bluuebunny/crossref_metadata_2025 huggingface dataset:
ENHANCING EFL LEARNERS’ READING COMPREHENSION THROUGH SQ4R METHOD AT THE SECONDARY SCHOOLS
Authors: Nafi'ah Imroatun , Susilo Susilo , Rusmawaty Desy
Published: July 2022

This study is intended to investigate how EFL secondary students’ reading comprehension can be enhanced through the SQ4R method. The design of this study was classroom action research which involved 31 students from class IX-A of one secondary school in Samarinda, Indonesia. Two instruments were used in this study, i.e., an observation sheet and a reading test. The observation data were qualitatively analyzed using the provided checklist, while the data from reading test was quantitatively analyzed by having percentage analysis and categorizing the results into score levels. The results revealed that the implementation of the SQ4R method could enhance the students’ reading comprehension achievement. Quantitatively, 18 students (58%) out of 31 passed the KKM (minimum completeness criteria) in cycle 1; meanwhile, in cycle 2, 27 students (87%) out of 31 students passed the KKM. In addition, problems faced by the collaborator-teacher can be solved by the dynamics happening in the two cycles, which results in the betterment of the teaching and learning process using the SQ4R method. The reflection from the two cycles showed that SQ4R can improve EFL students' reading comprehension. As the method's impacts develop, teaching and learning quality changes.
STUDENTS’ LEARNING APPROACH IN THE EFL ONLINE LEARNING CONTEXT
Authors: Ningsih Alit Tri Santika , Santosa Made Hery , Myartawan I Putu Ngurah Wage
Published: July 2022

The switching between conventional learning to online learning during this pandemic quite affected the learning approach adopted by students. This study aims to determine the learning approach of the eighth-grade students at one of public schools in Bali during online learning. The mixed-method was used in this study with two instruments for data collection: the R-SPQ-2F questionnaire and semi-structured interviews. This study involved 168 eighth grade students of one public junior high school in Bali. The analysis of the mean score of R-SPQ-2F was used to evaluate the data from questionnaire, while the interactive model analysis was used to analyze the interview data. Based on the findings, the learning method of the eight-grade students in the context of online learning tends to be of deep approach. The results of the interview revealed that the student learning approach was influenced by several supporting and inhibiting factors. This shows that student learning approaches can adapt and be influenced by various factors faced by students during the learning process. These factors can come from within students and students’ learning environment. Therefore, teachers should have a better understanding of learning approaches adopted by students during online learning situations to assist students in achieving learning success.Keywords: EFL, online learning, students’ learning approach
META ANALISIS PENGARUH PENERAPAN STEM TERHADAP HASIL BELAJAR FISIKA PESERTA DIDIK
Authors: Triani Frima , Asrizal Asrizal , Usmeldi Usmeldi
Published: July 2022

Penelitian ini menganalisis pengaruh penerapan STEM terhadap hasil belajar fisika peserta didik ditentukan melalui Effect Size (ES). Data diperoleh dari 20 jurnal tentang pengaruh penerapan STEM terhadap hasil belajar fisika peserta didik. Kajian didasarkan pada dua kategori yaitu tingkat kelas dan materi pelajaran. Hasil penelitian yang diperoleh. Pertama, pengaruh penerapan STEM terhadap hasil belajar fisika peserta didik memberikan pengaruh yang berarti pada kelas XI SMA dimana rata-rata ukuran efeknya 2,05 dengan kategori sangat tinggi. Kedua, hasil meta analisis pengaruh penerapan STEM berdasarkan materi ditemukan bahwa pada fluida dinamis, fluida statis, dan usaha dan energi serta gelombang bunyi pengaruh penerapan STEM memberikan efek tinggi terhadap hasil belajar dan pada materi hukum Newton tentang gerak pengaruh penerapan STEM memberikan sedang terhadap hasil belajar siswa SMA. Jadi dapat disimpulkan bahwa ukuran efek pengaruh penerapan STEM terhadap hasil belajar ditinjau dari materi yang digunakan memberikan efek yang berbeda-beda.
Kinetika reaksi perolehan fosfat dari pengolahan limbah garam (bittern) menjadi struvite dengan reaktor vertikal
Authors: Ramadhani Anisah D. , Kulianto Agung F. , Edahwati Luluk
Published: July 2022

Bittern merupakan hasil dari penguapan atau endapan air laut dalam pembuatan garam. Bittern ini dapat dimanfaatkan untuk diolah menjadi struvite karena pada bittern terdapat kandungan Magnesium. Pada penelitian ini, peneliti akan mengkaji mengenai kinetika reaksi perolehan fosfat dari pembentukan struvite yang berasal dari limbah garam (bittern). Pembentukan struvite dilakukan dengan mencampurkan tiga senyawa yaitu Magnesium, Amonium, dan Phospat (MAP) dengan perbandingan 1:1:1. Alat yang digunakan adalah reaktor vertikal. Larutan MAP dimasukkan ke dalam reaktor dengan variasi suhu dan laju alir umpan. Variasi suhu yang digunakan adalah 25; 30; 35; 40; dan 450C, sedangkan variasi laju alir umpan yang digunakan adalah 5; 6,25; 8,33; 12,5; dan 25 ml/menit. Kedua variabel dijalankan dengan penambahan KOH. Semua variabel dijalankan sampai mencapai pH 9, dimana pH 9 adalah pH optimum pembentukan struvite, dan setelah mencapai pH 9, proses dihentikan. Endapan yang didapat lalu difiltrasi dan dikeringkan, lalu dilakukan Analisa endapan dengan metode XRF dan XRD. Dari hasil penelitian yang telah dilakukan, hasil konversi terbaik perolehan senyawa fosfat terdapat pada suhu 250C dan laju alir 5 ml/menit, yaitu sebesar 18,8%. Penelitian ini mengikuti reaksi orde-1 dengan nilai R2 yang mendekati 1, yaitu sebesar 0,9524 dengan tetapan laju reaksi 1,26.10-22.e(14125/T), dan energi aktivasi sebesar 117435,25 Joule.
Peningkatan ketangguhan dan ketahanan fatik siklus rendah pada baja ASSAB 709 M melalui proses annealing
Authors: Alian Helmy , Nukman Nukman , Badaruddin M. , Mataram Agung , Hadi Qomarul
Published: July 2022

