Pemodelan Deret Waktu Menggunakan Non-linear Autoregressive Neural Network: Studi Kasus Prediksi Harga Saham Mandiri

Basically the goal of a business is to create customers who are satisfied. The creation of satisfaction can provide several benefits, including the relationship between the company's customers are harmonious, provide a good foundation for the purchase and creation of customer loyalty and establish a recommendation by word of mouth (word-ofmouth) which is advantageous for the customer, This research conducted in PT Bank Mandiri (Persero) TBK Padang Belakang Olo Branch sample of 100 customers with sample selection. In this study usingstratified random sampling technique, Bysampling in certain strata then taken at random with equal proportion according to the position in the population, With the data were analyzed by using multiple linear regression analysis. Servqual significantly affect customer satisfaction and positive experience for the customer PT Bank Mandiri (Persero) TBK Padang Belakang Olo Branch, customer value as wellsignificantly affect customer satisfaction and positive experience for the customer PT Bank Mandiri ( Persero) TBK Padang Belakang Olo Branch. Product quality can not beaffects customer satisfaction PT Bank Mandiri (Persero) TBK Padang Belakang Olo Branch. Emotionalcan not affectcustomersatisfactionforcustomers PT Bank Mandiri (Persero) TBK Padang Belakang Olo Branch . Prices are not able to affect customer satisfaction for customers Bank PT Bank Mandiri (Persero) TBK Padang Belakang Olo Branch. Cost significantly affect customer satisfaction and positive experience for the customer PT Bank Mandiri ( Persero) TBK Padang Belakang Olo Branch.It can be concluded that the higher Servqua and, customers value a customer satisfaction will also increase, in addition to lower customers' costs incurred in obtaining products and services PT Bank Mandiri (Persero) TBK Padang Belakang Olo Branch, then customer satisfaction will increase.

This study aims to determine the comparison of the soundness level of PT. Bank Central Asia Tbk and PT Bank Mandiri (Persero) Tbk based on Bank Indonesia Regulation (PBI) No.13/1/PBI/2011 concerning Assessment of Commercial Bank Validity Level using RGEC method (Risk Profile, Good Corporate Governance, Eaming and Capital). The period used in his research was 5 years, starting from 2018 to 2022. The type of research used is descriptive research kualitative. The data obtained is in the form of secondary data in the form of annual financial statements of PT. Bank Central Asia Tbk and PT Bank Mandiri (Persero) Tbk. This study used an assessment method based on the calculation of each variable. Risk Profile assessment uses Non Performing Loan (NPL) and Loan to Deposit Ratio (LDR) ratios. Good Corporate Governance uses the results of Self Assessment of GCG implementation that has been published by PT. Bank Central Asia Tbk and PT Bank Mandiri (Persero) Tbk. Earnings valuation uses the ratio of Return On Asset (ROA) and Operating Expense Against Operating Income (BOPO).. Capital uses the Capital Adequacy Ratio (CAR). The results of research and data analysis using RGEC (Risk Profile, Good Corporate Governance, Earning and Capital) methods can be concluded that PT. Bank Central Asia Tbk and PT Bank Mandiri (Persero) Tbk received a Composite Rating of 1 (PK-1) with the predicate "Very Healthy". This is evidenced by PT Bank Central Asia Tbk obtaining an average composite value of 97.33% and PT Bank Mandiri (Persero) Tbk of 94.00% for the past 5 years. So it is proven that PT Bank Central Asia has a higher performance than PT Bank Mandiri (Persero) Tbk.

The purpose of this study is to determine and analyze the risk of bankruptcy of goverment PT Bank Mandiri (Persero) Tbk by Altman Z-Score. Population of this study is PT Bank Mandiri (Persero) Tbk financial statements and sample of this study is PT Bank Mandiri (Persero) Tbk financial a statements 2014– 2018. Data type used is secondary data and data collection technique is documentation from financial statements published on www.bankmandiri.co.id. Data processing technique used Altman Z-Score methode Modification version. Based on the result data processing, obtained results Z-Score at 2014 is 2,04; 2015 is 2,13; 2016 is 1,98; 2017 is 2,10 and 2018 is 2,22. Based on the data analyze it can be concluded PT Bank Mandiri (Persero) Tbk is categorized suffed the threat of Grey Area because the standart score value below 1,81 < Z < 2,99 and PT Bank Mandiri (Persero) Tbk had the highest risk of bankcruptcy in 2016 with Z-Score in 1,98.

