Article Per Year (5 Year)
p-Index From 2021 - 2026
5.305
P-Index
This Author published in this journals
All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics LEMMA: Letters Of Mathematics Education MUST: Journal of Mathematics Education, Science and Technology BAREKENG: Jurnal Ilmu Matematika dan Terapan JOURNAL OF APPLIED INFORMATICS AND COMPUTING Eksakta : Berkala Ilmiah Bidang MIPA Pelita Eksakta Majalah Ilmiah Matematika dan Statistika (MIMS) Journal of Applied Data Sciences Journal of Science and Technology MATHunesa: Jurnal Ilmiah Matematika Journal of Mathematics UNP Mathematical Journal of Modelling and Forecasting Journal of Statistics and Data Science
Devni Prima Sari
Universitas Negeri Padang
Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Transportation Other

Published : 41 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 41 Documents
Search

 1   2   3   4   5 
Analisis Perhitungan Aktuaria Dana Pensiun Menggunakan Metode Projected Unit Credit Putriyana Nursal; Devni Prima Sari
Journal of Mathematics UNP Vol 8, No 1 (2023): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v8i1.12966

Abstract

The retired fund program is a program created by the government to ensure the needs and welfare of workers in old age, one of which is government employees. The problem of retired government employees in Indonesia is one of the burdens for the government, this is because retired funds are carried out using a pay as you go system. Retired fund management can also be managed using a fully funded system, where the implementation of a fully funded system can be carried out using the Projected Unit Credit Constant Dollar and Constant Percent methods. The calculation results show that the normal contribution using the Constant Percent method has increased significantly before entering retirement age compared to the Constant Dollar method. The amount of actuarial obligation using the Constant Dollar method is greater than using the Constant Percent method. Retired benefits obtained by retirees using the Constant Dollar method are greater than the Constant Percent method.
Cadangan Premi Asuransi Jiwa Berjangka dan Asuransi Jiwa Dwiguna Menggunakan Metode Premium Sufficiency Gusvira Widuri; Devni Prima Sari
Journal of Mathematics UNP Vol 8, No 1 (2023): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v8i1.13019

Abstract

Life insurance is the payment of money given from the death of insured to the heirs according to the provisions of the polis. The are four types of life insurance, namely whole life insurance, term life insurance, and endowment life insurance. The amount of compensation obtained depends on the amount of premium paid. The benefit of paying premiums is as preparation for the payment of the sum assured. The company needs to prepare a reserve fund called a premium reserve which is needed to cover claims of insurance participants that can occur at any time. There are several ways to calculate premium reserves, one of which can be used is the premium sufficiency method. Finding out how to calculate premium reserves using the premium sufficiency approach is the goal of this study. The calculation of reserves using the premium sufficiency method uses a gross premium which can provide a clear indication of the total cost required and the amount of reserves that the insurance company must provide. 
Kajian Efektivitas Metode Branch and Bound dan Metode Cutting Plane dalam Optimasi Jumlah Produksi di BSL Store Tri Rahmayani; Devni Prima Sari
Journal of Mathematics UNP Vol 7, No 2 (2022): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (289.232 KB) | DOI: 10.24036/unpjomath.v7i2.12659

Abstract

BSL Store is one of the Small and Medium Enterprises (SME) in Tangerang Regency. The UKM produces various types of footwear, including leather shoes, sports shoes, casual shoes, and sandals. In order to increase sales profits and avoid product buildup resulting from a decline in market demand. BSL Store needs to optimize the amount of production to maximize profits or minimize losses by using the Branch and Bound and Cutting Plane methods in solving linear integer programming problems. Based on the research, we get the same results for Branch and Bound method and the Cutting Plane method. BSL Store must produce 531 pairs of leather shoes, 744 pairs of sports shoes, 676 pairs of casual shoes, and 826 pairs of sandals get an optimum profit of Rp.62,080,000.00 it means that these two methods can be used by BSL Store in determining the amount of production BSL Store.
Analisis Sensitivitas Model Black-Litterman Menggunakan Treynor Ratio pada Portofolio Saham Puja Ermiati; Devni Prima Sari
Journal of Mathematics UNP Vol 7, No 1 (2022): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (638.47 KB) | DOI: 10.24036/unpjomath.v7i1.10370

