bluuebunny/crossref_metadata_2025 huggingface dataset:
PENDAMPINGAN ORANGTUA DALAM PERAWATAN LUKA PADA ANAK POST SIRKUMSISI
Authors: Fruitasari MK. Fitriani , Pranata Lilik , Daeli Novita Elisabeth , Rini Maria Tarisia , Suryani Ketut
Published: July 2023

sirkumsisi adalah kegiatan yang pasti dilakukan oleh seorang anak laki-laki terutama yang beragma islam, dalam hal ini setiap laki-laki wajib di sirkumsisi, akan tetapi tidak semua orang tua yang anaknya dilakukan sirkumsisi, memahami bagaimana perawatan setelah anak dilakukan sirkumsisi, salah salatu intrevensi yang dilakukan adalah edukasi merupakan salah satu metode yang dapat digunakan untuk mentrafer ilmu, terlebih pada kegiatan kegiatan tertentu yang peserta nya adalah heterogen, seperti halnya dengan orang tua, dalam hal ini orang tua yang mempunyai anak post dilakukan sirkumsisi/khitan perlu adanya kemampuan untuk melakukan perawatan luka post sirkumsisi untuk menghindari terjadi nya infeksi. Kegiatan ini bertujuan untuk mendampingi orang tua dalam melakukan perawatan luka pada anak post sirkumsisi, metode yang digunakan dalam tranfer ilmu melalui edukasi dan pendampingan pada orang tua berjumlah 19 orang, sehingga orang tua dapat langsung di dampingi dalam melakukan perawatan, hasil kegiatan pengabdian menunjukan dari  orang tua yang anaknya dilakukan post sirkumsisi, dalam melakukan perawatan sangat baik berjumlah 79 %,  dan baik 21 %. dilihat dari mulai memberikan obat sesuai dengan takaran, melakukan perawatan area khitan dengan bersih dan secara teratur, sehingga proses penyembuhan berjalan cepat dan mengurangi risiko infeksi pada area yang di sirkumsisi
ANALISIS DAMPAK BURUK PENGGUNAAN KEMASAN SEKALI PAKAI DALAM MEMBUNGKUS MAKANAN BAGI MAHASISWA ITERA
Authors: Frisco Natanael , Putro Muhamad  Hakiem Sedo
Published: July 2023

Kemasan mempunyai arti yang sangat penting karena kemasan tidak hanya digunakan sebagai pelindung terhadap isi produk saja tetapi juga digunakan untuk menyenangkan dan memikat hati konsumen. Susetyarsi (2012). Jenis-jenis kemasan yang sering digunakan berupa kertas nasi maupun Styrofoam. Styrofoam merupakan pengemasan makanan yang murah dengan bahan PE (Polystyrene). Bahan PE (Polystyrene) mengandung bahan kimia yang sulit dicerna yaitu Benzen. Penggunaan Styrofoam menjadi media bungkus makanan memiliki dampak yang negatif bagi kesehatan tubuh. Styrofoam juga memiliki kandungan plastik yang sulit untuk di uraikan sehingga penggunaan Styrofoam sebagai kemasan sekali pakai dinilai kurang baik bagi kesehatan manusia dan kesehatan lingkungan. Metode yang digunakan pada penelitian adalah dengan penyebaran angket berupa kuesioner dengan menggunakan gform. Hasil penelitian menunjukkan sekitar hampir 25 orang membungkus makanan dengan menggunakan Styrofoam dan kurang dari 5 orang menggunakan kotak makan dalam membungkus makanannya. Hal tersebut menunjukkan betapa masih sedikit mahasiswa yang paham dengan bahaya penggunaan kemasan sekali pakai Styrofoam bagi kesehatan tubuh dan lingkungan. Diharapkan mahasiswa ITERA dapat lebih peduli dengan kesehatan tubuh dan lingkungan dari penggunaan kemasan sekali pakai berupa Styrofoam.
PENDAMPINGAN PENGELOLAAN KEUANGAN PADA UKM PEMPEK CEK NIA PALEMBANG
Authors: Ghozali Zein , Sutandi Sri , Anggraini Hilwa , Saleh Roy , Revita Nanda , Yudi Yudi , Putri Ananda
Published: July 2023

Pengabdian masyarakat ini berupa kegiatan pendampingan pengelolaan keuangan pada Pempek Cek Nia Palembang. Kegiatan ini diharapkan dapat membantu UMKM khususnya Pempek Cek Nia Palembang untuk dapat mengelola keuangan secara baik dan tertib sehingga membantu kelancaran usaha dan dapat meningkatkan omzet penjualan perusahaan. Dengan pengelolaan keuangan yang baik juga dapat meningkatkan pendapatan dan laba usaha sehingga usaha dapat bertahan dan beroperasi secara berkesinambungan. Hasil pengabdian berupa pendampingan pengelolaan keuangan pada UKM Pempek Cek Nia Palembang perhitungan keuangan usaha pada Pempek Cek Nia menggunakan nalisis sumber penggunaan dana diarahkan pada penerapan matching principle dalam pendanaan yang terdiri dari sumber penerimaan dari operasional yaitu penjualan pempek Cek Nia Palembang baik melalui penjualan langsung maupun berasal dari pesanan pelanggan baik untuk dikonsumsi.untuk pengeluaran sebagian besar dari operasional usaha seperti pembelian bahan baku ikan dan bahan pembantu, bahan pendukung seperti bahan bakar gas, plastic, packing dan lain-lain, biaya ongkos kirim baik di dalam kota maupun diluar kota Palembang dan biaya utilitas seperti listrik, air dan telekomunikasi.
Pengaruh Model Pembelajaran SOLE (Self Organized Learning Environment) pada Mata Kuliah Geometri Analitik Bidang
Authors: Novianti Novianti , Khaulah Siti , Rahma Rahma
Published: July 2023

