bluuebunny/crossref_metadata_2025_split huggingface dataset:
Distribution and Factors Affecting Investment in Yogyakarta Special Region
Authors: Khosiyatillah Umi 
Published: July 2023

This study aims to determine the distribution of investment for each PMA and PMDN in DIY in 2019, classify regions based on investment for PMA and PMDN, and determine the factors that affect investment PMA and PMDN in DIY. This study uses secondary data. The variables used in this research are PMA and PMDN investment, labor force, Human Development Index (IPM), Regional Minimum Wages (UMR), and Local Taxes. This study's population and sample were 5 districts/cities for the PMA and PMDN investment models. Descriptive analysis is using to determine the distribution of investment, Klassen typology to classify areas based on investment, and choose the factors that affect investment using the panel data method. The results showed that: (1) The distribution of PMA and PMDN investment in DIY was still not evenly distributed. (2) The regional classification based on investment shows that Kulonprogo, Bantul, and Gunungkidul districts lack foreign investment. Meanwhile, the districts of Sleman, Bantul, and Gunungkidul lack domestic investment. (3) Factors that influence PMA are UMR and IPM, and factor that influence PMDN are labor force.

Tujuan dari penelitian ini adalah untuk mengetahui sebaran investasi untuk masing-masing investasi PMA dan PMDN di DIY tahun 2019, mengklasifikasikan daerah berdasarkan investasi untuk masing-masing investasi PMA dan PMDN, dan mengetahui faktor-faktor yang mempengaruhi investasi untuk masing-masing investasi PMA dan PMDN di DIY. Penelitian ini menggunakan data sekunder. Variabel yang digunakan dalam penelitian ini adalah Investasi PMA dan investasi PMDN, Angkatan kerja, Indeks Pembangunan Manusia (IPM), Upah Minimum Regional (UMR), dan Pajak Daerah. Populasi dan sampel dalam penelitian ini adalah 5 kabupaten/kota untuk model investasi PMA dan PMDN. Hasil penelitian menunjukkan bahwa: (1) Sebaran investasi PMA dan PMDN di DIY masih belum merata. (2) Klasifikasi daerah berdasarkan investasi menunjukkan Kabupaten Kulonprogo, Bantul, dan Gunungkidul kekurangan investasi PMA. Sedangkan Kabupaten Sleman, Bantul, dan Gunungkidul kekurangan investasi PMDN. (3) Faktor yang mempengaruhi investasi PMA yaitu UMR (Upah Minimum Regional) dan IPM (Indeks Pembangunan Manusia) dan faktor yang mempengaruhi investasi PMDN yaitu Angkatan kerja.
Taxpayers Compliance Determinants Using Fischer Model
Authors: Habib Muamar Lutfil , Rahman Yozi Aulia 
Published: July 2023

This study aimed to analyze factors influencing person's taxpayer compliance in paying Granting Income tax (PPh 21) in Semarang City. It was in form of a descriptive quantitative approach. The type of data used in this study was primary data collected using survey method. 9 independent variables and one dependent variable were involved in this investigation and further analyzed using multiple regression analysis using SPSS 25. It was found that gender influenced taxpayer compliance, while each of the gender had no significant difference. The level of education had a positive effect on taxpayer compliance, the effectiveness of the taxation systems had no effect, the possibility of detection and penalties had a negative and significant effect on taxpayer compliance, tax rates did not have a significant effect on taxpayer compliance, tax system justice had no significant effect significant on taxpayer compliance, social environment had a positive and significant impact on taxpayer compliance, and opportunities for non-compliance had a negative and significant impact on taxpayer compliance. The last, income levels had a positive and significant impact on taxpayer compliance.
Penelitian ini bertujuan untuk menganalisis faktor-faktor yang mempengaruhi kepatuhan wajib pajak seseorang dalam membayarkan wajib pajak PPh 21 yang ada di Kota Semarang. Jenis penelitian ini menggunakan pendekatan kuantitatif deskriptif. Jenis data yang digunakan dalam penelitian ini adalah data primer. metode pengumpulan data yang digunakan pada penelitian ini adalah metode survei. Variabel yang dipakai pada penelitian ini berjumlah 9 variabel independen dan 1 variabel dependen. Metode analisis data yang digunakan adalah analisis regresi berganda dengan menggunakan SPSS 25. Hasil penelitian ini menunjukkan bahwa gender memiliki pengaruh terhadap kepatuhan wajib pajak, wajib pajak laki-laki dan peremuan tidak menunujukan adanya perbedaan yang signifikan. Tingkat pendidikan, berpengaruh positif terhadap kepatuhan wajib pajak, Efektivitas sistem perpajakan tidak memiliki pengaruh, kemungkinan deteksi dan pinalti memiliki pengaruh negatif dan signifikan terhadap kepatuhan wajib pajak, tarif pajak tidak memiliki pengaruh yang signifikan terhadap kepatuhan wajib pajak, Keadilan sistem perpajakan tidak memiliki pengaruh yang signifikan terhadap kepatuhan wajib pajak, Lingkungan sosial memiliki pengaruh positif dan signifikan terhadap kepatuhan wajib pajak, Peluang untuk tidak patuh memiliki pengaruh negatif dan signifikan terhadap kepatuhan wajib pajak, dan Tingkat pendapatan memiliki pengaruh positif dan signifikan terhadap kepatuhan wajib pajak.
The US-China Trade War and Factors Affecting Indonesian Exports
Authors: Maghfiroh Lailatul 
Published: July 2023

