bluuebunny/crossref_metadata_2025_split huggingface dataset:
Urgensi Pelestarian Ekosistem Lingkungan Fisik Pada Destinasi Wisata: Pengalaman dari Kawasan Ekowisata Hutan Mangrove Batu Lumbang, Denpasar, Bali
Authors: Mursyid Harsanto , Bayu Aji Khusnul , Panuntun Madina Dwi , Faris Ihsan M. Adika , Pinem Milda Longgeita 
Published: July 2022

The purpose of this study is to disclose the importance of preserving the Batu Lumbang mangrove forest in Denpasar, Bali. The mangrove forest is notable for its high biodiversity rate, and it is also become a popular tourist destination at the same time. This study employs convergent parallel mixed-methods data collection, which includes observation, mapping with Google Earth and Landsat 8 satellite imagery, semi-structured interviews with relevant key informants, and a literature review. Afterwards, descriptive techniques are used to analyse the data. The results indicate that the Batu Lumbang mangrove forest has a coverage area of approximately 85.9 Ha, with a rainfall tension of approximately 100 mm/year in the rain season and 60 mm/year in the dry season. Sixteen vegetation species were discovered in the mangrove forest compound, all of which are common in lowland and mangrove ecosystems. There are also 36 species of fauna, the majority of which are bird and avian in nature. Furthermore, changes in land cover indicate a vibrant ecosystem in the Batu Lumbang mangrove forest area. So far, three types of land cover have been identified: mangrove forests, water bodies and the built environment. Mangrove forests remain dominant among these three, accounting for 60.35 %. As a result, it is no wonder that mangroves have become the primary tourist attraction in Batu Lumbang. Some preservation efforts related to tourism activities that can be made based on its ecological value include: establishing a system of visitor management, dealing with waste problems, and spatial management in areas with high biodiversity as a form of rigorous conservation initiative.
Keywords: preservation, ecosystem, mangrove, tourist destination, batu lumbang.
Bad Altitude: Categorizing Elevation Produces Spurious Association With Concussions in the National Football League (NFL)
Authors: Binney Zachary O. , Smoliga James M. 
Published: July 2022

OBJECTIVE: To assess whether prior analyses, where there was a relationship between altitude and concussion rates in American football, would replicate using a larger data set and altitude as a continuous variable. DESIGN: Cohort study replication. METHODS: We analyzed data from all NFL regular season games from 2012–2019. Concussions were identified from public databases and NFL injury reports. The altitude of each stadium was identified using mapping software. Concussion rates were calculated for each stadium and plotted against continuous altitude. We calculated crude rate ratios for several categorical cut points and used logistic and Poisson regression models to assess associations with continuous altitudes. RESULTS: We identified 867 players (1103 player seasons) who sustained 1159 concussions during the time period 2012–2019. All continuous plots and models showed no evidence of any association between concussions and altitude. A Poisson model found an IRR of 1.00 (95% CI, 0.99–1.01) for every 100-ft increase in altitude. A 644-ft cut point (used in previous studies) produced a significant difference (incidence rate ratio [IRR], 0.71; 95% CI, 0.54–0.94) in 2012–2013, but this did not replicate in 2014–2019 (IRR, 0.99; 95% CI, 0.84–1.14). CONCLUSION: We found no association between altitude and concussion rates in the NFL when altitude was analyzed continuously rather than inappropriately categorized. Our findings should increase skepticism of any effect of altitude on concussions at the elevations at which most American football is played, as well as clinical interventions based on that theory. It also underscores the importance of keeping continuous variables continuous wherever possible. J Orthop Sports Phys Ther 2022;52(10):694–701. Epub: 27 July 2022. doi:10.2519/jospt.2022.11220
Diagnosing, Managing, and Supporting Return to Work of Adults With Rotator Cuff Disorders: A Clinical Practice Guideline
Authors: Lafrance Simon , Charron Maxime , Roy Jean-Sébastien , Dyer Joseph-Omer , Frémont Pierre , Dionne Clermont E. , Macdermid Joy C. , Tousignant Michel , Rochette Annie , Doiron-Cadrin Patrick , Lowry Véronique , Bureau Nathalie , Lamontagne Martin , Sandman Emilie , Coutu Marie-france , Lavigne Patrick , Desmeules François 
Published: July 2022