Rendahnya hasil belajar mahasiswa dalam menyelsaikan permasalahan garis singgung elips menjadi  salah satu tolak ukur terhadap ketidak tuntasan dalam belajar. Untuk mengatasi masalah tersebut, peneliti melakukan penelitian dengan menggunakan model pembelajaran SOLE (Self Organized Learning Environment). Penelitian bertujuan untuk mengetahui pengaruh model   pembelajaran SOLE terhadap hasil belajar mahasiswa. Pendekatan penelitian yang digunakan adalah pendekatan kuantitatif, jenis penelitian eksperimen dengan rancangan One Group Pretest-Postest Design. Populasi dalam penelitian ini adalah seluruh mahasiswa semester III Program Studi Pendidikan Matematika Universitas Almuslim. Sampel diambil satu kelas dengan jumlah siswa 19 orang dari keseluruhan populasi yang dipilih dengan menggunakan teknik random sampling. Pengumpulan data dilakukan dengan melakukan tes dan observasi. Teknik analisis data menggunakan uji non-parametik dengan taraf signifikan  Data Pretest dan Postest dianalisis menggunakan statistik uji-t. Setelah dilakukan pengolahan data, diperoleh Sig. (2-tailed) lebih kecil dari 0.05, maka Ho ditolak dan Ha diterima maka dapat disimpulkan bahwa terdapat pengaruh hasil belajar mahasiswa melalui model pembelajaran SOLE dan proses kegiatan belajar menggunakan model pembelajaran SOLE termasuk dalam kategori sangat baik dan sesuai dengan yang direncanakan.
Penggunaan Geogebra untuk Meningkatkan Pemahaman Matematis Mahasiswa dalam Menentukan Arah Kiblat
Authors: Azmi Nur , Ukhti Laiyina
Published: July 2023

Abstract

This research is motivated by the difficulties of students in understanding mathematical concepts, spesifically the geometry that used to determine the Qibla direction.  The purpose of this study is to describe how to increase mathematical understanding of students skills to determine the Qibla direction by using the geogebra application. his research was conducted at the Sharia Faculty of Islamic Astronomy Department, IAIN Lhokseumawe. The sample of this study were all third semester students who were taking Geometry Astronomy courses. The data obtained through tests, interviews and questionnaires. Data analysis was carried out by means of descriptive and quantitative. The results showed that the increase in students' mathematical abilities reached 0.5 at the medium improvement criteria of N-Gain. From the results of the percentage of attitude scale questionnaires, it shows that the highest student response to geogebra is 93%, videlicet students give positive response for using of geogebra applications in geometry learning of the Qibla direction.
Islamic Tourism in Indonesia Context in PISA-Like Mathematics Problem
Authors: Paseban Miranda Salim , Agustiany Dumeva Putri  , Liana Septy  , Harisman Nizar
Published: July 2023

The aim of research was to producing PISA-like mathematics problem in using Islamic tourism context in Indonesia that are accordance with the PISA problem framework, had attractiveness, and had potential-effect to mathematics literacy skill on junior high school students. The subject of the research were 21 students of ninth grade A class at MTs Muhammadiyah 1 Palembang. The research method used was development research which is divided into two major stages, namely the preparation stage and the prototyping stage with Tessmer’s formative evaluation flow. The techniques of collecting data were used open questionnaire, interview, and test. The technique of analysis data was used descriptive qualitative. The final results of the study are 7 PISA-like mathematics problem in using Indonesia’s Islamic tourism context at the junior high school level that were valid based on the validator's assessment at the expert review stage. The questions had an attractiveness based on the results at the one-to-one and small group stages because it is known that students are challenged to solve problems correctly and can stimulate students thinking to use their mathematical abilities in any problems. The results of student answers at the field test stage show the potential effect that the questions developed lead to the involvement of various basic abilities and mathematical literacy in the problem solving process.Keywords: Development Research, PISA-Like Mathematics Problems, Islamic Tourism in Indonesia
Eksplorasi Etnomatematika Konsep Transformasi Geometri Translasi pada Motif Kerajinan Manik-Manik Suku Dayak Kenyah
Authors: Haeruddin Haeruddin , Muhtadin Achmad , Yahya Muhammad Hafizh Naufal
Published: July 2023

Abstract

This study aims to explore the Dayak Kenyah tribe's bead crafts through motifs  that found and relatedto geometry transformation’s concept. This kind research is the qualitative research thorough an ethnography approach. Data were collected through observation, interview and documentation. The subject of this research is bead crafts and the object of this research is the geometry transformation’s that found in the motifs of bead crafts’s made. The data obtained in this research came from derived from direct observation of interview results, the results of interview, and the results of documentation. Based on the results of the exploration, it was found that the ten bead bening, saungaban, anjat, besunung, batuksapei, beluko letto, sepeiinoq, avet, and ta’a) studied had a connection to five motifs (fern’s motif, asoq’s motif, bang bekat’s motif, pun’s motif, and silung kelunan’s motif) were used which became examples the application of geometry transformation’s concept in translation.
Pengaruh Model Pembelajaran Problem Based Learning Berbantuan Lembar Kerja Peserta Didik (LKPD) terhadap Kemampuan Penalaran Matematis Siswa di MTs. Lab Ikip Al-Washliyah Medan
Authors: Dwi Ikasari  , Firmansyah Firmansyah
Published: July 2023

