bluuebunny/crossref_metadata_2025 huggingface dataset:
Core Exercise Sama Baiknya dengan Balance Exercise Dalam Meningkatkan Keseimbangan Dinamis Pemain Futsal
Authors: Fatimah S Sitti , Winaya I Made Nico , Artini I Gusti Ayu
Published: January 2023

Futsal merupakan permainan yang membutuhkan keseimbangan dinamis yang baik karena pemain dituntut memiliki kemampuan permainan yang mencakup offence- defence, skill/ability, power balance, dan stamina/endurance. Keseimbangan dinamis dapat ditingkatkan dengan Core exercise dan Balance Exercise. Tujuan penelitian ini adalah untuk mengetahui efektivitas Core exercise dan Balance Exercise dalam keseimbangan dinamis pemain futsal. Desain yang digunakan pada penelitian ini adalah pre and post test group design. Subyek: 18 subyek sehat berusia 11-12 tahun, terbagi secara acak menjadi 2 kelompok. Kelompok I mendapatkan perlakuan Core exercise dan Kelompok II mendapat perlakuan Balance Exercise. Pelatihan dilakukan 3 kali seminggu selama 4 minggu. Keseimbangan dinamis diukur dengan menggunakan Y Balance Test sebelum dan sesudah pelatihan. Analisis menggunakan Paired Samples T-test dan Wilcoxon Signed Rank Test. Mann-Whitney U- Test (jangkauan kanan) dan Independent Samples Test (jangkauan kiri). Terdapat peningkatan bermakna pada kelompok I jangkauan kanan nilai p = 0,004 dan jangkauan kir inilai p = 0,008. Pada kelompok II juga terdapat peningkatan bermakna yaitu jangkauan kanan nilai p = 0,000 dan jangkauan kiri nilai p = 0,001. Nilai selisih rerata peningkatan keseimbangan antara kedua kelompok tidak ada perbedaan yang bermakna didapatkan nilai jangkauan kanan p = 0,200 dan nilai jangkauan kiri p = 0,747. Simpulan: Core exercise dan Balance Exercise sama baiknya dalam meningkatkan keseimbangan dinamis pada anak-anak Klub Futsal Muhammadiyah. Kata Kunci :Core exercise, Balance Exercise, Keseimbangan Dinamis
PENGARUH PEMBERIAN SMOOTHIES PISANG AMBON, NAGA MERAH, DAN MELON TERHADAP TEKANAN DARAH PENDERITA HIPERTENSI DI PUSKESMAS SOSIAL PALEMBANG
Authors: Prilistawaty Heny , Sartono Sartono , Eliza Eliza
Published: January 2023

Hipertensi atau tekanan darah tinggi merupakan terjadinya peningkatan  tekanan darah sistolik ≥140 mmHg atau dan tekanan darah diastolik ≥90 mmHg. Smoothies pisang ambon, naga merah, dan melon adalah terapi minuman tinggi kalium dan serat yang dapat membantu menurunkan tekanan darah. Tujuan penelitian yaitu untuk melihat adanya pengaruh pemberian smoothies pisang ambon, naga merah, dan melon terhadap tekanan darah penderita hipertensi di Puskesmas Sosial Palembang. Rancangan penelitian ini menggunakan rancangan pre-test and pos-test with control group. Jumlah populasi penelitian ini sebanyak 1072 orang didapat sampel sebanyak 68 orang. Hasil uji t- dependen bahwa rata-rata tekanan darah rata- rata tekanan darah sistolik dan diastolik sebelum perlakuan pada kelompok perlakuan yaitu 153,47 mmHg dan 99,32 mmHg, pada kelompok pembanding 156,55 mmHg dan 97,44 mmHg. Rata-rata tekanan darah sistolik dan diastolik setelah perlakuan pada kelompok perlakuan sebesar 131,63 mmHg dan 87,20 mmHg, pada kelompok pembanding sebesar 145,20 mmHg dan 90,50 mmHg dengan nilai p-value 0,000. Smoothies pisang ambon, naga merah, dan melon mempunyai pengaruh terhadap penurunan tekanan darah sistolik dan diastolik dengan selisih pada kelompok perlakuan yaitu 21,50 mmHg dan 12,11mmHg sedangkan kelompok kontrol 11,35 mmHg dan 6,94 mmHg.
Perkembangan Struktur dan Elemen-Elemen Pembentuk Ruang Tanah Pilih Pusako Batuah Pusat Kota Jambi
Authors: Permana Aria , Wongso Jonny , Triana Era
Published: January 2023