Baja yang diaplikasi pada komponen-komponen mesin karena mengalami kondisi kerja yang berat dan adanya beban siklik yang lama harus memiliki kekuatan tinggi dan daktilitas yang tinggi. Penelitian ini, baja ASSAB 709 M diberi perlakuan panas annealing untuk memperbaiki sifat mekanik, perilaku fatik siklus rendah dan ketangguhan baja tersebut. Proses annealing dengan memanaskan spesimen di dalam furnace sampai temperatur austenisasi 825 °C, dengan waktu tahan 30 menit kemudian didinginkan perlahan sampai temperatur kamar . Sebelum dan sesudah proses annealing, dilakukan uji tarik, uji fatik siklus rendah (low cycle fatigue) dengan memvariasikan amplitude 0,0035 - 0,0110, impak, struktur mikro menggunakan optical microscopy(OM) dan permukaan fraktur dari spesimen dianalisis dengan menggunakan scanning electron microscopy (SEM). Struktur mikro baja ASSAB 709 M mengalami perubahan setelah annealing, dari banyaknya martensite lath menjadi terbentuknya pearlite and ferrite.. Perubahan mikrostruktur tersebut menyebabkan perubahan perilaku pada amplitudo regangan rendah dan tinggi akibat proses annealing. Peningkatan tegangan tekan dan peningkatan ketahanan kelelahan siklus rendah (low cycle fatigue) dari baja yang di annealing tergantung pada amplitudo regangan yang diterapkan.
KARAKTERISTIK CENDAWAN TERBAWA BENIH PADI ASAL KOTA BENGKULU
Authors: Zahara Nela , Pamekas Tunjung
Published: July 2022

Cendawan terbawa benih padi adalah cendawan yang dibawa oleh benih padi secara internal maupun eksternal yang berpotensi untuk menyebabkan penyakit tanaman padi. Penelitian ini bertujuan untuk mendapatkan jenis cendawan patogen tebawa benih padi. Penelitian ini dilaksanakan di Laboratorium Proteksi Tanaman, Fakultas Pertanian, Universitas Bengkulu. Metode penelitian meliputi pengambilan benih padi, isolasi cendawan terbawa benih pada media PDA (Potato Dextrose Agar), dan identifikasi cendawan secara makroskopis dan mikroskopis. Penelitian ini menggunakan tiga varietas padi yang banyak digunakkan di kota Bengkulu yakni inpari 33, Inpari 36, dan Beras merah. Dari hasil penelitian diperoleh 10 isolat cendawan, jumlah dan jenis dari patogen terbawa benih padi sangat dipengaruhi oleh asal daerah benih padi dan varietas benih padi. Dari 10 isolat cendawan yang didapatkan, ada 8 cendawan yang teridentifikasi yaitu satu Curvularia sp., dua Aspergillus flavus, dua Fusarium sp, dan tiga Penicillium sp serta 2 isolat belum teridentifikasi dengan kode isolat IN33JB dan BMJD
PERAN MAHASISWA DI LINGKUNGAN MASYARAKAT NAGARI SILAU MANIK KECAMATAN SIANTAR KABUPATEN SIMALUNGUN
Authors: Rambe Andina Halimsyah , Aufa Aufa , Juredah Juredah , Sianipar Mila Rosdiana , Dita Rahma
Published: July 2022

Sebagai generasi muda yang berwawasan dan memiliki nilai tambah, peserta didik dapat berperan dalam masyarakat dan satuan pendidikan, segala pemikiran yang dimiliki peserta didik dapat mengubah paradigma yang berkembang dalam suatu kelompok dan dapat bermuara pada tujuan yang ingin dicapai untuk kepentingan bersama. Penelitian ini merupakan penelitian lapangan. Tujuan dari penelitian ini adalah peneliti turun ke lapangan untuk melakukan observasi langsung. Dalam hal ini, lokasi penelitian berada di Desa Nagori Silau Manik, Kecamatan Siantar, Kabupaten Simalungun. Pendekatan yang digunakan dalam penelitian ini adalah jenis penelitian empiris, peneliti menggunakan pendekatan deskriptif kualitatif, suatu penelitian yang bertujuan untuk memberikan gambaran tentang suatu variabel, kelompok, atau fenomena sosial yang terjadi di masyarakat.
PROBLEMATIKA KEWENANGAN PENYELESAIAN SENGKETA PERTANAHAN BERUPA SERTIFIKAT HAK MILIK (SHM) ATAS TANAH (STUDI DI PENGADILAN TATA USAHA NEGARA MEDAN)
Authors: Tj Indra Utama , Siregar Muhammad Azhali , Rambe Muhammad Juang
Published: July 2022

