Reviewerly/exHarmony huggingface dataset:
A New Algorithm for Secure Data Communication by Extension of Key-space Dimension

Abstract The heavy dependency of cryptography methods on mathematical theory and computational science necessitates the designing of a computationally secure cryptographic algorithm which is hard to break by an adversary. Matrix methods are intensively used in cryptography for their robustness and adaptability in the encryption of long messages but time complexity is a big concern while dealing with matrices of volumetric size. Further, the key generation function may limit the size of key domain which compromises the perfect security. Our work addresses these hindrances in priority to give an algorithm which is perfectly secure. This work contributes towards the matrix methods in cryptography; the two main attributes of a secured communication namely, true randomness of key selection and a liberty to extend the dimension of key space.
IMPLEMENTASI PROGRAM WAJIB BELAJAR PENDIDIKAN DASAR 9 TAHUN BAGI SUKU ANAK DALAM

The purpose of this study was to find out about the implementation of the 9-year Compulsory Education Program in Kelukup Hamlet, Dwi Karya Bhakti Village, Pelepat District, Bungo Regency, Jambi. The research method uses a qualitative-descriptive approach. Data collection techniques include observation, interviews, and documentation. The results of the study show that the implementation of the compulsory education program has been carried out quite well but has not yet achieved satisfactory results. Socialization regarding the importance of participating in the program has been conveyed to SAD residents through related parties. Non-governmental organizations play the most crucial role, namely as coaches, supervisors, assistants, and facilitators in every educational activity for the children of the Suku Anak Dalam. There are internal barriers from the SAD community to accepting the program, namely their suspicious attitude, strong customs and traditions, lack of gender equality, shyness and low self-esteem of children, and difficulties in paying for children's school needs. These obstacles were overcome by continuing to provide direction, understanding, and motivation to the SAD community regarding compulsory education, efforts by teachers to visit from door to door to pick up students to study, and efforts to provide scholarships for SAD children in need.&#x0D; Keywords: Implementation, Compulsory Education, Suku Anak Dalam.
The True Costs of Data Breaches Revealed (v3)

The True Costs of Data Breaches Revealed
Cheating Detection in Tests: A Systematic Review

Despite the significance of high-stakes testing in education, cheating behavior in tests continues to undermine interpretation and use of a test score. Numerous cheating detection methods were created to counter the problem, but no study was done to keep track of literature accumulation in this area. This systematic review was conducted to explore the literature landscape in the area of method to detect cheating in tests, ultimately to serve as a milestone for the field. The guiding research question of this systematic review is “What is the current literature trend in the field of cheating detection in tests?” After an exhaustive database search, 62 studies were selected for the in-depth review. 27 variables were extracted from each primary study by nominal descriptive coding, binary coding, and numerical coding. Results were divided into three main themes, literature distribution, methodological overview, and methodological concern. The area of cheating detection method in tests was found in its emerging stage, yet continually expanding with numerous methods available for use. Literature in this area has rooms for improvement on population representation and the need for the same standard in assessing performance of the proposed method. Future research could explore cheating behavior on other regions aside from western countries (e.g., Asia, Middle East), as well as applying the emerging technology of machine learning to detect cheating behavior at a higher efficiency. Essentially, cheating detection method is a promising area for resource investment that could benefit education as a whole.
Correction to: Serious Film Games (S.FI.GA.): Integrating Game Elements with Filmmaking Principles into Playful Scriptwriting

This book was inadvertently published with incorrect spelling of the author’s name in Chapter 13 and the preface of the front matter. We have now updated the author’s name in Chapter 13 and in the preface as ‘Emmanouel Rovithis’.
SENTIMENT ANALYSIS USING K-NEAREST NEIGHBOR BASED ON PARTICLE SWARM OPTIMIZATION ACCORDING TO SUNSCREEN’S REVIEWS

High UV exposure and tropical climate are afftected by the equator that passing through Indonesia. In this case, early aging will haunted not only by skincare lovers but also the rest of Indonesians including male and female. By so, we need to protect our skin using sun protector like sunscreen. Sunscreen application awareness through reviews by many different user probably are the most effective way to get to know the suitable sunscreen. By scrolling through the reviews surely will be time wasting. As of, sentiment analysis is the solution to classifying between negative and positive sentiments from the reviews. This research uses K-Nearest Neighbor (K-NN) algorithm as classification method because this method way more easy and efficient to use by its self learning, thus K-NN can learned its own data through its neighbor. Particle Swarm Optimization is used to increasing the accuration. Evaluation method using Confusion Matrix and the results are accuracy, precision and recall. Classification result using only k-NN and optimized with PSO are getting increase. Brand ‘Azarine’ rank the first accuration value with 91,89% using k-NN and 92,80% using k-NN PSO.
SMARTPHONE RECOMMENDATION SYSTEM USING MODEL-BASED COLLABORATIVE FILTERING METHOD

