bluuebunny/crossref_metadata_2025 huggingface dataset:
Security Awareness in Iot for Industrial Applications Using Blockchain
Authors: Radha D. , Kavitha Dr. M.G
Published: June 2023

Abstract: The internet of things is the ability to mechanically transfer knowledge over a network. IIoT has been wide enforced in industries like manufacturing and F&B. To meet the difficult paradigms of wireless device networks like Energy potency and accommodative mechanism, the device nodes are increased with IoT support. IoT allows streamlining of information that may manage and monitor the industrial activities within the sensing space. Security issues arise within the space wherever IoT is used. There is a need for a information sharing system which should be directly implemented on the required field of the IoT system. The functions to be performed between the individual and the IOT system are generated as a set of functions in the IOT information sharing system. In order for the users to share the transactions within the system a storage database called a blockchain is used, this blockchain stores all the processed transactions and keep them safe from any adversaries. These information’s are stored and are available for each and every user or the nodes in the network. These informations are stored in the form of a public ledger which in turn can be easily modified and restored by all the user that are using ths system. as the intermediate proxies are used as a result secutity issues with the CoAP messages will rise which can be nullified by the use of Object Security of CoAP (OSCoAP) an IETF draft
Using Mixed Reality Application for Super Market: A Case Study
Authors: Chavan Rutuja Balasaheb , Sonkamble Dr. Sulochana , Auti Dr. Nisha
Published: June 2023

Abstract: Augmented Reality and Virtual reality applications are not a new thing in today’s era and are getting popular day by day. Mixed reality is where physical and virtual environments are combined to give life like experience to the customer. Due to user friendly nature of the mixed reality applications, they are mainly developed for end user’s. Supermarkets are frequently visited and crowded place many due to market competition store try to churn in customers with exciting offers and discounts but due to large variety and large quantity of the products combined with different brands there is so much information which gets lost as intended users don’t get to know products which they require due to shelf arrangement and not knowing location of the products to the user leads to loss of the super market. This paper focuses on how mixed reality can be applied in super market environment to help customers find required products and provide inherent user experience to the end user.
Traffic Volume Analysis & Solutions of Dharmaraj Chowk, Akurdi, Pune
Authors: Deshmukh Prof. Rohit
Published: June 2023

Abstract: Intersection is not only the node of urban road network, but also the key point affecting the operation of the traffic of the whole region. In order to improve the traffic operation efficiency of a signalized intersection, this paper takes Dharmaraj Chowk unsignalized intersection as centre of the project on the present situation, three methods were used to optimize the signal timing of the intersection, including only designing the signal timing of the current intersection, designing the change of the signal timing of the whole line and changing the proportion of different types of drivers. The simulation is carried out by Arduino software. The results show that the traffic operation efficiency can be improved conspicuously by changing the signal timing at the current intersection. By changing the signal timing of the whole trunk line, the traffic operation efficiency can be improved obviously. By reducing the proportion of conservative drivers and increasing the proportion of progressive drivers, the traffic operation efficiency can be improved.
Sustainable Development of Structure Using Alccofine
Authors: Sharma Manav , Pawar Harshavardhan , Malwadkar Kunal , Chavan Prof. A.A.
Published: June 2023

Abstract: Due to its extraordinary adaptability as a construction material, concrete is the single most utilised produced substance on earth, with an annual production surpassing 2 billion metric tonnes (Crow 2008). The damaging impact on the environment caused by the manufacture of concrete's components is one disadvantage as a construction material. These negative effects can be reduced by using alternative/green ingredients in concrete in place of Portland cement and natural aggregates. Any construction project's overall cost directly relates to the amount of concrete utilised in the project. The largest energy- and environmentally-demanding ingredient in traditional concrete is Portland cement. In the process of making it, fuel is burned to heat the raw materials to about 1,500°C, which decarbonizes the limestone. Due to fuel combustion and decarbonization, 0.81 kg of CO2 is emitted for every kilogramme of cement during this process (Hendriks et al. 2000).The most substantial single material component in the constructed environment is often concrete. Significant environmental and financial benefits might be realised if the embodied energy of concrete can be decreased without compromising performance or raising costs. The main ingredients of concrete are Portland cement, aggregate, and water. Although Portland cement generally only makes about 12% of the mass of concrete, it is responsible for 93% of the total energy contained in concrete and 6–7% of global CO2 emissions (Mehta 1998). There are a lot of papers available, replacing cement with In this study, the strength of concrete is examined, and the costs of OPC concrete and concrete with ALCCOFINE are compared. Silica fume is typically recommended as the ideal cement extender in high performance concrete applications where high strength and low permeability are the primary criteria. Despite the fact that silica fume is known to promote durability, the increased water content in concrete frequently negates its addition.
Prediction of Heart Disease using Machine Learning Techniques
Authors: Kaushik Pranshul , Tiwari Richa , Mohan Prateek , Singh Nishika , Singh Rajshree , Kumar Amit
Published: June 2023

