bluuebunny/crossref_metadata_2025 huggingface dataset:
Single-cell RNA-sequencing Analysis Reveals the Promoting Role of the Hedgehog Pathway in Epithelial Cells during Cervical Cancer Progression
Authors: Ji Chen , Wang Yiyi , Jiang Yingchun , Wang Yan
Published: August 2024

Aim:

This study explored the role of the Hedgehog pathway in epithelial cells
during cervical cancer [CC] progression, providing new insights for improving current
CC treatment.

Background:

Abnormal activation of the Hedgehog signaling pathway is associated
with the malignant transformation of CC epithelial cells. Single-cell atlas of CC and the
role of Hedgehog pathway in epithelial cells during CC progression remain to be explored.

Objective:

To comprehensively analyze the mechanism of Hedgehog pathway activation
in CC epithelial cells and its impact on tumor progression by applying single-cell RNA
sequencing [scRNA-seq] analysis.

Methods:

The scRNA-seq data were acquired from the Gene Expression Omnibus
[GEO] database and then processed with the Seurat package. FindNeighbors and Find-
Clusters functions were applied to cluster the cells. The CellMarker database was used
for subgroup annotation. Differentially expressed genes [DEGs] in each cell subgroup
were filtered by FindAllMarkers function. Biological function analysis for the gene set
of interest was performed using Clusterprofiler package. AUCell function was employed
to calculate the score of the Hedgehog pathway. The differentiation trajectory in epithelial
cell subtypes was generated by performing Pseudotime analysis. Finally, protein-protein
network [PPI] was used to investigate the interactions between the Hedgehog pathway
and other pathways enriched in the gene set of interest.

Results:

A total of 9 major cell subpopulations were classified and the proportion of
epithelial cells was the highest in CC samples. Further analysis revealed that the Hedgehog
pathway was abnormally activated in STYK1+ and TP73+ epithelial cell subtypes.
Pseudo-time trajectory analysis showed that the differentiation trajectory of STYK1+
epithelial cells gradually transformed into defense-to-virus cells or into proliferation
cells, while TP73+ epithelial cells eventually differentiated into two branches of response
to estrogen and virus-induced proliferation. PPI analysis showed that the Hedgehog
pathway was involved in the proliferation and viral process of epithelial cells in CC.

Conclusion:

The current study comprehensively analyzed the features of CC samples
and differentiation trajectories of epithelial cell subtypes, as well as the role of the
Hedgehog pathway in epithelial cells during CC progression. More importantly, effective
target genes were discovered for the molecular diagnosis and precise treatment of
CC.
A Novel Cuproptosis-Related Gene Signature Predicts Prognosis in Papillary Thyroid Carcinoma Patients
Authors: Cao Jun , Zhang Shijia , Zhou Kehui , Mao Xiaochun , Zhao Ming , Shang Jinbiao , Lan Xiabin
Published: August 2024

background:

Cuproptosis is a novel type of cell death mediated by protein lipoylation，and is closely related to mitochondrial metabolism. Clinical association of cuproptosis-related genes（CRGs）in thyroid cancer, however, remains unclear. In this study, we systematically evaluated the differential expression and genetic alterations of CRGs in papillary thyroid cancer (PTC) and constructed a CRG signature to predict the prognosis of PTC patients.

method:

We integrated the data of The Cancer Genome Atlas (TCGA) database and analyzed the expression of 10 CRGs in PTC. CRG signature was constructed by univariate Cox analysis and selection operator (LASSO) Cox regression. In addition, the signature-related molecular features were validated by a combination of functional enrichment, Cox regression, and immune infiltration analysis. Independent validation cohort data and quantitative real-time polymerase chain reaction (qRT-PCR) were used to validate the expression of differentially expressed CRG (CDKN2A).

result:

Thyroid cancer patients could be divided into two subtypes (low and high CRG score groups) and we found that overall survival (OS) of patients was lower in high CRG score group (HCSG) than in low CRG score group (LCSG) (p &lt; 0.001). And the area under the curve (AUC) values for 3 years, 5 years, and 8 years were 0.872, 0.941, and 0.976, respectively. Cox regression analysis showed that the CRG score could be used as an independent prognostic indicator for PTC. Functional enrichment analysis indicated that the CRG prognostic signature was also associated with the tumor immune microenvironment. In HCSG, the immune suppression type cell score is significantly higher than in LCSG. In addition, we identified the expression of CRG (CDKN2A) by qRT-PCR, and the results were consistent with the TCGA database.

conclusion:

Our CRG signature has a good predictive ability for the prognosis of PTC patients. CRGs may play an important role in tumorigenesis and could be used to predict immunotherapy efficacy of PTC.
ResUbiNet: A Novel Deep Learning Architecture for Ubiquitination Site Prediction
Authors: Duan Zixin , Liang Yafeng , Xiu Xin , Ma Wenjie , Mei Hu
Published: August 2024

Introduction:

Ubiquitination, a unique post-translational modification, plays a cardinal
role in diverse cellular functions such as protein degradation, signal transduction, DNA repair, and
regulation of cell cycle.

Method:

Thus, accurate prediction of potential ubiquitination sites is an urgent requirement for exploring
the ubiquitination mechanism as well as the disease pathogenesis associated with ubiquitination
processes.

Results:

This study introduces a novel deep learning architecture, ResUbiNet, which utilized a protein
language model (ProtTrans), amino acid properties, and BLOSUM62 matrix for sequence embedding
and multiple state-of-the-art architectural components, i.e., transformer, multi-kernel convolution,
residual connection, and squeeze-and-excitation for feature extractions.