The aim of this research is to determine the liquidity ratio, solvency ratio and profitability at PT Bank Mandiri (Persero) Tbk for the 2018–2022 period and financial ratios at PT Bank Mandiri (Persero) Tbk based on analysis of the liquidity, solvency and profitability ratios for the 2018–2022 period. The method of this research is a quantitative descriptive method. The result of this discussion is an analysis of the financial ratios at PT Bank Mandiri (Persero) Tbk for 2018–2022, summarized as follows: From Bank Mandiri's liquidity ratios for the 2018–2022 period, it can be concluded that Bank Mandiri's liquidity is generally categorized as good. The decline in liquidity in 2020–2022 is normal due to the Covid-19 pandemic. The solvency ratio has also decreased due to Indonesia's economic conditions during the Covid-19 pandemic, but is still categorized as good. Bank Mandiri's profitability ratio experienced a decline during the Covid-19 pandemic in 2020, but increased again and even in 2022 it was able to achieve the best profitability ratio figure in the 5 year period

This study aims to analyze the effect of ROA, ROE, CAR, and EPS on the stock prices at PT. Bank Mandiri (Persero) Tbk in 2010-2019. Technical analysis uses simple linear regression analysis and GARCH (1,1), hypothesis testing using the t-test parsial regression coefficient testing coefficient with a level of significance of 5% (0.05). In addition, These data is non parametric because it has multicollinearity and autocorrelation. These results indicate that only show the results of GARCH (1,1) that ROA and EPS has significant effect on stock return PT Bank Mandiri Tbk.

Penelitian ini bertujuan untuk menganalisis laporan keuangan terhadap kinerja keuangan pada PT Bank Mandiri (Persero) Tbk Tahun 2021-2023 yang mencakup seputar laporan keuangan dan kinerja keuangan yang terjadi selama periode waktu tersebut. Metode penelitian yang digunakan adalah metode kuantitatif dengan teknik dokumentasi, yaitu pengumpulan data dari jurnal akuntansi yang sudah ada sebelumnya serta laporan keuangan PT Bank Mandiri (Persero) Tbk yang dapat diunduh di situs resmi Bursa Efek Indonesia. Dengan menggunakan 3 metode perhitungan rasio dari analisis laporan keuangan, yaitu rasio likuiditas, rasio solvabilitas, dan rasio rentabilitas (profitabilitas). Hasil penelitian menunjukkan bahwa PT Bank Mandiri (Persero) Tbk memiliki kinerja yang relatif kuat dalam menghasilkan laba dan membayar kewajibannya. Meskipun demikian, ada beberapa yang perlu dipantau lebih lanjut seperti penurunan Net Profit Margin dan fluktuasi dalam Primary Ratio. Dengan pemantauan yang tepat, bank dapat mengambil langkah-langkah untuk meningkatkan kinerja keuangannya dan mengurangi risiko yang mungkin terjadi di masa depan.

ABSTRAK
\nSkripsi dengan judul “Analisis Perbedaan Rasio Keuangan PT Bank Mandiri Tbk dan PT Bank Syariah Mandiri Tbk Periode 2010-2014” ini ditulis oleh Nur Azizah, 2823123111, Fakultas Ekonomi dan Bisnis Islam, Jurusan Perbankan Syariah, Institut Agama Islam Negeri Tulungagung, pembimbing Bapak Dr. Agus Eko Sujianto, SE.,MM.
\nTujuan dari penelitian ini adalah untuk mengetahui kinerja keuangan Bank Syariah dan Bank Konvesional untuk masing-masing rasio keuangannya selama periode 5 tahun yaitu pada tahun 2010 hingga 2014. Rasio keuangan yang digunakan pada penelitian ini terdiri dari CAR, NPL, NIM, ROE, BOPO.
\nRumusan masalah dari penelitian ini adalah (1) Bagaimana rasio keuangan PT Bank Mandiri Tbk periode 2010-2014? (2) Bagaimana rasio keuangan PT Bank Syariah Mandiri Tbk periode 2010-2014? (3) Apakah terdapat perbedaan rasio keuangan antara PT Bank Mandiri Tbk dengan PT Bank Syariah Mandiri Tbk periode tahun 2010-2014?. Adapun yang menjadi tujuan penelitian ini adalah untuk menguji perbedaan rasio keuangan PT Bank Mandiri Tbk dengan PT Bank Syariah Mandiri Tbk periode tahun 2010-2014.
\nPenelitian ini menggunakan pendekatan kuantitatif dengan jenis penelitian komparatif. Data yang digunakan dalam penelitian ini adalah data time series. Berdasarkan dari kriteria sampel yang ditentukan, maka diperoleh dua kelompok penelitian yaitu Bank Syariah diwakili oleh PT Bank Syariah Mandiri Tbk dan Bank Konvesional diwakili oleh PT Bank Mandiri Tbk. Alat analisis yang digunakan untuk membuktikan hipotesis pada penelitian ini adalah independent sample t-test.
\nHasil penelitian dengan alat bantu spss versi 16.0 menyimpulkan bahwa hasil rata-rata (mean) rasio NIM dan ROE PT Bank Syariah Mandiri Tbk lebih baik kinerjanya dibandingkan PT Bank mandiri Tbk, sedangkan untuk hasil rata-rata (mean) rasio CAR, NPL dan BOPO PT Bank Mandiri Tbk menunjukkan lebih baik kinerjanya daripada PT Bank Syariah Mandiri Tbk. Sedangkan dilihat dari hasil pengujian hipotesis dengan uji beda (independent sample t-test) menujukkan adanya perbedaan yang signifikan pada rasio CAR, NPL, ROE dan BOPO. Sedangkan untuk rasio NIM tidak terdapat perbedaan yang signifikan.
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\nKata Kunci: CAR, NPL, NIM, ROE, BOPO

