Reviewerly/exHarmony huggingface dataset:
Evaluasi Laporan Pelaksanaan Tugas Tenaga Pengajar BIPA Wilayah ASPASAF Masa Tugas 2015-2018

BIPA program is a program designed for foreigners to study the Indonesian language as well as the Indonesian culture. This study attempts to analyze the quality of the final report of BIPA teachers from 2015- 2018 in ASPASAF (Australia, Egypt, India, Japan, and Tunis). The author uses a descriptive qualitative research method to evaluate the 20 final reports of BIPA teachers based on the checklists. The instruments were adapted from the theories and the guidelines of BIPA reports made by PPSDK. The results of the study indicate that the quality of the teachers’ reports is already good, however, the reporting guidelines for the implementation of the BIPA teaching workforce need to be refined by adding the intercultural understanding concepts included in the report introduction section. Besides, to provide a good service, PPSDK should give an intercultural understanding for the teachers in special training. It is expected that this study will be significant to the field of intercultural communication and education in Indonesia. Keywords : BIPA, evaluation report, ASPASAF
[Development of a New Multi-parameter Sleep Quality Evaluation System].

In order to study the effects of sleep-disordered breathing on human physiology and function, and to accurately and objectively evaluate the level of human sleep quality at night, it can help patients with respiratory disorders improve sleep quality. This paper elaborates the development process of a new multi-parameter sleep quality evaluation system from the hardware circuit design, software and algorithm analysis design of the system. The system hardware platform collects the physiological signals of the 11-channel nighttime sleep period, and displays and stores them in real time on the monitoring platform. After collecting the sleep data of the whole night, it can effectively assist the sleep doctor to sleep by combining the judgment of the sleep-time respiratory disorder, the determination of the sleep cardiovascular event, the determination of the sleep-aware response event, and the sleep structure staging. The quality of sleep in patients with disorders was deeply evaluated.
Tingkat Tingkat Kematangan Sistem Informasi Manajemen Aset (SIMA) Institut Pertanian Bogor Versi Beta Menggunakan Cobit 4.1

Inadequate asset management in non-profit organizations, in this case, Higher Education (PT), will harm the value of the potential benefits that can be obtained from those assets. SIMA IPB is the application of Information Technology (IT) which is expected to be able to support the achievement of accountability in the environment of IPB. In this research, the maturity level analysis of SIMA IPB uses the Framework of Control for Information and Related Technology 4.1 (COBIT 4.1), which is one of the tools used to see existing IT governance. COBIT has four domains, namely Plan and Organization (PO), Acquisition and Implementation (AI), Delivery and Support (DS), and Monitoring and Evaluation (ME). The results of this study were carried out in the PO, AI, DS and ME framework domain based on the maturity level of the COBIT 4.1 framework illustrated in the spider chart. The results found that the level of IT maturity in SIMA IPB Beta Version at Level 4 (managed) with an average maturity index (PO, 3.66), (AI, 3.39), (DS, 3.59), (ME, 3.54), and the gap value (gap) with an average value of 0.84, for the PO domain at level 4 (managed), AI domain level 3 (defined), DS level 4 (managed) domain and ME level 4 (managed) domain. Keywords: COBIT, maturity level, SIMA, information technology
IMPLEMENTASI ALGORITMA NAIVE BAYES DAN RANDOM FOREST DALAM MEMPREDIKSI PRESTASI AKADEMIK MAHASISWA UNIVERSITAS ISLAM NEGERI AR-RANIRY BANDA ACEH

Academic achievement is determined by two factors, namely internal factors originating from within the individual in this case students and external factors that come from outside the individual or things that are influenced by the environment. There are many ways to find an academic achievement, one of which uses data mining which aims to predict or classify data using a classification algorithm. This study aims to 1) find out how to apply the Naive Bayes algorithm to student achievement, and 2) see the accuracy of the Naive Bayes algorithm to student achievement. This type of research is secondary data in the form of student data obtained from the information technology center and the Ar-Raniry UIN database. This research uses Naive Bayes algorithm and random forest algorithm. The results obtained from this study indicate the highest correlation value in the initial IP variable of r = 0.783 and the leave variable has a very weak correlation level of r = 0.054. The accuracy value of Naive Bayes algorithm after cleaning is 78.0% and Random Forest algorithm variable is 76.7%.
PENGARUH MODEL PROBLEM BASED LEARNING TERHADAP KEMAMPUAN LITERASI SAINS SISWA SMA

