Reviewerly/exHarmony huggingface dataset:
Perancangan Sistem Informasi Akuntansi Penjualan Berbasis Web Pada Saiioproject Jambi

SAIIOPROJECT Jambi is one of the businesses engaged in the sale of goods and services in the world of photography. Management in the sale of goods and services in this business is still done manually so that the performance in the process of selling goods is still not optimal. In order for optimal management to use a sales information system. This research was conducted in the sales of goods, this information system uses the calculation of COGS (Cost of Goods Sold). The approach method used by the author is data collection, interviews, observation and reference studies and designing a system based on the results of the research conducted. The development of this sales information system uses a waterfall model and the data flow model used is DFD (Data Flow Diagram). Programming language using PHP, Notepad ++ and HTML. This research produces a sales information system that can be implemented in the SAIIOPROJECT Jambi business
Perancangan Sistem Informasi Akuntansi Penjualan Berbasis Web Pada Ahza Cake Dan Bakery

Ahza Cake and Bakery is a small culinary business that sells foods such as donuts, pizza, brownies and other foods. This company still uses manual sales and the marketing reach is still to small. The purpose of this research is to design a web-based sales accounting system. The method of data collection is done by interview, observation and literature study. The data analysis technique uses waterfall development. Programming language using PHP and database using MySQL, and system design using Data Flow Diagrams (DFD). The result of this research is that there is a system currently being developed which is useful for reducing errors in recording sales and the wider marketing reach because the system is designed to display the results of sales records so that they are monitored more quickly, accurately and in detail.&#x0D;
Implementasi Mobile Commerce Pada Poljamshop

Poljamshop is an information system that is used to market products at the Jambi Polytechnic and also collaborating partners.Currently there are only sales through the website and few visitors because they are not known to the public, so sales are stillpersonal through mouth to mouth promotions or social media promotions. With this, e-commerce to help Poljamshop increasecustomer satisfaction to choose or order a product at Poljamshop. This application is made by developing a system using the waterfall method, the tools used to describe the model of this application system are Context Diagrams, Data Flow Diagrams&#x0D; (DFD) and Entity Relationship Diagrams (ERD). The purpose of this final project is to create a mobile commerce on Poljamshop
Pengembangan Sistem Informasi Masjid Darul Arham Menggunakan Metode V-Model dan UAT (User Acceptance Testing)

Darul Arham Mosque is a mosque located in Kunir Hamlet, Singojuruh Village, Singojuruh District, Banyuwangi. Darul Arham Mosque does not yet have an information system in managing data related to mosques. The amount of information and activities at the Darul Arham Mosque, the mosqueâ€™s financial management has not yet been organized, the mosqueâ€™s data processing is still done manally, making it dificult for mosque administrators to process and convey the contens of the data. To solve this problem, a management system is needed that can be accessed easily , anytime and anywhere by mosque administrators and provides detailed information abaout the Darul Arham Mosque. In this study the authors use the v-model methode and user acceptance testing. It is hoped that this information system can assist mosque administrators un managing data related to the Darul Arham Mosque, as well as assisting the public in finding mosque information through existing website-based information systems
KLASIFIKASI TIPE BERAT TUBUH MENGGUNAKAN METODE SUPPORT VECTOR MACHINE

Abstract—The news of the death of a man in Indonesia is in the public spotlight because doctors have difficulty treating his illness because being overweight or obese causes the organs in the body to fail to function properly. Overweight causes the body to experience several health problems, including heart defects, diabetes, and several other diseases that can attack vital organs in the body. According to data on deaths caused by obesity, there are as many as 60 per 100,000 Indonesian population, and are a very feared killer. Faster handling of recognizing our body weight is important for each individual’s health. Classification can also help overweight in a person known more quickly. In this study, the classification algorithm that will be used is the Support vector machine (SVM). With 252 data, this study will use the SVM algorithm and look for the level of accuracy of the two classification classes, namely normal and overweight. This study produces an accuracy rate of 92.11% with a ROC curve value of 0.990 which means that the classification in this study is very good.
KOMPARASI FUNGSI AKTIVASI NEURAL NETWORK PADA DATA TIME SERIES

Abstract— The sophistication and success of machine learning in solving problems in various fields of artificial intelligence cannot be separated from the neural networks that form the basis of its algorithms. Meanwhile, the essence of a neural network lies in its activation function. However because so many activation function which are merged lately, it’s needed to search for proper activation function according to the model and it’s dataset used. In this study, the activation functions commonly used in machine learning models will be tested, namely; ReLU, GELU and SELU, for time series data in the form of stock prices. These activation functions are implemented in python and use the TensorFlow library, as well as a model developed based on the Convolutional Neural Network (CNN). From the results of this implementation, the results obtained with the CNN model, that the GELU activation function for time series data has the smallest loss value
PENENTUAN KELAYAKAN BANGUNAN CAGAR BUDAYA MENGGUNAKAN METODE SIMPLE MULTI ATTRIBUTE RATING TECHNIQUE (SMART)

