Reviewerly/exHarmony huggingface dataset:
Social Media Influence on Pakistani Youth’s Linguistic Expressions: A Predictive Study of Resultant Changes

Social media has taken over our lives in this era of technology and globalization in many ways. Among many other impacts on the users, the language choices, and expressions, mostly preferred by youth, are manipulated and affected by such online platforms. With this in view, this research seeks to understand how social media has transformed the language expressions of young Pakistanis. It also focuses on the possible resultant changes in linguistic choices made by youth after being influenced by social media. Data was collected through previous papers to discover the research gaps, and an online survey/questionnaire was administered to fulfil this study's goal. Fifty participants were randomly selected from five educational institutions in Sialkot, Pakistan (Govt. College Women University, NISA College, University of Management and Technology, University of Central Punjab, and Govt. Murray Graduate College). The data was critically, qualitatively, and quantitatively evaluated and analyzed. Furthermore, the research findings have shown that social media language dominates youngsters' linguistic expressions in several ways. A shift could be observed from using the alphabet to signs and symbols impacting the youth's academic and formal linguistic expression in educational institutes.
Self-Regulatory Learning Activities for Metacognition in Creative Writing of SHS Grade 12 Students

Self-regulatory activities are one of the essential learning designs for the development of lifelong learning. Through self-regulatory activities, the learners practice their metacognition at school and even their working alone in the activities. Even without the teachers’ presence, students will take the initiative and be responsible in their learning. However, some students experience some difficulties working alone, in which the learning process depends on direct information from the teachers. Therefore, this study aims to identify the different types of preferable self-regulatory activities and the advantages and disadvantages of this work for the students. The research was conducted in a public school in Antipolo City with a total number of participants of (123) one hundred twenty-three grade 12 students from GAS, HUMSS, and OHS. This research utilized quantitative research using a survey questionnaire. To analyze the data, the researcher used descriptive analysis to identify the weighted mean, standard deviation, and ranking. The data showed that most learners preferred notetaking (documentation), activities/ quizzes, and assignments (study alone). While for them, self-regulatory activities help them to improve the step-by-step learning process, improve learning styles, and construct learning with their classmates. During the disadvantages, students need more time to finish activities due to working and struggle with not having references at home. The researcher suggests the following steps for improvement in implementing self-regulatory activities that improve students' learning: researching, awareness, designing, supporting, and developing.
Research on Media resource recommendation System and recommendation Technology based on Graph Neural network

In the field of artificial intelligence research, personalized recommendation technology has been rapidly developed. It can not only provide effective recommendation according to the preferences of system users, but also sort out the historical behavior and attribute information of users, and accurately calculate the content of user preferences. From the perspective of the development of the new media industry, in order to better meet the resource needs of system users, a resource recommendation system based on personalized recommendation technology can fully meet their needs for media reading. Therefore, on the basis of understanding the current research status of media resource recommendation system and technology, and according to the basic concept of graph neural network and the main structure of recommendation system, this paper mainly studies the application effect of the recommendation model of outburst neural network that integrates knowledge graph and time weight, so as to provide effective basis for media resource recommendation in the new era.
An Analysis of Errors in Present Indefinite Tense Sentences: A Case of 6th Grade ESL Learners of Sialkot, Pakistan

Reading the piece of writings in the target language is also suggested to enhance creative ability, while the basic tenets of English Grammar can also be improved through a comparative study of the grammatical concepts. The study aims to identify, discuss, explain, and categorize the grammatical errors, especially errors in present indefinite tense sentences committed by the ESL learners of 6th grade at Cantt Public High School, Sialkot, Pakistan, due to overgeneralization in written exercises. The study gathered data through a worksheet task comprising 10 items of translation sentences from Urdu to English and ten items of English fill-in-the-blanks comprised of grammatical use of present simple tense and agreement morpheme. Corder’s model (1967) of error analysis has opted to analyze the errors in the present indefinite tense. This study pays great attention to overgeneralization in Present Indefinite tense sentences of ESL learners of 6th grade. The learners overgeneralize in the use of rules used for verb forms and auxiliary verbs. The present study also found that a lack of knowledge of the rules of the target language, in addition, to overgeneralization, is the cause of such errors, for instance, the inappropriate use of prepositions. The findings suggest that teachers of English should focus their attention on the troublesome aspect of the present simple tense while also encouraging students to apply the drill practice to the study of the present indefinite tense. This study has a few limitations as it was not feasible for researchers to analyze all kinds of tenses and find all types of errors according to the opted model due to time restraints.
Sistem Informasi Geografis Sekolah di Kota Medan Menggunakan Algoritma Haversine

