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All Journal Statistika Science and Technology Indonesia Jurnal Penelitian Sains Jurnal Pengabdian Pada Masyarakat Seminar Nasional Lahan Suboptimal Journal of Engineering and Scientific Research (JESR) Indonesian Journal of Engineering and Science (IJES) Inovasi Matematika (Inomatika) Prosiding Seminar Nasional Unimus

Yulia Resti

Jurusan Matematika Fakultas MIPA Universitas Sriwijaya,Jl. Raya Palembang-Prabumulih Km.32 Inderalaya 30662, Ogan Ilir, SumateraSelatan

Author-ID : 359641

Agriculture, Biological Sciences & Forestry Humanities 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 Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Physics Public Health Other

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Sistem Pengelompokan Jenis Kaleng Bekas Berdasarkan Model Warna CMYK Burlian, F.; Fusito, Fusito; Yani, I.; Resti, Yulia
Seminar Nasional Lahan Suboptimal 2019: Prosiding Seminar Nasional Lahan Suboptimal ?Smart Farming yang Berwawasan Lingkungan untuk Ke
Publisher : Seminar Nasional Lahan Suboptimal

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (992.842 KB)

Resti Y, Burlian F, Fusito F, Yani I. 2019. Grouping system of the used cans type based on CMYK color model. In: Herlinda S et al. (Eds.), Prosiding Seminar Nasional Lahan Suboptimal 2019, Palembang 4-5 September 2019. pp. 338-344. Palembang: Unsri Press The automatic sorting process in the recycling industry requires a grouping system. This research aims to build a grouping system of used cans into three types; aluminum, tin plate and aerosols. The grouping is done based on the Cyan, Magenta, Yellow, and BLacK (CMYK) color models of the image of the used cans which are captured using a digital camera when placed on a conveyor belt. The grouping method used is a statistical method based on the Bayes theorem and the assumption of independence on the input variables. The results obtained show that the Naïve Bayes method is able to group used cans by type with an accuracy rate greater than 82%.Keywords: accuracy rate, digital images, naïve bayes

Analisis Perbedaan Tingkat Suku Bunga pada Perhitungan Jaminan Hari Tua (JHT) Ning Eliyati; Endang Sri Kresnawati; Yulia Resti; Fitri Puspasari
Jurnal Penelitian Sains Vol 18, No 3 (2016)
Publisher : Faculty of Mathtmatics and Natural Sciences

The purpose of this paper is to analyze the difference in interest rates on the calculation of pension funding. The interest rate varies grouped based on the rules set by the fuzzy numbers trapezoidal membership function. The results showed that the trapezoidal membership function and value of tolerance 0.02 earned four interest rate is 3.76%, 5.76%, 11.83% and 13.83%. The lower the interest rate, the lower the pension contribution paid, as well as actuarial liabilities, and conversely, the greater the interest rate, old age insurance contributions and actuarial liabilities is getting smaller.

Kajian Algorotma Qr Dengan Shift dan Algoritma Qr Ganda dalam Menghitung Nilai Eigen Suatu Matriks Yulia Resti
Jurnal Penelitian Sains No 18 (2005)
Publisher : Faculty of Mathtmatics and Natural Sciences

Penelitian ini bertujuan untuk mengkaji kualitas, kompleksitas waktu dan keuniversalan algoritma QR dengan shift dan algoritma QR Ganda dalam menghitung nilai eigen suatu matriks. Lgoritma QR dengan shift memiliki laju kekonvergenan dengan rasio |(ln-k)/( ln-1-k)| dengan memilih k sangat mendekati ln yaitu, kompleksitas O(n2) dan memiliki keuniversalan kekonvergenan jika tak satupun nilai eigen matriks A modulusnya sama. Algoritma QR ganda rasio laju kekonvergenannya |(ln-k1) (ln-k2)/( ln-1-k1) ( ln-1-k2)|, kompleksitas waktu O(n2) dan tidak memiliki keuniversalan kekonvergenan karena algoritma QR ganda dikembangkan khusus untuk matriks A yang memiliki beberapa nilai eigen kompleks yang modulusnya sama.

Metode Reed-Merrel dalam Menyusun Tabel Kematian Singkat (Abridged Life Table) dengan Pendekatan Integral Euler-Maclaurin Yulia Resti
Jurnal Penelitian Sains Vol 10, No 1 (2007)
Publisher : Faculty of Mathtmatics and Natural Sciences

Penelitian ini bertujuan menyusun Tabel Kematian Singkat (TKS) pada metode Reed-Merrell dengan pendekatan integral Euler-MacLaurin dan menerapkannya pada data penduduk Kecamatan Rambutan Jakarta Selatan tahun 1990. Dengan pendekatan tersebut, diperoleh tiga komponen utama TKS. Komponen pertama adalah nmx=mx+(n/2), komponen kedua , dan komponen terakhir . Dengan menerapkannya pada data diperoleh usia harapan hidup penduduk wanita 59,4112 tahun sedangkan penduduk pria 53,8197 tahun.

