bluuebunny/crossref_metadata_2025 huggingface dataset:
Educational Game Introducing Cells in Animals and Plants Based on Android Using the Linear Congruential Generator Algorithm
Authors: Ina Anggri Hada , Lede Pingky Alfa Ray Leo , Mira Trisari Dewi Novyanti B
Published: October 2024

In the world of education, science lessons have been taught since elementary school. However, material related to the introduction of animal and plant cells is only given at the junior high school level. State Junior High School 2 Kanatang, East Sumba is one of the secondary schools that provides introductory material to animal and plant cells for class VIII students. In teaching and learning activities, the delivery of material by teachers still uses limited teaching materials, which results in students not understanding the material related to the introduction of animal cells and plant cells. This is proven based on data on student scores for learning material on animal cells and plant cells. Student scores are still below average. flat. For this reason, an educational game about the introduction of cells in animals and plants was created to help students learn science. The method used in this research is the Multimedia Development Life Cycle (MDLC) method. In making the application, the Linear Congruential Generator algorithm was applied to randomize the practice questions in the educational game application for introducing cells in animals and plants. The aim of this research is to produce an educational game for recognizing cells in animals and plants which is able to improve students' ability to remember the cells in animals and plants at SMP N 2 Kanatang, East Sumba. The tools used to build this application are Unity.
Analysis of Two Translation Applications : Why is DeepL Translate more accurate than Google Translate?
Authors: Telaumbanua Yasminar Amaerita , Marpaung Angelin , Gulo Ceria Putri Damai , Waruwu Dodi Kardo Wijaya , Zalukhu Erika , Zai Novita Purnawirati
Published: October 2024

DeepL Translate and Google Translate are two leading machine translation tools. The focus of this research is to analyze the accuracy of translation results provided by DeepL Translation and Google Translation specifically in translating English to Indonesian. This research used a qualitative approach of document analysis and interviews. The advanced neural machine translation technology of DeepL, by utilizing extensive data, enables it to recognize language nuances and provide contextually accurate translations. In contrast, Google Translate, despite having grown to be supported by hundreds of languages, often struggles with complex sentences and idiomatic expressions. DeepL's accuracy and natural-sounding translations make it a top choice for professional and detailed translations. The study concludes that DeepL's focus on quality and accuracy, rather than the breadth of language support, makes it a more reliable translation tool.
The Application of Fuzzy Time Series Method for Web-Based Prediction of Household Chemical Product Sales Stock
Authors: Rangga Muhammad Rangga Alvin Pratama , Sri Siswanti
Published: October 2024

The seasonal and trend factors of the market demand greatly influence the sales of household chemical products. Therefore, PT. XYZ company requires an accurate sales prediction system to optimize production and inventory. This research aims to develop a web-based sales prediction system for household chemical products using fuzzy time series method. This method considers the factors that influence sales and generates a prediction model that can assist the company in decision-making. This method allows the use of uncertain and unstructured variables in the prediction. The research collected historical sales data of household chemical products from January to December 2023 through interviews, observations, and literature studies. The system was designed using a structured approach and PHP programming language. The Fuzzy Time Series method was used for decision-making. The accuracy of the Fuzzy Time Series method for sales data from January to December 2020 was calculated through program simulation and manual methods, resulting in an accuracy rate of 13.71%. The application provides information on the sales of each product, with the hope that users can reduce the accumulation of stock every month.
Internet-Based Smart Door Design of Things (IOT) with Visitor Access Controller Indoor
Authors: Nurmuhlisa  , Fauzi Achmad , Sembiring Hermansyah
Published: October 2024

In the era of digital technology, the Internet of Things (IoT) has become an innovative solution in various sectors, including in access management and room security. This research aims to design and implement an IoT-based smart door system that is able to control visitor access using NodeMCU ESP8266 and send notifications through the Telegram application. The system uses PIR sensors to detect the presence of visitors and servo motors to operate the door automatically. When the number of visitors reaches the maximum set capacity, the system will automatically close the door and send a warning notification to the Telegram bot and activate the buzzer as a warning sign. Thus, this system not only improves the safety and comfort of visitors, but also helps prevent the spread of diseases by limiting the number of visitors according to a safe capacity. The test results show that this smart door system can function well in controlling visitor access and providing real-time notifications when the room capacity is exceeded. The implementation of this system is expected to be applied in various public places to improve security management and visitor capacity effectively.
Design of a Guest Face Detection Tool Using ESP32-CAM Based on Internet of Things (IoT)
Authors: Khadafi Muhamad , Pardede A M H , Sembiring Hermansyah
Published: October 2024

This research develops an Internet of Things (IoT)-based guest face detection tool using ESP32-CAM to create a digital guestbook archive. The device distinguishes between guests and employees, with employee face data stored in a GitHub repository. When the device detects an unfamiliar guest face, a notification and photo are sent to a Telegram bot. If an employee's face is detected, a notification of the employee's name is sent to the Telegram bot. The method used is prototyping and the test results show that this tool is effective in detecting and digitally archiving guest visits.
Design and Development of the Android-Based ‘Desa Bersinar Banyumas’ Application
Authors: Salsabilla Hanin , Usman Muhammad Lulu Latif
Published: October 2024