Abstract: Cardiovascular diseases account for approximately 30% of global deaths, with a significant number resulting from delayed diagnoses. The challenge arises when addressing this issue through data analysis. To address this, the adoption of Machine Learning Techniques has become prevalent, and it was also the chosen approach in our study. Our research paper presents a novel classification model developed after extensive stages of pre-processing. The prediction model incorporates diverse feature combinations and utilizes well-established classification techniques. The selection of these techniques was based on a meticulous comparison of their respective accuracy levels. Our ultimate objective is to achieve the highest level of accuracy when compared to existing models in this domain. By leveraging the power of data analysis and employing advanced machine learning methodologies, we aim to enhance the early detection and prediction of cardiovascular diseases. This can potentially contribute to a significant reduction in mortality rates and pave the way for more effective healthcare interventions in the field of cardiovascular health.
Qualitative and Quantitative Risk Assessment through IISRA Framework
Authors: Dixit Keerti , Singh Dr. Umesh Kumar , Pandya Dr. Bhupendra Kumar
Published: June 2023

Abstract: Information and communications technology (ICT) has expanded commercial potential beyond comprehension and has merged completely with organizations. In addition to its many advantages, ICT has disadvantages, such as cybersecurity risks, vulnerabilities, and a lack of adequate administrative access control that cybercriminals might take advantage of. Organizations are becoming more dependent on information security as a result of potential hazards brought on by advances in information technology, each of which has a different critical level based on its likelihood of happening and potential consequences. Methodologies for evaluating information security threats can be either quantitative or qualitative, depending on the Information outcome of their assessment. It is clear that both of the aforementioned choices have a number of fundamental flaws. In order to overcome them, this research paper focused on developing an Integrated Information Security Risk Assessment (IISRA) Framework that would be both more accurate and adaptable because existing approaches are frequently inappropriate and ineffectual due to the ongoing appearance of new sources of risks.
Development of Hazelnut Powder Fortified Ragi Cookies
Authors: Kumar Yashwant , Ariya Nishant Kumar , Khan Dr. Md. Khalid , Swain Dr. Satyananda
Published: June 2023

Abstract: Baking Industry is considered as one of the major part of food processing in India. Bakery products have become popular among different sections of the population due to increased demand for convenience foods. Cookies among the bakery products are most important in the world. These are an important food product used as by children and adults. Cookies differ from other baked products like cakes and breads. Because of low moisture content which ensures that they are free from microbial spoilage and confer long shelf life in the product.
Fabrication For Forarm Energy Generation
Authors: Balpande Nimesh , Motghare Amit , Ghule Lokesh , Shende Madhur , Gotekar Prof. Sandesh
Published: June 2023

Abstract: In recent years, an increasing concern of environmental issues of emissions, in particular global warming and the limitations of energy resources has result din extensive research into novel technologies of generating electrical power. Generating electricity in present there is a shortage of fossil fuel, oil, gas, etc. burning of these fuels causes environmental problem like radio activity pollution, global warming etc. So that these (coal, oil, gas) are the limiting resources hence resulting new technology is needed for electricity generation, by using thermoelectric generators to generate power as almost promising technology and environmental free and several advantages in production.
Student General Performance Prediction Using ML Algorithm
Authors: Pachouly Shikha
Published: June 2023

Abstract: We will start to examine and categorise the data once we have obtained the required information using our surveys. This plan involves locating data patterns and trends that can be leveraged to create powerful machine learning models. The accuracy, recall, and precision of these models will then be tested to ensure that they are reliable and effective. They will then be developed using a variety of techniques. This would require meticulous attention to detail when analysing datasets as well as a thorough understanding of the advantages and disadvantages of various machine learning techniques. Our ultimate goal is to develop machine learning (ML) models that accurately predict events using the data we have collected, providing insightful knowledge about our area of interest. We are confident that we can achieve this goal and significantly advance the fields of machine learning and data analysis by carefully planning and carrying out our work. For example, this technique could be used to predict how well students in a particular school district will perform academically. By collecting information on factors such as their emotional state and extracurricular activities in addition to more conventional data like grades and test results, we could develop ML models that precisely forecast which children are at risk of falling behind and how to support them. Which will enable us to identify the variables influencing students' success or contributing to their poor performance. This could make it easier for teachers to provide more individualised support for students and improve their overall academic performance
Automatic Street Light
Authors: Savale Vaishali
Published: June 2023

Abstract: Traditional street lighting systems consume a significant amount of energy, leading to increased costs and negative environmental impacts. The demand for energy-efficient and cost-effective lighting solutions for streets and highways has increased in recent years. The given project focuses on to manage the amount of electricity used in public areas and to reduce labor. The research paper presents the design and working of an automatic street light system that uses LDR which detects the intensity of light and according to that it adjusts the lightening. The system decreases the costs by only lighting the areas where it is needed. The given paper offers a sketch of the different types of components used in the system such as LDR and microcontroller during day and night. The paper presents the results of experiments conducted to evaluate the performance of the system. The results showed that the system was able to accurately detect the intensity of sunlight and adjust the lighting accordingly. Ultimately, the paper focuses on the potential benefits of the system which includes improved safety for vehicles and reduced energy consumption. It also focus on some of the challenges that need to be addressed to deploy the system on a larger scale, such as the cost of the sensors and the need for maintenance. Overall, this research paper highlights on the feasibility and effectiveness of using automatic street lights controlled by a microcontroller to improve energy efficiency and reduce costs in urban areas
Assessment of Sanitation Facilities and Combating Health Issues in Rural Area: A Case Study of Polasara Block, Ganjam, Odisha
Authors: Patnaik Ankita
Published: June 2023

