bluuebunny/crossref_metadata_2025 huggingface dataset:
PENERAPAN MODEL PROBLEM BASED LEARNING (PBL) UNTUK MENINGKATKAN MOTIVASI DAN PRESTASI BELAJAR MATEMATIKA SISWA KELAS X TB 3 SMK NEGERI 1 KUBU SEMESTER GANJIL TAHUN PELAJARAN 2019/2020
Authors: Diarsa I Nyoman
Published: August 2022

Penelitian tindakan kelas ini bertujuan untuk meningkatkan motivasi belajar dan prestasi belajar Matematika siswa. Penelitian ini melibatkan 36 siswa kelas X TB 3 SMK Negeri 1 Kubu. Objek penelitian ini adalah motivasi belajar dan prestasi belajar Matematika siswa. Data motivasi belajar Matematika siswa dikumpulkan dengan menggunakan angket motivasi belajar. Dalam angket tersebut terdapat pernyataan dengan masing-masing 5 pilihan yaitu sangat setuju (SS), setuju (S), kurang setuju (KS), tidak setuju (TS), sangat tidak setuju (STS). Penelitian tindakan kelas ini dikatakan berhasil jika rata-rata skor motivasi belajar Matematika siswa minimal berada pada kategori tinggi. Untuk mengumpulkan data prestasi belajar Matematika siswa dikumpulkan melalui tes prestasi yang " berbentuk 5 butir soal essay. Siswa dikatakan tuntas jika ! ≥ 70; KK ≥ 85% . Hasil analisis menunjukkan bahwa (1) Penerapan model Problem Based Learning (PBL) dapat meningkatkan motivasi belajar Matematika siswa kelas X TB 3 SMK Negeri 1 Kubu semester ganjil tahun pelajaran 2019/ 2020. Rata-rata motivasi belajar Matematika siswa pada awalnya adalah 64 dengan standar deviasi 7,2 dengan kualifikasi rendah. Setelah diterapkan model Problem Based Learning (PBL) maka terjadi peningkatan rata-rata motivasi belajar Matematika siswa sebesar 11% di siklus I sehingga rata-ratanya menjadi 71 dengan standar deviasi 6,2 berkualifikasi cukup. Hasil penelitian di siklus I masih belum memenuhi standar kriteria keberhasilan tindakan yang ditetapkan, sehingga masih perlu diadakan perbaikan. Perbaikan siklus I diterapkan di siklus II sehingga terjadi peningkatan motivasi belajar Matematika siswa sebesar 28%. Rata-rata motivasi belajar Matematika siswa pada siklus II adalah 91 dengan standar deviasi 3,5 dan memiliki kualifikasi sangat tinggi. (2) Penerapan model Problem Based Learning (PBL) dapat meningkatkan prestasi belajar Matematika siswa kelas X TB 3 SMK Negeri 1 Kubu semester ganjil tahun pelajaran 2019/ 2020. Nilai rata-rata prestasi belajar Matematika siswa meningkat dari 73 pada siklus I menjadi 81 pada siklus II hal ini mengindikasikan terjadi peningkatan prestasi belajar Matematika siswa sebesar 11%. Pada siklus I ketuntasan klasikal siswa adalah 74% (KK<85%) berada pada kategori belum tuntas, dan pada siklus II adalah 97% (KK>85%) berada pada kategori tuntas.
ANALYSIS OF GRAMMATICAL ERROR IN DESCRIPTIVE WRITING AMONG STUDENTS OF ENGLISH EDUCATION DEPARTMENT OF STKIP AGAMA HINDU SINGARAJA IN THE ACADEMIC YEAR OF 2020/2021
Authors: Rismadewi Ni Wayan Monik
Published: August 2022

The present study aimed at: (1) investigating the types of grammatical errors committed by the second semester students of English Education Department of STKIP Agama Hindu Singaraja in writing descriptive text and (2) explaining the causes of grammatical errors committed by the second semester students of English Education Department of STKIP Agama Hindu Singaraja in writing descriptive text. The data were collected by using documentation, questionnaire and interview. The study was descriptive study. The instruments were writing instruction, self assessment, questionnaire, interview guide and tape recorder. The study revealed that there were four kinds of errors found in their writing text, such as: verb errors, preposition errors, article errors and pronoun errors. Total of errors that the students committed was 538 errors. The most frequent errors were in the use of verb as many as 285 errors or 52.97%. There were 189 errors in the use of article or 35.13%. In the use of pronoun was found as many as 39 errors or 7.24%. Meanwhile, there were 25 errors in the use of preposition or 4.64%. There were four causes of errors committed by the students namely: the interference of the learners’ mother tongue, context of learning, overgeneralization, ignorance of rule restrictions. The result from interview showed that the students’ grammatical errors were mostly caused by intralingual factor which is grammar and structure.
PENERAPAN MODEL SIKLUS BELAJAR 7E UNTUK MENINGKATKAN HASIL BELAJAR KOGNITF DAN MINAT BELAJAR BIOLOGI SISWA KELAS XII MIPA 2 SMA NEGERI 3 AMLAPURA TAHUN PELAJARAN 2019/2020
Authors: Ngurah I Gusti Made
Published: August 2022

