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PERBANDINGAN REGRESI LOGISTIK MULTINOMINAL DAN ANALISIS DISKRIMINAN Rifda Nabila; Risdiana Himmati; Rendra Erdkhadifa
Ar Rehla: Journal of Islamic Tourism, Halal Food, Islamic Traveling, and Creative Economy Vol 1 No 2 (2021)
Publisher : Fakultas Ekonomi dan Bisnis Islam - Institut Agama Islam Negeri Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (430.522 KB) | DOI: 10.21274/ar-rehla.v1i2.4820

Abstract

Abstrak: Tujuan dari penelitian ini adalah untuk membandingkan analisis regresi logistik multinomial dan analisis diskriminan untuk mengelompokkan keputusan kunjungan wisata halal di Jawa Tengah berdasarkan ketepatan pengelompokan. Analisis statistik yang digunakan adalah regresi logistik multinomial dan analisis diskriminan. Kedua analisis tersebut dapat digunakan sebagai metode pengelompokan objek, sehingga keduanya dapat dibandingkan berdasarkan ketepatan pengelompokkannya. Penelitian ini membandingkan analisis regresi logistik multinomial dan analisis diskriminan dalam pengelompokan keputusan kunjungan wisata halal. Data yang digunakan adalah worship facilities, halalness, general Islamic mortality, dan tourism destination image. Hasil analisis menggunakan metode regresi logistik multinomial menunjukkan faktor-faktor yang secara signifikan mempengaruhi pengelompokan keputusan kunjungan wisata halal adalah variabel tourism destination image, variabel halalness, dan variabel general Islamic morality. Sedangkan dengan analisis diskriminan menunjukkan bahwa semua variabel prediktor yakni worship facilities, halalness, general Islamic mortality, dan tourism destination image memberikan pengaruh secara signifikan terhadap pengklasifikasian keputusan mengunjungi destinasi wisata halal. Penelitian ini menunjukkan bahwa metode regresi logistik multinomial lebih baik untuk pengelompokkan keputusan kunjungan wisata halal dibandingan metode analisis diskriminan, dengan presetnase ketepatan pengelompokkan pada metode regresi logit multinomial sebesar 59,5% dan analisis diskriminan sebesar 53,5%. Analisis regresi logistik multinominal lebih mudah digunakan dalam proses pengelompokan keputusan kunjuangan wisata halal karena tidak mempertimbangkan asumsi yang harus dipenuhi. Kata Kunci: Analisis Diskriminan; Regresi Logistik Multinominal; Keputusan Mengunjungi Abstract: The purpose of this study is to compare multinomial logistic regression analysis and discriminant analysis to classify decisions on halal tourism visits in Central Java based on grouping accuracy. Statistical analysis used is multinomial logistic regression and discriminant analysis. The two analyzes can be used as a method of grouping objects, so that they can be compared based on the accuracy of the grouping. This study compares multinomial logistic regression analysis and discriminant analysis in grouping decisions for halal tourism visits. The data used are worship facilities, halalness, general Islamic mortality, and tourism destination image. The results of the analysis using the multinomial logistic regression method show that the factors that significantly influence the grouping of decisions for halal tourism visits are the tourism destination image variable, the halalness variable, and the general Islamic morality variable. Meanwhile, discriminant analysis shows that all predictor variables namely worship facilities, halalness, general Islamic mortality, and tourism destination image have a significant influence on the classification of decisions to visit halal tourist destinations. This study shows that the multinomial logistic regression method is better for grouping decisions on halal tourist visits than the discriminant analysis method, with a preset percentage of grouping accuracy in the multinomial logit regression method of 59.5% and discriminant analysis of 53.5%. Multinominal logistic regression analysis is easier to use in the process of grouping halal tourism travel decisions because it does not consider the assumptions that must be met. Keywords: Discriminant Analysis; Multinomial Logistic Regression; Visiting decision.
PENERAPAN ANALISIS REGRESI BERGANDA DALAM PEMODELAN TINGKAT KELANCARAN PENGEMBALIAN PEMBIAYAAN Yunita Eka Saputri; Rendra Erdkhadifa
Jurnal Penelitian Mahasiswa Ilmu Sosial, Ekonomi, dan Bisnis Islam (SOSEBI) Vol 1 No 1 (2021)
Publisher : Fakultas Ekonomi dan Bisnis Islam, Universitas Islam Negeri Sayyid Ali Rahmatullah Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (287.436 KB) | DOI: 10.21274/sosebi.v1i1.4909