This study aimed to determine the short and long-term effects of trade wars, consumer price index (CPI), interest rates, money supply, and the exchange rate on exports. This study belonged to quantitative research. It used an Error Correction Model (ECM) analysis with secondary data. The results of the analysis showed that consumer price index (CPI) in the short and long-term had a negative and significant effect on exports, while the money supply, the trade war between United Stated and China had significant positive effects on exports in the long run, but no effect on the short-term. Money supply had a significant positive effect on exports in the long run, while in the short-term there was no significant effect on exports. The last, interest rates had a negative and significant effect on exports in the long run, while the short-term did not.
Penelitian ini bertujuan untuk mengetahui pengaruh jangka pendek dan jangka panjang perang dagang, indeks harga konsumen (IHK), suku bunga, jumlah uang beredar (JUB), nilai tukar terhadap ekspor. Data yang digunakan dalam penelitian ini adalah data sekunder, dan menggunakan jenis penelitian kuantitatif. Penelitian ini menggunakan alat analisis Error Correction Model (ECM). Hasil analisis menunjukkan bahwa indeks harga konsumen (IHK) dalam jangka pendek dan jangka panjang berpengaruh negatif dan signifikan terhadap ekspor, sedangkan jumlah uang beredar (JUB), perang dagang antara Amerika Serikat dan China berpengaruh signifikan. berpengaruh positif terhadap ekspor dalam jangka panjang sedangkan dalam jangka pendek tidak berpengaruh terhadap ekspor. Jumlah uang beredar (JUB) berpengaruh positif signifikan terhadap ekspor dalam jangka panjang sedangkan jangka pendek tidak berpengaruh signifikan terhadap ekspor, suku bunga berpengaruh negatif dan signifikan terhadap ekspor dalam jangka panjang sedangkan jangka pendek tidak berpengaruh signifikan terhadap ekspor.
The Effect of Education Variable on the Open Unemployment Rate
Authors: Rahmawati Anik , Putri Phany Ineke 
Published: July 2023

This study aimed to determine and analyze the effect of literacy rate, government expenditure on education, Gross Enrollment Rate of Senior High School/equivalent, and the proportion of Senior High School workforce and above on Open Unemployment Rate. The type of data used was secondary data. In form of panel data (pooled data) which is a combination of cross section data from eight regencies/cities in Banten Province and time series data from 2010-2019. The analysis method used was panel data regression analysis. The best model chosen was the Fixed Effect Model (FEM). The results showed that the variable literacy rate did not have any significant and negative effect on TPT. The variable government expenditure on education had a significant and negative effect on TPT. The variable Gross Enrollment Rate of Senior High School/Equivalent had a significant and negative effect on TPT. The variable proportion of Senior High School workforce and above had a significant and negative effect on TPT
Penelitian ini bertujuan untuk mengetahui dan menganalisis pengaruh angka melek huruf, pengeluaran pemerintah bidang pendidikan, Angka Partisipasi Kasar SMA/Sederajat, dan proporsi angkatan kerja SMA ke atas terhadap Tingkat Pengangguran Terbuka (TPT). Jenis data yang digunakan adalah data sekunder. Tipe data yang digunakan adalah data panel (pooled data), yang merupakan kombinasi data cross section delapan kabupaten/kota di Provinsi Banten dan data time series tahun 2010-2019. Metode analisis yang digunakan adalah analisis regresi data panel. Model terbaik yang terpilih adalah Fixed Effect Model (FEM). Hasil penelitian menunjukkan bahwa variabel angka melek huruf tidak berpengaruh signifikan dan negatif terhadap TPT. Variabel pengeluaran pemerintah bidang pendidikan berpengaruh signifikan dan negatif terhadap TPT. Variabel Angka Partisipasi Kasar SMA/Sederajat berpengaruh signifikan dan negatif terhadap TPT. Variabel proporsi angkatan kerja SMA ke atas berpengaruh signifikan dan negatif terhadap TPT.
The Performance of Regional Development Banks during Covid-19 Pandemic
Authors: Krisetiawati Ignasia Sukma 
Published: July 2023