Penelitian ini bertujuan untuk meningkatkan hasil belajar kognitif dan minat belajar siswa kelas XII MIPA 2 SMA 3 Amlapura tahun pelajaran 2019/2020 melalui penerapan model siklus belajar 7E. Untuk mencapai tujuan tersebut dilakukan penelitian tindakan pada siswa kelas XII MIPA 2 di SMA 3 Amlapura yang berjumlah 29 siswa. Penelitian ini dilakukan dalam dua siklus pembelajaran. Model pembelajaran yang digunakan dalam penelitian ini adalah model siklus belajar 7E. Obyek penelitian berupa hasil belajar kognitif dan minat belajar biologi siswa. Untuk mengukur hasil belajar kognitif digunakan tes tes hasil belajar yang berbentuk objektif. Data minat belajar dikumpulkan dengan menggunakan kuesioner yang berjumlah 20 butir. Data dianalisis dengan menggunakan analisis deskriptif dengan menggunakan kriteria keberhasilan tindakan sesuai penilaian pembelajaran yang berlaku di SMA 3 Amlapura. Penelitian ini dikatakan berhasil jika terjadi peningkatan hasil belajar kognitif siswa dari siklus I ke siklus II dan mencapai ketuntasan minimal memiliki rata-rata skor 72 dan minat belajar siswa dari siklus I ke sikus II dan mencapai ketuntasan minimal dengan predikat tinggi. Hasil analisis data diperoleh bahwa: (1) penerapan model siklus belajar 7E dapat meningkatkan hasil belajar kognitf siswa kelas XII MIPA 2 SMA 3 Amlapura Tahun Pelajaran 2019/2020. Hasil ini terlihat dari siklus I rata-rata hasil belajar siswa adalah 71 meningkat sebesar 22% menjadi 87 pada siklus II; dan (2) penerapan model siklus belajar 7E dapat meningkatkan minat belajar biologi siswa kelas XII MIPA 2 SMA 3 Amlapura. Rata-rata minat belajar siswa pada siklus I sebesar 72 dengan kualifikasi sedang, dan pada siklus II meningkat sebesar menjadi 87 dengan kualifikasi tinggi. Hasil ini mengindikasikan terjadi peningkatan minat belajar siswa sebesar 21%.
PENERAPAN MODEL PEMBELAJARAN KOOPERATIF TIPE MURDER UNTUK MENINGKATKAN MOTIVASI BERPRESTASI DAN PRESTASI BELAJAR PKn SISWA KELAS XI MIPA 6 SMA NEGERI 2 AMLAPURA TAHUN PELAJARAN 2018/2019
Authors: Bandem I Gede
Published: August 2022

Penelitian ini bertujuan: (1) untuk meningkatkan motivasi berprestasi siswa kelas XI MIPA 6 SMA Negeri 2 Amlapura tahun pelajaran 2018/2019 dalam belajar PKn melalui penerapan model pembelajaran kooperatif tipe MURDER, (2) untuk meningkatkan prestasi belajar PKn siswa kelas XI MIPA 6 SMA Negeri 2 Amlapura tahun pelajaran 2018/2019 melalui penerapan model pembelajaran kooperatif tipe MURDER. Untuk mencapai tujuan tersebut dilakukan penelitian tindakan pada siswa kelas XI MIPA 6 SMA Negeri 2 Amlapura yang berjumlah 31 siswa. Penelitian ini dilakukan dalam dua siklus pembelajaran. Model pembelajaran yang digunakan dalam penelitian ini adalah diterapkan model pembelajaran Kooperatif Tipe MURDER dalam proses pembelajaran PKn. Hasil analisis data diperoleh: (1) penerapan model pembelajaran kooperatif tipe MURDER dapat meningkatkan motivasi berprestasi siswa kelas XI MIPA 6 SMA Negeri 2 Amlapura Tahun Pelajaran 2018/2019 dalam belajar PKn. Secara kuantitatif tampak bahwa pada siklus I rata-rata motivasi berprestasi siswa 73 meningkat pada siklus II menjadi rata-rata 87. Hasil ini menunjukkan terjadi peningkatan motivasi berprestasi siswa, dan secara kualitatif terjadi peningkatan kualitas motivasi berprestasi siswa dari kategori sedang pada siklus I menjadi tinggi pada siklus II; (2) penerapan model pembelajaran kooperatif tipe MURDER dapat meningkatkan prestasi belajar PKn siswa kelas XI MIPA 6 SMA Negeri 2 Amlapura Tahun Pelajaran 2018/2019. Secara kuantitatif tampak bahwa pada siklus I rata-rata prestasi belajar siswa 77 meningkat pada siklus II menjadi rata-rata 87. Dan ketuntasan klasikal pada siklus I 71% meningkat menjadi 100% pada siklus II. Hasil ini menunjukkan terjadi peningkatan prestasi belajar siswa, dan secara kualitatif terjadi peningkatan kualitas prestasi belajar siswa dari kategori tidak tuntas pada siklus I menjadi tuntas secara klasikal pada siklus II.
UPAYA PEMBERDAYAAN DALAM PENGELOLAAN “BUPDA” DI DESA POH BERGONG KECAMATAN BULELENG KABUPATEN BULELENG
Authors: Senimayura I Kadek , Agustana Putu
Published: August 2022

Upaya pengentasan kemiskinan melalui peningkatan peran desa adat sangat tepat dilakukan khususnya di Bali. Berdasarkan amanat Perda. Propinsi Bali Nomor 4 Tahun 2019 Tentang Desa Adat, maka Desa Adat Poh Bergong lewat sebuah perarem membentuk Baga Utsaha Padruwen Desa Adat ( BUPDA ) yang dikelola oleh desa adat. Berdasarkan hal tersebut di atas, maka dapat dirumuskan pokok permasalahan yang dikaji dalam penelitian ini yaitu : 1) bagaimanakah memberdayakan usaha-usaha yang tergabung dalam BUPDA Desa Adat Poh Bergong ?; 2) bagaimanakah menciptakan dan meningkatkan produk unggulan BUPDA Desa Adat Poh Bergong? Untuk menjawab permasalahan tersebut, digunakan metode penelitian kualitatif dengan maksud memperoleh gambaran yang mendalam tentang upaya pemberdayaan dalam pengelolaan BUPDA Desa Adat Poh Bergong. Pengambilan informan menggunakan teknik purposive sampling. Pengumpulan data dengan observasi, wawancara dan pemanfaatan dokumen. Dari hasil penelitian ditemukan bahwa pemberdayaan usaha-usaha yang tergabung dalam BUPDA Desa adat Poh Bergong dilakukan melalui penguatan usaha dengan memberikan kewenangan secara penuh kepada pengelola BUPDA dan membangun fasilitas pendukung usaha, pemberian bantuan modal usaha, serta pembinaan manajemen usaha kepada pengelola BUPDA. Upaya untuk menciptakan dan meningkatkan produk-produk unggulan BUPDA Desa Adat Poh Bergong dilakukan dengan pemberian pelatihan dan keterampilan untuk meningkatkan kualitas dan kuantitas produk, sosialisasi terhadap produk melalui media sosial, dan pengembangan usaha dengan merencanakan untuk membangun pasar desa adat yang akan dikelola oleh BUPDA.
IMPLEMENTASI PRINSIP – PRINSIP GOOD GOVERNANCE DALAM MENINGKATKAN KUALITAS PELAYANAN PUBLIK PADA KANTOR UPTD PELAYANAN PAJAK DAN RETRIBUSI DAERAH PROVINSI BALI DI KABUPATEN BULELENG
Authors: Andika Made Agus Wira , Sukraaliawan I Nyoman
Published: August 2022

