bluuebunny/crossref_metadata_2025 huggingface dataset:
Simultaneous Isolation of Rutin and Narcissin in High Purity from Aerial Parts of Suaeda Japonica
Authors:   The Korean Tea Society, Oh Gyu-Yeon , Cho Eun-Seo , Moon Jae-Hak , Jeon Tae-Il , Cho Jeong-Yong
Published: July 2022

Suaeda japonica is a useful candidate food material for the manufacture of blended tea due to its red color and excellent antioxidant activity. Rutin and narcissin are the main antioxidative flavonoids in the aerial parts of S.japonica, and these compounds have been reported to have antioxidant, anti-inflammatory, antibacterial, and anticancer activities. However, comparatively little is known about the biological activities of narcissin, which is present in small amounts in several plants. In this study, we developed an isolation method to obtain rutin and narcissin simultaneously in high purity from the aerial parts of S. japonica. The rutin and narcissin contents in the hot water extract of the aerial parts of S. japonica were 59.2 ± 1.3 mg/100 g and 171.3 ± 2.1 mg/100 g, respectively, as determined by ODS-HPLC. Briefly, the dried aerial parts (50 g) of S. japonica were extracted with hot water, and the filtrate obtained was extracted with water-saturated n-butanol (BuOH). The BuOH fraction was purified by medium-performance liquid chromatography using an octadecylsilane column. The purities of the rutin (27.6 mg) and narcissin (79.9 mg) isolated both exceeded 99% by LC-MS and 1 H-NMR analysis, and their total recoveries were estimated to be > 91%.
Dust-Retaining Capacity of Deciduous and Coniferous Trees in Tashkent City, Uzbekistan
Authors:   Plant Botany and Physiology Department, Biology School, Mirzo Ulugbek National University of Uzbekistan, 4 Universitetskaya Str., Tashkent, 100174, Uzbekistan, Zeybert E.A. , Akinshina N.G. ,   Applied Ecology and Sustainable Development Department, Mirzo Ulugbek National University of Uzbekistan, 4 Universitetskaya Str., Tashkent, 100174, Uzbekistan, Mitusov A.V. ,   Kazakh-German University, 111 Pushkin Str., Almaty, 050010, Kazakhstan
Published: July 2022

This study aimed to investigate the dust-retaining capacity of tree crowns and analyze the possibility of utilizing this parameter to assess the air dust content in different parts of Tashkent City. The Dust Retention Index is expressed in the dust mass that a unit of green tree mass can hold. The plant material was collected at three sites in Tashkent with different environmental conditions (sunlight, temperature, dust sources) for the following species: catalpa (Catalpa bignonioides Walt.), London plane (Platanus acerifolia), Eldar pine (Pinus eldarica), and cedar red juniper (Juniperus virginiana). The research shows that compared to coniferous species the following deciduous species demonstrate the highest dust retention values: plane (2.4, 1.2, and 13.3 mg/cm2, respectively), catalpa (8 and 3.6 mg/cm2, respectively), pine (0.185, 0.062, and 0.785 mg/cm2, respectively), and juniper (2.2 and 0.4 mg/cm2, respectively). The dust-retaining capacity was calculated based on the total dust emission in Tashkent averaging 24.6±6.9 thou. tons per year (2009-2018). Plane is capable of retaining approx. 0.61%, and pine – approx. 0.16% of the mean annual (2009-2018) aerosol mass (per 100 thou. trees). The calculations allow concluding that in order to compensate (retain) the annual dust emission in Tashkent, approximately 17-19 mln plane trees or 60-62 mln pine trees are necessary.
Notas sobre a Mensagem Central do Cristianismo
Authors: Cavalcanti Tereza
Published: July 2022

Em setembro de 1970 a revista Conciliam promoveu um Congresso de Teologia em Bruxelas tendo como tema «o futuro da Igreja». Ali se reuniram alguns dos mais eminentes teólogos de nossa época, oferecendo seu esforço de reflexão e suas colaborações variadas: E. Schillebeeckx, Yves Congar, Karl Rahner, M.-D. Chenu, Hans Küng, J. B. Metz, e muitos outros. Vários trabalhos foram então apresentados sobre a «Igreja de amanhã», do ponto de vista teológico, pastoral, sociológico... Dentre esses trabalhos encontramos três conferências, curtas mas extremamente densas, sob o título: «Qual é a mensagem cristã?». Parece significativo que, ao se pensar na Igreja do futuro, tenha-se a necessidade de definir mais uma vez qual é afinal a mensagem que os cristãos têm para trazer ao mundo...
Tensão entre a Busca de Realização Pessoal e a Obediência Religiosa
Authors: Boff Leonardo
Published: July 2022

Entre os temas que afloram em todas as discussões acerca da vida religiosa aparece ineludivelmente o da realização pessoal. Na consciência de todos os religiosos, especialmente mais jovens, eclodiu a convicção: devo me realizar pessoalmente de forma plena e completa. A vida religiosa, como outras vidas, deve oferecer a todos a chance de poderem realizar-se do melhor modo possível. Se ela não se presta a isso, então para que a vida religiosa?...
As Razões do Coração
Authors: Kloppenburg Boaventura
Published: July 2022

