Reviewerly/exHarmony huggingface dataset:
Algoritma Forward Chaining dan Teorema Bayes Dalam Sistem Pakar Screening Parafilia

Paraphilias are a group of disorders related to sexual activity that society considers strange or abnormal. This causes many people with paraphilia to experience ostracism and hide their condition. Even though social media and news report on the increasing phenomenon of paraphilia, there are still many people who don't know how to deal with this condition. Economic limitations and embarrassment discourage many people from visiting specialists such as psychologists, especially since most of them live in big cities. This makes it difficult for the public to access accurate information and early diagnosis. This factor causes people with possible paraphilia to be less aware of their condition and reluctant to seek treatment. This study uses additional methods such as forward chaining and Bayes' theorem to overcome the uncertainty of diagnosis and increase the level of accuracy. This expert system can assist the community in carrying out an accurate self-diagnosis to detect possible paraphilia. This system is capable of diagnosing 8 types of paraphilia with 31 symptoms.
Pengelompokan Data Pertumbuhan dan Kontribusi Ekonomi Indonesia Menurut Provinsi Menggunakan Metode K-Means Clustering

Since the Covid-19 pandemic in recent years, several countries have been preoccupied with how to break the chain of the spread of the virus, including Indonesia, whose government policies are considered contradictory in efforts to improve the economy in Indonesia so that the economy has decreased in many regions in Indonesia. The importance of restoring the regional economy in order to improve people's welfare requires the government to be able to pay more attention to the region. to group the economic growth and economic contribution of Indonesian cities using data mining techniques with the K-Means Clustering algorithm using rapid miner tools. This research will classify into 3 clusters, high, medium, and low clusters. The results obtained for Indonesia's economic growth resulted in 2 provinces for high clusters, 1 low cluster, and 31 provinces for medium clusters. For the economic contribution of high clusters are 3 provinces, low clusters are 24 provinces, and medium clusters are 7 provinces. This method is considered to work well on the object of this research data.
Sistem Penentuan Rumah Tangga Miskin Di Kota Bengkulu Menggunakan Metode SMART

Poverty is one of the problems that seems to continue to arise in this country's problems. The Social Service is one of the government agencies engaged in the social sector which carries out data collection activities and determines poor households in the city of Bengkulu. The problem in this study is that the determination of poor households is still done manually so that they are prone to errors or human errors in the process. In this research a software system for determining poor households has been created so that it can be a tool for the Bengkulu City Social Service in determining household categories in the Bengkulu City community. In this study, the SMART method was used because the SMART method is multi-criteria that supports many criteria in determining decision-making and does not affect the weighting calculation if there are additional or reduced alternatives because each alternative assessment does not depend on one another. Apart from that, to determine the grouping of poor household categories, where from the calculation results of the SMART method, the process of determining the final stage of determining poor households will be carried out. In discussing this research regarding the application of the SMART method, it can provide the final result in the form of determining household categories in each family data.
Implementasi Kombinasi Enkripsi Base64 Dengan Hashing Sha-1 Dan Md5 Pada Aplikasi Perpustakaan Universitas Muhammadiyah Bengkulu

One of the aspects of information security that can be done for a system is by adding security to a system, if using Base64 with static Sha-1 and Md5 hashing there is little possibility of data theft by hackers because they have been given layered security, to apply base64 with hashing-1, a cryptographic science mechanism is needed in it. Lately, many universities in the library unit section have placed web-based applications on the internet as a medium for displaying information systems that are very cheap, many activities can be carried out by users on these presentation media, such as accepting registration for new library members, ordering books, presentation of scientific journals, presentation of student final assignments (thesis, theses and dissertations) and others. Data security that still uses the usual method often causes several problems, such as being exposed to attacks and break-ins by hackers which can result in leaks and loss of existing data. This problem arises because there is no security system for library applications, the purpose of this research is to implement security for the library system by implementing a combination of Base64 encryption with sha-1 and MD5 hashing so that important data contained in the library unit is safe from leaks. After implementing the collaborative use of Base64 with sha-1 and MD5 hashing, the results of hacking a simple Python script to test a brute force attack for testing password storage security using a combination of Base64 encryption and SHA-1 and MD5 hashing on library applications with after results testing a brute force attack on the Visual Studio Code (VSC) application, the results obtained are "Passwords do not match", this result indicates that the collaboration of several algorithms was successful.
Perancangan Aplikasi Pembelajaran Desain Grafis Corel Draw X7 Dengan Menggunakan Learning Management System