Previously, the literacy skill of students class XI at SMAN 1 Lembah Melintang Pasaman Barat Regency was still low. The students only memorized concepts and theories so that they were not able to implement the concepts in their life. The research aimed at investigating the effect of the application of the Problem Based Learning on students' literacy skill. This research have been used Randomized Control Group Posttest Only Design. The sample of this research was high school students in class XI taken using simple random sampling. The data were analyzed with Mann Whitney test. The result shows the increase of the students’ average literacy skill after being taught with Problem Based Learning in the affective, cognitive, and psychomotor domains. It can be concluded that the Problem Based Learning Model is effective on the students’ scientific literacy skill in class XI of SMAN 1 Lembah Melintang Pasaman Barat.
IMPLEMENTATION OF ANDROID APPLICATION TO SOLVE THE STUDENTS� PRONUNCIATION OF ENDING �ED

This research was done because of the students� problem of pronouncing ending �ed. To solve the problem, the researchers tried to implement the application on learning media in this gadget era. The purpose of the research is to improve the students� problem by implementing android application in pronouncing of ending �ed and to find the factors influencing the improvement. The method of this research was qualitative method. The research design was classroom action research of second-year-students in 2018/2019 academic year at STIBA (Foreign Language College) Persada Bunda Pekanbaru. The applications used were online and offline application English Pronunciation. The result showed that there is an improvement by implementing the android application of students� pronunciation of ending �ed. It can be seen that the increasing of the students� ability in pronouncing of ending �ed were at the level of �fairly good� category become the level of �good� category. Some factors influencing the students� ability in pronouncing endng �ed were they often practice and listen to the android applications whether online and offline English Pronunciation to obtain the understanding and the information how to pronounce the exact words� of ending �ed. To conclude, the implementation of android application of online and android based can improve the ability of students� pronunciation of pronouncing sound /t/, /d/, and /ɪd/ of ending �ed.
INTERPOLASI DATA BERDIMENSI d&gt;1 DENGAN FUNGSI BASIS RADIAL (RADIAL BASIS FUNCTION)

Radial Basis Function (RBF) is a method typically used to aproximate a function based on information data. A radial function is a real valued function whose depends only on the distance the data input and some fixed point ,called a centre point. Distance between some fixed point/centre and data input is usually Euclidean metric so that . Commonly types of Radial Basis Function using a to indicate a shape parameter to scale the input data of the radial centre. Since this method has been proven effective and flexsibel so that it has been widely used in engineering and science, so in this paper we will discuss how to use Radial basis Function to interpolate 2 dimension data. From the result of discussion it was found that this method was accurate to aproximate actual data or observation.
Psychological aspects of formation of ecologically relevant behavior of students of the faculty of agriculture

The article provides an analysis of studies showing the need for a psychological approach of meaning building and meaning regulation in the formation of an integral worldview, environmental values and environmentally relevant behavior of agriculture students. In conclusion, recommendations with suggestions on the use of theoretical foundations and methodological techniques of meaning for teaching students of the agricultural sector are presented.
Educational-methodological set for “I explore the world” course in the dimensions of competence-based education

The article reveals the role of the textbook as a universal teaching tool. The whole complex of learning tools is being developed and improved, which changes the function of the textbook, which is already considered as an element of a holistic system of learning tools. The presence of educational- methodological kit defines the role of the textbook as a system-forming kernel, a kind of metasystem, gives it a new purpose — to become a link between all components of the complex, to ensure their integrity and functionality of unified approaches to the implementation of the principles of competence-based approach. The criteria for selection of educational material according to certain criteria - scientific, systematic and frequency of consideration; the degree of necessity, relevance and availability in a given age range; harmonization of content, structure, scope with the objectives of the school subject; time allots for studying.
Cognitive Reading Strategies Employed by Form Three Malaysian English as Second Language (ESL) Students

Previous studies reported that many low proficiency students have poor comprehension skills. Therefore, this research aims to study the cognitive reading strategies employed by ESL (English as Second Language) students and suggest appropriate cognitive strategies to be utilized by low proficiency students. This research was carried out in one of the secondary schools in Pasir Gudang, Johor. The purposive sample for this study consists of 60 Form 3 students (30 low proficiency and 30 high proficiency). Explanatory sequential mixed method design was used to carry out this research. The data collected via questionnaire, observation and interview for this research is analysed quantitatively and qualitatively. Descriptive analysis was used to analyse data gained from questionnaire and observation whereas for the interview data, extracts from the interviews were used to corroborate the findings. The findings reveal that the most common cognitive reading strategies employed by both group of students are skimming and translation. This research further highlights the most significant difference in reading strategies between both groups of students, which is, the high proficiency group outperformed the low proficiency group in overall strategy use, demonstrating the most frequent use of the strategies. Most prominently, in this research, the reading strategies that are deemed appropriate for the low proficiency students are highlighted. These strategies include four cognitive strategies; guessing, elaboration, summarizing and prediction.
Is the Lottery Paradox Psychologically Realistic?