Sertifikat hak milik (SHM) atas tanah kerap menjadi persengketaan antar individu di masyarakat. Penyelesaian konflik atau sengketa ini kerap tidak selesai dalam pendekatan kekeluargaan, sehingga harus disidangkan di pengadilan. Penelitian ini bertujuan untuk menganalisa problematika kewenangan penyelesaian sengketa pertanahan berupa SHM atas tanah. Adapun latar penelitian ini bertempat di pengadilan tata usaha negara Medan. Jenis penelitian ini adalah penelitian hukum normatif. Penelitian hukum normatif berfungsi untuk memberi argumentasi yuridis ketika terjadi kekosongan, kekaburan dan konflik norma. Sifat penelitian ini adalah penelitian hukum deskriptif-Preskriptif. Penelitian hukum yang bersifat deskriptif yaitu menggambarkan atau mendeskripsikan fakta-fakta dengan analisis dan sistematis. Hasil penelitian ini menyimpulkan bahwa (1) Sengketa pertanahan sebagai suatu genus penyelesaian sengketanya merupakan kekuasaan bersama (concurent authority) antara Peradilan Tata Usaha Negara dan Peradilan Umum; dan (2) Kriteria untuk menentukan kewenangan lembaga peradilan dalam sengketa pertanahan dapat dilihat dari beberpa aspek yaitu, substansi yang disengketakan menyangkut hak atau tidak, melihat asal usul penerbitan sertifikat (deklaratur atau konstitutif), dilihat dari aspek perbuatan hukum (rechtshandeling) yang melahirkan penerbitan sertifikat, dengan melihat kualifikasi perbuatan hukum dan peraturan apa yang melahirkan penerbitan sertifikat tersebut, subjectum litis, objectum litis, fundamentun petentdi dan petitum gugatan.
Using Word Wall Technique and Vocabulary Mastery on Students’ Writing Skill
Authors: Suryadi Suryadi
Published: July 2022

The study's purpose was to determine the effect of the word wall approach and vocabulary acquisition on students' writing skills. For this quasi-experimental study, students in MA Negeri 1 Serang's class XI IPA 1 are randomly assigned to one of four different factorial designs, each with a 2x2 nonequivalent control group. Data on learning outcomes were gathered via pre- and post-test activities. The samples consisted of 60 students picked at random and matched to the study's circumstances and objectives. The findings indicate a substantial difference between the experimental and control groups on the posttest. The Fo was 5.225, and the Sig. was 0.025<0.05. Thus, although the null hypothesis was rejected, the research hypothesis was supported. Additionally, it suggests that the impact of combining the word wall approach with vocabulary knowledge on pupils' writing ability varies.
Psychology Analysis of Main Character in the Novel Gitanjali by Febrialdi R
Authors: Bagtayan Zilfa A. , Lantowa Jafar
Published: July 2022

This study aims to describe the psychology of main characters in the novel Gitanjali by Febrialdi R. In detail, the purpose of this study is to describe the psyche of the main character when facing various kinds of problems in his life. This research uses the library method. The subject of this research is a novel entitled Gitanjali by Febrialdi R which was published by mediakita publisher in 2018. This study focuses on problems related to the psychological conflict experienced by the main character. The results showed that: First, the main character of the novel Gitanjali received injustice. An accident that happened when he worked at a restaurant made him dismissed from the restaurant because of his disability. Second, the main character experiences despair in his life and love relationship. He feels hopeless about his love relationship which is not going well due to the demanding parents of his partner. It made him insecure, moreover his partner was a lecturer while he was just an ordinary man. Third, the main character lives alone because since childhood he never knew his biological parents and only lived in an orphanage. Fourth, the main character is depressed due to the problems that come his way.
The Translation of Economic Terms in the Book The Psychology of Money
Authors: Agung I Gusti Ayu Mahatma , Suastini Ni Wayan , Putri Ni Putu Shintiya Jesi
Published: July 2022

Translating economic terms is a challenging task since the translator needs to understand economics and be able to convey the concepts to the target language. In translating economic books for lay readers, the translator also needs to consider the lexical choice so that the target readers can understand the translation easily. This study aims to analyze the translation procedures applied in the translation of economic terms in the book The Psychology of Money written by Morgan Housel and to find out whether the translation is oriented to the source language or the target language. The data in this study were analyzed qualitatively by using the taxonomy of translation procedures by Vinay and Darbelnet. The results showed that there were seven translation procedures applied in the translation of economic terms: borrowing, calque, literal translation, a combination of borrowing and literal translation, transposition, equivalence, and combination of transposition and borrowing. The literal translation is the most dominant translation procedure applied to translate economic terms. Based on the analysis of the translation procedures, it can be concluded that the translation of economic terms in this study is oriented to the source language.
Socio-Economic Causes and Rights of Differently Abled Persons in Pakistan: An Analysis
Authors: Dr. Fozia Naseem  , Dr. Lt. Col. (R) Rooh ul Amin  , Syed Muhammad Najam Ameer Shah
Published: July 2022