Kota tumbuh dan berkembang dalam rentang waktu yang lama, perkembangan kota berkaitan dengan dimensi waktu yaitu aspek kesejarahan yang berperanan penting dalam membentuk morfologi kota. Kota bukan hanya produk tetapi juga merupakan akumulasi proses manifestasi fisik dari kehidupan non fisik, yang dipengaruhi oleh sistem nilai dan norma-norma yang berlaku dalam masyarakat pada masa pembentukannya (Danisworo 1989). Pusat Kota Jambi, Tanah Pilih Pusako Batuah, terletak di cekungan sungai Batanghari yang merupakan urat nadi perekonomian pada masa itu. Pusat kota ini telah ada sejak masa Kesultanan Jambi abad ke-16 dan berfungsi sebagai pusat pemerintahan dan bandar perdagangan yang ramai dengan pelabuhan dagangnya (Pradjoko & Utomo, 2013). Pusat kota Tanah Pilih ini merupakan awal dari kota Jambi pada saat ini telah berkembang setidaknya melalui tiga periode: periode Kesultanan Jambi, Periode Kolonial Hindia Belanda dan Periode Kemerdekaan. Penelitian ini bertujuan untuk mengetahui perkembangan struktur dan elemen-elemen pembentuk ruang pusat kota Jambi selama tiga periode tersebut. Elemen-elemen tersebut terdiri dari jalan dan jaringan jalan, tata guna lahan dan bangunan. Metode yang digunakan dalam penelitian ini menggunakan metode deskriptif kualitatif dengan pendekatan morfologi diakronik-sinkronik, dimana penelitian ini ditujukan untuk mendeskripsikan suatu keadaan atau fenomena-fenomena kondisi faktual di pusat kota, pendekatan morfologi diakronik mencoba menelusuri asal usul kawasan berdasarkan kesejarahannya dan mencoba untuk me-spasialkan kedalam bentuk ruang kota, sehingga dapat diketahui faktor serta pengaruh adanya perubahan fungsi sekarang dengan masa lalu. Hasil penelitian ini menunjukan adanya pengaruh perkembangan struktur dan elemen-elemen pembentuk ruang pusat kota dengan kondisi geografis pusat kota, struktur sosial masyarakat dan sistem tatanan ekonomi.
Inovasi Desain dengan Menggunakan Bahan Bekas Peti Kemas untuk Pedagang Kaki Lima (PKL)
Authors: Rukayah R Siti , Giovano Fariz Addo , Abdullah Muhammad
Published: January 2023

Pedagang Kaki Lima (PKL) dikategorikan sebagai pedagang informal dengan keberadaannya di ruang perkotaan dianggap ilegal. Keberadaannya menempati daerah-daerah strategis di perkotaan seperti ruang terbuka kota, tepi jalan besar dan perumahan. Di Perumahan Banyumanik Semarang, keberadaan PKL menempati jalan besar dan area strategis menuju seperti pertigaan jalan menuju perumahan cluster dan lapangan terbuka. Keberadaan bangunan PKL yang tidak terdesain mengganggu sirkulasi dan visual lingkungan. Mereka telah ada sejak perumahan tersebut dibangun tahun 1990an. Namun keberadaan mereka hingga kini teramati  stagnan sebagai PKL. Setelah 40 tahun keberadaannya, bentuk bangunan masih sama non permanen dan belum ada kemampuan menyewa lokasi lahan/ pertokoan. Tujuan paper ini adalah membuat model desain PKL non permanen yang mendukung visual di lingkungan perumahan. Metode yang digunakan adalah metode survei dan metode perancangan dengan penggambaran arsitektur. Bahan yang digunakan untuk merancang PKL non permanen adalah shipping container/ peti kemas. Perkembangan teknologi yang didukung dengan kreativitas manusia, menghasilkan inovasi-inovasi penggunaan peti kemas untuk desain bangunan yang menarik. Rekomendasi riset adalah munculnya kepedulian arsitek untuk memanfaatkan peti kemas bekas sebagai bahan untuk membuat model bangunan.
Aspek-Aspek Arsitektur Tradisional dalam Landmark di Kota-Kota Besar di Indonesia
Authors: Angkasa Zuber , Kamil Erfan M , Iskandar Iskandar , Jaya Meldo Andi
Published: January 2023

Penelitian ini meninjau aspek-aspek arsitektur tradisional yang menjadi landmark di kota-kota besar di Indonesia dan popularitasnya dibandingkan landmark yang sepenuhnya modern dengan memeriksa jenis, aspek, kategori, dan daya tarik landmark di ibukota provinsi di Indonesia. Analisis deskriptif dan one-way ANOVA digunakan untuk mengklasifikasikan landmark dan memeriksa secara kuantitatif relasi antara landmark dengan daya tariknya bagi masyarakat kota. Hasil mengungkapkan bahwa 39 dari 121 landmark yang disurvai memiliki aspek arsitektur tradisional. Arsitektur tradisional dapat dilihat dalam aspek atap, bangunan, dan ornamen. Kategori landmark yang mengandung aspek arsitektur tradisional adalah masjid, museum, taman, jalan, kompleks bangunan, kuil/wihara/kelenteng, pura, benteng, keraton, monumen, dan pasar. Hasil analisis ANOVA menunjukkan bahwa landmark yang mengandung aspek arsitektur dan menonjol secara visual memiliki daya tarik lebih tinggi dari landmark yang hanya mengandung salah satu karakteristik tersebut. Hasil ini meningkatkan pemahaman mengenai pentingnya aspek arsitektur tradisional untuk diterapkan dalam desain landmark dan menyarankan penambahan aspek-aspek arsitektur tradisional pada landmark yang telah ada maupun pada desain landmark yang akan datang
MOTIVASI MEMBAGIKAN KONTEN TANAMAN HIAS DI SOCIAL NETWORKING SITES
Authors: Claudia Cyntia , Edwin Joseph
Published: January 2023