The lottery paradox is treated as a serious epistemological problem.Philosophers try to solve it by modifying their concepts of rationality.I argue that this is unnecessary.The paradox never occurs in reality, since a crucial assumption -that people accept that certain lottery tickets will not win --is refuted by cognitive science.We always exaggerate small probabilities, such as the possibility to win a lottery.Of course, at some point we lose faith in the chance.However, this lack of confidence is not based on a mature consideration of the ticket's chances --but a result of an exchange of questions, our desperate last attempt to form an answer.Hence the lottery paradox is a purely theoretical problem, parted from reality. 1The famous lottery paradox was formulated by Henry Kyburg 1 .It rests on three principles of rational acceptance: i.If it is likely that p, then it is rational to accept that p. ii.If it is rational to accept that p and it is rational to accept that q, then it is rational to accept that (p and q).iii.It is not rational to accept that (p and not-p).These principles all seem plausible.But imagine a fair lottery with a thousand tickets.Since the rules say so, it is likely --and thus rational to accept, by (i) --that one of the tickets will win.However, the chance that the first one will is only one permille, so it is rational to accept that it will lose.Likewise, it is rational to accept the loss of the second ticket.Actually, for each of the thousand lottery tickets, it is rational to accept that it will lose.All of these statements follow by (i).By (ii) we may add them all together.It is thus rational to accept that the first ticket will not win, the second ticket will not win and so on for 1 (Kyburg, 1961) every participating ticket.That is, (i) and (ii) imply that it is rational to accept that no ticket will win and that at least one of them will.However, (iii) tells us that it is not rational.This is the contradiction called the lottery paradox.Broadly speaking, there are three types of responses, each of which focuses on either of the rules (i), (ii) or (iii).Philosophers have dealt with (iii) 2 or (ii) 3 , but the common way to block the lottery paradox is to modify (i) 4 .However, ``[a]lthough there is a consensus... that one should deny that it is rational to accept that a ticket of the lottery loses, there is less agreement over why this should be so'' 5 .
Makine Öğrenmesi ile Sigorta Hasarlarında Sahtecilik Tespiti

Fraud has been rising recent years all over the world.Especially, increase of the internet usage and use of credit cards more increase to fraud cases as well.Much work has been done and measures have been taken in the banking sector to detect and prevent credit and credit card frauds.Similarly, counterfeit claims are also common in the insurance sector.It is seen that the insurance sector is a little more difficult to predict fake claims than the bank sector and the studies in this area are less.As computers' transaction volumes and speeds progress, human beings have started to use newer technologies in every area of their business.Nowadays, we are talking about the writing, learning and implementation of the algorithm by the program itself.Machine learning is an application of artificial intelligence and it achieves results by developing what it has learned.Machine learning has also started to be used in finance and insurance sector like it is used in many industry.Insured customer informations and claim informations are collected in the big data pool and reach serious dimensions over time.If this data is used and analyzed with correct machine learning algorithms, counterfeit claims can be estimated to a large extent.In this study, using the machine learning algorithms on the claim data set obtained from an insurance company, the predictive scores of the fraud cases of the claims will be compared.By running 7 different machine learning algorithms on the same data set with the same test and training rates, the accuracy rates and performances will be compared and the results will be shown.
Thangka image edge detection algorithm based on morphology and RCF

Thangka image includes rich content and complex texture. Because the contour of Thangka image contains abundant image data information, edge detection is very important in the analysis of Thangka image. The edge extracted by mathematical morphology method is smooth and continuous, but fuzzy and unclear phenomena exist in the detection of complex edges. CNN can be used to extract much high-level, multi-scale information [1]. Therefore, this paper proposed edge detection method to extract the original image edge by using the optimized mathematical morphology algorithm and the trained RCF network model [2]. Then, according to the decomposition and reconstruction principle of wavelet transform, the edge images obtained by the two methods are fused. Experiments show that compared with the traditional method, the fused image edges are more clear and continuous, the contour information removes the invalid detail texture, which is more in line with human visual cognition, and is more conducive to the follow-up study of Tangka image.
Sistem Informasi Pengolahan Data Penyelenggaraan Skripsi Mahasiswa Menggunakan Metode Waterfall (Studi Kasus IAIN Batusangkar)

