Pub Date : 2022-12-31DOI: 10.37600/tekinkom.v5i2.654
Noer Azni Septiani, Aulia Ayu Ningsih
The world is facing covid 19, countries are fighting against a virus that has been declared a global epidemic or pandemic by the World Health Organization. The need for medical gas during the Covid-19 pandemic is facing very high demand, both from hospitals and individuals. The problem with PT Gasindo Andalan Sukses is that the sales process is still carried out manually, marketing and offering products by visiting prospective customer locations so that it takes longer time and the success rate is erratic because there is still a price bargaining process. Based on these problems the author aims to create a web-based medical gas sales application at PT. Gasindo Andalan Success using customer relationship management (CRM) and Extreme Programming (XP) methods. The author hopes that it will be the right solution to make it easier for companies to market their products online to consumers. Another advantage is that companies can store data easily because of a computerized system.
{"title":"PENERAPAN CUSTOMER RELATIONSHIP MANAGEMENT PADA PENJUALAN GAS MEDICAL DENGAN METODE EXTREME PROGRAMMING","authors":"Noer Azni Septiani, Aulia Ayu Ningsih","doi":"10.37600/tekinkom.v5i2.654","DOIUrl":"https://doi.org/10.37600/tekinkom.v5i2.654","url":null,"abstract":"The world is facing covid 19, countries are fighting against a virus that has been declared a global epidemic or pandemic by the World Health Organization. The need for medical gas during the Covid-19 pandemic is facing very high demand, both from hospitals and individuals. The problem with PT Gasindo Andalan Sukses is that the sales process is still carried out manually, marketing and offering products by visiting prospective customer locations so that it takes longer time and the success rate is erratic because there is still a price bargaining process. Based on these problems the author aims to create a web-based medical gas sales application at PT. Gasindo Andalan Success using customer relationship management (CRM) and Extreme Programming (XP) methods. The author hopes that it will be the right solution to make it easier for companies to market their products online to consumers. Another advantage is that companies can store data easily because of a computerized system.","PeriodicalId":365934,"journal":{"name":"Jurnal Teknik Informasi dan Komputer (Tekinkom)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124028780","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-31DOI: 10.37600/tekinkom.v5i2.698
Delima Sitanggang, Nicholas Nicholas, Verrell Wilson, Arwin Riko Apwinto Sinaga, Amos Daniel Simanjuntak
Heart attack disease is a condition where the arteries are blocked due to fatty deposits. This disease causes several symptoms such as shortness of breath, chest pain. In addition, this is also due to impaired blood flow to the heart that is blocked and can destroy the heart muscle. Until now, heart attack disease is still the leading cause of death in Indonesia. The problem faced today is that it is very difficult to predict heart disease and determine whether a person has heart disease. An appropriate method is needed to predict heart disease. The purpose of this study was to calculate the level of accuracy in predicting heart attack using the K-Nearest Neighbor and Logistic Regression methods. Based on the research and data processing that has been applied and the comparison of the K-Nearest Neighbor and Logistic Regression algorithms, the final results are the accuracy of the Logistic Regression Algorithm of 88% and the K-Nearest Neighbor algorithm of 83%. Thus it can be concluded that the Logistic Regression algorithm is the best in predicting heart attack disease than the K-Nearest Neighbor algorithm.
