Reviewerly/exHarmony huggingface dataset:
RANCANG BANGUN PERTANIAN STROBERI BERBASIS INTERNET OF THINGS

Technological developments have been utilized in various fields of science, includingagriculture. Technology support in agriculture has been proven to be able to provide betterproduction results. In this study, an IoT-based agricultural environmental monitoring systemwas developed. The system was built using Raspberry Pi as a microcontroller and dataprocessing center, equipped with a moisture sensor and a DHT 11 temperature sensor. Thissystem was applied to a laboratory-scale strawberry farm. The system works automatically toregulate the temperature and humidity of the plant environment. If the temperature andhumidity of the strawberry plants do not meet the standards, the pump will automatically waterto keep the strawberry plants at the appropriate temperature and humidity. The system is alsoequipped with a notification feature so that strawberry farmers can obtain information throughtelegram media when the temperature of the strawberry plants is hot and the soil of thestrawberry plants is dry. This tool is also equipped with a webcam camera as an additionalfeature that serves to detect the level of ripeness of the strawberries in terms of the color of thefruit. The camera will detect the color of the strawberry, and if the strawberry is red, thestrawberry is categorized as ripe, and the farmer will get a notification via telegram in the formof a picture that the strawberry is ready to be harvested.
THE SYSTEM OF SUPPORT FOR THE DIDACTIC DESIGN OF ACADEMIC DISCIPLINES OF THE HUMANITIES AND SOCIO-ECONOMIC CYCLE

The article presents a software package that allows to support the design of teaching materials by a teacher of disciplines of the humanities and socio-economic cycle. The problems of the organization of didactic design by a university teacher with the need to compile directly by an expert teacher supporting lecture notes and other methodological materials, including the need to select a number of literary sources taking into account their specifics for different educational tasks and types of educational activities, are presented. The problems of adaptation and development of methodological materials to changes in the ontology of the subject area are discussed, for example, in connection with changing trends in the scientific environment, when established positions are transformed, which creates a problem for the teacher to additionally engage in didactic design and adjust teaching materials. Thus, there is an urgency of automatic analysis of text materials, which will significantly reduce the complexity of this process when developing, making changes and adapting courses of humanitarian and socio-economic orientation. The step-by-step process of transition from the competence-oriented requirements of the subject area to the functional requirements of the information system is analyzed, on the basis of which a decision-making model was formulated that closely imitates the process of didactic design, subject to automation, and allows using software tools to control its logic. The results of the infological and physical design of the system are presented, including a database model and a deployment diagram using an object-oriented modeling language. Methods and tools of software implementation of the application are discussed with justification of the relevance of their choice for the software solution of the task. The results of the system's operation confirm its functional suitability, and the results of testing allow us to judge a significant reduction in the complexity of the didactic design process by the teacher. The developed tool can be widely used both in the development of educational and methodological materials of the main literature, and for the methodological equipment of the organization of independent work of students.
ANALISA METODE SHANNON ENTROPY DAN DIFFERENTIAL EVOLUTION UNTUK KOMPRESI GAMBAR

One of the most important phases in image storage is compression. Most current imagecompression methods are spatial. In this article, we present an image compression techniquebased on Multi-level Thresholding. The grayscale images are divided into groups based on thenet probabilistic division. To determine the grouping uncertainty, Shannon Entropy is used.Optimization methods have also been added to obtain more optimal settings. DifferentialEvolution is an optimization technique. Image histogram is a graph that depicts the distributionof pixel intensity values of an image. Image compression performance measurement wasmeasured using FSIM (Feature Similarity Index Measure) and SSIM (Structural Similarity IndexMeasure).
PERANCANGAN ALAT PENDETEKSI PENEBANG LIAR MENGGUNAKAN SENSOR SUARA BERBASIS IoT-RASPBERRY PI

Protected forest areas have the main function of protecting life support systems. The protected forest area of ??Ekasari Jembrana Bali has an area of ??1.603 hectares. In the Ekasari protected forest there are many illegal logging actions. In 2020 there were two cases of wood theft. The types of wood stolen were reed and rosewood. In addition to these two cases, in 2018 to 2019 there were more than 10 cases of illegal logging that occurred, it is necessary to have a tool that is able to detect the occurrence of illegal logging in protected forests. The working system of this tool uses a Pi NoIR camera module to take pictures and a sound sensor FC-04 to detect the sound of a chainsaw with a value of 55 dB. This tool uses a Raspberry Pi microcontroller which functions to receive and process data, so that it is able to display warnings on websites and telegram applications. This tool has a detection range of 1,1304 hectares, so 1.418 tools are needed in the entire protected forest area of ??Ekasari Jembrana Bali.
Advantages Children May Gain from Participating in Creative Dance Lessons While Attending a Public Elementary School