Penelitian ini memiliki tujuan  untuk mengetahui dan mendeskripsikan pengaruh  model pembelajaran problem based learning berbantuan lembar kerja peserta didik (LKPD) terhadap kemampuan penalaran matematis siswa. Metode yang digunakan dalam penelitian ini yaitu quasi experiment dengan desain posttest only control group desain. Penelitian ini dilakukan di MTs. LAB IKIP Al Washliyah Medan pada kelas VII-A menjadi kelas eksperimen dan kelas VII-E menjadi kelas kontrol, T.A 2022/2023. Instrumen yang digunakan adalah soal tes uraian kemampuan penalaran matematis. Data yang diperoleh dari hasil penelitian ini diolah menggunakan aplikasi SPSS 27 for windows menggunakan teknik uji-t. Hasil penelitian menunjukkan bahwa ada pengaruh terhadap kemampuan penalaran matematis siswa yang diajarkan dengan model pembelaajaran problem based learning berbantuan lembar kerja peserta didik (LKPD).
Pengaruh Model Pembelajaran Contextual Teaching and Learning ditinjau dari Gaya Belajar terhadap Kemampuan Pemahaman Konsep Matematis
Authors: Susanti Rani , Susanti Vera Dewi
Published: July 2023

The capacity of students to learn mathematics and solve mathematical problems depends on their ability to understand mathematical concepts or ideas. This study aims to (1) determine the effect of Contextual Teaching and Learning (CTL) learning model on the ability to understand mathematical concepts, (2) identify the learning style of students in understanding mathematical concepts, and (3) to determine whether there is a relationship between the model and learning style. This type of research is an experiment with a 2×3 research design. Data collection techniques used questionnaires and tests. Two-way ANOVA is the hypothesis test used in the study. Before hypothesis testing, normalization test and homogeneity test were conducted. The results of this study based on the results of the Two Way ANOVA analysis test obtained a significant value of the Learning Model 0.551>0.05 so that H_OA is accepted, a significant value of Learning Style 0.172>0.05 then H_OB is accepted and the Significant Value between Learning Models and Learning Styles obtained is 0.204>0.05 then H_OAB is accepted. This shows that the contextual learning model affects students' ability to understand mathematical concepts. Second, there are differences in how well learners with visual auditory and kinesthetic learning styles understand math concepts and the CTL learning model interacts with learners' learning styles to influence this understanding.
Pengaruh Mengikuti Program Kampus Mengajar terhadap Minat Menjadi Guru Pada Mahasiswa Pendidikan Matematika Untirta
Authors: Sofiatun Nufus Yolita , Fathurrohman Maman
Published: July 2023

The declining interest of millennial students and education students to become teachers needs attention. The importance of interest as a motivation for prospective teacher students to become professional teachers is the basis for the need to increase students' interest in becoming teachers. This study aims to determine the effect of the teaching campus program on interest in becoming a teacher and to find out the factors that support and or inhibit interest in becoming a teacher in Untirta Mathematics Education students participating in the teaching campus program. This research is a type of mixed method research using explanatory sequential design. The subjects in this study were Untirta Mathematics Education students participating in the teaching campus program from 1st to 4th year. The results showed that there was a positive influence of the experience of the campus teaching program on the interest in becoming a teacher in Untirta Mathematics Education students as indicated by a positive regression coefficient of 0.561. This means that every time there is an addition of one unit of the teaching campus program experience variable, the value of the interest in becoming a teacher variable increases by 0.561. This interest is supported by the factors of teaching campus program experience, feelings in teaching, attention to the quality of education, ideals, and family environment. Meanwhile, what hinders students in becoming teachers is mostly influenced by factors of professional perceptions and teacher welfare and social friend factors.
EFEK ANTIBAKTERIAL CUKA SARI APEL DALAM BERBAGAI KONSENTRASI TERHADAP PORPHYROMONAS GINGIVALIS
Authors: Aliyani Sari , Pranata Natallia , Sugiaman Vinna Kurniawati
Published: July 2023

Background: periodontal disease is a disease that can affect the supporting tissues of the teeth. The American Academy of Periodontology (AAP) classifies it into two, namely chronic periodontitis and aggressive periodontitis. Periodontitis is usually caused by bacteria, one of which is Porphyromonas gingivalis. One of the ingredients that can be used as mouthwash and has an antibacterial effect is chlorhexidine, but the use of this mouthwash has side effects so people turn to herbal medicines, namely apple cider vinegar which contains phenols, flavonoids, saponins, and alkaloids as antibacterial. This study aims to determine whether or not there is an antibacterial effect of apple cider vinegar on Porphyromonas gingivalis bacteria. Methods: the material in the form of fermented apple cider vinegar has a pH value of 3.13 and the remaining sugar content is 1.5% Brix. The research sample was Porphyromonas gingivalis ATCC 33277, obtained from the Aretha Medika Utama Biomolecular and Biomedical Research Center (BBRC) Laboratory in Bandung. The research method is the disc diffusion method (Kirby-Bauer), which is the method on disc paper with various concentrations of apple cider vinegar. Results: based on laboratory experimental research on the antibacterial effect of apple cider vinegar with a concentration of 1.56% and 3.12%, the criteria are weak because they have a value of 0, at concentrations of 6.25% and 50%, have moderate criteria because they have a value of 6.18 mm and 8.33 mm, and at a concentration of 100% has strong criteria because it has a value of 13.93 mm. Conclusion: apple cider vinegar has an antibacterial effect that can inhibit the growth of Porphyromonas gingivalis bacteria, the largest inhibition zone is at a concentration of 100% and decreases as the concentration of apple cider vinegar decreases.
INFLAMASI GUSI DAN KARIES GIGI PADA IBU HAMIL SERTA KAITANNYA DENGAN STATUS GIZI DI KABUPATEN PANDEGLANG, BANTEN TAHUN 2021
Authors: Prihastari Lisa , Syaviera Putri , Putri Salsabila , Priyadharsini Sonya , Prasonto Djuned , Rintoko Bimo , Witasari Hesti
Published: July 2023

