Reviewerly/exHarmony huggingface dataset:
Membangun Heritage dalam Penerapan Transformasi Digital Museum Kekhatuan Semaka Pekon Sanggih Unggak Kecamatan Bandar Negeri Semuong Kabupaten Tanggamus

Museums are a place for the community to recognize and understand existing cultural and historical values. However, inadequate and inadequate facilites affect public interest in visiting museums, including the Semaka Kekhatuan Museum in Pekon Sanggih Unggak, Bandar Negeri Semuong. District, Tanggamus Regency. Therefore, this study aims to make a video documentation of the collection of historical objects in the Semaka Kekhatuan Museum and develop a web-based system for developing a video documentation system for the collection oh historical objects at the Semaka Kekhatuan Museum, Pekon Sanggih Unggak, Bandar Negeri Semuong District, Tanggamus Regency. This study uses a type of research and development method (Research and Development). This study uses the ADDIE model which includes five stages, namely Analysis, Design, Development, Implementation, and Evaluation. The data in this development research were collected using to data collection methods, namely the interview method and the questionnaire method. The data generated are in the form of questionnaires resulting from interviews, questionnaires resulting from needs analysis, questionnaires on the results of material and design expert tests, and questionnaires on the results of attractiveness and convenience tests. This can be seen on a website that contains a video documenting the collection of historical object of the Semaka Kekhatuan Museum in the form of the Kekhatuan Semaka Museum, Pekon Sanggih Unggak, Bandar Negeri Semuong District. Tanggamus Regency.Keywords: Collection of Historical Objects, Kekhatuan Semaka Museum, Video Documentation
VARIASI KEGIATAN LITERASI DI TBM BINA CENDEKIA TAMPO DI KABUPATEN MUNA, SULAWESI TENGGARA

This article intended to show the literacy program which aims to develop Community Reading Parks (TBM) as an effort to improve literacy activities in rural areas. The object is TBM Bina Cendekia, located in Tampo, Napabalano District, Muna Regency, Southeast Sulawesi. TBM Bina Cendekia Tampo is one of the literacy activity places in rural areas that was voluntarily established in 2011 and received an operational permit in 2016. However, its management and literacy services are still very limited. The problem faced by management team is the lack of community motivation to visit the TBM that made to TBM is like suspended. The solutions offered in this partnership activity are, one of them, socializing a variety of literacy activities that are entertainment-oriented and educational. Reading activities remain the focus of activities by presenting an atmosphere of "mobile stalls". Other activities that can be carried out are activities to grow interests and talents, discussions, and competitions or exhibitions.
Improved Information Security for Enhanced Government Data Privacy at &amp;lt;i&amp;gt;Zanzibar Social Security Fund (ZSSF)&amp;lt;/i&amp;gt;

The main concern of this study was to explore the strategies for improving information security for enhancement Government data privacy in public sector, Zanzibar Social Security Fund (ZSSF) as case study.Specifically, the explore the effect of restriction of access to information on enhancement Government data privacy in ZSSF, analyses the effect of encryption of all devices on enhancement Government data privacy in ZSSF.Also, the study explores the effect of backup of the office data on enhancement Government data privacy in ZSSF and finally the study analyses the effect of strong password on enhancement Government data privacy in ZSSF.A quantitative research approach was mainly employed with appropriate method of analysis for this study.The sample size for this study consists of 79 after dropping 19 respondents who don't return the questionnaire survey.A questionnaire survey was used as data collection instrument.A descriptive statistical techniques of analysis were used to analyses the collected data from relevant respondents.The study has revealed that four predictors (Restriction of access to information, Encryption of all devices, Backup of the office data and Strong password) had a significant influence on enhancement Government data privacy in Zanzibar Social Security Fund (ZSSF).The study concluded that the information system leads to fulfill the substantial security of properties and confidentiality.Finally, the study recommended that The Information security policies should be adopted and must be developed based on standard Information Security Management System (ISMS) and data privacy.
Penerapan Data Mining untuk Memprediksi Jumlah Produk Terlaris Menggunakan Algoritma Naive Bayes Studi Kasus (Toko Prapti)

