Reviewerly/exHarmony huggingface dataset:
CRYPTOGRAPHIC PROTOCOL SECURITY IN NATIONAL ENCRYPTION APPLICATIONS

In the era of digital transformation, information exchange, especially confidential and strategic information has become the most vital aspect for almost all organizations. Various bad precedents regarding classified and strategic information leaks in Indonesia have become a slap in the face that must be acknowledge and answered with effective solutions. In 2020, XYZ Agency developed a file encryption application (ABC Application) to address the challenge of securing confidential information, especially those transmitted on electronic channels. Until 2022, the ABC Application has been implemented in a limited scope and its implementation is planned to be expanded nationally. After 2 years of operation, the XYZ Agency has conducted a study on the security of the algorithm used in ABC Application, but unfortunately has not conducted an in-depth study regarding the security of the protocol suite used in the Application. In this research, a security analysis of ABC application protocol suites, namely the registration protocol, user verification, key generation, and key request for the encryption-decryption process protocol was conducted through formal verification approach using the Scyther Tool. The analysis focuses on aspects of guaranteeing confidentiality of information and authentication with four criteria, namely secrecy, aliveness, synchronization, and agreement. The experimental results showed that these protocols meet the security criteria for the transmitted confidential information but have general weaknesses in the authentication aspect, especially for synchronization and agreement criteria. Based on these weaknesses, technical recommendations are proposed that are able to overcome the identified weaknesses.
HYBRIDIZATION OF THE NAIVE BAYES CLASSIFICATION METHOD IN THE FRESHWATER FISH SEED SELLER CLASSIFICATION MODEL

Freshwater fish seed sellers play several roles in the supply chain process in the freshwater fish farming business. The role of the seller of freshwater fish seeds in this process is to distribute fish seeds which are one of the upstream sources in the supply chain process. Freshwater fish cultivators must select competent freshwater fish seed sellers so the supply chain process can run well. A large number of freshwater fish seed sellers in the market remind freshwater fish cultivators to choose the quality of the freshwater fish seed seller in terms of seed quality, low prices, shipping that can reach many areas, ergonomic packaging, and others. This study proposes Hybrid Naïve Bayes Classifiers (HNBCs) as a machine learning method for classification. This study aimed to compare the seed seller classification method in which the appropriate pattern of seed seller was identified by hybridization of Naïve Bayes Classifiers (NBCs), and then the researchers conducted performance appraisal and evaluation. The results are beneficial for freshwater fish cultivators and researchers which will enable them to formulate their plans according to the predicted results. The proposed method has produced significant results by achieving a training data accuracy of 82.61% and the testing data accuracy of 73.91%.
IMPLEMENTATION OF ARTIFICIAL NEURAL NETWORK WITH BACKPROPAGATION ALGORITHM FOR RATING CLASSIFICATION ON SALES OF BLACKMORES IN TOKOPEDIA

The rating assessment classification contains feedback from consumers, which is given in the form of stars which aims to assess a product. However, the amount of data in the classification process often have differences in each class or is called an imbalanced dataset. These problems can affect the classification results. An imbalanced dataset can be overcome by applying random oversampling. To classify the rating assessment, this study proposes the Neural network method, which has a good accuracy level with the backpropagation algorithm and applies random oversampling to overcome the unbalanced amount of data. The results indicate that the neural network method with the backpropagation algorithm can classify the available data with an accuracy level of 85%. The application of resampling data using random oversampling and determining the amount of distribution of training data, testing data, number of epochs and the correct number of batch sizes affect the results obtained.
BUSINESS PROCESS REENGINEERING SUPPLY CHAIN MANAGEMENT SYSTEM BASED BLOCKCHAIN USING BPR LC

The agricultural sector in Indonesia is a superior sector compared to other sectors. The red onion commodity in Indonesia has the highest household consumption rate. Nowadays, technological developments are widely used to support existing agriculture to get maximum results. One of the technologies that can be used in agriculture is blockchain. The application of blockchain has gained importance in information systems and information technology research in the agricultural sector. However, in Indonesia, precisely in Central Java, there is no red onion supply chain management that uses blockchain technology for data storage, data security and data transparency. The author has a goal to re-engineer to overcome these problems by implementing blockchain technology using the Hyperledger Fabric and modeling business processes with Business Process Modeling Notation (BPMN). This research uses the Business Process Re-Engineering Life Cycle method in which this research produces red onion supply chain management with a new business process that is described by Business Process Modeling Notation (BPMN) and produces blockchain applications with various features and testing has been carried out using the Black box testing method with the result that existing features can run well without problems and the web application is running according to user needs to support supply chain management deficiencies so that they become more optimal and transparent in data storage.
WEB-BASED INFORMATION SYSTEM DESIGN OF INVENTORY AND COVID-19 VACCINE DISTRIBUTION IN BANYUMAS REGENCY

