bluuebunny/crossref_metadata_2025_split huggingface dataset:
4G LTE Network Quality and TCP/IP Performance of Telkomsel Provider in the Lolong Belanti Area
Authors: Yuhanef Afrizal , Aulia Siska , Pratama Ilham Aditya , Setiawan Herry 
Published: January 2024

Lolong Belanti is one of the sub-districts in North Padang District, Padang City, West Sumatra Province. In Lolong Belanti cellular telecommunications is growing very rapidly and has become an important need for the community. Therefore, research needs to be done so that it can be a reference for providers to improve the quality and quantity of 4G LTE networks in Lolong Belanti. The measurement results on weekdays obtained the percentage of good to excellent 4G network categories have a percentage value of RSRP 99.04%, SINR 12.14% and Throughput 98.51% and the average value of download bandwidth 28.26 Mbps, upload bandwidth 23.92 Mbps, throughput 1,282,003 kbps, packet loss 0.103%, delay 5.92 ms and jitter 5.97%. While on holidays, the percentage of 4G network categories is good to very good having a percentage value of 97.91% RSRP, 12.28 SINR and 98.51% Throughput and has an average value of 13.68 Mbps download bandwidth, 17.94 Mbps upload bandwidth, 647.688 kbps Throughput, 0.26% packet loss, 17.428 ms dellay and 17.566 ms jitter. The quality of Telkomsel's 4G LTE network provider in Lolong Belanti Village on holidays is better than on weekdays. And the comparison of TCP/IP performance for Bandwidth Download, Bandwidth Upload, Throughput and Packet Loss is superior on weekdays compared to holidays, and for Delay and Jitter is better on holidays than on weekdays.
Establish and Implement PAM and PRM ISO 20000-1:2011
Authors: Najoan Harvard K. , Mawuntu Denny J. 
Published: January 2024

Most enterprises are now using information technology services as their assets to support business objectives. These kind of services are provided by internal service provider (inside enterprise) or external service provider (outside enterprise). To deliver quality information technology services, service provider (which from now on will be called “organization”) either internal or external, must have standard for service management system. At present, the standard that is recognized as best practice for service management system for organization is international standard ISO/IEC 20000:2011. The most important part of this international standard is the first part or ISO/IEC 20000-1:2011-Service Management System Requirement, because it contains 22 for organization processes as requirement to be implemented in organizational environment in order to build, manage and deliver quality service to customer. Assessing organization management processes is the first step to implement ISO/IEC 20000:2011 into the organization management processes. This assessment needs Process Assessment Model (PAM) as assessment instrument. PAM comprises two parts: Process Reference Model (PRM) and Measurement Framework (MF). PRM is built by transforming the 22 process of ISO/IEC 20000-1:2011 and MF is based on ISO/IEC 33020. This assessment instrument was designed to assess the capability of service management process in Divisi Teknologi dan Sistem Informasi (Information Systems and Technology Division) as an internal organization of PT Pos Indonesia. The result of this assessment model can be proposed to improve the capability of service management system.
ANALISIS KEBUTUHAN LAYANAN BIMBINGAN DAN KONSELING UNTUK MENGATASI PERMASALAHAN SISWA DARI KELUARGA BROKEN HOME DI SMA NEGERI 8 REJANG LEBONG
Authors: Astuti Sri , Hajja Dinna , Sumarto Sumarto 
Published: January 2024

Penelitian ini didasarkan pada upaya untuk menganalisa permasalahan siswa dari keluarga broken home dan membantu mengentaskan masalah tersebut melalui layanan bimbingan dan konseling tujuan dari penelitian ini adalah untuk mengetahui bagaimana permasalahan siswa dari keluarga yang broken home dan untuk mengetahui bagaimanan layanan bimbingan dan konseling yang dibutuhkan untuk mengatasi permasalahan siswa dari keluarga yang broken home di SMA Negeri 8 Rejang Lebong.
Jenis penelitian yang digunakan dalam penelitian ini adalah penelitian kualitatif. dengan metode deskriptif naturalistis. Dengan tehnik pengumpulan data menggunakan wawancara, observasi dan dokumentasi. Tehnik analisis data yang digunakan dengan mereduksi data, menyajikan data dan memverifikasinya.
Hasil penelitian menunjukan bahwa permasalahan siswa dari keluarga broken home di SMA Negeri 8 Rejang Lebong yaitu: motivasi belajar yang menurun, merasa minder dan malu, timbul kebencian terhadap orang tua, trauma ditinggal atau kehilangan orang terdekat, sering merasa pusing cemas, sakit-sakitan dan sering pingsan di sekolah. Sedangkan layanan bimbingan dan konseling yang dibutuhkan untuk mengatasi permasalahan siswa dari keluarga yang broken home di SMA Negeri 8 Rejang Lebong yakni dengan melaksanakan konseling kelompok. Adapun perubahan prilaku pasca konseling kelompok yakni siswa mulai semangat mengikuti kegiatan pembelajaran, mulai bergaul dengan teman-teman di dalam kelas dan tidak pernah pingsan lagi di sekolah.
Performance Analysis of 8 × 112 Gbps (0.896 Tbps) WDM ROF Link Using 32 QAM - OFDM Modulation Scheme for Achieving Extended Range
Authors: Prajapati Jayeshkumar C. , Maradia K. G. 
Published: January 2024

