bluuebunny/crossref_metadata_2025 huggingface dataset:
Implementasi Penerapan Metode C4.5 dan Naïve Bayes Dalam Tingkat Kelulusan Akreditasi Lembaga PAUD Pada Badan Akreditasi Nasional
Authors: Genisa Lenggo , Mulyana Dadang Iskandar
Published: May 2022

Education from an early age is one way to stimulate children's potential. This is explained in the Law of the Republic of Indonesia Number 20 of 2003 concerning the National Education System which states that Early Childhood Education (PAUD) is a coaching effort aimed at children from birth to the age of six which is carried out through the provision of educational stimuli to help growth and physical and spiritual development so that children have readiness to enter further education. The National Accreditation Board for Early Childhood Education and Non-Formal Education, hereinafter referred to as BAN PAUD and PNF, is an independent evaluation body that determines the feasibility of PAUD and PNF programs and/or units. BAN PAUD and PNF were formed based on Permendikbud Number 52 of 2015 concerning the National Accreditation Board for Early Childhood Education and Non-Formal Education which is a substitute for Permendikbud 59 of 2012. Improving the quality of the implementation of PAUD and PNF Accreditation can be done by increasing the availability of non-formal education accreditation services. Other things that can be done to improve the quality of the implementation of PAUD accreditation are by providing certainty and guarantee of obtaining non-formal education accreditation services and improving a reliable governance system in ensuring the implementation of non-formal education accreditation services. This study uses data mining techniques in predicting the accreditation status of PAUD education units. First, preprocessing is used to get a quality dataset. Second, the data is processed to get a series of predictions. In this step, two data mining algorithms are applied, namely the Naïve Bayes Algorithm and the C4.5 Algorithm with the aim of knowing the performance of the two algorithms with a greater level of accuracy will be recommended in solving the problem of predicting the accreditation of PAUD education units in BAN PAUD and PNF DKI Jakarta Province. Then the third, the results will be in the Conffusion Matrix to validate the accuracy of the prediction results. And the results of the assessment show that the C4.5 and Naïve Bayes Algorithm methods can be used to predict the accreditation status of PAUD education units with an accuracy of 99.00%
Sistem Pendukung Keputusan Penilaian Kinerja Mahasiswa KIP Kuliah dengan Penerapan Metode TOPSIS dan PROMETHEE
Authors: Putri Noni Apriliani Yulia , Subagio Ridho Taufiq , Asfi Marsani
Published: May 2022

CIC University is one of the Private Universities (PTS) in the Computer Sector which is located in the city of Cirebon. CIC University's consistency in the field of IT (Information Technology) so that college students in it can apply IT knowledge to campus facilities. One of the systems currently not owned by CIC University is a decision support system for assessing the performance of college students receiving KIP Kuliah. Assessment of college student performance, especially for scholarship recipients at a university, is a very important form of activity to evaluate performance in improving the quality of performance of scholarship recipients, as a form of measurable responsibility as scholarship recipients both academically and non-academicly and as a form of assessing whether students is still eligible to be awarded a scholarship in the next semester or year. This study discusses the performance assessment of KIP Lecturer recipients using UML (Unified Modeling Language) as a tool in analysis and design, the PHP Hypertext Preprocessor programming language with the CodeIgniter framework, and MySQL as data storage media. Performance appraisal is calculated by a combination of the TOPSIS method and the PROMETHEE method. TOPSIS method is used to calculate the weight of each criterion, while the PROMETHEE method is used to analyze alternative ranking calculations. Testing this application is done by the Black Box method. The result of this research is the Application of Performance Assessment of College Students receiving KIP Kuliah at Catur Insan Cendekia University which aims to assist the Student Affairs Bureau in assessing the performance of college students receiving KIP Kuliah quickly
Eksperimen Penerapan Sistem Traffic Counting dengan Algoritma YOLO (You Only Look Once) V.4.
Authors: Pratama Yovi , Rasywir Errissya
Published: May 2022

Traffic counting is the activity of counting traffic (vehicles) that pass on the road in a certain period. The purpose of traffic counting is to collect traffic data, determine traffic characteristics, determine vehicle composition and measure traffic performance. With the YOLO V.4 algorithm, changes in the position, size and volume of the detected object can be carried out in several tests. Although not all the results of using this algorithm are perfect on all data, the results tend to be good. This is related to the services provided in the form of a convolutional layer on YOLO reducing downsample or reducing image dimensions by using anchor boxes, this algorithm can also increase accuracy. The YOLO V.4 algorithm utilizes an image feature scanning model using the concepts of angles and directions mathematically. From the results of experiments carried out in this study, obtained detection results that have a fairly good accuracy in the results of separating frames from video data. Irregular transformations of position, dimension, composition and direction can still be captured as the same feature. YOLO's ability in feature engineering is an acknowledgment that has been successfully proven in this research.
Pengembangan Infrastruktur Jaringan Untuk Meningkatkan Pelayanan Publik di Kota Palembang
Authors: Antoni Darius , Herdiansyah Muhammad Izman , Akbar Muhamad , Sumitro Agus
Published: May 2022

