In today's era, marketing techniques use brochures, pamphlets, video advertisements, newspapers and word of mouth. This has a deficiency in consumer confidence because it cannot interact directly with the product of interest. A good marketing strategy methodology will influence buyer interest and increase sales traffic. In this case it provides opportunities for MSMEs, especially UD. Creative to increase sales traffic. Business progress can be seen from the marketing sector which continues to increase. MSME entrepreneurs use marketing methods in the form of pamphlets and word of mouth. This affects the lack of increased sales. This application is able to provide experience to potential customers to interact directly with products in Augmented Reality. This application displays 3D objects in real time and sees the shape of the object in detail, so that potential customers have more confidence in the product to be purchased. This application feature can add other objects stored in external storage or in the form of links, so users don't have to bother rebuilding the application when they want to add other objects
{"title":"Katalog Digital Untuk Promosi Tas Wanita Berbasis Augmented Reality","authors":"Firdaus Margo Utomo, Rohman Dijaya","doi":"10.29408/jit.v6i2.12275","DOIUrl":"https://doi.org/10.29408/jit.v6i2.12275","url":null,"abstract":"In today's era, marketing techniques use brochures, pamphlets, video advertisements, newspapers and word of mouth. This has a deficiency in consumer confidence because it cannot interact directly with the product of interest. A good marketing strategy methodology will influence buyer interest and increase sales traffic. In this case it provides opportunities for MSMEs, especially UD. Creative to increase sales traffic. Business progress can be seen from the marketing sector which continues to increase. MSME entrepreneurs use marketing methods in the form of pamphlets and word of mouth. This affects the lack of increased sales. This application is able to provide experience to potential customers to interact directly with products in Augmented Reality. This application displays 3D objects in real time and sees the shape of the object in detail, so that potential customers have more confidence in the product to be purchased. This application feature can add other objects stored in external storage or in the form of links, so users don't have to bother rebuilding the application when they want to add other objects","PeriodicalId":13567,"journal":{"name":"Infotek : Jurnal Informatika dan Teknologi","volume":"117 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74139574","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}
At SMK Negeri 1 Kismantoro, before this system was used, it used to only use manual or subjective methods, meaning that teachers still chose students directly. The selection of outstanding students must really be used as a reference for the following year to ensure increased academic success. This competition is held every year. SMK Negeri 1 Kismantoro sends a team every year to advance in this competition. Decision support systems can be made using several methods, one of which is the Moora and Gain Ratio method. This support system can assist in making decisions in selecting outstanding students for the SMK Negeri 1 Kismantoro competition. Operation of the Moore method consists of giving weight to each criterion. The Increment Ratio method is carried out to find the criteria used in the moora method, namely with the highest value having 4 of the highest, namely the card criteria is directly proportional to the gain of (0.44644), practice with a gain of (0.88129), attitude (personality) with the advantage (0.44644), skills with advantage (0.42836). The Moora method can choose alternatives and rank them to make the best student recommendations based on predetermined criteria where the Lutfiyatul Rosida alternative (A10) is the student with the best performance with Yi-Max = 0.165.
