Articles
<![CDATA[How Students Solves PISA Tasks: An Overview of Studentsâ Mathematical Literacy ]]>
<![CDATA[Hendroanto, Aan]]>;
<![CDATA[Istiandaru, Afit]]>;
<![CDATA[Syakrina, Nisa]]>;
<![CDATA[Setyawan, Fariz]]>;
<![CDATA[Prahmana, Rully Charitas Indra]]>;
<![CDATA[Hidayat, Agus Sofian Eka]]>
<![CDATA[ International Journal on Emerging Mathematics Education IJEME, Vol. 2 No. 2, September 2018 ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
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DOI: 10.12928/ijeme.v2i2.10713
<![CDATA[This article aims to investigate how mathematics education students in Universitas Ahmad Dahlan solve PISA mathematics problems. This research used the descriptive method with the qualitative approach and supported with quantitative data. Research subjects were 20 new students of mathematics education at Universitas Ahmad Dahlan in the 2016/2017 academic year. We translated the 2012 PISA instrument and used it to collect data on studentsâ mathematical literacy skills and to identify their difficulties. All the data were analyzed based on PISAâs framework. The result shows that, in general, 65.7% of students were able to understand the problems and plan their strategies to solve them. Meanwhile, only 46.9% among them could answer correctly. In addition, only 36.8% of the students were able to understand the level 6 problems while only 23.7% among them answered correctly. The students performed well in the interpretation process towards the problems with individual and social contexts. However, they found difficulties in the formulation and employment process of the problems, especially in the work and scientific context.]]>
<![CDATA[Bale Terpadu untuk Mengatasi Trauma akibat Gempa Bumi Lombok pada Anak-anak Usia Sekolah di Kabupaten Lombok Utara ]]>
<![CDATA[Primajati, Gilang]]>;
<![CDATA[Eka Hidayat , Agus Sofian]]>
<![CDATA[ JPMB : Jurnal Pemberdayaan Masyarakat Berkarakter Vol 3 No 1 (2020): Januari-Juli ]]>
Publisher : <![CDATA[Pusat Penelitian dan Pengembangan Rekarta Mataram ]]>
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DOI: 10.36765/jpmb.v3i1.217
<![CDATA[Abstrak : Pengabdian ini dilaksanakan atas kerjasama antara pihak dusun Barong Birak dan organisasi kepemudaan/kerelawanan (OKP) yang ada di Pulau Lombok. Kegiatan pengabdian Sosialisasi Gempa dan Bale Terpadu (BATU) adalah sebuah konsep yang ditujukan bagi masyarakat desa pasca terjadinya gempa bumi Lombok yang diperuntukkan bagi anak-anak dan pemuda usia sekolah dalam rangka pengetahuan tentang mengendalikan risiko dan trauma healing. BATU di dusun Barong Birak sebagai wahana untuk memberikan motivasi, akses informasi, keahlian, ilmu dan wawasan tambahan kepada masyarakat desa akan pentingnya pendidikan dan keterampilan untuk menatap dan merajut kembali masa. Metode yang digunakan adalah metode langsung dengan tatap muka dalam sosialisasi dan kelas-kelas motivasi kepada anak-anak usia sekolah dasar dan kelas-kelas keahlian bagi pemuda dan masyarakat seperti pelatihan computer dan bahasa inggris. Hasil yang diperoleh sangat antusiasnya anak-anak usia sekolah dasar mengikuti kelas-kelas motivasi pasca trauma gempa yang menjadi momok kehidupan mengingat berkurangnya motivasi untuk menatap masa depan. Untuk pemuda dan masyarakat pada umumnya sangat sulit untuk diakomodir karena keperluan mereka untuk bekerja memenuhi kebutuhannya masing-masing. Akan tetapi kami memanfaatkan waktu hari libur atau sore hari setelah mereka pulang bekerja untuk mengikuti kegiatan ini.Abstract : This service is carried out in collaboration between the Barong Birak hamlet and the youth / voluntary organization in Lombok Island. Dedicated Earthquake and House of Socialization Service (BATU) is a concept aimed at village communities after the Lombok earthquake that is intended for children & young people of school age in the context of knowledge about controlling risk and trauma healing. BATU in the Barong Birak hamlet as a vehicle to provide motivation, access to information, expertise, knowledge and additional insights to the village community on the importance of education and skills to look and knit back in time. The method used is a face-to-face method in socializing and motivational classes for elementary school age children and skills classes for youth and the community such as computer training and English. The results obtained were very enthusiastic about elementary school age children participating in motivational classes in the aftermath of the earthquake trauma which is a scourge of life given the reduced motivation to look into the future. For youth and the community in general, it is very difficult to be accommodated because their needs to work fulfill their individual needs. However, we use the time off or the afternoon after they come home from work to participate in this activity]]>