OBJECTIVE: To develop a clinical practice guideline covering the assessment, management, and return to work of adults with rotator cuff disorders. DESIGN: Clinical practice guideline. METHODS: Using systematic reviews, appraisal of the literature, and an iterative approach to obtain consensus from key stakeholders, clinical recommendations and algorithms were developed in the context of the health care system and work environment of the province of Quebec (Canada). RESULTS: Recommendations (n = 73) and clinical decision algorithms (n = 3) were developed to match the objectives. The initial assessment should include the patient's history, a subjective assessment, and a physical examination. Diagnostic imaging is only necessary in select circumstances. Acetaminophen, nonsteroidal anti-inflammatory drugs, and injection therapies may be useful to reduce pain in the short term. Clinicians should prescribe an active and task-oriented rehabilitation program (exercises and education) to reduce pain and disability in adults with rotator cuff disorders. Subacromial decompression is not recommended to treat rotator cuff tendinopathy. Surgery is appropriate for selected patients with a full-thickness rotator cuff tear. A return-to-work plan should be developed early, in collaboration with the worker and other stakeholders, and must combine multiple strategies to promote return to work. CONCLUSION: This clinical practice guideline was developed to assist the multidisciplinary team of clinicians who provide health care for adults with a rotator cuff disorder. The CPG guides clinical decisionmaking for diagnosis and treatment, and planning for successful return to work. J Orthop Sports Phys Ther 2022;52(10):647–664. Epub: 27 July 2022. doi:10.2519/jospt.2022.11306
Compliance level difference of tele-exercising obese office employee on body weight and body fat
Authors: Kuswari Mury , Rimbawan Rimbawan , Hardinsyah Hardinsyah , Dewi Mira , Gifari Nazhif 
Published: July 2022

The problem of overnutrition and obesity tend to increase year by. Office employee are susceptible to physical inactivity and obesity. In context of current pandemic, exercising via online media, termed ‘tele-exercise’ may be an effective alternative intervention. However, the effect of compliance and timing of exercise on overall health-related output are still not often discussed. The purpose of the study is to compare the effect of tele-exercise done during working hours vs. after working hours on obese office employee’s weight loss and improvement of body fat percentage, as well as their relation to compliance level. The design of this study is quasi-experimental design, with obese office employee as participants, which then grouped into after work exercise (AW, n = 36, 1-hour duration) and mid-work exercise (DW, n = 21, 30-minute duration). Total sampling was used since the target population were under 100 people. Exercises were done 3 times/week for 12 weeks. Data collected were sample characteristics, bodyweight, and percentage of body fat. Both timing of intervention is effective on reducing body weight significantly (p<0.05). Significant reduction (p<0.05) on percentage of body fat is only occurring in DW group. Compliance level for AW and DW group are 63.75% and 61.23%, respectively, and being insignificant to each other (p>0.05). The contribution of compliance in shorter exercise/DW on body fat loss and weight loss is 23.1% and 20.9%, respectively; while the contribution of compliance in longer exercise/AW is 11.3% on body weight loss. A short, mid-working exercise have the similar or even better effect than 1-hour after-work exercise session on weight loss and body fat loss. We recommend tele-exercising during working hours for at least 30 minutes to achieve significant body weight and body fat loss.
Le deepfake et son métadiscours : l’art de montrer que l’on ment
Authors: LLOVERIA Vivien 
Published: July 2022

Comment peut-on montrer le deepfake dans les médias ? Notre hypothèse est que toute communication sur le deepfake, textuelle ou visuelle, s’accompagne nécessairement d’un métadiscours plus ou moins volontaire et plus ou moins explicite pour « montrer que l’on ment ». À travers l’étude d’écrits journalistiques et d’exemplaires visuels, nous allons tenter d’explorer et de rendre compte de la variété de ces métadiscours, tant sur le plan de l’expression que sur celui du contenu.
PENGARUH KEPEMIMPINAN DAN BUDAYA ORGANISASI TERHADAP KINERJA BADAN PENYELENGGARA JAMINAN SOSIAL (BPJS) KETENAGAKERJAAN
Authors: Manunggal Yessy putri 
Published: July 2022