Toko Prapti is a small privately owned company that sells basic necessities,. So far, the prapti shop produces sales data every day, but the results obtained show that the prapti shop has not maximized the data so that it becomes a data accumulation. Therefore, the researcher conducted a study on product sales data by utilizing and applying data mining using the nave Bayes classifier algorithm to determine the interest in purchasing goods at the prapti shop. data. In this study, the author uses the waterfall system development method. The author implements this research using a web programming language, namely PHP, using the CodeIgniter framework with MySQl database. The system built with the nave Bayes algorithm includes product sales data, nave calculations of each attribute and reporting. This system produces 4 attributes that greatly affect the results of the classification. The attributes used in this research are the attributes are quarter 1, quarter 2, quarter 3 and quarter 4. Prediction results obtained using the nave Bayes algorithm produce information that can be used by stores to identify the best-selling products purchased by consumers so that it can help prapti shops to find and determine the target market more accurately. Sources of data taken from the previous 1 year with system accuracy using a confusion matrix resulted in 83.3% accuracy, 84.2% precision and 88.9% recall. Â Â Â Keywords : Data mining, Nave bayes Classifier, Code Igniter, Confusion Matrix
Feature Selection Menggunakan Binary Wheal Optimizaton Algorithm (BWOA) pada Klasifikasi Penyakit Diabetes

Diabetes Mellitus (DM) is a chronic disease characterized by blood glucose (blood sugar) levels exceeding normal, i.e. blood sugar levels being equal to or more than 200 mg/dl, and fasting blood sugar levels being above or equal to 126 mg/dl. The increase in the number of people with diabetes is due to delays in detection. Utilization of machine learning in helping to establish a fast and accurate diagnosis is one of the efforts made in the health sector. One of the important steps to produce high classification accuracy is through the selection of relevant features. The problem in feature selection is dimensionality reduction, where initially all attributes are required to obtain maximum accuracy while not all features are used in the classification process. This study uses the Binary wheal Optimization Algorithm (BWOA) as a feature selection method to increase accuracy in the classification of diabetes mellitus. The use of metaheuristic algorithms is an alternative to increase computational efficiency and avoid local minimums. The BWOA algorithm reduces the 8 attributes in the dataset to the 3 best attributes that are able to represent the original dataset. The results showed that from the six classification methods tested, namely: K-NN, NaÃ¯ve Bayes, Random Forest, Logistics Regression, Decision Tree, Neural Network. then the three logistic regression methods, naive Bayes and neural network are in good classification criteria based on Area Under Curve (AUC) while the calculation of the accuracy value shows an average of above 70%. Â Keywords : Feature Selection, Classification, Diabetes Mellitus, Accuracy, Area Under Curve (AUC)
Perancangan Aplikasi Mobil Derek Berbasis Android Menggunakan Metode Scrum

Transportation is one of the facilities in an area to improve accessibility or the relationship of an area because accessibility is often associated with the area. The Central Bureau of Statistics explained that the increase in motorized vehicles in 2015 - 2019 was a significant increase of 6.13%. Under the high demand for mobility, there may be barriers that impede this mobility. The problem with the vehicle used is due to engine damage. To overcome this problem, one solution is to call a tow truck. A tow truck is a vehicle that is used to tow a vehicle that has a traffic accident that is unable to move on its own. In the use of tow trucks, there are still problems experienced by customers and tow truck drivers, namely it is difficult to find the position of the customer's whereabouts with information or addresses that are not necessarily accurate for tow truck drivers and the lack of information about the nearest tow truck for customers. By using the Scrum method, this tow truck search application is designed to be able to place orders by displaying maps to find out the pick-up point, destination point, and tow truck location and can display the availability of tow trucks around the customer. Testing on this application is carried out using Black Box to obtain a percentage of eligibility results of 99.16% and System Usability Scale (SUS) gets an average value of 76.6 these results in SUS getting a grade B percentile rank score.Â Keywords : Tow Car, Scrum, Android, SUS, Black Box
Enhancing Early Breast Cancer Detection Using Transfer Learning, Deep Feature Extraction and SVM Classification

In recent years, breast cancer has emerged as one of the most common types of cancer among women globally.Late diagnosis often results in a higher mortality rate, underlining the crucial need for effective early detection systems, especially those leveraging personal imaging data.In this regard, this study focuses on the integration of transfer learning and deep feature extraction techniques to adapt pretrained CNN models to breast cancer detection.Specifically, AlexNet and VGG16 are employed for feature extraction, with further tuning conducted on AlexNet.The derived features are then classified using Support Vector Machines (SVM).A comprehensive evaluation is carried out using a publicly available breast cancer dataset based on surgical and cellular pathology.Accuracy scores serve as performance metrics.The findings underscore the superior performance of the transfer learning approach compared to the combination of deep feature extraction and SVM classification.
Prototipe Antarmuka Dan Basis Data Website Layanan Administrasi Ujian Sekolah