Narcotics are natural, synthetic, or semi-synthetic substances that produce hallucinations and are addictive. Drug abuse can have a negative effect on the user's psyche and also death. BNN implements the Drug Clean Village or Desa Bersinar program to create a drug-free environment. Volunteers or officers collect data on drug users manually by filling in data into a form. In collecting data on drug users, volunteers or BNN officers cannot synchronize data so data collection is prone to duplicate data. The application of computer technology to the Android application can be used as a solution to overcoming the problem of data collection on narcotics users in the Bersinar Village area. The application created with an Android-based application can be used anytime and anywhere. The purpose of this research is to make the Desa Bersinar (Drug Clean) application to record Android-based narcotics users and to conduct testing on the Desa Bersinar application. The research method used in making the Desa Bersinar application is to use the Agile Development System method. The Agile method consists of several stages, namely plan, design, develop, test, deploy, review, and maintenance. From the results of this study it is a Bersinar Village application will be produced that can help volunteers or BNN officers in Banyumas Regency in recording narcotics users in Bersinar Village.
Implementation of the Pieces Method at Levelovo Application User Satisfactiont
Authors: Elsa Phelia  , Nur Aini  , Iwan Setiawan
Published: October 2024

Technological advances in payment systems replace the role of cash to non-cash forms that are more efficient and economical. One application that has become an alternative choice for many people in making non-cash payment transactions is the OVO application.  This research uses the PIECES method which aims to determine the level of satisfaction of OVO application users in Tebat Agung Village based on performance, information, economics, control and security, efficiency and service (service). The results of this research show that the OVO application received an average total score of 3.40, which shows that users are very satisfied with the OVO application in Tebat Agung Village
Application of KNN (K-Nearest Neighbor) in the Medical Dental Equipment Recommendation System at Rantauprapat Hospital Web Based
Authors: Monica Anggun , Yahfizham  , Harahap Aninda Muliani
Published: October 2024

The development of information technology currently has a very important role and can be utilized in facilitating all human activities from various aspects, including activities that take place in the health sector such as hospitals which already use many information systems specifically designed to handle various supplies or inventory. At the Rantau Prapat Regional Hospital, data collection on medical equipment supplies still uses manual methods, namely visiting and recording the equipment that needs to be equipped to each polyclinic one by one, which takes quite a long time and the medical equipment inventory team has difficulty prioritizing which tools must be equipped first for each polyclinic, so that continue to maintain the number of treatment numbers in each clinic, especially in dental and oral clinics. Therefore, we need a system for recommending dental medical equipment based on the dental diseases frequently suffered by patients and the number of treatments per year. In building a web-based dental medical tool recommendation system, researchers used the K-Nearest Neighbor (KNN) algorithm method to classify new objects based on attributes and training samples. The working principle of KNN is to find the shortest distance between the data used and its K closest neighbors in the training data and produce more accurate and effective data.
Simulation of Service Queue for Dental Doctor Patients at Kindergarten Hospital. IV 01.07.02 Binjai Using the Exponential Method
Authors: Br Bangun Cindy Arsita , Pardede A M H , Sihombing Marto
Published: October 2024

One of the systems that can be simulated is a queue. The queuing system consists of a collection of customer servers, a queue that regulates service to customers. The utilization of queuing simulations is to optimize services by designing service resources so that services can be effective and efficient. In the queuing system there are several problems that often occur, for example queuing queues, the number of queues will cause problems such as bored customers, and discomfort will make customers dissatisfied with the service. The Application of the Exponensial Method in the Dentist Patient Service Queuing System There are 28 general populations in this study, namely all consumers at the Kesrem Binjai Hospital, while the target population is the population that is actually used as a data source for patients who queue at the Kesrem Binjai Hospital  to get the best service. is the target population in this study.
Application of Apriori to Determine Correlations between Source Competencies Human Resources with Education and Working Period
Authors: Reza Alexandra  , Buaton Relita , Suria Alamsyah Putra
Published: October 2024

Human resource competence (HR) is a key factor in supporting organizational performance. Referring to several problems in the Binjai City BKD, such as there is a difference between the competencies possessed by employees and the competencies needed to carry out their duties and responsibilities effectively, the placement of employees that are not in accordance with the competencies, the absence of a system to map and monitor employee competencies can cause difficulties in identifying development needs, as well as in the placement of appropriate employees. Employee competency mapping is relevant in the implementation of human resource management, both in planning, development and employee placement activities. Therefore, it is necessary to carry out competency mapping that can be used for various human resource management needs and this is in accordance with the priority program that will be carried out in the 2025 RKPD, namely improving the quality of innovative human resources. This study uses a priori algorithm with the Rapidminer application to be able to provide correlation results of human resource competencies. From the results of the research, a correlation was formed between human resource competence and education and work period, namely 8 association rules and the highest best rule was obtained with support of 32% and confidence value of 99.4%.
Implementation of K-Nearest Neigbors for Prediction of Motorcycle Service Waiting Times in Develop Tech
Authors: Huandito Dion Tri , Sri Lestanti  , Filda Febrinita
Published: October 2024

