Reviewerly/exHarmony huggingface dataset:
Design and Build a Student Activity Proposal Application Using Web-Based Digital Signature With Extreme Programming Method At Wastukancana College Of Technology Purwakarta

With the existence of computers and applications, it is hoped that it can help humans or users in processing and presenting accurate and fast information so as to obtain effectiveness and efficiency, both in terms of time and cost. However, this still really requires a security system in the delivery of a document or information so that it cannot be used by other unauthorized parties who can harm the owner of the document or information both materially and immaterially. Digital signature is an electronic signature that can be used to prove the authenticity of the identity of the sender of a message or the signer of a document, and to ensure that the contents of the message or document are sent without changes. (Junadhi, 2019) .The application development model used is the Extreme Programming model with the stages of planning, design, coding, and testing, using the Unified Modeling Language (UML) design, namely Usecase Diagrams, Activity Diagrams, Sequence Diagrams, and Class Diagrams. The builder software used is XAMPP and uses the Codeigniter framework and the PHP programming language with a MySQL database, and uses Black Box Testing as its testing. The conclusion that can be drawn from the results of making application for student activity proposals using web-based digital signatures with this extreme programming method is that the proposal tracking feature can make it easier for the Student Association to see if the proposals have been submitted and digital signatures using qr-code can make it easier student associations to directly print signature documents without coming directly to several parties, can make it easier for the Head of Study Programs, Student Executive Board, Head of Student Affairs and Head of STT to approve or approve proposal documents through applications at any time, and make it easier for the Head of Field Staff Students to monitor the delivery of proposal documents from the Student Association. So this application is still in the tri dharma of college.
User Interface Design With User Centered Design (UCD) Method on Bread Sales Mobile Application PT.Nippon Indosari Corpindo, Tbk

PT. Nippon Indosari Corpindo,Tbk. is one of the companies engaged in the food industry with its flagship product, namely bread with the brand "SARI ROTI". PT Nippon Indosari Corpindo,Tbk has been established since 1995. At PT Nippon Indosari Corpindo,Tbk, according to the author, the online buying and selling system used is not yet effective and efficient, because customers have to click the link to whatsapp to order, if the order has been entered then from the agent The center provides information to the nearest agent according to the location of the order ordered by the customer, and afterthat the nearest agent canonly send the order. Therefore, there is a lack of efficiency in the purchasing system. The problem isthat it does not yet have a prototype user interface for the Sari Roti mobile application. Based on these problems, user interface design was carried out and produced a prototype of the Sari Roti mobile application using a user centered design (UCD) model and for evaluation of the initial design using a usability scale (SUS) system to 11 respondents. This research is successful in designing a user interface that can view product lists, product details, make transactions, and order status. The initial design evaluation uses a usability scale system with initial calculations showing an average valueof 82,withGrade B
Sentiment Analysis of Police Performance On Twitter Users Using Naïve Bayes Method

After the case of alleged child rape in East Luwu which was stopped went viral in the aftermath of many other cases of sexual violence that were considered by the police to be inconsistent with procedures. After the hashtag #PercumaLaorPolisi appeared #PolriSesuaiProsedur hashtag became a trending topic on Twitter. This study discusses the sentiment of police performance on twitter users, aiming to measure how much sentiment the performance of the police according to twitter citizens who earned. The topic of this study is a mining text that uses the naïve bayes method. Text mining is a computer-based algorithmic technique/approach to gaining new knowledge hidden from a set of texts. The data from crwalling on twitter were analyzed using naive bayes which is a method for analyzing. Naive Bayes' algorithm is very effective in classification or classification problems. This algorithm works based on existing probabilities to determine the probability of the future. The steps in the Naïve Bayes method are preprocessing which includes transformation, tokenization and filtering processes. It is followed by the weighting of words such as TF-IDF and ends with classification and evaluation. As a result of this study, according to tweet data processed using the orange application and confusion matrix calculations, the police performance sentiment entered the neutral classification of 75.8%, negative 58.1% and positive 39.5% in the last order, as well as the resulting model at an accuracy value of 0.929, precision 0.933, recall 0.923, and f-measure 0.954
PERANCANGAN SISTEM INFORMASI PENYIMPANAN REKAM MEDIS RAWAT JALAN DI UPTD PUSKESMAS