The Medan Education Office is one of the government agencies that has the task of managing education starting from elementary to secondary schools in Medan. At present, the management of school information data in Medan has not been integrated into a geographic information system . Therefore, it is difficult for the public to access school data because the available information is not structured and well integrated. The purpose of this study is to assist the Medan Education Office in integrating school data in a geographic information system and to make it a place for the public to find school information, distance s and route s to the nearest school. The research uses the R &amp; D (Research and Development) method which is a method for producing certain products and testing the effectiveness of the method. The research data are collect ed through observation, interview, and library research . The results of this study conclude that t he haversine algorithm applied to the built geographic information system has show n the results of the distances and routes that can be taken by the user s to get to the destination. The School Geographic Information System in Medan provides convenience to the Medan Education Office in inputting school data , helping the public access information easily .
Penentuan Prioritas Pemberian Respon Informasi Terhadap Nilai Laporan pada Helpdesk Service dengan Menggunakan Metode AHP

Helpdesk Service at PT XYZ uses Zendesk media to communicate. This study aims to determine the priority of reports that need to be prioritized by the helpdesk service in communicating through Zendesk media. The process of determining the priority of Zendesk's media report features uses the AHP method in the weighting which is then tested with the Consistency Index and Consistency Ratio to find the priority percentage. It is later f ollowed by the determination of helpdesk officers ’ activities in supporting the report criteria that need to be prioritized in accordance with the company's vision in providing services. The test results can be used as operational standards and references for helpdesk officers in carrying out their duties. From the AHP weighting and CI &amp; CR testing which are then converted to percentages, it i s found that the percentage of the First Response report criteria is 49%, followed by Solved Ticket of 31% and Agent Touch of 20%. Based on these criteria, each helpdesk can pay attention to alternative steps in responding to activities.
Sistem Informasi Geografi dan Penginderaan Jauh dalam Pemetaan Zona Longsor Lahan di Kawasan Terbangun

Landslide is a natural hazard that is quite widespread throughout the world and has caused casualties and ruined people's economic livelihoods.This study uses qualitative and quantitative methods combined with a spatial approach to analyze primary and secondary data from satellite imagery, observation, and related agencies.Data processing is conducted using Global Mapper 20, Arcgis 10.8.1 and Ermapper 8.1 softwares.The results obtained from this study show that the vulnerability to landslides is relatively high, with a large area around 51.63%.This area is spread over hilly areas.For built land, its level of vulnerability to landslide in both the high and very high categories, namely in zones Z-4 and Z-5, is caused by slopes of 25 to > 40%, with rock types with a high degree of weathering and with built-up land cover.The use of remote sensing and geographic information system in assessing landslide in the research area can be used as a guide for the proper use of land to avoid disasters that may occur.
Rancang Bangun Sistem Deteksi Kebakaran pada Ruangan Berbasis Internet of Things (IoT)

Indoor fire is usually contained by calling the fire department. However, firefighters sometimes arrive at the location when the fire burns . Room s afe ty usually only uses APAR and has not implemented a detection system to detect fire. Therefore , a system is needed to minimize the fire. The research is conducted to design and manufacture an Internet of Things (IoT) - based indoor fire detection system and to look at the characteristics of the system using methods of problem analysis, design, system assembly, characteristic test and test data analysis. The system consists of smartphone monitoring and alert by utilizing IR flame , MQ-2 and MLX90614 sensors to detect fire indications and of NodeMCU ESP8266 as a microcontroller. The results obtained a re an average error of 1.04% and accuracy of 98.92% on temperature readings , an average system precision of 93% on smoke readings and 98.8% on temperature readings. T he warning received on the smartphone is less than 2 seconds. Monitoring results in the Electronics, Robotics and Automation Laboratory room do not detect any indication of fire.
Factor Weight Analysis of Community Needs for Elderly Care Based on Crowd Attributes and Behavior Characteristics

Based on Gibson's concept of affordance and its methodological application in the design and the subject and object elements of "demand affordance, " ANP was used to solve the horizontal ties among the aspects of affordance, judge the research elements, SPSS correlation analysis was used to construct the judgment matrix, and a consistency test was conducted, establish a study on community function and behavior space design of elderly population under the dual coupling elements of functional needs and behavioral needs.
Rancang Bangun Prototype Sistem Monitoring Suhu, Kelembaban dan Intensitas Cahaya pada Tanaman Cabai Berbasis IoT