Pelayanan publik menjadi suatu hal yang sangat penting untuk kita telusuri perkembangannya seiring dengan berlakunya Undang-Undang Nomor 33 Tahun 2004 tentang perimbangan Keuangan Antara Pemerintah Daerah dan Pemerintah Pusat. Hal ini ditambah dengan semakin kuatnya tuntutan demokratisasi dan pengakuan akan hak-hak asasi manusia yang melahirkan tuntutan terhadap manajemen pelayanan yang berkualitas. Adapun yang menjadi tujuan dalam penelitian ini adalah: 1) Bagaimanakah Implementasi Prinsip-Prinsip Good Governance Dalam Meningkatkan Kepuasan Pelayanan Publik Pada Kantor UPTD Pelayanan Pajak dan Retribusi Daerah Provinsi Bali di Kabupaten Buleleng?, 2) Apa Sajakah Faktor Penghambat Implementasi Prinsip Prinsip Good Governance Pada Kantor UPTD Pelayanan Pajak dan Retribusi Daerah Provinsi Bali di Kabupaten Buleleng, 3) Solusi Dalam Mengatasi Faktor - Faktor Penghambat Implementasi Prinsip - Prinsip Good Governance Dalam Meningkatkan Kualitas Pelayanan Publik Pada Kantor UPTD Pelayanan Pajak dan Retribusi Daerah Provinsi Bali di Kabupaten Buleleng. Teknik Analisis data menggunakan metode penelitian deskriptif tidak dimaksudkan untuk menguji hipotesa tentang masalah yang dirumuskan. Dari hasil penelitian ditemukan bahwa Implementasi Prinsip-Prinsip Good Governance dalam Meningkatkan Kepuasan Pelayanan Publik Pada Kantor UPTD Pelayanan Pajak dan Retribusi Daerah Provinsi Bali di Kabupaten Buleleng, sudah berjalan dengan baik tetapi belum optimal pelaksanaannya, sedangkan untuk faktor penghambat implementasi prinsip – prinsip Good Governance dalam meningkatkan kualitas pelayanan publik pada Kantor UPTD Pelayanan Pajak dan Retribusi Daerah Provinsi Bali di Kabupaten Buleleng kualitas dan kuantitas SDM pegawai UPTD belum memadai. Solusi dalam mengatasi faktor faktor penghambat perlu diadakannya diklat atau bintek untuk meningkatkan kualitas dan kuantitas SDM serta meningkatkan sosialisasi kepada masyarakat.
KUALITAS PELAYANAN KESEHATAN DI INSTALASI BEDAH SENTRAL RSUD KABUPATEN BULELENG
Authors: Suarnaya Gede , Suprapta I Nyoman
Published: August 2022

Pelayanan kesehatan oleh petugas di Rumah sakit merupakan suatu kegiatan dalam rangka meningkatkan derajat kesehatan yang optimal bagi masyarakat. Untuk itulah petugas harus memberikan pelayanan yang berkualitas supaya masyarakat dalam hal ini pasien dan keluarga pasien merasa puas dengan pelayanan yang diberikan dengan tetap mengutamakan keselamatan pasien. Dalam penelitian ini, beberapa pokok permasalahan dapat dirumuskan yaitu: 1) bagaimanakah kualitas pelayanan IBS RSUD Kabupaten Buleleng?; 2) apakah faktor penghambat kualitas pelayanan IBS RSUD Kabupaten Buleleng?; dan 3) bagaimanakah upaya-upaya untuk meningkatkan kualitas pelayanan IBS RSUD Kabupaten Buleleng ? Untuk menjawab permasalahan tersebut, penulis menggunakan jenis penelitian kualitatif dengan maksud memperoleh gambaran yang jelas tentang kualitas pelayanan IBS RSUD Kabupaten Buleleng. Pengambilan informan menggunakan teknik purposive sampling. Sedangkan pengumpulan datanya menggunakan teknik observasi, wawancara dan pemanfaatan dokumen. Analisis data dilakukan secara sirkuler dimana analisis dilakukan sepanjang proses penelitian,dengan tahapan ;pengumpulan data, reduksi data, penyajian data, serta simpulan dan verifikasi. Dari hasil penelitian ditemukan fakta bahwa kualitas pelayanan IBS RSUD Kabupaten Buleleng mengacu pada tolok ukur yang disebut TERRA (Tangible, Empaty, Responsiveness, Reliability, dan Assurance ). Faktor-faktor penghambat kualitas pelaksanaan pelayanan IBS RSUD Kabupaten Buleleng meliputi faktor internal yaitu SOP yang kadang terlaku kaku dalam penerapannya, dan perencanaan yang kurang matang. Sedangkan faktor eksternalnya adalah adanya masyarakat yang membandel dan memaksa untuk melanggar aturan yang telah ditetapkan. Selanjutnya upaya-upaya yang dilakukan untuk meningkatkan kualitas pelayanan di IBS RSUD Kabupaten Buleleng adalah : mengidentifikasi determinan utama kualitas layanan, mengelola ekspektasi pelanggan, mengelola bukti kualitas layanan, mendidik konsumen tentang layanan, dan menumbuhkan budaya layanan.
EVALUASI PROGRAM KELUARGA HARAPAN (PKH) SEBAGAI UPAYA PENGENTASAN KEMISKINAN DI DESA SANGGALANGIT KECAMATAN GEROKGAK KABUPATEN BULELENG
Authors: Pratama Putu Dion Wahyu , Mudarya I Nyoman
Published: August 2022

