Reviewerly/exHarmony huggingface dataset:
Image Compression Using Mapping Transform with Pixel Elimination

In today's world, digital image storage and transmission play an essential role,where images are mainly involved in data transfer. Digital images usually take large storage space and bandwidth for transmission, so image compression is important in data communication. This paper discusses a unique and novel lossy image compression approach. Exactly 50% of image pixels are encoded, and other 50% pixels are excluded. The method uses a block approach. Pixels of the block are transformed with a novel transform. Pixel nibbles are mapped as a single bit in a transform table generating more zeros, which helps achieve compression. Later, inverse transform is applied in reconstruction, and a single bit value from the table is remapped into pixel nibbles. With these nibbles, pixel values of the block are reconstructed without any loss. The average method is used in reconstruction of excluded pixels. This approach achieves better quality in reconstructed test images at lower PSNR values ranging from 33dB to 44dB. Compression ratio achieved is more than 2. Correctness ratio achieved by proposed method is more than 0.5.
Evaluasi Usability Aplikasi Zenly Menggunakan Metode Usability Testing

The rapid development of applications has resulted in mobile application developers competing to create applications that are useful for the wider community, as is the case with the Zenly application. Through this application, every user can easily meet in real life, track the current whereabouts of someone with their consent, find the whereabouts of friends or relatives who are lost in the crowd, and follow the progress of the closest people. This research aims to determine the level of usability of the Zenly application and provide suggestions for improvement. The research stages followed a sequence of methods, including usability testing, preparation, execution, and analysis, time efficiency, and SEQ (Single Ease Question). Data was obtained on the average task time, success level, completion rate, and the lowest time efficiency, with task 1 taking 14,357 seconds, 38% success rate, two partial completions, and 87.5% completion rate. Based on the testing of these aspects and the results of the SUS (System Usability Testing) value of 71 Grade C (Good), the level of usability of the Zenly application is quite good but improvements need to be made, especially for task 1.
Prototype of the MPSO (Modified Dimension Particle Swarm Optimization) Algorithm Method in Searching for Computer Equipment Data inventory

cIn the development of information technology and computerization today, it encourages humans to create systems that can help their lives. Especially in the case of inventory of goods, especially if the location of these items is unknown due to their large number and large and large storage space. The PSO (Particle Swarm Optimazation) algorithm method is a suitable method for dealing with problems, namely searching for inventory data on computer equipment. This method is very useful, especially where the inventory stock of computer equipment is already huge, thousands of them. Especially with the small components. Equipment or computer data whose location was previously unknown, it is hoped that with this PSO algorithm method the inventory can be known which is then put in the data and managed properly. The reporting of computer equipment inventory data can be conveyed properly so that the company management can determine the steps to be taken with the data obtained.
Analysis Sentiment of Twitter User on Indonesia's 2024 Presidential Election Using K-Means Algorithm

The General Election is a five-year agenda of the Indonesian people in order to fulfill the political rights of every citizen for the election of the president and the legislature. In every election, especially during the campaign period, differences of opinion often occur between certain groups or factions, this often creates an atmosphere of political uproar in various parts of Indonesia. The purpose of this study is to see the level of sentiment of social media users towards the implementation of elections in Indonesia so as to minimize political upheaval that occurs in society during the elections to be held in 2024. The data that will be used in this research is data on Twitter users who have large volumes and are taken from all regions of Indonesia. To suit the data model used, this study will use the data mining method with the K-Means algorithm. The results of this study show the percentage level of public sentiment of Twitter users towards the 2024 election and presidential election. Public sentiment is positive, neutral and negative. Based on these results, it can provide input to the government so that it can make appropriate policies ahead of elections and presidential elections so as to create a peaceful atmosphere.
Analisis Pengelolaan Konferensi Nasional Pendekatan Business Process Management Menggunakan Value-Added Analysis dan Root-Cause Analysis

Conference management is one of the core business processes at the Research and Community Service Institute (LPPM) and it is conducted by online. The problem is the lack of a business process model for conference management, hence the committee had not a clear understanding of its activities. Furthermore, there has been no evaluation of the business processes, leading to unidentified weaknesses in the activities. The purpose of this research is to map and summarize the business processes using Business Process Management (BPM). BPM proves to be suitable for achieving the research objectives as it focuses on process approaches and provides tools and techniques to enhance the quality of conference management. The analysis employs qualitative process analysis with Value-Added Analysis and Root-Cause Analysis using the Why-Why Diagram approach to identify the root causes of issues and propose improvement measures for each business process. The research methodology used is qualitative with data collection technique involving interview, observation, and literature studies. The business process modeling adopts the Business Process Modelling Notation (BPMN). The research outcome presented a to-be process model that illustrated the recommended conference management business process which consisting of 7 main business processes, 27 sub-processes, 21 activities, and 200 tasks.
Educational Game-Based Mathematics Learning Media for Elementary School Children