Abstract: This paper aims to assess existing sanitation issues in Polosara, focusing on toilet infrastructure, service delivery, health impacts, and environmental consequences. Through primary surveys and stakeholder consultations, 200 samples were collected. The analysis compared behavioural patterns among three sub-groups: HTU (toilet users), HTNU (toilet owners but not using them), and those without toilets. The study derives an overall ranking index to identify factors influencing toilet usage and provides recommendations to address issues faced by vulnerable sub-groups in the village area.
Image Denoising Using Python and Machine Learning
Authors: Raj Akash
Published: June 2023

Abstract: Image denoising is a fundamental task in image processing and computer vision, aimed at reducing noise while preserving important image details. Traditional denoising techniques often struggle to effectively remove noise while preserving fine details, especially in high-noise scenarios. In recent years, machine learning approaches have gained popularity for image denoising tasks, leveraging their ability to learn complex patterns and features directly from data. The denoising process begins with the acquisition of a noisy image, which is then preprocessed to enhance its features and reduce artifacts. The preprocessed image is fed into the trained deep learning model, which employs convolutional neural networks (CNNs) to learn the underlying noise patterns and predict the corresponding denoised image. The model is trained using a combination of loss functions, such as mean squared error (MSE) and perceptual loss, to optimize the denoising performance while preserving image details. To evaluate the proposed approach, extensive experiments are conducted on various benchmark datasets and compared against state-of-the-art denoising methods. Quantitative metrics, such as peak signalto-noise ratio (PSNR) and structural similarity index (SSIM), are used to measure the denoising performance. The results demonstrate that the proposed method outperforms existing techniques in terms of denoising quality, preserving fine details, and handling different noise types and levels.
Smart Attendace System Using ML
Authors: Manasali Prof. Ganesh , Deshmukh Aishwarya S , N Bhagyalakshmi S , K Chaitra V , Das Janhavi V
Published: June 2023

Abstract: The world is changing, and automatic face recognition (AFR) technologies have advanced greatly. Smart Attendance with Real-Time Face Recognition is a practical method for managing the student attendance system on a daily basis. The technique of recognising a student's face for collecting attendance using facial biometrics based on high-definition monitor footage and other information technology is known as a face recognition-based attendance system. In my face recognition project, a computer system will be able to quickly and accurately find and recognise human faces in pictures or videos being taken using a security camera. Many algorithms and methods have been created to enhance facial recognition ability, however deep learning is the idea that will be used in this case. It assists in turning the video frames into photos so that the student's face can be quickly identified for their attendance and the attendance database can be quickly updated automatically.
Designing an Efficient Infusion Device Management Using .Net Framework (IQ Enterprise Gateway)
Authors: K Guruprasad , S Dr. Rajashekar Murthy
Published: June 2023

Abstract: There are currently no remote monitoring or control options available for intravenous (IV) fluid administration devices. An intelligent infusion pump system for autonomous and remote drug management and monitoring is presented in this study. The flow rate (measured in drops per minute) and infusion-interruption issues were remotely monitored using wireless data transmission to users using computer-based apps. The results of this investigation revealed no distinction between the manual and automatic counting readings. Additionally, the technology can alert users about blocked lines and empty bottles. The study's findings suggest that the prototype might be improved (in terms of features and design) and tested for efficacy and consistency in actual clinical settings.
Solar Powered Pump Controller for Agricultural Application: Design, Topology and Algorithm
Authors: Haque Anwarul M.
Published: June 2023

Abstract: This research paper presents the design and application of a solar pump controller specifically tailored for agricultural purposes. The controller is developed with the objective of harnessing solar energy efficiently to power irrigation systems in a sustainable manner. The design process involves careful selection and integration of key components, such as solar panels, inverters, and control circuitry, to ensure optimal performance. The controller typically includes a maximum power point tracking (MPPT) algorithm, which enables it to extract the maximum power from the solar panels, even under varying weather conditions. Safety mechanisms are also incorporated to safeguard the system against voltage fluctuations, overcharging, and other potential risks. The application of the solar pump controller in agriculture offers numerous advantages. By eliminating the reliance on grid electricity, it reduces operational costs and contributes to environmental sustainability. The controller enables precise control over water delivery, thereby enhancing irrigation efficiency and conserving valuable water resources. Moreover, it enhances system reliability and longevity by preventing damage caused by electrical irregularities and voltage fluctuations. Extensive field tests were conducted in agricultural settings to evaluate the performance of the controller under various conditions. The results demonstrate significant energy savings and improved crop yield, highlighting the optimized water management facilitated by the solar pump controller. Overall, this research contributes to the development of a reliable, cost-effective, and environmentally friendly solution for agricultural irrigation systems.
Foot Step Power Generation
Authors: Kudalkar Prof A.A.
Published: June 2023