Special persons are a disregarded social and economic underclass often observed by the public as annoying, dependent persons in need of aid and misfortune, which influences on them by preserving their downgraded status. The article relates to the special persons, i.e. disabled blind, physically handicapped, and even hard of hearing persons who deserve special attitude and care not only from social services center but also from the government agencies which are particularly meant to provide all possible help and courage  to such most deserving people of the society. Toward the start of the 21st century, not every single influenced nation give the vital direction to young people, appropriate mindfulness, care and adolescence. This research is comparative analysis of the legal frame work on the rights of the persons with disabilities in Pakistan.  The rights of special persons in Pakistan continued to be violated. Individuals with incapacities likewise confront numerous social, monetary, physical and political handicaps, blocking their opportunity of development in the public arena. These boundaries incorporate shame and misconstruing of the capacities and yearnings of individuals with incapacities. They are the most distraught. Individuals with incapacities confront overpowering boundaries in training, abilities improvement and regular day to day existence there is additionally an absence of clearness of information, standards and controls, recovery focuses, and coordinated administrations and aptitude for individuals with inabilities. The search delves into the position of leadership in a bid to bring out the fact that those in power continue to violate the rights of special persons
Science Learning Through Interactive Teaching Method: An Experimental Study
Authors: Sajid Ali Yousuf Zai  , Fouzia Ajmal  , Saira Nudrat
Published: July 2022

An experimental study was conducted to find the impact of interactive teaching methods on science learning. 70 students from seventh grade were selected to participate in this study. A control group with 35 randomly assigned students was taught by the traditional lecture method and an experimental group with another 35 students was taught by an interactive teaching method. A pre-test was conducted before implementing the intervention to measure the baseline score while a post-test was administered to measure the impact of the intervention. An ANCOVA (Analysis of Covariance) was used to find the significant difference in science achievement scores of students between the traditional teaching method and interactive teaching method after controlling the effect of pre-test scores. There was a significant difference in students' science achievement scores between students in the traditional teaching group and students in the interactive teaching group, F (2, 67) = 153.47, p <.001 h2 = .82. It was concluded that the interactive teaching method significantly improves student science learning.
A Mobile Application for Touristic Routes in Riobamba-Ecuador and Its Usability Analysis
Authors: Quevedo Luis , Vinueza Paola , Aldaz Silvia , Pacheco Héctor , Coronado Cristopher , Merino Karla
Published: July 2022

This work presents an application for touristic routes implemented in a prototype system. The prototype was developed with Ionic Framework v5 which is an open-source UI toolkit for building performant high-quality mobile apps, with Angular as integration and web API in .NET 5.0. Google maps and Open Weather API were also included. An experimental analysis was performed to assess and validate the usability of the App prototype and the results evidenced a positive degree of satisfaction perceived by the users. Most of them enjoyed using the application, found the application simple to use, and thought that the interface was friendly. Even though the RutasRio App is still in its prototype stage and could be improved, we aim that this App contributes to the dynamization of the touristic sector in Riobamba in a post-pandemic COVID-19 scenario. As the App is in the first stage of implementation, the results obtained in this study could be useful for future works conducted to improve its functionalities

 

Received: 7 March 2022 / Accepted: 29 April 2022 / Published: 5 July 2022
The Impact of Pandemic on GDP Growth Rate, FDI and Export: A Case Study of Turkey
Authors: Veljanoska Florida , Houjeir Roudaina , Pacukaj Sokol
Published: July 2022

It has been two years since the outbreak of Covid 19, and we still live with the pandemic. No one knows when the pandemic will finish and how long it will take until all is back to normal and the global economy fully recovers from the pandemic. Undoubtedly, the Corona crisis has had devastating effects on the global economy. The global GDP decreased by 3.5%, the global FDIs were below $ 1 trillion for the first time in the last 20 years in 2020, falling 35% compared to 2019, and the global trade dropped 5.3% at the same time. The main objective of this paper is to discover the impact of a pandemic on the Turkish economy, or more precisely, on the Turkish GDP growth rate, FDI inflows, and export. To get the most reliable results, a multiple regression analysis has been conducted, using the contemporary economic software EViews 12. World Pandemic Uncertainty Index (WPUI) that was introduced by the International Monetary Fund (IMF) in 2020 was used as a measure of the uncertainty caused by the pandemic. For the robustness of the analysis, World Uncertainty Index (WUI), which measures the overall uncertainty caused by the economic and political factors, was also included. The data about GDP growth rate and export were provided from the World Bank Database, while the data for the FDI inflows from UNCTAD. Different independent variables were used in the research for each dependent variable (GDP growth rate, FDI inflows, and export). The research has shown that Covid 19 pandemic has a significant negative impact on the Turkish GDP growth rate (if we consider a 5% level of significance) and on the Turkish export (if we consider a 10% marginal level of significance). However, the regression analysis has shown that the pandemic has a positive but insignificant impact on FDI inflows to Turkey. The study will be a great benefit for further analysis of the impact of Covid 19 on economies as it is one of the first empirical studies that analyzes the effect of Covid 19 on a specific economy.

 

Received: 16 March 2022 / Accepted: 12 May 2022 / Published: 5 July 2022
Teachers’ Philosophies on Literacy Teaching and Learning in Five Rural Primary Schools in the Western Cape-George District
Authors: Mosito Cina P. , Dyasi Mzimkulu Samson Honey , Adewumi Toyin Mary
Published: July 2022

This qualitative study analysed Foundation Phase teachers’ philosophies on literacy teaching and learning. The analysis revealed a range of understandings that teachers’ tuition varied from drill work in class, to imaginative and engaging education that drew upon the inner resources of learners’ own knowledge. In most cases in this study, those teachers who displayed a limited and unreflective philosophy of learning literacy, mirrored their limitations in class; while the teachers with a broader understanding of the ethos, ethics and stipulations of literacy requirements demonstrated, even in trying circumstances, to deliver inspiring and quality literacy instruction. Five schools with eight Foundation Phase teachers in a rural area near George in the Western Cape Province of South Africa participated in this study. One-on-one, semi-structured interviews and classroom observations were the methods of gleaning data which were analysed and categorised to reveal dominant patterns of thought, behaviour and pedagogy.