This study aims to produce and test the feasibility of an educational game for Mathematics using Construct 2 software. This game contains Mathematics subject matter and is used as a learning medium at SDIT Smart Syahid. The research method used in making this Educational game is ADDIE (Analysis – Design- Development – Implementation – Evaluation), where the research stages are in the form of needs analysis, design process, product development, implementation, and evaluation. The analysis phase includes a needs analysis related to the product. The stages in the design process include the design process and making improvements if there are still design discrepancies between the user and the analyst. The product development stage contains manufacturing based on the analysis and design results that have been done before. Next is the implementation stage; at this stage, the programmer develops the design into a program that can be tested. The last step is the evaluation stage and making improvements if there are still design discrepancies between the user and the analyst. From the results of this study, the researcher succeeded in creating a Mathematics educational game.
How Media Create Ghosts

The subject of the article is the representation of ideas about the paranormal in the media. This issue is often brought up by psychologists, who directly point to the leading role of the media in the formation of such representations in present-day time. The author points out the kinship of research in the field of “paranormal psychology” with the studies of induced phenomena by Vladimir Bekhterev, who directly pointed out the role of mass media in the formation of induced ideas. The empirical part of the work consists in the analysis of a sample of media reports on the presence of ghosts, catalogued by the author. The main research question is how the features of the localization of the ghost phenomenon stated in the media can provoke its representation. The author concludes that the media are not only conductors of paranormal ideas, as noted by other researchers, but also partially demonstrate the causal relationships underlying the formation of paranormal ideas. The author underlines the close connection between a particular location, its history and the very report of paranormal phenomena in it. The author identifies the main descriptive techniques of the media associated with paranormal ideas, as well as shows the specifics of their distribution in the media environment. In fact, the article is intended to fill a kind of “information vacuum”, which has formed in the studies of ideas about the paranormal both in the Russian and foreign scientific environment, which makes this study very relevant.
Sistem Klasifikasi Monitoring dan Evaluasi Kelayakan Penerima Beasiswa UAD Menggunakan Algoritma Naïve Bayes

Kartu Indonesia Pintar (KIP) scholarship program at Ahmad Dahlan University includes a monitoring and evaluation internal process conducted at the end of each semester to monitor scholarship recipients. This allows for an assessment of their eligibility to receive the scholarship in the upcoming semester. The current manual MONEVIN process results in a time-consuming and less objective eligibility analysis. This eligibility determination system is needed, utilizing data mining techniques based on previous KIP scholarship recipient data to make predictions. Naïve Bayes algorithm, a data mining technique employing mathematical probability calculations, is utilized. The process begins with preprocessing, followed by data mining, evaluation, system implementation, and testing using System Usability Scale. The research uses a dataset of 270 student records, employing a 9-fold cross-validation process to split the data. Implemented model is integrated into a website-based system accessible to Biro Kemahasiswaan dan Alumni (BIMAWA). Model testing employs the Confusion Matrix technique, resulting in an accuracy score of 0.985, precision of 0.987, recall of 0.985, and an F-score of 0.985, indicating a favorable classification outcome. The system's eligibility assessment is further tested using the SUS, yielding a score of 90. Therefore, it can be concluded that the developed system is suitable for use.
Data Mining Menggunakan Multiple Regression untuk Prediksi Harga Saham Netflix

Investing in the stock market is an important and fascinating endeavor, especially when we observe significant increases in certain stocks. Currently, Netflix stock is one of the rising stars and sought after by investors. However, along with the potential for high profits, there are certainly risks of losses that need to be anticipated. To mitigate these risks, an investor must make predictions about future stock prices. One method that can be used is data mining, a data processing technique used to discover patterns in data. In this study, data mining was conducted using the multiple regression algorithm to predict the future price of Netflix stock. Python and Jupyter Notebook were used as tools to process the data, which was collected from January 4, 2010, to March 30, 2023, totaling 3334 data points. After data processing, the model yielded a score of 0.99%, indicating a highly reliable model. Additionally, evaluation using RMSE resulted in a value of 3.73, and MAE had a value of 2.80, both derived from 1334 testing data points. With accurate prediction results and the evaluation conducted, an investor can use these findings as a reference when deciding whether to buy or sell Netflix stock.
Link Analysis in Web Information Retrieval: a Survey

