Jurnal Komtika (Komputasi dan Informatika)最新文献_第5页

Analisis Sentimen Pada Situs Google Review dengan Naïve Bayes dan Support Vector Machine

Jurnal Komtika (Komputasi dan Informatika) Pub Date : 2021-11-28 DOI: 10.31603/komtika.v5i2.6280

Herlawati Herlawati, Rahmadya Trias Handayanto, Prima Dina Atika, Fata Nidaul Khasanah, Ajif Yunizar Pratama Yusuf, Dwi Yoga Septia

{"title":"Analisis Sentimen Pada Situs Google Review dengan Naïve Bayes dan Support Vector Machine","authors":"Herlawati Herlawati, Rahmadya Trias Handayanto, Prima Dina Atika, Fata Nidaul Khasanah, Ajif Yunizar Pratama Yusuf, Dwi Yoga Septia","doi":"10.31603/komtika.v5i2.6280","DOIUrl":"https://doi.org/10.31603/komtika.v5i2.6280","url":null,"abstract":"\u0000 \u0000 \u0000 \u0000 Tourism is the sources of income which is influenced by customer satisfaction. One way to know customer satisfaction is feedback, one of which is a review using an application. One of the feedback applications is Google Review. Such applications are have been widely used, for example in this study in this case study, Summarecon Mal Bekasi, can reach 60,000 comments. To find out the sentiment of the large number of comments, it is necessary to use computational tools. The current research applies sentiment analysis using the Naïve Bayes method and the Support Vector Machine. Data retrieval is done by web scrapping technique. Furthermore, the comment data is processed by pre-processing and labelling using the Lexicon dictionary. The process of applying sentiment analysis is carried out to determine whether the comments are positive or negative. In this study, the accuracy of the Naïve Bayes and Support Vector Machine methods in conducting sentiment analysis on the Summarecon Mal Bekasi review with a data of 2,143 comments with an accuracy for Naïve Bayes and Support Vector Machine 80.95% and 100% respectively. A Jason-style application is built to show the implementation in Flask framework. \u0000 \u0000 \u0000 \u0000 \u0000 \u0000Keywords: \u0000 \u0000 \u0000 \u0000","PeriodicalId":292404,"journal":{"name":"Jurnal Komtika (Komputasi dan Informatika)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122240998","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}

引用次数: 4

Prediction of University Student Performance Based on Tracer Study Dataset Using Artificial Neural Network 基于示踪学习数据集的人工神经网络大学生成绩预测

Jurnal Komtika (Komputasi dan Informatika) Pub Date : 2021-11-28 DOI: 10.31603/komtika.v5i2.5901

Zahrina Aulia Adriani, Irma Palupi

{"title":"Prediction of University Student Performance Based on Tracer Study Dataset Using Artificial Neural Network","authors":"Zahrina Aulia Adriani, Irma Palupi","doi":"10.31603/komtika.v5i2.5901","DOIUrl":"https://doi.org/10.31603/komtika.v5i2.5901","url":null,"abstract":"In order to increase student performance, several universities use machine learning to analyze and evaluate their data so that it enables to improve the quality of education in the university. To get a new insight from the tracer study dataset as the relevance between university performance and student capability with business and industries work, the author will develop a model to predict student performance based on the tracer study dataset using Artificial Neural Network (ANN). For obtaining attributes that correspond to labels, Phi Coefficient Correlation will be used to select the attributes with high correlation as Feature Selection. The author is also performing the oversampling method using Synthetic Minority Oversampling Technique (SMOTE) because this dataset is imbalanced and evaluates the model using K-Fold Cross-Validation. According to K-Fold Cross Validation, the result shows that K = 3 has a low standard deviation of evaluation score and it's the best candidate of K to split the dataset. The average standard deviation is 0.038 for all score evaluations (Accuracy, Precision, Recall, and F-1 Score). After applied SMOTE to treating the imbalanced dataset with the data splitting 65 training data and 35 testing data, the accuracy value increases by 10% from 0.77 to 0.87.","PeriodicalId":292404,"journal":{"name":"Jurnal Komtika (Komputasi dan Informatika)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127117330","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}

引用次数: 0

Implementasi Metode Forward Chaining, Certainty Factor dan Dempster Shafer pada Sistem Pakar Diagnosis Penyakit Gigi dan Mulut

Jurnal Komtika (Komputasi dan Informatika) Pub Date : 2021-11-28 DOI: 10.31603/komtika.v5i2.5995

S. Nurajizah, Ita Yulianti, Elin Panca Saputra, Rani Kurnia Dewi

{"title":"Implementasi Metode Forward Chaining, Certainty Factor dan Dempster Shafer pada Sistem Pakar Diagnosis Penyakit Gigi dan Mulut","authors":"S. Nurajizah, Ita Yulianti, Elin Panca Saputra, Rani Kurnia Dewi","doi":"10.31603/komtika.v5i2.5995","DOIUrl":"https://doi.org/10.31603/komtika.v5i2.5995","url":null,"abstract":"\u0000 \u0000 \u0000 \u0000Dental and oral disease is one of the diseases that has been felt by most of the people. Insufficient information and the limited level of public awareness of the prevention of dental and oral diseases make the impact quite dangerous if not handled properly. An appropriate information system is needed in overcoming and providing solutions for handling a disease as early as possible. Expert systems can be used as a means of information on the treatment of dental and oral diseases. The manufacture of the expert system in this study initially used the forward chaining method, which is a method that searches based on information that is made into a set of rules so as to get a conclusion. However, after re-analysis, two other methods, namely certainty factor and dempster shafer, were also applied in this study with the aim of overcoming the shortcomings of the forward chaining method, one of which is uncertainty in producing a conclusion or diagnosis of disease. Determining the type of dental and oral disease can be known by looking at the symptoms experienced by the patient. The use of an expert system for diagnosing dental and oral diseases can be used as an initial solution in helping someone to treat the disease. The existence of this expert system can be used as consideration in making decisions to determine the type of dental and oral disease quickly, precisely and accurately. \u0000 \u0000 \u0000 \u0000","PeriodicalId":292404,"journal":{"name":"Jurnal Komtika (Komputasi dan Informatika)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114568279","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}

