Reviewerly/exHarmony huggingface dataset:
Penggunaan Algoritma CART untuk Pemilihan Bingkai Kacamata dengan Penerapan Model Morfologi Indeks Wajah untuk Identifikasi Bentuk Wajah

The large variety of frame shapes and sizes make it difficult for consumers to choose which one suits their face. The absence of a standard frame style guide between face types against the eyeglass frame complicates the selection of eyeglass frames. The application of the Zen principle (balance) in the selection of the right frame expected to be a consideration in choosing eyeglass frame. Various forms of eyeglass frames that look like a square, round and oval make the Zen principle difficult to apply, so machine learning is needed to be able to create eyeglass frames selection system. Face shape identification help to determine eyeglass frames. Face shape identification is done based on the morphological facial index by calculating face length and width. The decision tree CART algorithm is chosen as a method for selecting eyeglass frames. The study uses 109 face data that have been selected by the optical, from 109 data divided into two parts, 100 training data, and 9 test data. The prediction system produces an accuracy value of 93% at max depth 6 for reading glasses and 91% for sunglasses. The implementation of the CART algorithm is proven to be able to predict the selection of eyeglass frames using morphological attributes of face index.
Teacher’s Role and the Principles of Teaching Speaking Skill

Speaking is productively skill because it can create many words continuously go on. some students want to speak in a certain condition or stimuli. An event when the students express freely what the are feeling in front of the class without being shy to his/her friends. Of course it is not far from teacher’ role, how the teacher make his/her students become active in the class.So that’s why teacher role in this case is ultimate to create an active and creative students. Something that makes the role of teachet is important is if a teacher takes and play his/her role well applied un the class, it will indirectly motivate the students to show their ability up in front of the class and it will affect when the students are in public society.&#x0D; The research showed that teacher role is ultimate in education due to make a class comfort either for the students or for the teacher to reach educational purposes. Additionally, The teacher played the role in the class more namely as Learning Manager role that applied in the class. The reasons are to make students fell comfort in joining the class, to make the students build their confidence up in order to be able to speak English, etc. Based on the result above, it is suggested for the English teacher to select the approppriate roles needed by the students. Teacher may combine or use more than one role in one subject. Then, teacher should pay attention to the students development in terms of students’ speaking ability and have something which challege or treats the students more to speak such as using game or role play.&#x0D; Key Word : Teacher’s Role, Principles of teaching and Speaking
Group Investigation Technique on Indonesian High School Students’ Writing Skill

Writing is the work of pouring ideas, expressing those ideas, and organizing them into statements and paragraphs that will be clear to a reader. Five points that students need to pay attention to in writing are content, organization, vocabulary, language use (grammar) and mechanic. Therefore, in this research, the researcher choosed Group Investigation Technique in teaching writing skill. The objective of this research is to discover whether any significant effect or not in the implementation of Group Investigation Technique on Indonesian high school students’ writing skill because the students were not familiar with the written form in English in spite of they have some assignments about that. Some students were not confident to write in English because they were afraid to make mistake in grammar. The researcher used Quantitative approach and Quasi Experiment method with Non–Equivalent Control Group Design. Both of experimental class and controlled class consist of 38 students as the sample of this research. The result of this research is shown the mean score of controlled class (X.FI.1) pretest (58,5) is a little smaller than experimental class (X.FKK.2) pretest (60,26). Meanwhile the mean score of controlled class postest (65,82) is way smaller than experimental class postest (73,4). Based on the data analysis postest of hypotheses testing with significant level 5% (0,05), the result obtained that tcount (3,18) &gt; ttable (1,99) where the statistical hypotheses of H0 was rejected and H1 was accepted. So, it can be concluded that there is significant effect in the implementation of Group Investigation Technique on Indonesian High School Students’ Writing Skill.
STUDENTS’ MOTIVATION IN LEARNING ENGLISH AT SMP PLUS AMANAH ISLAMIC BOARDING SCHOOL TASIKMALAYA

AbstractThis research aims to investigate motivation and dominant motivation which students have at bilingual education system at SMP Plus Amanah Islamic Boarding School Tasikmalaya. This research employed a qualitative research design in the form of constructivist grounded theory. A modified questionnaire which was adopted from Gardner’s Attitude/Motivation Test Battery (AMTB) and structured interview questions were conducted. The results showed that the students have integrative and instrumental motivation but they tend to be slightly more instrumentally motivated. The highest indicator items showed that students think that learning English can make them be a more knowledgeable person. Further, the student’s reason related to their motivation in learning English come up from the interview. It encompassed both integrative and instrumental motivation. For the reasons related to instrumental motivation, students learn English to get profitable career, to go traveling, to study or work abroad, to pass the test (school/job requirement), to participate in English competition, to understand English music, and to get high social status. Whilst for integrative motivation, they learn English to communicate with varied people from other countries, and they are interested in learning the language as well as the culture as their insight. Keywords: integrative motivation, instrumental motivation, bilingual education system, learning English
Suspicious Transactions in Smart Spaces

