bluuebunny/crossref_metadata_2025 huggingface dataset:
تدابير الوقاية من الآثار النفسية والأخلاقية للتغير المناخي في ضوء سيرة الطيبة ﷺ في سياق المجتمع الباكستاني
Authors: Rasool Hafiz Faiz , Rehman Muhammad Abdul
Published: March 2024

Environmental and climate changes are one of the most important threats that threaten human survival at the local and regional levels. In the Islamic Republic of Pakistan, climate change is a disturbance in the natural climate system and the main reason for it is the distortion of human practices, routines, uses and desires, which include excessive and unnecessary use and waste of natural resources. Like water, food, wood and land. We must, individually and collectively, curb our excessive desires, appreciate the blessings of God, and use things according to our needs. And in the teachings of Islam al-Khalida al-Mishraqa and the deeds of the Prophet, may God bless him and grant him peace, the principles and laws were revealed in the transfer of conditions and events of each age. It is necessary to understand the causes of climate change and do everything possible to prevent it. Scientists and climate scientists provide information about climate change over the past decades through their research. So that the planet can be saved from extreme climatic conditions at the right time. And the damage caused by these changes has a negative effect on human behavior and intelligence, so psychological problems such as depression, depression, anxiety, fear, anger, and inferiority complex arise. These are all the topics of the thesis in the science of al-Nafs al-Bayi. Not only does it study psychology and human behavior, but it also studies the necessary and unnecessary designs in the construction of cities and buildings to determine how the construction decisions affect human personality and behavior. Apart from physical diseases and systemic disorders caused by climate disasters, psychological problems are among the most prominent problems. In the case of deterioration due to house breaking, severe psychological stress, mental stress, depression, anxiety, fear, grief and drowning trauma require many years to return to normal life. And we must ensure that all possible measures are taken in the light of good life ﷺ to protect people from many psychological disorders such as psychological conflict, uncertainty, fear, terror, stress, and depression due to these environmental changes.
Excise Tax, Education, And Income Factors: Impact On Cigarette Consumption
Authors: Wisanggeni Zufar Lutfi , Muchtar Masruri , Sihombing Pardomoan Robinson
Published: March 2024

Tobacco consumption remains high despite its numerous negative impacts. In this study, the author aims to identify the variables influencing cigarette consumption This study aims to identify the variables influencing cigarette consumption. The independent variables include excise tax rates, gross tertiary education enrollment, and per capita income. This research employs a quantitative method utilizing panel data regression in all provinces of Indonesia for 2018-2022. The results indicate that both excise tax rates and per capita income postively impact cigarette consumption. Gross tertiary education enrollment, on the other hand, are the sole variable exhibiting a negative influence on cigarette consumption. This study contributes to existing research literature and offers potential avenues for further investigation.
ACCIDENT AVOIDANCE DUE TO TIRE INFLATION
Authors:   lecturer of electronics and telecommunication department, V.M Prof.(Dr). Sardar
Published: March 2024

Maintaining optimal tire pressure is a crucial aspectthat allows for greater vehicle control and, as a result, increases vehicle and human safety. This study seeks to identify remedies in the event of anomalous tire pressure, thereby ensuring the vehicle's safety. According to the National Highway Traffic Safety Administration (NHTSA), abnormal tire pressure- related collisions result in 660 fatalities and 33,000 injuries each year. The pressure of the tire is checked and monitored to assure its safety, and thus the vehicle's safety. In this project, the pressure and wear and tear on the vehicle's tire are both monitored and quantified. Key Words: Tire and Wheel, air compressor, motor, pressuresensor, microcontroller, alerting
A Robust Predictive Model for Early Detection of Heart Disease using Machine Learning
Authors:   Computer Engineering, Pimpri Chinchwad College of Engineering, Pune, Bujade Om
Published: March 2024

Heart failure is a chronic disease affecting millions worldwide. An efficient machine learning- based technique is needed to predict heart failure health status early and take necessary actions to overcome this worldwide issue. While medication is the primary treatment, exercise is increasingly recognized as an effective adjunct therapy in managing heart failure. This research project aims to develop a robust predictive model for the early detection of heart diseases by leveraging machine learning techniques, with a specific focus on the application of Support Vector Machines (SVM). The growth in technology has improved the information or data which can be extracted from a patient to help pinpoint the cause of illness. Using different number of attributes or data from the medical profile of a patient can predict the chance of a patient developing a heart condition. In simple terms, these attributes are loaded into logistic regression, Decision Tree, Random Forest, SVM, KNN and Naive bayes, that is, Machine learning (ML) algorithms for the analysis and further prediction of heart disease. There are many other techniques, methods used by other researchers. By using this method, the standards in the medical industries are elevated and rose as they can provide better diagnostics and treatment of the patient, resulting in providing an overall good quality service. This has its main focus towards: Using Data analysis, creating prediction Models to provide early detection of Heart Diseases, Also, by creating a reliable method to predict heart disease. Thus, we found that supervised machine learning algorithms can be used to make heart disease predictions with very high accuracy and excellent potential utility. Our proposed research study has significant scientific contributions to the medical community. Key Words: Machine learning, heart failure, cross validations, feature engineering, Naive Bayes, k Nearest Neighbor (KNN), Decision tree, Artificial Neural Network (ANN), Random Forest, Heart Disease.
COLLEGE ENQUIRY CHATBOT
Authors:   Department of IT and CS,   Nagindas Khandwala ,   Mumbai,Maharashtra,India, Gupta Ankita
Published: March 2024

