bluuebunny/crossref_metadata_2025 huggingface dataset:
Hubungan antara Persepsi Keterlibatan Ayah dalam Proses Pengasuhan dengan Kecerdasan Emosional Pada Remaja
Authors: Islami Wiwid Nur , Fardana N. Nur Ainy
Published: July 2021

Penelitian ini bertujuan untuk mengetahui apakah terdapat hubungan antara keterlibatan ayah dalam pengasuhan dengan kecerdasan emosional pada remaja. Penelitian ini dilakukan pada remaja berusia 13-18 tahun dengan jumlah subjek sebanyak 238 orang, yang terdiri dari laki-laki sebanyak 76 orang dan perempuan sebanyak 162 orang. Alat pengumpulan data yang digunakan yaitu kuesioner skala persepsi keterlibatan ayah dalam pengasuhan dan skala kecerdasan emosional. Analisis data dilakukan dengan teknik korelasi Pearson’s Product Moment dengan bantuan program SPSS 24.0 for Windows. Hasil analisis menunjukkan bahwa nilai signifikansi yang diperoleh yaitu 0,000 dengan nilai korelasi sebesar 0,389. Hal ini menunjukkan bahwa terdapat hubungan yang signifikan dengan arah positif. Artinya, semakin tinggi persepsi keterlibatan ayah dalam pengasuhan, maka semakin tinggi juga kecerdasan emosional pada remaja.
Pengaruh Modal Psikologis terhadap Persepsi Resiliensi Organisasi dalam Menghadapi Pandemi COVID-19
Authors: Said Muhammad Farras , Wicaksono Dimas Aryo
Published: July 2021

Penelitian ini bertujuan untuk mengetahui pengaruh modal psikologis terhadap persepsi resiliensi organisasi dalam menghadapi pandemi COVID-19. Temuan penelitian sebelumnya yang dilakukan oleh Fang dkk. (2020) menemukan bahwa masing-masing komponen modal psikologis mempengaruhi aktivasi mekanisme coping individu, yang sebagai konsekuensinya membangun dan meningkatkan resiliensi organisasi. Sampel penelitian merupakan karyawan aktif yang tempat bekerjanya pernah atau sedang terdampak peraturan Pembatasan Sosial Berskala Besar (PSBB). Terkumpul sejumlah 332 subjek yang memenuhi kriteria tersebut. penulis menggunakan alat ukur Psychological Capital Questionnaire (PCQ) untuk mengukur modal psikologis dan alat ukur Benchmark Resilience Tool-13B (BRT-13B) untuk mengukur persepsi resiliensi organisasi. Uji reliabilitas menggunakan McDonald’s ω.  Hasil reliabilitas alat ukur PCQ adalah 0,918 dan untuk BRT-13B adalah 0,902. Analisis data menggunakan regresi linear sederhana dengan menggunakan Jamovi 1.2.27.0 for windows. Hasil pada penelitian ini adalah modal psikologis berpengaruh secara signifikan terhadap persepsi resiliensi organisasi (p<0,001).
Pengaruh Kecerdasan Emosional terhadap Burnout pada Perawat dengan Coronavirus Anxiety sebagai Variabel Mediator
Authors: Karim Abdul , Purba Herison Pandapotan
Published: July 2021

Penelitian ini bertujuan untuk mengetahui pengaruh kecerdasan emosional terhadap burnout pada perawat di Surabaya dengan coronavirus anxiety sebagai variabel mediator. Profesi keperawatan lebih banyak mengalami tekanan kerja dan burnout dibandingkan dengan profesi kesehatan lainnya. Selain itu, perawat juga dapat mengalami kecemasan selama masa pandemi COVID-19. Mengoptimalkan kecerdasan emosional merupakan faktor kunci yang dapat mengurangi tingkat kecemasan dan burnout. Partisipan dalam penelitian ini merupakan perawat di Kota Surabaya dengan total sebanyak 77 perawat. Alat ukur yang digunakan yaitu Maslach Burnout Inventory, Assessing Emotions Scale, dan Coronavirus Anxiety Scale. Analisis data menggunakan uji mediasi dengan metode PROCESS by Andrew F. Hayes. Hasil analisis data menunjukkan nilai pengaruh secara tidak langsung sebesar -0,1229. Hasil tersebut menunjukan adanya peran mediasi dari coronavirus anxiety yang secara tidak langsung mengendalikan pengaruh kecerdasan emosional terhadap burnout dan peran mediasi bersifat parsial.
Pengaruh Kontrol Diri Terhadap Kecenderungan Perilaku Cyberbullying Pada Remaja Pengguna Media Sosial Anonim
Authors: Bulan Maria Angela Intan Cahyaning , Wulandari Primatia Yogi
Published: July 2021

Tujuan penelitian ini untuk melihat adakah pengaruh kontrol diri terhadap kecenderungan perilaku cyberbullying pada remaja pengguna media sosial anonim. Penelitian ini ditujukan untuk remaja akhir berusia 18-21 tahun yang menggunakan media sosial anonim. Jumlah responden dalam penelitian ini yaitu 493 orang. Alat ukur pada penelitian ini yaitu Brief Self Control Scale dan Skala Cyberbullying. Teknik yang digunakan adalah teknik analisis data kuantitatif, yakni analisis regresi linear sederhana menggunakan SPSS 24 for Windows. Berdasarkan hasil penelitian, diketahui bahwa terdapat pengaruh siginifikan antara kontrol diri dan cyberbullying. Dari hasil persamaan analisis regresi didapatkan persamaan yaitu Y = 220.523 + (-2.418). Dapat disimpulkan bahwa kontrol diri memilki pengaruh negatif terhadap cyberbullying yang bermakna semakin tinggi kontrol diri akan menurunkan kecenderungan perilaku cyberbullying pada remaja pengguna media sosial anonim.
Pengaruh Store Atmosphere dan Brand Image terhadap Perilaku Impulsive Buying pada Konsumen Retail Fashion Brand X di Surabaya
Authors: Alifia Annisa Savira , Hadi Cholichul
Published: July 2021