This research examines the application of the K-Nearest Neighbors (KNN) algorithm to predict wait times at Develop Tech, a workshop that offers affordable services but has longer spare parts wait times compared to official workshops. The research method used is descriptive quantitative, involving data collection and processing. In this study, the KNN algorithm is utilized to predict wait times by measuring distances between data points using and performing voting based on the K value to determine the final prediction. Testing on 100 data points demonstrated that KNN could predict wait times very accurately, achieving 100% accuracy, precision, and recall at certain K values. The data was split into 80% for training and 20% for testing, a method commonly used in machine learning research to ensure a balance between training data and validation. The results indicate that the KNN algorithm is reliable for predicting wait times with optimal performance at K values between 3 and 10. These findings support the conclusion that the KNN algorithm functions effectively in predicting wait times at the workshop.
Application of the Apriori Algorithm to Analyze the Correlation of Underage Marriage Factors
Authors: Rizki Tri Ipanda  , A M H Pardede  , Melda Pita Uli Sitompul
Published: October 2024

This study aims to analyze the correlation between various factors contributing to underage marriage in Kota Binjai. The primary variables influencing underage marriage include economic, social, cultural, parental, and educational factors. These five variables are considered significant in the prevalence of underage marriage within the Kota Binjai community. The methodology employed involves data mining techniques using the Apriori algorithm to identify the most frequently occurring data correlations. The analysis reveals that the best rule with 2 itemsets has a support of 42.7% and a confidence of 69.6%, while the best rule with 3 itemsets has a support of 26.7% and a confidence of 71.4%. For 4 itemsets, the support is 12% with a confidence of 50%. These findings indicate that economic factors are the most frequently appearing and consistently influential in the decision of Kota Binjai residents to engage in underage marriage, both independently and in combination with social, cultural, and parental influence factors
Design and Build Automatic Fan Control Based Internet of Things
Authors: Septian Refli , Achmad Fauzi  , Milli Alfhi Syari
Published: October 2024

This research aims to create and develop an automatic fan control system based on the Internet of Things (IoT) that can regulate the room temperature well. The NodeMCU ESP8266 serve as a microcontroller for this system. The DHT22 sensor detects temperature, the L298N Driver Motor controls the speed of the 12V DC fan, and the 16x2 LCD displays temperature information in realtime. When the room temperature exceeds the threshold, the fan will automatically turn on and off when the temperature returns to normal. The Blynk app also allows users to monitor and control fans through smartphones. It allows users to manually control the fan and monitor it remotely. The results of the study show that this system works well and improves user comfort by managing the room temperature. The system also offers high flexibility with IoT integration, allowing for further development for wider applications in home automation and energy management.
Design of a Safe Security System Based on Internet of Things Using Face and Fingerprint Detection
Authors: Pitaloka Nadila , Pardede A M H , Husnul Khair
Published: October 2024

Traditional safe security systems usually use manual keys and a combination of numbers or passwords to open the safe. This system has several disadvantages such as being easy to break into, cumbersome, and the owner easily loses the key, even forgets the password needed to open the safe, which causes the safe to be unable to open. This research develops an Internet of Things (IoT)-based safe security system that uses two security options to open the safe, namely face detection and fingerprint authentication to increase security against unauthorized access with a prototype method. The system uses the ESP32-CAM to capture facial images and send them to the Telegram app for manual verification by the owner, while the fingerprint sensor ensures only registered users can open the safe. Arduino Uno serves as the main microcontroller to manage the integration between components such as ESP32-CAM, fingerprint sensor, relay, solenoid lock, LCD, and buzzer. The test results show that this system is effective in providing security to the safe through notifications, although it still relies on manual verification of faces via Telegram and requires a stable internet connection, and fingerprints that have been registered are successfully implemented. Further development is recommended to automate face recognition and improve the overall performance of the system.
Design of a Web-Based Monitoring and Evaluation Application for Mentoring Using the Rapid Application Development Method at The Faculty of Computer Science UNIKA Santo Thomas Medan
Authors: Harianja Andy Paul , Situmorang Carolin Afriani
Published: October 2024

The academic and thesis supervision processes at the Faculty of Computer Science, UNIKA Santo Thomas Medan, currently face various challenges, including a lack of clear structure in scheduling and difficulties in monitoring student progress. To address these issues, this research aims to develop a web-based application that supports monitoring and evaluation of the supervision process. The application is designed using the Rapid Application Development (RAD) method, which facilitates flexible and responsive development tailored to user needs. With features such as supervision scheduling, student progress tracking, and automatic evaluation, this application is expected to enhance the effectiveness of supervision, facilitate communication between lecturers and students, and support more structured academic management within the faculty. The implementation of this application has successfully improved the efficiency of the supervision process and ensured that students receive more structured guidance.
Super Encryption Feal Algorithm and Base64 Algorithm Image File Security
Authors: Br Bangun Tiara , Achmad Fauzi  , I Gusti Prahmana
Published: October 2024

