Jurnal Teknologi dan Manajemen Informatika最新文献

Enhancement of Coronary Heart Disease Prediction using Stacked Long Short Term Memory 利用堆叠长短期记忆增强冠心病预测

Jurnal Teknologi dan Manajemen Informatika Pub Date : 2023-06-27 DOI: 10.26905/jtmi.v9i1.9707

Cinthiya Cinthiya, R. Oetama

引用次数: 0

Klasifikasi Cacat Biji Kopi Menggunakan Metode Transfer Learning dengan Hyperparameter Tuning Gridsearch 咖啡豆缺陷的分类方法是使用使用超参数调谐搜索进行学习

Jurnal Teknologi dan Manajemen Informatika Pub Date : 2023-06-27 DOI: 10.26905/jtmi.v9i1.10035

Aryo Michael, Juprianus Rusman

{"title":"Klasifikasi Cacat Biji Kopi Menggunakan Metode Transfer Learning dengan Hyperparameter Tuning Gridsearch","authors":"Aryo Michael, Juprianus Rusman","doi":"10.26905/jtmi.v9i1.10035","DOIUrl":"https://doi.org/10.26905/jtmi.v9i1.10035","url":null,"abstract":"Defects in coffee beans can significantly impact the quality of coffee production, which can lead to a decrease in the price of coffee beans in the global coffee market. Currently, coffee bean sorting is still conventionally done to separate defective and non-defective coffee beans, which is a time-consuming process and subject to subjective selection, potentially leading to a decline in the quality of the resulting coffee beans. The objective of this research is to design and measure the performance of deep learning algorithms, CNN MobilNetV2 and DenseNet201, using transfer learning methods where hyperparameter tuning grid search is employed to select the optimal combination of hyperparameters for the defective coffee bean classification model. The study began by collecting a dataset of images of abnormal and defective coffee beans, building a classification model using transfer learning methods that utilized pre-trained models and selecting the best hyperparameters, training the model, and finally testing the created classification model. The research results indicate that the pre-trained MobileNetV2 model with hyperparameter tuning achieved an accuracy of 90%, and the pre-trained DenseNet201 model achieved an accuracy of 93%. The research results indicate that this approach enables the model to achieve excellent performance in recognizing and classifying defective coffee beans with high accuracy","PeriodicalId":31840,"journal":{"name":"Jurnal Teknologi dan Manajemen Informatika","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43389825","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 Simple Additive Weighting (SAW) untuk Penentuan Muazin Terbaik 采用简单的上瘾方法来确定最佳的诱变方法

Jurnal Teknologi dan Manajemen Informatika Pub Date : 2023-06-27 DOI: 10.26905/jtmi.v9i1.10051

Rika Harman, A. Amrizal, Evan Rosiska

{"title":"Penerapan Metode Simple Additive Weighting (SAW) untuk Penentuan Muazin Terbaik","authors":"Rika Harman, A. Amrizal, Evan Rosiska","doi":"10.26905/jtmi.v9i1.10051","DOIUrl":"https://doi.org/10.26905/jtmi.v9i1.10051","url":null,"abstract":"Decision-making is sometimes often wrong so it can harm certain parties. If the decisions taken are very strategic, you can imagine the losses that will result from these decisions. The Al-Hikmah Mosque, which is located at the Taman Hangtuah Legenda Malaka Batam Center housing complex, is currently experiencing a muezzin vacancy. Al-Hikmah Mosque itself has held a selection for the muezzin. From the selection results, the five best people were obtained. Of the five best people, one will be selected and meets the criteria. The purpose of this research is to make it easier for the Al-Hikmah mosque to make decisions to get the best of the best muezzins. In addition, the mosque can also get choices if the first choice resigns. In this study, the method used is Simple Additive Weighting (SAW) where all participants who meet the criteria will be ranked. The results of the ranking, who were selected to be the best muezzin with the best value or rank were Mr. Abdul Hafiz with a score of 0.845, and Mr. Ihsan as the second alternative with a value of 0.7925. From the results of this study, it can be concluded that the Simple Additive Weighting (SAW) method in determining the best muezzin has a high degree of accuracy. This can prevent discrimination because the election system is based on logically processed data so that all participants can accept the results obtained.","PeriodicalId":31840,"journal":{"name":"Jurnal Teknologi dan Manajemen Informatika","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42073244","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

