Reviewerly/exHarmony huggingface dataset:
Principles Analysis Of Grice's Cooperation In Events Speech In Traditional Markets: A Pragmatic Study

Speakers and speech partners in a speech event cannot be separated from the rules governing the act of using language so that speech can run well. One of the language principles in pragmatic studies is the cooperative principle or Grice's cooperative maxims which divide the principles in question namely, 1) maxim of quantity, 2) maxim of quality, 3) maxim of relevance ( maxim of relevance), and 4) maxim of manner. This research was conducted to find out the application of Grice's cooperation maxims in speech events in the market. The population of this study are all traders and buyers who are transacting within the market scope. Whereas, Sampling was determined using random sampling technique or random sampling by taking as many as 10 to 15 conversational samples in trader and buyer transactions. Data collection is carried out by tapping or recording techniques. Data analysis was carried out in three stages, namely, data reduction, data modeling, and drawing/verifying conclusions. It is obtained that three out of the four Grice cooperation maxims are fulfilled. This conclusion is drawn from the results of processing or analysis of data obtained during the research. The three maxims fulfilled include; 1) maxim of quantity, 2) maxim of quality, and 3) maxim of manner. Meanwhile, the maxim that is violated is the maxim of relevance. One of the reasons why the maxim of relevance is violated by traders is to divert attention. This aims to offer or introduce other merchandise when the goods needed by the buyer are not available or out of stock.
Implementation of Guessing Game in EFL Classroom

The study's goals are to 1) determine how guessing games help second-class students improve their English-speaking abilities. 2. To understand the challenges second-class students are having with improving their English-speaking abilities. To illustrate the evolution and challenges encountered in using guessing games, the researcher used descriptive methods and purposive sampling. The results showed that 6 (20%) of the 30 pupils were classed as having very good grades, 12 (40%) as having good grades, 9 (30%) as having average grades, 3 (10%) as having low grades, and none as having very poor grades. It demonstrated that they were very interested in integrating the teaching and learning of English language using a guessing game technique.
Aplikasi Pengukuran Penggunaan Prebiotik untuk Tanaman Jagung di Kabupaten Aceh Utara Menggunakan Metode Fuzzy Tsukamoto Berbasis Web

Corn, along with rice and wheat, is one of the world's most significant food crops. Crop failures are a common concern for farmers, and one of the causes is the use of unsuitable fertilizers, which can limit the growth of organs and plant structure as a whole. Because good corn plant growth and high yields require the use of good and appropriate fertilizer for corn plants, this system is designed to recommend fertilization for plants based on the variables required by plants, namely soil pH, air temperature, humidity, rainfall, rainy days, altitude area, solar radiation, and land area, as determined by the agricultural service. Where each value is calculated using a specified set of each criterion, namely little, medium, and high. The outcomes of these computations are the final result of this decision system, namely suggestions for fertilizer usage in liters to assist farmers in analyzing fertilizer use for corn plants in North Aceh District. As in prior works, Tsukamoto's fuzzy technique is applied in this decision-making system to handle data values with a very high level of uncertainty or ambiguity.
Comparison of Response Time Database RDBMS with NoSQL on Electronic Medical Records (EMR)

The electronic medical record is a system for storing and managing patient medical data in electronic form. EMR replaces traditional medical record systems that still use paper, allowing doctors and other medical personnel to access patient medical records more quickly and easily from anywhere, as long as they are connected to the same network. In the EMR, patient medical data is stored in electronic format, such as text, images, and test results. EMR allows doctors to create patient medical records, make drug prescriptions, place laboratory orders and radiology orders, and access other patient medical data in one centralized system. EMR can also enable doctors to perform data analysis to gain insight into a patient's health condition and improve the treatment provided. In this study, the ERM database is used, with one database using PostgreSQL and the other using NoSQL. The purpose of this research is to test the speed performance of PostgreSQL and NoSQL with insert, select, and delete commands. Testing Method Using 1,000 records, 5,000 records, and 10,000 records, with each record being tested three times, and then taking the average, The results of this study are that the NoSQL database insert command has a speed of 3,900 times faster than the PostgreSQL database with 1,000 data records, whereas with 5,000 data records the NoSQL database is 471 times faster, while with 10,000 data records the NoSQL database is 355 times faster, and the select command for 1 NoSQL database table is 8 times faster than the PostgreSQL database, while for the above 1 PostgreSQL database table is faster.
Development Digital Course Book Management Learning in ITKeS Muhammadiyah Sidrap

