bluuebunny/crossref_metadata_2025 huggingface dataset:
EVALUASI PERSEDIAAN OBAT COVID-19 PADA MASA PANDEMI DAN FAKTOR YANG MEMPENGARUHI DI RUMAH SAKIT PEMERINTAH DAN RUMAH SAKIT SWASTA DI KOTA MAKASSAR
Authors: Rizki Fadila , Kristin Erna , Putri Andayani Ni Luh Putu Eka
Published: June 2023

Background: Drug management realizes the availability of drugs needed to be effective and efficient, especially during the COVID-19 pandemic. The high use of COVID-19 drugs makes several types of drugs needed to experience vacancies, and due to changes in government regulations make some COVID-19 drugs stagnant.Objectives: To evaluate the supply of COVID-19 drugs during the pandemic and the factors that influence it in government and private hospitals in Makassar CityMethods: This study is a mixed-method study with a sequential explanatory design. Quantitative data were obtained retrospectively from January to December 2021 by searching drug management documents. Qualitative data was obtained through in-depth interviews with 12 informants.Results: The availability of COVID-19 drugs in government hospitals is 19.3 months, while in private hospitals, it is 13.6 months. Factors that affect drug supply are the method of planning drug needs, Lead Time, and several changes in guidelines.Conclusions: The supply of COVID-19 drugs is still excessive at that Public Hospital, and the factor that most influenced the supply of COVID-19 drugs was changes in guidelines.
A Review of the Stereo lithography 3D Printing Process and the Effect of Parameters on Quality
Authors: Mhmood Tiba Raed , Al-Karkhi Nazar Kais
Published: June 2023

Stereo lithography (SLA) three-dimensional (3D) printing process is a type of additive manufacturing techniques that uses digital models from computer-aided design to automatically produce customized 3D objects. Around 30 years, it has been widely utilized in the manufacturing, design, engineering, industrial sectors and its applications in dentistry for manufacturing prosthodontics are very important. The stereo lithography technology is highly regarded because it can produce items with excellent precision especially when selecting the best process parameters. This review article offers a useful and scientific summary of SLA three-dimensional printing technology and its brief history. The specific type of 3D printers which is SLA type based on light curing resin and material overview is also presented. Moreover, the survey was conducted to gain substantial knowledge of the various advantages and disadvantages of SLA 3D printing. According to this study, a summary has been specified on the accuracy of SLA 3D printers and various factors that affected its accuracy and dimension measurement namely layer thickness, normal exposure time, bottom or top exposure time, post processing and room temperature. The majority of works in the literatures conducted till date are on improving the physical part attributes like dimensional accuracy and surface roughness but the improving of the mechanical properties have received less attention and need more focusing in the future works.
Analysis of the Impact of Family Education Level on Household Income: A Study Based on the CHFS Database
Authors: Li Na
Published: June 2023

Education and income have long been recognized as important factors in social and individual economic development. It is widely believed that higher levels of education provide individuals with better employment opportunities, career development, and income growth prospects. Therefore, studying the changes and variations in the relationship between family education level and income is crucial for understanding socioeconomic inequality and formulating relevant policies. This paper utilizes microdata from the China Household Finance Survey and Research Center (CHFS-2019), employs the imputation method to measure family education level and total household income, and employs a multiple regression model to empirically analyze the impact of family education level on total household income. The research findings indicate a significant positive correlation between the highest educational attainment within a family and total household income, suggesting that an improvement in education level may have a positive impact on the family’s economic status. Furthermore, age exhibits a negative relationship with total household income, implying that aging may impose limitations on individual income growth. Additionally, further analysis on regional and urban-rural factors reveals that the relationship between family education level and total household income is more significant in urban areas and the eastern region.
A REVIEW ON THE PHYTOPHARMACOLOGICAL PROPERTIES, UNANI AND MODERN PHARMACOLOGY OF BISFAYEJ (POLYPODIUM VULGARE LINN)
Authors: KHANAM MARHABA
Published: June 2023

Different herbs and their constituents are used for medicinal purposes by approximately 80 percent of the world population, which is evidenced by the rapidly growing global and national markets of herbal drugs. This review is aimed at presenting an overview of the medicinal properties of P. vulgare, its phytoconstituents and diverse pharmacological activities. To retrieve the information related to this drug, a thorough literature survey was undertaken using the various classical Unani and Herbal literature books viz., Al-Qānūn fi’l Tibb, Makhzan al-Mufradat, Kanzul Advia Mufradah, Ilmul Adwiya Nafisi, Taj al-Mufradat, Indian Materia Medica, Indian Medicinal Plants among others. Further, for other traditional uses, phytoconstituents, pharmacological activities and research studies of the drug, various online bibliographic databases like Pub Med, Google Scholar, Science Direct, Web of Science and Scopus were meticulously searched. The keywords used for the search included “Polypodium vulgare”, “Bisfayej”, “Polypody root and rhizome”, “Phytoconstituents of Polypodium vulgare”. P vulgare is proven to possess neuro-psycho-pharmacological, CNS depressant and anti-epileptic activity through its anti-cholinesterase and 5-hydroxytryptamine (5-HT) stimulatory effect. Various clinical researches validate the use of P vulgare in the management of conditions such as Epilepsy, Arthritis, Leprosy, Melancholy and Alzheimer’s disease. Further studies are needed to unravel its other pharmacological activities.
FROM SEIZURES TO WOUNDS: THE POTENTIAL OF PHENYTOIN IN TRAUMATIC WOUND MANAGEMENT
Authors: BABU PASUPULETI ARCHANA , SEKHAR A. CHANDRA , VISHNU
Published: June 2023

