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IMPLEMENTATION OF ARTIFICIAL NEURAL NETWORK WITH BACKPROPAGATION ALGORITHM FOR RATING CLASSIFICATION ON SALES OF BLACKMORES IN TOKOPEDIA 基于反向传播算法的人工神经网络在tokopedia黑摩尔销售评级分类中的实现
Jurnal Sarjana Teknik Informatika Pub Date : 2023-03-23 DOI: 10.52436/1.jutif.2023.4.2.539
Dalfa Habibah Nurul Aini, Dian Kurniasari, Aang Nuryaman, Mustofa Usman
{"title":"IMPLEMENTATION OF ARTIFICIAL NEURAL NETWORK WITH BACKPROPAGATION ALGORITHM FOR RATING CLASSIFICATION ON SALES OF BLACKMORES IN TOKOPEDIA","authors":"Dalfa Habibah Nurul Aini, Dian Kurniasari, Aang Nuryaman, Mustofa Usman","doi":"10.52436/1.jutif.2023.4.2.539","DOIUrl":"https://doi.org/10.52436/1.jutif.2023.4.2.539","url":null,"abstract":"The rating assessment classification contains feedback from consumers, which is given in the form of stars which aims to assess a product. However, the amount of data in the classification process often have differences in each class or is called an imbalanced dataset. These problems can affect the classification results. An imbalanced dataset can be overcome by applying random oversampling. To classify the rating assessment, this study proposes the Neural network method, which has a good accuracy level with the backpropagation algorithm and applies random oversampling to overcome the unbalanced amount of data. The results indicate that the neural network method with the backpropagation algorithm can classify the available data with an accuracy level of 85%. The application of resampling data using random oversampling and determining the amount of distribution of training data, testing data, number of epochs and the correct number of batch sizes affect the results obtained.","PeriodicalId":52586,"journal":{"name":"Jurnal Sarjana Teknik Informatika","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136173827","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
Pengembangan User Interface Aplikasi Promosi Umkm Kelurahan Bukit Duri Melalui Pendekatan User Experience Dengan Metode Lean Ux Yang Berbasis Android 使用基于Android的Ux Lean方法开发用户界面应用程序促进Umkm减少困难Bukit通过接近用户体验
Jurnal Sarjana Teknik Informatika Pub Date : 2023-02-28 DOI: 10.12928/jstie.v11i1.25793
Muhammad Adryan Hartono, Hamidillah Ajie, Murien Nugraheni
{"title":"Pengembangan User Interface Aplikasi Promosi Umkm Kelurahan Bukit Duri Melalui Pendekatan User Experience Dengan Metode Lean Ux Yang Berbasis Android","authors":"Muhammad Adryan Hartono, Hamidillah Ajie, Murien Nugraheni","doi":"10.12928/jstie.v11i1.25793","DOIUrl":"https://doi.org/10.12928/jstie.v11i1.25793","url":null,"abstract":"","PeriodicalId":52586,"journal":{"name":"Jurnal Sarjana Teknik Informatika","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66277761","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
Systematic Literature Review Efektifitas Penggunaan Microsoft Teams Terhadap Hasil Pembelajaran Daring 系统文献综述微软团队对抗血液学习结果的有效性
Jurnal Sarjana Teknik Informatika Pub Date : 2023-02-28 DOI: 10.12928/jstie.v11i1.25746
Apriadi Noor, Joy Nashar Utamajaya
{"title":"Systematic Literature Review Efektifitas Penggunaan Microsoft Teams Terhadap Hasil Pembelajaran Daring","authors":"Apriadi Noor, Joy Nashar Utamajaya","doi":"10.12928/jstie.v11i1.25746","DOIUrl":"https://doi.org/10.12928/jstie.v11i1.25746","url":null,"abstract":"","PeriodicalId":52586,"journal":{"name":"Jurnal Sarjana Teknik Informatika","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49550290","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
Analisa Forensik Citra Menggunakan Metode Error Level Analysis dan Block Matching 基于误差水平分析和块匹配的法医图像分析
Jurnal Sarjana Teknik Informatika Pub Date : 2023-02-28 DOI: 10.12928/jstie.v11i1.25714