Penelitian ini bertujuan untuk mengetahui pengaruh store atmosphere dan brand image terhadap impulsive buying pada konsumen retail fashion brand X di Surabaya. Penelitian ini dilakukan pada 130 partisipan yang melakukan pembelian produk fashion dalam kurun waktu 1 tahun terakhir di toko secara offline. Pengumpulan data dilakukan dengan menggunakan kuesioner skala store atmosphere yang terdiri dari 11 aitem, skala brand image yang terdiri dari 8 aitem, dan skala impulsive buying yang terdiri dari 9 aitem. Teknik analisis data dilakukan menggunakan analisis regresi linier menggunakan parangkat lunak IBM SPSS Statistics 22 for windows. Hasil penelitian menunjukkan bahwa tidak terdapat pengaruh antara store atmosphere terhadap impulsive buying secara parsial, terdapat pengaruh antara brand image terhadap impulsive buying secara parsial. Kemudian terdapat pengaruh yang signifikan antara variabel store atmosphere dan brand image secara simultan terhadap impulsive buying.
Pengaruh Fear of COVID-19 terhadap Burnout dengan Variabel Mediator Resiliensi pada Tenaga Kesehatan
Authors: Kusuma Fikri Hadyan , Purba Herison Pandapotan
Published: July 2021

Penelitian ini bertujuan untuk mengetahui apakah ada efek mediasi dari resiliensi terhadap pengaruh fear of COVID-19 terhadap burnout. Hipotesis penelitian ini adalah (1) Tidak terdapat pengaruh fear of COVID-19 terhadap burnout dengan mediasi resiliensi pada tenaga kesehatan; (2) Terdapat pengaruh fear of COVID-19 terhadap burnout dengan mediasi resiliensi pada tenaga kesehatan. Metode penelitian ini menggunakan survei kuantitatif terhadap tenaga kesehatan. Pengumpulan data dilakukan dengan menggunakan kuesioner daring. Data dianalisis menggunakan analisis mediasi sederhana. Hasil penelitian menunjukkan terdapat efek mediasi parsial sebesar 34.5% dari resiliensi terhadap pengaruh fear of COVID-19 kepada burnout. Terdapat korelasi positif dan signifikan antara fear of COVID-19 terhadap burnout, korelasi negatif dan signifikan antara fear of COVID-19 terhadap resiliensi, dan korelasi negatif dan signifikan antara resiliensi terhadap burnout, hal ini menunjukkan bahwa resiliensi terbukti memediasi fear of COVID-19 dan Burnout.
Pengaruh Dukungan Sosial dan Harapan terhadap Resiliensi pada Remaja dengan Latar Belakang Keluarga Bercerai
Authors: Nur Azmy Tasya Nabilah , Hartini Nurul
Published: July 2021

Penelitian ini bertujuan untuk mengetahui pengaruh dari dukungan sosial dan harapan dengan resiliensi pada remaja dengan latar belakang keluarga bercerai. Resiliensi dapat terbentuk karena dipengaruhi oleh faktor protektif yang dimiliki individu. Faktor protektif dapat bersifat internal yang mencakup harapan, dan bersifat eksternal yang mencakup dukungan sosial. Penelitian ini menggunakan pendekatan kuantitatif dengan metode survei dan melibatkan 451 partisipan yang berusia 13 hingga 22 tahun. Penelitian menggunakan alat ukur skala dukungan sosial, harapan, dan resiliensi. Hasil penelitian menunjukkan adanya pengaruh dari resiliensi terhadap dukungan sosial dan harapan, dengan nilai p = 0,00 < 0,05. Sedangkan nilai korelasi antar variabel menunjukkan hubungan antar variabel bersifat negatif, dengan nilai r = -0,041 pada dukungan sosial dan r =  -0,208 pada harapan. Sehingga, dapat disimpulkan bahwa meningkatnya resiliensi disertai dengan menurunnya dukungan sosial dan harapan yang dimiliki remaja.
Pemetaan Faktor Determinan Perilaku Masturbasi Berlebihan pada Individu Dewasa Awal
Authors: Ilham Rhajiv Nur , Kurniawan Afif
Published: July 2021

Masturbasi merupakan perilaku seksual yang umum tetapi bersifat kompulsif. Masturbasi yang tidak dikendalikan dengan baik dapat mengarah pada masturbasi berlebihan. Penelitian ini bertujuan untuk memetakan faktor determinan perilaku masturbasi berlebihan pada individu dewasa awal. Penelitian ini melibatkan 268 partisipan (183 laki-laki dan 85 perempuan) yang berusia 18-40 tahun. Data dalam penelitian ini dianalisis dengan menggunakan uji regresi linear berganda dan uji independent sample t-test. Hasil analisis menunjukkan bahwa terdapat perbedaan skor rata-rata masturbasi berlebihan yang signifikan antara laki-laki dan perempuan (0,000<0,05). Prevalensi masturbasi berlebihan pada laki-laki lebih tinggi daripada perempuan. Selain itu, Kontrol diri (β=-0,178; p<0,01), konsumsi pornografi problematis (β=0,387; p<0,01), dan sikap terhadap masturbasi (β=-0,032; p<0,05) berpengaruh signifikan terhadap masturbasi berlebihan, sedangkan tingkat stress (β=0,069; p>0,05) dan kebosanan dalam waktu luang (β=0,011; p>0,05) tidak berpengaruh signifikan terhadap masturbasi berlebihan.
Gambaran Kecerdasan Emosional Remaja yang Diasuh Ayah Tunggal
Authors: Nafisah Amithya , Cahyanti Ika Yuniar
Published: July 2021

