bluuebunny/crossref_metadata_2025 huggingface dataset:
SHIFTING DAKWAH METHODS TO MATCH MEDIA TECHNOLOGY TRANSFORMATION
Authors: Murodi Murodi , Muhtadi Muhtadi , Kamarusdiana Kamarusdiana , Darajat Deden Mauli
Published: October 2023

The advancement of communication technology has sophisticated all aspects of human lives, including Islamic dakwah (preaching) activities, for Muslim communities in Indonesia. As a result, several Islamic organizations in Indonesia try hard to match this advancement by using digital media for their dakwah to reach larger audiences and youth media-savvy generation. This article, by focusing on three Islamic organizations in Indonesia (Nahdlatul Ulama known as NU, Muhammadiyah, and Al Washliyah), addresses the question of how their dakwah activities and strategies respond to advancement of communication technology on a social media platform, YouTube. This study employs digital etnography by collecting the data from YouTube accounts affiliated to the three organizations. By using content analysis for data interpretations, this article finds that each Islamic organization has its own characteristics of virtual dakwah activities and strategies. NU focuses on the teachings of ahlussunnah wal jamaah and religious tolerance, Muhammadiyah emphasizes charity and business, while Al Washliyah aims to strengthen the faith and morals of the society. In addition, their virtual dakwah activities are also in the context of countering transnational Islamic movements that utilize social media for their dakwah.
Detection and Characterisation of Endosymbiont Wolbachia (Rickettsiales: Anaplasmataceae) in Elaeidobius kamerunicus (Coleoptera: Curculionoidea), Pollinating Agent of Oil Palm, and Its Relationships between Populations
Authors: Mohd Nur Azad Rushidi  , Muhammad Luqman Hakim Azhari  , Salmah Yaakop  , Izfa Riza Hazmi
Published: October 2023

Elaeidobius kamerunicus is the most efficient pollinator of oil palm. Wolbachia is an endosymbiotic bacteria associated with E. kamerunicus that has a potential to affect the fecundity and fitness of the E. kamerunicus. Despite their importance, no studies have been conducted to investigate its prevalence in E. kamerunicus. The objectives of this study were to detect and characterize Wolbachia in E. kamerunicus and determine the phylogenetic relationship of Wolbachia strains that infect E. kamerunicus by using three genetic markers namely Filamenting temperature-sensitive mutant Z (ftsZ), Chaperonin folding protein (groEL), and Citrate Synthase Coding Gene (gltA). DNA was extracted from 210 individuals of E. kamerunicus and the Wolbachia infections were detected using the wsp marker. The infected samples (n = 25, 11.9%) were then sequenced using ftsZ, gltA and groEL markers for strain characterisation. In this study, a combination of four markers was used to construct the phylogeny of Wolbachia. Similar topologies were shown in all trees; Neighbour-Joining (NJ), Maximum Parsimony (MP), and Bayesian Inference (BI), which showed the mixing of individuals that harbor Wolbachia between populations. Interestingly, Wolbachia on E. kamerunicus was claded together with the species Drosophila simulans under supergroup B. This is the first report of Wolbachia infecting E. kamerunicus which is very valuable and significant as one of the parameters to evaluate the quality of the E. kamerunicus population for sustaining its function as a great pollinator for oil palm.
Penerapan PIECES Framework dalam Analisis Kepuasan Pengguna F-Learn UKSW saat Pandemi Covid-19
Authors: Pangentasan Eric Bintang , Maria Evi
Published: October 2023

This research aimed to analyze the satisfaction level of Satya Wacana Christian University (SWCU) F-Learn users in daring learning during the Covid-19 pandemic using the PIECES framework. This method was chosen because it has proven its effectiveness in evaluating system user satisfaction in identifying problems, opportunities and development directions for the system being developed. This research analyzes six variables: performance, information and data, economics, control and security, efficiency, and service. The research sample for this was SWCU students. The total sample is 160 respondents. Data was measured using a Likert scale. The results of testing on the variables performance, information and data, control and security, efficiency, and service, users feel satisfied, while testing the economics variables, F-Learn users feel very satisfied. Additional testing on the performance of F-Learn confirmed that F-Learn has an excellent performance in terms of the speed of responding to commands, as well as in terms of control F-Learn is in category B (good). Overall, the average level of satisfaction of F-Learn users is 4.02. It means that overall F-Learn users, namely SWCU students, were satisfied when using F-Learn during the implementation of the daring learning policy during the pandemic.
Integrated reporting and investor returns of deposit money banks listed on the Nigerian exchange
Authors: Janet Owolabi Oluwasikemi , Ayodeji Owolabi Babatunde , Otekunrin Adegbola , D. Kwarbai Jerry
Published: October 2023

The introduction of integrated reporting aims to solve the drawbacks of corporate reporting practices and make companies accountable to their immediate environment, including other stakeholders affected by company operations in generating returns to investors. This study investigated whether there is a statistically significant relationship between integrated reporting and investor returns. Ex post facto research design was used. Ten (10) Deposit Money Banks were sampled using a purposive sampling technique. Data were extracted from the annual reports of the selected banks, and the unweighted method of content analysis was used to extract integrated reporting data with the checklist from the International Integrated Reporting Framework (IIRF, 2021). The integrated reporting disclosure index was used as a proxy for integrated reporting. Proxies used for investor returns are the price-earnings ratio, dividend per share, and market price per share. The results indicate that the integrated reporting disclosure index is positively related with the price-earnings ratio, dividend per share and market price per share, with coefficients of 56.3403, 1.5240 and 16.6122, respectively, for the three (3) models. This implies that an increase in practicing integrated reporting will increase market price per share, dividend per share and price-earnings ratio. Likewise, the integrated reporting disclosure index has a significant effect on dividend per share and price-earnings ratio with p-values 0.000 and 0.001, respectively. However, the disclosure index has an insignificant effect on market price per share, with a p-value 0.184. This study concluded there is a statistically significant relationship between integrated reporting and investor returns.
AcknowledgmentContributions of people who add to the success of this research are hereby recognized. Thanks for your contributions.
AN ICF CORE SET BASED INVESTIGATION OF THE EFFECTS OF GROSS MOTOR FUNCTIONS ON HEALTH IN CHILDREN WITH CEREBRAL PALSY
Authors: Üneş Sefa , Coşkun Gürsoy
Published: October 2023