Covid-19 is a pandemic that acts as a catalyst for drastic lifestyle change for people around the world. Measures to limit the spread of the disease causes majority of Indonesians to work and study at home. This spurs the growth of social networking sites (SNS) usage. Stay-at-home order also gives rise to the popularity of ornamental plant collecting. The combination of the two activities is evident in the phenomena of posting contents about ornamental plant collection in SNS. According to uses gratification perspective, new communication technologies and the subsequent activities they facilitate function to satisfy the needs of the audiences. This research aims to explore the motivation typologies that are related to posting ornamental plant contents on SNS. Qualitative data was collected from 5 informants based on grounded theory procedures. Through semi-structured interview, three types of typologies were found. The first is classic typology that includes entertainment, pastime, identity management, social interaction and knowledge sharing. Second is expanded typology; social influencing and economic motivation. The third is emergent typology that includes sharing positivity. This article serves as a preliminary research that delves into communication phenomena during the Covid-19 pandemic. It is recommended that future research validate the typologies found by performing quantitative studies.
REPRESENTATION OF POWER AND IDEOLOGY ON JOKOWI'S SPEECH
Authors: Sutanto Haryo , Purbaningrum Dwi
Published: January 2023

A speech reflects the power and ideology of the communicator when it is delivered. It also has the representation of the social and political situation at the time it is delivered. The speech is about the successful handling of the Covid-19 Pandemic and the initial success of economic recovery among ASEAN countries. This research intends to open a new understanding of a speech discourse. A speech discourse can carry many meanings that are packaged in the representation of the power and ideology of the communicator. Having the ability to read the meaning behind a speech is an advance in building a civil society. The representation were analyzed through three level of analysis of critical discourse analysis. The first is to analyze text with features associated with the text as-a-whole, the second is to analyze text with features related to text at the sentence level and word level, and the third is to analyze the findings through contextual interpretation. The result of this speech analysis shows that Jokowi’s speech has represented the power of Indonesia as the next leader of ASEAN Chair in 2023 and the ideology of Indonesia to develop together with other Southeast Asia countries in ASEAN.
ANALISIS JARINGAN KOMUNIKASI OPINI PUBLIK PADA FENOMENA “PEMECATAN Dr TERAWAN” DI TWITTER
Authors: Al Majid Agus Rafi , Nugroho Widyo
Published: January 2023

This study aims to determine the system-level communication network and actors on the “Terawan” link and to find out public opinion about this phenomenon and how the IDI organization reacts in responding to public opinion. By using the theory of Computer Mediated Communication (CMC). The method used in this research is a quantitative approach with the method of Social Network Analysis with Netlytic and Gephi and content analysis. The population used in this study are active Twitter users, with a maximum sample of 2500 obtained from Netlytic. The results showed that this network has 1969 Nodes and 1991 Edges, with 5 large clusters in this network. This network has a value of Diameter 19, Destiny 0.000604, Reciprocity 0.011160, Centralization 0.107200 and Modularity 0.810800. The most influential actor in this network is @heraloebs with a Degree Centrality value of 391 and an Eigenvector Centrality value of 1.0. Therefore, this network includes a network that is widespread in the distribution of information, with influential actors in the distribution of information such as @heraloebss. While the focus of communication carried out by the IDI organization in responding to public opinion regarding the phenomenon of “Dr Terawan’s dismissal”
SELF DISCLOSURE DAN PERFORMATIVITAS KAUM LESBIAN ANDRO PADA MEDIA BARU (TIKTOK)
Authors: Arzil Andrine Prima Afneta
Published: January 2023

This research is a scientific analysis of media which is closely related to social practices that occur in society as well as representation of gender identities in digital media. This research was conducted to determine the discourse of self disclosure, physical and appearance performativity, homosexual talk performativity, and sexual activity performativity displayed by lesbian (andro) on her new media accounts (Tik Tok) and how Tik Tok is interpreted as a medium of resistance lesbians today. By using a qualitative research methodology, this study puts itself in a digital ethnographic approach. The data collected in this digital ethnographic study is in the form of in-depth and comprehensive observations of 227 video content uploaded by creators, making transcripts on each content then categorized, and conducting analysis in accordance with research objectives. Through audio-visual that legitimize their performativeness, from here, their identity is formed, reshaped, displayed, and conveyed to the mass audience through self-disclosure. Thus, this actualization event leads to resistance. The body is not only understood as a plate on which sexuality and gender are formed, but gender and sexuality itself are labeled into the body. Identity, then, is formed performatively through discourse. Gender identity is an effect produced by individuals because it displays gender act practices.
FENOMENA MEMANCING KESEDIHAN DI MEDIA SOSIAL (SADFISHING) PADA LITERASI DIGITAL REMAJA
Authors: Hamzah Radja Erland , Putri Citra Eka
Published: January 2023

The phenomenon of sadfishing has created a new trend for social media users in Indonesia, where each user seems to have an urge to show his sadness in order to attract sympathy from many people on social media. The act of sadfishing has an impact on the mental health of the perpetrators, including children and adolescents. Lots of Sadfishing content seems to be a common reaction for someone who is going through a difficult time or pretending to be having a difficult time to get viral on social media. This study aims to explain how  to  digital literacy for social media users can change public opinion in limiting themselves from the sadfishing phenomenon on social media. The type of research used is descriptive qualitative, with a case study method and data collection techniques by interviewing several high school students and university students in Jakarta. The results of the study found that the audience is in the position of The Dominant-Hegemonic Position or the audience is in a position to accept that digital literacy is able to educate and change the opinions of social media users, especially among teenagers to avoid the phenomenon of provoking sadness on social media.
REBRANDING POSAJA DALAM MEMBANGUN BRAND AWARENESS MELALUI INSTAGRAM @posaja.official
Authors: Rachmalia Wina Novita , Putra Dedi Kurnia Syah
Published: January 2023