Penelitian ini bertujuan untuk mengetahui pengaruh pada variabel kepemimpinan, budaya organisasi serta kinerja Pegawai di BPJS Ketenagakerjaan Cabang Yogyakarta, dalam penelitian ini diawali dengan pengumpulan data menggunakan angket yang dilaksanakan di BPJS Ketenagakerjaan Cabang Yogyakarta. Populasi penelitian ini adalah seluruh karyawan BPJS Ketenagakerjaan Cabang Yogyakarta yang berjumlah 50 orang dengan pengambilan sampel menggunakan metode sensus.Â Analisis data yang digunakan uji validitas dan reliabilitas, pengujian uji asumsi klasik. Baru setelah itu dilakukan uji regresi linier berganda. Hasil penelitian menunjukkan bahwa kepemimpinan berpengaruh signifikan terhadap kinerja karyawan, budaya organisasi berpengaruh signifikan terhadap kinerja karyawan, kepemimpinan berpengaruh signifikan terhadap budaya organisasi serta secara bersama-sama kepemimpinan dan budaya organisasi berpengaruh signifikan terhadap kinerja karyawan BPJS Ketenagakerjaan Cabang YogyakartaKata Kunci : Kepemimpinan, budaya organisasi, kinerja
MEDIASI PROFITABILITAS PADA PENGARUH STRUKTUR MODAL DAN PERTUMBUHAN PERUSAHAAN TERHADAP NILAI PERUSAHAAN
Authors: Zulfa Saniyyatuz 
Published: July 2022

Â In general, this study aims to test the mediation of profitability on the influence of capital structure and company growth on the value of telecommunications companies. The sample of the research object is used 30 from the 5 annual report periods of 6 telecommunications companies listed on the Indonesia stock exchange. The results obtained are then processed using path analysis method with the help of SPSS and SmartPLS. The results of this study indicate that the R-square value is 0.2803 and the R-square value of the profitability variable is 0.008 which indicates that construct variability especially profitability cannot be explained by the variability of the capital structure construct and growth because it is only 0.08% . From the results of hypothesis testing it was found that profitability cannot mediate the effect of capital structure and company growth on the value of telecommunications companies. Direct influence is obtained only on the relationship of capital structure and profitability to the value of the company, besides that the hypothesis of direct influence is rejected.Â Keywords: Mediation, Profitability, Capital Structure, Company Growth, Corporate Value, Telecommunications Company, Indonesia Stock Exchange
ESTRATEGIA PAMDDEC PARA LA CONVIVENCIA FAMILIAR EN PANDEMIA Y POSPANDEMIA
Authors: Cajandilay Díaz Eduardo 
Published: July 2022

La pandemia de la Covid-19 ha planteado un escenario incierto. Los gobiernos asumieron diversas medidas para cuidar la salud física de la población. Sin embargo, ante la amenaza de contagio, vulnerabilidad, necesidad económica derivada de la informalidad, sistemas de salud débiles, sobrecarga informativa de la prensa y redes, se abre la necesidad de reflexionar acerca de otro tipo de salud, además de la física: la salud mental y emocional de la familia, de la convivencia en el hogar. El estudio plantea la estrategia “Pamddec”, un conjunto de actividades que se realizan en familia, aprovechando que se estuvo más tiempo en casa y que puede proyectarse en pospandemia. La investigación fue de tipo descriptivo-propositiva, su objetivo fue es aplicar la estrategia diseñada en siete familias, en respuesta al tiempo de pandemia, para garantizar una sana convivencia. Se estructuraron dos encuestas online: la primera aplicada a 30 estudiantes de educación secundaria, y la segunda aplicada a 70 docentes. Las 100 personas encuestadas aportaron información relevante para delimitar la situación-problema. Para los resultados, se elaboró una entrevista que buscó conocer los efectos de la estrategia en los hogares. El resultado permitió consolidar la estrategia, cuyas actividades permitieron aminorar el impacto de la pandemia en la convivencia familiar.
Deteksi Gerakan Tangan menggunakan Support Vector Machine pada Dumbbell Berbasis Raspberry Pi Zero
Authors: SARTIKA ERWANI MERRY , DARMAWAN AAN , JAYA WILLIAM EKA , WIANTO ELIZABETH 
Published: July 2022