Technological advances will always develop following the progress of science. Internet technology has a great influence in every aspect, especially in the implementation of the service function of the Government to every citizen in need. The Publik Service Sector deals with communities in need with the government as a service-providing institution. The government is required to be able to keep up with the development of technology in service to the community more effectively, efficiently, quickly and accurately. With the internet network technology can be used to build an electronic-based government service system or E-Government. The use of information technology can change the pattern of publik services in reducing corruption, financial transparency, convenience of services and increasing revenue in each region. However, each region with its own geographical conditions of course there are still people in the lower middle class or the poor who have not been able to access publik services of their government, So in this thesis, researchers are interested in developing network infrastructure design so that people in villages or villages, especially RT who have minimal access, can enjoy publik services in Palembang City
Visualisasi Data Program Vaksinasi Covid-19 di Kota Depok dengan Big Data Analytics
Authors: Nalawati Rizki Elisa , Liliana Dewi Yanti
Published: May 2022

Indonesia and various country in the world are facing the problem of the Covid-19 pandemic. In Indonesia, the suspect Covid-19 was found in March 2020 in Depok City, West Java. Until February 2021, the number of positive COVID patients was 1,527,524. The need for supervision of the administration of vaccines is carried out by the Depok City Health Office on a number of health facilities that are trusted to administer vaccines to the public. This supervision is carried out using surveillance through visualization of vaccine administration data from the community. So far, the number of vaccines given to all health facilities in Depok City from January to August is around 613276 times which includes the administration of dose 1, dose 2 and dose 3. The amount of existing data can be managed and visualized properly using big data analytics. To get a good shape and visualization in decision making, several data cleansing processes are carried out up to the visualization stage. The use of big data analytics can be used to visualize descriptive data that is able to describe the rhythm of vaccination in Depok City, categorization of vaccine recipients, the type of vaccine given to the number of doses given. So it can be estimated that every month, vaccine recipients will continue to increase, both receiving dose 1, dose 2 and dose 3. This is in line with the Depok government's target which will complete the provision of vaccines to the people of Depok by the end of 2021
Perancangan Aplikasi Fuzzy Logic Untuk Prediksi Kasus Positif Covid-19 Menggunakan Metode Tsukamoto
Authors: Nasution Vani Maharani , Prakarsa Graha
Published: May 2022

COVID-19 is a virus that attacks the respiratory system which was first discovered in the Chinese city of Wuhan. This virus spreads very quickly and spreads throughout the world, including Indonesia. West Java is the province with the most positive cases of COVID-19, on May 4, 2020, 193 positive cases were added, and on 28 June 2020 there were 1,396 confirmed cases with an additional 18 patients. The unpredictable increase in positive cases of COVID-19 has led to the unpreparedness of officers in handling this outbreak. The West Java Provincial Health Office acknowledged the lack of Covid-19 handling facilities in 52 regional general hospitals in West Java Province to monitor positive COVID-19 patients, one of which was the lack of isolation rooms. In addition, the quality of the isolation room and personal protective equipment does not meet the standards. Predicting an increase or decrease in cases of positive COVID-19 patients needs to be done, so that there is readiness from the task force team for COVID-19 to deal with the problem of lack of facilities including isolation rooms and personal protective equipment. Fuzzy logic is one of the derivatives of artificial intelligence that is able to predict something. The research was conducted using the fuzzy logic of the Tsukamoto method through several stages including fuzzification, formation of rules, inference, and defuzzification. The results showed an error rate of 4.5% which indicated that predicting covid-19 using the fuzzy logic of the Tsukamoto method showed a high success rate
Klasifikasi Data Malaria Menggunakan Metode Support Vector Machine
Authors: Ramadhan Nur Ghaniaviyanto , Khoirunnisa Azka
Published: May 2022

Malaria is a life-threatening disease, caused by a parasite that is transmitted to humans through the bite of an infected female Anopheles mosquito. In 2019, there were an estimated 229 million cases of malaria worldwide and the death toll reached 409,000. The area most frequently affected by malaria, according to WHO, is the African region. Malaria can be detected beforehand by using the information inpatient data and applying machine learning techniques. This study aims to detect and classify severe malaria based on the history of examining patient data using the Support Vector Machine (SVM) method with a normalization technique using min-max on the dataset and a cross-validation technique with several experiments on the K value of the results. This study also compares the Support Vector Machine method with Naïve Bayes (NB) where the accuracy of the SVM model is superior to Nave Bayes with an average accuracy gap of 25%. The accuracy generated by the application of the proposed method is 92.3%.
Penerapan Data Mining Dalam Pemilihan Produk Unggulan dengan Metode Algoritma K-Means Dan K-Medoids
Authors: Gustrianda Reza , Mulyana Dadang Iskandar
Published: May 2022

As a business company, PT. XYZ Indonesia is committed to always make improvements to all aspects such as, in terms of determining superior products. To be able to do this, it requires a sufficient source of information to be able to analyze what products are superior or in high demand and what products are less desirable. To find out what products enter the superior product cluster, then researchers do product grouping using the clustering method. In the clustering method there are two types of cluster analysis that have interrelated algorithms, namely k-means and k-medoids. The result of research already conducted that from the value of Davies Bouldin to the k-means algorithm is -0.430 and from the value of Davies Bouldin k-medoids is -1,392 which means that the Davies Bouldin value for the k-medoids method has the smallest Davies Bouldin value so the grouping results using the k-means method are more appropriately used on the issue of superior product selection.
Kombinasi Metode VIKOR dan Rank Order Centroid Dalam Pemilihan E-Marketplace
Authors: Lubis Ahmadi Irmansyah , Erdiansyah Umri , Ramadhan Mukhlis
Published: May 2022

