bluuebunny/crossref_metadata_2025_split huggingface dataset:
Neural Network Pruning in Unsupervised Aspect Detection based on Aspect Embedding
Authors: Maulana Muhammad Haris , Khodra Masayu Leylia 
Published: April 2023

Aspect detection systems for online reviews, especially based on unsupervised models, are considered better strategically to process online reviews, generally a very large collection of unstructured data. Aspect embedding-based deep learning models are designed for this problem however they still rely on redundant word embedding and they are sensitive to initialization which may have a significant impact on model performance. In this research, a pruning approach is used to reduce the redundancy of deep learning model connections and is expected to produce a model with similar or better performance. This research includes several experiments and comparisons of the results of pruning the model network weights based on the general neural network pruning strategy and the lottery ticket hypothesis. The result of this research is that pruning of the unsupervised aspect detection model, in general, can produce smaller submodels with similar performance even with a significant amount of weights pruned. Our sparse model with 80% of its total weight pruned has a similar performance to the original model. Our current pruning implementation, however, has not been able to produce sparse models with better performance.
Information Retrieval for Early Detection of Disease Using Semantic Similarity
Authors: Aszani Aszani , Wicaksono Hayyu Ilham , Nadzima Uffi , Heryawan Lukman 
Published: April 2023

The growth of medical records continues to increase and needs to be used to improve doctors' performance in diagnosing a disease. A retrieval method returns proposed information to provide diagnostic recommendations based on symptoms from medical record datasets by applying the TF-IDF and cosine similarity methods. The challenge in this study was that the symptoms in the medical record dataset were dirty data obtained from patients who were not familiar with biological terms. Therefore, the symptoms were matched in the medical record data with the symptom terms used in the system and from the results, data augmentation was carried out to increase the amount of data up to about 3 times more. In the TF-IDF the highest accuracy with is only , while after augmentation of the test data, the accuracy becomes . The highest accuracy results with the same value using the cosine similarity method is and with the augmented test data accuracy increasing to . From this study it was concluded that a system with sufficient and relevant input of symptoms would provide a more accurate disease prediction. Prediction results using the TF-IDF method with are more accurate than predictions using the cosine similarity method.
Vehicle Detection System Using Ultrasonic And Magnetic Fields Sensors Based On LoRa Communication
Authors: Afrizal Fakhri , Prastowo Bambang Nurcahyo 
Published: April 2023

Nowadays, privately owned vehicles still holds the position as the staple of transportation used by the majority of people, especially in Indonesia. Along with the increasing number of vehicles, its necessary to develop infrastructure that can support its usage. One of them is the development of a parking management system. The current conventional parking system in Indonesia requires users to surround the parking area to find an empty parking space. These activity takes time for the user so it is inefficient. To resolve that problem, it needs a smart parking system that can provide information about empty parking space location directly to the users.This study discusses the design of a vehicle detection system in the implementation of outdoor smart parking. The device that used in this research is the ultrasonic sensor HC-SR04 and the HMC5883L magnetic field sensor for the detection process and uses LoRa RFM95W to communicate with the gateway device. The smart parking system designed is able to detect the presence of car in the parking area and differentiate the car from other objects with a 100% success rate percentage.
Analisis Photoplethysmography Jarak Jauh dalam berbagai Kondisi Pencahayaan
Authors: Babgei Atar Fuady , Sasongko Muhammad Wikan , Sardjono Tri Arief 
Published: April 2023

One of the limitations of photoplethysmography (PPG) using a contact sensor to estimate the heart rate is that the sensor must be attached directly to the patient's body. rPPG (remote-Photoplethysmography) can remotely monitor a patient's heart ratebased on an image. However, rPPG has limitations in instances where this technology is directly affected by the lighting conditions and direction of the observed subject. This study used rPPG based on the Green Channel and HSV (Hue, Saturation, and Value) color model to estimate heart rate under different lighting conditions. Analysis, computational methods,and image transformation functions are used for data selection, denoising, colormodel conversion, spectral analysis, and visualization to extract biomedical signals from inputs. The estimatedheart rate was then derivedusing spectral analysis on videostaken from an area of interest on the forehead. Compared to the ground truth, theaverage percentage error from the facial lighting tests conducted at 260 lux, 19 lux, and 11 lux for the Green Channel color modelis 0.038, 0.118, and 0.229, which is less than the HSV's error of 0.095, 0.212, and 0.247.
Determination of Groundwater Flow Pattern in the basement complex terrain of Ado-Ekiti, Southwestern Nigeria
Authors: Oyedele A. Akinola , Olayanju Gbenga , Oyedele Taiwo , Oyedele Kehinde , Ewumi Taofeek , Ogunlana Funmi 
Published: April 2023