Penelitian ini bertujuan mengetahui gambaran kecerdasan emosional remaja yang diasuh ayah tunggal dengan perspektif teoritis kecerdasan emosional milik Goleman dengan 5 aspek yaitu mengenali emosi diri, mengendalikan emosi, memotivasi diri, memahami emosi orang lain, dan membina hubungan. Metode penelitian ini adalah kualitatif dengan pendekatan studi kasus intrinsik yang melibatkan dua orang partisipan yang terdiri dari dua remaja perempuan berusia 15-18 tahun yang diasuh oleh ayah tunggal. Teknik pengumpulan data yang digunakan adalah wawancara semi-terstruktur. Teknik analisis data yang digunakan adalah analisis tematik dengan pendekatan theory driven. Hasil menunjukkan remaja yang diasuh ayah tunggal mampu mengenali emosi, penyebab dan pengaruhnya pada tindakan, mampu  mengendalikan emosinya dengan menguatkan iman kepada Tuhan. Aspek memotivasi diri bersumber dari internal dan eksternal. Mampu memahami emosi orang lain dan suka membantu sesama.  Remaja yang diasuh ayah tunggal menyadari pentingnya membina hubungan dan mampu hidup selaras dengan kelompok.
Pengaruh Psychological Contract dan Perceived Organizational Support terhadap Employee Safety Behavior pada Karyawan
Authors: Safitri Indah , Wicaksono Dimas Aryo
Published: July 2021

Pandemi Covid-19 menyebabkan kesehatan dan keselamatan karyawan yang bekerja secara langsung di kantor lebih berbahaya dibandingkan karyawan yang bekerja dari rumah. Hal tersebut karena adanya beberapa klaster penyebaran Covid-19 di beberapa perusahaan. Penelitian ini bertujuan untuk mengetahui bagaimana pengaruh psychological contract dan perceived organizational support terhadap employee safety behavior pada karyawan. Penelitian ini dilakukan pada 218 karyawan dengan usia 18-57 tahun yangs sedang bekerja secara langsung di kantor. Alat pengumpulan data berupa kuesioner Employee Safety Behavior, Psychological Contract Inventory, dan Perceived Organizational Support.Hasil penelitian dengan analisis regresi berganda menunjukkan bahwa psychological contract dan perceived organizational support secara bersamaan mempengaruhi employee safety behavior sebesar 27,9%. Psychological contract mampu memprediksi employee safety behavior sebesar nilai slope 0,1522. Perceived organizational support mampu memprediksi employee safety behavior sebesar nilai slope 0,0835. Tiga tipe psychological contract, yaitu relational, balance, dan transactional juga mampu memprediksi employee safety behavior.
Gambaran Postpartum Depression pada Figur Ayah
Authors: Reeven Natasya Vergyano , Cahyanti Ika Yuniar
Published: July 2021

Hampir 80% gangguan psikologis terjadi pada perempuan pasca melahirkan. Gangguan psikologis ini juga bisa dialami oleh suami pasca istrinya bersalin atau setelah lahirnya bayi. Salah satu masalah yang mungkin terjadi setelah kelahiran bayi untuk ayah adalah paternal post-natal depression atau postpartum depression. Maka dari itu penelitian ini bertujuan untuk menggali lebih jauh mengenai hal-hal yang dapat mengembangkan postpartum depression figur ayah dan apa saja yang dirasakan oleh figur ayah saat mengalami postpartum depression. Penelitian ini menggunakan pendekatan kualitatif dengan tipe penelitian Descriptive Phenomenological Analysis (DPA). Hasil penelitian menunjukkan bahwa hal yang dapat mengembangkan postpartum depression pada figur ayah antara lain; kurang tidur dan istirahat, merasa terputus dengan pasangan, adanya masalah perekonomian dan, adanya masalah perkerjaan. Figur ayah yang sedang mengalami postpartum depression juga merasakan hal-hal seperti; mudah marah, bekerja lebih banyak, kelelahan, konsentrasi yang buruk, perubahan nafsu makan, gejala fisik (kepala terasa berat, pusing dan, pegal-pegal), kemarahan dan ledakan.
Pengaruh Strategi Koping terhadap Stres Akademik Siswa SMA pada Masa Pandemi Covid-19
Authors: El Hakim Rizky , Herdiana Ike
Published: July 2021

Penelitian ini bertujuan untuk mengetahui pengaruh antara strategi koping terhadap stres akademik dalam masa pandemi Covid-19. Strategi koping diukur dengan BRIEF Cope dan stres akademik diukur dengan ESSA. Partisipan dalam penelitian ini adalah siswa SMA dengan rentang usia 15-18 tahun. Metode pengambilan data menggunakan metode kuantitatif dengan menggunakan survei berupa google form. Uji reliabilitas alat ukur BRIEF Cope sebesar 0.809 dan alat ukur ESSA sebesar 0.804. Analisis data menggunakan regresi linear sederhana menggunakan SPSS 25 for windows. Hasil pada penelitian ini ditemukan signifikansi sebesar 0.0000 di mana kurang dari 0.05 (p=0.000<0.05). Dari data tersebut dapat disimpulkan bahwa strategi koping berpengaruh secara signifikan terhadap stres akademik dalam masa pandemi Covid-19.
Korelasi antara Religiusitas dengan Kecemasan Bertanding pada Atlet Taekwondo
Authors: Wijayanti Iva Agustina , Hartini Nurul
Published: July 2021

