JURNAL TEKNIK INFORMATIKA最新文献_第3页

Diversity Balancing in Two-Stage Collaborative Filtering for Book Recommendation Systems 图书推荐系统两阶段协作过滤中的多样性平衡

JURNAL TEKNIK INFORMATIKA Pub Date : 2023-12-22 DOI: 10.15408/jti.v16i2.36580

Rifqi Fauzia Muttaqien, Dade Nurjanah, Hani Nurrahmi

{"title":"Diversity Balancing in Two-Stage Collaborative Filtering for Book Recommendation Systems","authors":"Rifqi Fauzia Muttaqien, Dade Nurjanah, Hani Nurrahmi","doi":"10.15408/jti.v16i2.36580","DOIUrl":"https://doi.org/10.15408/jti.v16i2.36580","url":null,"abstract":"A book recommender system is a system used to provide relevant book recommendations for readers. One approach that is often used in recommender systems is Collaborative Filtering (CF). CF provides book recommendations based on books liked by other similar users. However, CF only provides recommendations for items that are popular, so items that are less popular will be difficult to recommend. Therefore, we propose a book recommendation system based on Two-stages CF using the Diversity Balancing method. Diversity Balancing method in CF is used to balance diversity in the recommendation results by replacing popular items with less popular relevant items. System accuracy is measured using precision and recall, while diversity is measured using personal diversity and aggregate diversity. The test results show that the accuracy of the proposed system increases with the increasing number of recommended items. meanwhile, the diversity of recommended items continues to decrease as more items are included in the recommendation list. In consideration of the trade-off between accuracy and diversity, our system achieves a recall score of 0.301, a precision score of 0.282, a PD score of 0.048, and an AD score of 0.095 with a recommendation list size of 8 items.","PeriodicalId":506287,"journal":{"name":"JURNAL TEKNIK INFORMATIKA","volume":"135 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139163837","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

Detecting Palm Oil Deficiencies: A Study of Boron, Nitrogen, Potassium, And Magnesium Deficiencies Using Yolov5 Model 检测棕榈油缺乏症：利用 Yolov5 模型对硼、氮、钾和镁缺乏症的研究

JURNAL TEKNIK INFORMATIKA Pub Date : 2023-12-22 DOI: 10.15408/jti.v16i2.33523

Rusdi Efendi, Nurul Laila Tusya’diah, Ruvita Faurina

引用次数: 0

Mobile Application Development Analysis for Cafe Reservations and Delivery Order 咖啡厅预订和外卖订单移动应用开发分析

JURNAL TEKNIK INFORMATIKA Pub Date : 2023-12-22 DOI: 10.15408/jti.v16i2.25561

Anggy Trisnadoli, Rika Perdana Sari, Iqbal Setiawan

{"title":"Mobile Application Development Analysis for Cafe Reservations and Delivery Order","authors":"Anggy Trisnadoli, Rika Perdana Sari, Iqbal Setiawan","doi":"10.15408/jti.v16i2.25561","DOIUrl":"https://doi.org/10.15408/jti.v16i2.25561","url":null,"abstract":"Owning a cafe is one of a business that is currently trending in Indonesia, especially in Pekanbaru. With a wide range of cafes in Indonesia, it is directly proportional to the competition among the owners of a cafe. With the rapid development of technology, each cafe owner innovates a delivery order feature to compete with their competitors. They believe it will be a channel for business marketing to be efficient, fast, and sophisticated by providing delivery order features. The delivery order feature provides in two ways; call center by telephone and through an Android-based delivery order application offered by motorcycle taxi online. However, the weakness of using delivery orders through a mobile application is that there is an additional charge due to service fees and expensive shipping costs, which are burdensome to the customers. Regarding this, not having enough space also becomes a primary problem. For that matter, developing an Android application can make the customers easier to order food and drink online. In addition, customers can make reservations and order food or drinks simultaneously, which minimizes customers from running out of space.","PeriodicalId":506287,"journal":{"name":"JURNAL TEKNIK INFORMATIKA","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139163443","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

Continuous Sign Language Recognition Using Combination of Two Stream 3DCNN and SubUNet 使用双流 3DCNN 和 SubUNet 组合进行连续手语识别

JURNAL TEKNIK INFORMATIKA Pub Date : 2023-12-22 DOI: 10.15408/jti.v16i2.27030

Haryo Pramanto, Suharjito Suharjito

{"title":"Continuous Sign Language Recognition Using Combination of Two Stream 3DCNN and SubUNet","authors":"Haryo Pramanto, Suharjito Suharjito","doi":"10.15408/jti.v16i2.27030","DOIUrl":"https://doi.org/10.15408/jti.v16i2.27030","url":null,"abstract":"Research on sign language recognition using deep learning has been carried out by many researchers in the field of computer science but there are still obstacles in achieving the expected level of accuracy. Not a few researchers who want to do research for Continuous Sign Language Recognition but are trapped into research for Isolated Sign Language Recognition. The purpose of this study was to find the best method for performing Continuous Sign Language Recognition using Deep Learning. The 2014 RWTH-PHOENIX-Weather dataset was used in this study. The dataset was obtained from a literature study conducted to find datasets that are commonly used in Continuous Sign Language Recognition research. The dataset is used to develop the proposed method. The combination of 3DCNN, LSTM and CTC models is used to form part of the proposed method architecture. The collected dataset is also converted into an Optical Flow frame sequence to be used as Two Stream input along with the original RGB frame sequence. Word Error Rate on the prediction results is used to review the performance of the developed method. Through this research, the best achieved Word Error Rate is 94.1% using the C3D BLSTM CTC model with spatio stream input.","PeriodicalId":506287,"journal":{"name":"JURNAL TEKNIK INFORMATIKA","volume":"28 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139165098","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