Objective: Phenytoin is a medication primarily used to treat seizures, but it has been discovered to have the potential for wound healing due to its ability to increase collagen production, promote new blood vessel growth, reduce inflammation, fight infections, and encourage new skin growth. These effects are particularly useful for healing chronic wounds like pressure ulcers, diabetic ulcers, traumatic wounds, and venous ulcers.
Methods: This is a two-year prospective study conducted between January 2020 and December 2022 at the Government General Hospital in Kurnool. A study was conducted on 60 patients with traumatic wounds, dividing them into two groups. One group received topical phenytoin dressing, while the other received normal saline dressing. The study compared wound surface area, granulation tissue percentage, pain ratings on the visual analog scale, and healing time between the groups on day 14 and day 21.
Results: On day 0, cases and controls had similar wound surface areas (62.17±25.74 cm2 and 62.14±21.57 cm2, respectively) and VAS scores (8.81±1.22 and 8.88±1.52). By day 14, cases had significantly smaller wound surface areas (41±32.32 cm2), a higher percentage of granulation tissue (75.56±7.30%), and lower VAS scores (4.57±1.78) compared to controls (53.28±25.33 cm2, 58.45±7.01%, and 6.32±1.02, respectively). By day 21, cases had even smaller wound surface areas (28.3±31.75 cm2), a higher percentage of granulation tissue (93±3.46%), and lower VAS scores (2.78±0.42) compared to controls (40.34±34.23 cm2, 72.56±5.05%, and 4.82±1.27, respectively). The time for wound healing was significantly shorter for cases (22.76±7.28 d) compared to controls (32.64±9.31 d). On day 21, negative cultures were found in 80% of wounds in the study group and 50% of wounds in the control group, with a statistically significant difference (P-value<0.05).
Conclusion: Topical phenytoin dressing had positive effects on wound healing by increasing the rate of granulation tissue formation, providing better pain relief, and shortening the healing time. It was found to be a safe, effective, and cost-effective option for wound healing due to its various mechanisms. The study highlights the significance of phenytoin in treating traumatic wounds, particularly in patients with limited access to expensive wound-healing medications.
ANATOMICAL-HISTOLOGICAL STUDY OF SOME PLANTS USED IN THE TREATMENT OF BILHARZIA IN COTE D'IVOIRE
Authors: BENE KOUADIO , AZOKOU ALAIN , KOUAME KOUASSI BERNADIN
Published: June 2023

Objective: The study of 11 plants used in the treatment of Bilharzia in Côte d'Ivoire aims to highlight their anatomical-histological structures.
Methods: The anatomical study of these plants was carried out on the stems by the classical method of staining the tissues with carmine-green.
Results: This staining technique made it possible to distinguish two groups of tissues. Those with a pink stained cell wall (cellulose wall cells) and those with a green stained lignified cell wall. From the periphery to the interior of the organs, we observe the epidermal hairs, the epidermis, the collenchyma, the cortical parenchyma, the sclerenchyma (for aged or more or less aged tissues), the liber or phloem, the wood or xylem and the medullary parenchyma.
Conclusion: The carmine-green staining made it possible to distinguish different plant stem tissues, arranged according to the colouring, structure, shape and size of the cells in each tissue.
Behaviour of Concrete by Partial Replacement of Fine Aggregate with Recycled Plastic Granules
Authors: Khan Mohammed ShakeebUlla , Wadkar Abhijeet , Karnik Vaibhav , Beldare Nikhil , Sonawane Vaishali
Published: June 2023

Abstract: In this paper low density poly ethylene (LDPE) granules used as replacement for fine aggregate for producing concrete cubes has been investigated and reported. LDPE based concrete cubes were cast manually and the strength of the test concrete in terms of compression test experimentally evaluated. It is found that the strength of plastic replaced concrete in terms of compression can be comparable with the conventional concrete. The present study is aimed at concrete mix with partial replacement of fine aggregate by LDPE granules (0%, 10%, 20% and 30%) that will provide an advantage in reducing the dead weight of structure. This mix in the form of cubes and cylinders were subjected to compression to ascertain the strength parameter. Hence the use of plastic granules in concrete making is not only beneficial but disposal of plastic wastes.
Image Forgery Detection Using Deep Learning
Authors: Kumar Boda Nithin
Published: June 2023

Abstract: In recent years, with the prevalence of cameras, taking pictures has become more and more popular. Images are essential to our daily life as they contain a wealth of information and often need to be enhanced to obtain additional information. Various tools are available to improve image quality. Nevertheless, they are also commonly used for fake images, leading to the spread of misinformation. This has increased the severity and frequency of image forgery, a major concern today. Many traditional techniques have been developed over time to detect fake images. Convolutional Neural Networks (CNNs) have gained a lot of attention in recent years, and CNNs are also influencing the field of image forgery detection. However, most image forgery techniques that exist in the CNN-based literature are limited to detecting specific types of forgery (image splicing or copy-transfer). Therefore, there is a need for techniques that can efficiently and accurately detect the presence of invisible counterfeits in images. In this article, we present a robust deep learning-based system (CNN) that uses mantra-net to identify image fakes. ManTraNet is end-to-end convolutional neural network consisting of two sub-networks. One for extracting features associated with tamper evidence and the other for detecting local anomalies between features. A graphical user interface (GUI) was created for detecting digitally processed images. The method has an accuracy of 96.4% and has been proven to be efficient and practical.
Reverse Shell with Persistence
Authors: Veganti Jaya Prakash , Saka Venkata Sai , Mungi Sai Manoj , Sathyanarayana S. K.
Published: June 2023