Purpose: The Gross Motor Function Measure (GMFM) is commonly used to assess gross motor functions in children with cerebral palsy (CP). Our aim was to investigate the relationship between gross motor function and health status in children with CP based on clinical types and functional levels.
Methods: This cross-sectional study included 75 children with CP (mean age ± SD 7.59 ±3.86 years). The 66-item Gross Motor Function Measure (GMFM-66) was used to measure the gross motor functions of children. The International Classification of Functioning, Disability and Health (ICF) CP Core Set was used to assess the general health status of children including body functions and structures, activity and participation, and environmental factors for obtaining a holistic framework.
Results: Of the children, 61 (81.3%) were spastic and 14 (18.7%) were dyskinetic. Children were divided into 3 groups based on the Gross Motor Function Classification System (GMFCS) level as mild (levels 1-2, n=28), moderate (level 3, n=16), and severe (levels 4-5, n=31). The GMFM-66 had moderate to strong correlations with body functions and structures (r=-0.811, p
Role of Dental Chairside Assistant in Prosthodontics
Authors: Sikka Neha
Published: October 2023

The importance of understanding the various procedures in a proper
sequence is very vital to the assistance expected from a dental chairside assistant.
Emphasis has been laid on fixed and removable prosthodontics, and denture making.
The different procedures are explained in a step-by-step manner.
Effect of inoculum size and agitation speed on bioethanol production by Kluyveromyces marxianus using sugarcane molasse
Authors: Rizky Permatasari Vitta , Mardiyah Amilatun , Suprayogi Suprayogi , Hidayat Nur
Published: October 2023

In this study, bioethanol production was carried out at a high temperature (40 0C) using Kluyveromyces marxianus in sugar cane molasses media with a study of combinations in fermentation conditions in the form of inoculum concentration and agitation speed. This study investigated the effect of inoculum concentration and agitation speed on bioethanol production. This study used a factorial randomized block design with two factors: inoculum concentration (with levels of 5%, 10%, and 15% (v/v)) and agitation speed (with levels of 100, 150, and 200 rpm). The results showed that the interaction of inoculum concentration and agitation speed significantly decreased pH, total sugar consumption, total reducing sugar (TRS) consumption, and total dissolved solids (TDS). However, an increase in cell optical density (OD), ethanol concentration, and ethanol yields was evident from all treatments. The best treatment was from a combination of 10% inoculum with an agitation speed of 150 rpm, giving the highest ethanol concentration of 3.44% and ethanol yields of 89.91%.
Analysis of supply chain institutional efficiency performance in potato chips SMEs clusters after Covid-19 pandemic
Authors: Asmaul Mustaniroh Siti , Wahyu Pangesti Sri , Septifani Riska
Published: October 2023

The pandemic conditions in 2020-2021 resulted in problems for the potato chip micro, small, and medium-enterprise (SMEs) cluster, including an imbalance in sales numbers with the resulting production due to a drastic decline in demand, marketing, and business performance. The first trimester of 2022 shows an increased demand for potato chips. Therefore, efficient performance is needed to support production recovery and business performance by increasing supply chain institutional efficiency. This research aimed to analyze the efficiency performance value and the sub-variables input with the most influence on supplier efficiency performance. This research used the Data Envelopment Analysis (DEA) model CCR-I Dual with input sub-variables (i.e., cash-to-cash-cycle-time, lead time, and flexibility) and output sub-variables (i.e., percentage of conformance quality standards, order fulfilment, and delivery performance). The analysis was carried out on the flow of suppliers to potato chip MSMEs. The results show that 8 decision-making units (DMUs) were inefficient (55.56% and 33.33%), and 1 DMU was in efficient condition (100% green), namely is DMU 6. The results also show that the input sub-variable with the most influence on supplier efficiency performance was the flexibility of sending raw materials followed by cash-to-cash-cycle-time.
Peningkatan Bobot Badan Burung Puyuh (Coturnix-coturnix japonica) Melalui Suplementasi IGP Herbal
Authors: Amelia Mila , Utomo Budi , Andriani Novi , Mahardika Tania Agustina Putri , Ngazizah Siti Nailil , Irawan Hebi , Tanjungsari Ardina , Yuniati Erna
Published: October 2023

Tujuan dilaksanakannya penelitian ini untuk mengidentifikasi efektivitas penggunaan bahan alami dalam bentuk herbal sebagai Immunbooster Growth Promoter (IGP) yang dicampur dengan pakan burung puyuh (Coturnix-coturnix japonica) sebagai pengganti antibiotik sintetis dalam meningkatkan pertambahan bobot badan (PBB). Penelitian dilaksanakan di Omah Puyuh Farm yang terletak di Desa Plosorejo, Kecamatan Gampengrejo, Kabupaten Kediri, Jawa Timur. Penelitian ini dilaksanakan melalui percobaan in vivo menggunakan 100 ekor burung puyuh betina dengan umur 15 hari. Lima perlakuan diaplikasikan dengan masing-masing empat ulangan yaitu P0 = Antibiotic.Growth Promoter (AGP) 0,3 gram/kg pakan; P1, P2, P3, dan P4 merupakan perlakuan penambahan IGP sebesar 0,5; 1; 1,5 dan 2 gram/kg pakan, secara berturut-turut. Kinerja produksi burung puyuh yang diukur dalam penelitian ini adalah Pertambahan Bobot Badan (PBB). Studi ini menghasilkan rekomendasi penggunaan IGP herbal yang paling efektif adalah sebesar 2 gram/kg dalam pakan burung puyuh untuk meningkatkan bobot badan terbaik.
Pengaruh Proses Transnasionalisasi Coffehouse Company “Starbucks Coffee” Terhadap Budaya Tradisional Minum Teh di China
Authors:   Universitas Brawijaya, Wahyuwanti Rena Anisah
Published: October 2023

