Eneng Nur Hasanah, Eneng Nur
Sekolah Bisnis Dan Manajemen, Institut Teknologi Bandung

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INFLATION, INTEREST RATE AND CREDIT RATE IN INDONESIA Eneng Nur Hasanah
Jurnal Manajemen Indonesia Vol 17 No 2 (2017)
Publisher : Fakultas Ekonomi dan Bisnis, Telkom University.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1379.888 KB) | DOI: 10.25124/jmi.v17i2.1064

Abstract

Infl asi akan mempengaruhi tingkat suku bunga. Ketika infl asi naik maka tingkat suku bungaakan meningkat begitupun sebaliknya, ketika infl asi turun maka tingkat suku bunga akanmenurun juga. Tidak seperti negara lain, Indonesia memiliki keadaan yang unik, terkadangmeskipun BI Rate turun namun tingkat kredit tidak turun. Jadi, berdasarkan kasus ini, makalahini mengkaji hubungan Infl asi, Suku Bunga dan Tingkat Kredit. Dengan menggunakanmodel Vasicek, paper ini mengevaluasi fi tting long-term, speed and volatility dari setiaptingkat kredit berdasarkan kategori bank di Indonesia. Kemudian menilai tingkat fl uktuasipada masing-masing bank. Tingkat masing-masing kategori bank sangat fl uktuasi namuntidak lebih dari 0,005 dan tidak lebih rendah dari 0,005.
Comparison of Modeling Volatility of Indonesia Banks Using ARCH, GARCH, TARCH and EGARCH Eneng Nur Hasanah
Jurnal Manajemen Bisnis Performa Vol 15, No 2 (2018)
Publisher : Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/performa.v0i0.4422

Abstract

ABSTRACT According to the rating of PEFINDO, there are 10 biggest Banks in Indonesia which dominate 65.2% of the total asset. From this rating, writer examine the best fitted volatility model using ARCH, GARCH, TARCH and EGARH. The result from R-Squared, AIC and SIC, all of the bank have good fitted volatility with EGARCH model, but when writer double checking for the EGACRH model with time series diagnostic checking and fitted model performance measurement, the result show that not all of the banks is fitted volatility by EGARCH model. ABSTRAK  Menurut peringkat PEFINDO, ada 10 Bank terbesar di Indonesia yang mendominasi 65,2% dari total aset. Dari peringkat ini, penulis menguji model volatilitas yang paling cocok menggunakan ARCH, GARCH, TARCH dan EGARH. Hasil dari R-Squared, AIC dan SIC, semua Bank memiliki volatilitas yang sesuai dengan model EGARCH, tetapi ketika penulis memeriksa dua kali untuk model EGACRH dengan pemeriksaan diagnostik deret waktu dan pengukuran fitted model performance, hasilnya menunjukkan bahwa tidak semua Bank masuk ke dalam kategori volatilitas dengan model EGARCH
Hedging Performance of Indonesia Exchange Rate Eneng Nur Hasanah
Jurnal Manajemen Bisnis Performa Vol 15, No 1 (2018)
Publisher : Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/performa.v0i1.3609

Abstract

The fluctuation of exchange rate very given the impact to the situation of Indonesia economic, it will give impact to the economics of Indonesia, with the case, this paper examines the hedging ratio performance by using The Constant Conditional Correlation (CCC) of Bivariate Generalized Autoregressive Conditional Heteroscedasticity (BGARCH). The result of hedging ratio performance of Indonesia exchange rate is very low, it means that Indonesia almost never mitigate Rupiah (IDR).
Effect Of Financial Technology On Cash Holding In Indonesia Using Autoregressive Distributed Lag (ARDL) Diputra, Sachio Senna; Zen, Tuntun Salamatun; Hasanah, Eneng Nur
Journal Integration of Management Studies Vol. 1 No. 2 (2023)
Publisher : Integrasi Sains Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58229/jims.v1i2.94

