bluuebunny/crossref_metadata_2025_split huggingface dataset:
Synthesizing Multiple Stakeholder Perspectives on Using Virtual Reality to Improve the Periprocedural Experience in Children and Adolescents: Survey Study
Authors: Ahmadpour Naseem , Weatherall Andrew David , Menezes Minal , Yoo Soojeong , Hong Hanyang , Wong Gail 
Published: June 2020

Background
Virtual reality (VR) technology is a powerful tool for augmenting patient experience in pediatric settings. Incorporating the needs and values of stakeholders in the design of VR apps in health care can contribute to better outcomes and meaningful experiences for patients.

Objective
We used a multiperspective approach to investigate how VR apps can be designed to improve the periprocedural experiences of children and adolescents, particularly those with severe anxiety.

Methods
This study included a focus group (n=4) and a survey (n=56) of clinicians. Semistructured interviews were conducted with children and adolescents in an immunization clinic (n=3) and perioperative setting (n=65) and with parents and carers in an immunization clinic (n=3) and perioperative setting (n=35).

Results
Qualitative data were examined to determine the experience and psychological needs and intervention and design strategies that may contribute to better experiences for children in three age groups (4-7, 8-11, and 12-17 years). Quantitative data were used to identify areas of priority for future VR interventions.

Conclusions
We propose a set of ten design considerations for the creation of future VR experiences for pediatric patients. Enhancing patient experience may be achieved by combining multiple VR solutions through a holistic approach considering the roles of clinicians and carers and the temporality of the patient’s experience. These situations require personalized solutions to fulfill the needs of pediatric patients before and during the medical procedure. In particular, communication should be placed at the center of preprocedure solutions, while emotional goals can be embedded into a procedure-focused VR app to help patients shift their focus in a meaningful way to build skills to manage their anxiety.
A COVID-19 Risk Assessment Decision Support System for General Practitioners: Design and Development Study
Authors: Liu Ying , Wang Zhixiao , Ren Jingjing , Tian Yu , Zhou Min , Zhou Tianshu , Ye Kangli , Zhao Yinghao , Qiu Yunqing , Li Jingsong 
Published: June 2020

Background
The coronavirus disease (COVID-19) has become an urgent and serious global public health crisis. Community engagement is the first line of defense in the fight against infectious diseases, and general practitioners (GPs) play an important role in it. GPs are facing unique challenges from disasters and pandemics in delivering health care. However, there is still no suitable mobile management system that can help GPs collect data, dynamically assess risks, and effectively triage or follow-up with patients with COVID-19.

Objective
The aim of this study is to design, develop, and deploy a mobile-based decision support system for COVID-19 (DDC19) to assist GPs in collecting data, assessing risk, triaging, managing, and following up with patients during the COVID-19 outbreak.

Methods
Based on the actual scenarios and the process of patients using health care, we analyzed the key issues that need to be solved and designed the main business flowchart of DDC19. We then constructed a COVID-19 dynamic risk stratification model with high recall and clinical interpretability, which was based on a multiclass logistic regression algorithm. Finally, through a 10-fold cross-validation to quantitatively evaluate the risk stratification ability of the model, a total of 2243 clinical data consisting of 36 dimension clinical features from fever clinics were used for training and evaluation of the model.

Results
DDC19 is composed of three parts: mobile terminal apps for the patient-end and GP-end, and the database system. All mobile terminal devices were wirelessly connected to the back end data center to implement request sending and data transmission. We used low risk, moderate risk, and high risk as labels, and adopted a 10-fold cross-validation method to evaluate and test the COVID-19 dynamic risk stratification model in different scenarios (different dimensions of personal clinical data accessible at an earlier stage). The data set dimensions were (2243, 15) when only using the data of patients’ demographic information, clinical symptoms, and contact history; (2243, 35) when the results of blood tests were added; and (2243, 36) after obtaining the computed tomography imaging results of the patient. The average value of the three classification results of the macro–area under the curve were all above 0.71 in each scenario.

