Reviewerly/exHarmony huggingface dataset:
Face Detection Based On Eye-Mouth Triangular Approach

Human face is a complex and dynamic structure. It is a challenge to be able to make a face recognition system like humans. At the beginning of its development, many facial recognition studies only focused on facial features. In 1991, Turk and Pentland developed a face recognition system based on Principal Component Analysis named eigenface. This system is very efficient because it only focuses on components that most affect facial image. However, this system has weaknesses, which cannot be used to determine the position of the face. In this final project, image processing methods will be carried out to detect faces in digital images. The method used is eye mouth triangular approach with the steps being taken are skin detection, eye detection, mouth detection, and facial confirmation. From the results of a hundred digital color images tested, there were 82 images that were successfully detected. The main system failure is caused by failure in skin detection. Further development is needed so that the system can work optimally.
Penerapan Algoritma K-Medoids dalam Menentukan Daerah Rawan Banjir di Kabupaten Karawang

&#x0D; &#x0D; &#x0D; Flood disasters often occur during the rainy season. Karawang is one area that is often flooded. Based on the risk index from BNPB, the flood disaster in Karawang affected 84% of the community, so efforts need to be made to reduce and overcome flood disasters. These problems are the beginning of efforts that need to be known which areas are prone to flooding. Therefore, this study aims to determine flood-prone areas in Karawang as an initial effort in tackling flood disasters. The research was conducted by classifying flood-prone areas using the k-medoids algorithm. K-Medoids uses the partition clustering method to group lists and objects into a number of clusters. This algorithm uses objects in a collection of objects that represent a cluster. The attributes used are flood-causing factors such as rainfall, elevation (soil height), population density, and distance to the river. The results of the study found three potential floods, namely low, medium, and high. There are 1 sub-district with low flood potential, 24 sub-districts with moderate flood potential, and 5 sub-districts with high flood potential. The test results using the silhouette coefficient get a value of 0.370.&#x0D; &#x0D; &#x0D;
The Effectiveness of SQ3R Integrated with Digital Interactive Multimedia to Reading Skill at SMP PMT Prof. Dr. Hamka 2 Padang

The purpose of this study is to analyze the development of reading comprehension of junior high school students in Islamic texts through the SQ3R method integrated with digital interactive multimedia. This study was conceived as a collaborative classroom study conducted by Dr. Hamka2 Padang, Professor of SMP PMT. The subject of the survey was the 8th grade consisting of 24 students. The survey was conducted in a cycle of planning, action, observation, and reflection. The researcher and his colleagues the cycle consists of three sessions. The researcher and his colleagues used observation checklists, field notes, camera records and tests to collect data. As a result, it was found that the SQ3R method can improve the reading comprehension of students. There were 19 students (75%) who scored more than 80 out of 24 students, and 6 students failed to achieve the score. The study was completed after the third session of Cycle 1, where the student proficiency test results met the success criteria. Based on this result, researchers have come to the conclusion that the implementation of SQ3R methods integrated with digital interactive multimedia in the teaching and learning process can improve students' ability to read Islamic texts.
PENERAPAN KONSEP FINITE STATE AUTOMATA PADA VENDING MACHINE DALAM PEMBELIAN KARTU E-MONEY SEMUA BANK KONVENSIONAL

In the field of land transportation in the Capital City of DKI Jakarta, which is currently integrated with each other with payment methods in one tab, e-money cards can make it easier for users of public transportation modes whose mobility they often use and new users. With the enthusiasm of the community, until now there are still users of public transportation modes who just want to try using or who are switching to using public transportation modes to save more time and savings in terms of daily expenses. However, there are still those who do not have an e-money card, which requires users to buy an e-money card at a bank or supermarket that provides e-money cards. This study aims to make it easier for new users of public transportation to purchase e-money cards at each provider bank using a Vending Machine (VM) with the concept of the Finite State Automata (FSA) method of the Non-Deterministic Finite Automata (NFA) type. The results of this study aim to help new users of public transportation to be able to reach every station and bus stop in purchasing e-money cards, even though currently purchasing e-money cards with Vending Machines has not been spread evenly in several places of public transportation and is only focused on Vending. Machine one bank only.
Simple robust neural network

