Reviewerly/exHarmony huggingface dataset:
A study on credit strategy for small and medium-sized enterprises based on hierarchical analysis

Micro, small and medium-sized enterprises (MSMEs) are enterprises with relatively small staff size and operation scale, which are important subjects for enhancing employment and scientific and technological innovation in China, as well as an important part of China's real economy, and play an irreplaceable role in promoting economic growth and social prosperity. This paper mainly provides research solutions to solve the credit decision problems of banks for MSMEs through quantitative analysis of credit risks of MSMEs, combined with the realistic basis for banks to pursue profit maximization and risk minimization. This paper selects some enterprise data as the research sample, pre-processes the original data, and then selects six indicators to quantify the risk: input invoice efficiency, output invoice efficiency, credit rating, total invoices, total price and tax, and average profit. Based on this, this paper uses AHP hierarchical analysis to calculate index weights of 0.0664, 0.115, 0.0755, 0.1067, 0.2899, and 0.3465, respectively, to weight the indicators of each enterprise to sum up the enterprise's reputation score. Then we derive the enterprise's compliance rate from the scores and build the optimal credit decision model accordingly. Finally, we use the greedy algorithm to solve for the final strategy.
Comparison of Two Laboratory-Oriented Subjects in Terms of Face-to-Face and on-Line Form of Education

Abstract The article is focused on presenting the method of online teaching of two subjects: CAQ and Metrology and Quality of Technological Processes, which are implemented in the summer semester on Bachelor’s study degree. The teaching was to be implemented in such a way that there was interaction with the students, and, at the same time, we also had to prepare the protocols later elaborated by students. The article will compare the face-to-face method of teaching, its methods as well as the evaluation of the two subjects, with the online method of teaching. Two subjects focused on the control and measurement of dimensions will be compared, but with different ways of implementing the exercises during the online process. Both subjects used laboratories to process them. The result is a relatively comparable success in both subjects.
Online Seminars on Thermal Analysis at the Institute of Materials

Abstract This contribution describes the online teaching process of selected thermal analysis techniques, which are performed within the subject of “Methods in Research of Material Structure and Properties”. It deals with some aspects of both, attendance, face-to-face method of study, and distant online study during the pandemic situation in Slovakia. Although online learning has undoubtedly some advantages, it should be employed only when not impeding the development of practical, experimental skills in a particular branch.
PERTUMBUHAN DAN KELANGSUNGAN HIDUP UDANG VANAME SECARA INTENSIF DENGAN PADAT TEBAR BERBEDA

The purpose of this study was to analyze the differences in stocking density on the growth and survivel rate of whiteleg shrimp.This research was conducted during DOC 80 with a density of X1 200 individuals/m2, X2 300 individuals/m2, and X3 150 individuals/m2.Growth data collection is carried out every 10 days.The data analysis method used is descriptive quantitative.The results of the research on treatment X1, X2, X3 experienced an increase in weight growth from DOC 30 to DOC 80. X1 showed a higher growth rate compared to X2 and X3.Similarly, the survival rate of shrimp at X1 was higher than in X2 and X3.It is assumed that the population number can affect the growth and survival of shrimp.Therefore, in shrimp farming, it is necessary to have careful consideration and calculation in determining the amount of stocking density.
Buku Prestasi Santri berbasis Digital menggunakan Prinsip Postel

Recording students' learning activities at Quran Education Institute is still done manually, but reporting to the government (Kemenag) has gone through an online system. Teachers sometimes have to input data from the printed version into the digital system, increasing their burden. This research aims to create a Graphical User Interface (GUI) digital achievement book that will make it simpler for teachers to track the development and activities of their students' learning. In this study, the User-Centered Design (UCD) process was used, which included understand the context of use, specify user requirements, produce design solutions, and evaluate against requirements. Data was gathered by questionnaires and interviews and then analyzed using descriptive techniques. Postel principles apply in this Graphical User Interface (GUI) design to simplify input variations into interface elements. The study produces a GUI design of digital achievement books (SimpelQu) to make it easier for teachers to input information on Iqra learning (volumes, pages, reading descriptions and reading status). The System Usability Scale (SUS) technique was used to evaluate this design on five teachers to assess GUI usability. The SUS test yielded an average final score of 75, indicating its design has acceptable usability and is appropriate for assisting teachers.
Evaluasi Hasil Pembelajaran Ejaan Bahasa Indonesia Sesuai EYD dan KBBI dengan Adopsi Teknologi