Abstract: Now-a-days, almost every house in the world contains at least one device which is connected to the internet. This makes it easy for attackers to target anyone from anywhere easily if he knows the technology. Attackers can have many ways of attacking the target system and gaining access to the remote systems. One of the ways is creating a remote shell. In this project, we used python to create the Reverse Shell and converted into a .exe file to gain persistence by setting it as a start-up process. We write a program for the target computer and the attacker uses the Netcat tool to gain access to the victim’s computer. Since the target computer is trying to connect with our system, target will be the Client and our system will be the Server. All that we need to do is make the target run the Client-side program in his system and the rest will be handled by the Server.
House Price Prediction and Recommendation
Authors: Patekar Prof. Poonam
Published: June 2023

Abstract: Determining how much a house will sell for in a city is still a challenging and time-consuming task. This article's goal is to make predictions about the coherence of non-housing prices. A crucial method to ease the challenging design is to use machine learning, which can intelligently optimize the best pipeline fit for a task or dataset. For individuals who will be residing in a home for an extended period of time but not permanently, it is essential to predict the selling price. Real estate forecasting is a crucial part of the industry. From historical real estate market data, the literature seeks to extract pertinent information. Land price bubbles grow as a result of real estate prices, which leads to macroeconomic instability. The government should look into the variables that drive up real estate prices so that it can use them as a guide to assist stabilize the area. There are many economic circumstances that are in play at the time also have an impact on the selling price of a home.
A Study on Factors Influencing Consumer’s Online Buying Behavior: A Study in Bihar, India
Authors: Rao Dr. MVK. Srinivasa
Published: June 2023

Abstract: In today‘s era of globalization electronic business and marketing become a great revolution. Over the last decade maximum business organizations took up the technological changes. Due to increase in telecommunication and broadband connectivity, majority of the companies started their business online. Online shopping or online marketing is now used for better marketing performance to meet the demand of online shoppers. It is important for the companies to identify consumer behavior in area of online shopping, to attract and enhance online buyers by understanding their attitude, perception and behavior. This paper identifies the key factors that influence the online behavior of the customers in Bihar. A sample of 200 respondents was selected in Bihar and a self-administered questionnaire was used to collect primary data. The data was recorded by using Google data form with number of open, close ended questions, and the Likert Scale. An attempt was made to text the hypothesis and analyzed the data with the help of SPSS version 25.0 and AMOS software. The findings of the study showed that the Socio, Economic Conditions in Bihar, Attitudes &Perceptions of Customers, Trust on Banking/UPI payment Systems, Reliability and Popularity of E- Commerce Apps and On-line Products Marketing are influencing the online purchases of products in Bihar
Child Immunization System
Authors: Bhome Manthan
Published: June 2023

Abstract: We are all aware that children should have their vaccines at the right times, however many parents are unaware of this vaccination because of their hectic lifestyles and some parents' knowledge. Therefore, the goal of our website is to raise awareness among all parents about the need to make sure that all infants receive their vaccines on schedule. An overall strategy for collecting and keeping each child's medical data has been suggested based on their date of birth and in compliance with the approved vaccination schedule. It is suggested that doctors and parents have access to a web application that has the appropriate permissions. Due to the a significant rise in mobile usage, the same is provided in an android-based mobile application. Additionally, parents are often urged to vaccinate their kids on schedule until they are fully protected. Keeping medical records in a standard database can help deliver kids who require excellent and efficient treatment in addition to reducing the need to carry documents.
Live Inventory Tracking System Using IOT
Authors: Shinde Prof. S. S.
Published: June 2023

Abstract: Inventory Management System software is important for organisations that operate hardware stores, where the store owner keeps track of sales and purchases. Poor inventory management leads to disgruntled customers, excess money in warehouses, and slower sales. With this initiative, paper work, human mistake, manual delay, and process acceleration are all avoided. An inventory management system can help a store owner keep track of sales and available goods, as well as calculate when and how much to repurchase. Inventory Management System is a Windows application for Windows operating systems that focuses on inventory control and the ability to generate all essential reports.
Description of Image encryption Using AES-256 bits
Authors: Wade Sahil
Published: June 2023

Abstract: Image Encryption using AES Algorithm is a technique to secure the confidentiality of images. One of the most popular and secure encryption algorithms is the AES (Advanced Encryption Standard) algorithm. It is a symmetric encryption algorithm that encrypts data using a 128-bit block cipher. In this process, the image is first converted into a binary format. Then, a random 128-bit key is generated, which is used to create a sequence of subkeys that will be used for each round of encryption. The binary image is then divided into 128-bit blocks, and the encryption algorithm is applied to each block using the subkeys generated earlier. This process ensures that the image is encrypted securely and is only accessible to those who have the key to decrypt it. One of the advantages of using AES is that it provides a high level of security, making it difficult for hackers to decrypt the encrypted data. Additionally, AES is a fast algorithm and can be implemented easily in hardware or software. The use of AES for image encryption ensures that the image is protected against unauthorized access and provides a secure way of transmitting sensitive images over the internet. Thus we can say that Image Encryption using AES Algorithm is a secure and efficient way to protect the confidentiality of images. It uses AES, a widely used encryption algorithm, to encrypt images securely, making it difficult for hackers to decrypt them without the key.
Effects of Partial Replacement of Sand by Crushed E-Waste on Mechanical Properties of Concrete
Authors: Chandak Dr. Mayuri , Tembhurne Khushabu , Gaikwad Trupti , Singh Ashutosh , Katare Shubham , Khadse Nikita
Published: June 2023