Instead of being seen as an essential component of the core curriculum, creative dance is often considered to be within the purview of the physical education department. In order to determine whether or not creative dance can be categorized as experiential learning for children aged 5 to 12 who are engaged in standard state education, the primary objective of this study is to conduct a literature review on the benefits of creative dance for this population. This will allow the researchers to determine whether or not creative dance can be categorized as experiential learning. The literature study included key phrases from a number of different databases, and it arrived at possible advantages that may be articulated within the context of experiential learning. The research indicates that creative dance has positive effects on socioemotional, arts-based, transferrable, physical, embodied, and cognitive learning. Considering creative dance to be a kind of hands-on education may lend credence to the idea that it should have a more prominent place in the instructional framework. Through a study of the relevant material, this essay reinterprets the function that creative dance plays in the educational development of young children. If the advantages of creative dance as well as its method were recast as experiential learning, then maybe it would have a more prominent position in the curriculum.
THE EFFECTIVENESS OF PAIR WORK IN TEACHING SPEAKING

This research was an attempt to find evidence of the influence of the Pair Work Technique on speaking ability. It was conducted at SMPN 2 Sa’dan with a total of 34 students. This study was carried out by Speaking test and Questionnaire in the classroom. It was conducted in 6 meetings. To determine whether the Pair Work Technique for the teaching of speaking was effective, a speaking test was given at the Experimental group in IX-A class to know the students’ speaking ability. The percentage of the students’ speaking ability in Pre-test, namely; 1) 0% students were got excellent, good, and fair category, 2) the percentage of the poor category was 10% (there are 2 students), 3) the percentage of the very poor category was 90% (there are 18 students). And the percentage of the students’ speaking ability in Post-test, namely: 1) the percentage of the excellent category was 0%, but 2) the percentage of the good category was 10% (there are 2 students), 3) the percentage of the fair category was 85% (there are 17 students), 4) the percentage of the poor category was 5% (just 1 student), 5) the percentage of the very poor category was 0%. While to determine whether the Pair Work Technique for the teaching of speaking was effective, a questionnaire was given in the Experimental group to know the students’ motivation. The percentage of the students’ motivation it was found that: 1) the percentage of the strongly motivated classification was 15% (there are 3 students) 2) the percentage of the motivated classification was 75% (there are 15 students) 3) the percentage of the fairly motivated classification was 10% (there are 2 students). It can be concluded that the Pair Work Technique was effective to improve the students’ speaking ability and students’ motivation for the 9th-grade students of SMPN 2 Sa’dan North Toraja in the academic year 2020/2021.
PERANCANGAN SISTEM PENGUNCIAN RODA SATU ARAH UNTUK MENGEMUDIKAN KENDARAAN RODA EMPAT DI JALAN MENANJAK

Handbrake of a vehicle is the most important thing in a safety system in maintaining theposition of the vehicle in its stop position. The hand brakes function to brake or lock the rearwheels mechanically through the connecting rods and cables. The hand brake is also to parkthe vehicle on a down/climb road. In order to facilitate the ability of four-wheeled vehicles whenstopping on the ramp due to traffic jams, a special wheel locking system is used on the ramp. Ina one-way wheel shooting system when a four-wheeled vehicle stops on the ramp, the systemlocks the wheel when the wheel rotates slightly backwards without having to pull the handbrakelever. Therefore, this research aims to describe how the work of the one-way wheel lockingsystem when on the ramp of a four-wheeled vehicle. At the design of this system researchersmake prototype as a simulation system that is approaching similar to the shape of componentsof a four-wheeled vehicle. Researchers perform test system work when the prototype movesforward and backwards to find out if the system is capable of locking the wheels when the moveis backward and release the locking wheel when moving forward without using the hand brake.Using a one-way wheel locking system is expected to facilitate the driver in driving four-wheeledvehicles on the ramp without having to use the hand brake.
SISTEM INFORMASI PELACAKAN KERUSAKAN LAPTOP DENGAN DUKUNGAN MODUL SISTEM PAKAR

Thexhighxusexofxlaptops today by individuals will affect the condition of laptop andcausing various damage to the laptop itself. The limited knowledge by user solving the problemson a laptop make user have to consult an expert technician to obtain a solution for existingdamage. On the other hand, many and varied defects of laptops, as well as the hectic tasks thatmust be performed by technicians, causing problems on the side oftechnicians.xUtilizationxofxinformation technologyxcanxbexaxsolutionxtoxovercomexproblemsbetween users and technicians. By building a web-based expert system to get the result ofdamage diagnosis and repair solutions, hopefully it can help users find out what problems ontheir laptop and make it easier for technician to deal with damage. This research using webbasedforward chaining as system method. This system can display the results of a laptopdamage diagnosis that it come from symptoms asked by system and repair solution fromdamage diagnosis. Basedxonxthextestxresultsxusingxblack boxxmethod,xthexsystems hasfunction that according with system design, can run according to orders, andhavexbeenxdeclaredxsuccessful.xBasedxonxthexresultxofxthexSystemxUsabilityScalex(SUS)xtest, this system obtainxscorex82.5, which means that the whole system can beaccepted as functioning well on the web.
THE EFFECTIVENESS OF COLLABORATIVE WRITING TO IMPROVE THE STUDENTS' WRITING SKILL

