bluuebunny/crossref_metadata_2025 huggingface dataset:
Pola Asuh Orang Tua Dalam Membentuk Sikap Sosial Peserta Didik
Authors: Arman Arman , Hamzah Amir , Mustamir Mustamir
Published: January 2022

Ada tiga lingkaran yang saling mempengaruhi, yaitu keluarga, sekolah dan masyarakat keluarga merupakan sumber pendidikan utama karena segala pengetahuan dan kecerdasan intelektual manusia diperoleh pertama dari keluarganya sendiri. Metode penelitian yang digunakan dalam penelitian ini menggunakan penelitian kualitatif deskriptif naturalistic.  Guba mempergunakan nama “Naturalistic Inquiry” (inkuiri naturalistik) cara mengamati dan pengumpulan data yang dilakukan dalam latar/seting alamiah, artinya tanpa memanipulasi subjek yang diteliti. Penelitian naturalistik adalah untuk mengetahui aktualitas, realitas sosial dan persepsi manusia melalui pengakuan mereka yang mungkin tidak dapat diungkap melalui penonjolan pengukuran formal atau pertanyaan penelitian yang telah dipersiapkan terlebih dahulu.  Triangulasi dengan wawancara  menggunakan teknik purposive terhadap 19 narasumber kunci di MTs Negeri 4 Sinjai, yaitu 5 tenaga pendidik, 4 orang tua peserta didik dan 10 peserta didik. Pola asuh orang tua memiliki peran yang besar terhadap perkembangan moral anak ketika dewasa, Pola asuh orangtua, pada dasarnya ada 3 macam, yaitu “pola asuh demokratis, otoriter dan permisif. gambaran sikap sosial peserta didik, di temui bahwa pembentukan sikap sosial adalah Faktor utama terbentuknya sikap peserta didik. Sikap merupakan; (1) reaksi efektif yang bersifat positif, negatif, atau campuran antara keduanya yang mengandung perasaan-perasaan kita terhadap suatu objek, (2) kecenderungan berperilaku dengan cara tertentu, terhadap suatu ojek tertentu, dan (3) reaksi kognitif sebagai penilaian kita terhadap suatu objek yang didasarkan pada ingatan, pengetahuan dan kepercayaan yang relevan. beberapa faktor yang mempengaruhi dalam pola pengasuhan orang tua adalah: Latar belakang pengasuhan orang tua, Tingkat pendidikan orang tua, Stasus ekonomi serta pekerjaan orang tua. Pola asuh yang dominan digunakan adalah demokratis.
Predictive Analysis in Business Analytics: Application of Decision Tree in Business Decision Making
Authors: Lee Chee Sun , Cheang Peck Yeng Sharon
Published: January 2022

Business Analytics was defined as one of the most important aspects of combinations of skills, technologies and practices which scrutinize a corporation’s data and performance to transpire a data driven decision making analysis for a corporation’s future direction and investment plans. In this paper, much of the focus will be given to the predictive analysis which is a branch of business analytics which scrutinize the application of input data, statistical combinations and intelligence machine learning (ML) statistics on predicting the plausibility of a particular event happening, forecast future trends or outcomes utilizing on hand data with the final objective of improving performance of the corporation. Predictive analysis has been gaining much attention in the late 20th century and it has been around for decades, but as technology advances, so does this technique and the techniques include data mining, big data analytics, and prescriptive analytics. Last but not least, the decision tree methodology (DT) which is a supervised simple classification tool for predictive analysis which be fully scrutinized below for applying predictive business analytics and DT in business applications
Clinical Analysis of Four Maternity Deaths in Iraq by COVID-19
Authors: Thamir Asmaa R. , Hameed Ban H. , Ismael Vian A. , Hassan Wassan Nori , Salamit Abeer Makki
Published: January 2022

This study aims to identify maternal death cases caused by Coronavirus infection 2019 pneumonia, including disease progression, fetal consequences, and the fatality cause.

Patients and methodology: A retrospective case collection of Iraqi pregnant women in their second and third trimesters diagnosed with COVID-19 pneumonia and died due to it.

The four cases were all of a young age, had a brief complaint period, and had no comorbidities. Fever, dyspnea, and fatigue were the most common symptoms. Hypoxia was present in all cases and was the cause of mortality in three cases, with thromboembolism being a potential cause in the fourth. Prelabour membrane breakup, fetal growth restriction, and fetal death are all examples of adverse fetal effects.

Conclusion: COVID-19 pneumonia induces substantial fetal and maternal mortality rates through pregnancy, which should be considered when treating these cases.
Knowledge, Attitude, and Practice of Nurseries' Workers toward Infection Prevention among the Children
Authors: Al-Shatari Sahar Abdul Hassan , Ghafouri Tayser Salah
Published: January 2022

Background: Infections are common in the children attending daycare centers how act as predisposes to it. Hygienic interventions have a fundamental role in infection control and disease prevention in child care settings.

Objective: - To evaluate the knowledge, attitude, and practice of nurseries workers in infection prevention and control among the children.

Subjects and Methods: A cross-sectional study using the researcher-developed questionnaire validated by two experts and piloted and 100 nurseries-workers had participated in it.

Result: the mean age of participants was 37.5 years±12.1, (37%) aged 18-30 yrs, 58% married, and 57% with higher education, 54% of nurseries the participant take care of 11-20 children. 67 (67%) had correct knowledge about infection control, (91%) had the corrected practice, but unfortunately, 47 (47%) had low-attitude. Education level has significantly associated with the knowledge, attitude, and practice of the child care workers.