<![CDATA[SOSIALISASI ASURANSI GEMPA BUMI PADA MASYARAKAT KORBAN GEMPA DI KABUPATEN LOMBOK UTARA ]]>
<![CDATA[Agus Sofian Eka Hidayat]]>;
<![CDATA[Gilang Primajati]]>
<![CDATA[ ACADEMICS IN ACTION Journal of Community Empowerment Vol 2, No 1 (2020) ]]>
Publisher : <![CDATA[President University ]]>
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DOI: 10.33021/aia.v2i1.1021
<![CDATA[Pengabdian ini dilaksanakan atas kerjasama antara pihak dusun Barong Birak dan organisasi kepemudaan/kerelawanan (OKP) yang ada di Pulau Lombok. Kegiatan pengabdian Sosialisasi Gempa adalah sebuah konsep yang ditujukan bagi masyarakat desa pasca terjadinya gempa bumi di Pulau Lombok. Kegiatan pengabdian ini dilaksanakan di dusun Barong Biak, Lombok Utara. Kegiatan ini diperuntukan bagi anak-anak dan pemuda usia sekolah dan juga masyarakat dewasa dalam rangka pengetahuan tentang mengendalikan risiko pada becana gempa bumi. Pengetahuan masyarakat yang rendah terhadap manajemen bencana seperti gempa bumi, dan bagaimana mengasuransikan diri mereka terhadap adanya bencana gempa bumi menjadi suatu hal yang cukup menghawatirkan. Akibat rendahnya managemen masyarakat ini, akhirnya Ketika bencana terjadi, hilangnya harta, rumah, akibat bencana secara finansial tidak mampu ditanggung oleh masyarakat. Sehingga dengan adanya sosialisasi ini, diharapkan masyarakat dimulai dari anak-anak dan pemuda memiliki pengetahuan tentang eksistensi dari adanya asuransi gempa bumi. Metode yang dgunakan dalam sosialisasi ini adalah metode group diskusi dan presentasi, dan diselingi dengan game interaktif. Implikasi dari pengabdian kepada masyarakat ini, diharpkan mampu mendorong masyarakat untuk mulai mengasuransikan dirinya dan asset yang dimiliknya. Selain sosialisasi asuransi, pada pengabdian ini juga diadakan sesi trauma healing dan bale belajar sebagai bentuk edukasi dan penguatan psikologis anak-anak atas bencana alam yang telah mereka alami.]]>
<![CDATA[Analisa Struktur Dependensi Variabe Pembentukan Asuransi Pertanian Berbasis Indeks Cuaca dengan Multivariat Copula dan Vine Copula ]]>
<![CDATA[Agus Sofian Eka Hidayat]]>
<![CDATA[ Jurnal Varian Vol 3 No 1 (2019) ]]>
Publisher : <![CDATA[Universitas Bumigora ]]>
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DOI: 10.30812/varian.v3i1.485
<![CDATA[The purpose of this study is to analyze the structure of the dependency on variables for calculation of insurance based on weather indices such as crop prices, yields, and rainfall. The object of research observation was secondary data on the sub-district of Dlingo Bantul District. In analyzing the dependency of variables that can be used in agricultural insurance calculations, it can be seen that both using multivariate copula and vine copula have the same results. A multivariate copula that directly looks at dependency relationships between three variables. Whereas copula vine can see the size values of the variable pair dependency for each edge in the copula vine tree. In more detail the best dependency for the grain price and rainfall variable is Copula Joe with the parameter θ = 1.76. correlation τ = 0.3. The best dependency between rainfall and yield is Frank Copula with parameters θ = 4.98 and correlation τ = 0.46. The best dependency between rainfall and yield is Frank copula with parameters θ = 2.42 and correlation τ = 0.25.]]>
<![CDATA[Modelling Crop Insurance Based on Weather Index Using The Homotopy Analysis for American Put Option ]]>
<![CDATA[Agus Sofian Eka Hidayat]]>;
<![CDATA[Monica Sandi Afa]]>;
<![CDATA[Dedi Kurniawan]]>
<![CDATA[ Jurnal Varian Vol 4 No 2 (2021) ]]>
Publisher : <![CDATA[Universitas Bumigora ]]>
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DOI: 10.30812/varian.v4i2.993