The phenomenon of globalization has dominated various aspects of human life today. Globalization has changed the patterns of human interaction and activities to be faster, more modern, and more innovative. In the economic aspect, globalization has led to the process of economic transnationalism, where TNCs and MNCs have become key players in the global flow of goods and services in various sectors. These transnational corporations are able to create new, modern, and exclusive consumerist trends that attract everyone and make them want to follow them. This is what happened to the trend of coffee drinking, which has now become a global coffee culture, one of which is pioneered by Starbucks Coffee Company. The presence of Starbucks Coffee Company in various countries around the world, including China, is predicted to be a challenge to the existence of local culture, such as the traditional culture of drinking tea in China, which has been a long-standing tradition. This paper will analyze the influence of Starbucks on the traditional culture of drinking tea in China using the concept of Globalization and Three H Scenario. The results of the analysis show that Starbucks has been able to internalize the modern values of coffee drinking culture and change the perception of the Chinese people, who previously only oriented themselves towards tea, to now consume coffee, and gradually Starbucks can displace the traditional culture of drinking tea in China.
Protagonismo como valor estruturante: Enfrentando a invisibilidade infantojuvenil na escola
Authors: Fernandes Senna Pires Sergio , Uchoa Branco Angela
Published: October 2023

Neste artigo, explicitamos os aspectos teóricos relevantes à promoção do protagonismo infantojuvenil no ambiente escolar, no sentido de enfrentar a invisibilidade a partir da infância e, também, facilitar o seu desenvolvimento. Partimos da abordagem da Psicologia Cultural, de orientação semiótica, para explicar a conceituação de protagonismo infantojuvenil. Este é compreendido como o resultado de crenças, valores e práticas sociais que promovem a real participação na construção, e em possíveis mudanças, das práticas sociais e pedagógicas do ecossistema escolar, por meio do compartilhamento de tarefas e responsabilidades com os adultos, segundo a capacidade de todos os envolvidos. De acordo com uma orientação para o protagonismo, os sujeitos podem desenvolver, através das práticas sociais e pedagógicas, a agência e a responsabilidade, o que permite a construção coletiva de crenças e valores pró-sociais. Argumentamos sobre como a criação de um ambiente dialógico pode se contrapor às crenças na incapacidade e incompletude infantojuvenil, as quais estão na base da invisibilidade desse grupo etário. Conclui-se que o protagonismo infantojuvenil, como valor fundamental, é necessário para promover práticas culturais e pedagógicas que considerem as vozes e sugestões no contexto educativo. Tais práticas, por sua vez, aumentarão a motivação, agência, autonomia e a capacidade de reflexão, com impacto positivo nas relações e experiências de ensino-aprendizagem.
Protecting Children in 'Gender Critical' Rhetoric and Strategy: Regulating Childhood for Cisgender Outcomes
Authors: Amery Fran
Published: October 2023

While academic works on the ‘gender critical’ movement have generally focused on its advocacy and claims regarding womanhood and adult women, the movement also heavily targets children. This article contributes a case study of ‘gender critical’ activism around children in the United Kingdom, which is strongly committed to the belief that children cannot be ‘genuinely’ trans. Building on the argument that anti-trans movements seek to undermine the institutions that allow for trans people’s social existence as trans people, it demonstrates that ‘gender critical’ groups seek to intervene in the institutions that regulate childhood in order to inhibit trans children’s ability to both understand themselves and exist socially as trans children. This requires interventions targeting education, specifically for the removal of trans-inclusive guidance and teaching resources. However, it also requires interventions into the family and the recruitment of parents as ‘gender coaches’ best placed to encourage desistance.
Meningkatkan Performa Fuzzy Clustering dengan Principal Component Analysis
Authors: Eliyanto Joko , Sugiyarto Sugiyarto
Published: October 2023

Big data adalah data yang memiliki volume yang besar, jenis data yang beragam serta produksi data yang sangat cepat. Berbagai metode matematika dan statistika dikembangkan untuk menganalisis big data ini. Jumlah data yang begitu besar dan kompleks menjadi salah satu tantangan dalam analisis big data ini. Reduksi dimensi adalah pengurangan dimensi suatu dataset dengan pertimbangan bahwa informasi-informasi penting tetap dipertahankan. Reduksi dimensi dapat digunakan untuk penyederhanaan komputasi dan visualisasi big data . Dengan dimensi yang lebih rendah hasil analisis pada data hasil reduksi masih menghasilkan kesimpulan yang relevan. Metode yang popular digunakan untuk reduksi dimensi adalah PCA. PCA adalah metode reduksi dimensi didasarkan pada komponen utama yang diperoleh dari kombinasi linear data dengan vector eigen matriks covarian terbaiknya. Penerapan PCA pada klasterisasi Fuzzy C-Means terbukti menurunkan nilai fungsi objektif hingga tersisa 0.092903%, waktu komputasi yang tersisa sebesar 63.09063%. Di saat yang sama, kualitas klaster yang dihasilkan masih bisa dipertahankan dengan nilai di atas 90%.
Eksistensi Aplikasi Photomath dalam Pembelajaran Matematika pada Siswa Sekolah Menengah Atas (SMA)
Authors: Avanda Assabiq Yudhy , Putri Salma Almira Wahyu
Published: October 2023

