Reviewerly/exHarmony huggingface dataset:
PSYCHOLOGICAL FEATURES OF DEVELOPMENT OF CREATIVE ABILITIES BY MEANS OF NEW INFORMATION TECHNOLOGIES OF TEACHING IN YOUTH

This paper examines theoretical approaches to the study of the problem of the development of creative abilities in adolescence. The article clarifies the content of the concept of "creativity", investigates the influence of the psychological concept of problem learning on the development of creativity in students, presents the results of empirical research, considers the possibility of using new information technology training to develop creative abilities. To study the manifestations of creativity in problematic learning, students were offered problematic situations in psychological disciplines, a test of creativity Torrens. According to the results of empirical research, it was determined that only a small number of investigated problems of creativity were fixed in solving problematic problems. In the formation of creativity, an important role is played by the use of modern information technologies of education, taking into account the psychological principles of problematic learning, which develops students' cognitive independence and creative approach to business. The paper shows that the percentage of creativity has increased significantly, traditional education is not able to contribute to the development of students 'creative abilities, the use of the psychological concept of problematic learning contributes to the development of creative abilities and increase the efficiency of students' learning activities. These changes in the educational process contribute to the formation of a creative, active specialist who is able to independently acquire knowledge, improve their skills, creatively manage their activities. Key words: creativity, creativity, youth, problem learning, modern information technology training. Accepted : 30.11.201 9 Reviewed : 04.12.2019 Published : 19.12.2019 DOI: http://doi.org/10.31108/3.2019.3.4.1 * * * * * Download/read PDF
Audit Energi Listrik pada Hotel Sotis Kupang

Abstract— The Energy Audit is an assessment of energy consumption and the identification of energy savings, as well as recommendations to increase the efficiency of energy consumption and use of energy sources in the context of energy saving.&#x0D; This study aims to describe the testing of electrical energy in the rooms of the Sotis Kupang Hotel from the 2nd (second) to the 6th (sixth) floor, taking samples of 7 (seven) different room types and carried out a test of electrical energy in relation to the use of lamps and air conditioning. The method used in this study is data collection, survey, observation and direct measurement of the use of light and AC (air conditioning). The data analysis technique used is to determine the estimated value of the electrical energy consumption and the value of the energy consumption intensity (IKE).&#x0D; The calculation and analysis show the value of IKE is 30.96 kWh / m2/ year, which is categorized as "very efficient". The IKE value for the use of AC (air conditioning) is 206.33 kWh / m2/ year and which is categories as "somewhat wasteful". The calculation of the PHE (energy savings) results in a PHE for the use of AC of 172.88 kWh / m2/ year, which falls into the category of "fairly efficient.
Learning to Generate Ambiguous Sequences

In this paper, we experiment with methods for obtaining binary sequences with a random probability mass function and with low autocorrelation and use it to generate ambiguous outcomes. Outputs from a neural network are mixed and shuffled, resulting in binary sequences whose probability mass function is non-convergent, constantly moving and changing. Empirical comparison with algorithms that generate ambiguity shows that the sequences generated by the proposed method have a significantly lower serial dependence. Therefore, the method is useful in scenarios where observes can see and record the outcome of each draw sequentially, by hindering the ability to make useful statistical inferences.
THE SUCCESS ANALYSIS OF IMPLEMENTATION OF THE ELECTRONIC SYSTEM INTEGRATED FINAL PROJECT OF JAMBI UNIVERSITY STUDENTS WITH DELONE AND MCLEAN MODEL APPROACH