Conclusion:

The results of cross-validation and external tests showed that the ResUbiNet model
achieved better prediction performances in comparison with the available hCKSAAP_UbSite, RUBI,
MDCapsUbi, and MusiteDeep models.
Celastrol Derivative/DOX Co-Assembled Nanodrug for Enhanced Antitumor Therapy
Authors: Su Jiangtao , Chen Xue , Ye Fan , Liu Chuchu , Liang Jiahao , Zhang Xuejun , Guo Xiaoxia
Published: August 2024

Background:

Multidrug resistance (MDR) is a key challenge in clinical chemotherapy.
The combination of drugs can effectively reverse multi-drug resistance.

Objective:

In this study, doxorubicin (DOX) was capsulated into nanoparticles formed by an amphiphilic
PEGylated-poly (α-lipoic acid)-methanamide analogue of celastrol (mPEG-PαLA-CEN)
prodrug polymer. CEN was linked to the branched chain of poly (α-lipoic acid) by forming ester
bonds. DOX was physically trapped inside the nanoparticles via electrostatic interaction. Both
drugs can be simultaneously released in response to low pH and high GSH in order to overcome
DOX resistance.

Methods:

The chemical structure of the mPEG-PαLA-CEN-DOX NPs was confirmed through 1H
NMR, FT-IR spectroscopy, UV-Vis spectrum, DLS, and TEM. Drug-loading content, efficacy,
and drug release were measured using HPLC. Cell toxicity was examined using an MTT assay.

Results:

CEN/DOX-loaded nanoparticles were found to have spherical shapes with diameters of
around 229.7 nm. The NPs exhibited high biocompatibility and released 92% DOX and 71.8%
CEN in response to low pH and high GSH of tumor microenvironments. As dual drug-loaded
nanoparticles, the efficacy of mPEG-PαLA-CEN-DOX NPs against tumor cell lines in vitro was
enhanced for both MCF-7 and MCF-7/ADR compared to free DOX. Compared to free DOX, the
IC50 of mPEG-PαLA-CEN-DOX NPs reduced from 46.10 μM to 8.36 μM for the MCF-7/ADR
cell line.

Conclusion:

In conclusion, this study demonstrated that PEGylated poly (α-lipoic acid)-CEN
copolymers can be used not only as biocompatible, stimulation-responsive anticancer drug nanocarriers
but also as chemosensitizers to overcome multidrug resistance, which provide a theoretical
base for clinical application of CEN/DOX nanodrug.
Harnessing Natural Resources for Advancements in Dengue Virus Treatment
Authors: Amin Hapis Nur Aina Najiha , Rashid Nurshamimi Nor , Choo Yeun-Mun
Published: August 2024

:

Dengue fever, caused by the Dengue virus (DENV) and transmitted by Aedes aegypti
mosquitoes, has become endemic in over 100 countries. Despite considerable research, there is a
lack of specific drugs for clinical use against dengue. Hence, further exploration to identify antidengue
compounds is essential. In recent years, natural products have gained attention for their antiviral
properties. Plant-based medicines are particularly appealing due to their safety and low
toxicity. This review summarizes natural compounds with potential antiviral activity against
DENV, highlighting their mechanisms of action. Various compounds, from traditional herbal
remedies to novel plant isolates, show promise against dengue, targeting crucial viral proteins like
the envelope protein, proteases, and RNA polymerase. Exploring natural sources of antiviral
agents against dengue is crucial. These compounds offer hope for effective treatments and mitigating
dengue's global impact.
Simultaneous Qualitative and Quantitative Determination of 33 Compounds from Rubus Alceifolius Poir Leaves Using UHPLC-Q-Orbitrap-MS/MS
Analysis
Authors: Li Xican , Zeng Jingyuan , Li Chunhou , Chai Hanxiao , Chen Shaoman , Jin Nana , Chen Tingshan , Lin Xiaohua , Khan Sunbal , Cai Rongxin
Published: August 2024

Background:

Rubus alceifolius Poir leaves are a widely distributed medicinal plant material
in the Eastern Hemisphere. However, there has been no report regarding their chemistry until
now.

Methods:

Fresh R. alceifolius leaves were treated using a set of experimental protocols to prepare a
lyophilized aqueous extract. Subsequently, the extract was qualitative and quantitatively analyzed
using the database-affinity ultra-high-performance liquid chromatography-quadrupole-Exactive-
Orbitrap-tandem mass spectrometry (UHPLC-Q-Exactive-Orbitrap-MS/MS) technology.

Results:

Based on MS/MS elucidation and comparison with the database in UHPLC-Q-Exactive-
Orbitrap-MS/MS apparatus, 33 compounds were qualitatively identified. Especially, 12 isomers were
strictly distinguished, including apigenin vs. 2'-hydroxydaidzein, luteolin 7-O-glucuronide vs. scutellarin,
(+) catechin vs. (-) epicatechin, 3-O-caffeoylquinic acid vs. 4-O-caffeoylquinic acid vs. 5-Ocaffeoylquinic
acid, and 3,4-O-dicaffeoylquinic acid vs 3,5-O-dicaffeoylquinic acid vs 4,5-Odicaffeoylquinic
acid. In addition, 21 non-isomeric compounds, such as ellagic acid and gallic acid,
were also found under negative or positive ion models. The quantitative analysis suggested that ellagic
acid was found to be of the highest level (133.00 ± 3.50 μg/g), while (+)-4-cholesten-3-one was
calculated to be of the lowest level (0.035 ± 0.0050 μg/g).