Matematika merupakan pelajaran yang wajib ditempuh untuk siswa Sekolah Menengah Atas (SMA). Pembelajaran matematika di SMA menjadi pelajaran yang cukup sulit untuk beberapa siswa. Terdapat aplikasi di smartphone dalam menyelesaikan soal dalam matematika. Sehingga dengan aplikasi tersebut siswa tidak perlu menghitung soal yang sedang dihadapi, melainkan langsung menemukan jawaban dari soal yang akan dicari. Namun, tidak semua soal matematika dapat diselesaikan dengan menggunakan aplikasi photomath dan jawaban yang ada tidak pasti lengkap dengan prosesnya. Penelitian ini bertujuan untuk melihat eksistensi dari aplikasi photomath dalam proses pembelajaran matematika dan melihat dampak yang terjadi ketika soal matematika hanya diselesaikan dengan menggunakan aplikasi tersebut. Penelitian ini merupakan penelitian kualitatif yang berjenis deskriptif. Partisipan penelitian ini adalah 59 siswa di beberapa sekolah dari SMA Negeri 9 Yogyakarta, SMA Negeri 10 Yogyakarta, SMA Negeri 11 Yogyakarta, SMA Muhammadiyah Wonosobo, SMA, Singapore International School Semarang, dan SMA Santa Aloysius 1 Bandung. Data dikumpulkan dengan angket yang berisi tentang survei penggunaan aplikasi photomath pada pembelajaran matematika di SMA. Analisis data dilakukan dengan Bogdan & Biklen, dengan langkah reduksi, klasifikasi dengan mencari hubungan antara tema, dan penyimpulan. Hasil penelitian menunjukkan bahwa 89,8 % siswa sudah mengetahui aplikasi photomath, 66,1 % telah menggunakan aplikasi photomath, 79,7 % siswa mengatakan bahwa aplikasi photomath tidak mengganggu proses pembelajaran matematika dan rata-rata menganggap aplikasi ini sebagai aplikasi yang biasa saja. Aplikasi photomath ini juga membantu bagi sebagian besar siswa, namun juga memberikan dampak negatif seperti malas berpikir dan hanya mengandalkan photomath dalam menyelesaikan soal matematika tanpa menghitung dengan manual.
Persamaan Regresi Prediksi Curah Hujan Bulanan Menggunakan Data Suhu dan Kelembapan Udara di Bengkulu
Authors: Rumahorbo Inlim Ravijai
Published: October 2023

Abstrak— Simulasi prediksi curah hujan bulanan (RR) dengan menggunakan prediktor suhu udara (T) dan kelembapan udara (RH) telah dicoba dilakukan di Stasiun Klimatologi Kelas I Bengkulu. Evaluasi dilakukan dengan membandingkan dan menghitung besarnya nilai korelasi pearson dan penyimpangan prediksi total hujan bulanan terhadap total hujan aktualnya. Simulasi prediksi total hujan bulanan ini menggunakan regresi linier sederhana dan regresi linier berganda. Hasil dari pengolahan data menunjukkan bahwa simulasi prediksi total hujan bulanan tahun 2018 di daerah Bengkulu didapatkan nilai korelasi r = 0,68 dan rerata RMSE = 14.8 mm/bulan menggunakan prediktor suhu udara, diperoleh nilai korelasi r = 0,69 dan RMSE = 14.5 mm/bulan menggunakan prediktor kelembapan udara, dan nilai korelasi r = 0,71 dengan RMSE = 14.9 mm/bulan menggunakan prediktor suhu udara dan kelembapan udara sekaligus.
Golden Ratio pada Candi Gedong Songo
Authors: Marwan Ali Amrizal , Prasetia Yasin
Published: October 2023

Matematika telah memegang peranan dalam kehidupan dan telah manjadi bagian dari aktivitas manusia. Perkembangan ilmu pengetahuan juga mempengaruhi aktivitas manusia sejak zaman dahulu. Aktivitas merancang bangunan, mengukur, membuat pola serta berhitung dapat diungkapkan dari peninggalan misalnya seperti candi dan prasasti. Pada penelitian ini penulis memfokuskan tentang golden ratio pada Candi Gedong Songo. Penelitian ini bertujuan untuk mengetahui golden ratio yang ada pada bangunan Candi Gedong Songo. Metode yang digunakan adalah kualitatif. Pengumpulan data dilakukan dengan studi pustaka dan pengamatan (observasi). Penelitian ini disusun secara deskriptif, mulai dari meninjau masalah terkait golden ratio, membuat rumusan masalah, mengumpulkan teori, menganalisis, mendiskusikan data dan membuat kesimpulan. Hasil menunjukkan bahwa telah ditemukan konsep matematika yaitu golden ratio, golden rectangle, dan golden triangle pada Candi Gedong Songo.
Faktor-Faktor yang Mempengaruhi Putus Sekolah Jenjang SMA/Sederajat di Provinsi DKI Jakarta Tahun 2019
Authors: Setiadi Yaya
Published: October 2023