A finalidade destas linhas é ajudar a descobrir as «razões do coração» intuídas por Pascal. Pois precisamente com relação à existência de Deus talvez estas razões do coração tenham também sua importância. Se chamo a atenção para este possível tipo de conhecimento de Deus, não me move nenhum sentimento antiintelectualista ou antimetafisista. Suspeito apenas que este lado obscuro da natureza humana ainda não foi suficientemente explorado; e que a psicologia moderna, principalmente a do dinamismo humano inconsciente, talvez poderia ajudar-nos na procura de Deus, ainda que seja às apalpadelas (cf. At 17,27) e — como diz o recente Concílio Vaticano II em Ad Gentes n. 3 — de um modo quase secreto no interior do homem: modo quasi secreto in mente hominum, lá onde, segundo uma expressão de S. Agostinho, Deus é mais íntimo que o meu íntimo: interior intimo meo, onde Deus é mais elevado que o vértice supremo do homem: superior summo meo...
Perbedaan Pengaruh Latihan Handgrip & Dumbell Terhadap Peningkatan Kekuatan Genggaman Jari Pada Pemain Bulu Tangkis
Authors:   Program Studi, Pendidikan Olahraga, Fakultas Keguruan dan Ilmu Pendidikan Universitas Muhammadiyah Surakarta, Novan Priambudi Tegar Galih , Akhmad Syaukani Agam ,   Program Studi, Pendidikan Olahraga, Fakultas Keguruan dan Ilmu Pendidikan Universitas Muhammadiyah Surakarta
Published: July 2022

This study was to determine the effect of handgrip and dumbbell exercises on increasing grip strength in badminton players. This type of research is quantitative research with experimental methods and the non-equivalent group design method. The sample of this study amounted to 20 respondents who were divided into 2 groups. Group 1 was given a handgrip exercise and group 2 was given a dumbbell exercise. The sampling technique used purposive sampling. The data analysis method used prerequisite test (normality test and homogeneity test) and hypothesis test using t test. Based on the results of the study, the average value of measurements before handgrip exercise was 33.19 and after handgrip exercise, the average value was 36.2 with an increase in value of 3.01. In the group that was given dumbbell training, before being given the exercise, the average value was 36.4 and after the exercise, the average value was 38.53 so that the average increased by 2.13. the results obtained tcount -1.1428 < ttable 1.8124 with an increase in the value of the exercise score before and after exercise in the handgrip group of 3.01 and in the dumbbell group of 2.13 so it was concluded that there was an insignificant effect between the group given the handrip exercise. as well as the group that was given dumbbell exercises. Handgrip exercises and dumbbell exercises have an effect on increasing the finger grip strength of badminton players
Perubahan Pola Hidup Guru Pendidikan Jasmani Selama Pandemi Covid-19
Authors:   Program Studi Pendidikan Jasmani, Fakultas Pedagogi dan Psikologi, Universitas PGRI Adi Buana Surabaya, Indra Kusuma Angga , Pieter Shandy ,   Program Studi Pendidikan Jasmani, Fakultas Pedagogi dan Psikologi, Universitas PGRI Adi Buana Surabaya, Hanato Puriana Ramadhany ,   Program Studi Pendidikan Jasmani, Fakultas Pedagogi dan Psikologi, Universitas PGRI Adi Buana Surabaya, BP Ismawandi ,   Program Studi Pendidikan Jasmani, Fakultas Pedagogi dan Psikologi, Universitas PGRI Adi Buana Surabaya, Dharma Utamayasa I Gede ,   Program Studi Pendidikan Jasmani, Fakultas Pedagogi dan Psikologi, Universitas PGRI Adi Buana Surabaya
Published: July 2022

The Covid-19 pandemic has caused the government to take Lock Down, PSBB, New Era, PPKM policies. This policy resulted in schools and public places being closed or reduced mobility. This can trigger changes in lifestyle and physical activity for physical education teachers. The purpose of this study is to describe and analyze changes in lifestyle and physical activity of physical education teachers before and during the pandemic. The research method was carried out with quantitative descriptive where in data collection using a questionnaire with the help of the google form platform. The research subjects were 100 physical education teachers (aged 24-53 years, 29% female). The results of this study are that there are changes in the exercise performed, the frequency and duration of exercise tend to decrease, the frequency of eating tends to be the same, and the duration of sleep tends to decrease. The conclusion of the research is that there are changes in lifestyle and physical activity for physical education teachers during the pandemic. Suggestions for physical education teachers can rearrange lifestyle and physical activity so that they can increase immunity as one of the prevention of covid 19 transmission.
Tingkat Kebugaran Jasmani Mahasiswa Prodi Pendidikan Olahraga
Authors:   Universitas Tunas Pembangunan Surakarta, Sakti Rumpoko Satrio , Dwi Jayanti Karlina ,   Universitas Tunas Pembangunan Surakarta, Febrianti3 Rima ,   Universitas Tunas Pembangunan Surakarta, Rohman Hakim Arif ,   Universitas Tunas Pembangunan Surakarta, Sunjoyo Sunjoyo ,   Universitas Tunas Pembangunan Surakarta, Septi Sistiasih Vera ,   Universitas Muhammadiyah Surakarta
Published: July 2022

