Reviewerly/exHarmony huggingface dataset:
HERITAGE DATA VISUALISATION SERVICE FOR MUSEUM STAKEHOLDERS

Abstract. The goal of this study was to help cultural heritage administrators, curators and museum visitors apply their understanding and knowledge of artefacts in the museum and the correlations between their embedded contexts appropriately in their work and roles. This study developed the Artefact Data Management Programme and the Artefact Data Visualisation Programme specialised in cultural heritage so people can quickly and easily access the desired information through the correlations between artefacts. The Artefact Data Management Programme combines a Windows-based data converter programme and an artefact management programme that can import and utilise the files converted by the programme. Through the Artefact Data Management Programme, users can enter, modify and delete sub-attributes to manage them. Moreover, this study also allows curators to plan exhibitions from a new perspective through the Artefact Data Visualisation Programme, which converts the entered attribute information of the artefacts into visualised content and edits it. Incidentally, visitors who are non-experts can also understand the relationship between artefacts and learn information through this webpage. In conclusion, the ultimate goal of this study was to produce useful programmes that could help museum stakeholders to edit and utilise cultural heritage data.
Classroom Strategies of English Teacher Toward Passive Students In Speaking Class At SMK Maniamas Ngabang

Many problems faced by the English teacher toward passive students, it makes the leraning Process become not effective especially for teaching speaking.This is a descriptive analysis about the classroom strategies toward passive students in speaking class.This research to find out the appriate strategies for passive students in speaking class.Twenty-eight participants of this study choosen purposively ; who already took basic and intermediate speaking class.This study used qualitative methods.The data collected by interview and questionnaire.The results of the study showed that the play based-method is the appropriate strategies to make passive students become more active during speaking class.In conclusion, some strategies that have been mentioned by the researcher are appropriate strategies that can be applied for teaching and learning process, espeialyy to improve passive students motivation and confidence in learning speaking.
Dissemination of information system technology in Nagari Pakandangan

Nagari is a region that has a very important role to encourage its people to innovate both in the economic and technological fields. Technology is available to facilitate various activities in daily life. Nagari is expected to be able to use technology to assist the community in managing information and data in the Nagari. Management and processing of data related to public services in a Nagari are very important. The data is valid information that must be updated regularly. Nagari Pakandangan is located in the Nagari Pakandangan, Enam Linkuang sub-district, Padang Pariaman district, West Sumatra province. In order to improve the quality of human resources in Nagari Pakandangan, a website-based information system was built that can accommodate data or information from the community in Nagari Pakandangan. This activity is carried out in three stages: a) identification of the problem which is carried out as a first step to determine the formulation of the problem that will be useful as a material for the design of the Nagari information system, b) the design of the Nagari information system, c) the development of the Nagari information system.
Strategy to Increase Knowledge and Awareness of Spring Management in Drawati Village through the SMAJA Program

The Campaka spring is one of the water sources used by the community in Drawati for consumption and agriculture. Since 2018, it has several problems: garbage which hinders irrigation and water quality decreases, the lack of awareness and knowledge of the local community and managers. Based on this background, the SMAJA program was initiated and implemented with the objectives of (1) increasing public awareness and knowledge through imah cai pancarama adopted from the house model; (2) Strategies and recommendations to sustainability of the SMAJA program. The method used is the kaizen method which consists of seiri, seiton, seiso, seiketsu and shitsuke. The collaboration of three techniques, namely counseling, training and mentoring. The number of target involved was 12 people but some activities could be attended by more than 40 people. The results are an increase in test scores of knowledge and concern. The value of knowledge from the original 2.00 to 3.70 on a scale of 1-5 and the value of concern for interests from 4.58 to 4.90 which was also measured from action from 2.50 to 3.80. The sustainability is formed in a quadruple helix.
Studi Komparasi Performa NGINX dan HAPROXY Sebagai Load Balancer di Cloud Menggunakan Teknologi Kontainer

High availability and scalability is a must have feature for server that owned by industrial sector. One concept that used by technology practitioner ishorizontal scaling. Horizontal scaling can be achieved by using load balancer. Even though those technology practitioner started to adopt containerization technology, those technology practitioner still using load balancer. The purpose of this research is to compare NGINX and HAPROXY performance as load balancer based on response time and error rate. Both NGINX and HAPROXY will run on docker that installed on various virtual machine type in both AWS and GCP. The result shows that based on writer’s configuration, NGINX could handle medium and heavy load better than HAPROXY. Another result shows that AWS could handle medium and heavy load better than GCP.
Degradasi Asam Humat Dengan Katalis TiO2/N Menggunakan Cahaya Matahari