Berbagai kebijakan sudah dan sedang dilaksanakan oleh pemerintah untuk mengurangi angka dan memutus mata rantai kemiskinan, sekaligus meningkatkan sumber daya manusia. Salah satunya adalah dengan program Keluarga Harapan (PKH) untuk keluarga sangat miskin (KSM). Beberapa pokok. permasalahan dapat dirumuskan,dalam penelitian ini, yaitu : 1) Bagaimanakah pelaksanaan PKH di Desa Sanggalangit ? 2) Bagaimanakah dampak pelaksanaan PKH dalam upaya pengentasan kemiskinan di Desa Sanggalangit ? dan 3) Bagaimanakah evaluasi program keluarga harapan di Desa Sangalangit? . Penelitian ini menggunakan metode penelitian deskriptif kualitatif. Pengambilan informan menggunakan Teknik purposive sampling, sedang pengumpulan data menggunakan Teknik observasi, wawancara, dan pemanfaatan dokumen. Analisis data dilakukan secara terus-menerus selama berlangsungnya penelitian dengan tahapan : pengumpulan data, reduksi data, penyajian data, serta simpulan dan verifikasi. Dari hasil penelitian ditemukan bahwa pelaksanaan PKH di Desa Sanggalangit dipengaruhi empat variable implementasi kebijakan, yaitu : komunikasi, sumber daya, disposisi, dan struktur birokrasi. Dampak pelaksanaan PKH dalam upaya pengentasan kemiskinan di desa Sanggalangit berupa dampak positif yakni dampak yang diharapkan, dan dampak negative yakni dampak yang tidak diharapkan. Evaluasi dilakukan terhadap pelaksanaan PKH di Desa Sanggalangit, dimana evaluasi tersebut menyangkut isi kebijakan yakni PKH berhasil mengurangi angka dan memutus mata rantai kemiskinan, meningkatkan kualitas sumber daya manusia serta merubah perilaku KSM. Evaluasi pelaksanaan kebijakan yakni lebih ditekankan pada periode pencairan bantuan dan kekurangan personil pendamping PKH. Evaluasi terhadap dampak kebijakan lebih ditekankan pada bagaimana meningkatkan dampak positifnya dan mengurangi bahkan sebisanya menghilangkan dampak negatifnya.
EVALUASI PENGAMANAN PILKADA SERENTAK TAHUN 2020 (STUDI PADA PEMILIHAN BUPATI DAN WAKIL BUPATI JEMBRANA)
Authors: Sukrawan Wayan , Redana Dewa Nyoman
Published: August 2022

Dalam setiap tahapan pelaksanaan Pemilihan Bupati dan Wakil Bupati Jembrana tahun 2020, Polri bekerjasama dengan unsur TNI melaksanakan proses pengamanan untuk mengantisipasi hal-hal yang tidak diinginkan yang berpotensi mengganggu jalannya tahapan Pilkada tersebut. Terkait dengan penelitian tersebut,beberapa pokok permasalahan dapat dirumuskan yaitu : 1) bagaimanakah pelaksanaan pengamanan Pemilihan Bupati dan Wakil Bupati Jembrana tahun 2020 ?;  2) apa sajakah yang menjadi faktor pendukung dan penghambat pelaksanaan pengamanan pemilihan Bupati dan Wakil Bupati Jembrana tahun 2020 ?; dan 3) bagaimanakah evaluasi terhadap pelaksanaan pengamanan Pemilihan Bupati dan Wakil Bupati Jembrana tahun 2020? Dari hasil penelitian ditemukan bahwa pelaksanaan pengamanan pemilihan Bupati dan Wakil Bupati Jembrana tahun 2020 didukung oleh variabel komunikasi, sumberdaya, disposisi dan struktur birokrasi yang memungkinkan terlaksananya pengamanan Pilkada tersebut sehingga Pilkada berlangsung dengan aman, tertib dan lancar. Juga ditemukan bahwa faktor pendukung pelaksanaan pengamanan Pilkada Jembrana tahun 2020 adalah adanya SDM dan anggaran yang memadai, bantuan BKO dari Polda Bali, Polres Buleleng dan SPN Singaraja. Sedangkan faktor penghambatnya adalah adanya rasa lelah, bosan yang dialami oleh aparat di lapangan karena panjangnya tahapan Pilkada. Juga karena Kabupaten Jembrana ada pelabuhan penyeberangan Gilimanuk sehingga terjadi keluar masuk penduduk yang berpotensi mengganggu jalannya Pilkada dan mengganggu kamtibmas. Evaluasi terhadap pelaksanaan Pilkada Jembrana tahun 2020 perlu dilakukan dengan tujuan untuk mengetahui tingkat kinerja pengamanan tersebut, mengukur dan mengetahui berapa biaya dan manfaat dari kegiatan tersebut, dan sebagai bahan masukan bagi proses dan kegiatan yang sama di masa yang akan datang.
Pengaruh Kombinasi Pakan terhadap Kemampuan Larva Tenebrio molitor dalam Mendegradasi Limbah Masker Medis Surgical
Authors: Gesriantuti Novia , Badrun Yeeri , Yolanda Elm
Published: August 2022