This research derived from inventory management and distribution of the COVID-19 vaccine which is still done manually at the Banyumas Regency Department of Health. The big amount of data that needed to be processed made it difficult for officers to organize the data, as a result there are several problems such as missing and damaged data. This system could make health facilities registered under the Banyumas Regency Department of Health to see the stock items and request the goods faster and easier. The built system has made data management more efficient and effective. Web-based Information System Design of Inventory And COVID-19 Vaccine Distribution In Banyumas Regency uses a waterfall model and qualitative methods. The waterfall model is used to facilitate the creation of this system because it has clear and sequential stages, the qualitative methods used in this study include observation, interviews, and literature studies. The system used PHP and HTML as the programming languages which are then supported by MySQL as the database. The tests carried out to test the system are Black Box Testing and Mean Opinion Score Testing. This research produces a system that can carry out the process of managing and processing inventory data and distribution, the test results show that the system runs as expected and succeeds in facilitating user work to be faster, more effective, and efficient.
DESIGN AND DEVELOPMENT OF ANDROID-BASED TRADITIONAL INDONESIAN CLOTHING IMAGE GUESSING GAME

In terms of cultural traditions, Indonesia is home to a wide variety of very diverse practices. As a result of different regions of the country, Indonesia is home to diverse cultural traditions. Traditional clothing is an important aspect of the Indonesian culture. The traditions and culture of each region are reflected in the clothes worn at traditional ceremonies; in addition, traditional clothing is a decisive feature of the culture of each region. Concern for the maintenance of national culture, which relates to the wearing of indigenous clothing, has been significantly reduced because of the passage of time. For example, one of the main reasons why people's interest in traditional clothing is not as strong as it used to be is because there is not enough socialization and presentation of Indonesian culture in society. The goal of this study project is to create a learning app for Android based on the guesswork of traditional Indonesian clothing. Research and Development techniques were selected as the proximity used for this investigation. Research and Development As a consequence of this research, an educational game that allows users to predict photos of traditional clothing from Indonesia will be produced on the Android platform. This game will also provide information to players about traditional musical instruments that can be found in Indonesia. It is hoped that educational video games will help in the process of exposing children to pre-existing cultures, and such games can also be seen as offering new perspectives to children. It is possible to draw the conclusion, based on the findings of tests conducted using the black box approach, that this application is capable of functioning in an appropriate way. Moreover, it can provide android smartphone customers with instructional games.&#x0D;
ANALYSIS OF APPLICATION HAAR CASCADE CLASSIFIER AND LOCAL BINARY PATTERN HISTOGRAM ALGORITHM IN RECOGNIZING FACES WITH REAL-TIME GRAYSCALE IMAGES USING OPENCV

Face detection and recognition systems have been developed with the various application of algorithms. Based on the literature study that has been carried out, the researcher will analyze the performance between the HCC (Haar Cascade Classifier) ​​and LBPH (Local Binary Pattern Histogram) Algorithms with real-time grayscale images using the OpenCV library. The test is carried out based on a sample of facial images with external conditions in the form of lighting conditions which are divided into morning, afternoon, and evening, as well as varying face rotation angles. Parameters observed were accuracy values, FAR (False Acceptance Rate), and FRR (False Rejection Rate). Based on the results of the tests that have been carried out, the average value of accuracy is 56%, while the average value of FAR is 22% and FRR is 23%. Judging from the average accuracy value obtained is 56%, then to be able to be detected and recognized properly the face position must be in frontal condition and with normal lighting. Thus, the final results of this study can be considered for other researchers who want to use a similar algorithm to develop a detection and recognition system.
IMPLEMENTATION OF FUZZY TSUKAMOTO LOGIC TO DETERMINE THE NUMBER OF SEEDS KOI FISH IN THE SUKAMANAH CIANJUR FARMER`S GROUP

One of the innovation programs of the Sukamanah Village Karangtengah Cianjur farmer group is in the field of fisheries. One of the programs carried out is the nursery for ornamental Koi fish. Nursery of Koi fish is done because the market demand for Koi fish is high, but there are still very few Koi fish providers. However, farmer groups are currently unable to determine the number of seeds that must be provided to meet market needs to obtain maximum profit. To overcome this, a system is required that can calculate the number of seeds needed based on fish supply and market demand. Fuzzy logic can help humans make decisions; besides, fuzzy logic is an appropriate way to map an input space into an output space. This research aims to build an application using fuzzy logic to determine the number of seeds needed based on the amount of supply and market demand for Koi fish. The data used is sourced from the Sukamanah Farmer’s group, Cianjur. The results showed that using fuzzy logic succeeded in predicting the number of koi fish seeds that must be provided with an accuracy rate of 94,78% using the MAPE method.
ANALYSIS OF BRUTE FORCE ATTACK LOGS TOWARD NGINX WEB SERVER ON DASHBOARD IMPROVED LOG LOGGING SYSTEM USING FORENSIC INVESTIGATION METHOD