We propose an advanced optical transport system utilizing higher order modulation formats and coherent detection. Our innovation introduces an 8 × 112 Gbps wavelength division multiplexing – radio over fiber (WDM ROF) link using a 32 quadrature amplitude modulation-orthogonal frequency division (QAM-OFDM) modulation scheme, capable for extending its reach. Our proposed research stands out from existing studies due to its distinctive use of the 32-QAM format and a 112 Gbps data rate per channel, especially when considering a channel span of 3000 km. Our analysis covers WDM-ROF link systems, including a preoptical amplifier within the link, one optical amplifier outside the channel loop span, and one within the loop span, representing distinct scenarios. We operated optical amplifiers in the gain-controlled mode. Remarkably, exclusive of employing precise dispersion or nonlinearity improvement techniques, carried out simulations reveal optimal transmission distance for our anticipated system having considered specification parameters is 3000 Km. We conducted extensive simulations to assess the system performance in terms of quality factor (Q-factor), estimated symbol error (ESE), and error vector magnitude (EVM) over link spans ranging from 1000 to 15,000 km.

Received: 12 September 2023 | Revised: 21 December 2023 | Accepted: 22 December 2023

Conflicts of InterestThe authors declare that they have no conflicts of interest to this work.

Data Availability Statement
Data are available from the corresponding author upon reasonable request.
Das sind die Kandidat:innen
Authors: Harbusch Larina 
Published: January 2024

Frankfurt a.M. Auch in diesem Jahr verleiht die agrarzeitung den Förderpreis der Agrarwirtschaft. Für einen Einblick in die Projekte der Bewerber und Bewerberinnen stellen wir eine Auswahl der Nachwuchstalente vor. Die Preisverleihung der besten drei Projekte findet am 11. November statt. Von Larina Harbusch
IMPLEMENTASI SISTEM INFORMASI PENGELOLAAN BARANG INVENTARIS MILIK NEGARA STUDI KASUS BALAI DIKLAT KEAGAMAAN MEDAN
Authors: Monica Situmeang  , Alif Fahrezy M , Shella Fahdilla Sari  , Aidil Halim Lubis  
Published: January 2024

Dalam era ini Teknologi memegang peranan sangat penting dalam meningkatkan efisiensi kegiatan pemerintahan. Barang Milik Negara (BMN) merupakan aset yang wajib dipertanggungjawabkan oleh penguasa yang memilikinya. Kajian BMN Medan mengangkat persoalan barang milik negara yang diangkut dari ruangan ke ruangan tanpa sepengetahuan pengelola, sehingga berdampak pada pengelolaan barang tanpa memperhatikan data sebenarnya di lapangan. Tujuan dari penelitian ini adalah mengimplementasikan sistem informasi SIMA agar pendataan angkutan barang lebih efektif. Metode deskriptif kualitatif digunakan untuk membantu pengguna sistem informasi SIMAN Pusdiklat Keagamaan Medan agar lebih memahami sistem informasi tersebut. Penelusuran menemukan bahwa sistem informasi tidak efektif dalam pengelolaan barang milik negara di Pusdiklat Keagamaan Medan karena kurangnya pelatihan ulang dalam penggunaan sistem informasi dan kurangnya kewenangan sebelumnya dalam mengelola barang tersebut. Oleh karena itu, pemahaman penggunaan sistem informasi SIMA berdampak signifikan terhadap efektivitas pengelolaan properti nasional.
Cloud optical and physical properties retrieval from EarthCARE multi-spectral imager: the M-COP products
Authors: Hünerbein Anja , Bley Sebastian , Deneke Hartwig , Meirink Jan Fokke , van Zadelhoff Gerd-Jan , Walther Andi 
Published: January 2024

