Reviewerly/exHarmony huggingface dataset:
Kepraktisan E-Book Berbasis Konflik Kognitif Menginterasikan Real Experiment Vidio Analysis Untuk Meningkatkan Pemahaman Konsep Siswa

The development of the 4.0 revolution era is very influential on technological developments. Students are required to be more active and independent in learning in developing their potential. This study aims to determine the practicality of cognitive conflict-based e-books to integrate real experimental video analysis to improve students' conceptual understanding. This research method is development research or Development and Research. The development model used is the Plomp 2013 development model, which consists of three stages, namely the preliminary research, development or prototype phase and the Assessment phase. The e-book design developed is based on four syntaxes of cognitive conflict-based learning models, namely activation of preconceptions and misconceptions, presentation of cognitive conflicts, discovery of concepts and similarities, reflection. In the third syntax, real experiment video analysis is integrated. The instrument used is a one to one and small group practical sheet instrument. The assessment of the instrument is based on three components, namely 1) ease of use, 2) attractiveness, 3) benefits. The Instrument was analyzed with a Likert Scale. The results of the analysis show that cognitive conflict-based e-books that integrate real experimental video analysis to improve students' understanding of concepts have been practically used in physics learning.
Deepfake Detection with Data Privacy Protection

As image and video forgery can be easily used for malicious purposes, the detection of such forgeries has social and technical significance. In this work, we are particularly interested in the detection of Deepfake. For privacy and sensitive data preserving reasons, we engage a flank attack using Federated Learning, a distributed framework-based model which keeps data locally during training while uploading model parameters for aggregate instead. We propose a shallow network for tampering face detection. Also, we made some progress in promoting cross-dataset detection performance which is crucial in Deepfake detection. Our experiments show a well-balanced trade-off result between detection performance and privacy preservation.
Microsoft Graph and Dashboard Menu

In the previous chapter, we implemented the full-stack solution for retrieving data from OneDrive and displaying it on the MyFilesPage. We are going to take some of those concepts and update the Dashboard menu to include personalized information for the user’s email and name in the left corner.
Study of Integrated Systems Pumps in Coast of DKI Jakarta

Purpose: The development of DKI Jakarta is causing prone to flood threats so that required proper water management systems to reduce puddles or floods that occurred in some areas. Current water managament system is the Polder of Pluit water mangament system, and Pasar Ikan Pump system. Jakarta will plan an integrated pump system to reduce the workload of the Pluit Polder Pump System and Pasar Ikan Pump when the system is down for maintenance, the pump will be planned to include (1) Karang Pump System, (2) Haila-Marina Pump System, and (3) Sunter-Sentiong Pump System.&#x0D; Design: This study was conducted through three stages, collecting data, data processing, and a review of the results of the analysis. Within hydrology analysis, calculations of rainfall distribution were conducted by Normal Distribution method, Log-Normal, Gumbel, and Log Pearson III and tested using the Smirnov Kolmogorov Method. The calculation of the discharge plan using HSS Nakayasu. Hydraulic analysis with 25 years reset period of discharge plan performed using HEC-RAS software. Study of the integration of the four pump system on the north shore as a basis for drafting an alternative effort to control the puddle and flood in areas of its services and also to evaluate the discharge pump needed to improve the optimization and the pattern of the pump on the north shore system.&#x0D; Findings: The scenario of the operation of the four integrated pump systems provide better results than standalone scenarios, especially for the Karang Pump, Karang Ikan Pump, and Sentiong Pump with water elevation reduction of -1.67 m,-0,29 m, and 0.66 m. In contrast to Pluit Pump and Hailai-Marina Pump happen an increase in water elevation of 0.29 m and m 0.38. Worst impacts on system integration in the event of the failure of operation Pump Pluit, Hailai-Marina, and Sentiong were simultaneously or 2 pumps of the pump 3 failed to operate, so the necessary floodgates on every connecting channel between the systems. The presence of pump system Hailai-Marina and Sentiong was becoming very important, if the system pump is dead then impacted the increase of volume of the Pluit Pump of 215,0%, and 183.1% of the Pasar Ikan Pump which means Pluit Pump and Pasar Ikan Pump will work two times more weight of standalone scenarios, while the Coral Pumps operate normally without an increase in the volume of the pump i.e. 98.7%.
Web Based Parameter-Tampering on Shopping Site using BurpSuite Testing

