Reviewerly/exHarmony huggingface dataset:
Performance evaluation of radial basis function (RBF) and multilayer perceptron (MLP) in identifying the contributory factors of learning habits during COVID-19

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation Nur Nabilah Abu Mangshor, Shafaf Ibrahim, Nurbaity Sabri, Hazwa Hanim Mohamed Hamzah, Saadi Ahmad Kamaruddin; Performance evaluation of radial basis function (RBF) and multilayer perceptron (MLP) in identifying the contributory factors of learning habits during COVID-19. AIP Conf. Proc. 21 March 2024; 2750 (1): 040046. https://doi.org/10.1063/5.0150371 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search
Develop Android based learning application for the sub topic of fertigation system

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation A. Razaain, M. N. A. Azman, C. G. C. Kob, M. A. M. Hussain, M. W. Sari; Develop Android based learning application for the sub topic of fertigation system. AIP Conf. Proc. 21 March 2024; 2750 (1): 040036. https://doi.org/10.1063/5.0149267 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search
Exploring the use of Jamboard, Padlet and Canva as teaching apps for the digital classroom

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation C. K. S. Singh, M. F. Zaini, K. Chenderan, R. Gopal, S. S. Shukor, N. A. Madzlan, P. Z. M. Khalid; Exploring the use of Jamboard, Padlet and Canva as teaching apps for the digital classroom. AIP Conf. Proc. 21 March 2024; 2750 (1): 040008. https://doi.org/10.1063/5.0149677 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search
Develop Android based learning application for the sub-topic of electronic design

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation N. Ramli, M. N. A. Azman, A. Shah, C. G. C. Kob, I. Mat Nashir, M. Khairudin; Develop Android based learning application for the sub-topic of electronic design. AIP Conf. Proc. 21 March 2024; 2750 (1): 040033. https://doi.org/10.1063/5.0149268 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search
OC-SVM on alertness driver behavior

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation Ashardi Abas, Abu Bakar Ibrahim; OC-SVM on alertness driver behavior. AIP Conf. Proc. 21 March 2024; 2750 (1): 040038. https://doi.org/10.1063/5.0148532 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search
LexisNexis database: A study on usage and satisfaction

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation Adila Ismail, Habee Bullah Affandy, Mohammad Rezal Hamzah, Huzili Hussin; LexisNexis database: A study on usage and satisfaction. AIP Conf. Proc. 21 March 2024; 2750 (1): 040013. https://doi.org/10.1063/5.0149246 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search
Sistem Kendali Dan Monitoring Penyiram Tanaman Cabai Menggunakan Metode Fuzzy Dengan Aplikasi Telegram

The need for the staple food chili is quite high, while agricultural land in big cities is being converted into residential areas. Meanwhile, chili plants can grow and develop in a limited environment by controlling humidity, temperature and light intensity. This research aims to analyze a greenhouse monitoring control system for chili plants based on DHT 22 temperature sensor input and YL-69 humidity sensor. The method used is fuzzy mamdani to control humidity according to what the plants need. The system test results can maintain the soil moisture of chili plants at 60% - 80%. The DHT 22 sensor test worked quite well with a error temperature sensor of 0.00% - 1.12%. Overall, the temperature and humidity control system in the greenhouse can maintain stable humidity for chili plants at the desired set point.
Smart Farm Hydroponics berbasis IOT dengan NodeMCU ESP8266

The development of information technology is increasing rapidly from time to time, information technology can be felt directly by humans and has experienced significant changes in several sectors of life. One form of progress in the field of information technology is the Internet of Things (IoT) platform. Agriculture is an important sector for people's lives. Hydroponics is a method in agriculture that can cultivate plants without the need for land, but uses water and nutrient solutions as a planting medium. This hydroponic cultivation has many advantages including more practical maintenance and more controlled pest disturbances, does not depend on natural conditions, and can be done on limited land. To optimize agricultural products, farmers need to get nutritional conditions, solution pH and temperature in real time to be able to make the right decisions for what crops to plant. The process of decreasing the temperature from 360 Celsius to 340 Celsius lasts ± 3 minutes. And the provision of plant nutrition is carried out by order through the Blynk application.
Sistem Pendukung Keputusan Seleksi Calon Putra-Putri Duta Pariwisata Menerapkan Metode VIKOR