Atlet Taekwondo sering mengalami kecemasan sebelum bertanding yang dapat mempengaruhi performanya. Penelitian ini bertujuan untuk mengetahui apakah terdapat korelasi antara religiusitas dengan kecemasan bertanding atlet Taekwondo. Penelitian ini merupakan penelitian kuantitatif dengan 176 partisipan atlet Taekwondo di Jawa Timur. Alat ukur yang digunakan dalam penelitian ini adalah skala religiusitas dan skala kecemasan bertanding. Hasil uji hipotesis menunjukkan terdapat hubungan antara religiusitas dengan kecemasan bertanding pada atlet Taekwondo dengan koefisien korelasi yang sedang dan negatif.
Assessment of socio-economic impacts of foot and mouth disease vaccination programmes in northern and central provinces Lao PDR (STANDZ Programme, 2017)
Authors: Nampanya Sonevilay , Khounsy Syseng , Windsor Peter
Published: July 2021

This study received financial support from the OIE SRR-SEA and the AusAID programmes called STANDZ, with some fieldwork support from the Australian Centre for International Agricultural Research (ACIAR projects AH/2012/068 and AH/2012/067).
Policy Brief: Socioeconomic impacts of FMD at the household level in Cambodia
Authors: Dy Cecilia
Published: July 2021

Funded by the Australian Government through the Stop Transboundary Animal Diseases and Zoonoses (STANDZ) Programme managed by the OIE SRR-SEA, the study was conducted by the Centre for Development Oriented Research in Agriculture and Livelihood Systems (CENTDOR) in 12 villages of Kampong Speu and Takeo provinces in September 2013.
Benchmark Document: Rabies and Rabies-Related Initiatives in ASEAN Member States
Authors:   OIE (World Organisation for Animal Health)
Published: July 2021

Proceedings of the Workshop on Relevant International Standards for Rabies, Chiang Mai, Thailand, June 2014
"Wake up, Sheeple!" Conspiracy theories and Māori during the COVID-19 pandemic
Authors:   Unitec Institute of Technology, Auckland, New Zealand, Rangiwai Byron
Published: July 2021

This situation report outlines some of the literature about conspiracy theories and its application to Māori during the COVID-19 pandemic. This report shows that while there are some psychological factors at play with regard to vulnerability to conspiracy theories, it appears that issues around power and powerlessness are most applicable to Māori, given our historical and political context. The report also advocates for a manaakitanga-informed approach to dealing with whānau who are disseminating conspiracy theories. A manaakitanga-informed approach is about continuing to treat whānau and friends with respect and supporting and nurturing relationships.
MONTE CARLO SIMULATION OF LIGHT SCATTERING IN HUMAN SKIN LAYERS BY SPATIAL PHOTOMETRY METHODS
Authors: Bezugla Natalia , Poluectov Serhii , Chornyi Vladyslav , Bezuglyi Mikhail
Published: July 2021

The ability to register and analyze the spatial distribution of light scattered within the full solid angle is the basis for the development and improvement of information-measuring systems and software and hardware complexes for problems of optical biomedical diagnostics. The greatest contribution to light scattering at non-invasive methods of biomedical research are made by the layers of human skin, affecting the depth of probing and the resolution of diagnostic systems. The significant individual variability of the optical properties of biological tissues does not allow practically (clinically) assessing their effect on the light scattering characteristics; therefore, the use of methods for modeling the optical radiation propagation in media in the measuring tools functioning context makes it possible to provide such a prognostic analysis. The goal of this work is a comparative evaluation of the results of the light propagation in human skin layers by Monte Carlo simulation using information-measuring systems of a biomedical photometer with ellipsoidal reflectors and a goniophotometer.

The Monte Carlo simulation results of light scattering in dermis and epidermis at a wavelength of 632.8 nm using spatial photometry methods and the "BT_Mod" software, as well as coordinates, direction, and statistical weight of photons, allows the ray-tracing in a biomedical photometer with ellipsoidal reflectors are presented in this work.

As a result of modeling, graphs of the dependence of optical coefficients (transmission T, diffuse reflection Rd, and absorption A) for the studied tissues of various thicknesses on the value of the scattering anisotropy factor were obtained, as well as photometric images of the second focal plane of ellipsoidal reflectors when receiving a scattering spot in reflected and transmitted light. Diagrams of the averaged scattering indicatrix at three thicknesses of the epidermis and dermis were obtained for a set of biophysically significant values of the scattering anisotropy factor, based on which the integral distribution of the photons statistical weight in diffuse scattered light was analyzed. A quantitative assessment of the illuminance level of images is carried out according to the zone analysis principles in photometry by ellipsoidal reflectors. The resulting graphs of the illuminance dependence the external and middle rings of photometric images in reflected and transmitted light.

The results of the research make it possible to analyze the spatial distribution of light scattered by the human skin layers (epidermis and dermis) within the full solid angle, which can be used in problems of optical dosimetry and medical imaging in diagnostic, endoscopic, and therapeutic methods of biophotonics.
Ontological model for data processing organization in information and communication networks
Authors: Globa Larysa , Gvozdetska Nataliia , Novogrudska Rina
Published: July 2021

The functioning of modern information and communication networks is impossible without data processing. With the emergence of new network services, the amount of information that needs to be processed increases, while the requirements to the data processing quality become more and more stringent. Therefore, the problem of designing and maintaining a scalable data processing system with a flexible quality of service management is becoming more and more important for a network operator. Such data processing systems have a complex internal structure with many interrelated parameters, which makes them difficult to analyze, manage, and expand. This study proposes to use an ontological model to store, represent, and manipulate the information in the operator’s data processing system. The ontological model allows to structure and systematize the data of an information processing system, and transparently reflects the relationships between the parameters of the system to simplify its analysis and scaling. The proposed ontology of a data processing system consists of three related subsystems. The paper describes the proposed ontological model and additionally analyzes the sources of information that needs to be processed in the information and communication network.
Models for development of the information-control complex of the enterprise
Authors: Volkova Violetta , Leonova Alla , Loginova Alexandra
Published: July 2021

