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Komparasi Efisiensi Bank Umum Konvensional Pemerintah dan Bank Umum Konvensional Swasta dengan Pendekatan Data Envelopment Analysis Susila, Muktar Redy; Nugroho, Wawan Cahyo; Arini, Dian
Jurnal Samudra Ekonomi dan Bisnis Vol 15 No 1 (2024): JSEB
Publisher : Fakultas Ekonomi Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33059/jseb.v15i1.7695

The research aim is to compare the level of efficiency between government-owned conventional commercial banks and privately owned conventional commercial banks. The samples are government-owned and privately owned conventional commercial banks registered in the period 2018 to 2022. The input variables used are deposits, labor costs and fixed assets; while output variables include total credit and operating income. Efficiency scores were analyzed using the data envelopment analysis method, and for the difference test the Mann-Whitney method was used. The results show that there is no significant difference in efficiency scores between government-owned conventional commercial banks and privately owned conventional commercial banks.

Peranan pertumbuhan ekonomi dalam memediasi faktor-faktor yang mempengaruhi indeks pembangunan manusia Susila, Muktar Redy
Journal of Business & Banking Vol 13 No 2 (2023): November 2023 - April 2024
Publisher : Universitas Hayam Wuruk Perbanas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14414/jbb.v13i2.4458

Provincial HDI data in 2022 shows striking disparities between regions. This figure shows the uneven economic development in Indonesia. An analysis of factors that can influence HDI is needed. This research aims to analyze the influence of regional finan-cial performance and capital expenditure on HDI with economic growth as an inter-vening variable. The sample used in this research was 34 provinces that met the research criteria. The variables used in this research are regional financial performance, capital expenditure, economic growth, and HDI. Financial performance and capital expenditure are exogenous variables, economic growth is an intervening variable, and HDI is an endogenous variable. The method used to analyze the relationship between variables is SEM PLS. The test results show that financial performance, capital expenditure and economic growth directly have a positive significant effect on HDI. The results of this test have the implication that to improve the quality of life of the population, attention is needed to improve financial performance, capital expenditure and economic growth in each region. The other test results showed that economic growth was able to mediate the effect of capital expenditure on HDI but was not able to mediate the effect of financial performance on HDI.

PENGARUH HARI RAYA IDUL FITRI TERHADAP INFLASI DI INDONESIA DENGAN PENDEKATAN ARIMAX (VARIASI KALENDER) Susila, Muktar Redy
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 3 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

The inflation rate is very important for the government to maintain the stability of the country's economy. If inflation cannot be controlled, the prices of goods and services will rise uncontrollably. Eid al-Fitr causes increase basic needs price. It is assumed that abnormal prices have an effect on inflation. The purpose of this study is to calculate the effect of Eid Al-Fitr to Indonesian monthly inflation. The ARIMAX (Calendar Variation) method is used to determine the effect of Eid Al-Fitr on Indonesian monthly inflation. The data used in this study is the monthly inflation by Badan Pusat Statistik. The characteristics of inflation in July 2008 to June 2019 are unique. The average of inflation is 0,39 and the variance of inflation is 0,26. The ARIMAX model shows that January, May, June, July, August, November, December, and Eid Al-Fitr has a significant effect on Indonesian monthly inflation. The effect of the Eid Al-Fitr was 0,47. The meaning of this number is that when Eid al-Fitr arrives, inflation will increase by 0,47.

Comparison Between Neural Network and Grey System Models for Cooking Oil Price Fastha Aulia Pradhani; Susila, Muktar Redy; Akolo, Ingka Rizkyani
JMPM: Jurnal Matematika dan Pendidikan Matematika Vol 10 No 1 (2025): March - August 2025
Publisher : Prodi Pendidikan Matematika Universitas Pesantren Tinggi Darul Ulum Jombang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/jmpm.v10i1.3395

Cooking oil is one of the primary raw materials used in Indonesia. In this study, a comparison of the two forecasting models from the two methods, namely Neural Network and Grey System, was carried out. Forecasting is carried out on cooking oil raw materials, namely CPO production volume and demand for related products, namely biodiesel, to analyze changes in cooking oil prices. The appropriate forecasting model is expected to be able to describe the pattern of cooking oil price fluctuations for the following few periods. The criteria for selecting the best model use the minimum MAPE testing value. The results show that the Grey System method produces the best forecasting model for biodiesel demand data with a small amount of data, while for the CPO variable, which has a larger amount of data, the best model is obtained using the Neural Network model, with the MLP (3-3-1) architecture.

