Reviewerly/exHarmony huggingface dataset:
STUDENTS’ LEARNING STYLE AND READING COMPREHENSION ACHIEVEMENT: A CORRELATIONAL ANALYSIS

This study aimed at finding out whether there was significant correlation between students’ learning style and reading comprehension achievement. It utilized correlational research method. The eleventh-graders of Madrasah Aliyah Negeri 2 Palembang in academic year 2020/2021 were the population of the study. The sample was 107 students selected by using purposive sampling technique. Students’ learning style questionnaire and reading comprehension test were the instruments for collecting data. Both instruments were validated before they were distributed to the sample. The data were analyzed using Pearson product moment. The finding revealed that there was no significant correlation between students’ learning style and reading comprehension achievement of the eleventh graders of Madrasah Aliyah Negeri 2 Palembang since the p-value (0.845) was lower than 0.05. The r value was 0,024, which showed that there was low correlation between students’ learning style and reading comprehension achievement of the eleventh-grade students of Madrasah Aliyah Negeri 2 Palembang. Based on the finding, it can be concluded that the students’ learning style did not give dominant effect to reading comprehension achievement. It is shown that there was no significant correlation between students’ learning style and their reading comprehension achievement of the eleventh graders of Madrasah Aliyah Negeri 2 Palembang.
ENHANCING ELEVENTH GRADE STUDENTS' WRITING ABILITIES IN DESCRIPTIVE TEXT BY USING RUNNING DICTATION (RD) TECHNIQUE

The goal of this study is to see if there is a significant difference in writing abilities between students who are taught using running dictation and those who are not. The quasi-experimental method was used in this study, with a nonequivalent control group design. The population consisted of all eleventh-grade students at Vocational High School Rawas Ulu during the academic year 2021/2022. There were six classes totaling 280 students. The sample included 11.TKJ 1 as the experimental group and 11.TKJ 2 as the control group, selected using purposive sampling. The data was analyzed using the paired sample t-test and the independent sample t-test. Following the findings of this study, the average post-test was 69.31 for the control group and 74.38 for the experimental group. The independent sample t-test results show that the value of sig. (2-tailed) was 0.00 less than 0.05 at the level significant 0.05. While the obtained t-value was 11.809 higher than the critical t-table value of 1.664 with degree of freedom 78, As a result of the test calculation of the independent test t-test the t-obtain &gt; t-table, the null hypothesis (Ho) is rejected, and the alternative hypothesis is accepted. It means that using the Running Dictation technique to teach writing achievement in descriptive text is effective.
Running Text Information System Design Internet-Based for Small Outlets

&lt;p&gt;Currently, there are many small business outlets that have opened branches in many places. With the spread of outlets that are far apart, it becomes a problem for the owner to be in a certain place on a display board that is installed at a height in each of his outlets. Display boards that are commonly used as promotional media and usually show product prices/interesting information are running text boards. In some studies there are those who make ESP as an access point, so that it can only be accessed within the range of the access point. So it cannot be accessed remotely. To facilitate this information, in this study, we designed an internet-based mobile text information system using the ESP32 Microcontroller and the Message Queuing Telemetry Transport (MQTT) protocol, as well as a display board (DMD LED Panel P10). By using an android-based mobile device that is owned by almost everyone and then equipped with the MQTT application, it is hoped that information will no longer be constrained by distance and the absence of a computer device, as well as the limited number of computer operators.&lt;/p&gt;&lt;p&gt; &lt;/p&gt;&lt;p class="IndexL-MAG"&gt; &lt;/p&gt;
IMPROVING SECONDARY STUDENTS’ READING COMPREHENSION THROUGH QUESTION-ANSWER-RELATIONSHIPS (QAR) STRATEGY

This research aimed to improve students’ reading comprehension achievement using Question-Answer-Relationship (QAR) strategy and to determine students' perception toward the application of QAR strategy. The research design was a pre-experimental design. The population in this research was seven grade students of SMP Tri Dharma consisting of three classes, namely VII A, VII B, VII C. The researchers used 33 students of class VII B as the sample for this research. This research used reading test and a closed ended questionnaire to collect the data. This research used paired sample t-test and percentage analysis to analyze the obtained data. The results of paired sample t-test showed that t- obtained was 25.438 and p. was 0.000 (p&lt;0.05). This means that there was a significant improvement in students' reading comprehension after being taught with the QAR strategy. The results of percentage analysis showed that the students' perception of the QAR strategy was positive. It perceived that the QAR strategy was effective to help the students improve their reading comprehension achievement significantly. Those findings indicated that the QAR strategy was effective in improving students' reading comprehension achievement of descriptive texts for the seventh graders of SMP Tri Dharma Palembang in the academic year 2021/2022.
THE RELATION OF THE ABILITY OF IMPERATIVE SENTENCES AND THE WRITING SKILL OF JUNIOR HIGH SCHOOL STUDENTS

