bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pengembangan Back-End Sistem Informasi Program Studi Teknik Informatika FakultasMIPA Universitas Udayana
Authors: Dharmajaya Gede Putra , Arya Kadyanan I Gusti Agung Gede 
Published: March 2021

Ilmu Komputer merupakan ilmu terapan dari ilmu-ilmu dasar yang mengalami perkembangan sangat pesat seiring dengan pesatnya perkembangan Ilmu Pengetahuan dan Teknologi (IPTEK). Penguasaan bidang ilmu komputer belakangan ini sangatlah dirasa perlu dalam meningkatkan sumber daya manusia sebagai tuntutan dari perkembangan teknologi. Khususnya dalam mendukung peningkatan kualitas Tridarma Perguruan Tinggi di dalam institusi dan untuk menunjang proses-proses pembangunan masyarakat (daerah dan nasional), bidang ilmu komputer dirasa sangat perlu dikembangkan di Universitas Udayana (UNUD). Jurusan Ilmu Komputer merupakan jurusan di Fakultas MIPA Universitas Udayana yang melaksanakan pelayanan pendidikan mahasiswa di bidang IT. Jurusan Ilmu Komputer memiliki peranan penting untuk meningkatkan pendidikan mahasiswa di bidang IT sehingga dapat diterapkan di kehidupan masyarakat. Mahasiswa yang melaksanakan perkuliahan di Jurusan Ilmu Komputer diberikan program-program tertentu untuk meningkatkan kemampuan mahasiswa dalam penguasaan ilmu yang telah dipelajari selama mengikuti kuliah. Salah satu program jurusan yang wajib diikuti yaitu Praktek Kerja Lapangan (PKL). Melihat dari permasalahan yang ada di Jurusan Ilmu komputer, PKL jurusan Ilmu Komputer dilaksanakan di jurusan itu sendiri dikarenakan untuk membuat suatu sistem informasi yang bernama SIKI yang dapat digunakan untuk memberikan suatu informasi mengenai semua informasi yang ada di Jurusan Ilmu Komputer.
Pengembangan Bagian Penilaian Pembelajaran Pada Sistem Penjaminan Mutu ProgramStudi Teknik Informatika
Authors: Hendrawan Made Chandra , Karyawati Anak Agung Istri Ngurah Eka 
Published: March 2021

Dewasa ini, perkembangan teknologi terjadi dengan sangat pesat, hal ini membuat semua hal dapat dikerjakan dan diintegrasikan satu sama lain secara cepat dan mudah. Teknologi yang berkembang demikian kemudian digunakan untuk membantu manusia, sehingga tidak heran pada masa sekarang ini pekerjaan manusia tidak lepas dari penggunaan komputer dan juga koneksi internet untuk dapat saling berkomunikasi serta melakukan pertukaran data. Penggunaan teknologi informasi yang baik dapat mempercepat dan mempermudah pekerjaan manusia sumber daya manusia yang ada pun dapat dimanfaatkan dengan lebih efisien.Mahasiswa yang melaksanakan perkuliahan di Jurusan Ilmu Komputer diberikan program-program tertentu untuk meningkatkan kemampuan mahasiswa dalam penguasaan ilmu yang telah dipelajari selama mengikuti kuliah. Untuk menunjang program akademis di Program Studi Teknik Informatika tentunya tidak luput dari sarana prasarana yang menunjang. Terutama dibutuhkannya suatu sistem yang dapat mempermudah dosen untuk membagikan materi pelajaran kepada mahasiswa. Dalam system, dosen dapat menambahkan , mengedit, menghapus materi setiap matakuliah, mengupload file materi, kontrak kuliah, RPS, soal dan nilai quiz, uts maupun uas. Sedangkan, admin (pegawai) dapat menambahkan, mengedit, dan menghapus data yang ada jika terjadi penambahan ataupun pengurangan terhadap matakuliah, data dosen,semester, dan angkatan. Dengan adanya Sistem Penjaminan Mutu ini diharapkan dapat bermanfaat dalam memberikan informasi akademis terutama mengenai matakuliah,materi, dan nilai yang akan disampaikan oleh dosen.
Quantization-Based Novel Extraction Method Of EEG Signal For Classification
Authors: Angreni Ni Putu Dewi , Muliantara Agus , Christian Yuriko 
Published: March 2021