Conclusion: the majority of the nurseries workers had good knowledge and correct practice and less about their attitude in infection prevention.
Information Technology for Designing Rule bases of Fuzzy Systems using Ant Colony Optimization
Authors: Kozlov Oleksiy
Published: January 2022

This paper proposes the universal information technology for designing the rule bases (RB) with the formation of optimal consequents for fuzzy systems (FS) of different types on the basis of ant colony optimization (ACO) techniques. The developed ACO-based information technology allows effectively synthesizing rule bases of various dimensions both for the MISO and MIMO fuzzy systems taking into account the particular features of the RB consequents formation in the conditions of insufficient initial information. In order to study and validate the efficiency of the presented information technology the design of the RB for the adaptive fuzzy control system of the ship steering device is carried out in this work. The computer simulations results show that adaptive control system with developed RB provides achievement of high enough quality indicators of rudder angle control. Thus, application of the proposed ACO-based information technology allows designing effective RB with optimal consequents by means of minor computational costs that, in turn, confirms its high efficiency.
Using Latent Dirichlet Allocation and Text Mining Techniques for Understanding Medical Literature
Authors: Alhashmi Saadat M. , Maree Mohammed , Saadeddin Zaina
Published: January 2022

Over the past few years, numerous studies and research articles have been published in the medical literature review domain. The topics covered by these researches included medical information retrieval, disease statistics, drug analysis, and many other fields and application domains. In this paper, we employ various text mining and data analysis techniques in an attempt to discover trending topics and topic concordance in the healthcare literature and data mining field. This analysis focuses on healthcare literature and bibliometric data and word association rules applied to 1945 research articles that had been published between the years 2006 and 2019. Our aim in this context is to assist saving time and effort required for manually summarizing large-scale amounts of information in such a broad and multi-disciplinary domain. To carry out this task, we employ topic modeling techniques through the utilization of Latent Dirichlet Allocation (LDA), in addition to various document and word embedding and clustering approaches. Findings reveal that since 2010 the interest in the healthcare big data analysis has increased significantly, as demonstrated by the five most commonly used topics in this domain.
Earth’s Stratospheric Aerosol Parameters Reconstruction from Polarimetric Measurements of the Sky
Authors: Nevodovskyi Petro , Ovsak Oleksandr , Vidmachenko Anatoliy , Ivakhiv Оrest , Zbrutskyi Oleksandr , Geraimchuk Мykhaylo
Published: January 2022

Earth’s climate changes are the result of natural changes in the energy balance of Sun irradiation and influence of anthropogenic factors on the variations of ozone layer thickness and stratospheric aerosol abundance. It is developed a miniature polarimeter for satellite polarimetric experiments in the ultraviolet region of the sunlight spectrum. The main task of this device is to the obtain an information on the stratospheric aerosol physical properties. We tested this polarimeter on a bench specially designed and manufactured as well. It is possible to measure by it the phase dependences of the degree of linear polarization (DLP) of solar radiation scattered by the Earth’s atmosphere. A set of special computer programs was developed for comparing the spectral polarimetric measurements DLP data of cloudless sky with model calculations of DLP for the artificial gas-aerosol medium. Thus, the prototype of satellite polarimeter as well as special computer programs make it possible to study the Earth’s atmosphere aerosol physical characteristics.
A Robust User Authentication Technique in Online Examination
Authors: Karim Nader Abdel , Kanaker Hasan , Almasadeh Shadi , Zarqou Jamal
Published: January 2022

User authentication in the online environment is promoting a hugely challenging issue. This has contributed to the realization of a user authentication where the exams can be performed over the Internet at any time and from any place and by using any digital device. Consequently, further investigations are required to focus on improving user authentication methods to enhance online security mechanisms, especially in the field of e-exams. This research proposes a new user authentication technique based on the user interface (UI). The novel idea is created based on the design preferences of candidates who are taking the e-exams. Several design features are used to design a special user interface for e-exams, for example, the font attributes, back colour, number of questions per page, group categories for questions based on difficulties, and timer setting. The introduced technique can be used to support the user authentication process in the e-exams environment. Furthermore, the proposed technique provides the ability to login to the e-exam without the need to remember the login information, but to select what the student prefers according to his/her personal information. Based on the literature review, a primary evaluation claiming that the students have differences in their preferences and that each user has stable design preferences within different sessions is revealed. In regard to these facts, they become the resource and essence of this research. The security performance of the proposed method is evaluated. The results of the experiments show a false positive (FP) rate of 0.416% and a false negative (FN) rate of 0%.
The Measurement of Popularity and Prevalence of Software Vulnerability
Authors: Tatarinova Yuliia , Sinelnikova Olha
Published: January 2022

Prioritizing bug fixes becomes a daunting task due to the increasing number of vulnerability disclosure programs.  When making a decision, not only the Common Vulnerability Scoring System (CVSS) but also the probability of exploitation, the trend of particular security issues should be taken into account. This paper aims to discuss the sources and approaches for measuring degree of interest in a specific vulnerability at a particular point in real-time. This research presents а new metric and estimation model which is based on vulnerability assessment. We compared several techniques to determine the most suitable approach and relevant sources for improving vulnerability management and prioritization problems. We chose the Google Trend analytics tool to gather trend data, distinguish main features and build data set. The result of this study is the regression equation which helps efficiently prioritize vulnerabilities considering the public interest in the particular security issue. The proposed method provides the popularity estimation of Common Vulnerabilities and Exposures (CVE) using public resources.
The Parametric Optimization of Voltage Multiplier
Authors: Samotyy Volodymyr , Dzelendzyak Ulyana , Pavelchak Andriy
Published: January 2022

