Advance Sustainable Science Engineering and Technology最新文献

Harnessing Quantum SVR on Quantum Turing Machine for Drug Compounds Corrosion Inhibitors Analysis 利用量子图灵机上的量子 SVR 进行药物化合物腐蚀抑制剂分析

Advance Sustainable Science Engineering and Technology Pub Date : 2024-07-27 DOI: 10.26877/asset.v6i3.601

Akbar Priyo Santosa, Muhammad Reesa, Lubna Mawaddah, Muhamad Akrom

{"title":"Harnessing Quantum SVR on Quantum Turing Machine for Drug Compounds Corrosion Inhibitors Analysis","authors":"Akbar Priyo Santosa, Muhammad Reesa, Lubna Mawaddah, Muhamad Akrom","doi":"10.26877/asset.v6i3.601","DOIUrl":"https://doi.org/10.26877/asset.v6i3.601","url":null,"abstract":"Corrosion is an issue that has a significant impact on the oil and gas industry, resulting in significant losses. This is worth investigating because corrosion contributes to a large part of the total annual costs of oil and gas production companies worldwide, and can cause serious problems for the environment that will impact society. The use of inhibitors is one way to prevent corrosion that is quite effective. This study is an experimental study that aims to implement machine learning (ML) on the efficiency of corrosion inhibitors. In this study, the use of the Quantum Support Vector Regression (QSVR) algorithm in the ML approach is used considering the increasingly developing quantum computing technology with the aim of producing better evaluation matrix values than the classical ML algorithm. From the experiments carried out, it was found that the QSVR algorithm with a combination of (TrainableFidelityQuantumKernel, ZZFeatureMap/ PauliFeatureMap, and linear entanglement) obtained better Root Mean Square Error (RMSE) and model training time with a value of 6,19 and 92 compared to other models in this experiment which can be considered in predicting the efficiency of corrosion inhibitors. The success of the research model can provide a new insights of the ability of quantum computer algorithms to increase the evaluation value of the matrix and the ability of ML to predict the efficiency of corrosion inhibitors, especially on a large industrial scale.","PeriodicalId":414022,"journal":{"name":"Advance Sustainable Science Engineering and Technology","volume":"3 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141798136","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

Classification of Movie Recommendation on Netflix Using Random Forest Algorithm 使用随机森林算法对 Netflix 上的电影推荐进行分类

Advance Sustainable Science Engineering and Technology Pub Date : 2024-07-27 DOI: 10.26877/asset.v6i3.676

Alifia Salwa Salsabila, C. A. Sari, E. H. Rachmawanto

{"title":"Classification of Movie Recommendation on Netflix Using Random Forest Algorithm","authors":"Alifia Salwa Salsabila, C. A. Sari, E. H. Rachmawanto","doi":"10.26877/asset.v6i3.676","DOIUrl":"https://doi.org/10.26877/asset.v6i3.676","url":null,"abstract":"Netflix is one of the most popular streaming platforms in this world. So many movies and shows with various genres and production countries are available on this platform. Netflix has their own recommendation systems for the subscribers according to their data and algorithm. This research aims to compare two methods of data classifications using Decision Tree and Random Forest algorithm and make a recommendation system based on Netflix dataset. This paper use feature importance to selecting relevant feature and how n_estimators affect the classification. In this research, Random Forest with 50 trees estimator with 96.84% accuracy before feature selection and 96.92% accuracy after feature selection has the best accuracy compared to the Decision Tree classification. Besides, Decision Tree has only 95.64% accuracy before feature selection and increases to 96.07% accuracy after feature selection. Trees estimator also affect the accuracy of Random Forest classification. After comparing the results, Random Forest with 50 trees estimators using feature selection provides best accuracy and it will be used to predict some similar movies and shows recommendation","PeriodicalId":414022,"journal":{"name":"Advance Sustainable Science Engineering and Technology","volume":"76 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141798362","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

Designing Steel Warehouse Layouts: A Comparative Study of Dedicated Storage and Class-Based Storage Methods at PT. BSB 设计钢制仓库布局：在 PT.BSB