In the rapidly advancing digital era, image file security has become a critical issue, especially with the increasing risks of data breaches and attacks on digital files. This study aims to enhance the security of image files by implementing a combination of two cryptographic algorithms: Fast Data Encipherment Algorithm- 4 (FEAL-4) and Base64. FEAL-4 is a symmetric encryption algorithm known for its high speed and processing efficiency, while Base64 is used for encoding binary data into ASCII format to ensure safer transmission. This research develops a super encryption system that integrates these two algorithms to protect the integrity and confidentiality of image files, particularly for BMP, JPEG, and PNG formats. The implementation was carried out using the Visual Basic programming language. The results of the study show that the combination of FEAL-4 and Base64 algorithms significantly enhances the security of image files, with a high success rate in the encryption and decryption processes.
Clustering Students Level of Understanding of Programming Language Courses Using the K-Means Algorithm
Authors: Ramadana Noval , Yani Maulita  , Sembiring Hermansyah
Published: October 2024

This study aims to categorize students based on their level of understanding of programming language courses using the K-Means algorithm. Students often experience difficulties in understanding the basic concepts of programming languages, which can affect their ability to solve programming problems. Using data obtained from questionnaires filled out by STMIK Kaputama Binjai students, this study analyzed variables such as attendance rate, learning interest, and level of understanding. The analysis results show the existence of patterns and relationships between these variables, which can be used to identify groups of students who have a good, poor, or no understanding of the course. This research is expected to provide input for educational institutions in designing learning strategies that are more effective and attractive to students.
Selection of Outstanding Course Participants for Award Recipients Using the Topsis Method of Case Studies of Multilogic Course Institutions
Authors: Riza Mahyuda  , Rahmadani  , Br Sitepu Kristina Annatasia
Published: October 2024

A course institution is an organization or institution that provides educational or training programs in various fields. This institution aims to improve the skills, knowledge, and competencies of course participants. Course institutions can operate formally or informally and offer different types of courses, ranging from short-term courses to more intensive programs. Examples of course institutions include vocational training centers, language schools, computer centers, and other professional educational institutions. In this study, the author wants to explain the determination of outstanding course participants by applying the TOPSIS method to get alternative students who are close to positive ideals and far from negative ideals, based on data on participant values, among others, course certificate assessment criteria, course average scores, skills, final project scores and attendance, the value of giving awards to participants in order to further improve the quality of participant achievement so that the participants are more enthusiasm in learning. The purpose of selecting outstanding students to give awards is to appreciate and recognize the efforts, abilities, and outstanding achievements shown by students. This award aims to motivate students to continue to excel, increase their enthusiasm for learning, and encourage healthy competition among participants. In addition, this award also serves as an inspiration for other students to strive to achieve the best results in their field of pursuit. After doing the preference value of each alternative, the largest score is owned by alternative V14 (Dwi Intan Sari) with a value of 0.801. It can be concluded that the recipient of the award for the outstanding participant in Multi Logika is Dwi Intan Sari.
Digital Image Security Analysis using Hill Cipher and AES Algorithm
Authors: Ranti Dwi , Achmad Fauzi  , Sitompul Melda Pita Uli
Published: October 2024

In today's digital era, digital image exchange has become very common in various industries, but this also increases security risks such as counterfeiting, image manipulation, and information theft. To protect the confidentiality of information in digital images, encryption is a fairly effective method. Hill Cipher, as a classic cryptographic method, offers matrix-based encryption, while Advanced Encryption Standard (AES) is known for its high level of security and efficiency. By combining Hill Cipher and AES, encryption systems can leverage the strengths of classic and modern cryptography together, providing an additional layer of protection that strengthens the security of digital data and reduces vulnerabilities that may exist in each method separately. This approach provides a more comprehensive solution for maintaining the confidentiality of digital images in the context of evolving security threats.
Image Processing in Improving the Scan Results of Identity Cards and Family Cards with Noise with the Median Filtering Method
Authors: Sholawati Fitria , Novriyenni  , Sihombing Marto
Published: October 2024

In the digital era, identity documents such as Identity Cards and Family Cards play a crucial role in administration and public services. The process of scanning these documents often results in images with noise that can interfere with data accuracy and identification. This research aims to improve the quality of scanned images by using the median filtering method to reduce salt and pepper noise. Median Filtering was chosen for its ability to preserve edges and details in images, which is crucial for identity documents such as Identity Cards and Family Cards. In this study, the system developed to enhance scanned images was implemented and tested. Evaluation results show that the Median Filtering method is effective in removing noise without damaging the edges and fine details of the images. The evaluation indicates that this system is effective in producing images that meet the quality standards required for official administration and identification. This research is expected to contribute to the development of digital image enhancement technology for identity documents, thus improving accuracy and reliability in public services.
Classification of Tile Productivity Data Based on Tile Type Using Random Forest Algorithm in Langkat Regency
Authors: Muhammad Arif Ridho  , Buaton Relita , Muammar Khadapi
Published: October 2024

