9 research outputs found
TAM Analysis on The Factors Affecting Admission of Students for Ruangguru Application
No full textA new paradigm emerged in the field of education along with the development of increasingly advanced technology, namely the emergence of an electronic learning system known as e-learning. One of the e-learning media that is currently popular in Indonesia is Ruangguru online learning application that can be accessed through smartphone. The purpose of this study is to analyze the factors that influence student’s acceptance of Ruangguru application using Technology Acceptance Model (TAM) method. The 5 (five) constructs of the TAM research model were used, namely Perceived Usefulness, Perceived Ease of Use, Attitude Toward Using, Actual System Use, and Behavioral Intention of Use. The data collection used is an online questionnaire with purposive sampling technique. The results show that Attitude Towards Using did not have a significant effect on Behavioral Intention of Use, meaning that the students’ attitude towards using of did not affect students' intentions in using Ruangguru application. At the same time, the relationship of Perceived Ease of Use to Perceived Usefulness is the most significant influence where the ease in using Ruangguru application makes users feel that Ruangguru application is useful
Pengaruh Lingkungan Kampus dan Pembelajaran Kewirausahaan terhadap Keinginan Berwirausaha (Technopreneur) pada Mahasiswa
Get PDFSalah satu cara untuk mengatasi pengangguran adalah mendorong pertumbuhan kewirausahaan. Untuk mendorong pertumbuhan kewirausahaan, dan tentunya mengurangi pengangguran terbuka pendidikan Diploma,Sarjana dan Pascasarjana, pihak perguruan tinggi bertanggung jawab dalam mendidik dan memberikan kemampuan berwirausaha serta memberikan motivasi kepada lulusannya agar memilih berwirausaha sebagai karirnya dan memiliki intensi untuk memulai usaha serta memiliki kesiapan dalam hal pengetahuan kewirausahaan. Salah satunya yaitu dengan menambahkan pembelajaran (entrepreneurship) sabagai mata kuliah wajib di setiap programstudi bagi mahasiswa yang bertujuan untuk menumbuhkan pengetahuan bahwa berwirausaha harus memiliki prinsip serta kepercayaan diri yang kuat. Perguruan tinggi berbasis teknologi komputer, pengetahuan tentang enterpreneurship bertujuan untuk menghasilkan lulusan berjiwa wirausaha di bidang informatika yang mampu bersaing secara global, juga mendorong intensi berwirausaha berbasis teknologi (technopreneurship). Metode pengumpulan data yang dilakukan dalam penelitian ini dengan metode survei.Teknik pengambilan sampel dalam penelitian ini adalah purposive sampling. Berdasarkan uji di lingkungan kampus, pembelajaran kewirausahaan dan keinginan wirausaha, data menunjukkan valid dan realibel
Sistem Informasi Raport Online Berbasis Web Pada SMK Negeri 1 Slawi
Get PDFThe work system of teachers and staff of SMKN 1 Slawi still uses a conventional system that has the risk of errors in data input, besides that conventional data input also takes a long time to process. The design of the E-Raport Information System for SMK N 1 Slawi is a web-based information system created to facilitate and speed up teachers and staff in inputting data and assessing and evaluating students' learning from data input to printing report cards. The design of the E-Report Card Information System is expected to change the way teachers work from a conventional work system to a digital work system. In addition, the design of the e-report card information system aims to minimize errors in inputting data and student scores. The web-based E-Report Card Information System is designed using the SDLC (System Developmen Life Cyce) development system which carries out the research process using the waterfall method. Meanwhile, the software model carried out in the preparation of this research uses a programming model. The language used for this research is to discuss CSS programming, PHP, Java Script, HTML, Font Awesome, Data Tables, Boostrap and the databases used are MySQL and MariaDB database
Aplikasi Perancangan Informasi Kos Berbasis Android
Get PDFseek knowledge and earn income by local people but also people from outside Tegal. This of course will make people from inside and outside Tegal look for temporary housing or boarding houses until their education or work is complete. The problem of finding boarding houses for students, employees, and the general public has become a classic problem that appears every year. Surely this is due to the unavailability of good information for boarding house seekers. Currently, the search for boarding houses for students, employees, or the general public still relies on information obtained from friends and other people. This is reversed during the current millennial revolution which is growing i. To find out the location of the desired boarding house, an application is needed which will later be made with the Basic4Android application. Basic4Android programming is a programming language which is one of the easiest to learn and develop until now. Basic4Android is a programming science developed in software and developed by the company Anywhere Software Ltd