The classification problem and applying simple neural networks for solving it are considered.The robust modification of the error backpropagation algorithm that is used for training neural networks is proposed.The proclaim that allows building the proposed modification with the Huber loss-function is proved.In order to study the properties of the obtained neural network, a number of computational experiments has been carried out.The different values of outliers' fraction, noise level, and training and test samples size have been considered.The result analysis shows that the proposed modification can significantly increase classification accuracy and learning rate of a neural network when working with noisy data.
Smart Maintenance Framework Based on Spatio-Visual Computing: The Case of Aircraft MRO

Many organizations in aviation industry are facing the problem of establishing an overall coherent picture of their business and operations, while disparate datasets from different departments and geographically dispersed locations are united only by experience and often-heterogeneous hardware and software platforms prevent from efficient enterprise application integration.This paper focuses on approaches to increasing the value proposition of management information systems of aviation organization through integrated spatial and visual computing solutions while using the domain of aircraft maintenance, repair and overhaul organization as an illustrative example.The subject of the research is the analysis of the application of new computing approaches to digital transformation of complex geographically distributed services that require timely coordination, accurate localization and efficient planning and execution.The main object of the study is a new integrated spatio-visual framework for smart MRO service of aircraft engines that includes technology and software solutions in support of operations at different levels in aviation organization from top management personnel to the aircraft technician.
PRODUKTIVITAS DOSEN PERGURUAN TINGGI ISLAM DITENGAH PANDEMIC COVID – 19 BIDANG PENELITIAN DAN PUBLIKASI ILMIAH

Work productivity is the ability of a person or group of people to produce products, both in the form of goods and services which are qualitatively and quantitatively increasing from time to time. College. Through these regulations, it is hoped that later it can encourage lecturers to improve the quality, quantity of research and scientific publications. The purpose of this research is to reveal the productivity of lecturers in the field of research and scientific publications. This information can later be used by stakeholders to conduct guidance on the performance of lecturers. This research is a survey research and to collect the necessary data, a questionnaire that has high validity and reliability is used, and is equipped with observation techniques. At the initial stage, the respondents in this study were 80 lecturers at the University of Nahdlatul Ulama Sunan Giri. The results of the study show that during 2020, the productivity of UNU Sunan Giri lecturers in the field of research and scientific publications to increase when compared to 2019. In addition, differences also occur at the level of scientific publications.
Discrete max-linear Bayesian networks

Discrete max-linear Bayesian networks are directed graphical models specified by the same recursive structural equations as max-linear models but with discrete innovations. When all of the random variables in the model are binary, these models are isomorphic to the conjunctive Bayesian network (CBN) models of Beerenwinkel, Eriksson, and Sturmfels. Many of the techniques used to study CBN models can be extended to discrete max-linear models and similar results can be obtained. In particular, we extend the fact that CBN models are toric varieties after linear change of coordinates to all discrete max-linear models.
Implementation of Dynamic Replication Integrated Blockchain for Security in Cloud Environment