A chatbot is software that is used to interact between a computer and a human in a natural language, as humans chat. Chatbots engage in conversation with users in place of humans and respond to them. The goal of this report on chatbots was to resemble a human being in the way they interact, trying to make the user think he is chatting with another human being. The chatbot application helps students access university-related information from anywhere with an internet connection. This system reduces the work of college administration providing information to students and reduces the workload on the staff to answer all the students' queries. This project aims to develop a college inquiry chatbot that answers any queries posted by students, like college details, course-related questions, location of the college, fee structure, etc. The College Enquiry Chatbot project is built using deep learning algorithms that analyze user’s queries and understand the users' messages. This system is a web application that returns answers to queries. Any individual can simply query the bot. The answers are appropriate to the user's query. The system allows users to query any college-related activities. The user does not have to personally go to the college for an inquiry. The system analyses the question and then answers it for the user. Through the suggestion box, users can also provide suggestions. The system replies using an effective graphic user interface, which implies that a real person is talking to the user. KEYWORDS: Chat bot, Artificial Intelligence, Enquiry, Response, Query.
UNIQUE PROJECT SELECTION METHOD FOR INSTITUTE
Authors:   Student of Poly. Dept. of Computer Technology K.K.Wagh , Nashik, India, Bodke Niraj Shivaji
Published: March 2024

Selecting projects can be a complex task due to the multiple dimensions involved in measuring their impact, especially when there are multiple decision-makers. This paper focuses on a real application of project selection for academic projects, utilizing the opinions of experts through a group decision-making model known as the Topic Selection method. Four types of criteria, including qualitative, quantitative, negative, and positive criteria, are considered for selecting the best project among five options and ranking them accordingly. Additionally, the study utilizes the data from the last five-to-six years to check if any group has already taken up the topic. To achieve this, Support Vector Machine (SVM) Data Mining algorithms are employed. SVMs are chosen for their ability to handle both linear and non-linear data efficiently, making them suitable for this task. By combining the expertise of experts and the power of SVMs, this study aims to provide a robust methodology for project selection in academic settings, considering various dimensions of impact and availability of topics. In conclusion, the project selection process for academic projects requires careful consideration of multiple criteria and the use of advanced techniques such as SVMs for data analysis. By incorporating expert opinions and historical data, the Topic Selection method offers a comprehensive approach to selecting and ranking projects, ensuring that the chosen projects are both impactful and unique within the academic context. Key Words: project selection, academic projects, group decision-making, Topic Selection method, criteria.
IoT and Machine Learning Based Crop Suggestion System
Authors:   Assistant Professor, SBC First grade college for women, Davangere, B M Asst Prof Spoorthi
Published: March 2024

The practise of analysing and extracting meaningful information from enormous amounts of data is referred to as data mining. Data mining is used in a wide range of industries, including banking, retail, medicine, agriculture, and so on. In agriculture, data mining is utilised to investigate the various biotic and abiotic factors that influence crops. Agriculture is India's most important industry, providing the majority of work possibilities. One of the most common issues that Indian farmers confront is choosing the right crop for their soil. As a result, they are experiencing a major drop in output. Precision agriculture has provided farmers with a solution to this problem. Agriculture with pinpoint accuracy Precision agriculture is a modern agricultural strategy that uses research data on soil features, soil types, and crop yield data to recommend the best crop to produce based on site-specific parameters to farmers. Precision agriculture is gaining popularity.
Discovering Logo Identification through Machine Learning
Authors:   Department of Information Technology, University of Mumbai, Falod Pranav
Published: March 2024

Logo detection is the process of identifying and localizing logos within images or videos, involving recognizing specific brand logos and determining their spatial coordinates within the visual content. This task is essential for various applications such as brand recognition, copyright protection, and contextual advertising across fields like social media monitoring, autonomous driving, and market research. Logo detection aids in tracking and analyzing advertisements, making it crucial in marketing and media industries. In this paper, the authors have studied and described the process of Logo detection along with its types and also have discovered the techniques used in various researches that have dealt with Logo detection. This study further paves way for a developing a better logo detection technique by analyzing the use of existing techniques. Key Words: Logo, Detection, Deep Learning, Machine Learning.
Biometry based Exam Door Verification System with SMS Alert
Authors:   Assistant Professor, Department of Computer Engineering,  Sir Visvesvaraya Institute of Technology, Nashik, Maharashtra, India., Mahajan Dr. Rana. S.
Published: March 2024