Abstract: Electronic waste is an increasing issue and a serious pollution problem for the environment and human life. The disposal of electronic waste is becoming a serious problem. The main potential for addressing the disposal of large amounts of electronic waste material is in the construction industry. The excess cost of coarse aggregate has forced civil engineers to find out an alternative solution for the construction materials. So, we can use e-waste as a partial replacement for coarse aggregate. Using electronic waste in construction will not only reduce the waste materials like electronic waste from the earth but also reduce the construction material(concrete) that will lead to economic construction. for Concrete mixes, different rate percentages of E-waste were selected and three different types of conventional and standard specimens have been decided to be partly replaced by E-waste at a percentage rate of 10%, 20%, and 30% for a coarse aggregate. M25 Concrete is usually prepared for conventional specimens without using E-waste aggregates. The results and effectiveness of concrete with e-waste replacement and the physical and mechanical properties of the following have been studied in this paper.
Voice Recognition Based Money Transaction Using Stegnography
Authors: Jawalkar F. P. , Kamble A. K. , Khanolkar M. S. , Gangarde M. A.
Published: June 2023

Abstract: Security has been one of the most crucial challenges in today's environment when insecurity is widespread. Voice biometrics is a developing field in security, particularly for the purpose of authentication. Voice biometric speaker recognition utilizes the distinctive qualities of the human voice, including physiological and behavioural traits. These traits have the ability to identify a person and have distinct and relevant vocal features. This method also makes it possible to verify a user regardless of environment or channel changes. With the use of Machine Learning (ML), software can recognize voice and match it during authentication. Voice recognition is a part of speech recognition. A software system can match a customer's identification to their voice using voice recognition, a feature of AI. In this system, first the user has to register using their voice. After registration the user will log into their account. Then the user will select the person to whom the transaction is to be made and enter the amount to be transferred. Then the transaction will be successful. Here we will secure voice in the database at bank server. In this project, the main objectives are to use voice recognition for login, to use audio steganography for security purposes and to build a web application for the mentioned objectives.
Skin Cancer Detection and Classification Using Deep Learning
Authors: Nadiger Pooja
Published: June 2023

Abstract: Skin cancer is the most prevalent type of cancer worldwide. Early skin cancer identification is essential for effective therapy ,and computer-aided diagnosis systems can improve the precision and effectiveness of diagnosis. In this study, a Convolutional Neural Network (CNN) is developed for skin cancer detection. The CNN is trained on a dataset of skin lesion images to classify the lesions as either cancerous or noncancerous. The proposed model achieved an accuracy of 90% in classifying skin rashes as benign or malignant, demonstrating its potential as a tool for skin cancer detection. Skin cancer is the out-of-control development of unusual cells in the epidermis, the outermost skin layer, brought about by DNA harm that causes harmful variations. Despite consistent upgrades in medication, skin cancer is still an issue. Consequently, the insights by the Skin Cancer Foundation, one of every five Skin cancer will occur in people by age seventy. The project expects to plan a framework that will be adequately proficient to distinguish the occurrences of different sorts of skin malignancy in the body by extracting significant patterns from the dataset.
Automated Vermicomposting using Portable Bin
Authors: Mohapatra Pratisruti
Published: June 2023

Abstract: The gradual increase in world population and Intensive livestock production, all produce large amounts of organic waste. There is a serious disposal problem all over the world and it is a major cause of environmental pollution. An IoT based portable vermicomposting bin is a modern solution for efficient and convenient composting. This innovative approach utilizes the Internet of Things (IoT) technology to connect the vermicomposting bin to a network and unable real time monitoring and control of various parameters, such as temperature, moisture and pH level. The IoT based vermicomposting bin provide a user friendly and easy to operate level.
Using CNN Algorithm Detection of Suspicious Activity from Video Surveillance
Authors: Shrivastav Sushant
Published: June 2023

Abstract: Detecting suspicious human activity involves predicting the positions of body parts or joints from an image or video. This problem has been extensively studied in computer vision for over 15 years. It is crucial because there are numerous applications that can benefit from activity detection. For instance, human pose estimation is used in various areas such as video surveillance, tracking and understanding animal behaviour, detecting sign language, improving human-computer interaction, and capturing motion without markers.
A Review Paper on Water Pollution in Rivers of the City
Authors: Bhosale Rohit
Published: June 2023