Conclusion:

These findings will help to understand the substance basis of the traditional medicinal
functions of R. alceifolius leaves and to find their suitable quality markers.
Characterization of Antibiotic Actinomycin D Isolated from Streptomyces parvulus Collected from Marine Sponge of Barrang Lompo Island, Makassar, Indonesia
Authors: Rante Herlina , Alam Gemini , Bayu Murti Yosi , Ali Alimuddin
Published: August 2024

Background:

Microorganisms associated with sea sponges have proven to be good natural product resources that are biologically active and pharmaceutically important.

Objective:

This research aimed to identify actinomycetes related to a sponge from Bar-ranglompo Island Makassar and the antibacterial compounds.

Methods:

Identification of actinomycetes was based on molecular characterization of sequence gen16S rRNA. The antibacterial compound was separated using vacuum liquid chromatog-raphy and preparative Thin Layer Chromatography (TLC). The structure determination was done based on spectroscopy 1H-NMR, 13C-NMR, 2D NMR, and mass spectra.

Results:

Molecular characterization showed that actinomycetes strain BLP 20 had the closest relationship with Streptomyces parvulus and Uncultured Streptomyces sp. with a similarity value of 83%. The results obtained from the characterization of antibacterial compounds based on spectroscopic data indicate that these compounds lead to Actinomycin D.

Conclusion:

Characterization and identification of Strain 20 / BLP by molecular phylogenetic analysis of 16S rRNA sequences revealed the closest relationship with Uncultured Streptomy-ces sp and S. parvulus with a similarity value of 83 %, which indicated a new species. The structure of the active compound isolated from actinomycetes strain 20 / BLP leads to Actino-mycin D.
Blood Pressure Estimation from Wavelet Scalogram of PPG signals using Convolutional Neural Networks
Authors: Maharajan Ramakrishnan
Published: August 2024

Introduction

In this work, calibration-free blood pressure estimation using wavelet scalograms of PPG signals using Convolutional Neural Network (CNN) has been proposed. The PPG signal, easily obtained from a subject, serves as a reliable indicator for predicting blood pressure (BP).

Methods

The proposed methodology involves employing Continuous Wavelet Transform (CWT) scalograms of the PPG signal as inputs for the CNN. Two distinct architectures for BP estimation are explored: one employing regression with a fully connected neural network and another utilizing CNN with Support Vector Regression (SVR).

Results

The results demonstrate superior BP estimation with the CNN-SVR architecture. With the CNN-SVR model, the Systolic Blood Pressure (SBP) and Diastolic Blood Pressure (DBP) are estimated with a Root Mean Square Error (RMSE) of 6.7 mmHg and 8.9 mmHg, respectively.

Conclusion

The proposed CNN-SVR model gives 52% better estimation error performance in SBP estimation compared to a machine learning model reported in a previous work.
Left Ventricular Wall Motion as an Additional Valuable Parameter in Diabetic Patients with Normal Myocardial Perfusion Imaging
Authors: Davari Amirhesam , Jalali-zefrei Fatemeh , Gholami-chabok Bahareh , Tabaghi Shiva , Farzipour Soghra , Delpasand Kourosh , Mousavi Seyed Mehdi
Published: August 2024

Background:

Gated SPECT is an established technique for assessment of left ventricular
function in cardiovascular disease patients. However, there is little information about the influence
of diabetes mellitus on gated SPECT parameters. This study was established to assess gated
SPECT parameters in Diabetes Mellitus (DM) and non-diabetes mellitus (non-DM) patients with
normal Myocardial Perfusion Imaging (MPI).

Methods:

In this analytical cross-sectional study, 314 patients (157 DM, 157 non-DM) with normal
MPI were enrolled. Prevalence of risk factors for CAD like hypertension (HTN), and dyslipidemia
were found to be significantly higher (p <0.01) in DM patients compared to non-DM.

Results:

No statistically significant difference was observed among the TID, ESV, EDV, PFR,
TTPF, and Wall Thickness (WT) parameters between DM and non-DM patients. Wall motion
(Wm) in DM patients was significantly higher compared to non-DM patients. (3.9 ± 0.51 vs. 2.69
± 0.48 for DM and non-DM patients, respectively, p-value:0.01). Also, there was no significant
difference in Wm in the two groups with and without HTN. This shows the independent effect of
DM on the Wm.

Conclusion:

This study believes that the Wm parameter should be noted for the early diagnosis or
prevention of heart disease in DM patients. These findings can indicate the gradual changes in the
movements of the left ventricle and the beginning of the progression of diabetic cardiomyopathy.
Deciphering the Genetic Landscape: Exploring the Relationship Between HLA-DQA1, HLA-DQB1, and HLA-DRB1 Genes in Diabetes Mellitus
Authors: Singh Kuldeep , Gupta Jeetendra Kumar , Chanchal Dilip Kumar , Khan Shahbaz , Varma Arti , Shanno Kumari , Kumar Shivendra , Shamim
Published: August 2024

