bluuebunny/crossref_metadata_2025 huggingface dataset:
Penggunaan E-Learning pada Guru Ekonomi di Bandar Lampung
Authors: Hestiningtyas Widya , Nurdin Nurdin , Pujiati Pujiati , Rufaidah Erlina
Published: September 2022

Pembelajaran merupakan sebuah proses yang menjadi kunci tercapainya tujuan belajar. Apabila proses pembelajaran yang dilakukan baik maka hasil belajar akan baik.. Agar pembelajaran berjalan dengan baik guru perlu mempersiapkan sumber, media, model, metode dan teknik pembelajaran yang disajikan dalam perangkat pembelajaran. Namun, saat keadaan seperti saat ini yang dilanda pandemi kegiatan belajar mengajar tidak bisa dilaksanakan dengan tatap muka, untuk itu pembelajaran dalam jaringan menjadi suatu pilihan. Melalui pelatihan E-Learning diharapkan guru memiliki kemampuan dan dapat melaksanakan pembelajaran dengan metode e learning. Penelitian ini bertujuan untuk mengetahui pengaruh pelatihan e learning terhadap pemahaman dan keterampilan pembelajaran e learning. Metode yang digunakan adalah deskriptif kuantitatif. Sampel dalam penelitian ini adalah guru-guru ekonomi di Bandar Lampung yang berjumlah 16 orang. Hasil penelitian menemukan bahwa adanya pengaruh positif dan signifikan  setelah mengikuti pelatihan e learning terhadap pemahaman dan keterampilan dalam penggunaan metode pembelajaran e learning.
Kesantunan Linguistik dan Kesantunan Pragmatik dalam Tuturan Imperatif Peserta Didik
Authors: Pratiwi Candra
Published: September 2022

Penelitian ini dilakukan untuk mengetahui kesantunan linguistik dan kesantunan pragmatik yang digunakan oleh anak usia sepuluh tahun pada jenjang sekolah dasar. Tujuan penelitian ini untuk mendeskripsikan kesantunan linguistik dan kesantunan pragmatik dalam tuturan imperatif anak usia sekolah dasar. Penelitian ini menggunakan desain deskriptif  kualitatif. Sumber data dalam penelitian ini adalah seorang anak berusia sepuluh tahun yang sedang menempuh pendidikan di sekolah dasar. Data dalam penelitian ini berupa kesantunan linguistik dan kesantunan pragmatik dalam tuturan imperatif oleh subjek penelitian. Hasil penelitian menunjukkan bahwa kesantunan dalam tuturan imperatif yang dituturkan oleh subjek penelitian dilakukan dengan dua bentuk kesantunan, yaitu kesantunan linguistik dan kesantunan pragmatik. Kesantunan linguistik  terlihat dari tiga bentuk, yakni dari panjang-pendek tuturan, urutan tutur dan penggunaan ungkapan-ungkapan penanda kesantunan yang digunakan oleh subjek penelitian. Sementara itu, kesantunan pragmatik dalam tuturan imperatif anak usia sekolah dasar diwujudkan dalam dua bentuk tuturan, yakni tuturan deklaratif dan tuturan interogatif. Kesantunan pragmatik imperatif dalam tuturan deklaratif berupa tuturan deklaratif ajakan, sedangkan kesantunan pragmatik imperatif dalam tuturan interogatif diwujudkan dalam bentuk pertanyaan.
Peran Guru dalam Menanamkan Nilai-Nilai Karakter kepada Siswa SD Negeri 20 Way Serdang Selama Pembelajaran Daring di Masa Pandemi Covid-19
Authors: Saputra Muhammad Adi , Purwasih Atik , Wati Arista , Anggraini Lusi
Published: September 2022

Masa pandemi covid 19 menjadi tantangan tersendiri untuk lingkungan pendidikan agar tetap dapat menjalankan fungsinya. Meski dengan pembelajaran daring lingkungan pendidikan tetap diharapkan dapat menanamkan nilai-nilai karakter untuk peserta didik. Hal ini menarik perhatian peneliti untuk melakukan penelitian ini. Adapun tujuan dari penelitian ini yaitu untuk mengetahui gambaran sekaligus peran para guru dalam menanamkan nilai-nilai karakter kepada siswa SD Negeri 20 Way Serdang selama pembelajaran daring dimasa pandemi Covid-19 berlangsung.  Subjek pada penelitian ini yaitu para guru dan siswa di SD Negeri 20 Way Serdang. Instrumen yang digunakan dalam penelitian ini adalah Observasi dan wawancara dengan para guru di SD Negeri 20 Way Serdang serta studi pustaka sebagai sumber pendukung. Data yang diperoleh dalam penelitian ini kemudian diolah dan dianalisis secara deskriptif kualitatif. Hasil penelitian menunjukkan bahwa guru di SD Negeri 20 Way Serdang memiliki peranan yang sangat penting dalam proses kegiatan pembelajaran terutama terkait dengan penanaman nilai-nilai karakter kepada siswa selama pembelajaran daring akibat pandemi Covid-19 berlangsung. Nilai-nilai karakter yang ditanamkan meliputi nilai religius, disiplin, mandiri, gemar membaca dan kerja keras. Dengan penanaman nilai-nilai karakter ini diharapkan dapat meningkatkan kemampuan siswa diranah afektif. Sehingga tujuan pembelajaran akan tercapai secara seimbang baik dari segi kognitif, afektif maupun psikomotor.
Manajemen Konflik Dalam Menyelesaikan Konflik di Dalam Organisasi Risma Di Desa Makarti Kecamatan Tumijajar
Authors: Taufiquzzaman Nikmatullah , Wajilah Suni Nurul , Lisdiana Anita
Published: September 2022