This study aims to determine whether collaborative writing is effective to improve students' writing skills or not and to know students' perceptions of collaborative writing. This research was conducted at SMAN 3 Majene. The samples of the research were 40 students from grade X or tenth grade. The researchers employed mixed research methods. Researcher used tests to collect data about the ability to write descriptive texts and interviews as research instruments to collect data about the extent of the influence of collaborative writing on motivation and self-confidence in learning. The data analysis technique uses Statistical Product and Service Solution (SPSS) 20 to analyze quantitative data and qualitative descriptive analysis techniques to analyze qualitative data and the results of this study indicate that there is an effect of collaborative writing on learning motivation. Based on the results of the N-Gain score test which were analyzed using SPSS, it showed that the average N-Gain score for the experimental group (collaborative writing) was 52.5034. It is categorized less effective category with a minimum N-Gain value of 36, 17% and a maximum value of 66.67%, it indicates that the effect of collaborative writing on students' learning motivation is able to improve students' writing skills with category less effective. Thus, this collaborative writing is recommended to improve students’ writing skills.
ENHANCING WRITING POWER THROUGH LEADING QUESTIONS STRATEGY

Writing is difficult skill in English. This study aims to determine the improvement of students’ writing skills using a leading question strategy. The study was conducted at the bilingual Madrasah Aliyyah class in Kediri. In fact, in the preliminary study, the researcher found that students had difficulty in writing recount texts. Students cannot retell past experiences because of lack of vocabulary and had no ideas for writing. The researcher used leading questions strategy to help students improve their writing skill in recount text. The researcher applied the classroom action research design by collecting data through observation checklists and tests. The research is considered successful if more than 80% of the students of the class achieve a score greater than or equal to 80 in the students' writing test. The finding of this study shows that there is improvement of students’ writing skill in recount text after implementing leading question strategy in one cycle with four meetings. The success percentage of this technique is 94 %, and the average score is 88. The average student scores 88. This means that almost all students pass the written test. The attitude of the students during the writing process was very good. Students' enthusiasm in writing recount text increased significantly. From the results of all meetings, it can be concluded that the use of leading questions strategy can improve students’ writing skill in recount text.
THE EFFECT OF ‘LEARN ENGLISH WITH TV SERIES’ IN INCREASING VOCABULARY SIZE FOR THE THIRD GRADE STUDENTS AT SMAN 2 MAROS

This study aims to determine the students’ vocabulary size taught by using Learn English with TV Series as a learning medium. The research method used in this research was pre-experimental with a pre-test and post-test group design. The sample was the class XII MIPA at SMAN 2 Maros consisting of 30 students selected using probability sampling with a simple random sampling technique. The instrument used were a multiple-choice, true-false item, matching test, and vocabulary level test. The collected data was then analyzed using SPSS. The result indicated that the average score of the post-test (90.40) was higher than the pre-test (49.97). It was supported by the one-sample T-Test where Sig. (2-tailed) 0.000 &lt; 0.05, which had a good and significant effect on students. The result of the vocabulary level test also indicated that the students at level 2000. Therefore, the students’ vocabulary size was increased using Learn English with TV Series YouTube Channel at SMAN 2 Maros.
Analysis of k-medoids clustering on toddler immunization in north sumatra province

Immunization is a process to increase the body's immune system by inserting a vaccine, namely a virus or bacteria that has been weakened, killed, or parts of the bacteria (virus) have been modified. The purpose of this study was to group children's immunization data according to districts/cities in North Sumatra Province using the K-Medoids Data Mining algorithm. The K-Medoids algorithm or pattern known as PAM (Partitioning Around Medoids) uses the partitioning clustering method to group a set of n objects into a number of K clusters. The data in this study is sourced from the Central Bureau of Statistics of North Sumatra. The grouping was carried out based on the number of recipients of the DPT-HB and Measles/MR vaccines from 33 districts/cities in North Sumatra Province. The results of the study are expected to be taken into consideration for local governments, especially the Ministry of Health in the distribution of immunization for children under five with the type of immunization to achieve the national target set by the Ministry of Health, which is 79.1%.
THE ANALYSIS OF TEACHER’S INTERACTION BY USING SELF-EVALUATION TEACHER TALK (SETT) IN SMPN 13 SURABAYA