Humic acid is a heterogeneous molecule of organic substance present in a peat water, which is carcinogenic is difficult to degrade. This study aims to degrade humic acid using the photocatalyst method is an environmentally friendly method. The photocatalyst used was TiO 2 doped Nitrogen 8%. This study used reactor mobile hexagonal with variations in stirring speed, namely 500, 1000 rpm, and without stir with an irradiation time of 1 to 3 hours. Result of degradation analyzed using UV-Vis spectrophotometer. The degradation results obtained using strirring have a higher percentage of degradation than without strirring. The maximum degradation percentage obtained in this study was 76,27% with 500 rpm strirrings at 2 hours irradiation.
Android-based Mail Management Information System in Desa Adat

Desa Adat is one of the traditional institutions in Bali. Based on a survey and interview in Desa Pakraman Sesetan gives proof that mail management and archiving are still done conventionally. This research’s purpose is to build a system that can increase mail management’s efficiency in Desa Adat. Android-based application allows its user to do mail management from anywhere and anytime with the phone-optimized user interface. System is developed using Flutter Framework on the front-end side and Laravel Framework on the back-end side. System testing is done by using the Blackbox Method and PSSUQ Method. System testing’s result using Blackbox Method gives the fact that the system’s functionality already runs well. System testing’s result using PSSUQ Method gives the fact that the system has been declared good.
Helpdesk Ticket Classification for Technician Assignment Routes Using BiLSTM

Fast problem-solving is one of the main keys to a company's reputation. Currently, most of the company's business processes are accommodated by applications. Often, applications in companies experience problems due to internal and external factors. Users send a request to solve problems by submitting the problem to the helpdesk tool or application. The requests at the helpdesk tool or application do not go directly to the technician who has the authority to solve them but instead go to the operator first and then escalate to the technician to be resolved. This process affects the efficiency of problem-solving time. This study proposes the use of text classification with deep learning to complete operator work. The method proposed in this study is the BiLSTM method. The total data used in this research is 160,000 helpdesk request data by dividing the data by 128,000 resolved data as training data and 32,000 on-progress data as testing data or 80% training data and 20% testing data. The research was conducted using 13 labels for the technician assignment route process Performance measurement of this study using a confusion matrix which obtained an accuracy 91.18%, precision 95.05%, and recall 93.28%
The Impact Of Iklanku Shopee Feature Through Brand Awareness On Purchase Decisions Using SEMPLS, Naive Bayes and K-NN Method

The purpose of this study was to examine the effect of my Shopee Advertising Feature on Purchase Decisions and Brand Awareness. Testing the effect of Brand Awareness on Purchase Decisions and analyzing the role of Brand Awareness in mediating the effect of my Ads feature on Purchase Decisions. This research is motivated by the phenomenon of inequality that occurs in economic conditions that are weakening due to COVID-19 but the purchase of fashion products has actually increased. Data obtained from the distribution of questionnaires is as much as 350 data. SmartPLS is used to find the outer model and inner model. The results of the data are reprocessed to determine clusters and classification using K-Means, Naive Bayes and K-NN in the RapidMiner application. The results obtained from this research are that my Advertisement Shopee feature has a positive and significant effect on Purchase Decisions and Brand Awareness. Brand awareness has a positive and significant effect on Purchase Decisions and Brand Awareness also mediates positively and significantly the influence of the My Shopee Advertising feature on Purchase Decisions. The results obtained from data mining processing are that the Naive Bayes algorithm is more accurate than the K-NN algorithm method in classification using split data and also cross validation.&#x0D; Keywords: Brand Awareness, Iklanku Shopee Feature, K-NN, Naive Bayes, PurchaseDecision
Handwritten Balinese Script Recognition on Palm Leaf Manuscript using Projection Profile and K-Nearest Neighbor

This paper presents a simple approach to the handwritten Balinese script characters recognition in palm-leaf lontar manuscripts. The Lontar manuscript is one of the cultural heritages found in Bali. Lontar manuscripts are written using a pengrupak, which is a kind of knife for writing on palm leaves. To give color to the results of the writing, candlenut is used so that the writing appears clear. In this paper, we apply the projection profile at the segmentation stage to get the handwritten Balinese script characters in the lontar manuscript. The palm leaf manuscript that we use is the Wariga Palalubangan palm leaf. The recognition process is carried out by implementing K-Nearest Neighbor in the recognition process. The recognition was made on the Wianjana script obtained from lontar manuscripts using 720 images consisting of 18 classes as dataset training. The test results showed that the level of recognition accuracy was obtained by 52% in the characters of handwritten Balinese scripts derived from lontar manuscripts and 92% in the characters of handwritten Balinese scripts on paper.
Implementation Enterprise Resource Planning Sales and Purchase of Goods Using WebERP Fushia Clothing Store Denpasar