The implementation of school exams before the Covid-19 pandemic was carried out with a fairly high intensity of interaction and physical gatherings. After the pandemic hit Indonesia, there were a lot of rules and health protocols that limited the physical gathering activity. This also has an impact on school examination administration services in each educational unit, both in the city and in remote villages. The contribution of this research is to provide a solution to this problem in the form of an integrated administration service website in the network for the implementation of school exams, especially in junior high school education units (SMP). As a first step in this research, a prototype was produced in the form of 10 interface designs and a relational database design for a school exam administration service website named SILADUS. The interface design of this website uses the Human Centered Design (HCD) approach and the Laravel framework, while the database design is based on three levels of database architecture using MySQL as the database management application (DBMS). SILADUS Engineering itself uses the prototype method (prototype), which in its stages supports the design, evaluation, and re-design process repeatedly. The results of this initial design can be continued until the prototyping stage is completed and implemented in the education unit.Â Keywords : Interface, Database, SILADUS, Covid-19
SENSITIVITY AND SPECIFICITY OF LAMP IN DETECTING MALARIA PARASITE INFECTION IN ENDEMIC AREAS OF BINH PHUOC PROVINCE IN 2017

The study was conducted in two communes of the mesoendemic malaria area of Binh Phuoc province, using the giemsa technique and LAMP technique to detect malaria parasites. The purpose of the study was to determine the prevalence of malaria parasites in the community and to evaluate the sensitivity, specificity and predictive value of LAMP compare giemsa technique (gold standard). As a result, 384 samples of human blood were collected and analyzed: The prevalence of malaria parasitic by giemsa was 0.52% (2/384) and LAMP was 4.43 % (17/384). The sensitivity of the LAMP technique was 100% (02/02), the specificity was 96.07% (367/382). Positive predictive value was 11.76% (2/17), negative predictive value was 100% (367/367).
Quantum computing and supply chain optimization: addressing complexity and efficiency challenges

Quantum computing is used to address supply chain optimization complexity and efficiency. Multiple locations, time periods, transportation expenses, facility opening costs, production capacity, and demand fulfillment requirements complicate supply chains. Supply chain optimization's complexity and huge solution areas challenge traditional optimization methods. Quantum algorithms can efficiently explore bigger solution areas in quantum computing. Starting with problem identification, this research reviews quantum computing and supply chain optimization literature. The supply chain optimization problem is modeled mathematically to incorporate transportation, facility opening, production, and cost. Binary choice factors and constraints ensure demand fulfillment, facility capacity limitations, and flow balance. The mathematical theory is applied numerically. The example addresses three locations, two time periods, transportation costs, demand amounts, production capacity, and facility opening costs. A proper optimization solver optimizes the decision variables to reduce total cost while meeting demand and making efficient supply chain decisions. The supply chain optimization model reduces costs and informs transportation, facility opening, and production decisions. The numerical example shows how quantum computing may optimize supply chain topologies and reduce costs. The study explains the findings, highlights gaps in the literature, and stresses the need for more research to bridge theory and practice. This study advances supply chain optimization with quantum computing. It shows how quantum computing might improve supply chain network decision-making, efficiency, and cost.
Pengembangan User Interface Pada Website Geopark Belitong

The more advanced the times, the more new things are found and one of them is world heritage. This world heritage can be in the form of geological heritage, cultural heritage, heritage, biological heritage, etc. This arises from the human initiative to find new things which then this heritage will be preserved and maintained. Then the various heritages are processed and preserved through Geoparks. An Earth Park (Geopark) is a single or combined geographic area, which has a Geological Heritage Site (Geosite) and valuable landscapes, related to aspects of Geological Heritage (Geoheritage), Geological Diversity (Geodiversity), Biodiversity (Biodiversity), and Cultural Diversity (Cultural Diversity), and managed for conventional purposes, education, and sustainable community economic development with the active involvement of the community and local government, so that it can be used to foster public understanding and concern for the earth and the surrounding environment. throughout the world without exception, and all under the auspices of UNESCO. UNESCO is an abbreviation of the United Nations Educational, Scientific and Cultural Organization) or the United Nations Educational, Scientific and Cultural Organization which was founded in 1945. The purpose of the organization is to support peace and security by promoting cooperation between countries through education, science and culture in order to increase mutual respect based on justice, the rule of law, human rights, and essential freedoms. To Improve the Belitong Geopark Information Center Has a Website to provide information to the public globally. From the analysis of the Geopark Website, there are several layouts and color choices that do not fit well. Therefore, through this research, a User Interface was developed on the Geopark Website so that it is easy to use by users, has a good User Experience and has a good user interface quality.Â Keywords: Geopark, Unesco, PBB, User Interface, User Experience
Implementasi System Usability Scale untuk Pengujian Usabilitas Chronum Calculator