Diabetes mellitus (DM) is a complex and multifactorial metabolic disorder
with a significant genetic component. The human leukocyte antigen (HLA) genes, specifically
HLA-DQA1, HLA-DQB1, and HLA-DRB1, have been implicated in the susceptibility
and pathogenesis of DM. This review delves into the intricate interplay of these
HLA genes, seeking to unravel the genetic tapestry that contributes to the development
and progression of diabetes. We begin by providing an overview of the HLA system and
its critical role in immune regulation. Subsequently, we explore the current state of
knowledge regarding the association between HLA-DQA1, HLA-DQB1, and HLADRB1
polymorphisms and susceptibility to both type 1 and type 2 diabetes. Emphasis is
placed on recent advancements in genetic research methodologies, including genomewide
association studies and next-generation sequencing, that have provided deeper insights
into the genetic architecture of DM. The review also scrutinizes the functional implications
of specific HLA alleles in modulating immune responses and the potential
mechanisms by which they contribute to the autoimmune processes observed in type 1 diabetes.
Additionally, we examine the role of HLA genes in the context of insulin resistance
and beta-cell dysfunction in type 2 diabetes, shedding light on the shared and distinct
genetic underpinnings of these two major forms of DM. Furthermore, we discuss the
clinical implications of HLA genotyping in predicting disease risk, prognosis, and personalized
treatment strategies. The integration of genetic information into clinical practice
holds promise for precision medicine approaches in diabetes management.
Study on Fingerprint and Multiple Indicators for Quantitative Detection Method Development in Powdered Milk Thistle Extract
Authors: Lan Tao , Zhang Wenyu , Zhou Qi , Huang Jinli , Wu Qi , Yu Congcong , Luo Shihui , Zhao Xi , He Ruikun
Published: August 2024

Introduction:

Silymarins are the main active ingredient in milk thistle extract, reflecting
the quality of extract products. The detection methods for silymarins in different pharmacopoeia
standards may vary, which may lead to inconsistent detection results.

Method:

Due to the lack of research on related fingerprint spectra, its qualitative work is hard to
carry out. Hence, based on existing standard methods, an HPLC method was established by optimizing
the gradient program of the mobile phase.

Results:

The effectiveness of this method and the fingerprint was also studied. The similarity of 31
batches of samples ranged from 0.791 to 1.000, indicating the characteristic spectrum formed can be
well used for qualitative analysis.

Conclusion:

Under optimal analytical conditions, the six silymarin compounds in the samples can
achieve good baseline separation from the matrix with good resolution. At the same time, the LOD
was 25 mg/kg, and the recovery rates at three levels ranged from 92% to 108%, with RSDs less than
4%. The fingerprint spectrum and content determination method established in this study had good
repeatability and high accuracy, which can provide a new method for quality control of milk thistle
extract.
Reactive Intermediates
Authors: Bansal Anshul
Published: August 2024

This chapter explores the diverse and crucial world of reactive
intermediates, which play pivotal roles in the mechanisms and outcomes of organic
reactions. Beginning with an overview of reaction intermediates, we establish their
importance as transient species that facilitate the transformation of reactants to
products.
Carbocations, positively charged species with significant implications for reactivity
and stability, are examined in detail, highlighting their formation, stabilization factors,
and roles in various organic reactions. Carbanions, their negatively charged
counterparts, are discussed with a focus on their nucleophilic nature, stabilization
mechanisms, and involvement in organic synthesis. After that, the chapter delves into
carbenes, neutral species with a divalent carbon atom, emphasizing their unique
reactivity and applications in cyclopropanation and insertion reactions. Free radicals,
species with unpaired electrons, are analyzed for their formation, stability, and
participation in radical reactions, which are crucial in polymerization and
halogenation processes.The chapter continues with an examination of nitrenes, and nitrogen analogs of
carbenes, noting their reactivity and applications in aziridination and insertion
reactions. Arynes and benzynes, highly reactive intermediates derived from aromatic
compounds, are explored, focusing on their formation and role in nucleophilic
aromatic substitution reactions.Enamines, intermediates formed from aldehydes or ketones and secondary amines,
are discussed in the context of their stability and utility in organic synthesis,
particularly in the Stork enamine reaction. The concept of formal charge is introduced
to aid in understanding the electronic structure and reactivity of intermediates,
providing a foundational tool for predicting the behavior of these species.
Through a comprehensive analysis of these reactive intermediates, this chapter equips
readers with the knowledge to understand and predict the behavior of complex organic
reactions, laying the groundwork for advanced studies and practical applications in
organic chemistry.
ANALISIS INKLUSI KEUANGAN MELALUI ELEKTRONIK WARUNG GOTONG ROYONG (E-WARONG) PADA MASA PANDEMI
Authors: Hermeindito Andreas , Susilo
Published: August 2024

The low financial inclusion index in Indonesia compared to ASEAN countries needs to be improved through BSNT.This research aims to determine the understanding, experience, form of service and the tendency of non-cash transactions of BSNT recipients in Kediri City & Regency.This research uses a descriptive quantitative method with a percentage descriptive analysis technique. Data are obtained through interviews, documentation and observation. Respondents to the study were BSNT recipients and owners of E-Warong.Research sampling using purposive sampling. The results of this study show that most of the BSNT recipients understand and are ready to use cashless transaction services in BSNT distribution.However, BSNT recipients still do not optimize and do not know the type of electronic money service.Respondents who own E-warong provide various types of payments and financial service facilities.The trend of non-cash transactions has increased after being equipped with cashless payment facilities on E-Warong.Efforts to increase financial inclusion through E-Warong in BSNT distribution are able to bring BSNT recipients in Kediri City and Regency to get to know and use financial services
MACROECONOMIC STRESS TESTING PADA PROBABILITY OF DEFAULT PERBANKAN DI INDONESIA
Authors: Ramadhani Novilia , Maski Ghozali
Published: August 2024