Physical fitness is an important physical component and must be possessed by Sports Education students, because most of the courses offered are practical courses. One of the basic physical fitness that must be possessed is cardiorespiratory endurance. The purpose of this study was to determine the level of basic physical fitness of cardiorespiratory endurance students of the FKIP UMS sports education study program batch 2021. To determine the level of a person's cardiorespiratory endurance can be done by measuring maximum oxygen (VO2max) by means of tests and measurements of running MFT (Multistage Fitness Test). This type of research is quantitative descriptive research which is stated in the form of a percentage. The population of this study used all active students of the FKIP UMS Sports Education Study Program batch 2021 totaling 120 students consisting of 105 boys and 15 girls. The results showed that from 120 sports education students there were 10 people or 8% physical fitness level in the very poor category, 17 people or 14% physical fitness level in the less category, 21 people or 18% physical fitness level in the moderate category, 56 people or 47% at the low level. physical fitness is in good category, and there are 16 people or 13% of sports education students who have a physical fitness level in the very good category. Based on the results of this study, it was concluded that the level of basic physical fitness (cardiorespiratory endurance) of the 2021 FKIP UMS sports education students was good. There are 72 people or 60% of the total 120 students are in the good and very good category.
Pedagogi Positif dalam Pendidikan Jasmani (Literature Review)
Authors:   Program Doktoral, Universitas Negeri Surabaya, Pascasarjana Universitas Negeri Surabaya, Yanuar Rizky Muhammad , Cholik Mutohir Toho ,   Program Doktoral, Universitas Negeri Surabaya, Pascasarjana Universitas Negeri Surabaya, Suroto Suroto ,   Program Doktoral, Universitas Negeri Surabaya, Pascasarjana Universitas Negeri Surabaya
Published: July 2022

This study aims to reveal the role of positive pedagogy in physical education during the COVID-19 pandemic.This study aims to provide a comprehensive synthesisinformatio of relevant studies voncerningabout the role of positive pedagogy in physical education during the covid 19 pandemic. This study uses a literature review method by adopting the Preferred Items for Systematic Reviews and Meta Analyses: PRISMA as a using comprehensive strategy focusing relevant such as such as articles in the research database. The databases used are Pubmed / MEDLINE, Scopus, Web of Science, and Embase. The keywords used in the search were pedagogy, motor skills, sports, positive pedagogy, and children. There were 20 articles obtained, and 5 selected articles were analyzed through the objectives, topics, sample size, research protocol, and results of each article. The results of this study explain that positive pedagogy that includes a holistic perspective can produce fun learning and the formation of movement competencies and students become better The results of this study explain that positive pedagogy increases motivation, directs development, forms self-efficacy, increases social responsibility, suppresses bullying behavior, and can improve psychomotor and cognitive aspects. It is hoped that teachers can apply positive pedagogy that includes a holistic perspective so that it can produce fun learning and the formation of movement competence and knowledge of students for the better.
Analisis Unforce Error Dan Dives Error Dalam Permainan Bulutangkis
Authors:   Univesitas PGRI Adibuana, Pendidikan Jasmani, Surabaya, Akbar Harmono Bayu , Wahyono Muhammad ,   Univesitas PGRI Adibuana, Pendidikan Jasmani, Surabaya, Suryansah Suryansah ,   Universitas Hamzanwadi
Published: July 2022

This research was motivated by the badminton achievements of the students of PGRI University Surabaya. This achievement actually shows the shortcomings or weaknesses of the women's singles athletes at PGRI University Surabaya. Both in defending the attack or the attack ability that is not optimal, it results in ball errors such as unforce errors and diving errors. So that it produces a number for the opponent. The purpose of this research is to provide answers and scientific evidence about unforce error and dives error in the women's singles match for the students of Universitas PGRI Adi Buana Surabaya. This study uses a quantitative descriptive approach, with the subject of 6 female students at the University of PGRI Adi Buana Surabaya. This study analyzes unforce errors and dives errors in badminton. The results of the analysis of this study are: (1) Unforce error and dive error each have an effect of 28% for unforce error and 72% for dive error
Pengaruh Modifikasi Alat Peraga Montessori Terhadap Kemampuan Motorik Kasar
Authors:   Program studi pendidikan olahraga, Fakultas ilmu keolahragaan dan kesehatan masyarakat, Universitas Pendidikan Mandalika., Primayanti Intan , Isyani Isyani ,   Program studi pendidikan olahraga, Fakultas ilmu keolahragaan dan kesehatan masyarakat, Universitas Pendidikan Mandalika., Muliyani Sri Erny ,   Program studi pendidikan olahraga, Fakultas ilmu keolahragaan dan kesehatan masyarakat, Universitas Pendidikan Mandalika.
Published: July 2022

