Journal of Information System Research (JOSH)最新文献_第6页

Analisis Perbandingan Akurasi Pre-Trained Convolutional Neural Network Untuk Klasifikasi Kelompok Usia Pengunjung Rumah Sakit 对医院访客年龄分类的前试验性神经混淆网络进行比较

Journal of Information System Research (JOSH) Pub Date : 2023-01-29 DOI: 10.47065/josh.v4i2.2913

Arnes Sembiring, Sayuti Rahman, D. Siregar, Muhammad Zen, Suriati Suriati

{"title":"Analisis Perbandingan Akurasi Pre-Trained Convolutional Neural Network Untuk Klasifikasi Kelompok Usia Pengunjung Rumah Sakit","authors":"Arnes Sembiring, Sayuti Rahman, D. Siregar, Muhammad Zen, Suriati Suriati","doi":"10.47065/josh.v4i2.2913","DOIUrl":"https://doi.org/10.47065/josh.v4i2.2913","url":null,"abstract":"Children are not allowed to visit the hospital. Children should not visit the hospital for two reasons, namely the patient's side and the child's side. On the patient's side, patients need peace of mind during treatment and recovery. The noise generated by children makes the atmosphere not conducive and increases the patient's stress level. On the child's side, there are two factors, namely immunity, and trauma. Children have incomplete immunity so they are easily infected by viruses and bacteria. A child's immune disorder will harm the child's development. Apart from viruses and bacteria, in hospitals, there are also patients with major injuries such as those resulting from accidents. Children who see these large wounds can traumatize themselves and interfere with the child's growth and development. The age classification of visitors supports for hospital management to limit visitors based on age. Visitors categorized as children are visitors aged 12 years or younger. The method used for age group classification is the pre-trained CNN, including Alexnet, VGGNet, GoogleNet, ResNet, and AqueezeNet. We conducted a preliminary study using the All-Age-Faces (AAF) dataset as test data that represents the age of hospital visitors. The dataset is divided into two classes, namely children and adults. Based on the SqueezeNet test, it is a better method in terms of training accuracy and validation. Based on the order of accuracy validation, SqueezeNet succeeded in recognizing age groups with an accuracy of 93.09%, VGGNet 92.72%, AlexNet 91.44%, GoogleNet 90.92%, and ResNet 90.62%. This research is expected to contribute to helping control visitors to the hospital.","PeriodicalId":233506,"journal":{"name":"Journal of Information System Research (JOSH)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114829773","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 Point of Sale Pada Cora Petshop Menggunakan Metode Agile dan Scrum Framework 实现销售点帕达科拉宠物店孟古纳坎方法敏捷和Scrum框架

Journal of Information System Research (JOSH) Pub Date : 2023-01-29 DOI: 10.47065/josh.v4i2.2966

Dwi Auditira, Agung Triayudi, Deny Hidayatullah

引用次数: 1

Penerapan Quality Function Deployment (QFD) Pada Desain Smart Aquaculture Untuk Sektor Tambak Udang Vaname Berbasis IOT

Journal of Information System Research (JOSH) Pub Date : 2023-01-29 DOI: 10.47065/josh.v4i2.2806

Budi Setiawan, Nico Surantha

{"title":"Penerapan Quality Function Deployment (QFD) Pada Desain Smart Aquaculture Untuk Sektor Tambak Udang Vaname Berbasis IOT","authors":"Budi Setiawan, Nico Surantha","doi":"10.47065/josh.v4i2.2806","DOIUrl":"https://doi.org/10.47065/josh.v4i2.2806","url":null,"abstract":"In entering the era of industry 4.0. where the internet world has the main role as a link to every device to collect and analyze data. Internet Of Things (IOT) technology can optimize previous technologies. In the fishing industry, Indonesia has the potential for fishery land in 2020 of 1,201,275 ha. The large area of water area in Indonesia has potential for aquaculture such as vannamei shrimp. Water quality such as pH, turbidity level and shrimp feeding schedule in ponds are closely related to shrimp health conditions. The existence of good water quality management can maintain water quality in order to increase pond productivity. Technology and information integration through paired IOT sensors will transmit data collected in the field to cloud computing via internet-based radio frequency networks through virtualization. This study aims to design a realtime IOT-based shrimp pond monitoring system. The Quality Function Deployment (QFD) method is a method that aims to plan and develop products according to needs and desires of consumers. This method begins with making a matrix of consumer needs and desires for the cultivation of Vaname Shrimp ponds. From this data a House of Quality matrix will be created which contains any technical interests needed. For the evaluation results of the questionnaire based on the analysis of the answers given by the respondents, the questionnaire that has been made can be used as a reference so that the proposed system design can be realized to overcome Vaname Shrimp ponds in order to improve the quality and quantity of vannamei shrimp harvest, cultivate effectively and efficiently, and facilitating the supervision of pond managers on pond water quality, feeding and feed availability.","PeriodicalId":233506,"journal":{"name":"Journal of Information System Research (JOSH)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123820714","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