The average writing ability of SMPN 1 Yogyakarta students needs to be improved in terms of the Enhanced Spelling of the Indonesian Language (Indonesian: Ejaan Bahasa Indonesia yang Disempurnakan, EYD) and the Kamus Besar Bahasa Indonesia (KBBI). Therefore, the learning process is carried out with a practical approach using technology adoption (the cek-ejaan.com system and teaching videos). The purpose of this study is to evaluate the learning outcomes of Indonesian spelling according to EYD and KBBI with the adoption of technology, so that it can be determined whether the use of technology helps students improve their abilities. The subjects of this study were eighth-grade students at SMPN 1 Yogyakarta. This study is both qualitative (essay analysis) and quantitative. The data collected is in the form of pretest and posttest answers submitted by students via Google Forms. The pretest and posttest data were corrected, processed, analyzed, and visualized. The results showed that at all stages, the majority of students improved their scores (pretest posttest), and the average posttest score was higher than the pretest average score. Therefore, it can be concluded that there is an increase in students' abilities after the learning process (even though it is fully online), and technology adoption plays an important role in this process.
Pemerolehan Bahasa Kedua (B2) Murid Sekolah Rendah Luar Bandar di Perlis

This research aims to identify the level of second languags acquisition (B2) of rural primary school students in the state of Perlis. Then, applying the Theory of Behaviorisme B.F. Skinner who applied positive and negative reinforcement in language learning. Next, the research items used are five posters related to food and kitchen equipment. The findings of the study show that rural students quite weak mastery B2 vocabulary in the language acquisition test conducted. Nevertheless, the use of posters has helped them acquire B2 to be better. Therefore, B2, learning for rural student requires the use of interesting teaching aids such as picture posters.
ViMoIS: The Student Violation Point Monitoring Information System

Although the rules have been enforced, children's behavior in schools often cannot be monitored by parents even when children commit violations. This is because the school has not implemented information system technology for parents to track violations committed by their children in the school. The purpose of this study is to build a violation point information system (ViMoIS) for students so that their recording can be done digitally and can be monitored by parents. The location of study was conducted in one of the High Schools in Gresik. The data collection technique uses the Focus Group Discussion (FGD) method. The model used to build this system is waterfall starting with three stages of that is, analysis, design, and testing. The results of the study were in the form of a Web-Based Student Violation Point Monitoring Information System (ViMoIS). Based on the results of black box testing that all components in this system run smoothly (success). The existence of a ViMoIS is expected to modernize the process of recording student budgeting so that old people can monitor their children's behavior in schools.
The Potential Contribution of General and Specialized Corpora to Research on Malay and Malaysian English

Today’s linguists are increasingly concerned with high-level properties of texts, and tend to work top-down in some branch of discourse analysis, while corpus linguists are concerned with low-level properties such as grammatical class, syntactic constructions and different kinds of text annotation, and tend to work bottom-up. This paper seeks to close the gap, using a general corpus and a specialised corpus. The point of departure is the assumption that a corpus is compiled to study the language of texts in some language for some special purpose beyond the existence of the corpus itself. The particular languages in mind are Malay and Malaysian English. The introduction deals with matters that have to be considered when a corpus project is planned, and with the problems that can arise, some of which have been reported. The methodology section concentrates on the groundwork that has to be done for just about any corpus-based project, and starts with a project undertaken long before computers were invented, and describes the role of computational expertise in modern corpus-based projects. The results section reports some preliminary work on a specialised corpus containing the speeches of Tun Mahathir Mohamed, which attempts to go beyond the groundwork to ascertain objectively what the speeches are about. The paper ends with a combined discussion and conclusion that summarises the content of the paper.
Sistem Pendukung Keputusan Penentuan Kelayakan Penangguhan Kredit Nasabah menggunakan Naïve Bayes

The COVID-19 (Corona Virus Disease 2019) pandemic is still spreading until 2022, so in responding to this, PT Adira Finance provides an opportunity to suspend credit installment payments to nasakabah. In order not to cause installments and defaults (breaking promises) it is necessary to have a decision support system to determine the creditworthiness of these customers. The purpose of this study is to build a decision support system to determine the feasibility of solicitation to customers using the naïve bayes method. The model used to build this system is the System Development Life Cycle (SDLC) with stages of analysis, design, testing, and implementation. The sample or training data used in this study was 20 customers. Meanwhile, the technique used to determine the feasibility of customer suspension uses naïve bayes by looking at the prior and conditional probability values of each criteria. Our findings result in a customer eligibility decision support system with the naïve bayes method is appropriate and accurate. So that with this system, it can be used as a consideration to make decisions by the manager of PT Adira Finance to determine whether or not customers are eligible to receive a credit suspension.
Rancang Bangun Pendeteksi Penyakit Jantung menggunakan Teknik Algoritma Fuzzy Logic berbasis IoT