This article provides a brief analysis of the development of concepts and terms used in the automation the processes of production and enterprise management. The conclusion is made about the preference of the term “information-control complex” (ICC) of the enterprise and the expediency of using various concepts in its creation. A model for the development of ICC is proposed, based on the definition of a system that implements the system-target approach, and the “engineering” concept.
Indonesian young consumers’ intention to donate using sharia fintech
Authors: Agustiningsih Maulida Dwi , Savitrah Ravika Mutiara , Lestari Putri Catur Ayu
Published: July 2021

Purpose: This research examines the effect of Perceived Ease of Use (PEOU), Perceived Usefulness (PU), religiosity, and company image on intention to use Sharia fintech for donation among Indonesian young consumers. Methodology: This study used a quantitative method with data collection techniques using an online questionnaire. Respondents filled out the questionnaire based on the Likert scale from 1 (strongly disagree) to 4 (strongly agree). The questionnaire was distributed and collected in less than one week, from 26th March 2021 to 29th March 2021. The ideal sample is five times higher than the number of indicators. The number of indicators is 20, so the ideal sample is 100 or more. This study has successfully collected 206 respondents. However, 13 respondents filled the same scale for all questions, so 193 is chosen as data analysis. The valid data were analyzed through Structural Equation Modeling Partial Least Square (SEM-PLS). Findings: This research shows the intention to use Sharia fintech to pay donations influenced by perceived usefulness (PU) and religiosity. In contrast, perceived ease of use (PEOU) and image are not positively related to the intention of using Sharia fintech for donation. Practical Implication: Religiosity and PU positively influence the interest in using Sharia fintech to pay donation. So, it is expected for fintech to comply with Sharia compliance and still comply with regulations from the OJK and DSN related to legality aspects. Furthermore, fintech startups and developers can build a more user-friendly application. Originality: This research is a replication-based model and is adapted from published research. The originality in this research is in the respondent who young generation. Intention to pay donation using fintech Sharia is the main focus to be researched. This primary focus has not been being researched beforehand.
Mardia’s Skewness and Kurtosis for Assessing Normality Assumption in Multivariate Regression
Authors: Wulandari Dewi , Sutrisno Sutrisno , Nirwana Muhammad Bayu
Published: July 2021

In Multivariate regression, we need to assess normality assumption simultaneously, not univariately. Univariate normal distribution does not guarantee the occurrence of multivariate normal distribution [1]. So we need to extend the assessment of univariate normal distribution into multivariate methods. One extended method is skewness and kurtosis as proposed by Mardia [2]. In this paper, we introduce the method, present the procedure of this method, and show how to examine normality assumption in multivariate regression study case using this method and expose the use of statistics software to help us in numerical calculation. Received February 20, 2021Revised March 8, 2021Accepted March 10, 2021
Solving Fuzzy Transportation Problem Using ASM Method and Zero Suffix Method
Authors: Aini Aurora Nur , Shodiqin Ali , Wulandari Dewi
Published: July 2021

The transportation problem is a special case for linear programming. Sometimes, the amount of demand and supply in transportation problems can change from time to time, and thus it is justified to classify the transportation problem as a fuzzy problem. This article seeks to solve the Fuzzy transportation problem by converting the fuzzy number into crisp number by ranking the fuzzy number. There are many applicable methods to solve linear transportation problems. This article discusses the method to solve transportation problems without requiring an initial feasible solution using the ASM method and the Zero Suffix method. The best solution for Fuzzy transportation problems with triangular sets using the ASM method was IDR 21,356,787.50, while the optimal solution using the Zero Suffix method was IDR 21,501,225.00. Received February 5, 2021Revised April 16, 2021Accepted April 22, 2021
Generalized Linear Mixed Model and Lasso Regularization for Statistical Downscaling
Authors: Hayati Ma'rufah - , Muslim Agus
Published: July 2021

Rainfall is one of the climatic elements in the tropics which is very influential in agriculture, especially in determining the growing season. Thus, proper rainfall modeling is needed to help determine the best time to start cultivating the soil. Rainfall modeling can be done using the Statistical Downscaling (SDS) method. SDS is a statistical model in the field of climatology to analyze the relationship between large-scale and small-scale climate data. This study uses response variables as a small-scale climate data in the form of rainfall and explanatory variables as a large-scale climate data of the General Circulation Model (GCM) output in the form of precipitation. However, the application of SDS modeling is known to cause several problems, including correlated and not stationary response variables, multi-dimensional explanatory variables, multicollinearity, and spatial correlation between grids. Modeling with some of these problems will cause violations of the assumptions of independence and multicollinearity. This research aims to model the rainfall in Indramayu Regency, West Java Province using a combined regression model between the Generalized linear mixed model (GLMM) and Least Absolute Selection and Shrinkage Operator (LASSO) regulation (L1). GLMM was used to deal with the problem of independence and Lasso Regulation (L1) was used to deal with multicollinearity problems or the number of explanatory variables that is greater than the response variable. Several models were formed to find the best model for modeling rainfall. This research used the GLMM-Lasso model with Normal spread compared to the GLMM model with Gamma response (Gamma-GLMM). The results showed that the RMSE and R-square GLMM-Lasso models were smaller than the Gamma-GLMM models. Thus, it can be concluded that GLMM-Lasso model can be used to model statistical downscaling and solve the previously mentioned constraints. Received February 10, 2021Revised March 29, 2021Accepted March 29, 2021
An Emergency Management Doctrine
Authors: Redman David
Published: July 2021