Abstract

The rapid proliferation of financial technology (Fintech) has revolutionized the landscape of financial services globally, presenting digital alternatives to conventional banking and payment methods. Indonesia has emerged as a noteworthy adopter of Fintech, driven by the widespread usage of smartphones and government initiatives to foster financial inclusion. Nonetheless, the empirical research concerning the association between Fintech adoption and cash-holding behaviour in Indonesia remains limited. This study explores Fintech's influence on individuals' cash holding patterns in the country, considering direct indicators such as debit cards, credit cards, electronic money, mobile banking, and internet banking. A time-series analysis covering the period from M5 2013 to M3 2023, based on secondary data from the Bank Indonesia Statistic Database, is employed to achieve this research objective. The analytical framework utilizes the Autoregressive Distributed Lag (ARDL) bounds testing approach, accounting for the explanatory variables' concurrent and lagged effects. The empirical findings reveal a significant positive relationship between debit cards, mobile banking, and internet banking usage in short-term cash-holding behaviour. In contrast, credit card usage exhibits a negative and statistically significant association with long-term cash holding. These results contribute to a comprehensive understanding of how Fintech adoption shapes cash-holding behaviour in Indonesia and provide valuable insights into the country's transition toward a cashless society.
The Effect of Financial Contents on Social Media Towards Financial Literacy on Generation Z in Sumatra and Java Angelica, Agnes Enya; Zen, Tuntun Salamatun; Hasanah, Eneng Nur
Journal of Consumer Studies and Applied Marketing Vol. 1 No. 1 (2023)
Publisher : Integrasi Sains Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58229/jcsam.v1i1.47

Abstract

Contents with the topics around finances in social media can be utilized to improve financial literacy among Generation Z, considering that Generation Z took the highest proportion compared to other generations in Indonesia and since Generation Z has the highest internet penetration rate and spent the most time on the internet compared to other generations. This research aims to determine the impact of finances on financial literacy in Generation Z, the most significant factor of financial content that affects financial literacy, and to find out which social media and content type is the most impactful. The financial content on social media is measured by the number of social media and content types, the number of creators and topics watched, and duration, while financial literacy is measured by financial attitude, behavior, and knowledge. This research uses quantitative methods, and the data is collected using an online questionnaire. This research gathered 287 samples from Java and Sumatra, Indonesia, and 222 are financial content viewers. The multi-linear regression result found that financial contents affect financial literacy by 20.4%. The total amount of financial topics watched has the most significant impact on financial literacy, while the total amount of social media used to watch financial content has a significant negative impact. The ANOVA result discovered that people who are most often use YouTube to view financial content have the best financial literacy score average.
INFLUENCE OF CONSUMERS KNOWLEDGE TO SHADAQAH PAYING DECISION AT BAITUL MAAL UNISBA Tresnati, Ratih; Sevriana, Lufthia; Hasanah, Eneng Nur
IKONOMIKA Vol 1 No 2 (2016)
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/febi.v1i2.146

Abstract

Abstract- Shadaqah has a very important role to every human when we leave this world, therefore moslem community build a foundation to take care of their shadaqah from Muzaki. Unisba as an Islamic University, also have organization to collect, manage, and allocate funding from shadaqah, named Baitul Maal of Unisba. There are 419 lecturers and employees in Unisba but there are only 27% from them who decide to become muzzaki at Baitul Maal of Unisba. On average, the Collected Fund at Baitul Maal of Unisba  per month  is only as many as Rp 3.000.000,-. Researchers  assumed that it caused by lack of consumers knowledge about Baitul Maal of Unisba programs. Consumers knowledge consists of attributes, benefit, and satisfaction to the products or services. A total of 30 questionnaires from offline surveys has been analysed using “several statistical analysis”, including multiple regression. Result of this research shows us that satisfaction to the products or services is the most dominant variable that influence lecturers and employees to become muzzzaki at Baitul Maal of Unisba.
Financial Robo-Advisor: Learning from Academic Literature Hasanah, Eneng Nur; Wiryono, Sudarso Kaderi; Koesrindartoto, Deddy P.
Jurnal Minds: Manajemen Ide dan Inspirasi Vol 10 No 1 (2023): June
Publisher : Management Department, Universitas Islam Negeri Alauddin Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/minds.v10i1.33428