The Montessori method, which is a learning method that depends on each student, has the advantage of growing critical thinking, collaborating, and acting more assertively. Children with good cognition are characterized by problem-solving skills by prioritizing prosocial in every interaction, and vice versa. The lack of research in the field of sports related to motor and montessori movements, especially in West Nusa Tenggara and the results of observations at the MI Al Ijtihad school still use a monotonous learning pattern so that students tend to be passive, not independent and not confident so that it affects motor skills, in this study what is meant is rough motoric. The population in this study were students of MI Al-Ijtihad, totaling 20 students. In this study, researchers used purposive sampling with certain criteria. In this study, the researchers used instruments, namely the Zig-zag Running test and the Throwing the ball at the target. The type of research used is a quantitative experiment with a pre-test post-test group design. The data analysis technique used is the t-test through the t-test formula. From the results of statistical data analysis of the effect of modification of props on gross motor skills, the tcount X (throwing the ball at the target) of 5.446 simultaneously between Y and X1 draws conclusions from the table analysis at a significant level of 5% with the number of samples (n - 1), namely 19 is 2,869. So it can be concluded that ''There is an effect of modification of Montessori teaching aids on gross motor skills seen from tcount > ttable (5.446 > 2.869).
The Evolution of the Low-Cost Carriers in Australia’s International Air Freight Market
Authors: BAXTER Glenn
Published: July 2022

This study examines the development of the low-cost carriers (LCCs) in Australia’s export and import air freight markets. The study period is from 2004 to 2020. The study used a qualitative instrumental case study research approach. The data gathered for the study was examined by document analysis. The study found that the development of the low-cost carriers (LCCs) share of Australia’s annual export and import air freight markets occurred in three distinct phases. In the initial phase, 2004-2005, the market was served by just one low-cost carrier (LCC) Pacific Blue Airlines, who did not transport any export or import air freight in 2004. In 2005, the airline made a strategic policy decision to transport air freight. Phase 2 saw the inception of international services by Jetstar Airways in 2006. Jetstar Airways immediately gained import and export air freight traffic. The third phase took place from 2007 to 2020, when the major Asia-based low-cost carriers entered the market, starting with AirAsia-X in 2007. The low-cost carriers (LCCs) annual air freight market growth rates oscillated substantially over the study period, particularly for export air freight traffic. Despite the strong growth, the low-cost carriers (LCCs) annual market export and import air freight shares are considerably lower than those of the dedicated all-cargo carriers and full-service networks carriers (FSNCs).
Drug prescription pattern among patients on national health insurance at a tertiary care hospital in north east Nigeria
Authors: Paul Otor Onah  , Catherine Chioma Idoko
Published: July 2022

The quality of drug prescriptions is one of many determining factors of patient treatment outcomes. Irrational drug use is a significant contributor to adverse reactions and its associated morbidity and mortality among patients. In addition, it also increase the cost of medical care, reduce affordability of drugs and impose unnecessary financial cost for medical services. Evaluation of prescribing practices using appropriate tools is one of the many methods of assessing the quality and rational of drug use in healthcare facilities. The major objective of this study is to determine level of polypharmacy and drug prescribing pattern using WHO core indicators. This was a cross sectional retrospective study of prescriptions obtained from pharmacy dispensing records. A total of 5079 prescriptions over a two year period were retrieved using simple random sampling method and relevant data extracted for analysis. The result showed that antibiotics, analgesics and haematinics were the most prescribed class of drugs. The number of drugs per encounter and percentage of prescriptions with antibiotics was higher than WHO core indicators. Prescription of drugs from essential drug list and in generic names was low. This result indicated that wide gap remain between recommended standard of rational drug use and drug prescription practices that needs to be bridged if patients are to derive optimal benefits therapy. Prescribing practices were not in alignment with WHO core indicators of rational drug use. There is need to strengthen oversight of prescription practices and education of prescribers to improve drug prescription habits.
Cellular backpacks for macrophage immunotherapy- A Review
Authors: Rama Himaja Movva  , Srinivasa Rao Yarraguntla  , Venkata Kamala Kumari Paravastu
Published: July 2022

Worldwide, the most feared disease is cancer and more than 10 million people fall prey to it every year. For curing a disease, destroying the agent causing disease is required in the host, within the same environment. The utmost promising treatment is immunotherapy for cancer, and it has set a new pattern leading to many breakthroughs. Compared with norms of care such as chemotherapy, radiotherapy and surgery; immunotherapies like adoptive cellular immunotherapy, antibodies, vaccines, immune checkpoint inhibitors have achieved great heights in terms of its success rate and has brought remarkable growth in terms of quality of life and survival. There are limitations like adverse effects, inconsistent efficiency, and with regards to cancer low resistance and antitumor response rate, despite all the progress made. Between the in-built and adaptive immunity, co-operation is very crucial, for a long-lasting and efficacious antitumor response. Therapeutic approaches combined or based with macrophages were made in order to bypass these challenges, for the better treatment of various therapies to cure and reduce the severity of cancer. The role of macrophages and backpacks with the advancement of nanotechnology in current immunotherapy is vital for drug administration and will be an asset in the present era.
Efektifitas Komunikasi Interpersonal dalam Bimbingan Konseling Guru dan Murid di SMP Negeri 9 Ambon
Authors: Salakay Selvianus , Nahuway Yohana
Published: July 2022

