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All Journal Jurnal Sains Dasar International Journal of Supply Chain Management International Journal of Business, Economics, and Social Development International Journal of Research in Community Services International Journal of Quantitative Research and Modeling International Journal of Ethno-Sciences and Education Research Jurnal Matematika Integratif

Dwi Susanti

Dept. MatematikaFMIPA Universitas Padjadjaran Bandung, Indonesia

Author-ID : 2614785

Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Prediction of Tourist Arrivals to the Island of Bali with Holt Method of Winter and Seasonal Autoregressive Integrated Moving Average (SARIMA) Agus Supriatna; Elis Hertini; Dwi Susanti; Sudradjat Supian
Jurnal Sains Dasar Vol 6, No 2 (2017): October 2017
Publisher : Faculty of Mathematics and Natural Science, Universitas Negeri Yogyakarta

The tourism sector is one of the contributors of foreign exchange is quite influential in improving the economy of Indonesia. The development of this sector will have a positive impact, including employment opportunities and opportunities for entrepreneurship in various industries such as adventure tourism, craft or hospitality. The beauty and natural resources owned by Indonesia become a tourist attraction for domestic and foreign tourists. One of the many tourist destination is the island of Bali. The island of Bali is not only famous for its natural, cultural diversity and arts but there are also add the value of tourism. In 2015 the increase in the number of tourist arrivals amounted to 6.24% from the previous year. In improving the quality of services, facing a surge of visitors, or prepare a strategy in attracting tourists need a prediction of arrival so that planning can be more efficient and effective. This research used Holt Winter's method and Seasonal Autoregressive Integrated Moving Average (SARIMA) method to predict tourist arrivals. Based on data of foreign tourist arrivals who visited the Bali island in January 2007 until June 2016, the result of Holt Winter's method with parameter values α=0.1 ,β=0.1 ,γ=0.3 has an error MAPE is 6,171873. While the result of SARIMA method with (0,1,1)〖(1,0,0)〗12 model has an error MAPE is 5,788615 and it can be concluded that SARIMA method is better.Keywords: Foreign Tourist, Prediction, Bali Island, Holt-Winter’s, SARIMA.

Comparison of Performance from Green Bonds and Conventional Bonds Traded on the Indonesia Stock Exchange Wiliya Wiliya; Dwi Susanti; Sukono Sukono
International Journal of Business, Economics, and Social Development Vol 2, No 4 (2021)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijbesd.v2i4.169

Bonds are types of securities in the form of a debt acknowledgment letter for loan money from the public in a certain form, but with a minimum tenor of three years and promise of interest rewards in which the amount and payment have been determined in advance. Looking at the current global problems regarding degradation of environmental equality and climate change, bonds were developed where the proceeds of issuance were exclusively applied to finance environmentally friendly projects, is green bonds. However, the issuance of green bonds in Indonesia is slight. This research aims to find out the comparison of individual performance of green bonds and conventional bonds traded on the Indonesia Stock Exchange. The method used to measure performance is Sharpe Ratio. The result indicates that performance of green bond worse than conventional bond. This research can be used as a consideration for investor in making investment based on performance.

WhatsApp Usage Training in Marketing Home-Based Products for Benzo Amanah Cooperative Members Bandung Indonesia Dwi Susanti; Mochamad Suyudi
International Journal of Research in Community Services Vol 1, No 3 (2020)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v1i3.106

Currently, WhatsApp has become one of the categories of social networking that has been widely used by most people in Indonesia to share information. WhatsApp is believed not only to benefit online shops, retailers, restaurants, travel companies, and e-commerce but also to be one of the most effective tools in building a business brand. WhatsApp is not only in demand by men and women who are young entrepreneurs but also for communities who have a passion for developing businesses from home (home business). Community Service Activities that have been held on Tuesday, January 11, 2020, are carried out to socialize the use of the WhatsApp social network for members of the Bandung Indonesia Benzo Amanah Cooperative. The training was carried out using a 2-hour classical method in the form of making WhatsApp Group, delivering core material by expert speakers, and sharing experiences to further motivate Members of the Benzo Amanah Cooperative Bandung Indonesia to become a home mompreneur.