This study aims to determine and analyze the performance of BPD during the 2020 Covid-19 pandemic in Indonesia. The variables used are return on assets, operating expenses and operating income, gross non-performing loans, net interest margin, and loan to deposit ratio. The method used in this research is panel data regression analysis using E-Views 9.0 software. The data used is panel data consisting of cross data of 27 Regional Development Banks in Indonesia and time series data from the I-IV quarter of 2020. The results show that during the Covid-19 pandemic in 2020 BOPO has a significant negative effect on ROA, NPL Gross. has no effect on ROA, NIM and LDR has a significant positive effect on ROA.

Penelitian ini bertujuan untuk mengetahui dan menganalisis kinerja BPD selama pandemi Covid-19 tahun 2020 di Indonesia. Variabel yang digunakan yaitu return on assets, beban operasional dan pendapatan operasional, non performing loan gross, net interest margin, dan loan to deposit ratio. Metode yang digunakan dalam penelitian adalah analisis regresi data panel menggunakan software E-Views 9.0. Data yang digunakan adalah data panel yang terdiri dari data silang sebanyak 27 Bank Pembangunan Daerah di Indonesia dan data runtut waktu dari kuartal I-IV tahun 2020. Hasil penelitian menunjukkan bahwa selama pandemi Covid-19 tahun 2020 BOPO berpengaruh negatif signifikan terhadap ROA, NPL Gross tidak berpengaruh terhadap ROA, NIM dan LDR berpengaruh positif signifikan terhadap ROA.
Determinant of Indonesia Composite Index During Covid-19 Pandemic
Authors: Hidayati Eni Nur , Karsinah Karsinah 
Published: July 2023

This study aims to determine and analyze the influence in the long run and short run interest rates, IDR exchange rates, inflation and oil prices on ICI on the Indonesia Stock Exchange during the Covid-19 pandemic. The analysis method used is with Error Correction Models (ECM) analysis. The data used in the study is time series data that is compiled periodically on a weekly basis from January 2019 to April 2021. The results showed that interest rates have a significant effect in the long run and have no significant effect in the short run, the IDR exchange rate and world oil prices have a significant effect in the long and short run, while inflation has no significant effect in the long run and short run on ICI.

Penelitian ini bertujuan untuk mengetahui dan menganalisis pengaruh dalam jangka panjang dan jangka pendek suku bunga, kurs IDR, inflasi dan harga minyak duni terhadap IHSG di Bursa Efek Indonesia pada saat pandemi Covid-19. Metode analisis yang digunakan yaitu dengan analisis Error Correction Models (ECM). Data yang dipakai dalam penelitian adalah data time series yaitu data yang disusun berkala secara mingguan dari Januari 2019 sampai dengan April 2021 secara runtun waktu. Hasil penelitian menunjukkan, suku bunga berpengaruh signifikan dalam jangka panjang dan tidak berpengaruh signifkan dalam jangka pendek, kurs IDR dan harga minyak dunia berpengaruh signifikan dalam jangka panjang dan jangka pendek, sedangkan inflasi tidak berpengaruh signifikan dalam jangka panjang dan jangka pendek terhadap IHSG.
Determinant of HDI in Yogyakarta Special Region Province
Authors: Annisa Rizki 
Published: July 2023