The objective of this research is to identify and analyze the magnitude of probability of default in Indonesian banks in the period of 2007-2021 using macroeconomic stress testing based on the severely adverse scenario simulation coming from macroeconomic variable shocks. This quantitative deductive research use multiple linear regression. The independent variables are real GDP growth, inflation, interest rate, and world oil price, while the dependent variable is probability of default that is proxied by net NPL. The stress test used in this study includes sensitivity testing amd hypothetical scenario testing. Using Bank BRI, Bank Mandiri, and Bank BCA as the sample, this research produces different effects and magnitudes in the probability of default of BUKU IV banks, in which the said probability in the overall shows sensitive results in the event of macroeconomics variable shocks. In addition, the results of the study show that the real GDP variable and world oil prices have a negative and significant effect on the probability of default of Bank BRI, Bank Mandiri, and Bank BCA, then the exchange rate variable has a positive and significant effect on the probability of default of Bank BRI, Bank Mandiri. , and Bank BCA. While the inflation variable has a positive and insignificant effect on the probability of default of Bank BRI, Bank Mandiri, and Bank BCA. The last variable, namely interest rates, has a positive and insignificant effect on Bank BRI and Bank BCA, but has a significant effect on Bank Mandiri.
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI GEN-Z DALAM PENGGUNAAN QUICK RESPONSE CODE INDONESIAN STANDARD (QRIS) SEBAGAI TEKNOLOGI PEMBAYARAN DIGITAL
Authors: Adinda Meitry
Published: August 2024

In the midst of increasing growth in financial technology companies that act as Payment System Service Providers (PJSP) in Indonesia continue to innovate, the presence of the Quick Response Code Indonesian Standard (QRIS) acts as a solution to perfect innovation in the payment system offered by the fintech company. One of the user groups who are the main targets are Generation Z or Gen-Z because they have characteristics that are more active and literate with technological developments, and tend to be consumptive. So, this research aims to analyze the effects of Financial Literacy, Perceived Usefulness, Perceived Ease of Use, and Promotion and Advertising on Gen-Z's decision to use QRIS. This type of research is a quantitative research using Structural Equation Modeling (SEM) based on Partial Least Square (PLS) data analysis. The data were obtained by distributing questionnaires to 250 respondents born in 1997-2004 who were students at the university in Malang Region. The results indicate that Financial Literacy, Perceived Usefulness, Perceived Ease of Use, and Promotion and Advertising significantly on Gen-Z's decision to use QRIS.
PENGARUH SUKU BUNGA, KURS, INFLASI, VOLUME TRANSAKSI, DAN PELANGGAN TERHADAP HARGA SAHAM
Authors: Erna Hendriyanti Sa'adah  , Setiawan Putu Mahardika Adi
Published: August 2024

The Covid-19 pandemic has made many changes, especially in the world's economy and stock market conditions. So this study is intended to examine whether or not the influence of interest rates, exchange rates, inflation, transaction volume, and the number of customers on stock prices in operator companies in six countries with the most internet users in the world during pandemic. This research is quantitative research with a linear regression method which data collection is obtained through several pages needed in research. The collected data were then processed and tested through classical assumption tests (normality test, multicollinearity test, heteroscedasticity test, autocorrelation test) and hypothesis testing with linear regression analysis and coefficient of determination. The test in this research uses an econometric application program, E-views version 10. The results of this research showed that the exchange rate (X2) and transaction volume (X4) have no effect on stock prices (Y), and the interest rate variable (X1) has a negative effect and significant to the stock price (Y), while the inflation variable (X3) and the number of customers partially have a positive and significant effect on stock prices (Y). Simultaneously, the variable interest rate (X1), exchange rate (X2), inflation (X3), transaction volume (X4), and the number of customers (X5) affect stock prices (Y) by 97%, while the remaining 3% is affected by other variables outside the model adopted in this research.
PENGARUH INFLASI, NILAI TUKAR, VOLUME PERDAGANGAN, DAN ORDER IMBALANCE TERHADAP VOLATILITAS HARGA SAHAM PADA PERUSAHAAN SEKTOR KESEHATAN YANG TERDAFTAR DALAM BEI TAHUN 2021
Authors: Faustine Illona Selly , Ananda Candra Fajri
Published: August 2024

The health sector during Covid-19 contributed positively to Indonesia's economic growth rate, besides that the health sector also scored a fairly large increase in profits ranging from 13% - 60%. This positive news aroused the interest of investors in the health sector which eventually caused stock price movements in health sector companies to widen. This movement can be influenced by macro factors such as inflation and the rupiah exchange rate, as well as micro factors such as trade volume and order imbalance. The purpose of this study is to find out how the effect of inflation, rupiah exchange rate, trading volume, and order imbalance on the volatility of stock prices of health sector companies listed on the IDX in 2021. The data used in this study is secondary data with panel data regression research methods, which choose a best model first between CEM, REM, and FEM, then running the classical assumption test, after the problem of classical assumption are clear, next running out the hypothesis test. All of these methods use Eviews 12 for students. From the results of the analysis, it was found that Inflation has a negative effect on stock price volatility, the Rupiah Exchange Rate and Trading Volume have a positive influence on stock price volatility, and Order Imbalance does not have a significant effect on stock price volatility in health sector companies listed on the IDX in 2021. The conclusion of this study is that as an investor, especially a short-term investor, you can see the effect of inflation, the rupiah exchange rate, and trading volume to pay attention to stock price movements and can use the volatility of the company's stock price to calculate future profits.
DAMPAK PERPANJANGAN RELAKSASI KREDIT TERHADAP LIKUIDITAS PERBANKAN SAAT PANDEMI COVID-19
Authors: Daffa At Thariq  , Pangestuty Farah Wulandari
Published: August 2024