Latar belakang: wanita yang sedang hamil lebih rentan terhadap penyakit periodontal dan karies gigi yang nantinya akan mempengaruhi status gizi mereka. Kebiasaan oral hygiene dan pola makan ibu hamil juga berkaitan erat dengan penyakit periodontal dan karies gigi. Tujuan: mengetahui gambaran status kesehatan periodontal dan karies gigi ibu hamil di Kabupaten Pandeglang dan menganalisis hubungannya dengan status gizi mereka. Metode: penelitian analitik crosssectional dengan 89 responden ibu hamil di wilayah Kabupaten Pandeglang, provinsi Banten usia 17-45 tahun disurvey dan diperiksa menggunakan kuesioner untuk mengetahui kebiasan oral hygiene, pola diet makanan dan sosiodemografi. Pemeriksaan rongga mulut dengan Modified Gingival Index (MGI) dan Decay Missing Filling Teeth (DMFT) serta dilakukan pengukuran Body Mass Index (BMI) dan Lingkar Lengan Atas (LILA). Analisis statistik yang digunakan adalah uji non parametrik dan uji korelasi dengan SPSS. Hasil: prevalensi subyek yang memiliki inflamasi berat adalah 8% (7 responden) dan paling banyak ibu hamil mengalami 56% (50 responden) sedangkan untuk tingkat karies gigi tinggi adalah 9% (8 responden) dan paling banyak mengalami tingkat karies sedang yaitu 29,2% (26 responden). Hasil pemeriksaan BMI yaitu paling sedikit responden memiliki kategori kurus sebanyak 4 responden (4,5%), dan paling banyak pada kategori normal sebanyak 28 responden (31,5%). Hasil uji Non Parametrik menunjukkan terdapat hubungan signifikan antara konsumsi buah dan sayur dengan kejadian MGI (p 0,05) dan terdapat korelasi antara skor BMI dan Skor LILA. Kesimpulan: tingkat inflamasi gusi ibu hamil paling banyak adalah inflamasi ringan (56%) dan tingkat karies gigi sangat rendah (37%). Skor MGI dan DMFT tidak berhubungan dengan BMI dan LILA pada responden ibu hamil dalam penelitian ini.
GAMBARAN LITERASI PENGETAHUAN MENGENAI TELEDENTISTRY DI MASA PANDEMI COVID-19
Authors: Septalita Annisa , Kristi Margareta Yulia
Published: July 2023

ABSTRAKLatar Belakang: Teledentistry merupakan teknologi kedokteran gigi untuk konsultasi jarak jauh. Literasi pengetahuan dokter gigi dan mahasiswa profesi kedokteran gigi menjadi peluang besar sekaligus tantangan di masa Covid-19 dan di masa mendatang dalam pelaksanaan teledentistry untuk meningkatkan perawatan kesehatan gigi dan mulut di masyarakat. Tujuan: Menjelaskan gambaran literasi pengetahuan mengenai teledentistry di masa pandemi Covid-19 pada dokter gigi dan mahasiswa profesi kedokteran gigi di FKG UPDM (B). Metode: Penelitian ini merupakan studi pendahuluan yang merupakan penelitian deskriptif dengan desain cross sectional study menggunakan teknik pengambilan sampel probability proportional to size sampling dan simple random sampling. Data primer didapatkan dari kuesioner berisi 5 pertanyaan literasi pengetahuan mengenai teledentistry berbentuk google form, diuji menggunakan uji univariat. Hasil: Berdasarkan 62 dokter gigi dan 207 mahasiswa profesi kedokteran gigi mayoritas perempuan (80,3%), dokter gigi berusia 30-39 tahun (37,1%) dan mahasiswa profesi kedokteran gigi berusia 23 tahun (31,4%). Dokter gigi (67,7%) dan mahasiswa profesi kedokteran gigi (93,2%) memiliki pengetahuan baik mengenai teledentistry. Kesimpulan: Dokter gigi dan mahasiswa profesi kedokteran gigi Fakultas Kedokteran Gigi Universitas Prof. Dr. Moestopo (Beragama) memiliki tingkat pengetahuan baik yang akan mendukung penggunaan teledentistry. Kata Kunci: Teledentistry, Pengetahuan, Dokter Gigi, Mahasiswa Profesi Kedokteran Gigi  ABSTRACTIntroduction: Teledentistry is a technology in dentistry for remote consultation. Knowledge literation of dentists and students of dental profession is a great opportunity and challenge during the Covid-19 period and in the future in the implementation of teledentistry to improve dental and oral health care in the community. Objective: To explain the description of knowledge literation of teledentistry during Covid-19 Pandemic to dentists and students of dental profession at the FKG UPDM (B). Method: This research is a pilot study, descriptive, with cross sectional study design and used probability proportional to size and simple random sampling technique. Primary data was obtained from a questionnaire containing 5 knowledge literation questions shaped google form, tested using univariate test. Results: Based on 62 dentists and 207 students of dental profession, the majority were female (80,3%), dentists aged 30-39 years old (37,1%) and students of dental profession aged 23 years old (31,4%). Dentists (67,7%) and students of dental profession (93,2%) have good knowledge of teledentistry. Conclusion: Dentists and students of dental profession Faculty of Dentistry Universitas Prof. Dr. Moestopo (Beragama) has a good level of knowledge that supports the utilization of teledentistry. Keywords: Teledentistry, Knowledge, Dentists, Students of Dental Profession
Digital Literacy in Post-Pandemic Project Based Learning at Sekolah Kembang Jakarta
Authors: Adiati Gracia
Published: July 2023