Client’s web application’s infrastructure was monitored using several footprinting techniques and scanning of ports was done using n-map and other tools to get an idea of total network infrastructure of our client and several tools to get close enough to the web application were done as part of bug bounty. Among all performed attacks for example SQL injection, remote access, Cross-site scripting, etc. Web Based Parameter tampering attack was successfully deployed in-order to affect the integrity of their web application. Parameter Tampering on a web application is a vulnerability which is found by analysing the site and its pages by using the BurpSuite tool, Freeze the payment request of the Client’s store web page using intercept action and try to alter the parameters such as price, quantity, product id or to develop parameters such as coupon code and forward the modified request to the web server by unfreezing the request. If there is an Integrity and validation mechanism error in the server then the changes are reflected then it is vulnerable to parameter tampering attack and the web server redirects to the payment gateway with a modified parameter and if found so it is reported to the concerned author of the site as bug bounty report. By performing this attack there was a huge impact on their business.
ANALYSIS OF SOLID WASTE MANAGEMENT STRATEGY IN PELAYANGAN DISTRICT, JAMBI CITY, INDONESIA

The length of the title is recommended to not exceed twenty words. The abstract should be clear, concise, and descriptive. This abstract should provide a brief introduction to the problem, and objective of the paper, followed by a statement regarding the methodology and a summary of the results. The abstract should end with a comment on the significance of the results or a brief conclusion. Acronyms and citations are discouraged in the abstract. The abstract should not exceed 200 words and be followed by keywords (not more than 5 words or phrases arranged in alphabetical order). Keywords are covering scientific and local names (if any), research themes, and special methods used; and sorted from A to Z. The length of the title is recommended to not exceed fifteen words. The abstract should be clear, concise, and descriptive. This abstract should provide a brief introduction to the problem, and objective of the paper, followed by a statement regarding the methodology and a summary of the results. The abstract should end with a comment on the significance of the results or a brief conclusion. Acronyms and citations are discouraged in the abstract. The abstract should not exceed 200 words and be followed by keywords.
Signal Decomposition and Time-Frequency Representation Using Variable-Length Symmetric Filters

We present a time-frequency decomposition method to represent a time signal into a 2D (time X frequency) image, which describes how the frequency content varies along the time. This is done in two steps: firstly, by filtering the signal to obtain time-components; and secondly, by computing the average instantaneous frequency (AIF), which is used for moving the data components to the time-frequency plane. For the filtering process, we present an algorithm to generate a suite of symmetric filters that are computed recursively, starting with the high-frequency content of the signal, going down in frequency and leaving the lowest frequencies in the last filter component. This can be further decomposed by continuing the procedure. The symmetric impulse responses are zero-phase with positive frequency response, and they add up to a spike at the origin with a unit frequency response. The filtering procedure gives an exact decomposition of the signal and the traveltimes are preserved. Next, the analytic signal of each component is used for computing the AIF in sliding time windows, so that for each time sample, we have an associated AIF value. The 2D time-frequency plane is obtained by distributing and adding the data components along the frequency variable. Finally, by using the time X frequency distribution, a time-frequency filtering may be performed by stacking data of sub-domains with similar features. The new technique has been applied to two synthetic signals which have previously been analyzed by many authors using a variety of algorithms. The new signal decomposition algorithm and the AIF computation are simple and produce effective results on the synthetic data.
QUICK RESPONSE CODES: REVAMPING OF TECHNOLOGY CONNECTING THE REAL WORLD TO DIGITAL EFFORTLESSLY

This paper investigates the innovation that associated this present reality to the computerized with a single tick and made our lives easy. QR codes made lives simpler with a remote sensor framework that checks the information, holds the information, and offers the information with no time, which has a high clear and putting away limit. The quantitative paper comprises of the thought, history of the codes which transformed us. It likewise has an investigation of the creating innovation in the grid codes that are attempting to be more made sure about and simpler. The presentation contains the importance of the standardized tags, QR codes, and their set of experiences. Different comes the survey which gives the total guide of innovation which has the two points of interest and detriments. In an investigation, I discovered that developing advancements are making progress toward patching up on the planet. The discoveries furnished the chance of being acquainted with the developing innovation around and furthermore improved renditions of them.
Proposed enhancement for vehicle tracking in traffic videos based on computer vision techniques

In this paper, traffic video enhancement has been approached according to means of computer vision algorithms. We have measured the average number of tracks which assigned correctly in the whole video. These tracks express the correct prediction of vehicles that guarantee the keep track on process of each vehicle from the first frame until the end frame. In addition, some video degradation (i.e., salt and pepper, speckle and Gaussian noise) have been applied in order to measure the effect of these degradations on the tracking efficacy. Some filtering systems have been applied to the degraded traffic video in order to conclude the best filter mask which satisfies the least deviation in the value of assigned tracks. Experimental results shows that both wiener and disk filters are the best mask for salt and pepper video degradation. However, median filter mask is the best choice for both speckle and Gaussian video degradations.
Sistem Pendukung Keputusan Kelurahan Terbaik Di Kecamatan Padang Hulu Kota Tebing Tinggi Menerapkan Metode Weighted Aggregated Sum Product Assesment (WASPAS)