{"title":"IMPLEMENTASI DATA MINING UNTUK MEMPREDIKSI PENYAKIT JANTUNG MENGGUNAKAN METODE K-NEAREST NEIGHBOR DAN LOGISTIC REGRESSION","authors":"Delima Sitanggang, Nicholas Nicholas, Verrell Wilson, Arwin Riko Apwinto Sinaga, Amos Daniel Simanjuntak","doi":"10.37600/tekinkom.v5i2.698","DOIUrl":"https://doi.org/10.37600/tekinkom.v5i2.698","url":null,"abstract":"Heart attack disease is a condition where the arteries are blocked due to fatty deposits. This disease causes several symptoms such as shortness of breath, chest pain. In addition, this is also due to impaired blood flow to the heart that is blocked and can destroy the heart muscle. Until now, heart attack disease is still the leading cause of death in Indonesia. The problem faced today is that it is very difficult to predict heart disease and determine whether a person has heart disease. An appropriate method is needed to predict heart disease. The purpose of this study was to calculate the level of accuracy in predicting heart attack using the K-Nearest Neighbor and Logistic Regression methods. Based on the research and data processing that has been applied and the comparison of the K-Nearest Neighbor and Logistic Regression algorithms, the final results are the accuracy of the Logistic Regression Algorithm of 88% and the K-Nearest Neighbor algorithm of 83%. Thus it can be concluded that the Logistic Regression algorithm is the best in predicting heart attack disease than the K-Nearest Neighbor algorithm.","PeriodicalId":365934,"journal":{"name":"Jurnal Teknik Informasi dan Komputer (Tekinkom)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129015252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In line with the rapid development of the internet and information technology, especially in computer networks, at this time it has become one of the basic things in all aspects. The objectives to be achieved in this research are to be able to monitor and measure the performance of the Bank Mandiri WLAN (Wireless Local Area Network) network in the Palembang Sudirman area. Action Research / Action Research Methods Action research is a process in which each individual or group who wants to make changes to the situation certain procedures to try procedures that are expected to provide changes and when they reach the conclusion stage they can be held accountable, in carrying out these procedures the results of the research on analyzing the quality of the WLAN network at the Mandiri Sudirman area in the category are very good according to the TIPHON standard and in accordance with the Quality Of Service (QoS), and for the implementation of the PCQ method the delay value before the implementation of PCQ is 32 ms and after PCQ is 8 ms, while the average packet loss before the implementation of PCQ is 1.5% and after PCQ is 0%
{"title":"ANALISIS PENINGKATAN KUALITAS JARINGAN WLAN PADA BANK MANDIRI AREA PALEMBANG SUDIRMAN DENGAN MENGGUNAKAN METODE PER CONNECTION QUEUE","authors":"Misinem - Misinem, Tri Basuki Kurniawan, Nurul Adha Oktarini S, Siti Nurdiana","doi":"10.37600/tekinkom.v5i2.520","DOIUrl":"https://doi.org/10.37600/tekinkom.v5i2.520","url":null,"abstract":"In line with the rapid development of the internet and information technology, especially in computer networks, at this time it has become one of the basic things in all aspects. The objectives to be achieved in this research are to be able to monitor and measure the performance of the Bank Mandiri WLAN (Wireless Local Area Network) network in the Palembang Sudirman area. Action Research / Action Research Methods Action research is a process in which each individual or group who wants to make changes to the situation certain procedures to try procedures that are expected to provide changes and when they reach the conclusion stage they can be held accountable, in carrying out these procedures the results of the research on analyzing the quality of the WLAN network at the Mandiri Sudirman area in the category are very good according to the TIPHON standard and in accordance with the Quality Of Service (QoS), and for the implementation of the PCQ method the delay value before the implementation of PCQ is 32 ms and after PCQ is 8 ms, while the average packet loss before the implementation of PCQ is 1.5% and after PCQ is 0%","PeriodicalId":365934,"journal":{"name":"Jurnal Teknik Informasi dan Komputer (Tekinkom)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125981201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-30DOI: 10.37600/tekinkom.v5i2.646
Akrim Teguh Suseno, Abdul Razak Naufal, Mohammad Al Amin
The COVID-19 pandemic has greatly affected the economy in Indonesia. The emphasis on the development of covid-19 through Enforcement of Restrictions on Community Activities has an impact on the Micro, Small and Medium Enterprises (MSME) sector, including product sales at the Distro Sextors. Therefore, a strategy is needed to increase sales, one of which is through data mining techniques with market based analysis. Data mining is one of the processes of Knowledge Discovery in Database (KDD) that uses scientific methods in its application. The data used in this study were 6531 sales transactions. The data mining algorithm used in this research is K-Medoids for grouping which aims to find the best cluster. The cluster experiments used are K-3, K-4, K-5, K-6 and K-7 then cluster testing is carried out using the Davies Bouldien Index (DBI) method and the results are cluster K-3 is the best cluster because it has a homogeneous value lowest. Then the association rule uses the FP-Growth algorithm and the minimum support value used is 6% to 7% while the minimum confidence value is 60%. The results of the association rule analysis are product recommendations that can be used as promotions to increase sales in Distro Sextors. The products are SE128, SE131, SE130, SE431, SE792, dan SE804.