In the dominion of educational institutions, the security and integrity of examinations are of paramount importance. Traditional methods of verifying student identities using photo ID cards and signatures have proven inadequate in the face of evolving challenges related to impersonation, cheating, and unauthorized access to examination halls. To address these concerns, this project introduces a novel Biometry-Based Exam Door Verification System with SMS Alert, employing STM32 microcontroller technology for advanced security and real-time notifications. The system leverages biometric data, specifically fingerprint recognition, to ensure swift and accurate student identity verification. By implementing the STM32 microcontroller as the system's core, it manages data processing, biometric authentication, and communication functions seamlessly. The inclusion of an SMS alert system enables instant notifications to exam administrators, facilitating immediate responses to student check-ins and potential security breaches. The project reflects a forward-thinking approach to examination security, embracing technological advancements to address contemporary challenges in educational institutions. It offers an innovative and scalable solution for institutions seeking to uphold the integrity of examinations while improving overall administrative efficiency. Key Words: Biometric-Based Exam Door Authentication System, STM32 microcontroller technology, advanced security, real-time notifications, biometric data, biometric fingerprint module, etc.
Assessing DDoS Detection Accuracy through Semi-Supervised Techniques
Authors:   Assistant Professor, Information Technology, Prasad V. Potluri Siddhartha Institute of Technology, J. Dr.SIRISHA
Published: March 2024

Despite the proliferation of advanced Machine Learning (ML) techniques in DDoS detection, this pervasive attack remains a significant menace to the Internet's integrity. Existing ML based DDoS detection methods fall into two categories: supervised and unsupervised approaches. This paper synthesizes insights from existing research endeavors, and enhance DDoS detection through machine learning methodologies, specifically focusing on semi-supervised techniques for analysis purposes. By harnessing the power of semi-supervised ML, we employ a succession of algorithms including Naive Bayes, Support Vector Machines (SVM), and Logistic Regression, focusing on factors crucial for detection accuracy. This paper mainly focuses on assessing various ML algorithms. In summary, this paper presents the potential of semi-supervised ML in augmenting detection accuracy. Keywords— DDoS detection, Machine Learning, SVM, Naïve Bayes, Logistic regression
Analytical exploration of integration of AI in Information Systems
Authors:   Assistant Professor Department of MCA, Trinity Academy of Engineering, Pune, India., upadhya Vibha
Published: March 2024

The integration of Artificial Intelligence (AI) into Information Systems (IS) is ushering in a transformative era of data-driven decision-making. This research paper presents a comprehensive exploration of AI's applications, benefits, challenges, and future directions within IS. AI is revolutionizing data management through techniques such as automated data integration, natural language processing, and enhanced data quality, while also providing sophisticated decision support systems with predictive analytics and recommendation engines. Businesses benefit from streamlined processes, real-time analytics, and improved cybersecurity measures. However, challenges such as data quality, AI skill shortages, ethical concerns, and integration complexities must be addressed. The paper envisions future directions where Explainable AI (XAI) offers transparent decision rationales, ethics and governance frameworks ensure responsible AI adoption, augmented intelligence fosters human-AI collaboration, AI extends to edge computing for real-time processing, and AI fortifies cybersecurity measures. As AI technologies continue to mature, organizations must invest in research and development while formulating robust AI adoption strategies to harness the potential of AI in IS. The fusion of AI and IS is poised to redefine information management, facilitating more intelligent, efficient, and secure operations in the evolving digital landscape. Key Words: Artificial Intelligence, Information Systems, Machine Learning, Data Analytics, Natural Language Processing, Automation, Decision Support, Big Data.
Fabrication of Electric Tricycle
Authors:   B. Tech Final Year Students, Dept of Mechanical Engineering, Visakha Institute of Engineering and Technology., Kumar D.Sai
Published: March 2024

The goal of the Electric Tricycle Project is to bring increased mobility to disabled persons in Burkina Faso, West Africa. Presently, hand-powered tricycles are used by many of the disabled in this community, but some current users of the hand-powered tricycles do not have the physical strength or coordination to propel themselves on the tricycle with their arms and hands. The aim of this project is to add an electric power train and control system to the current hand-powered tricycle to provide tricycle users with improved levels of mobility, facilitating freedom in travel and contribution to the community. The design objectives required a simple and affordable design for the power train and controls, a design that needed to be reliable, sustainable, and functional. In response to the request from an SIM missionary at the Handicap Center in Mahadaga, Burkina Faso, Dokimoi Ergatai (DE) committed to designing and supplying a kit to add electric motor power to the current tricycle design, and we, David Sandberg, Tolulope Ogundipe, and Daniel Dourte partnered with DE in their commitment. Our project was advised by Dr. Donald Pratt and Mr. John Meyer. Key Words: Burkina Faso, Electric Tricycle, Handicap Center, Mahadaga, David Sandberg, Tolulope Ogundipe.
SMS SPAM DETECTION WITH MULTINOMIAL NAIVE BAYES
Authors:   Asst. Professor, Dept. Information Technology, KKR & KSR Institute of Technology and Sciences, Guntur, India, J Mrs.  Mounika
Published: March 2024