Hydrostatic level sampling, geo-referencing and Geographic Information System were employed to delineate the major groundwater recharge / discharge zones, the groundwater flow direction and the groundwater divides in Ado-Ekiti metropolis with the objective of groundwater resource protection. Static water level measurements were made from 108 hand – dug wells evenly distributed on a regional basis. The latitudes, longitudes and elevations above mean sea level of the well points were measured using the Global Positioning System. A mean value of 5.84 ± 2.35 m above mean sea level was observed for the depths to the static water level with a mean value of 408.27 ± 46.06 m above mean sea level for the groundwater head. The contour maps obtained enabled the delineation of the major groundwater recharge / discharge zones, the groundwater flow direction and the groundwater divides with the regional tendency of the underground flow approximately lying along the Northwest – Southeast direction and groundwater divides along the South – Eastern/ South – Western axes of the Central portion. Strict environmental ethics must be enforced around the groundwater recharge / discharge zones and flow directions in order to avoid groundwater contamination.
Non-performing Loans and Deposit Money Banks’ Financial Performance: Empirical Evidence from Nigeria
Authors: Ughulu Stephen Ebhodaghe , Inobemhe Aliyu Mohammed , Ughulu David Esezobor 
Published: April 2023

Nigeria’s deposit money banks (DMBs) are financial institutions licensed by the Central Bank of Nigeria to mobilize demand and saving deposits from the surplus economic units for on-lending to the deficit economic units for investment and consumption purposes. In carrying out this intermediation function, DMBs are exposed to several risks including credit risk, market risk, interest rate risk, exchange rate risk, and others. Of these risks, the credit risk seems the most harmful to DMBs’ financial performance as its occurrence can easily and quickly send a bank into distress or outright liquidation. For over a decade now, DMBs in the country have been experiencing continuously increasing nonperforming loans portfolios. This type of scenario had led to poor financial performance among the Banks. It is for this reason that the present study seeks to verify empirically the impact of certain financial and macroeconomic variables on DMBs’ financial performance for the period 2001 to 2021, that is, 21 years. In doing this, we dissected financial performance into return on assets and return on equity. Hence, two separate models were specified in the study with return on asset and return on equity serving as the dependent variables in each of the models, while non-performing loans, loan-loss provisions, lending rate, bank size, monetary policy rate and inflation rate represented the independent variables. The longitudinal research design was adopted since the study’s data covered a specific timeframe. The fully modified ordinary least squares and the panel data regression techniques were used to analyze the data. The findings of the study revealed, among others, that non-performing loans exerted a negative impact on the financial performance of the DMBs in terms of return on assets and return on equity. It was, therefore, recommended that provisions for loan losses, even though appeared with positive impact on return assets and return on equity, should to be scaled up as the variable is frequently used as a strategic and effective means for mitigating loans losses and, invariably, the financial performance of the DMBs.
A verdade sobre os Gracie: A narrativa da introdução do Jiu-Jitsu no Brasil através dos quadrinhos de José Geraldo.
Authors: Santos Júnior João Júlio Gomes dos 
Published: April 2023

Este artigo tem como objetivo analisar a narrativa de José Geraldo sobre a introdução do Jiu-Jitsu no Brasil em sua revista em quadrinhos A verdade sobre os Gracie. Nossa principal hipótese é que as escolhas de José Geraldo para representar os acontecimentos passados da vida de Carlos Gracie foram essenciais para estabelecer uma visão idealizada sobre o papel da família Gracie na introdução do Jiu-Jitsu no país. Nesse processo, Carlos é descrito como uma criança habilidosa, um adulto valente, um protetor da honra e o principal responsável pela nacionalização do Jiu-Jitsu.
Predicting Mobile Money Transaction Fraud using Machine Learning Algorithms
Authors: Lokanan Mark 
Published: April 2023

