Reviewerly/exHarmony huggingface dataset:
Pengembangan Sistem Pengontrolan Irigasi Cerdas dengan Teknologi Internet of Things (IoT)

Agriculture plays a pivotal role in addressing global food demands, with efficient resource utilization, particularly water, being crucial for sustainability. In this context, the Internet of Things (IoT) has emerged as a potent tool for optimizing irrigation water usage. This study centers on developing an IoT-based smart irrigation control system to enhance agricultural water efficiency. The system integrates soil moisture sensors, water pumps, and an IoT platform for autonomous plant irrigation management. Real-time sensor data is collected and processed to make intelligent irrigation decisions, reducing water consumption by up to 30% compared to traditional methods, as demonstrated in field trials. Beyond water efficiency, the system empowers farmers to remotely access and manage irrigation through a web or mobile app, offering resource management flexibility and improved adaptability to changing weather conditions. This research underscores IoT's substantial potential in advancing agricultural irrigation efficiency, curbing water use, and promoting economically and environmentally sustainable farming. These findings serve as a blueprint for future agricultural solutions in the IoT-driven sector.
The development of professional achievements of teachers on the basis of pedagogical cooperation

Nowadays, a lot of attention is concentrated to the development of education in our country. An important component in the work of a modern teacher is professional success. Each teacher in his work should strive to achieve success in order to get professional motivation from the quality work which is done and provide the necessary level of students' knowledge. One of the substantial factors that impact the organization of successful work is the organization of work, relations with the teaching staff, parents &amp; students, as well as the ability to show the implementation of their professional qualities. Pedagogical abilities help to assure the accumulation of fertile&nbsp; information that stimulate the formation of self-control and self-regulation, therefore providing the teacher's need for self-development and self-affirmation. One of the components of the professional success of modern teachers is continuous education and self-improvement in the framework of mastering new means of ensuring professional excellence. In connection with the preceding, the author of this article, having analyzed the views of Sh.A.Amonashvili, A.G.Asmolov, N.M.Borytko, D.V.Grigoriev, A.N. Lutoshkin, A.S. Makarenko, R.S. Nemov, P.V.Stepnov, I.Yu. Shustov presents the main levels of development of the teaching staff. It also analyzes the strategies for cooperation of pedagogy in Europe and the USA.The article attempts to scientific analysis and critical understanding of the problem of development of teachers' professional success, based on pedagogical cooperation. The practical part of the study includes a survey of 50 teachers on the problem of using strategies of pedagogical cooperation in the team to solve current educational problems, including those related to inclusive education. Key words: Education, pedagogical cooperation,professional success of teachers,teaching staff,ungraded school, interaction.
Evaluation of the correlation dependence of educational outcomes from online learning in the humanities, on the example of BILIMLAND resources

The article analyzes the problems of improving the efficiency of teaching students in the humanities using digital educational technologies in the educational process and the use of mathematical tools. An analytical comparison was made of the models of the educational process of teaching humanities - traditional and using modern digital technologies, aimed at realizing the goals of standard curricula for schoolchildren. A modern approach to conducting research has become an analytical and factual presentation of the degree of influence of digital technologies on the dynamics of changes in the convective abilities of students using probabilistic-statistical methods. In accordance with the set goal and objectives, the result was obtained: mathematical confirmation of the dependence of changes in the progress of schoolchildren in teaching humanitarian disciplines on the quality and quantity of the use of modern digital technologies. The implementation of the tasks set is based on the use of statistical methods for processing time series information, by introducing an algorithm for determining empirical approximating functions from the class of monotone two-parameter functions. As a sample, data reflected on the Kundelik portal from grades 1 to 11 in all compulsory humanitarian disciplines and statistical data on the use of Bilimland digital educational resources were considered. Key words: statistical data, correlation, e-learning, time series, mathematical model.
Study of using methodology of augmented reality application for physics designed for high school

The article presents the results of research on effective teaching of physics, developed as part of the dissertation research "Methodology of using interactive visualization through augmented reality in teaching physics." Augmented reality at high school can introduce key phenomena in physical education and make successful laboratory experiments, increase learning efficiency by improving the motivation of pupils and their involvement as users of augmented reality. The research paper presents a system with three applications of augmented reality for teaching physics in the ninth, tenth and eleventh grades in high school, and the ultimate goal is to provide a single platform covering the subject of physics. In the future, it can be used to visualize physical phenomena in all classes of a general education at high schools. The platform provides teachers and pupils with a useful tool to implement augmented reality technologies to improve teaching and learning, motivate and improve pupils physics skills. The developed system is evaluated in terms of ease of use, gamification and readiness of teachers to introduce this technology into the educational process. A total of 507 participants took part in the study, divided into two groups of users: teachers (N=15), pupils (N=492). The results of the study show that augmented reality game applications are easy and optimal to use, and that teachers are interested in using these applications in teaching. Keywords: education, pedagogy, physics, augmented reality.
Designing a platform for Tweet Collection, Analytics and Storage (TweetCASP)