Tourism Ambassador which serves to promote tourism products in an area so that it is better known and attracts domestic and foreign tourists to come and enjoy tourism products in the Central Tapanuli Regency area. To produce competent Tourism Ambassadors, strict and quality selection is carried out. Due to the large number of selection participants, a decision support system was created to facilitate the assessment process. This system uses the VIKOR method to determine the value of the weighted criteria consisting of personality ethical values, general knowledge, appearance, interviews, achievements/talents, attitude in answering questions, friendliness, English and also height to find the best alternative participants. The results of the calculation are then displayed in the form of 6 alternative names of the best male and female participants. Therefore, we need a decision support system (SPK) that is able to help existing problems and make it easier to determine prospective sons and daughters of tourism ambassadors in Central Tapanuli Regency. The decision support system also functions as a supporting facility to determine prospective tourism ambassadors. With this system, it is expected to be able to get an optimal decision system. This study discusses the selection of tourism ambassador candidates by applying nine criteria. These nine criteria are personality ethics, general knowledge, appearance, interviews, achievements/talents, attitude in answering questions, friendliness, English and also height. Data analysis applied VIKOR method for weighting and criteria ranking.
Rancang Bangun Prototipe Sistem Parkir Kendaraan Bermotor Dengan Radio Frequency Identification Berbasis Arduino Uno

Parking management in the city of Mamuju still uses conventional methods which cause many vehicles to park in random places, such as on the shoulder of the road, causing congestion. To overcome this problem, a system is needed to regulate it. This study aims to design a parking system prototype that can later be applied to office centers, shops, shopping and other public places. The results of testing the system prototype by testing registered and unregistered cards, there were no failures in the reading process. It's just that there is a delay of 5 to process data on the registered card. Overall, it can be concluded that the prototype system is functioning properly.
Prototype Sistem Informasi Publik dan Prediksi Produksi Karet Menggunakan Metode Naive Bayes Berbasis Website

The problem in this research is currently, public information to every village community is not carried out effectively because public information is carried out directly so that people who want to know village information must come directly to the Ngestiboga Village office 1. For the process of serving the letters needed by the community through a long process. The community must take care of, for example, a cover letter from the head of the hamlet and then forward it to the Ngestiboga 1 Village Office, where to carry out the service process to take care of the letters is difficult for the community because it is a long process. This study used data collection methods by conducting observations in Ngestiboga 1 Village, Jayaloka District, interviews with staff or the head of Ngestiboga 1 Village, Jayaloka District and literature on books related to the author's title, The results of the research are Public Information System Design and Rubber Production Prediction, the application is built using the PHP programming language with MYSQL as the application database and the application interface is built based on a Website and nave Bayes will be used as an algorithm for rubher production prediction. It can be concluded that the system can provide information and public services online to the community of Ngestiboga I Village, Jayaloka District and apply the Naive Bayes Algorithm so as to produce information on rubber production in the future.
Implementasi Algoritma Naïve Bayes Classifier Dalam Penerimaan Karyawan

The final research report of this study aims to find out how the employee recruitment procedure at PT. Kreasibeton Nusapada, because human resources are a component that has a very important role in a company. In today's technological age, some companies have used certain methods in making choices to recruit new employees. This is because the assessment used to obtain competent new employees should be an objective assessment. In this research, an assessment method will be developed to make it easier for the HRD (Human Resource Department) to select competent candidates to fill certain positions needed by the company. The assessment will be calculated by assessing all the criteria that must be met by prospective company employees, where the assessment is made with standards predetermined by management. The research produced a suitable candidate to fill the position of HSE (Health Safety Environment) staff at PT Kreasibeton Nusapersada, namely Rizki Vadlin with a final score of 1.75 which was calculated based on the Naïve Bayesian Classifier Algorithm. The results of this study indicate that the process of assessing the competence of prospective employees to fill available positions in the company is proven to produce an objective and effective assessment in accordance with the criteria set by the company's managemen.
Penerapan Algoritma Naïve Bayes Dalam Diagnosa Penyakit Covid-19

