Reviewerly/exHarmony huggingface dataset:
Temple Recommendation Engine for Route Planning Based on TPS Clustering CNN Method

There are no restrictions on religious or cultural practices in India. India’s temples are becoming an ideal platform for Hindu groups to express their ideals in a global context. For the sake of devotees, temples now require widespread accessibility and participation by a wide range of individuals on major holidays. A pilgrim may be unable to determine which site to visit, or where to stay, due to a variety of considerations such as cost, location, and the interests of each individual user. A user’s preferences are taken into consideration when a personalized recommendation list is generated. A large number of systems use Collaborative Filtering to produce user recommendations. In order to generate user-specific recommendations, this system uses a filtering method dubbed the “hybrid approach”. The Proposed OTPS Cluster technique is used to determine TPS (Time, Place, and Service). Users’ interests and TPA recommendations are taken into account. Users can forecast the location of the temple based on the temple’s history. Collaborative Filtering and Material-Based Filtering were used to propose sites based on comparable users and content, respectively. Testing shows that the algorithm is capable of solving difficulties in standard tour routing and providing a temple visit route that is tailored to each individual’s preferences. This study makes use of data from the South Indian city of Temple in the form of temples.
Effectiveness of using g-learning in online lectures for students during the Covid-19 pandemic

This study aims to determine whether G-Suite (Google Learning Application) is effective in student online lectures and can provide a good and efficient academic atmosphere during the Covid-19 pandemic. The research approach uses quantitative with a quasi-experimental type. The data collection technique was carried out through the distribution of online surveys to all students of the Biology Education Study Program, Faculty of Teachers Training and Education, North Sumatra Islamic University (UISU) who learned to use the G-Suite during the Covid-19 pandemic. Based on the calculation results obtained that t-count of 2,901. After being consulted with the t-table at a significance level of 5% and db 68 of 1.990, it turns out that the t-count is greater than the t-table (2.901 &gt; 1.990) so that Ho which reads there is no difference in student outcomes between groups of students taught using the G-Suite and groups of students who were taught without using the G-Suite media have been successfully rejected. Thus, Ha, which reads that there is a significant difference in lecture learning outcomes between groups of students who are taught using G-Suite media and groups of students who are taught without using G-Suite media.
Cultural Nexus Between School and Community

Culture and education are inseparable as they are simply two sides of the same coin. In this context, this study focuses to explain how does culture work in schooling of Nepal. In so doing, interpretive research design has been used to determine the relationship between schooling and culture, with the experiences of secondary level teacher. Purposive sampling technique has used to select sample population and schooling inventory practice and culture inventory of a society were supervised to the school teacher through the pen-ended interview. This research found positive and significant relationships between schooling and culture. Culture of society can be used by the educators to select the content of school curriculum, learning materials, and methods for communication to student and education as a supportive role to conservation and reformation of culture to a society. The school education mainly dominated by universal culture what Banks called “popular culture”. Further, the exiting schooling limited to the superficial culture of a society rather than the assumption of critical and social action approach of Banks. Therefore, such kinds of schooling can provide general information about the society but does not empower pupils about why do they are behaving different way to the different group of people. This study suggested that the decision making process concerning to school education should be managed in a way, whereas the school teacher, local people, and local expert can easily participate to take initiative or making school curriculum, learning resources and selecting methods of teaching.
A Blockchain-Enabled Scalable Network Log Management System

Log data is an essential tool to identify the footprint of unauthorized activities executed in a network system.Hence, a compact storage mechanism is required for the massive volume of log data to protect them from malicious tampering attacks.In this regard, Blockchain (BC) has been used to design tamper-proof storage of log records.However, the existing BC-based solutions cannot efficiently handle continuously growing massive log data, creating tremendous storage overhead on the participating BC nodes.Although some works address the storage scalability issue through separate off-chain storage, these works cannot support log data confidentiality and essential query mechanisms to manage log data are missing.Moreover, due to inadequate analysis of the real-time implementation, the performance gain obtained by these schemes is not clearly understood.To handle these deficiencies, we propose a BC-based network log data storage and management scheme that uses an InterPlanetary File System (IPFS) to outsource most of the log data to external off-chain storage.In addition, the proposed scheme performs query and audit operations to manage plaintext and encrypted log records efficiently.Besides, we present a theoretical analysis to show our scheme's scalability in storage gain.Extensive experiments on the prototype implementation of the proposed system show that storage gain increases exponentially with increasing log records per transaction.Moreover, our scheme attains nearly 93% storage reduction in supporting per day storage demand of log records.The experimental results also demonstrate that the proposed system can be realized with a low computational overhead.
Pollution Risk Analysis of Heavy Metals at Illegal Mining Sites at Atiwa East District, Ghana