The research aims to produce a system of record-keeping information in Visual Studio 2010 at UPTD Puskesmas. Software development methodology used waterfall system. The research found several problems in the processing of medical records storage in UPTD Puskesmas, namely : (1) Storage processing of outpatient medical records have been computerized, but the recording was still using Microsoft Excel so but that takes time was relatively long ; (2)Sometimes the data that has been entered inaccurate; (3)The duplication of data. The suggestion was given:: (1). Training and understanding of the clerk in the process and operate the report; (2). Information system is easy to creating operate so that the officers have that has been processed from Microsoft Excel but to make a report with the data has been processed. &#x0D; Keywords: Design ,Information Systems, Filling, Medical record.
PERANCANGAN SISTEM INFORMASI ANALISIS KUANTITATIF REKAM MEDIS RAWAT INAP DI RUMAH SAKIT BHAYANGKARA KOTA BENGKULU

This research aims to make design of system information design by quantitative analysis of medical records inpatient in Rumah Sakit Bhayangkara Kota Bengkulu.The method used in this research is qualitative research method which is a direct research method, such as data collection, field study and literature study, which is related to research problem, while software development using waterfall method with unified modeling language (UML) as design of software. Programming language used is PHP and database used is MySQL. Based on the research, various problems are found: quantitative analysis of medical records is not well computerized and reports have not been implemented properly. The suggestions given are: 1) the design of information system of quantitative analysis of medical record to optimize quantitative medical record analysis and recapitulation report of result of quantitative analysis, 2) maintain and develop information system of quantitative analysis of medical record and 3) follow up to doctors or an officer for completing an incomplete medical record form.&#x0D; Keywords: Design, system information, medical record, php and MySQL.
PERANCANGAN SISTEM INFORMASI KOHORT IBU HAMIL MENGGUNAKAN MICROSOFT VISUAL STUDIO 2010 DI UPT PUSKESMAS PASEH KABUPATEN BANDUNG

This research aims to design a cohort information system for pregnant women using Microsoft Visual Studio 2010 at the UPT Puskesmas Paseh Bandung Regency. This research used qualitatif methods with a descriptive approach. Data collection methods used are observation, interviews and literature study. The development method used is Linear Sequential/Waterfall. Programming language using Microsoft Visual Studio 2010 and Microsoft Access 2016 as database. From the research conducted, there were promblems found are : (1) the cohort register was manual, (2) the absence of a more effective system to facilitate reporting, (3) reports are often damaged or even lost. (4) inadequate facilities and infrastructure. The suggestions given to solve this problem are : (1) there is a need for a computerized system, (2) there is a need for socialization and guidance to the employees concerned, (3) the application needs regular maintenance, (4) adequate facilities and infrastructure are needed to support reporting activities.
An item based collaborative filtering recommender system

In the present computerized world where there is an interminable assortment of substance to be devoured like books, recordings, articles, motion pictures, and so on., finding the substance of one's preferring has become an annoying errand.Then again, computerized content suppliers need to connect with whatever number clients on their administration as could be expected under the circumstances for the most extreme time.This is where the recommendation framework comes into the picture, as suppliers refer to material to clients as indicated by client preference.In this paper, we have proposed a film recommender framework Movie Mender.The target of Movie Mender is to give precise film suggestions to clients.As a rule, the essential recommender frameworks think about one of the accompanying variables for producing suggestions; the inclination of client (for example content-based sifting) or the inclination of comparable clients (for example cooperative sifting).To fabricate a steady and exact recommender framework a half and half of substance based separating just as community sifting will be utilized.
Penerapan Location Based Service (LBS) dan QR Code Detection pada Aplikasi Pemetaan dan Penjemputan Retribusi Parkir Kendaraan Berbasis Android

One source of regional income for Cilacap Regency is the management of vehicle parking lots. Currently, parking area management is carried out by recording the identity of the parking location based on the street name, while the withdrawal of parking fees is carried out by towing officers who come to the parking location and then record it in a book. The current management of parking lots is still inaccurate because there are several street names that have more than one parking area which results in data redundancy. The conventional parking fee collection system causes frequent discrepancies in reports due to the potential for misuse of parking fees. The absence of tools that can be used by related agencies to control reports is the cause of the problem. The research objective is to develop an information system by applying LBS technology which functions to detect parking points precisely and QR Code Detection which functions to detect the identity of parking attendants. System development uses the ADDIE model. The results of the research are an information system for mapping parking lots and picking up parking fees based on Andorid which can help manage vehicle parking lots which includes mapping the location of parking lots and picking up vehicle parking fees.
Pengimplementasian Pembelajaran Jarak Jauh melalui Modul E-Learning Berbasis Layanan Cloud

Cloud computing is starting to be heard a lot and is growing rapidly which provides convenience and comfort. Cloud computing has a significant impact in the Education and learning environment, enabling users to perform tasks more effectively and affordably by leveraging cloud-based applications available by cloud service providers. The role of technological developments in the world of education is growing very rapidly, especially in the use of e-learning. e-learning facilitates the teaching and learning process in digital form which is carried out using electronic media. Keywords : E-learning, Cloud Computing, Electronic Media
A Study of Malaria in Sikkim