SMS (short messaging service) usage has increased dramatically as a result of the growth in mobile users, enabling text messaging between smartphone and landline users. But there has also been a noticeable increase in unsolicited communications, or spam, coinciding with this growth in SMS usage. Through marketing campaigns and attempts to gain private information, such as credit card numbers, these spam messages seek to further business or financial objectives. The duty of removing spam mails has therefore grown in significance. In response, a number of deep learning and machine learning methods have been used to identify SMS spam. Using data from the University of California, Irvine (UCI), this research examines the application of such strategies. Key Words: MultinomailNaiveBayes, SMS Spam Detection, NLTK, Vectorization, Feature Extraction.
Reviewing Innovations: Advances in Transportation, Security, and Accident Detection
Authors:   Student, Department of computer science and engineering, Universal Engineering College, Kerala, India., Babu Akash
Published: March 2024

This review paper meticulously examines recent advancements in intelligent transportation systems (ITS), traffic management, accident detection, and face recognition technologies. With a focus on mitigating modern urban challenges including congestion, pollution, and safety hazards, these innovations represent significant strides toward enhancing efficiency, safety, and security in urban environments. Through a comprehensive analysis of selected research papers, this paper elucidates innovative methodologies and their implications for urban mobility and security enhancement. From the utilization of deep learning techniques for real-time traffic flow detection to the integration of convolutional neural networks for aerial imagery segmentation, the reviewed studies offer profound insights into state-of-the-art solutions for tackling intricate transportation and security challenges. Furthermore, the paper underscores the pivotal role of accident detection systems in bolstering road safety and curtailing traffic accidents. Additionally, it explores advancements in face detection and recognition technologies, elucidating their potential applications in biometric systems and security domains. By meticulously identifying common challenges and delineating prospective avenues for future research, this review paper furnishes a meticulously detailed overview of recent innovations in transportation and security, thereby providing invaluable insights for researchers, policymakers, and industry stakeholders alike Index Terms— Intelligent Transportation Systems (ITS), Artificial intelligence (AI), Object Detection, YOLOv8, Vehicle Tracking, DeepSORT, CNN (Convolutional Neural Network), OpenCV
Predictive Analytics for Future Life Expectancy Using Machine Learning
Authors:   Asst. Professor, Dept. Information Technology, KKR & KSR Institute of Technology and Sciences, Guntur, India, Vijaya Mrs. V. Krishna
Published: March 2024

Advanced machine learning is used in the project "Predictive Analytics for Future Life Expectancy Using Machine Learning." methods for forecasting forthcoming trends in lifespan. By examining a range of datasets, including historical lifetime records, healthcare data, economic features, demographics, and environmental information, the research develops accurate prediction models. To assure reliability, these models—which were constructed using a variety of machine learning algorithms, including ensemble approaches, decision trees, and regression—go through a thorough training and validation process. This resulting forecasting tool is able to be used to legislators, healthcare professionals, and academics to make informed decisions on public health, including resource allocation. Periodic updates and monitoring enable reaction to evolving trends all while maintaining relevance and effectiveness over time. Key Words: Predictive Analytics, Future Life Expectancy, Linear regressor, Decision Tree regressor, Random forest regressor, Xgboost.
Survey On “Deepvision’s Human Eye Blink Pattern Analysis for Deepfake Detection”
Authors:   Last Year Student, Department of Computer Engineering, Smt. Kashibai Navale College of Engineering, Pune, Maharashtra, India, Survase Miss. Namita
Published: March 2024

Deepfake technology has rapidly evolved, enabling the creation of highly convincing synthetic media, including images, videos, and audio recordings. These maliciously manipulated digital artifacts can have severe consequences for privacy, security, and trust in digital content. Therefore, the development of effective deepfake detection methods is of paramount importance. This paper proposes a novel approach for deepfake detection based on the analysis of human eye blinking patterns. The human eye blink is a unique and subtle behavioral trait that is challenging to replicate accurately in deepfake videos. We leverage this inherent biometric feature to identify anomalies in video content and distinguish between genuine and synthetic videos. Key Words: Eye Blink to Speech, Machine Learning.
Advancements in Drowsiness Detection: A Review
Authors:   Student, Department of computer science and engineering, Universal Engineering College, Kerala, India., K Aanand Krishnan
Published: March 2024

