Reviewerly/exHarmony huggingface dataset:
A Decision Support System to Determine the Familiy’s Economic Status for Certificate of The Low-Income Household Using MAUT Method

The problem of unemployment and poverty is a significant issue that the government have yet to address completely. The number of working-age people continues to rise, yet there are insufficient employment openings to meet demand. The government then provided extensive aid to the community. The Village Information System, part of the digitization system in Laguruda Village, Takalar Regency, comprises an integrated intelligent system that can forecast the eligibility of people who come to apply for a certificate of incapacity so that they are no longer inappropriate targets. The method employed is the Multi-Attribute Utility Theory (MAUT), based on 14 criteria set forth by the Ministry of Social Affairs. The results of a 49-person sample of household heads who identified themselves as poor and in need of assistance from the Ministry of Social Affairs revealed that 57.14% were in the mediocre category, 36.73% were in the rich category, 4.08% were in the poor category, and 2.04% were in the very poor category. This information demonstrates the system's ability to filter requests for poverty certifications. On the other hand, village officials were assisted in determining the right conditions for residents to be eligible for a poverty certificate
PENGARUH HUBUNGAN ANTARA DISIPLIN BELAJAR DAN PRESTASI BELAJAR SISWA SD NEGERI DI DESA KALIWUNGU, KECAMATAN KALIWUNGU PADA SEMESTER I TAHUN PELAJARAN 2022/2023

Discipline is defined as an effort to control oneself and the mental attitude of the individual or society in developing obedience and obedience to the rules and regulations based on encouragement and awareness that arises from the heart. If it is associated with learning, the discipline of learning is more related to the mental attitude of the individual in his obedience to carrying out learning activities&#x0D; The research was conducted at SD Negeri Kaliwungu 01 and SD Negeri 02 in Kaliwungu Village, Kaliwungu District. The research sample was taken by purposive sampling. The variable of this research is learning discipline as the independent variable, which is measured by two sub-variables, namely learning discipline in the school environment and family environment. The second variable is learning achievement as the dependent variable.&#x0D; The results showed that there was a relationship between the sub-variables of learning discipline in the school environment and learning achievement, but its contribution was very weak. This can be seen from the value of the correlation coefficient is 0.064 with a significance value on both sides of&#x0D; 0.491&gt;0.05. While the sub-variable of learning discipline in the family environment also has a relationship with learning achievement with the value of the correlation coefficient is 0.183 with a significance value on both sides of 0.043 &lt;0.05. In addition, the two sub-variables are interrelated which shows the correlation coefficient value of 0.366 with a 2-sided significance = 0.000 &lt;0.05. Overall, the results of this study also show that there is a relationship between learning discipline variables (both school and family environments) with student achievement at SDN Kaliwungu 01 and 02. This relationship is known by the Kendall concordance test with a correlation coefficient of 0.539 and Asymp. Sig. =0.000&lt;0.05. These results indicate that there is a relationship between learning discipline and learning achievement. In addition, the magnitude of the effect on achievement is 53.9%.
PENGARUH STRATEGI GUIDED NOTE TAKING BERBANTU MEDIA VIDIO TERHADAP HASIL BELAJAR SISWA PADA MATERI TEMATIK KELAS IV SDN 5 RAMBANG

This study aims to determine the effect of the Guided Note Taking strategy with the aid of video media on student learning outcomes in grade IV SDN 5 Rambang subjects. The method used in this research is a quasi-experimental method in the form of One Group Fretest-posttest with a total sample of 44 students. The analytical technique used in this study is the normality test, homogeneity test, and t test using the SPSS 22 for windows software program. the posttest mean is 90.00 and the standard deviation is 6.43. Meanwhile, for the control class, the average fretest score was 67.6 and the standard deviation was 7.49, the posttest average was 83.5 and the standard deviation was 5.69. video has a significant effect on the learning outcomes of fourth grade students at SDN 5 Rambang.
Image Depth Detection System

The article will be intended to explain the Image Depth Detection System, which in turn should perform all the necessary functions for detecting objects on a 3D scene, obtaining information about the sizes of bodies, and determining distances to certain bodies. Since such systems already exist in the modern world, the main goal was to create a model that meets the requirements regarding price-quality, since systems of this type currently on the market have a high cost price. Also, the improvement of the method of determining the depth of the image in this system was created thanks to the analysis of filtering methods available in the Matlab environment. An analysis of operation in different conditions of use, i.e. in the presence of external disturbances, such as daylight on the street, has been created.
Decision Support System for Selecting KIP-K Recipients at Amikom University, Purwokerto Using the TOPSIS Method