In the pattern recognition field, features or object’s characteristics are one of the key points to recognizing them. The feature extraction process will see that objects have different features, where the features are obtained through the analysis process from the extractor, such as for data statistics, energy, power spectral, and so on. This study aims to enrich the point of view of EEG signal features by quantifying the signal. It will be analyzed whether the features obtained by quantization represent the EEG signal object from different viewpoints. This research uses the DEAP dataset, with the result being a feature vector that will be included in the artificial neural network classifier using the Keras library. The experiment carried out is to try to enter quantized and Non-quantized feature vectors into the classifier. As a result, the accuracy of the classification process with the quantization vector was 75%, and the accuracy in the Non-quantized vector classification process was only 58%. These results indicate the EEG signal quantization feature can represent the EEG signal object.
Keywords: EEG signal, quantization, DEAP, feature extraction, pattern recognition
Computer Network Design Using PPDIOO Method With Case Study of SMA Negeri 1 Kunir
Authors: Yuliana Dela , Mogi I Komang Ari 
Published: March 2021

Technological developments are very beneficial for the world of education, such as the use of the internet in finding and managing information and can help in the teaching and learning process. Before using the internet, there was a computer network that played an important role in it. In building a computer network, a concept or method is needed in designing it, and here the PPDIOO method will be used and uses two types of network topologies, namely star and ring topologies. With the design of this computer network, it can help schools in the teaching and learning process and can improve the quality of teaching, the quality of knowledge and the quality of the abilities of students and teachers.
Keywords: Education, Technology, Computer Networks, PPDIOO Method, Network Topology
Implementation Of The K-Nearest Neighbor (KNN) Algorithm For Classification Of Obesity Levels
Authors: Dewi Ayu Made Surya Indra , Dwidasmara Ida Bagus Gede 
Published: March 2021

Obesity or overweight is a health problem that can affect anyone. In research in several journals, it was found that obesity can be influenced by many factors, but the most dominant factors are lifestyle and diet. Obesity should not only be considered as a consequence of an unhealthy lifestyle, but obesity is a disease that can lead to other dangerous diseases. Therefore, it is important to know the level of obesity in order to take early prevention.
To determine the level of obesity, a classification method is used, namely K-Nearest Neighbor (KNN) to classify the level of obesity. In this study, classification was carried out with 16 test parameters, namely Gender, Age, Height, Weight, Family History With Overweight, FAVC, FCVC, NCP, CAEC, Smoke, CH2O, SCC, FAF, TUE, CALC, Mtrans and 1 class attribute, namely Nobesity. From tests carried out using the KNN algorithm, the results obtained are 78.98% accuracy with a value of k = 2.
Keywords: Obesity, KNN, Classification
Endek Classification Based On GLCM Using Artificial Neural Networks with Adam Optimization
Authors: Guna Putu Wahyu Tirta , Putri Luh Arida Ayu Ayu Rahning 
Published: March 2021

Not many people know that endek cloth itself has 4 known variances. .Nowadays. Computing and classification algorithm can be implemented to solve classification problem with respect to the features data as input. We can use this computing power to digitalize these endek pattern. The features extraction algorithm used in this research is GLCM. Where these data will act as input for the neural network model later. There is a lot of optimizer algorithm to use in back propagation phase. In this research we prefer to use adam which is one of the newest and most popular optimizer algorithm. To compare its performace we also use SGD which is older and popular optimizer algorithm. Later we find that adam algorithm generate 33% accuracy which is better than what SGD algorithm give, it is 23% accuracy. Longer epoch also give affect for overall model accuracy.
Rancang Bangun Jaringan Internet di Kantor Desa Kerta
Authors: Bagaskara Aditya Caesar , Gede Suhartana I Ketut 
Published: March 2021

Pada tahun 2018, Kantor Desa Kerta di desa Kerta, kecamatan Payangan, kabupaten Gianyar menerima bantuan desa digital dari Kementerian Komunikasi dan Informatika (Kominfo). Desa digital adalah program pemerintah pusat untuk mengembangkan komunikasi terutama daerah pedesaan yang masih terkendala jaringan internet. Program ini diharapkan bisa membantu warga desa Kerta untuk mendapatkan akses internet.
Masalah jaringan muncul pada bulan Januari 2019, dimana sinyal dari program bantuan desa digital menurun sampai tidak ada koneksi. Hal ini membuat pelayanan online dan akses internet warga di kantor desa Kerta menjadi terlambat. Oleh karena itu, perlu dilakukan penelitian mencari alternatif jaringan internet bagi kantor Desa Kerta.
Salah satu alternatif jaringan yang didapatkan adalah jaringan operator seluler, yaitu Telkomsel karena memiliki sinyal terbaik di area kantor Desa Kerta. Kemudian dilakukan pemetaan lokasi menggunakan google link planner, test kecepatan jaringan menggunakan situs speedtest dan rancangan sistem menggunakan hardware yang sudah ada dari program desa digital. Hasil yang didapat adalah jaringan internet 4G telkomsel dengan kecepatan unduh 24.18 mbps dan unggah 20.59 mbps
Kata kunci : pemetaan lokasi, kecepatan jaringan
Digital Forensic Analysis Of Michat Application On Android As Digital Proof In Handling Online Prostitution Cases
Authors: Mahendra Kadek Dwi Oka , Ari Mogi I Komang 
Published: March 2021