The application of integrated information systems in business requires improvements related to system performance. A business can run well if every division in it is integrated with one another. One of the obstacles in this research is that the sales business process is still done manually, data storage on Ms. Excel, and between divisions one with other divisions have not been integrated. The technology proposed as a solution to these problems is Enterprise Resource Planning. This research was conducted by implementing the ERP model using WebERP which is used to assist the entire series of business processes at Fushia Stores. The research conducted focuses on three parts of the process, namely on the Sales, Purchase, and Inventory sections. The implemented implementation has met the needs of Fushia Stores with a system trial result of 71.66% or the equivalent of an agree index scale. The system implemented is able to improve and integrate all data so that data processing becomes more effective and efficient to use.&#x0D; Keywords: Business Process, Enterprise Resource Planning, Fushia Shop, Likert Scala, WebERP.
Implementation of a Supply chain Management System Blockchain-Based in Red Onion Farming

Red Onions are a horticultural commodity belonging to the spice vegetable group and an important role for economy of the Indonesian people. In red onion farming there have a problem of price fluctuations which result in an uneven and less transparent distribution of red onions yields, thus affecting both consumers and producers. To answer these problems, we designed a system to maintain and store red onion harvest data for farmers, collectors, distributors, and retailers in the form of a blockchain-based supply chain system. This system can maintain the validity of transactions in the supply chain of red onion farming with a private blockchain with Hyperledger Fabric. Then the data on the blockchain system will be displayed through the Hyperledger Explorer website. This system already passed the Black Box Testing system. From the research and testing of the system that has been made, this system can help the red onion farming to maintain the validity of transactions in the supply chain management.
Stepwise Development of Paraconsistent Processes

The development of more flexible and robust models for reasoning about systems in environments with potentially conflicting information is becoming more and more relevant in different contexts. In this direction, we recently introduced paraconsistent transition systems, i.e. transition systems whose transitions are tagged with a pair of weights, one standing for the degree of evidence that the transition exists, another weighting its potential non existence. Moreover, these structures were endowed with a modal logic [3] that was further formalised as an institution in [5]. This paper goes a step further, proposing an approach for the structured specification of paraconsistent transition processes, i.e. paraconsistent transition systems with initial states. The proposed approach is developed along the lines of [12], which introduced a complete methodology for (standard) reactive systems development building on the Sannella and Tarlecki stepwise implementation process. For this, we enrich the logic with dynamic modalities and hybrid features, and provide a pallet of constructors and abstractors to support the development process of paraconsistent processes along the entire design cycle.
Evaluation Of Online Learning And The Impact On Learning Achievement And Student Satisfaction

The Covid-19 pandemic has had a considerable impact on education systems throughout the world, including Indonesia. The education system must adapt, from an offline learning system to an online learning system. This results in the emergence of several impacts that affect the success and satisfaction of students. There are a number of challenges in implementing online learning in developing countries, both in terms of limited facilities and the readiness factor of human resources, both lecturers and students.. The purpose of this study was to determine the impact of the online learning system on learning success and student satisfaction. The data collection method used in this study is a survey research method. The population and samples taken were students of IBI Kesatuan, Faculty of Informatics and Tourism from semester one to semester five. Data processing and analysis methods were carried out quantitatively and descriptively. The results showed that the online learning system had a positive influence on student success in terms of the value obtained, however there were also twenty three percent of the respondents who felt that the cumulative achievement index received was relatively higher than the level of success of the knowledge gained. This shows the satisfaction obtained by students with the online learning system is relatively lower than that of the offline learning system.&#x0D; &#x0D; Keywords: offline learning, online learning, success, satisfaction
Research on seamless replacement of fusion templates for low-code applet site builders

The development of low-code applets is an important means for traditional enterprises to achieve their digital transformation. The low-code applets reduce the demand of clients for code development technology by providing them with a visual application development environment, and construct a digital operation mode to further accelerate the pace of enterprise refinement construction. This paper analyzed the development trend of seamless replacement of fusion templates for low-code applets, and used development technologies such as cascading style sheets (CSS) and JavaScript to implement the design of seamless replacement of templates. Based on the three-layer architecture of presentation layer, business logic layer and data access layer, as well as the “Model-View-Controller (MVC)” model, the author studied the seamless replacement of fusion templates for low-code applet site builders, and verified the builder functions through black-box testing, realizing the seamless replacement of templates.
Improving breast tumor segmentation via shape-wise prior-guided information on cone-beam breast CT images