This research aims to analyze and compare liquidity in banks before the policy of extending credit relaxation and after the extension of credit relaxation during the pandemic in Indonesia. The ratio used as data is the current ratio from 2020 to 2021 to see how the state of banking liquidity is during the COVID-19 pandemic. The research sample used is several bank financial statements classified as BUKU 2, 3, and 4 banks in 2020 and 2021. The data analysis technique used in this study is the Paired Samples T Test because the data is normally distributed. The results showed that there was no significant difference in the liquidity of BUKU 2, 3, and 4 banks during the pandemic between before the extension of credit relaxation and after the extension of credit relaxation.
PERBANDINGAN PENGUKURAN STRUKTUR PERSAINGAN HERFINDAHL-HIRSCHMAN INDEX DAN CONCENTRATION RATIO INDUSTRI PERBANKAN INDONESIA
Authors: Khansa Ken Ayu , Shofwan
Published: August 2024

This study aims to determine, measure and analyze and compare the structure of banking competition in Indonesia.This study used a sample of 9 banks, each consisting of 4 State-Owned Commercial Banks (BUMN) and 5 National Private Commercial Banks (BUSN) with market share gains based on the largest Third Party Funds in Indonesia. The data analysis method used is concentration ratio analysis using Herfidahl-Hirschman Index (HHI) and Concentration Ratio (CR). The results of the analysis show that there is a difference in results between the ratio of HHI and CR, the HHI ratio shows that the Indonesian banking market is in a monopolistic competition market, while based on the CR ratio, Indonesian banks are in a perfectly competitive market, further analysis shows an increasing level of market concentration and the suitability of the Indonesian banking market with characteristics in the monopolistic market.In addition, based on each group of banks, the group of state-owned banks is in the market of loose oligopoly competition / monopolistic competition, in the Group of National Private Commercial Banks is in the structure of effective / monopolistic competition, while in the group of banks that are classified as large (BUKU IV) it is in the structure of loose oligopoly competition or monopolistic competition.
ANALISIS FAKTOR – FAKTOR YANG MEMPENGARUHI PENGANGGURAN TERDIDIK LULUSAN PERGURUAN TINGGI JAWA TIMUR
Authors: Faramadina Dinda amalia , Fadjar Nurman Setiawan
Published: August 2024

One of the characteristics of unemployment in Indonesia is the large number of unemployed with a higher education background which is called educated unemployment. There was an increase in educated unemployment in Indonesia and East Java Province during 2018 – 2020. This study aims to analyze the factors of educated unemployment for East Java university graduates. With primary data and binary logit regression model to determine the effect of age, gender, level of education, reservation wage, and work skills on unemployed educated East Java university graduates. Which causes age to have a negative effect on educated unemployment, while wages have a positive effect on educated unemployment. In addition, two factors of job skills, career development learning and problem solving skills have a negative influence on educated unemployment. The results of the study indicate that unemployed youth are men and women with college education, and expect high levels of wages.
PENGARUH STRUKTUR KEPEMILIKAN SAHAM, CSR, INFLASI DAN SDM TERHADAP KINERJA KEUANGAN PERBANKAN
Authors: Sari Indah Purnama , Susilo
Published: August 2024

The banking industry is currently facing intense competition. Therefore, banking companies need to pay attention to their financial performance for the survival of the company. This study aims to determine the effect of share ownership structure, corporate social responsibility, human resources and inflation on banking financial performance (a study at commercial banks listed on the IDX. The data used in this research is secondary data. This research includes population research, because all samples used met the criteria used.The samples used were 41 commercial bank companies.The data analysis used was multiple linear regression analysis.Based on the results of the research conducted, the results obtained were that both in 2018 and 2021 partially the share ownership structure has no effect on banking financial performance.Corporate social responsibility, inflation and human resources, partially have an influence on financial performance.Simultaneously, the structure of share ownership, corporate social responsibility, inflation and human resources have an influence on financial performance.In In 2018 and 2021, human resources are the most dominant variable affecting financial performance.
ANALISIS PENGARUH FAKTOR EKSTERNAL DAN FAKTOR INTERNAL BANK TERHADAP NON PERFORMING FINANCING
Authors: Salsabilla Annisa , Devia SS Vietha
Published: August 2024

Non Performing Financing (NPF) is a ratio that shows the amount of financing problem on Islamic Bank. And increase in the NPF ratio of Islamic Bank will cause the bank’s health level and liquidity to decrease. This study aims to find out how external factors such as inflation and GDP, as well as bank internal factors such as Capital Adequacy Ratio (CAR), Financing to Deposit Ratio (FDR), Operational Efficiency Ratio (BOPO), and Third Party Funds can affect changes in the ratio NPF. Islamic Bank can use this information as a reference for making regulations in anticipating an increase in the NPF ratio. This research focuses on Bank Muamalat Indonesia using the 2011-2020 quarter time period. This study uses a quantitative approach by conducting time series regression analysis to see the simultaneous and partial effects of the independent variables on the dependent variable. The results of this study indicate that inflation, GDP, CAR, FDR, BOPO, and Third Party Funds simultaneously have a significant effect on Bank Muamalat's NPF. Partially, inflation and BOPO have a significant positive effect, GDP and Third Party Funds have a significant negative effect, while CAR and FDR have no effect on Bank Muamalat's NPF
ANALISIS PENGARUH LAYANAN I-BANKING, M-BANKING, DAN FASILITAS ATM TERHADAP KEPUASAN NASABAH (STUDI KASUS NASABAH BANK BTN KCP TULUNGAGUNG)
Authors: Eryaningtyas Nadia Salsabela , Fitanto Bahtiar
Published: August 2024