The evolutionary model of voltage multiplier parametric optimization which includes 5 diodes and 5 capacitors is reviewed. It executes the transformation of alternating into constant voltage using a five times larger amplitude. The valve work is modelled according to the scheme of an ideal key. The original mathematical model of voltage multiplier which includes additional logical variables is deducted. It aссepts binary meanings 0 and 1, where 0 corresponds to closed valve status and 1 corresponds to open. In order to receive such a model, it is necessary to indicate the amount of open and closed valve combinations. Then for each of them, it is necessary to write the system of differential equations. Comparing them with each other the single differential equation system with additional logical variables is written as a generalization. The evolutional model is used in order to select the capacitor volume meaning. The goal function forecasts two conditions: maximum meaning of output voltage 1 kV and its minimal fluctuations in the stable regime.
Learning Based Super Resolution Application for Hyperspectral Images
Authors: AYDİLEK Hüseyin , İNANÇ Nihat
Published: January 2022

Due to its spectral properties, hyperspectral imaging is superior to other types of imaging tools in identifying, distinguishing and classifying objects. Hyperspectral imaging instruments can detect light reflected from certain wavelengths between infrared and ultraviolet, apart from the wavelength that the human eye can distinguish on the electromagnetic spectrum. While this feature provides detailed information about the spectral feature of the object under investigation, it causes its spatial resolution to be low due to the technical overlap between spatial resolution and spectral resolution. Today, applications of hyperspectral images are increasing in important fields such as agriculture, mining, medicine and pharmacy, especially for military purposes. In order for applications to produce more precise results, high spatial resolution is required, as well as high spectral information. Hardware solving of low spatial resolution problem is a difficult and costly method. Therefore, software solution is an interesting area in the field of image processing. In this thesis, a hybrid solution method based on deep learning and sparse representation is proposed to increase the low spatial resolution of hyperspectral images. The method obtains a super-resolution image from a single hyperspectral image with a low spatial image with a deep convolutional mesh. Later, the super-resolution image obtained and the original low-spatial-resolution hyperspectral image are fused with the dictionary learning method, resulting in a new super-resolution image with high spectral and spatial resolutions. The application results show that our method achieves successful results compared to many super resolution applications in the literature.
Matrix Pencil Method and Singular Value Decomposition Application for DOA Estimation Using Linear Antenna Array with Multiple Signal Sources
Authors: AYTAŞ Nilay , AFACAN Erkan , İNANÇ Nihat
Published: January 2022

The practice of estimating the direction of the signal emitted from signal sources using linear antenna arrays is used effectively in both military and civilian radar systems. While the number of signal sources was single in the first studies, the systems that estimated the direction angle of the source have now gained the ability to estimate the direction angle of the signals emitted from more than one signal source at the same time with high accuracy, thanks to the deepening researches. In this study, it is aimed to estimate the angle of incidence of noisy signals emitted from multiple signal sources with the least error by using the Matrix Pencil Method and linear antenna array, which is one of the signal subspaceanalysis methods. In addition, the signals are separated from the noise factor by using the Singular Value Decomposition method. Simulations have been carried out in many different scenarios, and it has been shown that the combination of Matrix Pencil Method and Singular Value Decomposition methods can be used for highly accurate results in estimating the direction of multiple signals coming into the antenna array.
The Reflections of Language Exposure in Foreign Language Learning
Authors: KÜÇÜKLER Sevdenur , SULAC Sofia
Published: January 2022

Language exposure refers to the level of the learners contact with their target languages which they are learning or attempting to learn. Generally, most researchers refer language exposure to student’s practices outside the classroom which extensively impacts on their target language learning. The lack of practicing of a language hampers their speaking in a foreign language and hence create the need to solve this problem. Students that can not be speak a foreign language fluently, especially English find themselves unable to communicate clearly during speaking.This can be frustrating and hence helping to solve failure in speaking a foreign language. Exposure to language motivate students’ willingness to learn. By modeling and encouraging a safe environment and purposeful rules, students feel motivated to do the right thing and help one another. It is important for teachers to put an emphasis on intrinsic motivation in the classroom to keep students interested and invested in their own learning goals. For this reason, this research advocates that if scholars can embrace speaking in English during university eduction.The purposeof the study is that exposure of language to students who study foreign languages in Komrat University of Gagauzia and students who study in English department at Balıkesir University is discussed. The study was carried out during 2020 academic year. There were 102 participants from Balıkesir University and 108 participants from Komrat University. The data of the study were collected by the "Exposure Scale to English" developed by Gökcan and Çobanoğlu Aktan (2017) for foreign language students.Research questions were directed to students to measure how much of their time were exposed to English.The results from the study are also in line with other present research which reveal that more than 51.43 percent of students in Balikesir were increasingly exposed to the English language in school, at home, while interacting with friends, and media
Development and validation of a prognostic nomogram for lower-grade glioma based on an autophagy-related lncRNA signature
Authors: Lin Jiazhe , Lin Nuan , Zhao Wei-jiang
Published: January 2022

Introduction

Gliomas account for 75% of the primary malignant brain tumors. The prognosis and treatment planning vary in lower-grade gliomas (LGG) due to their heterogeneous clinical behaviors. The dysregulation of autophagy-related (ATG) lncRNAs plays a crucial role in LGG. We aimed to develop and validate an ATG lncRNA risk signature, and a survival nomogram with integration of novel prognostic for LGG patients.

Material and methods

Differentially expressed ATG lncRNAs were screened out based on TCGA and GTEx RNA-seq databases. ATG lncRNA prognostic signature was then established by Kaplan–Meier, univariate Cox proportional hazards regression, Least absolute shrinkage and selection operator (LASSO) regression and multivariate Cox proportional hazards regression, with its predictive value validated by time-dependent receiver operating characteristic (ROC) curves. Kaplan–Meier, univariate Cox regression and multivariate Cox proportional hazards regression were used to screen out clinical and molecular variables. A nomogram was developed and internally validated by ROC and calibration plots.

