the best method with an accuracy of 70.99% and an under the curva (AUC) value of 0.950, then the k-Nearest Neighbor method with accuracy of 67.19% and the value under the curve (AUC) 0.873, then the naïve Bayes method with an accuracy rate of 66.14% and a value under the curve (AUC) of 0.742.]]>
<![CDATA[Sistem Pakar Untuk Mendiagnosa Keluhan Pada Kehamilan Trimester Ketiga ]]>
<![CDATA[Wati, Embun Fajar]]>;
<![CDATA[Puspitasari, Anggi]]>
<![CDATA[ Sinkron : jurnal dan penelitian teknik informatika Vol. 5 No. 1 (2020): Article Research, October 2020 ]]>
Publisher : <![CDATA[Politeknik Ganesha Medan ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.33395/sinkron.v5i1.10593
<![CDATA[Limited time in consulting becomes an obstacle for midwives in diagnosing complaints in pregnant women, especially those who are already in the III trimester and approaching the labor process. Misdiagnosis results in inaccuracies in the provision of solutions and actions. Initial treatment that corresponds to the complaints of pregnant women especially the third trimester is expected to reduce mortality rates in the mother and fetus. Expert System can be a timely solution with not too long so as to improve the quality of examination on midwives. The methods used are identification, primary and secondary data collection, forward chaining data analysis combined with bayesian, and evaluation with the calculation of the percentage of system success. Samples taken by 20 patients and 4 patients were declared unsyed because they had only one complaint. Meanwhile, 16 patients had some complaints that complied with the Rules. A total of 11 out of 16 patients or about 70% had valid results between the diagnosis of experts/midwives with the system. It can be concluded that the system works well to diagnose complaints in patients with a third trimester gestational age so that midwives can provide appropriate initial solutions and treatment in reducing maternal and infant mortality.]]>
<![CDATA[Penerapan Artificial Intelligence Pada Kotak Amal Masjid Dan Mushalla Sebagai Security System Berbasis Radio Frequency Identification ]]>
<![CDATA[Defnizal, Defnizal]]>;
<![CDATA[Ernes, Risa Nadia]]>
<![CDATA[ Sinkron : jurnal dan penelitian teknik informatika Vol. 5 No. 1 (2020): Article Research, October 2020 ]]>
Publisher : <![CDATA[Politeknik Ganesha Medan ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.33395/sinkron.v5i1.10594
<![CDATA[The high crime rate in Indonesia has had a bad impact and loss on society, so that various efforts have been made to increase awareness and security in society. Charity box theft is a target of crime for criminals. For this reason, it is necessary to take strict steps in terms of vigilance and security so that the crime of theft of charity boxes can be avoided. One of the steps to increase awareness and safety is to apply the concept of security to the charity box. By utilizing several supporting sensors and supporting components in the charity box, the security system will work automatically, so that if there is a charity box theft, the system will provide an SMS notification to the mosque management. This research is focused on the problem of security facilities and supervision of charity boxes in mosques or mushalla. Using this system will reduce the risk of theft of charity boxes in mosques and mushalla, because apart from being equipped with an alarm and SMS gateway, this system is also equipped with RFID so that access to open charity boxes can be safer. This form of system works if the charity box is lifted or dismantled by force, the system will provide notification in the form of an alarm and SMS, so that the crime of theft of the charity box can be more aware of.]]>