Abstract. The Earth Cloud, Aerosol and Radiation Explorer (EarthCARE) is the first mission that will provide measurements from active profiling, passive imaging and a broadband radiometer from a single satellite platform. The passive multi-spectral imager (MSI) features four solar and three thermal infrared channels, and has a swath of 150 km and a spatial pixel resolution of 500 m. The MSI observations will provide across-track information on clouds and aerosol to extend the active profiling information into the swath. In this paper, we present the algorithm used for retrieving the cloud optical and physical products (M-COP), specifically cloud optical thickness, effective radius and top height. The algorithm is based on the solar and terrestrial MSI channels within an optimal estimation framework. This framework enables full error propagation given by the uncertainties in measurements and a priori information. The MSI cloud algorithm has been successfully exercised on different imagers and on synthetically generated MSI observations.
Absolute radiance calibration in the UV and visible spectral range using atmospheric observations during twilight
Authors: Wagner Thomas , Puķīte Jānis 
Published: January 2024

Abstract. We present an improved radiance calibration method for UV–Vis spectroscopic instruments with a narrow field of view (up to a few degrees) based on the calibration method by Wagner et al. (2015). The updated method uses only measurements during the twilight period instead of several hours as for the original method. The calibration is based on the comparison of measurements and simulations of the radiance of zenith-scattered sunlight. The main advantage of our method compared to radiance calibration methods in the laboratory is that the calibration can be directly applied in the field. This allows routine radiance calibrations whenever the sky is clear during twilight. The calibration can also be performed retrospectively and will thus be applicable for the large number of existing data sets. Also, potential changes in the instrument properties during transport from the laboratory to the field are avoided. The new version of the calibration method presented here has two main advantages. First, the required measurement period can be rather short (only a few minutes during twilight for cloud-free conditions). Second, even without knowledge of the aerosol optical depth (AOD), the errors in the calibration method are rather small, especially in the UV spectral range where they range from about 4 % at 340 nm to 8 % at 420 nm. If the AOD is known, the uncertainties are even smaller (about 3 % at 340 nm to 4 % at 420 nm). For visible wavelengths, good accuracy is only obtained if the AOD is approximately known with uncertainties from about 4 % at 420 nm to 10 % between about 550 and 700 nm (generally the AOD is nevertheless smaller in the visible than in the UV spectral range). One shortcoming of the method is that it is not possible to determine the AOD exactly at the time of the (twilight) measurements because AOD observations from sun photometer measurements or the MAX-DOAS (Multi-AXis Differential Optical Absorption Spectroscopy) measurements are usually not meaningful for such high solar zenith angle (SZA). But the related uncertainty can be minimised by repeating the radiance calibrations during the twilight periods of several days.
A model for rapid PM2.5 exposure estimates in wildfire conditions using routinely available data: rapidfire v0.1.3
Authors: Raffuse Sean , O'Neill Susan , Schmidt Rebecca 
Published: January 2024

Abstract. Urban smoke exposure events from large wildfires have become increasingly common in California and throughout the western United States. The ability to study the impacts of high smoke aerosol exposures from these events on the public is limited by the availability of high-quality, spatially resolved estimates of aerosol concentrations. Methods for assigning aerosol exposure often employ multiple data sets that are time-consuming to create and difficult to reproduce. As these events have gone from occasional to nearly annual in frequency, the need for rapid smoke exposure assessments has increased. The rapidfire (relatively accurate particulate information derived from inputs retrieved easily) R package (version 0.1.3) provides a suite of tools for developing exposure assignments using data sets that are routinely generated and publicly available within a month of the event. Specifically, rapidfire harvests official air quality monitoring, satellite observations, meteorological modeling, operational predictive smoke modeling, and low-cost sensor networks. A machine learning approach, random forest (RF) regression, is used to fuse the different data sets. Using rapidfire, we produced estimates of ground-level 24 h average particulate matter for several large wildfire smoke events in California from 2017–2021. These estimates show excellent agreement with independent measures from filter-based networks.
The community-centered freshwater biogeochemistry model unified RIVE v1.0: a unified version for water column
Authors: Wang Shuaitao , Thieu Vincent , Billen Gilles , Garnier Josette , Silvestre Marie , Marescaux Audrey , Yan Xingcheng , Flipo Nicolas 
Published: January 2024