Iis Sudianto, Nuril Anwar
{"title":"Analisa Forensik Citra Menggunakan Metode Error Level Analysis dan Block Matching","authors":"Iis Sudianto, Nuril Anwar","doi":"10.12928/jstie.v11i1.25714","DOIUrl":"https://doi.org/10.12928/jstie.v11i1.25714","url":null,"abstract":"Perkembangan perangkat editing gambar saat ini membuat semua orang dapat memanipulasi gambar dengan mudah sehingga banyak gambar yang tersebar diragukan keasliannya. Saat ini, gambar dapat dijadikan barang bukti dalam kasus hukum di persidangan. Keaslian gambar menjadi topik yang banyak dicoba untuk dipecahkan dalam berbagai penelitian. Penelitian ini membahasa tentang analisa keaslian gambar menggunakan metode Error Level Analysis (ELA) untuk mengetahui keaslian gambar. Block Matching digunakan pada proses membagi gambar menjadi beberapa bagian persegi atau blok. Metode ELA berhasil diimplementasikan dengan kompresi pada gambar sebesar 95% menghasilkan nilai MSE dan PSNR dalam membedakan gambar yang telah diubah. MSE rata-rata adalah 23,8 dB dan PSNR rata-rata adalah 34,47 dB. Hasil Block Matching secara keseluruhan menujukkan nilai pixel untuk nilai x yang mencapai 30 terdapat 9 gambar, nilai x yang mencapai 24 terdapat 9 gambar, nilai x yang mencapai 23 terdapat 1 gambar, dan untuk nilai x yang mencapai 19 terdapat 1 gambar. Hasil pixel (y) seluruh gambar melebihi nilai 12 yang dimana pada nilai pixel (y) mengalami banyak perubahan dengan ditandai adanya bintik putih. Kata Kunci","PeriodicalId":52586,"journal":{"name":"Jurnal Sarjana Teknik Informatika","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46681130","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
Penerapan Metode TOPSIS dalam Sistem Pendukung Keputusan Pemilihan Bahan Baku Terbaik untuk Pembuatan Spring Bed (Studi Kasus : Bigland ByPass Padang) TOPSIS方法的应用在选择最佳原料制作春床的系统支持决策(案例研究:Bigland绕道场)
Jurnal Sarjana Teknik Informatika Pub Date : 2023-02-27 DOI: 10.12928/jstie.v11i1.25792
Fauzan Ramadhoni, Gushelmi Gushelmi, Liga Mayola
{"title":"Penerapan Metode TOPSIS dalam Sistem Pendukung Keputusan Pemilihan Bahan Baku Terbaik untuk Pembuatan Spring Bed (Studi Kasus : Bigland ByPass Padang)","authors":"Fauzan Ramadhoni, Gushelmi Gushelmi, Liga Mayola","doi":"10.12928/jstie.v11i1.25792","DOIUrl":"https://doi.org/10.12928/jstie.v11i1.25792","url":null,"abstract":"","PeriodicalId":52586,"journal":{"name":"Jurnal Sarjana Teknik Informatika","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43730744","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
Analisis dan Implementasi Usulan Perbaikan Website BIMAWA Universitas Ahmad Dahlan Dengan Metode Usability Testing dan Heuristic Evaluation Ahmad Dahlan BIMAWA大学网站修改工作的分析与实施方法可用性测试和启发式评估
Jurnal Sarjana Teknik Informatika Pub Date : 2023-02-15 DOI: 10.12928/jstie.v11i1.25815
Muhammad Ilham Fikri Azmi, Murein Miksa Mardhia, Nuril Anwar, Lucky Barga Aretama
{"title":"Analisis dan Implementasi Usulan Perbaikan Website BIMAWA Universitas Ahmad Dahlan Dengan Metode Usability Testing dan Heuristic Evaluation","authors":"Muhammad Ilham Fikri Azmi, Murein Miksa Mardhia, Nuril Anwar, Lucky Barga Aretama","doi":"10.12928/jstie.v11i1.25815","DOIUrl":"https://doi.org/10.12928/jstie.v11i1.25815","url":null,"abstract":"","PeriodicalId":52586,"journal":{"name":"Jurnal Sarjana Teknik Informatika","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43901548","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
Comparison of Support Vector Machines and K-Nearest Neighbor Algorithm Analysis of Spam Comments on Youtube Covid Omicron Youtube上垃圾评论的支持向量机与k -最近邻算法对比分析
Jurnal Sarjana Teknik Informatika Pub Date : 2022-12-23 DOI: 10.15408/jti.v15i2.24996