One of the texts used in daily life is procedure text which requires imperative sentences to accomplish writing procedure texts. Procedure text is one of many short functional texts in writing that should be mastered by the students in ninth grade learning English. Thus, this study aims to find out whether there was a significant correlation or not between the ability of imperative sentences and the writing skill of procedure text. The population was ninth-grade students with a total of 67 students at SMP Azhariah Palembang. For the sample of this study, the intake sampling technique was used to take the sample with 67 students. The data were obtained from students’ imperative sentence scores and their writing procedure text scores. In analyzing the data, correlation analysis was used. Based on the statistical analysis, it was found that the correlation coefficient or the r-value (0.294) was higher than the r-table (0.236). It can be concluded that there was a correlation between the ability of imperative sentences and the writing skill of procedure text. Some students had a minimum level of imperative sentence test but they were able to create good writing procedure tests. Some other factors might influence their result in the two tests such as their concentration, experience, habit in writing, etc.
PROMOTING STUDENTS’ SPEAKING ACHIEVEMENT THROUGH REPORTING TECHNIQUE

This research aimed to promote the speaking achievement of the second STIK Bina Husada Palembang midwifery students using reporting technique. This research used a quasi-experimental method, with a non-equivalent group design for the pre-test and post-test. The population consisted of 38 students who were as sample from STIK Bina Husada Palembang's second-semester midwifery students. The sample taken by using total sampling technique to obtained the sample. In collecting the data, a speaking test was utilized. The test was found to be both valid and reliable. The value of t-obtained (5.59) was greater than t-table (2.02) at the significant level of ρ 0.05, according to the results of the independent t-test. It was concluded that the reporting technique could promote students’ speaking achievement. It meant that this technique could help students improve their speaking skills. The reporting strategy proved effective in teaching second-year midwifery students how to interpret a recount text. As a result, it can be concluded that reporting technique can be used by students to improve their speaking English, and teachers can use this technique in teaching and learning the students in order to increase and motivate the students' speaking in STIK Husada Bina.
IMPROVING EIGHTH GRADERS’ READING COMPREHENSION ON DESCRIPTIVE TEXT THROUGH PORPE STRATEGY

This study was aimed to find out whether there were any significant differences in reading comprehension on descriptive text through PORPE (predict, organize, rehearse, practice, evaluate) strategy and those who were not. There were 66 students of eighth graders of SMP Negeri 13 Palembang were involved in this study as the sample, the experimental group consisted of 33 students and the control group consisted of 33 students. The method of this study was quantitavie method with a quasi experimental design. The experimental group were taught by using PORPE (predict, organize, rehearse, practice, evaluate) strategy. The control group were taught by using discussion strategy. The result of paired sample T-Test in control group showed the value of t-obtained was 6.508 at the significance level 0.000 with degree of freedom was 33 (1.669) and the significance (2 tailed) was lower than 0.05. The result of paired sample T-Test in experimental group showed the value of t-obtained was 5.003 at the significance level 0.000 with degree of freedom was 33 (1.669) and the significance (2 tailed) was lower than 0.05. The result of independent t-test from experimental and control group shown that t-obtained was 1.742 and it was higher than t-table 1.669.
NARRATIVE REVIEW ON INTEGRATING TECHNOLOGY INTO INSTRUCTION TO SUPPORT FOR THE NEW PEDAGOGICAL DEEP LEARNING (NPDL)

The curriculum is dynamic and changes over time. Many factors impact changes in the developed curriculum, and commonly, the factors are related. The factors include changes in government policy, the requirement of the accreditation bodies, the technology advancement, the need for changes in an unexpected situation, the new skills demanded by the industries, and the current trend in education. New Pedagogical for Deep Learning (NPDL) is an example of current trends in education. The NPDL has changed from the old pedagogy, which focuses on the student mastering the content, to the new pedagogy, which focuses on students discovering and mastering the content together through deep learning. In Malaysia, NPDL has been implemented in Institut Pendidikan Guru Malaysia (IPGM) since 2016. They have developed seven modules of the Digital Tools and Resource for School Transformation Program (TS25), wherein the modules systematically nurture deep learning by benefiting the technology and digital. Technology in digital learning is one of the core elements of NPDL, and it plays an essential role in ensuring the success of NPDL implementation. Hence, this article is aimed to make a narrative review of the needs, impacts and challenges in integrating technology into instruction to support the NPDL for Malaysia case. The recommendation is also provided at the end of the article.
Rancangan Virtual Private Server Pada Kantor Kelurahan Menggunakan ZeroTier