Monitoring is a very important activiti y carried out in chili cultivation. A monitoring system on chili plants designed in the form of the Internet of Things (IoT) is an electronic device that can interact directly with users who use it for monitoring and controlling devices with the help of the internet. The creation of the chili plant monitoring based on the Internet of Things (IoT) can facilitate monitoring activities on chili plants to monitor temperature, humidity and light intensity in real time without having to come to the location of chili planters. This study uses quantitative descriptive research by describing the design of a prototype monitoring system for temperature, humidity and light intensity on chili plants based on IoT and describing the results of measuring temperature, humidity and light intensity on the prototype that has been made by researchers. The results of this prototype design have the main components, namely NodeMCU ESP8266, DHT 22 Sensor and BH1750 Sensor. The results obtained for measuring temperature, humidity and light intensity in this prototype show that the R square value on the DHT sensor for temperature and humidity is 0.949 and 0.870 while for the BH1750 sensor value for light intensity is 0.998. The R square value of the sensor is in the interval 0.80-1.00. The results of the calibration measurement carried out on this prototype are considered very valid. Field test results show the sensors and outputs obtained can function very well.
Nexus of knowledge management between industry and academia via third space hybridity and career attitudes

This paper aims to explore the relationship between Protean Career Attitude, Boundaryless Career Attitude and Task and Contextual Performance mediated by Knowledge Management (KM). In this paper, KM is taken as a boundary process view, namely, Knowledge Sharing, Knowledge Integration and Knowledge Transformation. KM is taken as a mediator and the perspective of Third Space Hybridity and Knowledge Brokers have been tested. The role of boundary spanners has been investigated by empirically examining 104 employees teaching as adjunct faculty along with working in their respective fields in Karachi, Pakistan. These visiting faculties are performing the role of Boundary Spanners or Artists-Academic (Lam, 2017) and work using the knowledge from academia and organizations. A measurement model and Structural Equation Model using Partial Least Squares (PLS) technique have been applied using SMART-PLS software to test the hypotheses. While the bootstrapping method has been applied to test the mediation. The results showed that Protean Career Attitudes play a significant role in effecting both Task Performance and Contextual Performance through KM. Specifically, self-driven values (sub-dimension of Protean Career Attitudes) effect the relationship. Task Performance has a stronger effect than Contextual performance. This study discusses how the model works across different boundaries and how sharing, integration and transformation of knowledge occurs. This study will help top management in different organizations to understand the role of these boundary spanners and utilize them in the development of new products and services. The management needs to identify such individuals as they are better suited to take up the role of entrepreneurs in their organizations.
Peningkatan Penguasaan Kosakata Bahasa Indonesia Melalui Media Gambar Di SDN Rawa Badak Utara 07 Pagi

This study examines the Improvement of Indonesian Vocabulary Mastery Through Picture Media in Class II of SDN Rawa Badak Utara 07 Pagi. The results of the study show that the results of learning Indonesian through the media of images are able to involve intellectual, social and emotional abilities in an integrated manner so as to raise the potential for students to stimulate analytical thinking, be able to work together, and be able to solve problems independently. Students enjoy learning more and participate in learning with enthusiasm and enthusiasm and joy, so that the expected learning outcomes can be achieved. Learning by using image media can improve Indonesian learning outcomes. This is evidenced by the analysis of the first cycle with student learning outcomes of 67.25% and 72.00% in cycle II. Although the results in cycles I and II have increased, they have not reached the target set. Then the action of cycle III was carried out and the learning result was 76.25%. The learning outcomes in cycle III have exceeded the specified target of 75%. Thus it can be concluded that media images are able to improve the learning outcomes of Indonesian language students in class II of SDN Rawa Badak Utara 07 Pagi.
Seismicity Parameter Study of Nias Island Area Using K-means Clustering Algorithm and Least Square Method

One of the western parts of Sumatra Island that frequently experiences earthquakes is Nias Island. On Nias Island, there have been several earthquakes with large magnitudes recorded by IRIS. The earthquake destroyed facilities and infrastructure and resulted in thousands of deaths. The study of the seismicity level of the Nias Island area is one of the most feasible mitigation strategies. This study aims to classify the earthquakes that occurred into several clusters as well as determining earthquake-prone areas that have the potential to damage. Using earthquake data from 1970 to August 2022 obtained from IRIS, data processing begins by determining the optimal number of clusters using Elbow Method, seismic grouping using K-means Clustering Algorithm, and analysis of earthquake-prone areas based on seismicity parameter calculations a value and b value to each cluster use Least Square Method. Based on Elbow Method and K-means Clustering Algorithm, in this study the Nias area was devided into two clusters. Calculation of the seismicity parameter values for each cluster gives result a value cluster 0 is equal to 3.72 and b value cluster 0 is equal to 0.37 meanwhile a value cluster 1 is equal to 3.60 and b value cluster 1 is equal to 0.44. Based on these data, the areas prone to earthquakes that have the potential to damage are areas that are located on cluster 0.
The Impact Of Kampus Mengajar Program on Student Literacy Culture in Elementary School 104296 Sei Belutu