This study aims at determining the level of pollution of heavy metals (Cr, Cu and Hg) in the soils of illegal mining sites in Atiwa East District of Ghana.The concentrations of Copper (Cu), Chromium (Cr), and Mercury (Hg) in the soils were determined using Atomic Absorption Spectrometry (AAS).The extent of heavy metal pollution and pollution risk assessment was analyzed at the study site.Thirty (30) soil samples were collected from three (3) illegal mining sites within the district.The average levels of Cu, Cr, and Hg in the soil were 8.8, 6.75, and 3.19 mgkg -1 respectively, and were all above the WHO threshold.The geo accumulation indices (Igeo) of Cu, Cr, and Hg obtained were 1.92, 3.8, and 6.5 respectively, indicating moderately to extremely polluted soil at the study sites.The research has helped to establish the local Geochemical Baseline Concentrations (GBCs) of heavy metals in the study area so that an appropriate remediation method could be employed.
Cost-Efficient Deadline Constrained Scientific Workflow Scheduling in Infrastructure-as-a-Service Clouds by Disqualifying Tasks with Anomalies

Cloud computing has transformed the way businesses and consumers think about their data and businesses.As a result, cloud computing is described as the on-demand availability of all computer system resources via the Internet as a paid service.Enhancing security is a major problem in cloud computing, which is also a major research topic because data is stored and processed in remote locations held by third parties.Another key research subject is the allocation of virtual machines to incoming workloads to decrease the cost of consumers' workload execution in cloud environments.Both of the aforementioned difficulties are addressed in this study.Deadline-constrained workflows are submitted to the application server, which goes through a pre-processing step, that identifies the presence of anomalies in the workflow tasks and disqualifies those tasks with anomalies, and schedules the adjusted workloads into heterogeneous Virtual machines using a modified-PCP algorithm.Our approach is compared to the IC-LOSS and IC-PCP algorithms that are already in use.In comparison to the existing IC-PCP and IC-LOSS algorithms, experimental results suggest that using the modified-PCP algorithm for deadline constrained workflows after deleting those anomalous tasks produces better results.
Designing Information System Architecture Based on Education 4.0 Case Study: Senior High School Institutions of Indonesia

The development of information technology that has occurred to date has made information technology necessary in an organization's business in various fields.Information technology support is very much needed in the current era of globalization because it can increase business effectiveness and efficiency.Utilization of technology optimally and in line with business processes is the main thing in developing the application of information technology.Senior High School (SHS) is one of the educational agencies in Indonesia that is developing following the development of technology.SHS institutions realize how important it is to apply technology in supporting their business processes.At present, the SHS institution has been helped with technology such as the use of Excel in all recording in schools, but the SHS institution itself has not implemented optimal and integrated information technology in every field of school activity which often occur in data loss, delivery of information both in terms of learning as well as school activities that require a long time, and not integrated the school system.The application of information technology that will be used by a school must be by the goals of the school so that the application can help the school well in achieving school business goals, the use of Enterprise Architecture (EA) in the application of information technology to help analyze information technology planning by SHS institutions.This study will use The Open Group Architecture Framework (TOGAF) to assist in application planning.The final results of this study proposed six application blueprints namely Academic System, Non-Academic System, Procurement Management, Financial Management, HR Management, and Data Management which are tailored to the business process and the needs of the SHS institution.
The Impact of Emerging Technologies on Workplace Privacy Case Study-Electronic Monitoring

Due to the COVID-19 epidemic pandemic, the Internet invades our life aspects and activities, the way we work or shop has changed, the educational system has changed, and the social structure and many other things in our lives have changed.In this research work, we analyze three hypotheses regarding electronic monitoring during the COVID-19 pandemic.The first hypothesis is the relationship between Electronic Monitoring and safety, the second is the relationship between Electronic Monitoring and privacy, and the third is related to acceptance of electronic monitoring in the workplace.For that, we have surveyed the COVID-19 pandemic to measure the effects of new technologies-in particular-electronic monitoring on productivity, creativity, and the effect of social networks in increasing the acceptance of electronic monitoring in the workplace.Our results show that the attitudes toward electronic monitoring have not changed over the years and a higher percentage of employees who were polled do not accept being monitored at the workplace, which means the introduction of new technologies in our life has not changed the opinion of people about electronic monitoring.
Plant Computational Modelling of Green Amaranth Plant for Investment Analyst using FSPM-GroIMP and Fuzzy Logic