Penelitian ini bertujuan untuk mengkaji bagaimana manajemen konflik dalam menyelesaikan konflik yang terjadi di dalam organisasi RISMA. Dalam penelitian ini akan membahas apa saja  langkah-langkah dalam menejemen konflik yang perlu dilakukan untuk menyelesaikan konflik dalam organisasi RISMA, kemudian dalam penelitian ini juga membahas bagaimana peran menejemen konflik dalam menyelesaikan konflik yang ada dalam organisasi RISMA tersebut. Dalam penelitian tersebut metode penelitian yang digunakan adalah metode penelitian deskriptif hasil dari penelitian tersebut yaitu, terdapat lima langkah-langkah yang di lakukan dalam menejemen konflik untuk menyelesaikan sebuah konflik yaitu Pengenalan Diagnosis, Menyepakati solusi, Pelaksanaan, Evaluasi dan kemudian menejemen konflik memiliki peraan dalam menyelesaikan konflik dalam suatu organisasi rima yaitu, dengan adanya menejemen konflik diharapkan dapat menyelesaikan konflik dengan baik, serta dapat mengatasi masalah dengan langkah-langkah yang benar sehingga konflik yang terjadi dapat dimanfaatkan ke arah produktif bila di kelola secara baik.
UPAYA PENINGKATAN PENGUNJUNG PERPUSTAKAAN SD NEGERI 9 NAMANG KABUPATEN BANGKA TENGAH
Authors: Sampirni Sampirni
Published: September 2022

Upaya peningkatan mutu atau kualitas sumber daya manusia sangat diperlukan agar mampu bersaing di era globalisasi. Salah satu upaya yang dapat kita lakukan yaitu dengan memenuhi sarana dan prasarana untuk menunjang proses pembelajaran di sekolah yaitu dengan mendirikan perpustakaan sekolah. Perpustakaan sekolah berfungsi untuk memenuhi kebutuhan ilmu bagi siswa, masyarakat sekitar atau pengguna jasa perpustakaan yang membutuhkan suatu informasi mengenai ilmu pengetahuan ataupun hal-hal yang dibutuhkan oleh pengguna.

                Masalah yang dibahas dalam penelitian ini adalah apakah perpustakaan pada SD 9 Negeri 9 Namang sudah bisa dikatakan ideal dan apa saja upaya yang sudah dilakukan SD 9 Namang untuk meningkatkan pengunjung perpustakaan. Penelitian ini menggunakan metode kualitatif dengan pendekatan studi kasus yang bersifat diskriptif. Penelitian ini menggunakan data primer yaitu data yang diperoleh secara langsung dari obyek penelitian dan data sekunder yaitu yang tidak secara langsung diperoleh dari obyek yang diteliti. Adapun data diperoleh dengan menggunakan teknik wawancara dan dokumentasi.

          Hasil dari penelitian yang dilakukan di SD Negeri 9 Namang yaitu perpustakaan SD 9 Namang sudah bisa dikatakan ideal. Hal ini terbukti dari beberapa pertanyaan yang diajukan hampir 75% memiliki jawaban positif untuk menunjukkan perpustakaan yang ideal. Selain itu Kepala sekolah SD 9 Negeri Namang juga selalu berupaya untuk meningkatkan jumlah pengunjung perpustakaan, baik dari segi varian koleksi buku yang didapatkan dari DAK buku maupun menyediakan anggaran untuk buku perpustakaan serta mengumpulkan buku sumbangan dari masyarakat/ wali siswa baik buku bekas ataupun baru. Interior dan sarana prasarana yang ada di dalam perpustakaan juga menjadi perhatian khusus kepala sekolah SD Negeri 9 Namang.
Authors: Narulita Sari , Zainal Vetri Yanti
Published: September 2022

The development of  Fintech in Indonesia grows rapidly, seen  through the use of fintech during the COVID 19 pandemic which is increasing although it takes time. After the post-Covid 19 pandemic, hopefully, Fintech can establish good collaboration with the banking industry and banking financial institutions in Indonesia because there is a digitalization trend in Indonesian people’s lifestyle which is triggered by government regulations, such as social distancing, physical distancing and working from home.

Keywords : fintech , perbankan
SECANGKIR KOPI : POTRET ANTARA KEARIFAN LOKAL DAN GAYA HIDUP MASA KINI
Authors: Purwasih Atik , Lisdiana Anita
Published: September 2022

Tujuan dari  penelitian  ini adalah  untuk  melihat bagaimana perubahan secangkir kopi yang  bermula dari kearifan local menjadi  gaya hidup masa kini.  Metode  yang digunakan adalah metode deskriptif dan studi kepustakaan. Hasil penelitian ini menunjukkan bahwa : kopi asal Indonesia memiliki tempat di kancah global. Pada mulanya kopi merupakan minuman tradisional yang menunjukan kearifan local di Indonesia. Saat ini secangkir kopi menjadi trand    secara global. Seperti adanya starbucks yang juga tersebar di berbagai wilayah di Indonesia.  Hal ini  menunjukan perubahan yang perlu diperhatikan agar kearifan local tetap terjaga dengan seiring perkembangan zaman.
KOMPETENSI PEDAGOGIK GURU DI MASA PANDEMI (Studi Kualitatif Pada Guru IPS di SMP N 1 Kibang)
Authors: Rahayu Titik Muji , Tusriyanto Tusriyanto , Wahyuni Sri
Published: September 2022