The pattern of human’s behavior in using electronic services to acquire various kinds of information is affected by the rapid technological advancement. This is beneficial for, particularly banking, industries, as evidenced by the fact that banks nowadays come up with cutting-edge services such as internet banking and mobile banking. The sample of this quantitative descriptive research was selected using non-probability sampling, while the data was examined using factor analysis in SPSS version 15.0 of 2023. The result of the F test (simultaneous) is 56.554, which is greater than the F table of 2.699, and therefore H0 is rejected, and H1 is accepted. As the significance value of 0.000 is smaller than 0.05, internet banking, mobile banking, and ATM facilities simultaneously have a significant effect on the satisfaction of customers at the sub-branch office of Bank BTN in Tulungagung. Despite the positive and significant effect of the three variables, mobile banking is more preferable for some customer groups. In addition to its practicality, the service is helpful when they are in a difficult condition. In the future, the bank will develop a service where facilities in the internet banking will be integrated into its mobile banking application for greater customer benefit and ease
DAMPAK INKLUSI KEUANGAN TERHADAP RISIKO KREDIT PADA PERBANKAN DIGITAL DI INDONESIA PERIODE TAHUN 2015-2021
Authors: Badrani Donny Syah , Pangestuty Farah Wulandari
Published: August 2024

One of the most significant risks for banks, including digital banks, is credit risk. Bank credit risk can be influenced by a number of things, one of which is increasing financial inclusion. Then there is the prime lending rate which is used as a variable control in this study. The purpose of this study is to identify and analyze the impact of financial inclusion on credit risk in Indonesian digital banks. This study employs panel data from four Indonesian digital banks from 2015 to 2021. Panel data regression is the regression model that was used, and the hypothesis was tested with the t test, the F test, and the coefficient of determination. Financial inclusion has a positive and insignificant effect on digital bank credit risk in Indonesia on the accessibility dimension, a negative and significant effect on the usage dimension, and for prime lending rates it has a positive and insignificant effect on digital bank credit risk in Indonesia. This indicates that digital banks in Indonesia can reduce their credit risk by utilizing financial services. So that increasing financial inclusion through the use of financial services must be further improved while still paying attention to the prudence principle.
DETERMINAN CAPITAL BUFFER: KAJIAN EMPIRIK INDUSTRI PERBANKAN DI INDONESIA
Authors: Estika Winda Febi , Wahyudi Setyo Tri
Published: August 2024

A high capital buffer can increase stakeholder confidence in the sustainability and stability of the bank, but causes the bank to lose the opportunity to maximize profits from business operations that should be carried out using a capital buffer. On the other hand, a low capital buffer can reduce stakeholder confidence in banks, because banks are considered to have a high risk if the economy contracts in the future. The purpose of this research is to identify and analyze the effect of bank size, liquidity risk, credit risk, operational risk, and profitability on capital buffer in KBMI 3 and 4 bank categories during 2018-2022. Using panel data regression, this study finds that partially the variables SIZE, LDR, BOPO, and ROE had a negative and significant effect on the Capital Buffer. Meanwhile, NPL has no significant effect on the Capital Buffer.
ANALISIS DAMPAK DIGITALISASI SISTEM KEUANGAN INDONESIA TERHADAP PERMINTAAN UANG KARTAL
Authors: Virnanda Yohana , Suman Agus
Published: August 2024

The growth of technology that has an impact on the financial world causes people's responses to change so, research about the effect of digitization of the Indonesian financial system on the demand for cash with a research period from 2018 to 2022 using the Autoregressive Distributed Lag (ARDL) method by secondary data is carried out. The results showed that in the short term, the previous period of cash, credit cards, electronic money in 2022 and 2020 also inflation negatively affected the demand for cash. While in the long run, only the transaction value of ATM/Debit cards and credit cards have a negative effect on changes in Y. Increased use of non-cash payment instruments that are able to reduce the composition of cash for daily transactions must be accompanied by improved payment system policies, the legalization of digital rupiah and support for improving public financial literacy.
DETERMINASI PROFITABILITAS DI PT INKA (PERSERO) SEBELUM DAN SELAMA PANDEMI COVID-19
Authors: Serdiliyani Rochmanida Hana , Fadli Faishal
Published: August 2024

This research was conducted to determine the effect of capital structure (DAR), leverage (DER), liquidity (CR), and research time dummy (Dwp) on the profitability (ROA) of PT INKA (Persero) quarterly in 2013 – 2021 with inflation (TI) as control variable. The purposive sampling method used is as many as 36 data which have been processed using the interpolation method. The data analysis technique uses multiple linear regression with a second difference. The results obtained from this study are (1) DAR has no significant effect on ROA, (2) DER has no significant effect on ROA, (3) CR has a positive and significant effect on ROA, (4) Dwp has a positive and significant effect on ROA, (5) Simultaneously DAR, DER, CR, and Dwp with TI as the control variable have a significant effect on ROA.
PENGARUH PERFORMA LAPORAN KEUANGAN DAN MAKROEKONOMI TERHADAP HARGA SAHAM PERUSAHAAN TEKNOLOGI
Authors: Ravaes Maulana Wafi , Silvi Asna Prestianawati
Published: August 2024