Results

An ATG lncRNA risk signature was constructed with six differentially expressed lncRNAs (LINC00599, LINC02609, AC021739.2, AL118505.1, AL354892.2, and AL590666.2). Based on the risk signature, a nomogram was developed by addition of the significant prognostic clinical variables (age and grade) and molecular variables (IDH status and MGMT status).

Conclusions

We identified an ATG lncRNA risk signature and develop a nomogram for individualized survival prediction in LGG patients. A user-friendly free online calculator to facilitate the use of this nomogram among clinicians is also provided: https://linstu2009.shinyapps.io/LGGPRODICTORapp/?_ga=2.3154800.1506830296.1588641469-159983587.1588641469.
Survei Kepuasan Siswa Mengerjakan Tugas dengan Aplikasi Live Worksheet pada Pembelajaran Daring
Authors: Sele Arsenius
Published: January 2022

Penelitian ini bertujuan untuk mengetahui tingkat kepuasan siswa SMA Negeri 1 Nunukan Selatan mengerjakan tugas dengan Aplikasi Live Worksheet di masa pembelajaran daring. Dengan demikian, diharapkan guru dapat memilih aplikasi yang lebih memudahkan siswa dalam mengerjakan tugas. Metode yang digunakan adalah kuantitatif. Pengumpulan data menggunakan metode angket. Penyebaran angket ini dilakukan secara daring menggunakan aplikasi google form. Instrumen pengukuran tingkat kepuasan siswa terdiri dari 10 pernyataan; 3 pernyataan tentang partisipasi siswa mengerjakan tugas menggunakan aplikasi Live Worksheet serta hambatan pembelajaran daring, dan 7 pernyataan tentang tingkat kepuasan siswa menggunakan aplikasi Live Worksheet dalam mengerjakan tugas. Terdapat 55 siswa atau 71,43% siswa yang sudah pernah menggunakan aplikasi Live Worksheet sedangkan masih ada 22 siswa atau 28,57% siswa yang tidak pernah mengerjakan tugas menggunakan aplikasi Live Worksheet. Terdapat 94,55% siswa sudah pernah mengerjakan tugas dengan aplikasi Live Worksheet lebih dari 4 kali. Siswa mengalami hambatan-hambatan dalam pembelajaran daring, yaitu 66.23% siswa mengalami kesulitan memahami pelajaran, 49,35% siswa kurang konsentrasi dan 42,86% jaringan internet yang kurang memadai. Ada 77,37 % siswa sangat puas sehingga setuju agar aplikasi Live Worksheet terus digunakan untuk mengerjakan tugas dalam pembelajaran daring, sedangkan ada 22,63% siswa tidak puas sehingga tidak setuju aplikasi Live Worksheet terus digunakan untuk mengerjakan tugas dalam pembelajaran daring.
Grounded Theory with the Triple-C Model in an Effort to Minimize Academic Procrastinations in Learning Physics Based on Livezopadizdo
Authors: Dewi Hartini
Published: January 2022

Procrastination in learning physics by students who are seen from the point of view of their failure in working on, completing, and collecting answers to physics which is the background of this research. The first objective of this study is to reconstruct the pattern of learning difficulties in understanding the process of student behavior in order to minimize academic procrastination. Second, to find out the percentage of implementation of the Triple-C model in minimizing physics academic procrastination. Third, knowing the percentage of completeness in learning physics with the Triple-C model based on Livezopadizdo. The Triple-C model with the following phases Controversial Group, Exploring, Communication Deep Dialog, and Clarification Concept. The data analysis technique uses the Grounded Theory method. The conclusions obtained from this study are: first, the construction of patterns of learning difficulties in understanding the process of student behavior in order to minimize academic procrastination in the pandemic era with teaching and learning activities in online and offline conditions. Second, the average percentage of the implementation of the Triple-C model in minimizing physics academic procrastination is 92.2%. Third, the percentage of completeness in learning physics in the application of Livezopadizdo accompanied by the Triple-C cycle model is 100%.
Pemaknaan Motif Hias Sarung Tenun Sutera Mandar dalam Pembinaan Karakter Siswa
Authors: Amri Amri
Published: January 2022

Penelitian ini bertujuan untuk memahami dan menggali informasi pemaknaan motif hias sarung tenun sutera Mandar sebagai kearifan lokal di Polewali Mandar. Nilai-nilai pendidikan karakter apa yang terkandung pada ragam hias sarung tenun sutera Mandar.  Internalisasi makna ragam hias terhadap nilai-nilai pendidikan karakter bagi peserta didik di sekolah. Penelitian ini menggunakan metode penelitian deskriptif kualitatif melalui pendekatan antropologi. Pengumpulan data dilakukan melalui studi pustaka, wawancara dan observasi langsung. Objek penelitiannya adalah ragam hias sarung tenunan sutera mandar dan siswa SMA Negeri 1 Polewali. Hasil penelitian menunjukkan; 1. Ragam hias sarung tenun sutera Mandar sebagai kearifan budaya lokalnya berbentuk pola segi empat. Memiliki makna yang esensial dalam masyarakatnya meliputi berkaitan dengan simbol isi alam semesta dan nilai-nilai luhur sifat manusia yaitu kejujuran, keadilan berkata benar dan keteguhan pendirian. 2. Nilai-nilai pendidikan karakter yang ada pada ragam hias sarung tenun sutera Mandar sebagai nilai luhur sifat manusia dapat ditransfer dalam pembinaan karakter siswa diantaranya nilai religus, kejujuran, kemandirian, kerjakeras, kreatif, dan kerjasama. 3. Internalisasi pemaknaan ragam hias sarung tenun sutera Mandar terhadap nilai-nilai karakter bagi peserta didik dapat terwujud dengan perubahan sikap, perilaku, dan penampilan siswa dalam berinteraksi di sekolah.
Peningkatan Self Regulation Learning melalui Layanan Bimbingan Belajar Daring Model STAD Berbantuan Media Thinglink
Authors: Yulianti Malthelda
Published: January 2022