User Experience Evaluation of Botani Mobile Application using User Experience Questionnaire 利用用户体验问卷对Botani移动应用进行用户体验评价

Jurnal Teknologi dan Manajemen Informatika Pub Date : 2023-06-27 DOI: 10.26905/jtmi.v9i1.9025

N. Priandani, Yohana Avelia Sandy, Nadia Roosmalita Sari

{"title":"User Experience Evaluation of Botani Mobile Application using User Experience Questionnaire","authors":"N. Priandani, Yohana Avelia Sandy, Nadia Roosmalita Sari","doi":"10.26905/jtmi.v9i1.9025","DOIUrl":"https://doi.org/10.26905/jtmi.v9i1.9025","url":null,"abstract":"Agriculture is an important sector in Indonesia. Farming are how most people make a living within the population [1]. Currently, access to consult with agricultural experts is something that farmers don't have as a privilege. The combination of technology and agriculture needs to be developed to make it easier for farmers to consult. Botani Mobile Apps is an Android-based application that has been developed by the Faculty of Agriculture UB. The purpose of this application is to facilitate farmers in agricultural cultivation. User experience is how a person feels when using a product, system, or service [2]. User experience evaluation needs to be done to measure the success of a product design and to get user feedback for further improvement. One method of evaluating user experience is UEQ (User Experience Questionnaire). Evaluation of user experience of the Botanical mobile application using UEQ will be discussed in this study. Based on the results of the UEQ that have been carried out, the 26 questions asked had an average value of more than 1. After grouping the questions on the 6 UEQ Scale, the average results of calculation showed that all scales are in the green area. Based on UEQ characteristics, the highest scores were Attractiveness, Pragmatic and Hedonic qualities, respectively. All the results of the characteristic values were more than 1. Based on the Benchmark calculation, showed that the Attractiveness, Efficiency, Dependability and Novelty scales had good scale results and the Perspicuity and Novelty scales got above average scale results. Based on all the results of the UEQ evaluation, it can be concluded that the user experience on the BOTANI application is good.","PeriodicalId":31840,"journal":{"name":"Jurnal Teknologi dan Manajemen Informatika","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69161787","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

Prediksi Pergerakan Saham BBRI ditengah Issue Ancaman Resesi 2023 dengan Pendekatan Machine Learning 用机器学习方法预测2023年问题威胁缓解期间美国数量的变化

Jurnal Teknologi dan Manajemen Informatika Pub Date : 2023-06-27 DOI: 10.26905/jtmi.v9i1.9135

Wahyu Cahyo Utomo

{"title":"Prediksi Pergerakan Saham BBRI ditengah Issue Ancaman Resesi 2023 dengan Pendekatan Machine Learning","authors":"Wahyu Cahyo Utomo","doi":"10.26905/jtmi.v9i1.9135","DOIUrl":"https://doi.org/10.26905/jtmi.v9i1.9135","url":null,"abstract":"The economic recovery after the Covid-19 pandemic is becoming increasingly challenging. According to several experts, a global recession is expected to occur in 2023, necessitating contributions from various fields of knowledge to address this situation. Machine learning is one method that can contribute by forecasting stock price movements. This research attempts to address the issues faced by traders in observing the potential movement of BBRI stock under the recession issue in 2023. Furthermore, this study uses linear regression and Bayesian regression methods to find the best model. By using six-month stock data of BBRI, with attributes such as open, high, low, and close as prediction targets, it is found that the model built using linear regression outperforms Bayesian regression. Based on the testing results, the linear regression model achieved a Dstat of 80% and an RMSE of 595.30, while the Bayesian regression model obtained a Dstat of 80% but a higher RMSE of 660.58. Based on the modeling results in this study, it is concluded that in the first semester of 2023, BBRI stock is still moving upward and is not affected by the recession issue in 2023.","PeriodicalId":31840,"journal":{"name":"Jurnal Teknologi dan Manajemen Informatika","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49233201","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