在SMK Negeri 1 Kismantoro，在使用该系统之前，它只使用手动或主观方法，这意味着教师仍然直接选择学生。选出的优秀学生必须真正用作下一年的参考，以确保取得更大的学业成功。这项比赛每年举行一次。SMK Negeri 1 Kismantoro每年都派出一支队伍参加这项比赛。决策支持系统可以使用几种方法，其中一种是摩尔增益比方法。这个支持系统可以帮助做出决定，选择优秀的学生参加SMK Negeri 1 Kismantoro比赛。摩尔法的操作包括对每个准则赋予权重。采用增量比法求出摩尔法中使用的标准，即最大值有4个最大值，即卡牌标准与增益成正比(0.44644)，练习增益为(0.88129)，态度(个性)优势为(0.44644)，技能优势为(0.42836)。Moora方法可以根据预先确定的标准选择备选方案并对其进行排序，以做出最佳的学生推荐，其中Lutfiyatul Rosida备选方案(A10)是表现最佳的学生，其Yi-Max = 0.165。
{"title":"Perancangan Sistem Pendukung Keputusan Pemilihan Peserta LKS Dengan Kombinasi Metode Gain Ratio Dan Moora","authors":"Agung Saputro, Vihi Atina, Rudi Susanto","doi":"10.29408/jit.v6i2.12570","DOIUrl":"https://doi.org/10.29408/jit.v6i2.12570","url":null,"abstract":"At SMK Negeri 1 Kismantoro, before this system was used, it used to only use manual or subjective methods, meaning that teachers still chose students directly. The selection of outstanding students must really be used as a reference for the following year to ensure increased academic success. This competition is held every year. SMK Negeri 1 Kismantoro sends a team every year to advance in this competition. Decision support systems can be made using several methods, one of which is the Moora and Gain Ratio method. This support system can assist in making decisions in selecting outstanding students for the SMK Negeri 1 Kismantoro competition. Operation of the Moore method consists of giving weight to each criterion. The Increment Ratio method is carried out to find the criteria used in the moora method, namely with the highest value having 4 of the highest, namely the card criteria is directly proportional to the gain of (0.44644), practice with a gain of (0.88129), attitude (personality) with the advantage (0.44644), skills with advantage (0.42836). The Moora method can choose alternatives and rank them to make the best student recommendations based on predetermined criteria where the Lutfiyatul Rosida alternative (A10) is the student with the best performance with Yi-Max = 0.165.","PeriodicalId":13567,"journal":{"name":"Infotek : Jurnal Informatika dan Teknologi","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85011602","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}
Muh. Adrian Juniarta Hidayat, Hadian Mandala Putra
The increase in online-based services makes a security system for server computers increasingly needed. A server computer is a device that must always be available to be accessed anytime and anywhere. Some of the security systems needed for server computers include security for ssh port access for remote server access needs and a security system to protect servers from Denial of Service (DoS) attacks which can make the server down and completely inaccessible. In this study, a security system is proposed for a server computer with the Linux CentOS operating system on a port 22 secure shell(ssh) access system using the port knock method and a security system to prevent Denial of Service (DoS) attacks on server computers using the RST Cookies method. The simulation results from the port 22 Secure Shell (SSH) access experiment for the server computer can work well where port 22 Secure Shell(SSH) will remain closed and cannot be accessed carelessly except by accessing several ports first according to predefined port knocking rules. Likewise, the implementation of a security system with the RST Cookies method works very well to prevent Denial of Service (DoS) attacks and can still keep the server accessible with a good response time of under 1 ms
{"title":"Sistem Keamanan Server Linux CentOS Dengan Metode Port Knock dan RST Cookies","authors":"Muh. Adrian Juniarta Hidayat, Hadian Mandala Putra","doi":"10.29408/jit.v6i2.17500","DOIUrl":"https://doi.org/10.29408/jit.v6i2.17500","url":null,"abstract":"The increase in online-based services makes a security system for server computers increasingly needed. A server computer is a device that must always be available to be accessed anytime and anywhere. Some of the security systems needed for server computers include security for ssh port access for remote server access needs and a security system to protect servers from Denial of Service (DoS) attacks which can make the server down and completely inaccessible. In this study, a security system is proposed for a server computer with the Linux CentOS operating system on a port 22 secure shell(ssh) access system using the port knock method and a security system to prevent Denial of Service (DoS) attacks on server computers using the RST Cookies method. The simulation results from the port 22 Secure Shell (SSH) access experiment for the server computer can work well where port 22 Secure Shell(SSH) will remain closed and cannot be accessed carelessly except by accessing several ports first according to predefined port knocking rules. Likewise, the implementation of a security system with the RST Cookies method works very well to prevent Denial of Service (DoS) attacks and can still keep the server accessible with a good response time of under 1 ms","PeriodicalId":13567,"journal":{"name":"Infotek : Jurnal Informatika dan Teknologi","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86829957","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}
Aldi Wahyudi Arta, Vihi Atina, Nugroho Arif Sudibyo
CV. Karisma Alam is one of the largest natural cutting industries in the Candirejo area. The best supplier is one of the most important factors in production activities at this company, because it will produce good output too. Due to the large number of suppliers in this region, it is difficult for entrepreneurs to determine which supplier is the best according to the output to be produced. In the decision-making process for selecting natural stone suppliers, it is still done manually, so production activities take a long time. This decision support system assists in the decision-making process in selecting natural stone raw material suppliers at CV. Karisma Alam. In this decision support system, criteria are needed to determine the best supplier. In this study the authors used the MOORA (Multi-objective Optimization on The Basic Of Ratio Analysis) method as a decision-making method. The method used in the preparation and design uses PHP (Hypertext Preprocessor). In this study it was produced that alternative A6 was the highest alternative with a value of 0.0031. This proves that decision support systems can help and be applied to CV. Karisma Alam in selecting the best supplier.