IoTsystems have enabled ubiquitous communication in physical spaces, making them smart Nowadays, there is an emerging concern about evaluating suspicious transactions in smart spaces.Suspicious transactions might have a logical structure, but they are not correct under the present contextual information of smart spaces.This research reviews suspicious transactions in smart spaces and evaluates the characteristics of blockchain technology to manage them.Additionally, this research presents a blockchain-based system model with the novel idea of iContracts (interactive contracts) to enable contextual evaluation through proof-of-provenance to detect suspicious transactions in smart spaces.
Interpretability of API Call Topic Models: An Exploratory Study

Topic modeling is an unsupervised method for discovering semantically coherent combinations of words, called topics, in unstructured text.However, the human interpretability of topics discovered from non-natural language corpora, specifically Windows API call logs, is unknown.Our objective is to explore the coherence of topics and their ability to represent the themes of API calls from the perspective of malware analysts.Three Latent Dirichlet Allocation (LDA) models were fit to a collection of dynamic API call logs.The topics were manually evaluated by malware analysts.The results were then compared to existing automated quality measures.Participants were able to accurately determine API calls that did not belong to topics learned by the 20 topic model.Our results agree with topic coherence measures in terms of highest interpretable topics.The results are not compatible with log-perplexity, which concur with the findings of topic evaluation literature on natural language corpora.
Computer Aided Planning of WLAN Access Networks

An Internet application was developed to support the design process of the WLAN access network.The whole program was designed as a desktop application using the following languages: HTML, CSS and JavaScript.The main task of the application facilitates the planning process of the WLAN access network, including the location of multiple base stations.There is an example of using the program in the WLAN network planning process.The main purpose of this application as the ability to carry out network planning using multiple base stations and provide radio coverage for the entire area served by Wireless Internet Service Provider, is obtained.
Research on Identify Image of the Inscription at the Bottom of Purple Clay Teapot Based on Two-Classification Algorithm

We use an improvement to the traditional sift algorithm to extract some more stable feature points of the inscription image at the bottom of purple clay teapot. We found the appropriate features as input, and used two-classification algorithm to train the classifier, and obtained the classification function with better classification ability for the matching of the inscription image at bottom of the teapot. In this paper, we created a sample library containing 100 sets of images and 14968 data samples. The experimental results show that when we choose the first 100 singular values of X-Y (X and Y respectively refer to the feature descriptors of the two images to be matched, obtained by improved sift algorithm) as the input of the classifier, the classifier trained by the Gaussian radial basis kernel function of SVM has better classification ability. The classification accuracy rate reaches 83.47%.
Extensional proofs in a propositional logic modulo isomorphisms

System I is a proof language for a fragment of propositional logic where isomorphic propositions, such as A∧B and B∧A, or A⇒(B∧C) and (A⇒B)∧(A⇒C) are made equal. System I enjoys the strong normalization property. This is sufficient to prove the existence of empty types, but not to prove the introduction property (every closed term in normal form is an introduction). Moreover, a severe restriction had to be made on the types of the variables in order to obtain the existence of empty types. We show here that adding η-expansion rules to System I permits to drop this restriction, and yields a strongly normalizing calculus which enjoys the full introduction property.
Report on the 2nd Software Engineering Education Workshop (SEED 2019) co-located with APSEC 2019.

SEED 2019, The 2nd International workshop on Software Engineering Education (co-located with Asia-Pacific Software Engineering Conference – APSEC 2019, 2-4 December, at Putrajaya, Malaysia with a theme 'Engineering Impactful Software for the Society towards IR4.0'), aims to bring together Software Engineering (SE) educators and practitioners into a dialogue to build a shared understanding of Software Engineering curriculum topics and specific issues in teaching and learning of Software Engineering with respect to the emerging topics of Artificial Intelligence, Cloud Computing, and Internet of Things (IoT) and corresponding Industry practices. SEED 2019 invited Position Papers (maximum 6 pages long) in the area of Software Engineering. The workshop accepted 5 papers and consisted of keynote talk as well as group discussion in addition to the position paper presentations.
A Comparative Study between Self-Editing - Peer Review and Peer Review - Self-Editing in Different Groups of Proficiency to Enhance Students’ Writing Improvement