Conclusions
DCC19 is a mobile decision support system designed and developed to assist GPs in providing dynamic risk assessments for patients with suspected COVID-19 during the outbreak, and the model had a good ability to predict risk levels in any scenario it covered.
Ontological Organization and Bioinformatic Analysis of Adverse Drug Reactions From Package Inserts: Development and Usability Study
Authors: Li Xiaoying , Lin Xin , Ren Huiling , Guo Jinjing 
Published: June 2020

Background
Licensed drugs may cause unexpected adverse reactions in patients, resulting in morbidity, risk of mortality, therapy disruptions, and prolonged hospital stays. Officially approved drug package inserts list the adverse reactions identified from randomized controlled clinical trials with high evidence levels and worldwide postmarketing surveillance. Formal representation of the adverse drug reaction (ADR) enclosed in semistructured package inserts will enable deep recognition of side effects and rational drug use, substantially reduce morbidity, and decrease societal costs.

Objective
This paper aims to present an ontological organization of traceable ADR information extracted from licensed package inserts. In addition, it will provide machine-understandable knowledge for bioinformatics analysis, semantic retrieval, and intelligent clinical applications.

Methods
Based on the essential content of package inserts, a generic ADR ontology model is proposed from two dimensions (and nine subdimensions), covering the ADR information and medication instructions. This is followed by a customized natural language processing method programmed with Python to retrieve the relevant information enclosed in package inserts. After the biocuration and identification of retrieved data from the package insert, an ADR ontology is automatically built for further bioinformatic analysis.

Results
We collected 165 package inserts of quinolone drugs from the National Medical Products Administration and other drug databases in China, and built a specialized ADR ontology containing 2879 classes and 15,711 semantic relations. For each quinolone drug, the reported ADR information and medication instructions have been logically represented and formally organized in an ADR ontology. To demonstrate its usage, the source data were further bioinformatically analyzed. For example, the number of drug-ADR triples and major ADRs associated with each active ingredient were recorded. The 10 ADRs most frequently observed among quinolones were identified and categorized based on the 18 categories defined in the proposal. The occurrence frequency, severity, and ADR mitigation method explicitly stated in package inserts were also analyzed, as well as the top 5 specific populations with contraindications for quinolone drugs.

Conclusions
Ontological representation and organization using officially approved information from drug package inserts enables the identification and bioinformatic analysis of adverse reactions caused by a specific drug with regard to predefined ADR ontology classes and semantic relations. The resulting ontology-based ADR knowledge source classifies drug-specific adverse reactions, and supports a better understanding of ADRs and safer prescription of medications.
Description of Self Awareness Diabetes Mellitus in Nursing Student of Faculty of Nursing Padjadjaran University
Authors: Yudiana Mila , Kosasih Cecep Eli , Harun Hasniatisari 
Published: June 2020

Diabetes mellitus was a disease that kept increased annually in the world. One of the factors that could prevent the occurrence of diabetes mellitus was self-awareness. The self-awareness for the students of nursing studies was very important to be developed, considering that nursing students were the prospective nurses which soon would become the role models in health and the nursing care givers. Thus, it was expected that the nursing students to have a high awareness. This research aimed to find out the description of self-awareness related to the risk factors of diabetes mellitus to the students of the Faculty of Nursing Universitas Padjadjaran. The method of the research was quantitative descriptive method that involved the population of the students of the Faculty of Nursing year 2014-2016 as much as 853 people, taken by simple random sampling method. The sample obtained was as much as 274 respondents. The data collection was by using self-awareness questionnaire, analyzed by frequency distribution method presented in the form of high, medium, and low self- awareness. The result of the research regarding the risk factors of diabetes mellitus were most of the respondents were included in the high category (55.20%), however, there were also respondents who were included in the medium category (47.44%). It can be concluded that there were respondents who have a medium self-awareness. Therefore, it is necessary to design the program to raise the self-awareness of nursing students related to diabetes mellitus risk factors.
Analisis Ketersediaan dan Kebutuhan Beras di Indonesia Tahun 2018
Authors: Pratama Armandha Redo , Sudrajat Sudrajat , Harini Rika 
Published: June 2020