Penggunaan Masker Medis Surgical yang sekali pakai menyebabkan terjadinya penumpukkan limbah masker medis yang dapat mencemari lingkungan. Salah satu metode alternatif yang digunakan untuk mendegradasi masker medis yaitu dengan menggunakan serangga Tenebrio molitor. Akan tetapi kemampuan larva T. molitor dalam mendegradasi pakan masker masih belum optimal sehingga perlu dilakukan penelitian pengaruh kombinasi pakan dengan menggabungkan limbah masker dengan limbah organik. Tujuan penelitian ini adalah untuk mengetahui kemampuan larva T. molitor mendegradasi Masker Medis Surgical yang dikombinasikan dengan limbah organik berupa Kulit Nanas, Kulit Pepaya, Ampas Tahu dan Bungkil Sawit serta mengetahui bobot badan larva. Metode yang digunakan adalah Rancangan Acak Lengkap dengan 4 perlakuan dan 3 pengulangan. Hasil dari penelitian menunjukkan bahwa Larva T. molitor mampu mendegradasi Masker Medis Surgical yang dicampur dengan limbah organik. Laju biodegradasi Masker Medis Surgical + Ampas tahu  1,75 gr/hari, Masker Medis Surgical + Kulit Pepaya 1,73 gr/hari, Masker Medis Surgical + Kulit Nanas 1,72 gr/hari, dan Masker Medis Surgical + Bungkil Sawit 1,25 gr/hari. Hasil analisis korelasi diperoleh nilai r = 0.7413, menunjukkan bahwa adanya hubungan yang kuat antara pakan Masker Medis Surgical yang dicampur limbah organik dengan pertambahan bobot badan larva.
Cybersecurity challenges in Industry 4.0: A state of the art review
Authors: Avdibasic Elmedina , Toksanovna Amanzholova Saule , Durakovic Benjamin
Published: August 2022

Cybersecurity is an important topic for Industry 4.0, which will face a lot of non-traditional challenges before it can be fully implemented to help society. The objective of the study is to recognize recent cybersecurity trends, newly occurring threats and challenges as well as their potential solutions. The articles reviewed in the paper are found through science direct, Scopus, Semantic scholar and google scholar. After reviewing them, ideas from articles were grouped together to show how different articles had similar thoughts. Through the analysis of 70 articles, it was found that cybersecurity still needs a lot of improvement in order to efficiently implement Industrial Internet of Things (IIoT), especially since many articles underline the need for security-by-design approach, followed by regular updating. Key challenges are lack of awareness and security experts, increased cybercriminal and the fact that the chain is as only as strong as its weakest point. Some of the most important solutions include incorporating security into design, stronger encryption, regular updates to patch vulnerabilities and good prevention and detection mechanisms. Once cybersecurity challenges are overcome, Industry 4.0 will be able to bloom to its full extent.
Menstruation Impact Scale Development
Authors: GÜN KAKAŞÇI Çiğdem , COŞKUNER POTUR Dilek
Published: August 2022

Aim: Although there are many measurement tools in the literature to measure menstruation attitudes and symptoms, there is a need for a specific measurement tool that measures the impacts of menstruation alone on women’s life, independent of premenstrual syndrome and dysmenorrhea. Our aim was to create a scale so that we could measure the impacts of menstruation in the study.

Materials and Methods: It is a methodological research. The sample consisted of 615 female university students. Menstrual Impact draft scale, which is developed by the researchers, subscale of Menstrual Symptom Questionnaire Negative impacts/ somatic complaints and introductory information form have been used as data collecting forms.

Results: After the factor analysis, a 14-item scale, consisting of physical and psychosocial impact subscales, was developed. The scale is a 5 point Likert type scale evaluated between “5” Strongly Agree and “1” Strongly Disagree. The minimum and maximum scores to be obtained from the overall scale are 14 and 70 respectively. As the score increases, the participant’s degree of being affected by menstruation increases as well. The total explained variance of the scale is 54.92%. The Cronbach’s alpha coefficient of the scale was 0.87.

Conclusion: The literature has been earned a valid and reliable measurement tool to specifically measure the impacts of menstruation in women’s life. Menstrual Impact Scale (MIS) is a short, practical, and easy-to-apply scale. Its validity and reliability in different cultures should be tested.
Gemini-LIGHTS: Herbig Ae/Be and Massive T Tauri Protoplanetary Disks Imaged with Gemini Planet Imager
Authors: Rich Evan A. , Monnier John D. , Aarnio Alicia , Laws Anna S. E. , Setterholm Benjamin R. , Wilner David J. , Calvet Nuria , Harries Tim , Miller Chris , Davies Claire L. , Adams Fred C. , Andrews Sean M. , Bae Jaehan , Espaillat Catherine , Greenbaum Alexandra Z. , Hinkley Sasha , Kraus Stefan , Hartmann Lee , Isella Andrea , McClure Melissa , Oppenheimer Rebecca , Pérez Laura M. , Zhu Zhaohuan
Published: August 2022

We present the complete sample of protoplanetary disks from the Gemini- Large Imaging with the Gemini Planet Imager Herbig/T Tauri Survey, which observed bright Herbig Ae/Be stars and T Tauri stars in near-infrared polarized light to search for signatures of disk evolution and ongoing planet formation. The 44 targets were chosen based on their near- and mid-infrared colors, with roughly equal numbers of transitional, pre-transitional, and full disks. Our approach explicitly did not favor well-known, “famous” disks or those observed by the Atacama Large Millimeter/submillimeter Array, resulting in a less-biased sample suitable to probe the major stages of disk evolution during planet formation. Our optimized data reduction allowed polarized flux as low as 0.002% of the stellar light to be detected, and we report polarized scattered light around 80% of our targets. We detected point-like companions for 47% of the targets, including three brown dwarfs (two confirmed, one new), and a new super-Jupiter-mass candidate around V1295 Aql. We searched for correlations between the polarized flux and system parameters, finding a few clear trends: the presence of a companion drastically reduces the polarized flux levels, far-IR excess correlates with polarized flux for nonbinary systems, and systems hosting disks with ring structures have stellar masses <3 M⊙. Our sample also included four hot, dusty “FS CMa” systems, and we detected large-scale ( >100 au) scattered light around each, signs of extreme youth for these enigmatic systems. Science-ready images are publicly available through multiple distribution channels using a new FITS file standard that has been jointly developed with members of the Very Large Telescope Spectro-polarimetric High-contrast Exoplanet Research team.
Tidal Distortions in NGC1052-DF2 and NGC1052-DF4: Independent Evidence for a Lack of Dark Matter
Authors: Keim Michael A. , Dokkum Pieter van , Danieli Shany , Lokhorst Deborah , Li 李 Jiaxuan 嘉轩 , Shen Zili , Abraham Roberto , Chen Seery , Gilhuly Colleen , Liu 刘 Qing 青 , Merritt Allison , Miller Tim B. , Pasha Imad , Polzin Ava
Published: August 2022