2019冠状病毒病大流行严重影响了印尼的经济。强调通过执行对社区活动的限制来发展covid-19，对中小微企业(MSME)部门产生了影响，包括分销部门的产品销售。因此，需要一种策略来增加销售，其中之一是通过基于市场分析的数据挖掘技术。数据挖掘是数据库中知识发现的过程之一，在应用中采用科学的方法。本研究使用的数据为6531笔销售交易。本研究使用的数据挖掘算法是K-Medoids进行分组，目的是寻找最佳聚类。采用K-3、K-4、K-5、K-6和K-7进行聚类实验，采用Davies Bouldien Index (DBI)方法进行聚类检验，结果表明，聚类K-3均匀性最低，为最佳聚类。关联规则采用FP-Growth算法，最小支持度为6% ~ 7%，最小置信度为60%。关联规则分析的结果是产品推荐，可以用作促销以增加分销商的销售。产品有SE128、SE131、SE130、SE431、SE792、SE804。
{"title":"MARKET BASED ANALYSIS SEBAGAI PENINGKATAN PENJUALAN PRODUK MENGGUNAKAN ALGORITMA K-MEDOIDS DAN FP-GROWTH","authors":"Akrim Teguh Suseno, Abdul Razak Naufal, Mohammad Al Amin","doi":"10.37600/tekinkom.v5i2.646","DOIUrl":"https://doi.org/10.37600/tekinkom.v5i2.646","url":null,"abstract":"The COVID-19 pandemic has greatly affected the economy in Indonesia. The emphasis on the development of covid-19 through Enforcement of Restrictions on Community Activities has an impact on the Micro, Small and Medium Enterprises (MSME) sector, including product sales at the Distro Sextors. Therefore, a strategy is needed to increase sales, one of which is through data mining techniques with market based analysis. Data mining is one of the processes of Knowledge Discovery in Database (KDD) that uses scientific methods in its application. The data used in this study were 6531 sales transactions. The data mining algorithm used in this research is K-Medoids for grouping which aims to find the best cluster. The cluster experiments used are K-3, K-4, K-5, K-6 and K-7 then cluster testing is carried out using the Davies Bouldien Index (DBI) method and the results are cluster K-3 is the best cluster because it has a homogeneous value lowest. Then the association rule uses the FP-Growth algorithm and the minimum support value used is 6% to 7% while the minimum confidence value is 60%. The results of the association rule analysis are product recommendations that can be used as promotions to increase sales in Distro Sextors. The products are SE128, SE131, SE130, SE431, SE792, dan SE804.","PeriodicalId":365934,"journal":{"name":"Jurnal Teknik Informasi dan Komputer (Tekinkom)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131623929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Setting the layout of merchandise in each store window greatly affects consumer interest in shopping. To increase self-service sales, a strategy is needed to achieve this, one of which is to systematically arrange the layout of goods on merchandise shelves. The method used for implementing the layout of goods is to compare the performance of the Apriori Algorithm and the FP-Growth Algorithm in the data mining process using the Rapidminer Studio Educational Version 9.10.011 tools to obtain more accurate results. The data sample used is sales data at the Mohare Supermarket, which is tested to understand the association patterns generated by each method. Based on the test results with a minimum support of 20% and a minimum confidence of 70%, the Apriori Algorithm produces 10 rules with a support of 0.32258605 and an accuracy of 12.8%, while the FP-Growth Algorithm produces 78 rules with a support of 2.51612903 with an accuracy of 780%. Thus, the FP-Growth Algorithm can be stated to have a high degree of accuracy in generating association rules when compared to the Apriori Algorithm.