Functional-Structural Plant Modelling (FSPM) is plant modeling that considers morphology, physiology, and statistical data.One of the software for FSPM is the Growth-Grammar Interactive Modelling Platform (GroIMP).GroIMP is a Java-based platform using the XL language, which is a language developed from System-L.This study aims to build a virtual plant model of green amaranth (Amaranthus Sp.) in a hydroponic planting system for strategic decision-making.In this study, parameter analysis and model development were carried out.The model is divided into two submodel blocks by operating three methods.There are two sub-models, namely the sub-model virtual plant, and the sub-model fuzzy logic.In the virtual plant model using mathematical modeling and FSPM-GroIMP methods, the results of this model are the growth pattern of green amaranth to harvest, the weight of green amaranth, and visualization of hydroponic green amaranth plants.In comparison, the sub-model fuzzy logic uses the fuzzy logic method to predict the selling price of plants and expenses.The two sub-models are combined to produce hydroponic green amaranth strategic decisions.The output of strategic decisions is a decision that has an impact on investment value.The investment value is measured by the CR Ratio, which is the investment value by comparing the cost with the revenue from hydroponic green amaranth.Other results showed that the average weight of a single green amaranth plant is 11.85 g and the RC ratio value is 4.5 for 500 plants with good plant quality, a fixed cost of IDR30,000, variable cost is IDR20,000 and the price is IDR57,282 per kilogram.Calculations of model verification and validation were carried out and indicated the built model according to the existing theory had the correct variable values.
COMPARISON C4.5 AND NAÏVE BAYES METHODS BASED ON PARTICLE SWARM OPTIMIZATION IN LEVELS OF DROP OUT STUDENTS

The high percentage of drop-out students causes a campus management problem, this is because the percentage of students graduating on time is one of the elements of accreditation assessment set by the national accreditation board of higher education. One reason why the drop out rate is still high is because the Management System has not run well, such as lecturer professionalism, campus facilities, academics and administration, student affairs, outside influence and student personality. This study aims to analyze several indicators that can cause student drop outs by comparing the C4.5 method based on particle swarm optimization and Naïve Bayes based on PSO. This study contributes to campus management in anticipating the occurrence of drop outs through indicators that occur and can predict student drop out rates through the classification process. The highest level of accuracy produced from C4.5 + PSO is around 99.32% with AUC from Naïve Bayes is 0.974 categorized as excellent classification.
CIHEULANG RIVER FLOOD ANALYSIS IN CARINGIN DISTRICT SUKABUMI REGENCY

This study aims to study and analyze the intensity of rainfall, flood discharge and flood control of the Ciheulang River in Caringin District, Sukabumi Regency. The method used is a statistical and empirical model analysis approach including the distribution of Log Pearson Type III, Intensity Duration Frequency and rational methods. Based on the results of the study, it is known that (1) The intensity of rainfall in the Ciheulang river in Caringin District, Sukabumi Regency in a 2 year period is 7.999 mm/second, a 5 year period 9, 215 mm/second, a 10 year period 9,922 mm/second, a 25 year period 10,736 mm/second, period of 50 years 11.297 mm/second and period of 100 years 11.825 mm/second; (2) Ciheulang river flood discharge in Caringin District, Sukabumi Regency for a 2 year period is 38.424 mm/second, a 5 year period 44,266 mm/second, a 10 year period 47,664 mm/second, a 25 year period 51.574 mm/second, a 50 year period 54.269 mm/second and period of 100 years 56,807 mm/second; (3) Control of flooding that occurred in the Ciheulang river in Caringin District, Sukabumi Regency is carried out by reducing and overcoming runoff that occurs due to planned flood discharges with various return periods, through alternative structural efforts, including: making/raising flood embankments using revetments, gabions river channel.
Analysis of the model using General Evolutionary Algorithm

The study aims to solve the universality of evolutionary computation for solving different optimization problems, avoid the repeating design, and share codes, so as to improve the application efficiency of the algorithms. To achieve this, the authors put forward a general evolutionary model based on object-oriented programming language (C# language) in this paper. This model divides the problem domain, the fitness function, the algorithm and the parameter control into different classes, which are encapsulated into different objects so as to enhance the independence of each module. By utilizing the model, it is convenient to develop, reuse, extend and modify software while guaranteeing the universality of the algorithm at the same time.
Evaluation of Drainage Channels on Residential Area

The incompatibility of construction of urban or residential drainage channels with design criteria is often found due to difficulties in designing drainage channels. designers often make design mistakes when designing drainage channels. This study aims to evaluate the drainage system and designs a drainage channel that can collect runoff discharge on Residential Area. The results of flood discharge obtained using the Gumbel method for the 10 and 25 year return periods are 298.78 mm and 370.38 mm. From the calculation of the channel capacity in the field and the discharge plan most of the existing channel capacity cannot accommodate the current planned discharge of 2.261 m3s-1 for the primary channel and 1.824 m3s-1 for the secondary channel. The current channel cannot accept runoff discharge during rain, so the channel rehabilitation plan is carried out by expanding and extracting the dimensions of the drainage channel.
Improving Students’ Writing Ability by Application of Semantic Mapping Strategy at SMA Muhammadiah

