bluuebunny/crossref_metadata_2025 huggingface dataset:
A modern gazdaságpolitika katolikus kritikája
Authors: Ujházi Lóránd , Jancsó András
Published: July 2023

A 19. század ipari és polgári forradalmaira, valamint a század gazdasági mechanizmusaira reflektálva bontakozott ki a katolikus egyház társadalmi tanítása. A tanulmány arra vállalkozik, hogy bemutassa a katolikus egyház hivatalos gazdaságpolitikát értékelő megközelítését, valamint a katolikus teológusok és közgazdászok elméleteit. A tanulmány hipotézise, hogy az időszakosan visszatérő gazdasági válságokra és környezeti katasztrófákra a katolikus gazdaságetika kínálhat – a hagyományos közgazdasági megközelítéseket kiegészítve – újszerű választ. A tanulmány történeti áttekintéssel bemutatja, hogy a katolikus egyház rendszerezetten és módszeresen vizsgálja a gazdaságpolitika területeit.
A német párttörvény reformja
Authors: Horváth Anett , Nagy Milán
Published: July 2023

A pártok alaptörvényi szinten történő szabályozása nagy előrelépésként értékelhető, hiszen Németországban még a két világháború között is volt rá példa, hogy az alkotmányjogi irodalomban a pártokat „extrakonstitucionálisnak”, vagyis alkotmányon kívülinek bélyegezték, illetve A Német Birodalom Alkotmánya (Die Verfassung des Deutschen Reichs), ismertebb nevén a weimari alkotmányban még csak említés szintjén kaptak helyet a pártok, miszerint „a hivatalnokok a közösség, s nem egy párt szolgái”.
“Two Distinct Creators”: Comparing Darwin’s and Wallace’s Formative Travels, and How it Influenced their Theory of Evolution
Authors: Brick Greg
Published: July 2023

Charles Darwin and Alfred Russel Wallace independently arrived at similar theories of evolution by natural selection as announced in 1858. Both men had undertaken transformative travels that provided data for their conclusions. This article compares and contrasts their published travel narratives and shows how it impacted their interpretations. While Darwin’s voyage aboard the H.M.S. Beagle (1831-1836) was largely in the southern hemisphere temperate zone, Wallace’s (1854-1862) island-hopping expedition was confined to the Malayan (Indonesian) Archipelago. Although very similar, there were slight differences in their resulting theories of natural selection. The debates that would divide them on this issue related especially to sexual dimorphism in birds and butterflies, with examples from their travels. Both men, however, perceived the profound differences between the Australian fauna and that of the rest of the world. Wallace was able to identify the exact boundary between these two different “creations,” later dubbed “Wallace’s Line.”
A Survey on Medical Health Records and AI
Authors: Shubham Shinde  , Mitesh Shetkar  , Mayuri Shigwan  , Abhishek Shinde  , Sai Shinde
Published: July 2023

As the population increases, so do the number of patients getting admitted in hospitals. This generates an overwhelming amount of data within the electronic health records (EHRs) that is impossible to manage manually. This is where machine learning concepts come in handy. The ML algorithms for regression-classification have become increasingly popular within the healthcare sector. Especially for cardiovascular diseases (CVD). Estimation states that by 2030, over 23 million people will die from CVD each year. But, it is estimated that 90% of CVD is preventable. The on time recognition and diagnosis of heart failure from the pre-existing medical records is a way to do so. However, the EHRs are not particularly reliable when it comes to the comparison of structured and unstructured data. This is due to the use of colloquial language and possible existence of sparse content. To tackle this issue, the proposed system uses the KTI-RNN model for recognition of unstructured data and removal of sparse content, TF-IWF model to extract the keyword set, the LDA model to extract the topic word set, and finally, the GA-BiRNN model to identify heart failure from extensive medical texts. The GA-BiRNN model is made up of a bidirectional recurrent neural network model and its output layer embedded with global attention mechanism and gating mechanism.
Revamping the Workout Routine : An Overview of PoseNet Thunder-Driven Fitness Apps Incorporating Computer Vision and Machine Learning
Authors: K. Anurag Reddy  , Ishita Singh  , Dr. Ram Gopal Kashyap
Published: July 2023

In today's modern lifestyle, characterised by a sedentary routine, the prevalence of chronic diseases among individuals has increased significantly. Juggling a 9-5 job, family responsibilities, and social commitments leaves little time for commuting to a gym regularly. As a result, more people are opting to exercise at home, leveraging the convenience of having fitness resources available through their handheld devices. This shift towards home workouts is facilitated by the remarkable advancements in technology.
Using Different innovative approaches leverage the power of deep learning algorithms to analyse exercise routines and classify different types of workouts. Through computer vision, the system can process visual information from workout videos, enabling the recognition and understanding of various body movements, postures, and exercise techniques. This provides users with valuable insights and feedback on their performance, ensuring that they are executing exercises correctly and effectively.
The integration of deep learning, computer vision, and image processing technologies offers immense potential in the field of exercise analysis and classification. Consistently performing an exercise improperly may result in significant long-term injury. We propose a method to assess the user's body posture during a workout and compare it to a professional's reference work out to assist address this problem and provide visual feedback while conducting a workout. To detect faults and deliver remedial action to the user, we model the human body as a collection of limbs and assess angles between limb pairs. Our system builds on the latest advancements using deep learning for human body pose estimation.
Comparative Studies on Intelligent Swarming Network (iSWAN) Geno-Generative Algorithm and Top-K Query Processing Algorithm
Authors: Nlerum Promise Anebo  , Obasi Emmanuela C. M
Published: July 2023

