bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pembelajaran Generatif Media Barbek Terintegrasi PPK terhadap Pemahaman Konsep dan Komunikasi Matematis
Authors: Asdar A. , Fatimah F. , Nurhidayah N. 
Published: October 2022

Penelitian ini bertujuan untuk melihat pengaruh penerapan model pembelajaran generatif dengan media barang bekas terhadap kemampuan pemahaman konsep dan komunikasi matematis siswa kelas V SDN 007 Sidodadi. Jenis penelitian yang digunakan dalam penelitian ini yatiu pra ekperiman. Instrumen yang digunakan dalam penelitian ini yaitu tes pemahaman konsep dan kemampuan komunikasi matematis siswa. Adapun teknik analisis data yang digunakan dalam penelitian ini yaitu uji one sample t-tes dengan uji prasyarat yaitu melakukan uji normalitas. Hasil yang diperoleh dari pengujian hipotesis yaitu sig. 0.000 < 0,05 sehingga H0 tolak. Sehingga dapat disimpulkan bahwa hasil dari penelitian ini menunjukkan terdapat pengaruh penerapan model pembelajran generatif dengan media barang bekas terintegrasi PPK terhadap kemampuan pemahaman konsep dan komunikasi matematis siswa.Kata Kunci: Model Pembelajaran Generatif, Media Barang Bekas, PPK, Pemahaman Konsep, Komunikasi Matematis The study aimed to see the implementation of the generative learning model with the media used goods to the ability to understand the concept and communication of mathematics class V students at SDN 007 Sidodadi. The type of research used in this study is pre-experiment. The instrument used in this research is the concept of understanding tests and the mathematical communication skills of students. The data analysis technique used in this research is one sample T-test test with a prerequisite test is to test normality. The results obtained from the hypothesis testing are sig. 0.000 < 0.05 so that H0 rejected. It concluded that the results of this research show there was an influence in implementing the generative model of defense with the medium of second-hand goods integrated PPK to the ability to understand the concept and communication of students mathematically.Keywords: Generative Learning Model, Media used goods, PPK, concept understanding, mathematical communication
Studi Pendahuluan Analisis Ukuran Partikel CuAl2O4 Berdasarkan Difraktogram Sinar-X
Authors: Joris Shielda Natalia , Rosidah Yuli Ainun 
Published: October 2022

Penelitian pendahuluan analisis ukuran partikel CuAl2O4 dilakukan untuk mengetahui probabilitas menghasilkan nanopartikel ini dalam sistem air menggunakan teknik sol-gel. Tembaga nitrat, aluminium nitrat, dan asam sitrat digunakan sebagai bahan prekursor. Proses pembentukan senyawa ini diawali dengan kompleks prekursor dan melibatkan intermediet stabil yang homogen. Struktur nanopartikel CuAl2O4 terjadi ketika semua prekursor dikalsinasi pada 700 °C di tungku selama satu jam. Produk dikarakterisasi dengan menggunakan metode difraksi sinar-X. Penentuan ukuran partikel dihitung dengan metode Hukum Scherrer diperoleh hasil sebesar 9,56 nm.Kata kunci: Nanopartikel, CuAl2O4, sol-gel, Hukum Scherrer, sinar-X Preliminary research on CuAl2O4 particle size analysis was conducted to determine the probability of synthesizing these nanoparticles in water system by using the sol-gel technique. Precursors materials which have been used i.e Copper nitrate, aluminium nitrate, and citric acid. This technique starts from the precursor complex, and involves the formation of homogeneous stable intermediates. The structure of CuAl2O4 nanoparticle occurred when all precursors were calcinated at 700 °C at the furnace for an hour. The product was characterized by using X-ray diffraction method. The particle size was measured by Scherrer Law's and it showed to be 9,56 nm.Keywords: Nanoparticle, CuAl2O4, sol-gel, Scherrer Law, X-ray
Efisiensi Waktu Pemberian Pupuk Nitrogen terhadap Pertumbuhan dan Produksi Jagung Lokal Kuning
Authors: Lihiang Anatje , Lumingkewas Sonny 
Published: October 2022