This research investigated: (1) was there a statistically significant difference of students’ writing improvement between the students treated with self-editing - peer review and peer review - self-editing; (2) was there a statistically significant difference of students’ writing improvement in different groups of proficiency of both classes; and (3) the aspect of writing significantly improved in both classes. The subject of this research was the students of IBI Darmajaya, Lampung. This research used quantitative approach. The instruments were writing test and Nelson English Language Proficiency Test (NELT). The result shows that 1) there was a significant difference of students’ writing improvement between Class A and Class B; 2) there was a statistically significant difference of students’ writing improvement in heterogeneous groups in both classes; 3) it was language use, a writing aspect mostly improved. Self-editing and peer review can help students to improve their writing. Besides, it is inferred that reversing the order of editingstages does affect students’ writing improvement differently.
Analisa dan Pengembangan Modul Berbasis RFID pada Aplikasi UMB Mobile

Presence is significant for every lecture, office or other organizational activities, currently recording the attendance of student lectures at Mercu Buana University by calling one student at a time to be present by the lecturer, then the lecturer giving a sign of attendance on the particular lecturer application form that has provided. The purpose of this study is to analyze and develop RFID-based mobile UMB, which has the benefit of students being able to attend their presence without having to wait for lecturers to attend the attendance process and students can find out the level of time delay so that it can become learning so as not to delay in the future. The method used in this study uses a SWOT analysis and then designed with a system using UML, the construction of this application using the Waterfall method, and testing using a BlackBox. The results of this study are the development of modules in the UMB Mobile application successfully implemented with RFID devices.
Preliminary Study on Improving the Effectiveness of Statistics Class

Abstract: Statistics, with various disciplines, is a methodological subject that studies the rules of overall quantity in objective phenomena. The intersection of statistics, data science, and computers will give birth to powerful statistical tools, which will enrich our horizon and depth of viewing the world, and will enable the theories and methods of statistics to develop in a wider world. Thus, this article mainly analyzes how to improve the effectiveness of statistics lessons.
Big Book as an Effort to Increase Beginning Reading in SD Negeri Percobaan, Medan City

This research elaborates the material development of beginning reading for students Grade II SD Negeri Percobaan Medan through Big Book Media. The method of the research is Research and Development ( R &amp; D) which consists of 10 steps of research, namely (1) potential and problems, (2) data collection, (3) product design, (4) design validation, (5) design revision, (6) product testing , (7) product revisions, (8) usage trials, (9) product revisions and, (10) mass production. This research was conducted at SD Negeri Percobaan Medan Medan Baru District held in the odd semester of the 2017/2018 academic year. The research was carried out on Indonesian language learning by using Big Book media. The results obtained in this study show that the teaching materials are appropriate and valid for using by Grade II primary school students because they have been assessed and validated from the expert team. This conclusion was taken based on the results of the analysis of experts consisting of grammar experts in fairly decent qualifications (82%), material content experts were in very decent qualifications (94%) and learning design experts were in decent qualifications (73%). From all validator assessments, there were sufficient qualifications with an average value of 83%. This is reinforced by the results at the product trial stage obtained a percentage of 53.33% and the trial phase of use obtained a percentage of 86.66%. This means that indicators of effectiveness have been fulfilled. So with the results obtained it can be stated that the development material is appropriate to be used in Grade II SD Negeri Percobaan in order to improve reading skills in the implementation of a better learning process.
Improving Students’ Motivation in Learning English Through Cooperative Learning Strategy by Using Media

This study deals with the improvement of students’ motivation in learning English through cooperative learning strategy assisted by attractive media. This study was conducted at SD Muhammadiyah 2 Medan, which located on Jl. Mustafa. No.1, Glugur Darat I, Medan Timur. The subject of the study is the grade six of 2019/2020 academic year. Classroom action research is applied in this study consist of two cycles, in which each cycle consists of four stages; planning, action, observation, and reflection. The data are obtained from both of observation and test. The qualitative data is analyzed through Miles and Huberman approach, while quantitative data is figured out through the formula . The result denotes that there are only 21 out of 43 students achieve 75 and over in cycle 1, whereas in cycle 2 there is significantly increasing number of students passing 75 and over with 43 students or 100%. In addition, learning activities become more active and creative. It is inferred that there was significant improvement on students’ motivation in learning English through cooperative learning strategy.
Gamifying the visit to places with valuable landscapes