Use digital books are urgently needed in online learning in the era of the Covid-19 pandemic. For increase quality learning , development curriculum , innovation learning , and quality nor completeness facilities and infrastructure. Research This done with use R&amp;D (Research and Development) approach . Study This aim For 1) describe level need student to digital management book learning , 2) describe level validity digital management book learning , 3) describe level practicality digital management book learning . Study This developed with using a 4D model (define, design, development, disseminate). Study This carried out in the study in ITKeS Muhammadiyah Sidrap .
Using Quizizz in Improving Students’ English Learning Outcomes of Narrative Text

This research is a Classroom Action Research aims to improve English learning outcomes on Narrative Text material for students in class X.6 which amounted to 32 people at SMAN 11 Palembang. This research activity aims to help improve knowledge and develop skills in the selection of learning media so as to improve student learning outcomes, in order to support the improvement of the quality of education and the quality of graduates at SMA Negeri 11 Palembang. This research was conducted in two cycles and used data such as observation and Pre-Test and Post-Test. The average score obtained by students in the first cycle was 50 with a percentage of Learning Objective Completeness Criteria of 28.12% which was still below the desired percentage of 80%. While the average value of cycle 2 was obtained 81 with a percentage of 81.25% which was categorized as "very good" because it experienced a very significant increase of 53.13% compared to the previous cycle.
Development of Virtual Coding Platform

To achieve an integrated environment and interactive experience of e-learning, we have designed a virtual coding lab system. This paper introduces a concept called a coding lab for teachers and students of a college. It includes creating a website where students can code and that can be monitored by the teacher. The students can also submit the pdf code file to the teacher for assessment. Using some complex web development tools, this paper intends to make life easier for teachers and students by providing a simple user-friendly interface for both and making lab sessions unique and convenient. The principal objective of the project is to create improvement in the existing E-Learning practices. A big problem which the current education system is facing is to providing a good quality education in virtual or online mode. A small part of that is computer language teaching. This is identified as the problem statement to work upon in the project.
Academic Writing in the 21st Century: Voices from English and Indonesian Lecturers

Academic writing is a general skill that must be mastered by every college graduate, especially those majoring in English Language Education. However, according to the latest research, academic writing is the most neglected language skill in education in Indonesia. It is believed that poor and outdated pedagogy as well as the low quality of teachers are the main factors that makes academic writing more challenging to learn. Furthermore, in the context of 21st century, each learner should be equipped with bi/multilingual proficiency as a key instrument for global communication, and, therefore, a sound language pedagogy is the one that helps learners to develop their bilingual academic proficiency. This current study critically gathered insights from six respondents on the nature of academic writing both in English and in Bahasa Indonesia and the role it plays in the acceleration of knowledge building in their own fields. Qualitative research was employed. The collected voices were transcribed and analyzed in the forms of thematic analysis and word clouds. The results of the study show that the respondents (especially the lecturers) have not provided key arguments on how bilingual academic literacy should be approached. However, other respondents believed that academic writing (pedagogy and assessment) should be approached differently. In other words. Innovation in academic literacy pedagogy in Indonesia should be addressed soon. This study concludes that it takes more time and effort to conceptualise the notion of bilingual academic literacy in Indonesian higher education context. This study is expected to provide key insights on how innovation on academic literacy innovation should be addressed.
Optimization of Website and Mobile Based Applications Drug Counseling Media to Support the Anti-Drug Movement in Indonesia

The massive drug trafficking in Indonesia has threatened the resilience of society, especially the younger generation. Indeed, the government through the National Narcotics Agency has intensified various efforts to educate the community to raise awareness about the dangers of drugs in line with the increasing number of drug trafficking among the younger generation. The implementation of anti-drug counseling activities faces some obstacles such as the limited counseling personnel, time, and cost. Supporting the anti-drug movement becomes the obligation of all parties, especially academics to optimize the counseling website media in cooperation with related NGOs and to provide training on the use of the website as a personal counseling media that can be used anywhere and anytime.
Information Retrieval using OSINT and GHDB

Data in the 21st Century is like Oil in the 18th Century. The amount of data available publicly on the web repository is indeterminable. By gathering, processing, filtering, analysing, and correlating data from every corner of cyberspace, Open-Source Intelligence (OSINT) actually benefits from that open nature in this aspect. The first step to any successful attack is Reconnaissance, which is about identifying and gathering information about the target and OSINT is the tool that helps in proactively finding out valuable information, which can be considered while trying to attack the target. Proactive measures seek to predict and prevent cyberattacks from occurring in the first place. New measures against Cyberthreats and Cybercrime can be made with improvement in OSINT.
Pengelolaan dan Inventarisir Sarana dan Prasarana di Lingkungan Perpustakaan Daerah Studi Minat Baca Anak, Pojok Baca dan Literasi Talling Story dalam Menumbuhkan Kembangkan Sensori Motorik Pada Anak