Abstract

Investment is an activity that can not separate from return and risk, so that forming portfolio is important to risk minimizing and profit optimizing. One of way to optimizing portfolio is using Black-Litterman model. This model is model that combine equilibrium return by CAPM eith investor’s views about return an asset. Purpose of this research are to form Black-Litterman model with tau calibration and measure the best portfolio performance with treynor ratio. This research used secondary data stock in LQ-45 index during August 2019-January 2020. Selecting portfolio by selecting high return expected CAPM are CPIN, WIKA, ADRO and CTRI. Forming portfolio using Black-Litterman model by  calibration so obtain the best measure performance by Treynor Ratio are 0,12142 with =1 and potfolio return 0,26445
Kajian Analisis Faktor pada Faktor yang Mempengaruhi Produksi Padi di Nagari Cupak Kabupaten Solok Rohadatul Aisy; Devni Prima Sari
Journal of Mathematics UNP Vol 8, No 2 (2023): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v8i2.14213

Abstract

Solok district is the largest rice producing center in West Sumatra, known as "Bareh Solok", with most of the population working as farmers. Increased production is influenced by factors such as land area, labor, seeds, fertilizers, capital, pesticides, and irrigation. These seven factors are interconnected and related to each other, so the purpose of this study was to determine the factors that influence rice production in Nagari Cupak, Gunung Talang District, Solok Regency. The type of research used is applied research. This study has a sample of 89 respondents. Furthermore, in the analysis using factor analysis method. The results of this study indicate that the first factor consists of land area, labor, seeds and pesticides. The second factor consists of fertilizer, capital and pesticide variables
Data Analysis and Visualization Training on Microsoft Excel Using Artificial Intelligence At SMA N 1 Ampek Angkek Kabupaten Agam Tessy Octavia Mukhti; Fadhilah Fitri; Devni Prima Sari
Pelita Eksakta Vol 6 No 2 (2023): Pelita Eksakta, Vol. 6, No. 2
Publisher : Fakultas MIPA Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/pelitaeksakta/vol6-iss2/212

Abstract

Based on observations and discussions with several teachers at SMA N 1 Ampek Angkek Kabupaten Agam, problems were found in describing and analyzing the significance of the development of students' abilities. The next problem which is no less important is the difficulty of measuring the effectiveness of the teaching materials used in the classroom. To improve the quality of learning, teachers are required to optimize the learning process by making students actively involved and making learning more interesting for them. To overcome this problem, data analysis and visualization training was carried out in Microsoft Excel using artificial intelligence at SMA N 1 Ampek Angkek Kabupaten Agam.
Prediksi Penyakit Diabetes Dengan Naive Bayes Wardana, Yuni; Sari, Devni Prima
Journal of Mathematics UNP Vol 8, No 3 (2023): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v8i3.15070

Abstract

Diabetes is one of the top ranked diseases for non-communicable diseases which is top cause of death worldwide. Every year 442 million people worldwide have diabetes and 1.6 million people die due to diabetes. With increasing cases of diabetes every year, this detection may need to be done before diabetes occurs. So a research was conducted on diabetes prediction using the Naïve Bayes method. According to the Naïve Bayes model, people with diabetes have a 28% chance of developing diabetes and a 72% chance of not having diabetes. And this research achieved 94% accuracy, 95% precision, and 98% recall.
Analisis Pemilihan Supplier Bahan Baku Menggunakan Multi-Choice Goal Programming (Studi Kasus: Jagung Super Manis F1 Aina Batuhampar) Filfiqri, Hamimatul; Sari, Devni Prima
Journal of Mathematics UNP Vol 7, No 4 (2022): Journal Of Mathematics UNP
Publisher : UNIVERSITAS NEGERI PADANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/unpjomath.v7i4.13835

Abstract

Supplier selection is a stage to determine the best suppliers needed by industry players to provide materials or raw materials in the production process. To obtain quality raw materials, companies must be selective in choosing suppliers. The study aims to facilitate the decision-making process in selecting raw material suppliers for Aina Batuhampar Super Sweet Corn F1 with Multi-Choice Goal Programming. This study analyzes the loss value for each criterion with the TLF and determines the weight value of each criterion with the AHP. These represent both of them the coefficients of MCGP is to determine the best supplier using Lindo software. The objective function by calculating using Lindo, we conclude that the best supplier priorities for Aina Batuhampar's F1 super sweet corn sequentially E, A, C, D, and B with respective cost are Rp. 7.175, Rp. 92.534, Rp. 104.222, Rp. 110.171, and Rp. 110.603.
Analisis Algoritma LSTM dan SVR untuk Memprediksi Saham Perbankan di Pasar Indonesia Agustina, Dina; Sari, Devni Prima
JOSTECH Journal of Science and Technology Vol 4, No 2: September 2024
Publisher : UIN Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/jostech.v4i2.9886