Penelitian ini bertujuan untuk meningkatkan self regulation learning peserta didik melalui layanan bimbingan belajar daring model Student Teams Achievement Divisions (STAD) berbantuan media thinglink. Subyek penelitian adalah peserta didik kelas XI MIPA-1 SMA Negeri 2 Yogyakarta tahun pelajaran 2020/2021. Jenis penelitian yang dilaksanakan merupakan Penelitian Tindakan Kelas Bimbingan Konseling (PTK BK) yang mengikuti model Stephen Kemmis dan Robin McTaggart, melalui tahapan perencanaan (planning), tindakan (acting), pengamatan (observing), dan refleksi (reflecting). Metode penelitian adalah observasi dengan menggunakan instrumen yang disusun peneliti dengan mengacu pada kajian teori yang digunakan. Teknik analisis data mengunakan teknik deskriptif kualitatif, yakni mendeskripsikan pelaksanaan layanan bimbingan belajar daring model STAD berbantuan media thinglink dari tahap perencanaan, pelaksanaan tindakan, observasi dan refleksi pada setiap siklus. Hasil penelitian menunjukan bahwa ada peningkatan kemampuan self regulation learning peserta didik, pada aspek metakognisi sebelum tindakan berada pada posisi 77.20%, setelah tindakan siklus II menjadi 89.90% meningkat sebesar 12.70%.  Pada aspek motivasi sebelum tindakan 76.70% setelah tindakan siklus II meningkat menjadi 87.40%, peningkatan pada aspek motivasi sebesar 10.70%. Selanjutnya pada aspek perilaku sebelum dilakukan tindakan sebesar 74% setelah tindakan siklus II menjadi 83.30%. Peningkatan indikator pada aspek perilaku meningkat 9.30%. Dari hasil penelitian tindakan kelas bimbingan konseling ini dapat disimpulkan bahwa layanan bimbingan belajar daring model STAD berbantuan media thinglink dapat meningkatkan self regulation learning peserta didik kelas XI MIPA-1 SMA Negeri 2 Yogyakarta.
A literature review: The comparison of the sedimentation and flotation technique for Fasciola hepatica detection in livestok
Authors: Munawaroh Alisa Qudrotun , Prasetyo Endry Nugroho , Koentjoro Maharani Pertiwi
Published: January 2022

Fascioliasis is an infection of the trematodes of Fasciola hepatica and Fasciola gigantica which causes disease worldwide. This trematode infection commonly attacks ruminants, especially in cattle, buffalo, sheep, goats, pigs and humans, as well. This disease can cause significant economic losses in the livestock industry, mainly through death, liver damage, reduced production of meat, milk and wool, and expenses for deworming. Parasitological examination for identification of fasciola infection was carried out by visually observing fecal samples for adult worms and then examined by simple flotation (using saturated NaCl solution) and formalin-ethyl acetate sedimentation techniques. Here, we were systematically reviewed existing knowledge about sensitive and efficient fasciola observation methods for the identification of fasciola species. Four databases of articles that met the inclusion requirements were compiled for the literature review. This article was published between 2015-2020 and reports on the identification of fasciola species using one or a combination of sedimentation and flotation methods. As a result, the combined method of sedimentation and flotation has the best sensitivity and egg recovery rate (Ef) values for fasciola identification.
 
Abstrak

Fascioliasis merupakan infeksi trematoda spesies Fasciola hepatica dan Fasciola gigantica yang menimbulkan penyakit di seluruh dunia. Infeksi trematoda ini umum menyerang ruminansia, terutama pada sapi, kerbau, domba, kambing, babi dan bisa terjadi pada manusia. Penyakit ini dapat menimbulkan kerugian ekonomi yang cukup besar dalam industri ternak, terutama melalui kematian, kerusakan hati, berkurangnya produksi daging, susu, dan wol, dan pengeluaran biaya untuk obat cacing. Pemeriksaan parasitologi untuk identifikasi infeksi fasciola dilakukan dengan mengamati sampel feses secara visual untuk cacing dewasa dan kemudian diperiksa dengan cara flotasi sederhana (menggunakan larutan NaCl jenuh) dan teknik sedimentasi formalin-etil asetat. Disini, kami meninjau secara sistematis pengetahuan yang ada tentang metode pengamatan fasciola yang sensitif dan efisien dalam identifikasi spesies fascioal. Empat data base artikel yang telah memenuhi syarat inklusi disusun untuk tinjauan literature review. Artikel ini terbit antara tahun 2015-2020 dan melaporkan identifikasi spesies fasciola menggunakan salah satu atau gabungan metode sedimentasi dan flotasi. Hasilnya, metode gabungan antara sedimentasi dan flotasi memiliki nilai sensitivitas dan nilai tingkat pemulihan telur (egg recovery rate, Ef) paling baik untuk identifikasi fasciola.
Algoritma Decision Tree Dan Smote Untuk Klasifikasi Serangan Jantung Miokarditis Yang Imbalance
Authors: Yudistira Novanto , Putra Aldi Fianda
Published: January 2022