This paper proposed an enhanced Top-k query processing in a real time distributed database system. The system employs a Particle Swarm Optimizer (PSO) based Geno-Generative iSWAN Model technique that enhances and allows multi-task concurrent query processing in a real time co-simulation data acquisition platform and as part of refinement to an existing Top-k query processing Technique. In this paper, the proposed system is compared for efficiency with the Top-K Query Algorithm, which is emerging as an alternative to more conventional technique for real time query processing in distributed databases. Dynamic simulations were performed with a real time small testbed comprising of physical and non-physical devices to test and evaluate the performance and efficiency of the two systems. Considering the estimated and expected temperatures, the result of simulation study proves that the Intelligent Swarming Network (iSWAN) Geno-Generative Model is more preferred over Top-K Query Algorithm due to its 70% accuracy over the Top-K Model, which reported a lower accuracy level of 40%.
Secure Object Detection with Disease Diagnosis in Medical Images Using CNN With Asymmetric Algorithm
Authors: Mr.R.Krishnakumar  , Dr.K.Chandramohan  , Mr.K.Venkatesan  , Ms.P.Vaishanvi
Published: July 2023

Security is the most critical issue amid transmission of medical images because it contains sensitive information of patients. Medical image security is an essential method for secure the sensitive data when computerized images and their relevant patient data are transmitted across public networks. Sensitive images carry extensive important information and different features compared to standard images. Medical images have much more sensitive and essential information than any other digital image. Each pixel in the image can be necessary for the diagnosis process, and any deformation can result in a faulty diagnosis. The most robust securing of these images affects an image to the extent that it can be ignored; this is different from insensitive imagery as the border of redundancy is very low. The embedding capacity in medical images is deficient. Existing researchers present different data security techniques as cryptography and data hiding to guarantee data verification. But these approaches take more time and less security in medical image application. So in this project, implement Fragmented based Elliptical curve cryptography with Convolutional neural network algorithm to provide secure disease diagnosis system for medical images. Experimental results shows that the proposed system implemented Lung CT scan images that are collected from Open medical data sources and with high level security.
A Review of Cloud Computing Service Models
Authors: Agam Srivastava  , Animesh Ojha  , Archana Shaji  , Arti Sharma  , Rashmi Pandey
Published: July 2023

Cloud computing provides an infrastructure to process all types of data resources and also used for computing the data resources. It provides a good environment to work with data of large amounts. Despite all the technologies it has become the most important technology of the 21st century.
In IT departments it focuses on strategic projects rather than to keep the data in running form. By understanding the solitary attributes and deliberation linked to each model. Any business or company can use it to take selective decision when they will worry about to select most profitable cloud computing for the maximum and specified requirement and ambition or intention.
In this research paper we will present a comprehensive review on the different types of cloud computing services model. These models are used to provide intuition for consortium and to make decision- creator to purchase cloud technology. We are also discussing about the benefits, characteristics and comparison among IaaS, PaaS and SaaS.
A Review on Software Development Life Cycle
Authors: Archi Agarwal  , Avni Agarwal  , Deepak Kumar Verma  , Deepti Tiwari  , Rashmi Pandey
Published: July 2023

Efficiently developing dependable and high-quality software products within a strict timeframe should be a priority for those working within the technology sector. The Software Development Life Cycle (SDLC) process plays an integral role in this respect by offering various tried-and-tested methodologies such as Waterfall model Prototype model Spiral model Agile Incremental or Rapid Application Development model. Drawing from previous writings on this subject matter are used to investigate key SDCL principles outlined above.In this paper we are discussing about the SDLC phases and their different models.
Virtual Mouse Operations Using Webcam
Authors: C Saritha  , Y Phanitha  , A Ramya Krishna
Published: July 2023

With new changes seen in computer technology day by day, it has become quite essential for us to find specific new ways of interaction with computer systems as its need is increasing in society every day. Today, every device is making the use of touch screen technology on its systems, which isn't affordable to be used in all applications. A specific interactive module like a virtual mouse that makes use of Hand Tracking and Gestures that will help us to interact can be an alternative way for the traditional touch screen and the physical mouse. The objective is to create a Hand Tracking application that interacts with the system. This system proposed is a Computer Vision-based mouse cursor control system, which uses hand gestures that are being captured from a webcam through a Hand detection technique. This system allows the user to navigate the system cursor using their hand gestures that the computer webcam tracks and perform mouse operations like left- click, right-click, and double click using different hand gestures. Python and OpenCV library are used for real- time computer vision to implement the system. The camera output is displayed on the monitor.
Predicting Poverty Level From Satellite Imagery Using Ensemble Learning
Authors: A. Alexander  , Adhavan M  , Dinesh E  , Maroof Salih
Published: July 2023

