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Jurnal Varian
Published by Universitas Bumigora
ISSN : -     EISSN : 25812017     DOI : https://doi.org/10.30812/varian
Core Subject : Economy, Science, Education, Social,
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Mathematics Social Sciences Other
Jurnal Varian adalah salah satu Jurnal Ilmiah yang terdapat di Universitas Bumigora. Jurnal ini bertujuan untuk memberikan wadah atau sarana publikasi bagi para dosen, peneliti dan praktisi baik di lingkungan internal maupun eksternal Universitas Bumigora Mataram. Jurnal ini terbit 2 (dua) kali dalam 1 tahun pada periode Genap (April) dan Ganjil (Oktober). Jurnal Varian fokus memuat publikasi pada Bidang Matematika dan Statistika.
Arjuna Subject : Matematika - Statistik dan Probabilitas
Articles 178 Documents
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Analisis Portofolio Investasi dengan Metode Multi Objektif Gilang Primajati; Ahmad Zuli Amrullah; Ahmad ahmad
Jurnal Varian Vol 3 No 1 (2019)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v3i1.476

Abstract

In the formation of an efficient portfolio, many methods can be used. Of course with its own assumptions and advantages. In the process, reasonable investor assumptions tend to be risk averse. Investors who are risk averse are investors who, when faced with two investments with the same expected return, will choose an investment with a lower risk level. If an investor has several efficient portfolio choices, then the most optimal portfolio will be chosen. Optimal portfolio with mean-variance efficient portfolio criteria, investors only invest in risky assets. Investors do not include risk free assets in their portfolios. Mean-variance efficient portfolio is defined as a portfolio that has a minimum variance among all possible portfolio that can be formed, at the mean level of the same expected return. The mean variant method of the two constraints can be used as a basis in determining the optimal portfolio weight by minimizing the risk of portfolio return with two constraints. In this article the problem referred to is symbolized by lamda and beta. With this two-constraint method, the results obtained are more detailed so that they can describe the results of a sharper analysis for an investor.
Mengetahui Adanya Pengaruh Pemanfaatan Teknologi Ponsel Dan Smart Phone Terhadap Peningkatan Produktifitas Industri Rumahan Di Lombok Muhammad Munawir Gazali; Heroe Santoso; Raisul Azhar
Jurnal Varian Vol 3 No 1 (2019)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v3i1.484

Abstract

The implementation of Productivity Enhancement activities for Home Industry players (HI) through Information Communication of Technology (ICT) or Utilization of Information and Communication Technology (ICT) is a program of the Ministry of Women's Empowerment and Child Protection (KPPPA) in collaboration with the Association of Higher Education Informatics and Computers ( APTIKOM). This program was carried out in order to improve the economy of women, so that home industry players in Indonesia, especially in West Nusa Tenggara (NTB) in order to develop better and more able to increase productivity and computer science. With ICT training, it will certainly be able to improve its quality especially in utilizing technology or the digital era in an effort to market products by no longer using manual systems. With the digital era, IRs can market their products with On Line systems. Especially in the face of the era of globalization, they will be able to take advantage of existing sites, how to find products, how to determine the price of how to create e-mails and how to use social media or to develop creative businesses.
Analisa Struktur Dependensi Variabe Pembentukan Asuransi Pertanian Berbasis Indeks Cuaca dengan Multivariat Copula dan Vine Copula Agus Sofian Eka Hidayat
Jurnal Varian Vol 3 No 1 (2019)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v3i1.485

Abstract

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.
Pengembangan Media Pembelajaran Matematika Interaktif Berbasis Android Pada Materi Dimensi Tiga Kelas X SMA Doni Dwiranata; Dewi Pramita; Syaharuddin Syaharuddin
Jurnal Varian Vol 3 No 1 (2019)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v3i1.487

Abstract

Abstract: This study aims to develop and produce android-based mathematics learning media on the subject of three dimensions of point, line, and field positions in space, for class X high school students and find out the validity, effectiveness, and practicality of interactive multimedia-based learning media. This type of research is a research development in the form of a three dimensional interactive learning media. Media development refers to the ADDIE development model which includes 5 stages, namely Analysis, Design, Development, Implementation, Evaluation. The subjects of this study were students of class X IPA and students of class X IPS SMA Negeri 1 Maronge. The instruments used in this study were questionnaire validation of material experts and media experts, student questionnaire responses, and student evaluation tests. The results of the development research are: (1) The results of the validation of the material and the media obtain an average score of 36 with the category "quite valid"; (2) The results of the effectiveness of the media in small group trials have achieved 100% mastery learning in the "very effective" category; (3) The results of the practicality of the media in small group trials obtained an average score of 57 in the "very practical" category; (4) The results of the effectiveness of the media in large group trials gained mastery learning reaching 80% with the category of "effective"; and (5) The practicality of the media in the large group test obtained an average of 54,485 in the "practical" category.
Implementasi Algoritma Sequential dan Welch Powell pada pewarnaan graf (studi kasus pewarnaan peta kota Makassar) muhammad Ammar
Jurnal Varian Vol 3 No 1 (2019)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v3i1.488