Heart rate is a health indicator that has the advantage of assessing or knowing a person's health quickly. It is useful as the first diagnosis of the presence or absence of heart disorders. By building an IoT (Internet of Things) based heart rate monitoring system, it is hoped that it can be monitored, and through Android can check the heart rate. An IoT system is an idea that can expand and utilize a relationship that is connected continuously. Where IoT can monitor a person's condition so that a person's condition remains monitored 24 hours. This study aims to design a heart disease detector using an iot-based fuzzy logic algorithm technique. The method used to design this tool is the waterfall method. In the design of an IoT-based heart rate tool, it can directly find out the heart rate experienced by high, low, or normal and automatically there are already recommendations for exercise and food according to the heart rate. Testing this tool uses hardware consisting of a max30100 sensor, nodeMCU, and an android application as an interface. The results of this study show that the tool created has an error percentage between 0.1% to 6.2%, and all data from the heart rate tool results are directly sent to the Android application in real-time based on the available Internet network connection.
Sistem Peramalan Permintaan Darah dengan Metode Simple Moving Average

Simple Moving Average (SMA) is a method used to forecast a state of affairs in the next period. This method is applied to determine the number of blood requests in PMI in the Asahan Regency area. Blood stock is an important factor to support activities in this PMI organization by paying attention to the condition of this month /period and predicting the next period. The purpose of this study is to build a blood demand forecasting system with the SMA method. The model used to build this system is a waterfall with stages of analysis, design, implementation and testing. The data we use for this forecasting is the demand for blood from July 2021 to June 2022. Data analysis used the SMA method to determine the rate of prediction errors in this system, while testing this system used a black box. The results of our products are in the form of a web consisting of the login menu, the main menu, the calculation results. The calculation results using the SMA method in our system are appropriate, and can display the number of blood demand stocks in each period. The results of testing the system using black box show that this system is running properly without any errors, and it is working properly. Therefore, the existence of this system can help pmi to determine the number of requests based on blood type.
Sistem Informasi Alih Kredit Mata Kuliah (SIAKSI) untuk Mahasiswa berbasis Web

Currently, the Open University Information Systems study program has developed a credit transfer application but it is not optimal. Administrators and assessing lecturers must manually input student credit transfer applications and students cannot monitor the credit transfer application process. The purpose of this study is to create an information system for transferring course credits for students so as to overcome problems in current business processes. The software development method uses Waterfall which consists of needs analysis, design, coding and testing. The analysis stage uses the PIECES method which examines aspects of performance, information, economy, security, efficiency and customer service. The business process design is depicted using the Use Case and Activity Diagrams, while the system testing uses Black Box. Our findings are in the form of an information system that can help the academic process to transfer course credits. In addition, the results of blackbox testing, all components in this system have run well according to the previously built design. Therefore, the existence of this system can help the campus to record students who will be about credits in the courses they take
Network Forensic Serangan DoS pada Jaringan Cloud berdasarkan Generic Framework for Network Forensics (GFNF)

The attacks on cloud-based networks have increased and could lead to various disadvantages such as the inaccessibility of services until the loss of user’s trust. Owncloud is one cloud implementation that runs on a network with more than 200 million users. The aims of these researches are to find digital evidence from DoS attacks. Some DoS attacks are SSH brute force, SYN flood, ping of death, and port scanning on the Owncloud network and then finding the digital evidence such as the attacker's IP, time occurred of the attack, types of the attack, also the resource usage of CPU and RAM. This research uses Wireshark and Snort tools to analyze the network and the method of Generic Framework for Network Forensic (GFNF) as a framework during the simulation process until performing the evidence. The simulation was carried out for 1 minute with 30 trials for each attack. The results of this study found the attacker’s IP, time of the attack occurred, types of attack, and also the increase of the resource usage on CPU and RAM when an attack occurred. The found of results digital evidence such as the attacker's IP, the time occurred of attack, and the types of attack were visualized as a table and presented on the ELK Stack dashboard.
Forward Chaining: Metode untuk Mengembangkan Sistem Prediksi Penyakit Gigi dan Mulut

Handling dental and oral diseases require knowledge, techniques, and experts so that the disease can be handled properly. However, the lack of a team of experts and the lack of public knowledge about this disease, a system is needed that can prevent and overcome the symptoms of the disease. This study aims to apply forward chaining as a method to develop a prediction system for dental and oral diseases. The method used in this study is forward chaining and the model used is the waterfall with stages of analysis, system design, application, integration testing, operation maintenance. This study carried out data processing from the clinic. The data is then processed data. Based on the results of black box testing involving patients, and the community directly, the function in this system is already Use of this system can provide convenience for the community, and patients in diagnosing dental and oral diseases.
Penerapan Algoritma K-Nearest Neighbor dengan Euclidean Distance untuk Menentukan Kelompok Uang Kuliah Tunggal Mahasiswa