Digital literacy is an essential skill for students in learning in the post-pandemic digital era. This study aims to explore digital literacy for Sekolah Kembang students through group communication between teachers and students. The focus of the research is digital literacy in project based learning for elementary school students in grades 4, 5 and 6, and junior high school grades 7 and 8. In this study, the authors use qualitative approach with descriptive methods and data collection techniques through interviews. The results of the study show that digital literacy has become an integrated part of project based learning at the Sekolah Kembang. There are three communication patterns implemented in providing directions for finding and sorting information from the internet, which are large group communication, small group communication, and interpersonal communication. Identified group communication functions include persuasion, decision making, and problem solving. This research provides a better understanding of how digital literacy education can be implemented through communication between teachers and students at the Sekolah Kembang.
Glorifikasi Kebebasan Dari Penjara Figur Publik Pelaku Kekerasan Seksual di Infotainment Indonesia
Authors: Adiyanto Wiwid , Sabrina Putri Ayu
Published: July 2023

Freedom from prison for perpetrators of child sexual abuse, who is also a public figure, was warmly welcomed by fans and relatives. The excitement was inseparable from the infotainment coverage that was broadcast through the mass media. On the other hand, sexual violence has physical and psychological consequences that affect the lives of the victims. The presence of infotainment programs also creates debate, especially in the realm of journalism related to ethics. This study attempts to describe the inequality of coverage of Saipul Jamil's freedom from prison as a former inmate who perpetrates sexual violence on the infotainment program Intens Investigasi. This study places the Critical Discourse Analysis developed by Norman Fairclough as an analytical knife. The results of this study indicate that the glorification carried out by infotainment related to freedom from prison, public figures who are perpetrators of sexual violence have a tendency to normalize sexual violence, especially in public figures. Infotainment texts lead to dispensation for public figures who commit sexual violence. Gender literacy, sexual violence, and the media are absolutely necessary, both for media people and the wider community. In addition, a grassroots movement is needed to stop the glorification that leads to the normalization of sexual violence.
A hulladékgazdálkodási jog (hulladékjog) helye a honi jogrendszerben
Authors: Iván Dániel
Published: July 2023

Jelen tanulmány fő célja a hulladékgazdálkodási jog (hulladékjog) elhelyezése a magyar jogrendszerben. Ennek megfelelően vizsgálom, hogy a honi szakirodalom foglalkozott-e a hulladékgazdálkodási joggal vagy annak valamely szegmensével. A vizsgált időszak felöleli a rendszerváltás előtti, az azt követő időszakot és a legújabb szakirodalmat is. Mindemellett górcső alá veszem a közigazgatási jog és a hulladékgazdálkodási jog kapcsolódási pontjait és alkotmányjogi beágyazottságát.
THE INFLUENCE OF BREEDER KNOWLEDGE IN THE UTILIZATION OF AGRICULTURAL WASTE AS BEEF CATTLE FEED IN SAMANGKI VILLAGE,SIMBANG DISTRICT,MAROS REGANCY
Authors: FAHARUDDIN ANDI FITRI , Abdullah Agustina
Published: July 2023

AbstractThe purpose of this study was to determine whether factors Cosmopolitan , Education and Extension Intensity significant effect either simultaneously or partially on Knowledge Breeders In Agricultural Waste Utilization For Beef Cattle Feed Samangki Village , District Simbang , Maros. Partially research results obtained Cosmopolitan factor ( X1 ) and counseling intensity (X2) significantly affects Breeders Knowledge in Agricultural Waste Utilization For Beef Cattle Feed ( Y ) , while counseling intensity ( X2 ) no significant effect on the Breeders Knowledge Utilization of Agricultural Wastes For Beef Cattle Feed ( Y ) . Simultaneously Cosmopolitan factor ( X1 ) and counseling intensity ( X2 ) significantly influence Breeders Knowledge in Agricultural Waste Utilization For Beef Cattle Feed ( Y ) .Keywords :  Breeders Knowledge , Cosmopolitan , Counseling Intensity
РОЗВИТОК ВЕНЧУРНОГО ІНВЕСТУВАННЯ У МІЖНАРОДНИХ ПАРТНЕРСЬКИХ ВІДНОСИНАХ
Authors: Айтак Ядігар
Published: July 2023