设置每个商店橱窗的商品布局会极大地影响消费者的购物兴趣。要增加自助销售，需要有一个策略来实现这一点，其中之一就是系统地安排商品在商品货架上的布局。实现商品布局的方法是使用Rapidminer Studio Educational Version 9.10.011工具，比较Apriori算法和FP-Growth算法在数据挖掘过程中的性能，以获得更准确的结果。使用的数据样本是Mohare Supermarket的销售数据，对其进行了测试，以理解每种方法生成的关联模式。基于最小支持度为20%，最小置信度为70%的测试结果，Apriori算法生成10条规则，支持度为0.32258605，准确率为12.8%，FP-Growth算法生成78条规则，支持度为2.51612903，准确率为780%。因此，与Apriori算法相比，FP-Growth算法在生成关联规则方面具有很高的准确性。
{"title":"ANALISIS PENERAPAN DATA MINING DALAM PENENTUAN TATA LETAK BARANG MENGGUNAKAN ALGORITMA APRIORI DAN FP-GROWTH","authors":"Afluqfy Harahap, Ade Luthfi Ramadhan Perangin-Angin, K. Kumar, Saut Parsaoran Parsaoran","doi":"10.37600/tekinkom.v5i2.692","DOIUrl":"https://doi.org/10.37600/tekinkom.v5i2.692","url":null,"abstract":"Setting the layout of merchandise in each store window greatly affects consumer interest in shopping. To increase self-service sales, a strategy is needed to achieve this, one of which is to systematically arrange the layout of goods on merchandise shelves. The method used for implementing the layout of goods is to compare the performance of the Apriori Algorithm and the FP-Growth Algorithm in the data mining process using the Rapidminer Studio Educational Version 9.10.011 tools to obtain more accurate results. The data sample used is sales data at the Mohare Supermarket, which is tested to understand the association patterns generated by each method. Based on the test results with a minimum support of 20% and a minimum confidence of 70%, the Apriori Algorithm produces 10 rules with a support of 0.32258605 and an accuracy of 12.8%, while the FP-Growth Algorithm produces 78 rules with a support of 2.51612903 with an accuracy of 780%. Thus, the FP-Growth Algorithm can be stated to have a high degree of accuracy in generating association rules when compared to the Apriori Algorithm.","PeriodicalId":365934,"journal":{"name":"Jurnal Teknik Informasi dan Komputer (Tekinkom)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128925023","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study aims to address the problem of determining whether or not students are eligible to receive scholarships at SMP Pembangunan Bagan Batu. Determination of scholarship recipients is done by building a computer-based decision support system that helps make it easier to determine students who are entitled to get the scholarship. Decision support system built using the Electre method. The criteria used in the DSS Electre Method consist of the Average Student Report Card Score, Total Parental Income, Total Dependents of Parents, Total Achievements of the student with a weight of 3,3,2,2 for each criterion. The final result of the DSS Electre method is a recommendation through favorable matrix data which is determined based on the highest number of 1s. The results of this research case study, alternatives with a value of at least 1 can be eliminated. The biggest score was obtained by Alternative Siswa_01 with the highest score of 1.