Background:To the best knowledge of the author, there is no available literature on the status of Malaria in Sikkim. Hence the preparation of this document. Objectives:To find out the parameters of Malaria in Sikkim till as recently as possible. Methods:By studying the documents prepared by the National Centre for Vector Borne Diseases (NCVBD) and the website of National Health Mission (NHM), Sikkim. Results: It is seen that the Annual Parasite Incidence (API) of Malaria in Sikkim had come down to the very low level of 0.03 in 2018 and that there were only 2 cases of Malaria in Sikkim during 2021 (up to 19th September).
Application of Knowledge Management in Efforts to Develop Human Resource at the Directorate General of Taxation

Knowledge management presents an opportunity for changes in the field of information and libraries in order to create forms that are more relevant to changing times. The purpose of this research is to understand the application of knowledge management at the Directorate General of Taxation. The method used in this study is a simple qualitative method through field object observation techniques and literature review. Based on research results, the Directorate General of Taxation has implemented knowledge management very well and consistently so that efforts to achieve individual and organizational performance can be achieved significantly. Through the implemented knowledge management system, institutional transformation becomes faster because all kinds of knowledge can be properly archived and easily accessed by all employees.
Digital Signature Standard Implementation Strategy by Optimizing Hash Functions Through Performance Optimization

Security method of data transmission process has been growing rapidly with the science of cryptography. Cryptography can provide security services that includes security aspects like confidentiality, data integrity, authentication and non-repudiation. Modern cryptography uses a key that must be kept secret to overcome the problem of cryptographic security. Problem in the use of the same key by two entities that communicate with each other in exchanging messages is a way to distribute the key. This problem can be overcome by using public-key cryptography, which allows users to communicate securely without a shared secret key. Digital signature is the application of public-key cryptography. When accessing important digital documents, it is necessary to verify the signature given. Implementation of digital signature always requires a hash function. Hash function used in this research namely SHA-256, SHA-384 and Tiger. Federal Information Processing Standards (FIPS) set the cryptographic standard for digital signatures is the Digital Signature Standard (DSS). Algorithms included in the DSS are the Digital Standard Algorithm (DSA), Ron Rives, Adi Shamir, and Leonard Adleman (RSA) and Elliptic Curve Digital Signature Algorithm (ECDSA). So it is necessary to test the best digital signature implementation strategy that can be used by optimizing the performance of the hash function. Performance testing of the three algorithms is done by making an application using a computer programming language C++. Implementation program using C++ class library for cryptographic scheme that is Crypto++ Library 5.6.0. Class libraries used in the classes functions for digital signatures. On the application of digital signatures generated, conducted tests is done by combining each hash function algorithm with each of the DSS in order to compare their performance in terms of time and memory usage. Against the test results are then analyzed using statistical tests. The result shows that pair of Tiger hash function and DSA algorithm is the best combination.
The Urgency of Learning Indonesian based on Local Wisdom

The purpose of writing this article is to describe the relevance or usefulness of learning Indonesian based on local wisdom in order to lead students with character in the life of the nation and state. The method used is qualitative with a literature study approach on learning Indonesian and local wisdom. Indonesian is the national language or state language. The competency standard for Indonesian language subjects is oriented towards the nature of language learning, that learning a language is learning to communicate and learning literature is learning to respect humans and their human values. Indonesian language learning is directed at increasing students' ability to communicate in Indonesian, both orally and in writing as well as creating respect for human creations. Through learning Indonesian, students are expected to become individuals who can appreciate and be proud of using the Indonesian language. Besides that, learning Indonesian also has a very important role in maintaining culture and customs in Indonesia. Learning Indonesian based on local wisdom is an effective way to preserve the existence of local culture through integrated learning at schools.
Modulation Classification for Non-orthogonal Multiple Access System using a Modified Residual-CNN

Non-orthogonal multiple access (NOMA) is a promising solution to the problem of spectrum deficiency. NOMA receivers require information about the modulation type of the co-scheduled user's signal to perform successive interference cancellation (SIC). Automatic modulation classification (AMC) is used to reduce the signal overhead created due to sharing of this information. In this paper, a convolutional neural network (CNN) with a modified residual block (MR-CNN) is proposed for AMC in NOMA systems. The classification performance of MR-CNN is evaluated on the input signal with four different modulation formats at varying signal to noise ratios (SNRs). Experimental results demonstrate the proposed model can achieve more than 90% classification accuracy for SNRs higher than 10dB. Further, comparative analysis depicts that the proposed model outperforms existing methods in terms of classification accuracy at low SNRs and has similar performance at high SNRs.
Pengaruh Penggunaan Media Pembelajaran Aplikasi Canva Terhadap Hasil Belajar Siswa di SMPN 2 Susukanlebak.