{"title":"Pemodelan Sistem Pendukung Keputusan Pemilihan Supplier Batu Alam Dengan Algoritma Moora Pada Cv. Karisma Alam","authors":"Aldi Wahyudi Arta, Vihi Atina, Nugroho Arif Sudibyo","doi":"10.29408/jit.v6i2.12568","DOIUrl":"https://doi.org/10.29408/jit.v6i2.12568","url":null,"abstract":"CV. Karisma Alam is one of the largest natural cutting industries in the Candirejo area. The best supplier is one of the most important factors in production activities at this company, because it will produce good output too. Due to the large number of suppliers in this region, it is difficult for entrepreneurs to determine which supplier is the best according to the output to be produced. In the decision-making process for selecting natural stone suppliers, it is still done manually, so production activities take a long time. This decision support system assists in the decision-making process in selecting natural stone raw material suppliers at CV. Karisma Alam. In this decision support system, criteria are needed to determine the best supplier. In this study the authors used the MOORA (Multi-objective Optimization on The Basic Of Ratio Analysis) method as a decision-making method. The method used in the preparation and design uses PHP (Hypertext Preprocessor). In this study it was produced that alternative A6 was the highest alternative with a value of 0.0031. This proves that decision support systems can help and be applied to CV. Karisma Alam in selecting the best supplier.","PeriodicalId":13567,"journal":{"name":"Infotek : Jurnal Informatika dan Teknologi","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83428895","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}
Since ancient times, Indonesia has always been rich in agricultural products such as rice, soybeans, corn, peanuts, cassava, and sweet potatoes. In addition, there are also products from agriculture that are referred to as trade crop agricultural products, namely tea, coffee, coconut, quinine, cloves, sugar cane, rubber, and others. The agricultural sector in 2021 will grow by 1.84% and contribute 13.28% to the national economy. Then in 2022, the agricultural sector will show consistency with a positive growth of 1.37% and contribute 12.98% to the national economy. Then it is necessary to group the productivity of agricultural products using the k-means clustering method to group data on the highest and lowest yield types according to the District in Bojonegoro so that the types of agricultural products that are most productive and less productive can be identified. The method used in this study is K-Means cluster analysis by first determining the number of groups to be formed. In this study, the data used is secondary data on agricultural products originating from One Bojonegoro Data. The food crops in question are rice, shallots, soybeans, large chilies, corn, and so on. From the results of grouping agricultural products based on the year of production, the best types of crops will be known, and which districts will produce the most productive food crops so that the distribution of food crops in Bojonegoro District can be controlled. Productivity grouping of agricultural products can be used as a strategy to increase agricultural yields
{"title":"Penerapan Pengelompokkan Produktivitas Hasil Pertanian Menggunakan Algoritma K-Means","authors":"P. Trisnawati, Ade Irma Purnamasari","doi":"10.29408/jit.v6i2.10198","DOIUrl":"https://doi.org/10.29408/jit.v6i2.10198","url":null,"abstract":"Since ancient times, Indonesia has always been rich in agricultural products such as rice, soybeans, corn, peanuts, cassava, and sweet potatoes. In addition, there are also products from agriculture that are referred to as trade crop agricultural products, namely tea, coffee, coconut, quinine, cloves, sugar cane, rubber, and others. The agricultural sector in 2021 will grow by 1.84% and contribute 13.28% to the national economy. Then in 2022, the agricultural sector will show consistency with a positive growth of 1.37% and contribute 12.98% to the national economy. Then it is necessary to group the productivity of agricultural products using the k-means clustering method to group data on the highest and lowest yield types according to the District in Bojonegoro so that the types of agricultural products that are most productive and less productive can be identified. The method used in this study is K-Means cluster analysis by first determining the number of groups to be formed. In this study, the data used is secondary data on agricultural products originating from One Bojonegoro Data. The food crops in question are rice, shallots, soybeans, large chilies, corn, and so on. From the results of grouping agricultural products based on the year of production, the best types of crops will be known, and which districts will produce the most productive food crops so that the distribution of food crops in Bojonegoro District can be controlled. Productivity grouping of agricultural products can be used as a strategy to increase agricultural yields","PeriodicalId":13567,"journal":{"name":"Infotek : Jurnal Informatika dan Teknologi","volume":"103 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78449531","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}