To facilitate the processing of thesis management reports, reports assignments, minutes and attendance, an application is needed. Dealing with these needs, an analysis of the processing of student thesis data processing needs to be done so that results and requirements can be obtained for the application that is need. The analysis was carried out by analyzing the needs, users and facilities needed by the application. The result of this study was the data processing information system for organizing student thesis using the waterfall method. There are 5 stages that were carried out in order to obtain maximum results, namely Communication (Project Initiation &amp; Requirements Gathering), Planning (Estimating, Scheduling, Tracking), Modeling (Analysis &amp; Design), Construction (Code &amp; Test), and Deployment (Delivery, Support, Feedback). The finding showed that this application helps facilitate the processing of thesis implementation data and displays the information needed by Batusangkar State Islamic Institute users.
PENATALAKSANAAN RESTORASI KOMPOSIT KELAS IV DAN PASAK RICHMOND PASCA PERAWATAN SALURAN AKAR

A 22-year-old male patient came to the Unud Hospital with complaints of 2 upper front teeth fractured. The patient complains pain in his upper right first incisor when he consumes cold beverages. Patient’s upper left lateral incisor felt spontaneous pain at first and had already been treated by a dentist, but the patient did not know the type of treatment he was receiving. The tooth now has never felt pain. Patients are now treated with mesial-distal class IV composite restorations in the upper right first incisor and endodontic treatment in the upper left lateral incisor continued by Richmond post, core and crown (PFM) restoration. One week evaluation after treatment showed the desired result which is the loss of subjective and objective complaints of the patient.
Membangun Basis Pengetahuan Untuk Interaksi Obat Dengan Sosial Media

With many adults using social media to discuss health information, researchers have begun to dive into this resource to monitor or detect health conditions at the population level. Twitter, in particular, has grown to several hundred million users and can attend rich source of information for detecting serious medical conditions, such as adverse drug reactions (ADRs). However, Twitter too presents unique challenges due to brevity, lack of structure, and informal language. We crawled data from Twitter presenting 10,822 freely available tweets, which can be used to train automated tools to mine Twitter for ADR. We collect tweets using drug names as keywords, but expanding it by applying the Natural Language Processing (NLP) algorithm to produce misspelled versions of drug names for and drug interactions. We annotate each tweet for the presence of mentioning interactions, and for those who have, mention annotations. Agreement between our annotators for binary classification. We evaluate the usefulness of the dataset with machine learning algorithm training classes: using C.45..
Reading Intervention Practice: Effects of Print and E-Dictionary Use

This study investigated reading intervention method using print and e-dictionary. In particular, the study examined the effects of print and e-dictionary usage on reading habits and reading comprehension of form sixth students in Johor. Respondents were students with low/limited English proficiency (LEP) in their second semester of sixth form program. Using a mixed method approach, data was gathered quantitatively and qualitatively. Questionnaires were utilised to collect information on students’ reading habits and reading attitudes. Reading comprehension test results were obtained from the school MUET panel examination record. The quantitative data was analysed using the SPSS software while the participants’ reading comprehension test results were analysed using Excel program. The participants’ writing reflection constituted the qualitative data. Findings show that the use of e-dictionary and print dictionary during a reading intervention program affected the reading habits and attitudes of the participants to a certain extent. The use of e-dictionary and print dictionary while reading act as an important factor in assisting LEP students to be better readers. However, there was no significant relationship between the use of e-dictionary and print dictionary and reading comprehension score. Several recommendations on intervention strategies for future research are made from the findings of this study.
Computing with Formulas

In this chapter, we will go one step beyond the Hello, World! example of the first chapter, and introduce programming with mathematical formulas. Such formulas are essential parts of most programs written for scientific applications, and they are also useful for introducing the concept of variables, which is a fundamental part of all programming languages.
AutoBayes: Automated Inference via Bayesian Graph Exploration for Nuisance-Robust Biosignal Analysis.

Learning data representations that capture task-related features, but are invariant to nuisance variations remains a key challenge in machine learning, in particular for biosignal processing. We introduce an automated Bayesian inference framework, called AutoBayes, that explores different graphical models linking classifier, encoder, decoder, estimator and adversary network blocks to optimize nuisance-invariant machine learning pipelines. AutoBayes also enables justifying disentangled representation, which splits the latent variable into multiple pieces to impose different relation with subject/session-variation and task labels. We benchmark the framework on a series of physiological datasets, where we have access to subject and class labels during training, and provide analysis of its capability for subject transfer learning with/without variational modeling and adversarial training. The framework can be effectively utilized in semi-supervised multi-class classification, and reconstruction tasks for datasets in different domains as well.