In a situation that is still being hit by the COVID19 Pandemic until now, it has an impact on the way people meet the needs of life, both primary and secondary needs. In one case, the pandemic also affected the shopping patterns of people who required them to shop online in order to reduce activities outside the home. So in this study the authors conducted research on the topic of Decision Support Systems in the selection of E-Marketplace. In this case, the author applies the VIKOR and Rank Order Centroid methods in assessing several sites or applications that are generally used by the public in online shopping activities. The alternatives used are Shopee, Lazada, Tokopedia, Bukalapak and Facebook Marketplace. For the criteria used, namely by using an assessment based on the User Interface, Product Completeness, Service Response, Transaction Process, and Delivery Service. The test results obtained are based on the calculation of the VIKOR method and the Rank Order Centroid against the alternatives and criteria used, Shoopee as the best alternative by obtaining a VIKOR index value of 1. Thus, it can be seen that the VIKOR method and Rank Order Centroid has been successfully applied to the recommendation system for marketplace selection.
Klasifikasi Penyakit Diabetes Pada Imbalanced Class Dataset Menggunakan Algoritme Stacking
Authors: Pristyanto Yoga , Sidauruk Acihmah , Nurmasani Atik
Published: May 2022

Diabetes is a disease that has the potential to cause death. Based on a report from the IDF (International Diabetes Federation), it was stated that in 2019 there were 463 million people in the world suffering from this disease. According to the Ministry of Health, Indonesia is a country that is included in the top 10 highest in the world by the number of people with diabetes. Machine learning models can be a solution for the early detection of diabetes based on history and available data. The majority of the research that has been done chiefly uses a single classifier. The single classifier model has a weakness when faced with class imbalance conditions in the dataset. Therefore, this study uses the Stacking Model for the classification and prediction process on the diabetes dataset. The goal is to improve the performance of a single classifier. In addition, the Stacking Model is expected to be one of the solutions for the classification of diabetes in the imbalanced class dataset. Based on two test experiments that have been carried out using two different datasets. The Stacking algorithm can produce an accuracy value of 89%, TPR value of 89%, TNR value of 85%, and G-Mean of 86.98% in the first dataset and can produce an accuracy value of 96%, TPR value of 96%, TNR value of 94%, and G-Mean of 94.99% in the second dataset. These results are better than single classifiers such as C4.5, K-NN, and SVM of the four indicators evaluated in both diabetes datasets. Thus, the proposed algorithm, namely Stacking (C4.5-SVM), can be a solution for classifying diabetes datasets with unbalanced class distribution conditions.
Penerapan Metode System Usability Scale dalam Pengujian Rancangan Mobile Apps Gamification Tari Rakyat di Indonesia
Authors: Bahtiar Arief Rais , Gustalika Muhamad Azrino
Published: May 2022

Indonesia has many dances in each region. Traditional dance and folk dance are dances that existed in Indonesia before the development of contemporary dance. As one of the local cultures in each area, dance art is included in local content at the elementary to high school level. The changing curriculum has disrupted local cultural education in the world of education some time ago. In addition to these factors, the lack of interactive learning media at least affects. The purpose of this study is to develop a learning pattern for folk dance as a local culture in Indonesia through an interactive mobile application. In addition, this research is used to help preserve and introduce the folk dance arts of each region to students in Indonesia. Gamification can be an alternative for developing folk dance learning. What usually happens is the lack of innovation in conventional learning media to attract students' interest in studying local culture, especially folk dance as a local content subject. This activity is a folk dance education about history, regional origins and dance movements. The result of this application is a folk dance game in Indonesia. There are several levels that must be passed to be able to complete this game. Each season will be taken 3 people who get the reward. The rewards that we design are based on the prizes preferred by elementary, junior high and high school students. Based on the results of the System Usability Scale evaluation, the prototype designed got a score of 86.25% and was considered to have met the usability element.
Penerapan Metode Agile Scrum Pada Rancangan SisIAM4
Authors: Nadhira Faza , Wahyuddin Moh. Iwan , Sari Ratih Titi Komala
Published: May 2022

Development of web based information systems is grown very rapidly, one of which can help the process of processing information and data, to improve performance in various fields, including in the academic. This research aims to design a web-based academic information system in schools to make it easier for Muhammadiyah 4 High School to manage student values, as well as improve students in seeing grades and schedules online. In making this website using the Hypertext Preprocessor (PHP) programming language, MySQL as a database and CodeIgniter framework, and Visual Studio Code as a medium for writing coding. The method used in making this application is Agile software development with a Scrum model and application testing using the White box testing method. With the creation of this information system is expected to help schools in managing academic data.
Penerapan Konsep Sistem Pendukung Keputusan terhadap Kepemimpinan dan Komunikasi v 1.0 pada Media Sosial
Authors: Wibowo Sasna Khairunnisa , Suharnomo Suharnomo
Published: May 2022

Social media changes our entire lives, from the mindset, behavior, and way of communicating, these changes sometimes generate friction that produces positive or negative effects, depending on how we say and respond. Leadership begins with how to communicate with others, but the most important thing to know are the types of leadership that are the foundation in building effective and efficient communication. In social media, leaders and communication are among the most important factors that solutions must be solved, problems such as: communication tends to be ineffective and effective because it only focuses on the person's personality and does not focus on the positive things he or she has done; how the solution is given, we almost never find it, that there is and even too many sentences that corner others, dislikes and negative comments that have absolutely no quality to be able to contribute positively to the community and many hoaxes are brought up many of the leadership processes become disrupted. From this problem, we create a leadership intelligence (LI) framework, which is one solution to overcome leadership and communication problems. Implementation of LI is a challenge in our culture, because our culture will affect the quality of communication, and communication is influenced by attitudes, and attitudes influenced by education in the family.
Pembelajaran Daring Dalam Meningkatkan Keaktifan Siswa PAI
Authors: Zulkifli Zulkifli , Tis'ah J. Anhar Rabi Hamsah , Damayanti Sri , Nasrulloh Nasrulloh , Bustomi Muhammad
Published: May 2022

