Abstract:Abstract: The realization of credit proposed by customers is one of the essential factors for a bank. Moreover, especially during the Covid-19 pandemic, credit realization shows the business conditions of prospective borrowers,…
rowers, whether they are in good condition or not. So, it is crucial to predict how many new debtors will achieve. In this article, forecasting the number of new debtors uses the Simple Moving Average and Double Exponential Smoothing methods based on actual data on the number of new debtors per month for 2019-2021. Furthermore, the performance of the two methods is compared by comparing the Mean Absolute Deviation and Mean Square Error values. The comparison results conclude that the Simple Moving Average method is better than the Double Exponential Smoothing for predicting the number of new debtors.
Keywords: double exponential smoothing; mean absolute deviation; mean square error; simple moving average; forecasting.
Abstrak: Realisasi kredit yang diajukan oleh nasabah adalah salah satu faktor yang penting di dunia perbankan. Terlebih disaat adanya pandemi Covid-19, realisasi kredit memperlihatkan kondisi usaha para calon debitur, apakah dalam keadaan baik atau tidak. Sehingga penting untuk memprediksi berapa capaian jumlah debitur baru. Dalam artikel ini dilakukan peramalan jumlah debitur baru dengan metode Simple Moving Average dan Double Exponential Smoothing berdasarkan data aktual jumlah debitur baru per bulan tahun 2019-2021. Selanjutnya, dilakukan perbandingan performa kedua metode tersebut dengan cara membandingkan nilai dari Mean Absolute Deviation dan Mean Square Error. Hasil perbandingan yang diperoleh mengarah pada sebuah kesimpulan, yaitu metode Simple Moving Average lebih baik daripada Double Exponential Smoothing untuk meramalkan jumlah debitur baru
Kata kunci: double exponential smoothing; mean absolute deviation; mean square error; simple moving average; peramalan.
Abstract:Abstract: Non-performing loan (NPL) is a risk that credit unions must face and to avoid that, prospective debtors need to be surveyed. With previous loan data, support vector machine and naïve bayes can be used as classification…
ssification methods to give a decision about NPL. We use a data set with 61 data and process the data with orange 3.30 application to see the difference between SVM using linear (SVM-L), polynomial (SVM-P), RBF (SVM-R) and sigmoid (SVM-S) kernel with naïve bayes. We use a cross validation technique with various folds to measure the classification results and a convusion matrix to measure the data training classification results. Naïve bayes scores the highest in terms of accuracy and SVM-R scores the highest in terms of F1, precision and recall. SVM-P scores the lowest in terms of accuracy, F1, precision and recall. Naïve bayes scores the highest in terms of proportion of predicted for true negative class and proportion of actual for true positive class. SVM-S scores the highest in terms of proportion of predicted for true positive class and proportion of actual for true negative class. SVM-P scores the lowest in both proportion of predicted and proportion of actual.
Keywords: classification; naïve bayes; non-performing loan; support vector machine
Abstrak: Kredit macet merupakan resiko yang sering dialami koperasi simpan pinjam, sehingga perlu dilakukan survei terhadap calon debitur agar kredit menjadi sehat. Dengan menggunakan data pemberian kredit sebelumnya, support vector machine dan naïve bayes digunakan sebagai metode klasifikasi untuk memberikan keputusan macet atau tidaknya kredit anggota koperasi Mutiara Sejahtera. Data set yang berjumlah 61 data diolah menggunakan aplikasi Orange 3.30 dan dilihat perbandingan antara metode SVM dengan kernel linear, polynomial, RBF dan sigomoid dengan metode naïve bayes. Cross validation dengan jumlah fold bervariasi digunakan sebagai nilai ukur klasifikasi dan convusion matrix digunakan sebagai nilai ukur klasifikasi data training. Hasil yang diperoleh adalah naïve bayes memiliki nilai accuracy tertinggi dan SVM kernel RBF memiliki nilai F1, precision dan recall tertinggi. SVM kernel polynomial memiliki nilai terendah untuk accuracy, F1, precision dan recall. Naïve bayes memiliki nilai tertinggi untuk proportion of predicted (PoP) kelas true negative dan proportion of actual (PoA) kelas true positive. SVM kernel sigmoid memiliki nilai tertinggi untuk PoP kelas true positive dan PoA kelas true negative. SVM kernel polynomial memiliki nilai terendah baik untuk PoP maupun PoA true negative dan kelas true positive.
Kata kunci: klasifikasi; kredit macet; naive bayes; SVM
Abstract:The legal position between the debtor and the debtor in the bond agreement, where the borrower has the right to return proof of ownership of the collateral after the loan payment, while the borrower has the right to a higher…
gher bond amount, and the billing period in accordance with the guarantor who is entitled to payment plus principal (interest) with the borrower's monthly installments including compensation in the event of late payment. Settlement of disputes related to credit agreements, where the person concerned can arbitrate the agreement in question. Legal observations made by the judge in the decision of Case No. 70 / Pdt.G / 2020 / PN.Mdn, where the judge is of the opinion that the plaintiff has won legally there is no action taken by the Defendant on behalf of Mas Arif Fauzan and verstek. The issuance of this decision is binding on both parties because it has permanent legal force ( incracht ) and has become a new law for the parties. The judge made the decision based on previous legal opinions and the judge's belief that presenting a legitimate and persuasive action is a breach of contract.
Abstract:The legal position between the debtor and the debtor in the bond agreement, where the borrower has the right to return proof of ownership of the collateral after the loan payment, while the borrower has the right to a higher…
gher bond amount, and the billing period in accordance with the guarantor who is entitled to payment plus principal (interest) with the borrower's monthly installments including compensation in the event of late payment. Settlement of disputes related to credit agreements, where the person concerned can arbitrate the agreement in question. Legal observations made by the judge in the decision of Case No. 70 / Pdt.G / 2020 / PN.Mdn, where the judge is of the opinion that the plaintiff has won legally there is no action taken by the Defendant on behalf of Mas Arif Fauzan and verstek. The issuance of this decision is binding on both parties because it has permanent legal force ( incracht ) and has become a new law for the parties. The judge made the decision based on previous legal opinions and the judge's belief that presenting a legitimate and persuasive action is a breach of contract
Abstract:The Suspension of Debt Payment Obligations (PKPU) is a legal procedure that allows debtors who are unable, or expect to be unable, to continue paying their due and collectible debts to seek legal recourse. Debtors in such…
h situations can initiate legal action during the PKPU process. However, the question arises: what is the legal certainty for creditors following the Constitutional Court's decision that encourages debtors to pursue legal action? This study uses a descriptive normative research method to analyze the legal issues related to such actions. The findings indicate that the legal recourse available to debtors in specific circumstances significantly impacts creditors. This leads to uncertainties regarding payment, especially if the debtor decides to file for legal action. Additionally, these uncertainties can affect the creditor's business operations. The Constitutional Court's decision, subsequently reinforced by a Circular Letter from the Supreme Court, does not adequately address the gaps in legal certainty faced by creditors. This situation complicates creditors' efforts to secure their rights, which are the obligations of the debtor.