Smartphone technology and the Internet are very popular lately, especially with various features, one of which is instant messaging. But behind it all, instant messaging like MiChat is very vulnerable to becoming a crime, one of which is Online Prostitution. To follow up on Online Prostitution activities, it is necessary to carry out mobile forensics to find evidence which is then given to be given to the authorities. This study uses the MiChat application as an online prostitution media, and uses the National Institute of Justice (NIJ) method which has five basic stages is, preparation, collection, examination, analysis, and reporting. This research uses MOBILedit Forensic Express, and SysTools SQLite Viewer.
Case Based Reasoning And Naive Bayes Implementation In Laptop Purchasing Recommender System
Authors: Dharmawangsa I Gusti Ngurah Agung , Supriana I Wayan 
Published: March 2021

Purchasing a new laptop will be difficult if we do not know what the ideal laptop specification for our needs. Especially with a wide selection of laptops. From this problem, system that can give a recommendation to choose the right laptop based on purchaser’s specification choice is needed. This research using two method, Case Based Reasoning and Naive Bayes. The concept of Case Based Reasoning is the process of solving new problems based on the solutions of similar past problems, While Naive Bayes assumes that the presence of a particular feature in a class is unrelated to the presence of any other feature. Naive bayes will be implemented in retrive process of case based reasoning. The recommender system utilizing 7 feature, Kecepatan Processor, Kapasitas Ram, Tipe Grafis, Ukuran Layar, Ukuran Harddisk, Kecepatan Layar, and Harga. The percentage of respondents who said the system was successful in providing the right recommendations was 70 percent of the total respondents.
Bronquiolite Respiratória associada à Doença Intersticial Pulmonar e Histiocitose das Células de Langerhans: estudo de caso
Authors: Negreiros Ricardo Andre Medeiros , Simas Bernardo Rosado Negreiros Gadelha , Rosado Victor José Negreiros de Sá , Nunes Giulia Palitot de Oliveira Lima , Amorim Pedro Paulo Feitosa , D'Assunção Luís Eduardo Negreiros , Queiroga Fernando José Pinho , D'Assunção Viviane Rosado Negreiros 
Published: March 2021

Objetivo: Relatar um caso notável de Bronquiolite Respiratória associada à Doença Intersticial Pulmonar (RB-ILD) cursando com Histiocitose das Células de Langerhans (LCH). Detalhamento do Caso: Paciente masculino, 57 anos, obeso, sedentário, com carga tabágica de 80 maços-ano. Em consulta de rotina, realizou tomografia computadorizada de tórax (TC) que revelou pequenas opacidades nodulares de aspecto inespecífico, além do diagnóstico de enfisema pulmonar centrolobular. Após 8 meses, compareceu ao pneumologista com tosse persistente e sem alterações no exame físico. Feita nova TC, evidenciou-se múltiplas opacidades nodulares de contornos irregulares acometendo difusamente o parênquima de ambos os pulmões, predominando nos lobos superiores e médio, com suspeita de envolvimento neoplásico secundário. Feita biópsia pulmonar, observou-se infiltrado inflamatório nodular, com bordas irregulares, em distribuição peribronquiolar e subpleural, composto por histiócitos pigmentados e agregados linfoides em meio a fibrose. O parênquima adjacente revelou bronquiolite respiratória. O exame imuno-histoquímico revelou positividade para células CD1a+ em alguns nódulos. Os achados foram compatíveis com RB-ILD e LCH, sendo estas doenças de etiologia raras que se apresentam nos exames de imagem similares a outras afecções pulmonares. Considerações Finais: Por tratar-se de condições raras, é necessário que seja feita a devida investigação para se evitar diagnósticos incorretos e tratamentos inadequados.
Customized Attachment for Cheek Plumper: A Case Report
Authors: Vidushi Saxena  , Nikhil  Kumar Chaudhary  , Manisha Gulati  , Salil Pawah  
Published: March 2021