This study explains how the strategy communication carried out by Pos Indonesia in the socialization of PosAja's rebranding. The socialization conducted through social media Instagram, this research was conducted because of the importance of socialization to build brand awareness from the public for PosAja. This research was carried out with qualitative approach, using the case study method. The data collection used is observation and interviews to obtain the results studied. Researchers will analyze strategies communication uses four stages. Getting to know the audience, compiling messages, establishing methods, and evaluation of communication. The results of this study indicate that the effective communication strategy running according to the four stages can be said to be appropriate. But the results on the evaluation that the socialization carried out still feels lacking and needs to improve how internal operating system that is done by the IT division. This needs to be done so that the products being developed is currently running according to the company's wishes, namely the wider community knows products from Pos Indonesia and the community uses the service in accordance with the vision and mission PosAja, which is to make those users a friend to a reliable friend in delivering goods to their destination.
Szerves foszforsavészter-alapú idegmérgek a növényvédelemben
Authors: Nagy Rudolf
Published: January 2023

A vegyi fegyverek és a növényvédőszerek kapcsolata évezredekre nyúlik vissza. A halászó és vadászó elődeink is alkalmazták már a természetes növényi mérgeket, amelyeket a növények a kártevőkkel szembeni védelemre  termelnek. A kémiai tudományok fejlődésével a modern értelemben vett és szintetikusan előállított növényvédő szerek is többnyire ezeknek az anyagoknak a hatásmechanizmusát kívánták lemásolni. Az e célból végzett kísérletek eredményei vezettek el a mérgező harcanyagok egyik legtoxikusabb válfajának, a szerves foszforsavészter-típusú idegmérgek katonai arzenálban való megjelenéséhez. Mára már az e kategóriába sorolt növényvédőszer-készítményeknek nemcsak a kémiai biztonság vagy a közegészségügy oldaláról kell figyelmet  szentelni, de a közbiztonságra gyakorolt veszélyességük is felmerül. E cikkben a szerző a rovarirtó szerként a mezőgazdaságban is csak korlátozottan alkalmazható ezen idegmérgek felhasználásának biztonságát érintő  részleteket ismerteti.
Béléstestek készítésének technikai lehetőségei alacsony sűrűségű anyagból
Authors: Ember István , Ádám Balázs
Published: January 2023

A kumulatív töltetek béléstestei alacsony sűrűségű anyagokból is készülhetnek. Ezek a típusok a hagyományosaktól eltérő hatékonysággal rendelkeznek. Azonban van egy kifejezetten nagy előnyük. 3D nyomtató segítségével viszonylag egyszerűen elkészíthetők, és tervezésük sem igényel kiemelkedő technikai szaktudást. Tanulmányunkban megvizsgáljuk néhány változat méretezésének és kialakításának lehetőségeit. A félgömb és  a kúp alakzat alkalmazása bevett gyakorlat a kumulatív töltetekben béléstestként, ezért mi is ezeket választottuk ki. Célunk, hogy könnyen kivitelezhető módszert találjunk az ipari és katonai felhasználóknak egyaránt ezek elkészítésére.
Automata sebességváltóban alkalmazott kapcsolt bolygóművek – Wilson-váltó
Authors: Hegedűs Ernő , Gyarmati József , Gávay György
Published: January 2023

Napjainkra az automata sebességváltók széles körben elterjedtek, nemcsak a polgári életben, de a katonai alkalmazásban is. A nagy tömegű lánctalpas harcjárműveken szinte kizárólag ilyen sebességváltót alkalmaznak. Jelen tanulmány ehhez kötődően ismerteti a Leopard 2 harckocsiban is alkalmazott Wilson-kapcsolást, illetve ennek oktatási célú 3D nyomtatott modelljét.
A case study: novice English teachers’ problems in Transcarpathia
Authors: Orosz Melania , Huszti Ilona , Hladonik Gergely
Published: January 2023

The study presented in this article focuses on the topic of novice English teachers and the difficulties they experience during the first years of their teaching career. Based on the academic literature, we have defined the construct of a novice teacher as someone who has been teaching for a period from zero up to two years. Our main research aims were to investigate what difficulties novice English teachers in Transcarpathia encounter and suggest possible ways of solving these problems. The participants of our case study were eight English teachers having the novice status in the schools where they worked. They were each asked to fill in a questionnaire as the instrument of our research. One of our hypotheses (classroom management and implementing the curriculum are the primary problems of novice teachers) was supported by the research data, whereas the other one (little meaningful and adequate professional support is obtained by novice teachers in the workplace) was refuted. The findings indicate that the most problematic issues for novice teachers at the start of their career are keeping discipline in the classroom and maintaining learner motivation. The most crucial implications of the study include the following: novice teachers are advised to engage learners in learner-centred learning activities. From the very beginning they have to develop their routines and rules must be introduced for maximum learner achievement. Several techniques serve the teachers to maintain interest, motivation, attention and to prevent disruptive behaviour which they have to make use of in the classroom. We are fully aware of the fact that because of the small sample of the case study its findings are not generalizable for the whole population of novice teachers. However, we do hope that the issues highlighted in this paper can be of help to novice teachers who have just started their teaching career and have experienced similar problems.
Rice Leaf Disease Detection using Machine Learning
Authors: Dr. Tukaram Chavan  , Dr. D. B. Lokhande  , Prof. D. P. Patil
Published: January 2023