Berdasarkan publikasi World Bank (2018) saat ini Indonesia menduduki peringkat ke-4 sebagai negara dengan jumlah penduduk paling besar di dunia, hal ini mengakibatkan konsumsi beras di Indonesia juga besar. Tujuan penelitian ini ialah untuk menganalisis ketersediaan dan kebutuhan berasdi Indonesia. Metode yang digunakan dalam penelitian ini ialah metode studi literatur dan analisis data sekunder. Hasil analisis dalam penelitian ini ialah Kondisi geografis di Indonesia yang sebagian besar cocok sebagai lahan sawah menyebabkan ketersediaan beras di Indonesia cukup besar. hal ini dibuktikan dengan persentase wilayah surplus beras di Indonesia lebih besar dibandingkan dengan wilayah defisit berasnya, yaitu sebesar 52,94% : 47,06 %. Sebagian besar Provinsi dengan klasifikasi defisit beras berada di Indonesia bagian timur, seperti Provinsi Papua, Maluku, NTT dan NTB, sedangkan provinsi dengan klasifikasi surplus beras dominan berada di Pulau Jawa, Pulau Sumatera dan Pulau Sulawesi. Jadi secara umum pada tahun 2018 sebagian besar provinsi di Indonesia merupakan wilayah surplus beras dengan sentra beras berada di Pulau Jawa, Pulau Sumatera dan Pulau Sulawesi.Kata Kunci : Ketersediaan; Kebutuhan; Beras; Surplus; Defisit
Faktor Determinan Yang Berpengaruh Terhadap Pencemaran Sungai Musi Kota Palembang
Authors: Setianto Heri , Fahritsani Husni 
Published: June 2020

Semakin bertambahnya jumlah penduduk dan tingginya kegiatan pembangunan di Kota Palembang mengakibatkan semakin meningkatnya kegiatan industri, kegiatan permukiman, dan kegiatan lainnya yang menjadikan peningkatan terhadap jumlah limbah yang dihasilkan setiap harinya. Masalah dalam penelitian yaitu Faktor –faktor determinan yang paling berpengaruh terhadap pencemaran Sungai Musi di Kota Palembang. Metode yang digunakan dalam penelitian ini adalah metode studi kasus dengan pendekatan survai. Data primer diperoleh dari hasil penelitian di lapangan dan hasil analisis laboratorium meliputi konsentrasi TDS, TSS, pH, Besi (Fe), Timbal (Pb), Ammoniak (NH3-N) Phosphate (PO4-P), DO, COD, BOD, dan konsentrasi Colyform Total. Hasil penelitian yaitu unsur kimia yang paling dominan yaitu unsur besi dalam air sungai, unsur besi antara 288 mg/l sampai dengan 453 mg/l. Konsentrasi Amoniak tertinggi berada pada titik sampel 1 yang terletak pada hilir Sungai Musi, tingginya kadar amoniak bersumber dari kegiatan industry dan kegiatan domestik rumah tangga. Konsentrasi COD pada air Sungai Musi berada diatas ambang batas normal yaitu 97 mg/l. Konsentrasi yang melebihi ambang batas yang lain yaitu konsentrasi BOD dan DO. Kondisi ini dapat disebabkan oleh dekomposisi unsur organik yang terdapat dalam air sungai. Dari hasil penelitian disimpulkan bahwa faktor determinan yang berpengaruh utama terhadap pencemaran Sungai Musi yaitu faktor sampah rumah tangga dan faktor determinan yang kedua adalah faktor indistriKata Kunci: Faktor Determinan; Kualitas Air; Sungai Musi
Gaya Belajar Interpersonal dan Pemahaman Konsep Peserta Didik terhadap Materi Pokok Statistika
Authors: Sutini Sutini , Francisca Martina Yuliver , Rokayah Siti , Slawantya Yusiana Rismatika , Faqih Faqih 
Published: June 2020