This study aims to investigate the management and inventory of facilities and infrastructure in the library area of ??the study area for children's reading interest, reading corners, and storytelling literacy and their impact on sensory-motor development in children. This study uses a descriptive approach by gathering information from available sources. The research findings indicate that there are various well-managed facilities and infrastructure in the library, such as a collection of children's books, interactive games, and comfort facilities that support motor sensory. Effective management and inventory allows children to engage in reading activities and games that stimulate their sensory-motor development. The implications of this study show the importance of good management in creating a library environment that facilitates sensory-motor development in children. This research contributes to our understanding of the role of regional libraries for children's reading interest studies, reading corners, and storytelling literacy in enriching children's sensory-motor experiences. The results of this study can be used as a basis for further improvement in the management of facilities and infrastructure in the library environment which focuses on the sensory-motor development of children.&#x0D; &#x0D;
Novel Data and Processing Approaches for the Development of Hyper-distributed Applications

Although data is mostly collected in IoT devices, 80% of its processing takes place in data centers and centralized computing facilities such as clouds. This paradigm strongly relies on the network infrastructure and incurs high communication latencies and significant energy consumption while under-utilizing the computing resources embedded in the IoT devices. Fostering architectures that empower end-users leveraging the collaborative capacities of IoT, edge and far-edge devices will reduce the dependence on the Cloud and the network overload and will enable IT systems with higher responsiveness, accuracy, and energy efficiency.
Pengukuran Perangkat Lunak Menggunakan Function Point Analysis – Studi Kasus Software Akuntansi “Beecloud”

Accounting software is a must have for small and large companies. In carrying out its business the company uses special accounting software. To find out how complex the software used , it is necessary to have software measurements . Measurements use the Function Point Analysis method where measurements are measured based on their functionality. There are 3 factors used as measurement tools, namely Crude Function Point (CFP), Relative Complexity Adjustment Factor (RCAF), and Function Point (FP). Based on the results of calculations using 3 methods, the Crude Function Point (CFP) is 11548, the Relative Complexity Adjustment Factor (RCAF) is 64, the Function Point (FP) is 15330.4. From the results obtained from calculations using the Function Point Analysis method, it can be seen that the Beecloud web-based accounting software is very complex.
Q-CASA Invited Speaker Simulating Hamiltonian Dynamics with the Off-diagonal Series Expansion

I will discuss a novel quantum algorithm for simulating the dynamics of general time-dependent as well as time-independent Hamiltonian systems. Our technique is based on a power series expansion of the time-evolution operator in its off-diagonal terms. The expansion decouples the dynamics due to the diagonal component of the Hamiltonian from the dynamics generated by its off-diagonal part, which is then encoded using the linear combination of unitaries technique. Our method has an optimal dependence on the desired precision and, as I will argue, generally requires considerably fewer resources than existing schemes. Joint work with Amir Kalev and Yi-Hsiang Chen.
TATHBIIQU THARIIQAH AL-QIRA`AH FII TA’LIIMI KITAABAH MUKHTASHAR JIDDAN FII AS-SHAF AT-TSAMIN BI MA’HAD AL-ISLAMIYYAH TANJUNG UBAR HASAN NAULI PANDANG BOLAK JULU PADANG LAWAS AS-SYIMAALIYYAH

A very brief book is a grammar book that is used in the eighth grade middle school of the Tanjung Ubar Hassan Noli Islamic Institute and in its teaching the teacher uses the method of reading. The objectives of this research are: To know how to apply the method of reading in teaching a very brief book and the difficulties that students face when teaching it. In this research using qualitative research. The result of this research indicates that the teacher who teaches in this class using the reading method method is of the type of common reading in teaching a very short book and teaches the teacher by reading aloud as well as intensive and analytical reading, but some of the students are more impressed and do not like or get excited when learning in the classroom
An Automatic Cash Detector for PID Controller Based Self-service Petrol Dispenser

In this paper, we propose a design and implementation of an automatic self-service petrol dispenser that receives payment from a customer in the form of cash, instead of e-money of or credit card as those in many similar machines existing in Indonesia. Hence, the system can facilitate a vast majority of potential customers who have no access to any form of e-money, credit card, or simply because of personal preference of using cash. The experimental results show that every component can communicate smoothly; thus, relevant parts in the system received information as intended. Furthermore, the system is capable of recognizing the value and authenticity of the cash inserted to the machine using the template matching technique with an accuracy level of 95,83%. As equally important, the amount of petrol which is pumped out-flowing to the customer's tank using a PIC controller with an accuracy level of 98.22%.&#x0D; &#x0D;
ow Resource Domain Subjective Context Feature Extraction via Thematic Meta-learning