 

Received: 8 July 2021 / Accepted: 18 May 2022 / Published: 5 July 2022
A Study of Teachers' Experiences and Perceptions of Research-Teaching Nexus in HEI (Higher Education Institutions)
Authors: Benayoune Abdelghani , Slimi Zouhaier , Alemu Abebe Ejigu
Published: July 2022

Due to institutional accreditation requirements, the linkage between research and teaching has become increasingly important for higher education institutions in Oman over the past few years. This study describes teachers' experiences and perceptions of the research and teaching nexus in Oman's higher education college. Staff at International Maritime College Oman (IMCO) were taken as samples to confirm the study's themes. This paper aims to study the views of faculty about integrating research into teaching and the factors that strengthen or weaken the nexus. Primary data was collected via survey questionnaires and focus group discussions. The finding indicates that staff perception of integrating research into teaching is diverse. However, the majority confirmed the positive contributions of integrating research into teaching. The study also finds that student engagement in research will improve undergraduate education. Hence, integrating research as part of the staff load, allocating some budget and training staff on how to conduct research will help improve staff and students' research engagement, which improves teaching quality. This study contributes to the debate around the research-teaching nexus in Oman's colleges and universities of higher education.

 

Received: 26 April 2022 / Accepted: 30 June 2022 / Published: 5 July 2022
The Implementation of Independent Learning Independent Campus: The New Paradigm of Education in Indonesia
Authors: Sa’diyah Maemunah , Nurhayati Immas , Endri Endri , Supriadi Dedi , Afrianto Yuggo
Published: July 2022

Independent Learning Independent Campus (MBKM) is a program to develop an education system that aligns graduate capacity with industrial needs. The compatibility between educational programs and the business world is a challenge in realizing Indonesia as a developed country in the era of the industrial revolution 4.0. This study aims to analyze the impact of the MBKM program on improving the performance of Ibn Khaldun University Bogor. The sample that participated in this study consisted of all active students, lecturers, and administration staff. Questionnaires were distributed to 6100 students, 233 lecturers, and 150 administration staff. The stages of research implementation are as follows: socializing the understanding of MBKM, filling out the survey, calculating the distribution of respondents' filling, and concluding the assessment category using the weighted mean score (WMS) method. It can conclude that MBKM improves the performance of Ibn Khaldun Bogor University with an average percentage of assessment criteria above 75%. From the integration of the weighted mean score assessment criteria and the IPA model, the attribute that needs to get priority for improvement is increasing students' soft and hard skills and the capacity and expertise of lecturers. The implementation of MBKM that can improve graduate learning achievement must be maintained.

 

Received: 21 April 2022 / Accepted: 29 June 2022 / Published: 5 July 2022
Produktifitas Hijauan Pakan Ternak Di UPT. Agroscience Teknopark Fakultas Peternakan Universitas Islam Lamongan
Authors: Dwi Cahyani Fitria , Mustofa Afifudin M. Muhid , Haqiqi Hamadullah Rosyad , Atma Alfian Adi Atma
Published: July 2022

Abstract
Grazing with a free range system uses a forage cropping pattern aimed at providing feed throughout the year. This study aims to study forage quality and pasture productivity managed by UPT. Agroscience Teknopark Faculty of Animal Husbandry Lamongan Islamic University by taking forage samples from 3 pastures. Forage samples in fresh form were collected at 3 different sampling points in each paddock by using a metered quadrant plate measuring 0.5x0.5 m. Fresh samples were weighed and then sorted by plant species for identification of the botanical composition. The sample is then mixed again, to be dried. Parameters measured include forage mass production, botanical composition, and capacity. The results showed that there are 7 types of species that grow in the pasture, namely 5 gramineae, 1 leguminosae and 1 type of weed. The average mass production of forage in fresh form is around 22.70 t/year, and forage in dry form is around 20.25 t/year, with a capacity of 6.52 AU
Keyword : Fresh Forage Production, Dry Forage Production and Holding Capacity.
Body Condition Score (BCS) Sapi Pesisir Di Kecamatan Lengayang, Kabupaten Pesisir Selatan, Sumatera Barat
Authors: Rastosari Adisti , Afriani Tinda , Hellyward James , Syahrial Syahrial
Published: July 2022

Abstract
This study aimed to determine the Body Condition Score (BCS) in Pesisir cattle. The Pesisir cattle used were 200 heads, which were located in Lengayang District, Pesisir Selatan Regency, Sumatera Barat Province. Research data was collected using a survey method by direct observations in the field and interviews with farmers. The research variable that was observed was the Body Condition Score (BCS). BCS value was measured using a scale of 1-3 (thin/medium/fat). The proportion of Pesisir cattle with BCS 1, 2, 3 was 14.5%, 70.5% and 15.0%, respectively. The BCS value of Pesisir cattle owned by farmers in the research location was in the normal range which refers to the standard BCS value of 1-3.
 Keyword: Body Condition Score, Pesisir cattle
Narco-estética en el Valle de Aburrá, una historia local por contar
Authors: Núñez César , Carantón Sánchez Ilvar Josué
Published: July 2022