Abstract. Research on mechanisms of organic matter degradation, bacterial activities, phytoplankton dynamics, and other processes has led to the development of numerous sophisticated water quality models. The earliest model, dating back to 1925, was based on first-order kinetics for organic matter degradation. The community-centered freshwater biogeochemistry model RIVE was initially developed in 1994 and has subsequently been integrated into several software programs such as Seneque-Riverstrahler, pyNuts-Riverstrahler, ProSe/ProSe-PA, and Barman. After 30 years of research, the use of different programming languages including QBasic, Visual Basic, Fortran, ANSI C, and Python, as well as parallel evolution and the addition of new formalisms, raises questions about their comparability. This paper presents a unified version of the RIVE model for the water column, including formalisms for bacterial communities (heterotrophic and nitrifying), primary producers, zooplankton, nutrients, inorganic carbon, and dissolved oxygen cycles. The unified RIVE model is open-source and implemented in Python 3 to create pyRIVE 1.0 and in ANSI C to create C-RIVE 0.32. The organic matter degradation module is validated by simulating batch experiments. The comparability of the pyRIVE 1.0 and C-RIVE 0.32 software is verified by modeling a river stretch case study. The case study considers the full biogeochemical cycles (microorganisms, nutrients, carbon, and oxygen) in the water column, as well as the effects of light and water temperature. The results show that the simulated concentrations of all state variables, including microorganisms and chemical species, are very similar for pyRIVE 1.0 and C-RIVE 0.32. This open-source project highly encourages contributions from the freshwater biogeochemistry community to further advance the project and achieve common objectives.
Geo-Location Clustering Untuk Menentukan Tempat Tujuan Wisata Dengan Menggunakan Algoritma PAM (Partitioning Around Medoids)
Authors: Agustin Risna Risna 
Published: January 2024

Pariwisata adalah suatu kegiatan perjalanan dimana seorang individu atau kelompok mengunjungi suatu tempat tertentu untuk rekreasi atau mempelajari keunikan daya tarik tempat wisata yang dikunjungi. Salah satu tempat wisata di Indonesia yang banyak dikunjungi adalah Pulau Jawa dengan total kunjungan mencapai 186.894.200 jiwa dalam kurun waktu 5 tahun dimulai dari tahun 2014 hingga 2018. Dalam melakukan sebuah kunjungan wisata biasanya wisatawan akan melakukan proses perencanaan perjalanan dengan melihat informasi yang ada di internet, kemudian wisatawan akan menuliskan tempat tujuan yang akan dikunjungi. Proses merencanakan perjalanan wisata ini dapat membantu dalam mengatur perjalanan sehingga dapat mengunjungi setiap tempat wisata yang tersedia. Oleh karena itu dibutuhkan pengelompokan data tempat wisata untuk menentukan tempat wisata yang akan dikunjungi. Dalam penelitian ini algoritma PAM (Partitioning Around Medoids) digunakan untuk melakukan proses geo-location clustering pada data tempat wisata. Nilai K yang digunakan di inisialisasikan sebagai jumlah hari kunjungan. Penelitian ini menghasilkan 3 cluster, dimana cluster 0 memiliki jumlah kunjungan wisata sebanyak 284 tempat wisata dengan rata-rata koordinat masuk kedalam wilayah Jawa Barat, cluster 1 memiliki jumlah kunjungan wisata sebanyak 470 tempat wisata dengan rata-rata koordinat masuk kedalam wilayah Jawa Tengah, dan cluster 2 memiliki jumlah kunjungan wisata sebanyak 260 tempat wisata dengan rata-rata koordinat masuk kedalam wilayah Jawa Timur. Hasil evaluasi menggunakan metode Silhouette Coefficient untuk nilai K=3 yaitu 0,3386 sehingga hasil cluster yang terbentuk cukup baik.
SYSTEM LITERATURE REVIEW: IDENTIFIKASI PENYAKIT BERDASARKAN IRIDOLOGI
Authors: Ilmi Nurul , Sularso Alva Nurvina 
Published: January 2024

Identifikasi penyakit berdasarkan iridologi dengan metode terbaik sangat dinantikan para ahli sehingga dapat menjadi kemajuan dalam diagnosis medis. Untuk itu penting menghasilkan sistem yang akurat untuk identifikasi penyakit berdasarkan iridologi. Sistem yang akurat diperlukan metode terbaik yang menghasilkan akurasi yang tinggi. Maka dalam tulisan ini dilakukan tinjauan pustaka sistematis/ systematic literature review (slr) untuk menganalisis metode yang digunakan dalam setiap tahap identifikasi penyakit melalui citra iris mata. Hasilnya didapatkan metode Gray Level Co-Occurence Matrix (GLCM) untuk ekstraksi ciri dan metode untuk Convolutional Neural Network (CNN) dan SVM untuk klasifikasi/matching.
Complication rates after direct anterior vs posterior approach for hip hemiarthroplasty in elderly individuals with femoral neck fractures
Authors: Charles Tatiana , Bloemers Nicolas , Kapanci Bilal , Jayankura Marc 
Published: January 2024