In order to effectively reduce poverty, it is essential to measure and follow support initiatives over time in order to focus aid efforts and inform policy choices. However, gathering such data requires a lot of time and effort, thus coverage of places plagued by poverty is frequently scant or nonexistent. Previous studies have demonstrated the viability of using remote sensing techniques to measure poverty levels. Particularly, convolutional neural network processing of satellite pictures has demonstrated potential in forecasting the intensity of nocturnal lights, which may then be used to determine the underlying poverty level. By figuring out ways to gauge changes in poverty levels over time using the same kind of readily accessible data, this initiative aims to build on earlier research. We are able to confirm the initial findings of the single-point poverty prediction. To meaningfully anticipate temporal poverty, further work is still required. In order to find interventions for projects to reduce poverty and equitably allocate resources, it is essential to ascertain the levels of poverty in different regions of the world. However, it is difficult to find accurate information on global economic conditions, particularly for regions in the developing world. This hinders efforts to both implement services and monitor/evaluate success. The goal of this research is to use satellite imagery to identify economic activity and, as a result, gauge the level of poverty in a certain area. A recurrent neural network is trained to understand several development characteristics, such as the type of rooftop, the illumination source, the distance from water sources, agricultural areas, and industrial areas.
Analysis and Optimization of Shielded Metal Arc Welding Parameters on Mechanical Properties of Dissimilar Materials
Authors: Sanjay Singh  , Dr. Sanjay Kumar Gupta
Published: July 2023

Shielded metal arc welding is the most efficient and economical process through which it can easily weld. Residual stress is prompt in the welding process. In, some of cases, there is entrapment and deformation that can endanger the coherence of welding properties. So, the mechanical properties of welded joints can be changed accordingly to the heat-affected zone. In this study, the joint between two dissimilar AISI304 steel and Mild steel having a thickness of 5mm which is welded through a shielded metal arc welding (SMAW) in the V-groove shaped has been produced. In this research, we examines the mechanical properties of the material and their experimental and numerical analysis can also be measured through the Ultimate Tensile test, which introduces the entrapment and distortion of the finite element. It mainly focusses on final outcomes of the accuracy and strength of the material has been investigated.
A Neural-Based Approach for Detecting the Situational Information from Twitter During Disaster
Authors: Dr. M. Chandrakala  , S. Yamuna  , G. Sowmiya  , R. Thirshalakhmi
Published: July 2023

Each day, vast quantities of social media data is being produced and consumed in a constantly increasing price. A user’s digital footprint coming from internet sites or mobile products, such as comments, check-ins and Location traces contains valuable details about her behavior under normal and also emergency conditions. The collection and analysis of cellular and social media data before, during and after a tragedy opens new perspectives in areas such as for example real-time event detection, Emergency administration and personalization and valuable insights about the degree of the disaster, it is effect on the affected population and the rate of disaster recovery. Traditional storage space and processing systems cannot cope with how big is the collected data and the complexity of the applied analysis, thus distributed approaches are generally employed. In this function, we propose an open-source distributed platform that may serve while a backend for applications and solutions related to Emergency detection and administration by combining spatio-textual consumer generated data. The machine targets scalability and uses combination of state-of-the artwork Big Data frameworks. It presently supports the most popular internet sites, being easily extensible to any social system. The experimental evaluation of our prototype attests its overall performance and scalability even under large load, using different query types more than various cluster sizes.
A Novel Model for House Price Prediction with Machine Learning Techniques
Authors: Harshada S. Belsare  , Prof. Kanchan V. Warkar
Published: July 2023

In this paper, we are going to use machine learning algorithms for house price prediction. House prices increases drastically every year, so we felt a need for a system that will predict house prices in the future. Due to a lack of knowledge of property assets people cannot guess the accurate price of houses. Therefore, we felt a need for a model that will predict an accurate house price. So, the main aim of our project is to predict the accurate price of the house without any loss. This survey also deals with a comparative analysis of the results of the algorithms used and the model with the highest accuracy and minimum error rate will be implemented. For the choice of prediction ways, we tend to compare and explore numerous prediction ways. We tend to utilize Linear and random forest regression as our model attributable to its liable and probabilistic methodology on model Choice. Our result exhibits that approach to the problem ought to achieve success and has the flexibility to predictions that will be compared to different house price prediction models. We have a proclivity to propose a house price prediction model to hold up a customer to estimate the proper valuation of a house.
Different Questionnaire and Their Reliability Statistics Analysis using SPSS for Teacher Performance
Authors: Paresh R Rathod  , Prof. (Dr.) P. M Dolia
Published: July 2023

It is clear that the success of the education institution depends on the performance of the teachers as this can demonstrate to what extent the institution has reached its goals. The purpose of the evaluation system should be to help teacher by showing their weakness and/or strengths and providing them with professional development.
Teacher evaluation is an organizational function designed to make comprehensive judgments concerning teacher performance and competence for personnel decisions such as tenure and continuing employment. So different questionnaire are used for taking multiple feedback, according to the questionnaire teacher performance will be identify so it is necessary to check the question in a questionnaire are reliable or not. And the entire question in questionnaire is necessary or not.
The purpose of this study will be to focuses on different questionnaire and their reliability statistic analysis.
Detection of Pneumonia Using Chest X-Ray Images with Deep Learning Techniques-Review
Authors: R. Aafrein  , Dr. R. Chinnaiyan
Published: July 2023