Abstract— Nowadays, awareness of the importance of cultural heritage is decreasing among the public, especially among youth who will become leaders and inherit the culture of their region. Law Number 11 of 2010 stipulates the importance of protecting and preserving cultural heritage because it has significant value in history, science, education, religion and culture. Therefore, the existence of cultural heritage must be considered and maintained properly according to applicable regulations. There are several criteria for assessing buildings that will be used as cultural heritage according to Law number 11 of 2010 in Chapter III, article 5, cultural heritage criteria, namely the age of the building, historical value, cultural value and architectural value. This study aims to create a system that can determine the feasibility of a building as a cultural heritage in a precise and accurate way (case study DISPORAPARBUD Purwakarta). In this study, the Simple Multi Attribute Rating Technique (SMART) method was used in the Decision Support System (SPK). The results of this study are to produce recommendations for buildings that are worthy of being cultural heritage in accordance with predetermined criteria, namely the Normal School building with a value of 1 by occupying the first rank, which will then be recommended to the Purwakarta DISPORAPARBUD
SISTEM PAKAR DIAGNOSA PENYAKIT PADA DOMBA DENGAN MENGGUNAKAN METODE FUZZY MAMDANI

Abstract—The decreasing sheep population has raised serious concerns regarding its impact on both the livestock industry and export opportunities. One of the main factors contributing to this decline is the prevalence of diseases among sheep. These illnesses present a significant problem as they can lead to reduced meat production, animal fatalities, and economic losses. The limited knowledge among farmers regarding these diseases and sheep care makes it challenging to diagnose and treat the conditions effectively. To address this issue and aid farmers in easily diagnosing diseases, a web-based expert system utilizing the fuzzy Mamdani method was developed. The selection of the fuzzy Mamdani method was based on its ability to handle uncertainty in disease diagnosis, providing reasonably accurate results by evaluating symptoms, determining disease severity, and recommending appropriate treatments. Through the fuzzy Mamdani method and the web-based platform, this system offers convenient access for farmers to diagnose diseases in their sheep online. According to the analysis results, reproductive health disorders are the primary cause of the decline in the sheep population. Consequently, the expert system for diagnosing sheep diseases serves as an alternative for early prevention and suitable treatment. System testing indicates an accuracy rate of 80%, signifying the system's capability to provide reasonably accurate diagnoses. The main goal of this research is to support the livestock and fisheries department in Purwakarta in diagnosing sheep diseases, preventing epidemic outbreaks, and implementing proper measures to mitigate the negative impacts on the livestock industry while promoting sustainable growth of the sheep population
METODE VECTOR SPACE MODEL UNTUK WEB SCRAPING PADA WEBSITE FREELANCE

Abstract— In digitalization era, internet is at the center of all lines of community activity, just like the field of work. Currently, many platforms provide job vacancies, especially for freelancers. To obtain this information, users usually need to open several websites to find information about suitable job vacancies. Web scraping offers solution to overcome these problems. Based on research that has been done, the BeautifulSoup and Selenium libraries will be used to collect data. To search for data, vector space model method is used to find the level of data similarity between the query and the document. In exploring data, the average near-perfect recall value is 98%, while the average precision value is 56%. This is because data search uses three parameters, so the possibility of retrieving irrelevant data is more significant if the document contains a word in the user's query, even though the context does not match. Utilizing the Streamlit framework in Python can display the data processing results and help users navigate the web scraping process, data processing, and data search. This study aims to implement the web scraping method to retrieve data from freelance websites: Freelance, Project, and Sribulancer. By applying the vector space model method, users can search data from several websites without opening freelance websites one by one. Using data visualization in the form of a web application using the Streamlit framework, the web scraping results can also be processed to be presented in a more helpful form and save the user's time
Lower Rounds Lattice-based Anonymous AKA under the seCK model for the IoT