Penelitian ini berfokus pada Kompetensi Pedagogik Guru yang mencakup empat  kompetensi guru yaitu kompetensi pedagogik, kompetensi kepribadian, kompetensi profesional dan kompetensi sosial. Kurangnya profesionalitas guru dalam pembelajaran di masa pandemi, dilihat dari tidak diterapkannya kompetensi yang seharusnya dimiliki oleh guru. Penelitian ini merupakan penelitian deskriptif kualitatif. Subjek dalam penelitian ini adalah guru IPS SMP N 1 Kibang, metode pengumpulan data yang digunakan dalam penelitian ini adalah wawancara, observasi, dan dokumentasi. Sumber data yang digunakan dalam penelitian ini adalah sumber data primer guru IPS SMP N 1 Kibang. Teknik analisis data yang digunakan adalah reduction, data display dan kesimpulan. Berdasarkan hasil penelitian diperoleh kesimpulan bahwa kompetensi Pedagogik Guru IPS di SMP N 1 Kibang  sudah baik, hal ini dapat dilihat dari penguasaan indikator kompetensi pedagogik guru yaitu kemampuan guru dalam pemahaman peserta didik, perancangan dan pelaksanaan dari perangkat pembelajaran, evaluasi hasil belajar dan pengembangan peserta didik.
UPAYA GURU DALAM MENGATASI KENAKALAN PESERTA DIDIK DI SMP ISLAM KEBUMEN
Authors: Nur Pasha Muhamad Akmal
Published: September 2022

Tujuan yang ingin dicapaiii dari iipenelitian iiiniii iiadalahi untukii iimengetahuiii iiupayai guru dalam iimengatasiii iikenakalanii pesertaii iididikii iidiii iiSMPii iiIslamii iiKebumenii iikecamatanii sumberejoii iikabupatenii iitanggamus.   Penelitian ini merupakan penelitian deskripsi kualitatif. Subjek dalam penelitian ini yaitu guru dan peserta didik SMP Islam Kebumen, metode pengumpulan data yang digunakan penelitian ini yaitu wawancara, observasi, dan dokumentasi. Sumber data yang digunakan penelitian ini yaitu sumber data primer dan sumber data sekunder. Adapun analisis data yang digunakan dalam penelitian ini yaitu pengumpulan data, reduksi data, penyajian data dan penarikan kesimpulan.

Berdasarkan hasil penelitian ini disimpulkan bahwa upaya guru di SMP Islam Kebumen dalam mengatasi kenakalan peserta didik telah menggunakan usaha preventif (pencegahan), represif (pembinaan) dan Kuratif (menanggulangi). Selain dengan usaha tersebut guru di SMP Islam juga memberikan punishment (hukuman) kepada peserta didik yang melakukan kenakalan, akan tetapi punishment yang diberikan adalah punishment yang bersifat mendidik, bahwa upaya guru dalam mengatasi kenakalan peserta didik sudah baik akan tetapi perlu ditingkatkan lagi agar peserta didik tidak lagi mengulangi kenakalan-kenakalannya, hal ini terbukti dengan telah diterapkannya program membaca Al-qur’an disetiap pagi sebelum pembelajaran dilaksanakan, dengan adanya program ini diharapkan peserta didik memiliki jiwa al-qur’an yang dapat menjadikan peserta didik berbudi luhur sesuai ajaran Al-qu’an.
Grading of Arecanut Using Machine Learning Techniques
Authors: Jyothi K  , Sindhu M Hegde  , Sumedha K S  , Sushma C R  , Thanushree D C
Published: September 2022

Arecanut is a commercial crop that grows well in areas with a lot of rain. Arecanuts have economic, cultural, and therapeutic value, and are classified into many varieties depending on the region where they are grown and consumed. An effort at grading Arecanut is discussed here. This method extracts features using a global textural characteristic called Local Binary Pattern. The Support Vector Machine classifier is used to grade Arecanut. Finally, measurements such as accuracy and precision are used to assess the grading system's performance.
Automatic Solar Operated Lake Cleaning Floating Machine
Authors: Arvind Kumar  , VasanthaKumar  , Manjunath Ichchangi  , Imran Mokashi  , D Dritha Kumar  , Dinakara M S  , Prashanth Kutinha
Published: September 2022

This paper is focus on design and fabrication of Automatic solar operated lake cleaning
floating machine. This project basically concentrated to clean the lake. Based on the current problem
in the lake, we designed and fabricated a floating machine. Our project is remotely operated lake
cleaning machine, aim to be preventing human accident and minimize error during the operation.
Also, in order to minimize the emission, we used electric energy as an energy resource for our project.
Development of Velocity Measurement Device and Calibration Using SHPB and Ballistic Impact Setup
Authors: Shravan R Shetty  , Rakesh S  , Manoj Kumar D
Published: September 2022

A velocity measurement device was developed to measure the velocity of the striker bar of Split Hopkinson Pressure Bar (SHPB) set up. It measures the range of velocity magnitudes for different size of striker bars. The velocity measurement device measures velocity of the striker bar for varying pressure values. The readings were calibrated under freefall, SHPB and also using a ballistic impact testing setup present at the authors facility. The device was developed to produce consistent readings and these readings were tabulated.
Combined Perturb and Observe and Artificial Neural Network Approach for Maximum Power Point Tracking in Photovoltaic System under Uniformly Shaded Conditions
Authors: K. V. Subathra
Published: September 2022