Dyspepsia is a digestive disorder that causes discomfort or pain in the stomach. In expert systems, the forward chaining method is used to diagnose this disease. This method evaluates the facts or symptoms obtained from the patient, then determines the appropriate diagnosis. The application of the forward chaining method in an expert system allows for an efficient and systematic evaluation of patient symptoms, so that patients can make their own detections and can make further decisions so that their disease can be treated immediately. This technology-based approach enhances the diagnostic process and facilitates rapid intervention. The expert system developed to diagnose dyspepsia has been successfully implemented using knowledge that includes 21 symptoms and 3 types of related diseases. System validation was carried out by testing 30 data samples, and the results showed that the system has an accuracy rate of up to 90% in correctly identifying and diagnosing dyspepsia. This shows that the expert system has a high level of expertise in analyzing the symptoms presented and providing a reliable diagnosis
{"title":"Rancang Bangun Sistem Pakar Untuk Mendiagnosa Penyakit Dispepsia Dengan Metode Forward Chaining","authors":"Y. Istiqomah, Joni Maulindar, Dwi Hartanti","doi":"10.29408/jit.v6i2.17438","DOIUrl":"https://doi.org/10.29408/jit.v6i2.17438","url":null,"abstract":"Dyspepsia is a digestive disorder that causes discomfort or pain in the stomach. In expert systems, the forward chaining method is used to diagnose this disease. This method evaluates the facts or symptoms obtained from the patient, then determines the appropriate diagnosis. The application of the forward chaining method in an expert system allows for an efficient and systematic evaluation of patient symptoms, so that patients can make their own detections and can make further decisions so that their disease can be treated immediately. This technology-based approach enhances the diagnostic process and facilitates rapid intervention. The expert system developed to diagnose dyspepsia has been successfully implemented using knowledge that includes 21 symptoms and 3 types of related diseases. System validation was carried out by testing 30 data samples, and the results showed that the system has an accuracy rate of up to 90% in correctly identifying and diagnosing dyspepsia. This shows that the expert system has a high level of expertise in analyzing the symptoms presented and providing a reliable diagnosis","PeriodicalId":13567,"journal":{"name":"Infotek : Jurnal Informatika dan Teknologi","volume":"56 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81625289","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}
Indications of a decrease in the level of public awareness about protecting the environment have a direct effect on the urgent need for integrated environmental planning and management, so that the impact affects other aspects, such as the physical and socio-economic environment. The fact is that environmental damage is closely related to poverty and economic growth. In maintaining community environmental health and implementing the Sustainable Development Goals Program in East Lombok Regency, West Nusa Tenggara. Hamzanwadi University is working with the East Lombok Regency government to conduct sampling of the community with a total data of 4624 residents in ten sub-districts in the East Lombok Regency area. The purpose of this study is to help predict the level of public environmental health in the East Lombok region, the data will be classified and then processed using the Naïve Bayes algorithm with the multinomial naïve Bayes method. The results of testing the naïve Bayes algorithm after splitting the data five times, the best results were obtained, with the dataset divided by 20% testing data and 80% training data, an prediction value of 93.28% was obtained. The population environment in ten sub-districts in East Lombok Regency was classified as healthy
{"title":"Prediksi Tingkat Kesehatan Lingkungan Masyarakat Dalam Program Sustainable Development Goals Menggunakan Algoritma Naive Bayes","authors":"Zulkipli Zulkipli, K. Kusrini, S. Sudarmawan","doi":"10.29408/jit.v6i2.18776","DOIUrl":"https://doi.org/10.29408/jit.v6i2.18776","url":null,"abstract":"Indications of a decrease in the level of public awareness about protecting the environment have a direct effect on the urgent need for integrated environmental planning and management, so that the impact affects other aspects, such as the physical and socio-economic environment. The fact is that environmental damage is closely related to poverty and economic growth. In maintaining community environmental health and implementing the Sustainable Development Goals Program