Covid-19 is a virus that is so small that you cannot see it with the naked eye, you need the help of a magnifying device such as a microscope and this virus is very dangerous which causes respiratory problems in humans and can even kill humans who have been exposed to the Covid-19 virus or other viruses. this crown. Where in general, the community and medical teams diagnose someone who has been exposed to Covid-19 based on a symptom including: fever, cough, runny nose, shortness of breath, unable to smell and feel on the tongue. But not everyone who suffers from such a disease can be classified as Covid -19 disease. So to make sure someone has Covid-19, an antigen test or PCR test is carried out. Examination data related to Covid-19 from the results of symptoms with the results of antigen or PCR tests has been collected and has not been used to diagnose someone who has symptoms of Covid-19. From the problems that exist, the medical team really needs help in diagnosing Covid-19 disease in patients easily and quickly, namely by using the Naïve Bayes algorithm data mining, where the Naïve Bayes algorithm can produce correct and real data. The results of this study are based on the Naïve Bayes data mining algorithm in the diagnosis of Covid-19, namely Alex is positive for Covid-19 while Imam is negative for Covid-19.
Development and usability of roll art tree based on STEAM for preschool students

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation S. Hazwani, R. N. Farah; Development and usability of roll art tree based on STEAM for preschool students. AIP Conf. Proc. 21 March 2024; 2750 (1): 040022. https://doi.org/10.1063/5.0148514 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search
Cluster Biji Sawit Unggul Dengan Algoritma K-Medoids

Superior oil palm seed is a plant derived from fruit that is 1.57 cm long and 0.92 cm wide, with a roundness of 80% and a weight of 1.11 grams. There have been a large number of 1.4 million oil palm seeds distributed by the end of 2021. There are several problem factors that influence choosing superior seeds for oil palm, namely the problem of circulating wild seeds and being traded on the illegal market, frequent pests and diseases in oil palm growth, coconut production capacity sufficient oil palm is still relatively lacking compared to demand, and many of the plantations are forcing the yield of oil palm fruit. the consequences of the problems above are the lack of knowledge and knowledge that can be obtained by anyone who has an oil palm plantation. So from the results of this study alternatives A1, A6, A9, A10, A13, A18 are in one cluster, and alternatives A2, A5, A8, A11, A14, A15, A16, A17, A19 are in one cluster, while alternative A3 ,A4,A7,A12,A20 are also in one cluster.
Penerapan Metode K-Medoids Clustering Pada Penanganan Kasus Demam Berdarah

The number of cases of the spread of dengue hemorrhagic fever (DHF) in Beringin Country Village every year has increased for this reason, it is necessary to handle dengue hemorrhagic fever so that the spread does not increase dengue hemorrhagic fever cases every year. The vast natural conditions of Banyan Country Village make it difficult to monitor the spread of diseases based on the most cases. This causes slow prevention and control of the disease. For this reason, it is necessary to group or cluster diseases based on the number of cases that occur each year. This study aims to apply the K-Medoids algorithm to group dengue hemorrhagic fever data based on the number of cases each year. The process of solving problems can be done by processing data. Data mining is a data processing process for extracting information stored in the data set, in data mining the process of grouping data for the process of handling dengue hemorrhagic fever is included in clustering techniques. The K-medoids algorithm is a limiting clustering method for grouping a collection of objects into clusters. The data used is in the form of data on dengue sufferers, from 2017-2022. Test results were obtained for high cluster dengue disease of 72 members and low 28 members. The K-medoids algorithm can help facilitate the process of forming dengue hemorrhagic fever treatment clusters. Testing using manual calculations and the Rapidminer application gets the same results as the system. This shows that the system has worked well.
Penerapan Metode K-Means Dalam Menentukan Klasifikasi Produk Pembelian Pelanggan