Maximum Power Point Tracking (MPPT) of PV system is very much essential for the efficient operation of the solar photovoltaic (PV) system. PV system performance mainly depends on solar insolation and temperature conditions. In this paper combination of Perturb and Observe (P&O) and Artificial Neural Network (ANN) MPPT algorithms is proposed to provide reference voltage to DC-DC boost converter in the PV system under uniform shading conditions. In ANN- based techniques, the maximum power points are acquired by designing ANN models for PV modules. Compared to conventional P&O MPPT method, this approach tracks to the Maximum Power Point (MPP) faster with less fluctuations. The training of the ANN is done with Levenberg Marquardt algorithm and the whole technique is being simulated and studied using MATLAB software.
Security Threats to Internet of Things : A Survey
Authors: Faiza Soomro  , Zeeshan Jamil  , Hafiza Rafia Tahira
Published: September 2022

Internet of things (IoT) is an emerging technology in the present era. The term IoT refers to as an interconnection of several smart nodes through some heterogeneous link for the purpose of data communication. Some particular protocols control the entire communication in IoT. Due to plenitude of devices, it becomes a huge task to check the loyalty status of each node which is going to be a part of IoT environment. These nodes sometimes get involved in some malicious activities which may cause critical threats to this environment. These anonymous activities may include some attack on the working or security of IoT. In this uncongenial circumstance we need a strong security measurement to countermeasure these attacks. Innumerable efforts have been made to improve the security of IoT. This paper is an effort to make a glance of some of these security schemes
Big Data Backup Deduplication : A Survey
Authors: Hashem Bedr Jehlol  , Loay E. George
Published: September 2022

The massive explosion in the field of data such as images, video, audio, and text has caused significant problems in data storage and retrieval. Companies and organizations spend a lot of money to store and manage data. Therefore, there is an urgent need for efficient technologies to deal with this massive amount of data. One of the essential techniques to eliminate redundant data is data deduplication and data reduction. The best technique used for this purpose is data deduplication. Data deduplication decreases bandwidth, hard disc drive utilization, and backup costs by removing redundant data. This paper focuses on studying the literature of several research papers related to data deduplication for various techniques that several researchers have proposed. It summarized multiple concepts and techniques related to deduplication and methods used to improve storage. The data deduplication processes were examined in detail, including data chunking, hashing, indexing, and writing. Also, this study discussed the most critical problems faced by the data deduplication algorithm.
Study on the Application of Organizational Culture to Organizational Effectiveness and Efficiency
Authors: Adrian Tawai  , La Ode Herman Halika
Published: September 2022

Organizational culture is a habit, tradition, and general way of doing things that exist in an organization, as a result, or result of what has been done before. Organizational culture is a system of shared meaning held by members that distinguish an organization from other organizations. This study aims to examine the application of organizational culture to the effectiveness and efficiency of the organization using a survey method with a sampling technique using a simple random sampling technique. The results of the study conclude that an organization that has a strong organizational culture will have a significant influence on the attitudes and behavior of its members. Therefore, organizational performance needs to be improved by establishing and developing organizational culture. Organizational culture is dynamic, meaning that it can change according to the demands of the development of the organization.
Digital Image Encryption and Decryption based on RSA Algorithm
Authors: Radhakrishna M  , Shridevi K S  , Sowmya B S  , Sushmitha T J
Published: September 2022

Digital images are crucial in many areas, including online communication, multimedia systems, medical imaging, and military communications. Color images are being stored and transmitted over the internet and wireless networks in large amounts and thus it is necessary to protect them from any unauthorized user access. Cryptography is the art of codifying messages, so that the messages become unreadable, this way it plays a vital role in the field of security of data. There are several Cryptographic Algorithms to encrypt and decrypt Images. This paper aims to Encrypt and Decrypt Images based on RSA Algorithm providing Authentication and using Image Hash functions for additional Security and Integrity of images. This project also makes sure the Image retains its quality and is not corrupted even after decryption.
Geo-Spatial Modeling in the Assessment of Environmental Resources for Sustainable Water Resource Management in a Semi- Arid Region : A Case Study of Bhandara District, India
Authors: Devendra Bisen  , Nanabhau Kudnar  , Sharad Borude  , Ravindra Bhagat  , Vasudev Salunke  , Santosh Lagad  , Hanumant Shinde
Published: September 2022

The present study is geospatial modeling in the assessment of environmental resources for sustainable water resource management in a Bhandara district, India, using by geographical information system (GIS) and remote sensing (RS) techniques. The study will be based on secondary data. Secondary data was collected during the time period between are 1971 to 2013. After data collection the data were edited and coded. Then all the collected data were scrutinized carefully and recorded in master sheets. The monsoon rains in district are concentrated in the four months from June to September and receive 90.81% rainfall, post-monsoon 1.86% pre-monsoon 4.83% and winter 2.48%. Sandy red soil has covered 31% area; median black soil has covered 47% and Lomi red soil 22% covered the area of district. There are 580 large and 13,758 small and medium sized lakes in the district. The percentage of total area under forest 12.25%, especially during 2001 to 2011 periods it was in Bhandara (12.33%), Mohadi (19.89%), Tumsar (13.27%), Lakhani (11.13%) and Lakhandur (16.24%) decreased on large scale. There is a tremendous increase in the forest area in Sakoli (9.31%). Well irrigation is very important, in 1981; the total irrigated area was 66009 hect. of these 7.67% area is under well irrigation in 2011, the total irrigated area was 128165 hect; of these, 19605 hect. (15.30%) area was under well irrigation in the district. The aim of this present study was to evaluate environmental resource units that have been delineated based on the geospatial modeling of environment parameters with appropriate weights in GIS and RS techniques. The data can be used for area management, utilized in restoration and conservation of natural resources studies in the future.
Web Based Leaf Disease Prediction in Crops and Fertilizer Recommendation System Using Deep Learning Technique
Authors: M. Nirmala  , V. Saravanan  , A. R. Jayasudha  , Princess Maria John  , P. Privietha  , L. Mahalakshmi
Published: September 2022