Advance Sustainable Science Engineering and Technology Pub Date : 2024-07-27 DOI: 10.26877/asset.v6i3.737

Maghrobi Muzzaky Pratama, Said Salim Dahda

{"title":"Designing Steel Warehouse Layouts: A Comparative Study of Dedicated Storage and Class-Based Storage Methods at PT. BSB","authors":"Maghrobi Muzzaky Pratama, Said Salim Dahda","doi":"10.26877/asset.v6i3.737","DOIUrl":"https://doi.org/10.26877/asset.v6i3.737","url":null,"abstract":"PT BSB is a company engaged in steel fabrication manufacturing. There are various kinds of projects carried out at the company, namely bridges, steel structures, buildings, towers, etc. and the irregular placement of steel in the warehouse results in problems in the steel storage warehouse at PT. BSB where the company does not have an arrangement regarding the layout of raw materials for steel retrieval has difficulty because the steel is stored randomly without paying attention to its type and is only placed in an empty place. Therefore, it is necessary to design a layout using the dedicated storage and class-based storage methods to improve the warehouse layout by designing a warehouse layout so that it can make it easier to find and minimize steel search time. Results of research carried out obtained that distance travelled using the dedicated storage method is amounting to 7790,85 metres with material handling time 15581,7 minutes, whereas with use class based storage method can be obtained distance 8382,05 metres with material handling time 16764,1 minutes. Concluded that design results Select the selected layout is with use possible dedicated storage method reduce distance travel and time at PT. BSB warehouse becomes more practice and efficient","PeriodicalId":414022,"journal":{"name":"Advance Sustainable Science Engineering and Technology","volume":"81 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141798544","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

Synthesis and Characterization Materials Modern (CMC-Fe3O4-Chitosan-TiO2) As Portable Adsorbent Toxic Metal (Hg) and Dye Substance (Rh B) 作为有毒金属（汞）和染料（Rh B）便携式吸附剂的现代材料（CMC-Fe3O4-壳聚糖-TiO2）的合成与表征

Advance Sustainable Science Engineering and Technology Pub Date : 2024-07-27 DOI: 10.26877/asset.v6i3.709

Kaharuddin Kahar

引用次数: 0

Implementation of DenseNet121 Architecture for Waste Type Classification 实现用于废物类型分类的 DenseNet121 架构

Advance Sustainable Science Engineering and Technology Pub Date : 2024-07-27 DOI: 10.26877/asset.v6i3.673

Munis Zulhusni, C. A. Sari, E. H. Rachmawanto

引用次数: 0

Improving the Accuracy of House Price Prediction using Catboost Regression with Random Search Hyperparameter Tuning: A Comparative Analysis 利用随机搜索超参数调整 Catboost 回归提高房价预测的准确性：比较分析

Advance Sustainable Science Engineering and Technology Pub Date : 2024-07-27 DOI: 10.26877/asset.v6i3.602

Faezal Hartono, Muljono Muljono, Ahmad Fanani

引用次数: 0

Optimization Of Crude Palm Oil Production Machine Scheduling Using The Campbell Dudek Smith (CDS) Method 使用坎贝尔-杜德克-史密斯（CDS）方法优化原油棕榈油生产机器调度

Advance Sustainable Science Engineering and Technology Pub Date : 2024-07-13 DOI: 10.26877/asset.v6i3.731

Ratri Nurfitriah, Fibri Rakhmawati

引用次数: 0

The AirNav Semarang Employee Presence System Using Face Recognition Based on Haar Cascade 基于 Haar Cascade 的人脸识别三宝垄航空员工在岗系统

Advance Sustainable Science Engineering and Technology Pub Date : 2024-07-08 DOI: 10.26877/asset.v6i3.672