The purpose of this research was able to prove empirically about the Delone and Mclean Models for the evaluation of ELISTA information systems at Jambi University. In addition, this research was also expected to provide feedback to improve the efficiency and effectiveness of the implementation of information systems and can be known the factors that cause the success or failure of the implementation of an information system so that the results of this study can be used as a strategic guideline model for information system development in the university and other institutions. The type of data used in this study was primary data obtained directly from respondents using a list of statements in the form of a questionnaire. Final year students who write the thesis are targeted in this study. To calculate the determination of the number of samples, the sampling method used the Hair method. The total sample of this study was 220 people. Methodology Data analysis was carried out using SEM techniques using SmartPLS tools. The findings in this study found that the system quality does not affect the user satisfaction, while other hypotheses such as information quality, service quality, system use affect user satisfaction, for system quality, information quality, and service quality affect the system use. Likewise the system use affects user satisfaction and system use, user satisfaction has an influence on net benefits.
Fusion of motif co-occurrence matrix and local binary pattern based on intuitionistic fuzzy set for texture classification

Texture classification plays an important role in computer vision and has a wide variety of applications.Based on intuitionistic fuzzy set (IFS) theory, this paper proposes a novel feature descriptor for texture classification by the fusion of motif co-occurrence matrix (MCM) and local binary pattern (LBP), namely IFS-MCMLBP.In this way, IFS is used to model vagueness or uncertainty, and the MCM method for extracting microtexture information, whilst the LBP method plays the role of a global feature.Intensive experiments conducted on many texture benchmarks such as CUReT, Outex, Brodatz and VisTex.The results show that the IFS-MCMLBP method can be remarkably superior to existing texture classification methods such as, LBP, GLCM, LTP, LDiP, LDeP and LTrP.
Microcontroller based in vitro hematocrit measurement system

&lt;span&gt;The hematocrit (HCT) is the most important measurement in the blood profile. It has been used for early diagnose of the specific blood diseases such as anaemia, leukaemia and malaria. The microhematocrit is the conventional method of measurement of HCT manually which is time-consuming and uncertain due to human error. An automated system for measuring hematocrit will minimize the human-error and the time which will give the ability for medical staff to serve more patients. This paper aims to demonstrate an automated system for measuring the HCT based on microcontroller. The designed system based on Arduino Atmega 2560 microcontroller and combination array of lighting emitting diode and photodetectors. The transmission and the absorption characteristics of the red light (660nm) through the centrifuged blood sample in a capillary tube are calculated and used to determine the HCT. The outputs are analyzed to determine the haemoglobin (HB) and packed cell volume (PCV). The significant correlation (r=0.9856, p=3.106*10-4) between the PCV readings of the proposed system and the conventional method has been observed. The most important finding is the precise of PCV and HB readings for the proposed system compared with previous automated methods as well as the conventional method have been obtained.&lt;/span&gt;
Fast surveillance video indexing & retrieval with WiFi MAC address tagging

&lt;span&gt;Conventional public safety surveillance video camera systems required 24/7 monitoring of security officers with video wall display installed in the control room. When a crime or incident is reported, all the recorded surveillance video streams nearby the incident area are playback simultaneously on video wall to help locate the target person. The security officers can fast forward the video playback to speed up the video search, but it requires massive manpower if there are hundreds of video streams required to be examined on the video wall. One of the possible solutions is through a suitable video indexing and retrieval technique to prioritize the video frames that need to be processed. This paper presents a WiFi sniffer enabled surveillance camera, with 3-stage WiFi frame inspection filter and the use of collected WiFi signal strength for filtering, to tag the collected WiFi MAC addresses to the surveillance video frames according to the time of the MAC address is sniffed. Additional metadata (WiFi MAC address of smartphone) collected during the occurrence of the incident can be used to prioritize the retrieving of surveillance video frames for subsequent image processing. &lt;/span&gt;
Improving Students’ Vocabulary and Activeness Using Mind Mapping: A Classroom Action Research of 1st Semester Students of Law Faculty Semarang University

The objective of this research is to improve students’ vocabulary and activity during teaching-learning process using mind mapping as a teaching method. This is a classroom action research conducted at Semarang University and the sample is taken from the first semester students of law faculty. This classroom action research applies two cycles. Each cycle includes planning, acting, observing and reflecting. The result showed that through mind mapping students can master English vocabulary easily especially English vocabulary for law, their test score improved, and they became active enough in participating in class such as asking and answering question, delivering opinion, and completing task.
Adversarial Machine Learning: A Blow to the Transportation Sharing Economy