Pneumonia is a prevalent respiratory infection that requires timely and accurate detection for effective treatment and improved patient outcomes. Traditional methods of pneumonia diagnosis, such as manual interpretation of chest X-ray images, are subjective and time-consuming. This research paper examines the utilization of deep learning techniques for the detection of pneumonia using chest X-ray images. The study delves into the challenges encountered within this domain, including the scarcity of annotated datasets, class imbalance, interpretability of model predictions, generalization, and integration into clinical practice. Various methodologies and solutions are discussed to mitigate these challenges and enhance the performance of deep learning models. The literature review encompasses investigations on CNN-based frameworks, transfer learning, dataset creation, and interpretability techniques. The paper underscores the significance of data preprocessing approaches, such as image resizing, normalization, and augmentation. In summary, this research paper provides valuable insights into the potential of deep learning in pneumonia detection and establishes a basis for further advancements in this field.
Prediction of Cancer Treatment Effectiveness and Patient Outcomes using Machine Learning Classification Approaches - A Review
Authors: Maneesh Ragavendra K  , Dr. R. Chinnaiyan
Published: July 2023

This study systematically reviews the Machine Learning methods developed to help predict the patient outcome and treatment effectiveness in cancer treatment. This research paper has been drafted from several other similar papers and with the help of a few topics related websites providing information regarding the radiation toxicity, survival rate and tumor response. Which are the main classification criteria for the patients. The use of ANN, DT, SVM and BNs has proved to be very beneficial in the classification of any given dataset, the accuracy of the model will be high with the use of all these ML methods.
Soil Conditions an Effective Model Predicts Plant Diseases
Authors: K. Jyothi  , Prof. G. Shankar Lingam
Published: July 2023

Plant diseases can cause significant economic losses for farmers and threaten global food security. Traditional approaches for managing plant diseases, such as using chemical pesticides and fungicides, are often expensive, environmentally harmful, and unsustainable. Leveraging the efficiency of soil conditions to predict plant diseases offers a promising alternative to traditional approaches. In this study, we developed a machine learning-based approach to predict the likelihood and severity of plant diseases based on soil conditions. Soil samples were collected from agricultural fields with healthy and diseased plants, and analyzed for various soil properties, including pH, texture, and nutrient availability, as well as microbial communities. A machine learning model was developed using the soil and disease data, and the model's effectiveness was evaluated in a field trial. The results showed that the machine learning-based approach had high accuracy in predicting disease outbreaks based on soil conditions. This research provides valuable insights into the relationship between soil conditions and plant diseases and offers a sustainable and cost-effective approach for managing plant diseases.
Fake News Prediction
Authors: Ishaan Sinha  , Aryan Gupta
Published: July 2023

This research paper aims to develop and evaluate a model for Fake news prediction using machine learning techniques. Social media for news consumption is a double-edged sword. On the one hand, its low cost, easy access, and rapid dissemination of information lead people to seek out and consume news from social media. On the other hand, it enables the wide spread of news”, i.e., low quality news with intentionally false information. The extensive spread of fake news has the potential for extremely negative impacts on individuals and society. There- fore, fake news detection on social media has recently become an emerging research that is attracting tremendous attention. Fake news detection on social media presents unique characteristics and challenges that make existing detection algorithms from traditional news media ineffective or not applicable. First, fake news is intentionally written to mislead readers to believe false information, which makes it difficult and nontrivial to detect based on news content; therefore, we need to include auxiliary information, such as user social engagements on social media, to help make a determination. Second, exploiting this auxiliary information is challenging in and of itself as users’ social engagements with fake news produce data that is big, incomplete, unstructured, and noisy. Because the issue of fake news detection on social media is both challenging and relevant, we conducted this survey to further facilitate research on the problem. In this survey, we present a comprehensive review of detecting fake news on social media, including fake news characterizations on psychology and social theories, existing algorithms from a data mining perspective, evaluation metrics and representative datasets. We also discuss related research areas, open problems, and future research directions for fake news detection on social media.
Modifications In Consumer Protection and Environment Protection in Industrial Clusters from Legal Views
Authors: Khuat Hong Thuan  , Dinh Tran Ngoc Huy  , Le Ngoc Nuong
Published: July 2023

In Article 4, Law on Consumer right protection 2020 pointed Protecting the interests of consumers is a common responsibility of the State and the whole society. Next, The interests of consumers are respected and protected in accordance with the law. This paper also present some cases of environmental pollutions, via which It would suggest that Relevant ministries and branches need to review Environmental treatment and protection, ability to provide energy, and Social infrastructure, as well as other relevant issues and criteria in industrial zones/clusters to protect consumers and laborers, etc.
Variation of Mass Value for Spring Damper System in Suspension Using Python Simulation in Google Colab
Authors: Adhe Lingga Dewi
Published: July 2023

An analysis has been carried out for the Spring Damper System using the Python programming language on Google Colab. The first stage that is carried out before the simulation is to determine the differential equation based on Newton's II law equation. The Python programming language was chosen because only needs to run in a browser, users can monitor the training process (or even coding) via a smartphone browser if the smartphone is connected to the same Google Drive. The simulation is carried out by varying the mass value from 5kg - 50kg with a mass increase range of 5kg. This is done to determine the effect of mass on changes in position and velocity/speed. Based on the simulation results, the greater the mass value given will affect the amplitude value, the position graph will increase while the velocity graph will decrease, and the time needed for both amplitudes to stabilize will increase.
Preparation of Some Complexes of Nickel (II) and Copper (II) Metals with Macrocyclic Ligand, 1,7,10,16- tetraaza-8, 9, 17, 18-dibenzo - 3,4,5,12,13,14 -Difuranyl Cyclo Octadeca - 1, 6, 10, 15-Tetraene
Authors: Md. Jamaluddin  , Pooja Singh
Published: July 2023