Sistem Informasi Manajemen Aset Bendung Serdang BWS Sumatera II Menggunakan Metode Straight Line dan Simple Additive Weighting Sumatera资产管理信息系统使用了简单的直线和附加限制手段

Jurnal Teknologi dan Manajemen Informatika Pub Date : 2023-06-27 DOI: 10.26905/jtmi.v9i1.10107

Muhammad Fikri Afandi, Muhammad Irwan Padli Nasution

引用次数: 0

Pengembangan Aplikasi Penentuan Media Promosi Pelaku UMKM Berbasis Website 基于网站的UMKM媒体推广决策应用程序的开发

Jurnal Teknologi dan Manajemen Informatika Pub Date : 2023-06-27 DOI: 10.26905/jtmi.v9i1.8502

Edi Subiyantoro, Ahmad Rofiqul Muslikh, Fandi Yulian Pamuji, Maria Elfrida Wunu

引用次数: 0

Penerapan Model Kesuksesan Sistem Informasi HOT-Fit terhadap Penggunaan e-Belajar sebagai Media Pembelajaran Daring Berbasis Website (Studi Kasus: STIKI) HOT Fit信息系统成功模型的表达反对将电子学习作为基于网络的心脏学习媒体（案例研究：STIKI）

Jurnal Teknologi dan Manajemen Informatika Pub Date : 2023-06-27 DOI: 10.26905/jtmi.v9i1.10075

Dedy Ari Purnomo

引用次数: 0

Studi Literature Analisis Potensi Pasar Marketplace terhadap Penjualan 针对销售的市场潜力研究文献分析

Jurnal Teknologi dan Manajemen Informatika Pub Date : 2022-12-15 DOI: 10.26905/jtmi.v8i2.9055

Syah Roni, Cahyo Crysdian

引用次数: 0

Analisis Sistem Pembelajaran Daring Berbasis Gamification Collaboration untuk Mendukung Merdeka Belajar Menggunakan Octalysis Framework 基于游戏化协作的身体学习系统分析支持科学学习使用Octalysis框架

Jurnal Teknologi dan Manajemen Informatika Pub Date : 2022-12-14 DOI: 10.26905/jtmi.v8i2.7855

A. L. Maukar, Anik Vega Vitianingsih, Fitri Marisa, Atanasia Pramudita, Jessica Ananda Putri, Intan Yosa Pramisela

{"title":"Analisis Sistem Pembelajaran Daring Berbasis Gamification Collaboration untuk Mendukung Merdeka Belajar Menggunakan Octalysis Framework","authors":"A. L. Maukar, Anik Vega Vitianingsih, Fitri Marisa, Atanasia Pramudita, Jessica Ananda Putri, Intan Yosa Pramisela","doi":"10.26905/jtmi.v8i2.7855","DOIUrl":"https://doi.org/10.26905/jtmi.v8i2.7855","url":null,"abstract":"The COVID-19 pandemic has had a major impact on many things. Education, which is one of the important aspects in supporting human life, also felt the impact of the pandemic. Based on Circular Letter Number 4 of 2020 concerning the Implementation of Education Policies during the emergency period of the spread of COVID-19, the government has a policy that face-to-face education is not allowed to be carried out. Therefore, the world of education began to implement distance learning or e-Learning. In addition to how to teach and learn, there are other things that need to be considered for the success of the process. Another thing is student learning motivation. Changes in the teaching and learning process also have an impact on student learning motivation. In this study, a questionnaire has been distributed to find out the core drive of student learning motivation. Based on a questionnaire that has been filled out by 167 respondents, the core drive that influences students' learning motivation is at a high level. This indicates that the level of student learning motivation during the COVID-19 pandemic is still high.","PeriodicalId":31840,"journal":{"name":"Jurnal Teknologi dan Manajemen Informatika","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46193867","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