Legal and regulatory obstacles in international partnerships in the field of venture capital investment. The article contains an analysis of various legal systems, regulatory frameworks and procedures that may complicate the cooperation of international partners and venture investors. The purpose of the article is to study the potential of venture capital investment for the development of international partnerships, to analyze the advantages of capital investment, such as stimulating innovation, strengthening technological ties, promoting the exchange of knowledge and experience of international partners. The methodological basis of the research was the logical methods of information processing, statistical analysis, comparison. The main hypothesis of the study was the assumption that the problems associated with attracting financial resources from abroad, unfavorable conditions for venture investors, risks associated with cross-border investments can be eliminated through a new stage of international cooperation. Presenting main material. The role of venture capital investment in the innovative economy is revealed. The prerequisites and problems of venture investment development based on public-private partnership are considered. Provisions regarding the formation of the structure of the mechanism of state support for venture business have been formulated. Areas of improvement of venture investing have been determined. Originality and practical significance of the research. Identification of problems and challenges facing the development of venture capital investment in international partnerships. The article characterizes barriers such as insufficient information exchange, legal and regulatory obstacles, uneven distribution of access to venture capital and other factors that inhibit the development of cooperation between international partners in the field of venture investment. Conclusions. Proposed recommendations for improving cooperation in the field of venture capital investment between international partners. The article provides specific advice and recommendations for governments, the business community and other stakeholders to strengthen international partnerships in the field of venture capital investment.
Sentimental Analysis of Customer Reviews using RPA and Categorization of Reviews using ChatGPT
Authors: Sativilla Mohan Kumar  , Advin Manhar
Published: July 2023

Reviews and feedback are very important for traveling websites and service providers. Reviews have been shown to be important in the decision-making process. Organizations and businesses are able to improve their goods and services thanks to comments and reviews. It is impossible to read every single review due to the vast number of client input on e-commerce sites including forums, review sites, and blogs. The current approaches for sentiment analysis paint a broad picture of how customers feel. But in order to examine each customer's emotions separately and resolve them, we need to automate this operation. Realistically speaking, reading every review and performing an analysis would be impossible or highly time- and resource-intensive. The model for sentiment analysis of customer reviews using robotic process automation and categorization of the reviews using openAI is proposed in this study. After analysing each customer's sentiment towards a certain airline, ChatGPT was used to categorise the reviews. As a result, we now receive feedback in categories and are aware of each client's emotion, making it simple to enhance the customer experience.
Twitter Sentiment Analysis
Authors: Gunjan R. Patil  , Rishiraj Shrivastava  , Advin Manhar
Published: July 2023

Social media has entered further attention currently. Public and private opinions about a wide variety of subjects are expressed and spread continually via multitudinous social media. Twitter is one of the social media that's gaining trend. Twitter offers associations a fast and effective way to dissect guests ' perspectives toward the critical success in the request place. Developing a program for sentiment analysis is an approach to be used to computationally measure guests’ comprehension. This paper reports on the design of the sentiment analysis, rooting a vast quantum of tweets. Prototyping is used in this development. Results classify guests' perspectives via tweets into positive and negative, which is represented in a Graph. Still, the program has been planned to develop on a web operation system, but due to the limitation of Django which can be worked on a Linux Garcon or Beacon, further this approach needs to be done.
Stock Market Forecasting Using LSTM Neural Network
Authors: Aditi Singh  , Lavnika Markande
Published: July 2023

This study investigates the widespread use of machine learning techniques, including recurrent neural networks (RNNs) and long short-term memory (LSTM) models to the analysis of stock market data. By utilizing RNN and LSTM model capabilities to identify temporal relationships and patterns in stock market data, it seeks to overcome conventional techniques' constraints. The research provides empirical proof of the efficiency of RNNs and LSTM models in enhancing investment decision-making by analyzing the project outcomes using real-world stock market data. The inclusion of RNNs and LSTM models in this research paper strengthens the exploration of machine learning techniques in stock market analysis.
Short Term Wind Forecasting Using Machine Learning Models with Noise Assisted Data Processing Method
Authors: Janbhi Sharma  , Heeba Faiyaz  , Advin Manhar
Published: July 2023

In order to address the complex and intermittent nature of wind, this thesis proposes an innovative approach to enhance the accuracy of short-term wind forecasting. By leveraging the strengths of different methods while mitigating their weaknesses, a robust hybrid model is developed. The methodology incorporates Empirical Mode Decomposition (EMD), a data-adaptive denoising technique, to break down the signals into meaningful components called Intrinsic Mode Functions (IMFs), along with a residue. However, EMD is known to suffer from the mode mixing problem, where different scales of signals are erroneously mixed within IMFs, causing signal intermittency. To overcome this challenge, Ensemble Empirical Mode Decomposition is introduced, utilizing an ensemble of white noise to establish a uniform reference frame in the time-frequency space. By doing so, the added noise effectively collates signal portions with similar scales into a single IMF. Subsequently, the IMFs and residue obtained from both EMD and Ensemble Empirical Mode Decomposition are fed into a Convolutional Neural Network (CNN). The performance of this hybrid model is then compared against benchmark models such as Bi LSTM and LSTM. Evaluation is conducted based on two critical factors: performance metrics including MSE, MAE, RMSE, MAPE, and loss, as well as the time required for testing. Through a comprehensive analysis of these factors, the superior performance of the hybrid model is determined, thereby enhancing the prospects of reliable wind forecasting.
A Study on Methods to Enhance the Stability of Riverbanks in Seaport Areas
Authors: Thang Ngoc Nguyen  , Tuan Anh Nguyen  , Duy Quoc Trinh
Published: July 2023

In the construction of irrigation structures, especially the wharf structures, it is important to learn about the deformation and damage of river banks in the wharf area. From assessing the stability of the river banks, a solution can be proposed to enhance the stability of the seaports, ensuring their safety during operation. Currently, the number of seaports located in soft soil accounts up to half the total number of seaports in Vietnam. The process of planning, designing, and constructing the foundation of the seaports is not optimized in Vietnam. Some seaports have uncounted problems when they are constructed on the soft soil. This paper aims to develop a method to reinforce the foundation of the riverbank so that the stability of the seaports can be maintained and any undesired deformation, or landslide, can be avoided. This method can help stabilize the structure that protects the seaports. The results obtained for the embankment structure with a stable wharf and a deep sliding with K=2.014 is larger than the allowable coefficient [K] = 1.25 in 22TCN 207-1992.
A Proposed Method to Identify the Occurrence of Diabetes in Human Body Using Data Analysis
Authors: Tanvir Rahman
Published: July 2023