Perkembangan fisiologi siswa pada jenjang umur akil-balik secara psikologis masih dihadapkan pada pencarian jati diri dan rentan pada perbuatan yang melanggar aturan sekolah dan menimbulkan banyak persoalan. Menghadapi kondisi seperti ini di butuhkan Guru Bimbingan Konseling yang dapat memainkan peran khusus ketika berhadapan dengan siswa yang bermasalah. Tujuan penelitian ini adalah:  untuk mengkaji dan mengetahui tentang pola komunikasi interpersonal yang efektif dalam bimbingan konseling antara guru dan siswa Sekolah Menengah Pertama Negeri 9 Ambon. Pengambilan informan secara purposive sampling yakni guru bimbingan konseling dan  siswa  dengan  kriteria yang sedang atau pernah membuat masalah. Penelitian ini menggunakan metode deskriptif  kualitatif. Analisis data model interaktif dimana data direduksi, disajikan dan diverifikasi atau menarik kesimpulan yang terarah. Hasil penelitian menunjukan bahwa pola komunikasi interpersonal dalam bimbingan konseling antara guru dan siswa memperlihatkan lima aspek penting. Aspek keterbukaan memperlihatkan bahwa siswa yang bermasalah lebih banyak memilih berkata tidak jujur atau tidak terbuka. Akhirnya guru menerapkan teknik komunikasi persuasif dalam penyelesaian masalah siswa. Aspek empati memperlihatkan adanya rasa empati dan peduli yang tinggi dari guru bimbingan konseling terhadap permasalahan siswa. Aspek dukungan memperlihatkan guru bimbingan konseling memahami permasalahan siswa dan memberikan penguatan dan motivasi agar bisa keluar dari permasalahannya. Aspek sikap positif memperlihatkan bahwa sikap positif guru sangat mempengaruhi suasana interaksi dan komunikasi siswa. Aspek kesamaan atau kesetaraan memperlihatkan perlakuan guru terhadap siswa dilakukan sama. Kesimpulan pola komunikasi interpersonal yang efektif dalam bimbingan konseling antara guru dan siswa memperlihatkan lima aspek penting yakni keterbukaan, empati, dukungan, sikap positif dan kesetaraan/kesamaan sangat berperan dalam tercapainya efektifitas komunikasi antara guru Bimbingan Konseling dan siswa.
Analisis Wacana Kritis Pada Pemberitaan Mobil Dinas Gubernur Maluku
Authors: Husein Muhammad Iqbal , Lestaluhu Said
Published: July 2022

Media tidak saja tergantung pada berita kejadian (news event), tetapi ia memiliki tanggung jawab untuk menggiring orang melalui agenda-agenda yang bisa membuka pikiran khalayak luas (Cangara:2011). Penggiringan ini umumnya dilakukan media secara tersirat, seolah-olah media menyanjikan berita dengan tanpa mimihak atau bebas nilai. Pendekatan ini yang mendasari analisis lebih jauh lagi, makna atau nilai dibalik produksi pemberitaan kasus pengadaan mobil dinas Gubernur Maluku yang dimuat Koran Siwalima. Penelitian difokuskan hanya pada berita pengadaan mobil dinas Gubernur Maluku edisi Mei dan Juni 2021. Tulisan ini bertujuan untuk menganalisis bagiamana Koran Siwalima menkonstuksikan fakta-fakta pengadaan mobil dinas Gubenrur Maluku serta menganalisis makna/agenda dibalik pemberitaan tersebut. Metode yang digunakan dalam penelitian ini adalah diskriptif kualitatif dengan pendekatan Analisis Wacana Kritisi model Teun van Dijk. Model ini membagi konten dalam tiga tingkatakan, yaitu Struktur Makro yang terdiri atas tematik dan sub topik. Super struktur yang terdiri dari judul pendahuluan, isi, penutup dan simpulan, serta Struktur mikro yang terdiri dari semantik, sintaksis, dan retoris .  Selanjutnya, penelitian ini bisa dikembangkan lagi sebagai model identifikasi konten media yang lebih spesifik, misalkan menganlisis informasi hoaks atau fakta.
Customization of Cost Allocation Monitoring Report for Improving Activity-Based Costing Process
Authors: Damayanti Risma Nur , Saputra Muhardi , Kusumasari Tien Fabrianti
Published: July 2022

In the age of a global competition environment, accurate costing measurement is essential for every company. The more accurate allocation process to final outputs indicates the potential impact a company's decision has on costs. Activity-based costing is a technique for allocating organizational costs to activities that utilize the organization's resources and then tracing the costs of these activities to products, consumers, or distribution channels that generate profits or losses for the business. With a large number of cost allocations in the business processes, it makes it difficult for companies to identify the number of costs that have been allocated, especially if the data that must be processed is in large quantities. To overcome this problem, it is necessary to require cost mapping for the business process from resource to cost center to compare the number of costs that have been allocated. This research discusses the application of monitoring reports by using ALV customization in XYZ Ltd. This report was created using an iterative and incremental model approach. The simulation results show a 50% reduction of the time to execute the customization monitoring report, and it only takes one step to generate reports and analyze data. The results of this research are expected to be used as a study to provide the right solution in facilitating the process of checking the cost allocation on ABC to objectively monitor and analyze each business process (resource, activity, and cost object) and support the decision-making process.
Comparison of Apache SparkSQL and Oracle Performance: Case Study of Data Cleansing Process
Authors: Hidayati Ilma Nur , Kusumasari Tien Fabrianti , Hamami Faqih
Published: July 2022