The goals of replacement of teeth with a complete denture are not limited to only providing the patient with the ability to chew food comfortably. Due to the increasing demands and consciousness of the patients regarding esthetics, prosthodontist must emphasize on not just the function but also overall appearance of the patients. The loss of support of the facial musculature is of great concern in treating completely edentulous patients. Sunken cheeks are one of the major consequences of flaccid facial musculature. The incorporation of cheek plumpers in the dentures has improved the appearance of patients with such conditions. They are noninvasive and straightforward to fabricate. Various attachments may be used for this purpose depending upon the case present. This case report involves 2 cases with different techniques for the attachment of detachable cheek plumpers.
Validated stability-indicating RP-HPLC method for simultaneous estimation of cilnidipine and chlorthalidone in tablet dosage form
Authors: Ashok B. Patel  , Amitkumar J. Vyas  , Shital Faldu  , Arvind N Lumbhani  , Nikunj J. Patel  , Nilesh K. Patel  , Ajay I. Patel  , Jayant R Chavda  
Published: March 2021

A novel, simple, specific, accurate & precise stability-indicating Gradient reverse-phase high-performance liquid chromatography (RP-HPLC) method was developed for simultaneous estimation of Cilnidipine & Chlorthalidone in tablet dosage form, validated as per ICH guideline. The separation was achieved on Inertsil ODS column (250 mm x 4.6 mm, 5 μm) in a gradient mode. The mobile phase consisted of Methanol, 0.025 M Potassium dihydrogen phosphate Buffer pH 5.5 adjusted by 10% v/v Ortho Phosphoric Acid (50:50 v/v) (Solution A) and Acetonitrile, 0.025 M Potassium dihydrogen phosphate Buffer pH 5.5 adjusted by 10%v/v Ortho Phosphoric Acid (75:25 v/v) (Solution B), gradient programming for 20 min at 1 ml/min rate of flow and response was detected at 225 nm. The retention time was found to be 3.580 min and 12.606 mins for Chlorthalidone and Cilnidipine, respectively. The method is validated according to ICH guideline, which includes linearity, specificity, accuracy, precision and robustness. Linearity was obtained over the concentration range of 10-60 μg/ml for Cilnidipine and 6.25-37.5 μg/ml for Chlorthalidone, had a regression coefficient (r2) almost 0.9966. The % Recovery was found to be 99.63-100.59 % and 100.24-100.51 % for Cilnidipine and Chlorthalidone, respectively. The method was found to be specific enough to separate all degradation products from the active compound. Drug samples were exposed to various stress conditions like photolysis, oxidation, heat conditions, and hydrolysis (acidic and alkaline), there was no interference of any degradants and excipient in the determination of drugs so that methods can be successfully applied for routine QC analysis.
Potential Health Benefit Of Isoflavones
Authors: Vadivelan Ramachandran  , Bhargav Bhongiri  , Raju Bairi  , Raman Suresh Kumar  
Published: March 2021

Isoflavones are bioactive compounds and structurally related to 17-β-estradiol having mild estrogenic character also known phytoestrogen. These are available in more quantities in vegetables like green beans, soybeans, mung beans. In grains, they are available for the most part as glycosides, which are absorbed very poorly. It can behave as estrogen agonists or antagonist, by depending on the estrogenic level of endocrine, yet the action of isoflavones are complex because of numerous factors, for example, compound structures and mode of action. Though foods rich in isoflavones have become a centre of interest because of their beneficial effect on many health issues. In view of the appraisal of these illnesses by the action of isoflavones, it was fulfilled that the ability of isoflavones in the anticipation and management of different ailments generally results from their phytoestrogen antioxidant action. Isoflavones were called to as mysterious biological compounds that characteristic to forestall many major health issues. Intake of soy product has been connected to a decrease in rate or seriousness of long term illness, for example, heart disorder, breast and prostate malignancies, menopausal symptoms, bone disorder, so forth. This review discussed an overview of its health benefit on different human diseases.
A Study on Antibiotic Usage Pattern in Pediatric Population for Urinary Tract Infection
Authors: Divya V Nair  , Gopika S Kumar  , Remya Raghu  
Published: March 2021