本研究旨在解决确定学生是否有资格获得Pembangunan Bagan Batu SMP奖学金的问题。奖学金获得者的确定是通过建立一个基于计算机的决策支持系统来完成的，该系统有助于更容易地确定有资格获得奖学金的学生。采用Electre方法构建决策支持系统。DSS电子法采用的标准包括学生平均成绩单分数、父母总收入、父母受抚养人总数、学生总成绩，每个标准的权重分别为3,3,2,2。DSS Electre方法的最终结果是通过有利矩阵数据进行推荐，而有利矩阵数据是根据最大的1个数确定的。本研究案例研究的结果表明，值至少为1的替代方案可以被淘汰。Alternative Siswa_01得分最高，为1分。
{"title":"SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN PENERIMA BEASISWA MENGGUNAKAN METODE ELECTRE","authors":"Betaria Sonata Sianturi, Volvo Sihombing, Ibnu Rasyid Munthe","doi":"10.37600/tekinkom.v5i2.684","DOIUrl":"https://doi.org/10.37600/tekinkom.v5i2.684","url":null,"abstract":"This study aims to address the problem of determining whether or not students are eligible to receive scholarships at SMP Pembangunan Bagan Batu. Determination of scholarship recipients is done by building a computer-based decision support system that helps make it easier to determine students who are entitled to get the scholarship. Decision support system built using the Electre method. The criteria used in the DSS Electre Method consist of the Average Student Report Card Score, Total Parental Income, Total Dependents of Parents, Total Achievements of the student with a weight of 3,3,2,2 for each criterion. The final result of the DSS Electre method is a recommendation through favorable matrix data which is determined based on the highest number of 1s. The results of this research case study, alternatives with a value of at least 1 can be eliminated. The biggest score was obtained by Alternative Siswa_01 with the highest score of 1.","PeriodicalId":365934,"journal":{"name":"Jurnal Teknik Informasi dan Komputer (Tekinkom)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122587515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-23DOI: 10.37600/tekinkom.v5i2.516
Nurahman Nurahman, S. Aminah
Batuah Village, Seranau District, Kotawaringin Timur Regency is a village with a difficult economy. The population is increasing, the problems of life are also getting more diverse. Every citizen needs a decent life, so the government held a social assistance program for the residents of Batuah village. This program is expected to help underprivileged families as one of the government's efforts to overcome poverty. Food assistance must be given to people who are entitled to receive it. But sometimes there is still social jealousy caused by the closeness of neighbors and other factors. Other problems that occur include registered residents who have died still receiving assistance, residents who had problems last year still received assistance, and there were residents who received double social assistance. The purpose of this research is to build a simpler role or decision tree to determine the recipients of social assistance. In addition, this study also aims to determine the values of precision, recall, and accuracy. The algorithm used to build the decision tree is Algorithm C4.5. The results of the study using 100 data samples showed that the algorithm's performance reached an accuracy value of 93.00%, a precision value of 100.00%, and a recall value of 65.00%. The performance of the algorithm produced in this study is included in the very good category so that the decision tree resulting from this study can be used as a recommendation to determine social recipients in Batuah village.
{"title":"KLASIFIKASI PENERIMA BANTUAN SOSIAL DI DESA BATUAH MENGGUNAKAN METODE ALGORITMA C4.5","authors":"Nurahman Nurahman, S. Aminah","doi":"10.37600/tekinkom.v5i2.516","DOIUrl":"https://doi.org/10.37600/tekinkom.v5i2.516","url":null,"abstract":"Batuah Village, Seranau District, Kotawaringin Timur Regency is a village with a difficult economy. The population is increasing, the problems of life are also getting more diverse. Every citizen needs a decent life, so the government held a social assistance program for the residents of Batuah village. This program is expected to help underprivileged families as one of the government's efforts to overcome poverty. Food assistance must be given to people who are entitled to receive it. But sometimes there is still social jealousy caused by the closeness of neighbors and other factors. Other problems that occur include registered residents who have died still receiving assistance, residents who had problems last year still received assistance, and there were residents who received double social assistance. The purpose of this research is to build a simpler role or decision tree to determine the recipients of social assistance. In addition, this study also aims to determine the values of precision, recall, and accuracy. The algorithm used to build the decision tree is Algorithm C4.5. The results of the study using 100 data samples showed that the algorithm's performance reached an accuracy value of 93.00%, a precision value of 100.00%, and a recall value of 65.00%. The performance of the algorithm produced in this study is included in the very good category so that the decision tree resulting from this study can be used as a recommendation to determine social recipients in Batuah village.","PeriodicalId":365934,"journal":{"name":"Jurnal Teknik Informasi dan Komputer (Tekinkom)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114598880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-23DOI: 10.37600/tekinkom.v5i2.649
Muhammad Yusril Haffandi, Elin Haerani, Fadhilah Syafria, Lolo Oktavia
The lungs are one of the organs of the human body that are very important in the process of respiration. There are several types of lung diseases, including Asthma, Bronchitis, Dyspnea, Pneumonia, COPD, and Tuberculosis. There are difficulties in the classification process, because the symptoms shown by sufferers have similarities between diseases. The purpose of this research is to classify lung disease using the Naive Bayes Classifier method. The choice of this method is because it only requires a small amount of training data to determine the estimated parameters needed in the classification process. This research was conducted at the Regional General Hospital Major General HA Thalib City of Sungai Full from August 3 2022 to September 3 2022. The data taken was in the form of medical records of lung disease patients from July to August as many as 134 patient data containing 19 symptoms disease and 6 disease diagnoses. From the test results using the Rapidminer application and data separation in the form of 34 testing data and 100 training data with a data comparison of 7:3, an accuracy value of 97.06 was obtained.