This Decision Support System is to facilitate the selection stage of the best Kelurahan which is held by the District of Padang Hulu, Kota Tebing Tinggi. Kelurahan is the division of administrative areas in Indonesia under sub-districts. Kelurahan is the work area of ​​the lurah as a Regency or City regional apparatus. One of the efforts carried out by the best kelurahan is to encourage development carried out by the kelurahan on the basis of their own determination and strength and to determine the kelurahan that excels in the implementation of community empowerment. Decision Support System (DSS) is a system that is able to provide problem solving skills and communication skills for problems with structured and unstructured conditions. DSS aims to provide information, guide, provide predictions and direct information users so that they can make better decisions. This system is a Decision Support System (DSS) which was built using the Weighted Aggregated Sum Product Assessment (WASPAS) method. Data processing will be carried out by a selection team from the Padang Hulu sub-district office by entering the value of each sub-district in Padang Hulu District, Tebing Tinggi City. Then the system will perform calculations according to the provisions of the Weighted Aggregated Sum Product Assessment (WASPAS) method which ultimately results in a ranking that can help the selection team of the Padang Hulu District Office of Tebing Tinggi City in comparing the rankings obtained. The system built using the WASPAS method has been able to determine which village is the best in Padang Hulu District, Tebing Tinggi City.&#x0D;
Cryptocurrency mining feasibility using low-cost hardware

The development of prototypes with low-cost a nd environmentally friendly components are an important part of the characteristics of project proposals within the academic and technological area in the Faculty of Industrial Engineering of the University of Guayaquil, the present work carries out a feasibility evaluation of mining of cryptocurrency using the Raspberry Pi hardware, documenting the process and evaluating each of the parties involved, in search of a viable option that allows mining a cryptocurrency, taking into account the security of the network through the mining process, it is intended find an energetically sustainable without giving up the fundamental principles of cryptocurrenciesKeywords-
LoGNet: Local and Global Triple Embedding Network

This paper introduces an end-to-end learning framework called LoGNet (Local and Global Triple Embedding Network) for triple-centric tasks in knowledge graphs (KGs). LoGNet is based on graph neural networks (GNNs) and combines local and global triple embedding information. Local triple embeddings are learned by treating triples as sequences. Global triple embeddings are learned by operating on the feature triple line graph $$\mathcal {G}_{L}$$ of a knowledge graph $$\mathcal {G}$$ . The nodes of $$\mathcal {G}_{L}$$ are the triples of $$\mathcal {G}$$ , edges are inserted according to subjects/objects shared by triples, and node and edge features are derived from the triples of $$\mathcal {G}$$ . LoGNet brings a refreshing triple-centric perspective in learning from KGs and is flexible enough to adapt to various downstream tasks. We discuss concrete use-cases in triple classification and anomalous predicate detection. An experimental evaluation shows that LoGNet brings better performance than the state-of-the-art.
Sistem Informasi Penilaian Kinerja Sales Lapangan dengan Metode Simple Additive Weighting (SAW) dan 360º

PT. MGT BANDUNG is a leading company in the marketing and distribution of Japanese food, Western and local food products in Indonesia. In evaluating performance at PT. MGT BANDUNG there are no systems and methods applied, this makes it difficult for companies to make measurable assessments.Therefore the company needs to build an employee performance appraisal information system to assist in conducting a systematic performance appraisal and applying methods so that the calculations can be more accurate and measured. With the employee performance appraisal system in this case the Field Sales Division, an analysis and design of a performance appraisal information system was carried out with the 360º method and Simple Additive Weighting (Saw). The system design method uses tools namely UML (Unified Modeling Language), Use case diagrams, activity diagrams, Class diagrams, and Sequence Diagrams. As well as applications used in making desktop-based systems. The programming language used is VB.NET and the SqlServer programming language. The results achieved in this paper are an information system to assess the performance of field sales at PT. MGT BANDUNG. From the results of the application of performance evaluation information systems in the field sales division with the Simple Additive Weighting (Saw) method and 360º method at PT. MGT BANDUNG management is easier to determine the performance appraisal of each employee with more accurate calculations. By using an alternative weighting C1 30%, C2 50%, and C3 20%.
Using User’s Expression Propensity for Sarcasm Detection Based on Sequential Three-Way Decision

