Articles
Hubungan Peran Ibu dengan Pengetahuan Siswi tentang Menstrual Hygiene di Sekolah Dasar Wilayah Kelurahan Salaman
Lukita, Salsabila Arum;
Susanti, Dwi
HEALTHY BEHAVIOR JOURNAL Vol. 2 No. 2 (2024): Healthy Behavior Journal
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Jenderal Achmad Yani Yogyakarta
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DOI: 10.30989/hbj.v2i2.1491
Background : Menstruation is a sign of puberty in women and requires proper management to prevent health and social problems. Lack of knowledge can cause problems with mothers playing a crucial role in menstrual education. Mothers are one of the first sources of information on menstrual hygiene. Objective : To find out the relationship between the role of mothers and students' knowledge about menstrual hygiene at the Salaman Village Regional Elementary School. Methods : Quantitative research with correlational descriptive design with an approach cross sectional. Use Total sampling Where the sample taken was 33 respondents, the measuring tools used were the mother's role questionnaire and the knowledge questionnaire menstrual hygiene, with a test Somers'd. Results : The results were obtained from 33 respondents aged 11 years as many as 17 respondents (51.5), the most menstruating age was 10 years old as many as 20 respondents (60.6%), the most respondents were class VI as many as 18 respondents (54.5%), the most respondents were 31-40 years old as many as 25 respondents (75.8%), the last education of the most respondents was high school as many as 22 respondents (66.7%), with 19 respondents (57.6%) entering the good category of motherhood and as many as 15 respondents (45.5%) entering the knowledge menstrual hygiene enough. Conclusion : There is a relationship between the role of mothers and the knowledge of female students about menstrual hygiene at the Elementary School in sekolah dasar wilayah kelurahan salaman with p-value 0,013 (p<0.05).
Analysis The Effect Of Volatility On Potential Losses Mutual Fund Investments Using The ES-GARCH Method
Pamungkas, Abram Chandra Aji;
Subartini, Betty;
Susanti, Dwi
International Journal of Quantitative Research and Modeling Vol 5, No 3 (2024)
Publisher : Research Collaboration Community (RCC)
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DOI: 10.46336/ijqrm.v%vi%i.594
Investing in mutual funds has become a popular choice for investor who looking to participate in the capital markets with more diversified risk. However, the success of mutual fund investments depends on investors understanding the potential losses and opportunities that may arise during the investment period. Analyzing the risk of mutual fund investments is fundamental in helping investors comprehend potential losses. Therefore, research is conducted to understand potential losses by estimating asset price volatility and determining the maximum possible losses. The Expected Shortfall (ES) method proves useful in measuring downside risk and extreme loss potential in investments, but it is less effective in addressing nonlinear trends and the complexity of volatility patterns. Hence, a combination of the Expected Shortfall (ES) and Generalized Autoregressive Conditional Heteroskedasticity (GARCH) methods is employed to measure the risk of mutual fund investments. The research findings indicate that volatility has a positive impact on Value at Risk (VaR), and the potential maximum losses (ES) increase with higher volatility, indicating a greater risk.
Value-at-Risk Estimation Method Based on Normal Distribution, Logistics Distribution and Historical Simulation
Susanti, Dwi;
Sukono, Sukono;
Verrany, Maria Jatu
Operations Research: International Conference Series Vol. 1 No. 1 (2020): Operations Research International Conference Series (ORICS), March 2020
Publisher : Indonesian Operations Research Association (IORA)
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DOI: 10.47194/orics.v1i1.19
This paper discusses the risk analysis of single stock and portfolio returns. The stock data analyzed are BNI, BRI shares and portfolio. After obtaining a stock return, value at risk (VaR) will be estimated using the normal distribution approach, logistic distribution, and historical simulation. From the VaR results, a backtest is then conducted to test the validity of the model and the backtest results for BNI and the portfolio produce a smaller QPS on the historical simulation method compared to the normal distribution and logistics distribution approaches. This shows that BNI VaR and VaR portfolios with the historical simulation method are more consistent than other methods. While the backtest results for BRI produced the smallest QPS on the normal distribution approach compared to the logistical distribution and historical simulation approaches. This shows that the VaR BRI using the normal distribution approach is more consistent than the other methods.