Abstract

Abstrak: Penelitian ini didasarkan pada tingginya tingkat pengembalian pembiayaan pada BMT Pahlawan Tulungagung dan KSPPS Baitul Izza Sejahtera Tulungagung. Tingkat pengembalian pinjaman yang teratur akan mempengaruhi kesehatan lembaga keuangan mikro syariah. Analisis faktor-faktor yang mempengaruhi tingkat kelancaran pengembalian pembiayaan dapat dilihat dari indikator yang digunakan: tingkat pendidikan, pendapatan perusahaan, jumlah pembiayaan, taksiran agunan dan jangka waktu pinjaman. Penelitian ini menggunakan pendekatan kuantitatif. Sementara jenis penelitiannya adalah hubungan pengaruh antar variabel atau disebut dengan asosiatif dan data yang digunakan dalam penelitian ini adalah data primer yang diperoleh dari penyebaran kuesioner dengan menggunakan teknik incidental sampling. Data variabel yang digunakan dalam analisis terukur dengan skala Likert. Hasil pengujian menunjukkan (1) Antara variabel tingkat pendidikan, pendapatan perusahaan, jumlah pembiayaan, taksiran agunan dan jangka waktu pinjama terdapat salah satu variabel yang berpengaruh secara signifikan. (2) kelancaran pengembalian pembiayaan dipengaruhi oleh tingkat pendidikan secara signifikan (3) variabel pendapatan operasional tidak berpengaruh signifikan terhadap kelancaran pengembalian pembiayaan. (4) variabel jumlah pinjaman berpengaruh signifikan (5) kelancaran pengembalian pembiayaan tidak dipengaruhi secara signifikan pada variabel taksiran agunan. (6) dan variabel periode pendanaan berpengaruh signifikan terhadap kelancaran pengembalian pembiayaan. Kata Kunci: jangka waktu pembiayaan; jumlah pembiayaan; kelancaran pengembalian pembiayaan; pendapatan usaha; taksiran agunan; tingkat pendidikan. Abstract: The background of this research is that the high level of smooth return of financing, in KSPPS Baitul Izza Sejahtera Tulungagung and BMT Pahlawan Tulungagung. The smooth rate of return on financing will affect the health of a sharia microfinance institution. Analysis of the factors that affect the smooth rate of return on financing can be seen from the indicators used include Education Level, Business Income, Total Financing, Collateral Estimate, and Financing Term. This study uses a quantitative approach with the type of associative research. The data used in this study are primary data obtained from distributing questionnaires using incidental sampling technique and the measurement scale used is the Likert scale, so the test results show (1) simultaneously among the variables of education level, business income, amount of financing, estimated collateral and financing period have a significant effect on the smooth return of financing. (2) the education level variable has a significant effect on the smooth return of financing. (3) the operating income variable has no significant effect on the smooth return of financing at KSPPS Baitul Izza Sejahtera Tulungagung and has a significant effect on BMT Pahlawan Tulungagung. (4) the variable amount of financing has a significant effect on the smooth return of financing. (5) the estimated collateral variable has no significant effect on the smooth return of financing. (6) the financing period variable has a significant effect on the smooth return of financing at KSPPS Baitul Izza Sejahtera Tulungagung and BMT Pahlawan Tulungagung. Keywords: The amount of financing; business income collateral estimate; education level; financing period; smooth repayment of financing.
Analisis Efisiensi dengan Data Envelopment Analysis Agressive dan Pengukuran Faktor-Faktor yang Diduga Berpengaruh terhadap Efisiensi Bank Syariah Bukopin Arijal Koiri; Rendra Erdkhadifa
Jurnal Manajemen dan Keuangan Vol 11 No 1 (2022): JURNAL MANAJEMEN DAN KEUANGAN
Publisher : Program Studi Manajemen Fakultas Ekonomi Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33059/jmk.v11i1.5113

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Penelitian ini dilatar belakangi oleh peran perbankan syariah dalam meningkatkan pembangunan ekonomi nasional ke arah peningkatan kesejahteraan masyarakat melalui kredit atau pembiayaan yang dituntut untuk selalu efisien. Maka dari itu peneliti mengangkat permasalahan efisiensi dan faktor-faktor yang diduga berpengaruh terhadap efisiensi Bank Syariah Bukopin dengan tujuan untuk mengetahui hasil tingkat efisiensi Bank Syariah Bukopin dan faktor-faktor apa saja yang berpengaruh terhadap efisiensi Bank Syariah Bukopin. Penelitian ini menggunakan pendekatan kuantitatif dengan jenis asosiatif. Sampel penelitian ini berjumlah 26 data laporan triwulan dengan teknik analisis data yang digunakan yaitu Data Envelopment Analysis Agressive dan Analisis Regresi Linier Berganda. Hasil pengujian menunjukkan bahwa variabel input yang memberikan kontribusi terbesar dalam peningkatan efisiensi Bank Syariah Bukopin adalah beban tenaga kerja dan beban overhead sedangkan pada variabel output adalah pendapatan fee base income. Selama periode penelitian rata-rata efisiensi yang diperoleh dengan teknik DEA Agressive sebesar 0,786. Adapun faktor yang berpengaruh secara signifikan terhadap tingkat efisiensi Bank Syariah Bukopin adalah FDR dan Size, sedangkan NPF, ROA, dan CAR tidak berpengaruh secara signifikan terhadap tingkat efisiensi.
Data Envelopment Analysis Approach for Efficiency Comparison of Banking System Rendra Erdkhadifa; Risdiana Himmati
Enrichment : Journal of Management Vol. 12 No. 2 (2022): Management Science and Field
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (882.354 KB) | DOI: 10.35335/enrichment.v12i2.414