PEMODELAN REGRESI SPASIAL INVESTASI LUAR NEGERI YANG MASUK KE INDONESIA Susila, Muktar Redy; Putri, Rizfanni Cahya; Arini, Dian
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 4 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

One of the important factors in the growth of a country's economy is investment. Sources of investment are divided into two, namely foreign investment and domestic investment. There are many benefits of foreign investment. These benefits are such as for development, employment, tax revenue, increasing foreign exchange, international trade, strengthening friendship with foreign countries and much more. The purpose of this research is to modeling of foreign investment in Indonesia using spatial regression. The predictor variables used are the number of labor and the net monthly salary. Based on the results of research analysis obtained information that the West Java province is the highest province to get investment funds from abroad. The highest net monthly salary in Indonesia is DKI Jakarta province. The highest number of labor in Indonesia is West Java Province. Based on the results of the Lagrange Multiplier test which showed a significant Lagrange Multiplier (lag) with a p-value < Î± = 5%. That's shows for the number of labor, the net monthly salary, and the foreign investment in Indonesia fulfill the spatial dependencies assumption. Based on the spatial regression model shows the number of labor, the net monthly salary, and the weighting has a significant impact on foreign investment in Indonesia.

PEMODELAN MULTIVARIATE KUNJUNGAN WISATAWAN MANCANEGARA KE INDONESIA MELALUI PINTU UDARA, LAUT, DAN DARAT YANG MELIBATKAN DAMPAK WABAH COVID-19 Susila, Muktar Redy
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 3 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Abstrak Salah satu penyumbang pertumbuhan perekonomian Indonesia adalah sektor pariwisata. Menurut asalnya wisatawan dibagi menjadi dua yaitu wisatawan lokal dan mancanegara. Kunjungan wisatawan mancanegara ke Indonesia mengalami fluktuaktif setiap bulannya. Menurut kedatangannya, wisatawan mancanegara yang masuk ke Indonesia melalui jalur udara, laut, dan darat. COVID-19 memberikan dampak terhadap sektor pariwisata. Diduga bahwa COVID-19 mempengaruhi terhadap kedatangan wisatawan mancanegara. Tujuan dari penelitian ini yaitu memodelkan kunjungan wisatawan mancanegara ke Indonesia melalui pintu udara, laut, dan darat dengan melibatkan dampak wabah COVID-19. Model yang digunakan pada penelitian ini yaitu Vector Autoregressive input X (VARX). Hasil dari penelitian ini diperoleh bahwa model yang sesuai yaitu VARX (1,2,5,7). Pemilihan model berdasarkan nilai RMSE in sample paling kecil. Nilai RMSE untuk model kunjungan wisatawan melalui pintu udara yaitu sebesar 72,217, pintu laut sebesar 0,175, dan pintu darat sebesar 0,092. Kata Kunci : Wisatawan, Mancanegara, COVID-19, VARX. Abstract The tourism sector is one sector of Indonesian economic growth contributor. Tourists are divided into two, namely local and foreign tourists. The number of foreign tourist visits to Indonesia has fluctuated every month. Foreign tourists coming to Indonesia by air, sea and land. COVID-19 has an impact on the tourism sector. It is suspected that COVID-19 affects the arrival of foreign tourists. This study examines the modelling of foreign tourist arrivals number to Indonesia by air, sea and land involving the COVID-19 impact. The model used in this study is Vector Autoregressive input X (VARX). The results of this study indicate that the appropriate model is VARX (1,2,5,7). The RMSE in sample is used to determine the appropriate model. The RMSE value for the model of tourist visits through the air gate is 72.217, the sea gate is 0.175, and the land gate is 0.092. Keywords: Tourists, Foreign, COVID-19, VARX.

SPATIO-TEMPORAL ANALYSIS OF RUPIAH LOANS PROVIDED BY COMMERCIAL BANKS AND RURAL BANKS Susila, Muktar Redy
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 3 (2022): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

According to SEKI data in 2020, DKI Jakarta is the province that has the highest average monthly value of rupiah loans provided by commercial banks and rural banks. Many factors can affect the size of the value. The amount of rupiah loans provided by commercial banks and rural banks in the previous months can affect the current value. The geographical conditions of an area can have an impact on the surrounding area. Likewise, the number of rupiah loans in DKI Jakarta Province is suspected of having mutual influence with surrounding provinces. The provinces that are directly adjacent to DKI Jakarta are Banten Province and West Java Province. The purpose of this study is to conduct spatio-temporal analysis of the amount of loans provided by commercial banks and rural banks. The data used is the monthly amount of rupiah loans provided by commercial banks and rural banks in DKI Jakarta, West Java, and Banten Provinces in a time period between January 2012 to July 2021. The GSTAR method has been used to analyze the spatio-temporal relationship. The GSTAR model formed is GSTAR(3,6,12) with differencing order of 1. Based on the model formed, it was concluded that the amount of loans provided by commercial banks and rural banks in the three provinces is related to each other spatially and temporally. The RMSE value for each of the models formed is 1.871 for Banten Province, 13.701 for DKI Jakarta, and 2.919 for West Java Province.