Value-at-Risk Estimation with Normal Distribution Approach on Stock Return of BBNI and BBRI
Susanti, Dwi
Operations Research: International Conference Series Vol. 3 No. 4 (2022): Operations Research International Conference Series (ORICS), December 2022
Publisher : Indonesian Operations Research Association (IORA)
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DOI: 10.47194/orics.v3i4.78
This paper discusses risk analysis on a single stock return. Stock data analyzed are shares of BBNI and BBRI. The method used is Value-at-Risk with a normal distribution approach. The steps are, after obtaining stock returns, then the value-at-risk (VaR) is estimated using a normal distribution approach. Then a back-test is carried out to measure the performance of risk measures. The results of the analysis show that VaR for BBNI and BBRI produces a small QPS close to zero. This shows that VaR with the normal distribution approach is more consistent and can be used to measure risk for BBNI and BBRI.Â
Determination of Microinsurance Premiums in Cattle Farms Based on Protein Content Index and Milk Production Using the Black-Scholes Method
Rahadi, Fabiyan;
Susanti, Dwi;
Halim, Nurfadhlina Binti Abdul
Operations Research: International Conference Series Vol. 4 No. 2 (2023): Operations Research International Conference Series (ORICS), June 2023
Publisher : Indonesian Operations Research Association (IORA)
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DOI: 10.47194/orics.v4i2.227
Micro insurance is an insurance product that is intended for low-income people with features and administration that are simple, easy to obtain, economical prices and immediate settlement of compensation. Cattle business insurance is an effort to protect breeders in event of a risk of death and loss of cattle, this insurance product is a protection against worries the burden of a large premium. This study aims to calculate the premium price using the Black-Scholes method. In this study, a correlation analysis was conducted to determine the influence the protein content on cow’s milk production. Then, modelling the protein content using ARIMA-GARCH and determining the premium using the Black-Scholes method. The results showed that the protein content of milk in cow’s milk production has a positive correlation. Protein content follows the ARIMA(1,0,0)-GARCH(1) model. Based on the results of the analysis it can be concluded that the bigger protein content in milk, the higher premium that needs to paid.Â
Calculating Premium Credibility Using the Buhlmann-Straub Modelwith Nonparametric Assessment
Susanti, Dwi;
Sukono, Sokono
International Journal of Global Operations Research Vol. 1 No. 1 (2020): International Journal of Global Operations Research (IJGOR), February 2020
Publisher : iora
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DOI: 10.47194/ijgor.v1i1.15
When an insurance company calculates the premium it will divides the policy holders into groups. The division is considered based on risk level in each group. The problem is then to devise a way of combining the experience risk of the group with the experience of the individual risk to calculate the premium, so then Credibility Theory provides a solution to this problem.This script discuss about calculation of credibility premium use Buhlmann-Straub Model with nonparametric estimation to the aggregate claim amount data set within few years observation in some group of policy holders in general insurance. By using credibility theory we can calculate the value of credibility factor and credibility premium or future premium. The value of premium credibility is calculated from only one group of policyholders from the previous year's data. For better value of premium credibility, data with more experience years and the policyholder group better reflect the total loss value during the observation year.The result of this calculation are credibility factor per group, average credibility premium per members in group and credibility premium total for the last year for each group. We can obtain total losses and total premium which surprisingly equal.Â
Application of Structural Equation Model to Analyze Factors Affecting Financial Planning After Retirement
Khairi, M. Ihsan;
Susanti, Dwi;
Sukono, Sukono
International Journal of Global Operations Research Vol. 2 No. 3 (2021): International Journal of Global Operations Research (IJGOR), August 2021
Publisher : iora
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DOI: 10.47194/ijgor.v2i3.87
Retirement is something that every working individual will experience. Retirement according to the Big Indonesian Dictionary (KBBI) is not working anymore because the term of office has finished. A person who has retired usually has the right to a pension fund. After retirement, the individual's income will decrease, but the necessities of life can increase. In order to still be able to meet the needs of life after retirement, it is necessary to have financial planning after retirement. There are several factors that influence financial planning after retirement, including income, attitude and culture. Income is an important issue in financial planning. One thing to consider carefully when planning for retirement and setting aside funds for that purpose is the estimate of the amount of money needed to have the expected quality of life in retirement. Attitude towards retirement planning is an internal psychological condition that is influenced by positive or negative assessments related to retirement planning. Cultural differences will result in different financial plans between individuals. In this study, the Structural Equation Model will be used to analyze the factors that influence financial planning after retirement for teachers in several schools in Tanah Datar Regency, West Sumatra. This study uses quantitative methods using a questionnaire as a data collection tool. Based on the collected questionnaires, simulations were carried out to obtain 170 data randomly. To facilitate data analysis, the AMOS application will be used. The results showed that these three factors had a significant effect on financial planning after retirement. The most influential factor on financial planning after retirement is culture with a parameter value of 0.639.