Agriculture is the considered as the back bone of India. Agriculture is the most important sector in today’s life. Many plants are affected by various diseases which naturally drops the yield of the crop production in turn farmers are seriously affected. A web-based tool Flask is used to create an application for routing the web pages and also the designing part involves HTML, CSS and static pages. The Data set contains images of the diseased plants of both vegetables and fruits. These images are trained and tested using Deep learning Model building and the appropriate model is created and saved. This saved model is interlinked with the web page for Prediction and recommendation system. An automated system is introduced in the form of identifying different diseases on plants by checking the symptoms shown on the leaves of the plant. Deep learning techniques are used to identify the diseases and suggest the precautions that can be taken for those diseases. To make the system user friendly a User Interface is created for easy access and usage by the farmers. This application will be very useful for farmers.
A New Hybrid TLPD Algorithm for Task Scheduling in Cloud Computing
Authors: Vijay Mohan Shrimal  , Prof. (Dr.) Y. C. Bhatt  , Prof. (Dr.) Y. S. Shishodia
Published: September 2022

In this paper we have designed the hybrid approach of combination of credit based task length & priority algorithm and credit based deadline algorithm as well as compare the results with FCFS, SJF and task length & priority scheduling algorithms. When we use the credit based task length & priority scheduling algorithm to schedule the task without knowing the deadline of the task, it will cause the dead of the least deadline task. The deadline credit is also included so that assigning number of resources to the tasks in such a way that there will be maximum resource utilization and minimum processing time achieved. This paper presents the simulation results of the proposed methodology implemented with the help of Cloudsim and Net beansIDE8.0 and analysis of results.
Correlative Study in Diabetic Patients for Blood Glucose Level and their Kidney Functions
Authors: Abdul Razak Rilwan  , Dr. Jaya Bharti  , Suresh Kumar Mahaseth
Published: September 2022

Diabetes mellitus (DM) and hypertension are now widely recognized as the leading causes of end-stage renal disease. Because DM is so common among ESRD patients, there is a great need to understand more about how to avoid and manage it. This paper attempt to make a Correlative Study in Diabetic Patients for Blood Glucose Level and their Kidney Functions conducted at Jaypee Multi-Specialist Hospital Noida laboratory medicine. Correlation between high glucose and high creatinine levels were made in the study and it was indicated that the level of glucose from the samples is higher than that of creatinine levels. The lower, higher and normal creatinine level were duly examined in the study. The samples for the study were selected from the general patient enrolment list obtained from the Jaypee Multi Specialist Hospital Noida Laboratory Medicine. However, the test was conducted during the six months’ project work and random sampling procedure was used in selecting the samples. The results indicate that based on age distribution, the percentage of patients with higher glucose is higher than the percentage of normal creatinine level, likewise the percentage of patients with high creatinine level is more than that of normal levels respectively. Hence it was concluded that based on the correlation made the percentages of patients with high level of glucose is higher than that of patients with high creatinine levels.
Turán-type inequalities for generalized polygamma function
Authors: Omprakash Atale
Published: September 2022

Inspired by the work of C. Mortici [1] and A. Laforgia et. al [2] we have established some new Turán-type inequalities for k-polygamma function and p-k-polygamma function.
Formulation and Evaluation of Polyherbal Cream Containing Extracts of Tridax Procumbens, Ficus Religiosa, Azadirachta Indica and Curcuma Longa
Authors: Gund Akshada l  , Jawale Snehal S.  , Prof. Walunj Kajal
Published: September 2022

Now a day's herbal medicine has great impact on human health and diseases. Herbal medicine plays important role in overall aspects such as economical and medicinal. Although usage of these herbal medicines is increased day by day because of their quality, efficacy and safety. The present research study explores new formulation containing extracts of Tridax procumbens, Ficus religiosa, Azadirachta indica and Curcuma longa in the form of cream (O/W). The formulation were characterized by determining the pharmaceutical characteristics such as pH, appearance, viscosity, spreadability, etc. The phytochemical constituents such as carbohydrates, alkaloids, steroids, etc were detected with the help of identification tests. The cream formulation were designed by using excipients such as stearyl alcohol, beeswax, sorbitol monooleate, methyl paraben, propyl paraben and liquid paraffin. As compared to allopathic medicines herbal medication is considered as safer. Whereas allopathic medications are associated with some side effects. Whereas cream formulation is much better as compared to other formulations for absorption and penetration of active moiety tropically.
Formulation and Evaluation of Polyherbal Handwash Containing Neem and Ginger Extract
Authors: Jawale Snehal S.  , Gund Akshada L  , Prof. Shelke Dipali
Published: September 2022