This review study looks at current advancements in sleepiness detection technologies to address the urgent problem of driving while sleepy leading to accidents. In order to prevent future accidents, it analyzes several approaches and technology and emphasizes how crucial it is to correctly recognize drowsy conditions in drivers. Important results highlight the effectiveness of methods for real-time drowsiness detection such as convolutional neural networks (CNNs), eye aspect ratio (EAR) analysis, and deep learning integration. Additionally, improvements in computer vision algorithms make it possible to precisely analyze facial landmarks and eye blinking patterns, which improves the accuracy of detection systems. In order to protect driver comfort and system reliability, the evaluation emphasizes the importance of non-intrusive fatigue detection techniques while also emphasizing the necessity to reduce false warnings. Remarkably, certain models detect drowsy-eye with an accuracy of above 95%. All things considered, the review emphasizes how important cutting-edge technology is in reducing the risks related to drunk driving, especially deep learning and computer vision algorithms. It promotes the deployment of reliable sleepiness detection technologies in order to increase road safety and reduce accidents brought on by fatigued drivers. Key Words: Drowsiness detection, Eye blink duration, Facial landmark detection, Deep learning algorithms, Computer vision, Eye aspect ratio, Road safety.
SPINNER OF YARN – STORY WRITING WEBSITE
Authors: SING SURAJBHAN
Published: March 2024

This research paper introduces an innovative online platform designed to cultivate creativity and collaboration among writers and readers. Leveraging contemporary web development technologies including MongoDB, Express, React, and Node.js, the platform offers an intuitive interface for writers to share their original works, spanning from short stories to novels and poetry collections. Readers can navigate through a diverse collection of stories, interact with authors through comments and feedback, and forge connections within a vibrant community of like-minded individuals.With a vision to nurture a community grounded in creativity and cooperation, the platform serves as a hub where writers can showcase their talent and readers can discover captivating narratives. Ultimately, this initiative aims to inspire individuals to embrace the profound impact of storytelling, empowering them to share their unique perspectives with a global audience. Index Terms—Storytelling community, Scalable architecture, MERN Stack, User-friendly, Writers and readers, Creativity
CAR OVER-SPEED DETECTOR PROJECT: ENHANCING ROAD SAFETY THROUGH ADVANCED TECHNOLOGY
Authors: Chavan Yashraj
Published: March 2024

Road accidents have been very common in the present world with the prime cause being the careless driving. The necessity to check this has been very essential and different methods have been used so far. However, with the advancement in the technology, different governing bodies are demanding some sort of computerized technology to control this problem of over speed driving. At this scenario, we are proposing a system to detect the vehicle which are being driven above the given maximum speed limit that the respective roads or highway limits. The overall project is divided in four categories; speed detection, processing, displaying warning message and beeping the buzzer.
Sensors of Smart Devices in the Internet of Everything (IoE) Era
Authors: Marappa Waleker Kavita
Published: March 2024

Smart device industry allows developers and designers to embed different sensors, processors, and memories in small-size electronic devices. Sensors are added to enhance the usability of these devices and improve the quality of experience through data collection and analysis. However, with the era of big data and machine learning, sensors’ data may be processed by different techniques to infer various hidden information. The extracted information may be beneficial to device users, developers, and designers to enhance the management, operation, and development of these devices. However, the extracted information may be used to compromise the security and the privacy of humans in the era of Internet of Everything (IoE). In this work, we attempt to review the process of inferring meaningful data from smart devices’ sensors, especially, smartphones. In addition, different useful machine learning applications based on smartphones’ sensors data are shown. Key Words: IOE-Internet of everything, near-field communication (NFC), Smartphones, interoperability, smart thermostat.
Pelatihan Keterampilan Melalui Diversifikasi Produk Olahan Makanan Berbasis Ikan Bagi Kelompok Wanita Adipura Rt 04/RW 04 Kelurahan Lere Kecamatan Palu Barat
Authors: Noer Hasmari , If'all If'all , Arfan Arfan , Juhana Juhana
Published: March 2024

Today's urban communities tend to buy practical food, namely those that are ready to cook (ready to be cooked) and ready to eat (ready to eat). Ready of cook means that it takes less time to prepare food. One form of food that is ready to cook is processed fish-based food. Partner problems are: Can fish-based food processing diversification be a business opportunity; and can increase public interest in consuming fish. Adipura Women's Group RT 04/RW 04 Lere Village, West Palu District, which is incorporated is still very limited in knowledge about diversification of fish-based food processing. The purpose of the activity is to find out business opportunities for diversifying fish-based food processing. To find out the public's interest in fish-based food processing. Improving the skills of the Adipura Women's group RT 04/RW 04 Lere Village, West Palu District in diversifying fish-based food processing. Using the Community Education method with Participatory Rural Appraisal (PRA/RRA), training methods, trial demonstrations, and coaching and evaluation of partner small business groups. The methods applied are: The methods applied to this activity in order to build human resources, especially group partners through the stages of implementing the activities, are field surveys, socialization, training, discussions, demonstration plots and mentoring and monev. The result of this training activity is an increase in the ability to run a partner's business through the training activities held. Increasing the ability and income of the community partners in activities with the technology of processing fish into various types of processed products, is one of food diversification and food preservation.
Pelatihan Desain Grafis Untuk Mendukung Kreativitas Murid SMK Negeri 1
Authors: Hoiriyah Hoiriyah , Lilis Anggraini  , Muhammad Saidi Rahman
Published: March 2024