Sarcasm detection is mainly to distinguish whether the target comment is sarcasm that can help identify the actual sentiment. The previous sarcasm detection mainly focused on text features using vocabulary, grammar, and semantics. But users' expression propensity is ignored which is helpful to distinguish some comments with uncertain sarcasm polarity in sarcasm detection. However, how to use the user's expression propensity for sarcasm detection effectively is a challenge. Based on the ideas of granular computing and three-way decisions, we propose a sarcasm detection model based on the sequential three-way decision (S3WD) to integrate text features and users' expression propensity. The S3WD divides the comments into the sarcasm (SAR) region, non-sarcasm (NSAR) region, and boundary region (BND), and then gradually divides the uncertain BND region into a clear SAR region and NSAR region. We firstly construct a sequential structure through analysis sentiment of comments' chunks. Second, text features and users' expression propensity are fed into different sequential layers for fusion that can guide the comment classification more effectively. Finally, contextual information is further applied to consider sentiment context during sarcasm detection. The experimental results on a large Reddit corpus show that our model improves sarcasm classification performance effectively.
Quantifying Raw RF Dataset Similarity for Transfer Learning Applications

Transfer learning (TL) has proven to be a transformative technology for computer vision (CV) and natural language processing (NLP) applications, offering improved generalization, state-of-the-art performance, and faster training time with less labelled data. As a result, TL has been identified as a key research area in the budding field of radio frequency machine learning (RFML), where deployed environments are constantly changing, data is hard to label, and applications are often safety-critical. TL literature and theory shows that TL is generally successful when the source and target domains and tasks are similar, but the term similar is not sufficiently defined. Therefore, quantifying dataset similarity is of importance for analyzing and potentially predicting TL performance, and also has further application in RFML dataset design. This work offers a dataset similarity metric, specifically designed for raw RF datasets, based on expert-defined features and χ2 tests, and systematically evaluates the proposed metric using synthetic datasets with carefully curated signal-to-noise ratios (SNRs), frequency offsets (FOs), and modulation types. Results show that the proposed dataset similarity metric intuitively quantifies the notion of similar signal sets, so long as the expert-features used to construct the metric are well suited to the application.
The Structure of Classifier Constructions and Some Related Theoretical Issues

Some questions regarding the analysis of classifiers and classifier constructions are raised in this paper. The classifier, as a mere adjunct adjoining to the head, cannot serve as the head of the noun phrase containing it, and as a result, it cannot project as ClP or nP. Under this approach, the DP analysis and the classifier construction theory are further refined. The constituents which precede and follow the classifier are analyzed in terms of their syntactic functions, semantic relations, linear features, feature assignment and syntactic occurrence in order to represent the classifier construction with the X-bar phrase structure theory appropriately and correctly and present a universal approach to classifier constructions in various languages.
Evaluasi Sistem Pengelolaan Rekam Medis Pasien Rawat Inap Study Kualitatif di RSKIA UMI KHASANAH

ABSTRACTGood management of medical records to support hospital services and useful if the information contained therein is complete and accurate. Medical record data is needed in the process of recording and reporting routine hospitals. The purpose of this research is to treat and manage medical records of inpatients at RSKIA Umi Khasanah Bantul. descriptive research with a qualitative approach. Research subjects Director, medical record personnel, midwives and doctors. Data collection using in-depth interview techniques supported by documentation. Data analysis technique with reduction, presentation, conclusion. The results of the patient's medical research using a manual system. Medical records are more than 2 x 24 hours because the medical record documents are not completely filled, the storage space is not sufficient, the SOP for medical records is not complete, the length of providing medical records according to the law is &lt;15 minutes, supervision medical records seen from the assessment indicators. The problem is that there is still a lack of medical record personnel, insufficient infrastructure.Keywords: Evaluation, Management, Medical Records
Efektivitas Penerapan Jobsheet pada Pembelajaran Praktek Instalasi Motor Listrik

Practical learning on Electric Motor Installation is one of the lessons in class XI and XII TITL at SMKN 5 Solok Selatan. Learning activities have not been effective because students only use a sheet of worksheets, where the worksheets used only contain pictures of a series of work made by students themselves before practicing. The purpose of the study was to obtain valid, practical and effective results of the Electric Motor Installation practice worksheet. Using the 4D development research method with 4 stages of activity, namely define, design, develop, and dessiminate, validity tests, practicality tests, and effectiveness tests have been carried out on the jobsheet. The results of the practicality test of the Electric Motor Installation practice worksheet are stated in the very valid category, the results of the practicality test of the worksheet are stated in the very practical category. The results of the josbheet effectiveness test stated that the jobsheet was effectively used. The conclusion of the research is that the Jobsheet is declared valid, practical, and effectively used in the practice of installing an electric motor for class XI TITL at SMKN 5 Solok Selatan.