Angka putus sekolah (APTS) merupakan masalah pendidikan di Indonesia yang belum bisa terselesaikan hingga saat ini. Jenjang pendidikan SMA/Sederajat menjadi jenjang dengan angka putus sekolah tertinggi di Indonesia pada tahun 2019, dan DKI Jakarta yang merupakan provinsi maju di Indonesia justru menjadi provinsi dengan APTS jenjang SMA/Sederajat tertinggi di Indonesia tahun 2019. Penelitian ini dilakukan dengan tujuan menemukan karakteristik dan faktor-faktor yang mempengaruhi status putus sekolah anak pada jenjang SMA/Sederajat di DKI Jakarta tahun 2019. Hasil penelitian ini menemukan bahwa karakteristik anak putus sekolah jenjang SMA/Sederajat di DKI Jakarta tahun 2019 adalah anak dengan jenis kelamin laki-laki, memiliki ART maksimal 4 orang, memiliki KRT berpendidikan tertinggi maksimal SMP/Sederajat, dan lapangan pekerjaan KRT di sektor non pertanian. Dengan menggunakan model regresi logistik diperoleh bahwa tingkat pendidikan KRT dan lapangan pekerjaan KRT berpengaruh signifikan terhadap status putus sekolah jenjang SMA/Sederajat di DKI Jakarta tahun 2019. Selain itu, penelitian ini juga menemukan bahwa anak yang memiliki KRT berpendidikan maksimal SMP/Sederajat dan KRT yang bekerja di sektor pertanian maupun pengangguran memiliki kecenderungan lebih tinggi untuk putus sekolah di jenjang SMA/Sederajat.
Penerapan Metode CHAID (Chi- Squared Automatic Interaction Detection) pada Kelanjutan Siswa yang Mengikuti Lembaga Bimbingan Belajar pada Masa Pandemi COVID-19
Authors: Islamy Ulimazzada , Dini Sekti Kartika
Published: October 2023

Dampak dari pandemi COVID-19 sangat terasa terutama dalam aspek pendidikan. Model pembelajaran yang dulu tatap muka sekarang berubah menjadi pembelajaran secara daring. Hal ini berpengaruh terhadap lembaga pendidikan non formal salah satunya yaitu Nusagama Grup yang mengalami penurunan jumlah siswa yang cukup signifikan dibandingkan dengan tahun sebelumnya. Penelitian ini bertujuan untuk menentukan kelanjutan para siswa dalam mengikuti lembaga bimbingan berdasarkan karakteristik siswa lembaga serta banyaknya pertemuan yang dilakukan. Kelanjutan mengikuti lembaga bimbingan ini bertujuan untuk mengidentifikasi materi dan jenjang apa yang diminati para siswa sehingga akan lanjut mengikuti lembaga studi bimbingan Nusagama Grup. Penelitian ini menggunakan data sekunder dari 78 siswa. Metode yang digunakan adalah analisis CHAID (Chi-Squared Automatic Interaction Detection Analysis) yang akan digambarkan dengan diagram pohon keputusan. Berdasarkan hasil analisis metode CHAID maka diperoleh 4 segmen pengelompokan, tingkat nilai data training sebesar 75.8% dan nilai akurasi data testing sebesar 86.67%. Hasil presisi untuk klasifikasi siswa baru dari data testing sebesar 100% dan presisi klasifikasi siswa lama sebesar 81.8%. Jika dilihat dari nilai ketepatan yang didapatkan, dapat disimpulkan bahwa metode CHAID merupakan metode yang cukup baik untuk mengklasifikasi data pada penelitian ini.
Penerapan Algoritma K-Means dalam Penentuan Status Zona Covid-19 Desa di Kabupaten Kudus
Authors: Aenun Ema Julpia , Suprayogi Anita , Muflihunna Khaerunissa
Published: October 2023

Coronavirus Diseases 2019 (Covid-19) merupakan virus yang ditemukan pada Desember 2019 di Wuhan, Hubei, China. Covid-19 ini sangat mudah penularannya, sehingga penyebaran virus ini sangat cepat. Salah satunya di Indonesia, Covid-19 telah meluas ke berbagai daerah. Saat ini, Kabupaten Kudus berada pada urutan ke-11 berdasarkan kasus Covid-19 di Jawa Tengah. Status zona di suatu daerah merupakan faktor penting dalam upaya penangganan Covid-19. Oleh karena itu, akan dilakukan analisis clustering yang bertujuan untuk menentukan status zona Covid-19 di Kabupaten Kudus. Analisis clustering ini menggunakan algoritma k-means dengan pengelompokkan dibentuk menjadi 4 cluster/zona yaitu zona hijau (aman), kuning (resiko rendah), oranye (resiko sedang), dan merah (resiko tinggi). K-means merupakan algoritma yang mengelompokkan data ke dalam satu atau lebih cluster sehingga data yang memiliki karakteristik yang sama dikelompokkan pada satu cluster dan data yang mempunyai karakteristik yang berbeda dikelompokkan ke dalam kelompok yang lainnya. Berdasarkan hasil penelitian diperoleh bahwa proses clustering berhenti pada clustering ke-13 yang berarti tidak terdapat perubahan cluster ke-12 dan 13. Pada clustering ke-13 didapatkan dari 132 desa di Kabupaten Kudus terdapat 35 desa zona hijau, 50 desa zona kuning, 30 desa zona oranye, dan 17 desa zona merah.
PENERAPAN PROBLEM BASED LEARNING DENGAN MEDIA KARTU MASALAH UNTUK MENINGKATKAN BERPIKIR KRITIS
Authors: Tohari Anas
Published: October 2023