A dataset with good quality is a valuable asset for a company. The data can be processed into information to help companies improve decision-making. However, the data increased more and more over time to decrease data quality. Thus, good data management is important to keep data quality meeting company standards. One of the efforts that can be done is conducting data cleansing to clean data from errors, inaccuracies, duplication, format discrepancies, etc. Apache Spark is an engine that can analyze large amounts of data. Oracle Database is a database management system used to manage databases. Both have their own reliability and can be used to analyze SQL-shaped data. This study compared Spark and Oracle performance based on query processing time. Both were tested on queries used to perform data cleansing of millions of rows of the dataset. The research focuses on finding out Spark and Oracle's performance through quantitative analysis. The results of this study showed that there were differences in query processing times on both tools. Apache Spark is rated better because it has a relatively faster query processing time than Oracle Database. It can be concluded that Oracle is more reliable in storing complex data models than in analyzing large data. For future research, it is suggested to add other comparison aspects such as memory and CPU usage. The researchers can also consider using query optimization techniques to enrich query experiments.
An Assessment Algorithm for Indoor Evacuation Model
Authors: Samah Khyrina Airin Fariza Abu , Halim Amir Haikal Abdul , Ibrahim Zaidah
Published: July 2022

The public buildings increased significantly with the economy's growth and the population's advancement. The complexity of the indoor layout and the involvement of many people cause the indoor evacuation wayfinding to the nearest exit to be more challenging during emergencies such as fire. In order to overcome the problem, each building is compulsory to follow the standard evacuation preparedness required by Uniform Building By-Law (UBBL). Researchers have also developed evacuation models to help evacuees evacuate safely during the evacuation from a building. However, building owners do not know which evacuation model is suitable for implementing the chosen high-rise building. Two problems were identified in choosing a suitable evacuation model during the decision-making process. First, many developed evacuation models focus on studying different features of evacuation behavior and evacuation time. Second, the validation and comparison of the evacuation model is the missing process before applying the suitable evacuation model. Both validation and comparison procedures were made independently without any standard assessment that encapsulates the critical incident features during the indoor evacuation and virtual spatial elements. Therefore, this research proposed an indoor evacuation assessment algorithm to solve the problem. The assessment algorithm refers to the elements developed in our previous study. We determined attributes, executed simulations, and evaluated the cluster performance using the developed framework. The outcome can help the building owners assess which suitable existing evacuation model is the best to implement at the chosen building.
A Multi-Agent K-Means Algorithm for Improved Parallel Data Clustering
Authors: Jubair Mohammed Ahmed , Mostafa Salama A. , Mustapha Aida , Baharum Zirawani , Salamat Mohamad Aizi , Erianda Aldo
Published: July 2022

Due to the rapid increase in data volumes, clustering algorithms are now finding applications in a variety of fields. However, existing clustering techniques have been deemed unsuccessful in managing large data volumes due to the issues of accuracy and high computational cost. As a result, this work offers a parallel clustering technique based on a combination of the K-means and Multi-Agent System algorithms (MAS). The proposed technique is known as Multi-K-means (MK-means). The main goal is to keep the dataset intact while boosting the accuracy of the clustering procedure. The cluster centers of each partition are calculated, combined, and then clustered. The performance of the suggested method's statistical significance was confirmed using the five datasets that served as testing and assessment methods for the proposed algorithm's efficacy. In terms of performance, the proposed MK-means algorithm is compared to the Clustering-based Genetic Algorithm (CGA), the Adaptive Biogeography Clustering-based Genetic Algorithm (ABCGA), and standard K-means algorithms. The results show that the MK-means algorithm outperforms other algorithms because it works by activating agents separately for clustering processes while each agent considers a separate group of features.
Development of Programming Log Collection System Requirements Using Interface Requirement Analysis Techniques
Authors: Park Huijae , Lee Wongyu , Kim Jamee
Published: July 2022

As software affects each industry, companies are increasingly trying to recruit talent. Despite the interest and investment of companies, it is difficult to find talents with technical expertise and specialization in a specific field at the same time. As a result, companies have begun to discover talents who can overcome their lack of expertise through talents with high problem-solving skills. Countries worldwide that felt the need to discover competitive talents began to show changes in education for nurturing talents. In particular, the results of the expansion and increase of programming education that cultivate problem-solving ability have begun to be seen. However, programming education is different from existing education, and many learners have difficulties with the introductory process due to the difficult debugging process. In order to analyze the difficulties of introductory learners and support their learning, a system that can collect data from the programming process and analyze behavior types is required. There are several methods for deriving the system requirements, but the interface requirements analysis method was selected in this study. We approached how to process data in the system by deriving the type of data that the system administrator wants to collect. This study laid the foundation for a system that can analyze the programming process of introductory learners by deriving the functional and non-functional requirements required by the data collection system through interface requirements analysis.
Data-Centric Learning Method for Synthetic Data Augmentation and Object Detection
Authors: Park Yeseong , Kim Hyeongbok , Park Yoon Jung , Lee Changsin , Lee Jinsuk
Published: July 2022