Smartphone are now an importan item that is needed by many people. The rapid development of technology make smartphone companies are competing to release their best smartphones.The many smartphones in online shop cause user to become disoriented about their choice. A recommendation system can help the user in choosing the smartphone that the user likes. In this study, a recommendation system was made using the collaborative filtering method with the K-Nearest Neighbors algorithm and combined with the application of K-Means algorithm to divide the smartphone into several group. The output of collaborative filtering method is that the model can give smartphone rating predictions to user. The prediction results will be used as the basis for giving recommendations to user. The purpose of smartphones groupping is so that the recommendation results are more specific and accurate. The evaluation of the model gets an MAE value is 1.1047 and RMSE value is 1.7579. So it can be concluded that the development of a smartphone recommendation system was successfully implemented.
MAPPING OF COVID-19 VACCINATION RECIPIENTS IN SUKOHARJO REGENCY BASED ON WEBGIS

Corona Virus Disease 19 (Covid-19) is an infectious disease caused by the acute respiratory syndrome coronavirus 2 (SARS-CoV-2). One of the efforts of the World Health Organization (WHO) in breaking the chain of the spread of Covid-19 is to implement health protocols and implement the Covid-19 vaccine program. Indonesia is one of the countries that implements the Covid-19 vaccination program in order to break the chain of the spread of Covid-19. Based on data from the Ministry of Health of the Republic of Indonesia on November 23, 2021, a total of 135,716,042 vaccinations were recorded for dose 1 and 90,520,201 for dose 2. To assist medical officers in determining vaccination targets and providing information to the public, a system that provides an overview is needed. mapping of vaccination recipients in the Sukoharjo area. In this study, a website-based mapping system was designed using webGIS, the data processed were data on the location and number of vaccine recipients based on age groups in the Sukoharjo Regency area. In designing the system using the Unifield Modeling language (UML) method to describe the design of the system being built. This application is made using the PHP and MySql programming languages ​​to manage the database. Testing is done using the blackbox method by testing the features of the resulting application. The result of this study is a WebGIS-based map of the distribution of the COVID-19 vaccination which contains information on the number of vaccination recipients per sub-district in the Sukoharjo Regency area.
Semiotics Analysis of Gojek Advertisements on Instagram

The rapid development of the era has made changes in various aspects of life, including the way of communication. One of the things the company does to communicate its message to its target audience is through advertising on Instagram social media. This article was created to analyze the signifiers and signified in advertisements, especially those published by Gojek on Instagram on 15 and 17 October 2021 using the Ferdinand de Saussure sign approach. This study uses qualitative methods to conduct research in collecting and analyzing data. The study finds 35 signifiers in 3 ads published on 15 October and 13 signigiers in 2 ads published on 17 October. October 2021.
COMPARISON OF FEATURE SELECTION TO PERFORMANCE IMPROVEMENT OF K-NEAREST NEIGHBOR ALGORITHM IN DATA CLASSIFICATION

One of the most widely used data classification methods is the K-Nearest Neighbor (K-NN) algorithm. Classification of data in this method is carried out based on the calculation of the closest distance to the training data as much as the value of K from its neighbors. Then the new data class is determined using the most votes system from the number of K nearest neighbors. However, the performance of this method is still lower than other data classification methods. The cause is the use of the most voting system in determining new data classes and the influence of features less relevant to the dataset. This study compares several feature selection methods in the data set to see their effects on the performance of the K-NN algorithm in data classification. The feature selection methods in this research are Information gain, Gain ratio, and Gini index. The method was tested on the Water Quality dataset from the Kaggle Repository to see the most optimal feature selection method. The test results on the dataset show that the use of the feature selection method affects to increase the performance of the K-NN algorithm. The average increase in the accuracy value obtained from the value of K=1 to K=15 is the Information Gain increased by 1.17%, Gain ratio increased by 0.69%, and the Gini index increased by 1.19%. The highest accuracy value in the classification of the Water Quality dataset is 89.66% at K=13 with the Information Gain feature selection method.
MOBILE-BASED CAR BOOKING SERVICE APPLICATION AT SRIWIJAYA BERLIAN CAR REPAIR SHOP