Abstract: The availability and quality of water resources has an impact on the political, social, and economic development of a society. Water is deemed dangerous to human and aquatic life when it is contaminated by unexpected chemicals. This water is referred to as being polluted. Water pollution results from many factors. Natural factors include the biodegradation of plant and animal parts in clear water, siltation caused by riverbank erosion, and others. Water pollution caused by humans includes things like fertilisers, household garbage, and industrial waste. Maharashtra's surface water contamination is at an alarmingly high level. Water is essential for all living things, thus there is no need to elaborate. For physiologic purposes, they either directly or indirectly consume water. If the water being consumed is contaminated, harm will undoubtedly result. The worst aspect is that this spreads via the food chain to other people. As a result, we need to be aware of the harmful effects that contaminated water may have on us. One of the fundamental resources required for humanity to survive on Earth is water. The Ganga, Yamuna, and Sabarmati rivers are revered by the Indian population, while the Mithi River is significant for its biodiversity. It is customary to drink from and bathe in the sacred rivers. However, a number of contaminants, including pesticides, heavy metals, organic waste, chemical waste, and sewage discharge, impair the water quality of these rivers. The water is no longer safe for human consumption, raising the risk of disease outbreak. Due to the direct exposure of people and other life forms to hazardous substances and heavy metals through contaminated river water, there is a danger of developing several fatal diseases. This study's goal is to investigate the sources of water contamination in significant Indian rivers and its potential health risks. Although we cannot completely stop water pollution today, reduction is crucial. It's time we started working on it by taking some action.
IoT- Based Battery Management for Enhanced Sustainability
Authors: R Rishabh
Published: June 2023

Abstract: The Usage of Lithium Batteries grows every day, especially in the field of Automobiles. The Fire Safety and increasing E-Waste due to Lithium batteries becomes a huge concern for the Industries and Governments too. Governments from various countries come up with multiple policies to ensure the safety protocols and proper recycling of used Lithium resources. This Paper presents a technical tool to achieve the goal of maximum safety and efficient utilization of Lithium resources. This is achieved using data generated by the battery during its usage. Every Lithium battery comes with a Battery Management System, which monitors and generates data from the. The data collected over period and the reports generated over the data are used to identify the possibility of reuse of these batteries after its first life usage. These reports can help in identifying the possibility of second life and also the appropriate application for that battery for the second life.
Contactless System Navigation Using Dynamic Hand Gesture Recognition
Authors: Prasad Abhijeet , Bhosale Satyajit , Shaikh Abdul
Published: June 2023

Abstract: Hand gestures are a natural way for human-robot interaction. Vision based dynamic hand gesture recognition has become a hot research topic due to its various applications. Traditional (or conventional) methods of human-computer interaction, namely, keyboards, pointing devices, and similar physical input tools, and the more popular and commonly used touchscreens, are only as useful through the application of pressure through physical touch. The recent pandemic has driven a major argument about the substantial and often, indispensable need for contact-less operation of systems, irrespective of the scale of the industry. Say for example, supply chain systems that are handled by scores of employees in the span of a day. It is quite fundamental knowledge now, that how public systems that work on physical contact can pose as potential vectors for diseases. Hand gesture recognition can turn out to be an excellent solution to this problem; facilitating truly contact-less interaction with computing devices, and at the same time providing dependable and respectable efficiency. This approach will be further elaborated in upcoming editions of this research article.
Backup for MS Teams using Graph API
Authors: Pawar Mrs. Poonam , Rajpurohit Ashwin , Kishor Kamal , Nargide Nishant , More Pankaj
Published: June 2023

Abstract: The use of Microsoft Teams has significantly increased. It is a setting with lots of info. The data of the team can manage everything, including chat messages, photos, recordings in files, voicemails, and contacts. Like any other programme, Teams data needs to be regularly backed up to provide security and guard against data loss. The fact that Team's data is dispersed broadly across the Microsoft 365 cloud makes backup for Team challenging as well. Teams keeps track of calendar information, discussion history, and chat data in Exchange. It keeps channel files and wikis in SharePoint and chat files in OneDrive. This implies that backing up Exchange, SharePoint, and OneDrive all at once is the only method to backup all of your Teams data. There are typically other steps that you must perform in order to get the restored data back into MS Team. We studied and collected information from various research papers, blogs and sites about how this data is stored and can be retrieved for backup and storage. We also studied about Graph APIs provided by Microsoft to work on this vast amount of data collection. You can access Microsoft Cloud with the RESTful Microsoft Graph API. resources as well as rich, people centric data.
Smart Automated Dustbin
Authors: Talukdar Akash , Paul Sayan , Bhattacharya Atri , Banerjee Parna , Banerjee Shirsendu , Bhattacharaya Swagata
Published: June 2023

Abstract: The project's major goal is to create a smart trash can that would aid in maintaining a clean and environmentally friendly environment. Since technology is becoming increasingly intelligent, we are utilizing Arduino to develop a smart dustbin that will help clean the environment. This intelligent trash can management system is based on a microcontroller and has ultrasonic sensors on the trash can. If trash bins are not maintained, they might lead to pollution that is bad for our health and create an unhealthful atmosphere. In the suggested technique, a smart trash can made of an Arduino Uno, an ultrasonic sensor, a servo motor, and a battery jumper wire has been created. The Smart Dustbin program will now be performed when all hardware and software connections have been made. Dustbin lids will raise when someone approaches within a certain distance and then wait for the user to load and seal the bin. Either it's operating properly or not. In terms of society, it will promote cleanliness and health, and in terms of business, we work to make it as widely accessible and inexpensive as we can. so that everyone, from the poor to the affluent, may profit from it.
Online Voting System using Face Recognition and OTP
Authors: Gunthe Srushti , Pimpude Akanksha , Rathod Kajol , Zaware Prajwal
Published: June 2023