Adversarial machine learningAdversarial machine learning has indicated that perturbations to a picture may disable a deep neural networkDeep neural network from correctly qualifying the content of a picture. The progressing research has even revealed that the perturbations do not necessarily have to be large in size. This research has been transplanted to traffic signs. The test results were disastrous. For example, a perturbated stop sign was recognized as a speeding sign. Because visualization technology is not able to overcome this problem yet, the question arises who should be liable for accidents caused by this technology. Manufacturers are being pointed at and for that reason it has been claimed that the commercialization of autonomous vehicles may stall. Without autonomous vehicles, the sharing economy may not fully develop either. This chapter shows that there are alternatives for the unpredictable financial burden on the car manufacturers for accidents with autonomous cars. This chapter refers to operator liability, but argues that for reasons of fairness, this is not a viable choice. A more viable choice is a no-fault liability on the manufacturer, as this kind of scheme forces the car manufacturer to be careful but keeps the financial risk predicable. Another option is to be found outside law. Engineers could build infrastructure enabling automation. Such infrastructure may overcome the problems of the visualization technology, but could potentially create a complex web of product and service providers. Legislators should prevent that the victims of an accident, if it were still to occur, would face years in court with the various actors of this complex web in order to receive compensation.
Research on the Cultivation of Students' Literature Retrieval Ability in Local Undergraduate Colleges: A Case Study of Shandong Institute of Business and Technology

Local undergraduate colleges focus on cultivating applied talents, while considering the graduation thesis writing, postgraduate study, it’s necessary to cultivate students' academic research ability. The literature retrieval ability is one of the basic skill of academic research. The orientation of the local undergraduate colleges determines that it’s not necessary to set up independent literature retrieval courses. The time limit in the classroom, the academic papers and the graduation thesis writing process often do not pay attention to the literature retrieval process, and the library does not play its role, the literature search on the mobile side are not convenient enough; corresponding measures are needed to be taken to solve the above problems.
Peningkatan Hasil Belajar Bilangan Romawi melalui Model Kooperatif Tipe Make A Match Peserta Didik Kelas IV SD Negeri Malangsari Tahun Pelajaran 2017/2018

This research is motivated by the low learning outcomes of Mathematics in Roman numerals caused by several factors: 1) the inaccurate use of learning methods, 2) the lack of use of learning media, 3) the lack of active students during learning. Therefore, research is needed to improve student learning outcomes. This research uses Classroom Action Research (CAR) with steps 1) planning, 2) implementation, 3) observation, 4) reflection. This CAR will implement a make a match type cooperative model which is carried out with two learning cycles. This study uses quantitative data analysis techniques from the results of observations of teacher ability and student activity and student evaluation tests. This research was successfully carried out with evidence of prasiklus activities of student learning outcomes only by 18.18%, up in cycle 1 by 90.9% and increasing in cycle 2 by 100%. The classical average value in the pre-cycle only reached 41.18, increasing significantly in cycle 1 of 77.91 and increasing again in cycle 2 of 82.5.
Cyberthreats: it's coming from inside!

Whether malicious or human error and no matter how many protections a company has, internal data breaches are just as significant and even more prevalent than attacks from hackers. How do companies tackle the human element of cybersecurity threats?
Imobilisasi Hasil Samping Pengolahan Limbah Cair Laboratorium Kimia Menjadi Batu Bata Untuk Keamanan Penyimpanan