ABSTRAK Jagung (Zea mays L) ialah tanaman serealia yang bernilai ekonomis dan dapat dikembangkan sebagai sumber utama karbohidrat, vitamin dan mineral, serta sebagai pakan ternak dan bahan baku industri. Di Sulawesi Utara banyak dikembangkan jagung varietas lokal Manado kuning yang memiliki keunikan yaitu rasanya manis, rendemen nasi tinggi, dan tahan disimpan. Namun di tingkat petani produktivitasnya rendah berkisar 1-2 ton/ha. Oleh karena itu perlu dilakukan penelitian untuk meningkatkan pertumbuhan dan produksi jagung lokal Manado kuning dengan aplikasi waktu pemberian pupuk urea yang tepat.Hasil menunjukkan tanaman jagung menghasilkan luas daun, berat kering, indeks luas daun, laju tumbuh tanaman, dan laju asimilasi bersih tertinggi pada perlakuan N4 dan N5 yaitu 3 kali pemberian pupuk urea 1/3 saat tanam, 1/3 umur tanaman 15 hari, dan 1/3 umur tanaman 45 HST (N4) serta 1/3 saat tanam, 1/3 saat tanaman berumur 30 hari dan 1/3 tanaman berumur 45 hari. Bobot pipilan kering tertinggi sebesar 3,24 t ha-1 pada perlakuan aplikasi waktu pemberian pupuk 3 kali yaitu 1/3 saat tanam, 1/3 pada saat tanaman berumur 30 HST dan 45 HST. Dengan demikian, aplikasi waktu pemberian pupuk 3 kali menghasilkan pertumbuhan dan produksi jagung lokal Manado kuning tertinggi. Penelitian selanjutnya perlu diuji pada lokasi-lokasi dengan ketinggian berbeda. Kata kunci: Jagung lokal kuning, pupuk urea, efisiensi waktu ABSTRACTCorn (Zea mays L) is a cereal crop that has economic value and can be developed as a main source of carbohydrates, vitamins and minerals, as well as animal feed and industrial raw materials. In North Sulawesi, many local varieties of Manado yellow maize have been developed, which are unique in that they taste sweet, have high rice yield, and are resistant to storage. However, at the farmer level, the productivity is low, around 1-2 tonnes/ha. Therefore it is necessary to conduct research to increase the growth and production of local Manado yellow maize with the appropriate application of urea fertilizer time. The weight, leaf area index, plant growth rate, and net assimilation rate in N4 and N5 treatments, namely 3 times urea fertilizer 1/3 when planting, 1/3 plant age 15 days, and 1/3 plant age 45 HST (N4) and 1/3 when planting, 1/3 when the plants are 30 days old and 1/3 plants are 45 days old. The highest dry weight was 3.24 t ha-1 in the 3 times application of fertilizer, namely 1/3 when planted, 1/3 when the plants were 30 HST and 45 HST. Thus, the application of 3 times fertilizer application resulted in the highest growth and production of local Manado yellow corn. Further research needs to be tested at locations with different heights. Keywords: Yellow local corn, urea fertilizer, time efficiency
Police deviance: causes and possibilities of overcoming
Authors: Nikulenko Andrey 
Published: October 2022