Sudianto Sudianto, Juan Arton Arton Masheli, Nursatio Nugroho, Rafi Wika Ananda Rumpoko, Zarkasih Akhmad
{"title":"Comparison of Support Vector Machines and K-Nearest Neighbor Algorithm Analysis of Spam Comments on Youtube Covid Omicron","authors":"Sudianto Sudianto, Juan Arton Arton Masheli, Nursatio Nugroho, Rafi Wika Ananda Rumpoko, Zarkasih Akhmad","doi":"10.15408/jti.v15i2.24996","DOIUrl":"https://doi.org/10.15408/jti.v15i2.24996","url":null,"abstract":"Every time a new variant of Coronavirus (Covid-19) appears, themedia or news platforms review it to find out whether the new variantis more dangerous or contagious than before. One of the media orplatforms that is fast in presenting news in videos is YouTube.YouTube is a social media that can upload videos, watch videos, andcomment on the video. The comment field on YouTube videos cannotbe separated from spam comments that annoy other users who want tofollow or participate in the comment column. Indication of spamcomments is still done by observing one by one; this is very inefficientand time-consuming. This study aims to create a model that canclassify spam on YouTube comments. The classification method uses the SVM (Support Vector Machines) algorithm and the KNN (K-Nearest Neighbor) algorithm to identify spam comments or not with comment data taken from Omicron's Covid-19 news video on national news channels. The classification results show that the SVM method is superior inaccuracy with the Linear SVC algorithm of 75.12%, SVC of 76.11%, and Nu-SVC of 77.11%. While the KNN algorithm with k=2 is 65.67%, k=4 is 64.51%, k=6 is 62.35%.","PeriodicalId":52586,"journal":{"name":"Jurnal Sarjana Teknik Informatika","volume":" 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72381607","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
Comparative Analysis of KNN, Naïve Bayes and SVM Algorithms for Movie Genres Classification Based on Synopsis. 基于剧情梗概的电影类型分类中KNN、Naïve贝叶斯和SVM算法的比较分析。
Jurnal Sarjana Teknik Informatika Pub Date : 2022-12-23 DOI: 10.15408/jti.v15i2.29302
Nurhayati Buslim, Lee Kyung Oh, Muhammad Hugo Athallah Hardy, Yusuf Wijaya
{"title":"Comparative Analysis of KNN, Naïve Bayes and SVM Algorithms for Movie Genres Classification Based on Synopsis.","authors":"Nurhayati Buslim, Lee Kyung Oh, Muhammad Hugo Athallah Hardy, Yusuf Wijaya","doi":"10.15408/jti.v15i2.29302","DOIUrl":"https://doi.org/10.15408/jti.v15i2.29302","url":null,"abstract":"Text classification is a process of categorizing a text into the correct label. Text classification in natural language processing is a challenging task that requires accuracy to get the correct results, manual text classification tends to be inefficient because it requires a lot of time and also experts. The utilization of machine learning for automatic text classification can be a solution to this problem. KNN, Naive Bayes, and SVM are known as some of the most algorithms to solve classification problems, especially text classification. In this study, we are trying to compare the KNN, Naive Bayes, and SVM algorithms for text classification with the problem of classifying movie genres based on a synopsis using datasets obtained from Kaggle.com and IMDB Dataset. The results of this study indicate that of the 12 experiments, Support Vector Machine (SVM) is the bestperforming algorithm with an accuracy of 90%, 93%, 65%, and 63%. It is hoped that this research can help to determine the best algorithm in the text classification process. ","PeriodicalId":52586,"journal":{"name":"Jurnal Sarjana Teknik Informatika","volume":"164 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72427267","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