The ease with which mobile money is used to facilitate cross-border
payments presents a global threat to law enforcement in the fight
against laundering and terrorist financing. This paper aims to use
machine learning classifiers to predict transactions flagged as a fraud
in mobile money transfers. Data for this paper came from real-time
transactions that stimulate a well-known mobile transfer fraud scheme.
This paper uses logistic regression as the baseline model and compares
it with ensembles and gradient descent models. The results indicate that
the established logistic regression model did not perform too poorly
compared to the other models. The random forest classifier had the most
outstanding performance among all measures. The amount of money
transferred was the top feature to predict money laundering transactions
through mobile money transfers. These findings suggest that more
research is needed to improve the logistic regression model. The random
forest classifier should be further explored as a potential tool for law
enforcement and financial institutions to detect money laundering
activities in mobile money transfers.
Expansion rebound deformation of clear aligners and its biomechanical influence: a three-dimensional morphologic analysis and finite element analysis study
Authors: Mao Bochun , Tian Yajing , Li Jing , Zhou Yanheng 
Published: April 2023

ABSTRACT

Objectives
To determine the expansion rebound deformation (ERD) of clear aligners (CAs) and its biomechanical influence.

Materials and Methods
A four-premolar extraction treatment plan was carried out for a patient with 2 CA companies. Thirty-six digitally scanned clear aligners with the corresponding 36 virtually constructed “ideal” aligners were constructed. The arch width and length between pairs of reference landmarks of the scanned CAs and corresponding dentition models were measured. Cone-beam computed tomography data and digital dental models were used for three-dimensional (3D) finite element analysis (FEA) modeling. Thirty-six scanned CA models with the corresponding 36 ideal CA models were constructed. One-way analysis of variance was used to determine the differences among deviation values at tooth level, and paired t-test was used to compare the displacements of teeth between the two group of CAs.

Results
All CAs were wider and shorter than the digital model from which they were constructed. In the scanned CA model group, significant stress was observed in the buccolingual area of the periodontal ligament on posterior teeth, and the corresponding displacements of teeth were also noted. Significantly larger coronal displacements were noted for the lateral incisor, the canine, the second premolar, and the first molar in the scanned CA group (P &lt; .05).

Conclusions
The general trend of ERD of thermoformed CAs was shown. This deformation may cause unforeseen tooth movements and negatively affect treatment outcomes.
Analisis Penyebab Kecelakaan Lalu Lintas (Studi Kasus: Rute Kota Padang-Arosuka-Solok Sitinjau Lauik)
Authors: Sari Mesla Putri Permata , Oktaviani Oktaviani 
Published: April 2023

Seringnya terjadi kecelakaan lalu lintas di ruas jalan Sitinjau Luik mendorong peneliti untuk mengidentifikasi faktor-faktor penyebab kecelakaan lalu lintasnya Penelitian ini bersifat kuantitatif pendekatan deskriptif dengan menggunakan metode instrumen penelitian. Teknik pengumpulan data menggunakan teknik Accidental Sampling dengan sampel sebanyak 35 sampel, diambil dari populasi tak terhingga pada ruas jalan Sitinjau Lauik. Berdasarkan hasil pengujian hipotesis uji korelasi berganda diketahui nilai r hitung ≥. r tabel, artinya antar variabel memiliki hubungan yang kuat. Adapun nilai uji t diketahui bahwa nilai t hitung seluruh variabel ≥ t tabel, artinya seluruh variabel independent berpengaruh terhadap variabel dependent. Sedangkan untuk uji koefisien determinasi nilai Kd adalah 100%. Artinya antara variabel bebas.(X1, X2, X3) dengan variabel terikat (Y) memiliki pengaruh yang kuat sebesar 1 atau tepatnya 100%.
Pengaruh Permeabilitas Tanah terhadap Laju Infiltrasi di Daerah Pengembangan Permukiman Kota Padang
Authors: Nasution Hoirunjamiah , Andayono Totoh 
Published: April 2023