Abstract

Financial Robo-Advisor is the technology that integrates machine learning and self-identification to determine investment decisions. This study explores the financial robo-advisor based on bibliometric analysis and a systematic literature review. The method used three steps: determining the keyword, bibliometric analysis of literature metadata using VOSviewer, then collecting and analysing the articles. The bibliometric analysis results show five cluster keywords defined with different colors. In the network visualization, the robo-advisor connects to other keywords: investment, fintech, and artificial intelligence. Furthermore, the systematic literature review shows that the articles are divided into seven research objectives: (1) Law, Regulation, and Policy; (2) Investment Literate and Education; (3) Offered Services; (4) Present Risk-Portfolio Matching Technology; (5) Optimal Portfolio Methods; (6) Human-Robo Interaction; (7) Theoretical Design and Gap. Furthermore, this study can be used by academicians and practitioners to find out about robo-advisors based on an academic perspective.
COMPARATIVE ANALYSIS OF TECHNICAL AND TECHNICAL-FUNDAMENTAL MODELS FOR STOCK PRICE PREDICTION Sabrinanur Ramadhani; Eneng Nur Hasanah
Jurnal Manajemen dan Bisnis Performa Vol. 23 No.1 (2026)
Publisher : UPT Publikasi Ilmiah UNISBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/performa.v23i1.9440

Abstract

This study evaluates the predictive accuracy and risk-adjusted performance of Technical-Only (TO) and Technical-Fundamental (TF) forecasting models within the Indonesian equity market. Analysis of forecasting errors reveals that while the TO model offers superior consistency across diverse assets with a Mean Absolute Percentage Error (MAPE) consistently below 3.40%, the TF model provides enhanced precision for commodity-linked stocks like ANTM (1.30% error) but suffers from significant instability in speculative segments such as DEWA (10.40% error). Furthermore, while the TO model generated a higher nominal annualized return of 123.33%, the TF model demonstrated superior risk-adjusted efficiency by achieving a Sharpe Ratio of 1.65, matching the actual market benchmark and outperforming the TO model's 1.54. Consequently, the results suggest that while technical indicators provide a robust baseline for general price forecasting, the integration of fundamental filters is essential for achieving optimal risk-managed portfolio performance
Financial Performance and Financial Distress Assessment of PT Krakatau Steel (Persero) Tbk (2020–2024) Muhammad Avicenna Rabama; Eneng Nur Hasanah
MANAJEMEN Vol. 6 No. 1 (2026): Mei : MANAJEMEN (Jurnal Ilmiah Manajemen dan Kewirausahaan)
Publisher : LPPM Politeknik Pratama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/gd06qq09

Abstract

The financial performance and financial distress status of PT Krakatau Steel (Persero) Tbk with stock code KRAS will be evaluated in this research for a five-year period during 2020 to 2024. Although KRAS experienced a temporary financial recovery in 2020 following debt structuring, they continued not to make money and raise concerns over their financial sustainability. The financial performance analysis of KRAS will be conducted in this research. The research adopts a case study methodology using a quantitative technique with secondary data obtained from financial statements where financial performance is measured using financial ratios with a focus on profitability, liquidity, solvency, and activity, with DuPont analysis used in combination with Return on Equity analysis. Financial distress is measured using a total of three major Financial Distress models: Altman Z-Score, Ohlson O-Score, and Zmijewski X-Score with comparisons based on ASEAN Steel firms. The results show a serious problem in profit margins, with Net Profit Margin, Return on Assets, and Return on Equity becoming negative in 2023-2024 because of increasing production costs, reduced pricing power, weak efficiency, and high leverage levels. Liquidity remains a persistent problem, although leverage positions appear to be high because of financial distress. The DuPont analysis shows that profit margins is declining from Return on Equity, which is worsened by high leverage positions. All three distress models classify KRAS as distressed during all years, which shows increasing distress in the last two years. The practical significance of this study lies in the fact that it’s empirical data of how financial performance analysis and financial distress analysis can be integrated and used in state-owned companies in capital-intensive sectors. The results can be used as a source of evidence-based insight into which managers and policymakers can rely on when designing a strategy for such companies.