Agriculture has a critical part in the country's economic development; hence it is critical to ensure its advancement. The rice is prime meals of more than 60% of the Indians as it is the key grains in India. The reach of varied diseases in rice plant’s have increased from past some years. There's a diversity of pathogens such as Bacterial, Fungal, Viral and they can damages the plant parts like leafs from above and the bottom side. The factors like light, water, temperature, radiation, atmosphere, humidity, acidity of soil and water affects natural growth of plants. It's observed that, the Rice plant’s diseases are the main contributors in the reduction of production and quality of food. Recognition of such diseases may improve Production. These crop diseases are creating troubles for farmers for low output and economic loss and agriculture industry. So, it's need of ours to detect these diseases as early as possible. However, image processing backgrounds hinder the diagnosis of rice plant illnesses. A new study could use CNN to identify rice leaf disease. To diagnose rice leaf diseases, we present a 6 Layered CNN based model. We use here a novel dataset of field data and Kaggle dataset for rice leaf disease images.
A Review on Data Mining Concepts and Tools
Authors: Dr. L. C. Manikandan  , Dr. R. K. Selvakumar
Published: January 2023

Data mining is a powerful new technology with great potential to help companies focus on the most important information in their data warehouses. It is well-known that data mining is a significant sub-field of knowledge management and that it is one of the most important information exploration phases in the database cycle. Over the ensuing decades, the practice of data mining will increase in market and learning companies. An introduction to the fundamentals of data mining is provided in this paper.
A Review on Machine Learning-Based Algorithms for Heart Disease Diagnosis and Prediction
Authors: Aatiq Ali  , Dr. L C Manikandan
Published: January 2023

This work concentrates on different machine learning techniques that can be applied for the early diagnosis of heart diseases. Different Machine Learning Algorithms like KNN (K-Nearest Neighbour), Decision tree, Logistic Regression, Support Vector Machine, Random Forest and Naïve Bayes are used for prediction and detecting heart disease. The main purpose of this survey is to pay our attention towards machine learning techniques for diagnosing heart diseases in an efficient and effective manner.
Approximate solution of Fredholm Integro Differential equation using Quadrature Formulas methods
Authors: Rawaa I. Esa
Published: January 2023

There are two reasons for this research, the first which is the main was to clarify the use of a closed quadrature formulas included ( Trapizoidal , Simpson’s 1/3 rule and Simpson’s 3/8 rule )which are the most familiar formula of numerical integration ,to evaluating the integral part to find the approximate solution of the 2nd kind of FIDE’s of the 1st order and reducing it to linear system of (n) equation with n unknowns of the solution sample value y(ti) ,i=0,1,2,3,…,n .The other reason was to explain the differences between three Quadrature formulas in solving equation according to the specified period , has been clarified through examples.
Finally, Acomparison was made between the three methods ,programs for methods were written in MATLAB language and examples with satisfactory results are given .
Comparing Efficiencies of Different Logical Approaches of Crossing a Stop Light
Authors: Rishith Singhagra  , Dr. Andrew Haas
Published: January 2023

As humanity has advanced, cars have become increasingly common on roads, and vehicle activity has skyrocketed. This shift has naturally created requirements for stop light systems to be implemented to control traffic flow through intersecting routes. This paper tackles the issues such as efficiency and pollution that arise due to the existence of these stop lights by exploring more efficient methods for a car to approach a stop light to save time and fuel. The different approaches are all basic logical methods tested in iterative simulations. I then found the best approach to travel from point A to point B when there is a stop light between the two points whose timing is dictated by a probability distribution.
Flood Control of Kupang River, Pekalongan
Authors: Jehandyah Erma Pahlevari
Published: January 2023

The local community in Pekalongan suffered financial losses as a result of the Kupang River flood. To control floods in the Kupang watershed, this research aims to identify the most effective way to lower the discharge that flows downstream due to heavy rainfall. HEC-HMS modeling was used to analyze flood discharge. The result from an analysis of flood discharge in the existing conditions downstream of the Kupang River with a 100-year returns period is 641.6 m3/s. This study will include 9 locations of the potential reservoir as flood control that will be simulated using small dams and dry dams. The discharge analysis results from modeling a small dam can reduce the discharge by 261.9 m3/s, or 40.8%. On the other hand, the dry dam simulation can reduce flood discharge by 406 m3/s, or 64.8%. According to the analysis's results, using a dry dam to reduce the amount of water that is discharged into the upstream watershed is the most efficient way to manage floods. As a result, the dry dam method is ideal for controlling floods from the Kupang upstream watershed.
A Novel Prediction Model for Cryptocurrency Trend Analysis Based on Time Series Data by Using Machine Learning Techniques
Authors: N Akshay Reddy  , B Sri Krishna Sai  , S Srimanth Chary
Published: January 2023