Pendidikan sangat penting dalam kehidupan dan tidak dapat dipisahkan dalam kehidupan manusia itu sendiri, karena tanpa pendidikan manusia tidak dapat tumbuh dan berkembang secara baik. Oleh sebab itu pendidikanlah yang akan mengantarkan manusia pada derajat  yang tinggi, yaitu orang-orang yang berilmu. Pemerintah melalui kemendikbud mengeluarkan surat edaran no. 4 tahun 2020 yang isinya adalah untuk melaksanakan pembelajaran secara daring, tentunya hal ini bertujuan untuk menghentikan penyebaran virus covid-19 akibat dari kerumunan yang ditimbulkan dari proses belajar mengajar disekolah. Namun pembelajaran daring masih tergolong baru dalam lembaga pendidikan di Indonesa, masih banyak guru, maupun siswa yang belum mengetahui tentang bagaimana melaksanakan pembelajaran secara daring. Akibatnya terjadi perubahan terhadap keaktifan siswa dalam peroses pembelajaran kususnya dalam mata pelajaran PAI. Penelitian ini bertujuan untuk 1) mengetahui pelaksanaan pembelajaran daring dalam keaktifan siswa mata pelajaran PAI kelas XI di SMAN 11 Kab. Tangerang Tangerang, 2) mengetahui upaya Peningkatan Pembelajaran Daring Dalam Meningkatkan Keaktifan Siswa Mata Pelajaran PAI Kelas XI di SMAN 11 Kab. Tangerang, Adapun metode yang dipakai pada penelitian ini adalah kualitatif deskriptif. Hasil penelitian ini menunjukan bahwa 1) Terjadi penurunan keaktifan siswa dalam pembelajaran daring yang diakibatkan berbagai kendala seperti, gangguan jarring internet, metode belajar yang monoton, beban biaya paket kuota, Kurangnya pengetahuan tentang teknologi informasi dan pengoprasian aplikasi serta kurangnya komunikasi sosial guru dan siswa. 2) Adapun upaya peningkata pembelajaran dalam meningkatkan keaktifan siswa terdiri dari berberapa faktor yaitu melakukan pelatihan guru, metode belajar yang inovatif serta Pelayanan jaringan internet dan subsidi kuota yang maksimal
The Efforts of Islamic Religious Education Teachers and Characteristics in Improving Students' Learning Interest
Authors: Suyudi Muhammad
Published: May 2022

This research was motivated by the low interest in student learning in Islamic Religious Education and Character, especially at SDN Mundu 1. This study used a qualitative field method. Data collection techniques used are observation, interviews, and documentation. Meanwhile, the data analysis technique used an interpretive descriptive approach. The results of this study are (1) The teacher's efforts include: The teacher always pays attention to students who have less interest in learning, provides measurable homework, the Teacher must always provide motivation to students and use more varied learning methods; (2) Supporting factors include: adequate school facilities and infrastructure, applying the PAIKEM learning method, a safe and comfortable school environment; (3) Inhibiting factors include: students feeling lazy to learn, lack of teacher and lack of support from students' parents; (4) The solution is to add school facilities such as labs and libraries, provide motivation to students, increase the number of teachers, and provide homework.
La belleza orofacial inteligente: una reflexión epistémica desde el cliente odontológico venezolano
Authors: Herrera Angela , Soto Aguirre Neirys
Published: May 2022

Se reflexiona sobre la reconfiguración del cliente odontológico con base en la belleza orofacial inteligente, en el equilibrio armónico y simétrico de la sonrisa y el rostro. La investigación se basa en el contexto local de Venezuela con una metodología de carácter descriptivo por medio de un estudio exploratorio en 2020, donde se empleó muestreo por conglomerados. Con un total de 196 muestras, se calcula el coeficiente de Kuder y Richardson, el cual arroja que todos los instrumentos aseguran confiabilidad. Como conclusión se plantea que la odontología va más allá del tratamiento de los dientes, puesto que los resultados indican que es necesaria la educación del cliente en cuanto a las bondades que aporta la belleza orofacial inteligente soportada en la armonización orofacial.
THE RELATIONSHIP BETWEEN CONVENIENCE MOTIVATION, ATTITUDE, AND BEHAVIORAL INTENTION OF FOOD DELIVERY APPLICATIONS’ USERS
Authors:   Bina Nusantara University, Hotel Management Department, Faculty of Digital Communication and Hotel & Tourism, Jakarta, Indonesia, WIASTUTI Rachel Dyah , PRAWIRA Oqke ,   Universitas Multimedia Nusantara, Hotel Department, Faculty of Business, Tangerang, Indonesia, LUSYANA Lusyana ,   Bina Nusantara University, Hotel Management Department, Faculty of Digital Communication and Hotel & Tourism, Jakarta, Indonesia, LESTARI Nurul Sukma ,   Bina Nusantara University, Hotel Management Department, Faculty of Digital Communication and Hotel & Tourism, Jakarta, Indonesia, MASATIP Anwari ,   Politeknik Pariwisata Medan, Hotel Department, Medan, Indonesia, NGATEMIN Ngatemin ,   Politeknik Pariwisata Medan, Hotel Department, Medan, Indonesia
Published: May 2022