The purpose of this study was to determine: (1) the reflective experience of students using Canva application learning media (2) the effect of using Canva application learning media in the experimental class (3) differences in learning outcomes between students using Canva application learning media and students using media printed book. The results of this study show that based on the number of Likert scale calculations, students' experiences after using the Canva application learning media got results of 1% strongly disagree (STS), 2% disagree (TS), 5% doubtful, 45% Agree (S), 47% strongly agree (SS) in the Likert scale percentage, which is in the sufficient category because the average score of 4.18 (41%) is in the range of 40% - 59.99% = Enough. Based on the T test for the variable use of learning media (X) on learning outcomes (Y) shows a significance value of 0.000, the value is smaller than 0.05 (0.00 &lt;0.05). So the decision taken is H0 is rejected, Ha is accepted, that there is a significant effect of using Canva application learning media. Based on the Independent T test that has been carried out by the researcher, the significance value is 0.000, the value is smaller than 0.05 (0.00 &lt;0.05). So the decisions taken there are differences in learning outcomes between the experimental class and the control class
A Weighting Possibilistic Fuzzy C-Means Algorithm for Interval Granularity

Granular clustering is an emerging branch in the field of clustering. However, the existing granular clustering algorithms are still immature in terms of weight setting of granular data and noise resistance. In this study, a weighting possibilistic fuzzy c-means algorithm for interval granularity (WPFCM-IG) is proposed. To begin with, a new weight setting method for interval granular data is given. The principle of justifiable granularity is used as the evaluation criterion of granular data, and a weight is assigned to each granular data from two perspectives of coverage and specificity to measure the quality of the granular data. In addition, the idea of possibilistic clustering is introduced, which is helpful to improve the noise resistance. And, with the proposed weights of interval granular data, the influence of data with smaller weights on the clustering results can be reduced during the clustering process. Based upon these ideas, the WPFCM-IG algorithm is put forward, and its core idea, formula derivation and implementation process are described. Finally, the performance of the proposed algorithm is verified by comparison experiments on the artificial and UCI datasets. The experimental results show that the WPFCM-IG algorithm is better than other advanced algorithms in this field in terms of reconstruction error. Next, the WPFCM-IG algorithm is smoother than other algorithms on the collaborative relationship curve between the fuzzy coefficient and the reconstruction error, so WPFCM-IG can better optimize the fuzzy coefficient.
E- Publishing effects on paper based traditional libraries

The study looks at electronic publishing and its impact on the traditional library.
The state of the art in machine learning: Based digital forensics

Digital forensics of visual-based evidence from video surveillance systems and forensic photographs holds object detection as a key aspect of the process.Recognizing an instance of object classes over a wide range of image data using computational techniques is one of the areas that has gained continuous attention over the years due to their numerous practical applications.Several algorithms and techniques have been specified for object detection and recognition with Machine Learning gaining more prominence and ensuring the remarkable performance of object detection and recognition systems.This study presents a comprehensive review of the frameworks and applications of Machine Learning in object detection and classification with particular applications to Digital Forensics.The analysis covers a wide range of publications between 2007 and 2019 available in different indexed and non-indexed databases and the candidate papers were selected using certain exclusion criteria proposed in the Kitchenham's methodology.The study in a bid to streamline future researches categorized digital forensic researches into six knowledge areas and identified the convolutional neural network as a stateof-the-art algorithm for machine learning-based digital forensics.
Noise-Tolerant Radio Frequency Fingerprinting With Data Augmentation and Contrastive Learning

Deep learning (DL) based identification systems are deemed as the scalable, accurate and lightweight authentication mechanisms to handle the security provisioning of massive Internet of Things (IoT) systems by leveraging the hardware-level radio frequency fingerprints. However, the conventional DL-based methods perform poor generalization in the practical time-varying signal-to-noise ratio (SNR) scenarios. In this paper, we propose a data augmentation and contrastive learning based radio frequency fingerprinting (DACL-RFF) with the joint optimization of samples agreement and labels agreement. First, we expand the SNR variations of training dataset with data augmentation, and then we propose a novel framework of contrastive learning. Specifically, we employ the original samples as the supervisory information of augmented samples and the label information of original samples is leveraged to guide the training process. Experimental results demonstrate that our proposal can increase the average accuracy by up to 51.74% in comparison with the case of none augmentation as the conventional DL-based methods. Additionally, we show that our framework of contrastive learning yields 5.27% improvement compared to the case of data augmentation with supervised learning.