<![CDATA[The crop insurance in Indonesia (AUTP) is much focused on the area impacted by flood, drought, and pest attack. The complication of the procedure to claim the loss must follow several conditions. The different approaches in the insurance sector, using weather index can be taken into consideration to produce a variety of insurance products. This insurance product used the American put option with the primary asset is the rainfall and the cumulative rainfall to exercise the claim, considering the optimal execution limit. The homotopic analysis is used to determine the valuation of the American put option, which also becomes the insurance premium. The case study is focused on areas experiencing a drought so that insurance claims can be exercise when the rainfall index value is below a predetermined limit. Considering the normality of the rainfall data, the calculation of insurance premium was done for the first growing season. The insurance premium is varies based on the optimal execution limit, while the calculation of profit is based on the optimum limit exercise and the minimum rainfall for the growing season, and its different depended on insurance claim acceptance limits.]]>
<![CDATA[How Students Solves PISA Tasks: An Overview of Students’ Mathematical Literacy ]]>
<![CDATA[Aan Hendroanto]]>;
<![CDATA[Afit Istiandaru]]>;
<![CDATA[Nisa Syakrina]]>;
<![CDATA[Fariz Setyawan]]>;
<![CDATA[Rully Charitas Indra Prahmana]]>;
<![CDATA[Agus Sofian Eka Hidayat]]>
<![CDATA[ International Journal on Emerging Mathematics Education IJEME, Vol. 2 No. 2, September 2018 ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
Show Abstract
|
Download Original
|
Original Source
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Check in Google Scholar
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Full PDF (1308.335 KB)
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DOI: 10.12928/ijeme.v2i2.10713
<![CDATA[This article aims to investigate how mathematics education students in Universitas Ahmad Dahlan solve PISA mathematics problems. This research used the descriptive method with the qualitative approach and supported with quantitative data. Research subjects were 20 new students of mathematics education at Universitas Ahmad Dahlan in the 2016/2017 academic year. We translated the 2012 PISA instrument and used it to collect data on students’ mathematical literacy skills and to identify their difficulties. All the data were analyzed based on PISA’s framework. The result shows that, in general, 65.7% of students were able to understand the problems and plan their strategies to solve them. Meanwhile, only 46.9% among them could answer correctly. In addition, only 36.8% of the students were able to understand the level 6 problems while only 23.7% among them answered correctly. The students performed well in the interpretation process towards the problems with individual and social contexts. However, they found difficulties in the formulation and employment process of the problems, especially in the work and scientific context.]]>
<![CDATA[Examining the causal relationship of entrepreneurial ecosystem and process: New contribution from an emerging economy ]]>
<![CDATA[Dedi Kurniawan]]>;
<![CDATA[Agus Sofian Eka Hidayat]]>;
<![CDATA[Suwinto Johan]]>
<![CDATA[ Jurnal Manajemen dan Pemasaran Jasa Vol. 14 No. 1 (2021): MARET ]]>
Publisher : <![CDATA[Lembaga Penerbit Fakultas Ekonomi dan Bisnis ]]>
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DOI: 10.25105/jmpj.v14i1.8146
<![CDATA[Existing literature on entrepreneurial ecosystems mostly ignores empirical research on the causal relationship between entrepreneurial ecosystems and their outputs. Therefore, this study examined the causal relationship of the entrepreneurial ecosystem on opportunity recognition, exploitation, and venture growth as its ecosystem outputs. This is quantitative research with the survey method. The study population is startup actors in Indonesia, consisting of owners, chief executive officers, and managers. The accidental sampling method with rigid screening questions was applied and questionnaires were distributed online through social media and messaging apps. The questionnaire was prepared using the Multi-dimensional Entrepreneurial Ecosystem Scale (MEES) to determine the ecosystem construct. Data were analyzed using the Structural Equation Modeling (SEM) techniques in the AMOS application. The result showed that the entrepreneurial ecosystem significantly affects opportunity recognition, exploitation, and venture growth. This fills the gap in this research and helps decision-makers in facilitating a better entrepreneurial ecosystem.]]>