Cloud Computing is one of the key domains with the specific focus towards the security and integrity. For enforce the security and integrity, a number of approaches can be implemented but the integration of Blockchain Technology is quite novel and effectual. The information replication is one of the key errands during the database security and accessibility and for this there is have to incorporate the blockchain innovation with the security viewpoints. In current situation, the blockchain innovation is increasingly engaged towards digital forms of money in which the appropriated record is kept up for the exchanges. The dispersed record alludes to the recreated, synchronized and shared computerized resource for various areas and gadgets with the goal that the outsider control can't be conceivable. For instance, if a bank pursues the disseminated database record with blockchain innovation can uphold higher level of security. In the event that that bank is having one million clients, at that point the records of the exchanges will be put away on those one million gadgets. It alludes to the way that the programmer should hack one million gadgets continuously as opposed to a solitary server. This is the real preferred position of utilizing the decentralized blockchain technology. In instance of incorporated application, in the event that programmer enters the server of a bank, at that point every one of the subtleties and records of the considerable number of clients can be replicated. That is the principle reason on account of which the administration organizations should concentrate on decentralizing their electronic applications. In this research manuscript, the security parts of cloud databases are proposed to be advanced utilizing the blockchain innovations towards the specific scenarios integrated with the cloud applications.
Using Blockchain for Business &amp; Marketing Improvement

In the 21st century's global business environment, there is a growing demand for credibility. Recent research has shed light on the global decline in trusting brands. Typically, trusted third parties have intervened to ensure the trust required for different business transactions. This paper examines the impact of Blockchain technology on business and marketing from a variety of perspectives. Conclusions are drawn regarding the anticipated course of business and marketing advances as a consequence of these technological advancements, culminating in the widely held belief that Blockchain innovations have the potential to fundamentally transform the economy, culture, political structures, and research activities in positive ways.
THE EFFECT OF GROUP PROCESS THROUGH "O4MAT" TECHNIQUE TO COMMUNICATIVE ENGLISH ACHIEVEMENT OF GRADE 7TH STUDENTS

The Effect of Group Process through "O4MAT" Technique to Communicative English Achievement of Grade 7th Students aimed to (1) create and develop a communicative English reinforcement exercise using a group process through "O4MAT" technique for the grade 7th students (2) determine the efficiency index of a communicative English reinforcement exercise using a group process through "O4MAT" technique (3) study the communicative English achievement of the students and (4) study the satisfaction of the students toward learning process. The participants of this study were 23 students of grade 7th in the first semester of academic year 2021 at Chearavanon Uthit 3rd School, Pha Khao District, Loei Primary Educational Service Area Office 2 by purposive sampling. The tools used in this study were lesson plans with exercises, achievement test. The statistics used were percentage, mean standard deviation and dependent samples t-test for data analysis. The results of the study found that&#x0D; &#x0D; The efficiency of the communicative English reinforcement exercise using a group process through "O4MAT" technique was 87.20/87.17.&#x0D; The students had higher communicative English achievement after studying than before with statistical significance at the .05 level.&#x0D; The students had satisfaction with the English communication learning at the highest.&#x0D;
Pengaruh Perhatian Orang Tua Terhadap Motivasi Belajar Peserta Didik Kelas Tinggi Pada Pembelajaran Tematik di SD Muhammadiyah Gisting

This study aims to determine the significant influence of parental attention in the learning motivation of high-grade students in thematic learning at SD Muhammadiyah Gisting in the academic year 2020/2021 school year. This study uses a quantitative approach. The population was 205 students with a sample of 66 students. The study used probability sampling technique, namely proportionate stratified random sampling. The data collection techniques were questionnaire and document study. The instrument was tested for the validity and reliability. The data analysis technique used was simple regression test. Results of the study show a positive and significant influence parents' attention in the learning motivation of high-grade students in thematic learning at SD Muhammadiyah Gisting in the academic year 2020/2021.
Digital Literacy of Pre-Service Science Teachers as Reflection of Readiness Toward Online Learning in New Normal Era

ThThe Covid-19 outbreak affects education sector thus the teaching is undertaken remotely. Teachers and students use digital platforms to continue the teaching–learning processes. The present study was carried out to determine the digital literacy of pre-service science teachers at UIN Sultan Syarif Kasim Riau, Universitas Muhamadiyah Riau and Universitas Negeri Padang. Conducted through a formulated survey involving 115 science education students among those universities, the data were collected through digital literacy questionnaire adapted from ‘DigComp21 the digital competence framework for citizens”. The data analysis used descriptive and inferential statistics through SPPS 23 for windows application. Based on results obtained in this line of research, it showed that the digital literacy of pre-service science teachers was in the medium category with a score of 61.8%, and therefore, it indicated that there was no significant effect based on educational institution factors. The majority of students have low skills to create digital contents.
Mobile Application for Incident Reporting