Learning is a process of teaching and learning activities that are designed systematically, carried out between teachers and students, in order to achieve the designed learning objectives. The learning process must be designed in a system that is paying attention to an object as a whole. A good learning method is a method that is able to bring students to achieve an educational goal and train students' abilities in various activities, especially in Corel Draw Graphic Design subjects. Corel Draw is a vector graphics editor application that is used for designing, such as logo design, banners. , banners, covers etc. As for the many tools that exist in the Corel Draw X7 application, it is one of the obstacles experienced by Class XI SMK students in graphic design learning. The application of conventional learning models is still considered less effective. In addition, even with the addition of time, learning is still considered less effective. To overcome the existing problems, the author intends to design a corel draw X7 learning application by applying the Learning Management System model. Learning Management System is a web-based technology that helps in planning, distribution, and evaluation of a learning process. LMS provides an integrated platform for learning materials, delivery, and management that can be accessed by students, material makers, and administrators. This LMS is a learning model that contains trainings that use services to collect and deliver learning content quickly and precisely so that it will make it easier for students to understand learning to achieve the target of completing learning on time both online and offline as well as near or far distance learning.
Implementasi Teknik Steganografi Menggunakan Algoritma Cardan Grille

Data security and confidentiality is an activity that aims to secure data, especially data that is confidential and important. If there is a break-in and theft of information of an important data in a file, it will be detrimental to the parties concerned. Therefore it takes Steganography technique is a technique that can hide messages or confidential information into other messages so that other people are not aware of the existence of the message to be hidden. In this study, the authors build a text data security system using the Cardan Grille Algorithm. whose main function is to hide messages, not to encrypt messages, so Cardan Grille is more often used for steganography. To do Cardan Grille, you need a perforated sheet and in the holes will be filled with letters, which are filled with letters, which are filled with messages and after that the sheet will be lifted and filled with the remaining sentences.
Perancangan Aplikasi Duplicate PDF Scanner Menerapkan Algoritma MD2

We are now in the era of the digital world. Many industries have switched to digital technology such as photos, videos, music, and so on. Of course, this change brings many benefits for us in terms of speed and data access. The ease of accessing the internet also has a major impact on human life. The ease of accessing documents online is very helpful if you want to find and download pdf documents online. With this convenience, many of the same pdf files are downloaded more than once. This will definitely burden the storage space. To distinguish one pdf file from another, it is done by viewing and reading the contents of the pdf file. This is very inconvenient and time consuming. To overcome this, we need a practical way that can be used to search for the same pdf document so that it can delete duplicate pdf files. One way that can be used to overcome this problem is to use a hash function, one of the hash functions in cryptography is the MD 2 algorithm or Message Digest 2. By using the hash function, the identity of the pdf file can be generated. If the pdf files are the same it will produce the same hash value as well. This will make it easier to group the same pdf documents so that it will speed up the process of deleting the same pdf files. With the pdf file scanner application, pdf files will be searched for all folders and will group pdf files based on the same hash value. So that it will be easier for users to delete the same pdf file.
Penerapan Kombinasi Algoritma Sequitur Dan Punctured Elias Code Untuk Kompresi File Teks

Text files have a large size that affects the storage space and the sending process. This size is a factor in how much storage space will be used and how long it will take to send files. The longer the text, the bigger the size. large size can be overcome by doing the compression process. Compression is done to reduce the size of a file. Compression algorithms that can be used are sequitur algorithm and punctured elias code algorithm. The advantage of the sequitur algorithm is that it replaces 2 characters side by side with 1 terminal character in the character set, while the advantage of the punctured elias code algorithm is that there are two codes, namely P1 and P2. Text file compression is done by reading the input string in the text file (*txt and *.doc) and encoding the string using punctured elias code P1 and P2. The two algorithms will be combined to produce a smaller size than the previous size.
Pedagogical framework for the design of immersive teaching environment

Virtual reality technology has a growing potential to empower and support the development of immersive teaching environments where students would have a completely different learning experience. The aim of the research is to determine the design constructs of the teaching environment with virtual reality technology, and to create a prospective pedagogical framework (system) for creating an immersive teaching environment. Using qualitative and comparative content analysis, the paper reinterpreted the existing studies dealing with various pedagogical frameworks of VR technology integration in the teaching process and then the modeling method was applied. The methodical function of the proposed pedagogical framework (system) is of an assistive character because it can be useful to practitioners in the process of contemplating about possible ways of designing immersive teaching environments within interdependent subsystems (theoretical, action, technical and subject subsystems), guided by the basic constructive elements and proposed guidelines for the design.
Usage of adapted writing of names from foreing modern languages in the Serbian daily newspapers