{"title":"KLASIFIKASI PENYAKIT PARU-PARU DENGAN MENGGUNAKAN METODE NAÏVE BAYES CLASSIFIER","authors":"Muhammad Yusril Haffandi, Elin Haerani, Fadhilah Syafria, Lolo Oktavia","doi":"10.37600/tekinkom.v5i2.649","DOIUrl":"https://doi.org/10.37600/tekinkom.v5i2.649","url":null,"abstract":"The lungs are one of the organs of the human body that are very important in the process of respiration. There are several types of lung diseases, including Asthma, Bronchitis, Dyspnea, Pneumonia, COPD, and Tuberculosis. There are difficulties in the classification process, because the symptoms shown by sufferers have similarities between diseases. The purpose of this research is to classify lung disease using the Naive Bayes Classifier method. The choice of this method is because it only requires a small amount of training data to determine the estimated parameters needed in the classification process. This research was conducted at the Regional General Hospital Major General HA Thalib City of Sungai Full from August 3 2022 to September 3 2022. The data taken was in the form of medical records of lung disease patients from July to August as many as 134 patient data containing 19 symptoms disease and 6 disease diagnoses. From the test results using the Rapidminer application and data separation in the form of 34 testing data and 100 training data with a data comparison of 7:3, an accuracy value of 97.06 was obtained.","PeriodicalId":365934,"journal":{"name":"Jurnal Teknik Informasi dan Komputer (Tekinkom)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131176002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-23DOI: 10.37600/tekinkom.v5i2.660
Theresia Herlina Rochadiani, Handri Santoso, W. Widjaja, Ulfah Dzakiyah Nisrina Ariqoh, Regina Angelika Septi Rahayu, Youzy Natasya
As a country rich in fish species diversity, Indonesia was ranked as the fourth largest exporter of ornamental fish in the world from 2016 to 2019. Ornamental fish is one of the potential commodities. However, crop failure due to uncontrolled water quality such as rising ph levels is a problem that needs to be solved. As a solution, this study builds a LoRaWAN-based IoT system to be able to monitor ph, tds, and pool water temperature levels of koki and molly fish pond from anywhere and anytime through a mobile application. The sensor node uses a Heltec Lora Wi-Fi 32 v2 microcontroller that supports LoRa technology and uses the DS18B20 sensor as a temperature sensor, and a DFRobot sensor to measure ph and tds. From the test results, the accuracy of each sensor is quite good with an average error of 0.35 for temperature sensors and 0.37 for ph sensors, as well as an error percentage on tds sensors of 1.5. From the results of the implementation, the ph and temperature values in the koki fish and molly fish pond are quite good as habitats, but the tds value of pond water is quite high.