Abstract: The aim of these project is to The demand for electrical energy is expected to rise steadily in near future. Contemporary methods of generating electrical power are harmful to the environment. Footstep power generation is one of the sustainable electric energy generation technique which is environment friendly
Conversion of NLP to SQL Using Machine Learning Approach
Authors: Khaire Ms. Sneha. A.
Published: June 2023

Abstract: Now days data is increasing rapidly. There are so many new database tools and technologies are rowing, therefore we can store large data, but the problem is that the technology or an interface which can process data and display the data as per the user request is not familiarized with many of the people. It means many people don’t have proper knowledge of handling database. Actually, NLP to SQL conversion is part of machine learning. The main idea of NLP to SQL conversion is to generate SQL query from natural language. This technique is useful for accessing data from database without having prior knowledge of SQL. This technique can be used by many common people. In this system input is simple English text and query is generated by using POS tagger in python. In this project we are going to implement a system which will generate SQL query from natural language.
Understanding the Role of E-Governance Challenges in Evacuation Response for Building a Safe and Secure Community
Authors: Prusty Ms. Supriya Priyadarshini
Published: June 2023

Abstract: This study aims to understand the role of e-governance services for evacuation response using advanced technologies. Disasters are an inseparable part of human life and have always afflicted civilizations. In a cyclone prone area like Balasore district of Odisha, people are facing a lot of problems in their livelihoods before and aftermath of the disastrous situations. Even with the advent of new technologies, natural hazards are still causing environmental destruction, human suffering, and social and economic disruption. There is necessity of utilizing technologies to facilitate vital information integration and sharing among disaster responders and organizations. While geographic information systems (GIS) can provide information on the static locations of critical infrastructure and evacuation routes, they do not provide the dynamically changing locations of things and people on the move. In contrast, radio frequency identification (RFID) wireless network technology can automatically identify and track the movement of assets (i.e., fire engines, ambulances, and rescue workers) and vulnerable citizens on the move (i.e., the elderly and the disabled), and hence providing local governments and communities with real-time information and enhanced decision-making capabilities, during chaotic disaster response operations (i.e., evacuation). So, we need to understand the egovernment services needed to build regional disaster preparedness, as an integral part of e-government development policy.
Automatic Synthesis of Realistic Human Faces from Text using GANs
Authors: Jivarajani Kushal
Published: June 2023

Abstract: The field of image generation has witnessed significant advancements in recent years, particularly through the application of Generative Adversarial Networks (GANs). Many capable generative adversarial networks (GANs) models have emerged in recent times which help in synthesizing, generating real-like images and playing around with images using text. However, most existing tasks are limited to generating simple images such as flowers from captions.This project aims to create a deep learning based model and a system that tries to generate realistic human facial images from a given textual description. The project explores the utilization and applications of GANs, and uses a particular type like VQGAN. In this work, we extend this problem to the domain of face generation from fine-grained textual descriptions of the human face, e.g. “A person has curly hair, an oval face, and a mustache”. To expedite this process, the project uses VQGAN that is conditioned on the given text using a language conditioning model called CLIP (Contrastive Language-Image Pretraining). The model is trained on the CelebA image dataset. Overall, the project seeks to improve the speed and accuracy of mapping faces to text by leveraging advances in deep learning and image generation. We broaden this objective in our study to the less-explored area of face generation using precise textual descriptions of faces.
Automatic Irrigation using Centre Pivot Irrigation System
Authors: Rathod Prof. E. K. , Tamboli Mr. Sarfaraj , Tengale Mr. Manav , Murshetwad Mr. Ritesh , Wandhekar Mr. Sourabh
Published: June 2023

Abstract: In most of the agriculture lands the crops are over watered without checking the soil dampness. This leads to the waste of water resource which can be utilized in some other areas where there is in need of water. The project presents the use of correct soil moisture sensors which helps to ease out the pain to monitor and keep records about the changes in soil moisture. Using the Arduino Uno R3 micro controller with, moisture sensor and temperature sensor, temperature are measured and analyzed. The soil moisture sensor for a certain duration, provides information related to the moisture status of the soil. The Arduino Uno will collect and process the data received from the Sensors. When a threshold moisture level of the soil is reached, the water will supply accordingly. This is essential because water must be provided to the plant at a particular time for a good yield. The primary motivation behind the ventures to keep up soil dampness level so that there is no damage to the harvests. Soil dampness sensors fundamentally utilized for estimating the gauge volumetric water content. We are using center pivot irrigation system for application of our project. This project is highly useful for farmers, Nursery professionals for eradicating traditional or Manual method of irrigation system.
Automated Vermicomposting Using Portable Bin
Authors: Sahoo Biswajit , Mandal Kaustav , Panda Abhisek , Sahu Bodhisatwa , Swain Dr. Satyananda , Mohanty Prof. Gayatri
Published: June 2023

