The relationship between night-time light and socioeconomic factors in China and India

This paper re-examines the relationships between night-time light (NTL) and gross domestic product (GDP), population, road networks, and carbon emissions in China and India. Two treatments are carried out to those factors and NTL, which include simple summation in each administrative region (total data), and summation normalized by region area (density data). A series of univariate regression and multiple regression experiments are conducted in different countries and at different scales, in order to find the changes in the relationship between NTL and every parameter in different situations. Several statistical metrics, such as R2, Mean Relative Error (MRE), multiple regression weight coefficient, and Pearson’s correlation coefficient are given special attention. We found that GDP, as a comprehensive indicator, is more representative of NTL when the administrative region is relatively comprehensive or highly developed. However, when these regions are unbalanced or undeveloped, the representation of GDP becomes weak and other factors can have a more important influence on the multiple regression. Differences in the relationship between NTL and GDP in China and India can also be reflected in some other factors. In many cases, regression after normalization with the administrative area has a higher R2 value than the total regression. But it is highly influenced by a few highly developed regions like Beijing in China or Chandigarh in India. After the scale of the administrative region becomes fragmented, it is necessary to adjust the model to make the regression more meaningful. The relationship between NTL and carbon emissions shows obvious difference between China and India, and among provinces and counties in China, which may be caused by the different electric power generation and transmission in China and India. From these results, we can know how the NTL is reflected by GDP and other factors in different situations, and then we can make some adjustments.

Implementasi Association Rule Dengan Algoritma Apriori Pada Data Peminjaman Buku Upt Perpustakaan Universitas Lampung Menggunakan Metodologi CRISP-DM

Abstrak - UPT Perpustakaan Universitas Lampung merupakan UPT yang bergerak di bidang perpustakaan. Memiliki dua layanan berdasarkan interaksinya yaitu layanan teknis dan layanan pengguna. Saat ini UPT Perpustakaan Universitas Lampung memiliki buku yang tercetak sebanyak 142.776. Penelitian ini bertujuan menemukan pola association rule dengan teknik data mining memanfaatkan software RapidMiner 9.1 dalam penerapan algoritma Apriori. Metode penelitian Cross Industry Standar Process for Data Mining (CRISP-DM) dengan tahapan business understanding phase, data understanding phase, data preparation, modelling phase, evaluation phase dan deployment phase. Data yang digunakan dalam penelitian ini adalah data transaksi peminjaman buku dari tahun 2014 hingga 2017 dengan total data peminjaman buku sebanyak 170.115. Hasil pemodelan association rule dengan algoritma apriori menggunakan nilai support 0.3 dan nilai confidence 0.3 diperoleh judul buku “Metodologi pengajaran bahasa” akan meminjam “English for tourism :panduan berprofesi di dunia pariwisata” nilai support 1 dan confidence 1. Rekomendasi untuk pembelian buku disarankan mengikuti pattern lampiran hasil asosiasi.Kata kunci: UPT Perpustakaan Universitas Lampung, Data Peminjaman Buku, Data Mining, Association Rule, CRISP-DM.

Overview of Diabetic Nephropathy in Type 2 Diabetes Mellitus Patients at Royal Prima Hospital Medan Indonesia

Diabetes Mellitus (DM) is a chronic disease characterized by blood glucose (blood sugar) levels exceeding normal. Diabetic nephropathy is a chronic microvascular complication that often occurs in diabetics. This study presents a picture of diabetic nephropathy in type 2 DM patients at the Royal Prima Hospital in Medan. This research is a type of descriptive research. The sample from this study was the total data of patients suffering from diabetic nephropathy who met the inclusion and exclusion criteria at Royal Prima Hospital from January 1, 2020 – to December 31, 2020. The inclusion criteria for the subjects of this study were complete patient medical records, type 2 diabetes patients, urinalysis tests. (proteinuria ≥ +2), renal function examination exceeds normal values, blood urea, and creatinine. The mean age of diabetic nephropathy patients was 57.52 years and the majority were 62 men (50.8%). The average picture of urea levels in diabetic nephropathy patients is 51.8 and the average creatinine level is 1.48. The majority of patients with diabetic nephropathy do not have proteinuria. And the average blood sugar level is 267 mg/dL. In conclusion, the incidence of diabetic nephropathy is highest in patients aged 57 years. The mean value of urea level is 51.80 mg/dl, creatinine value is 1.48 mg/dl, and the average blood sugar level is 267 mg/dl. Most proteinuria was in the negative category of as many as 107 people (87%).