In modern Russia, the problem of the balance between the implementation of law enforcement activities (firstly, police ones) and ensuring the rights and freedoms of man and citizen is becoming increasingly relevant. Special significance is attached to the legal regulation of the activities of the police and representatives of other law enforcement agencies so that they have clear and understandable legal mechanisms for restricting civil rights at their disposal. However, the desire to provide a legal basis for policing, in our opinion, has led to excessive regulation of the possible and proper behavior of the police officers. Moreover, the regulatory legislation of various «law enforcement» agencies differs significantly in terms of the use of physical force, special means and firearms, in other words, means of restricting rights and freedoms. That seems reasonable, since each department solves its own tasks, but in the same situations, representatives of, for example, the FSB of Russia (the Federal Security Service of the Russian Federation), the police and the National Guard of Russia have different grounds for using weapons. The legislators’ efforts to regulate this area as much as possible have led to contradictions between various regulatory legal acts, especially in criminal legislation.
This circumstance generates various forms of deviant behavior of police officers when they face with stressful situations in their law enforcing.
In our opinion, the current norms (particularly of Chapter 8) of the Criminal Code of the Russian Federation are clearly insufficient. In addition, their statutory wording is not perfect. They make it possible to shift the blame for causing harm on persons who cause this harm under circumstances without criminality of the act.
Data Analytics and Visualization Application for Asset Health Monitoring
Authors: Carley Richard , Fuller Sara , Bond William , Jones Parker , Allen David , Jordan Adam , Falls Terrill 
Published: October 2022

Much of the research on predictive maintenance has focused on statistical and machine learning techniques, while there has been significantly less focus on the human computer interaction or visualization aspects of PHM. Human computer interaction and visualization techniques can quickly help identify interesting data sub-domains, both time periods and sensors, provided the data can be queried, retrieved and displayed in a timely manner. Augmenting visualization and interaction with a visual, aggregative fleet-based query system adds a further dimension, highlighting the ability of the fleet to carry out its mission. In the age of big data, effectively visualizing data from an asset with a multitude of sensors can be difficult, and that difficulty is compounded as you add additional assets.
In this paper, we propose a scalable framework that is capable of visualizing past, current, and prognosticated health from the individual sensor up to the fleet or group level. In addition to viewing near real time sensor data, maintenance logs, fault information, and data aggregations will be merged with the sensor data to make the analysis and visualizations more valuable. This framework is scalable in regard to how much data can be collected, stored, and processed, as well as to the different organizational levels within a fleet of assets. The framework is built as a web-application primarily using the following visualizations: a collapsible tree graph for asset information; 2D charts for temporal sensor data, fault data, and maintenance data; and 3D digital twins of critical components.
The current dataset used to build and demonstrate the capability of the web-application has data from over 3000 vehicles and contains approximately 9TB of data. Vehicle information such as model, make, sub-component, and fleet organization are presented in a configurable, collapsible tree structure. This allows the user to visualize the fleet and to select the asset and sensor combinations needed to display the temporal sensor data that will answer the question at hand. Information regarding each vehicle’s health status is displayed then aggregated and displayed for each of the higher tree nodes. A 3D digital twin is also available to highlight sensor locations and current health status of the component. These component models can be viewed and manipulated with and without a virtual reality headset. As health status monitoring for asset subcomponents are developed, they can be added to the system, allowing for complete health status reporting.
Self adaptive learning scheme for Fault prognosis in oil wells and production & service lines
Authors: Harrouz Aymen , Toubakh Houari , Kafi Redouane , Sayed-Mouchaweh Moamar , Salem Hajer 
Published: October 2022

The production of Oil & Gas from underground reservoirs involves chemical and mechanical processes that affect well drilling and operation. Many of these processes may eventually cause a problem with the well, resulting in a decrease in production or in equipment failure. This paper deals with fault prognosis during the practical operation of Oil & Gas wells. This work focus on the remaining useful life prediction of the “Spurious Closure of the Downhole Safety Valve” fault. This paper proposes a scheme based on the use of unsupervised machine learning approach and a drift detection mechanism is employed in order to predict the time to failure, real fault scenarios data are used, the proposed scheme is evaluated using different prognosis performance metrics.
Online Battery SOH Prediction under Intra-Cycle Variation of Discharge Current and Non-Standard Charging and Discharging Practices
Authors: Kim Areum , Lee Sukhan 
Published: October 2022