Abstract The authenticated key agreement (AKA) method used in the Internet of Things (IoT) provides identity authentication and agreed symmetric keys to encrypt large amounts of communication messages for devices and servers. With the development of the quantum computing techniques and corresponding algroithms, classical authenticated key agreement methods based on public key, such as RSA and ECC become vulnerable. Many scholars have proposed lattice-based authenticated key agreement schemes to achieve post-quantum security and address this issue. However, these scheme's security models (such as BR, CK, and ROR) only can capture limited types of adversary attacks and require many communication rounds. To this end, we propose a lower communication rounds lattice-based anonymous authenticated key agreement (LA-AKA) protocol under the seCK model, which can capture a wider range of adversary attacks. The LA-AKA scheme utilizes an identity-based public key system for key agreement, and this system avoids complex resource consumption caused by certificate verification. During the identity authentication and key agreement phase, the communication entities do not need to transmit static public keys; they only need to engage in two communication rounds to generate the session key. Furthermore, the LA-AKA scheme can resist signal leakage attacks caused by key reuse in the ring learning with errors (RLWE) security assumption. The LA-AKA scheme provides higher security, as security analysis proves. The performance evaluation shows that as the number of devices and servers in the system increases, the computational advantage of the LA-AKA scheme in the broadcast channel becomes more significant.
OPTIMASI NAIVE BAYES BERBASIS PSO UNTUK ANALISA SENTIMEN PERKEMBANGAN ARTIFICIAL INTELLIGENCE DI TWITTER

At present the development of Artificial Intelligence technology is progressing rapidly. There are many new artificial intelligence technologies available in various fields. Artificial Intelligence is an artificial intelligence program that can study data, perform processes of thinking and acting like humans. The presence of Artificial Intelligence technology has many positive impacts, especially in increasing work effectiveness and efficiency. However, AI is also a threat to human resources because slowly human work is being replaced by Artificial Intelligence. Various opinions about the development of Artificial Intelligence are widely discussed on social media such as Twitter. Sentiment analysis is a computational study to automatically categorize opinions into positive or negative categories. In this study, the Naive Bayes algorithm was used to analyze sentiment or public opinion regarding the development of Artificial Intelligence for Twitter users. The data collection method used is crawling data on Twitter. The results of the sentiment classification test for the development of Artificial Intelligence using Naive Bayes yield an accuracy value of 86.42%. Meanwhile, the results of the sentiment classification test using Naive Bayes based on Particle Swarm Optimization (PSO) increased with an accuracy value of 87.55%. Based on the results of this study, the use of PSO as an optimization technique for the Naive Bayes algorithm is proven to be the best algorithm model in sentiment analysis for the development of Artificial Intelligence for English text.
MODEL RAPID APPLICATION DEVELOPMENT UNTUK RANCANG BANGUN SISTEM PENGELOLAAN TRANSAKSI PERDAGANGAN INDOSURRATI SUKSES MAKMUR

The problem of manual recording is one of the problems that is often experienced by small and medium-scale businesses such as MSMEs, this occurs along with the increasing quantity of transactions, a large number of items of goods, and the growth and development of businesses, including PT. Surrati Sukses Makmur is engaged in the retail sale of perfume products. This problem can have negative impacts, such as difficulties in monitoring stock so that discrepancies easily occur, transactions not recorded so that data is lost, preparation of reports taking more time, fraud, and the need for a place to store documents. To overcome this problem, it is necessary to analyze and design a digital-based sales information system that can help the process of recording sales to be more efficient, accurate, safe, and easy. By using a digital information system, there is no need for a special place for document storage, loss of transaction data can be minimized so that it has an impact, PT. Surrati Sukses Makmur can improve performance and quality of service to customers, as well as operational costs can be reduced and inventory management can be easier. The design of this system uses the Rapid application Development (RAD) model with the aim that applications can be completed immediately and reduce the cost of making application systems so that reports can be made in a comprehensive and effective and efficient manner, , as well as with the black-box testing method in testing the application can be used more effectively and efficiently, and as a whole is in accordance with system requirements
PROTOTYPE SISTEM PENDAFTARAN RAWAT JALAN PADA RSUD LARANTUKA NUSA TENGGARA TIMUR BERBASIS MOBILE

Abstract—The role of the hospital is very helpful in efforts to improve the quality of public health, for this reason the need for fast and appropriate services so that human resources are maintained for their survival. At dr. Hospital Hendrikus Fernandez Larantuka East Nusa Tenggara, the registration service still uses the intranet system or local network and system errors often occur so that the patient registration process is hampered. In addition, the system created on the intranet network also has drawbacks, one of which is that it can only be accessed by people who are connected to the building's network. With these problems, there is a need for a mobile-based application that can be accessed directly by the public in real time from anywhere and any time. The purpose of this study is to create a mobile-based application design that is capable of processing inpatient registration services at hospitals with an attractive and user-friendly appearance. The method used in this study is the prototyping method. This method is a software development model by creating a prototype or model to provide an overview to the user by going through 5 stages, namely communications, quick plan, quick design model, prototype construct, and development delivery and feedback. The tool used in making this prototype is the Figma application. The results of this study are that there is an application prototype that can be used as reference material for RSUD dr. Hendrikus Fernandez Larantuka, East Nusa Tenggara, in developing his system so that the inpatient registration process can be carried out by the community anytime and anywhere. Likewise, information from the hospital can be received in real time by the public through the mobile-based hospital inpatient application.
A Microcontroller-based RFID Record Tracker for COVID-19 Pandemic