This paper proposes a deep learning framework for decreasing large-scale domain shift problems in object detection using domain adaptation techniques. We have approached data-centric domain adaptation with Image-to-Image translation models for this problem. It is one of the methodologies that changes source data to target domain's style by reducing domain shift. However, the method cannot be applied directly to the domain adaptation task because the existing Image-to-Image model focuses on style translation. We solved this problem using the data-centric approach simply by reordering the training sequence of the domain adaptation model. We defined the features to be content and style. We hypothesized that object-specific information in images was more closely tied to the content than the style and thus experimented with methods to preserve content information before style was learned. We trained the model separately only by altering the training data. Our experiments confirmed that the proposed method improves the performance of the domain adaptation model and increases the effectiveness of using the generated synthetic data for training object detection models. We compared our approach with the existing single-stage method where content and style were trained simultaneously. We argue that our proposed method is more practical for training object detection models than others. The emphasis in this study is to preserve image content while changing the style of the image. In the future, we plan to conduct additional experiments to apply synthetic data generation technology to various other application areas like indoor scenes and bin picking.
A Framework for Personalized Training at Home Based on Motion Capture
Authors: Park Hyunjoo , Jeong Seungdo
Published: July 2022

As the number of single-person households continues to increase, contents related to exercise at home are increasing. Therefore, this paper proposes a framework for efficient home fitness. The home fitness framework proposed in this paper is based on a method of acquiring expert motion information and providing it to users. To this end, content creation and provision are implemented by using Kinect and Unreal game engine. In addition, it is possible to provide customized home fitness in consideration of the user's athletic ability. The proposed system first captures the expert's motion and stores it. We propose a method that can efficiently store stop motion and dynamic motion storage. In the case of each user, since there is a difference in exercise ability for each individual, an adverse effect may occur if an excessively accurate motion is requested. Therefore, to solve these problems, we present the parts that can be considered for each joint. For the exercise motion provided by the expert, a method was provided that allows the user to adjust the degree of matching for each joint in consideration of user's own exercise ability. That is, joint parts that do not require exact matching could be completely excluded from matching. For parts that would be subject to large changes, a range of errors is specified. As the training progresses, the error range is reduced, and the excluded parts are presented to be matched gradually. Such adjustments are made based on expert feedback. In this way, it was possible to improve the exercise effect gradually. This paper proposes an effective method for personalized home fitness according to the user's athletic ability. This will apply to various fields besides home fitness.
Malware Authorship Attribution Model using Runtime Modules based on Automated Analysis
Authors: Lee Sangwoo , Cho Jungwon
Published: July 2022

Malware authorship attribution is a research field that identifies the author of malware by extracting and analyzing features that relate the authors from the source code or binary code of malware. Currently, it is being used as one of the detection techniques based on malware forensics or identifying patterns of continuous attacks such as APT attacks. The analysis methods to identify the author are as follows. One is a source code-based analysis method that extracts features from the source code, and the other is a binary-based analysis method that extracts features from the binary. However, to handle the modularization and the increasing amount of malicious code with these methods, both time and manpower are insufficient to figure out the characteristics of the malware. Therefore, we propose the model for malware authorship attribution by rapidly extracting and analyzing features using automated analysis. Automated analysis uses a tool and can be analyzed through a file of malware and the specific hash values without experts. Furthermore, it is the fastest to figure out among other malware analysis methods. We have experimented by applying various machine learning classification algorithms to six malware author groups, and Runtime Modules and Kernel32.dll API extracted from the automated analysis were selected as features for author identification. The result shows more high accuracy than the previous studies. By using the automated analysis, it extracts features of malware faster than source code and binary-based analysis methods.
How to Deeply Analyze the Content of Online Newspapers Using Clustering and Correlation
Authors: Rokhayati Yeni , Sartikha - , Janah Nur Zahrati
Published: July 2022

The increase in the number of visitors is one of the keys to increasing income for online newspapers, whether to increase the number of ads, Google AdSense, or customer trust. Therefore, finding which news categories increase the number of visitors needs to be known and analyzed more deeply. Because it is very common to add content to online newspaper sites every day, even for hours, this pattern analysis is not the same as analyzing regular website content patterns. This study intends to add methods in the world of research on how to analyze website content, especially online news, by using the clustering method to classify what news categories bring high, medium, or a low number of visitors and then analyzing the correlation to explore the depth of the relationship between the variables, namely which parameters have a large or low effect on the increase in the number of visitors. A local Batam-based online newspaper company is used as a case study for this research. Data is collected, preprocessed first, and analyzed using the clustering and correlation method. This analysis of the news content readership suggests what news categories should be optimized because it provides an increase in the number of visitors. A summary of the analysis steps in this study is presented. We also provided some suggestions if other online newspaper owners or researchers are interested in a similar analysis of online news content.
The Use of Image Processing and Sensor in Tomato Sorting Machine by Color, Size, and Weight
Authors: Sari Marlindia Ike , Fajar Rizal , Gunawan Tedi , Handayani Rini
Published: July 2022