Two ultra-diffuse galaxies in the same group, NGC1052-DF2 and NGC1052-DF4, have been found to have little or no dark matter and to host unusually luminous globular cluster populations. Such low-mass diffuse objects in a group environment are easily disrupted and are expected to show evidence of tidal distortions. In this work, we present deep new imaging of the NGC1052 group, obtained with the Dragonfly Telephoto Array, to test this hypothesis. We find that both galaxies show strong position-angle twists and are significantly more elongated at their outskirts than in their interiors. The group’s central massive elliptical NGC1052 is the most likely source of these tidal disturbances. The observed distortions imply that the galaxies have a low total mass or are very close to NGC1052. Considering constraints on the galaxies’ relative distances, we infer that the dark matter halo masses of these galaxies cannot be much greater than their stellar masses. Calculating pericenters from the distortions, we find that the galaxies are on highly elliptical orbits, with a ratio of pericenter to present-day radius R
peri/R
0 ∼ 0.1 if the galaxies are dark matter–free and R
peri/R
0 ∼ 0.01 if they have a normal dark halo. Our findings provide strong evidence, independent of kinematic constraints, that both galaxies are dark matter–deficient. Furthermore, the similarity of the tidal features in NGC1052-DF2 and NGC1052-DF4 strongly suggests that they arose at comparable distances from NGC1052. In Appendix A, we describe sbcontrast, a robust method for determining the surface brightness limits of images.
Burst–Disk Interaction in 4U 1636–536 as Observed by NICER
Authors: Güver Tolga , Bostancı Z. Funda , Boztepe Tuğba , Göğüş Ersin , Bult Peter , Kashyap Unnati , Chakraborty Manoneeta , Ballantyne David R. , Ludlam R. M. , Malacaria C. , Jaisawal Gaurava K. , Strohmayer Tod E. , Guillot Sebastien , Ng Mason
Published: August 2022

We present the detection of 51 thermonuclear X-ray bursts observed from 4U 1636–536 by the Neutron Star Interior Composition Explorer (NICER) over the course of a 3 yr monitoring campaign. We perform time-resolved spectroscopy for 40 of these bursts and show the existence of a strong soft excess in all the burst spectra. The excess emission can be characterized by the use of a scaling factor (the f

a
method) to the persistent emission of the source, which is attributed to the increased mass accretion rate onto the neutron star due to Poynting–Robertson drag. The soft excess emission can also be characterized by the use of a model taking into account the reflection of the burst emission off the accretion disk. We also present time-resolved spectral analysis of five X-ray bursts simultaneously observed by NICER and AstroSat, which confirm the main results with even greater precision. Finally, we present evidence for Compton cooling using seven X-ray bursts observed contemporaneously with NuSTAR, by means of a correlated decrease in the hard X-ray lightcurve of 4U 1636–536 as the bursts start.
Formation of CO through C (2s
22p
2
3P) and O (2s
22p
4
3P) Radiative Association
Authors: Meng Han , Qin Zhi , Liu Linhua
Published: August 2022

The formation of CO through the radiative association of the carbon (C, 2s
22p
2
3P) and oxygen (O, 2s
22p
4
3P) atoms is investigated. The corresponding cross sections and rate coefficients for temperatures T = 10–10,000 K are calculated using the quantum-mechanical approach based on ab initio potential energy curves, permanent dipole moments, and transition dipole moments, which are obtained by the internally contracted multi-reference configuration interaction method with the Davidson correction and aug-cc-pwCV5Z-DK basis set. All dipole-allowed transitions between singlet, triplet, and quintet states converging to the C (2s
22p
2
3P) + O (2s
22p
4
3P) dissociation limit are considered. Compared to the previous results that only contain the X1Σ+ → X1Σ+, A1Π → X1Σ+, and B1Σ+ → X1Σ+ transitions, our results suggest that the a′3Σ+ → a3Π and d3Δ → a3Π transitions make significant contributions to the radiative association for T = 10–30 K. The total rate coefficient at low temperatures is estimated to be about 10−18 cm3 s−1, which shows significant deviation from the previous results, where only three transitions were considered. New rate coefficients may improve the chemical modeling of CO in the low-density region of the interstellar medium.
Clavis: An open and versatile identification key format
Authors: Koch Wouter
Published: August 2022

The skills and knowledge needed to recognize and classify taxa are becoming increasingly scarce, as research and management face a “taxonomic impediment”, where taxonomic knowledge is gradually disappearing from the scientific community (Engel et al. 2021). At the same time, it is clear that these skills are strongly needed in biodiversity monitoring for management and conservation, especially when carried out by citizen scientists. Formalizing the required knowledge in the form of digital identification keys is one way of making such knowledge more available for professional and amateur observers of biodiversity. Having a fully open and well-defined, platform-independent format is essential in ensuring that identification keys and the tools needed to display and create them remain both interoperable, interpretable across platforms, and freely available to all. A number of digital identification key formats exist (Dallwitz 1980, Identic Pty Ltd. 2022), but these are limited in what they can represent, their ease of use, openness, etc. A well-defined, open format addressing this alleviates the technical burden in capturing taxonomic knowledge for future use. With this poster, we present Clavis, a modern data format schema for capturing knowledge required for taxon identification through digital keys, allowing for a level of detail beyond that of any current key format (Koch et al. 2022). Clavis is fully open and supports multilingualism, geographical information, extended documentation and metadata, external services, non-binary characteristics, and more.
A Practical Approach to Publishing and Using Event-based Biodiversity Data
Authors: Molina Javier , Mendez Federico , Kelly Dax , Martin David , Palmer Doug
Published: August 2022

Despite the rapid growth of biodiversity data within global and national biodiversity infrastructures, the types of data available in these infrastructures are limited. In particular, the lack of data that captures presences/absences of species over multiple survey or sampling events has been identified as a major weakness of the Global Biodiversity Information Facility (GBIF) and the Atlas of Living Australia (ALA).

The ALA, in collaboration with GBIF, have started work to deliver improved access to data types in the short-term by focusing on event-based biodiversity data, like from expeditions or ecological surveys, as part of the ALA Extended Data Model project.