Single tuition fee or called UKT is the amount of tuition fee determined based on the student's economic ability. In its application, there are still many students who object to the UKT group that is obtained. Therefore, the university must apply the right and accurate method in determined the UKT group. This study aims to obtain the result of student’s UKT group classification using the K-Nearest Neighbor (KNN) algorithm with Euclidean Distance calculation and determine the accuracy of the algorithm with the optimal k value. This study used a quantitative method with a descriptive approach. The data collection techniques used are interviews, literature study, and documentation. The data that has been collected is 1,650 student’s UKT verification data for 2019-2021 which be processed with data mining using the RStudio software. The results showed that the classification with KNN can be applied in determined student’s UKT. With data testing many as 320 students, 23 students were determined to get UKT I, 149 UKT II, 129 UKT III, 32 UKT IV, and 2 students got UKT V. The accuracy of the algorithm is 87.58% in the Good Classification category. The optimal k for KNN obtained with K-Fold Cross Validation is k=1.
Penerapan Metode Forward Chaining pada Sistem Pakar Pendeteksi Awal Omicron

Omicron is a type of virus that is again spreading in Asahan Regency, especially at the Sidodadi Health Center due to. Many people do not pay attention to the disorder and the causes and symptoms that occur in the virus. To overcome this, it is necessary to have the technology to detect the initial symptoms of this virus. The purpose of this study was to create an expert system to detect the initial symptoms of omicron using the forward chaining method. This stage of research consists of analysis, design, implementation, and testing. The data collection techniques used are observations and interviews. Meanwhile, this system uses six cases as a reference to detect omicron symptoms, namely confirmed, probable, severe category, moderate category, mild category, and asymptomatic. Before this system is used, system testing of all functions on components using a black box is carried out. Our findings resulted in an expert system of early symptom detection of omicron that can display the results of patient diagnoses such as symptoms, cases, and solutions. The test results show that all components such as buttons, text inputs, and outputs are working properly according to the procedure. So that this system can be used by the health Center to help detect the initial symptoms of omicron that occur in patients, and can provide the best solution for patients treated at this health center.
DEVELOPMENT OF BATIK TULIS MODULE FOR ELEMENTARY SCHOOL TEACHER CANDIDATES

This research is motivated by the difficulties of students in preparing and making written batik. So, the authors developed a complete module of written batik material for students, especially the PGSD department. This study aims to determine the steps for developing a written batik module for PGSD students and to determine the quality test by experts on the written batik module for PGSD students. The type of research that will be used is research development or Research and Development with the Borg and Gall model in Sugiyono. The types of data that will be used are quantitative data and qualitative data. The data collection technique will be carried out by the process of assessing product design by experts such as learning experts, material experts, linguists, and media experts. In addition, the authors will collect other data from the unstructured interview process as a needs analysis for UAD PGSD students, especially those who take similarity courses at UAD in the 2019/2020 academic year. The result of this research is that the development step is carried out in 5 stages according to Borh and Gall because of the limited time of the research by testing the quality of the experts' assessment of the written batik module for PGSD students, the total value of 275, 09 and the average number is 91.7. These results indicate that the written batik module for PGSD students that has been developed meets the "Very Appropriate" category.
One teacher one book literacy program in elementary schools

Literacy is very important for learners and affects their success in terms of learning and living. The purpose of this study is to explore the implementation, obstacles, and solutions in the implementation of the one-teacher-one-book literacy program at SD Negeri 1 Kuripan, Grobogan. This research uses a qualitative approach with a case study research design. The data collection techniques used are interviews and documentation. Data analysis techniques are carried out with three procedures, namely data reduction, data presentation, and drawing conclusions. The results of the data analysis show that the implementation of the one-teacher-one-book literacy movement program in elementary schools is carried out by principals, teachers, and students with the main target being teachers. The implementation of the one-teacher-one-book literacy movement program in Grobogan District in 2020 was carried out by participating in a one-teacher-one-book movement training at the Kriyad Grand Master Hotel for 2 days which has been held by the local education office in collaboration with the Grobogan Writers Teachers Association (AGPG) and Media Teachers. Teachers can work on their work in between each teacher's free time. Teachers can print their own work into one book or combine their work with other teachers and then make it into one book. The obstacles encountered in the implementation of the literacy movement program for one-book teachers in elementary schools include constraints on the availability of funds and also time. The establishment of a literacy community is a solution to overcoming the obstacles that occur in the implementation of literacy programs to help teachers' self-development through activities with the community, such as joint book reviews, joint discussions, and exchange of information