Aplikasi Elektronik Kasir Umum E-ku Berbasis Website Metode Spiral Toko Zaynmart
Get PDFIn light of the rapid technological advancements today, the utilization of the E-Ku web-based General Electronic Cashier Application remains highly relevant in aiding Micro, Small, and Medium Enterprises (UMKM) in enhancing their daily transaction efficiency. A case study for the implementation of this technology is illustrated through Zaynmart Store. The research approach adopted encompasses an analysis of Zaynmart Store's requirements and the development of web-based software accessible through a variety of devices, including computers, tablets, and smartphones. E-Ku Application empowers UMKM proprietors and their staff to effortlessly record sales transactions, manage inventory, and generate precise financial reports. Research findings underscore that the implementation of E-Ku's web-based General Electronic Cashier Application positively impacts the operational efficiency of Zaynmart Store. The streamlined transaction process facilitates time savings, reduces error potential, and enhances financial record-keeping accuracy for UMKM. Furthermore, E-Ku Application supports store owners in making informed decisions based on the data it provides. Consequently, the E-Ku web-based General Electronic Cashier Application stands as an effective tool for aiding UMKM, such as Zaynmart Store, in managing their day-to-day transactions, improving operational efficiency, and enhancing customer service. The successful implementation of E-Ku highlights the considerable potential of web technology in bolstering the growth and development of UMKM in this digital age
KLASIFIKASI PENERIMA DANA BANTUAN DESA MENGGUNAKAN METODE KNN (K-NEAREST NEIGHBOR)
Get PDFDetermining the status of poor families as recipients of assistance is very important so that poverty reduction assistance from the government can be channeled on target. Data mining utilizes experience or even mistakes in the past to improve the quality of the model and the results of its analysis, one of which is the ability possessed by data mining techniques, namely classification. The purpose of this study was to test K-Fold Cross Validation in the K-Nearst Neighbors algorithm in predicting receipt of village aid funds. In the beneficiary dataset used in this study, there were 159 records or tuples with four attributes (house condition, income, employment and number of dependents). The new data category prediction is done by using the Euclidean Distance manual calculation stage of five different K values. While using the Rapidminer application aims to test the accuracy of the dataset in five different K values. The results show that with K=15 and K=30 the new data (D160) has a "Not Eligible" category with an accuracy of 100%. Then with K=45, K=60 and K=75, the new data (D160) has the category "Eligible" with an accuracy rate of 81.25%
Sistem Informasi Administrasi Kependudukan Berbasis Web Pada Desa Bogangin Sumpiuh
Get PDFAbstract - System of Population Administration in Bogangin Sumpiuh Village is still done manually. In the data processing population is still conventional with data collection system that is now felt still many shortcomings that occur, because the existing system is still using a sheet of paper so it can cause data that is easily lost or damaged. The development of a system of web-based population administration system in Bogangn Village is a system that provides information about population data and web-based print services, thus helping speed and quality in the delivery of information and simplify the letter printing service to be more effective and efficient. In this sisem, the web can only be accessed by users ie citizens and administrators. The method used in the development of this system is SDLC (System Developmen Life Cyce) with the waterfall process model. In this study in addition to explaining the study of theories used as the basis of preparation, will also be discussed about the design of systems and web administration of population administration. So it is expected to be implemented in a product that will fix any shortcomings that exist in the old system.
Keywords: Information, Population Administration, Web based.
