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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.

Dampak COVID-19 Terhadap Hasil Analisis Kelayakan Investasi pada Saham Perusahaan BUMN Muktar Redy Susila
E-Jurnal Akuntansi Vol 33 No 7 (2023)
Publisher : Accounting Department, Economic and Business Faculty of Universitas Udayana in collaboration with the Association of Accounting Department of Indonesia, Bali Region

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/EJA.2023.v33.i07.p08

The aim of the research is to analyze the impact of COVID-19 on the stock performance of State-Owned Enterprises (BUMN). The research sample is the shares of BUMN companies. The sampling technique used in this research is purposive sampling. The number of samples that met the research criteria were 19 state-owned companies. The method used to analyze the CAPM. The results of the analysis prior to COVID-19 found that five state-owned companies were efficient shares. The results of the analysis at the time of COVID-19 obtained that fifteen BUMN companies were efficient shares. The results of the different tests on the performance of BUMN shares before and during COVID-19 concluded that there were differences. The results of the study show that with COVID-19 the feasibility of state-owned company shares has changed.Keywords : Stocks; COVID-19; CAPM; State-Owned Companies

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.

PEMBERDAYAAN POKLAHSAR PERIKANAN DESA KLAMPIS BARAT DENGAN PEMASARAN VIRAL DAN PENGEMASAN PRODUK Yani, Prawita; Susila , Muktar Redy; Nugroho , Wawan Cahyo; Pradhani , Fastha Aulia; Zuhroh, Nur Fatimatuz
Jurnal Kreativitas dan Inovasi (Jurnal Kreanova) Vol 5 No 2 (2025)
Publisher : Sekolah Tinggi Ilmu Ekonomi Indonesia (STIESIA) Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24034/kreanova.v5i2.7214

Kegiatan Pengabdian dilaksanakan pada Kelompok Pengolah dan Pemasaran (Poklahsar) Desa Klampis Barat, Klampis, Bangkalan, Jawa Timur. Permasalahan yang dihadapi pengelolaan secara tradisional baik pemasaran maupun pengolahan produknya. Produk mentah hasil tangkapan ikan langsung masih dipasarkan di pelabuhan dan pasar setempat, sedangkan pengemasan masih menggunakan plastik dan mengikatnya dengan tali rafia untuk dijual di pasar yang menyebabkan produk menjadi tidak awet. Tujuan pengabdian memberikan pendampingan pembuatan konten pemasaran viral yang terintegrasi dengan data statistik untuk meningkatkan perluasan area pemasaran dan pembuatan kemasan serta label produk yang menarik. Dimulai dari identifikasi masalah dengan diskusi bersama Ketua Poklahsar secara daring. Lalu pemaparan materi pemasaran viral dan pengemasan produk secara offline. Setelahnya dilakukan pendampingan dalam pembuatan desain label melalui online aplikasi yaitu Canva. Monitoring dan Evaluasi dilakukan sepanjang proses pemaparan materi hingga pendampingan. Hasilnya dengan mendorong para anggota Poklahsar untuk membuat konten pemasaran viral di media sosial dan memberikan arahan mendesain template label produk dengan menggunakan akun Canva untuk kemudian dicetak sesuai kebutuhan produksi. Dampak dari kegiatan ini akan menambah pendapatan dari warga yang mendukung pada terciptanya Desa Mandiri

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.

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