A prospective observational cohort study was conducted on 144 patients admitted with UTI for a period of 1 year and observed for the recurrence for next 1year. The objective was to study the antibiotic resistance pattern of uropathogens in UTI and to assess the antimicrobial utilization pattern in the pediatric ward of a tertiary care hospital. The confirmatory test used for UTI was urine culture. The most common causative agent for UTI was found to be Escherichia coli followed by Klebsiella. Antibiotic testing of E.coli and other isolates was done which showed greater sensitivity to meropenem and amikacin compared to other antibiotics tested. This isolates showed increasing resistance to commonly used antibiotics. Most of the children (74.31%) were treated with a single antimicrobial agent. Cephalosporins (n = 87; 60.41%) were prescribed to majority of the children, followed by Penicillin derivatives (n = 42; 29.17%) and Carbapenems (n = 16; 11.11%). The percentage of antimicrobials administered by parenteral route was found to be 79.17%. The major problems encountered in the management are relapse of UTI and treatment failure. Out of 144 children, 40 children had recurrent UTI. Among them for 25 children, antibiotics were not given according to the culture sensitivity pattern during their first UTI. Recurrent UTI can occur if adequate antimicrobial therapy based on antimicrobial susceptibility test is not given during initial UTI. This demonstrates the need for rational use of antimicrobials and judicious prescribing. The implementation of antibiotic policy and treatment guidelines based on regional data on antimicrobial susceptibility of uropathogens with periodic assessment of the clinical pharmacist in the study area is recommended.
A study to compare the analgesic efficacy of intra-articular Levobupivacaine, Fentanyl and Clonidine following arthroscopic knee surgery
Authors: Abhilash Dash  , Rabi Narayan Dhar  , Sidharth Sraban Routray  , Syed Sabir Ali  
Published: March 2021

Arthroscopic knee surgery can produce pain postoperatively which can be very distressing. Many drugs, in various ways, have been tried to overcome this pain. But none found to be most effective. So we have done a study for correlating with the analgesic levobupivacaine efficiency, fentanyl, & clonidine into intra-articular therapy associated with arthroscopic surgeries. This study was conducted from Nov 2019 to April 2020, in which 90 patients undergoing arthroscopic surgery of knee split in 3 classes of 30 each. (L,F,C). Class L was injected 10 millilitre in levobupivacaine of 0.26% e, where Class F was injected 50 mcg fentanyl, and Class C was injected 50 mcg of clonidine in intra-articular therapy after surgery. Time of first analgesia request, no of the analgesic dose required and total rescue analgesic required in postoperative 24 hours were assessed. The pain was assessed using a visual analogue scale. Demographic characteristics were similar among all the three Class. Time for the need of 1st analgesic request in Class L was 381.57 ± 24.63 min, in Class F was 328.67 ± 20.42 min and in Class C was 238.47 ± 21.93 minutes.(p<0.06) The overall amount of doses of analgesic needed was fewer in Class L (1.21 ± 0.57) in comparison to Class F (1.95 ± 0.42) and Class C (2.12 ± 0.34). (p<0.05) A total dose of paracetamol used was reduced in Class L correlated with Class F and C in 1st 24 hrs postoperatively. (p<0.05) Class F & C has a highest average score of VAS at various time points in 1st 24 hrs correlated with Class L.(p<0.05) Intra-articular levobupivacaine obtained better control of pain in the postoperative period with a delayed time of need of 1st analgesic dose and reduced the need of a total dose of rescue analgesic in comparison to intra-articular clonidine and fentanyl.
An Empirical Analysis to Understand Consumer Intention to Use Mobile Payment Platform: The Mediating Role of Trust
Authors: Gill Atif Ali , Ansari Riaz Hussain , Malik Zobia , Tufail Muhammad Waseem 
Published: March 2021

Purpose: Money transfer through third-party mobile payment platforms has become common nowadays in western countries. While in developing countries, the adoption of mobile payment channels still at the infancy stage. The current study based on diffusion of innovation theory investigates the antecedents of intention to use mobile payment channels through trust's mediating role.
Methodology: The survey method was used to collect data from the 250 consumers using the mobile payments services of JazzCash and Easypaisa in Pakistan. Partial least square structural equation modeling (PLS-SEM) technique employed to test the collected data statistically.
Findings: Results found the significant impact of mobility, customization, and security on trust that intends to utilize mobile-payment channels.
Implications: The current study's findings provide guidelines to the administration of mobile payment systems to improve security features, mobility, and customization that wins customers' trust and is inclined to use mobile payment platform.