The Development of Interactive Games for Covid-19 Prevention Using Indonesian Health Protocols 利用印度尼西亚卫生协议开发Covid-19预防互动游戏
Jurnal Sarjana Teknik Informatika Pub Date : 2022-12-23 DOI: 10.15408/jti.v15i2.25649
Arrahman Kaffi, M. Rizqi, G. Laksono, Alvin Julian, Agustinus Bimo Gumelar
{"title":"The Development of Interactive Games for Covid-19 Prevention Using Indonesian Health Protocols","authors":"Arrahman Kaffi, M. Rizqi, G. Laksono, Alvin Julian, Agustinus Bimo Gumelar","doi":"10.15408/jti.v15i2.25649","DOIUrl":"https://doi.org/10.15408/jti.v15i2.25649","url":null,"abstract":"COVID-19 has become a virus spreading quickly across the world.The government of Indonesia also immediately adjusted theconditions to minimize the spread of the COVID-19 virus byimplementing the health protocols 5M namely, wearing a mask,washing hands, keeping distance, avoiding crowds, and reducingmobility. With the advancement of technology, games can be used aseducational media to support users learning processes and increasetheir knowledge. Therefore, we conducted a study using the learningsupport media, namely interactive games based on a personalcomputer platform with the Windows operating system to help theusers understand the prevention of the COVID-19 virus byimplementing health protocols. This study proposes using a structurefor the iterative cycle process called the ADDIE model framework andusing the Unity game engine for its game development tools. Tomeasure the feasibility of interactive games as educational media, weuse the System Usability Scale method. Based on the applicationtesting of 50 respondents, interactive games get a score of 90 on a scalethat is acceptable. The results also indicate that interactive games aseducational media will improve the users learning process andmotivation about implementing the health protocols.","PeriodicalId":52586,"journal":{"name":"Jurnal Sarjana Teknik Informatika","volume":"60 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75174630","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
Sarcasm Recognition on News Headlines Using Multiple Channel Embedding Attention BLSTM 基于多通道嵌入注意力的新闻标题讽刺识别
Jurnal Sarjana Teknik Informatika Pub Date : 2022-12-23 DOI: 10.15408/jti.v15i2.28417
Azika Syahputra Azwar, Suharjito Suharjito
{"title":"Sarcasm Recognition on News Headlines Using Multiple Channel Embedding Attention BLSTM","authors":"Azika Syahputra Azwar, Suharjito Suharjito","doi":"10.15408/jti.v15i2.28417","DOIUrl":"https://doi.org/10.15408/jti.v15i2.28417","url":null,"abstract":"Sarcasm is a statement that conveys an opposing viewpoint via positive or exaggeratedly positive phrases. Due to this intentional ambiguity, sarcasm identification has become one of the important factors in sentiment analysis that make many researchers in natural language processing intensively study sarcasm detection. This research is using multiple channels embedding the attention bidirectional long-short memory (MCEA-BLSTM) model that explored sarcasm detection in news headlines and has different approach from previous research-developed models that lexical, semantic, and pragmatic properties. This research found that multiple channels embedding attention mechanism improve the performance of BLSTM, making it superior to other models. The proposed method achieves 96.64% accuracy with an f-measure of 97%","PeriodicalId":52586,"journal":{"name":"Jurnal Sarjana Teknik Informatika","volume":"21 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84402523","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
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