Background: The wastewater treatment plant will produce sludge which is discharged directly into the environment can give rise to environmental risk and the health of humans and other living things. The research purposes are to produce brick from immobilization from by-products (sludge) that are effective, easy and environmentally friendly. Method: The study was divided into three stages: (1) initial identification, (2) design and (3) interpretation of results and conclusions. Results: The analysis of bricks made based on the ratio of binder and sludge by 1: 1, 2: 1 and 3: 1, the 16 parameters tested guided by Republic of Indonesia Minister of Environment Regulation number 5 of 2014 Concerning Wastewater Quality Standards, Annex XLVII give : there are two parameters that do not the quality standards: (1) Total Dissolved Solids (TDS) is 4200 mg / l (sample A, ratio of binder and sludge 1:1) and (2) the pH parameter is more than 9 (sample A, B, C, and E). Conclusion: Sludge, stored in the form of bricks is safe.
KLASIFIKASI SISWA SMK BERPOTENSI PUTUS SEKOLAH MENGGUNAKAN ALGORITMA DECISION TREE, SUPPORT VECTOR MACHINE DAN NAIVE BAYES

Dropping out of school in Vocational High School students is an educational problem that must be found out the causes, so that it does not happen again in the future. The purpose of this study is to classify student data so that it can be predicted that students who have the potential to drop out of school use the Decision Tree, Naive Bayes and Support Vector Machine algorithms. Then determine which algorithm is the best. The results showed that the Support Vector Machine algorithm was the best with an accuracy of 93.77% and Area Under the Curve of 0.990.
ANALISIS MINAT BACA MAHASISWA PENDIDIKAN BAHASA INGGRIS TERHADAP ARTIKEL ILMIAH

&lt;p align="center"&gt;&lt;strong&gt;Abstrak&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;Penelitian bertujuan untuk mengetahui dan mengidentifikasi minat baca mahasiswa Pendidikan Bahasa Inggris FKIP Universitas Tanjungpura terhadap artikel ilmiah, khususnya jurnal. Penelitian menggunakan metode deskriptif. Subjek penelitian yaitu mahasiswa semester 3 Program Studi Pendidikan Bahasa Inggris FKIP Universitas Tanjungpura yang berjumlah 109 orang. Kuesioner digunakan sebagai alat pengumpul data penelitian. Teknik analisis data menggunakan analisis deskriptif. Berdasarkan hasil analisis, diperoleh enam dari tujuh indikator minat membaca artikel pada jurnal ilmiah menunjukkan bahwa mahasiswa Pendidikan Bahasa Inggris tidak memiliki minat terhadap jurnal dengan persentase 86%. Indikator yang paling menunjukkan ketidakminatan mahasiswa terhadap jurnal adalah tingkat membaca artikel pada jurnal ilmiah menunjukkan 88% dari total responden tidak pernah membaca artikel pada jurnal ilmiah dalam satu semester.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;&lt;br /&gt;&lt;/em&gt;&lt;/strong&gt;&lt;/p&gt;&lt;p align="center"&gt;&lt;strong&gt;Abstract &lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;em&gt;&lt;/em&gt;&lt;/strong&gt;&lt;em&gt;The research aims to determine and identify the interest in reading English Education students of FKIP Tanjungpura University towards scientific articles, especially journals. Research using descriptive methods. The research subjects were 109 semesters 3 students of the English Language Education Study Program at Tanjungpura University. The questionnaire was used as a research data collection tool. Data analysis techniques using descriptive analysis. Based on the results of the analysis, obtained from six of the seven indicators of interest in reading articles in scientific journals show that English Education students have no interest in journals with a percentage of 86%. The indicator that most shows students' lack of interest in journals is the level of reading articles in scientific journals showing 88% of the total respondents never read articles in scientific journals in one semester.&lt;/em&gt;&lt;/p&gt;
Refleksi Ajaran Shinto Dalam Omamori

(Title: Shintoism Reflection InOmamori) Shinto handed down from generation to the next generation. Shintoism have had a strong influence on the lives of Japanese people, from festival activities to objects in their surroundings. Omamori is known as one form of that influence and became a culture part of the harmonization of the Shintoism and Buddhism. As one of the sacred objects which are still trusted by Japanese people, the existence of omamori is so popular even in modern society. Through a literature review, this article aims to describe what parts of the omamori are a reflection of Shintoism. The results obtained show that the reflection can be seen among others in the omamori user's belief in the existence of kamisama (Gods), and evil spirits, also can be seen from the material of the omamori itself.
Reasons for Intersectoral Differences in Employees’ Participation in Continuing Professional Education