Abstract

Penelitian ini membahas analisis komparatif algoritma Long Short-Term Memory (LSTM) dan Support Vector Regression (SVR) untuk memprediksi harga saham dari empat bankdi Indonesia: Bank BCA (BBCA.JK), Bank BNI (BBNI.JK), Bank BRI (BBRI.JK), dan Bank Mandiri (BMRI.JK). Studi ini dikarenakan semakin pentingnya prediksi harga saham yang akurat di pasar saham Indonesia untuk pengambilan keputusan yang lebih baik di sektor perbankan. Metodologi yang digunakan melibatkan pelatihan model LSTM dan SVR dengan menggunakan data saham historis dan mengevaluasi kinerja prediksi dengan menggunakan Root Mean Square Error (RMSE). Tujuannya adalah untuk mengetahui algoritma mana yang memiliki akurasi prediktif yang lebih baik untuk saham perbankan di pasar Indonesia. Hasilnya menunjukkan perbedaan yang mencolok dalam nilai RMSE antara model LSTM dan SVR pada bank-bank yang dipilih. LSTM menghasilkan nilai RMSE sebesar 84.2712, 103.7936, 15.5974, dan 26.8980 untuk masing-masing bank, sementara SVR menunjukkan nilai RMSE yang lebih rendah, yaitu 4.9627, 5.4234, 5.4234, dan 2.5470. Hasil penelitian menunjukkan bahwa algoritma SVR lebih baik dibandingkan LSTM dalam memprediksi harga saham perbankan, serta menunjukkan potensi penerapannya di pasar saham Indonesia untuk meningkatkan proses pengambilan keputusan investasi.
Klasifikasi kepuasan mahasiswa matematika UNP terhadap kualitas pelayanan Go-Food pada Gojek dengan metode naïve Bayes Mirnawati, Mirnawati; Sari, Devni Prima
Majalah Ilmiah Matematika dan Statistika Vol. 24 No. 2 (2024): Majalah Ilmiah Matematika dan Statistika
Publisher : Jurusan Matematika FMIPA Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/mims.v24i2.42827

Abstract

The development of Go-Food services in the surrounding community, including UNP Mathematics students, has caused various reactions, namely satisfaction and dissatisfaction with the services provided. Several factors are thought to result in Go-Food services being less than optimal based on the opinions of several experts, namely reviews of prices, payments, promotions, driver performance and suitability of specifications. Based on the results of distributing research questionnaires, there are several factors that cause students to be satisfied using Go-Food services and some are dissatisfied. The field of data mining science that will help companies to overcome this problem is classification techniques. Classification techniques in data mining will produce a classification model obtained from input in the form of training data, which has class variables. The classification model will map data object X to one of the previously defined classes Y. The classification method used is Naïve Bayes, which is defined as a combination of naïve and Bayes' theorem and produces the assumption that one independent variable is independent of each other. This research uses 44 training data and 44 test data. This classification presents the data into 50% training data and 50% testing data. The results of the classification of UNP Mathematics students' satisfaction with the quality of Go-Food services at Gojek using the naïve Bayes method obtained an accuracy of 86.3% and an APER value of 13.3%. This means that the naïve Bayes classification results are in the good classification range, which is concluded as good classification results. Keywords: Classification, go-food, service quality, naïve bayes, APER.MSC2020: 62C10
Co-Authors 1004, Anisa Adellia, Clara Febby Adhitya Ronnie Effendie, Adhitya Ronnie Afifah Humayrah Afifah, Wardah Hasna Anggraini, Fira arsilla uswatunnisa Danardono Danardono Dedi Rosadi Deswita, Siska Dina Agustina Dina Agustina, Dina Dina Fakhriyana Emmelia Safani Fadhilah Fitri Febri, Fera Malianis Filfiqri, Hamimatul Gulo, Trimodesman Hardinsyah Gusvira Widuri irwandi irwandi Jayawarsa, A.A. Ketut Jeri Jefrianto Lestari, Adika Risky Media Rosha Medika, Amelia Nurul Miftha Delinda Muhammad Rashif Hilmi Pepi Novianti Prastika, Ifa Pratama, Tasya Putri Puja Ermiati Putri, Elisa Ananda Putri, Muthiara Hazimah Putri, Rahma Dana Putriyana Nursal Rara Sandhy Winanda Riri Indriani Rohadatul Aisy Sadli, Wanda Hamidah Soleha, Annisa Sumita, Nurmaya Tessy Octavia Mukhti Tri Rahmayani Ulfasari Rafflesia Wardana, Yuni Yolandafitri Zulvia