Supply Chain Strategy for Measuring Risk through Capital Allocation: An Application of Incremental and Activity Based Methods Sukono Sukono; Stanley Pandu Dewanto; Dwi Susanti; Candra Budi Wijaya; Nurfadhlina Abdul Halim; Jumadil Saputra
International Journal of Supply Chain Management Vol 9, No 3 (2020): International Journal of Supply Chain Management (IJSCM)
Publisher : International Journal of Supply Chain Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1117.115 KB)

the insurance company needs a good strategy for ensuring its existence and ability to survive in the insurance world competition with reducing the chance of loss risk. Thus, this paper is written to investigate the capital allocation for measuring risk via a mathematical approach namely Value-at-Risk (VaR) so that insurance companies can find out the magnitude of the worst risks that may occur. The amount of capital allocation analysed using Incremental and Activity-Based Methods. Also, this study uses the simulation data of random numbers obtained from the calculation of premium and claims for insurance programs. The results of the analysis showed that a positive value for the diversification process. It indicates that the insurance company has met its obligations. The total risk of all portfolio returns is IDR19,013,620,433.00. Using the capital allocation analysis, this study found that the Portfolio 1 as much as IDR4,938,935,765.00, Portfolio 2 is IDR4,787,472,037.00, and Portfolio 3 as big as IDR5,544,572,898.00.

Study on Structural Equation Modeling for Analyzing Data M. Ihsan Khairi; Dwi Susanti; Sukono Sukono
International Journal of Ethno-Sciences and Education Research Vol 1, No 3 (2021)
Publisher : Research Collaboration Community (RCC)

Structural Equation Model (SEM) is a combination of two separate statistical methods, namely factor analysis developed in psychology and psychometry and simultaneous equation model developed in econometrics. Factor analysis was first introduced by Galton in 1869 and Pearson (Pearson and Lee, 1904). Spearman's (1904) research is the development of a general factor analysis model in his research relating to the structure of mental abilities, Spearman stated that the intercorrelation test between mental abilities can determine general ability factors and special ability factors. SEM is a combination of factor analysis and path analysis into one comprehensive statistical method. Path analysis itself is the forerunner of the structural equation of Sewwl Wright's research in the field of biometrics. Wright's contribution is to be able to show that the correlation between variables is related to the parameters of a model described by a path (path diagram). In SEM there are 2 variables, namely latent variables (exogenous and endogenous) and indicator variables. SEM has 2 equation models, namely the measurement equation model and the structural equation model. SEM also has 2 errors, namely the error for the measurement equation model and the error for the structural equation model. In general, SEM is formed from the relationship between latent variables and their respective indicator variables. To test whether the existing indicator variables are valid indicators for measuring the latent construct, Confirmatory Factor Analysis (CFA) is used. Data analysis with SEM must meet the existing SEM assumptions. The model feasibility test is carried out based on the goodness of fit criteria. The stages in SEM analysis are theoretical model development, flow chart drawing, flow chart conversion into equation form, input matrix and model parameter estimation techniques, model problem identification, evacuating model parameter estimates, model interpretation and model modification.

Company Stock Performance Analysis on IDX ESG Leaders Index Using the ARIMA-GARCH Model Hazelino Rafi Pradaswara; Dwi Susanti; Sukono Sukono
International Journal of Quantitative Research and Modeling Vol 3, No 3 (2022)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v3i3.347

Stocks are one of the most popular forms of investment. In investing stocks, it is necessary to know the movement of stock prices and the investment risks that may occur. The purpose of this study is to predict the level of risk, see the characteristics of stock returns, and whether the ESG Risk Rating makes the company's stock performance better. The models used to predict stock returns are Auto Regressive Integrated Moving Average (ARIMA) and Generalized Autoregressive Conditional Heteroscedasticty (GARCH), and Value at Risk (VaR) is used to predict risk. Based on the research, the potential loss for Bank BCA is IDR29.800.000,00 and Bank Mandiri is IDR33.600.000,00 with the assumption that an investor invests as much as IDR1.000.000.000,00. In addition, Bank BCA has a lower ESG Risk Rating than Bank Mandiri, but has a better performance.