Fidela Azzahra, C. A. Sari, E. H. Rachmawanto

{"title":"The AirNav Semarang Employee Presence System Using Face Recognition Based on Haar Cascade","authors":"Fidela Azzahra, C. A. Sari, E. H. Rachmawanto","doi":"10.26877/asset.v6i3.672","DOIUrl":"https://doi.org/10.26877/asset.v6i3.672","url":null,"abstract":"The presence of employees is a key factor in supporting the needs of the workplace. At present, the employee presence system at PT. AirNav Indonesia Semarang Branch still uses fingerprint and RFID-based employee ID cards for authentication. This RFID-based system can increase employee fraud by allowing employees to misuse each other's ID cards. To avoid such fraud, a system needs to be built and it will be using face recognition technology as the primary authentication method, with the Haar Cascade Algorithm. This algorithm has the advantage of being computationally fast, as it only relies on the number of pixels within a rectangle, not every pixel of an image. In addition to fast computation, this algorithm also has the advantage of identifying objects that are relatively far away. With the implementation of the Haar Cascade algorithm, the results indicate the capability of face recognition in detecting the faces of registered employees within the system based on facial angles with an accuracy rate of 60%, expressions with an accuracy rate of 100%, as well as obstructive parameters such as glasses and masks with an accuracy rate of 33.33%. The ability to detect objects from various camera angles, recognize faces with different expressions, and identify objects obstructed by parameters can serve as reasons why this algorithm needs to be implemented","PeriodicalId":414022,"journal":{"name":"Advance Sustainable Science Engineering and Technology","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141668150","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

"My Javelin Throw" Android-based Javelin Throw Learning Application “我的标枪投掷”基于android的标枪投掷学习应用程序

Advance Sustainable Science Engineering and Technology Pub Date : 2023-08-29 DOI: 10.26877/asset.v5i1.16849

Ibnu Fatkhu Royana, Deni Wahyu Jumawan, Bertika Kusuma Prastiwi, Pandu Kresnapati, Tubagus Herlambang, Donny Anhar Fahmi, Muh Isna Nurdin Wibisana, Danang Aji Setyawan, Utvi Hinda Zhannisa

{"title":"\"My Javelin Throw\" Android-based Javelin Throw Learning Application","authors":"Ibnu Fatkhu Royana, Deni Wahyu Jumawan, Bertika Kusuma Prastiwi, Pandu Kresnapati, Tubagus Herlambang, Donny Anhar Fahmi, Muh Isna Nurdin Wibisana, Danang Aji Setyawan, Utvi Hinda Zhannisa","doi":"10.26877/asset.v5i1.16849","DOIUrl":"https://doi.org/10.26877/asset.v5i1.16849","url":null,"abstract":"This research is motivated by the need for a new learning model with different and engaging learning media, particularly in javelin throwing education. The aim of this research is to create an Android-based learning media for javelin throw. The method in this research is Research and Development (R&D). The subjects and location of this research are 11th-grade students of SMA Negeri 1 Bantarbolang, Pemalang Regency. In the small-scale research, the sample consists of 21 11th-grade students, while in the large-scale research, the sample consists of 272 11th-grade students. The data collection technique used is a questionnaire as the instrument. The quantitative data analysis technique in this research utilizes descriptive statistical analysis. The final validation results from media experts indicate that all aspects are rated as \"Good\" with a score of 78%. Meanwhile, the final validation from subject matter experts indicates that all aspects are rated as \"Excellent\" with a score of 82%. According to the data analysis results in the small-scale trial, the percentage obtained is 86.17%.","PeriodicalId":414022,"journal":{"name":"Advance Sustainable Science Engineering and Technology","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131946248","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

Design of Android and IoS Applications for Mobile Health Monitoring Devices 移动健康监测设备的Android和IoS应用程序设计

Advance Sustainable Science Engineering and Technology Pub Date : 2023-07-31 DOI: 10.26877/asset.v5i2.16508

A. Handayani, A. Fadhilah, Ibnu Ziad, N. Husni, Sri Chodidjah, Mega Hasanul Huda, Nur Agustini, Mieska Despitasari, Riswal Hanafi Siregar

引用次数: 1