This study aims to analyze the impact of convenience motivation on behavioral intention of food delivery apps’ users with the mediating role of attitude. The research object is three major Food Delivery Apps (FDA) in Indonesia namely GoFood, GrabFood, and ShopeeFood. Primary data was collected through online questionnaire to 195 samples of FDA users. Data was then analyzed with path analysis with three hypothesis. Findings show that user first assess the ease of use in operating FDA above anything else, in which driving in adopting FDA, as well as emerging the intention to purchase food through FDA. However, attitude was found mediate the relationship between convenience motivation and user’s behavioral intention. The impact of convenience motivation on behavioral intention of FDA users is mediated by attitude. It means that users’ intention to order food through FDA at first emerges because there is a positive attitude, where that attitude is formed when users feel that using FDA is easy. FDA are expected to prioritize ease of use from the application from its design, writing style, symbol, map, and process sequences. Small food enterprises might consider placing their products in existing FDA as consumer prefer to order from the application that familiar with.
THE ROLE OF KNOWLEDGE STRUCTURES IN RECONFIGURING RURAL TOURISM IN RESPONSE TO THE COVID-19 PANDEMIC: AN EXPLORATORY STUDY OF RURAL TOURISM IN ITALY AND KAZAKHSTAN
Authors:   University of Bologna, Department of Statistical Science « P. Fortunati », Bologna, Italy, GRANDI Silvia , MACDONALD Sandy ,   University of Northampton, Faculty of Business and Law, Northampton, UK, TANKIBAYEVA Aliya ,   Al-Farabi Kazakh National University, Department of Recreational Geography and Tourism, Almaty, Kazakhstan
Published: May 2022

The aim of this paper is to analyze changes in the notion and role of rural tourism provoked by the COVID-19 pandemic. The paper examines how rural tourism in the pandemic year 2020 has accommodated human needs for well-being: which touristic resources have been mobilized and what knowledge structures have contributed to mobilization of touristic resources. The authors use a qualitative multimethod approach to develop insights about the impact of the COVID-19 pandemic on changing roles played by rural tourism in Italy and Kazakhstan. The theoretical novelty of the research is that it conceptualizes tourism resource mobilization strategies as a result of the historical and emerging knowledge structures. It was found that while both geographical and ethno-cultural resources form the basis for rural tourism development, knowledge structures play a critical role in setting both the interpretative and institutional frames defining rural tourism forms and directions of development.
Валидация специфичности методик определения примесей: ключевые моменты и практические рекомендации
Authors: Эпштейн Наум Аронович
Published: May 2022

При валидации аналитических методик одной из главных задач является надежная валидация их специфичности. Опыт показал, что в случае хроматографических методик определения органических примесей к этой задаче нередко относятся формально – не в полной мере доказывают специфичность методики. В статье рассмотрены ключевые моменты для надежной оценки специфичности методик определения примесей. Даны практические рекомендации и численные значения для принятия решений. Для тестирования специфичности методики надо проводить стрессовые исследования таким образом, чтобы разложение активного фармацевтического ингредиента (АФИ) при стрессе — уменьшение содержания основного вещества, было больше, чем 0,5 %. Это необходимо, как минимум, чтобы заметить рост имеющихся в АФИ примесей и образование новых примесей. С другой стороны, при стрессе окисления и фотодеградации разложение АФИ не должно превышать 2 %, а при других стрессах — 5 % (для минимизации вторичных реакций). Обосновано условие для допустимого перекрывания пиков примесей при валидации специфичности методик: при перекрывании пиков примесей отношение peak-to-valley (p/v) должно быть ≥ 1,5. Обычно этого достаточно для обеспечения воспроизводимости площадей перекрывающихся пиков. Если перекрывающиеся пики близкие по высоте, то отношение p/v может быть меньше 1,5 при условии, что относительное стандартное отклонение площади перекрывающегося пика не превышает 6 % при последовательных инжекциях (RSD ≤ 6 %). Это условие соответствует отношению сигнал/шум базовой линии S/N = 10, т.е. пределу количественного определения. Рассмотрены вопросы, связанные с валидацией специфичности методик определения примесей для комбинированных препаратов.
The potential antioxidant activity of ethanol extract and fraction of ciplukan (Physalis angulata) on DPPH (1,1-diphenyl-2-picrylhydrazyl)
Authors: Alam Tunas , Ekayanti Meiliza , Permana Nada , Hadissabil Zulfikar
Published: May 2022

Antioksidan eksogen pada tanaman diketahui memiliki efek samping yang kecil, murah dan digunakan dalam mencegah penyakit. Dengan berkembangnya penggunaan tanaman dan sayuran sebagai sumber antioksidan alami, banyak peneliti tertarik untuk menginvestigasi dan mempelajari hal ini. Dalam penelitian ini, ekstrak etanol dan fraksi tanaman ciplukan (Physalis angulata) dilakukan investigasi dan evaluasi potensi aktivitas antioksidannya.    Fokus dari penelitian ini adalah menetapkan kadar dan mengevaluasi aktivitas antioksidan dari ekstrak etanol dan fraksi ciplukan.