Serangan jantung atau dalam medis bernama Myocardial Infarction atau infark miokard adalah gangguan jantung yang sangat serius. Dalam pendeteksian ini menggunakan komplikasi-komplikasi yang diderita oleh pasien. Algoritma yang akan dievaluasi yaitu Naive Bayes, Decision Tree, dan Support Vector Machine. Namun tidak serta merta dapat dilakukan evaluasi. Sebelum mengevaluasi ketiga algoritma ini dilakukan perbaikan dataset, karena pada dataset ini sendiri terdapat data yang kosong. Perbaikan dilakukan dengan cara mengimputasikan data dimana nilai diperkirakan berdasarkan rata-rata dari anggota klaster pada kelas yang sama. Setelah melakukan imputasi data, maka dapat dilakukan normalisasi dengan metode MinMax dengan tujuan agar rentang fitur terutama data numerik kontinu tidak terlalu besar. Setelah pemrosesan data awal dilakukan maka barulah kita dapat melakukan evaluasi dengan menggunakan metode K-fold Cross Validation. Namun lagi-lagi ditemukan kesalahan yakni data latih yang digunakan ternyata tidak seimbang. Oleh sebab itu dilakukan oversampling pada data agar data menjadi seimbang. Setelah seimbang maka kita dapat melakukan evaluasi kembali dan diperolehlah algoritma yang cocok untuk mengklasifikasikan data seperti dataset Myocardial Infarction Complications adalah algoritma Decision Tree dengan akurasi 98%, diikuti algoritma Support Vector Machine dengan akurasi 91% dan Naïve Bayes dengan akurasi paling rendah yakni 49%.
Karakteristik Organoleptik dari tempe modifikasi dengan kacang kedelai hitam (Glycine max (L) Merrit)
Authors: Rahmawan Alfi , Mumtaz Ihsan Jabran , Haiefinah Rera , Hasna Lulu Zakiyah , Pareira Elisabeth Michaela , Riyanto Rifqi Ahmad , Pamela Vega Yoesepa
Published: January 2022

Tempeh is a fermented food from soybean seeds using the fungus Rhizopus oligosporus. Tempeh is usually made from ordinary fermented soybeans. However, there are various types of beans besides ordinary soybeans, one of which is black soybeans. Food product innovation is closely related to consumer acceptance. Acceptance can be measured using organoleptic test. Organoleptic testing is an important component in the process of making food product innovations. In this study, tempeh was made with a mixture of soybeans and black soybeans in a ratio of 50:50. The resulting tempeh was then tested organoleptically including the parameters of color, texture, aroma, and overall and compared with commercial tempeh on 45 panelists. Based on this research, it is known that the overall parameters, namely color, texture, aroma, and overall in soybean tempeh and 50:50 black soybeans have lower acceptability than commercial tempeh so that further development of these products is needed so that consumer acceptance is higher increase.
Polip Septochoana Eosinofilik: Studi Kasus
Authors: Wijayanti Renny Swasti , Wardani Andriana Tjitria Widi , Fatmawati Dina
Published: January 2022

Polip nasi adalah peradangan kronis pada mukosa hidung dan sinus paranasal, yang ditandai dengan adanya prolaps lesi jinak mukosa serta infiltrasi sel – sel inflamasi. Polip nasi yang berasal dari aspek medial dari septum nasi sangat jarang terjadi. Tujuan penelitian ini adalah untuk menelaah lebih lanjut kasus polip septochoana eosinofilik yang jarang sekali dijumpai. studi kasus polip nasi. Dilaporkan satu kasus seorang wanita berusia 54 tahun, yang mengalami keluhan hidung tersumbat serta penurunan penghidu, setelah dilakukan pemeriksaan naso endoskopi dan CT – scan sinusparanasal didapatkan adanya massa  yang berasal dari aspek medial septum nasi bilateral yang meluas hingga choana. Diagnosis polip septochoana eosinofilik ditegakkan berdasarkan hasil pemeriksaan histopatologi setelah dilakukan tindakan eksisi massa. Pasien dilaporkan tidak mengalami kekambuhan setelah dilakukan evaluasi selama 6 bulan pasca operasi. Pada umumnya polip berasal dari dinding lateral rongga hidung, polip yang berasal dari aspek medial septum nasi, seperti pada kasus yang dilaporkan sangat jarang terjadi dan perlu ditelaah lebih lanjut
Görüngüsel Bilgi ve İmgelem Yeteneği
Authors: KIYMAZ Tufan
Published: January 2022

Bu makalede, görüngüsel bilginin (phenomenal knowledge), imgelem (imagination, hayal, zihinsel canlandırma) yeteneği ile ilişkisini soruşturuyorum. Öncelikle Frank Jackson’ın görüngüsel bilginin kendine haslığından hareketle fizikselciliğin (physicalism) yanlışlığını savunan bilgi argümanına dayanarak iki tür görüngüsel bilgi arasında ayrım yapıyorum. Bunları “doğrudan görüngüsel bilgi” ve “dolaylı görüngüsel bilgi” olarak adlandırıyorum. Makalenin geri kalanında önermesel olmayan doğrudan görüngüsel bilgiye odaklanarak onun da bağımsız ve bağımlı olmak üzere iki türü olduğunu iddia ediyor ve imgelem yeteneğine sahip olmanın yalnızca bağımsız görüngüsel bilgi için gerekli olduğu ve ne bağımsız ne de bağımlı görüngüsel bilgi için yeterli olduğu görüşünü savunuyorum.
EFFECTS OF MOBILE BANKING ON THE PERFORMANCE OF ISLAMIC MICROFINANCE INSTITUTIONS IN BANGLADESH
Authors: Morshed Mohammad Niaz , Ali Md Chapol
Published: January 2022

This study examines the effect of mobile banking on performance of Islamic Microfinance Institutions (IMFIs) in Bangladesh which includes their efficiency and internal operations, staff productivity, communication, breadth and depth of outreach, financial sustainability and portfolio quality. A questionnaire survey method was used for collecting the relevant data (n=200) from the selected sample representing the study population. The findings of this study reveals that Mobile Banking (MB) has a significant and positive effect on the performance of Islamic Microfinance Institutions (IMFIs) in Bangladesh, and it is perceived from the results that MB could significantly improve the performance of IMFIs by increasing the efficiency, staff productivity, communication, outreach and financial sustainability except portfolio quality.
EVALUATION OF DELONIX REGIA SEEDS AS A NATURAL COAGULANT IN THE TREATMENT OF LOW TURBID WATER
Authors: Olabanji Taiwo
Published: January 2022