The complexes of Nicke l(II) and Copper(II) salts have been prepared with the macrocyclic ligand-1,7,10,16-tetraaza-8, 9, 17, 18-di benzo - 3,4,5,12,13,14-difuranylcyclooctadeca- 1, 6, 10, 15-tetraene. On the basis of characterization of compledxes formed with the macrocyclic ligand by usual physico-chemical methods such as elemental analysis, mea- surement of electrical conductance, magnetic moment and electronic tran- sition spectra of the complexes and I.R. spectral behaviour of both the ligand and the complexes. All the complexes of both the metals have been found to be non-electrolyte, mono-meric, paramagnetic with octahedral geometryy . The general molecular formula of the complexes have been found to be [M(L) (X)2] Where M= Nickel(II) and Copper(II) Cations, L= macrocyclic ligand and X= monodentate anion.
The Classification and Synthesis Methods of Nanomaterials
Authors: Dr. B. S. Surung  , Dr. R. M. Lokhande  , Mrs. M. R. Thokare  , Mr. R. D. Khalapure  , Dr. B. S. Kharat  , Dr. P. P. Pawar
Published: July 2023

Recently the more interesting and attracting point in research area is the synthesis and characterizations of nanomaterials because of nanotechnology field has contributed to the improvement and revolutionizing of different fields. The list of benefits and applications of nanotechnology is growing rapidly. Nanoparticles (NPs) are small particles that exist in an average size ranges between 1 and 100 nm that distinguish them from their parental bulky materials and make them ideal for diverse applications [1], [2] . Now a day’s nanoscale materials, with unique properties have been widely used in different fields such as energy, engineering, biomedical and environment applications. The NPs have become an area of intensive research in the recent past because of their unique and distinguished properties which make their potential application in various fields biomedicine, catalysis, agriculture, and environment [3], [4]. We go through the various research papers and discuss the synthesis of NPs with different methods by the various authors. There are many techniques and applications are reported in the last five years but here we strictly focused on the general synthetic approaches and applications of the nanomaterials which provide a general idea to the young researchers.
Comparison of Dose Distribution to Target Volume and Organs at Risk using 3D CRT, IMRT, and VMAT Techniques in Glioblastoma Cases
Authors: Hamzah Fuadi  , Heri Sutanto  , Eko Hidayanto  , Zaenal Arifin  , Choirul Anam  , Siti Fairus
Published: July 2023

The average lifetime risk of secondary cancer after irradiating glioblastoma radiation therapy to healthy organs shows that the technique of volumetric modulated arc therapy (VMAT) has a smaller risk of developing secondary cancer compared to intensity modulated radiation therapy (IMRT) and three-dimensional radiation therapy (3DCRT). Parameters of dose distribution, namely the target volume and dose received by the organs at risk (OAR), are used to compare these three techniques. The distribution of doses from TPS results in the form of DVH and isodose in the 3D CRT, IMRT, and VMAT techniques shows that the distribution of doses to healthy organs around the glioblastoma irradiation area is in the safe category and is still within tolerance limits. With VMAT, the PTV and CTV dose results were more optimal compared to the 3D CRT and IMRT techniques. 3D CRT showed a PTV dose value of 5551.8 cGy and a CTV of 5515.3 cGy. IMRT shows a PTV dose value of 6035.0 cGy and a CTV of 6018.8 cGy. VMAT shows PTV dose values of 6101.8 cGy and CTV of 6044.7 cGy. It can be seen that the distribution of doses to healthy organs in general in the VMAT technique is more optimal than the IMRT and 3D CRT techniques in protecting OAR.
Prototype Sistem Hybrid PLTMH-PLTS-Baterai Pada Beban Penerangan Dan Pengusir Hama Sawah
Authors: Ikhsan Rachmad , Faulianur Rizki , Susilawati Feri
Published: July 2023