Abstract: An online voting system is a proposed solution to the challenges faced by traditional voting systems. This project aims to develop an efficient and secure online voting system that uses face recognition technology and one-time password to authenticate the identity of voters and prevent fraudulent activities. The system's user-friendly interface and advanced security features make it accessible and trustworthy for all voters, including those who cannot physically attend polling stations. The project will use Python programming language and various libraries such as OpenCV and NumPy for image processing and Haar Cascade Algorithm for face detection and recognition. The system will be tested extensively to ensure its effectiveness and prevent potential issues. The proposed system has the potential to revolutionize the voting process and make it more efficient, accessible, and secure for all citizens.
Analisis istilah wacana kebijakan pembatasan sosial covid-19 di Indonesia
Authors: Nursalam Nursalam , Sulaeman Sulaeman , Mustafa Irvan
Published: June 2023

Pembatasan sosial covid-19 di Indonesia menggunakan ragam istilah yang dinilai mengandung wacana. Penelitian ini bertujuan menganalisis identitas teks, ideologi penciptaan teks, hingga praktik sosial yang melatarbelakangi penciptaan teks wacana kebijakan pembatasan sosial terkait covid-19 di Indonesia. Penelitian ini menggunakan pendekatan analisis wacana kritis Norman Fairclough. Sumber data penelitian media online yang memuat istilah-istilah dalam pembatasan sosial covid-19 yang dinilai sebagai teks wacana. Kemudian, informan sebagai unsur akademisi dan masyarakat umum yang memiliki pandangan khusus terkait istilah wacana covid-19. Teknik analisis data yang digunakan meliputi tahap reduksi, penyajian, dan penarikan kesimpulan. Pengumpulan data yang dilakukan mencakup studi dokumentasi dan wawancara mendalam berupa teks-teks dalam penanganan covid-19 dan tuturan verbal. Kesimpulan hasil penelitian ini ditemukan ada enam teks atau istilah wacana dalam penanganan covid-19 di Indonesia, yakni (1) lockdown, (2) social distancing, (3) physical distancing, (4) karantina wilayah, (5) pembatasan sosial berskala besar, dan (6) darurat sipil. Adapun ideologi penciptaan teks yang dimuat dalam discourse practice meliputi aspek produksi dan konsumsi teks. Dalam aspek produksi, teks dibangun sebagai wacana pencegahan covid-19. Wacana tersebut menuai resistensi masyarakat sebagai bagian dari aspek konsumsi masyarakat. Selanjutnya, praktik sosial yang melatarbelakangi penciptaan teks wacana kebijakan pembatasan sosial meliputi pertimbangan ekonomi dan pertimbangan politik. Pertimbangan ekonomi adalah cara pemerintah menjaga legacy ekonomi, sementara pertimbangan politik adalah cara pemerintah menjaga citra politiknya.
Dimensi gender dalam novel-novel Indonesia Periode 1920-2000-an berdasarkan kajian kritik sastra feminis
Authors: Muyassaroh Muyassaroh
Published: June 2023

Tulisan ini merupakan hasil penelitian yang didasari oleh fenomena bahwa ideologi gender yang berlaku pada masyarakat dapat mewarnai karya sastra yang dihasilkan. Sebagai kreasi imajinatif, muatan ideologi gender yang diemban novel tidak dapat dilepaskan dari kehidupan masyarakat saat karya itu diciptakan. Begitu pula, novel-novel Indonesia periode 1920—2000 merepresentasikan ideologi gender yang berkembang saat itu. Penelitian ini bertujuan untuk mendeskripsikan  gambaran tokoh perempuan dalam novel-novel Indonesia periode 1920—2000 sebagai akibat adanya ideologi gender. Untuk mendeskripsikan hal tersebut, digunakan pendekatan kritik sastra feminis. Kritik sastra feminis ini berupaya membongkar ketimpangan gender antara laki-laki dan perempuan, sehingga mengakibatkan diskriminasi dan kekerasan pada perempuan yang terdapat dalam karya sastra. Ketimpangan gender yang terjadi disebabkan oleh dikotomi peran perempuan. Pada periode sebelum kemerdekaan, peran perempuan dibatasi pada sektor domestik, sedangkan sektor publik mulai didiami perempuan sesudah kemerdekaan. Sumber data penelitian ini adalah sebelas novel Indonesia yang diterbitkan pada periode 1920—2000. Hasil penelitian menunjukkan bahwa tokoh perempuan yang digambarkan dalam novel-novel periode 1920—2000 berkutat pada kategori sektor domestik dan publik. Akan tetapi, kedua sektor yang didiami tokoh-tokoh perempuan mengalami perkembangan pesat. Eksistensi perempuan pada ranah pubik semakin kuat seiring dengan perubahan zaman. Sebaliknya, domestifikasi posisi dan peran perempuan semakin berkurang karena mereka mengaktualisasikan diri dalam masyarakat, bidang ekonomi dan pendidikan, serta menentukan pilihan.
Implikatur pada wacana vaksinasi covid-19 di akun instagram @kemenkes_ri
Authors: Risnawati Risnawati
Published: June 2023

