Reviewerly/exHarmony huggingface dataset:
CPV Tahmininde Makine Öğrenme Yöntemlerinin Performanslarının Değerlendirilmesi: Farklı Bölgeler ve Parametreler ile Büyük Veri Uygulaması

Scopa: In the project, machine learning methods that can interpret health data have been applied specifically to Canine parvovirus infection. While CPV can be diagnosed based on clinical findings, it needs to be supported by laboratory findings to distinguish it from other infections. Correct diagnosis is vital to distinguish CPV from other infections with bloody diarrhoea, which can result in death in puppies. For this reason, by analysing the virus together with other data that may be affected by the virus, the methods of making the most accurate decision were compared and evaluated. Purpose: In this study, it was aimed to interpret CPV, which is considered to be one of the most important infectious agents of dogs, popularly known as mad-head disease, using K-NearestNeighbour (KNN), RandomForest (RF), Logistic Regression and NaiveBayes classification algorithms in terms of different parameters. When the total accuracy values were examined, the accuracy rates decreased in logistic regression and RF methods when the insignificant variable was removed in the model. Result: RF method made the best predictions when Platelets, Platelet (PLT) variable was in the model.In cases where we do not want to remove this variable from the model, it can give us very efficient results. KNN method gives better results when the number of variables decreases. Especially when the data size increases, it has been observed that the machine learning method gives more efficient results with better performance. Keywords: Big Data, Data Mining, Big Data in Health, Prediction Algorithms, Canine parvovirus (CPV)
Menulis Teks Eksplanasi Menggunakan Metode Quantum Learning di SDN Sindangrasa Kota Bogor

The purpose of this study was to determine the students ‘ writing ability in explanatory texts using the quantum learning method in fifth grade elementary school students. Sindangrasa Bogor City. This research will be carried out through 2 cycles. Each cycle consists of planning, implementation, observation and reflection. This technique uses data collection and observation through demontrations, and texts. The result of the first cycle is getting an average score of 37,60 or 60 % . Then the second cycle greatly improved by obtaining an average score of 48,90 or 85 % of the data in the first and second cycles showing an increase in student learning in writing explanatory texts. Student learning oucomes in the first cycle was 65,42 while the learning outcomes from the second cycle were 82,86 . So all student meet the increase and meet the KKM value. Student data obtained from cyclesI and II show an increase with the avarage score of student activity which is quite significant.
SISTEM SURAT-MENYURAT BERBASIS WEB DI KANTOR DESA BALE MUSARA

Mailing is one of the Web systems that is now widely used in modern administrative systems. The correspondence system is a system related to administration that virtually concentrates the components of an organization, where data, information, and communication are made through telecommunication media with the aim of building a system that is able to accommodate each element. This correspondence system is built using the SDLC (Software Development Life Cycle) method with the Waterfall Model software development technique. For the use of the correspondence system, a study was conducted entitled "Web-Based Correspondence System at the Bale Musara Village Office". This research uses quantitative research methods. The results of testing the Web-based Correspondence System are in accordance with the system proposed and expected by system users, especially for village operators and secretaries. Based on the research and creation of the system that has been carried out, there are several conclusions, namely the Making of a Correspondence Information System at the Bale Musara Village Office can be used to facilitate the work of village officials.
PENGUASAAN HURUF JEPANG DALAM MEMBACA TULISAN HIRAGANA PADA KELAS X JURUSAN USAHA PERJALANAN WISATA (UPW) DI SMK NEGERI 5 DENPASAR

This study was conducted to measure the extent of the ability of Vocational High School (Arts and Tourism) students to read one of the Japanese letters, namely Hiragana. The ability to read Hiragana is important to master to improve the competencies that exist in students in order to be able to compete in this increasingly dynamic world of tourism. This research was conducted at SMK Negeri 5 Denpasar in class X majoring in Travel Business Tours Class of 2022/2023. In this study, data collection techniques were used through the provision of tests by analyzing scores, percentages, and grouping result data between low, medium, and high. By using this technique, students can find out their ability to read Hiragana's writings.
Karakteristik Mutasi EGFR pada Pasien Kanker Paru Jenis Adenokarsinoma yang Diterapi dengan Tyrosien Kinase Inhibitor (TKI) di Rumah Sakit Paru Dr. H.A Rotinsulu Bandung