Literacy and numeracy are the fundamental skills required by students to examine a reading or numbers in a variety of circumstances. According to the research findings, pupils in Indonesia still lack literacy and numeracy skills. As a result, the Ministry of Education and Culture launched a program called Teaching Campus, which invited students to participate in teaching pupils literacy and numeracy learning, particularly at the elementary school level, as part of the Freedom to Learn Campus Merdeka (MBKM) policy. Students volunteer directly to assist schools, teachers, and students based on school conditions and existing needs. Under this, Teaching Campus students conduct AKM counseling activities for fifth-grade students to strengthen reading and numeracy competencies and prepare them for the upcoming National Assessment. The goal of this research is to discover and examine how the third batch teaching campus program is implemented. This is a qualitative study using a descriptive method. During activities, data was gathered through interviews, observation, and documentation. The results demonstrated the implementation of batch 3 of the Campus Teaching Program. The development of numeracy literacy was prioritized when teaching elementary school children. Every week, different learning methods and media are used, and the literacy results show that there are still many pupils who struggle with reading, writing, and math.
An Electronic Tool based on Bloom Taxonomy and Blueprint for Producing Lesson Plan

Thanks to computer technology, it is now feasible to carry out tasks more precisely and finish challenging issues more rapidly.Teachers must develop a course outline that includes the course's objectives, learning outcomes, and content before each new academic semester starts.High-standard tests must be prepared to evaluate student performance at the end of the semester; questions should be distributed following the Bloom Taxonomy Model, But A survey and in-person interviews were conducted at four institutions to assess how teachers had proven that; Sudanese institutions are not following standards to set up their classes using Bloom Taxonomies or lesson plans.This study has proposed an electronic tool to help teachers organize their classes, streamline the learning process, and save time and energy.A time and effort-saving computerized Tool has been developed to help teachers manage their lessons and facilitate the educational process.The findings after evaluating the Tool suggest that it might enhance teaching effectiveness in Sudanese universities.
Evaluation of water balance in the Jaro Irrigation area, Tabalong Regency, South Kalimantan Province

In the Tabalong Regency, South Kalimantan Province, many irrigation networks have not worked optimally. The Jaro Irrigation Area is one of these irrigation networks, the majority of available fields are planted with Paddy. Evaluation of irrigation water to irrigate paddy fields is very important for optimal growth and development of paddy. The objective of this research is to evaluate the water balance, the potential area for paddy field area development can be obtained by applying the optimal crop pattern. Analysis of the rainfall data used in this study with statistical analysis in the form of validation and correction of rainfall data. Rainfall data was obtained from the Tropical Rainfall Measurement Mission (TRMM) and the Meteorology, Climatology, and Geophysics Agency (BMKG) Jaro Station in the period 2013-2019, the data using statistical analysis obtained a correlation coefficient and regression equation. The regression equation is used to obtain the corrected rainfall value which will be used in the hydrological analysis. Water requirement analysis with several cropping pattern scenarios. Calculation of evapotranspiration using the Modified Penman method. The F.J Mock method is used to develop the discharge value. Dependable discharge, 80%, is used to estimate water availability. Furthermore, an evaluation of the water balance is carried out for each scenario, and the result of information on surplus or deficit conditions can be obtained each month. Analysis of water demand discharge based on planting scenarios is divided into three. First Scenario with a high-yield paddy - a high-yield paddy according to the existing conditions at the research location. The second scenario is with a high-yield paddy - high-yield paddy - beans and the third scenario is with a high-yield paddy - paddy. According to the results of the water balance evaluation for the three scenarios, the potential area can be reached up to 900 ha from 850 ha with the chosen crop pattern in scenario number 2.
ICTs in Smart Agriculture: Paths to Build SDGs of Bangladesh

This paper analyzes how the farmers of Bangladesh use modern information and communications technology (ICT) for gathering different agricultural data. Farmers of Bangladesh are being encouraged to use smart devices of information and technology such as smartphones, android phones, laptops, desktops, and electronic television for getting updates on different agricultural products, harvesting, and competitive markets. Information and communication technology includes all the devices with inbuilt human-to-human and device-to-human interaction systems. Thus, information and technology have a direct and indirect impact on rising farmers’ productivity and growth for sustainable development. This study shed light on the understanding of the effect of information and communication technology on the agricultural growth of Bangladesh for sustainable development with the help of a conclusive research design and a secondary method of data collection adopted in this research for understanding the importance of using information and technology in smart agriculture.