Bertambahnya jumlah penduduk di kota Padang mengakibatkan kebutuhan lahan di kota Padang semakin meningkat dan berdampak pada pembangunan. Hal ini menyebabkan daerah resapan air hujan di kota Padang sangat sulit ditemukan, karena banyak lahan hijau telah beralih fungsi menjadi kawasan permukiman hingga areal pertokoan dan pusat-pusat perkantoran. Penelitian ini dilakukan bertujuan untuk mengungkapkan seberapa besar pengaruh permeabilitas tanah terhadap laju infiltrasi di daerah pengembangan permukiman kota Padang. Penelitian ini merupakan penelitian kuantitatif dengan pendekatan korelasional. Data yang digunakan berupa data primer yang didapatkan langsung dilapangan berupa data nilai laju infiltrasi dengan menggunakan alat Turf-Tec Infiltrometer, dan didapatkan dari pengukuran di Laboratorium berupa data nilai gradasi butiran (tekstur tanah) yang hasilnya didapatkan dari uji saringan (ayakan) dan uji hidrometer, serta data nilai permeabilitas dengan menggunakan alat permeameter. Sedangkan data sekunder didapatkan pada literatur atau arsip pemerintahan. Berdasarkan hasil uji permeabilitas tanah dan uji infiltrasi, diperoleh hasil bahwa tidak ada hubungan (tidak berkorelasi) antara permeabilitas tanah dan laju infiltrasi pada daerah pengembangan permukiman di kota Padang. Sedangkan permeabilitas tanah hanya berpengaruh sebesar 4,9 % terhadap laju infiltrasi.
Struktur Bangunan pada Rumah Penerima Bantuan Stimulan Perumahan Swadaya (BSPS) di Nagari Kambang Timur Kecamatan Lengayang Kabupaten Pesisir Selatan
Authors: Herol Herol , Putri Isria Miharti Maherni , Astuti Retno Fitri 
Published: April 2023

Rumah adalah kebutuhan primer untuk manusia. Dalam Undang-undang nomor 1 tahun 2011 menyatakan negara bertanggung jawab melindungi segenap Indonesia dengan penyelenggaraan perumahan dan kawasan pemungkiman supaya masyarakat mampu bertempat tinggal yang layak dan terjangkau dalam lingkungan yang aman, sehat, dan berkelanjutan di seluruh wilayah Indonesia. Bantuan Stimulan Perumahan Swadaya (BSPS) yang dikenal dengan program bedah rumah dari pemerintah dengan target mengurangi rumah yang tidak layak huni. Rumah tinggal dikatakan layak yang paling utama adalah kekuatan bangunan. Penelitian dilakukan Nagari Kambang Timur Kecamatan Lengayang Kabupaten Pesisir Selatan penerima bantuan tahun 2022. Metode Penelitian yang digunakan bersifat deskriptif. Penerapan struktur pada rumah penerima bantuan program BSPS di Nagari Kambang Timur Kecamatan Lengayang Kabupaten Pesisir Selatan telah memenuhi sesuai petunjuk berdasarkan buku Teddy Boen 2010. Dimensi tulangan utama berdiameter 10 mm, sengkang berdiameter 8 mm dengan jarak maksimum 150 mm. sambungan tulangan kolom-balok dan kolom sloof dilebihkan 40D dan bengkokan 90 derajat dan untuk perkuatan dinding pasang jangkar sepanjang 40D dengan diameter tulangan 10 mm dan perbandingan campuran beton yang digunakan adalah 1 semen : 2 pasir : 3 kerikil.
Kualitas Ruang Publik Taman Sehati Cikarang Berdasarkan Persepsi Pengguna
Authors: Astuti Retno Fitri , Soeroso Yusdianto Haryo , Manalu Tigor David 
Published: April 2023

Ruang publik merupakan salah satu komponen penting dalam membentuk sebuah kota, keberadaan ruang publik memberikan wadah bagi masyarakat untuk bersosialisasi, beraktifitas, dan rekreasi. Kualitas sebuah ruang pubik ikut menentukan kualitas kehidupan sosial masyarakat kota. Taman Sehati merupakan ruang publik yang ada di Jababeka, Cikarang, Bekasi, yang sudah mengalami renovasi dan sudah difungsikan kembali. Kondisi Taman Sehati sesudah direnovasi dengan pengelolaan yang dijalankan memerlukan penilaian dari masyarakat sebagai pengguna ruang untuk mengevaluasi keberhasilan sebuah desain perencanaan dan memberikan referensi desain ruang publik ke depan, karena itulah penelitian ini dilakukan untuk menggali persepsi masyarakat Cikarang akan kualitas Taman Sehati sebagai ruang publik. Responden dari penelitian ini diambil secara acak dari masyarakat yang pernah berkunjung ke Taman Sehati Cikarang dalam kurun waktu pasca renovasi. Standar komponen penilaian berdasarkan aspek fisik dan non fisik yang ada di lokasi penelitian. Hasil dari penelitian ini berupa rekomendasi yang bisadipakai sebagai dasar pertimbangan dalam perencanaan , perancangan dan pengelolaan sebuah ruang publik.
Analysis of production and potential utilization as electricity methane gas air dingin landfill
Authors: Pratama Dedy Aulya , Raharjo Slamet , Aziz Rizki 
Published: April 2023