Current technological developments are needed to help companies face competition, especially in conveying information to many people. Sriwijaya Berlian Car Repair Shop does not yet have a flow in booking service. Therefore, an application is needed to help admins in booking services and make it easier for customers to make reservations. The method in making this application starts from gathering requirements, making prototypes and designing, implementing in the form of applications, and conducting testing. After passing the development stage, a mobile-based application and website for booking services were produced at the Sriwijaya Berlian Car Repair Shop. Based on the results of the blackbox test, it was found that the application was in accordance with what was expected by the application developer, while based on the results of the user acceptance test, the user's average perception was 88.88% with the indicator category "Very Good".
Japanese Language Learning Consistency in the Digital Era

This research was motivated by the pandemic which resulted in many restricted outdoor activities. The existence of restrictions on outdoor activities caused changes in behavior in the community and had an impact on reducing physical activity. Government regulations to strictly maintain health protocols as well as changing the learning system from face-to-face to virtual, affected the consistency of Japanese language learning in the digital era (new normal). This study is a qualitative descriptive study that aims to determine the consistency of Japanese language learning in the digital era (new normal) and to determine whether interest in learning Japanese has decreased or even increased in the digital era (new normal). The method used in this study is a descriptive qualitative method using a research instrument in the form of a questionnaire distributed using WhatsApp groups and e-mails. The subjects of the research were courses that held Japanese language learning. Data were obtained by distributing questionnaires, both open and closed questionnaires. The number of respondents are as many as 4 courses that open Japanese language learning online. The analyzed data shows that learning at the course remains consistent which means that the interest of Japanese language learner enthusiasts who take part in learning at the course does not change by looking at the percentage result of 100%. However, the next analyzed data got the answer that the learners increased if referring to the table of analysis results which showed a percentage of 75%.
ANALYSIS OF ANDROID BASED PALEMBANG BIBIK SAYUR APPLICATION USING USABILITY TESTING

The Bibik Sayur application is an application-based online grocery shopping owned by Palembang people, who are already very familiar with telecommunications technology. One of them is by using this application, it invites people to shop from home with quality goods and low prices. Moreover, in the midst of the spread of Covid-19, they have to face the crowd to find the quality goods they want. The problem that exists in this research is that the Bibik Sayur Application does not yet know the extent of the community's level of utility in using the Bibik Sayur Application service. From these problems, the Bibik Sayur application needs to be evaluated using usability testing which is a process where the software is tested to see how useful it is for the user, and if the user or user is satisfied with the software, it can be concluded that the application can be used properly. To measure usability testing on the Bibik Sayur Application, there are five usability aspects used, namely Learnability (easy to learn), Efficiency (efficiency), Memorability (easy to remember), Errors (error and security) and Satisfaction (satisfaction). The results showed the measurement of usability testing in all aspects, the score obtained was 84%. Based on the feasibility measurement scale, the value between the scale of 81-100 means that the Bibik Sayur Android application is very suitable for use by the people of the Sako sub-district, Sialang village.
IMPLEMENTATION OF FORECASTING EXPONENTIAL SMOOTHING IN THE NUMBER OF NEW STUDENT PREDICTION INFORMATION SYSTEM AT SMK AL MA'SHUM

SMK Al Ma'shum annually conducts socialization and promotions in junior high schools. Prediction of the number of prospective new students is one of the most important things in the evaluation process or high cognitive at SMK Al Ma'shum. This serves to determine the priority of how many prospective students will be accepted, where the number of students sometimes tends to decrease and increase. This makes the school must try to estimate the number of new students from each of these majors next year will increase or decrease. If this is not done by the school, it will have an impact on the operational costs of the school. The goal is to predict the number of prospective new students who will be accepted at the Al Ma'shum Vocational School next year using the forecasting exponential smoothing method. The prediction system for new students at the Al Ma'shum Vocational School uses the PHP and MySQL programming languages ​​to help the forecasting process be fast and accurate. The prediction results for 2022 are accounting majors as many as 19.23 new students with MAPE 20.52%, computer and network engineering majors as many as 102.73 new students with MAPE 9.12% and motorcycle engineering majors as many as 76 new students with MAPE 25.53 %. So it can be concluded that the forecasting exponential smoothing method can help predict new students at SMK Al Ma'shum.
Acquisition of Phonological Competence in Five-Year-Old Mentally Disabled Children at Panti Asuhan Yatim Sejahtera Banjarnegara (Psycholinguistic Study)