Producto de las reflexiones y discusiones realizadas en el macroproyecto DEVA (Diccionario Descriptivo del Español del Valle de Aburrá), enfocado en reflejar el léxico de los diez municipios del Valle de Aburrá (Antioquia, Colombia), nace este documento que pone de manifiesto algunas de las formas de usos del lenguaje que se tornan violentos, pero que son poco evidentes en la cotidianidad de la ciudad; usos emanados de entrevistas a personajes quienes en revistas y en la televisión expresan sus ideas. En este texto se analiza esa violencia que históricamente ha sido la constante en las comunas de Medellín, pero que las coyunturas criminales han puesto de presente en las relaciones diarias y cómo las urgencias por sobrevivir han obligado a que muchos jóvenes asuman posturas y posiciones radicales; sutilezas y cambios que llevan una carga simbólica pesada y que se encubren en modelos y formas de interiorizar la imagen que proyectan los gustos narcos; construcción de subjetividades para ser aceptados socialmente, no todas ellas visibilizadas y mucho menos estudiadas.
PROFESSIONAL MOTIVATION OF STUDENTS
Authors:   Samara State Transport University, Manukyan A.A.
Published: July 2022

The article discusses the main parameters that link professional motivation with the values and life priorities of students. The level of professional motivation certainly affects the future work of graduates. Disclosure of internal motivators, the ability to listen, to live more concentratedly, meaningfully, analyze needs helps to see one's abilities, goal-setting and determining life orientations, setting priorities. Regular practice of identifying patterns of behavior reduces the level of emotional exhaustion and helps maintain cognitive functions. The importance of studying the problems of professional motivation, its role in working life, the formation of value motives in conditions of uncertainty help manage internal resources, stimulate social activity. An analysis of the parameters of professional motivation of students of humanitarian and technical universities showed their relationship with the socio-psychological climate, internal motivations, which allows us to conclude that the understanding of this problem is expanding and the need to form more productive cooperation between teachers and students. The material can be used in the process of studying at a university, psychodiagnostic tools during consultations and trainings.
SACRAL RHIZOME OF POETRY IN THE ESSAYS BY K.D. BALMONT AND S.A. YESENIN: CULTUROLOGICAL COMMENTATION
Authors:   Peoples' Friendship University of Russia, Dudareva M.A. , Aripova D.A. ,   Irkutsk National Research Technical University
Published: July 2022

The object of the article is the poetry rhizome phenomenon which has the qualities of apophaticism. The subject of the research is apophaticism of poetry. The material for the article is represented by well-known essays on art by two representatives of the Silver Age, K.D. Balmont and S.A. Yesenin. The cultural and philosophical analysis focuses on the interrelation of the Logos and silence, the phenomenal and the noumenal, the rational and pre-rational in the poets’ essays “Poetry as Magic” and “Mary’s Keys”. Much attention is paid to the problem of metaphysics in creativity, its apophatic aspect in the Russian cosmo-psycho-logos, which is crucially important for understanding the ontological issues connected with the writers' creativity. The research methodology involves the holistic onto-hermeneutic analysis aimed at highlighting the cultural potential of the given works of art, which makes it possible to describe the importance of the poetic word for a Russian in culturological terms, to delve into the specifics of the national way of life. Much attention is paid to the comparison of the two essays on art in the folkloristic and mythological aspect, as created by the Symbolist poet and the Imaginist poet at the same time. The research results may be of interest for literary historians who treat literature in the aspect of its inclusion in the space of a broader dialogue of cultures. Additionally, they may be used in teaching cultural studies and Russian philosophy.
Perancangan aplikasi reservation room pada hotel xyz di Indramayu
Authors: Sumardiono  , Sofyan Efendi  , Hadi Santosa
Published: July 2022

Management for a business or business is really needed, including management in the hotel environment related to room reservations or room reservations. Room reservations made by consumers at a hotel are administrative matters, so it is necessary to have records or data that need to be stored and retrieved with the aim of being more useful information for the management. This research is an applied research that applies a system development method in the form of the SDLC (Software Development Life Cycle) method with the application of a prototype model. As for data acquisition, researchers use literature studies, observations, and interviews to obtain data in the form of problems that occur, and are called primary data. Meanwhile, in the application of the method using a prototype model, it is carried out in 3 phases, namely the planning phase (data analysis), the design and implementation phase, and the system evaluation phase. The results of this study are in the form of e-reservation room software that was tested in offline conditions. Hope this research can help the management at xyz hotel, especially in serving hotel room reservations.
Cyber Defense in the Age of Artificial Intelligence and Machine Learning for Financial Fraud Detection Application
Authors: Narsimha B. , Raghavendran Ch V , Rajyalakshmi Pannangi , Reddy G Kasi , Bhargavi M. , Naresh P.
Published: July 2022