Abstract: 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 with automated controls and real time monitoring, the IoT based vermicomposting bin can simplify the composting process and reduce waste, minimizing the environmental impact. The type of worm which is mostly used for vermicomposting is Red Wiggler (Eisenia Fetida). Overall, the IoT based vermicomposting bin is smart and efficient way to recycle organic waste and produce highquality compost.
Experimental Analysis of Vertical Axis Wind Turbine
Authors: Vijay Mr. Bankar Pratik , Bharat Mr. Jondhale Swapnil , Shamrao Mr. Telang Yash , Lalit Mr. Thorat Tejas , Suresh Prof. Patil Swapnil
Published: June 2023

bstract: The project focuses on Design, Fabrication and Testing of a VAWT (vertical Axis Wind Turbine) with Wind deflectors. The project is an ongoing research project and the phase we carried out was concerned in shifting the design from Darrieus type to Savonius type, which created the necessity of freshly designing all the parts, increasing the torque and rpm of the VAWT by implementing a deflector/guide vane system, make the whole structure portable meanwhile maintaining the project within a very low cost range. The said objectives can be are to be achieved by manipulating the knowledge of Design of Machine element, fluid dynamics, Energy Technology and CFD analyzing. A major concern was fashioning the design to enable the VAWT to operate with a maximum efficiency. Several parameters were analyzed with respect to wind speed to determine the best value for each parameter which would give the highest efficiency, thus ensuring the maximum ultimate performance of the VAWT. The parameters that were considered for analyzing are the number of blades the rotor should have, positioning of the blade (i.e. the distance from the shaft to blade and the angle the blade creates with the shaft), the shape of the deflector, and the angle of the deflector so as to generate the highest efficiency. Above parameters were analyzed using ANSYS/Fluent software package and the ultimate design was produced in accordance with the obtained results.
Need Based Design and Topology of Power Supply for Industrial Instruments
Authors: Haque Dr. Anwarul M. , Shrivas Tushar R.
Published: June 2023

Abstract: Process control instruments plays decisive role in regulation and monitoring like control actions which requires efficient circuit analysis and different input and output power supplies to make it connectable in panels or used separately. This paper gives a comprehensive study of power supply used in instruments, based on power electronics principle used to improve circuit performance. Furthermore, it also includes analysis for energy conversion, switching devices, control methods, conduction modes and protection mechanism to make the supply efficient. Supply topologies i.e., Linear& Switched Mode Power supply are used as per the requirement of instruments. Both the supplies include different challenges and solutions to overcome losses and make the supply efficient. The analysis includes various parameters like voltage, current, power loss, waveform, efficiency, switching, feed-back and ringing. These parameters affect the whole supply if problem occurs in any of them.
Value Addition of Beetroot
Authors: Jena Arghyarupa , Pasa Dibyadisha , Pradhan Tejaswini , Khan Md. Khalid
Published: June 2023

Abstract: Beetroot (Beta vulgaris) is a root vegetable packed with nutrients and medicinal value. Beets are rich in fibers, folate (Vitamin B9), manganese, potassium, iron, vitamins A and C. It is an immunity booster that gives a wonderful source of iron. It protects against heart diseases. It treats & cures boils & abscesses. It also has unique phytoconstituents having therapeutic importance such as anti-oxidant, antidepressant, antimicrobial, anti-inflammatory, diuretic, and expectorant. But beetroots are not available in every season. So, there is a requirement to preserve this highly nutritious crop for the round-the-year availability of consumers. So, the objective of the present study was to develop some value-added storable products from beetroot and assess their shelf life. In our experiment, we prepared 3 value-added products from beetroot viz. beet jam, beet pickle, and beet powder, followed by their sensory evaluation for appearance, taste, flavour, texture, aroma as well as overall acceptability. Beetroot jam was found to be the best product which was highly accepted by the panellists. Hence, beetroot jam can be explored for the commercial market
Study of Moringa Oleifera Leaf Fortified Pasta on its Cooking Quality and Sensory Analysis
Authors: Pal Namita , Parida Pratiswa Priyadarshini , Behera Snehamayee , Khan Dr. Md khalid
Published: June 2023

Abstract: The studies aimed to investigate the effect of incorporating Moringa oleifera leaf powder into pasta on its cooking quality and sensory attributes. Moringa oleifera, a highly nutritious plant, is known for its rich content of vitamins, minerals, and antioxidants. In this research, dried Moringa leaves were processed into a fine powder and added to the pasta dough during preparation. The cooking quality parameters evaluated included cooking time, water absorption, and cooking loss. The sensory analysis involved a panel of trained individuals who assessed various attributes such as colour, taste, texture, and overall acceptability of the cooked pasta. The study also compared the fortified pasta with a control sample, which did not contain Moringa leaf powder. The results showed that the addition of Moringa leaf powder did not significantly affect the cooking time or water absorption of the pasta. However, it resulted in a slight increase in cooking loss, indicating a potential decrease in pasta firmness. Sensory analysis revealed that the Moringa-fortified pasta had a distinct green colour and a mild herbal taste, which was well-accepted by the panellists. Additionally, the texture of the fortified pasta was found to be slightly different from the control, but still within acceptable limits. Overall, the study suggested that incorporating Moringa oleifera leaf powder into pasta can be a viable approach to enhance its nutritional value without compromising its cooking quality or sensory attributes. Further research may explore different ratios of Moringa powder to optimize the nutritional content while maintaining desirable pasta characteristics.
Kata-kata emotif pengungkap rasa kasih dalam Anak Bajang Menggiring Angin Sindhunata: Perspektif stilistika pragmatik
Authors: Setyaningsih Yuliana , Rahardi Kunjana
Published: June 2023