Akar, batang, dan daun ciplukan diekstraksi dengan menggunakan metode maserasi kemudian dipartisi dengan fraksi polar (air), non polar (n-heksana), dan semipolar (etil asetat).    Hasil ekstraksi kemudian dianalisis kadar flavonoid total dengan menggunakan kuersetin sebagai standar dan aktivitas antioksidan pada DPPH. Hubungan antara kadar total flavonoid dan aktivitas antioksidan ditentukan dengan metode regresi linier.

Ekstrak etanol daun ciplukan memiliki nilai total flavonoid tertinggi yaitu 38.04 ± 0.8 mg/g kemudian diikuti oleh ekstrak akar (9 ± 0.2 mg/g), dan ekstrak batang (7.1 ± 0.1  mg/g). Fraksi etil asetat dari ekstrak etanol daun ciplukan memiliki aktivitas antioksidan yang tinggi yaitu 32.10 ± 0.2 µg/ml yang dihitung sebagai IC50 kemudian diikuti oleh  fraksi air (38.20 ± 0.8 µg/ml), dan fraksi heksana (38.20 ± 0.8 µg/ml) . Hasil analisis regresi linier menunjukkan aktivitas antioksidan berkorelasi dengan nilai total flavonoid dan disimpulkan bahwa flavonoid merupakan komponen antioksidan utama pada tanaman ciplukan.
María Fernanda Crespo y Guillermo Antonio Nájera Nájera (Coordinadores) 2020. Lecturas desde las Cartas Anuas.
Authors: Jiménez Gómez Ismael
Published: May 2022

Como resultado de un simposio celebrado en la ciudad de Salamanca en el año 2018, el libro Lecturas desde las Cartas Anuas... reúne nueve artículos sugerentes que reflexionan sobre el uso y el trabajo metodológico de la denominada litterae annuae para aportar nuevas visiones que aborden la historia de la Compañía en el período moderno. A partir de distintos estudios de caso, se abordan diversas regiones americanas en donde los jesuitas mantuvieron una presencia relevante: los virreinatos de Nueva España y Perú, la provincia de Paraguay, la región del Alto Amazonas y el noroeste argentino.
Determinants of Peak Oxygen Uptake at Each Stage of Renal Dysfunction in Patients with Heart Disease
Authors: Ogura Asami , Izawa Kazuhiro P. , Sato Shinji , Tawa Hideto , Kureha Fumie , Wada Masaaki , Kanai Masashi , Kubo Ikko , Yoshikawa Ryohei , Matsuda Yuichi
Published: May 2022

Background: Identifying the causes of low peak oxygen uptake (peak V̇O2) in heart disease patients with renal dysfunction is necessary for prognostic improvement strategies. The purpose of this study was to verify the determinants of peak V̇O2 for each stage of renal function in heart disease patients, focusing on end-tidal oxygen partial pressure (PETO2). Methods: Two hundred fifty heart disease patients who underwent cardiopulmonary exercise testing (CPET) in our institution were consecutively enrolled. Patients were divided into three groups by their estimated glomerular filtration rate (eGFR): <45, 45–59 and ≥60 mL/min/1.73 m2. Patient characteristics and CPET parameters including ΔPETO2 (rest—anaerobic threshold) were compared between the groups. The relationship between ΔPETO2 and peak V̇O2 was also investigated for each group. Results: In total, 201 patients were analyzed. ΔPETO2 decreased with the deterioration of renal function (eGFR <45, 0.1 mmHg vs. eGFR 45–59, 2.4 mmHg vs. eGFR ≥60, 5.2 mmHg, p < 0.001). In the eGFR <45 group, left ventricular ejection fraction (LVEF) and hemoglobin (Hb) were significantly associated with peak V̇O2β = 0.518, p < 0.001 and β = 0.567, p < 0.001, respectively), whereas ΔPETO2 was not. In the eGFR 45–59 group, age, Hb, and ΔPETO2 showed a significant association with peak V̇O2 (β = –0.354, p = 0.006; β = 0.258, p = 0.007; β = 0.501, p < 0.001; respectively). In the univariate analysis, eGFR 45–59 group showed the highest coefficient of determination of ΔPETO2 to peak V̇O2 (R2 = 0.247, p < 0.001). Conclusions: The determinants of peak V̇O2 in heart disease patients depended on the stage of renal function. The determinants of peak V̇O2 in patients with eGFR <45 were LVEF and Hb, while ΔPETO2 was the strongest predictor of peak V̇O2 in patients with eGFR 45–59.
Venoarterial Extracorporeal Membrane Oxygenation in High-Risk Pulmonary Embolism: A Case Series and Literature Review
Authors: Ltaief Zied , Lupieri Ermes , Bonnemain Jean , Ben-Hamouda Nawfel , Rancati Valentina , Schmidt Kobbe Sabine , Kirsch Matthias , Chiche Jean-Daniel , Liaudet Lucas
Published: May 2022