Determination of the Contribution of the Reserve Fund for Flood Natural Disaster Management in the DKI Jakarta Region
Nugraha, Dwita Safira;
Susanti, Dwi;
Sukono, Sukono
International Journal of Global Operations Research Vol. 2 No. 4 (2021): International Journal of Global Operations Research (IJGOR), November 2021
Publisher : iora
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DOI: 10.47194/ijgor.v2i4.88
Floods are natural disasters that are quite difficult to predict. As a result, there are many losses both materially, morally and even to the point of taking lives. In Indonesia, one of the areas that experience flooding the most is DKI Jakarta. In early 2020, flooding was the biggest cause of loss in the region. The role of the people of DKI Jakarta is very important in collecting contributions to the reserve fund for disaster emergency response. Therefore, this study aims to estimate the amount of reserve fund contributions for community-based flood disaster management in the DKI Jakarta area based on the Collective Risk Model method approach, using Poisson and Log-Normal distributions, including parameter estimates  and (μ,σ) , resulting in an estimate of the expected magnitude of the risk of loss. Based on these expectations, the contribution amount can be calculated using the Individual and Collective Risk Model. The result of this research is the contribution of funds which is calculated based on the principle of expected value
K Keterampilan Berpikir Komputasi Peserta Didik Dalam Memecahkan Masalah PISA Ditinjau Dari Gaya Belajar: Keterampilan Berpikir Komputasi Peserta Didik Dalam Memecahkan Masalah PISA Ditinjau Dari Gaya Belajar
Susanti, Dwi;
Susanto, Susanto;
Suwito, Abi;
Firmansyah, Frenza Fairuz
De Fermat : Jurnal Pendidikan Matematika Vol. 7 No. 2 (2024)
Publisher : Program Studi Pendidikan Matematika, Fakultas Keguruan dan Ilmu Pendidikan, Universitas Balikpapan
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DOI: 10.36277/defermat.v7i2.2236
Tujuan dilakukannya penelitian ini adalah untuk mendeskripsikan keterampilan berpikir komputasi peserta didik dalam memecahkan soal masalah Program for International Student Assesment (PISA) konten geometri. Subjek penelitian dipilih berlandaskan hasil angket gaya belajar VAK (Visual, Auditori, Kinestetik) dari 28 peserta didik kelas IX yang berusia 15 tahun. Kemudian peserta didik dikelompokkan kedalam tiga jenis gaya belajar yaitu visual, auditori dan kinestetik. Dari setiap kelompok dipilih satu peserta didik sebagai sabjek penelitian dengan kemampuan matematika yang sama. Penelitian dilakukan dengan memberikan subjek satu masalah berupa soal PISA dengan konten geometri, kemudian dilanjutnkan dengan dilakukannya wawancara oleh peneliti dengan subjek. Hasil dari pemecahan masalah soal PISA dan wawancara lalu dianalisis menggunakan metode deskriptif dengan pendekatan kualitatif. Hasil dari penelitian menunjukkan bahwa subjek dengan gaya belajar visual dapat memenuhi indikator keterampilan berpikir komputasi yaitu dekomposisi dan pengenalan pola. Namaun pada indikator berpikir algoritma, generalisasi dan abstraksi subjek memenuhi namun kurang tepat. Subjek dengan gaya belajar Auditori hanya dapat memenuhi dua indikator keterampilan berpikir komputasi yaitu dekomposisi dan pengenalan pola. Sedangkan subjek dengan gaya belajar kinestetik dapat memenuhi semua indikator keterampilan berpikir komputasi yaaitu dekomposisi, pengenalan pola, berpikir algoritma sera generalisasi dan abstraksi
Analysis of factors related to unmet need for family planning in Bantul, D.I. Yogyakarta
Lutfiyati, Afi;
Susanti, Dwi
MEDIA ILMU KESEHATAN Vol 13 No 1 (2024): Media Ilmu Kesehatan
Publisher : Universitas Jenderal Achmad Yani Yogyakarta
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DOI: 10.30989/mik.v13i1.1344
Background: Unmet need for family planning refers to women who wish to delay or limit births but didn’t use contraceptive methods to achieve them. Factors related were marital status, place of residence, and access to health services. Occupational factors, sources of information, husband’s support for family planning, and discussions about family planning with husbands were also related to unmet need. Objective: To identify that most influence unmet need for family planning in Bantul District, D.I. Yogyakarta.Methods: Research design using a cross-sectional approach with a cluster random sampling technique, namely 331 couples of reproductive age in Wonokromo I and Wonokromo II villages. The research instrument was a questionnaire. The results were analyzed using Chi-square test and multivariate with logistic regression.Results: Chi-square test on variables of knowledge about family planning p=0.406, access to family planning services with p-value=0.005, sources of information p=0.001, discussion of family planning with husbands p=0.001, and husband’s support in family planning with p=0.001. The OR value of discussing contraception with the husband were 6.3.Conclusion: The most dominant factor related to unmet need for family planning in Bantul district, D.I. Yogyakarta were a discussion of family planning with husbands