Stock price is one of the benchmarks of company performance, including technology companies. Various macro and micro factors can affect the stock price of technology companies, some of these factors are profitability, liquidity, solvency, inflation, and exchange rates. This study seeks to determine and analyse the effect of financial statement performance and macroeconomics on the stock prices of technology companies in Indonesia. This study uses panel data with 9 technology companies in Indonesia included in the IDXTECHNO industry classification during 2019-2021. The regression model used is panel data regression with hypothesis testing using t test, F test and coefficient of determination. The results showed that the performance of financial statements in the profitability dimension had a positive and significant effect, the liquidity dimension had a negative and insignificant effect, the solvency dimension had a positive and insignificant effect. and for macroeconomics in the exchange rate dimension had a negative and significant effect, the inflation dimension had a negative and insignificant effect. This indicates that the use of profitability and exchange rates can increase the share price of technology companies in Indonesia. Therefore, improving the performance of financial statements and economic stability should be further enhanced.
PENGARUH GREEN BANKING TERHADAP KINERJA KEUANGAN PERBANKAN DI INDONESIA (PERIODE TAHUN 2018-2022)
Authors: Mahardika Putu Arya Diva , Fitanto Bahtiar
Published: August 2024

Environmental problems include climate change, and an increase in the frequency of natural disasters have become widespread phenomena. These harmful trends have been aided by the absence of environmental considerations in banking operations. The idea of "Green Banking" aims to lower carbon emissions both inside and outside of banks. This research aims to analyze the impact of implementing Green Banking on the profitability of banks listed on the Indonesia Stock Exchange during the period 2018-2022. Green Banking is measured using the Green Banking Disclosure Index (GBDI), along with M-Banking Transaction Frequency, Bank Efficiency, and CSR Funds as independent variables. Profitability is projected through the Return on Assets (ROA) as the dependent variable. This research found that partially, CSR funds have a positive and significant influence on ROA (Return on Assets). However, factors like GBDI, M-Banking transaction frequency, and bank efficiency have a negative and significant influence on ROA. Tested simultaneously, the implementation of green banking, including GBDI, M-Banking transaction frequency, bank efficiency, and CSR funds, has a positive and significant effect on profitability.
ANALISIS PENGARUH DIGITAL BANKING TERHADAP PROFITABILITAS BANK
Authors: Haryono Jesselyn julia , Widiyanti Dwi Retno
Published: August 2024

The objective of this research is to identify the effects of digital banking on the profitability of banks by examining 71 Indonesian commercial banks that have published their Q1 financial statements during the 2019-2023 period. The profitability was measured using ROA (Return on Assets). The factors believed to affect the commercial banks’ profitability that are incorporated in this study are digital banking index, bank size, bank age and NPL. The digital banking index was acquired by measuring eleven facilities of digital banking. Using panel data regression, this study finds that digital banking index negatively and significantly influences the banks’ ROA, that bank size positively and significantly affects the banks’ROA, and that bank size and NPL do not have any impact on the banks’ ROA.
ANALISIS STRATEGI PENGEMBANGAN BISNIS PADA UMKM MENGGUNAKAN PENDEKATAN ANALISIS SWOT DAN QSPM MATRIKS
Authors: Moko Wahdiyat , Dhara Dyah Wulandari
Published: August 2024

The rapid growth of fashion has led to intense business competition in the fashion industry in Indonesia. The existence of intense competition with competitors requires business owners in the fashion industry to always pay attention to the needs and desires of consumers and understand their business to achieve competitive advantage in the midst of intense competition in the fashion business. The objective of this qualitative descriptive research is to identify the correct business development strategies for Cloura, an MSME engaged in fashion industry. Business competition in Indonesian fashion industry is one of the toughest competitions in the country. In order to win the competition and to gain competitive advantage, Cloura needs to have the appropriate business development strategies, which can be determined through analyses on IFE Matrix, EFE Matrix, SWOT, and QSPM Matrix. This study finds that the QSPM Matrix suggested final business development strategy, that is increasing market share for the existing products by conducting more intensive marketing campaigns.
PENGARUH BRAND AWARENESS, BRAND AMBASSADOR, DAN WORD OF MOUTH TERHADAP KEPUTUSAN PEMBELIAN
Authors: Fitriana Siti Afin Nur , Nugroho Dian Ari
Published: August 2024

Online media is the choice as a means of promotion considering the number of internet users is increasing all the time. Business people have to think about how to survive and continue to grow in the midst of crowded competitors. This study aims to determine the effect of brand awareness, brand ambassador and word of mouth on purchasing decisions. This type of research uses survey research to determine the effect of the variables in this study. The population used in this study were Renkli.co consumers. The sampling technique in this research is the saturated sample, namely the number of samples is the same as the total population of 110 respondents. Sampling data obtained through questionnaires were processed using multiple linear regression analysis with the help of SPSS version 25 software. The results of this study indicate that brand awareness have a positive and significant effect on purchasing decisions. Brand ambassadors have a positive and significant effect on purchasing decisions. Word of mouth have a positive and significant effect on purchasing decisions.