ABSTRAKOlahraga yang dilakukan di mana saja, dapat menggunakan alat sederhana seperti dumbbell. Latihan yang dilakukan harus sesuai usia dan kondisi kesehatan secara umum. Sebuah sistem diperlukan untuk mendeteksi gerakan sehingga membantu pemakai dalam menggunakan dumbbell. Dumbbell dilengkapi oleh sensor Inertial Measurement Unit (IMU), single board computer Raspberry Pi Zero W, dan LED RGB. Gerakan akan dideteksi oleh sensor Inertial Measurement Unit (IMU) yang dikirim ke Raspberry Pi Zero W untuk dilakukan preprocessing data. Algoritma Support Vector Machine (SVM) digunakan untuk mendapatkan model pendeteksi gerakan olahraga pada dumbbell. Bila gerakan terdeteksi maka Raspberry Pi Zero W akan memberi perintah LED RGB untuk menyalakan warna tertentu sesuai dengan deteksi gerakan. Berdasarkan hasil uji coba yang dilakukan kepada 5 orang dengan gerakan yang dideteksi sebanyak 6 gerakan, dumbbell pendeteksi gerakan memiliki tingkat keberhasilan sebesar 90%-94%.Kata kunci: dumbbell, deteksi gerakan, Raspberry Pi Zero W, SVM ABSTRACTExercises that can be done anywhere, can use simple tools such as dumbbells. Exercises should be appropriate for age and general health conditions. A system is needed to detect motion so as to assist the wearer in using the dumbbells. The dumbbell is equipped with an Inertial Measurement Unit (IMU) sensor, a single board computer Raspberry Pi Zero W, and RGB LEDs. Movement will be detected by the Inertial Measurement Unit (IMU) sensor which is sent to the Raspberry Pi Zero W for preprocessing the data. The Support Vector Machine (SVM) algorithm is used to obtain a sports motion detection model on dumbbells. If motion is detected, the Raspberry Pi Zero W will give an RGB LED command to turn on certain colors according to motion detection. Based on the results of trials conducted on 5 people with 6 movements detected, motion detection dumbbells have a success rate of 90%-94%.Keywords: dumbbell, motion detection, Raspberry Pi Zero W, SVM
Klasifikasi Tingkat Kematangan Pucuk Daun Teh menggunakan Metode Convolutional Neural Network
Authors: IBRAHIM NUR , LESTARY GITA AYU , HANAFI FANIESA SAUFANA , SALEH KHAERUDIN , PRATIWI NOR KUMALASARI CAECAR , HAQ MUTHIA SYAFIKA , MASTUR ADHI IRIANTO 
Published: July 2022