This study aims to classify data on the productivity of census in Langkat Regency based on the type of census by using the Random Forest algorithm. Ubinan is a method used to measure the productivity of food crops, and in this study, the data was processed with various variables such as planting area, type of fertilizer, type of pesticide, and production volume. The Random Forest algorithm was used to build a classification model that could predict the productivity of the tares with very high accuracy, reaching 99.58% in the training stage. The model categorizes the productivity of the samples into several levels, namely Very Low, Low, Medium, High, and Very High. The implementation of this system is also equipped with a MATLAB GUI interface, which makes it easier for users to train and test data efficiently. With this system, users can see the prediction results through intuitive visualization. This research is expected to help farmers and policy makers in improving agricultural productivity through data-based analysis.
Linear Regression Analysis in Predicting the Amount of Stock of HP Sparepart Goods in GMT
Authors: Gilang Aryudha  , Hasibuan Wilda Rina
Published: October 2024

The rapid advancement of the digital era has made smartphones an essential part of daily life, making the availability of high-quality spare parts crucial for their seamless operation. GMT, a store specializing in smartphone spare parts, faces challenges in predicting fluctuating consumer demand, often leading to either stock shortages or excesses. To address this issue, this research develops a stock prediction system based on linear regression, which analyzes sales data to accurately forecast stock needs. The implementation of this method has resulted in improved accuracy in stock management, enabling GMT to optimize inventory, minimize potential losses, and enhance both customer satisfaction and operational efficiency.
Analysis of Village Residents Receiving Social Assistance Using Linear Regression Method
Authors: Rafli Fitriawan  , Saragih Rusmin , Ambarita Indah
Published: October 2024

This study aims to analyze the recipients of social assistance in Banyumas Village using the simple linear regression method. The research examines how household income affects the amount of social assistance received. Data was collected from the Banyumas Village Office, including information on income and the amount of social assistance received by residents. The results show a negative relationship between household income and the amount of assistance received, where higher income leads to smaller assistance. The model also demonstrates good accuracy with an average prediction error (MAPE) of 9.38%. Additionally, an R² value of 0.999972 indicates that the model can explain almost all variations in the data. This study provides valuable insights into the effectiveness of the social assistance program in Banyumas Village and to help improve the program in the future.
Optimizing Web-Based Survey Applications with Laravel and Cloud Computing
Authors: Saputri Nanda , Safriadi Safriadi , Dahlia Zaharatul , Rahmadani Rahmadani
Published: October 2024

This study aims to optimize the performance of a web-based survey application through the implementation of the Laravel framework and cloud computing technology. Survey applications often face challenges regarding response speed and scalability as the number of users increases. In this research, performance testing of the application was conducted both before and after optimization. The test results show that the application's response time significantly decreased after the implementation of Laravel and cloud technology. Before optimization, the average response time reached 4.5 seconds at 1,000 users, while after optimization, it dropped to 2.2 seconds. This performance improvement was achieved through efficient caching implementation, database query optimization using Eloquent ORM, and balanced load distribution via load balancers. Additionally, the application's availability increased to 99.9% thanks to cloud features such as auto-scaling and data replication. The conclusion of this study indicates that the combination of Laravel and cloud computing technology is effective in enhancing the performance and reliability of web-based survey applications, providing practical guidance for other web application developers facing similar challenges.
The Effect of Technical Specifications on Ceramic Tiles used for Cladding of Swimming Pools
Authors: Abbas Ali
Published: October 2024

The study of the impact of the technical specifications of ceramic tiles requires a comprehensive understanding of the nature of the tiles in order to obtain tiles with special specifications different from ordinary tiles (floors, walls) The research was divided into three chapters and due to the importance of this topic, the researcher wanted to formulate the research issue with the following question: How important are the technical specifications of ceramic tiles used in cladding swimming pools? Relevance: While the importance of the research study is embodied by studying the efficiency of the technical specifications for ceramic tiles, in addition to documenting and enriching the knowledge aspect of the technical specifications. Objectives: While the current study aims to reveal the extent to which the technical specifications of the ceramic tiles used in the cladding of swimming pools are, As for the limits of the research, it was determined through the objective aspect by studying the importance of the technical specifications of ceramic tiles used in the cladding of swimming pools, while the limits of the research included the spatial limit of swimming pools through photographs and the temporal limit of the time period 2014-2024. Methods: The second chapter included the first and its main headings: The specifications of ceramic tiles with architectural cladding, the technique of using cladding in swimming pools, achieving the aesthetic and functional identity of ceramic tiles used in cladding swimming pools The form and organization of the design body using ceramic tiles for swimming pools, the importance of cladding using ceramic tiles in swimming pools, the level of organization of the technical specifications of the design configurations, the design integration of ceramic tiles used in the cladding of swimming pools) The third chapter specialized in defining the topic of research procedures, represented by the research methodology based on the analytical descriptive method, while the research population was based on the purposive selection method. Results: The fourth chapter included the conclusions of the research findings, as well as the recommendations for future proposals and the proposed design of tiles inside swimming pools. Conclusions: It is possible to determine the technical specifications of the tiles in the design and cladding of swimming pools in accordance with the consumer's desire, taking into account the compositional factors in the cladding processes.
Discovery of the genus Dishkeya (Lepidoptera: Tischeriidae) in Honduras: unveiling the unique traits of D. gouaniae
Authors: Stonis Jonas R. , Diškus Arūnas , Orlovskytė Svetlana
Published: October 2024