Abstrak - Sistem informasi Administasi Kependudukan pada Desa Bogangin Sumpiuh masih dilakukan secara manual. Dalam pengolahan data kependudukan masih secara konvensional dengan sistem pendataan yang sekarang dirasakan masih banyak kekurangan yang terjadi, dikarenakan sistem yang ada masih menggunakan lembaran kertas sehingga dapat menyebabkan data-data yang ada mudah hilang ataupun rusak. Pengembangan sistem berupa sistem Administrasi Kependudukan berbasis web pada Desa Bogangn merupakan sistem yang memberikan informasi mengenai data penduduk dan pelayanan cetak surat dengan berbasiskan web, sehingga membantu kecepatan dan kualitas dalam penyampaian informasi serta mempermudah dalam pelayanan cetak surat-menyurat agar lebih efektif dan efisien. Pada sisem ini, web hanya dapat diakses oleh user yaitu warga dan administrator. Metode yang digunakan dalam pengembangan sistem ini yaitu SDLC (System Developmen Life Cyce) dangan model proses waterfall. Dalam penelitian ini selain memaparkan kajian teori yang digunakan sebagai dasar penyusunan, juga akan dibahas mengenai perancangan sistem dan pembuatan web administrasi kependudukan. Sehingga diharapkan dapat diimplementasikan dalam sebuah produk yang akan memperbaiki segala kekurangan yang ada pada sistem lama.
Kata Kunci: Informasi, Administrasi Kependudukan, Berbasis Web
IDENTIFICATION OF HERBAL PLANT BASED ON LEAF IMAGE USING GLCM FEATURE AND K-MEANS: Identifikasi Tumbuhan Berdasarkan Citra Daun Menggunakan GLCM Feature dan K-means
Get PDFMedicinal plants are one of the groups of plants that have enormous benefits for humans because they can help the medical process for healing disease. Herbal plants can be used as ingredients for medicines, medicines produced from herbal plants are also natural. Lack of knowledge of herbal plants causes people to prefer chemical-based medicines to help cure their diseases, even though chemical-based drugs have side effects on human health. This study aims to identify types of herbal plants based on the extraction of contrast, correlation, energy, and homogeneity features as well as shape recognition based on metric and eccentricity values. The method used in this research is GLCM features and K-means clustering. In this study, the data used consisted of 352 data divided into 320 training data and 32 testing data. This research succeeded in identifying and classifying herbal plant species using GLCM features and K-means clustering segmentation with an average accuracy value of 85.94%
Autoantibodies against type I IFNs in patients with life-threatening COVID-19
No full textInterindividual clinical vari-ability is vast in humans infected withsevere acute respiratory syndrome corona-virus 2 (SARS-CoV-2), ranging from silent in-fection to rapid death. Three risk factors forlife-threatening coronavirus disease 2019(COVID-19) pneumonia have been identified—being male, being elderly, or having othermedical conditions—but these risk factorscannot explain why critical disease remainsrelatively rare in any given epidemiologicalgroup. Given the rising toll of the COVID-19pandemic in terms of morbidity and mortality,understanding the causes and mechanisms oflife-threatening COVID-19 is crucial.The Laboratory of Human Genetics of Infectious Diseases is supported by the Howard Hughes Medical Institute, The Rockefeller University, the St. Giles Foundation, the National Institutes of Health (NIH) (R01AI088364), the National Center for Advancing Translational Sciences (NCATS), NIH Clinical and Translational Science Award (CTSA) program (UL1 TR001866), a Fast Grant from Emergent Ventures, the Mercatus Center at George Mason University, the Yale Center for Mendelian Genomics and the GSP Coordinating Center funded by the National Human Genome Research Institute (NHGRI) (UM1HG006504 and U24HG008956), the French National Research Agency (ANR) under the Investments for the Future program (ANR-10-IAHU-01), the Integrative Biology of Emerging Infectious Diseases Laboratory of Excellence (ANR-10-LABX-62-IBEID), the French Foundation for Medical Research (FRM) (EQU201903007798), the FRM and ANR GENCOVID project (ANRS-COV05), the Square Foundation, Grandir – Fonds de solidarité pour l’enfance, the SCOR Corporate Foundation for Science, the Institut Institut National de la Santé et de la Recherche Médicale (INSERM), and the University of Paris. Samples from San Raffaele Hospital were obtained through the Covid-BioB project and by healthcare personnel of San Raffaele Hospital, San Raffaele Telethon Institute for Gene Therapy (SR-TIGET) clinical laboratory and clinical research unit, funded by the Program Project COVID-19 OSR-UniSR and Fondazione Telethon. The French COVID Cohort Study Group was sponsored by INSERM and supported by the REACTing consortium and by a grant from the French Ministry of Health (PHRC 20-0424). The Cov-Contact Cohort was supported by the REACTing consortium, the French Ministry of Health, and the European Commission (RECOVER WP 6). The Milieu Intérieur Consortium was supported by the French Government’s Investissement d’Avenir program, Laboratoire d’Excellence Milieu Intérieur grant (ANR-10-LABX-69-01) (primary investigators: L.Q.