Abstrak-Latar belakang penelitian ini adalah kemampuan berpikir kritis peserta didik MAN 2 Banyumas pada materi Fungsi yang belum mencapai ketuntasan klasikal. Tujuan Penelitian ini adalah untuk meningkatkan kemampuan berpikir kritis peserta didik dengan menerapakan model Problem Based Learning menggunakan kartu masalah pada materi Fungsi MAN 2 Banyumas. Penelitian ini adalah penelitian tindakan kelas yang direncanakan terdiri dari 2 siklus, yaitu siklus I dan siklus II. Setiap siklus terdiri dari dari: (i) perencanaan; (ii) tindakan; (iii) pengamatan; (iv) refleksi. Subjek penelitian ini adalah peserta didik. Teknik pengambilan data berupa tes evaluasi yang berbentuk uraian dengan berpedoman pada rubrik penskoran kemampuan berpikir kritis. Teknik analisis data terdiri atas data kualitatif dan data kuantitatif . Hasil dari penelitian ditunjukkan dengan adanya peningkatan nilai rata-rata hasil evaluasi kemampuan berpikir kritis peserta didik pada siklus I dan siklus II berturut-turut yaitu 72,8 dan 81,25. Kemudian peningkatan persentase kategori ketuntasan klasikal persentase pada siklus I dan siklus II berturut-turut yaitu 65,63% dan 90,6%. Simpulan dari penelitian ini adalah adalah penerapan model Problem Based Learning menggunakan kartu masalah dapat meningkatkan kemampuan berpikir kritis peserta didik MAN 2 Banyumas pada materi Fungsi. Saran dari penelitian ini adalah penggunaan kartu masalah pada model Problem Based Learning dapat menjadi salah satu alternatif metode mengajar untuk meningkatkan kemampuan berpikir kritis peserta didik
Rethinking Driving Assessment: A Hypothesis-Driven Proposal for Cognitive Evaluation
Authors: Tapia Jose Luis , Duñabeitia Jon Andoni
Published: October 2023

Driving is a critical aspect of personal mobility and autonomy, but ensuring road safety requires a comprehensive evaluation of driving abilities beyond self-reported behaviors and practical skills. This article emphasizes the importance of cognitive assessment in determining fitness to drive and explores the potential benefits of using digital tools for such evaluations to enhance road safety. Implementing these digital tools does come with challenges, such as unfamiliarity with digital cognitive reviews for some and the requirement of adaptability to evaluate cognitive skills across various age demographics. Additionally, the absence of standardization in driving assessments across different regions can result in inconsistencies in judging who is fit to drive. Despite these hurdles, integrating digital cognitive evaluations and training into conducting assessments and educational initiatives can more effectively comprehend and address mental aspects of driving, thereby potentially reducing crash risk and promoting road safety. This hypothesis-driven approach proposes that a thorough assessment of an individual's readiness to drive, focusing on vital cognitive domains associated with safe driving, can contribute to safer roads and yield substantial social, economic, and personal benefits. We encourage future research and educators to consider these insights when developing driving education programs and assessments of driving fitness.
Demographic, Clinical, and Quality of Life Profiles of Older People With Diabetes During the COVID-19 Pandemic: Cross-Sectional Study
Authors: Sousa Fabianne , de Araujo Lucianne Nascimento , de Oliveira Tainá Sayuri Onuma , Gomes Mateus Cunha , Ferreira Glenda , Aben-Athar Cintia , da Silva Silvio Eder Dias , Cruz Ramos Aline MP , Rodrigues Diego Pereira
Published: October 2023

Background

Diabetes mellitus, one of the main diseases that affects the Brazilian population older than 60 years, is defined as a divergent group of metabolic disorders that present a high level of glycemia (hyperglycemia), causing damage to various organs and systems of the body, including the heart, kidneys, eyes, and nervous system. It is believed that in 2025, in Brazil alone, there will be more than 18.5 million individuals diagnosed with diabetes mellitus. Therefore, it is important to know the individuals’ quality of life in the context of life and culture.

Objective

This study aimed to assess the demographic, clinical, and quality of life profiles of older adults with diabetes during the COVID-19 pandemic in a university hospital complex in the northern Amazon region.

Methods

We conducted a cross-sectional, exploratory, noninterventional, descriptive, and analytical study using a nonrandom sample of 54 older people diagnosed with diabetes mellitus at the geriatrics outpatient clinic of the medium and high complexity university hospital in the western Brazilian Amazon between 2020 and 2022. We used 3 instruments, namely, a sociodemographic questionnaire, a clinical conditions questionnaire, and Diabetes-39. Qualitative data were described using absolute and relative frequencies. The Kolmogorov-Smirnov normality test was applied, and the z test was used for inferential analysis. SPSS software (version 27) was used for data analysis, and the significance level was 5%.

Results

Of the 54 interviewees, the majority were women, married, retired, and had a good quality of life. Of these, 48.1% (n=26) were infected by COVID-19, 61.5% (n=16) of whom progressed to long COVID, presenting with fatigue or muscle weakness. As for the quality of life, the “social overload” (P<.001) and “sexual functioning” (P<.001) dimensions had with low scores compared to the “energy and mobility” (P=.005), “diabetes control” (P<.001), and “anxiety and worry” (P<.001) dimensions. Quality of life was negatively impacted in the “anxiety and worry” dimension. Among those affected by COVID-19, most progressed to long COVID; however, there was a lack of data on this theme in the population of older people with diabetes.

Conclusions

The majority of interviewees progressed to long COVID, with their quality of life negatively impacted in the “anxiety and worry” dimension, reflecting that health actions prioritizing mental health should be implemented by health professionals.
What Kind of Innovation Ecosystem Is Conducive to Innovation Performance
Authors: Tang Zhiwei , Luo Yi , Chen Xueying
Published: October 2023

Universities have gathered abundant innovation resources, which are important carriers for innovation implementation and an important component of the national innovation system. Studying how to achieve high innovation performance in universities is of great significance. Based on the innovation ecological systems theory, this paper examines how the combination of intellectual resources, financial support, evaluation system, collaboration system, talent attraction, and peer pressure can lead to high innovation performance of universities. This paper constructs an analytical framework of “factor-system-space” and uses necessary condition analysis (NCA) methods and Fuzzy set qualitative comparative analysis (fsQCA) to empirically analyze the data of 40 universities in China. This article finds that at a lower level of funding and intellectual resources, intellectual resources and financial support are necessary for high talent innovation performance, and different levels of innovation performance have different requirements for conditions. There are three types of configurations that generate high innovation performance, namely institutional boosting under spatial dependence, institutional boosting under factor dependence, and factor-spatial dual drive.
ВЫСОКОКАЧЕСТВЕННЫЕ КОНДЕНСАТОРЫ ОТ JINPEI ELECTRONICS
Authors: Соколов М.
Published: October 2023