О.Н.Баева, Н.П
Sistem Pakar Diagnosa Penyakit Pohon Karet dengan Metode Certainty Factor

The low production of smallholder rubber is caused by various factors, one of the causes is interference from various diseases. Building a system (computer) that is intelligent to analyze problems, observe the work system of an expert or expert. Expertise comes from the development of knowledge of someone who is competent and directly provides instructions to solve a problem. Certainty Factor is a method to prove whether a fact is certain or not certain in the form of metrics that are usually used in expert systems. This method is very suitable for expert systems that diagnose something that is uncertain. To apply the Certainty Factor method to the expert system, data is needed that will be input into the system, processed and display the results of the diagnosis of rubber plant diseases. Input: rubber plant disease type data and disease symptom data. Process: carry out analysis and calculation to get the diagnosis results using the Certainty Factor method. Output: information on the diagnosis of rubber plant diseases and percentage of confidence level in the diagnosis results in accordance with the rules of the Certainty Factor method. Keywords : Rubber Disease, Symptoms Diagnosis, Value Combination, Certainty Factor
A method for measuring verb similarity for two closely related languages with application to Zulu and Xhosa

&#x0D; &#x0D; &#x0D; There are limited computational resources for Nguni languages and when improving availability for one of the languages, bootstrapping from a related language’s resources may be a cost-saving approach. This requires the ability to quantify similarity between any two closely related languages so as to make informed decisions, of which it is unclear how to measure it. We devised a method for quantifying similarity by adapting four extant similar measures, and present a method of quantifying the ratio of verbs that would need phonological conditioning due to consecutive vowels. The verbs selected are those relevant for weather forecasts for Xhosa and Zulu and newly specified as computational grammar rules. The 52 Xhosa and 49 Zulu rules share 42 rules, supporting informal impressions of their similarity. The morphosyntactic similarity reached 59.5% overall on the adapted Driver-Kroeber metric, with past tense rules only at 99.5%. This similarity score is a result of the variation in terminals mainly for the prefix of the verb.&#x0D; &#x0D; &#x0D;
Clustering of Data using Affinity Algorithm

The term Big Data is used for denoting the collection of datasets that are extremely large and complex making it difficult to process using traditional data processing applications.The datasets clustering has become a challenging issue in the field of big data.The most widely used procedure to identify clusters is known as k-means.The k-means algorithm finds clusters with the least inertia for a given k.A drawback of this k-means is that if k is not known.This paper presented a new algorithm called affinity propagation which is based on the passing of the message between data points.The number of clusters to be determined or estimated before running the algorithm is not required in this proposed affinity algorithm.
Perancangan Aplikasi Skripsi Online Menggunakan Algoritma String Matching Knuth Morris-Pratt Pada Fakultas Teknik Universitas Islam Sumatera Utara

&lt;p&gt;&lt;em&gt;This Online Thesis application aims to save a collection of theses at the Islamic University of North Sumatra in the form of electronic files and distributed so that they can be accessed and read online by visitors but cannot be copied files. This system has a facility to record user activities to find out visitor statistics, theses that are read frequently, browser statistics used by users and pages accessed by users, and has a fast search facility and detailed search for users. The article discusses how to design and implement Knuth Morris-Pratt String Matching Algorithm in the Online Thesis Application that is able to handle the storage of thesis files on the server in the form of Portable Document format (PDF) which is converted into Flipbook form using Turn Js as a tool in making flipbook display. This system was developed using PHP, MySql, and HTML5. The results obtained are a Web-based Online Thesis Application that features a flipbook that can help library management in managing digital theses, knowing which pages visitors are visiting, theses that are often read, and knowing visitor statistics. And can provide information about existing digital thesis and help library visitors in finding and reading digital thesis online.&lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt; &lt;/em&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt;Keywords: thesis, flipbook, String Matching Knuth Morris-Pratt&lt;/em&gt;&lt;/p&gt;