Tomatoes are a popular vegetable in Indonesia, where production increases every year according to market demand. The large production requires proper post-harvest handling both in quality and time. It has been well-known that sorting and grading are the first and foremost processes in the post-harvest process of tomatoes. Sorting tomatoes can be conducted by colorÂ and adjusted to the target market. The automation process in the post-sorting and grading process can save time and resources. This research proposes a sorting system that sorts tomatoes based on color, size, and weight. Tomatoes are sorted by red, yellow, and green colors. The detection of color and size was carried out by image processing with the OpenCV library. The color detection was carried out by HSV's red, yellow, and green values. In comparison, the dimensional measurement was carried out by determining the outermost point of the detected object both vertically and horizontally.Â At the same time, tomatoes' weight was measured by a weight sensor. This system was implemented into a prototype sorting system with a webcam, Arduino, a conveyor, and motors. The final part was a storage box used to accommodate tomatoes based on grading. The implementation has the maximum results for detecting color with 100% accuracy and measuring weight with 95% accuracy. However, it still needs development for dimensional measurements. In this research, it has only 5% accuracy. This proposed system can be used both in software and hardware design as an inline tomato sorting tool.
Implementation of Support Vector Regression for Polkadot Cryptocurrency Price Prediction
Authors: Haryadi Deny , Hakim Arif Rahman , Atmaja Dewi Marini Umi , Yutia Syifa Nurgaida
Published: July 2022

Cryptocurrency investment is an investment instrument that has high risk but also has a greater advantage than other investment instruments. To make a big profit, investors need to analyze cryptocurrency investments to predict the price of the cryptocurrency to be purchased. The highly volatile movement of cryptocurrency prices makes it difficult for investors to predict those prices. Data mining is the process of extracting large amounts of information from data by collecting, using data, the history of data relationship patterns, and relationships in large data sets. Support Vector Regression has the advantage of doing accurate cryptocurrency price predictions and can overcome the problem of overfitting by itself. Polkadot is one of the cryptocurrencies that are often used as investment instruments in the world of cryptocurrencies. Polkadot cryptocurrency price prediction analysis using the Support Vector Regression algorithm has a good predictive accuracy value, including for Polkadot daily closing price data, namely with a radial basis function (RBF) kernel with cost parameters C = 1000 and gamma = 0.001 obtained model accuracy of 90.00% and MAPE of 5.28 while for linear kernels with parameters C = 10 obtained an accuracy of 87.68% with a MAPE value of 6.10. It can be concluded that through parameter tuning, the model formed has an accuracy value and the best MAPE is to use a radial kernel basis function (RBF) with cost parameters C = 1000 and gamma = 0.001. The results show that the Support Vector Regression method is quite good if used for the prediction of Polkadot cryptocurrencies.
Immersive Applications in Museums: An Analysis of the Use of XR Technologies and the Provided Functionality Based on Systematic Literature Review
Authors: Komianos Vasileios
Published: July 2022

Immersive technologies (Virtual, Augmented, and Mixed Reality) are widely used in cultural heritage for communication, enhancing the visiting experience, and improving learning and understanding. Immersive technologies have found their way into museums and other cultural spaces in various forms and shapes. This work aims to recognize the main forms of immersive technologies and applications in museums and other cultural spaces and provide information on the employed methods, technologies, equipment, and software solutions by conducting a systematic literature review aligned with the PRISMA guidelines. The analyzed literature was collected through a focused search in scientific databases (Scopus, ACM, and IEEE). The relevance to the subject was assessed based on the main technological focus (VR/AR/MR or XR) and the employed technologies. Methods and approaches for realizing their applications were studied and discussed. Thirteen articles were found to meet the selection criteria, of which two focus on VR, six are on AR, two are on Audio-AR, and three are on MR. The results showed that Augmented Reality solutions are preferred for on-site use; Mixed Reality applications started to emerge as Mixed Reality hardware technology became available and Virtual Reality despite being criticized for isolating visitors. The findings cover the existing gap in recent literature and can reveal a set of good practices and innovative ideas for future applications.
Brain Tumor Identification Based on VGG-16 Architecture and CLAHE Method
Authors: Aulia Suci , Rahmat Dadi
Published: July 2022

Magnetic Resonance Imaging (MRI) in diagnosing brain cancers is widespread. Because of the variety of angles and clarity of anatomy, it is commonly employed. If a brain tumor is malignant or secondary, it is a high risk, leading to death. These tumors have an increased predisposition for spreading from one place to another. In detecting brain abnormality form such as a tumor, from a magnetic resonance scan, expertise and human involvement are required. Previous, the image segmentation of brain tumors is widely developed in this field. Suppose we could somehow use an automatic brain tumor detection technology to identify the presence of a tumor in the brain without requiring human intervention. In that case, it will give us a leg up in the treatment process. This research proposed two stages to identify the brain tumor in MRI; the first stage was the image enhancement process using Clip Limit Adaptive Histogram Equalization (CLAHE) to segment the brain MRI. The second one was classifying the brain tumor on MRI using Visual Geometry Group-16 Layer (VGG-16). The CLAHE was used in some instances, there were CLAHE applied in FLAIR image on green color, and CLAHE applied in Red, Green, Blue (RGB) color space. The experimental result showed the highest performance with accuracy, precision, recall, respectively 90.37%, 90.22%, 87.61%. The CLAHE method in RGB Channel and the VGG-16 model have reliably on predicted oligodendroglioma classes in RGB enhancement with precision 91.08% and recall 95.97%.