Основанная в 2005 году китайская компания Jinpei Electronics
специализируется на производстве конденсаторов различных видов.
Сегодня компания выпускает в год более 1 млрд типономиналов
конденсаторов – танталовых, электролитических, керамических,
пленочных. Технологические и научно-технические
возможности
предприятия позволяют производить высоконадежные компоненты
по конкурентным ценам для ответственных приложений, в том
числе для оборонно-космических
систем. Среди общепромышленных
применений – измерительное оборудование, светодиодное
освещение, источники питания, системы безопасности, оборудование
для нефтедобычи, бытовая и аудиотехника, электромобили,
коммуникационные системы и др. В статье представлен краткий обзор
ключевых линеек конденсаторов, выпускаемых Jinpei Electronics.
ПОЛНЫЙ ЦИКЛ СОЗДАНИЯ ДАТЧИКОВ И УСТРОЙСТВ ОБРАБОТКИ СИГНАЛОВ: ОТ ТЗ ДО СЕРИЙНОГО ПРОИЗВОДСТВА
Authors: Полевиков В.В.
Published: October 2023

Зеленоградский нанотехнологический
центр (АО «ЗНТЦ») – одно из ведущих
микроэлектронных предприятий нашей
страны, известное, в частности, широким
спектром направлений своей деятельности,
связанных с передовыми технологиями.
Здесь проводятся исследования в области
сенсорики, интегральной фотоники,
технологии нитрида галлия на кремнии,
создано собственное кристальное
производство, ведутся работы в сфере
3D-корпусирования.
Мы поговорили с руководителем
дизайн-центра
компании Валерием
Викторовичем Полевиковым о деятельности
данного подразделения, особенностях
разрабатываемой им продукции, а также
о возможностях, которые сейчас существуют
на рынке у отечественных производителей
датчиков и устройств обработки сенсорной
информации.
МЫ ГОТОВЫ ПРЕДЛАГАТЬ НЕСТАНДАРТНЫЕ РЕШЕНИЯ
Authors: Капшунова Ю.И.
Published: October 2023

При тестировании электронной продукции важно
обеспечить надежный контакт испытываемого изделия
с измерительным оборудованием, в связи с чем
необходимо точно подобрать контактное устройство,
используемое для замеров электрических параметров
и проведения различных видов испытаний. Компания
«АйСи Сокет» занимается разработкой и поставкой
контактирующих устройств любой сложности для
отечественных и импортных микросхем, оснастки
для проведения испытаний электронных компонентов.
Об особенностях разрабатываемой продукции
и перспективных направлениях деятельности
компании рассказала Юлия Ивановна Капшунова,
генеральный директор ООО «АйСи Сокет».
Classification and Analysis of Solar X-ray Monitoring Data for Intensity Monitoring
Authors: Datta Kashish , Jadeja Adityasinh , Sapra Duttresh
Published: October 2023

Abstract: Scientists have focused on solar flares because they are violent phenomena that take place on the Sun's surface and atmosphere and pose threats to the highly advanced civilization on Earth. Electromagnetic radiation from these eruptions primarily manifests as X-rays, UV light, and sporadically visible light. The energy released by these eruptions is equivalent to that of millions of atomic bombs. The beauty of auroras is enhanced but communication systems are disrupted by geomagnetic storms, which frequently accompany flares via coronal mass ejections (CMEs). Long-distance radio communication is hampered by ionospheric ionization caused by X-rays, and GPS navigation may become less precise, especially in high-latitude areas. Increased radiation levels during solar flares pose a concern to both astronaut safety and satellite operations. Geomagnetic disruptions pose a threat to electrical networks, which could result in widespread blackouts. Complex observatories like the Solar Dynamics Observatory (SDO) and the Solar and Heliospheric Observatory (SOHO) are used to predict and reduce the effects of solar flares. Classifying and analyzing solar flares precisely can assist determine their possible effects, which can range from modest interruptions brought on by Class C flares to major disruptions brought on by X-class flares. This study advances our knowledge of solar-terrestrial interactions and helps with space weather forecasting, both of which are essential in today's highly developed society.
Teacher Competence in The Preparation of Test and Non-Test Instruments
Authors: Choirudin  , Sugianto Rahmad , Darmayanti Rani , Muhammad Ilham
Published: October 2023

Penelitian ini mendeskripsikan proses pemecahan masalah siswa SMP dengan langkah-langkah Polya pada soal cerita aljabar. Penelitian ini menggunakan pendekatan deskriptif kualitatif dengan instrumen tes. Tes yang diberikan berupa soal uraian pada materi aljabar. Subjek penelitian adalah tiga siswa SMP yang diambil secara acak. Hasil dari penelitian ini adalah SDM dapat melakukan empat tahap pemecahan masalah pada pertanyaan 1 dan 2. S-RM dan S-SDF dapat melakukan proses pemecahan masalah tiga tahap pada item 1 dan empat lokasi pada item 2 .Langkah yang tidak dapat dilakukan pada pertanyaan 1 adalah tahap pengecekan kembali. Selain itu, S-SDF melakukan proses penyelesaian salah pada tahap perencanaan dan penyelesaian masalah pada masalah 1.
Public-private partnership as a tool to foster business innovation activities in the digital technologies field
Authors: Baibulatova D. V.
Published: October 2023