Online SOH prediction of a battery is essential for battery management in real-world applications. Although many approaches have been proposed to date, most conventional approaches to SOH prediction neither incorporate intra-cycle variation of discharge currents nor consider non-standard charging and discharging practices along cycles. For real-world applicability, the above two factors, varying discharge current and non-standard practices, are crucial to deal with. This paper presents an approach to online SOH prediction based on charging and discharging cycles under intra-cycle variation of discharge current and non-standard charging and discharging practices. Here, for online SOH prediction, we represent a cyclic history of terminal voltages and currents by a vector sequence formed by four indices: total charge, voltage-time entropy, average and variance of current, where average and variance of current are intended to deal with varying discharge current. Furthermore, we identify various minimum ranges of charging and discharging voltages that can provide accurate relation between four indices and SOH under non-standard practices, while transforming this relation into that of standard practices. For experiments, an LSTM stack is implemented for the proposed online SOH prediction. The results indicate that the proposed approach is capable of accurate online SOH prediction even under randomly varying discharging currents and non-standard practices with RMSE errors of about 0.5% as well as of about 95%.
Methodology for Online Sensor Recalibration
Authors: Pradeep Ramuhalli , Muhlheim Michael , Guler Yigitoglu Askin , Huning Alex , Saxena Abhinav 
Published: October 2022

A significant contributor to nuclear power plant operations and maintenance (O&M) costs is the periodic calibration check of sensors. Periodic calibration checks provide the necessary confidence that the measurements from these sensors are correct, with the data used to monitor and verify proper operation of the reactor. The periodicity of calibrations in the nuclear industry can range from once in several weeks for some instrument channels to once every refueling outage (~18 months) for certain safety-significant pressure and level transmitters. With expected longer refueling intervals in many advanced reactor/small modular reactor concepts, fewer opportunities are expected to be available for manual calibration checks and recalibration for many instrument channels.
Presently, periodic sensor calibration checks are performed manually, with manual recalibration performed if the sensor is found to be out of calibration. Although studies have shown that most (over 90%) sensors are found to stay within calibration specifications over a calibration cycle (~18 months), labor must still be spent to verify that these sensors are within calibration. Given the large number of sensors (anywhere between 100–2400 sensors) in a typical nuclear power plant, the ability to identify sensors that are failing/failed or drifting out of calibration and limit recalibration to those specific sensors has the potential to save between $0.5–1M per year per plant. The cost of calibration checks and recalibration are expected to be of greater significance to advanced reactors and small modular reactors, given the industry focus on reducing O&M costs for these reactor concepts as part of improving the economic viability of advanced nuclear power.
Methods that can compensate for calibration drift by adjusting the calibration automatically and in real-time may be able to further reduce costs associated with recalibration. Such autocalibrations or online automated recalibrations reduce unavailability of instrumentation and improve online maintenance planning flexibility from both resource allocation and online risk evaluation perspectives.
This paper describes an initial set of algorithms developed for the purpose of detecting drift and correcting for it through an online recalibration method. Initial results on laboratory-scale experimental data indicate the potential of these algorithms to detect calibration drift and update calibrations with prediction and drift correction accuracy exceeding 95%.
मानव जीवन के कल्याण हेतु यज्ञ - वैदिक वांग्मय के सन्दर्भ में
Authors: Pathak Tanushee , Kishor Gayatri 
Published: October 2022