-M. and D.Du.). The Simoa experiment was supported by the PHRC-20-0375 COVID-19 grant “DIGITAL COVID” (primary investigator: G.G.). S.G.T. is supported by a Leadership 3 Investigator Grant awarded by the National Health and Medical Research Council of Australia and a COVID19 Rapid Response Grant awarded by UNSW Sydney. C.R.-G. and colleagues were supported by the Instituto de Salud Carlos III (COV20_01333 and COV20_01334, Spanish Ministry of Science and Innovation RTC-2017-6471-1; AEI/FEDER, UE) and Cabildo Insular de Tenerife (CGIEU0000219140 and “Apuestas científicas del ITER para colaborar en la lucha contra la COVID-19”). S.T.-A. and A.B. were supported by ANR-20-COVI-0064 (primary investigator: A.Be.). This work is supported by the French Ministry of Health “Programme Hospitalier de Recherche Clinique Inter regional 2013,” by the Contrat de Plan Etat-Lorraine and FEDER Lorraine, and by a public grant overseen by the French National Research Agency (ANR) as part of the second Investissements d’Avenir program FIGHT-HF (reference no. ANR-15-RHU-0004) and by the French PIA project “Lorraine Université d’Excellence” (reference no. ANR-15-IDEX-04-LUE) (45); and biobanking is performed by the Biological Resource Center Lorrain BB-0033-00035. This study was supported by the Fonds IMMUNOV, for Innovation in Immunopathology; by a grant from the Agence National de la Recherche (ANR-flash Covid19 “AIROCovid” to F.R.-L.); and by the FAST Foundation (French Friends of Sheba Tel Hashomer Hospital). Work in the Laboratory of Virology and Infectious Disease was supported by NIH grants P01AI138398-S1, 2U19AI111825, and R01AI091707-10S1; a George Mason University Fast Grant; and the G. Harold and Leila Y. Mathers Charitable Foundation. The Amsterdam UMC Covid-19 Biobank was supported by grants from the Amsterdam Corona Research Fund, the Dr. C.J. Vaillant Fund, and the Netherlands Organization for Health Research and Development [ZonMw; NWO-Vici-Grant (grant no. 918·19·627 to D.v.d.B.)]. This work was also supported by the Division of Intramural Research of the National Institute of Dental Craniofacial Research and the National Institute of Allergy and Infectious Diseases, National Institutes of Health, and by Regione Lombardia, Italy (project “Risposta immune in pazienti con COVID-19 e comorbidita”). The opinions and assertions expressed herein are those of the author(s) and do not necessarily reflect the official policy or position of the Uniformed Services University or the Department of Defense. J.H. holds an Institut Imagine M.D.-Ph.D. fellowship from the Fondation Bettencourt Schueller. J.R. is supported by the INSERM Ph.D. program (“poste d’accueil Inserm”). P.Ba. was supported by the French Foundation for Medical Research (FRM, EA20170638020) and the M.D.-Ph.D. program of the Imagine Institute (with the support of the Fondation Bettencourt-Schueller). We thank the Association “Turner et vous” for their help and support. Sample processing at IrsiCaixa was possible thanks to the crowdfunding initiative YoMeCorono. D.C.V. is supported by the Fonds de la recherche en santé du Québec clinician-scientist scholar program. K.K. was supported by the Estonian Research Council grant PUT1367. We thank the GEN-COVID Multicenter Study (https://sites.google.com/dbm.unisi.it/gen-covid). We thank the NIAID Office of Cyber Infrastructure and Computational Biology, Bioinformatics and Computational Biosciences Branch (contract no. HHSN316201300006W/HHSN27200002 to MSC, Inc.), the Operations Engineering Branch for developing the HGRepo system to enable streamlined access to the data, and the NCI Advanced Biomedical Computational Science (ABCS) for data transformation support. Biomedical Advanced Research and Development Authority was supported under contract no. HHSO10201600031C (to J.H.). Financial support was provided by the National Institute of Allergy and Infectious Diseases (NIAID) K08AI135091; the Burroughs Wellcome Fund CAMS; the Clinical Immunology Society; and the American Academy of Allergy, Asthma, and Immunology