Implikatur percakapan dimaksudkan untuk menjelaskan dan menerangkan maksud tertentu yang berbeda dengan yang sebenarnya disampaikan oleh penutur. Wacana vaksinasi Covid-19 yang terdapat pada media sosial khususnya Instagram saat ini sedang menjadi bahasan yang paling menarik dan menjadi perhatian masyarakat, terlebih unggahan di media sosial memunculkan persepsi yang berbeda-beda. Pada akun Instagram Kementrian Kesehatan yang berisi informasi penting dan akurat memunculkan adanya maksud tersendiri dibalik unggahan gambar/video. Penelitian ini bertujuan menemukan implikatur pada unggahan vaksinasi Covid-19 akun Instagram @kemenkes_ri. Sumber data penelitian berasal dari unggahan tentang vaksinasi Covid-19 melalui media sosial Instagram. Data primer yang digunakan berupa gambar dan tulisan di akun Instagram @kemenkes_ri tentang vaksinasi Covid-19 selama 3 bulan. Penelitian ini termasuk jenis kualitatif dengan menggunakan teknik pengumpulan data, yaitu pengambilan gambar atau dokumentasi secara langsung di media sosial Instagram. Teknik analisis data penelitian ini, yaitu mengidentifikasi, mengklasifikasi, menganalisis, menyajikan, dan menyimpulkan data. Dari hasil analisis ditemukan implikatur wacana pada vaksinasi yang menekankan adanya informasi penting yang ditujukan kepada masyarakat. Selain itu, pada unggahan kemenkes-ri juga terdapat maksud mengajak masyarakat semua usia khususnya lansia untuk melakukan vaksinasi tanpa rasa takut. Hasil penelitian ini ditemukan empat bentuk implikatur, yaitu (1) mengklarifikasi, (2) menginformasikan, (3) mengajak, dan (4) menenangkan. Pada unggahan akun Instagram kemenkes_ri juga memiliki maksud mengklarifikasi adanya berita tentang kematian setelah dilakukan vaksin. Berbagai informasi tentang vaksinasi diunggah dengan menambahkan gambar dan percakapan untuk menarik perhatian rakyat khususnya pengguna media sosial Instagram agar mengikuti aturan pemerintah terkait vaksinasi. Dari sekian bentuk implikatur dapat diketahui bahwa bentuk menginformasikan dan mengajak sangat dominan dalam implikatur wacana vaksinasi Covid-19. Berdasarkan hal tersebut disimpulkan bahwa implikatur pada wacana vaksinasi covid menekankan pada adanya makna tersembunyi pada unggahan Instagram
Strategi dan teknik persuasi perekrutan calon anggota baru (Studi kasus kebahasaan pada bisnis multi level marketing bodong)
Authors: Sukarno Sukarno , Nurdianto Agung , Setiari Agustina Dewi
Published: June 2023

Para pelaku bisnis Multi Lavel Marketing (MLM) seringkali memanfaatkan retorika persuasi untuk untuk merekrut nasabah sebagai anggota baru dalam bisnis MLM yang mereka geluti. Penelitian ini bertujuan untuk menyingkap jenis-jenis strategi dan teknik persuasi yang digunakan oleh para pembicara untuk memengaruhi dan merekrut calon anggota baru pada bisinis MLM Bodong. Jenis penelitian ini adalah deskriptif kualitatif, pendekatan yang digunakan adalah kualitatif kritis dengan model analisis ujaran yang mengandung unsur persuasi.  Data penelitian berupa frasa dan atau penggalan-penggalan kalimat yang mengandung unsur persuasif dikumpulkan dari empat video seminar dan testimoni oleh pembicara PT.QNET International.  Keempat video seminar dan testimoni tersebut diunduh dari empat kanal YouTube pada tanggal 13, 15, dan 18 Maret 2020. Data yang talah terkumpul diseleksi dan diberi kode menurut strategi yang digunakan dan teknik penerapan masing-masing persuasi. Selanjutnya, data dianalisis berdasarkan teori persuasi Aristoteles (1984) untuk mengungkap jenis strategi dan teknik persuasi yang digunakan guna merekrut anggota baru. Hasil penelitian ini menunjukkan bahwa terdapat tiga jenis strategi persuasi, yaitu: Logos, Etos, dan Patos. (1) Strategi logos diterapkan dengan teknik pembuktian keberhasilan, sebab akibat, slogan, penggunaan gaya bahasa, (2) strategi etos diterapkan dengan teknik penggunaan nilai keagamaan/sosial, citra positif, rendah diri, dan ungkapan, dan (3) stretegi etos diterapkan dengan teknik cerita anekdot, penciptaan emosional, dan penggunaan kalimat imperatif. Hasil penelitian ini diharapkan dapat menjadi pembelajaran dan masukan kepada masyarakat agar tidak mudah terpengaruh oleh bujuk rayuan pihak-pihak yang kurang bertanggung jawab terkait dengan penanaman modal (investasi) pada kegiatan bisnis yang menjanjikan keuntungan yang tidak wajar.
The needs of English for entrepreneurship students in the university level: The entrepreneurial role models’ prespective
Authors: Rifah Lailatul Rifah , Shanti Mardhatillah , Sabilah Fardini
Published: June 2023

The role of strategy was retained by universities to shape the quality of human resources to face the problems and challenges in the 21st century which linked to master both hard skills and soft skills. The main reason for analyzing the needs of entrepreneur from the role models to face industrial revolution era was the evolution of the need for college students graduate to be able to survive and compete with others. This research focused on the practitioner’s perspective on English mastery as one of the important parts of soft skills that should be mastered by the entrepreneurship students. Observation and in-depth-interview with five subject research used in this study in the qualitative method. Yin method used to analyze the data which included compiling, disassembling, reassembling, interpreting, and concluding the data until the saturation was achieved. This study reported that the ability to master English as a business language such as product description, presentation, negotiation, conversation, and emailing are very important to the entrepreneurship students. From studying the entrepreneurial role models, it is believed to represent sources of real inspiration and motivation to become successful entrepreneurs in the future.
The Contextual Origin of Ibn Taymiyyah's Thought on Jihad
Authors: Maghribi Hamdan , Matlail Fajar Abbas Sofwan , Alfina Hidayah
Published: June 2023