Ekspresi terhadap objek dapat disampaikan melalui kata-kata yang memiliki daya stilistika untuk mewakili kondisi objek tersebut. Tujuan penelitian ini adalah mendeskripsikan makna pragmatik dari pemanfaatan kata-kata emotif bernuansa makna kasih sayang. Sumber data substantif penelitian ini adalah novel Anak Bajang Menggiring Angin karya Sindhunata yang diterbitkan pada tahun 2010. Data penelitian berupa tuturan tokoh yang mengandung kata-kata emotif bernuansa kasih sayang. Data dikumpulkan dengan metode simak dengan teknik baca dan teknik catat. Selanjutnya, data yang terkumpul diidentifikasi dan diklasifikasikan berdasarkan maksud kata-kata emotif pengungkap rasa kasih. Langkah berikutnya adalah triangulasi data untuk mendapatkan data yang benar-benar valid untuk dianalisis. Analisis data dilakukan dengan menggunakan metode analisis padan ekstralingual dengan mendasarkan pada konteks. Hasil penelitian menunjukkan bahwa ditemukan 10 macam makna pragmatik kata-kata emotif pengungkap rasa kasih sayang. Makna pengungkap rasa kasih tersebut dinyatakan dengan: (1) janji, (2) kekecewaan, (3) kebahagiaan, (4) kesedihan, (5) perasaan haru, (6) ratapan, (7) penyesalan, (8) permohonan doa, (9) belas kasih, dan (10) nasihat.
Narasi keseimbangan di Bali dalam novel Eat Pray Love karya Elizabeth Gilbert
Authors: Jayantini I Gusti Agung Sri Rwa , Umbas Ronald , Arie Suwastini Ni Komang
Published: June 2023

Eat Pray Love adalah salah satu novel laris yang mempunyai ciri kuat dalam hal penggunaan latar tempat. Unsur ini sangat jelas memengaruhi alur cerita. Pulau dewata, Bali, menjadi tempat merepresentasikan kata “love” pada judul novel. Cinta yang ditemukan di Bali dapat diinterpretasi sebagai upaya pencarian keseimbangan (the pursuit of balance) yang tegas dinyatakan dalam 36 episode terakhir novel Eat Pray Love. Tujuan penelitian ini adalah mengidentifikasi struktur naratif dari keseimbangan yang terbangun dalam cerita. Metode kajian tekstual dipadukan dengan analisis diksi dari Keraf dan prinsip keseimbangan hidup berdasar perspektif Tri Hita karana yang memandang kebahagiaan manusia tercipta dari keseimbangan relasi manusia dengan Tuhan, antarmanusia, dan alam. Penelitian ini menemukan bahwa narasi keseimbangan di Bali dalam novel Eat Pray Love adalah (1) keseimbangan hubungan dengan Tuhan, (2) keseimbangan hubungan antarmanusia, dan (3) keseimbangan hubungan dengan alam. Ketiga keseimbangan dinarasikan secara dominan melalui dua cara. Pertama, diksi berupa kata umum, kata khusus yang memiliki daya sugesti, dan kata abstrak untuk menunjukkan konsep yang hidup dalam pikiran. Kedua, narasi ekspositoris dan sugestif menunjukkan gambaran pencarian keseimbangan di Bali dalam kerangka Tri Hita Karana agar hidup menjadi harmonis. Implikasi penelitian ini adalah bahwa identifikasi suatu nilai dalam novel dapat dilihat dari diksi dan narasi, baik secara ekspositoris dengan pernyataan eksplisit dan narasi sugestif dengan penyampaian secara implisit. Hasil identifikasi dalam penelitian ini dapat menjadi bahan perenungan bagi pembaca sehingga karya sastra bisa berkontribusi dalam memberi pemahaman tentang nilai filosofis yang tumbuh di masyarakat.
Needs analysis-based ESP course design for vocational high school students
Authors: Kamaruddin Abdul , Fitria Nurul , Patmasari Andi
Published: June 2023

The objectives of this research were to find out: (1) the needs of accounting students in learning English at one of the vocational high schools in Donggala; and (2) the suitable English course design for vocational high school students. This research used a descriptive qualitative research method by involving twenty-two students majoring in accounting. The research instruments were google form questionnaires and phone interview that each instrument contained open-ended and close-ended questions. The data of this research were analyzed in four stages; namely coding, data reduction, data display, and drawing conclusions or interpretations. The researchers found that the needs of accounting students who participated in the research in learning English were in accordance with the teaching concepts of English for Specific Purposes. The language skill they needed the most was speaking. The students lacked vocabulary, pronunciation, and self-confidence to speak in English. In line with the students’ lack, the students would like their speaking skill to be developed. Based on the result of the students’ needs analysis, the researchers suggested a set of English course guidelines which consisted of four components. The first was the course rationale that covered target learners, course content, and course objectives. The second component was course materials related to accounting and about daily life. The third was teaching method and learning activities that most of the students preferred discussions and practices. The last component was assessment which consisted of a portfolio, journal, interview, observation, and self/peer assessment. The teacher could use one assessment only or more in one time for assessment based on the learning situation and the students’ needs.
Budaya patriarki dalam cerita rakyat Jawa Timur
Authors: Sugiarti Sugiarti
Published: June 2023