This descriptive study describes the proportion of Epidermal Growth Factor Receptor (EGFR) mutations in lung cancer Adenocarcinoma patients at Rumah Sakit Paru (RS Paru) Dr. H. A Rotinsulu Bandung in the range of 2018 to 2020. &#x0D; EGFR mutations were examined using RGQ thera screen technology Real"‘Time Polymerase Chain Reaction from FFPE or cytology smear.&#x0D; There are 44 data point mutations after examining the EGFR mutation. 59% cases were 40"‘60 years old group dan 52 % were female.&#x0D; It was found that in this group 86% patient with single mutation and 16% had doube mutations. EGFR mutations occurred in Exon 21 L858R in 13 cases (30 %), Exon 21 L861Q in 1 case (2%), Exon 19del in 24 cases (55%), double mutation Exon 19 and Exon 20 T790M type in 2 cases (4%), double mutation Exon 19del and Exon 21 in 4 cases (9%).
Pengembangan Sistem Peringatan Dini Cuaca Ekstrem Terintegrasi Berbasis Y-Model Webgis Development Methodology (Y-WDM)

The incidence of hydrometeorological disasters in Indonesia is in the largest percentage for the last 10 years. The development of an integrated extreme weather early warning system is one of the initial processes in a series of hydrometeorological disaster mitigation efforts. Data models, observation and remote sensing become the database in early warning of extreme weather, the officers who carry out early detection of hazards so that they have sufficient waiting time to prepare an effective emergency response plan. In this study, an early warning system was built by implementing the Y-Model WebGIS Development Methodology (YWDM) which is a combination of geographic information systems and web-based application development context. Spatial data processing is carried out using the python programming language, including radar and weather satellite data, surface observation, lightning detection, storm detection and identification, and nowcasting models. Web GIS visualization is built by using JavaScript and php programming language, database management managed using PostgreSQL. The results of the implementation are in the form of a SPACE (Spatial Based Extreme Weather Warning System) framework which Sidarma-Nowcast is a system within the framework. The development of this system shows an increase and the level of improvement in the process of producing and disseminating early warning information.
SISTEM INFORMASI IDM (INDEKS DESA MEMBANGUN) BERBASIS WEB DI DINAS PEMBERDAYAAN MASYARAKAT DAN DESA (PMD) KABUPATEN SUMENEP

Processing of IDM data (building village index) at the PMD service is still manual, so it still takes a lot of time and energy. This condition can increase the chances of errors in processing information and data. For this reason, it is necessary to design an information system as a substitute for amnual management, namely the IDM information system (building village index) to facilitate the work of employees in the relevant PMD service.In making this IDM application, several stages are needed in the manufacturing process, including: Data Collection, System Analysis, System Requirements, System Design, and System Development. In collecting data on the development of this IDM application, among others: the author directly visited the institution/agencies. Field studies include interviews and observations. Conducting an interview process with the agency (head of service) to obtain information about the actual situation, especially in the ongoing IDM data collection process.This research is carried out directly at the location to obtain actual information directly and can analyze the concept that will be made as a reference material for the design of an application that is needed by the institution / agency.Keywords: information system, thesis, IDM application, system design
Introduction

Abstract Bartz &amp; Bartz GmbH initiated the methods described in this book to achieve better results in hyperparameter tuning faster, with less effort and costs. Because, let’s face it, computational time entails a number of costs. First and foremost it entails the time of the researcher, furthermore a lot of energy. All this equals money. So if we manage to achieve better results in hyperparameter tuning in less time, everybody profits. On a larger scale the methods described may contribute a small part to address some of the challenges we face as a society.
Hyperparameter Tuning Approaches

Abstract This chapter provides a broad overview over the different hyperparameter tunings. It details the process of HPT, and discusses popular HPT approaches and difficulties. It focuses on surrogate optimization, because this is the most powerful approach. It introduces Sequential Parameter Optimization Toolbox (SPOT) as one typical surrogate method. SPOT is well established and maintained, open source, available on Comprehensive R Archive Network (CRAN), and catches mistakes. Because SPOT is open source and well documented, the human remains in the loop of decision-making. The introduction of SPOT is accompanied by detailed descriptions of the implementation and program code. This chapter particularly provides a deep insight in Kriging (aka Gaussian Process (GP) aka Bayesian Optimization (BO)) as a workhorse of this methodology. Thus it is very hands-on and practical.
Case Study IV: Tuned Reinforcement Learning (in Python)

Abstract Similar to the example in Chap. 10 , which considered tuning a Deep Neural Network (DNN), this chapter also deals with neural networks, but focuses on a different type of learning task: reinforcement learning. This increases the complexity, since any evaluation of the learning algorithm also involves the simulation of the respective environment. The learning algorithm is not just tuned with a static data set, but rather with dynamic feedback from the environment, in which an agent operates. The agent is controlled via the DNN. Also, the parameters of the reinforcement learning algorithm have to be considered in addition to the network parameters. Based on a simple example from the Keras documentation, we tune a DNN used for reinforcement learning of the inverse pendulum environment toy example. As a bonus, this chapter shows how the demonstrated tuning tools can be used to interface with and tune a learning algorithm that is implemented in Python .
Tuning: Methodology