Since it was first launched in 1990, the Web Server is still in use today. No exception, almost all companies entering industry 4.0 use Web Servers to show the existence of the company's website and its products. Starting from the websites provided for free by WordPress and Blogspot to independent websites created by their respective companies. The web server itself is available in several types, ranging from apache, nginx, litespeed, etc. Of course, the use of a Web Server for websites cannot be separated from internet crimes or cyber crimes. One of the crimes committed is the hacker's attempt to login to the website Administrator page. The loophole used by hackers is brute force or forced entry by trying every combination of existing Administrator User and Password. This research focuses on building and updating a website monitoring dashboard system with Wazuh technology. The method used in this study is the Quantitative Forensic Investigation Method by examining the logs generated by the System Dashboard using Digital Forensic procedures. This monitoring process aims to detect brute force threats on managed websites by showing the website Administrator login activity log. The results of the metadata log shown by the optimized dashboard show the number of brute force attacks on managed websites. The number of attacks recorded was 259646 attacks on the first cluster and 288676 attacks on the second cluster. In addition, the results of the metadata log can be investigated further to find the location of the Hacker. The location of the hackers found was only limited to the VPN (Virtual Private Network) server used. One of the VPN servers used in this case is Amazon Data Center.
STEEL BOX GIRDER BRIDGE COMPONENT TRACEABILITY SYSTEM USING TREE STRUCTURE DIAGRAM AT PT BUKAKA TEKNIK UTAMA

The International Organization for Standardization (ISO) through ISO 9001:2015requires every product to have product traceability. In response to these challenges, PT Bukaka Teknik Utama developes the Traceability System in the Steel Box Girder Bridge products. Traceability System built by adopting Tree Structure Diagram Concept to describe production system process currently runs. The production process start from identify raw material, cutting process, sub-assembly process, and assembly process. This concept is then translated into Relational Database by applying Parent-Child Concept. The result of this Traceability System is the system able to issue a list of product traceability including raw material information, sub-contractor/employee who work on them, etc, quickly and accurately. System testing was carried out using the black box method, where of the 37 items tested all functioned properly. Tests were also carried out to determine the accuracy and speed of the system compared to the manual method. Of the 10 tests carried out, the system traceability is exactly the same as the manual method with an average processing time of 3 seconds, compared to the manual method, which is 97.6 seconds.
IMPLEMENTATION OF THE EDAS METHOD TO DETERMINE YOUTUBE CONTENT WORTH WATCHING FOR CHILDREN’S

Youtube is a platform for watching and sharing videos. Even today, Youtube allows a lot of information that is inappropriate for children to see and watch. This is due to the large number of videos containing violence, sex, or other inappropriate content that are dangerous to watch by children who don’t know the difference between good and bad. This situation can cause anxiety and panic in parents because they are not able to continuously supervise their children. The decision support system is a system that can help someone in making a decision. With the decision support system, it is hoped that it can help parents monitor their children’s Youtube viewing. Data analysis was carried out using the EDAS method by comparing Youtube content with one another based on six criteria, namely not containing violence, not containing harsh words, not containing pornographic elements, educating, entertaining, and creative. The EDAS method is a selection method based on the normalized values of the weights and the distance between positive and negative solutions. Of the 15 Youtube content, there are 5 recommended Youtube content to watch. The 5 Youtube content with the highest rankings are Cocomelon (0.189), Upin &amp; Ipin (0.150), Hey Tayo and Pada Zaman Dahulu Kala (0.101), and Nussa Official (0.063)
LANDSLIDE HAZARD MAPPING USING THE SCORE AND WEIGHT METHOD IN BANJARNEGARA

Banjarnegara has a category of high or very vulnerable landslide susceptibility, according to data from the National Disaster Management Agency from 2006 to 2021, there has always been at least 1 landslide disaster in Banjarnegara. As a step in disaster reduction in Banjarnegara, a landslide hazard analysis was carried out. The methodology used is scoring and weighting using 4 indicators of rainfall, geology, land use, and slope. Landslide susceptibility is measured by calculating the total score which is then categorized based on the total score. The landslide susceptibility category is divided into 4 categories, namely Very Low, Low, Medium, and High. Areas with high vulnerability category have a proportion of 0.06% with an area of 682,073 m2, Medium has a proportion of 55.51% with an area of 625,539,155 m2, and Low has a proportion of 44.43% with an area of 500,730,369 m2. The results of the landslide hazard map can then be used as a reference for the Regional Disaster Management Agency to reduce the risk of landslide vulnerability.
The impact of the Serasi program on increasing production and revenue of swamp pad farmers