Bitcoin is a form of cryptocurrency that has come to be a famous inventory marketplace funding and it's been gradually growing in current years, and every now and then falling without warning, at the inventory marketplace. Because of its fluctuations, an automatic device for predicting bitcoin at the inventory marketplace is required. However, due to its volatility, traders will want a prediction device to assist them make funding selections in bitcoin or different cryptocurrencies. In this paper, Deep gaining knowledge of mechanisms like Recurrent Neural Network (RNN) and Long short-time period memory (LSTM) is proposed to broaden a version to forecast the bitcoin charge fashion withinside the marketplace. Finally, the predictions end result for the Bitcoin charge fashion are supplied over the subsequent 15, 30, and 60 days. Each version is evaluated in phrases of Mean Absolute Percentage Error (MAPE) and Root Mean Squared Error (RMSE) forecasting blunders values. The LSTM version is observed to be the higher mechanism for time-collection cryptocurrency charge prediction, however it takes longer to compile. The goal of this project is to show how a trained machine model can predict the price of a cryptocurrency if we give the right amount of data and computational power. It displays a graph with the predicted values. The most popular technology is the kind of technological solution that could help mankind predict future events. With vast amount of data being generated and recorded on a daily basis, we have finally come close to an era where predictions can be accurate and be generated based on concrete factual data. Furthermore, with the rise of the crypto digital era more heads have turned towards the digital market for investments. This gives us the opportunity to create a model capable of predicting crypto currencies primarily Bitcoin. This can be accomplished by using a series of machine learning techniques and methodologies.
The Role of Artificial Intelligence in Customer Satisfaction at Raipur City Chhattisgarh
Authors: Dr. R. Shridhar  , D. Amogh
Published: January 2023

The millennial generation was born during a period of rapid technological adoption and development. This generation has become accustomed to utilizing technology to gather information and even make purchases. It's fascinating to learn about the aspects that influence the millennial generation's purchasing decisions. This study utilized artificial intelligence and digital marketing to collect data on the purchasing habits of the millennial population. 97 individuals were chosen for the study by purposive sampling. SEM is a technique for analyzing research data. The findings indicate that artificial intelligence and digital marketing have an effect on customer purchase intention.
Optimal Threshold for Automatic Slice Thickness Measurement using Images of the American College of Radiology (ACR) CT Accreditation Phantom
Authors: Dewi A. Insiano  , Choirul Anam  , Eko Hidayanto  , Ariij Naufal  , Anisa T. Maya
Published: January 2023

This study aims to find the optimum threshold for the automatic measurement of slice thickness using ACR CT accreditation phantom. The ACR CT accreditation phantom was scanned using Siemens Somatom Perspective CT scanner. The nominal slice thicknesses of 1.5, 3, 5, 6, 7, and 10 mm were investigated. Our automated method was developed to obtain accurate slice thickness values. Several threshold values from 0.10 to 0.50 with increment of 0.05 to find optimum value were investigated. The results obtained from each threshold were then compared with the nominal slice thickness to determine the optimal threshold value. It is found that the optimum threshold in the automatic measurement of slice thickness with nominal slice thickness values from 1.5 to 10.0 mm is from 0.35 to 0.40. Using this range, the different between the nominal slice thickness and measured slice thickness is within 0.5 mm. The optimal threshold for automatic slice thickness measurement has been determined. The optimal threshold would lead to more accurately automated slice thickness measurement.
A Study of Hadoop and Mapping Approach Techniques on Big Data Strategies
Authors: Ms. Kamal Verma  , Prof. (Dr.) R. K. Bathla
Published: January 2023

Research is an art of scientific examination. The advance learner’s vocabulary of current English lays down the meaning of research as “A careful exploration and enquiry especially through search for new facts in any branch of knowledge. Bradman and Morry define research as “A standardize efforts to increase new knowledge”. Research is, thus an original contribution to existing stock of knowledge making for its advancement. It is detection of truth with the help of study, observation, comparison, and experiments. The technologies that give support to the entire process of cost-effectively storing and processing data, and utilize internet technologies in a scattered way have arisen in the past few years. NoSQL and Cloud computing are the renowned ones that improve the potential offered by Big Data Technologies. Map Reduce is a software manufacture introduced by Google to act upon parallel processing on large datasets supercilious that large dataset storage is distributed over a large number of machines. Each machine computes data stored locally, which in turn contributes to distribute and parallel processing. This paper focuses on the Big data and Cloud services using impact of Map Reduce Algorithm and very advantageous for the researchers and corporate sectors who are using Map Reducing System technology.
Study of Stability of Equilibrium Points in The Pcr3bp on the Circumference of FEC
Authors: Vikash Kumar  , Dr. K. B. Singh  , Dr. M. N. Haque
Published: January 2023

The Three Body Problem The three body problem studies the motion of three masses whose gravitational attraction have an effect on each other. The dynamics of the three-body problem are essentially different from those of two bodies, because in the latter case, an analytical solution may be found that admits orbits in the form of conic sections. This problem has been studied at great length and is the basis of most of today’s orbit planning and trajectory design for satellites. However, the two-body problem is valid on close to a single massive body, compared to which the target body (the object whose motion is desired) is essentially a massless particle. In deep space, when there may be two or more massive bodies to affect the motion of our test particle, the two-body solution obviously fails. It then becomes essential to study the three-body problem.
Agricultural Investment and Economic Growth
Authors: Dr. Swarooprani K
Published: January 2023