The volume of the data is directly proportional to the model's accuracy in data analytics for any particular domain. Once a developing field or discipline becomes apparent, the scarcity of the data volume becomes a challenging proponent for the correctness of a model and prediction. In the proposed state-of-the-art, a transitive empirical method has been used within the same contextual domain to extract features from a low-resource part via a heterogeneous field with factual data. Even though an example of text processing has been used for brevity, it is not limited. The success rate of the proposed model is 78.37%, considering model performance. But when considering human subject matter experts, the accuracy is 81.2%.
Net Zero Energy Low Rise Apartment in Jakarta

In Indonesia, there is a growing movement to implement energy-efficient and energy-saving building designs to combat the excessive use of fossil fuel and carbon usage that will help minimize the impact of global warming, climate change, and carbon emissions. This paper will discuss the implementation and planning of a Net Zero Energy (NZE) in low-rise apartments with zero dependence on an external source of energy in Jakarta, by approaching energy-saving components with passive and active design as well as renewable energy with solar panel photovoltaic (PV). This research was conducted using a mixed-method and assisted by the help of energy simulation software technology to be the design indicator. The purpose of the research is to learn the design process and the feasibility of implementation, assembly, and development of NZE in Low rise apartments in Jakarta. The result of the study is low-rise apartment design that can achieve Net Zero Energy in Jakarta.&#x0D; &#x0D;
Using Dramatization Method to Teach Domestic Violence in Social Studies Classroom: Implications for Peace Curriculum in Nigerian Secondary Schools

Globally, domestic violence is a significant problem and one of the most pervasive human rights challenges especially for the most part of African societies whose issues relating to partners violence is largely treated as hidden phenomenon. Domestic violence remains a hidden and persistent problem because of the power and control held by the abuser, the fear, intimidation and humiliation suffered by the victim of the crime. This study was carried out in secondary schools in Nigeria to investigate domestic violence on family relationships among couples in Ekiti state. Three research questions were raised to guide the study and three hypotheses were also formulated and tested at 0.05 level of significance. The study adopted the survey method of descriptive research design. Population is comprised of all JSS III students in social studies classes in Ekiti state. The sample of three [3] schools with one hundred and fifty (150) students were used. The schools were in three local government areas in Ekiti state. The students were taught domestic violence using demonstration method in one school and in another, using Discussion Method in another, using lecture method in the third school after which the students were served with the questionnaire designed by the researcher. Face and content validity of the instrumentation was done by the researcher together with colleagues in counseling psychology. Corrections were made. The reliability of the instrument was carried out on 30 students using the test retest method with a coefficient correlation of 0.81 obtained which implies the instrument was reliable for the study. To combat frequent domestic violence in families, the students in their formative years as recommended that peace and non-violent curriculum that will integrate the study of domestic violence, inter group conflict and development of critical thinking as well as problem solving be adopted in schools in Nigeria, since domestic violence has done more harm to couples and their relationships, this paper suggest peace curriculum in all schools for the sake of the children who will grow up to become responsible husband and wives in the future.
Bidirectional Attention Mechanism-Based Deep Learning Model for Text Classification Under Natural Language Processing

Existing text classification models based on graph convolutional networks usually update node representations simply by fusing neighborhood information of different orders through adjacency matrices, resulting in an insufficient representation of node semantic information. In addition, models based on conventional attention mechanisms are only Word vectors which are forward-weighted representations, ignoring the impact of negative words on the final classification. This paper proposes a model based on a bidirectional attention mechanism and a gated graph convolutional network to solve the above problems. The model first uses the gated graph convolutional network, selectively fuses the multi-order neighbourhood information of the nodes in the graph, retains the information of the previous order, and enriches the feature representation of the nodes. Secondly, the influence of different words on the classification results is learned through a two-way attention mechanism. While giving positive weights to terms that play a positive role in classification, negative consequences are given to words that have adverse effects of weakening their influence in vector representation, thereby improving the model's ability to discriminate nodes with different properties in documents. Finally, maximum pooling and average pooling are used to fuse the vector representation of the word, and the document representation is obtained for the final classification. Experiments are carried out on four benchmark data sets, and the results show that the method is significantly better than the baseline model.