Cerita rakyat menjadi sebuah ruang berlangsungnya konstruksi gender dalam sudut pandang masyarakat Indonesia. Di dalamnya memuat nilai-nilai yang menjadi ideologi masyarakat termasuk-tokoh-tokoh cerita dalam menyampaian pesan. Penelitian ini bertujuan untuk menjelaskan pola budaya partiarki dalam cerita rakyat Jawa Timur dan menjelaskan faktor terbentuknya pola budaya patriarki dalam cerita rakyat Jawa Timur. Pendekatan yang digunakan adalah feminisme untuk mengurai persoalan budaya patriarki dalam cerita rakyat Jawa Timur. Adapun sumber data berupa kumpulan Cerita Rakyat Nusantara terbitan Adicita Karya Nusa Cetakan 2 September 2015 khusus cerita rakyat Jawa Timur. Data penelitian berupa sekuen cerita dalam bentuk kalimat atau paragraf yang menggambarkan tentang nilai-nilai patriarki. Metode yang digunakan adalah deskriptif yaitu mendeskripsikan fenomena nilai-nilai patriarki dalam cerita rakyat. Teknik pengumpulan data penelitian ini menggunakan studi dokumentasi dengan cara pembacaan kritis dan kreatif. Teknik analisis data penelitian dilakukan dengan cara memahami makna yang ada dalam teks secara mendalam dan mencermati serta mengekplorasi pesan (isi). Hasil penelitian menunjukkan bahwa pola budaya patriarki dalam cerita rakyat Jawa Timur menempatkan tokoh laki-laki pada posisi penting dalam cerita, sehingga memperoleh peluang serta akses yang luas dalam cerita. Adapun beberapa faktor terbentuknya pola budaya patriarki dalam meliputi: (1) faktor ekonomi, (2) faktor budaya, dan (3) pola pemikiran masyarakat. Ketiga faktor tersebut menyebabkan tokoh perempuan memiliki ketergantungan yang tinggi terhadap kaum laki-laki. Kesimpulan budaya patriarki dalam cerita rakyat Jawa Timur tokoh laki-laki berdaya penuh, sedangkan tokoh perempuan sedikit berdaya dari sisi pengambilan keputusan sehingga perempuan mutlak dipandang sebagai feminin dan laki-laki maskulin berdasarkan konstruksi budaya patriarki.
ISLAMIC EDUCATION THOUGHTS OF KH. AHMAD DAHLAN AT THE YAMISA ISLAMIC BOARDING SCHOOL IN 1968
Authors: Ali Alimuddin
Published: June 2023

Islamic education is an educational system based on the Qur'an and Sunnah. Kh. Ahmad Dahlan in his thoughts on Islamic education based on the Qur'an and Sunnah. This must be accompanied by other sciences or what is commonly referred to as other general sciences in order to create individuals who are rich in knowledge outside of religious knowledge. The education system at the Yamisa Islamic Boarding School, despite applying the teachings of the Qodariyah Naqsabandiyah order. But in practice in line with Kh. Ahmad Dahlan in which the Yamisa Islamic Boarding School teaches its students about religion and includes other knowledge so that the students have broad knowledge. The methodology used in making this article is to use historical research methods which consist of several stages, namely heuristics, criticism, interpretation and historiography. The research method in this article uses the historical method. The first source collection was to find information and collect data from a book entitled Kh. Ahmad Dahlan (1868-1923), Rattan the Kiai: The Life Story of Mama Uyeh. Sources from the internet such as e-books, journals entitled understanding of education, Islamic Education Thought Perspective Kh. Ahmad Dahlan (1869-1923) and Kh. Hasyim Asy'ari 1871-1947(M): Comparative study in the concept of reforming Islamic education in Indonesia. and other articles such as the thesis entitled Islamic Education Thought According to Kh. Ahmad Dahlan. As well as interviews conducted with Mr. Heri Haris Mawardi as the administrator of the Yamisa boarding school. Islamic Education KH. Ahmad Dahlan at Yamisa Islamic Boarding School, although in practice there are differences in his flow because of NU and Muhammadiyah. However, in terms of the education system, it is not much different, because the thought of Islamic education at the Yamisa pesantren also applies the same thing as KH. Ahmad Dahlan in his education system. Namely, Yamisa Islamic Boarding School also implements a non-formal education system so that the education system can keep up with the times with openness to general knowledge so that students gain knowledge related to religion and the public.
TULAK PALONG TRADITION IN LAYEUN COMMUNITY, ACEH BESAR
Authors: Natasya Andra , Ismail Sanusi , Abubakar Bustami
Published: June 2023