Abstract

This study aims to calculate the level of banking efficiency that needs to be known to be associated with the performance of the banking management macro and micro variable. So banking industry in practice can arrange a program to increase efficiency and to anticipate the influence of anything that can makes banking will be lost .Bank with a good the efficiency in general is able to provide good service for customer. Efficiency of bank usually set pricing with the form of the high interest margin .The variables input used in this research is amount of labor .And the output to calculate efficiency are interest income of the money and the amount of funds which has been distributed. Then, comparing two different principle banking between bank syariah mandiri and bank mandiri. By using the method of measurement efficiency with DEA CCR, in two banks was efficient in some specified time. And then using DEA aggressive appears that the efficiency that tends to look the differences between DMU from both banks. From the, observation bank Syariah mandiri is much better because it can reach effieciency 12nd DMU. If calculating unefficiency that bank syariah mandiri also is better than bank mandiri.
The geographically weighted regression approach in analyzing the factors forming economic growth Rendra Erdkhadifa
Indonesian Journal of Islamic Economics Research Vol 1, No 2 (2019): Indonesian Journal of Islamic Economics Research
Publisher : Fakultas Ekonomi dan Bisnis Islam, Institut Agama Islam Negeri (IAIN) Salatiga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18326/ijier.v1i2.3255

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East Java has a great position to become one of a province with a predominance of the economic studies which has an allotment of a region with affects culture. Known as the Mataraman based on a culture that is inherited. Derived from the influence of ancient culture Mataram which centered on central java and D.I Yogyakarta. The effect of great culture on Mataraman region is viewed as one characteristic that has the ability on economic activities, with the result that causes differences in economic growth’s indicators as reflection of economic’s prosperity. This study looks at the factor which provide economic growth is based on Mataraman characteristic by Government Expenditure, Gross Domestic Regional Product, Mataraman, Original Local Government Revenue and analyzed using regression and Geographically Weighted Regression to get best model economic growth in Mataraman, East Java. The conclusion of the study is every object has different factor to influence economic growth
Mixed Geographically Weighted Poisson Regression Model in The Number of Maternal Mortality Rendra Erdkhadifa
Jurnal Mantik Vol. 6 No. 3 (2022): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v6i3.3176

Abstract

This study aims to prove and to use the multiple regression analysis methods can be developed into Poisson regression because the total data follows the assumption of a Poisson distribution. Conditions that occur in poisson regression obtained a global regression coefficient value, which means that each observation point has generalized observation characteristics influenced by the same variables. Based on this problem, a spatial regression is developed where the geographical weighting that called geographically weighted Poisson regression. The results obtained in the geographically weighted poisson regression method allow for variables that have an effect at all observation points. So developed by geographically weighted Poisson regression semiparametric method. This method is implemented in solving the problem of maternal mortality in East Java which is thought to be influenced by the some independent variables. In this study, using East Java data in 2019. The results of mixed geographically weighted poisson regression results, with kernel function used in the analysis is fixed gaussian and the variable number of health facilities was used as a global variable, and obtained 12 groups with local variables that both had a significant effect
Pengaruh Keputusan Investasi, Leverage, Profitabilitas, Dan Rasio Aktivitas Terhadap Price Book Value Pada Perusahaan Infrastruktur Yang Terdaftar Di BEI Tahun 2020 Irma Amilia; Rendra Erdkhadifa
Shafin: Sharia Finance and Accounting Journal Vol. 2 No. 2 (2022)
Publisher : IAIN Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19105/sfj.v2i2.6853