The objectives of this study are as follows: a. To determine the effect of promotion and service on the decision of micro business credit customers at PT BANK MANDIRI (PERSERO) TBK. Tugumulyo Musi Rawas Branch, b. To determine the effect of promotion on the decision of micro business credit customers at PT BANK MANDIRI (PERSERO) TBK. Tugumulyo Musi Rawas Branch, c. To determine the effect of service on the decision of micro business credit customers at PT BANK MANDIRI (PERSERO) TBK. Tugumulyo Musi Rawas Branch. Based on the results of the t test, that variable that promotion variable (X1) on the decision of micro business credit customers at PT. Bank Mandiri (Persero) Tbk. Tugumulyo Musi Rawas branch shows that the value of t = 2.788 is greater than the value of ttable 2,000 with a significant level = 0,000 Ftable = 5.06 and the significance level simultaneously the significance is 0.000 <(α) = 0.05 df = n - k = 57-2-2 - 1 = 54 is 5.06 so Ho is rejected and Ha is accepted, meaning that it shows that together (simultaneously) the independent variables namely promotion and service have a significant influence on the dependent variable, namely the decision of the customer, so that the truth is proven and the hypothesis is acceptable

This study aims to analyze the liquidity ratio, profitability ratio and solvency ratio as a tool in measuring financial performance at Bank Mandiri (Persero) Tbk for the period 2018-2022. The research method used is financial ratio analysis with a focus on Current Ratio, Loan to Deposit Ratio (LDR), return on asset (ROA) ratio, operating expenses to operating income (BOPO), CAR (Capital Adequacy Ratio) and DER Ratio (Debt to Equity Ratio). Overall the results showed that the financial performance of PT Bank Mandiri (Persero) Tbk was classified as healthy in terms of liquidity and solvency. However, the profitability of PT Bank Mandiri (Persero) Tbk still needs improvement.

Tujuan penelitian ini yaitu guna mengetahui pengaruh Capital Adequacy Ratio danBeban Operasional Pendapatan Operasional terhadap Return On Assets pada PT Bank Mandiri(Persero) Tbk Periode 2012-2021. Penelitian ini berjenis kuantitatif asosiatif dan bermaksuduntuk mempelajari pengaruh antara variabel, dua variabel atau lebih. Penelitian ini dilakukan diPT Bank Mandiri (Persero) Tbk periode 2012-2021. Populasi penelitian ini ialah seluruh laporankeuangan PT Bank Mandiri (Persero) Tbk, dengan menggunakan sampel berupa neraca danlaporan laba rugi periode 2012-2021 Metodologi analisis pada penelitian ini menggunakanaplikasi SPSS versi 26. Hasil penelitian ini menandakan secara simultan variabel pengaruh CARdan BOPO berpengaruh signifikan terhadap ROA dan secara parsial variabel CAR berpengaruhsignifikan terhadap ROA, variabel BOPO tidak berpengaruh signifikan terhadap ROA.

Recently, stock investment has become very developed and carried out by people from various backgrounds, not only the successful entrepreneurs but also the younger generation. However, due to its complex, nonlinear, noisy, and chaotic system, stock has characteristics that the higher the targeted potential return, the higher possibility of losses that must be accepted. Predicting the movement of stock prices trend is one of ways to evaluate and anticipate future stock prices. This study proposes a method based on Support Vector Machines (SVM) using Fisher Score as the feature selection to predict stock price trend. Fisher Score is one of the widely used supervised feature selection methods. Fisher score chooses a suboptimal subset of features to identify the most influence one in prediction. While, Support Vector Machines (SVM) deals with nonlinearly separable input, gives impact to the accuracy. As Fisher Score is used as feature selection, on the preprocessing data, this study was using technical analysis with fifteen technical indicators that helped to create the possibly useful features. Daily stock prices of PT Bank Negara Indonesia (Persero) Tbk. (BBNI), PT Bank Rakyat Indonesia (Persero) Tbk. (BBRI), PT Bank Central Asia Tbk. (BBCA), and PT Bank Mandiri (Persero) Tbk. (BMRI) were considered for the analysis. The model evaluation with the proposed method showed that Support Vector Machines with Fisher Score yielded the best result, in regard to the accuracy. Among the four data sources, the best model fit was obtained for data on PT Bank Mandiri (Persero) Tbk. with eleven out of fifteen technical indicators, 70 % of training data, σ = 0.01, and 99.66 % accuracy.