Cyber security comes with a combination of various security policies, AI techniques, network technologies that work together to protect various computing resources like computing networks, intelligent programs, and sensitive data from attacks. Nowadays, the shift to digital freedom had led to opened many new challenges for financial services. Cybercriminals have found the ability to leverage e- currency exchanges and other financial transactions to perform their fraudulent activities. The unregulated channel makes it essential for banks and financial institutions to deploy advanced AI & ML (DL) techniques to fight cybercrime. This can be implemented by deploying AI & ML (DL) techniques. Customers are experiencing an increase in the fraud-hit rate in financial banking operations. It is difficult to defend against dynamic cyber-attacks using conventional non- dynamic algorithms. Therefore, AI with machine learning techniques has been set up with cyber security to build intelligent models for malware categorization & intelligently sensing the fraught with danger. This paper introduces the cyber security defense mechanism by using artificial intelligence (AI), machine learning (ML)) techniques with the current Feedzai security model to identifying fraudulent banking transaction. We have given a preface to the popular ML & AI model with random forest algorithm and Feedzai’s Open ML fraud detection software tool, which provides automatic fraud-recognition to the current intelligent framework for solving Financial Fraud Detection.
Effect of Machine Learning Techniques for Efficient Classification of EMG Patterns in Gait Disorders
Authors: Kumar Manoj , Gautam Pratiksha , Semwal Vijay Bhaskar
Published: July 2022

Gait disorder is very common in neurodegenerative diseases and differentiating among the same kinematic design is a very challenging task. The muscle activity is responsible for the creation of kinematic patterns. Hence, one optimal way to monitor this issue is to analyse the muscle pattern to identify the gait disorders. In this paper, we will investigate the possibility of identifying GAIT disorders using EMG patterns with the help of various machine learning algorithms. Twenty-five normal persons (13 male and 12 females, age around 28 years of age) and 21 persons having GAIT disorders (11 male and 10 females, age around 67 years of age). Four different machine learning algorithms have been used to identify EMG patterns to recognize healthy and unhealthy persons. The results obtained so far have been used to distinguish between GAIT disorders and healthy patients. Our proposed system can also prove that Recurrent Neural Network has achieved the best accuracy with 91.3 % in the case of two classes and 86.95 % in the case of three classes compared to other machine learning algorithms.
Optimization of Software Quality Attributes using Evolutionary Algorithm
Authors: Makkar Priyanka , Sikka Sunil , Malhotra Anshu
Published: July 2022

Software quality is a multidimensional concept. Single attribute can’t define the overall quality of the software. Software developer aims to develop software that possesses maximum software quality which depends upon various software quality attributes such as understand ability, flexibility, reusability, effectiveness, extendibility, functionality, and many more. All these software quality attributes are linked with each other and conflicting in nature. Further, these quality attributes depend upon the design properties of the software. During the designing phase of software, developers must optimize the design properties to develop good software quality. To obtain the appropriate value optimization is done. This paper implemented two multi-objective evolutionary algorithms (NSGA-2 and MOEA/D) to optimize software design properties to enhance software quality. While comparing NSGA-2 algorithm with original values it is found that there is a 1.73% improvement in the software quality on the other hand MOEA/D shows a 3.58% improvement in the software quality.
A Survey on Various Machine Learning Techniques for an Efficient Brain Tumor Detection from MRI Images
Authors: Sanjay V. , Swarnalatha P.
Published: July 2022

On account of the uncontrolled and quick growth of cells, Brain Tumor (BT) occurs. It may bring about death if not treated at an early phase. Brain Tumor Detection (BTD) has turned out to be a propitious research field in the current decennia. Precise segmentation along with classification sustains to be a difficult task in spite of several important efforts and propitious results in this field. The main complexity of BTD emerges from the change in tumor location, shape, along with size. Providing detailed literature on BTD via Magnetic Resonance Imaging (MRI) utilizing Machine Learning (ML) methods to aid the researchers is the goal of this review. Diverse datasets are mentioned which are utilized most often in the surveyed articles as a prime source of Brain Disease (BD) data. Furthermore, a concise epitome of diverse segmentation methods that are utilized in diagnosing BDs has been offered. Lastly, an outline of key outcomes from the surveyed articles is exhibited, and several main problems related to ML-centred BD diagnostic methodologies are elucidated. The most precise method to detect diverse BDs can be engaged for future advancement via this study.
FPGA Design of Real Time Hardware for Face Detection
Authors: Suh Kibum
Published: July 2022

This paper proposes the hardware architecture of face detection FPGA hardware system using the AdaBoost algorithm. The proposed structure of face detection hardware system is possible to work in 30 frames per second and in real time. And the AdaBoost algorithm is adopted to learn and generate the characteristics of the face data by MATLAB, and finally detected the face using this data. This paper describes the face detection hardware structure composed of image scaler, integral image extraction, face comparing, memory interface, data grouper and detected result display. The proposed circuit is so designed to process one point in one cycle that the proposed design can process full HD (1920x1080) image at 70MHz, which is approximate 2316087 x 30 cycle.
1-Dimensional Convolutional Neural Network Based Blood Pressure Estimation with Photo plethysmography Signals and Semi-Classical Signal Analysis
Authors: Kim Seong-Hyun , Jeong Eui-Rim
Published: July 2022

In this paper, we propose a 1-Dimensional Convolutional Neural Network (1D-CNN) based Blood Pressure (BP) estimation using Photo plethysmography (PPG) signals and their features obtained through Semi-classical Signal Analysis (SCSA). The procedure of the proposed BP estimation technique is as follows. First, PPG signals are divided into each beat. Then, 9 features are obtained through SCSA for the divided beats. In addition, 5 biometric data are used. The Biometrics data include Heart Rate (HR), age, sex, height, and weight. The total 14 features are used for training and validating the 1D-CNN BP estimation model. After testing three types of 1D-CNNs, the model with the most optimal performance is selected. The selected model structure consists of three convolutional layers and one fully connected layer. The performance is measured by Mean Error (ME) ± Standard Deviation (STD) following the Association for the Advancement of Medical Instrumentation (AAMI) standard. According to the results of the test, Systolic Blood Pressure (SBP) is -2.99±14.48 mmHg and Diastolic Blood Pressure (DBP) is 1.16±9.30 mmHg. Using the proposed technique, blood pressure can be easily predicted using PPG obtained with a non-invasive and cuff-less wearable sensor.
An Advanced and Efficient Cluster Key Management Scheme for Agriculture Precision IoT Based Systems
Authors: Anand Sakshi , Sharma Avinash
Published: July 2022