Evaluasi Usability Pada Sistem Website Absensi Menggunakan Metode SUS 使用SUS方法对缺席网站系统的usality评估

Journal of Information System Research (JOSH) Pub Date : 2023-01-29 DOI: 10.47065/josh.v4i2.2868

Isna Rachmawati, Resad Setyadi

{"title":"Evaluasi Usability Pada Sistem Website Absensi Menggunakan Metode SUS","authors":"Isna Rachmawati, Resad Setyadi","doi":"10.47065/josh.v4i2.2868","DOIUrl":"https://doi.org/10.47065/josh.v4i2.2868","url":null,"abstract":"Information technology (IT) is currently experiencing rapid development and is able to provide convenience such as solutions for organizations such as implementing a system at the Serayu Citanduy Water Resources Management Office, namely the field employee attendance website system. This system functions to monitor and provide services related to the field of employee attendance. However, there are still obstacles, namely the lack of attention to usability aspects, one of which is that there are still several features and buttons that have not been completed. Therefore, this study aims to evaluate usability related to the field employee attendance website system using the System Usability Scale (SUS) method. The SUS method is useful for assessing a system from a usability perspective by evaluating it as in this study. The research data was obtained by distributing questionnaires to 56 users. Before carrying out calculations using the SUS method, first calculate validation and reliability, validation of this questionnaire produces valid results and reliability, namely 0.613 means that it is reliable, so that research can run well. the level for the Value Scale is on a D scale with an average final score based on the calculation of the SUS method, namely 58.35 and the position of the last adjective branch is at the \"ok\" level. make improvements to improve usability such as developing by paying attention to the user interface, completing and selecting features on the button so that it functions properly and needs to be evaluated.","PeriodicalId":233506,"journal":{"name":"Journal of Information System Research (JOSH)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129413827","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 Sentimen Pengguna Transportasi Jakarta Terhadap Transjakarta Menggunakan Metode Naives Bayes dan K-Nearest Neighbor 使用Naives Bayes和K-Nearest邻里的方法分析雅加达对雅加达运输用户的感情

Journal of Information System Research (JOSH) Pub Date : 2023-01-29 DOI: 10.47065/josh.v4i2.2937

Ismia Iwandini, Agung Triayudi, Gatot Soepriyono

{"title":"Analisa Sentimen Pengguna Transportasi Jakarta Terhadap Transjakarta Menggunakan Metode Naives Bayes dan K-Nearest Neighbor","authors":"Ismia Iwandini, Agung Triayudi, Gatot Soepriyono","doi":"10.47065/josh.v4i2.2937","DOIUrl":"https://doi.org/10.47065/josh.v4i2.2937","url":null,"abstract":"Social media used in communicating that is very popular in Indonesia. One of the most popular is Twitter. Twitter is a social media site where people can share information publicly. This information can be processed to make sentiment analysis. This research attempts to create a system that can detect positive or negative sentiments in public information. The method used for this sentiment classification is the comparison method of Naive Bayes Classifier and K-Nearest Neighbor Classifier using TF-IDF weighting. The input to this system is in the form of tweet data for Transjakarta, while the output of this system is in the form of visualization of positive and negative sentiment data using Streamlit which is a library from python. Based on testing the accuracy of the Naive Bayes approach for sentiment analysis of Twitter data related to the use of Transjakarta transportation is 61.1%, and the accuracy of the K-Nearest Neighbor method is 75.7%. For the two methods used in determining the level of accuracy, it can be concluded that the K-nearest-neighbor method produces better accuracy.","PeriodicalId":233506,"journal":{"name":"Journal of Information System Research (JOSH)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122651359","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

Implementasi Sistem Identifikasi Senjata Real Time Menggunakan YOLOv7 dan Notifikasi Chat Telegram 使用YOLOv7和无线电聊天通知实现实时武器识别系统

Journal of Information System Research (JOSH) Pub Date : 2023-01-29 DOI: 10.47065/josh.v4i2.2774

Muhammad Rizqi Sholahuddin, Firas Atqiya, Sri Ratna Wulan, Maisevli Harika, Sofy Fitriani, Yusuf Sofyan

引用次数: 0

Analisis Segmentasi Recency dan Customer Value Pada AVANA Indonesia Dengan Algoritma K-Means dan Model RFM (Recency, Frequency and Monetary)

Journal of Information System Research (JOSH) Pub Date : 2023-01-29 DOI: 10.47065/josh.v4i2.2950

Muhammad Jordy, Agung Triayudi, Ira Diana Sholihati

引用次数: 1

Implementasi Metode Accrual Basis Pada Sistem Informasi Keuangan 金融信息系统基础理算方法的实施

Journal of Information System Research (JOSH) Pub Date : 2023-01-29 DOI: 10.47065/josh.v4i2.2924