Emergency Management has not developed in a cohesive or comprehensive manner. Differing terms are used to name identical concepts. A standard comprehensive doctrine for the important development of emergency management is needed. In this paper I explain a doctrinal framework for emergency management. The paper states a clear identification of the five dimensions, and each of their components, necessary to the informed practice of Emergency Management. Although emergencies vary in cause and severity, the process of Emergency Management necessary for optimal handling of these emergencies varies little. The “All Hazards Approach” to emergency management establishes and reinforces commonality in processes, procedures, planning templates and organizational structure. The three types of agencies associated with emergency management activities are discussed, including the subject matter agency, coordinating agency, and supporting agency. The four critical functions of emergency management are detailed, and include mitigation, preparedness, response, and recovery, often all carried out concurrently. The ten activities, and seven resources of emergency management are highlighted. There are many ways to represent the integration of these five dimensions, to ensure completeness, while ensuring clarity; the two most common are described. When experts in Emergency Management follow the doctrine, they can coordinate all those involved to be sure that all aspects of any hazard are considered, and that all organizations/agencies, functions, activities, and resources of Emergency Management are coordinated and optimally active. Following this process is the only way to ensure the best outcomes from any emergency.
White Hole Cosmology - One Best Alternative for Standard Cosmology
Authors: Satya Seshavatharam U V , Lakshminarayana S
Published: July 2021

By modifying the basic definition of cosmic red shift, considering ‘speed of light’ as an absolute cosmic expansion rate and adopting ‘Planck mass’ as the basic seed of the observed large scale universe, it is certainly possible to review and revise the basic picture of ‘standard cosmology’ and in near future, a perfect model of ‘white hole cosmology’ can be developed. In this context we have developed five assumptions. First three assumptions are based on ‘time reversed’ black holes and seem to be well connected with General theory of relativity as well as Quantum mechanics. 4th and 5th assumptions are helpful in understanding current galactic dark matter and flat rotation speeds. It may be noted that, considering our first three assumptions and considering the Planck Legacy 2018 data’s enhanced lensing amplitude in cosmic microwave background power spectra - conceptually, a closed universe having a positive curvature seems to be a best fit for the observed universe. With reference to our recent publication [26], for clarity on the subject, in this short communication, we make an attempt to review and explain our proposed assumptions at fundamental level. Our aim is to see that, professional and non-professional cosmologists must understand the basics of workable quantum cosmology.
Consumer Behaviour in Search of a Circular Economy
Authors: Seguí-Alcaraz Antoni
Published: July 2021

The circular economy is an alternative paradigm whose purpose is the protection of the environment, the prevention of pollution and the growth of economic prosperity. This paper covers research which is qualitative in nature but has an exploratory scope through a documentary review, and includes proposals to promote sustainability. A more responsible consumption or use can be achieved by educating the user or consumer to return the product to production or repair through a collection service by way of reverse logistics (recovery of materials), followed by recycling or reuse of the product or its components to then offer these as recovered or recycled products on the market.
Post Vaccination Titers of Serum Anti-Diphtheria in Indonesian Young and Middle-Aged Adults
Authors: Soegiarto Gatot , Novritasari Diksi , Baskoro Ari , Fetarayani Deasy , Nurani Wita Kartika
Published: July 2021

Objective: This study aimed to evaluate the antibody responses in two adult age groups after diphtheria vaccination.
Study Design: An observational analytic study was carried out to determine the difference in serum titer of anti-diphtheria antibody.
Methods: Serum antibody titers were measured just before and 3 months after injection of Diphtheria toxoid vaccine. Vaccine was given to two adult age groups of health care personnel in hospital: the young (< 40 years) and the middle-aged (≥ 40 years). Data were analyzed using the Mann-Whitney test (p < 0.05).
Results: Significant increase in serum anti-diphtheria antibody titers were recorded after vaccination in both age group (p < 0.001 in young adult and p = 0.001 in middle-aged adult, respectively). There were no substantial differences between the two groups in terms of antibody titer before vaccination (p = 0.741), 3 months after vaccination (p = 0.317) and in the increase of antibody titer (p = 0.479).
Conclusions: This study showed that there was no significant difference in the increase of anti-diphtheria antibody titers between the two age groups, proving that both young and middle-aged adults had an equal immune response to a given diphtheria vaccine.
Active Components of Commonly Prescribed Medicines Affect Influenza a Virus-Host Cell Interaction: A Pilot Study
Authors: Ianevski Aleksandr , Yao Rouan , Zusinaite Eva , Lysvand Hilde , Oksenych Valentyn , Tenson Tanel , Bjørås Magnar , Kainov Denis
Published: July 2021

Background: Every year, millions of people are hospitalized, and thousands die from influenza A virus (FLUAV) infection. Most cases of hospitalizations and death occur among elderly. Many of these elderly patients are reliant on medical treatment of underlying chronic diseases, such as arthritis, diabetes, and hypertension. We hypothesized that the commonly prescribed medicines for treatment of underlying chronic diseases can affect host responses to FLUAV infection, and thus contribute to morbidity and mortality associated with influenza. Therefore, the aim of this study was to examine whether commonly prescribed medicines could affect host responses to virus infection in vitro. Methods: We first identified 45 active compounds of medicines commonly prescribed in Central Norway. Then we constructed a drug-target interaction network and identified potential implication of these interactions for FLUAV-host cell interplay. Finally, we tested the effect of 45 drugs on viability, transcription and metabolism of mock- and A/WSN/33(H1N1)-infected human retinal pigment epithelial (RPE) cells. Results: In silico drug-target interaction analysis revealed that many drugs, such as acetylsalicylic acid, atorvastatin, candesartan, and hydroxocobalam, could target and modulate FLUAV-host cell interaction. In vitro experiments showed that these and other compounds at non-cytotoxic concentrations differently affected transcription and metabolism of mock- and FLUAV-infected cells. Conclusion: Many commonly prescribed drugs modulate FLUAV-host cell interactions in vitro and therefore could affect their interplay in vivo, thus, contributing to morbidity and mortality of patients with influenza virus infections.
A Review on Mental Stress Assessment Methods Using EEG Signals
Authors: Katmah Rateb , Al-Shargie Fares , Tariq Usman , Babiloni Fabio , Al-Mughairbi Fadwa , Al-Nashash Hasan
Published: July 2021