This publication records the endemic genus Dishkeya Stonis in Honduras and, for the first time, documents the female genitalia and leaf mines of D. gouaniae (Stonis & Diškus). Additionally, it provides the first barcodes and molecular considerations regarding the genus Dishkeya. The article is illustrated with 34 figures, including photographs of male and female genitalia, leaf mines, exuviae, and a molecular tree based on mtDNA COI sequences.
Energy Poverty and Environmental Quality Nexus: Empirical Evidence from Selected South Asian Countries
Authors: Sikdar Asaduzzaman , Bani Nor Yasmin binti Mhd , Salimullah Abul Hasnat Muhammed , Majumder Shapan Chandra , Idroes Ghalieb Mutig , Hardi Irsan
Published: October 2024

South Asian countries are included in the economies of developing Asia. The region of South Asia is predominantly affected by energy poverty issues due to a heavy reliance on conventional energy and unpredictable access to energy services. It has about a quarter of the world's population and is home to three of the world's ten most populated countries: India, Pakistan, and Bangladesh. This study investigates environmental sustainability dynamics in South Asian countries from 2000 to 2021, utilizing the Cross-sectional Autoregressive Distributed Lag (CS-ARDL) and Dumitrescu-Hurlin (D-H) causality methods. The research offers insights into the long-term trends and causal relationships that shape environmental outcomes in South Asian nations. Based on empirical findings, in the long-term, it is revealed that increases in energy poverty, economic growth, income inequality, and capital formation raise greenhouse gas (GHG) emissions, while renewable energy and labor reduce GHG emissions. On the other hand, the error correction term shows the speed of adjustment toward equilibrium at 0.75%. Furthermore, the D-H panel causality reveals a directional link between variables. These findings highlight the urgent need for South Asian countries to implement policies to address energy poverty, promote renewable energy adoption, and reduce income inequality to mitigate GHG emissions and achieve long-term environmental sustainability effectively.
Standardization of Various Chemical Seed Priming on Seed Quality Parameters in Black Gram (Vigna mungo)
Authors: Rana A. Midhul , Sathiyanarayanan G.
Published: October 2024

Black gram is an important pulse crop in India. It is a major source of dietary protein for the poor people and provides nutritional security. It is mostly grown by the small and marginal farmers under resource constraints situation particularly in rainfed and rice fallow conditions. Seed priming is one such effective technology to achieve high growth, vigor, better stand establishment. The current study aimed to study the standardization of various chemical on crop growth in black gram. A laboratory experiment was conducted in Factorial Completely Randomized Design (FCRD) with three replications using various concentrations (1%, 2%, 3% and 4 %) as first factor and different durations (4 and 6 h) of priming as second factor and different chemicals such as ZnSO4, MnCl2, MgSO4, CaCl2, KCl and KNO3 as third factor. Seeds were primed with different chemicals in different concentrations and in different duration evaluated for its quality parameters to find out suitable seed priming technique. Among all treatments seed priming with ZnSO4 1% for 6 hours recorded higher germination (98%), longest root length (22.17 cm), shoot length (19.15 cm), higher seedling dry matter production (0.93 g seedlings-10), fresh weight (8.93 g seedlings-10) and vigor index (4004) than control under laboratory experiment. The results indicate that use of ZnSO4 1% for 6 hours enhances the seed performance regarding seed quality characters.
Toxicity Assessment of Tannery Sludge Extract During Early Seedling Growth in Brassica nigra, Vigna radiata, Vigna mungo, Raphanus sativus and Capsicum frutescens
Authors: Raw Kamla Pat , Kulsoom Mahiya , . Anita , Yadav Aneet Kumar , Kumar Monu , Kumar Dhananjay , Mishra Sunita , Kumar Narendra
Published: October 2024

Tannery sludge (TS) contains a number of useful components like Organic carbon, Organic Matter, PO43-, Ca2+, Mg2+, and other nutrients essential for plant growth. However, presence of water-soluble toxic metals in TS may cause phytotoxicity. Primary objective of this work was to adopt a bio-chemical strategy for assessing the potential consequences of agricultural application of tannery sludge, via sludge characterization and subsequent bioassay investigations. Heavy metal concentration in the TS was found to be in the order of: Cr (19576±2065.52) > Pb (16.98±2.54) > Cu (1.76±0.20) > Ni (0.98±0.00) > Cd (0.19±0.00) mg kg-1. Further, bioassay tests were performed in terms of germination index (GI), relative seed germination (RSG) and relative root growth (RRG) on Brassica nigra, Vigna radiata, Vigna mungo, Raphanus sativus, and Capsicum frutescens. RSG and RRG were found to be more than 80% whereas, GI was > 66% in all the tested crops exposed to TS extract at 1:5 and 1:10 (w/v) dilutions. Results revealed that the toxicants present in the TS were failed to cause toxicity at early seedling growth and may be used as a soil conditioner after appropriate dilution. However, long term field trails are essential before agricultural utilization.
Effect of Seed Priming Using GA3, KNO3, ZnSO4 on Germination Parameters of Vigna unguiculata
Authors: Sundharan M. , Kamaraj A.
Published: October 2024