Abstract This chapter lays the groundwork and presents an introduction to the process of tuning Machine Learning (ML) and Deep Learning (DL) hyperparameters and the respective methodology used in this book. The key elements such as the hyperparameter tuning process and measures of tunability and performance are defined. Practical considerations are presented and all the ingredients needed for successful hyperparameter tuning are explained. A special focus lies on how to prepare the data. This might be the most thorough overview presented yet.
Analysis of the effect of wind speed in increasing the COVID-19 cases in Jakarta v1

Background: COVID-19 remains public health problem around the world. It is possible the climate could affect the transmission of COVID-19.Wind is one of the climate factors besides temperature, humidity, and rainfall. This study aimed to describe spatial patterns andfind the correlation of wind speed (maximum and average) with the pattern of COVID-19 cases in Jakarta, Indonesia.Methods: The design of this study was an ecological study based on time and place to integrate geographic information systems and tested using statistical techniques. The data used were wind speed and weekly COVID-19 cases from March to September 2020. These records were obtained from the special coronavirus website of Jakarta Provincial Health Office and the Indonesian Meteorology, Climatology and Geophysics Agency.The data were analyzed by correlation, graphic/time trend, and spatial analysis.
Career Development Center Berbasis Social Media Menggunakan Algoritma Gale-Shapley dan Framework Codeigniter

Banyaknya perusahaan yang berminat mencari tenaga kerja dari mahasiswa maupun alumni sebuah Perguruan Tinggi, terutama pada mahasiswa dan alumni yang memang memiliki keahlian khusus untuk mengisi posisi pada lowongan yang disediakan oleh perusahaan tersebut. Namun, apabila suatu Perguruan Tinggi tertentu belum memiliki sistem yang dapat menangani permasalahan itu. Informasi lowongan yang masuk ke pihak administrasi pun hanya akan ditempelkan di dinding pengumuman yang dirasa belum cukup untuk memberitahukan kepada mahasiswa dan alumni pencari kerja. Proses metodologi penelitian yang digunakan dalam pembuatan penelitian ini adalah dengan menggunakan metode SDLC (Software Development Life Cycle) dengan model Prototipe. Desain pemodelan menggunakan UML (Unified Modelling Language) yang diimplementasikan menggunakan Algoritma Gale-Shapley dan Framework Codeigniter dengan tools IDE Netbeans 7.4. Hasil aplikasi yang dirancang memiliki fungsi utama sebagai situs jejaring sosial pencarian kerja. Aplikasi ini dapat membantu mahasiswa menemukan lowongan yang cocok dengan keahlian yang dimiliki menggunakan fasilitas rekomendasi lowongan sedangkan perusahaan dapat lebih mudah mencari calon tenaga kerja dengan fasilitas rekomendasi calon pekerja. Aplikasi ini juga memudahkan mahasiswa dan perusahaan untuk berinteraksi secara langsung baik dengan saling berkirim pesan ataupun saling berkirim catatan. AbstractThe number of companies that are interested in seeking employment from students and alumni of a university, especially students and alumni who do have special skills to fill positions in the vacancies provided by the company. However, if a certain university does not yet have a system that can handle the problem. Information on vacancies that enter the administration will only be posted on the announcement wall which is deemed insufficient to inform students and alumni of job seekers. The research methodology process used in the making of this research is to use the SDLC (Software Development Life Cycle) method with the prototype model. The modeling design uses UML (Unified Modeling Language) which is implemented using the Gale-Shapley Algorithm and Codeigniter Framework with Netbeans 7.4 IDE tools. The results of the designed application have the main function as a job search social networking site. This application can help students find vacancies that match their expertise using the vacancy recommendation facility, while companies can more easily find prospective workers with the facility for recommending prospective workers. This application also makes it easier for students and companies to interact directly, either by sending messages to each other or sending notes to each other.
PREDICTION MODEL FOR TIDAL FLOOD CONTROL USING ONE-WAY COUPLING SCHEME IN PONTIANAK, WEST KALIMANTAN

Tidal flood prediction is an important part of action plans in disaster mitigation. The lack of information about the time, duration and location of potential events in the pre-disaster stage, can lead to greater damage and losses. This study aims to fill the pre-disaster information gap by designing a short-term prediction system for tidal flood in the Pontianak City using one-way coupling model scheme. The scheme collaborates weather prediction model (WRF-ARF), hydrodynamic model (DELFT3D), and hydraulic model (HEC-RAS). The validation of the flood prediction map using the contingency table method by 67 survey points, indicates a good accuracy with a Hanssen-Kuipper Skill score = 0.77 – 0.91. Furthermore, based on the simulation, it was found that the potential for flood areas in Pontianak is around 15.10% - 16,03% of the city area. Hence, this area should be the focus for the local government to take preventive action to reduce the potential disasters in the future. Generally, this study has succeeded in integrating models in various dynamic aspects to predict tidal flood and the model framework can be recommended in tidal flood early warning systems.Keywords: Prediction; Tidal Flood; WRF-ARW; DELFT3D; HEC-RAS 2D; Pontianak
Special issue. Higher education: a Fundamental intangible capital towards a sustainable future