The unprecedented sanctions imposed against Russia included restrictions on the supply of high-tech products and services have updated issues of ensuring the technological independence of Russia in the digital technologies field by increasing private sector involvement in innovation processes and relying on our own developments. Cooperation between the public and private sectors within the framework of public-private partnership (PPP) can become an effective tool for achieving this goal. The article analyses United States experience in use of PPPs in the digital technologies field as well as Russian practice of using this mechanism to foster business innovation activities. Analyzing specific PPP mechanisms (models), the author identifies their key features, which determine the possibilities of their application in the development and implementation of government-business cooperation projects in the digital technologies field. It is concluded that, unlike the United States, the leading country in digital development, PPP models are not used enough in Russia, which is explained, among other things, by the presence of administrative and legal barriers as well as problems with goal-setting.
Non-financial risk disclosure practice: Evidence from Saudi Arabian listed companies
Authors: Alsulami Faizah
Published: October 2023

This study employs content analysis to analyse non-financial risk disclosure (NFRD) practices within the annual reports of Saudi listed companies over eight years (2010–2017). The data gathered shows that the levels of average NFRD are moderate. The descriptive results show that the average level of NFRD in the sample is 35.33%. This number is much lower than that reported in other studies elsewhere (Elamer et al., 2020; Konishi & Ali, 2007; Ntim et al., 2013). For example, Linsley and Shrives (2006) and Rajab and Handley-Schachler (2009) find that the mean of risk disclosure is 78 and 95 sentences for UK listed firms, respectively. Konishi and Ali (2007) report that Japanese companies offer 47 risk sentences on average. Thus, NFRD in Saudi Arabia appears to be smaller compared to other studies. The low level of NFRD in Saudi Arabia could be mainly clarified by the absence of enforcement. Throughout the study, there were no compulsory requirements for Saudi listed companies to offer information regarding risk or non-financial risk in their annual reports. The rise in the categories of risk-non-financial risk disclosures is more pronounced in the process risk where process risk disclosure grew from 27 (33%) in 2010 to 41 (50%) in 2017. Product, legal, and ethical risk disclosure appeared to be the most frequently disclosed risk, while the Shariah risk is significantly lower. The lack of Shariah risk disclosure can be explained by the fact that only two sectors substantially apply Shariah contracts such as Murabaha, Ijarah, and Istisnaa into their operations. The results of this study have the potential to support those preparing financial reports in firms, as well as regulators to enhance corporate NFRD practices and help investors and other key stakeholders.
Perception and criminality of tax evasion in a developing economy
Authors: Ifere Eugene Okoi , Ovat Okey Oyama , Owan Emeka Josephat , Chijioke Mercy Ihuoma , Ofem Lekam Ujong , Ndome Joseph Nsabe , Ugbaka Malachy Ashywel , Atelhe Atelhe George
Published: October 2023

This study examines the perceptions and extent to which tax evasion is classified as a criminal offense compared to fifteen listed offenses in the Niger Delta region of Nigeria. The motivation stems from the need to understand the reasons for higher levels of tax evasion and its perception as a lesser crime vis-à-vis others, despite its economic implications. It interrogates Menezes de Carvalho and Cabral de Ávila’s (2022) study which proved that tax governance practices and enforcement have serious consequences on the level of tax evasion. It employs a primary study using 409 questionnaires similar to Gupta (2009), and Mamuti and McGee (2016), which measured the perceptions toward tax evasion as a crime. Results revealed that murder/ritual killing, armed robbery, militancy, kidnapping, and human trafficking are among the top five crimes while tax evasion was rated third lowest crime. Also, corruption and ineffective tax governance, among others were identified as reasons for tax evasion. The implication is that tax evasion leads to dwindling government revenue and welfare. Consequently, the study recommended that to build confidence in tax authorities and systems, the government should step up social contracts with the people. Tax defaulter should be punished and the government should carry out periodic tax education
Asymmetric Spillovers in ASEAN Bond Markets
Authors: Yahya Muhammad , Luo Tianqi , Uddin Gazi Salah , Park Donghyun , Tian Shu , Jayasekera Ranadeva
Published: October 2023

This study aims to estimate and evaluate the intensity and directionality of bond market connectedness between Association of Southeast Asian Nations (ASEAN) and major regional and global markets and to identify factors impacting the interconnectedness dynamics among these markets. It derives an uncertainty connectedness measure grounded on the attributes of static and dynamic dependence frameworks and empirically evaluates its role in transmitting or receiving shocks based on various information spillover and contagion channels. The findings of this study have important implications for market participants, regulators, and policymakers.
The constructor-blocker game
Authors: Patkós Balázs , Stojakovic Milos , Vizer Máté
Published: October 2023

Given two graphs F and H, Constructor and Blocker alternately claim unclaimed edges of the complete graph Kn. Constructor?s graph must remain F-free, while Blocker claims edges without restrictions. The game ends when Constructor cannot claim further edges or when all edges have been claimed. The score of the game is the number of H?s in Constructor?s graph. Constructor?s aim is to maximize the score, while Blocker tries to minimize it. We study this game for several choices of F and H.
Echo state network for features extraction and segmentation of tomography images
Authors: Koprinkova-Hristova Petia , Georgiev Ivan , Raykovska Miryana
Published: October 2023

The paper proposes a novel approach for gray scale images segmentation. It is based on multiple features extraction from a single feature per image pixel, namely its intensity value, via a recurrent neural network from the reservoir computing family - Echo state network. The preliminary tests on the benchmark gray scale image Lena demonstrated that the newly extracted features - reservoir equilibrium states - reveal hidden image characteristics. In present work the developed approach was applied to a real life task for segmentation of a 3D tomography image of a of bone whose aim was to explore the object?s internal structure. The achieved results demonstrated the novel approach allows for clearer revealing the details of the bone internal structure thus supporting further tomography image analyses.