The Indonesia Smart College Card Program (KIP-K) is a tuition assistance program (scholarship) from the Government through the Ministry of Education, Culture, Research and Technology (Kemdikbudristek). In the KIP-K scholarship selection process, criteria are needed to determine who is right to receive the KIP-K scholarship. This study aims to carry out the process of determining the ranking of KIP-K scholarship recipients based on the TOPSIS method. To determine scholarship recipients with outstanding achievements, Amikom Purwokerto University selects prospective scholarship recipients based on several criteria. The criteria used are Student DTKS Status, Parents' Income, Parents' Dependents, Average School Exams, Student Transportation Costs. The results obtained from this study are in the form of ranking obtained from the highest value to the lowest value. There were 112 prospective students who were entitled to get KIP-K scholarships out of a total of 314 applicants.
Perancangan Program Aplikasi Pengelolaan Kas Berbasis Web Pada Perusahaan Jasa Las dan Bubut

Accounting information systems play an important role in recording a company's transactions. Because it can assist companies in working on their financial reports, so that the resulting data is well organized and can speed up the data processing process. CV. RR Wasilah Teknik is a company engaged in welding and lathe services. The main problem that occurs in this company is that it is still recording transactions manually and using Microsoft excel. This results in the system not running effectively and efficiently. So, it is necessary to make a computerized application. The research method is applied to the research phase such as data collection, system analysis, system design, system implementation, and system testing. The results of the study are cash management applications that help companies record incoming and outgoing cash transactions. This application helps the system running in the company to be more effective and efficient.
Mobile Commerce untuk Sales Order dan Tracking Order berbasis MVC

Internet has become one of the important needs in everyday life. Internet access is very easy with various types of devices, one of which is mobile. This opens up opportunities for business people to serve customers in carrying out mobile-based transactions or what is called m-commerce. M-Commerce provides new innovations in the business world with the convenience it offers, making it used for new business breakthroughs, one of which is delivery service as a service that pampers buyers so they don't have to wait for goods or services ordered for days. This M-Commerce application for purchasing products or ordering services is built using the angularJS method based on the Model View Controller (MVC). This makes the software development cycle more streamlined and easy. This application provides easy service to m-commerce users because of the addition of delivery service, it is also expected to increase the purchase of goods or services on a regular basis. The conveniences obtained from this application are in the form of ordering goods which will then be delivered by the courier, tracking the courier's position while in the process of ordering, selecting products and services that are easier for users to see and viewing transactions and user history, on a mobile basis.
Comparison of Adaptive Holt-Winters Exponential Smoothing and Recurrent Neural Network Model for Forecasting Rainfall in Malang City

Rainfall forecast is necessary for many aspects of regional management. Prediction of rainfall is useful for reducing negative impacts caused by the intensity of rainfall, such as landslides, floods, and storms. Hence, a rainfall forecast with good accuracy is needed. Many rainfall forecasting models have been developed, including the adaptive Holt-Winters exponential smoothing method and the Recurrent Neural Network (RNN) method. The research aimed to compare the result of forecasting between the Holt-Winters adaptive exponential smoothing method and the Recurrent Neural Network (RNN) method. The data were monthly rainfall data in Malang City from January 1983 to December 2019 obtained from a website. Then, the data were divided into training data and testing data. Training data consisted of rainfall data in Malang City from January 1983 to December 2017. Meanwhile, the testing data were rainfall data in Malang City from January 2018 to December 2019. The comparison result was assessed based on the values of Root Mean Squared Error (RMSE) and Mean Absolute Percentage Error (MAPE). The result reveals that the RNN method has better RMSE and MAPE values, namely RMSE values of 0,377 and MAPE values of 1,596, than the Holt-Winter Adaptive Exponential Smoothing method with RMSE values of 0,500 and MAPE values of 0,620. It can be concluded that the non-linear model has better forecasting than the linear model. Therefore, the RNN model can be used in modeling and forecasting trend and seasonal time series.
Implementation of Fuzzy Mamdani Method to Classify Public Health Level in North Sumatra Province

Health is one of the most important fields aspects in people’s lives. Public health is influenced by several factors, such as environmental factors and lifestyle. Every year, the government makes a program to improve people’s health and welfare. Therefore, the government needs to obtain information about the classification of public health levels to monitor the progress of the programs that have been carried out. The research created an interface application to classify the level of public health in North Sumatra Province. The research classified the public health level using data from Badan Pusat Statistik (BPS) in 2018. Next, the application was made using the Matlab 2013b GUI. Classification of the level of public health was carried out using the Fuzzy Mamdani method that generated public health classification levels based on the inputted indicators. Then, the level of health classification was divided into four parts: low, lower middle, upper middle, and high. The result shows that for the 2018 data, some cities/ districts are still at low health levels. However, many cities or districts have good health levels. The final result can be used as a reference for the government to analyze which cities/districts should be paid attention to improve their health and welfare.
Dynamic Time Warping Techniques for Time Series Clustering of Covid-19 Cases in DKI Jakarta