This study aims to examine the symbolic meaning of the tulak palong tradition among the people of Layeun-Aceh Besar. Palong is a type of traditional boat used by fishermen on the coast of Aceh Besar. This study uses a qualitative approach in which data is collected through observation, interviews, and documentation. The informants in this study were panglima laot, fishermen, and the local community. The results of the study show that the tulak palong tradition has been practiced in this area since 1970. The tulak (refusal) process is only carried out the first time when the palong is about to sail, and then the palong will continue to be at sea until it needs to be renovated, usually in 2 to 5 years. In the implementation of tulak palong, there are social values, including mutual cooperation and caring for others. In addition to social values, in the process of practicing tulak palong, there are also symbolic meanings such as beauty in decorating the palong, brotherhood among the community.
PRESERVING THE TRADITION OF KASAB CRAFT IN NAGAN RAYA DISTRICT
Authors: Ayuda Sri , Husda Husaini , Asmanidar
Published: June 2023

Kasab or kasab cloth, is a traditional textile embroidered with various types of local motifs in Keude Blang Village, Seunagan Timur District, Nagan Raya Regency, Aceh. However, the cultural richness of this society has never been scientifically researched. Therefore, the purpose of this study was to find out the types of motifs and the preservation of objects by the community and local government in that area. This is qualitative research, data collection involved observation, interviewing, and documentation. The results showed that kasab is one of the traditions for embroidering motifs on traditional textile surfaces. The use of gold thread in the components of traditional ceremonies not only provides aesthetic value, but also complements the meaning conveyed through symbols as a medium of public communication. The kasab motifs that are always embroidered in the Keude Blang Ara Village community include the bungong uret, bungong meulu, bungong pucuk pakis, and pucuk rembong (bamboo flower) motifs. Kasab preservation in Keude Blang Ara Village continues to be carried out by the local community and supported by the government. Preserving local culture (kasab) involves creating dynamic expressions and adapting to changing developmental situations to preserve cultural, artistic, and traditional qualities. However, with the support of the government, kasab has become something interesting, so that nowadays the demand for producing kasab is increasing.
Computation of Neutron Coefficients for B2O3 reinforced Composite
Authors: ORUNCAK Bekir
Published: June 2023

Radiation is an important phenome and has been used in many different fields since its discovery. Although there are different types of radiation, neutron is one of the most interesting types as it is an uncharged particle. This character made neutron is more dangerous radiation types than others and thus protection from neutron effect requires more care. In this paper neutron attenuation coefficients of B2O3 reinforced composite have been investigated using Phy-X/PSD software.
Host selection behavior of tasar silkworm, Antheraea mylitta (Drury) for oviposition
Authors:   Basic Seed Multiplication and Training Centre, Kharsawan-833 216, India, Thirupam Reddy B. , Chandrashekharaiah M. ,   Basic Tasar Silkworm Seed Organisation Central Silk Board, Bilaspur-495 112, India, Mazumdar S.M. ,   Basic Seed Multiplication and Training Centre, Khathikund-814 103, India, Sathyanarayana K. ,   Basic Tasar Silkworm Seed Organisation Central Silk Board, Bilaspur-495 112, India, Chowdary N.B. ,   Basic Tasar Silkworm Seed Organisation Central Silk Board, Bilaspur-495 112, India, Bawaskar D.M. ,   Basic Seed Multiplication and Training Centre, Balaghat-481 001, India, Selvaraj C. ,   Basic Seed Multiplication and Training Centre, Madhupur-815 353, India, Rathore M.S. ,   Basic Tasar Silkworm Seed Organisation Central Silk Board, Bilaspur-495 112, India
Published: June 2023

Aim: Seed production is the backbone of sericulture in India. In order to cater for the increased demand for seed (egg), the already prevailing seed production techniques need to replace with new and robust techniques. Therefore, the present study was designed to understand the oviposition preference of Antheraea mylitta and selected suitable host plants for future improvement of seed production. Methodology: Choice (nylon net cage) and no-choice (earthen cup) experiments were conducted to study the oviposition preference of A. mylitta on Shorea robusta, Terminalia tomentosa, T. arjuna, Ziziphus mauritiana, Careya arborea, Syzygium cumini and Buchanania lanzan. Mated female moths were released freely into the nylon cage to observe their oviposition preference in the choice test. Whereas, half of both fore wings and hind wings of mated female moths were excised and individually placed in an earthen cup for oviposition. The total number of eggs laid on the host plants in both experiments was recorded and analysed. Results: Mated females released freely within the cage have laid the majority of their eggs on the floor and net instead of their host plants. Among the host plants, the highest number of oviposition was recorded on the S. robusta, T. tomentosa and T. arjuna compared to other host plants. The highest number of eggs per moth was observed on T. tomentosa and followed by S. robusta, T. arjuna and Z. mauritiana, and exceeded the numbers of eggs in the control in the no-choice experiment. Interpretation: The study revealed that both S. robusta and T. tomentosa were highly preferred host plants of A. mylitta for oviposition. Therefore, the volatiles or feeding supplements of S. robusta and T. tomentosa may be identified and applied to A. mylitta during rearing and grainage to enhance seed production. Key words: Host plants, Oviposition preference, Sericulture, Tasar silkworm, Terminalia tomentosa