Writing skill is one of the most important skills in English to communicate information or something through media like paper, email, book, etc. Excellent writing skill allows the students to express their opinions, thoughts, and imagination. The result is to make the readers understand and attract to their writing. Writing activities make every writer think, learn and communicate in the media. Unfortunately, most of the students face difficulty and stagnant in writing. They need some strategies to help them in improving their writing skill. Semantic mapping is one of the effective ways for improving writing ability. It helps students to get an idea and improve it into sentences and paragraphs. This study described the use of semantic mapping in teaching writing skills. This study is aimed to improve student's language skills, especially writing based on their literacy level. It also applied semantic mapping in the joint construction of the text. Students were asked to write the report after they created a semantic mapping of their idea and group. The method of this study was action research which had four steps. The steps were planning, acting, observing, and reflecting. The data was collected from the cognitive test, observation checklist, questionnaire, and interview. The purpose of the research is to know whether using a semantic mapping strategy can improve the students’ writing skills. This study is a classroom action research and It focuses on how students respond to semantic mapping strategy in English writing skills. The instrument of this study is using a questionnaire which is distributed to the students of the academic year 2021/2022 that consisted of 30 students in XII grade, 17 females and 13 males. The result of this study was 90,33 % of students got easier in learning writing tasks and 26,33% had great enthusiasm to master writing skills by using semantic mapping strategy.
The Using Of Linking Words to Enhance Students’ Writing Ability at Universitas Potensi Utama

Nowadays, there has been great attention to studying the students writing ability as Foreign Language learners, especially the essay writing skills of non-native speaker students. The purpose of this study is to analyze the types of errors in using the linking words and phrases. The writer is focused in analyzing student examination results in essays term at medium-level academic writing course and state the main causes of these errors. The research method is a classroom research study. This research is based on Ngadda and Nwoke’s (2014) theories on the classification of errors and Biber et al.’s (2002) classification of linking adverbials as well as presents the frequency of the types of errors. The research object is students of Potensi Utama University at English Education program students in the fifth semester of the 2021-2022 Academic Year. The main findings of the research indicate that linking words were seldom applied in writing because students' comprehension was very low. The teaching and learning process in exploring linking words certainly raised the level of students in mastering linking words in writing. The research consisted of 32 English students at Potensi Utama University. They were tested to know their writing ability in the capability of using linking words. The results indicated that there was a significant improvement in students’ writing ability after learning to link words comprehensively. The students were able to use and place the linking words correctly. The writer found that the students were able to manage linking words at Pre-Test was 9,38% and raise to 90,63% at Post-Test. Certainly, it is important to master the linking words to improve students’ ability in writing skills.
The Effect of Climbing Grammar Mountain Game on Students’ Lexicogrammatical Features of Personal Recount Text Mastery (A Study at The Eigth Grade Students of MTS YPKS Padangsidimpuan In 2021/2022 Academic Year)

The purpose of this research was to found out: 1) The application of Climbing Grammar Mountain Game on Students’ Lexicogrammatical Features of Personal Recount Text Mastery, 2) The Students’ Lexicogrammatical Features of Personal Recount Text Mastery before and after using Climbing Grammar Mountain Game, 3) Whether there is any significant effect of Climbing Grammar Mountain Game on Lexicogrammatical Features of Personal Recount Text Mastery at the Eighth Grade Students of MTs YPKS Padangsidimpuan.This research used experimental method with the pre-experimental designusing one-group pretest posttest design. The population of this research was the VIII grade students consist of 156 students and the samples were 25 students gotten by using purposive sampling. The writer used observation sheet and test as an instrument. The result of this research: 1) The application of climbing grammar mountain game was 3.7, it was categorized “Good”, 2) the mean score pretest of students’ lexicogrammatical features of personal recount text was 53,2 it was categorized “Bad”. Meanwhile after using climbing grammar mountain game was 73,4 it was categorized “Good”. 3) The result of data analysis showed that ttest= 10.6, while the table df score of ttable 5% significant level was 2.06. It means that ttest was higher than ttable(10.6&gt; 2.06). So, the hypothesis is accepted. It means that, there is significant effect of using climbing grammar mountain game on students’ lexicogrammatical features of personal recount text mastery at the eighth grade students of MTs YPKS Padangsidimpuan 2021/2022 Academic year.