Chronum Calculator is an alternative learning aid developed to support learning about number conversion. Chronum Calculator is a multimedia learning application that can be used to calculate and describe how to calculate the conversion between types of numbers and the conversion of numbers into color display. In previous research, this application was developed on the Android platform and is planned to be used as a learning aid in computer network and computer organization courses. Therefore, reusability test of this application is needed. Testing and measuring the quality of application reusability is done using the System Usability Scale (SUS) method. The reusability testing questionnaire was given to 31 samples of lecturers and students. The measurement result shows the number 76.38 and is considered acceptable. Where this means that the Chronum Calculator can be well received by users and meets application reusability standards. The results of this research can be used as a basis for further research on the analysis of the effect of usability on user satisfaction chronum calculators in online lectures.Â Keywords : Android, SUS, Usability, Respondents, Measuring
Keamanan Pesan Rahasia Menggunakan Steganografi DCT (Discrete Cosine Transform) pada Citra JPEG

AbstractÂ TheÂ least significant-bit (LSB) based techniques are very popular for steganography in spatial domain. The simplest LSB technique simply replaces the LSB in the cover image with theÂ bits from secret information. Further advanced techniques use some criteria to identify the pixels in which LSB(s) can be replaced with the bits of secret information. In Discrete Cosine Transform (DCT) based technique insertion of secret information in carrier depends on the DCT coefficients. Any DCT coefficient value above proper threshold is a potential place for insertion of secret information.Â Keywords : Discrete Cosine Transform (DCT), steganography, secret messageÂ AbstrakPada steganografi domain spasial, teknik least significant-bit (LSB) merupakan teknik yang paling banyak digunakan pada steganografi. Teknik yang sederhana yang hanya mengubah nilai LSB pada cover image dengan nilai bit pesan rahasia, atau dengan teknik yang lebih baik lagi yaitu dengan menentukan bit-bit LSB mana yang akan dilakukan pergantian nilai bit. Lain halnya dengan metode Discrete Cosine Transform (DCT), teknik steganografi ini akan menyembunyikan informasi rahasia tergantung dari nilai Koefisien DCT.Â Kata Kunci : Steganografi, DCT, Citra, JPEG, Pesan Rahasia
Performance analysis of cryptography algorithms for implementation of secured cloud based online voting system

Any democratic country intends to conduct the elections in a smooth and fair manner such all the citizens of the country participate and elect their leader who can involve himself/herself for the development of the country. Inspite of wide publicity and measures taken for ensuring the participation of all the citizens in the election process, most of the countries are unable achieve 100% voting rate in elections. Among the many reasons for reduction in voting rate, migration of the voters is one of the major reasons for reduction in voting rate. Even though technology and online services have been used in almost all the aspects of day-to-day activities, online features have not been utilized in the process of voting during elections. This paper tries to analyze the performance of the cloud based secured framework by implementing it using PHP and mySQL. Security of the framework is implemented using rivest shamir adleman (RSA), advanced encryption standard (AES) and Blowfish cryptography algorithms.
A case analysis for Kubernetes network security of financial service industry in Indonesia using zero trust model

In this study, a case analysis of Kubernetes application in an enterprise providing financial services in Indonesia is presented. It is implemented to improve their digital services-based application, developed using micro-services architecture. Kubernetes, an application container technology, has been applied in the enterprise providing financial services in Indonesia to improve their digital services-based application, developed using micro-services architecture concepts. Without incorporating any additional hardware, the new technology and services have been adopted to existing virtualized resources of the enterprise. An infrastructure design for secure Kubernetes networking was built and has been studied using the data center provided by the enterprise. This study focuses on two important aspects: network and security. As a security guideline, the network recommendations from VMware, Cisco, and Forrester’s zero trust model were employed to design the infrastructure and were evaluated. The proposed secure network infrastructure design is successfully applied in the container networks using the zero trust requirement, the enterprise’s requirements, and constraints. And we hope this study about network design security can be used and adaptable with existing network and reduce risk and disruption to the business caused by the network.
Machine Learning and Deep Learning Algorithm for Online Bullying Identification

Abstract: The popularity of information technologies has led to bullying in cyberbullying and social media has become its main place compared to mobile phones, gaming platforms and messaging. Cyberbullying can take many forms, including sexual harassment, threats, hate mail, and posting false information about a person that millions of people can see and read. Compared to bullying, cyberbullying has a longer-term impact on victims, which can affect them physically, emotionally, psychologically or in combination. Suicides due to cyberbullying have been on the rise in recent years, and India is among the four countries with the highest incidence.