Advanced machine-learning techniques are often used for reasoning-based diagnosis and advanced prediction system within the healthcare industry. The methods and algorithms are based on the historical clinical data and fact-based medicare evaluation. Diabetes is a global problem. Each year people are developing diabetes and due to diabetes, a lot of people are going for organ amputation. According to the World Health Organization (WHO), there is a sharp rise in number of people developing diabetes. In 1980, it was estimated that 180 million people with diabetes worldwide. This number has risen from 108 million to 422 million in 2014. WHO also reported that 1.6 million deaths in 2016 due to diabetes. Diabetes occurs due to insufficient production of insulin from pancreas. Several research show that unhealthy diet, smoking, less exercise, Body Mass Index (BMI) are the primary cause of diabetes. This paper shows the use of machine learning that can identify a patient of being diabetic or non-diabetic based on previous clinical data. In this article, a method is shown to analyze and compare the relationship between different clinical parameters such as age, BMI, Diet-chart, systolic Blood Pressure etc. After evaluating all the factors this research work successfully combined all the related factors in a single mathematical equation which is very effective to analyze the risk percentage and risk evaluation based on given input parameters by the participants or users.
Smart Energy Meter Using IoT
Authors: D. Venkatnath Dass  , S. Akhila  , R. Prasanjith
Published: July 2023

The increasing demand for efficient energy management and the rapid growth of Internet of Things (IoT) technology have led to the development of smart energy metering systems. This abstract presents a conceptual design of a smart energy meter that leverages IoT capabilities for enhanced monitoring, control, and optimization of energy consumption in residential and commercial settings. The proposed smart energy meter integrates advanced metering infrastructure (AMI) with IoT sensors, connectivity, and data analytics to enable real-time energy monitoring, intelligent load management, and energy efficiency improvements. The meter collects data on energy consumption, voltage levels, power quality, and other relevant parameters, which are transmitted wirelessly to a central monitoring system. By utilizing IoT connectivity, the smart energy meter facilitates two-way communication, allowing consumers to access their energy usage data remotely via mobile applications or web portals. This empowers users to monitor their energy consumption patterns, set energy-saving goals, and receive personalized recommendations for optimizing their energy usage.
Furthermore, the smart energy meter employs data analytics algorithms to analyze the collected energy data and generate actionable insights. These insights can be used to identify energy wastage, detect anomalies, and suggest energy-saving strategies. Additionally, the meter can automatically adjust energy loads based on peak demand periods, optimizing energy distribution and reducing overall energy costs. The proposed smart energy meter offers several benefits, including real-time monitoring, increased energy efficiency, cost savings, and reduced environmental impact. It enables consumers to make informed decisions about their energy usage, promotes sustainable practices, and contributes to the development of smarter and greener communities.
Free Fall Detection in UAV Missions
Authors: Wasantha Samarathunga
Published: July 2023

This research paper addresses the designing of high speed free fall detection and primary trigger generation problem as a part of an in-flight emergency technology developments for unmanned aerial vehicles. The primary trigger is the very first to be detected and to be generated with high speed and accuracy in designing protection mechanism. This trigger indicates that UAV started falling. Sequences of resulting mechanism such as airbag inflation comes secondly. Speed requirement is a deterministic factor when the flight altitude is low. In this paper a high speed analog module is proposed to achieve the primary trigger and performed relevant validation tests on linear free fall and rotational free fall which covers the majority of free fall patterns. The positive test results verify the design as a primary trigger generation module for linear and rotational free fall detection in low altitude UAV missions or which could be enhanced with additional features to form more complex system of airbag inflation in UAV in-flight emergency technology development.
Efficient Integration of Renewable Energy for Electric Vehicle Charging: A Hybrid System Approach
Authors: Seema Mahadik  , Dr. Pabitra Kumar Guchhait
Published: July 2023

Recent years have seen the development of a cutting-edge hybrid renewable energy charging station for electric cars (EVs). In order to provide an effective and long-lasting charging infrastructure for EVs, the project focuses on merging various renewable energy technologies, such as solar and wind power, with energy storage systems. Electric vehicles (EVs) are crucial in lowering carbon emissions and dependence on fossil fuels as the shift to sustainable transportation gathers steam. However, the creation of a reliable charging infrastructure is necessary for the broad adoption of EVs. In this project, a hybrid renewable energy-based electric vehicle charging station (HREB-EVCS) is designed and put into operation. The HREB-EVCS leverages the integration of renewable energy sources, such as solar and wind power, along with energy storage systems to ensure uninterrupted and sustainable charging for EVs. The project focuses on optimizing the utilization of renewable energy resources and managing the charging process efficiently. The charging station incorporates advanced control algorithms and smart grid technologies to intelligently distribute power among EVs based on demand, renewable energy availability, and grid conditions. The project aims to demonstrate the viability and effectiveness of the HREB-EVCS in providing clean, reliable, and cost-effective charging solutions for EVs. The results of the project will contribute to the advancement of sustainable transportation infrastructure and facilitate the wider adoption of EVs by addressing the challenges associated with charging infrastructure and renewable energy integration.
Improving Reading Comprehension skill for English Language Learners
Authors: Nguyen Thi Dao
Published: July 2023