In this paper, we will present the results of the content analysis that we used when examining the usage of transcription in the Serbian daily newspapers that are published nationally, videlicet in the sections: "Politics", "World" and "Sport". The data was collected from June 21 to June 27, 2021. Textual analysis and quantitative analysis of content were used in the study. Our aim was to determine the frequency of transcription errors in the Serbian press. Anthroponyms from those languages whose transcription is explained in the Orthography Book of Serbian were our unit of observation. In this paper, we introduced a new communicative-linguistic term "transcriptional fallacy" which was also a segment in the analysis. The obtained results tell us that the frequency of transcription errors is on a medium level, which leans more towards a bad than a good grade. Transcription errors are most often made due to an uncritical imitation of the original language's script, although the other two fallacies (modeled an acoustic impression and a wrong language) are also frequent.
Reflections of postgraduate students on the quality of teaching in the course the methodology of teaching Serbian as a foreign language

The topic of this article is the evaluation of the quality of teaching in the course The Methodology of Teaching Serbian as a Foreign Language, which was introduced in the school year 2021/2022 in the postgraduate program of Serbian language studies at the Faculty of Philosophy in the University of Nis. The goal of the research is to create a clearer image about the quality of teaching of the course itself, as well as to extract specific conclusions about the possible improvements to the course. In the article I used the method of theoretical analysis as well the method of content analysis, in other words the descriptive method with the techniques of surveying and scaling. Although only nine students attended the postgraduate program, and only five elected this course, I received valuable results from two students in particular, surveyed before the start and after the end of the course. The students noted several reasons for their overall satisfaction with the course they attended, namely the appropriateness of the activities and the scope of the course material, as well as the number of ESP points entailed in the course, in other words the compatibility between the actual activities the students performed in the course and those activities entailed in the curriculum. Additionally, other positives included: a systematic, complete and harmonious organization of the lecture and tutorial classes, the use of class materials prepared by the teacher before every class -bibliographies, specific lessons and video-materials, the punctual realization and evaluation of pre-examination obligations, as well as the practice of working with cameras during online classes (established during the appearance and spread of the Corona virus). However, apart from positive remarks the students offered several negative comments, mainly those pertaining to the insufficient time allocated for: 1) the creation of student teaching materials (textbook lessons), 2) work with foreign students, and 3) the exhaustion of attending tutorial classes which were held immediately after the lecture classes.
Implementasi Algoritma Quicksort Untuk Pembangkitan Kunci Algoitma RSA Pada Pengamanan Data Audio

The RSA algorithm has two keys, namely the public key and the private key. This algorithm has security which lies in the difficulty in calculating discrete algorithms. Both encryption and decryption keys are integers. The RSA algorithm is a type of asymmetric cryptography algorithm, which consists of two keys, namely the public key for encryption and the private key for decryption. In the RSA algorithm, the distributed key is a public key which is not required to be kept secret while the private key is either stored or not distributed. Everyone who has the public key can perform the encryption process but the results of the encryption can only be read by the person who has the private key. To increase the strength of the algorithm, the key used to perform the encryption and decryption process will be modified first using a randomization algorithm, namely the Quicksort Algorithm. The Quicksort algorithm is a sorting algorithm developed by Tony Hoare, the average sorting performance is O (n log n) to sort n items. The purpose of using the Quicksort algorithm is to make the resulting key more difficult to guess, making it difficult for cryptanalysts to read the message or information.
Effects of Delayed Cord Clamping on Neonatal Hematological Status at Maternity Teaching Hospital in Sulaimani City/Iraq