Abstract

The aim of this research is how to implement Sequential algorithm and Welch Powell algorithm on graph coloring, especially on Makassar city map coloring. The research method used was a case study aimed at searching information in the form of a map of Makassar city. The first step is to take a colored map of Makassar city at the Dinas tata ruang kota makassar, then redraw it with the help of Corel Draw X7 software, so there are no colors. The next step is to represent the map in graph form by taking the region (sub-district) as a node and then doing graph coloring using Sequential algorithm and Welch Powell algorithm. The results of coloring the Makassar city map using Sequential algorithm and Welch Powell algorithm, both produce chromatic numbers χ (G) = 4 or the number of colors produced to color a graph there are 4 colors. The colors used are red, yellow, green and blue. Then from the results of coloring this graph can easily be applied to color the map of the city of Makassar based on the coloring requirements obtained. Because it has the same chromatic numbers, it can be concluded that the Sequential algorithm is no better than the Welch Powell algorithm, or vice versa the Welch Powell algorithm is no better than the Sequential algorithm for the case of coloring the Makassar city map. The previous Makassar city map coloring or without the algorithm, produces chromatic numbers χ (G) = 12 or the number of colors produced to color a graph there are 12 colors. So that the two algorithms are much better at coloring than the previous Makassar city map coloring or without the algorithm
Penerapan Support Vector Regression (Svr) Dalam Memprediksi Jumlah Kunjungan Wisatawan Domestik Ke Bali Ni Putu Nanik Hendayanti; I Ketut Putu Suniantara; Maulida Nurhidayati
Jurnal Varian Vol 3 No 1 (2019)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v3i1.506

Abstract

Bali is one of the most popular tourism sectors in Indonesia. In the arena of international tourism, the island of Bali is considered as the most famous national destination compared to other destinations. The high level of domestic tourism visits to Bali annually must be strictly noted especially for local governments and Bali provincial tourism agencies in optimizing facilities, infrastructure to the safety of tourists Visit. Therefore, it takes a method that can predict the number of tourists visiting Bali annually. One method used to predict the number of tourists visiting Bali is Support Vector Regression (SVR). SVR is a method to estimate a mapped function from an input object to a real amount based on the training data. SVR has the same properties about maximizing margins and kernel tricks for mapping nonlinear data. Results of this research. Based on forecasting using MAPE value training data obtained by 11.34% while use data testing of MAPE value obtained by 7.30%. Based on the resulting MAPE value can be categorized well for the number of tourism visitors.
Perbandingan Pembobotan Seemingly Unrelated Regression – Spatial Durbin Model Untuk Faktor Kemiskinan Dan Pengangguran Luh Putu Safitri Pratiwi; Ni Putu Nanik Hendayanti; I Ketut Putu Suniantara
Jurnal Varian Vol 3 No 2 (2020)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v3i2.596

Abstract

Hukum I Tobler menduga segala sesuatu di suatu wilayah berhubungan erat dengan wilayah lainnya sehingga pemodelan analisis spasial lebih tepat digunakan untuk memodelkan faktor yang berpengaruh terhadap kemiskinan dan pengangguran di suatu wilayah dengan memperhatikan efek spasialnya Salah satu metode spasial yang bisa digunakan ialah Seemingly Unrelated Regression-Spatial Durbin Model (SUR-SDM). Di dalam penelitian SUR SDM diperlukan suatu pembobot yang digunakan untuk menghitung koefisien autokorelasi. Matriks pembobot yaitu matriks yang elemen-elemennya adalah nilai pembobot yang diberikan untuk perbandingan setiap daerah tertentu. Metode penentuan matriks pembobot dalam penelitian ini dengan menggunakan Queen Contiguity dan pembobot customize. Penelitian ini bertujuan untuk mendeskripsikan kemiskinan dan pengangguran serta faktor – faktor yang diduga mempengaruhinya menggunakan metode SUR-SDM dengan bobot Queen Contiguity dan Customize. Adapun variabel-variabel yang digunakan yaitu Variabel respon terdiri dari persentase rumah tangga miskin (%) (y1) dan angka pengangguran (%)(y2). Sedangkan variabel bebasnya yaitu terdiri dari: persentase jumlah sarana pelayanan kesehatan meliputi posyandu, poliklinik, puskesmas, puskesmas pembantu, dokter praktek, klinik bersalin, dan pos KB (%) (x1), persentase jumlah sarana sekolah meliputi TK, SD, SLTP, SMU, dan SMK (%) (x2), persentase penduduk yang bekerja di sektor pertanian (%) (x3), persentase rumah tangga yang menggunakan air bersih (PDAM) (%) (x4), dan rasio penduduk yang belum tamat SD (x5). Hasil yang didapat yaitu pemodelan SUR-SDM dengan bobot Customize menghasilkan nilai R-Square yang lebih kecil dibandingkan bobot queen di kedua variable respon yaitu sebesar 80.60% dibandingkan queen sebesar 80.64 untuk variable kemiskinan dan untuk variable pengangguran bobot Customize mengasilkan nilai 92.51% lebih kecil disbanding queen sebesar 92.53%
Analisis Regresi Logistik Ordinal Faktor-Faktor yang Mempengaruhi IPK Mahasiswa Dwi Utami Setyawati; Baiq Dewi Korida; Baiq Rika Ayu Febrilia
Jurnal Varian Vol 3 No 2 (2020)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v3i2.615