Kajian Pengaruh Kenaikan Uang Santunan yang Berubah-Ubah Terhadap Nilai Cadangan Retrospektif pada Asuransi Jiwa Dwiguna Syariah Bambang Suprihatin; Yulia Resti
Jurnal Penelitian Sains Vol 10, No 2 (2007)
Publisher : Faculty of Mathtmatics and Natural Sciences

Tujuan dari penelitian ini adalah mengevaluasi pengaruh peningkatan pendapatan yang tak konstan cadangan yang ada di Asuransi Jiwa Syariah. Dengan keuntungan, nilai cadangan akan bertambah untuk semua batas dalam setiap tahunnya sampai asuransi selesai hanya jika laju penanaman modal menurun dan sebaliknya.

Estimasi Risk Premium Untuk Asuransi Kumpulan Dengan Model Compound Poisson-Eksponensial Yulia Resti
Jurnal Penelitian Sains No 19 (2006)
Publisher : Faculty of Mathtmatics and Natural Sciences

Penelitian ini bertujuan mengestimasi risk premium asuransi kumpulan menggunakan model Compound Poisson-Eksponensial dengan teori Credibility. Dengan mengasumsikan klaim aggregate masing-masing kelompok saling bebas dan berdistribusi compound Poisson, dan besarnya klaim berdistribusi eksponensial siperoleh bahwa estimasi risk premium masing-masing kelompok asuransi kumpulan dominan dipengaruhi oleh kelompoknya sendiri.

Metode Interpolasi Modifikasi Kostaki dalam Menentukan Peluang Meninggal untuk Premi Asuransi Jiwa Berjangka Yulia Resti; Andi Eka Putra; Des Alwine Zayanti
Jurnal Penelitian Sains Vol 22, No 3 (2020)
Publisher : Faculty of Mathtmatics and Natural Sciences

Asuransi jiwa berjangka n-tahun merupakan produk asuransi jiwa dimana tertanggung akan menerima manfaat jika risiko yang dipertanggungkan selama n-tahun terjadi sebelum n-tahun berakhir. Penentuan premi produk asuransi jiwa berjangka n-tahun memerlukan peluang meninggal dalam interval usia satu-tahunan. Penelitian ini membahas tentang penentuan peluang meninggal interval usia satu-tahunan menggunakan metode interpolasi Kostaki Modifikasi dengan Lagrange 6 titik dan metode interpolasi Kostaki Modifikasi dengan Heligman-Pollard dari tabel mortalita ringkas Amerika 2010 dimana hasil interpolasi terbaik yang diperoleh digunakan untuk menentukan premi asuransi jiwa berjangka. Hasil penelitian menunjukkan bahwa hasil interpolasi peluang meninggal interval usia satu-tahunan menggunakan metode interpolasi Kostaki Modifikasi dengan Lagrange 6 titik lebih baik daripada hasil interpolasi modifikasi dengan Heligman-Pollard, baik berdasarkan nilai MAE. Hasil ilustrasi perhitungan premi untuk produk asuransi berjangka menunjukkan bahwa peluang meninggal interval usia satu-tahunan diperlukan untuk mendapatkan nilai premi yang lebih akurat dan perbedaan peluang meninggal dalam interval usia satu-tahunan dan interval usia lima-tahunan signifikan mempengaruhi perhitungan premi asuransi jiwa berjangka.

Pemodelan Klaim Asuransi Kendaraan Bermotor dengan Regresi ZAIG Yulia Resti; Noriszura Ismail; Saiful Hafizah Jaaman
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 10, No 2 (2010)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v10i2.1018

In motor insurance pricing based on risk of policyholder, modeling claim is the most important step.The modeling includes two main models there are model which relates to event of claims and modelthe cost of claims submitted to insurance companies. Most studies modeling the cost of claimsinvolving only the amount of claims which are positive, i.e. when an accident happens and then thepolicyholder filed a claim with the claims cost is greater than zero. In one period of insurance, there’repolicyholders who have not had an accident and there’re policyholders who had an accident but doesnot have claim, in this case is said to the claims cost is zero. This paper investigate theimplementation ZAIG (Zero Adjusted Inverse Gaussian) regression on the model of automobileinsurance claims that involve the cost of claims that zero and positive use data supported byInsurance Services Malaysia (ISM) Berhard. By regression ZAIG note that both the event and theaverage of claim cost significantly affected by the premium.