Abstrak— Belum terjangkaunya akses listrik bagi penduduk yang tinggal di daerah pedesaan atau pergunungan merupakan suatu masalah yang harus diselesaikan oleh pemerintah. Pada penelitian ini, penulis merekomendasikan hasil skema sistem pembangkit listrik hybrid PLTMH-PLTS-Baterai untuk memenuhi kebutuhan penerangan dan pengusiran hama pada sawah serta menganalisis teknis desain pembangkit listrik hybrid PLTMH-PLTS-Baterai. Alat ini bekerja dengan menggunakan tiga jenis energi listrik, yaitu PLTMH, PLTS, dan baterai. Ketiga energi ini akan mulai aktif pada kondisi tertentu, jika debit air dari bendungan berkurang tekanan nya, maka tegangan dari generator (PLTMH) mulai berkurang, sehingga secara otomatis sistem akan berpindah ke sistem PLTS, jika pada saat malam hari ataupun cuaca sedang berawan maka sistem akan  berpindah ke Energi Alternatif yaitu Baterai. Untuk mengetahui sistem switching berkerja maka dapat dilihat pada lampu indikator dan pada tampilan LCD. Energi yang dihasilkan oleh pembangkit akan dipakai untuk beban penerangan dan perangkat pengusir hama  Kata kunci: Sistem Hybrid, PLTMH, PLTS, Pengusir Hama Abstract— The unreachable access to electricity for people living in rural or mountainous areas is a problem that must be solved by the government. In this study, the authors recommend the results of the PLTMH-PLTS-Baterai hybrid power generation system scheme to meet the needs of lighting and pest control in rice fields and analyze the technical design of the PLTMH-PLTS-Batteries hybrid power plant. This tool works by using three types of electrical energy PLTMH, PLTS, and Batteries. These three energies will begin to be active under certain conditions, if the water discharge from the dam decreases its pressure, then the voltage from the generator (PLTMH) begins to decrease, so the system will automatically switch to the PLTS system, if at night or the weather is cloudy then the system will switch to the PLTS system, will switch to Alternative Energy, namely Batteries. To find out the switching system is working, it can be seen on the indicator light and on the LCD display. The energy generated by the generator will be used for lighting loads and pest control devices. Keyword : Hybrid System, PLTMH, PLTS, Pest Control
Metode K-Nearest Neighbor untuk Sistem Pakar Diagnosa Penyakit Thypoid
Authors: Hamzah Yanhar , Botutihe Marniyati Husain
Published: July 2023

Abstrak— Penyakit demam Thypoid merupakan infeksi akut pada usus halus dengan gejala demam lebih dari satu minggu, mengakibatkan gangguan pencernaan dan dapat menurunkan tingkat kesadaran. Penyakit ini disebabkan oleh Salmonella Typhi. Penyebab paling umum adalah faktor kebersihan. Kurangnya kesadaran masyarakat terhadap kebersihan makanan serta kurangnya pemahaman masyarakat terhadap penyakit thypiod Mengingat tingginya frekuensi demam thypoid dan konsekuensi tidak segera diobati penyakit ini, maka sangat berbahaya bagi manusia maka tujuan penelitian ini yaitu untuk memberikan solusi kepada masyarakat yang membutuhkan penanganan terhadap penderita penyakit thypoid. Hasil pengujian menyimpulkan bahwa metode ini mampu memberikan hasil diagnosa berdasarkan data gejala yang diberikan oleh pakar.Kata kunci: Thypoid, Sistem Pakar, K-NNAbstrack - Thypoid fever is an acute infection of the small intestine with fever symptoms for more than one week, resulting in indigestion and can decrease the level of consciousness. The disease is caused by Salmonella Typhi. The most common cause is the hygiene factor. Lack of public awareness of food hygiene and lack of public understanding of thypiod disease Given the high frequency of thypoid fever and the consequences of not being treated immediately this disease, it is very dangerous for humans, the purpose of this study is to provide solutions to people who need treatment for people with thypoid disease. The test results concluded that this method is able to provide diagnostic results based on symptom data provided by experts.Keyword: Thypoid, Expert Sistem, K-NN
Identifikasi Awal Kode Tanda-tangan dengan Pendekatan Pemodelan Koordinat
Authors: Simamora S N M P
Published: July 2023

Salah satu aspek terpenting dalam komunikasi data saat ini adalah mentransformasikan sebuah format analog ke dalam bentuk terdigitalisasi. Tanda-datangan merupakan sebuah data yang penting dan dijadikan sebagai bukti faktual dalam kegiatan transaksi di akhir proses. Tanda-tangan juga salah satu hal yang terpenting untuk dilakukan pengamanan agar tidak dapat diduplikasi atau ditiru. Setiap pengenalan objek dalam dunia digital harus dilakukan proses kuantisasi agar memudahkan ditransformasikan ke dalam bentuk digital. Salah satu bentuk kuantisasi yang sederhana adalah data koordinat. Tanda-tangan umumnya diaktualisasikan dalam bentuk 2-dimensi; dan secara pemodelan, aktualisasi sebuah objek pada bidang 2-dimensi adalah koordinat. Pada penelitian ini telah dilakukan serangkaian pengujian dengan pendekatan pemodelan untuk jumlah sampling enam responden. Dan hasilnya menunjukkan masing-masing keenam responden memiliki karakteristik deskriptif secara terpola, posisi yang khas atau unik, dan memiliki kode koordinat tertentu. Batasan juga dilakukan pada media sampling, yakni bidang 2-dimensi sebagai sampling lay-out adalah ruang-matriks 11x11. Keenam responden dilakukan pencuplikan sampling garis tanda-tangan sebanyak 32 kali. Metode yang digunakan dalam melakukan uji-sampling adalah kuantisasi deskriptif, yang artinya setiap garis tanda-tangan akan dicuplik dalam dua koordinat yang berbeda, yang dijadikan sebagai koordinat acuan terhadap sampling pencuplikan tanda-tangan selanjutnya yang dilakukan percobaan sebanyak 32 kali.  Dan diperoleh hasilnya bahwa ruang-matriks 11x11 telah representatif memperlihatkan bentuk dan pola setiap posisi garis tanda-tangan secara khas; yang dinyatakan dalam koordinat.
Aplikasi Event Organizer Gathering Dan Outbound Berbasis Android Pada Bellva Adventure Indonesia
Authors: Ramadan Muhamad Ridwan , Hariyanti Ifani
Published: July 2023