The landscape, in general, is full of meaning and has been studied over time by experts in different fields.In 1992, the landscape was considered a World Heritage Site with the designation of "Cultural Landscape".Despite this relevance, in many regions, there are places with valuable landscapes that are unknown to most of the population.This paper describes a mobile tool for finding and sharing places with valuable landscapes, which includes gamification components to motivate users to search for new places and share them.It is also presented an evaluation of the tool, in terms of user experience and including the assessment of gamification features.The tests were carried out in the Cultural Landscape of Sintra, considered world heritage since 1995
SISTEM INFORMASI PERSEDIAAN BARANG BERBASIS DEKSTOP PADA PT. ULTRA SAKTI

Inventory is very important in work activities or in a business entity, because inventory can be a benchmark of performance and cash flow of a company. If there is too much inventory turnover is not good, and vice versa if there is too little inventory it can hamper work activities, resulting in low yields and will affect the company's income. Because at PT Ultra Sakti, ATK Goods Inventory Management is still manual. Which causes the management and presentation of inventory data can be ineffective and inefficient, because it is very easy to make mistakes (Human Error) this results in the inventory process will be very bad, because it could be an excess or even a shortage of inventory processes. Therefore, the authors try to make an inventory system in order to help PT. Ultra Sakti in carrying out work activities to be more efficient and effective, in the presentation of data and data management. So that mistakes can be minimized. And the presentation of data can be utilized properly.&#x0D; &#x0D; &#x0D; Keywords— Information System Design, Inventory System
Collaboration Drivers andBreakdowns in Large Scale Software Customization

Software is not developed in a vacuum.Development teams and organizations must react to various incidents, such as changes in personnel, development practices, project objectives, and business environment, and all kinds of delays occurring during large-scale software development projects.These incidents challenge contemporary communication, collaboration and development practices.They also require an ability to adapt to the new situation.We argue that the problems in reacting to those incidents and the inability in implementing corrective actions are the main reasons for software project failures.We identify four drivers of collaboration.They are named as contract, individual person, group of collaborators, and development process, each being appropriate in different points of time.Yet their emphasis and appropriateness vary over time.This emphasizes the developers' ability to transit between the drivers of collaboration.
Teknik Data Mining Dalam Clustering Produksi Susu Segar Di Indonesia Dengan Algoritma K-Means

Milk is an important intake to meet nutritional needs. Both consumed by children, and adults. Indonesia has many producers of fresh milk, but it is not sufficient for national milk needs. Data mining is a science in the field of computers that is widely used in research. one of the data mining techniques is Clustering. Clustering is a method by grouping data. The Clustering method will be more optimal if you use a lot of data. Data to be used are provincial data in Indonesia from 2000 to 2017 obtained from the Central Statistics Agency. The results of this study are in Clusters based on 2 milk-producing groups, namely high-dairy producers and low-milk producing regions. From 27 data on fresh milk production in Indonesia, two high-level provinces can be obtained, namely: West Java and East Java. And 25 others were added in 7 provinces which did not follow the calculation of the K-Means Clustering Algorithm, including in the low level cluster.
Harnessing the Adversarial Perturbation to Enhance Security in the Autoencoder-Based Communication System

Given the vulnerability of deep neural network to adversarial attacks, the application of deep learning in the wireless physical layer arouses comprehensive security concerns. In this paper, we consider an autoencoder-based communication system with a full-duplex (FD) legitimate receiver and an external eavesdropper. It is assumed that the system is trained from end-to-end based on the concepts of autoencoder. The FD legitimate receiver transmits a well-designed adversary perturbation signal to jam the eavesdropper while receiving information simultaneously. To defend the self-perturbation from the loop-back channel, the legitimate receiver is re-trained with the adversarial training method. The simulation results show that with the scheme proposed in this paper, the block-error-rate (BLER) of the legitimate receiver almost remains unaffected while the BLER of the eavesdropper is increased by orders of magnitude. This ensures reliable and secure transmission between the transmitter and the legitimate receiver.
Penentuan Calon Penerima Beasiswa Menggunakan Metode Fuzzy Tsukamoto

&lt;p&gt;&lt;em&gt;Scholarships is appreciation which are given to individuals to continue a higher level education. Scholaship is financial assistance which are given to individuals or students for different education achieved. This program is expected to alleviate the burden of students in learning certain problems costs. Fuzzy Tsukamoto's logic is one method that can build a system to select student who can get the scholarship. The selected based on parent's data, number of parents and the average value of each student. The results using the Fuzzy Tsukamoto method analyzed is based on 31 student data obtained error value as big as number 17.4 where can concluded the error value is relatively small&lt;/em&gt;&lt;/p&gt;