A financial reserve is one of the key rudiments to this transition. Financial supply is a very significant, if not the most significant, factor in economic growth. Farmers need financial source to buy better agricultural inputs and farm equipment so that they can augment their output and income height and break the cycle of scarcity. Farmer’s asset in these technologies cannot be real lacking having in place organization and systems that are able of sufficiently providing rural financial military to farmers. So, the attempt to develop agriculture could experience in the deficiency of a strong monetary base that aims at increasing access to credit for small farmers. Unhappily, the state of rural monetary markets in rising countries is characterized by inadequate accessibility of financing for both agricultural and non-agricultural activities. Very little of the rural populations have admission to financial military because saleable banks consider lending to small farmers as a risky commerce and because providing financial military to rural citizens is careful to be more costly and tricky. Lending to small farmers involves high contract costs. They lack conventional security and the executive skill and do not keep records. India is characterized by a cruel circle of poverty (low productivity, low profits, low savings and therefore low productivity). In order to break this cycle of scarcity and raise efficiency inoculation of capital could play a major role. Praise is the only instrument for small farmers to obtain the desired assets goods for manufacture and to break the cruel cycle of poverty and raise their efficiency and level of income. Ethiopia should forever give priority to the peasant cultivation in its nationwide development pains since growth cannot take place devoid of giving meticulous consideration to the conventional of the rural populace. In a country where agriculture account for a main amount of economic behavior and employs a great proportion of the population augmented availability of credit to the sector would lead to increased production and growth. Therefore, in order for cultivation to efficiently meet the challenge of being an engine of growth credit should be made obtainable and accessible to farmers in scrupulous.
AI In Advance Driver Assistance System
Authors: K. S. Dhruva Teja  , P. Saketh Sree Ram  , K. Vamshivardhan  , R. Roopam Chowdhury
Published: January 2023

Perhaps of the most encouraging sub-capability in the field of savvy traffic frameworks is the High-level Driver Help Framework which is termed as ADAS. Many high-level wellbeing highlights are accessible in new vehicles. Airbags, safety belts and any remaining essential aloof wellbeing highlights are standard. Vehicles are currently frequently furnished with cutting edge dynamic wellbeing frameworks that can forestall mishaps. The conceivable outcomes of cutting-edge help frameworks are continually growing. People assume a significant part in this cycle and are additionally the most vulnerable connection as 90% of mishaps are brought about by human mistake and lack of regard. Various mishaps are accounted for each year because of unnecessary speed and unfortunate driving choices. The vast majority of these can now be tried not to by use the wellbeing highlights remembered for cutting edge driver help frameworks.
A High-Performance Full Adder Design with Low Area, Power and Delay
Authors: Dondapati. Bindu Sree  , K. Rajasekhar
Published: January 2023

A new one-bit adder architecture is described that may be used with a variety of logics, including Static CMOS, transmission gates, the Transmission Full Adder (TFA), and the New-14T Gate Diffusion Input Method (GDI). The Modified Gate Diffusion Input Method (MGDI) is used to suggest a novel structure design for a full adder. The full adder circuit is used in the Modified Gate Diffusion Input Method (MGDI), and experimental results demonstrate its superior performance compared to traditional methods. Full adders with multistage arrangements are also considered, as their performance may differ from that of a 1-bit full adder. As a result, two applications of multistage full adder structures, the ripple carry adder (RCA) and 6:2 compressor are used to analyze the findings. The power, area and delay are reduced by around 40% when compared to the existing methods. All the designs are simulated using Tanner EDA. The proposed full adder has a lower transistor count (6 or 7 transistors), lower power dissipation, and less delay than previous designs, according to simulation data.
Effect of Copper on Soil, Growth and Metabolites in Spinacia oleracea L.
Authors: Vinalkumari Patel  , Deepti Sharma  , Suhani Parekh  , Archana Mankad
Published: January 2023

This study explored the effects of foliar Spray of selected plant growth regulators (PGRs) on Spinacia oleracea L. and it is used as Copper sulfate at 50,100,150,200,250 ppm. Two sets of selected plants were prepared, one of them was treated with different concentration of copper and another set was kept as control. The analysis of foliar treated plants revealed the content of Total sugar (TS), Reducing Sugar (RS), Total protein (TP), Total Phenol (TPH), Total chlorophyll (TC).The physiological parameters which were measured are Height of Plants, Fresh weight of Roots, Fresh weight of leaves, Number of leaves. Soil parameters (Soil pH, Electrical conductivity, Organic carbon and Nitrogen, Boron and Sulphur, Potassium, phosphorous, Zinc, Copper and Iron) were also measured. From the result it was observed that plant growth in treated plants was better than control plants. There was a positive change in plant Growth.
Heart Disease Prediction using Machine Learning
Authors: Prof. Sachin Sambhaji Patil  , Vaibhavi Dhumal  , Srushti Gavale  , Himanshu Kulkarni  , Shreyash Wadmalwar
Published: January 2023

The correct prediction of cardiovascular disease can prevent life threats, and incorrect prediction can prove to be fatal at the same time. Heart disease, also known as cardiovascular disease is one of the complex diseases and globally many people suffered from this disease. It is one of the major causes of mortality worldwide, can be mitigated by early heart disease diagnosis.
However, the mortality rate can be drastically controlled if the disease is detected at early stage and preventive measures are adopted as soon as possible. In the modern world, there are some revolutionary advancements within the field of medical science and research and this can be no totally different for ECG. Electrocardiogram (ECG) gives useful information about morphological and functional details of heart which is used to predict various cardiac diseases. In this article, we proposed an efficient and accurate system to diagnosis heart disease which is based on machine learning techniques. Raw ECG signal contains useful features which can be used to detect different heart diseases. The various ECG parameters like heart rate, age, sex, cholesterol level, blood pressure, ST interval of ECG signal are used for analysis. Several machine learning (ML) algorithms have been used for cardiovascular disease prediction. Machine Learning is employed across several ranges around the world. The healthcare business isn't any exclusion.
Surface Maintenance Analysis of Module PV
To Improve Solar PV Performance
Authors: Adrian Mansur  , Heri Sutanto  , Jaka Windarta
Published: January 2023