Mental stress is one of the serious factors that lead to many health problems. Scientists and physicians have developed various tools to assess the level of mental stress in its early stages. Several neuroimaging tools have been proposed in the literature to assess mental stress in the workplace. Electroencephalogram (EEG) signal is one important candidate because it contain rich information about mental states and condition. In this paper, we review the existing EEG signal analysis methods on the assessment of mental stress. The review highlights the critical differences between the research findings and argues that variations of the data analysis methods contribute to several contradictory results. The variations in results could be due to various factors including lack of standardized protocol, the brain region of interest, stressor type, experiment duration, proper EEG processing, feature extraction mechanism, and type of classifier. Therefore, the significant part related to mental stress recognition is choosing the most appropriate features. In particular, a complex and diverse range of EEG features, including time-varying, functional, and dynamic brain connections, requires integration of various methods to understand their associations with mental stress. Over this, the review suggests fusing the cortical activations with the connectivity network measures and deep learning approaches to improve the accuracy of mental stress level assessment.
Remote Sensing by using Unsupervised Algorithm
Authors: Saleem Afshan
Published: July 2021

Hyper-spectral images contain a wide range of bands or wavelength due to which they are rich in information. These images are taken by specialized sensors and then investigated through various supervised or unsupervised learning algorithms. Data that is acquired by hyperspectral image contain plenty of information hence it can be used in applications where materials can be analyzed keenly, even the smallest difference can be detected on the basis of spectral signature i.e. remote sensing applications. In order to retrieve information about the concerned area, the image has to be grouped in different segments and can be analyzed conveniently. In this way, only concerned portions of the image can be studied that have relevant information and the rest that do not have any information can be discarded. Image segmentation can be done to assort all pixels in groups. Many methods can be used for this purpose but in this paper, we discussed k means clustering to assort data in AVIRIS cuprite, AVIRIS Muffet and Rosis Pavia in order to calculate the number of regions in each image and retrieved information of 1st, 10th and100th band. Clustering has been done easily and efficiently as k means algorithm is the easiest approach to retrieve information.
A Novel High-Q Dual Mass MEMS Tuning Fork Gyroscope Based On 3D Wafer-Level Packaging
Authors: Xu Pengfei , He Yurong , Wei Zhenyu , Jia Lu , Han Guowei , Si Chaowei , Ning Jin , Yang Fuhua
Published: July 2021

Tuning fork gyroscopes (TFGs) are promising for potential high-precision applications. This work proposes and experimentally demonstrates a novel high-Q dual mass tuning fork microelectro-mechanical system (MEMS) gyroscope utilizing three-dimensional (3D) packaging techniques. Except for two symmetrically-decoupled proof masses (PM) with synchronization structures, a symmetrically-decoupled lever structure is designed to force the antiparallel, antiphase drive-mode motion and basically eliminate the low-frequency spurious modes. The thermoelastic damping (TED) and anchor loss are greatly reduced by the linearly-coupled, momentum- and torque-balanced antiphase sense mode. Besides, a novel 3D packaging technique is used to realize high Q-factors. A composite substrate encapsulation cap, fabricated by through-silicon-via (TSV) and glass-in-silicon (GIS) reflow processes, is anodically bonded to the sensing structures at wafer scales. A self-developed control circuit is adopted to realize loop control and characterize gyro-scope performances. It is shown that a high-reliability electrical connection together with a high-air-impermeability package can be fulfilled with this 3D packaging technique. Furthermore, the Q-factors of the drive and sense modes reach up to 51947 and 49249, respectively. This TFG realizes a wide measurement range of ±1800° /s and a high resolution of 0.1° /s with a scale-factor nonlinearity 720 ppm after automatic mode-matching. Besides, the long-term zero-rate output (ZRO) drift can be effectively suppressed by temperature compensation, inducing a small angle random walk (ARW) of 0.923°/√h and a low bias instability (BI) of 9.270°/h.
Bovine Colostrum for Human Consumption - Improving Microbial Quality and Maintaining Bioactive Characteristics through Processing
Authors: Fasse Sylvia , Alarinta Jarmo , Frahm Björn , Wirtanen Gun
Published: July 2021

The purpose of bovine colostrum, being the milk secreted by a cow after giving birth, is to transfer passive immunity to the calf. The calves have an insufficient immune system as they lack immunoglobulins (Igs). Subsequently, the supply of good quality bovine colostrum is obligatory. The quality of colostrum is classified by low bacterial counts and adequate Ig concentrations. Bacterial contamination can contain a variety of human pathogens or high counts of spoilage bacteria, which becomes more challenging with emerging use of bovine colostrum as food and food supplements. There is also a growing risk for the spread of zoonotic diseases originating from bovines. For this reason, processing based on heat treatment or other feasible techniques are required. This review provides an overview of literature on the microbial quality of bovine colostrum and processing methods to improve its microbial quality and keep its nutritional values as food. The highlights of this review are: high quality colostrum is a valuable raw material in food products and supplements, the microbial safety of bovine colostrum is increased using appropriate processing, suitable effective heat-treatment, which does not destroy the high nutrition value of colostrum, the heat treatment processes are cost-effective compared to other methods, and heat treatment can be performed in both small- and large-scale production
 Current Research on Microbe-Plastic Interactions in the Marine Environment
Authors: Latva Mira , Zadjelovic Vinko , Wright Robyn
Published: July 2021