AbstrakBellva Adventure Indonesia merupakan salah satu jasa event organizer yang bergerak di bidang event organizer untuk gathering dan outbound. Bellva sudah berdiri sejak lama dan mempunyai banyak client. Akan tetapi, setelah adanya virus corona, Bellva kehilangan beberapa client karena keterbatasan jarak dan komunikasi. Setelah Indonesia mulai terbebas dan masuk ke era new normal, manajemen Bellva Adventure Indonesia mulai melaksanakan promosi untuk menarik client salah satunya dengan membuat aplikasi Android. Tujuan dari penelitian ini yaitu memudahkan dan memaksimalkan komunikasi antara client dan pihak Bellva Adventure Indonesia dalam melakukan pemesanan gathering. Hasil dari penelitian ini adalah aplikasi Android dengan fitur login, jadwal, menu booking, menu pembayaran, menu informasi dan menu artikel atau blog.Kata Kunci : Bellva Adenture Indonesia, Aplikasi Android, Pemesanan Gathering. AbstractBellva Adventure Indonesia is one of the event organizer services which is engaged in event organizer for gathering and outbound. Bellva has been around for a long time and has many clients. However, after the corona virus, Bellva lost several clients due to distance and communication limitations. After Indonesia began to be free and entered the new normal era, the management of Bellva Adventure Indonesia began to carry out promotions to attract clients, one of which was by creating an Android application. The purpose of this research is to facilitate and maximize communication between the client and Bellva Adventure Indonesia in making gathering reservations. The results of this study are Android applications with login features, schedules, booking menus, payment menus, information menus and article or blog menus.  Keywords – Bellva Adenture Indonesia, Android Application, Gathering Orde.
Pengembangan Game Edukasi Matematika Untuk Anak Sekolah Dasar Menggunakan Unity
Authors: Saputra Bayu , Herliana Asti
Published: July 2023

Abstrak - Kurangnya minat siswa SD dalam mempelajari belajar mata pelajaran matematika berdampak pada nilai siswa yang kurang maksimal, maka untuk meningkatkan nilai dan pemahaman akan materi tentang perhitungan matematika, pengajar perlu mengimprovisasi diri dan kreatif dalam menyampaikan materi kepada siswa SD. Karena siswa SD cendurung lebih suka bermain. Untuk iu di butuhkan media pembelajaran yang menarik seperti game edukasi yang menggunakan metode penelitian RD dan memperlihatkan animasi dan gambar sehingga siswa SD tertarik dan lebih ingin untuk memepelajari mata pelajaran matematika agar membantu pemahaman siswa SD lebih baik lagi. Game edukasi yang dibuat dengan menggunakan unity ini semoga menjadi solusi dalam meningkatkan pemahaman belajar siswa SD.Kata Kunci: Game Edukasi, Unity. Abstract - The lack of interest of elementary school students in learning mathematics subjects has an impact on the lack of student grades, so to improve understanding of the material about mathematical calculations, teachers need to improvise and be creative in conveying material to elementary students. Because elementary school students tend to prefer to play. For this reason, he ordered interesting learning media such as educational games that use RD research methods and run animations and pictures so that elementary school students are interested and more willing to learn math subjects in order to help elementary students understand better. This educational game made using Unity may be a solution in improving the learning understanding of elementary school students.
Aplikasi Calung Virtual Dengan Construct 2 Di Saung Angklung Udjo
Authors: Jeremi Valdo , Hidayatulloh Syarif
Published: July 2023

Abstrak - Perubahan sosio-kultural yang terjadi di masyarakat Sunda saat ini menjadi salah satu faktor adanya peluang kepunahan dari sebuah kebudayaan yang ada dengan potensi yang semakin besar. Zaman yang semakin berkembang juga membuat banyak terjadinya proses inovasi-inovasi baru yang dilakukan oleh sebagian kelompok musik terhadap musik Calung ini dengan harapan agar kesenian Calung tetap eksis sekalipun zaman telah berkembang menjadi modern. Sulitnya akses untuk seseorang yang  ingin mempelajari alat musik Calung apabila terkendala dengan lokasi sanggar yang tidak dekat membuat orang menjadi malas untuk mempelajari alat musik ini. Pada penelitian dibuat media pembelajaran alat musik Calung berbasis multimedia dengan Construct 2. Pengembangan aplikasi ini menggunakan metode prototype sehingga pengembang dan pelanggan dapat saling berinteraksi selama proses pembuatan sistem. Sesuai dengan permasalahan dan kajian penelitian pada skripsi ini dapat dirangkum bahwa diperlukan aplikasi virtual berbasis multimedia untuk membantu pembelajaran Calung. Hasil dari penelitian ini adalah sebuah Aplikasi Calung Virtual yang dapat menampilkan multimedia 2 Dimensi dengan fitur Calung.Kata kunci: Alat Musik Tradisional, Calung, Construct 2. Abstract - Socio-cultural changes that occur in Sundanese society today are one factor in the possibility of extinction of existing culture with greater potential. The growing era has also made a lot of new innovations carried out by some musical groups to Calung's music in the hope that Calung's art will still exist even though the times have developed into a modern one. The difficulty of access for someone who wants to learn the Calung musical instrument if it is constrained by the location of the studio which is not close makes people lazy to learn this musical instrument. In the research, a multimedia-based Calung musical instrument learning media with Construct 2. The development of this application uses the prototype method so that developers and customers can interact with each other during the system creation process. In accordance with the problems and research studies in this thesis, it can be summarized that a multimedia-based virtual application is needed to assist Calung learning. The result of this research is a Calung Virtual Application that can display 2-dimensional multimedia with the Calung feature.Keyword : Traditional Musical Instruments, Calung, Construct 2
Sistem Pengolahan Data Pembayaran SPP Di SMK Manangga Pratama Kota Tasikmalaya
Authors: Sapira Hanina , Setyoningrum Nuk Ghurroh
Published: July 2023