At first graphic design began to be known and used by humans because of the need to communicate using visual language from the 19th century to the modern century as it is now. which is a form of communication that is carried out visually that utilizes images, writing, and lines as a medium to become a message so that it can be used as a communication tool directly or indirectly to communicate with others. Design is an illustration that shows complicated geometry, it seems simple and unaesthetic, but to find the initial idea, it is necessary to analyze until the creation of a new design, in which graphic design is a human way of thinking to interpret information presented in a simple form. with the implementation of this training carried out at the Lab of SMKN 1 Banjarmasin and the participants of this activity were students of class X in the Department of Computer Network Engineering with a total of 9 students and in class XI of the Department of Computer Network Engineering a total of 9 students. This implementation is carried out for 3 days with time starting from 08.00 - 16.00. As for the method used in the implementation of this activity by giving material and direct practice using cellphones and laptops, it is known that participants can balance, adjust contrast, and color or give patterns to objects and can design and make logos more attractive and can applied individually or in groups to hone existing ideas and new creativity for their initial provision to enter the world of work
Pendampingan Simulasi Visitasi Akreditasi Ban S/M Melalui Konsep Pemberdayaan
Authors: Muhamad Rudi Wijaya
Published: March 2024

School and madrasah accreditation is a comprehensive school/madrasah feasibility assessment process, the results of which are realized in the form of independent professional public accountability called BAN S/M. Accreditation practice can be seen from two things that are measured, namely the review of administrative compliance (compliance) and performance (performance) of the education unit for efficiency and easy and accountable implementation. The results of interviews with school principals that UPTD SD Negeri 1 Rejoagung Batanghari District, East Lampung Regency, Lampung has implemented eight National Education Standards regulating the change of the accreditation system by the National Accreditation Board (compliance) to performance-based (performance), which is emphasized on 4 main components What is assessed is the quality of graduates, the learning process, the quality of teachers, and the school/madrasah management has not been fully understood by the principal as well as education staff and education staff at UPTD SD Negeri 1 Rejoagung Batanghari District, East Lampung Regency, Lampung. Outcomes of service activities on the importance of school accreditation, understanding the flow of preparation of accreditation forms and documents. With this community service activity, it has an impact on understanding the importance of accreditation so that school awareness and responsibility will grow in ensuring the quality of quality education.
Edukasi Hemat Energi dan Penerapan Teknologi IoT di SMP IT Al-Kholis Lampung Selatan
Authors: Prasetyawan Purwono , Oktavia Amelia , Ramadhani Uri Arta , Almasyuri Lanang , Sanjaya Miftahul Donny
Published: March 2024

SMP IT Al-Kholis uses PLN electricity to support teaching and learning activities. Some of the electrical loads that are widely used at the school are lamps and fans in the classrooms, halls, offices, and dormitories. Sometimes, lamps and fans remain connected to the electrical plug when not being used. Several classrooms and corridors are still using fluorescent lamps which are not efficient in terms of energy utilization.Therefore, in this case, energy efficiency along with conservation methods are highly necessary to be implemented. Energy conservation put more focused on improving energy-saving behavior while energy efficiency underlines the selection of efficient instruments. To improve energy-saving behavior, it is important to raise awareness of saving electricity urgency along with some examples of actions on it, by training method. Meanwhile, as for raising awareness of energy efficiency, the demonstration was carried out by providing energy saving lamps integrated with Internet of Things technology. The results of the implementation of this community service activity, include: 1) There is an increase in the number of students who understands the implementation of energy-saving education and IoT technology, as much as 32.66%; 2) Partners gave appreciation and expressed their gratitude for replacing LED lights with PIR motion sensor technology, LDR light sensors, and with solar cells and; 3) the functionality of the IoT-based fan and light monitoring and control system can run well.
Pelatihan Pembuatan Briket Dari Limbah Cangkang Kemiri
Authors: Botahala Loth , Oualeng Adolfina , Padamakani Herlince , Botahala Dusse E.
Published: March 2024