The COVID-19 pandemic provides an important reminder that one of the most effective ways to stop the spread of germs and stay healthy is done by one of the simplest Hand washing. The aim of present work was to avoid the adverse effects - itching, irritation, dermatitis etc. An attempt has been made to formulate this poly herbal hand wash by using herbs Neem extract, Ginger extract, Lemon juice, Aloe vera showing range of antimicrobial activity. This proved to be most effective product over Human Hygiene .Different combination of ingredients with plant extracts carried out by soxhlet apparatus method of extraction were tested on skin pathogens Streptococcus Aureus and E.Coli to evaluate the potential of antimicrobial activity by proper zone of inhibition. Ingredients showed significant antimicrobial activity than the commercial ones. Different evaluation parameter i. e physical testing, pH, foaming, viscosity etc. were carrier. The result from the work suggest and support the incorporation and utilization of herbs in formulation to give better synergistic effect. This Polyherbal Hand wash could have great potential for healthy living. So this plant extracts can be used in the preparation of herbal hand wash on commercial scale.
Formulation and Evaluation of Pharmaceutical Aqueous Gel for Mouth Ulcer Treatment
Authors: Miss. Harshada B. Tribhuvan  , Miss. Sapana S. Mhaske  , Miss. Vaishnavi G. Wayal  , Miss. Priti R. Pawar  , Prof. Kajal Walunj
Published: September 2022

The main purpose of this gel formulation of Guava leaves, Argemone Mexicana, Turmeric and Elaichi flavor was to relieve pain and discomfort due to oral ulcers. As we know there are different types of sores in the mouth that cause inflammation and pain. The most common oral ulcers are Local trauma & Aphthous Stomatitis. Now many over-the-counter medications are essential to staying in primary health care because of the positive response and the most effective treatment with the least amount of side effects. Herbal medicines are still the backbone of almost 75-80% of the world's population, especially in developing countries, in primary health care due to better adherence to the human body, cultural acceptance and less side effects. They are found mainly in tropical and subtropical regions of India, the Americas and Africa, where they occur in various countries. The gel contains the main ingredients Guava Leaves Powder, A. Mexicana, Elaichi & Carbopol 934 as a gelling agent & and Propylene glycol as a co-solvent. Another ingredient Haldi acts as an antiseptic. The formulated gel was tested for different parameters such as physicochemical parameters (pH, viscosity, distribution ability, etc.), inhibition area, etc. The gel is homogeneous mixture that shows the pH 6.8. This herbal gel was stable at room temperature protected from any germs and thus safe for use on mouth sores.
Design Synthesis of a Microstripline Coupler
Authors: Akansha Kumari  , Dr. K. B. Singh  , Dr. Pankaj Kumar
Published: September 2022

Several authors have developed various methods for the study of characteristics of single & coupled microstriplines. This paper deals with the analytical studies of the design synthesis of microstripline couplers and their variation with geometry and frequency using Alumina substrates for the design synthesis of the microstripline coupler which is the aim of the present work. All the parallel line couplers, whether mode of propagation is true TEM or not, have the even and odd-mode property which always results in even- mode characteristic impedance (Zoe) and odd-mode characteristic impedance (Zoo).
Study of Wireless Sensor Networks Topological Protocol and Its Applications
Authors: Kumari Priya  , Rajat Ranjan Pandey  , Dr. K. B. Singh  , Dr. Rajendra Prasad
Published: September 2022

In this paper we studied about the wireless sensor networks and topology protocols and applications of wireless sensor networks (WSN). Many applications of RFID and Wireless Sensors Networks (WSN) in diverse areas including intelligent transport vehicles, defense, environmental monitoring and forecasting such as air pollution monitoring, structural health monitoring, intelligent home, and warehouse management were offered [1-4]. The integration infrastructure of WSN and RFID system with a network was dedicated. Furthermore, the architecture framework of Electronic Production Code (EPC) global sensor network was proposed aiming to establish the infrastructure of global network which is able to aggregate various data [6]. However, RFID and WSN integration was developed by [7]. This research strives to elaborate accurate traceability of different objects by means of RFID which are not conveniently identifiable by applying ordinary sensors. Notwithstanding the fact that the condition of items cannot be monitored by RFID, the environmental condition as well as condition of items can be achieved by sensor nodes. To address this issue, both RFID system and WSN are applied together to overcome some difficulties in industrial environment.
Nanosuspension Formulation by High Pressure Homogenization (HPH)
Authors: Mr. Ashish Arun Karle  , Mrs. Gangotri Yadav  , Dr. Ashish Jain  , Dr. Bhushan Rane
Published: September 2022

In recent years many scientists are focusing to develop nano formulation to enhance bioavailability of poorly soluble drug. Nanosuspensions is one of the approach to increase solubility and bioavailability of BCS class 2 and Class 4 drug. There are many technique to formulate nanosuspensions but High Pressure Homogenization method is most widely used as it applicable for many drug and having several advantages over other methods. Formulated nanosuspension can be evaluated by parameters like Particle size, Surface charge (Zeta potential),Crystalline state and particle morphology, Saturation solubility and Dissolution velocity, pH, Viscosity. Nanosuspensions have many applications and it is used by various route viz Oral, Parenteral, Pulmonary, Occular, Topical.
Deep Learning-Based Picture Object Identification System Design and Implementation
Authors: Gopu Sathwik  , Kotha Nikhil Reddy  , Prathapagiri Harish Kumar  , Shankesi Laxmi Sai Deep
Published: September 2022