{"title":"RANCANG BANGUN SISTEM IOT UNTUK PETERNAKAN IKAN HIAS KOKI DAN MOLLY","authors":"Theresia Herlina Rochadiani, Handri Santoso, W. Widjaja, Ulfah Dzakiyah Nisrina Ariqoh, Regina Angelika Septi Rahayu, Youzy Natasya","doi":"10.37600/tekinkom.v5i2.660","DOIUrl":"https://doi.org/10.37600/tekinkom.v5i2.660","url":null,"abstract":"As a country rich in fish species diversity, Indonesia was ranked as the fourth largest exporter of ornamental fish in the world from 2016 to 2019. Ornamental fish is one of the potential commodities. However, crop failure due to uncontrolled water quality such as rising ph levels is a problem that needs to be solved. As a solution, this study builds a LoRaWAN-based IoT system to be able to monitor ph, tds, and pool water temperature levels of koki and molly fish pond from anywhere and anytime through a mobile application. The sensor node uses a Heltec Lora Wi-Fi 32 v2 microcontroller that supports LoRa technology and uses the DS18B20 sensor as a temperature sensor, and a DFRobot sensor to measure ph and tds. From the test results, the accuracy of each sensor is quite good with an average error of 0.35 for temperature sensors and 0.37 for ph sensors, as well as an error percentage on tds sensors of 1.5. From the results of the implementation, the ph and temperature values in the koki fish and molly fish pond are quite good as habitats, but the tds value of pond water is quite high.","PeriodicalId":365934,"journal":{"name":"Jurnal Teknik Informasi dan Komputer (Tekinkom)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124253000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-12-23DOI: 10.37600/tekinkom.v5i2.589
I. Gunawan, Muhamad Sadali, Suhartini Suhartini, Imam Fathurrahman
Climbing generally refers to a long journey and usually takes a small path leading to a higher place such as the top of a mountain. When climbing, sometimes novice climbers do not know the basics of climbing, resulting in unwanted events such as the wrong way, so there needs to be a system for monitoring the position of climbers from the guard post. This system, helps managers to monitor the whereabouts of climbers from the start to the location that climbers want to visit where the position data is processed by the Lora Module and displayed on the OLED and the application website as a monitoring system. This tool is in the form of a Radio Frequency Identification (RFID) bracelet and (RFID) Reader to detect climbers, every climber who registers to climb will be given a Radio Frequency Identification (RFID) bracelet. on the tools that have been provided, so that the manager knows the climbers are already at the post through the monitoring website. The results of this study are in the form of a tool product in the form of a bracelet which is scanned in an RFID Reader then the data will be sent via a wireless network to a web server/web application on the coast guard post, the test results obtained that the tool can be read properly and the process of sending data to the web application takes about 2 seconds.
{"title":"PERANCANGAN ALAT DAN SISTEM PEMANTAUAN PENDAKI GUNUNG BERBASIS INTERNET OF THINGS (IOT)","authors":"I. Gunawan, Muhamad Sadali, Suhartini Suhartini, Imam Fathurrahman","doi":"10.37600/tekinkom.v5i2.589","DOIUrl":"https://doi.org/10.37600/tekinkom.v5i2.589","url":null,"abstract":"Climbing generally refers to a long journey and usually takes a small path leading to a higher place such as the top of a mountain. When climbing, sometimes novice climbers do not know the basics of climbing, resulting in unwanted events such as the wrong way, so there needs to be a system for monitoring the position of climbers from the guard post. This system, helps managers to monitor the whereabouts of climbers from the start to the location that climbers want to visit where the position data is processed by the Lora Module and displayed on the OLED and the application website as a monitoring system. This tool is in the form of a Radio Frequency Identification (RFID) bracelet and (RFID) Reader to detect climbers, every climber who registers to climb will be given a Radio Frequency Identification (RFID) bracelet. on the tools that have been provided, so that the manager knows the climbers are already at the post through the monitoring website. The results of this study are in the form of a tool product in the form of a bracelet which is scanned in an RFID Reader then the data will be sent via a wireless network to a web server/web application on the coast guard post, the test results obtained that the tool can be read properly and the process of sending data to the web application takes about 2 seconds.","PeriodicalId":365934,"journal":{"name":"Jurnal Teknik Informasi dan Komputer (Tekinkom)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123710951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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