Khofifah Haq, Suendri Suendri

{"title":"Implementasi Metode Accrual Basis Pada Sistem Informasi Keuangan","authors":"Khofifah Haq, Suendri Suendri","doi":"10.47065/josh.v4i2.2924","DOIUrl":"https://doi.org/10.47065/josh.v4i2.2924","url":null,"abstract":"The financial recording system is carried out in the school diary, so it takes time to recap the revenue or expenditure records in order to find out the amount of funds that have been received or spent. This is less time efficient in presenting financial statements. This study aims to apply the accrual basis method to the financial accounting information system of MIS Nurul Huda Sei Paham and build a web-based financial accounting information system at MIS Nurul Huda Sei Paham. This research uses the research and development method or commonly known as R&D which has several stages, namely potential and problems, data collection, product design, design validation, design revision, product trials, product revision, trial use, final product revision, and mass production. However, this research only reached the product trial stage. System testing uses a questionnaire which is divided into 3 parts, namely expert experts, field tests and prospective users. From the results of the expert questionnaire assessment, a value of 3.8 was generated which indicated a fairly valid category, the field test questionnaire assessment resulted in a value of 4.0 which indicated a valid category and an assessment of a questionnaire of 10 prospective users resulted in a value of 80 which indicated an effective category. it can be concluded that the financial accounting information system using the accrual basis method at MIS Nurul Huda Sei Paham has run well according to school needs and can help present financial reports quickly.","PeriodicalId":233506,"journal":{"name":"Journal of Information System Research (JOSH)","volume":"11 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116821197","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

Penerapan Algoritma K-Medoids Untuk Clustering Prioritas Penerima Beasiswa 使用K-Medoids算法来定义奖学金获得者的优先级

Journal of Information System Research (JOSH) Pub Date : 2023-01-29 DOI: 10.47065/josh.v4i2.2927

A. Iskandar

{"title":"Penerapan Algoritma K-Medoids Untuk Clustering Prioritas Penerima Beasiswa","authors":"A. Iskandar","doi":"10.47065/josh.v4i2.2927","DOIUrl":"https://doi.org/10.47065/josh.v4i2.2927","url":null,"abstract":"Scholarships are a form of appreciation given to students. In college scholarships that are usually given are scholarships from foundations. The limited number of foundation scholarships provided by tertiary institutions is certainly a separate problem for elements of leadership or management. The problems encountered must be resolved as well as possible. Therefore, it is necessary to group students who are prioritized to get foundation scholarships. The process of determining priority levels for students receiving foundation scholarships has become a new problem for the management team. The process of solving the problem can be done by processing the data. Data mining is a data processing process for extracting information stored in datasets. In data mining, the process of grouping data for the priority determination process is included in the clustering technique. K-Medoids is part of clustering data mining. K-Medoids is used in data mining for the grouping process in forming clustering. The K-Medoids algorithm can help simplify the process of forming priority clusters. In this case there are 5 alternatives included in Cluster 1 and 5 alternatives included in Cluster 2. With the formation of clusters from the K-Medoids algorithm process it can be easily in the decision making process.","PeriodicalId":233506,"journal":{"name":"Journal of Information System Research (JOSH)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130559509","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

Evaluasi Tingkat Keberhasilan E-Learning Smart Campus Menggunakan Metode HOT FIT 评估亭卡特克伯哈士兰电子学习智能校园梦古那坎Metode HOT FIT

Journal of Information System Research (JOSH) Pub Date : 2023-01-29 DOI: 10.47065/josh.v4i2.2795

Muhammad Munawir Arpan, Feby Nur Salisah, Idria Maita, Fitriani Muttakin

{"title":"Evaluasi Tingkat Keberhasilan E-Learning Smart Campus Menggunakan Metode HOT FIT","authors":"Muhammad Munawir Arpan, Feby Nur Salisah, Idria Maita, Fitriani Muttakin","doi":"10.47065/josh.v4i2.2795","DOIUrl":"https://doi.org/10.47065/josh.v4i2.2795","url":null,"abstract":"E-learning Smart Campus is a website that is used as an electronic learning system. Smart Campus e-learning began to be implemented at STIFAR Riau in 2018. In this study there were several problems during its use not all lecturers used it, frequent errors occurred, lack of training for system users, difficulty uploading assignments to the system. The purpose of this research is to determine the success rate of implementing Smart Campus e-learning and to provide suggestions for improvements to become a better system for the future. The method used to measure the success rate of Smart Campus e-learning is the HOT Fit method. Respondents in this study were students and lecturers of STIFAR Riau with a total sample of 313 respondents. For data processing using the SEM-PLS technique with SmartPLS software. The results of testing the successful implementation of STIFAR Riau E-learning from the 12 hypotheses used obtained the highest value, namely the variable User Satisfaction on Net Benefit with a T-Stasistic value of 7,494. This means that the better the User Satisfaction, the higher the System User in using the Smart Campus Riau E-learning System.","PeriodicalId":233506,"journal":{"name":"Journal of Information System Research (JOSH)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132585057","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: 2