in East Lombok Regency, West Nusa Tenggara. Hamzanwadi University is working with the East Lombok Regency government to conduct sampling of the community with a total data of 4624 residents in ten sub-districts in the East Lombok Regency area. The purpose of this study is to help predict the level of public environmental health in the East Lombok region, the data will be classified and then processed using the Naïve Bayes algorithm with the multinomial naïve Bayes method. The results of testing the naïve Bayes algorithm after splitting the data five times, the best results were obtained, with the dataset divided by 20% testing data and 80% training data, an prediction value of 93.28% was obtained. The population environment in ten sub-districts in East Lombok Regency was classified as healthy","PeriodicalId":13567,"journal":{"name":"Infotek : Jurnal Informatika dan Teknologi","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84372847","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}
Cooperatives are social organizations or economic bodies that have a very important role in the growth, development of economic potential and community success. One of the cooperative activities is the provision of credit or loans to community members. Cooperative credit is one of the most important banking activities and serves to provide credit to the community. In practice, errors often arise due to inaccurate credit analysis, or the behavior of the customers themselves. The purpose of this research is to compare the accuracy results between the Naive Bayes algorithm and Support Vector Machine (SVM), where the best accuracy results can later be used as a reference to determine the profitability of lending. The attributes used in this study consist of 11 attributes, namely: Gender, marital status, occupation, relatives, nominal income, income criteria, loan amount, loan term, interest rate, installments and class as income characteristics. The dataset used in this study includes 166 members of the Daru Nahdla Capita Shari'ah cooperative. The results of testing the naive bayes algorithm after dividing the data five times, dividing the data set 70% as test data and 30% as training data, obtained a precision value of 97.00%, recall 100.00%, F1 score 99.00%. and accuracy 98.00%. Thus, the Naive Bayesian algorithm is an algorithm that shows accurate classification and prediction
{"title":"Komparasi Algoritma Naïve Bayes Dan Support Vector Machine (SVM) Untuk Klasifikasi Kelayakan Pemberian Pinjaman","authors":"Amir Bagja, K. Kusrini, M. Arief","doi":"10.29408/jit.v6i2.20059","DOIUrl":"https://doi.org/10.29408/jit.v6i2.20059","url":null,"abstract":"Cooperatives are social organizations or economic bodies that have a very important role in the growth, development of economic potential and community success. One of the cooperative activities is the provision of credit or loans to community members. Cooperative credit is one of the most important banking activities and serves to provide credit to the community. In practice, errors often arise due to inaccurate credit analysis, or the behavior of the customers themselves. The purpose of this research is to compare the accuracy results between the Naive Bayes algorithm and Support Vector Machine (SVM), where the best accuracy results can later be used as a reference to determine the profitability of lending. The attributes used in this study consist of 11 attributes, namely: Gender, marital status, occupation, relatives, nominal income, income criteria, loan amount, loan term, interest rate, installments and class as income characteristics. The dataset used in this study includes 166 members of the Daru Nahdla Capita Shari'ah cooperative. The results of testing the naive bayes algorithm after dividing the data five times, dividing the data set 70% as test data and 30% as training data, obtained a precision value of 97.00%, recall 100.00%, F1 score 99.00%. and accuracy 98.00%. Thus, the Naive Bayesian algorithm is an algorithm that shows accurate classification and prediction","PeriodicalId":13567,"journal":{"name":"Infotek : Jurnal Informatika dan Teknologi","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88825295","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}
Baiq Andriska Candra Permana, Muhammad Djamaluddin
Lung cancer is one of the groups of cancer that causes the most deaths, including in Indonesia. Many people with lung cancer do not realize that they are infected with lung cancer, which causes delays in treating this disease. For this reason, it is necessary to have a method that has a good level of accuracy in making a prediction so that later with a good level of accuracy it can be a reference for the development of an Artificial Intelligence (AI) in the world of health to detect lung cancer early. The proposed study uses the c4.5 algorithm to predict the likelihood of patients with lung cancer by providing the final result in the form of the prediction accuracy of the proposed algorithm. To carry out data mining implementation using the Python programming language by utilizing the library that has been provided to make it easier to implement machine learning. In this study the use of c4.5 was able to predict with an accuracy rate of 86%. This level of accuracy can be said to be worthy of being used as a reference to be able to predict lung cancer patients based on the symptoms that appear in the patient