The ALA takes an opinionated approach to publishing event-based biodiversity data using Event Core Darwin Core Archives (DwCA), adding fields and vocabularies to Darwin Core that represent nested events, and link occurrence records to a parent event (based on The Ocean Biogeographic Information System (OBIS) ENV-DATA). They have currently developed a pilot system to showcase how data are published, and a user interface for querying and downloading data directly from the system.

Through this collaboration to create a pilot event-based system, GBIF aims to enhance its indexing and representation of event-based data by trialling a demonstration tool to explore event data. This tool will also allow for feedback for the new GBIF extended data model tasks.

Publishing event-based biodiversity data will make information like collection methods, sampling effort, and species presence/absence accessible. This data, in addition to existing occurrence data, will allow people to answer more detailed ecological questions using more complex statistical analyses of species distributions over time.
Cataloging Essential Biodiversity Variables with the EBV Data Portal
Authors: Langer Christian , Fernández Néstor , Quoß Luise , Valdez Jose , Fernandez Miguel , Pereira Henrique
Published: August 2022

Essential Biodiversity Variables (EBVs) are used to monitor the status and trends in biodiversity at multiple spatiotemporal scales. These provide an abstraction level between raw biodiversity observations and indicators, enabling better access to policy-relevant biodiversity information. Furthermore, the EBV vision aims to support detection of critical change, among other things, with easy to use tools and dashboards accessible to a variety of users and stakeholders.

We present the EBV Data Portal, a platform for distributing and visualizing EBV datasets. It contains a geographic cataloging system that supports a large number of spatiotemporal and EBV specific attributes and enables their discoverability. To facilitate user interaction, it offers a web-based interface where users can upload, discover and share essential biodiversity spatiotemporal data through intuitive interaction with cataloging and visualization tools. Using the EBV Catalog, the user can explore the characteristics of the data based on the definition of the EBV Cube standard*1. The Catalog also allows browsing of the description of the metadata in the specifications of the Attribute Convention for Data Discovery (ACDD) and in the Ecological Metadata Language (EML) vocabulary. This enables easy interoperability with other metadata catalogs.

An example application is the calculation of summary statistics for selected countries. Using the EBV Data Portal, users can select EBV datasets and calculate basic biodiversity change metrics from spatiotemporal subsets and conveniently visualize complex, multidimensional biodiversity datasets. These visualization and analysis tools of the EBV Data Portal are a first step towards an EBV-based dashboard for biodiversity analyses.
Transforming Closed Silos into Shared Resources: Opening up data on historical collection agents affiliated with the Museum für Naturkunde Berlin
Authors: von Mering Sabine , Kaiser Katja , Petersen Mareike
Published: August 2022

Many natural science collections (NSCs) and museums keep information about collectors and other collection agents affiliated with their specimens and respective institution in internal catalogues, databases or wikis. Despite the fact that people data are crucial for linking collection objects, expeditions, publications, archival material, correspondence, etc. (Page 2016, Groom et al. 2020), such data are often only available internally, with limited or no access for external users.

In the past, collectors have often been active in multiple fields, gathering e.g., zoological and botanical as well as ethnological or anthropological objects. This transdisciplinary collecting practice, in addition to the tradition of exchanging duplicates between institutions, results in a large overlap of people affiliated with different collections. Opening up available data will improve data quality in collection databases, support the disambiguation of collection agents (Dillen et al. 2021) and allow cross-disciplinary reuse of the data.

Within a pilot study conducted at the Museum für Naturkunde Berlin (MfN), the information kept in an internal “MfN collector wiki” is made available via Wikidata. Wikidata is a free and open knowledge base that is collaborative and multilingual, and can be edited by anyone in the world. Wikidata stores structured data that are both human and machine readable, and it serves as a hub/broker for other identifiers (Vrandečić and Krötzsch 2014).

An innovative open participatory approach is taken using edit-a-thons, involving

MfN staff (collection manager, scientific heads of collections, scientists, etc.) to add and update information ‘passively’ available within the institution, and

the wider public, e.g., citizen scientists and other interested parties.

MfN staff (collection manager, scientific heads of collections, scientists, etc.) to add and update information ‘passively’ available within the institution, and

the wider public, e.g., citizen scientists and other interested parties.

Wikidata items are newly created or updated and enriched with additional information, also linking to collections, archives, and libraries.

In this talk we will present the method and preliminary results of our study. One focus will be ‘hidden champions’ such as women scientists and local collectors, to make their contribution to global natural heritage visible. Another focus will be on collections from the era of European colonial expansion until the beginning of the 20th century, especially the former German colony, Cameroon.

The number of institutions openly sharing data is increasing. However, following the TDWG 2022 conference motto “Stronger together”, we call for others to join in sharing data using persistent (people) identifiers and standards.
State of the (Re-)Ratification of ABCD 2.06 and ABCD EFG under the SDS Guidelines
Authors: Fichtmueller David , Petersen Mareike , Glöckler Falko , Güntsch Anton
Published: August 2022

ABCD (Access to Biological Collection Data, Holetschek et al. 2012) 2.06 was ratified by Biodiversity Information Standards (TDWG) in September 2005. In 2017, TDWG ratified the Standards Documentation Standard (SDS, Vocabulary Maintenance Specification Task Group 2017), which is a set of regulations and guidelines on how TDWG standards should be structured and documented. Since then, ABCD has been classified with “2005 standards” on the TDWG standards website. However, with the planned ratifications of the ABCD Extension for Geoscience (ABCD EFG, Petersen et al. 2018) and the more semantic ABCD 3.0 (Fichtmueller et al. 2019), it became necessary to also ratify ABCD 2.06 under the SDS rules.

In this talk, we will report on the progress of the ratification processes, both for ABCD 2.06 and ABCD EFG. In particular we want to address the specific challenges that arose from fitting existing XML schemas into the SDS structure and documenting them accordingly.
Growth and Collaboration in the Atlas of Living Australia
Authors: Newman Peggy , Holewa Hamish , Wallis Elycia
Published: August 2022

Over the past three years, the Atlas of Living Australia (ALA), a data infrastructure in its own right and the Australian node of the Global Biodiversity Information Facility (GBIF), has been both enjoying both rapid growth (now with over 50 employees covering a broad project portfolio), and maturing as an organisation with formal processes in place for strategy and workplan development, project management and planning.