QoE-Oriented Cooperative Broadcast Optimization for Vehicular Video Streaming

The popularity of online vehicular video has caused enormous information requests in Internet of vehicles (IoV), which brings huge challenges to cellular networks. To alleviate the pressure of base station (BS), Roadside Units (RSUs) and vehicle peers are introduced to collaboratively provide broadcast services to vehicle requesters where vehicles act as both service providers and service requesters. In this paper, we propose an efficient framework leveraging scalable video coding (SVC) technique to improve quality of experience (QoE) from two perspectives: (1) maximizing the data volume received by all requesters and (2) determining buffer action based on playback fluency and average playback quality. For (1), potential providers cooperate to determine the precached video content and delivery policy with the consideration of vehicular mobility and wireless channel status. If one provider fails, other sources will complement to provide requested content delivery. Therefore, their cooperation can improve the QoE and enhance the service reliability. For (2), according to buffer occupancy status, vehicle requesters manage buffer action whether to buffer new segments or upgrade the enhancement level of unplayed segment. Furthermore, the optimization of the data volume is formulated as an integer nonlinear programming (INLP) problem, which can be converted into some linear integer programming subproblems through McCormick envelope method and Lagrange relaxation. Numerical simulation results show that our algorithm is effective in improving total data throughput and QoE.

Meningkatkan V02 Max dan Penurunan Lemak Tubuh melalui Senam Aerobik pada Ibu-Ibu Anggota Senam Aerpast di Cidahu Tahun 2020

Abstrak Tujuan penelitian ini untuk mengetahui adanya pengaruh senam aerobik terhadap peningkatan max dan penurunan lemak tubuh pada ibu-ibu anggota senam aerpast di Cidahu tahun 2020. Adapun metodologi yang digunakan adalah eksperimen dengan desain penelitian menggunakan One-Group Pretest-Posttest Design. Populasi dalam penelitian ini sebanyak 12 orang anggota senam aerpast di Cidahu tahun 2020. Sampel penelitian ini sebanyak 12 orang, dengan teknik pengambilan sampel total. Data diperoleh melalui tes dan pengukuran variabel max menggunakan tes lari 12 menit dan untuk variabel lemak tubuh menggunakan pengukuran skinfold caliper. Hasil penelitian dianalisis menggunakan Uji T dua sampel independen. Hasil dari penelitian ini yaitu pada kolom nilai rata-rata max sebesar 20,92 dan untuk nilai rata-rata lemak tubuh sebesar 15,00. Pada output uji T dua sampel independen didapatkan nilai sig. sebesar 0,057 (5,7%) nilai sig. > 0,05 (5%). Berdasarkan hasil analisis dapat disimpulkan bahwa senam aerobik berpengaruh terhadap peningkatan max dan penurunan lemak tubuh serta terdapat perbedaan pengaruh senam aerobik, bahwa pada penelitian ini senam aerobik lebih berpengaruh terhadap peningkatan max dibandingkan penurunan lemak tubuh.

A Linguistic Landscape Study of English in Yogyakarta: Its Representation of Power in Commercial Boards

This research explores how English is used in the expanding circle: tourism areas in Yogyakarta, Indonesia. Although Bahasa Indonesia is the official language used, this does not mean that other languages will have a little share in the linguistic landscape. The total data used were 519 signboards which were analyzed qualitatively and quantitatively. This research found that in monolingual boards, the use of English was 23.7%, and Indonesian was 73.5%. The magnitude of the use of English, which is close to as salient as the use of Bahasa Indonesia, is particularly shown on the bilingual and multilingual signboards. This study highlights discussion on the representation of power of English in the investigated signboards, which was shown from the number of appearance and combination of English and other languages in the signboards. It is revealed that English is expressed not only for informative reasons but also for symbolic reasons such as indexing sophistication, cosmopolitanism, and fashionable appearance.

Pengaruh Kualitas Pembelajaran Terhadap Kepuasan Mahasiswa

The research do to identified how description about quality learningwhich has been given by teacher to students, to identified howdescription about students satisfaction and to find out howsubstantial the influence of quality learning toward studentssatisfaction research on business management STIEB PerdanaMandiri Purwakarta 2017 are 86 students. The data sources used inthis research were primary and secondary data, data collectiontechnique used was using by questionnaire, data measurement usedwas Likert scale using validity and reliability and data analysistechnique used is simple linear regressions. The result of thesignificant test (t test) in this research was t count = 32.316 and asignificance of 0.000. the procedure for finding table statistics withcriteria for the level of significance (?=0.1) for the two-party testand df or dk (degrees of freedom) = total data - 2 or 88-2 = 86. Sowe get t_(table ) = 1,991 Thus, t_(count )?t_(table ) or 32.316 1.991and the probability value is 0.05 more than the Sig value (0.05 >0.000), then Ha is accepted and Ho is rejected, meaning that it issignificant and the value of R = 0.961 and the coefficient ofdetermination (Rsquare ) of 0.924 ( is the square of the correlationcoefficient or 0.961 x 0.961 = 0.924 ). This means that learningaffects the satisfaction of undergraduate students of the BusinessManagement Study Program while attending lectures 92.4%. Whilethe remaining 7.6% is determined by other factors.