Systemic Risk Analysis of Some Sharia Share in Jakarta Islamic Index Tisa Annisa; Dwi Susanti; Jumadil Saputra
International Journal of Business, Economics, and Social Development Vol 3, No 4 (2022)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijbesd.v3i4.351

When investing, investors tend to only pay attention to the Risk of the value owned by an individual stock (Value at Risk) when there is a risk of another, namely systemic Risk. Systemic Risk is the Risk that has the overall effect on the Risk of another. Systemic Risks of Islamic stock issues are discussed in this study. This study analyzed whether there is any significant relationship between individual Risk (Value at Risk) in Islamic stocks with systemic Risk. Systemic Risk is calculated using the Conditional Value at Risk (CoVaR) with an estimated Quantile Regression Model (QRM). Based on the data processing results, the stock with the highest Value at Risk is PT Astra Agro Lestari, Tbk (AALI), whereas the stocks with the highest systemic risk value are PT. Astra International, Tbk (ASII). This indicates no significant relationship between the Value at Risk and Systemic Risk.

PT Tata Makmur Sejahtera's Petty Cash Report Analysis Thariq Ahmad Rasyid; Dwi Susanti
International Journal of Research in Community Services Vol 3, No 4 (2022)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v3i4.348

Companies in the distribution sector cannot be separated from operational activities. These activities incur small nominal costs, requiring a petty cash report. PT. Tata Makmur Sejahtera is one of the companies engaged in this field related to the ability to cover current debts. The company's ability is measured by calculating the ratio using the current ratio and cash ratio. The analysis results show that in January, the current ratio is 0.9616, in February, it is 1.1933, in March, it is 0.8917, and in April, it is 1.0566, and the company's cash ratio is 1.0169. From the calculation of the ratio carried out, it can be concluded that the ability of PT. Tata Makmur Sejahtera covers current debts differently each month. However, the ability to cover current debt during the period studied indicates that the company can cover the current debt.

Investment Portfolio Optimization With Mean-Variance Investment Portfolio Optimization Model Without Risk Free Assets Wilda Nur Rahmalia; Dwi Susanti; Rizki Apriva Hidayana
International Journal of Quantitative Research and Modeling Vol 3, No 4 (2022)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v3i4.360

Forming a portfolio is a strategy that is often carried out by investors in risky investment conditions. Five non-risk free stocks were selected, namely PTBA, IPCM, ANTM, BUMI, and ADMF. The purpose of forming this portfolio is to determine the composition of the weight (proportion) of the allocation of funds in each of these shares in forming the optimum portfolio. The method used is the Mean-Variance investment portfolio optimization model without risk-free assets using the Markowitz approach. Based on the results obtained by the optimum portfolio of the Mean-Variance model without risk-free assets, the average return is 0.00105 and the variance is 0.000067 with a portfolio ratio value of 14.65256. The proportion of fund allocation to PTBA shares = 0.28872; IPCM=0.02484; ANTM=0.00016; EARTH=0.13501; and ADMF=0.55126. It is hoped that the formation of this portfolio optimization model will be useful as an alternative for investors in optimizing the investment portfolio to make it more profitable in the future.

Characteristic Factors of Health Micro Insurance Against Considerations in Selection of Health Service Facilities Radya Pratiwi Serila; Dwi Susanti; Riaman Riaman
International Journal of Research in Community Services Vol 4, No 1 (2023)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v4i1.389

Indonesia is still faced with a series of health problems. One of the causes of health problems is the expensive cost of treatment. An alternative that people can choose for health financing is to have health micro-insurance aimed at lower-middle-class households. The purpose of this study was to identify factors characteristic of micro-insurance, against the consideration of choosing health service facilities. The data used were primary data obtained through a questionnaire of 220 health micro-insurance participants. This research was analyzed with a quantitative descriptive approach. The results of the analysis show that the characteristics of hospitals that are registered as good quality micro-insurance services and responsive to providing referrals to hospitals, when there are patient complaints are the main factors in considering the choice of health service facilities.

Co-Authors Agus Supriatna Candra Budi Wijaya Elis Hertini Eman Lesmana Firdaniza Firdaniza Hazelino Rafi Pradaswara Herlina Napitupulu Jumadil Saputra Jumadil Saputra Luki Setiawan M. Ihsan Khairi Mochamad Suyudi Nurfadhlina Abdul Halim Radya Pratiwi Serila Renata Philipa Plate Riaman Riaman Rizki Apriva Hidayana Stanley Pandu Dewanto Sudradjat Supian Sukono Sukono Thariq Ahmad Rasyid Tisa Annisa Wilda Nur Rahmalia Wiliya Wiliya Yuyun Hidayat

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