In this era of big data, the streaming, storage, and analysis of large amounts of data present a variety of challenges. Several challenges must be addressed by designers of data-intensive systems in order to retrieve useful information. Collecting, storing, and analyzing data requires a collection and analytics platform comprised of an appropriate choice of data processing and analytics technologies in order to acquire meaningful insight. In this paper, we report on TweetCASP (Tweet Collection, Analytics and Storage Platfrom), which gathers tweets based on user-entered keywords using Twitter's Streaming API, providing an environment for real-time analytics on streaming data and permanently storing data in an Apache Cassandra NoSQL datastore to fulfill future batch-oriented data processing requirements. Moreover, The TweetCASP presents an example of a data-intensive system used by software developers, designers, and researchers for data collecting and analytics.
Welcome Message

Welcome to the 8th International Conference on Information Management and Technology (ICIMTech 2023) held from 24-25 August (hybrid from Malang). This is the eighth conference hosted by School of Information Systems, BINUS University (Bina Nusantara University). In the last eight years through this conference, we believe many researchers have been helped to develop their research work through constructive interaction with experienced academics. Learning from mature research and stimulating discussion with academics, practitioners, and more experienced researchers in the conference has turned ICIMTech into a melting pot of multi-generation researchers. We are very excited to have all of you to join in this great event.
Improved Reptile Search Algorithm for Optimal Design of Solar Photovoltaic Module

This study focuses on the vital role of parameter extraction in optimizing and evaluating solar photovoltaic (PV) systems, as it directly influences their efficiency in converting solar energy to electricity. Researchers have extensively explored the application of various metaheuristic algorithms to accurately estimate solar PV parameters due to their crucial significance, leading to an extensive body of literature on the subject. However, the search for a robust and user-friendly optimizer with high convergence ability remains a challenging task that demands further research. To address this challenge, the study conducts a comprehensive comparative analysis of the RSALF optimizer, an innovative metaheuristic algorithm combining the reptile search algorithm (RSA) with Lévy flight (LF), for parameter extraction of PV model parameters using the Photowatt-PWP201 PV module as a case study. The experimental results demonstrate the RSALF optimizer's remarkable accuracy in parameter estimation, consistently yielding lower root mean square error values and closely aligning with experimental data. Moreover, comparative analysis with other recent optimization approaches highlights the RSALF optimizer's superiority, making it a promising tool for advancing the optimization of PV models and facilitating more efficient and sustainable solar energy utilization.
Implementasi Data Maining Untuk Menganalisis Pola Peminjaman Buku Perpustakaan Dengan Menggunakan Metode Apriori

The library is a place where you can find the information andknowledge you need. Library space is a very important means oforganizing book loans because it not only creates space and thenfills it with collections, but also pays attention to how the layout ofthe books is arranged. Therefore, the data is analyzed in order tohelp recommend the layout of books and borrowers can find theappropriate books. To determine the suggestion of borrowedbooks, with the existence of play data can use the a priorialgorithm, a kind of association rule. The market basket analysismethod used by the a priori algorithm to establish associationsbetween various variables allows the system to further analyze andidentify trends related to borrowed books. Based on the results ofthe analysis that has been carried out, it is stated that this a priorialgorithm can be used to display recommendations betweenborrowed books. The support value can show the classification ofbooks borrowed simultaneously while the confidence value canfind out the recommendations for books borrowed.
Asynchronous Learning Method: Prospects and Challenges Among Undergraduate Students at Higher Islamic Institution in Indonesia