BACKGROUND
Dislocation rates after hemiarthroplasty reportedly vary from 1% to 17%. This serious complication is associated with increased morbidity and mortality rates. Approaches to this surgery are still debated, with no consensus regarding the superiority of any single approach.
AIM
To compare early postoperative complications after implementing the direct anterior and posterior approaches (PL) for hip hemiarthroplasty after femoral neck fractures.
METHODS
This is a comparative, retrospective, single-center cohort study conducted at a university hospital. Between March 2008 and December 2018, 273 patients (a total of 280 hips) underwent bipolar hemiarthroplasties (n = 280) for displaced femoral neck fractures using either the PL (n = 171) or the minimally invasive direct anterior approach (DAA) (n = 109). The choice of approach was related to the surgeons’ practices; the implant types were similar and unrelated to the approach. Dislocation rates and other complications were reviewed after a minimum follow-up of 6 mo.
RESULTS
Both treatment groups had similarly aged patients (mean age: 82 years), sex ratios, patient body mass indexes, and patient comorbidities. Surgical data (surgery delay time, operative time, and blood loss volume) did not differ significantly between the groups. The 30 d mortality rate was higher in the PL group (9.9%) than in the DAA group (3.7%), but the difference was not statistically significant (P = 0.052). Among the one-month survivors, a significantly higher rate of dislocation was observed in the PL group (14/154; 9.1%) than in the DAA group (0/105; 0%) (P = 0.002). Of the 14 patients with dislocation, 8 underwent revision surgery for recurrent instability (posterior group), and one of them had 2 additional procedures due to a deep infection. The rate of other complications (e.g. , perioperative and early postoperative periprosthetic fractures and infection-related complications) did not differ significantly between the groups.
CONCLUSION
These findings suggest that the DAA to bipolar hemiarthroplasty for patients with femoral neck fractures is associated with a lower dislocation rate (< 1%) than the PL.
SCENARIOS FOR COGNITIVE RESEARCH OF INDUSTRIAL COMPLEXES (MODELED ON THE SOUTHERN FEDERAL DISTRICT)
Authors: МАКАРЕНЯ Т.А. , МАННАА А.С. , ПЕТРЕНКО С.В. , КАЛИНИЧЕНКО А.И. 
Published: January 2024

В условиях введенных экономических санкций и эскалации геополитической ситуации в мире нашей стране необходимо восстанавливать и развивать национальную промышленность. Для планомерного развития всех отраслей промышленности необходимо четко понимать что и в каком количестве стране нужно вырабатывать средств производства. Для этого необходимо восстанавливать и разрабатывать новые методы планирования. В данной статье представлен один из сценариев развития промышленного комплекса Южного федерального округа путем применения инструментария моделирования – когнитивного моделирования. Авторами был проведен PEST–анализ по установлению внешних факторов, влияющих на промышленный комплекс Южного федерального округа. В результате было определены виды промышленного производства по субъектам Южного федерального округа, проанализированы программы развития промышленности субъектов ЮФО, так как в исследуемом федеральном округе нет программы промышленного комплекса федерального округа, определены индикативные, управляющие и регулирующие вершины. По результатам был разработан один из сценариев развития сложной системы – промышленного комплекса Южного федерального округа, занимающего 6 место по доле обрабатывающего производства среди федеральных округов.
In the context of the imposed economic sanctions and the escalation of the geopolitical situation in the world, our country needs to restore and develop the national industry. For the systematic development of all industries, it is necessary to clearly understand what and how much the country needs to produce means of production. To do this, it is necessary to restore and develop new planning methods. This article presents one of the scenarios for the development of the industrial complex of the Southern Federal District through the use of modeling tools - cognitive modeling. The authors conducted a PEST analysis to determine external factors affecting the industrial complex of the Southern Federal District. As a result, the types of industrial production for the subjects of the Southern Federal District were determined, the industrial development programs of the subjects of the Southern Federal District were analyzed, since in the federal district under study there is no program for the industrial complex of the federal district, indicative, control and regulatory peaks were identified. Based on the results, one of the scenarios for the development of a complex system was developed - the industrial complex of the Southern Federal District, occupying.