भारतीय परंपराओं के प्रचलन में तत्वदर्शी ऋषियो ने यज्ञ को भारतीय धर्म का पिता कहा गया है जिसमें मनुष्य जीवन का भी समग्र दर्शन समाहित है। मानव जीवन में यज्ञ की अनिवार्यता वैदिक वांग्मय का निर्देश है। मनुष्य जीवन के विविध आयाम में यज्ञ लाभ को वैदिक वांग्मय के सन्दर्भ में समझना प्रस्तुत अध्ययन का मूल उद्देश्य है। यज्ञ जीवन ही कल्याण कारक है। यह सृष्टि यज्ञ के सिद्धांतो पर चलती है। मनुष्य जीवन इसे सृष्टि है और सृष्टि की उन्नति ही मनुष्य जीवन की उन्नति है। यज्ञमय जीवन जीने वाले से सत्प्रवृत्तियाँ का संवर्धन होता रहता है और इससे देव शक्तिया संतुष्ट रहती है और उसकी सकल कामनाएं पूर्ण होती है अर्थात वह आप्तकाम होता है। जिससे मनुष्य का सांसारिक जीवन मंगलमय बनता है। यज्ञमय जीवन से मनुष्य जीवन जो त्रिविध ताप आध्यात्मिक, आधिदैविक (व्यक्तित्व एवं प्रतिभा) एवं आधिभौतिक (सांसारिक समृद्धि) से मुक्ति अर्थात लाभ प्रदान करता है, जिससे मनुष्य जीवन सफल और कल्याणकारी बनता है। जब तक घर-घर में यज्ञ की प्रतिष्ठा थी, तब तक भारत भूमि स्वर्ग-सम्पदाओं की स्वामिनी थी। आज यज्ञ एवं यज्ञमय जीवन को त्यागने से ही मनुष्य जीवन की दुर्गति हो रही है।
Sexual Educational Values for Teenagers and the Role of Parents in Juno Movie
Authors: Setianingsih Tri , Nafisah Bq Zuhrotun 
Published: October 2022

This Study aims to determine the values of sexual education and the role of parents in “Juno” movie. The object of this research was the values of sexual education and the role of parents. This research method used was descriptive qualitative. This technique of data collection used were documentation, watching, re-watching, identification. The data analysis technique used in this research was the Milen and Huberman model method: data reduction, data display, conclusions drawing/verification. Researcher found the values of sexual education and the role of parents in Juno movie. The results of this study found 5 values of sexual education: keep yourself from lust for the opposite sex, there will be a negative risk that will be accepted, to tell the dangers of abortion, teach to be responsible for yourself, impact of early pregnancy on teenagers and 2 roles of parents in Juno movie: protect, support, look after and help Juno solve the serious problem she faced, reminds Juno of the mistake she made.
Ultrassonografia no diagnóstico de urolitíase com obstrução e hidronefrose: relato de caso.
Authors: Reis Élide Tibaldi , Strieder Anthony Giordano , Gomes Luanna Ferreira Fasanelo 
Published: October 2022

A urolitíase associada a hidronefrose é uma das enfermidades mais comuns em cães e tem uma incidência crescente, existindo a necessidade de trabalhos que apresentem o uso da ultrassonografia para o diagnóstico da mesma. A imagem ultrassonográfica formada pelo urólito é hiperecogênica com formação de sombra acústica apresenta maior ecogenicidade e sombra acústica, e a hidronefrose mostra-se através da dilatação pélvica renal por conteúdo normalmente anecogênico. Objetivou-se relatar a importância do diagnóstico ultrassonográfico na presença de um urólito de 1,98 centímetros de comprimento no ureter cranial esquerdo em um cão de pequeno porte, gerando obstrução do fluxo e hidronefrose.
Deteksi Nominal Uang Kertas Menggunakan OCR (Optical Character Recognition)
Authors: Wanda Hamidah  , Irawan Tsabita Syalza Billa , Hasbullah Nurul Amanda Pratiwi , Kaswar Andi Baso 
Published: October 2022

Instrumen pembayaran yang saat ini umum digunakan diseluruh dunia ialah uang kertas. Saat ini, perkembangan sistem teknologi yang semakin canggih membuat seluruh aktivitas dan pekerjaan yang dilakukan oleh seseorang dapat diselesaikan lebih mudah dan lebih cepat. Salah satu keringanan yang dapat dinikmati oleh masyarakat adalah adanya teknologi atau sistem yang mampu mendeteksi/mengenal nominal dari uang kertas. Pada penelitian ini, penulis mengusulkan metode untuk mendeteksi nominal uang kertas dengan menggunakan OCR (Optical Character Recognition). Tahapan-tahapan untuk mendeteksi nominal dari citra uang adalah Resize, Cropping, Rotasi Citra, Grayscale, Filter, Biner, Morfologi, dan OCR. Total dataset uang kertas yang digunakan sebanyak 70 lembar uang dengan pecahan Rp 1,000,00, Rp 2,000,00, Rp 5,000,00, Rp 10,000,00, Rp 20,000,00, Rp 50,000,00, dan Rp 100,000, Dari Dari hasil penelitian yang dilakukan menggunakan 70 sampel uang kertas, didapatkan hasil tingkat akurasi deteksi citra uang kertas yang benar sebesar 94%, dengan tingkat akurasi error sebesar 6%.
Penerapan Teori Self-Care Orem Pada Asuhan Keperawatan Pasien dengan Osteoartritis Genu Bilateral
Authors: Hertuida Clara  
Published: October 2022