Yogyakarta Special Region (DIY) occupies the second position of high categorical HDI in Indonesia. The UMP, which is the benchmark for the number of wages given to workers, has the lowest amount in Indonesia. Several other factors that were thought to have influenced the high in HDI were inflation, GRDP, and LFPR. This study aims to determine and analyze the factors that influence HDI in DIY. The type of data used in this study is secondary data. The data used are sourced from BPS, Indonesian Statistics Report, Yogyakarta Labour Affair Office and GlobalDataLab. The research method used is multiple regression analysis time series for the period 1990-2019 DIY. The variables used in this study are HDI, Inflation, GRDP, UMP, and LFPR. The results showed that inflation has a negative and not significant effect on HDI. GDRP, UM,P and LFPR have a positive and significant effect on HDI.
Daerah Istimewa Yogyakarta (DIY) menempati posisi IPM tinggi kedua di Indonesia. UMP yang menjadi tolak ukur besarnya upah yang diberikan kepada pekerja memiliki besaran paling rendah di Indonesia. Beberapa faktor lain yang diduga mempengaruhi tingginya IPM adalah inflasi, PDRB dan TPAK. Penelitian ini bertujuan untuk mengetahui dan menganalisis faktor-faktor yang mempengaruhi IPM di DIY. Jenis data yang digunakan bersumber dari BPS, Laporan Statistik Indonesia, Dinas Tenaga Kerja DIY dan GlobalDataLab. Metode penelitian yang digunakan adalah analisis regresi berganda time series periode 1990-2019 DIY. Variabel yang digunakan dalam penelitian ini adalah IPM, Inflasi, PDRB< UMP dan TPAK. Hasil penelitian menunjukkan bahwa inflasi berpengaruh negatif dan tidak signifikan terhadap IPM. PDRB, UMP dan TPAK berpengaruh positif dan signifikan terhadap IPM.
Deprivation of Multidimensional Poverty in Pekalongan City
Authors: Muthia Azka , Barikha Ayu Lailatul 
Published: July 2023

Poverty is a challenge in development that needs to be solved by each region. However, the calculation of poverty is still oriented to a one-dimensional approach, namely the monetary approach, even though the problem of poverty is multidimensional. Multidimensional poverty includes various deprivations experienced by poor people in their daily lives. This study aims to determine the condition of poverty in a multidimensional manner and the main deprivation of poverty in Pekalongan City. This study uses data from the 2019-2021 National Socio-Economic Survey (Susenas) and the Alkire-Foster multidimensional poverty measurement method, as well as 12 indicators in 3 dimensions (education, health, and living standards). The results show that multidimensional poverty for 3 years in Pekalongan City is always higher than the poverty measurement carried out by BPS. This study also found the priority scale of poverty alleviation assistance needed in Pekalongan City based on its main deprivation, namely the assistance program to overcome the years of schooling in the education dimension, nutritional adequacy in the health dimension and asset ownership in the standard of living dimension.
Kemiskinan merupakan tantangan pembangunan yang perlu diselesaikan oleh setiap daerah. Namun penghitungan kemiskinan sampai saat ini masih berorientasi pada pendekatan satu dimensi yaitu pendekatan moneter padahal permasalahan kemiskinan bersifat multidimensi. Kemiskinan multidimensi mencakup berbagai deprivasi (kekurangan) yang dialami oleh orang miskin dalam kehidupan sehari-hari mereka. Penelitian ini bertujuan untuk mengetahui kondisi kemiskinan secara multidimensi dan deprovasi utama kemiskinan di Kota Pekalongan. Penelitian ini menggunakan data hasil Survei Sosial Ekonomi Nasional (Susenas) tahun 2019-2021 dan metode pengukuran kemiskinan multidimensi Alkire-Foster, serta 12 indikator dalam 3 dimensi (pendidikan, kesehatan, dan standar hidup). Hasil menunjukkan bahwa kemiskinan multidimensi selama 3 tahun di Kota Pekalongan selalu lebih tinggi dibandingkan pengukuran kemiskinan yang dilakukan oleh BPS. Penelitian ini juga menemukan skala prioritas bantuan pengentasan kemiskinan yang dibutuhkan di Kota Pekalongan berdasarkan deprivasi utamanya, yakni progman bantuan untuk mengatasi lama sekolah dalam dimensi pendidkan, kecukupan gizi dalam dimensi kesehatan dan kepemilikan aset dalam dimensi standar hidup.
Positive Predictive Value of ICD-10 Codes to Identify Acute Suicidal and Self Harm Behaviors
Authors: Johnson Jakobi A. , Williams Derek J. , Feinstein James A. , Grijalva Carlos G. , Zhu Yuwei , Dickinson Emily , Stassun Justine C. , Sekmen Mert , Tanguturi Yasas C. , Gay James C. , Antoon James W. 
Published: July 2023

OBJECTIVE
The accuracy of diagnosis codes to identify suicidal behaviors, including suicide ideation (SI) and self-harm (SH) events, is unknown. The objective of this study was to determine the positive predictive value (PPV) of International Classification of Disease, 10th Revision codes to identify SI/SH events that may be used in studies using administrative and claims data.