It is a truth that bilingual students learn English differently from foreign language learners because the latter group interacts with many languages. After that, this article concentrates on reading in a second language for English language learners. The use of the first language, culturally disparate schemata, and a lack of vocabulary knowledge are all issues that English language learners must contend with when trying to improve their reading comprehension skills in the language. This article discusses these concerns and offers ideas for English teachers to receive better training. Improving the reading comprehension of English language learners requires cultivating cultural sensitivity, promoting biliteracy, and using explicit instruction in real-world situations. With the help of QuillBot's paraphraser, you can rapidly and effectively rework and rephrase your content by taking your sentences and making adjustments!
Impact of Moisture on Electrical Properties of Irrigated Red Soil Using LCR Meter
Authors: Quadri F B
Published: July 2023

Soil is an important component of various ecosystem pertaining to micro and macro organism. It is one of the complex entity comprising of chemical elements, micro sized flora and fauna. Study of soil has diversified aspects like physical, chemical, biological, electrical, etc. The present research paper deals with the electrical properties of soil of a particular location. It also tries to have an insight on the impact of moisture on these properties as a function of frequency. For the analysis part, IM 3570 HIOKI LCR meter from Aligent Technologies is used.
Distance between Slices Investigation on Siemens CT Phantom Images
Authors: Ida Ayu Sakinah  , Choirul Anam  , Eko Hidayanto  , Ariij Naufal
Published: July 2023

This study aims to develop an algorithm for automatic measurement of distance between slices on a Siemens CT phantom with variations of slice thickness and field of view (FOV). The Siemens 64-slice Somatom Perspective CT scanner was utilized to acquire the Siemens phantom image data, with slice thickness variation (i.e., 1, 2, 3, 4, and 5 mm) and FOV variation (i.e., 220, 240, and 300 mm). The distance between slices was calculated by comparing two images from different slice positions. The first stage was opening the images. The second stage was segmentation of the ramp object from image slice-1. The third stage was determination of the centroid coordinates of the ramp object from image slice-1. The fourth stage repeated the processes at second and third stages for slice-2. The fifth stage was calculating the distance between slices. The measured distances were compared with the set distances extracting from DICOM header for every slice position. The developed algorithm can measure distance between slices for variations of slice thickness and FOV. The results of automatic measurement of distance between slices have strong linear correlation ( > 0.99) with the set distances. The differences between automated measurement results and set distances are more than 2 mm for distances up to 50 mm or the differences are around 23% for both slice thickness and FOV variations.
Air Pollution by Inland Waterways Transportation in India
Authors: Parag Mehrotra  , Veera Senthil K
Published: July 2023

Economy of any country depends on the existence of an efficient transport sector. There exists different modes of transportation such as railways, roadways, inland waterways, coastal shipping and airways. Sea freight is the best choice for international freight shipping because ships are used for transporting 80% of the world’s goods by volume. But at the same time, it becomes a great threat to human and ecosystem in the form of carbon emissions. Now-a-days, inland waterways are preferred over roadways and railways for domestic shipping in all the countries. India invests more in the development of inland waterways to have a cost effective cargo shipping. As the number of inland vessels increases, it may lead to the severe impact on environment due to more carbon emissions. Unless steps to reduce carbon emissions from vessels are adopted, it could increase by as much as 20% to 120% by 2050. This study reviews the inland waterways transportation of India and investigates the air pollution from inland vessels.
Automatic Benign and Malignant Classification of Pulmonary Nodules in Thoracic Computed Tomography Images based on CNN Algorithm
Authors: Saya Sudhakar Babu  , G Ashwini  , Dr. T. Ramashri
Published: July 2023

The majority of the time, cancer symptoms only appear in the final stages of the disease, but with the use of advanced technology in which computer-aided systems, we can identify cancer at an early stage, then we may be able to treat it. These automated detection systems use a variety of machine learning techniques to identify lung cancer in its early stages. This type of automatic diagnosis of lung cancer is detected in computed tomography image modalities using convolution neural network. Compared to MRI and X-ray, CT pictures have the advantage of having less noise interference. Median filtering is applied to de-noising the CT scans to enhance the image quality. These pre-processed images are then fed through the Re-Lu layer CNN architecture. This architecture's several layers handle the feature extraction and categorization work. Different low-level and distinct high-level characteristics are extracted during the feature extraction phase. The classification layer is in charge of determining whether the presented image contains a benign or malignant, and it can able to classify the severity of malignance based on the infected area. To carry out the proposed model, CT image datasets are taken from Imaging data base Resource Initiative (IDRI) and Lung image Database consortium (LIDC) datasets. According to the findings, the suggested proposed system works with optimal results. The comparison demonstrates that the suggested proposed system outperforms the current cutting-edge technologies. The suggested proposed system will be beneficial for health care systems and medical diagnosis research. The proposed methodology is verified on MATLAB software.
A Study on the relationship among social support, occupational well-being and play activity support ability of early childhood pre-service teachers in China
Authors: LI Yaoyao , Jongnam Baek
Published: July 2023

A total of 542 early childhood pre-service teachers were collected using China online survey system (www.wjx.cn) to process data of early childhood pre-service teachers. The conclusions are as follows: (1) Social support of early childhood pre-service teachers directly affects professional well-being. (2) The professional well-being of early childhood pre-service teachers directly influences the support ability of play activities. (3) The professional well-being of early childhood pre-service teachers plays an intermediary role in the influence of social support on the support ability of play activities.