Since the 1980s until today, Aḥmad ibn Taimiyyah (d. 1328) has been one of the most quoted medieval scholars by jihadists. From ‘Abd al-Salām Faraj (d. 1981) to Osama bin Laden and his al-Qaeda. Ibn Taimiyyah is frequently cited to justify their doctrine. Ibn Taimiyyah’s fatwa is used to declare a legitimate leader of a country an apostate for not fully implementing the shari’ah and obligating every Muslim to jihād against him, classifying war zones (dār al-ḥarb) and requiring emigration (hijrah) from them, and permitting suicide bombings in the name of jihād. This article examines jihadists’ understanding of jihād as well as Ibn Taimiyyah’s jihād fatwas, specifically the three anti-Mongol fatwas and the Mardin fatwa, which are frequently cited by jihadists. This article addresses two major issues: first, it discusses Ibn Taimiyyah’s three anti-Mongol fatwas, as well as their citation and interpretation in jihadist fatwas; second, it examines the Mardin fatwa, which is always used as justification for jihad against the legitimate government. The article finds that some of the radicalists’ jihād doctrines quote directly from Ibn Taimiyyah’s jihād fatwas, particularly the three anti-Mongol fatwas and the Mardin fatwa, but most of the fatwas cannot be associated with Ibn Taimiyyah when approached holistically. The article also notes that Ibn Taimiyyah’s jihād doctrine is only partially quoted and ignores the majority of fatwas that are closely related to the theme of jihād, such as the concepts of hijrah and critical loyalty to the government. This article also identifies Ibn Taimiyyah’s jihād fatwas as being more frequently cited to legalize the interests of jihadist groups in justifying their acts of terror while ignoring the historical and political contexts that surround them.
ARCHAEOLOGICAL ANALYSIS OF THE ARCHITECTURE OF THE OLD MOSQUE IN ULEE KARENG - BANDA ACEH
Authors: Safrizal Safrizal
Published: June 2023

This study aims to analyze the architecture and its ornament of the old mosque in in Ulee Kareng – Banda Aceh. This old mosque is also known as the Masjid Tuha Ie Masen or Masjid Tuha Ulee Kareng.  This study uses a qualitative approach through the descriptive analysis method. The research findings show that the shape of the Tuha Ie Masen Mosque building has undergone a change from its original form. There are several parts that have been renovated, including the roof, floors, and walls. The architectural form of the Tuha Ie Masen Ulee Kareng Mosque tends to be the same as that of old mosques in Indonesia. Archaeologically, the architectural form of the Tuha Ie Masen Mosque has similarities with the Tengku di Anjong Mosque and the Indrapuri Mosque. Meanwhile, when referring to the shape of mosque buildings outside Aceh, the Tuha Ie Masen Mosque also has similarities with mosques in the Java region, one of which is the Mosque of Demak. This can be seen from the shape of the roof, which has a terraced shape. As for the ornament, there are floral, geometric, and Islamic calligraphy motifs that are carved on several parts of the mosque.
Characterization of bacterial pathogens in Muga silkworm, Antheraea assamensis Helfer (Lepidoptera: Saturniidae)
Authors:   Seri-biotech Research Laboratory, Central Silk Board, Ministry of Textiles: Govt. of India, Bangalore-560 035, India, Subrahmanyam G. , Das R. ,   Central MugaEri Research and Training Institute, Central Silk Board, Ministry of Textiles, Govt. of India, Lahdoigarh, 785 700, India, Debnath R. ,   Seri-biotech Research Laboratory, Central Silk Board, Ministry of Textiles: Govt. of India, Bangalore-560 035, India, Chutia M. ,   MugaEri Silkworm Seed Organization (MESSO), Central Silk Board, Guwahati-781 028, India, Ponnuvel K.M. ,   Seri-biotech Research Laboratory, Central Silk Board, Ministry of Textiles: Govt. of India, Bangalore-560 035, India, Sathyanarayana K. ,   Central Tasar Research and Training Institute, Central Silk Board, Ministry of Textiles: Govt. of India, Ranchi- 835 303, India
Published: June 2023

Aim: To identify and characterize the bacterial pathogens associated with bacteriosis in muga silkworm, A. assamensis. Methodology: The mid gut of diseased silkworm, A. assamensis was dissected and bacterial pathogens were cultured. Bacterial pathogens were identified by 16S rRNA gene sequencing. Insect bioassay studies were conducted to understand the pathogenicity of bacterial isolates. Results: Bacterial pathogens were identified as Pseudomonas aeruginosa and Bacillus mycoids. Under laboratory conditions, approximately 70% mortality of A. assamensis larvae was due to P. aeruginosa, while 50% larval mortality was due to B. mycoids. Interpretation: P. aeruginosa was relatively more pathogenic to A. assamensis than B. mycoids. Further, a graph on disease progression was developed to understand the trajectory of bacteriosis in A. assamensis. Key words: Bacteriosis, Disease progression, Muga silkworm, Pseudomonas sp., 16S rRNA sequencing