This research aims at evaluating the effectiveness of Delonix regia as a natural coagulant in treating low turbid water. The active ingredient of the coagulant was extracted using Soxhlet Apparatus with Hexane as the solvent. The water sample was obtained from the famous Ala river in Akure, Ondo state. The water from this river is oftentimes used by the residents without treatment because it appears clean to them, this river had a turbidity of 18.4NTU which is above the standard (5NTU) required by the World Health Organization (WHO) for safe usage. After treating with different doses (0.03g/L to 0.4g/L) of the coagulant, an optimum value of 6.12NTU at an optimum dose of 0.03g/L and a turbidity reduction of was obtained 66.74%, alongside an improvement in other water parameters such as Conductivity, dissolved oxygen and total dissolved solids. This result proves the effectiveness of Delonix regia as a natural coagulant in treating low turbid water. However, treatment with Delonix regia is not sufficient to improve the quality of low turbid water to WHO acceptable limits for potable water.
IMPACT OF LAND USE AND LAND COVER CHANGES ON RUNOFF PREDICTION IN OGBESE RIVER WATERSHED
Authors: Obiora-Okeke Obinna
Published: January 2022

Land use and land cover (LULC) changes in Ogbese watershed due to urbanization implies increased areas of low infiltration. This results to higher flow rates downstream the watershed. This study estimates the changes in peak flow rates at the watershed’s outlet for present and future LULC. Rainfall-runoff simulation was achieved with Hydrologic Engineering Centre-Hydrologic Modeling System (HEC-HMS) version 4.2 while future LULC was projected with Markov Chain model. Rainfall inputs to the hydrologic model were obtained from intensity-duration-frequency curves for Ondo state. Landsat 7, Enhanced Thematic mapper plus (ETM+) image and Landsat 8 operational land imager (OLI) with path 190 and row 2 were used to generate LULC images for the years 2002, 2015 and 2019. Six LULC classes were extracted as follows: built up area, bare surface, vegetation, wetland, rock outcrop and waterbody.  Future LULC in year 2025 and 2029 were projected with Markov Chain model. The model prediction was verified with Nash Sutcliffe Efficiency index (NSE). NSE value of 0.79 was calculated indicating LULC changes in the watershed was Markovian. Results show that built up area cover in 2019 is projected to increase by 26.1% in 2024 and 39.9% in 2029 and wetland is projected to decreased by 1.2% in 2024 and 2.3% by 2029. Runoff peaks for these LULC projections indicate increase by 0.24% in 2024 and 1.19% in 2029 at the watershed’s outlets for 100-year return period rainfall.
Penyajian Laporan Keuangan Entitas Berorientasi Non Laba Berdasarkan ISAK 35 Pada Gereja HKBP Km 55
Authors: Sahala Purba  , Andro Siregar  , Melva Esnida Saragih
Published: January 2022

This journal discusses the presentation of financial statements on non-profit entities. Initially, non-profit entities presented financial statements based on PSAK 45 which was later changed to ISAK 35. One of the non-profit entities included in the church, the most important aspect of which was financial accountability. Good accountability is obtained from generally accepted accounting standards.The purpose of this journal is to find out the presentation of financial statements based on the implementation of ISAK 35 which began on January 1, 2020. The object of this paper is the presentation of the financial statements of the HKBP KM 55 Church. The data were collected through a series of interviews and observations. The financial statements that will be produced are statements of financial position, statements of comprehensive income, statements of cash flows and notes to financial statements.Keywords : ISAK 35, Non-Profit Entities,Financial Report
Evaluasi Pengangkutan Tandan Buah Segar Kelapa Sawit terhadap Buah Restan di PT. Dwiwira Lestari Jaya
Authors: Fara Nurfara rasyika
Published: January 2022

Pada industri pengolahan kelapa sawit, keterlambatan pengangkutan Tandan Buah Segar (TBS) perlu dihindari karena dapat mempengaruhi kualitas produksi akhir, kualitas produksi sangat bergantung pada kecepatan transportasi, optimalisasi transportasi yang tidak tepat dapat menyebabkan kegiatan di lapangan menjadi tidak lancar. Penelitian ini bertujuan untuk mengetahui kebutuhan dan realisasi ketersediaan unit angkutan TBS di lapangan dan untuk mengetahui faktor penyebab terjadinya restan buah. Penelitian dilakukan pada perkebunan kelapa sawit PT. Dwiwira Lestari Jaya (DLJ), divisi Charlie yang berlokasi di Desa Biatan Ilir, Kecamatan Biatan, Kabupaten Berau, Provinsi Kalimantan Timur. Penelitian ini dilakukan selama 1 bulan terhitung mulai tanggal 1 Oktober sampai dengan 31 Oktober 2020. Penelitian ini menggunakan metode dengan mengambil data primer berupa observasi lapangan dan dokumentasi, dan data sekunder berupa dokumen perusahaan dan studi pustaka. Analisis data yang penulis gunakan adalah analisis statistik deskriptif untuk menggambarkan atau mendeskripsikan data yang telah terkumpul. Hasil penelitian yang dilakukan pada PT. Dwiwira Lestari Jaya menunjukkan jumlah unit angkut TBS per divisi sesuai dengan perhitungan kebutuhan adalah 2 unit angkut TBS, serta beberapa hal yang mempengaruhi kinerja transportasi yaitu kondisi alat angkut, jumlah tenaga angkut. , kondisi pabrik kelapa sawit, kondisi jalan, dan curah hujan mempengaruhi kinerja transportasi yang menyebabkan buah restan.
Analisis Biaya Pengangkutan Tandan Buah Segar Kelapa Sawit di PT. Berau Karetindo Lestari, Kecamatan Segah, Kabupaten Berau, Provinsi Kalimantan Timur
Authors: Herdin Syahril
Published: January 2022