Background: Infants born at full term consistently had better hematologic and iron status in the short- and long-term when the umbilical cord clamping was delayed for at least 2 minutes after birth. Aim: In this study, the bilirubin serum, hemoglobin, and hematocrit levels of term newborns who underwent early cord clamping versus delayed cord clamping following a typical vaginal delivery were compared. Material and Method: A true experimental study involving (160) pregnant women from the labor ward who were in the second stage of labor. Participants were randomly assigned between the 1st of July 2021 and the 1st of February 2022, samples were selected by using a simple random sampling technique through the Structured Interviewing Questionnaire and the neonatal outcome, hematological parameters (Hemoglobin and Hematocrit), and total serum bilirubin level at the 72 hours after birth, and the participants were randomly divided into two groups early cord clamping (< 1 minute), and delayed cord clamping (more than 1 minute). Descriptive and inferential statistics were applied to the data analysis. A structured interviewing questionnaire; includes two parts socio-demographic characteristics of the pregnant women with early and delayed cord clamping on neonatal outcomes (Hemoglobin, Hematocrit, and Total Serum Bilirubin). Result: Among the 160 participants who completed the study 80 were control group (early cord clamping) and 80 were study group (delayed cord clamping) group. Delayed cord clamping was associated with higher hemoglobin, and hematocrit among newborns after 72 hours. Neonatal hemoglobin ranged from 16.8 ± 1.99 g/dl and there was a statistical reduction in early when compared to the late cord clamping group (17.9± 1.33 respectively). Serum bilirubin ranged from 6.28± 2.89 and there was a significant reduction in early when compared to the late-cord clamping group (8.27± 3.52 respectively). Conclusion: The use of a delayed cord clamp is helpful because it is a quick, easy, and safe maneuver. Delaying cord clamping in term newborns resulted in higher hemoglobin and hematocrit levels without having an unfavorable impact on neonatal characteristics, and significantly higher newborn hematocrit and neonatal hemoglobin levels. In addition to a large rise in blood volume and red cell volume in newborns, it reduces anemia.
Aplikasi Pengenalan Identitas Gambar Dengan Menggunakan Metode Backpropagation

With today's technological developments, many types of identifier systems have been developed for the benefit of users of the technology. This recognition system is used for some objects or also on humans. Image recognition applications have great hopes for the future. Start with the introduction of sketch images or static photos in a certain format. Of course, this is supported by the development of science and technology in the fields of image processing, analysis, and image understanding. To recognize the identity of the image so far it is very rare, but in this study describes how to identify the identity of the image with human photos. The image (image) in question is an image or human image whose identity is not known. Currently, many manipulate images or photos with the same image. However, it is not known which one was manipulated and which one was genuine. Based on these problems, it is necessary to apply an identity recognition system so that it can be known which ones are manipulated and which ones are genuine, by applying the backpropagation method. According to previous research entitled facial recognition applications using the backpropagation algorithm and voila jones with the authors Sayuti Rahman, Emil Fitranhah, Andi Marwan Elhanafi stated that to be able to recognize a person's image with the backpropagation algorithm, one must go through several stages of training and testing stages. Image is a method found in artificial neural networks. Where the artificial neural network is an artificial representation of the human brain which always tries to simulate the learning process in the human brain. one of them is the backpropagation method, backpropagation is one of the artificial neural network models that has the ability to get a balance between the network's ability to recognize the patterns used during training and the network's ability to provide the correct response to input patterns that are similar (but not the same) with the same pattern. used during training.
Implementasi Metode Text Mining Frequency-Invers Document Frequency (Tf-Idf) Untuk Monitoring Diskusi Online

Discussion is an interaction between two or more people. Usually, this exchange takes place between these groups in the form of basic knowledge or the like, and in the end this knowledge will give a good and correct understanding. Discussions can take the form of anything that was originally called a topic or dialogue. Starting from the topic, discussing and discussing, eventually it will make people understand the topic. Forum is a forum or a meeting place for several people whose aim is to exchange opinions on topics or issues that are not related to the forum. This application was built using a programming language, and the results of testing on this application can be used as a method to discuss data or message security that can guarantee security without being noticed by unauthorized parties
Knowledge, attitude and practice (KAP) of hotel employees about artificial intelligence usage in hotels: A case study of Katsina metropolis

The study focused on assessing the knowledge, attitude, and practice of hoteliers on artificial intelligence usage to hotel profitability in Katsina State. Information related to potentials of artificial intelligence as marketing tool as well as its profit-making potentials was reviewed. The study was conducted within Katsina State and cross-sectional type of survey was adopted in conducted the study. Five large hotels within the state with a population of 216 staff were used and purposive as well as proportionate random sampling methods were used to come up with 160 respondents as the sample size for the study. Information was retrieved from the selected respondents using a four-point likert scale. The collected data was subjected descriptive statistics for the analysis. It was indicated that majority of the respondents are male and are of the age between 31-40 years. With a mean score of 2.79, it was identified that artificial intelligence is new to many people and professions, but they are realising its importance. It was also considered at a mean score of 2.90 to serve as a tool for curtailing human errors and it is faster than human in its operations. It was further proven at a mean score of 2.78 to be a tool hotels are using in solving many of their marketing problems. The study concluded that hotels are aware about artificial intelligence and its marketing as well as profitability potentials, but some are sceptical about accepting it to be their marketing tool. It was recommended that hotels should be enlightened on any advancement in technology such as artificial intelligence that can benefit their business as well as marketing operations .