This study intends to analyze methane gas emissions resulting in landfill procedures. The magnitude of the impact of methane gas emissions on global warming from the waste sector, it is necessary to calculate the potential amount of methane gas emissions of Padang city waste in the Air Dingin Landfill so that it can be used for new energy potential as an alternative energy to replace fossil fuels no longer as a contributor to global warming. In this study, the methodology contains systematic steps in researching to achieve research objectives, namely conducting preliminary studies and literature studies, formulating problems, and setting research objectives as well as how to collect and obtain research data. The result of this study is that the Air DIngin Landfill in Padang City is still processing open dumping, with land that has been operated around 50% of the existing land area. The high operational costs are one of the reasons the sanitary landfill system cannot be done by the Padang City Government. Methane gas produced from 2020 - 2031 in the Air Dingin Landfill is produced from scenario 1 (waste directly landfilled) which is 43,289 gigagrams of CH4 or 43,289 tons of CH4 emissions. CH4 emission scenario 2 (waste reduction by waste pickers in landfill) produced 43,267 gigagrams or 43,267 tons of CH4. CH4 emission scenario 3 (Reduction of waste at source, in the region, and in landfill) produced 40,944 gigagrams CH 4 or 40,944 tons of CH4. After converting methane gas into electrical energy, the potential electricity in scenario 1 is 84.15 megawatts, scenario 2 is 84.10 megawatts and scenario 3 is 79.59 megawatts in 2031.
PENGARUH DIGITAL MARKETING, KUALITAS PELAYANAN DAN KUALITAS PRODUK TERHADAP KEPUTUSAN PEMBELIAN MELALUI KEPUASAN KONSUMEN DI MASA PANDEMI
Authors: Wijayanti Desie - , Suyanto Suyanto , Sukesi Sukesi 
Published: April 2023

This study to determine the effect of digital marketing, service quality, products on purchasing decisions through consumer satisfaction as an Intervening Variable at PT Unionfam Azaria Berjaya during the Covid 19 Pandemic, totaling 253 respondents. The analytical tool used in this study is SEM AMOS 23. The results of the hypothesis are that digital marketing and product quality have a positive effect on purchasing decisions and consumer satisfaction, while service quality has no effect on purchasing decisions through satisfaction.
Keywords: Digital Marketing; Service quality; Product quality; Consumer Satisfaction and Purchase Decision.
INTEGRASI PENGETAHUAN LINGKUNGAN, SISTEM KERJA KINERJA TINGGI HIJAU, DAN GREEN AMIDEXTERITY TERHADAP KINERJA LINGKUNGAN UKM DI TALAUD
Authors: Amiman Elisabeth , Emilisa Netania 
Published: April 2023

This study examines the effect of Environmental Knowledge Integratoin (EKI), Green High Performance Work System (GHPWS), Green Ambidexterity (GA) on Environmental Performance (EP) in SMEs in Talaud. Where the purpose of this study is to analyze the effect of Environmental Knowledge Integration (EKI), Green High Performance Work System (GHPWS), Green Ambidexterity (GA) on Environmental Performance (EP) in SMEs and assist SMEs in dealing with emerging ecological environmental problems. By distributing questionnaires to employees working in SMEs in Talaud and collecting 120 responses from the survey conducted. From the survey and data processing, this research found that Environmental Knowledge Integration (EKI) does not have to reflect stakeholder pressure but is a proactive action in reducing sustainability issues in increasing Environmental Performance (EP), and in this case the Green High Performance Work System (GHPWS). ) Required to acquire, develop, and retain employees to bring the belief in green values into the workforce. The practice of the Green High Performance Work System (GHPWS) greatly assists SMEs in the process of training, recruitment, selection, evaluation of compensation performance and even employee participation policies as well as for maintaining green processes and product innovation where this can improve Environmental Performance (EP).
Kata Kunci: Environmental Knowledge Integratoin; Green HighPerformance Work System; Green Ambidexterity; Environmental Performance.