The computer plays a significant role in computer vision to help with everyday tasks. Defense, biometrics, visual surveillance, robotics, and driver assistance are just a few of the many uses for object recognition. Lane/railroad track detection, the detection of obstacles before the vehicle/train, is part of the driver assistance system. Driver assistance systems for various modes of transportation can be improved by employing an efficient object-recognition approach (road, rail, etc.). One of the major problems with the driver assistance system is its inability to detect railroad obstacles. There has been an increase in the amount of research and development in obstacle detection for road transportation in the last few years. Despite the fact that railroads are the other primary land transportation mode, much less effort has been put into developing technologies for detecting obstacles on the rails than on the roads. Efforts to improve the recognition performance of safety inferences are ongoing. Real-time object recognition in driving situations despite the rapid development in the field of object recognition on datasets with a tremendous number of different types of objects remains extremely challenging. Autonomous driving systems (ADAS) and advanced driver assistance systems (ADAS) face a number of key difficulties in visual object recognition. Object recognition is complicated by a variety of factors, including changes in lighting conditions, the presence of shadows, and partial occlusion, for example. Changing light conditions are the most common triggers for variation. These critical realities are taken into account in this study, which aims to offer a solution to these problems.
Stress Detection Through Speech Analysis Using Machine Learning
Authors: Vamsinath J  , Varshini Bonagiri  , Sandeep T  , Meghana V  , Latha B
Published: September 2022

Stress is a common issue for every person. Around 264 million individuals suffer from stress, which is one of the most frequent psychological issues. We present a deep learning-based stress detector model using audio signals. The main aim is to differentiate stressed and non-stressed speeches. The deep learning algorithm used here is Convolutional Neural Network(CNN) which is made up of connected layers that are all related.Speech is transformed into spectrograms and they are fed to the Convolutional Neural Network (CNN) model. Features are extracted using Mel-frequency cepstral coefficients from pre-processed data.
Analysis of the Influence of Service Quality Factors, and Service Quality on Customer Loyalty with Satisfaction as an Intervening Variable
Authors: Nadira Ginanta  , Ngadino Surip
Published: September 2022

This study aims to analyze the influence of service quality factors, service quality on customer loyalty with customer satisfaction as an intervening variable. The study used primary data obtained directly from data sources collected specifically and directly related to the problem under study as many as 160 respondents The scale used using the Likert scale. In this research, the data analysis method used is Structural Equation Modeling (SEM). The data analysis method used is quantitative, namely validity test, reliability test, R square test, F square test, Q square test, Fit Model Test, VIF inner model, correlation analysis between dimensions, and hypothesis testing. The results show that Service Quality mediates to Customer Loyalty, Service Quality mediates to Customer Loyalty, Service Quality mediates to Customer Satisfaction, Service Quality mediates to Customer Satisfaction, and Customer Satisfaction mediates to Customer Loyalty. Service quality is the variable that has the greatest influence on customer loyalty at PT Bhum Mulia Prima (RCL Group).
Artificial Intelligence in Healthcare - A Review
Authors: Sakshi Panditrao Golhar  , Shubhada Sudhir Kekapure
Published: September 2022

Advances in artificial intelligence (AI), and its subfield machine learning (ML), can be seen in almost every domain of life, including cutting-edge health research. Organizations from health care of different sizes, types and different specialties are now a days more interested in how artificial intelligence has evolved and is helping patient needs and their care, also reducing costs, and increasing efficiency. Artificial intelligence (AI) is a rapidly evolving field in medicine, especially cardiology and brain science, is revolutionizing risk prediction and stratification, diagnostics, precision medicine, workflows, and efficiency .This study explores the implications of AI on healthcare management, and challenges involved with using AI in healthcare along with the review of several research papers that used AI models in different sectors of healthcare like Dermatology, Radiology, drug Interactions, and Discovery etc. Artificial intelligence is not just a technology, it is a collection of technologies. Some among these technologies are widely used in healthcare.
Intention to Reuse on the Go-Pay Digital Wallet Application ; Technology Acceptance Model (TAM) Theory Approach with Customer Satisfaction as a Mediating Variable
Authors: Stefan Loranthi Folia Djumarno
Published: September 2022

Go-Jek with the Go-Pay payment system is growing so fast in Indonesia. This happens because of the massive acceptance by the community. Of course, this acceptance by the community must be maintained and increased to increase sales. This study aims to determine and analyze the effect of perceived usefulness, perceived ease of use, and perceived risk on the intention to reuse the Gojek application with customer satisfaction as a mediating variable. The theory used in this study is the Technology Acceptance Model (TAM) theory proposed by Davis in 1989. The method used in this study is quantitative with data analysis using SEM PLS. The results of this study state that there is a significant positive effect between Perceived Usefulness, Perceived Ease of Use, and Perceived Risk on Customer Satisfaction. Then, Perceived Usefulness, Perceived Ease of Use, and Perceived Risk also have a positive and significant effect on the intention to reuse either directly or indirectly mediated by Customer Satisfaction.
Study of Zooplankton Diversity in Amarja Reservoir at Kalaburagi District
Authors: Dr. Neelakanth S. Wali  , K. Vijay Kumar  , Pruthviraj C.B.
Published: September 2022

