Articles
<![CDATA[The Confidence Interval of the Estimator of the Periodic Intensity Function in the Presence of Power Function Trend on the Nonhomogeneous Poisson Process ]]>
<![CDATA[Maulidi, Ikhsan]]>;
<![CDATA[Wibowo, Bonno Andri]]>;
<![CDATA[Valentika, Nina]]>;
<![CDATA[Syazali, Muhammad]]>;
<![CDATA[Apriliani, Vina]]>
<![CDATA[ CAUCHY Vol 7, No 1 (2021): CAUCHY: Jurnal Matematika Murni dan Aplikasi ]]>
Publisher : <![CDATA[Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang ]]>
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DOI: 10.18860/ca.v7i1.12848
<![CDATA[The nonhomogeneous Poisson process is one of the most widely applied stochastic processes. In this article, we provide a confidence interval of the intensity estimator in the presence of a periodic multiplied by trend power function. This estimator's confidence interval is an application of the formulation of the estimator asymptotic distribution that has been given in previous studies. In addition, constructive proof of the convergent in probability has been provided for all power functions.]]>
<![CDATA[Analysis factors that affect participant interest in cattle farm business insurance in Indonesia ]]>
<![CDATA[Ikhsan Maulidi]]>;
<![CDATA[Juanda Kelana Putra]]>;
<![CDATA[Werry Febrianti]]>;
<![CDATA[Vina Apriliani]]>
<![CDATA[ Jurnal Ilmu-Ilmu Peternakan (Indonesian Journal of Animal Science) Vol 32, No 1 (2022): April 2022 ]]>
Publisher : <![CDATA[Faculty of Animal Science, Universitas Brawijaya ]]>
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DOI: 10.21776/ub.jiip.2022.032.01.06
<![CDATA[The Cattle Business Insurance Program is a protection cow yields program launched by the government to anticipate the risk of loss of farmer due to crop failure. The government started this program in 2015 by working together with an insurance company PT. Jasindo. This program is beneficial for farmer in Indonesia. Unfortunately, the impact of this program is still having a negligible effect on society because there is still a lack of attraction from the farmer to follow this insurance program. This research has a purpose in analyzing factors that caused the farmer’s interest, making them want to join this insurance. We use a structural equation model (SEM) of data that has been obtained to provide the method. Based on the results, we can conclude that the accuracy factor is a dominant factor that influences the farmer’s decision to join the AUTS program. This insurance has been beneficial in developing a better Cattle business insurance program in the future and motivates farmer to join this insurance. For insurance companies, this research has provided information for companies interested in opening similar and better insurance programs to increase the enthusiasm of local farmer and national cattle productions.]]>
<![CDATA[Model Kredibilitas Bühlmann dengan Frekuensi Klaim Berdistribusi Binomial Negatif-Lindley ]]>
<![CDATA[Ikhsan Maulidi]]>;
<![CDATA[Vina Apriliani]]>
<![CDATA[ Limits: Journal of Mathematics and Its Applications Vol 18, No 1 (2021) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/limits.v18i1.6690
<![CDATA[In this article, we develop a parametric Bühlmann credibility model with the frequency of claims that are assumed following the Negative Binomial- Lindley distribution. The Estimator of the quantities in the Bühlmann model have provided for this distribution using methods commonly used in the greatest accuracy credibility. The premium estimation that resulted in this model is a linear combination of the past claims which gives a minimum error square. The momen function of the Binomial-Lindley distribution is very helpful to determine these Bühlmann’s quantities. Application simulations of this model are also given for simple data claims along with the algorithm. However, it gives an appreciable credibility factor value, this model requires many past claims to get a good premium estimation.]]>
<![CDATA[KEMAMPUAN PEMAHAMAN KONSEP MATEMATIKA SISWA SMP MELALUI PENERAPAN MODEL PEMBELAJARAN AUDITORY INTELLECTUALLY REPETITION ]]>
<![CDATA[Muhammad Abrar]]>;
<![CDATA[Vina Apriliani]]>;
<![CDATA[Johan Yunus]]>
<![CDATA[ STATMAT : JURNAL STATISTIKA DAN MATEMATIKA Vol 2, No 2 (2020) ]]>
Publisher : <![CDATA[Math Program, Math and Science faculty, Pamulang University ]]>
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DOI: 10.32493/sm.v2i2.5648