ESK Pengaruh Penerapan Konsep Matematika Gasing dalam Meningkatkan Kemampuan Penjumlahan Bilangan Bulat Guru SDIT Auladi Plaju Endang Sri Kresnawati; Novi Rustiana Dewi; Bambang Suprihatin; Yulia Resti
Jurnal Pengabdian Pada Masyarakat Vol 6 No 4 (2021)
Publisher : Universitas Mathla'ul Anwar Banten

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30653/002.202164.882

THE EFFECT OF MATEMATIKA GASING CONCEPTS APPLICATION IN IMPROVING THE ADDITION SKILL OF SDIT AULADI PLAJU TEACHERS. The teacher is the spearhead of the mathematics learning process at the elementary school level (SD). The SD curriculum applies a thematic system, where lower-level classes, grades 1, 2, and 3 are guided by a class teacher who is responsible for delivering material for all subjects. Includes math subjects. Problems arise when the teacher does not master the material, mathematical concepts. This is due to the background of most classroom teachers not from the field of mathematics. One of the approaches used to help increase teachers' knowledge is Gasing mathematics. In accordance with the level, the mathematical concept conveyed in the training is addition. The activity method is a general lecture and demonstration using simple props and items in the school environment. The evaluation results showed an increase in the participants' abilities by 55% compared to before. This means that the top method has succeeded in increasing the teacher's ability to complete additions more quickly and correctly.

Performance Improvement of Decision Tree Model using Fuzzy Membership Function for Classification of Corn Plant Diseases and Pests Yulia Resti; Chandra Irsan; Muflika Amini; Irsyadi Yani; Rossi Passarella; Des Alwine Zayantii
Science and Technology Indonesia Vol. 7 No. 3 (2022): July
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Corn is an essential agricultural commodity since it is used in animal feed, biofuel, industrial processing, and the manufacture of non-food industrial commodities such as starch, acid, and alcohol. Early detection of diseases and pests of corn aims to reduce the possibility of crop failure and maintain the quality and quantity of crop yields. A decision tree is a nonparametric classification model in statistical machine learning that predicts target variables using tree-structured decisions. The performance of this model can increase significantly if the continuous predictor variables are discretized into valid categories. However, in some cases, the result does not provide satisfactory performance. The possible cause is the ambiguity in discretizing predictor variables. The incorporation of fuzzy membership functions into the model to resolve discretization ambiguity issues. This work aims to classify diseases and pests of corn plants using the decision tree model and improve the model’s performance by implementing fuzzy membership functions. The main contribution of this work is that we have shown a significant improvement in the decision tree model performance by implementing fuzzy membership functions; S-growth, triangle, and S-shrinkage curves. The proposed fuzzy model is better than the decision tree model, with an average performance increase from the largest to the smallest; kappa (12.16%), recall (11.8%), F-score (9.71%), precision (5.08%), accuracy (3.23%), specificity (1.94%), and AUC (0.49%). The combination of bias and variance generated by the proposed model is quite small, indicating that the model is able to capture data trends well.

Co-Authors A. S. Mohruni Akbar Teguh Prakoso Andi Eka Putra Anita Desiani Ansyori Ansyori Ansyori Ansyori Ansyori Yani Anthony Costa Arhami, Muhammad Astuti Astuti Bambang Suprihatin Bambang Suprihatin Bambang Suprihatin Bambang Suprihatin Bambang Suprihatin Burlian, F. Chandra Irsan Chandra Irsan Chandra Irsan Des A. Zayanti Des Alwine Zayanti Des Alwine Zayanti Des Alwine Zayanti Des Alwine Zayanti Des Alwine Zayanti, Des Alwine Des Alwine Zayantii Desi Herlina Saraswati Dewi Puspitasari Endang S Kresnawati Endang S. Kresnawati Endang Sri Kresnawati Endang Sri Kresnawati Endang Sri Kresnawati Endang Sri Kresnawati Endang Sri Kresnawati F Nasution F. A. Alhamdini Firmansyah Burlian Firmansyah Burlian Firmansyah Burlian Fitri Puspasari Fusito Fusito I Yani Indah Meiliana Sari Irsyadi Yani Ismail Thamrin Jeremy Firdaus Latif M. Rendy Kurniawan Mauizzatil Rahmayani Mega Tiara Putri Muflika Amini Muhammad Nawawi Ning Eliyati Ning Eliyati Ning Eliyati Ning Eliyati Ning Eliyati Ning Elyati Noriszura Ismail Novi R. Dewi Novi Rustiana Dewi Novi Rustiana Dewi Novi Rustiana Dewi Rossi Passarella Saiful Hafizah Jaaman Shohif Wijaya Sugandi Yahdin Titania Jeanni Charissa Widya Ayu Amanda Winoto Chandra Yani, I. Zulkarnain Zulkarnain

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