The number of positive cases of Covid-19 in DKI Jakarta has contributed to the national issues, reaching 25% of the total cases in Indonesia. The research examined and modeled the distribution pattern of Covid-19 positive cases in DKI Jakarta based on 44 districts spreading over six administrative areas. The data were regarding positive Covid-19 cases in DKI Jakarta for the past year, from April 2020 to April 2021. The research related to the pattern of positive Covid-19 distribution in 44 districts was carried out by time series clustering through Dynamic Time Warping (DTW) distances and agglomerative hierarchical methods. Then, the effectiveness of the clustering process is evaluated by comparing the predicted value of Covid-19 cases between clustering and non-clustering forecast results at the city level for the next 14 days through the Autoregressive Integrated Moving Average (ARIMA) model. The results group 44 districts into 6 optimal clusters based on the pattern of positive cases of Covid-19 in each district. The highest distribution rate is in cluster A, and the lowest is in cluster F. Geographical characteristics are also indicated by clusters A, B, E, and F. Then, the results show that the Mean Average Percentage Error (MAPE) value of the clustering model ranges from 16% to 20%. The difference between MAPE values to the non-clustering model implies that the forecasting accuracy is not far apart, which is in the round of 5%−6%.
Research of high-efficiency extraction of edges of large complex components in three-dimensional point clouds

With the rapid development of the automobile manufacturing industry, major automobile manufacturers around the world are stepping up digital transformation to achieve high-flexible, efficient and high-quality automobile production to adapt to the increasingly competitive market situation. Robots play an important role in automobile manufacturing. In the process of automobile manufacturing, the performance and quality of the product largely depend on the size accuracy of the parts, so edge information needs to be tested before the product is produced and assembled. At the same time, in the field of path planning, people need to obtain geometric feature information such as the edge of components in advance. However, large components are due to various the accuracy of the error needs to be scanned on the spot, and then processed after obtaining the point cloud. In this paper, a new method for quickly extracting edge contours from large-scale point clouds is studied. In the process of finding edges in two-dimensional images, some optimizations have also been made to make them more suitable for edge extraction of such plane structures. We also demonstrated the application of this method in a bus and compared it with two traditional methods.
INVESTIGATING EFL VOCATIONAL HIGH SCHOOL STUDENTS’ SPEAKING PERCEPTION THROUGH INSTAGRAM VLOG

The growth of technology in industry 4.0 was really fast and unimagined. The development also happened in the education field. The use of technology was helping teachers and students to develop their competencies. This study was conducted to investigate vocational high school students’ views of speaking through the use of Instagram vlogs in English courses. Thirty-two students’ perceptions toward the use of Instagram vlogs in learning English speaking skills were studied. The result was presented in the form of descriptive analysis using the mean and percentages. Moreover, there were three open-ended questions to give further information on students’ perspectives on learning English speaking skills through Instagram vlogs. The result indicated that Instagram vlog helped students to learn English better, improve their vocabulary, and widen their knowledge.
DEVELOPING CTL-BASED AUTHENTIC READING MATERIALS FOR STUDENTS OF MINING ENGINEERING STUDY PROGRAM AT POLITEKNIK NEGERI KETAPANG

This study aimed to design an authentic reading material for students of Politeknik Negeri Ketapang Program Studi Teknik Pertambangan. The goal was to design teaching material thus the students understand the text being read if the content is close to the students’ environment. The content of the product was based on the instructional objective mentioned on the syllabus. Each unit of the learning material design discusses different topics by implementing the components of Contextual Teaching and Learning (CTL). The components of Contextual Teaching and Learning were divided into three main activities, warm-up (pre-activity), whilst activity, and post activity). The participants of the research were the second semester students of Mining Engineering study program, consist of 43 students. The result of this study was described qualitatively. The results indicated that the materials were already effective and practical, it covered the students target language and the field of study, understandable and interesting. Lecturers and students can use this material easily, it can increase the students’ interest (practicalities). The material design provided new learning content, set with students’ interest, and provided the students with the clear target in learning (effectiveness).
THE EFFECT OF USING INSTAGRAM CAPTION ON STUDENTS’ VOCABULARY MASTERY AT TWELFTH GRADE OF SMA AL-AZHAR 3 BANDAR LAMPUNG.