Abstract:Understanding the concept for students becomes an important basis in thinking so as to solve the problems that exist in real life. This study aims to determine the level of interpersonal learning styles and students' understanding of the concepts of statistics. This research is qualitative in nature, with the research subjects being 6 students of class XII MIPA 1 in Madrasah Aliyah in Lamongan and 1 mathematics subject teacher. The object in this study is the ability to understand statistical concepts and interpersonal learning styles in students. The instruments used were observation, questionnaires, test questions, interviews, and documentation. Based on the analysis of qualitative data that has been done, the results obtained interpersonal learning styles in students are in the high and medium categories. with different levels of interpersonal learning styles. Even though they have a high level of interpersonal learning style, not all are able to understand statistical concepts well. Abstrak:Pemahaman konsep bagi peserta didik menjadi dasar penting dalam berpikir sehingga dapat menyelesaikan permasalahan-permasalahan yang ada dikehidupan nyata. Penelitian ini memiliki tujuan untuk mengetahui tingkat gaya belajar interpersonal dan pemahaman konsep peserta didik terhadap statistika. Penelitian ini bersifat kualitatif, dengan subjek penelitian adalah 6 peserta didik kelas XII MIPA 1 di salah satu Madrasah Aliyah di Lamongan dan 1 orang guru matapelajaran matematika. Objek dalam penelitian ini adalah kemampuan dalam pemahaman konsep statistika dan gaya belajar interpersonal pada peserta didik. Instrumen yang digunakan adalah observasi, angket, tes soal, wawancara, dan dokumentasi. Berdasarkan analisis data kualitatif yang telah dilakukan, diperoleh hasil gaya belajar interpersonal pada peserta didik berada dalam kategori tinggi dan sedang. dengan tingkat gaya belajar interpersonal yang berbeda. Meskipun memiliki tingkat gaya belajar interpesonal tinggi namun tidak semua mampu memahami konsep statistika dengan baik.
Pengembangan Bahan Ajar Berbasis Penalaran pada Materi Sudut Pusat dan Sudut Keliling Lingkaran
Authors: Khadijah Sitti , Ismail Sumarno , Resmawan Resmawan 
Published: June 2020

Abstract:Reasoning based research generally examines the application of learning models or learning methods. So far, there are still rarely studies that examine the use of teaching materials to improve the quality of learning. This study aims to develop teaching materials related to the central angle and the circumference of the circle based on reasoning. The development model used is the ADDIE development model, namely Analysis, Design, Development, Implementation and Evaluation. The analysis was conducted by involving students of SMPN 1 Kabila as research subjects. The results showed the quality of teaching materials was declared valid with a percentage of 75%. Practicality of teaching materials based on the results of student questionnaire responses reached very good categories with a percentage of 82.82%. This shows that reasoning based teaching materials can be used in the learning process. Abstrak:Penelitian berbasis penalaran umumnya mengkaji tentang penerapan model atau metode pembelajaran. Sejauh ini, masih jarang penelitian yang mengkaji tentang penggunaan bahan ajar untuk meningkatkan kualitas pembelajaran. Penelitian ini bertujuan untuk mengembangkan bahan ajar materi hubungan sudut pusat dan sudut keliling lingkaran berbasis penalaran. Model pengembangan yang digunakan adalah Model pengembangan ADDIE, yaitu Analysis (Analisis), Design (Desain), Development (Pengembangan), Implementation (Implementasi) dan Evaluation (Evaluasi). Analisis dilakukan dengan melibatkan siswa SMPN 1 Kabila sebagai subjek penelitian. Hasil penelitian menunjukan kualitas bahan ajar dinyatakan valid dengan persentase 75%. Kepraktisan bahan ajar berdasarkan hasil angket respon siswa mencapai kategori sangat baik dengan persentase 82,82%. Hal ini menunjukkan bahwa bahan ajar berbasis penalaran dapat digunakan dalam proses pembelajaran.
Analisis Gerak Pointing Pada Olahraga Petanque
Authors: Bustomi Adhe Oktaria , Hidayah Taufiq , Okilanda Ardo , Putra Dede Dwiansyah 
Published: June 2020