Background: High-risk Pulmonary Embolism (PE) has an ominous prognosis and requires emergent reperfusion therapy, primarily systemic thrombolysis (ST). In deteriorating patients or with contraindications to ST, Veno-Arterial Extracorporeal Membrane Oxygenation (VA-ECMO) may be life-saving, as supported by several retrospective studies. However, due to the heterogeneous clinical presentation (refractory shock, resuscitated cardiac arrest (CA) or refractory CA), the real impact of VA-ECMO in high-risk PE remains to be fully determined. In this study, we present our centre experience with VA-ECMO for high-risk PE. Method: From 2008 to 2020, we analyzed all consecutive patients treated with VA-ECMO for high-risk PE in our tertiary 35-bed intensive care unit (ICU). Demographic variables, types of reperfusion therapies, indications for VA-ECMO (refractory shock or refractory CA requiring extra-corporeal cardiopulmonary resuscitation, ECPR), hemodynamic variables, initial arterial blood lactate and ICU complications were recorded. The primary outcome was ICU survival, and secondary outcome was hospital survival. Results: Our cohort included 18 patients (9F/9M, median age 57 years old). VA-ECMO was indicated for refractory shock in 7 patients (2 primary and 5 following resuscitated CA) and for refractory CA in 11 patients. Eight patients received anticoagulation only, 9 received ST, and 4 underwent surgical embolectomy. ICU survival was 1/11 (9%) for ECPR vs 3/7 (42%) in patients with refractory shock (p = 0.03, log-rank test). Hospital survival was 0/11 (0%) for ECPR vs 3/7 for refractory shock (p = 0.01, log-rank test). Survivors and Non-survivors had comparable demographic and hemodynamic variables, pulmonary obstruction index, and amounts of administered vasoactive drugs. Pre-ECMO lactate was significantly higher in non-survivors. Massive bleeding was the most frequent complication in survivors and non-survivors, and was the direct cause of death in 3 patients, all treated with ST. Conclusions: VA-ECMO for high-risk PE has very different outcomes depending on the clinical context. Furthermore, VA-ECMO was associated with significant bleeding complications, with more severe consequences following systemic thrombolysis. Future studies on VA-ECMO for high-risk PE should therefore take into account the distinct clinical presentations and should determine the best strategy for reperfusion in such circumstances.
Support for the Three-Factor Model of Narcissism and its Personality Underpinnings Through the Lens of the Network Psychometrics
Authors: Rogoza Radosław , Crowe Michael , Jamison Laura , Cieciuch Jan , Strus Włodzimierz
Published: May 2022

Recent literature on narcissism argues that there are three factors covering the construct: agentic, antagonistic, and neurotic. Within the current study we aim to: 1) empirically test whether this hypothesized structure reproduces using, for the first time, network psychometrics with eight distinct narcissism measures as well as re-analysing data from eleven narcissism measures from Crowe et al. (2019), and 2) scrutinize the personality underpinnings of the differentiated facets through the lens of the Circumplex of Personality Metatraits model. Within the study, N = 465 Polish adults were administered eight distinct narcissism measures, comprising thirteen scales capturing different aspects of narcissistic personality and a measure of personality metatraits. Results revealed that the three-factor structure reproduces well in the network approach across both datasets. The circumplex analyses provided further evidence for the personality underpinnings of the three factors. We discuss the role of pathological narcissism within the three-factor conceptualization of narcissism. Findings of the current paper facilitate the understanding of narcissistic personality.
The effect of open access on scholarly and societal metrics of impact in the ASHA Journals
Authors: Long Helen , Drown Lee , El Amin Mariam
Published: May 2022

Purpose: The present study examined the effect of open access (OA) status on scholarly and societal metrics of impact (citation counts and altmetric scores, respectively) across manuscripts published in the ASHA Journals.Method: 3,419 manuscripts published in four active ASHA journals were grouped across three access statuses based on their availability to the public: Gold OA, Green OA, and Closed Access. Two linear mixed-effects models tested the effects of OA status on citation counts and altmetric scores of manuscripts.Results: Both Green OA and Gold OA significantly predicted a 2.70 and 5.21 respective increase in citation counts compared to Closed Access manuscripts (p < .001). Gold OA was estimated to predict a 25.7-point significant increase in altmetric scores (p < .001), but Green OA was only marginally significant (p = 0.68) in predicting a 1.44 increase in altmetric scores relative to Closed Access manuscripts.Discussion: CSD research that is fully open receives more online attention and overall, more scientific attention than research that is paywalled or available through Green OA methods. Additional research is needed to understand secondary variables affecting these and other scholarly and societal metrics of impact across studies in CSD. Ongoing support and incentives to reduce the inequities of OA publishing are critical for continued scientific advancement.
Makalah kelembagaan dan identitas koperasi
Authors: GEBY
Published: May 2022

Koperasi mempunyai karakteristik khusus ditinjau dari keangotaannya yaitu anggota sebagai pemilik (owner) sekaligus anggota sebagai pengguna jasa koperasi (user), yang lebih dikenal dengan prinsip “dual identity’ anggota. Agar koperasi dapat berfungsi dengan baik, maka “dual identity’ anggota harus dilaksanakan dengan baik. Pencerminan sifat ganda anggota tersebut juga nampak pada kelembagaan koperasi.
Kaitan Pembelajaran Bahasa Indonesia Dengan Lingkungan
Authors: Melsari Novi
Published: May 2022

Essay ini berisi tentang kaitan pembelajaran bahasa indonesia dengan lingkungan. Pembelajaran bahasa indonesia berpengaruh terhadap lingkungan .
KELEMBAGAAN DAN IDENTITAS KOPERASI
Authors: FADHILLAH NUR
Published: May 2022

Koperasi merupakan bagian dari tata susunan ekonomi, hal ini berarti bahwa dalam kegiatannya koperasi turut mengambil bagian bagi tercapainya kehidupan ekonomi yang sejahtera, bagi orang-orang yang menjadi anggota perkumpulan itu sendiri maupun untuk masyarakat disekitarnya.
Kaitan Lingkungan dengan Pembelajaran Bahasa Indonesia
Authors: Gusmita Mayang
Published: May 2022