In the Philippines, reporting an incident always depends on self-reporting to the nearest law enforcer's office or calling a channel using a mobile phone. 911 is the National Emergency hotline to get assistance when an emergency occurs. However, the emergency hotline operated by the Emergency Network Philippines (ENP), cannot retrieve the reporter's location details immediately. Only when the reporters describe the exact location clearly. Yet, many circumstances that the reporters do not know when they are, or sometimes they have imprecise position information. Then, the law enforcers team may not be able to come to the right place efficiently on time.Â The incident reporting application incorporates the three types of incidents, classified as public disturbance, ordinance violation, and crime incident. To report an incident the application will automatically get the latitude and longitude of the mobile user or an option to manually pinned the location on the google map include also the incident type, description, and photos will be sent to the nearest barangay responder officer. The barangay responder officer able to request a backup officer, the rescue emergency unit such as a hospital ambulance or firefighters, or transfer a report to the nearest police station. The system also manages web admin for responder locations and generates statistical reports including charts and graphs.Â The positive feedback of the participants during the evaluation stage signifies that the application was accepted as tested and verified by the evaluation results.
Google Translate Performance in Translating English Passive Voice into Indonesian

A scant number of Google Translate users and researchers continue to be skeptical of the current Google Translate's performance as a machine translation tool. As English passive voice translation often brings problems, especially when translated into Indonesian which rich of affixes, this study works to analyze the way Google Translate (MT) translates English passive voice into Indonesian and to investigate whether Google Translate (MT) can do modulation. The data in this research were in the form of clauses and sentences with passive voice taken from corpus data. It included 497 news articles from the online news platform ‘GlobalVoices,' which were processed with AntConc 3.5.8 software. The data in this research were analyzed quantitatively and qualitatively to achieve broad objectives, depth of understanding, and the corroboration. Meanwhile, the comparative methods were used to analyze both source and target texts. Through the cautious process of collecting and analyzing the data, the results showed that (1) GT (via NMT) was able to translate the English passive voice by distinguishing morphological changes in Indonesian passive voice (2) GT was able to modulate English passive voice into Indonesian base verbs and Indonesian active voice.
AN INVESTIGATION OF CELL PHONE USES IN THE EDUCATIONAL ACTIVITIES AT THE UNIVERSITY LEVEL

The study investigated the uses of a cell phone in educational activities of students at a higher level. The recommendation of National Professional Standards on the use of ICT in education provides a strong theoretical background for the study. The objectives of the study focused on the investigation of the perception of teachers and students regarding the uses of the cell phone in educational activities and effective communication between students and teachers for educational progress. Adopting a descriptive research design, a survey was carried out to investigate one hundred respondents by using a self-developed questionnaire. The collected data was analyzed through percentage and findings were tabulated consequently which show that majority of respondent uses a cell phone for instructive activities and having positive effects on students’ educational performances. Furthermore, the uses of a cell phone in educational activities facilitate teachers and students at the same level in organizing their teaching and learning activities. Keywords: Cell phone, Students’ National Professional Standards, Instructional Activities, etc
Personality traits that affect the sense of presence differ depending on the method of presenting the content of virtual reality?