Penelitian ini dilatarbelakangi oleh keberhasilan pengelolaan pengangkutan Tandan Buah Segar (TBS), maka wajib untuk dapat memenuhi 4 sasaran pengangkutan TBS, yaitu yang pertama menjaga FFA (Free Fatty Acid) produksi perhari sebesar 2-3%. Kurang lancarnya transportasi menuju PKS berisiko menimbulkan buah restan. Efeknya bisa meningkatkan FFA sehingga kualitas CPO menurun. Kedua, menjaga kapasitas atau kelancaran pengelolaan Pabrik Kelapa Sawit (PKS). Waktu pengolahan TBS di PKS telah ditetapkan berdasarkan taksasi potong buah. Kurang lancarnya transportasi akan menyebabkan kapasitas pengolahan tidak terpenuhi dan menyebabkan waktu pengolahan bertambah. Ketiga, menjaga keamanan TBS di lapangan. TBS yang telah dipotong dan disimpan di tempat pengumpulan hasil (TPH) sangat rentan terhadap pencurian. Pengaturan transportasi harus memastikan bahwa buah yang dikirim ke PKS tepat waktu. Keempat, menekan biaya transportasi (rupiah per kilogram TBS) seminimal mungkin. Pengelolaan pengangkutan TBS harus mampu menghasilkan biaya yang kompetitif dan efisien. Oleh karena itu, penelitian ini bertujuan untuk mengetahui biaya pengangkutan kelapa sawit. Penelitian ini menggunakan metode kuantitatif, hasil penelitian ini dapat disimpulkan bahwa besarnya biaya yang dikeluarkan perusahaan untuk kegiatan pengangkutan selama setahun adalah sebesar Rp.715.122.800.
Kemampuan Pembentukan Kalus 8 Varietas Tebu (Saccharum offisinarum) Pada Media MS Modifikasi
Authors: Yunita Tika Rahma , Muhammad Rizal  , Muhammad Ali  , Achmad Dwi Isyana
Published: January 2022

Tebu merupakan salah satu komoditas ekspor Indonesia yang penting, sehingga banyak ditanam di Indonesia. Sehingga pengadaan bibit tebu perlu dilakukan. Penyediaan bibit dapat dilakukan melalui teknik kultur jaringan untuk mendapatkan bibit dalam jumlah besar dan bebas dari hama dan penyakit. Langkah awal untuk menghasilkan bibit tebu adalah dengan menginduksi kalus. Tujuan dari penelitian ini adalah untuk menginduksi kalus dari delapan varietas tebu yang digunakan, serta untuk mengetahui kemampuan pembentukan kalus dari delapan varietas tebu. Bahan yang digunakan adalah delapan varietas tebu 383, 316, R 236, TC 15, 09, X 4, X 8, dan X 157, dan media MS yang telah digunakan untuk pertumbuhan kalus. dilakukan pada persen terbentuknya kalus. Terdapat dua varietas yang dapat membentuk kalus yatu X 157,

 

Kata kunci : kalus, 8 varietas tebu, media MS
Influence of Post-Harvest Technology on Food Security in Narok East sub-County, Kenya
Authors: Asige Mmaitsi Lawrence , Omuse Obushe Dennis
Published: January 2022

Crop yields have decreased globally due to declining investments in research and infrastructure, which are preconditions for food security. The study established the Influence of Post-Harvest technology on Food Security in Narok East sub-County, Kenya, which is a rural sub-County in Narok County. A descriptive research design was adopted by the study. The target population is comprised of 25078 households distributed proportionally in the four wards and is involved in different farming activities. A sample of 378 household heads was determined using the sample size determination formula. Primary data was collected using a questionnaire and an interview guide. Data analysis was done using descriptive statistics of frequencies, percentages and inferential statistics of correlation, ANOVA and regression analysis. The results were presented using frequency and percentages, tables and charts. The relationship between the variables was tested at a significant level of 0.05. The results show that there is a strong, positive and significant correlation between post-harvest technology and food security in the sub-County (r = .606** and p-value = 0.000). This implies that the relationship between the variables is very significant hence post-harvest technology is a strong determinant of food security in the study area. The study concludes that ANOVA model indicated a very significant and statistical relationship between post-harvest technology and food security. The study is beneficial to all the stakeholders in rural areas in Kenya who have consistently experienced food insecurity as it will provide appropriate data that will be used for policymaking.
Development and Validation of Perceived Stigmatization in Sports Scale for Female Athletes
Authors: Saleem Sahar , Solomon Dr Vicar , Malik Dr Farah
Published: January 2022

The current study aimed to develop an indigenous, valid and reliable perceived stigmatization in sports scale for female athletes (PSSSFA). Eight in-depth, detailed and semi-structured interviews were conducted with female athletes, whereas, the preliminary item pool of twenty items was administered on 125 female university athletes. The age was 18-24 years (M= 21, SD=1.6). The process of scale development depended upon two phases. The first phase was about construct conceptualization through interviews and the second phase consisted of examining factor structure and reliability of the scale. Perceived Stigmatization in Sports Scale for Female Athletes was developed in Urdu. Total 20 items were developed but the final scale included 18 items with five-point rating scale. On the basis of scree plot and Eigen values, three factors were extracted: Family Stigmatization included 6 items and had .82 reliability, Social Stigmatization included 5 items and had .75 reliability and Effect on Performance included 7 items and had .76 reliability. The overall Cronbach alpha value was .88. The findings of the study tended to investigate factors affecting the perceived stigmatization associated with female athletes and these results would help in providing awareness regarding challenges being faced by female athletes in their respective sports.