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This research was motivated by an Infrastructure Company which became the focus that several sectors experienced a decline in stock prices, financial performance and economic growth in Indonesia due to the Covid-19 pandemic outbreak. Therefore, to collect empirical data about the impact of investment decisions, leverage, profitability, and activity ratios on price book value in Infrastructure Companies listed on the IDX in 2020, the researchers raised issues and factors that are expected to have an impact on the book price or value. company (PBV). This study use a quantitatives approach and the type of associatiive research. Because the data is secondary, it is obtained from the annual financial reports of infrastructure companies that will be listed on the IDX in 2020 through the IDX's official website. The sample of this study includes 40 annual financial statement data, and multiple regression analysis is used to analyze the data. Leverage is one of the variables which according to the test results have an effect on Price Book Value, while investment decisions, profitability, and activity ratios have no effect on Price Book Value.
Pengaruh CAR, DPK, NIM, ROA, NPF, dan Inflasi terhadap FDR Bank Umum Syariah Indonesia Periode 2016-2020 Khoirunisa Khoirunisa; Rendra Erdkhadifa
Syi`ar Iqtishadi : Journal of Islamic Economics, Finance and Banking Vol 6, No 2 (2022)
Publisher : FEB Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35448/jiec.v6i2.15472

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The growth of the FDR of Indonesian Islamic Commercial Banks from 2016 to 2020 has decreased. The decrease was due to the easing of financing distribution in order to maintain the quality of financing. The FDR is in a low position, indicating the bank is in a liquid condition, but the bank'si function has not been fulfilled. This study aims to determine whether or not there is an effect of CAR, DPK, NIM, ROA, and Inflation variables on the FDR. This study uses quantitative methods of associative research. The data source uses secondary data from the financial statements of Indonesian Islamic Commercial Banks and Bank Indonesia inflation reports. Analysis of the data used is panel regression using Eviews. The results showed that the CAR and DPK variables had a significant effect on the FDR. While the variables NIM, ROA, NPF, and Inflation have no significant effect on the FDR. 
Dampak Tingkat Kinerja Keuangan, Perolehan Dana Pihak Ketiga dan Inflasi terhadap Komposisi Jumlah Pemberian Kredit Bank Umum Syariah Rendra Erdkhadifa
Jurnal Masharif al-Syariah: Jurnal Ekonomi dan Perbankan Syariah Vol 8 No 1 (2023)
Publisher : Universitas Muhammadiyah Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (379.035 KB) | DOI: 10.30651/jms.v8i1.14667

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Munculnya penurunan tingkat FDR BUS bermula pada 2016 hingga 2020 yang ditengarai oleh pengurangan intensitas pembiayaan untuk meminimalisir pembiayaan macet memiliki imbas pada tidak tercapainya fungsi intermediasi bank meskipun likuiditas bank dalam keadaan baik. Demi meminimalisir munculnya risiko likuiditas, maka diperlukan suatu studi mengenai faktor-faktor yang memiliki pengaruh pada FDR yang dapat menghambat bank dalam pemenuhan kewajiban jangka pendeknya. Penelitian pada beberapa indikator keuangan yang dianggap memiliki dampak seperti CAR, DPK, NIM, ROA, NPF, serta inflasi dilakukan guna dapat mengetahui indikator keuangan mana saja yang dapat berpengaruh pada FDR bank. Penelitian ini dilakukan secara kuantitatif asosiatif menggunakan teknik sampling purposive sampling dari data sekunder berupa data laporan keuangan BUS pada tiap-tiap triwulan selama tahun 2016 hingga 2020 yang dianalisis dengan regresi data panel yang dibantu dengan software EViews. Hasil analisis membuktikkan bahwa setidaknya terdapat salah satu variabel di antara CAR, DPK, NIM, ROA, NPF dan Inflasi ini memiliki pengaruh secara serentak. Sementara secara parsial, hanya terdapat dua variabel yakni CAR dan DPK saja yang menghasilkan pengaruh signifikan pada FDR.
ANALISIS KORELASI KANONIK KUALITAS PELAYANAN DAN KEPUASAN KONSUMEN PADA MIE MIELIADER BANDUNG Fitria Dwi Nuriyah; Rendra Erdkhadifa
Juremi: Jurnal Riset Ekonomi Vol. 2 No. 5: Maret 2023
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Consumer satisfaction is consumer expectations of a product. Customer satisfaction can be created by paying attention to the quality of service. The higher the quality of service and customer value obtained, the greater the customer satisfaction. This study aims to find out whether there is a relationship between service quality and customer satisfaction at Mie Mieliader Bandung. The approach used in this study is a quantitative approach with a canonical correlation analysis method. The data used are primary data with sampling quota sampling techniques in the form of distributing questionnaires to the target population. Variable indicators of service quality include reliability, physical evidence, responsiveness, assurance, and empathy. Variable indicators of consumer satisfaction include product quality, price, emotional factors and convenience. The results obtained in this study show that the quality of services provided by Mie Mieliader Bandung has a close relationship with consumer satisfaction. The variable indicator of service quality that has the greatest influence is assurance, while the indicator of consumer satisfaction, namely product quality, is the variable that has the greatest influence.