Cowpeas (Vigna unguiculata), an important legume is a versatile crop, also commonly known as southern pea, black eye pea, crowder pea, lubia, niebe, coupea or Frijole. The establishment of this crop is poor due to poor germination. Seed priming technique helps to overcome this difficulty. There is only less research have been carried out to enhance seed germination in cowpea by seed priming technique. This research paper focuses to study on the effects of different priming agents like GA3 at 20 ppm, 40 ppm and 60 ppm, KNO3 at 1 %, 2%, 3%, ZnSO4 at 1 %, 2%, 3% and hydro priming all in 3 hrs and 6 hrs soaking conditions. The untreated seeds serve as control. The result from the present study revealed that the germination parameters viz., germination value, germination index, imbibition, co-efficient of variation of germination, seed length, root length, seedling length, vigor index were at its maximum for the seeds primed with GA3 at 60 ppm, KNO3 at 2% and ZnSO4 at 2%. Priming of seeds at lower concentration improves the seed germination parameters which in turn increases the yield.
Resposta a: "O direito de acompanhamento da mulher na saúde: uma análise dos reflexos da lei 14.737/2023"
Authors: Oliveira Alves da Costa Amanda , Schmitt Goedert Emanuelle , Barzan Leonardo Kailani , Esmeraldino Mendes Marcon Chaiana
Published: October 2024

Prezados editores,
O estudo de Meireles e colaboradores é esclarecedor e contribui significativamente para o debate sobre os direitos das mulheres no contexto da saúde, além de inspirar a reflexão sobre os avanços conquistados ao longo dos anos, tratando com respeito e sensibilidade o impacto positivo para a saúde física e mental das mulheres brasileiras. Cabe ressaltar que tal análise foi instigada pela alteração da lei nº 8.080, que regulamenta o Sistema Único de Saúde, tema pouco abordado considerando os dados epidemiológicos da agressão à mulher e os traumas deixados por isso. Assim, a amplificação dos direitos, por meio da lei nº 14.737, de 27 de novembro de 2023, foi um passo importante para o direito das mulheres, assunto bem elucidado pelo artigo.¹⁻⁶
DOENÇAS METABÓLICAS NUTRICIONAIS EM BOVINOS DE CORTE EM CONFINAMENTO: CAUSAS, IMPACTOS E ESTRATÉGIAS DE MANEJO
Authors: De Sousa José , Ribeiro Mendes Kelbiana , Oliveira Hyago Jovane Borges de , Lima Rosa Felipe
Published: October 2024

O confinamento de bovinos de corte tem se tornado uma prática comum na pecuária brasileira devido ao aumento da demanda por carne e à intensificação da produção. No entanto, essa prática tem gerado desafios relacionados às doenças metabólicas nutricionais, como acidose ruminal, cetose, timpanismo e lipidose hepática, que impactam negativamente a saúde e o desempenho dos animais. Este artigo tem como objetivo explorar as principais causas dessas doenças, seus impactos na produtividade e economia da pecuária, e as estratégias de manejo nutricional para preveni-las. A pesquisa foi realizada por meio de revisão bibliográfica, analisando estudos recentes sobre o tema. Os resultados indicam que a adoção de um manejo nutricional adequado, com dietas balanceadas e monitoramento contínuo da saúde dos animais, é fundamental para minimizar os riscos dessas enfermidades e garantir a eficiência produtiva em sistemas de confinamento.
ALTERAÇÕES NA COBERTURA E USO DO SOLO POR ATIVIDADES DE PASTAGEM E DENDEICULTURA EM CONCÓRDIA, ESTADO DO PARÁ
Authors: Da Silva Paiva Rafael , Santana Rodrigues Mateus , Reis Ribeiro Reinaldo Matheus , Rodrigues Olinda Douglas
Published: October 2024

Este estudo investiga as alterações na cobertura e uso do solo pelas atividades de pastagem e do dendê no município de Concórdia no estado do Pará no período de 1992 a 2022. Os dados foram processados utilizando o mapeamento do Projeto MapBiomas. Os resultados mostraram o baixo percentual de cobertura vegetal e o alto predomínio de pastagem no município de Concórdia. É valido ressaltar que o uso do MapBiomas se configura como uma interessante ferramenta uma vez que não apenas gerou subsídios para a determinação da distribuição do uso e cobertura de solo, como também abriu uma série de possibilidades de investigação relacionadas à análise e gestão ambiental que podem ser realizadas no município.
A IMPORTÂNCIA DAS BLOCKCHAINS NA SEGURANÇA DE ATIVOS DIGITAIS
Authors: Keller Gonçalves Lucas , Costa Matos Gabriel , Tolentino Souza Jessica , Soares de Souza Marinho
Published: October 2024