In teaching, teacher do not only think about the pedagogic goals, material, and activity used. At the same time, the teacher should also think about how effective the interaction used linked to the pedagogic goals. In short, the success of the teaching learning process relies on how the teacher’s interaction in leading the students to achieve the pedagogic goals. From those phenomenon, this thesis analyzes the suitability of teacher’s interaction with the pedagogic goals in teaching English lesson in SMPN 13 Surabaya by using SETT. The research object is an English teacher of SMPN 13 Surabaya who teach in two different classes; A and G 7thgrade. This study practices qualitative method which uses SETT frame work as a means of analysis. In addition, the researcher uses voice recording and interview as a technique to get the data. As a result, the teacher’s interaction is in the form of IRF pattern that mostly uses close question as initiation. In addition, the teacher’s interactional features that often occur is teacher echo, display question and confirmation request. Furthermore, the teacher’s interaction coincides with the SETT framework to lead student in gaining the pedagogic goals. Though, there are some part of interaction that can be improve for better student involvement such as extended wait time, teacher echo and way of scaffolding.
Multirotor drone sizing and trajectory optimization within Modelon Impact

The design of multirotor drones often relies on optimizing its performance in terms of maximum speed requirements and hover time. This is well suited to undefined tasks. In the case of repetitive tasks, the drone trajectory can be added as a third degree of freedom. This paper focuses on the use of Modelon Impact and its dynamic optimization capabilities to reach a multirotor drone design and 1-D trajectory optimization. In comparison to other options investigated by the authors in a separate publication, Modelon Impact based optimization proved to be much simpler, more robust, and faster – for this use case.
Improving CNNs classification with pathologist-based expertise: the Renal Cell Carcinoma case study

Abstract The prognosis of renal cell carcinoma (RCC) malignant neoplasms deeply relies on an accurate determination of the histological subtype, which currently involves the light microscopy analysis of histological slides, considering notably tumor architecture and cytology. RCC subtyping is therefore a time-consuming and tedious process, sometimes requiring expert review, with great impact on diagnosis, prognosis and treatment of RCC neoplasms. In this study, we investigate the automatic RCC subtyping classification of 91 patients, diagnosed with clear cell RCC, papillary RCC, chromophobe RCC, or renal oncocytoma, through deep learning based methodologies. We show how the classification performance of several state-of-the-art Convolutional Neural Networks (CNNs) are perfectible among the different RCC subtypes. Thus, we introduce a new classification model leveraging a combination of supervised deep learning models (specifically CNNs) and pathologist’s expertise, giving birth to a hybrid approach that we termed ExpertDeepTree (ExpertDT). Our findings prove ExpertDT’s superior capability in theRCC subtyping task, with respect to traditional CNNs, and suggest that introducing some expert-based knowledge into deep learning models may be a valuable solution for complex classification cases.
Leveraging Blockchain Technology to Create a More Resilient Supply Chain for Energy Industry

Purpose: Blockchain is an evolving technology that has attracted considerable attention over the past few years from emerging businesses, energy supply enterprises, technology developers, financial institutions, government agencies, and academic institutions. Many references from these contexts describe blockchain as being capable of delivering substantial benefits and creativity. This paper aims to investigate the way in which blockchain technology is likely to inﬂuence future supply chain practices in energy sector.&#x0D; Methodology: A systematic review of both academic and nonacademic literature was conducted to gain a deep insight on the possibilities of leveraging the blockchain technology to create a more resilient supply chain for oil &amp; gas industry. Toward this goal, the theoretical foundations of numerous research papers published in high-profile scientific journals over the past few years, along with several reports generated by well reputable and prestigious consulting firms that have been used to outlook the potential and relevance of blockchain technology for energy industry applications.&#x0D; Results: Blockchain can bring many opportunities to the oil &amp; gas industry, such as reducing transaction costs and improving transparency and efficiency. However, since it is still in the early stage of the application, there are still many challenges, primarily technological, regulatory and system transformation. The development of blockchains in the oil &amp; gas industry will move toward hybrid blockchain architecture, multi-technology combination, cross-chain, hybrid consensus mechanisms, and more interdisciplinary professionals.&#x0D; Unique Contribution to Theory, Practice and Policy: This paper offers valuable insight for supply chain practitioners into how blockchain technology has the potential to disrupt existing supply chain provisions as well as a number of challenges to its successful spreading. To the best of the author’s knowledge, this paper is one of the first studies in the Kingdom of Saudi Arabia to explore the possibility of leveraging the blockchain technology to create a more resilient supply chain for oil &amp; gas industry. Blockchain is a promising breakthrough technology and is highly applicable to vast businesses. However, it is still hard to find empirical evidence to show the comparison between blockchain approaches and traditional approaches. In view of this, businesses should realize that blockchain technology has not yet reached an optimal level of maturity, and therefore thorough feasibility studies should be conducted before using this technology.