バーチャルリアリティのコンテンツの呈示手法によって臨場感に影響する性格特性が異なるか否かを検討するために，コンピュータグラフィックス（CG）と全周囲パノラマ動画（PV）の仮想環境の臨場感に影響するMMPIの項目を比較した。CG条件では，大学生と大学院生59名がMMPIに回答した後，CGで構築した仮想環境の中でジェットコースターの乗車体験をし，1～100の範囲で臨場感を報告した。直接確率検定の結果，高臨場感群（n＝16）と低臨場感群（n＝16）で，MMPIの16項目の是認率に有意差が認められた。この16項目の合計得点（cg16）と臨場感得点との間には正の相関が認められた（r＝.77, p＜.01）。PV条件では，大学生43名がMMPIに回答した後，仮想環境の中で吊り橋を渡る体験をした。高臨場感群（n＝12）と低臨場感群（n＝15）で，MMPIの18項目の是認率に有意差が認められた。この18項目の合計得点（pv18）と臨場感得点との間には正の相関が認められた（r＝.75, p＜.01）。しかしながら，CG条件における臨場感とpv18との間，PV条件における臨場感とcg16との間には相関は認められず，コンテンツの呈示手法によって臨場感に影響する性格特性が異なることが示唆された。
A Case Study of Students’ Barriers in Passive Voice Sentences

This study was to find out the errors experienced by students in composing passive voice sentences. It also explained the factors that caused students' barriers in constructing passive voice sentences. This study focused on students' errors and bariers in constructing passive voice sentences in the form of Simple Present Tense, Simple Past Tense, and Present Future Perfect Tense. The research approach used was a qualitative method through a case study. The subject of this research was 12 students in class XII of SMKS Yaspenmas Sei Lepan. Data collection techniques were tests and interviews. The findings of this study were the types of student errors on omission 62.4%, misinformation 10.6%, misordering 27%. As well as the location of the error in the passive voice sentence in the form of Simple Present Tense in the use of to be 75%, past participle 100%, then the use of to be in the Simple Past Tense 95, 83% and past participle 64.6%, then the use of have in Present Future Perfect Tense 36.1%, been 100%, and past participle 33.3%. These errors were due to internal factors and external factors. The internal factors were students’ lack of interest in learning English as well as lack of vocabulary mastery and lack of understanding of grammar. The external factors were lack of parental attention, lack of supporting media in the learning process, inadequate school infrastructures, and the road to school was difficult to pass.
MULTIPLEXING IN MEDICAL IMAGE PROCESSING WITH MACHINE LEARNING METHODS BASED ON RDH

The research created a novel reversible data hiding (RDH) strategy for disease diagnosis depending on Code Division Multiplexing (CDM) as well as machine learning techniques.The hidden information was embedded further into mid-frequency subcarriers of the ct images using CDM plus machine learning techniques after the patient records picture was translated into a spectral domain using the decimal digits decomposition method.The hidden information was implanted continuously thanks to the orthogonality of multiple extending phases used in the CDM method, and most of the components of extending processes were directly negated, resulting in a large information hiding potential with minimum picture degradation.Concurrently, the hidden information to be embedded was indicated by distinct disseminating patterns, and then only the recipient with an identical
A Comparative Study of Segmentation Method for Computer-aided Diagnosis (CAD) Leukemia AML Subtype M0, M1, and M2

A computer-based diagnosis model for Acute Myelogenous Leukemia (AML) is carried out using white blood cell image processing.The stages in computer-aided diagnosis (CAD) are included pre-processing, segmentation, feature extraction, and classification.The segmentation method has many approaches, namely, clustering, region growing, and thresholding.The number of approaches that can be used requires proper selection because it will have an impact on CAD performance.This study aims to conduct a comparative study of the performance of the WBC segmentation method on the AML M0, M1, and M2 subtype leukemia CAD system.The segmentation algorithm used is k-means, fuzzy c-means, SOM, watershed, chan vese (active contour), otsu thresholding, and histogram.The feature extraction method uses GLCM, while the classification algorithms tested are SVM, Random-forest, decision tree, naive Bayesian, and k-NN.The test results show that the histogram segmentation method is able to provide the best average performance when using SVM, namely 90.3% accuracy, 85.9% sensitivity, and 92.7% specificity.