<![CDATA[Pemahaman konsep matematika merupakan suatu aspek yang sangat penting dalam pembelajaran matematika. Dengan memahami konsep, siswa dapat mengembangkan kemampuannya dalam menyelesaikan permasalahan matematika. Hal ini sesuai dengan tujuan pembelajaran matematika yaitu memahami konsep dan menerapkan prosedur matematika dalam kehidupan sehari-hari. Kenyataannya, kemampuan pemahaman konsep matematika siswa masih tergolong rendah, sehingga dibutuhkan suatu model pembelajaran yang dapat meningkatkan kemampuan pemahaman konsep matematika siswa yaitu model pembelajaran Auditory Intellectually Repetition. Tujuan dari penelitian ini adalah untuk mengetahui perbedaan kemampuan pemahaman konsep matematika siswa SMP yang diajarkan melalui model pembelajaran Auditory Intellectually Repetition dengan yang diajarkan melalui pembelajaran konvensional. Metode penelitian yang digunakan adalah penelitian quasi experiment dengan desain control group pretest-posttest. Populasi dalam penelitian ini adalah seluruh siswa kelas VIII SMPN 13 Banda Aceh. Pengambilan sampel dilakukan dengan menggunakan simple random sampling, yang terdiri dari dua kelas yaitu kelas VIII2 sebagai kelas eksperimen dan kelas VIII1 sebagai kelas kontrol. Pengumpulan data digunakan dengan menggunakan lembar tes kemampuan pemahaman konsep matematika. Teknik analisis data yang digunakan adalah uji-t independen. Dari hasil penelitian dengan uji-t independen, kami memperoleh kesimpulan bahwa kemampuan pemahaman konsep matematika siswa SMP yang diajarkan melalui model pembelajaran Auditory Intellectually Repetition lebih baik daripada kemampuan pemahaman konsep matematika siswa SMP yang diajarkan melalui pembelajaran konvensional.]]>
<![CDATA[Optimal Raw Material Inventory Analysis Using Markov Decision Process with Policy Iteration Method ]]>
<![CDATA[Ikhsan Maulidi]]>;
<![CDATA[Radhiah Radhiah]]>;
<![CDATA[Chintya Hayati]]>;
<![CDATA[Vina Apriliani]]>
<![CDATA[ JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 6, No 3 (2022): July ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Mataram ]]>
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DOI: 10.31764/jtam.v6i3.8563
<![CDATA[Inventory of raw materials is a big deal in every production process, both in company production and home business production. In order to meet consumer demand, a business must be able to determine the amount of inventory that should be provided. The purpose of this research is to choose an alternative selection of ordering raw materials that produce the maximum amount of raw materials with minimum costs. The raw material referred to in this study is pandan leaves used to make pandan mats. Analysis of raw material inventory used in this research was the Markov decision process with the policy iteration method by considering the discount factor. From the analysis conducted, it is obtained alternative policies that must be taken by producers to meet raw materials with minimum costs. The results of this study can be a consideration for business actors in the study location in deciding the optimal ordering policy that should be taken to obtain the minimum operational cost. ]]>
<![CDATA[Model Kredibilitas Bühlmann-Straub untuk Frekuensi Klaim Berdistribusi Binomial Negatif–Lindley ]]>
<![CDATA[Ikhsan Maulidi]]>;
<![CDATA[Uswah Uswah]]>;
<![CDATA[Rini Oktavia]]>;
<![CDATA[Alim Misbullah]]>;
<![CDATA[Vina Apriliani]]>
<![CDATA[ Limits: Journal of Mathematics and Its Applications Vol 20, No 1 (2023) ]]>
Publisher : <![CDATA[Institut Teknologi Sepuluh Nopember ]]>
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DOI: 10.12962/limits.v20i1.12618
<![CDATA[The credibility theory is one of the tools that can be used to determine risk-based premiums. One approach that can be used is the best accuracy approach such as Bühlmann-Straub. We study the parametric Bühlmann-Straub credibility model in which the claim frequency data is assumed to follow the Negative-Lindley (NB-L) Binomial distribution. Determination of the Bühlmann-Straub parameter is determined by using the basic rules in probability theory. From the study that has been carried out, an explicit equation has been obtained to determine the credibility premium of Bühlmann-Straub. A simulation of the application of the model to the data was also provided by assuming the data follows the NB-L distribution. The NB-L distribution parameters were estimated using the momen method and maximum likelihood estimation. From the simulation, it is found that the data used had a high credibility factor value which implies the data can be considered primely for estimating future premiums.]]>
<![CDATA[Bühlmann's Credibility Model with Claims of Negative Binomial and 2-Poisson Distribution ]]>
<![CDATA[Ikhsan Maulidi]]>;
<![CDATA[Vina Apriliani]]>
<![CDATA[ CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 7, No 4 (2023): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI ]]>
Publisher : <![CDATA[Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang ]]>
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DOI: 10.18860/ca.v7i4.16400