Variasi dalam pembelajaran adalah perubahan dalam proses kegiatan yang bertujuan untuk meningkatkan motivasi belajar peserta didik, serta mengurangi kejenuhan dan kebosanan. Proses pembelajaran pada hakekatnya untuk mengembangkan aktivitas dan kreativitas peserta didik, melalui berbagai interaksi dan pengalaman belajar. Namun dalam pelaksanaannya sering kali tidak di sadari, bahwa masih banyak kegiatan pembelajaran yang dilaksanakan justru menghambat aktivitas dan kreativitas peserta didik. Proses pembelajaran di kelas pada umumnya lebih menekankan pada aspek kognitif, sehingga kemampuan mental yang dipelajari sebagian besar berpusat pada pemahaman bahan pengetahuan dan ingatan. Dalam situasi yang demikian biasanya peserta didik dituntut untuk menerima apa-apa yang di anggap penting oleh guru dan menghafalnya. Guru pada umumnya kurang menyenangi suasana pembelajaran yang para peserta didiknya banyak bertanya mengenai hal-hal di luar konteks yang diajarkan. Melihat kondisi yang demikian, maka aktivitas dan kreativitas para peserta didik terhambat atau tidak dapat berkembang secara optimal. Banyak cara untuk menciptakan suasana belajar kondusif yang dapat mengembangkan aktivitas dan kreativitas belajar secara optimal, sesuai dengan kemampuan masing-masing peserta didik. Salah satunya, yaitu pemanfaatan lingkungan sekitar untuk pembelajaran.
Problem drinking is associated with intimate partner cyber abuse perpetration but is buffered by high relationship satisfaction
Authors: Woerner Jacqueline , Fissel Erica
Published: May 2022

Purpose: Intimate partner cyber abuse (IPCA) is a prevalent form of intimate partner violence (IPV) that has detrimental effects on victims’ well-being. Although research has documented associations with other forms of IPV perpetration, additional research is needed to identify IPCA perpetration risk factors. One of the most common risk factors for offline IPV is perpetrators’ alcohol use; however, less is known about how this translates to online contexts. There is also a need to identify protective factors that mitigate the effects of alcohol. Methods: This study evaluated associations between drinking, relationship satisfaction, and IPCA perpetration via self-report questionnaires within a longitudinal framework. Participants included 544 adults in an intimate relationship (n = 296 at T2). Results: Results indicated that relationship satisfaction buffered the effects of problem drinking on IPCA perpetration at T1, but not at T2. Further, 20.2% of individuals who perpetrated IPCA at T1 drank alcohol during at least one incident, and these individuals reported more problem drinking and more frequent IPCA perpetration compared to those who reported IPCA without alcohol. Conclusions: Results from this study provide insight into both risk and protective factors for IPCA perpetration among adults and have the potential to guide concurrent prevention strategies that target intersections between problem drinking, IPCA, and offline IPV, and promote healthy and satisfying intimate relationships.
Incentivising accuracy reduces bias in the imposter phenomenon
Authors: Gadsby Stephen , Hohwy Jakob
Published: May 2022

The imposter phenomenon (IP) involves a bias towards negative performance evaluation. While dispositional theories predict that such biases are inflexible, situational theories suggest that they may respond to accuracy incentives. In this study, we tested whether performance evaluation bias in IP is responsive to financially incentivising accuracy. Participants (n = 225) high and low in IP solved a set of reasoning problems that they were informed were designed to test their intelligence. After the task, participants estimated their performance, in either an incentivised or unincentivized condition. The results replicated previous findings, as participants high in IP evaluated their performance more negatively. However, when incentivised to do so, high IP participants became more positive in their self-assessments. Amongst low IP participants, no effect of incentive was revealed. These findings emphasise the importance of situational factors in understanding and intervening on the biases associated with IP.
Phytoplankton Community Structure in Carocok Tarusan Beach Pesisir Selatan Regency West Sumatra Province
Authors: Adrizal Taufik , Siregar Sofyan Husein , Nurrachmi Irvina
Published: May 2022

The existence of phytoplankton in the aquatic environment greatly affects aquatic life itself. Through photosynthesis, phytoplankton is responsible for producing oxygen and nutrients, especially for other marine organisms. Furthermore, phytoplankton can be indicators of fertility and the quality of an aquatic ecosystem. The waters of Carocok Tarusan beach have congested anthropogenic activities, like shipyard and shipping, tourism, and domestic activities. This of course greatly affects the existence of phytoplankton which is very dependent on environmental conditions. This study aims to determine the structure of the phytoplankton community and its relation to the characteristics along with the quality of the waters in Carocok Tarusan beach. Phytoplankton samples were collected by using plankton net number 25 at three stations that have been determined by the purposive sampling method. The results showed that the temperature values ranged from 29.3-29.7ºC, salinity 27.7-31.3‰, brightness 1.8-3 m, pH 7, 0.3-0.6 m/s. There are 12 species from 3 classes found. The most common species found were Navicula sp, Synedra ulna sp., and Isthmia sp. The average abundance of phytoplankton at each station is 57.86-92.58 Ind/L. The results of the ANOVA test on the abundance of phytoplankton showed a significant value of 0.108, which means the P value> 0.05, this indicates that there is no significant difference in the abundance of phytoplankton between stations. The value of the species diversity index (H') of phytoplankton has an average value of 1.7436 - 2.0028. The Uniformity Index (E) has an average value ranging from 0.1393 to 0.1464. Meanwhile, the phytoplankton dominance index shows an average value of 0.2661 – 0.3191