Things that connect to other devices & systems via Internet or communication networks are called IoT. It can also be said as a network of wireless sensors connected to a cloud and controlled by embedded devices. Considering the large framework of IoT, it becomes a little difficult to maintain security at each sensor node especially with limited information regarding hardware and deployment capabilities. Therefore, management of keys has become a point of concern peculiarly taking account of node capturing attack. This paper proposes an advanced cluster key management scheme for agriculture precision which involves EBS constructor and Chinese remainder theorem together. Once the data is collected from the nodes and a list is created, it is sent from the Cluster Head to the Backend Server, which filters it for hostile IDs and ignore the unauthentic sensor, returning filtered list with preloaded keys, & an authentication code to Cluster Head for use. To ensure added security, in this scheme encryption of data is done twice. Upon comparing the proposed scheme with others, it has been observed that we have achieved higher delivery ratio and reduced the energy consumption and packet drop rate to a great extent.
A Comparison of Machine Learning and Deep Learning Models for Predicting Household Food Security Status
Authors: Nigus Mersha , Shashirekha H.L
Published: July 2022

ML and DL algorithms are becoming more popular to predict household food security status, which can be used by the governments and policymakers of the country to provide a food supply for the needy in case of emergency. ML models, namely: k-Nearest Neighbor (kNN), Logistic Regression (LR), Support Vector Machine (SVM), Naive Bayes (NB), Multi-Layer Perceptron (MLP) and DL models, namely: Artificial Neural Network (ANN) and Convolutional Neural network (CNN) are investigated to predict household food security status in Household Income, Consumption and Expenditure (HICE) survey data of Ethiopia. The standard evaluation measures such as accuracy, precision, recall, F1-score, Mean Absolute Error (MAE), and Root Mean Square Error (RMSE) are used to evaluate the models' predictive performance, and the experimental results reveal that ANN, a DL model surpassed the ML classifiers with an accuracy of 99.15%
Design and Leakage Power Optimization of 6T Static Random Access Memory Cell Using Cadence Virtuoso
Authors: Banu Sufia , Gupta Shweta
Published: July 2022

Reduction of Leakage power at nano meter regime has become a challenging factor for VLSI designers. This is owing to the need for low-power, battery-powered portable pads, high-end gadgets and various communication devices. Memories are made up of Static RAM and Dynamic RAM. SRAM has had a tremendous impact on the global VLSI industry and is preferred over DRAM because of its low read and write access time. This research study proposes a new method has been proposed of 6T Static Random Access Memory cell to decrease the leakage current at various technologies. Three source biasing methods are used to minimize the 6T SRAM cell leakage power. The three methods are NMOS diode clamping, PMOS diode clamping and NMOS-PMOS diode clamping at 45 nm and 90 nm technology nodes. This paper also emphasizes on the implementation of 6T SRAM cell using Multiple Threshold CMOS (MTCMOS) technique at 45nm technology. The simulation is achieved and various power dissipations are analyzed at supply voltage of 0.9 V and 0.45 V for 90 nm and 45 nm technology respectively using cadence virtuoso tool. PMOS clamping has shown the reduction in an average power by 82.19% than compared to other two proposed techniques.
Generalized Solution of Transport Equation
Authors: Benmerrous Abdelmjid , Chadli Lalla Saadia , Moujahid Abdelaziz , Melliani Said
Published: July 2022

This paper proves the existence and uniqueness of solution of irregular transport problem with variable speed and initial data in the Colombeau algebra G, and some important proprieties of Colombeau algebra. The existence of distribution solutions to some classes of such equations is proven.
Emotion recognition bias depends on stimulus morphing strategy
Authors: Vikhanova Anastasia , Mareschal Isabelle , Tibber Marc
Published: July 2022

Emotion recognition is vital for social interactions, and atypical (or biased) emotion recognition has been linked to mental health disorders including depression and anxiety. However, biases in emotion recognition vary across studies, and it is unclear whether this reflects genuine group differences in psychological processes underlying emotion recognition or differences in methodologies. One common method to measure biases in emotion recognition involves morphing a face between two emotional expressions in different ratios and asking participants to categorise the faces as belonging to one of the two emotion categories (‘direct-morphing’ method). However, this method creates morphed faces that are not ecologically valid. Alternatively, faces may be morphed through a neutral expression (‘morphing-through-neutral’ method), which is more ecologically valid since emotional expressions usually start from a neutral face. To compare these two approaches, we measured emotion recognition biases using two morphing techniques in 136 participants who also completed measures of anxiety (GAD-7) and depression (PHQ-9). Biases obtained using the two methods differed significantly: In the direct-morphing method, participants perceived the central 50% happy/50% angry face as slightly happy, whereas in the morphing-through-neutral method the neutral face was seen as angry. There were no associations between biases and depression or anxiety scores for either morphing method. This study is the first to directly compare emotion recognition biases obtained using two different morphing methods and is a first step towards reconciling discrepancies in the literature.