Banyuanyar Village is a guided village developed by the Boyolali Regency Government to become an internet village. The operational activities of the Banyuanyar Urban Village Office also utilize the existing internet network. However, its use is still not optimal and is at risk of being attacked because it uses the same network as general internet users and the Banyuanyar Urban Village Office does not yet have a central server as a database due to limited funds and technicians. Because of this, the activities of the staff who work become sluggish and less effective. Therefore, it takes a Virtual Private Server Design that is useful to support performance. This design uses ZeroTier which can be used as an open-source VPS and VPN and has the latest technology. This research provides effectiveness and security regarding data transfer and network in the Banyuanyar Village Office. Because ZeroTier can be controlled and supervised by admins who can later provide convenience in network management.
Sistem Pakar Menggunakan Teorema Bayes Dalam Rekomendasi Penentuan Jenis Anestesi Pada Pasien

This study discusses the problem, namely the process of determining the type of anesthesia for patients before carrying out surgery. In determining the appropriate type of anesthesia based on the conditions experienced by the patient, generally anesthesiologists or anesthesiologists still use the common method, namely by conducting interviews related to the symptoms experienced by patients before anesthesia is carried out on patients who will be operated on. Then the anesthesiologist will write down the results of the interview in the form of a written report and will adjust the results of the interview related to the symptoms experienced with the existing anesthesia guidelines. And this will certainly take more time in adjusting the results of the patient's symptoms to the type of anesthesia that will be given. Along with the rapid development of technology, determining the type of anesthesia that will be given to the patient before it is carried out can be overcome by building an information system that is able to adopt the process and way of thinking of humans, namely Artificial Intelligence or artificial intelligence which is often called the Expert System. In this case, a smart application in determining the type of anesthesia in android-based patients is designed using the Bayes Theorem calculation method, and it is possible for an anesthesiologist and anesthesiologist to administer anesthesia to a patient before a patient steps into the operation stage. Thus, it can also cause work productivity to increase and the time used to complete the work is getting shorter
Penerapan dan Implementasi Metode Certainty Factor Dalam Sistem Pakar Diagnosa Awal Gangguan Menstruasi PALM-COEIN

Menstrual disorders are changes that occur in the cycle, the amount of blood, and other changes related to the menstrual cycle. Menstrual disorders are often considered a common problem that can affect daily activities. Menstrual disorders that are ignored on an ongoing basis can cause various reproductive system disorders and are also an early sign of dangerous diseases. Many women ignore the menstrual disorders they experience because they are constrained in consulting a doctor both in terms of time, distance, and cost. To help overcome these obstacles, an expert system can be a solution. This expert system is made using the certainty factor method which consists of 43 symptoms with 7 types of disease. This system produces output in the form of a percentage of the type of possible disease experienced by the user and suggestions based on the symptoms selected by the user. The expert system built is expected to be a medium of information about menstrual disorders and can contribute to providing benefits to the community, especially women, to make an initial diagnosis of menstrual disorders experienced without being constrained in terms of time, distance, or cost
Sistem Pakar Dalam Penentuan Mustahiq Zakat Menggunakan Dempster Shafer

Zakat is one of the obligations for a Muslim and is one of the five pillars of Islam. In the zakat system, it consists of two elements, namely Mustahiq (who has the right to receive zakat) and Muzakki (who has the right to pay zakat). Based on interviews conducted by the author with the Amil Zakat Infaq Shadaqoh Muhammadiyah Institute (LAZISMU) Sunggal District, Deli Serdang Regency, lies are often found because the system used is still manual in identifying the eligibility of zakat mustahiq, most of which are falsification of income data and data that have received assistance. This causes the distribution of zakat to be uneven. This study builds a system that can provide knowledge to the public, especially Muslims, about mustahiq zakat and its criteria. In the study, the development of an intelligent system that is able to identify mustahiq zakat which is computed into an Android-based application which will then be used globally by the community to identify whether a person is included or not included as mustahiq zakat. As for building the application in this study, the Dempster Shafer method based on the Expert System is used in order to produce an output that can be right on target in accordance with the expected target. The results of the study used 11 criteria, 8 asnaf and 12 rule based. The results obtained from the system testing carried out can be said that the system that has been built is able to assist in the process of systematically identifying zakat mustahiq with the expected system output
Analisis Kinerja Algoritma Machine Learning Untuk Klasifikasi Emosi