The analysis of the hyperlink structure of the web has led to significant improvements in web information retrieval. This survey study evaluates and analyzes relevant research publications on link analysis in web information retrieval utilizing diverse methods. These factors include the research year, the aims of the research article, the algorithms utilized to complete their study, and the findings received after using the algorithms. The findings revealed that Page Rank, Weighted Page Rank, and Weighted Page Content Rank are extensively employed by academics to properly analyze hyperlinks in web information retrieval. Finally, this paper analyzes the previous studies.
Rancang Bangun Sistem Informasi Pencarian Data Objek Pemajuan Kebudayaan Kota Bengkulu dengan Algoritma Sequential Searching

Information media supports knowledge about cultural objects, especially Bengkulu. The search for cultural objects in Bengkulu City. with the desired keywords using the Sequential Searching Algorithm is a solution to the search problem. This study uses a system development that applies the Waterfall method. Methods that are serial namely Analysis, Design, Implementation, and Testing. System testing uses the System Usability Scale (SUS) to test user convenience and Blackbox Testing to test functionality. A web-based search information system for cultural promotion objects of Bengkulu City has been built by applying the Sequential Searching Algorithm. The SUS test with 30 respondents got a score of 83.75, according to the Acceptable Range scale, which is Acceptable, the Grade Scale scale, which is B, and the Adjective Rating scale, which is good. Black Box testing is carried out for 22 activities to get 100% results meaning the system is running well. Based on the results of keyword testing and search time, it has a real time average of 0.055 ms for the 10 data tested. It was concluded that the information system for the promotion of culture in the city of Bengkulu is feasible to use.
Petrography and Mineralogy of the iron ore from Nawgwezany Mishao area– Shalair Valley, KRG - Iraq: Insights on the Genesis

Iron ore deposits have been identified from Nawgwezany Mishao in the Shalair Valley area within the Iraqi Zagros Suture Zone (IZSZ) at NE-Iraq. The iron ore is mainly hosted by the Shalair Metamorphic Rock Group calcschist. The transmitted and reflected light microscope study and X-ray diffraction of the calcschist revealed that the predominance minerals are calcite, and sillimanite, while muscovite, graphite, k-feldspar, and opaque mineral represent minor constituents. Meanwhile, skarn host rock as a second host rock shows the mineral assemblages of clinopyroxene, quartz, hornblende, epidote, plagioclase, sericite, garnet, and opaque minerals. The field and petrographical data indicated that the iron ore includes magnetite, hematite, pyrite, martite, goethite, and limonite. Magnetite and hematite constitute the predominant minerals of the ores, which display variable shape sizes (from &lt; 1 cm to &gt; 10 m) and chiefly occurred as massive, veins, veinlets, and disseminated grains. Based on some magnetite grains, filled veins in the host rocks support the hydrothermal ore-forming processes. The paragenetic sequence of iron ore and the presence of dendritic manganese texture on the surface of some of the skarn host rocks, as well as the petrographical identification of calcite twins in calcschist of types one and two, are the three reasons that point to the hydrothermal skarn origin of the iron ore. Overall field evidence, morphology, mineralogy, textures, calcite twins, and dendritic manganese texture on the surface of calcshist host rocks suggest that the Nawgwezany Mishao iron ore is related to the hydrothermal skarn deposit.
Review of Challenges and Solutions for Genomic Data Privacy-Preserving

The dramatic decrease in the cost of genome sequencing over the last two decades has led to an abundance of genomic data. This data has been used in research related to the discovery of genetic diseases and the production of medicines. At the same time, the huge space for storing the genome (2–3 GB) has led to it being considered one of the most important sources of big data, which has prompted research centers concerned with genetic research to take advantage of the cloud and its services in storing and managing this data. The cloud is a shared storage environment, which makes data stored in it vulnerable to unwanted tampering or disclosure. This leads to serious concerns about securing such data from tampering and unauthorized searches by those involved. In addition to securing inquiries, making calculations on this data, and generating differential privacy and garbled circuits, cryptography is considered one of the important solutions to this problem. This paper introduces most of the important challenges related to maintaining privacy and security and classifies each problem with appropriate, proposed, or applied solutions that will fuel researchers' future interest in developing more effective privacy-preserving methods for genomic data.
A New Efficient Hybrid Approach for Machine Learning-Based Firefly Optimization