Global warming is a process of increasing the average temperature in the atmosphere, at sea, and on land, so that it will result in very extreme climate changes on earth. One of the exhaust gases known by various levels of society is carbon dioxide gas or commonly abbreviated as CO2. This gas is formed due to various human activities and because it occurs naturally, including burning garbage to forest fires. The candlenut shell is a waste from the candlenut fruit which has become a new problem in the community, especially the residents of the candlenut-producing villages. This community service aims to educate about the improtance of preserving forests and practice of making briquettes from to candlenut shell waste as fuel to replace  for household purposes. The participants have understood that processing candlenut shell waste into briquettes as a substitute for fuel can reduce the action of deforestation so that it indirectly already supports the function of the forest as the lungs of the earth.
Diseminasi Pemanfaatan Pupuk Bionik Untuk Perbaikan Performa Pertumbuhan Rumput Laut
Authors: Pieter Amalo  , Ni Putu Dian Kusuma  , Lukas G.G. Serihollo  , Rifqah Pratiwi
Published: March 2024

Farming seaweed is a significant source of income since it helps coastal communities become more resilient. Due to the simple growing, harvesting, and drying methods, low degree of capital investment, and quick production cycle (1.5 months), seaweed cultivation in Tablolong Village, West Kupang District, East Nusa Tenggara Province is dominated by cultivators from coastal villages. The present issue for farmers of seaweed is the unavailability of seeds, both in terms of quantity and quality. Simple actions such as community service projects (PKM) with a focus on fertilizing activities utilizing bionic fertilizers can be taken to encourage the growth of seaweed. The method used to achieve the target of this PKM program is participatory counseling, dissemination of research results, assistance in seaweed cultivation, and monitoring during seaweed cultivation. In November 2021, PKM operations are conducted in Tablolong Village's coastal region. Through the use of bionic seaweed fertilizer, the activity's aim is to earn the partner group's production rates. After participating in PKM activities, the "Blue Sea" partner group was able to produce Kappaphycus striatum by utilizing bionic fertilizers, where the analysis results showed that the daily growth rate was 3.38% day-1, absolute growth was 176 gr and production was 2,755.62 gr m-1.
Edukasi Pembuatan Nugget Ikan Sebagai Upaya Pemanfaatan Potensi Perikanan di Desa Mekar Kecamatan Soropia Kabupaten Konawe
Authors: Muchtar Febriana , Bahar Hartati
Published: March 2024

The processing of fish products as a source of animal protein needs to be enhanced and developed to optimize the fisheries sector, especially in coastal areas. In addition to giving an added-value to fresh fish, the development of fish processing positively affects the knowledge of the coastal community regarding the importance of fish processing. Fishery products, especially fish, can be processed into various processed products, for example nuggets. Nuggets are processed food products that are popular from children to adults. Nuggets can be made from various raw materials such as chicken, meat and fish. As a source of animal protein, fish nuggets can be used as a processed source of quality animal protein.This community service project was intended to improve the knowledge about fish processing to produce fish nuggets among housewives in Mekar Village Soropia District Konawe Regency in Southeast Sulawesi Province. A workshop was carried out where housewives learned and practiced making fish nuggets. The activity was successfully held where participants showed strong enthusiasm. This project has improved the knowledge of the participants about fish nuggets production process as a form of fishery product diversification. It is expected that this project give added-value to the fishery products through the diversification of processed fish products.
Pengabdian Kepada Masyarakat Pengembangan Produk Olahan Hasil Tangkap Perikanan dengan Memperdayakan Kelompok Wanita Pesisir Desa Pegagan Kecamatan Pademawu Kabupaten Pamekasan Provinsi Jawa Timur
Authors: Mohammad Taufiq Hidayat
Published: March 2024

Market demand for the availability of fishery products is relatively high, so processed fishery products business can be the right choice to start a business in order to improve the economy of a creative community.  This also happened in Pamekasan Regency. As one of the regencies in Madura which is famous for its education city, Pamekasan Regency is also known as a culinary city. The need for supplies of culinary ingredients such as fish, crabs and shellfish is still very high. To fulfill it, efforts to increase production are needed. The partners of this program are fishermen women's groups in Pegagan Village, Pademawu District. Partners have a strong desire for entrepreneurship, especially in fulfilling the supply of fish or fishery products for culinary businesses in Pamekasan Regency and its surroundings. However, limited fishery products are a separate problem faced by partners in processing fishery products to meet the needs of existing culinary businesses. Limitations in the processing of fishery products require careful thought in an effort to empower something that is productive to become a creative economy. One of the right choices so that they can still manage fishery products is to provide assistance and outreach by presenting material on how to properly and properly process fishery products. This program is carried out using training and mentoring methods. The training includes product manufacturing training and product marketing management cultivation training while mentoring is carried out through training, marketing and financial analysis. In the mentoring phase, monitoring and evaluation will also be carried out to ensure the sustainability of the program. The output of this program is the increased production of fishery products from Pegagan Village fisherman groups. Other outputs from this program are publications in Proceedings and national scientific journals with ISSN, e-ISSN and publications in the mass media.
Bimbingan Teknis Pembuatan Pupuk Organik Tandan Kosong Kelapa Sawit (TKKS) di Kabupaten Kolaka
Authors: La Mpia  , Juniaty Aruan Bulawan  , La Ode Muhsafaat  , Hasbiadi Hasbiadi
Published: March 2024