This study aimed to analyze pointing movement skill of Semarang Petanque athlete. This study was descriptive quantitative design which described systematically facts and characteristics of pointing movement by Semarang Petaque Athlete. The pointing movements as data were descriptive. This analysis used descriptive statistic which measured frequency. This data was taken from Biomechanics aspect of 3 pointing movements of Petaque by 8 men and women players of Semarang city. They were; (1) holding a boule, (2) foot position, and (3) throwing the boule. The measurement was carried out by two national coaches and one international coach of Petaque. The result shows that; 1) the average value of holding a boule is 4.4 or 88% of percentage which categorized as very good, 2) the average value of foot position is 4.6 or 92% of percentage which categorized as very good, and 3) the average value of throwing a boule is 3.72 or 74.4% of percentage which categorized as good. Overall movements point out good category with 88% of percentage.
Penyusunan File Fingerprint untuk Berkas Jpeg/exif dengan Hash Function SHA512 dan Algoritma Boyer-Moore String Matching
Authors: Fitriyanto Rachmad , Yudhana Anton , Sunardi Sunardi 
Published: June 2020

Pengamanan berkas jpeg/exif dalam komunikasi digital umumnya bersifat untuk pencegahan, belum dapat digunakan untuk pendeteksian keutuhan data. File Fingerprint merupakan konsep sidik jari yang disusun berdasarkan konten dari dokumen digital. Penelitian ini bertujuan untuk menyusun file fingerprint dari berkas jpeg/exif yang dapat digunakan untuk mendeteksi terjadinya modifikasi pada berkas. Penyusunan file fingerprint dilakukan dalam lima tahap. Tahap pertama adalah identifikasi struktur berkas jpeg/exif menggunakan algoritma Boyer-Moore string matching untuk menentukan indeks lokasi segmen jpeg/exif. Tahap kedua adalah akuisisi konten segmen. Tahap ketiga adalah penghitungan hash value menggunakan hash function SHA512. Tahap keempat adalah pengujian modifikasi berkas jpeg/exif. Tahap kelima adalah penyusunan file fingerprint. Hasil yang diperoleh menunjukkan file fingerprint dari berkas jpeg/exif berasal dari tiga segmen, SOI, APP1 dan SOF0. Hash value dari segmen SOI digunakan untuk mendeteksi modifikasi dalam bentuk konversi tipe berkas dan penambahan objek pada gambar. Hash value dari segmen APP1 untuk mendeteksi modifikasi pada metadata. Hash value dari segmen SOF0 untuk mendeteksi modifikasi dalam bentuk resizing, recoloring dan cropping.Â Berkas file fingerprint yang dihasilkan memiliki ukuran rata-rata 0,017% dari ukuran berkas gambar dari smartphone Asus Z00UD dan 0,015% dari ukuran berkas gambar dari smartphone Samsung Galaxy A5.
Analisis Cluster Terhadap Karakteristik Mahasiswa Jalur Prestasi FTI UKDW
Authors: Santosa Raden Gunawan , Chrismanto Antonius Rachmat , Kurniawan Erick 
Published: June 2020