Education has become an intangible capital of vital importance in a changing context due to increasing complexity, uncertainty, accelerating globalisation and competitive rivalry. Likewise, the 2030 Agenda for Sustainable Development includes as one of its core goals (SDG 4) to "ensure inclusive and equitable quality education and promote lifelong learning opportunities for all". To this end, it focuses on the need to acquire a set of crucial transversal competencies applicable to different contexts and purposes throughout life, including not only formal (primary, secondary, University) but also non-formal education.Focusing on higher education, this special issue addresses in a multidisciplinary way the different theoretical and empirical approaches that bring together innovative topics such as teaching innovation, graduates and job expectations, competence acquisition, digitisation and technologies. The first three articles develop the importance of acquiring sustainable and intangible knowledge based on the acquisition of skills that helps students adapt to a changing and uncertain future of work while understanding and cooperating with their social environment to promote greater social justice. The last two articles are a clear example of the progress made in learning methodologies and the application of Technology to improve the academic performance of university students.
Student Languages In Discussion Text In Vocational School (SMK)

Discussion activities can be an effort to improve students' speaking skills in expressing opinions, ideas in discussion. Discussions at school can run well if you stick to the rules of speaking in the principle of politeness. The principle of politeness consists of six maxims, namely the maxim of wisdom, the maxim of humility, the maxim of praise, the maxim of generosity, the maxim of agreement, the maxim of sympathy. This study aims to find and describe the principles of politeness used by students when learning is taking place as well as interactions among students and the implications of politeness principles at school. The data source of this research is the conversations between students in discussions and with teachers at SMK. By using the Leech politeness theory. Data collection techniques using recording and transcription techniques. The type of research used is descriptive method with a qualitative approach. The subjects of this study were students of class XI SMK in Indonesian subjects. The results of this study indicate that there is a violation of the politeness principle, namely 66 utterances and there are also 75 obedience to the politeness principle. The implication for learning Indonesian, namely the principle of politeness is the main requirement to be polite in speaking. The contribution to the school by applying the principle of politeness to all subjects can shape the character of students in speaking skills.
The Effect Of Digital Literature Ability On Academic Resilience Through Student Self-Efficiency

The rapid development of digital technology in the current era of the industrial revolution 4.0, has made digital technology the basis or basis in human life, including in the field of education in Indonesia. This study aims to analyze the effect of digital literacy ability on students' academic resilience both directly and through student self-efficacy in the Depok City area. This study uses a quantitative approach with a path analysis approach. The population is all students studying in Depok City with a sample of 410 students taken by random sampling. The results showed that the direct influence of digital literacy ability on academic resilience was 0.220, the value of sig. 0.000, the effect of self-efficacy on academic resilience is 0.448, sig. 0.000. the indirect effect of digital literacy ability on academic resilience through self-efficacy is 0.099. The conclusion is that digital literacy ability have a direct positive and significant effect on student academic resilience, the role of self-efficacy in mediating the effect of digital literacy ability on students’ academic resilience is included in the category of partial mediation.
Design of Mobile-Based Geographic Information System Potential of Agricultural Land in Sub-District Completed

Communication The rapid development of information technology provides tremendous benefits to the community. For this reason, an application is needed to make it easier for people to get information. Various techniques, methods, and new approaches are implemented to improve and develop technology in an effort to obtain fast, precise, and accurate geographic information. A system must have the ability so that the system can be said to be useful for its users. A GIS must have at least four capabilities, namely the ability to manipulate attributes, and the ability to display input and output using images. Mobile applications have a user interface with a unique interaction mechanism provided by the mobile platform. Mobile applications have also been specifically designed for mobile platforms (eg IOS, Android, or Windows Mobile).
Clustering of Customer Complaints from PDAM Kota Binjai Using the K-Means Method

PDAM Tirtasari Binjai City is a public service institution that has a monopoly on water supply in Binjai City. The predicate as a metropolitan city, illustrates that Binjai City is a city with dense industry and trade. In this study, discusses how to handle customer complaints of PDAM Binjai City to provide satisfaction to customers. The research method used in this study is K-Means which aims to describe the quality of service for handling customer complaints at PDAM Kota Binjai in increasing customer satisfaction. The informant determination technique carried out by the researcher is using the Clustering K-Means method.