Abstract

Setiap mahasiswa memiliki perbedaan dalam mengikuti proses pembelajaran yang akan mempengaruhi prestasi belajarnya atau yang biasa dikenal dengan Indeks Prestasi Kumulatif (IPK). Untuk meningkatkan IPK mahasiswa dan kualitas proses pembelajaran di kelas, maka penting untuk diketahui faktor-faktor yang mempengaruhinya. Faktor-faktor yang akan diuji tersebut diantaranya jurusan SMA dan asal daerah mahasiswa. Analisis faktor-faktor tersebut dapat menggunakan analisis regresi logistik ordinal yang mana setiap variabelnya dikategorikan menggunakan skala tertentu. Penelitian ini menggunakan data mahasiswa Program Studi Pendidikan Matematika angkatan 2010-2013 yang lulus pada tahun 2017 dan 2018. Hasil penelitian menunjukkan bahwa kedua factor tersebut berpengaruh secara signifikan terhadap IPK mahasiswa. Penelitian ini diharapkan dapat menjadi salah satu sumber referensi dalam meningkatkan kualitas mahasiswa di program studi.
ARDL METHOD: Forecasting Data Curah Hujan Harian NTB Ulul Azmi; Zilullah Nazir Hadi; Siti Soraya
Jurnal Varian Vol 3 No 2 (2020)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v3i2.627

Abstract

Penelitian ini berisi tentang prediksi atau forecasting data iklim di Nusa Tenggara Barat (NTB) tahun 2011, yakni jumlah hari terjadinya hujan dengan menggunakan metode Autoregressive Distributed Lag (ARDL). Data yang digunakan yaitu data iklim di Nusa Tenggara Barat (NTB) dari tahun 2006 -2010, dengan menggunakan beberapa parameter error seperti Mean Absolute Deviation (MAD), Mean Squared Error (MSE), Root Mean Squared Error (RMSE) dan Mean Absolute Percentage Error (MAPE). Berdasarkan hasil simulasi data iklim di Nusa Tenggara Barat (NTB) tersebut, diperoleh prediksi jumlah hari terjadinya curah hujan pada tahun 2011 sebesar 226 hari dengan nilai MAD 20,8069, MSE 3,5569, RMSE 1,88597, dan MAPE 11,9297 . Dan prediksi jumlah hari terjadinya hujan pada tahun 2011 sebanyak 225,928 hari atau jika di bulatkan menjadi 226 hari dengan nilai parameter error MAD sebesar 20,8069, sehingga dapat disimpulkan pada tahun 2011 terjadi peningkatan jumlah hari terjadinya hujan di Nusa Tenggara Barat (NTB).
Aplikasi Model Predictive Control (MPC) Pada Optimasi Portofolio Komoditas Wawan Hafid Syaifudin; Ulil Azmi
Jurnal Varian Vol 3 No 2 (2020)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v3i2.646

Abstract

Komoditas merupakan salah satu jenis investasi yang disediakan oleh pasar modal kepada investor. Dalam investasi komoditas, terdapat dua hal yang menjadi pertimbangan investor, yaitu return dan risiko. Tujuan utama dalam investasi komoditas adalah memaksimalkan return dengan tingkat risiko tertentu atau meminimalkan risiko dengan tingkat return tertentu. Penentuan portofolio komoditas yang optimal merupakan salah satu hal yang sangat penting bagi kalangan investor. Pada penelitian ini digunakan metode pengendali Model Predictive Control (MPC) untuk menyelesaikan permasalahan optimasi portofolio komoditas dengan adanya kendala di dalam pembentukan portofolio. Data yang digunakan adalah data 3 komoditas yang diperdagangkan, yaitu emas, tembaga, dan minyak. Pengendali MPC dapat diterapkan dengan baik pada permasalahan optimasi portofolio komoditas. Dari hasil simulasi terlihat bahwa jumlah modal yang dimiliki investor yang merupakan output dari sistem menunjukkan peningkatan yang signifikan. Kenaikan ini terjadi karena jumlah modal yang diinvestasikan pada portofolio komoditas berusaha untuk mencapai reference trajectory yang ditetapkan. Selain itu state dan input dari sistem selalu berada di dalam batas constraint yang diberikan.

Page 4 of 18 | Total Record : 178

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