<![CDATA[ARIMA Model and Holt Winters Seasonal Smoothing Accuracy for Stock Price Prediction ]]>
<![CDATA[Agus Sofian Eka Hidayat]]>;
<![CDATA[Putu Darmawan]]>
<![CDATA[ Journal of Actuarial, Finance, and Risk Management Vol 2, No 1 (2023) ]]>
Publisher : <![CDATA[Journal of Actuarial, Finance, and Risk Management ]]>
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DOI: 10.33021/jafrm.v2i1.4521
<![CDATA[One way to generate capital is by investments in the capital market, with the expectation that this money will increase in tandem with an issuer's stock price. In the past few decades, technology for communication and information has developed incredibly quickly, followed by the introduction of 5G, which boosts data transfer rates. This study intends to compare the accuracy of SARIMA and HOLTS WINTER SEASONAL SMOOTHING in predicting the price of TLKM. The SARIMA (1, 1, 1) x (0, 1, 1) 52 model outperforms Holt's Winter Seasonal Smoothing with a 3% MAPE in terms of forecasting TLKM stock price data]]>
<![CDATA[Application of the Historical Burn Analysis Method in Determining Rainfall Index for Crop Insurance Premium Using Black-Scholes ]]>
<![CDATA[Agus Sofian Eka Hidayat]]>;
<![CDATA[Agnes Crycencia Sembiring]]>
<![CDATA[ Journal of Actuarial, Finance, and Risk Management Vol 2, No 2 (2023) ]]>
Publisher : <![CDATA[Journal of Actuarial, Finance, and Risk Management ]]>
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DOI: 10.33021/jafrm.v2i2.4806
<![CDATA[Indonesia is an agricultural country where rice sector has a high risk of production loss or crop failure. Agricultural Insurance is one of the government programs that helps farmers secure their farms. The aim of this final assignment is to obtain rainfall index to determine crop insurance premiums. The rainfall index is being carried out using Historical Burn Analysis which will produce exit values and trigger values for the index window January 2014 - December 2022 using secondary data from the Bali Climatology Station. In this study, Microsoft Excel 2016 was used as an application tool. The Black-Scholes method is used to calculate the premium in Jembrana Regency. The calculation of the rainfall index using the Historical Burn Analysis formula in determining agricultural insurance premiums using Black-Scholes can be used very well, the result show that the insurance premium value is very high where the lowest premium is IDR 6,654,075 and the highest premium is IDR 6,781,555.]]>
<![CDATA[The Effect of Changes in the Indonesian Mortality Table on Pension Fund Calculations Using the Projected Unit Credit Method ]]>
<![CDATA[Hidayat, Agus Sofian Eka]]>;
<![CDATA[Lubus, Audrey Delfina]]>;
<![CDATA[Gunawan, Mayla Uma]]>;
<![CDATA[Zahra, Nasywa Faridah Annisa]]>;
<![CDATA[Mely Sintia, Ni Gusti Kadek Ari]]>
<![CDATA[ Journal of Actuarial, Finance, and Risk Management Vol 3, No 2 (2024) ]]>
Publisher : <![CDATA[President University ]]>
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DOI: 10.33021/jafrm.v3i2.5540
<![CDATA[Companies are required to prepare a pension fund for their employees as a form of appreciation and compensation for the services that have been given to the companies. In Indonesia, the calculation of pension funds is regulated in the Financial Services Authority Regulation (POJK) number 3 concerning Pension Fund Investments. Projected Unit Credit uses the distribution of pension benefits that pension participants will get if they work until they reach normal retirement age with a total of years of service. In this research, the researchers are using two mortality tables on the value of pension funds using the projected unit credit method. The data in this research uses salary data from PT. XYZ with the assumption of retirement age at the age of 58, and an interest rate of 6.25% based on Bank Indonesia’s rate. The results of this research show that changes in normal cost and actuarial liability for both males and females are visible at the age of entry into employment until the middle of the working period, while the effect of changes in the mortality table at the final age approaching retirement is not very significant.]]>