Abstract Objective . Due to the blurry edges and uneven shape of breast tumors, breast tumor segmentation can be a challenging task. Recently, deep convolution networks based approaches achieve satisfying segmentation results. However, the learned shape information of breast tumors might be lost owing to the successive convolution and down-sampling operations, resulting in limited performance. Approach . To this end, we propose a novel shape-guided segmentation (SGS) framework that guides the segmentation networks to be shape-sensitive to breast tumors by prior shape information. Different from usual segmentation networks, we guide the networks to model shape-shared representation with the assumption that shape information of breast tumors can be shared among samples. Specifically, on the one hand, we propose a shape guiding block (SGB) to provide shape guidance through a superpixel pooling-unpooling operation and attention mechanism. On the other hand, we further introduce a shared classification layer (SCL) to avoid feature inconsistency and additional computational costs. As a result, the proposed SGB and SCL can be effortlessly incorporated into mainstream segmentation networks (e.g. UNet) to compose the SGS, facilitating compact shape-friendly representation learning. Main results . Experiments conducted on a private dataset and a public dataset demonstrate the effectiveness of the SGS compared to other advanced methods. Significance . We propose a united framework to encourage existing segmentation networks to improve breast tumor segmentation by prior shape information. The source code will be made available at https://github.com/TxLin7/Shape-Seg .
KONSELING BEHAVIORISTIK DENGAN TEKNIK BEHAVIOR CONTRACT UNTUK MENINGKATKAN LITERASI MEMBACA PADA SISWA MTS SABILUL ULUM

The purpose of this research is to describe the factors that cause a lack of reading literacy at MTs Sabilul Ulum Mayong and help students become better reading literacy through behavioristic counseling using the behavior contract technique. The type of research used is case study research. The subjects of this study were students at MTs Sabilul Ulum Mayong who lacked literacy, including only being absent during online learning, being late in submitting assignments, not paying attention to the teacher during lessons, and so on. The data analysis used is inductive qualitative data analysis consisting of data reduction, presentation and conclusion. The results showed that the students of MTs Sabilul Ulum Mayong experienced an increase in their reading ability after receiving behavioral instructions using the behavioral contract technique.This can be seen from the behavior of the two counselees who are starting to be able to take part in online learning well, submit assignments on time, and pay attention to the teacher during learning. Thus it can be concluded that the lack of reading literacy in MTs Sabilul Ulum Mayong students can be improved through behavioristic counseling with the behavior contract technique
Text Translation for Indian Languages

To displays a language translation model using LSTM for Indian languages. Since in India we have various languages it is essential to remove the language barrier, so that many people can communication in an effective manner. The model uses an encoder-decoder architecture and is trained on a large dataset of parallel texts. The accuracy of the model is evaluated using common metrics, and the results show that the model is effective in translating text between Indian languages. The study demonstrates the effectiveness of LSTM can be utilized to create more successful language translation models for this language group for Indian languages.
Vulnerability of Face Morphing Attacks: A Case Study on Lookalike and Identical Twins

Face morphing attacks have emerged as a potential threat, particularly in automatic border control scenarios. Morphing attacks permit more than one individual to use travel documents that can be used to cross borders using automatic border control gates. The potential for morphing attacks depends on the selection of data subjects (accomplice and malicious actors). This work investigates lookalike and identical twins as the source of face morphing generation. We present a systematic study on benchmarking the vulnerability of Face Recognition Systems (FRS) to lookalike and identical twin morphing images. Therefore, we constructed new face morphing datasets using 16 pairs of identical twin and lookalike data subjects. Morphing images from lookalike and identical twins are generated using a landmark-based method. Extensive experiments are carried out to benchmark the attack potential of lookalike and identical twins. Furthermore, experiments are designed to provide insights into the impact of vulnerability with normal face morphing compared with lookalike and identical twin face morphing.
Research on Visualization of Multi-Source Heterogeneous Data Based on Statistical Maps and Knowledge Graph

With the development of data collection and big data storage more and more data are collected and stored, the purpose of data collection and storage is to use data. However, facing the original data information it is difficult for people to find the relationship between data and data and its change trend. Because of this problem, this paper focuses on the research of several kinds of Chinese multi-source heterogeneous complex data and analyses three aspects: multidimensional data presentation, geographic data presentation, and text data. We propose a visual presentation method based on user interaction and dimension recognition using statistical maps, tag cloud and knowledge graph and the method is systematically implemented.