Abstrak - Keadaan Teknologi pada SMK Manangga Pratama saat ini masih banyak mengalami kendala, salah satunya yaitu dalam proses pengolahan data pembayaran SPP siswa. Dalam pembayaran SPP siswa yang terjadi pada saat ini adalah masih dilakukannya proses pengolahan data secara manual yaitu petugas SPP akan mencatat data pembayaran SPP siswa dalam kertas. Kemudian petugas merekap nya ke dalam buku besar dan buku harian untuk pembuatan laporan. Dalam menjawab permasalahan yang ditemukan, tugas akhir ini bertujuan untuk mempermudah petugas dalam rekapitulasi data dan pembuatan laporan. Metode penelitian yang digunakan adalah metode penelitian deskriptif, sedangkan metode pengembangan sistem informasi yang digunakan adalah SDLC (system Development Life Cycle), dengan tahap perancangan sistem, pengumpulan data, analisa sistem, desain sistem, implementasi sistem, pengujian dan pemeliharaan sistem. Hasil dari tugas akhir ini adalah suatu sistem informasi yang dapat membantu mempermudah proses rekapitulasi SPP dan pembuatan laporan SPP di SMK Manangga Pratama Kota Tasikmalaya pada bagian tata usaha.Kata kunci: Pengolahan Data, Pembayaran SPP, SMK Manangga Pratama Kota Tasikmalaya. Abstract - The State of Technology at Manangga Pratama Vocational High School is currently experiencing many obstacles, one of which is in processing student tuition payment data. In student tuition payments that occur at this time, data processing is still being carried out manually, namely the SPP officer will record student tuition payment data on paper. Then the officers recorded it in ledgers and diaries for making reports. In answering the problems found, this final project aims to make it easier for officers to recapitulate data and prepare reports.The research method used is descriptive research method, while the information system development method used is SDLC (system Development Life Cycle), with the stages of system design, data collection, system analysis, system design, system implementation, system testing and maintenance.The result of this final project is an information system that can help simplify the process of recapitulating tuition fees and making SPP reports at Manangga Pratama Vocational School, Tasikmalaya City in the administration section.
Pengembangan Game Edukasi Berbasis Web Untuk Anak Usia Dini Dengan Construct 2
Authors: Zakiyah Zakiyah , Chotijah Umi
Published: July 2023

Abstrak—Masa usia dini (0-6 tahun) merupakan masa keemasan pada anak. Para ahli menilai perlunya stimulasi yang bermakna agar masa usia dini anak dapat berkembang secara optimal. Peran stimulasi pada anak harus disiapkan oleh para pendidik, mulai dari orang tua, guru,  ataupun orang dewasa lain yang ada di sekitar anak. Salah satu alternatif untuk menstimulus perkembangan secara optimal pada anak adalah dengan media pembelajaran yang didapat. Namun nyatanya media pembelajaran untuk anak usia dini umumnya masih konvensional seperti menggunakan media kartu, dan beberapa mainan fisik untuk menambah pengetahuan anak serta melatih kognitif dan motorik. Oleh karena itu, salah satu alternatif yang dapat digunakan untuk mengatasi permasalahan ini adalah diperlukannya suatu rancangan media pembelajaran interaktif dan menyenangkan  bagi anak usia dini melalui game  berbasis web, untuk menstimulus perkembangannya. Penelitian ini bertujuan untuk merancang media pembelajaran yang interaktif pada anak, pada penelitian ini media yang dikembangkan berupa game education berbasis construct 2 sebagai media penunjang pembelajaran pada anak usia dini dengan materi kenal angka, warna, hewan dan alat musik. Dalam hal ini anak yang bertindak sebagai pemain dapat belajar mengenai materi tersebut. Proses transfer pengetahuan dilakukan dengan cara menyelesaikan tantangan yang terdapat di dalam game. Kata kunci: media pembelajaran, contract 2, game, berbasis web                                                                                                                                                                                               Abstrct—Early childhood (0-6 years) is the golden age for children. Experts assess the need for meaningful stimulation so that children's early childhood can develop optimally. The role of stimulation in children must be prepared by educators, starting from parents, teachers, or other adults around the child. One alternative to stimulate optimal development in children is with the learning media obtained. But in fact learning media for early childhood are generally still conventional, such as using card media, and some physical toys to increase children's knowledge and train cognitive and motor skills. Therefore, one alternative that can be used to overcome this problem is the need for an interactive and fun learning media design for early childhood through web-based games, to stimulate their development. This study aims to design interactive learning media for children, in this study the media developed is in the form of educational games based on construct 2 as a medium to support learning in early childhood with material about numbers, colors, animals and musical instruments. In this case the child who acts as a player can learn about the material. The knowledge transfer process is carried out by completing the challenges contained in the game.  Keywords: learning media, contract 2, game, web-based