Social media is a place to express or share daily activities. Various new events are often discussed on social media, such as on Twitter. Frequently, the conversations conducted by Twitter users when giving a review or opinion have various emotions, such as anger, sadness, fear, or joy. Emotions are difficult to describe the challenges that occur, sometimes leading to multiple interpretations and misunderstandings leading to debates and reporting to the authorities. So this shows that emotions in reviews and opinions are essential for classification because emotions that come from texts are difficult to understand. In addition, the classification of emotions needs to be done to speed up the identification of emotions. The purpose of this study is to find out which algorithm has optimal performance in the classification of emotions. Machine Learning methods are the Naïve Bayes algorithm, Random Forest, and Support Vector Machines; this is done to determine the dominant algorithm in classifying emotions. The results of the modeling and classification using the Random Forest algorithm obtained a dominant accuracy with an accuracy value of 81.3%, followed by the SVM algorithm with an accuracy value of 76.6% and an accuracy value of 79.1% Naïve Bayes algorithm. In addition, from the speed of time in completing the classification, the Random Forest algorithm has the fastest time of 1.27 seconds
Analysis of pantun writing skills of class v students of SDN Sirnagalih 2

Background: Skills are the focus of experts, one of the skills that must be achieved is the skill of writing rhymes.&#x0D; Purpose: this study aims to determine the extent to which students are able to make poetry works that are carried out at SDN SIRNAGALIH 2, Bogor Regency.&#x0D; Design and methods: The type of research method used in this research is Descriptive Qualitative Method.&#x0D; Results: The results of the analysis of several rhymes written by class V students have fulfilled the theoretical rhyme requirements (Masruchin, 2017). However, a rhyme that rhymes a-a-a-a is found, but the results of this paper can still be said to be a rhyme because it is in accordance with the theory (Attas, 2022) and (Pasaribu, 2021). The students' rhymes written in one line have 6-14 syllables but are still said to be rhymes because they are in accordance with the theory (Riandi, 2020) and (Mutohharoh et al., 2018). It can be concluded that not all rhymes written by students of class V at SDN SIRNAGALIH 2 meet the theoretical rhyme requirements (Masruchin, 2017).&#x0D;
ANALYSIS OF KAMPOENG RADJOET’S CONTENT MARKETING STRATEGY

&#x0D; &#x0D; &#x0D; &#x0D; Fashion is one of the characteristics of a person showing his lifestyle (life style), especially for women who are more concerned with appearance than men. The fashion trend that is back in popularity in 2020 is the knitted fashion trend, where the age range who likes knitting fashion starts from teenagers to the elderly. The impact of the Covid-19 pandemic has made knitted fashion trends have an effect on sales of Kampoeng Radjoet products because it is seen based on product innovations launched by Kampoeng Radjoet using the concept of handmade manufacture, as well as quality materials so that this knitted product becomes a positive value among the public. society, especially among young people who no longer view knitting as clothing for the elderly or the elderly, but make this knitting a fashion that has high value and is beautiful to look at. In addition, the existence of less intense competition has made Kampoeng Radjoet products a unique product so that sales during the Covid-19 period have increased compared to before.&#x0D; This research aims to analyze the content marketing strategy of Kampoeng Radjoet that has been carried out and its effect on the level of sales. The research method used is qualitative research methods. The data collection technique used is using 4 kinds of data collection techniques, namely observation, interviews, documentation, and triangulation/combination. The triangulation/combined technique used consists of 3 techniques, namely, participatory observation, in-depth interviews, and documentation.&#x0D; The results of the study show that the content marketing strategy carried out by Kampoeng Radjoet has had an influence on sales, but there are still many shortcomings that need to be corrected, especially in the content marketing on social media that it uses.&#x0D; &#x0D; &#x0D; &#x0D;
Sentiment Analysis Against IndiHome and First Media Internet Providers Using Ensemble Stacking Method

Customer satisfaction is one of the factors that can be used to measure the success of service in a company. In the era of the 2000s until now, internet service providers have continued to grow throughout the world, including in Indonesia. IndiHome and First Media are companies that provide internet services that make it easy for the public to communicate and obtain information. With many uses of IndiHome and First Media internet services, there are often several obstacles that cause various responses from users. Users usually channel these responses to IndiHome or First Media customer care on Twitter. The dataset for this study was obtained from Twitter using the Twitter API and the Tweepy library. The dataset that has been collected is 6.962 tweets for the IndiHome dataset and 8,089 tweets for the First Media dataset. This study conducts sentiment analysis using the Ensemble Stacking with three base classifiers and a meta classifier. The base classifier used is Naïve Bayes, K-Nearest Neighbor, and Decision Tree, while the meta classifier used is Logistic Regression. This study uses the term frequency-inverse document frequency (TF-IDF) to determine the frequency value of a word in a document. This study uses two test scenarios: testing without oversampling and testing with oversampling on the dataset. The results show that Ensemble Stacking with term frequency-inverse document frequency feature extraction produces the highest accuracy, with an accuracy value of 88.27% on the IndiHome dataset and 92.56% on the First Media dataset by oversampling on both datasets.