O objetivo do presente artigo é explanar e analisar o funcionamento da tecnologia blockchain, quais são as suas aplicações, e a sua importância na segurança digital. A metodologia utilizada no trabalho é de revisão bibliográfica, com a qual se busca trazer o entendimento do assunto, apresentando onde e de que maneira a tecnologia estudada é aplicada. Além de sua aplicação inicial nas criptomoedas, a tecnologia blockchain tem se mostrado relevante em diversas áreas, como finanças, saúde, cadeias de suprimento e governos. Também é abordado neste artigo as vantagens da segurança da blockchain em relação às outras tecnologias, mostrando que, a blockchain não só reforça a segurança digital, mas também redefine os parâmetros de confiança e integridade nas interações online, estabelecendo novos padrões para o futuro da segurança da informação.
Palavras-chave: Segurança, criptografia, blockchain, imutabilidade, descentralização.
TRANSFORMAÇÃO DIGITAL NA GESTÃO PÚBLICA: UMA ANÁLISE INICIAL SOBRA AS EXPECTATIVAS E NECESSIDADES DOS CIDADÃOS EM RELAÇÃO À TRANSFORMAÇÃO DIGITAL
Authors: Campos Purcino Claudevan , Raissa Ferreira Gomes Heulállya , Ivanilse Calderon Ribeiro Maria
Published: October 2024

Nos últimos anos, a transformação digital na gestão pública tem se tornado uma prioridade global, visando modernizar processos e aprimorar a prestação de serviços. Embora os governos estejam adotando plataformas digitais para tornar os serviços mais acessíveis e centrados nas necessidades dos cidadãos, há uma discrepância entre as expectativas da população e a realidade das iniciativas implementadas. Os cidadãos demandam serviços públicos mais transparentes, ágeis e personalizados, mas frequentemente enfrentam desafios como falta de acessibilidade e burocracia digital. Este artigo visa identificar as lacunas entre as expectativas dos cidadãos e a prática governamental na transformação digital. Para isso, será realizada uma revisão da literatura sobre o tema, seguida de uma análise das necessidades identificadas. Além disso, serão apresentados exemplos de iniciativas bem-sucedidas no Brasil e sugestões de melhorias para aumentar a participação cidadã na concepção e implementação de serviços digitais.
REABILITAÇÃO DE PACIENTES PÓS CHIKUNGUNYA: UMA REVISÃO DE ENSAIOS CLÍNICOS RANDOMIZADOS
Authors: Velano de Souza André Luiz , De Lima Gomes Antônio Jorge , Pinheiro Lauar David , Cordeiro de Sá Matteus
Published: October 2024

A febre Chikungunya é uma arbovirose causada pelo vírus Chikungunya, transmitido através da picada de fêmeas dos mosquitos Aedes aegypti e Aedes albopictus infectadas. A viremia pode persistir por até 10 dias, após o surgimento das manifestações clínicas, que são semelhantes às da dengue, como febre de início agudo, dores articulares e musculares, náusea, cefaleia, fadiga e exantema (irritação na pele). Ela tem se tornado um importante problema de saúde pública nos países onde ocorrem as epidemias, visto que metade dos casos evolui com artrite crônica, persistente e incapacitante. Neste contexto, muitos pacientes acabam necessitando de acompanhamento fisioterapêutico com o intuito de melhorar o quadro álgico e a qualidade de vida. O objetivo deste estudo foi revisar na literatura o que se tem de mais atual na reabilitação destes pacientes, através de ensaios clínicos randomizados. A abordagem fisioterapêutica é amplamente indicada para pacientes com doenças articulares crônico-degenerativas, principalmente nas fases subaguda e crônica.  Existem evidências que os exercícios resistidos, o método Pilates e a neuromodulação não invasiva sejam eficazes na reabilitação dos indivíduos acometidos pela febre Chikungunya, reduzindo dor, melhorando a função e no geral, melhorando a qualidade de vida destes indivíduos.
LOW-CODE E NO-CODE: DEMOCRATIZANDO O DESENVOLVIMENTO DE SOFTWARE
Authors: Rodrigues Baldow Samuel , Oliveira Ferreira Rhyan , Evangelista Cardoso Gustavo , Bredoff Nunes Ricardo
Published: October 2024

Este artigo explora as plataformas de desenvolvimento de software low-code e no-code como alternativas promissoras para a criação de aplicativos, principalmente devido à escassez de desenvolvedores qualificados e à complexidade dos métodos tradicionais. As plataformas low-code permitem o desenvolvimento com pouca codificação, utilizando interfaces visuais, e são voltadas para desenvolvedores com alguma experiência técnica. Já as plataformas no-code eliminam totalmente a necessidade de programação, sendo ideais para "desenvolvedores cidadãos" ou usuários de negócios sem habilidades técnicas.O estudo destaca que as plataformas democratizam o desenvolvimento ao reduzir barreiras de entrada e aceleram a criação de valor. Suas principais vantagens incluem a redução do tempo e custo de desenvolvimento, aumento da produtividade e flexibilidade. No entanto, o artigo também aponta algumas desvantagens, como as limitações de personalização e a dependência de fornecedores, especialmente em soluções no-code. O texto conclui analisando tendências futuras, como a integração com inteligência artificial e o crescimento do desenvolvimento multiplataforma, além de exemplos de empresas que obtiveram sucesso com essas ferramentas.
Palavras-chave: Low-code; No-code; desenvolvimento de software; democratização.