The performance and reliability of the SPP module plays an important role in increasing the lifetime of the SPP module, together with the investment period, as an indicator that directly reduces the electricity cost or Levelized Cost of Energy (LCOE) of each SPP installation. In this study the aim was to analyze the effect, relationship and differences in changes in surface dirtiness of the module on the performance of the 50 kWp SPP UPDL Makassar both through frequency intervention and maintenance methods. The results showed that the most optimal maintenance method was the rubbing method with optimal time and cost maintenance in a period of 2 weeks, besides that if maintenance was carried out before entering the rainy season, the module cleanliness pattern was in accordance with previous conditions, even though the amount of output produced was smaller due to reduced radiation values. This study also shows that one of the significant factors on the output of SPP is the impact of shadows on the surface of the module.
Convolutional Neural Network Based Dog Breed Classification
Authors: Syed Aamir Bokhari  , Progyajyoti Mukherjee  , Abhishek Samar Singh  , Suhail Shaik  , Prof. Jimsha K Mathew
Published: January 2023

One of the most popular domestic animals is the dog. Numerous problems, including population control, a decline in disease outbreaks like rabies, vaccination oversight, and legal ownership, are brought on by the abundance of dogs. There are currently around 180 different dog breeds. Each breed of dog has unique traits and health issues. It is crucial to identify people and their breeds in order to administer the proper therapies and training. Machine learning provides the ability to train algorithms that can tackle the challenges of information classification and prediction based only on newly emerging information as raw data. For the categorization and detection of images, Convolutional Neural Networks (CNNs) provide a single, widely utilized method. In this effort, we establish a CNN-based method for identifying dogs in potentially complicated photos, and as a result, we consider only one of the types of dog breed identification. The graphical depiction demonstrates that the algorithm (CNN) delivers good analysis accuracy for all the examined datasets because the experimental outcome analysis confirmed the conventional metrics.
Analysis of Loan Eligibility for a Prospective Retail Borrower
Authors: Sanjay Basu  , Divyesh Jaiswal  , Sai Danoosh  , Dr. Prianka RR
Published: January 2023

This project aims to offer an individual a general estimate or idea as to the viability of home loan repayment for the loan amount incurred. This is achieved by taking into consideration the individuals qualitative and quantitative parameters. As a thumb rule, one's insurance pay out shouldn't exceed more than thirty-five percent of their income. An individual's probable EMI amount can amount to fifty percent of one's salary as per the general bank standard.
Design and Implementation of Digital Twin Data Engine
Authors: Wang Lei , Lei Ning , Peng Tao , Zhang Xiaona , Zhang Dehui , Li Pin
Published: January 2023

With the advent of the digital twin era, the construction of digital twin engine based on basic twin data plays a very important role in future application scenarios such as intelligent monitoring, dynamic perception, scientific evaluation, intelligent prediction and intelligent decision-making. This paper mainly analyzes the definition of digital twin, the definition of digital twin model, data characteristics and the application scenario of digital twin, and puts forward a design framework and implementation method of digital twin data engine.
Experimental and Analytical Study on the Force-carrying Process of the Sand-collecting Shovel
Authors: Wang Zhenxing
Published: January 2023

The sand-collecting shovel is an important part of the track sand removing vehicle. In order to analyze the force changes during the sand collecting process, and get an optimization method of its structure, the paper took the method of the combination of experiment and numerical simulation. The sand test bench was designed and built to simulate the sand-collecting working process. Because the torque reflected the force of the shovel during the sand-collecting working process, the torque received by the sand collecting shovel was measured. Using the method of coupling discrete element and multi-body dynamics method, the force of the straight blade, 15 degree the 30 degree blade under the same working conditions were simulated and analyzed in the X, Y and Z directions. The experimental result was similar to the simulation results, which proved the feasibility of the coupling method of discrete element and multi-body dynamics to research the interaction mechanism between the sand and shovel. Then, the force of shovels working in the depth of 50mm and 70mm were simulated and the values were compared. It can be seen that changing the edge angle caused a different force regular changing of the blade in three directions, but the total force of the sand collection was reduced. The research results provided a theoretical basis for the structural optimization of the sand shovel and have an important guiding significance for relevant mechanical design.
Design and Research of Teaching and Training Platform Based on Industrial Internet and Intelligent Manufacturing
Authors: Xie Xiaohua
Published: January 2023

Industrial internet and intelligent manufacturing application training platform is a comprehensive teaching and training platform for industrial internet, which contains a complete industrial internet architecture, including: sensing equipment, actuator, wireless sensor network, wired sensor network, industrial master control organization, industrial Internet cloud platform, industrial big data analysis platform. The industrial internet application technology training platform uses emerging technologies such as industrial internet, embedded, big data, mobile application, artificial intelligence, intelligent manufacturing, and built-in industrial internet cloud platform to provide teaching, practical training and scientific research support for the upgrading and reform of relevant disciplines in vocational colleges. The industrial internet and intelligent manufacturing training platform provides hardware and software resources with three layers of architecture, including equipment layer, platform layer and application layer, providing supporting teaching and practical training resources for related teaching. Industrial internet application technology training platform can meet the needs of industrial Internet teaching and training courses, including: "Industrial Ethernet and Network Equipment", "Network Security Technology", "Industrial Internet of Things", "Industrial Automation Control", "Network System Software Design", "Machine Vision Technology", "Manufacturing Execution System (MES) Application Technology" and so on.