This research aims to determine the level of bank health at PT Bank Mandiri (Persero) Tbk compared to PT Bank Central Asia Tbk using the RGEC (Risk profile, Good Corporate Governance, Earnings, Capital) method for 2018-2020. This type of research uses quantitative descriptive research. The variables used by researchers are RGEC and Bank Health. The research subject is PT. Bank Mandiri (Persero) Tbk and PT. Bank Central Asia Tbk is listed on the Indonesia Stock Exchange (BEI) for 2018-2020. The object of this research is the annual report of the two banks. The data analysis method uses financial report analysis and GCG self-assessment reports for the RGEC method. The research results show that the average composite value for Bank Mandiri is 91% while BCA is 96.67%, meaning that in the RGEC analysis for assessment based on ratios (NPL, LDR, Self Assessment GCG, ROA, NIM, CAR) BCA bank has a higher level of health compared to Mandiri banks. Keywords: Bank Health, Composite Value, RGEC

Penelitian ini bertujuan untuk menganalisis peran aset tetap terhadap struktur neraca PT Bank Mandiri (Persero) Tbk serta implikasinya terhadap transparansi dan akuntabilitas laporan keuangan. Dengan menggunakan pendekatan deskriptif kualitatif dan studi kasus, data yang dianalisis berasal dari laporan keuangan tahunan Bank Mandiri periode 2023 – 2024 serta literatur terkait standar akuntansi, yaitu PSAK 16 dan PSAK 48. Hasil penelitian menunjukkan bahwa proporsi aset tetap ke total aset cenderung menurun, tetapi nilai absolut terus meningkat.Penurunan proporsi ini mencerminkan pergeseran strategi bank yang lebih menitikberatkan pada pengembangan aset produktif seperti kredit. PT Bank Mandiri telah menerapkan PSAK 16 dan PSAK 48 untuk pengelolaan aset tetap, termasuk depresiasi dan pengakuan penurunan nilai aset. Meskipun demikian, peningkatan pengungkapan rinci terkait aset tetap masih diperlukan untuk mendukung transparansi. Temuan ini menegaskan pentingnya pengelolaan aset tetap yang efektif dalam menjaga kesehatan struktur neraca dan mendukung keberlanjutan kinerja keuangan bank.

Imposition Strategy Withdrawal Fees at Counter Teller can Reduce Queue Length at PT Bank Mandiri (Persero) Tbk. This study was conducted to intend the application of the queue strategy at PT Bank Mandiri (Persero) Tbk also to see the supporting factors of this strategy. As the Bank with the largest assets, Bank Mandiri, must take serious to manage these assets in order to become the most profitable company. With the growing number of customers from year to year, management must find the way to overcoming a queue that will not be accommodated for a long time, especially for small branches that have large customers. Companies must be able to anticipate this because competitors will do the same. The company wish that the new strategy will make customers more comfortable to become BANK Mandiri customers. PT Bank Mandiri (Persero) Tbk will continue to monitor market developments so that the company is still leading from its competitors and it is expected that in the future the company will be able to have more value than other banks.

This study aims to analyze the implementation of Good Corporate Governance (GCG) principles at PT Bank Mandiri (Persero) Tbk as one of the state-owned banks that plays a strategic role in the Indonesian banking system. The implementation of GCG is crucial in maintaining public trust, improving performance, and ensuring business sustainability in the banking sector. This research employs a qualitative method with a descriptive approach, focusing on secondary data analysis obtained from annual reports, corporate governance reports, sustainability reports, and official information published on the website of PT Bank Mandiri (Persero) Tbk. The results indicate that Bank Mandiri has consistently implemented the principles of transparency, accountability, responsibility, independency, and fairness in its corporate governance system. These principles are reflected in information disclosure practices, clear organizational structures, regulatory compliance, independent decision-making processes, and fair treatment of all stakeholders. Overall, the implementation of GCG at PT Bank Mandiri (Persero) Tbk contributes positively to strengthening internal control systems, enhancing public trust, and supporting the stability and sustainability of banking operations.