Analisis Clustering merupakan analisis yang sangat bermanfaat untuk proses deskripsi dan eksplorasi sekumpulan data.Â Dengan tidak tahunya informasi terhadap karakteristik data mahasiswa jalur prestasi Universitas Kristen Duta Wacana (UKDW), maka akan sangat merugikan dalam pengambilan keputusan. Tujuan dari penelitian ini melihat karakteristik cluster masing-masing angkatan dari angkatan 2008 sampai dengan 2018. Dengan menggunakan analisis cluster, juga ingin diketahui kemiripan 10 angkatan mahasiswa jalur prestasi di FTI UKDW.Â Untuk melihat cluster tiap angkatan mahasiswa FTI UKDW digunakan metode K-Means Clustering. Sedangkan untuk menemukan kemiripan dari 10 angkatan mahasiswa FTI UKDW digunakan Hierarchial Clustering. Dari hasil penelitian didapat fakta bahwa sebagai berikut: dengan menggunakan K-Means Clustering untuk pengelompokkan menjadi dua cluster, maka diperoleh bahwa cluster yang mempunyai kecenderungan IP Semester 1 (IPS1) tinggi mempunyai karakteristik: status SMA swasta, lokasi SMA di Jawa, kategori SMA umum, level bahasa Inggris level 3,Â sedangkan cluster yang mempunyai kecenderungan IPS1 rendah mempunyai karakteristik: status SMA swasta, lokasi SMA luar Jawa, kategori SMAÂ umum,Â level bahasa Inggris level 2. Apabila dilihat hasil pengelompokan tiap angkatan berdasarkan cluster yang terbentuk pada Dendrogram Hierarchical Clustering, maka Angkatan 2015 mempunyai kemiripan cluster yang paling berbeda dibandingkan dengan angkatan yang lainnya.
KIAT MEMBIMBING SISWA UNTUK MENINGKATKAN KEPERCAYAAN DIRI DALAM BERGAUL
Authors: . Zainuddin 
Published: June 2020

Percaya diri adalah pandangan seseorang, gambaran pemikiran dan perasaan yakin, kesanggupan dan keberanian seseorang terhadap segala aspek kemampuan yang dimilikinya. Sumber dari percaya diri adalah wawasan dan pengetahuan seseorang. Luasnya wawasan dapat memudahkan untuk menyesuaikan diri terhadap dalam segala kondisi. Untuk itu, giat dalam mengeksplorasi kemampuan sangat penting. Mengeksplorasi segenap kemampuan dengan giat belajar dan terus berlatih. Berani mencoba hal-hal baru dan tantangan-tantangan baru dalam tugas yang dipercayakan. Komunikasi dan interaksi terhadap orang lain juga sangat penting dalam meningkatkan ilmu pengetahuan guna meningkatkan kepercayaan diri. Aktif berinteraksi seperti banyak berbicara dan berdiskusi mengenai pelajaran, masalah-masalah, atau kejadian-kejadian. Kata kunci : Kepercayaan diri, pergaulan
KEPEMIMPINAN KEPALA SEKOLAH DALAM PENINGKATAN KINERJA GURU
Authors: Iskandar Uray 
Published: June 2020

Dalam proses pembelajaran guru dipandang memiliki peran penting terutama dalam membantu peserta didik untuk mengembangkan potensinya dalam kemampuan kognitif, afektif dan psikomotor, guru juga berupaya untuk membangkitkan rasa ingin tahu, mendorong kemandirian dan ketepatan logika intelektual, serta menciptakan kondisi-kondisi untuk sukses dalam belajar. Kinerja guru dapat dilihat dan diukur berdasarkan spesifikasi/kriteria kompetensi yang harus dimiliki oleh setiap guru. dapat ditampilkan melalui penguasaan kompetensi pedagogik, profesional, kepribadian dan sosial. Mengingat kepemimpinan dan motivasi kerja kepala sekolah terhadap kinerja guru memberikan suatu korelasi, maka disarankan pada SMP Negeri Teluk Keramat, bahwa guru dapat meningkatkan kinerja dapat dilihat dari tanggungjawabnya menjalankan tugas profesi yang diembannya, kepatuhan dan loyalitasnya di dalam menjalankan tugas keguruan sebagai guru. Kata Kunci : Kepemimpinan Kepala Sekolah, Peningkatan Kinerja Guru