Abstract: The phenomenon of Instagram users arising in Indonesia who shares about learning English independently, specifically learning vocabularies in this case Instagram caption, underlies this research to be studied profoundly. The objectives of the research were (1) to gain an overall picture of students’ vocabulary mastery in learning vocabulary through Instagram captions, (2) to find out students’ interest in learning vocabulary through Instagram. This journal used a mix-method. To collect the data used, vocabulary tests and interviews. The result showed that there was a statically significant difference between the students taught with the Instagram caption and the original way approach. It is revealed from the t-value, which is higher than the t-table with a significance level of less than 0.05. the result of the data, the researcher found the things that make students' interest in learning vocabulary through the Instagram captions. The data findings show that the majority of students are interested in learning vocabulary through Instagram because it was effective for them.Keywords: Instagram, Social Media, Caption, Vocabulary, Students’ interest.
Pengaruh Penggunaan Google Jamboard terhadap Hasil Belajar Mahasiswa Produktive Sprachfertigkeiten

This research aims to describes the influence of google Jamboard on the learning outcomes of students on Produktive Sprachfertigkeit Aufbaustufe A2.1 (writing skills). The research was carried out at the German department-Pattimura University,and the sample were the German learners from the 2nd semester to participate in the course Productive Language Skills Advanced Level A2.1 (Writing Skills). This research has two variables, namely Google Jamboard as an free variable and the learning outcomes as a bound variable. The research methods were experiment. The data were obtained in the first examination (pre-test) and from the second examination (post-test). The data were checked with t-test and the result of the analysis showed that t - value is greater than the t-critical value (8,40 &gt;2,9). This means, it is a positive influence of Google Jamboard on the learning outcomes of students.
THE EFFECT OF SELF-REGULATED STRATEGY DEVELOPMENT (SRSD) ON STUDENTS' WRITING MOTIVATION IN RECOUNT TEXT

The study deals with an experimental research design which seeks for the effect of Self-Regulated Strategy Development (SRSD) on students’ writing motivation in recount text. 52 students at the tenth grade students of MAS Al Washliyah 29 Binjai on the first semester in academic year 2021/2022 were taken as the samples of the study. The research instrument used by the writer in collecting data was post-test. It was conducted in order to know the flexibility on students’ writing ability material between learning process with small group discussion and learning process through Self-Regulated Strategy Development (SRSD). The final data then was analyzed by using Paired-Samples T Test analysis shown that the significance (sig) 2-tailed value 0.000000 was lower than the significance level (0.05) and determined that coefficient of tcounted was 24.787 signifying higher than the ttable coefficient (2.05954) with significance level (α) = 0.025 (2-tailed) with degree of freedom (df) = 25. This means that there is a significant effect of Self-Regulated Strategy Development (SRSD) on students’ writing motivation in recount text at the tenth-grade students of MAS Al Washliyah 29 Binjai in academic year of 2021/2022. Therefore, Ha was accepted and H0 was rejected.
THE EFFECT OF USING ENGLISH SONG IN TIKTOK VIDEO ON STUDENTS’ READING ABILITY OF 2021/2022 NINTH YEAR STUDENTS OF SMP SWASTA KARYA BAKTI SELESAI

ABSTRACTThe objective of this study is to find out whether there was an effect of using English song in TikTok Video on students’ reading ability of 2021/2022 ninth year students of SMP Swasta Karya Bakti Selesai. The design in this study was quasi-experimental design by using post-test non-equivalent control group design. This study was conducted with ninth grade students of SMP Swasta Karya Bakti Selesai as the population of study. The sample was taken by using cluster random sampling, with 40 students as the sample of this study. The researcher used class IX-A which consist of 20 students as the experimental class and IX- B which consist of 20 students as the control class. The researcher used test as the instrument of collecting the data. The data collected from this study were analyzed using t-test formula. The results of this study that was a positive effect of the result students’ reading ability after using English song in TikTok video as media. It can be seen from the data analysis, it was found that value of t-observed (t0) was higher than t-table (tt). The result from calculating the data was t-observation (t0 = 3,48) and t-table (tt =1,686 ), it means, t0 is higher than tt in significant 5%, so the null hypothesis (H0) is rejected, and the alternative hypothesis (Ha) is accepted. In other words, using English Song in TikTok video had effect on students’ reading ability of 2021/2022 ninth year students of SMP swasta Karya Bakti Selesai. Key Words : English Song, TikTok, Reading Ability
Tiered Reading Program: A Case Study in Grade Two of A Private Elementary School in Central Java

Developing students’ reading skills is highly required to be taught to the students from their young age since it affects the students’ achievement in learning . One of the private elementary schools in Central Java has been implementing a reading program called “tiered reading” for almost a year. The purpose of this study was to explore the implementation of the tiered reading program in grade two in one of the private elementary schools in Central Java. Four teachers who taught in four different paralel classes were the participants of this research. This case study utilized teachers interviews, classroom observations during the implementation of tiered reading program and documents collections such as worksheets and story books the teachers used. The data were analyzed by coding, categorizing and developing themes. The data analysis revealed three important themes; contradictory meaning between the teachers’ concept understanding and the teachers’ teaching strategies in the classroom. Reading for fluency and for remembering are the other emerging themes. The research concluded that the implementation of tiered reading was oriented to mechanical reading skill and literal comprehension reading