The SERASI (Save Rawa Prosperous Farmers) program is an effort to increase the planting index and productivity through land optimization activities that are integrated with efforts to improve the standard of living of farmers through assistance in developing irrigation systems in swamplands. This study aims to: (1) Describe the implementation of the SERASI Program, (2) Describe the benefits obtained by farmers receiving the SERASI Program. (3) Analyze the differences in production and income before and after receiving the SERASI Program. (4) Analyze the impact of the SERASI Program on the production and income of the recipients of the SERASI Program. The data analysis method used is descriptive analysis, income analysis and statistical analysis of the Wilcoxon difference test. The respondents of this study were farmers receiving the SERASI Program. The research location is in Awang Cenrana Village, Cenrana District, Bone Regency. The results showed that (1) the implementation of the SERASI Program in Awang Cenrana Village, Cenrana District, Bone Regency went well from the planning, construction and evaluation stages. (2) Farmers receive benefits such as construction and repair of irrigation canals, assistance for main water pumps, assistance for production facilities, increased frequency of planting and assistance with assistance. (3) There are differences in the production and income of farmers, where the production and income of farmers increases after receiving the SERASI Program. (4) The very significant difference in production and income illustrates the positive impact of the SERASI Program on rice production and farmers' income.
Factors affecting the reliability of senior high schools’ english teacher-made test in Kebumen

This study come up with the problem during the informal interview with the senior high school teachers. The researchers found that the teachers never check out whether the test they made reliable or not. They just find that the students’ score are high when the test done online and the score was low when the test done offline. This study aims to analyze the reliability and the factors affecting the reliability of senior high schools’ English teacher-made test in Kebumen regency. This research belongs to qualitative research, and it used descriptive case study. The instruments used by the researchers to get the data were documentation, close-ended questionnaires, and open-ended interviews. From the research, the reliability of the teacher-made tests are 0.839 (MAN 1 Kebumen), 0.747 (MAN 2 Kebumen), and 0.649 (MAN 3 Kebumen), so the test are reliable. Viewed from the questionnaires’ results, the factors affecting the reliability of the test are student-related reliability, rater reliability, test administration reliability, and test reliability. From the interviews’ results, the factors influencing the tests’ reliability are the mastery of learning material, the preparation of learning before getting the test, students' physical condition, the clarity of instructions of the test, clarity of questions in the test, the atmosphere and time allocation for doing the test.&#x0D; &#x0D;
DEVELOPMENT OF MATHEMATICS LEARNING MEDIA APPLICATION OF LOGARITHM BASED ON FRAMEWORK7

Learning carried out by a teacher can be facilitated by the existence of learning media. Learning media serves as a learning aid for students and can be used as a presentation of information on the subject matter, practice questions, or both. Current learning media can be in the form of applications that can be accessed via an Android smartphone. The purpose of this study was to develop logarithmic mathematics learning media using framework7. Framework7 is specifically intended for building hybrid-based mobile applications. The research method used in this research is research and development or Research and Development (R&amp;D). The research design refers to Thiagarajan's research model which has 4 steps (4D), namely define, design, development, and dissemination. This study used data collection instruments in the form of validation sheets from media experts and material experts as well as a questionnaire regarding the logarithmic material learning media trials. According to the results of the development of learning media, it has five components, namely the home page, logarithmic menu list, logarithmic material interface, AP-LOG interface, quiz interface. There are three stages of learning media trials in this study, namely individual trials, small group trials, and large group trials. The results of the testings of instructional media for teachers and students get the results of 10 indicators. so that the learning media are classified under the criteria "suitable for use" and learning media can be used.
SISTEM INFORMASI INVENTORY OBAT BERBASIS WEB DENGAN FRAMEWORK CODEIGNITER DI APOTEK PUSPITA FARMA SEMARANG

Technological developments within a company are needed in the execution and evaluation of all existing jobs so that the work becomes fast, precise, and accurate. Puspita Farma Pharmacy is one of the community service businesses engaged in the sale of medicines. The high level of service to the community causes errors in processing and making reports which are still done manually.&#x0D; The process of recording goods report data using two kinds of record books, namely a daily goods order book, a daily goods sales recap book, and a record book for each purchase of goods. The use of this manual system found many obstacles that caused the work process to be ineffective and efficient, including errors in recording incoming and outgoing drug data, resulting in empty or excessive drug supplies and the discovery of expired drugs.&#x0D; As a solution to the problems currently experienced by the Puspita Farma Pharmacy, it is necessary to create a drug inventory information system at the Puspita Farma Pharmacy. This information system was created using the PHP programming language, Mysql for databases and the Codeigniter framework for data processing.