Distance education technologies have become viable alternatives to traditional education. While asynchronous learning allows students complete freedom of time and location, the synchronous model provides an online learning platform where instructors and students meet in the same or different locations in a virtual environment. This research aims to explore the experiences of eight undergraduate students of the Islamic Education Department at the Al Azhar University of Indonesia in the online Asynchronous Learning Method (ALM). Specifically, it investigates students’ understandings of ALM, explores their perceptions of its advantages and disadvantages, looks into their strategies in coping with challenges and obstacles they face, and their aspirations for ALM. In doing so, a qualitative case study was used to collect the data through open-ended interviews and focus group discussion (FGD) which provide personal and specific pictures of asynchronous learning. The findings revealed that apart from giving students flexibility and independence of learning, ALM has not been utilized optimally at the university level. ALM is mostly used to transfer information without the element of teaching and instructions. Hence, there is room for improvement from the current e-learning practices in which this study provides some recommendations for future online pedagogy.
THE CORRELATION BETWEEN SIMPLE PRESENT TENSE MASTERY AND DESCRIPTIVE PARAGRAPH WRITING ABILITY OF THE ELEVENTH-GRADE STUDENTS OF SMAN 1 BLAHBATUH

The present study used an ex-post facto research design that figure out the correlation between simple present tense mastery and descriptive paragraph writing ability of the eleventh-grade students of SMAN 1 Blahbatuh in academic year 2022/202. The present research sample consisted of 60 students from 247 populations of the eleventh-grade students of SMAN 1 Blahbatuh in academic year 2022/2023. Chosen by random sampling method that chosen by the teacher. The data were collected by administering the research instrument in the form of sentence writing test and descriptive paragraph tests. The obtained data were analyzed by using Pearson product-moment correlation and T-test. The data analysis result showed that the students’ simple present tense mastery correlated with their descriptive paragraph writing ability. To sum up, the present research findings finally confirmed that there was a significant correlation between simple present tense mastery and descriptive paragraph writing ability of the eleventh-grade students of SMAN 1 Blahbatuh in academic year 2022/2023.
Model of a typical training problem in the e-learning

The development of a model for an educational task is described, that includes components such as task formulation, task objective, conditions and constraints, requirements for task solutions, and methods for evaluating the result. It is suggested to use the educational task model in an electronic learning system to create a database for a web application. The methodology for populating the database with educational tasks in physics and mathematics is presented. It also helps teachers to effectively assess students' knowledge.
Resonant PI controller for shipboard electrohydraulic stabilized platform

The problem of stabilizing the angular position of the platform installed on the deck of a water vessel is considered. The platform is used to accommodate navigational equipment and radar antennas of communication systems that require stabilization of the platform's angular position in space under conditions of wave perturbations of the aquatic environment to work efficiently. The task under discussion is to eliminate the influence of wave perturbations on the platform's angle of inclination relative to the horizon. A mathematical model of a stabilized platform with an electric hydraulic drive is considered and a technique for synthesizing a control system that provides effective suppression of the influence of wave perturbations on the angular position of the platform is developed. The novelty of the proposed approach to the synthesis of the control system of the stabilized platform position consists in applying the time-scale separation method for calculating the resonant proportional-integral controller of the electrohydraulic drive of the platform. The results of numerical simulation of the control system under discussion are presented.
Research on the Optimization of Local Node Connectivity Computation Using GPGPU

The local node connectivity of a graph indicates its stability and robustness as well as the importance of its vertices. This study presents the process and results of designing local node connectivity computation algorithms for graphs using parallel processing in GPGPU (General-Purpose computing on Graphics Processing Units). These algorithms focus on reducing latency by optimizing the computation for finding the shortest paths. Here, the algorithms “Variable Threads” and “Fixed Threads” are proposed and compared with a CPU-based baseline algorithm. Experimental results show that the GPU-based approach achieved latency reductions of up to 37% and 15% in sparse and dense graphs, respectively. These findings elucidate the effectiveness of parallel processing on GPUs for improving the efficiency of local node connectivity computations.
Extensive evaluation of image classifiers' interpretations

Abstract The application of artificial intelligence in delicate fields has led to the increased popularity of deep model interpretation. When dealing with an image classification problem, interpretations are usually presented as two-dimensional saliency maps. Locations with the highest intensity are considered to be the most important for making a decision. Measuring the quality of the interpretations is challenging since humans do not understand the behavior of deep models. The biggest misconception is mistaking interpretation for weakly supervised object localization, which has reflected on the choice of the assessment metrics as well. This paper presents a carefully designed experimental procedure along with a set of quantitative interpretability assessment metrics that rely solely on the original model behavior. Previously noticed biases have been attenuated by treating locations with high and low intensity separately, considering the entire saliency maps, not just their positive values, and using classifiers with both high and low accuracy as well as all the classes in the dataset. The proposed assessment metrics were used to compare and analyze seven well-known interpretability methods on four image datasets. Even though they are ignored by some assessment metrics, our experiments show that negative saliency map values are just as important as the positive ones. DeepLIFT, Gradients X Inputs, and FullGrad achieved the best results. In contrast, Grad-CAM and Ablation-CAM have demonstrated some undesirable behaviors.
New Results of Target Circumnavigation Problem with UAV Using Bearing Measurements