This research aims at describing language acquisition particularly at the level of phonological competence attained by mentally retarded children. The data in this research are gathered from children, who is mentally retarded, at the Panti Asuhan Yatim Sejahtera Banjarnegara. These data include vocabularies which are primarily nouns, for instance the name of transportations, fruits, and buildings. This is a descriptive-qualitative research of which steps were giving stimuli to the targeted child to pronounce some vocabularies. These pronounced-vocabularies were then employed in this research to further be examined. In order to discover the stages of language acquisition specifically at the level of phonological competence, the data will be analyzed with phonetic syllabus. Based on the result of the analysis, it indicates that the language acquisition of this mentally disabled child phonologically pronounced vocoid [i], [I], [e], [«], [a], [u], [U], [o], [¿], and [\]; and contoid sounds [p], [b], [t], [d], [k], [g], [c], [j], [h], [l], [m], [n], [÷], [w]; while sounds such as [Ö], [s], [r], [z], [q], and [v] were not able to be pronounced. In short, the phonological stage of language acquisition by mentally disabled child was obtained but it was not fully acquired.&#x0D; &#x0D; Keywords: language acquisition, mentally disabled child, phonological competence, phonetic syllabus
GROUPING THE PREVALENCE OF DISEASE CASES BY AGE IN BANDUNG CITY HOSPITALS USING K-MEANS

In 2019, the World Health Organization (WHO) stated that the top 10 types of diseases accounted for 55% of the 55.4 million deaths in the world. Meanwhile, in Indonesia, the province of West Java has the largest population, with the capital city of Bandung. Based on the health profile of the Bandung City Hospital, there were the ten highest diseases based on 18,147 cases. However, the data has not been processed into helpful information for the health department, especially the city of Bandung, to help determine disease cases by age group. So that the contribution of this study is to classify the prevalence of disease cases by age in Bandung City Hospital; this study aims to help the Bandung City Health Office take preventive, treatment and counselling actions against diseases that have a prevalence of disease cases based on age. This study uses the CRISP-DM methodology, with the K-Means clustering method and the testing method using the elbow method and the Davies-Bouldin Index (DBI). Data processing using rapid miner software and python programming. This study concludes that the optimal cluster value is K=2. The value of cluster 0 consists of the type of disease with the lowest case, and cluster 1 consists of the kind of disease with the highest case. Cluster 1 is the elderly and adult age group, while the age group in cluster 0 is the infant age group, the toddler age group, and the child age group.
A LOCAL COMMUNITY INTERNET REGISTRATION WITH NETWORK FAILURE REPORT MONITORING SYSTEM

Observing the great potential of the internet in rural environment, village government in Kragan, Gondangrejo District, Karanganyar Regency, has established internet network that residents could use with relatively lower price compared to that of other internet providers. Even though the internet connection has adequate speed, it still has obstacles specifically in managing the internet subscribers. Every villager who will subscribe to the internet must go to the village office and fill out a registration form and then the form is archived. Although the method is effective, it is vulnerable to customer data and information loss and is not flexible for residents who carry out their daily activities in a place that is relatively far from the village office. In addition, when there is an internet interruption, customers must send short messages to administrator, and then it will be inspected by a technician. Every reported problem is not stored properly, as a result, administrators cannot monitor whether customer complaints have been resolved. To overcome these two problems, a web-based application that is flexible and can be used by users with various computer platforms is proposed. The application development follows the waterfall model. The results of testing using black-box technique show that the functionality of the application is running with a failure percentage of 0%. Meanwhile, the test to determine usability level of the application using the System Usability Scale (SUS) method showed an acceptance rate of 66,2%, meaning that the application is suitable for use even though training for the users is needed.
GROUP DECISION SUPPORT SYSTEM FOR DETERMINING THE ELIGIBILITY OF PROVIDING HOUSING ASSISTANCE TO POOR FAMILIES

It is very difficult to determine the eligibility of recipients of housing assistance for poor families, especially in gampongs, based on the number of gampong residents who apply. the large number of people who applied for assistance made it difficult for village officials and decision-makers to make decisions. The existence of a model analysis in the eligibility of recipients of housing assistance so that there is no subjectivity in the provision of assistance. The purpose of this research is to identify beneficiaries of housing assistance for underprivileged communities who meet the requirements using the Analytical Network Process (ANP) and Borda models. The variables used are parents' work (C1), number of parental dependents (C2), sources of income costs (C3), housing conditions (C4), status (C5) and education (C6). The results of selecting the ANP model were that Aminah got a score of 1.445, Hasanah (A2) 1.415, Baihaki (A3) 1.6148, Fakri (A4) 1.53. The recommendation from the ANP model analysis is baihaki with a value of 1.6148. while from the borda model the total values are A1:355, A2:355, A3:212, A4:381 A5:254, A6:209, with a weight value of 0.201, A2 weight: 0.201, A3 weight 0.120, A4 weight 0.216, A5 weight 0.144 and the weight of A6 0.118. The conclusion from the research results gives priority to the community for the highest value in obtaining housing assistance. this study which received priority baihaki with a value of 1.6148 for the results of the ANP model and the results of the value of the model group was A3 with a value of 0.272.