Having recently upgraded our core infrastructure to align with GBIF and now sharing a code base for our data ingestion pipelines, we have been working on extending the occurrence data model with a focus on ecological survey sites and events and will continue to participate in the development of GBIF's diversified data model. We have been developing a framework with our jurisdictional agencies for managing restricted data, which will see us develop our Sensitive Data Service to handle a broader range of data sensitivity scenarios than the current system, which obfuscates by species rules only, whereas there are requirements to manage sensitivity at the levels of dataset, provider or location. We have begun a cross-agency project for aggregating genomic data for Australian species from multiple platforms, and a new technical roadmap will guide us as we redevelop and modernise our suite of web services and applications.

This presentation will give a very brief overview of our current major project work, relating it to our stated strategies to deliver trusted data and robust services, partner for impact, and support decision making.
Variational problems of variable fractional order involving arbitrary kernels
Authors: Almeida Ricardo
Published: August 2022

The aim of this work is to study several problems of the calculus of variations, where the dynamics of the state function is given by a generalized fractional derivative. This derivative combines two well-known concepts: fractional derivative with respect to another function and fractional derivative of variable order. We present the Euler–Lagrange equation, which is a necessary condition that every optimal solution of the problem must satisfy. Other problems are also studied: with integral and holonomic constraints, with higher order derivatives, and the Herglotz variational problem.
A new self-adaptive inertial algorithm with $ W $-mapping for solving split feasibility problem in Banach spaces
Authors: Wang Meiying , Shi Luoyi
Published: August 2022

In this paper, the split feasibility problem is studied in real Banach spaces. Through the $ W $-mapping, a new iterative algorithm with the inertial technique for solving the split feasibility problem is proposed, which the step size is self-adaptive and no prior estimation of operator norm is required. We prove that the proposed algorithm converges weakly to a solution of the split feasibility problem under some mild conditions. Finally, the effectiveness of the proposed algorithm is indicated by numerical experiments. Our results are innovative and can enrich recently announced related results in the literature.
Comparative study of vertex-edge based indices for semi-capped carbon nanotubes
Authors: Huang Qingqun , Ahmad Ali , Jamil Muhammad Kamran , Luo Ricai , Azeem Muhammad
Published: August 2022

Manufacturing relatively inexpensive items in every area of engineering and science is the major focus of exploration resultant the world's contemporary economic setback. Making small-sized items that are inexpensive and lightweight while providing high quality is critical in today's and tomorrow's worlds. Nanotechnology has a significant role to play in this situation. Nano-objects or, in general, nanomaterials are especially preferred; nanotubes, especially those comprised of carbon, are one of the most popular types of nanostructures, and they are applied in a variety of chemical, biological and technical applications. This notion prompted us to investigate their many physical and chemical characteristics. We utilized topological descriptors to evaluate diverse nanotube structures such as armchair carbon and semi-capped nanotubes by using vertex-edge based indices to characterize distinct chemical structures via numerical quantitative analysis. Furthermore, we examined uncapped and semi-capped armchair carbon nanotubes and achieved adequate comparative findings.
The role of massive demographic databases in intractable illnesses: Denomics for dementia
Authors: Stecker Mark M. , Peltier Morgan R. , Reiss Allison B.
Published: August 2022

Despite intensive research, effective treatments for many common and devastating diseases are lacking. For example, huge efforts and billions of dollars have been invested in Alzheimer's disease (AD), which affects over 50 million people worldwide. However, there is still no effective drug that can slow or cure AD. This relates, in part, to the absence of an animal model or cellular system that incorporates all the relevant features of the disease. Therefore, large scale studies on human populations and tissues will be key to better understanding dementia and developing methods to prevent or treat it. This is especially difficult because the dementia phenotype can result from many different processes and is likely to be affected by multiple personal and environmental variables. We hypothesize that analyzing massive volumes of demographic data that are currently available and combining this with genomic, proteomic, and metabolomic profiles of AD patients and their families, new insights into pathophysiology and treatment of AD may arise. While this requires much coordination and cooperation among large institutions, the potential for advancement would be life-changing for millions of people. In many ways this represents the next step in the information revolution started by the Human Genome Project.
Collaborative Edge Computing Advances in Children's Behavior Observation for Social Internet of Things Systems in Preschool Education
Authors: Liu Danqing , Liu Luqun
Published: August 2022

Teachers who observe and analyze children's conduct can learn more about children and the reasons for their behavior. Promoting the fusion of adult and preschool vision through discussion is a basic competency of preschool teachers.Social Internet of Things (SIoT) uses recent advances in collaborativeand social relationships among SIoT users to take advantage of the network's strengths while posing new challenges.With the help of the theory of development, behavioral cues, and individual circumstances, a thorough and holistic interpretation can be made of children's behavior.There is a brief introduction to the concepts of collaborative edge computing and data storage in addition to examples of various socially-minded solutions; for long last, a list of research obstacles is provided. When measured numerically, the ECBO has a positive impact on student accomplishment (97.9%), developmental progress (95.3%), interpersonal interaction (94.6%), parental participation (98.5%), and attention ratio (98%).
Heart Rate Estimation in Sports Based on Multi-Sensor Data for Sports Intensity Prediction
Authors: Zhang Feng
Published: August 2022

The heart rate (HR) is the most common measurement of the cardiovascular system. It reflects not only the cardiovascular function, but also the degree of recovery, and has high reliability. The heart rate monitoring can be used in athlete selection, sports training, medical supervision, and fitness to avoid the blindness of exercise intensity arrangement, provide an objective quantitative standard for scientific fitness, and improve the sports performance through monitoring sports intensity. In order to accurately predict the sports intensity, this paper adopts ECG signals and pulse wave to learn an ordinal regression model that can utilize the order relation between different sports intensity level. The experimental results have demonstrated the effectiveness of the proposed sports intensity method.