<![CDATA[One of the premium determination techniques is to use credibility theory. In this study, a credibility premium determination model was derived with the best accuracy approach in the form of Bühlmann’s credibility premium. The claim data is assumed to have a Negative Binomial and 2-Poisson distribution. Bühlmann's credibility premium formula is given explicitly for these two data distributions. The obtained model is also applied to the correct data following these distributions. From the simulation results, it is obtained that the premium values are very close in value so that both models can be applied to the data and have a high level of credibility because they have a high credibility factor value.]]>
<![CDATA[Bühlmann's Credibility Model with Claims of Negative Binomial and 2-Poisson Distribution ]]>
<![CDATA[Maulidi, Ikhsan]]>;
<![CDATA[Apriliani, Vina]]>
<![CDATA[ CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 7, No 4 (2023): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI ]]>
Publisher : <![CDATA[Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang ]]>
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DOI: 10.18860/ca.v7i4.16400
<![CDATA[One of the premium determination techniques is to use credibility theory. In this study, a credibility premium determination model was derived with the best accuracy approach in the form of Bühlmann’s credibility premium. The claim data is assumed to have a Negative Binomial and 2-Poisson distribution. Bühlmann's credibility premium formula is given explicitly for these two data distributions. The obtained model is also applied to the correct data following these distributions. From the simulation results, it is obtained that the premium values are very close in value so that both models can be applied to the data and have a high level of credibility because they have a high credibility factor value.]]>
<![CDATA[Implementasi Sistem Informasi Akademik Dalam Meningkatkan Mutu Pelayanan Kampus ]]>
<![CDATA[Nur Oktaviana, Shaqia]]>;
<![CDATA[Apriliani, Vina]]>;
<![CDATA[Nova Novita, Windi]]>;
<![CDATA[Mulyeni, Sri]]>;
<![CDATA[Herlina, Herlina]]>
<![CDATA[ Jurnal Soshum Insentif Vol 7 No 1 (2024): Jurnal Soshum Insentif ]]>
Publisher : <![CDATA[Lembaga Layanan Pendidikan Tinggi Wilayah IV ]]>
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DOI: 10.36787/jsi.v7i1.1416
<![CDATA[Sistem informasi akademik telah berkembang dalam berbagai bentuk, dimulai dengan sistem informasi yang dapat diakses melalui internet dan SMS. Metode penelitian ini merupakan penelitian kepustakaan. Serangkaian studi tentang bagaimana data perpustakaan dikumpulkan atau studi tentang berbagai jenis informasi perpustakaan. Tujuan dari penelitian ini adalah untuk mengetahui implementasi sistem informasi akademik untuk meningkatkan kualitas layanan kampus. Adapun kesimpulan dalam penelitian ini. Secara umum, implementasi SIA yang di rasakan oleh penulis sudah baik karena memuaskan terhadap para pengguna sistem, dan meningkatkan kualitas kerja serta membantu kinerja semua pihak terkait kegiatan akademi di kampus kemudian dapat dilihat dari hasil penelitian bahwa selama pelaksanaan tidak timbul masalah yang berarti walaupun ada kendala seperti jaringan internet tidak bagus atau jaringan internet mati akan tetapi semua dapat di atasi.]]>
<![CDATA[Extended F-Expansion Method for Solving the modified Korteweg-de Vries (mKdV) Equation ]]>
<![CDATA[Apriliani, Vina]]>;
<![CDATA[Maulidi, Ikhsan]]>;
<![CDATA[Azhari, Budi]]>
<![CDATA[ Al-Jabar: Jurnal Pendidikan Matematika Vol 11 No 1 (2020): Al-Jabar: Jurnal Pendidikan Matematika ]]>
Publisher : <![CDATA[Universitas Islam Raden Intan Lampung, INDONESIA ]]>
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DOI: 10.24042/ajpm.v11i1.5153
<![CDATA[One of the phenomenon in marine science that is often encountered is the phenomenon of water waves. Waves that occur below the surface of seawater are called internal waves. One of the mathematical models that can represent solitary internal waves is the modified Korteweg-de Vries (mKdV) equation. Many methods can be used to construct the solution of the mKdV wave equation, one of which is the extended F-expansion method. The purpose of this study is to determine the solution of the mKdV wave equation using the extended F-expansion method. The result of solving the mKdV wave equation is the exact solutions. The exact solutions of the mKdV wave equation are expressed in the Jacobi elliptic functions, trigonometric functions, and hyperbolic functions. From this research, it is expected to be able to add insight and knowledge about the implementation of the innovative methods for solving wave equations. ]]>