{"title":"Penerapan Python Dalam Data Mining Untuk Prediksi Kangker Paru","authors":"Baiq Andriska Candra Permana, Muhammad Djamaluddin","doi":"10.29408/jit.v6i2.17816","DOIUrl":"https://doi.org/10.29408/jit.v6i2.17816","url":null,"abstract":"Lung cancer is one of the groups of cancer that causes the most deaths, including in Indonesia. Many people with lung cancer do not realize that they are infected with lung cancer, which causes delays in treating this disease. For this reason, it is necessary to have a method that has a good level of accuracy in making a prediction so that later with a good level of accuracy it can be a reference for the development of an Artificial Intelligence (AI) in the world of health to detect lung cancer early. The proposed study uses the c4.5 algorithm to predict the likelihood of patients with lung cancer by providing the final result in the form of the prediction accuracy of the proposed algorithm. To carry out data mining implementation using the Python programming language by utilizing the library that has been provided to make it easier to implement machine learning. In this study the use of c4.5 was able to predict with an accuracy rate of 86%. This level of accuracy can be said to be worthy of being used as a reference to be able to predict lung cancer patients based on the symptoms that appear in the patient","PeriodicalId":13567,"journal":{"name":"Infotek : Jurnal Informatika dan Teknologi","volume":"63 2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76690257","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}
The web-based document archiving information system is an information system that is useful for managing archive storage where the information system created will assist in the process of storing and managing documents. Dr. Hazairin in order to improve the quality of the document archiving process, a web-based document archiving information system was designed, in order to avoid damage and also reduce the storage space for archives and the process of searching for archives can be done anywhere. The document archiving information system was created using the codeinether framework while the method stages carried out in this research process started from field studies, literature studies, interviews, system design and software where at this stage the database design system was used using MySQL, then system implementation and testing and the final stage is system integration and testing. After system integration and testing, the system can be applied to universities where access rights to the system will be divided into 7 parts, namely rectorate access requirements, faculty access requirements, institutional access requirements, bureau access requirements, study program access requirements, unit access requirements, and access requirements super admin
{"title":"Penerapan Sistem Informasi Berbasis Web Untuk Pengelolaan dan Pengarsipan Dokumen","authors":"Reni Kurniah","doi":"10.29408/jit.v6i2.11946","DOIUrl":"https://doi.org/10.29408/jit.v6i2.11946","url":null,"abstract":"The web-based document archiving information system is an information system that is useful for managing archive storage where the information system created will assist in the process of storing and managing documents. Dr. Hazairin in order to improve the quality of the document archiving process, a web-based document archiving information system was designed, in order to avoid damage and also reduce the storage space for archives and the process of searching for archives can be done anywhere. The document archiving information system was created using the codeinether framework while the method stages carried out in this research process started from field studies, literature studies, interviews, system design and software where at this stage the database design system was used using MySQL, then system implementation and testing and the final stage is system integration and testing. After system integration and testing, the system can be applied to universities where access rights to the system will be divided into 7 parts, namely rectorate access requirements, faculty access requirements, institutional access requirements, bureau access requirements, study program access requirements, unit access requirements, and access requirements super admin","PeriodicalId":13567,"journal":{"name":"Infotek : Jurnal Informatika dan Teknologi","volume":"148 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88663173","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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