ABSTRAKIndonesia merupakan salah satu negara besar pengekspor teh di dunia. Luasnya area perkebunan teh menyebabkan setiap blok tanam daun teh memiliki waktu petik dan tingkat kematangan yang berbeda. Sehingga salah satu upaya untuk mengetahui tingkat kematangan daun teh yaitu menerapkan sistem otomatisasi menggunakan pengolahan citra digital. Pada penelitian ini dirancang sebuah sistem klasifikasi tingkat kematangan pucuk daun teh dari jenis sampel varietas Assamica Klon (GMB 7) yang yang berada pada Pusat Penelitian Teh dan Kina Gambung. Penelitian ini menerapkan metode pengolahan citra digital dengan algoritma Convolutional Neural Network (CNN) menggunakan Arsitektur VGGNET19 dan ResNet50. Hasil pengujian sistem memperoleh nilai akurasi terbaik sebesar 97.5% dengan menggunakan arsitektur VGGNET19, Optimizer RMSprop, learning rate 0.01, batch size 32 dan epoch 100.Kata kunci: teh, klasifikasi, Convolutional Neural Network, VGGNET19, ResNet50 ABSTRACTIndonesia is one of the major tea exporting countries in the world. The large area of tea plantations causes each tea leaves planting block to have a different picking time and maturity level. So that one of the efforts to determine the maturity level of tea leaves is to apply an automation system using digital image processing. In this study, a classification system for the maturity level of tea leaves design from the Assamica Klon (GMB 7) variety sample located at the Gambung Tea and Quinine Research Center. This study applies a digital image processing method with the Convolutional Neural Network (CNN) algorithm using VGGNET19 and ResNet50 Architecture. The results of the system test obtained the best accuracy value of 97.5% using the VGGNET19 architecture, RMSprop Optimizer, learning rate 0.01, batch size 32 and epoch 100.Keywords: tea, classification, Convolutional Neural Network, VGGNET19, ResNet50
Metode Potential Field sebagai Kendali Robot Roda Omni untuk Menuju Target dan Menghindari Rintangan
Authors: WAHAB FAISAL 
Published: July 2022

ABSTRAKRobot roda omni (OMR) merupakan salah satu jenis robot tipe holonomic, yaitu robot yang dapat bergerak ke segala arah tanpa harus mengubah orientasi dari robot itu sendiri. Dalam pengembangannya, OMR dapat ditambahkan kemampuan lain seperti menuju ke titik yang diinginkan dan menghindari rintangan. Pada makalah ini akan merancang dan mensimulasikan OMR dengan konfigurasi tiga buah roda omni menggunakan metode potential field yang dapat bergerak menuju titik yang diinginkan dan menghindari rintangan. Perancangan diawali dengan menentukan kinematika dari OMR, setelah itu diterapkan metode potential field dan terakhir pengujian secara simulasi dalam tampilan dua dimensi menggunakan perangkat lunak MATLAB dan analisis. Hasil simulasi pertama menunjukan OMR dapat bergerak ke segala arah tanpa mengubah orientasi robot berdasarkan kinematika yang telah dirancang. Hasil simulasi kedua OMR berhasil menuju titik yang diinginkan serta dapat menghindari dua buah rintangan.Kata kunci: robot roda omni, kinematika, potential field, penghindar rintangan, simulasi ABSTRACTAn Omni-directional wheel mobile robot (OMR) is a type of holonomic robot, which can move in any direction without changing the orientation of the robot. In the development of OMR, other capabilities can also be added, such as the ability to reach the desired position and avoid obstacles. In this paper, we will design and simulate OMR with three omni wheel configurations using the potential field method which can move to the desired point and avoid obstacles. The design begins with determining the kinematics of the OMR, then the potential field method is applied and the last is simulation in a two-dimensional view using MATLAB software and analysis. The results of the first simulation show that OMR can move in all directions without changing the orientation of the robot based on the kinematics that has been designed. The results of the second simulation of OMR successfully reach the desired point and can avoid two obstacles.Keywords: omni directional wheel, kinematics, potential field, obstacle avoidance, simulation
Estimasi State of Charge (SoC) Ultrakapasitor menggunakan Extended Kalman Filter Berbasis Ladder Equivalent Circuit Model
Authors: AFANDI ACHMAD , WINDARKO NOVIE AYUB , SUMANTRI BAMBANG , FAKHRUDDIN HANIF HASYIER 
Published: July 2022