&lt;p&gt;Target tracking using bearing-only measurement with UAV is extensively studied recently years because of its potential value in engineering applications. This brief revisits the problem about slowly moving target tracking using the target circumnavigation scheme. Instead of developing improved algorithm, we mainly present some new results for the typical circumnavigation algorithm in the literature. From a different perspective, the overall convergence analysis is conducted for the typical algorithm under the same conditions assumed in existing work, and it is found that the conclusion made in prior work is not accurate because of the implicity assumption. In this brief, we present a more accurate convergence analysis for the typical target circumnavigation algorithm, simultaneously giving the sufficient conditions for convergence or divergence. Simulation examples validates our results.&lt;/p&gt;
Students’ Perception Towards Teachers Strategies in Teaching Reading Skill

Students' perceptions towards teachers strategies in teaching reading skills are also important to know by teachers, so that they can be used as reflections to improving their strategies in teaching reading. This research different between some previous study because the focus in the some previous is more generally because analyze about students’ perception towards teachers attitude, teaching style and attitude in learning English. Meanwhile, in this research is more specifically because analyze about students’ perception towards teachers strategies and only focus in reading skill. In previous study use a quantitative method but in this study use a qualitative method. The aim of this study was to find out how students' perceptions towards teachers strategies in teaching reading skills.The participants in this study were eleventh grade students at SMAI MU Jatiurip. This study used interviews, observation and documentation to obtain data.The result showed that students’ perception towards teacher’s strategies in teaching reading at SMAI MU Jatiurip is give had positive percepatan with all of the teaching strategies in teaching reading. They are predicting, question and generating and answering, role plays and think pair share except summarizing strategy because they feel boring about learning reading material when the teacher used summarizing strategy. The most of students prefer to predicting strategy because students understand lessons more quickly when using predicting strategies.
Improving Reading Interest With “Sapa Mentari” in Elementary School Students

This study aims to describe the increase in reading interest of grade 1, 2, 3, 4, 5 and 6 students at SDN Sarwadadi 03 in Cilacap Regency through story telling using "Sapa Mentari". The research used a descriptive qualitative research method with a case study approach by examining 85 students. Data
German and Romance varieties in contact in northeastern Italy

Northeastern Italy offers several sites where a variety of German is in contact with Italian, Italo-Romance, or Rhaeto-Romance: All of these contact situations vary according to sociolinguistic and extralinguistic factors, such as the composition of the speech community, structure of linguistic repertoires, language status, standardization, and demography. These factors combine into more or less coherent speech community types that, in turn, constrain the typology of contact linguistic phenomena that can be observed. In this contribution, based on the trilingual region of South Tyrol, a few emblematic case studies will be discussed focusing on insertional mechanisms that occur in speech. Based on the outcomes of a larger research project and drawing on various corpora of conversational data, quantitative and qualitative aspects of this contact situation will be explored in more detail.
Design and Practice of a Blended Teaching Model for English in Vocational Colleges Based on Smart Classroom

With the continuous changes of the times, society has put forward new requirements for college English teaching. Especially in the context of the big data era, creating a smart classroom teaching model has become the main direction of teaching reform in domestic vocational colleges. Based on the background of the times, the paper explores the design and practice of a blended teaching model for English in vocational colleges based on smart classrooms, to continuously improve the teaching quality of college English courses, and cultivate comprehensive applied English talents that meet the development needs of the times.
PENEMUAN KEMBALI ARSIP DITINJAU DARI ASPEK SISTEM SARANA DANPRASARANA SERTA PEMBERKASAN AKTIF

The importance of records cannot be overstated for a company or government body,as they can be compared to a critical organ or as the "heart" of the organization or institution, making decisions and as proof that perhaps a rules and regulation or program has been executed. Each agency's active records are, of course, created on a daily basis, when there's no records management, the amount of records will increase and turn into a jumble of paper. The National Archives of Indonesia or ANRI places a high value on record management. In order to establish wellmanaged and ordered documents that make retrieval and decision-making easier, these are some of the procedures in records management is active records filing base sophisticated system, modern tools and filling hybrid.