Amarja Reservoir is the historical reservoir situated in Kalaburagi district. Zooplankton plays an important role in aquatic ecosystem serve as a major component of food chain. It maintain proper equilibrium between biotic and abiotic components of the aquatic ecosystem. The present investigation deals with study of diversity zooplankton of Amarja reservoir. The work was carried out for the period of one year i.e., December 2014 to November 2015. The zooplankton of Amarja reservoir water is represented by five different groups like Protozoa, Rotifera, Cladocera, Copepoda, Ostracods with 19 different species were identified and recorded in Amarja Reservoir, Rotifer were dominant among zooplanktons.
Documentation of Wild Plants Used by Traditional Healers in Basavakalyan, Dist Bidar, Karnataka
Authors: Dr. Latadevi S. Karikal  , Pruthviraj C. Bedjargi
Published: September 2022

The following research is concerned with the evaluation of medicinal plants found in Southern India concentrating on the region Basavakalyan of Bidar district. Thus, a total of 37 medicinal plants have been found and their medicinal properties have been identified that cure several primary health problems. Thus the curing properties of the plants have been identified by usingdifferent parts of the plants. A result based discussion has been done to link the results with current facts. A conclusive discussion has been made further identifying that there are 2000 herbal plants in South India which can be used for medicinal purposes.
Seismic Analysis of High-Rise Structure Considering the Effect of Floating Columns
Authors: Mohammed Zameer Ahamed J
Published: September 2022

In recent times, many buildings are planned and constructed with architectural complexities. The complexities include various types of irregularities like floating columns at various level and locations. These floating columns are highly disadvantageous in building built in seismically active areas. The earthquake forces that are developed at different floor levels in building need to be carried down along the height to ground by shortest path, but due to floating column there is discontinuity in the load transfer path which results in poor performance of building. In this current study structure is analyzed by using Response Spectrum Analysis by assuming that as the structure shall be exposed to different zones [zone lll, zone v]. The analysis is finished using ETABS software. This present work is to verify the safety of the structure with the existence of floating column after being built in areas where seismic action is very high. Comparison of various parameters such as base shear, inter storey drift and storey displacement is done.
Variations of Cosmic ray intensity in relation to Sunspot Number and Solar Wind Parameters over the period 1996-2019
Authors: Arvind Dhurve  , Anil Kumar Saxena  , Rani Ghuratia
Published: September 2022

Variation of Solar Wind Parameters (Proton density, Speed of SW and IMF-BZ) are changes with Cosmic ray intensity during solar cycle 23 and 24. In this work, we using the cosmic ray intensity (CRI) variation data from Oulu (Rc = 0.81GV) neutron monitors and solar-interplanetary activity data used from OMNIWeb data center for the analysis. The work includes solar wind speed, interplanetary magnetic field Bz and solar wind proton density selected indices during the period 1996-2019. Variation of solar wind plasma and interplanetary magnetic field coefficients has been studied with CRI. The study of the correlation between Sunspot number and cosmic ray intensity has been analyze and found inversely correlated with coefficient r = - 0.87. It is found that there is a linear negative correlation between Solar wind speed verses the cosmic ray intensity with correlation coefficient -0.53. The interplanetary magnetic field (IMF-Bz) shows a high negative correlation (r = -0.90) with Cosmic ray intensity for the solar cycle 23 and 24. The weak positive correlation coefficient has been found yearly average value of Cosmic ray intensity (CRI) with proton density (r = 0.19) for the study period. The solar wind index shows very remarkable relationship with CRI.
A Review on Maternal Folic Acid and Supplementation
Authors: Riya Singh  , Dr. Payal Mahajan
Published: September 2022

Folate (vitamin B9) is a necessary nutrient for DNA replication as well as a variety of enzymatic processes involved in amino acid synthesis and vitamin metabolism. Because folate is necessary for the fetus's growth and development, demand for it rises throughout pregnancy. Folate deficiency has been linked to birth defects in both mothers and babies (anaemia, peripheral neuropathy) (congenital abnormalities). The metabolism of folic acid, the appropriate use of folic acid supplementation in pregnancy, and the potential benefits of folic acid are discussed in this article, as well as the use of l-methyl folate supplementation for the prevention of pregnancy-related complications other than neural tube defects.
Study of Three Different Operator Algebras and Some Contribution of Operator Algebra in Mathematics
Authors: Surendra Ray  , Chandra Deo Pathak  , Dr. Rajeshwar Prasad Yadav
Published: September 2022

In this present paper, we studied about three different ways one may look at operator algebras and some classical applications of operator algebras in mathematics and mathematical physics. [1-2].
Selection Among Two Competing Objectives for an Optimal Portfolio with Respect to the Investor's Attitude
Authors: Dr. R. Subathra
Published: September 2022

A portfolio is a bundle of securities in which investment is done in order to earn maximum returns. Variation in returns is inevitable and this variation around the expected return is called the risk. The return and risk move together due to which the maximum returns are invariably associated with the maximum risk. Hence finding the proportion of money to be invested in individual securities in such a way that the return is maximized may be a good idea for the investors who are willing to take risk. But for the investors who have an aversion towards risk, the objective of maximizing the return may not be a good idea. This study moves with the question of identifying the most suitable objectives among the two alternatives: Risk minimization and Return maximization. In general, Portfolio management is done by,

Maximizing the return for a given level of risk or

Minimising the risk for a given level of return.

The effect of these two objectives on the return and risk of the portfolio are studied with randomly selected securities in this study. The study attempts to suggest appropriate objectives for the risk taking and risk averting investors.