The microbial colonisers of plastics – the ‘plastisphere’ – can affect all interactions that plastics have with their surrounding environments. While only specifically characterised within the last 10 years, at the beginning of 2021 there were 140 primary research and 65 review articles that investigate at least one aspect of the plastisphere. We gathered information on the locations and methodologies used by each of the primary research articles, highlighting several aspects of plastisphere research that remain understudied: (i) the non-bacterial plastisphere constituents; (ii) the mechanisms used to degrade plastics by marine isolates or communities; (iii) the capacity for plastisphere members to be pathogenic or carry antimicrobial resistance genes; and (iv) meta-OMIC characterisations of the plastisphere. We have also summarised the topics covered by the existing plastisphere review articles, identifying areas that have received less attention to date – most of which are in line with the areas that have fewer primary research articles. Therefore, in addition to providing an overview of some fundamental topics such as biodegradation and community assembly, we discuss the importance of eukaryotes in shaping the plastisphere, potential pathogens carried by plastics and the impact of the plastisphere on plastic transport and biogeochemical cycling. Finally, we summarise the future directions suggested by the reviews that we have evaluated and suggest other key research questions.
Sequencing and Chromosome-Scale Assembly of Plant Genomes, Brassica rapa as a Use Case
Authors: Istace Benjamin , Belser Caroline , Falentin Cyril , Labadie Karine , Boideau Franz , Deniot Gwenaëlle , Maillet Loeiz , Cruaud Corinne , Bertrand Laurie , Chèvre Anne-Marie , Wincker Patrick , Rousseau-Gueutin Mathieu , Aury Jean-Marc
Published: July 2021

With the rise of long-read sequencers and long-range technologies, delivering high-quality plant genome assemblies is no longer reserved to large consortia. Indeed, sequencing techniques but also computer algorithms have reached a point where the reconstruction of assemblies at the chromosome-scale is now feasible at the laboratory scale. Current technologies, and especially long-range technologies, are numerous and selecting the most promising one for the genome of interest is crucial to obtain optimal results. In this study, we resequenced the genome of the yellow sarson, Brassica rapa cv. Z1, using the Oxford Nanopore PromethION sequencer and assembled the sequenced data using current assemblers. To reconstruct complete chromosomes, we used and compared three long-range techniques, optical mapping, Omni-C and Pore-C sequencing libraries commercialized by Bionano Genomics, Dovetail Genomics and Oxford Nanopore Technologies respectively, or a combination of the three, in order to evaluate the capability of each technology.
Characterization and Investigation of Stigmasterol Isolated from Rodent Tuber Mutant Plant (Typhonium flagelliforme), Its Molecular Docking as Anticancer on MF-7 Cells
Authors: Sianipar Nesti Fronika , Hadisaputri Yuni Elsa , Assidqi Khoirunnisa , Salam Supriatno , Yusuf Muhammad , Destiarani Wanda , Purnamaningsih Ragapadmi , So Idris Gautama
Published: July 2021

Typhonium flagelliforme is an Indonesian herbal plant used and applied traditionally to treat cancer diseases. Gamma rays have irradiated rodent tuber mutant plant at six doses gray to in-crease the chemical compounds of anticancer activity. The effect of isolated compounds from ro-dent tuber mutant plants has never been studied and published yet. Our study unveiled the poten-tial of stigmasterol as a remarkable cytotoxic agent and the significant contribution of NMR spectroscopy, IR, Mass spectra, QTOF MS towards the isolation and identification of this anti-cancer agent. Stigmasterol was isolated from T. flagelliforme mutant plant. Stigmasterol was more effective against MCF-7 cells with an IC50 value of 0.1623 µM than Cisplatin with IC50 value 13.2 µM. It is the most potential and active fraction in the human breast cancer cell line. The mo-lecular docking study analyzed the chemical profile of stigmasterol to confirm the receptor in agonist binding sites. The prediction of the toxicity of stigmasterol compounds using in silico and analysis of its interaction with the receptor can act as a competitive regulator with a high-affinity binding site on FXR. Stigmasterol has potential as a candidate for an anticancer drug that pro-moting further clinical action.
Social Determinants and Access to Water-Sanitation-Hygiene as Dominant Risk Factors of Stunting among Under-five Children in Rural Area of East Indonesia
Authors: Suciyanti Dini , Wangge Grace , Iskandar Elisa , Fahmida Umi , Supali Taniawati
Published: July 2021

(1) Background: Stunting remains a challenge in Indonesia, where 30.8% of under-five children are stunted and may never reach full potential height and cognitive function. We aimed to investigate the risk factors of stunting in Nangapanda subdistrict, East Nusa Tenggara; (2) Methods: The design was cross-sectional study located in rural area as part of PINTERMIDI UI project. We collected quantitative data on social determinants, weight, height, hemoglobin, ferritin, serum zinc, CRP, worm infection, history of deworming, co-morbidity, food security, and nutrient intake; (3) Results: A total of 196 under-five children included and 74% households were food insecure. The prevalence of stunting was 29.9% in this population (31.8% worm infection, 30.3% iron deficiency, and 28.1% zinc deficiency). Multivariate analysis showed household with 5-8 members (AOR 3.076; 95% CI 1.132 – 8.356) and unsafe drinking water (AOR 1.702; 95% CI 0.825 – 3.512) were significant independent risk factors of stunting after adjusted by child’s gender, father’s occupation, caregiver’s education, monthly expenses, sanitary facilities, and food security status; (4) Conclusions: The number of household members is the only independent risk factor of stunting among children age 24-59 months in rural area of Eastern Indonesia. Development of nutrition sensitive intervention and promotion of family planning are needed in order to increase adequate child’s care and feeding practices in rural area of Eastern Indonesia.