Oil palm empty fruit bunches are the main waste from the palm oil processing industry and are a source of organic matter rich in nutrients N, P, K, and Mg. Composting empty palm fruit bunches naturally takes quite a long time. Techniques to speed up the process of decomposition of organic matter is done by giving activators. Activators are microbial decomposers that act as catalysts to speed up the composting process and make the composting products perfect with good quality. The potential for empty oil palm bunches in Tanggetada District, especially Petudua Village, is very abundant. The people in Petudua Village do not yet know the benefits of empty palm fruit bunches, so they are left lying around which can disturb the surrounding environment. This technical assistance aims to guide the people of Petudua Village on the steps for making organic fertilizer sourced from empty oil palm fruit bunches. The stages of this activity include lectures, training and discussions. The result of this technical assistance is the knowledge of the people of Petudua Village about the steps for making and the procedure for making organic fertilizer from empty oil palm bunches.
Pemanfaatan Aplikasi Berbasis Android Sebagai Solusi Kepedulian Masyarakat Terhadap Sampah di Desa Gunungsari
Authors: Alim Citra Aria Bima  , Pratiwi Susanti  , Puguh Jayadi  , Moch Yusuf Asyhari
Published: March 2024

The community and local government waste handling capacity is not optimal. Waste cannot be managed properly, affecting the environment and the surrounding community's health. Garbage is a cultural problem because its impact affects various aspects of life, as is currently happening in the Gunungsari Village environment. When looking at the environmental situation there, it can be seen that residents' awareness of their respective waste segregation is not optimal. It can be seen that only about 20% of residents care and try to take part in waste sorting and 3R management, namely: reduce, reuse and recycle. So seeing these conditions, the community service team took the initiative to provide a K-Trash application technology solution to help villagers' problems in terms of waste management. With the presence of this application, people will become more aware of and understand the complexities of the household waste management process. Some of the community service team's activities in this program include socialization regarding the features, benefits, and purposes of applications used by villagers, providing mass training, and monitoring and evaluating application programs.
Pelatihan Penggunaan Aplikasi Quizizz Untuk Penilaian Akhir Semester
Authors: Imtihan Khairul , Taufan Asri Zaen Mohammad , Fahmi Hairul , Ashari Maulana , Fadli Sofiansyah
Published: March 2024

The role of the teacher in efforts to improve the quality of learning is very much needed, which is in line with the demands of the times that are always developing, and the teacher must also follow the existing demands. Learning technology is currently growing rapidly. Teachers are also starting to change the way of learning by incorporating technology into learning. One way to improve teaching skills is to use up-to-date learning media that students can use through learning applications available on student devices. Paper evaluation sheets for end-of-semester assessments are ineffective and wasteful, and students get bored easily. One application that can be used for learning assessment is Quizizz. Quizizz is an application in the form of an interactive quiz game for online learning. The purpose of this activity is so that participants are able to use Quizizz as a medium for evaluating online learning. Through training on the Quizizz learning application for teachers, they can improve digital literacy for students, which really needs to be developed at this time. The implementation method is through training and mentoring of 22 MTs Jihadul Ummah teachers. Based on the assistance that has been carried out, the result is an increase in the knowledge of 80% of the training participants. This learning app training is very beneficial for teachers who directly impact students in the classroom.
Peningkatan Kompetensi Akademisi Melalui Pelatihan Menulis Abstrak Karya Ilmiah Untuk Publikasi International
Authors: Lubis Dewi Shinta Wulandari , Soraya Grabiella Dinamika
Published: March 2024

Lecturers are an asset of a higher education institution that must be concerned for competitive advantage in facing the changing needs of education. Lecturers also have the obligation of the Tri Dharma of Higher Education, namely Teaching, Research, and Service. In research and service, lecturers need to publish articles both nationally and internationally. In an article that will be published, it must require them to write an abstract.  The lecturers needed are competent and have certain competencies needed in order to support the implementation of the tri dharma of higher education. The problem seen is that there are still many lecturers who make mistakes in making abstracts in articles to be published. It is very important to be given the training to increase knowledge for lecturers to improve the quality of their article writing. One thing that can be done is the community service training activity entitled ‘Improving Lecturer Competence Through scientific training for international publication where participants in this activity consist of lecturers from Sekolah Tinggi Ilmu Manajemen (STIM) Sukma Medan. The method given is presentation, discussion, case study, and final evaluation. This activity aims to improve competence in writing abstracts of scientific papers. The result of this activity concluded that this activity was very helpful for participants in increasing their understanding and awareness in writing abstracts of scientific papers.