ABSTRAKPenggunaan perangkat penyimpan energi semakin lama semakin meningkat pada peralatan berdaya kecil maupun besar. Baterai selama ini menjadi pilihan utama sebagai penyimpan energi. Namun akhir-akhir ini ultrakapasitor menjadi pilihan alternatif karena lifetime lebih panjang dan respon daya sesaat yang jauh lebih besar dari baterai. Pada manuskrip ini dibahas tentang estimasi nilai State of Charge (SoC) pada ultrakapasitor. Estimasi dilakukan berdasarkan rangkaian ekivalen ladder. Extended Kalman Filter adalah metode estimasi yang handal terhadap sistem dinamis dan tidak memerlukan banyak memori. Estimasi menggunakan metode Extended Kalman filter yang ditanamkan pada sistem embedded untuk mengantisipasi kondisi non-linier pada ultrakapasitor. Ultrakapasitor diuji dengan kondisi charging dan discharging. Hasil pengujian menunjukkan, kinerja metode dibandingkan antara data simulasi dan percobaan dengan perbedaan hasil sebesar 6%.Kata kunci: State of Charge, Metode Extended Kalman Filter, Ultrakapasitor ABSTRACTThe use of energy storage devices is increasing in both small and large power equipment. Batteries have been the main choice for energy storage. However, recently ultracapacitors have become an alternative choice because of a longer lifetime and a much larger instantaneous power response than batteries. This manuscript discusses the estimation of the State of Charge (SoC) value on the ultracapacitor. Estimates are made based on a ladder equivalent circuit. Extended Kalman Filter is a reliable estimation method for dynamic systems and does not require a lot of memory. The estimation uses the Extended Kalman filter method implemented in embedded system to anticipate non-linear conditions on the ultracapacitor. Ultracapacitors were tested under charging and discharging conditions. The test results show that the performance of the method is compared between simulation and experimental data with a difference of 6% in results.Keywords: State of Charge, Metode Extended Kalman Filter, Ultrakapasitor
Multi-Abnormal ECG Signal Classification using Dispersion Entropy and Statistic Feature
Authors: DEWI ERVIN MASITA , AULIA SUCI , HADIYOSO SUGONDO 
Published: July 2022

ABSTRAKElektrokardiogram (EKG) adalah salah satu perangkat medis yang paling banyak digunakan untuk mendiagnosis masalah jantung. Sinyal abnorma EKG mempunyai variasi dan beberapa mirip antara yang satu dengan lainnya. Oleh karena itu, pada penelitian ini diusulkan metode klasifikasi kelainan jantung berdasarkan EKG menggunakan fitur statistik orde satu dan Dispersion Entropy (DisEn) untuk tahap ekstraksi ciri. Sedangkan untuk tahap klasifikas sinyal EKG multi-abnormal, kami membandingkan metode Support Vector Machine (SVM) dan K-Nearest Neighbor (KNN). Pada penelitian ini diklasifikasikan tujuh kelas EKG, yaitu Normal, Atrial Fibrillation (AFIB), Atrial Flutter (AFL), Atrial Premature Beats (APB), Begiminy, Left Bundle Branch Block (LBBB), dan Premature Ventricular Contraction (PVC). Dari simulasi ini, sistem dapat mendeteksi sinyal normal dan abnormal dengan akurasi 85,1% menggunakan K-NN. Sementara itu, pada simulasi klasifikasi tujuh kelas sinyal EKG menghasilkan akurasi hingga 75.1%.Kata kunci: EKG, klasifikasi, Dispersion Entropy, statistik ABSTRACTElectrocardiogram (ECG) is one of the most widely used medical devices to diagnose heart disease. Abnormal ECG signals have variations and some are similar to another. Therefore, in this study, proposed a method for classifying cardiac abnormalities based on ECG using first-order statistical features and Dispersion Entropy (DisEn) for feature extraction. Meanwhile, for the multiabnormal ECG signal classification stage, we compared the Support Vector Machine (SVM) and K-Nearest Neighbor (KNN) methods. In this study, seven ECG classes were classified, namely Normal, Atrial Fibrillation (AFIB), Atrial Flutter (AFL), Atrial Premature Beats (APB), Begiminy, Left Bundle Branch Block (LBBB), and Premature Ventricular Contraction (PVC). From this simulation, the system can detect normal and abnormal signals with an accuracy of 85.1% using K-NN. Meanwhile, the classification simulation of seven classes of ECG signals produces an accuracy of up to 75.1%.Keywords: ECG, classification, Dispersion Entropy, statistics