Optimization is the task of minimizing or maximizing an objective function f(x) parameterized by x. A series of effective numerical optimization methods have become popular for improving the performance and efficiency of other methods characterized by high-quality solutions and high convergence speed. In recent years, there are a lot of interest in hybrid metaheuristics, where more than one method is ideally combined into one new method that has the ability to solve many problems rapidly and efficiently. The basic concept of the proposed method is based on the addition of the acceleration part of the Gravity Search Algorithm (GSA) model in the Firefly Algorithm (FA) model and creating new individuals. Some standard objective functions are used to compare the hybrid (FAGSA) method with FA and the traditional GSA to find the optimal solution. Simulation results obtained by MATLAB R2015a indicate that the hybrid algorithm has the ability to cross the local optimum limits with a faster convergence than the luminous Fireflies algorithm and the ordinary gravity search algorithm. Therefore, this paper proposes a new numerical optimization method based on integrating the properties of the two methods (luminous fireflies and gravity research). In most cases, the proposed method usually gives better results than the original methods individually.
Automated Cell Counting using Image Processing

Manual cell counting using Hemocytometer is commonly used to quantify cells, as it is an inexpensive and versatile method. However, it is labour-intensive, tedious, and time-consuming. On the other hand, most automated cell counting methods are expensive and require experts to operate. Thus, the use of image analysis software allows one to access low-cost but robust automated cell counting. This study explores the advanced setting of image processing software to obtain routes with the highest counting accuracy. The results show the effectiveness of advanced settings in CellProfiler for counting cells from synthetic images. Two routes were found to give the highest performance, with average image and cell accuracies of 85% and 99.8%, respectively, and the highest F1 score of 0.83. However, the two routes were unable to correctly determine the exact number of cells on the histology images, albeit giving a respectable cell accuracy of 79.6%. Further investigation has shown that CellProfiler is able to correctly identify the bulk of the cells within the histology images. Good image quality with high focus and less blur was identified as the key to successful image-based cell counting. To further enhance the accuracy, other modules can be included to further segment an object hence improving the number of objects identified. Future work can focus on evaluating the robustness of the routes by comparing them with other methods and validating with the manual cell counting method.
Hubungan Keberadaan Kedua Orang Tua Di Rumah Bersama Siswa terhadap Motivasi Belajar dan Prestasi Akademik

Starting with an incident that arose, there were two students who were twins but different. One of them has traits that are common among children on his age. Meanwhile, the other has a strength that is not generally possessed by children on his age, this student can know which of his interlocutors he can control and which he cannot control. The aim of this research is specifically for parents, so that they better understand how the presence of both parents at home with their child on their child's growth and development and future, such as motivation to learn in children so they get good academic achievement results for their future. The method used is quantitative research with Correlation/Relationship Test analysis techniques assisted by the SPSS 25 application, with a significance level of 5%, worth 0.367. The results of variable (x) and variable (y1) are the results of the questionnaire, while variable (y2) is the odd semester class IV-A. From the calculations, the result was that the first hypothesis, (H1)=x→ y1, the value obtained was 0.753, which could be accumulated in the high and low correlation category, including the "High" category. And the second hypothesis, (H2)=x→ y2 can be concluded, the value obtained is 0.549, which can be accumulated in the category of high and low correlation results including in the "Medium" category. It was concluded that the presence of both parents at home with students had a very significant relationship between learning motivation and students' academic achievement at school. This means that the more intensive the presence of both parents at home with the student will make better the student's learning motivation and also the student's academic achievement Keywords:Parents; Learning motivation; Academic achievement
Pola Asuh Keluarga dalam Menumbuhkan Minat Baca Anak sebagai Implementasi Literasi Keluarga

This article examines the parenting styles of parents who have the external task of fostering, leading and managing the care of children. Literacy in children focuses on reading and writing activities from an early age. These activities can be called pre-reading and pre-writing activities. There are subjects in this research, namely two families who have children in preschool age, namely 0-6 years in Ledeng Village, Cidadap District, Bandung City. Data collection in research uses interview, survey and documentation techniques. Then the data analysis techniques in this research are data collection, data reduction, data presentation, and conclusions. Based on research results, children's reading success and literacy culture are influenced by the family environment that shapes them. The more positive stimulation and influence given to children, such as the introduction of vocabulary and support for reading, the faster children can understand the writing they read and are able to encourage the success of a literacy culture in the family. The results were found in two different family samples and based on these results it was found that the more positive stimulation provided, such as the introduction of vocabulary and support for reading, the faster children can understand the writing they read and are able to encourage the success of a literacy culture in the family. Keywords:Family literacy;Implementation;cChiledres's;Family Parenting