Osteoartritis pada lutut (OA genu) merupakan OA yang bersifat idiopatik, yang ditandai dengan degenerasi
tulang rawan lutut yang berdampak terhadap terjadinya kecacatan atau disability. Akibat disability yang
dialaminya, pasien kesulitan untuk melakukan perawatan diri atau self care. Terkait hal tersebut, peran
perawat diperlukan dalam pemberian asuhan keperawatan dengan pendekatan teori self care Orem pada
pasien dengan osteoartritis genu. Metode asuhan keperawatan dengan pendekatan self care Orem ini
diterapkan pada Ny. MS usia 52 tahun dengan OA Genu Bilateral. Tujuan penulisan adalah untuk
mendapatkan pengalaman nyata dalam memberikan asuhan keperawatan pada pasien dengan OA Genu
Bilateral. Hasil yang diperoleh yaitu keluhan nyeri terkontrol, mobilitas dicapai optimal, pasien terhindar
dari resiko jatuh dan infeksi. Kesimpulan yaitu metode asuhan keperawatan dengan pendekatan teori self
care Orem efektif untuk diterapkan pada pasien dengan gangguan sistem muskuloskeletal khususnya pada
kasus osteoartritis genu karena pasien-pasien dengan kasus tersebut memiliki masalah deficit self care.
Asuhan Keperawatan Keluarga Dengan Diabetes Mellitus
Authors: Mega Hartati  , Lucia Firsty Puspita Khrisna  
Published: October 2022

Keluarga adalah unit terkecil dari masyarakat yang terdiri dari kepala keluarga dan beberapa orang yang
berkumpul serta tinggal di suatu tempat di bawah satu atap dalam keadaan saling bergantung..Keluarga
dijadikan sebagai unit pelayanan karena masalah kesehatan keluarga saling berkaitan dan saling
mempengaruhi antara sesama anggota keluarga dan akan mempengaruhi pula keluarga-keluarga
disekitarnya atau masyarakat secara. Salah satu masalah yang dapat mempengaruhi kesehatan keluarga
keluarga adalah Diabetes Mellitus. Diabetes Mellitus merupakan salah satu masalah kesehatan yang dapat
menurunkan produktivitas sumber daya manusia. Diabetes Mellitus merupakan penyakit kronis progresif
yang ditandai dengan ketidakmampuan tubuh untuk melakukan metabolisme karbohidrat, lemak, dan
protein, mengarah ke hiperglikemia. Salah satu penyebab Diabetes Mellitus yaitu pola makan yang tidak
sehat, seperti makanan yang banyak mengandung kadar gula yang tinggi sehingga dapat mengakibatkan
meningkatnya kadar gula darah. Gaya hidup yang tidak baik juga dapat menjadi pemicu Diabetes Mellitus
seperti jarang berolahraga, merokok, dan minum-minuman beralkohol. Untuk dapat menanggulangi
masalah pada keluarga dengan penyakit Diabetes Mellitus yaitu dengan memberikan asuhan keperawatan
yang komprehensif dengan menggunakan proses keperawatan dimana perawat mempunyai peranan penting
dalam pemberian asuhan keperawatan yaitu pada aspek promotif, preventif, kuratif, dan rehabilitatif.