Peranan pertumbuhan ekonomi dalam memediasi faktor-faktor yang mempengaruhi indeks pembangunan manusia Susila, Muktar Redy
Journal of Business & Banking Vol 13 No 2 (2023): November 2023 - April 2024
Publisher : Universitas Hayam Wuruk Perbanas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14414/jbb.v13i2.4458

Provincial HDI data in 2022 shows striking disparities between regions. This figure shows the uneven economic development in Indonesia. An analysis of factors that can influence HDI is needed. This research aims to analyze the influence of regional finan-cial performance and capital expenditure on HDI with economic growth as an inter-vening variable. The sample used in this research was 34 provinces that met the research criteria. The variables used in this research are regional financial performance, capital expenditure, economic growth, and HDI. Financial performance and capital expenditure are exogenous variables, economic growth is an intervening variable, and HDI is an endogenous variable. The method used to analyze the relationship between variables is SEM PLS. The test results show that financial performance, capital expenditure and economic growth directly have a positive significant effect on HDI. The results of this test have the implication that to improve the quality of life of the population, attention is needed to improve financial performance, capital expenditure and economic growth in each region. The other test results showed that economic growth was able to mediate the effect of capital expenditure on HDI but was not able to mediate the effect of financial performance on HDI.

The role of work engagement in mediating the effect of job characteristics and compensation on performance Susila, Muktar Redy
Asian Management and Business Review Volume 3 Issue 1, 2023
Publisher : Master of Management, Department of Management, Faculty of Business and Economics Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/AMBR.vol3.iss1.art6

This study aims to analyze the effect of job characteristics and compensation on performance through work engagement. There are four variables in this study, including work engagement, compensation, job characteristics, and performance. Several previous studies have shown that work engagement is able to mediate the influence of job characteristics and compensation on performance. The data of this research comes from the perception of tax bailiff. The sample size of 263 employees was obtained by using Slovin formula. The analytical SEM PLS method was used to answer the research objectives. The results obtained from this research show that work engagement is able to mediate the effect of job characteristics and compensation on performance. In addition, the direct influence test shows that job characteristics and compensation have a significant and positive effect on work engagement. Job characteristics, compensation, and work engagement have a significant and positive effect on performance.

Pendampingan Digitalisasi Pelaku UMKM Kelurahan Kedurus Susila, Muktar Redy; Jamil, Mochamad; Ilahiyah, Elthaf; Yahya, Dian Ratnasari; Damayanti, Krisna
Jurnal KeDayMas: Kemitraan dan Pemberdayaan Masyarakat Vol. 4 No. 2 (2024): Juli 2024
Publisher : Research Center and Community Services (PPPM) Universitas Hayam Wuruk "Perbanas" Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14414/kedaymas.v4i2.4544

Para pelaku Usaha Mikro, Kecil, dan Menengah (UMKM) di Indonesia semakin meningkat jumlahnya. Perkembangan UMKM di Indonesia terus meningkat dari segi kualitasnya, hal ini dikarenakan dukungan kuat dari pemerintah dalam pengembangan yang dilakukan kepada para pelaku UMKM, yang mana hal tersebut sangat penting dalam mengantisipasi kondisi perekonomian ke depan serta menjaga dan memperkuat struktur perekonomian nasional. Terdapat 25 pelaku UMKM RW 08 Kelurahan Kedurus, Kecamatan Karang Pilang, Kota Surabaya. Pada saat ini, para pelaku UMKM tersebut menjalankan bisnisnya masih ada yang belum terjamah digitalisasi. Terdapat beberapa pelaku UMKM yang belum menggunakan platform digital untuk menjual produknya. Kondisi lainnya juga menunjukan bahwa pecatatan keuangan pada pelaku UMKM belum tercatat dengan rutin dan belum rapi. Kondisi tersebut menunjukan belum optimalnya penggunaan teknologi oleh para pelaku UMKM. Program pengabdian kepada masyarakat ini bertujuan yaitu mengoptimalkan penggunaan digitalisasi marketing dan pencatatan keuangan kepada pelaku UMKM. Metode yang digunakan yaitu pemetaan, pendampingan, monitoring dan evalusi, serta pembuatan laporan. Hasil akhir dalam kegiatan ini adalah mitra mampu menggunakan aplikasi Shopee dan Akuntansiku untuk menjalankan bisnisnya.

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