METHODS
We performed a secondary analysis of a cross-sectional study of children 5 to 17 years of age hospitalized at 2 US children’s hospitals with a discharge diagnosis of a neuropsychiatric event, including an SI or SH event. A true International Classification of Disease, 10th Revision SI or SH diagnosis was defined as SI or SH present on admission and directly related to hospitalization as compared with physician record review. PPV with 95% confidence intervals (CIs) were calculated overall and stratified by diagnosis order and age (5 to 11 years vs 12 to 17 years).

RESULTS
There were 376 children or adolescents with a discharge diagnosis of an SI or SH event. The median age was 14 years, and the majority of individuals were female (58%), non-Hispanic White (69%), and privately insured (57%). A total of 332 confirmed SI/SH cases were identified with a PPV of 0.88 (95% CI 0.85–0.91). PPVs were similar when stratified by diagnosis order: primary 0.94 (95% 0.88–0.97) versus secondary 0.86 (95% CI 81–90). PPVs were also similar in adolescents (0.89, CI 0.85–0.92) compared with children (0.84, 95% CI 0.74–0.91).

CONCLUSIONS
The use of these validated code sets to identify SI or SH events may minimize misclassification in future studies of suicidal and self-harm hospitalizations.
Abnormal structural alterations and disrupted functional connectivity in behavioral addiction: A meta-analysis of VBM and fMRI studies
Authors: Zeng Xinglin , Han Xinyang , Gao Fei , Sun Yinghao , Yuan Zhen 
Published: July 2023

AbstractBackgroundAltered large-scale brain systems, including structural alterations and resting-state functional connectivity (rs-FC) changes, have been demonstrated as effective system-level biomarkers for revealing potential neural mechanism of multiple brain disorders. However, identifying consistent abnormalities of large-scale brain systems in behavioral addictions (BA) is challenging due to varying methods and inconsistent results. Therefore, the aim of this study was to identify the significantly abnormal large-scale brain systems in BA.MethodPubMed, OVID Embase, OVID Medline, and Web of Science were searched with relevant keywords to identify potential studies. A total of 52 studies including 35 rs-FC studies and 17 structural studies were examined by extracting the coordinates of seeds and target brain regions. The seeds were then categorized into predefined seven networks by their locations based on previous parcellations in rs-FC studies, followed by pooling the results in those networks.ResultsThe rs-FC findings illustrated that BA were characterized as abnormal networks in response to inhibition, salience attribution, self-referential mental process, and reward-driven behaviors. Meanwhile, meta-analysis of structural studies showed decreased gray matter volume in the anterior cingulate cortex, extending to the middle cingulate cortex and the superior frontal gyrus. Importantly, overlapping regions in the cingulate cortex and anterior thalamus projections extending to caudate regions exhibited both dysfunctions in structure and rs-FC.ConclusionsThis study highlighted substantial dysconnectivity in BA, which might result in impaired response to inhibition and salience attribution. Therefore, this study might provide novel insights of neural biomarkers for clinical diagnoses and treatment targets for BA.
How big is a big hazard ratio in clinical trials?
Authors: Lu Yuanyuan , Wang Wei , Huang Yangxin , Chen Henian 
Published: July 2023

Background: The hazard ratio has been widely used as an index of effect size in clinical trials for time-to-event data. The use of the Cox proportional hazards models and other hazard centered models is ubiquitous in clinical trials for time-to-event data. The relativity of effect sizes (small, medium, large) has been widely discussed and accepted when comparing magnitude of association for continuous and categorical data, but not yet for time-to-event outcomes.
Methods: We review published hazard ratios, investigate the relationships among HR, relative risk (RR), odds ratio (OR), and Cohen’s d, and calculate the corresponding HRs for given event rate in control group ( ) by adding standard normal deviation with 0.2 (small), 0.5 (medium) and 0.8 (large) to the event rate in the case group ( based on equation .
Results: Our results indicate that HRs are from 1.68 to 1.16 when the event rate of control group moves from 1% to 90%, which are equivalent to Cohen’s d = 0.2 (small). HRs are ranged between 3.43 and 1.43 when the event rate of control group moves from 1% to 90%, which are equivalent to Cohen’s d = 0.5 (medium), HRs are valued between 6.52 and 1.73 when the event rate of control group moves from 1% to 90%, which are equivalent to Cohen’s d = 0.8 (large).
Conclusions: This study provides general guidelines in interpreting the magnitudes of HRs for time-to-event data in clinical trials.