引用次数: 1

Analisis Sentimen Twitter Kuliah Online Pasca Covid-19 Menggunakan Algoritma Support Vector Machine dan Naive Bayes

Jurnal Komtika (Komputasi dan Informatika) Pub Date : 2021-07-15 DOI: 10.31603/KOMTIKA.V5I1.5189

H. Setiawan, Ema Utami, Sudarmawan Sudarmawan

引用次数: 7

Analisis Keamanan Sistem Informasi Menggunakan Sudomy dan OWASP ZAP di Universitas Duta Bangsa Surakarta 信息系统安全分析使用Sudomy和OWASP ZAP在日惹大使大学进行

Jurnal Komtika (Komputasi dan Informatika) Pub Date : 2021-07-15 DOI: 10.31603/komtika.v5i1.5134

Dedy Hariyadi, Faulinda Ely Nastiti

引用次数: 8

Sentimen Analisis Terhadap Aplikasi pada Google Playstore Menggunakan Algoritma Naïve Bayes dan Algoritma Genetika

Jurnal Komtika (Komputasi dan Informatika) Pub Date : 2021-07-15 DOI: 10.31603/komtika.v5i1.5188

Arif Rahman, Ema Utami, S. Sudarmawan

引用次数: 1

Prediksi Perubahan Penggunaan Lahan dan Pola Berdasarkan Citra Landsat Multi Waktu dengan Land Change Modeler (LCM) 根据土地使用和模式的多陆地卫星图像(LCM)对土地使用和模式的预测

Jurnal Komtika (Komputasi dan Informatika) Pub Date : 2021-07-15 DOI: 10.31603/komtika.v5i1.5139

Herlawati Herlawati, Fata Nidaul Khasanah, Prima Dina Atika, Rafika Sari, Rahmadya Trias Handayanto

引用次数: 2

Komparasi Algoritma Naive Bayes dan K-Nearest Neighbor untuk Membangun Pengetahuan Diagnosa Penyakit Diabetes 模拟算法幼稚的Bayes和K-Nearest邻居建立对糖尿病诊断的知识

Jurnal Komtika (Komputasi dan Informatika) Pub Date : 2021-07-15 DOI: 10.31603/KOMTIKA.V5I1.5140

Maulidya Dwi Nurmalasari, K. Kusrini, S. Sudarmawan

引用次数: 3

Implementasi Aplikasi Monitoring Nilai dan Kegiatan Siswa Berbasis Android dengan Metode Prototype 采用Android模型模型应用程序监测值和活动

Jurnal Komtika (Komputasi dan Informatika) Pub Date : 2021-07-15 DOI: 10.31603/KOMTIKA.V5I1.5119

Fransiskus Panca Juniawan, Dwi Yuny Sylfania, Rendy Rian Chrisna Putra, Rahmat Sulaiman

{"title":"Implementasi Aplikasi Monitoring Nilai dan Kegiatan Siswa Berbasis Android dengan Metode Prototype","authors":"Fransiskus Panca Juniawan, Dwi Yuny Sylfania, Rendy Rian Chrisna Putra, Rahmat Sulaiman","doi":"10.31603/KOMTIKA.V5I1.5119","DOIUrl":"https://doi.org/10.31603/KOMTIKA.V5I1.5119","url":null,"abstract":"The number of smartphone and internet users in Indonesia is currently very large. This is become the basis for the use and development of mobile-based applications for the advantage of education. However, not all High Schools in Indonesia have a mobile-based system. Another problem is that most of them still use conventional methods in implementing teaching and learning activities, and reporting learning outcomes to parents. This is also still the case at SMA Negeri 1 Pangkalanbaru, Bangka Tengah. This problem is what we want to raise and solve by developing applications that can solve these problems. The research was developed using the Prototype method which consists of stages of Data Collection, Rapid Planning, Prototype Design, and Prototype Testing. By using the UML tool, results are obtained in the form of parents who can monitor grades, school information, and school announcements. In addition, students can take attendance online, register for extracurricular activities, and view announcements. From the testing results it is known that the system performance is running well as it should.","PeriodicalId":292404,"journal":{"name":"Jurnal Komtika (Komputasi dan Informatika)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123715723","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}

引用次数: 3

Identifikasi Penyakit Tanaman Ubi Kayu Berdasarkan Citra Daun Menggunakan Metode Probabilistic Neural Network (PNN) 利用PNN (PNN)的植物神经毒菌网络(PNN)的形象来识别凤梨科植物的疾病

Jurnal Komtika (Komputasi dan Informatika) Pub Date : 2021-07-15 DOI: 10.31603/komtika.v5i1.4605

Yuslena Sari, Muhammad Alkaff, M. Arif Rahman

引用次数: 1