According to the survey, there are approximately 3,500 types of food and non-food products available at competitive prices, meeting almost all the daily needs of consumers. With a fairly large number of transactions, companies need analysis and classification tools to provide useful information for companies in determining the layout of goods, what goods are most in demand by consumers and others. Determination of the layout of food and beverage products is carried out to make it easier for consumers to find food and beverage products so as not to disappoint consumers in finding the location of which products are suitabel to be combined with other products that are often in demand by consumers so that consumers can save time. Based on the description above, a data mining analysis tool is needed using Association Rules to be processed using the K-Means method. Currently, the utilization of the available data has not been maximized, it is only limited to making reports.
Implementasi Algoritma Hash-Based Dalam Mengetahui Pola Penjualan Obat

The development of technology can make it easier for us to carry out drug sales transactions. In carrying out marketing activities every day, you can make more and more data, because this data does not only function as an archive for a company. This data can be used and processed to produce information that will increase drug sales at Awiga pharmacies. The problem that often occurs in awiga pharmacies is not paying attention to drug stocks so that the drugs consumers want are not available or run out. Awiga Pharmacy does not utilize existing transaction data. So with that we need a data, namely data mining in order to be able to solve existing problems. In data mining, a method is needed. In this study, the authors used the hash-based method to make it easier for the authors to find out drug sales patterns. Based on the application in data mining using the hash based method with the title Implementation of the Hash-Based Algorithm in Knowing Drug Sales Patterns so as to get frequent 3-itemset results consisting of (Mefenamic Acid, Astemizole, Bisakodil Supp), (Mefenamic Acid, Astemizole, Bromhexin) , (Paracetamol, Diflucortolen, Ekanazol), (Paracetamol, Diflucortolen, Bisacodil Supp), (Bromhexin, Astemizole, Mefenamic Acid), and (Mefenamic Acid, Bisacodil Supp, Astemizole) each address 3-itemsest has the same support count value that is 2.
Penerapan Algoritma Apriori Dalam Penentuan Tata Letak Buku Pada Perpustakaan Daerah

Information Technology at this time has developed rapidly throughout the world. Currently information technology can help facilitate all human work in managing information optimally in contrast to what was felt when the technology era was not as sophisticated as this. The library is a place established with the aim of being a place to collect printed and recorded knowledge. Inside it has several collections of books that have been arranged in such a way as possible by giving numbering according to the available book categories so that visitors can easily and correctly use them. In a number of borrowing activities that are very many every day, the library sometimes feels confused about telling which books to borrow because of the irregularity of the book layout, this is still considered not optimal because the library cannot know how often the book is borrowed or how often the book is borrowed. visitors who feel confused to look for books that are often borrowed. In the process of determining the layout of books at the Medan City Regional Library, 100 categories of books are used in book lending transactions for up to 30 or 31 days or for a month. This is done to find out the determination of the layout of the book according to the number of loan transactions at the Medan City regional library. Then we need a system that uses data mining, namely the a priori method. This method can assist in determining the pattern of determining the layout of books according to the needs of the regional library. The results obtained are: If you choose a book in the General Publication category, you also choose an Indonesian language book with a support value of 40% and a Confidence value of 75%, conversely if you choose a book in the Indonesian Language category, you borrow a book in the General Publication category with a support value of 40% and a Confidence value of 70%.
Implementasi Algoritma Clustring K-NN Pada Klasifikasi Siswa Berprestasi

Determining outstanding students in an educational institution is a decision made based on variables that are considered capable of determining student achievement. Therefore, in its determination, it is hoped that there will be minimal errors, so that qualified technology and techniques are needed. In determining the outstanding students, the K-NN (K-Nearest Neighbor) technique was used. K-NN is a classification technique that is able to handle an object with various patterns in a large number. This method will group the data obtained with neighboring data based on their distance. This method is often used because it is very simple and easy to understand. This research produced outstanding students at Islamic Imam Islamic boarding schools by looking at the variables used as benchmarks for students.