Klasifikasi Tutupan Lahan Melalui Citra Satelit SPOT-6 dengan Metode Convolutional Neural Network (CNN)

Lahan merupakan suatu wilayah dimana seluruh bagian biosfer dianggap tetap atau siklis yang terdapat di atas maupun di bawah permukaan bumi. Klasifikasi lahan dilakukan dengan tujuan untuk memudahkan pemantauan penggunaan serta pengaturan tata letak lahan pada suatu wilayah. Pada penelitian ini dilakukan klasifikasi terhadap citra lahan yang diperoleh dari satelit SPOT-6 dengan menggunakan Metode Convolutional Neural Network (CNN). Jenis lahan yang dilakukan klasifikasi berupa sawah, hutan, pemukiman, sungai dan bukit gundul dengan jumlah data yang digunakan adalah 350 data citra lahan. Dari total data, sebanyak 75% data digunakan sebagai data latih dan 25% digunakan sebagai data uji. Model CNN yang digunakan pada penelitian ini yaitu basic CNN dengan arsitektur yang terdiri dari 3 hidden convolutional layer, 1 fully connected layer dan 2 stride. Hasil performansi sistem yang diperoleh pada penelitian ini diantaranya adalah akurasi 95,45%, loss 0,2457, serta rata-rata dari masing-masing nilai precision, recall dan f1-score sebesar 0,92. Dapat disimpulkan bahwa metode CNN dapat digunakan secara optimal dalam mengklasifikasikan 5 jenis tutupan lahan.

Trends in Teledermatology Utilization in the United States

Background Teledermatology is an effective health care delivery model that has seen tremendous growth over the last decade. This growth can be attributed to a variety of factors, including but not limited to an increased access to dermatologic care for those with socioeconomic or geographic barriers, a reduction in health care costs for both the patient and the physician, and the delivery of high-quality dermatologic care. However, the associated barriers include practice reimbursements, interstate licensing, and liability. Despite these apparent barriers, the emergence of COVID-19 afforded teledermatology a surge of demand and loosened regulations, allowing dermatologists to see higher volumes of teledermatology patients. In this paper, we analyzed the American Academy of Dermatology’s DataDerm registry teledermatology utilization and patient demographic trends throughout the COVID-19 pandemic. Objective The aim of this paper was to characterize national-level teledermatology demographic data in the setting of the COVID-19 pandemic. Methods National-level data were curated for all practices enrolled in the American Academy of Dermatology’s DataDerm registry from April 1, 2020, through June 30, 2021. Encounter utilization rates were collected for visit type (ie, teledermatology versus in person), sex, race, age, insurance provider, and location (ie, in state versus out of state). The aggregate total data, as opposed to individual encounter data, were collected. Results The proportion of women who utilized services via teledermatology (65,023/98,642, 65.9%) was greater than that of those who utilized in-person services (29,40,122/50,48,450, 58.2%). Non-White patients made up a higher percentage of teledermatology utilizers (8920/62,324, 15%) when compared with in-person utilizers (3,94,580/35,08,150, 11.7%). Younger patients (aged <40) contributed more to teledermatology service utilization (62,695/75,319, 83.2%) when compared with in-person services (13,29,218/33,01,175, 40.3%). Medicare was a larger payor contributor for in-person services (8232/1,53,279, 25.2%) than for teledermatology services (10,89,777/43,30,882, 5.4%). Utilization by out-of-state patients was proportionally higher for teledermatology services (19,422/1,33,416, 14.6%) compared with in-person services (5,80,358/1,38,31,400, 4.2%). Conclusions Teledermatology services may reach and benefit certain populations (female, younger patients, those with non-White racial backgrounds, and out-of-state patients) more so than others. These baseline demographics may also serve to highlight populations for potential future teledermatology outreach efforts. Conflict of Interest None declared.

PENGENALAN HURUF LATIN PADA ANAK USIA DINI DENGAN PENERAPAN METODE BACKPROPAGATION

Early childhood has difficulty remembering Latin letters or Roman characters than adults. Some of the factors that cause it are cognitive development, motivation, interest in learning, emotions and environmental factors. To overcome this, an innovative media is needed so that children can easily remember Latin letters. One of the innovative media applies digital image processing techniques and artificial intelligence. The fonts used are 10 types of letter models with image processing techniques such as preprocessing, binaryization, pixel mapping and creating vector as feature extraction. While the artificial intelligence used is the backpropagation method. The total data is 208 letter images with 625 input features with 500 epochs, the best learning rate used by the system is 0.025 so that the best training accuracy is 93.96% and testing accuracy is 92.31%.