Covid-19, also known as coronavirus disease 2019, is a highly contagious disease primarily transmitted through respiratory droplets. To mitigate the spread of the virus, the Malaysia government have implemented measures such as MySejahtera app for contact tracking purposes. The ‘Check-in’ feature is the core element in MySejahtera app where users will scan a QR code prior to entering a premise. However, it has some drawbacks in which a phone with internet connectivity and working camera are needed to scan the QR code. To overcome the limitations and ease the burden on the public, this paper proposes a RFID record tracker based on Atmel ATmega328P and NodeMCU ESP-12E technology as a complementary function to the ‘Check-in’ feature offered by MySejahtera. It has a RFID reader and built-in temperature sensor. It is ideally visualized to be sharing the same database with MySejahtera. This solution can be connected to the WiFi of the premise, thus the public just have to bring their Malaysian IC or relative RFID tag along with them. Once scanned, the system will crosscheck with the connected database to check their vaccination status and determine whether to grant access for them to enter the premise. At the same time, their record will be logged into associated database of the premise as well. All in all, this solution is designed in hopes to reduce the burden on public while easing the process of contact tracing.
Hamacher Operations on Picture Fuzzy Matrices

In this article, Hamacher operations of Picture Fuzzy Matrices are proposed, which are direct extensions of Hamacher operations of Intuitionistic Fuzzy Matrices. By using these operations scalar multiplication and exponentiation operations are constructed for a picture fuzzy matrix and certain new relations are established
Observational Studies of Learners’ Impulse on Literacy and the Covid-19 Pandemic in the Changing World

This study investigated observational studies of learners’ impulses on the COVID-19 Pandemic and literacy in the changing world. The study adopted an observational research procedure of controlled observation methodology. Step one involves the researchers’ appearance in the classroom, seated with the students as teaching was going on in the classroom while the teachers were teaching and the researchers were observing and taking rigorous notes. The researchers were coding the data collected after the observation. The second step involved researchers’ observations on controlling the participants, location, study time, and other circumstances surrounding the research. The researchers ask questions, create codes and write a detailed report which classifies learners’ impulses into different categories. Participants were 240 students and four teachers teaching Basic Science and Mathematics in Junior Secondary class two (JSSII) which were randomly selected across the four Local Government areas in Ekiti States, Nigeria. The reliability was determined using the results of observation obtained by the co-researchers and this yielded a correlation coefficient of 0.75 at a 0,05 level of significance. The researchers analyzed using descriptive Analysis of frequent count and percentage of the observational learning impulses of students. Findings revealed that students have a positive learning impulse towards learning Basic Science and Mathematics during COVID-19 Pandemic and that the majority of the teachers treated the knowledge contents effectively despite the COVID-19 outbreak. The study also showed that systems adopted by the teachers contributed to the literacy level of students in a positive way. It was recommended that the learner’s impulse be maintained with good mastery of the subject matter regardless of environmental conditions. Teachers should always be ready to impact knowledge with effective teaching in the classroom. The planning strategy adopted by the teacher should determine the success acquired by students in the teaching and learning processes. It was also recommended that students should endeavour to work examples and perform better in the task assigned to them independently. Teachers should exhibit positive learning impulses towards teaching that can influence students learning impulses.
Implementasi Protokol Keamanan Dan Segmentasi Jaringan Dalam Project Pembangunan WLAN Untuk PT Pan Pacific Insurance

Security of data and network devices is essential in the development of a computer network, either in the creation of new computer networks or in the development of existing computer networks. PT. Pan Pacific Insurance as a company that holds large amounts of data along with its supporting computer network's infrastructure, focuses on security aspects in addition to performance aspects in its computer network. To get the flexibility of its computer network, the company developed a wireless local area network (WLAN) in line with the relocation of its head office. The Existing company's network needs to be improved with a WLAN network, so it does not only improve employee performance and provides the best security for company data. For those purposes, the authors applied the use of Cisco Wireless LAN Controller (WLC), Cisco Access Point and applied the WPA+WPA2 PSK security protocol for the SSID used by employees. Using this protocol when employees want to connect to the network wireless, they will be forced to type the password that has been set. In addition to implementing the security protocol, the author also applies the Web Policy Authentication security protocol for the SSID used by guests. So that guests who want to connect to a wireless network will be directed to a web browser to be asked to enter a username and password first. A series of security protocols, also added with network segmentation on each SSID to use a different network address. Thus, the essence of network security and performance is expected to increase. From the results of the tests carried out, obtained security guarantees on the PT. Pan Pacific Insurance successfully directs every user connected to the network as part of the security protocol implemented. Furthermore, with network segmentation, user traffic is more controlled because guests get their network segmentation, so they don't interfere with network traffic for users or company staff in company operations.