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All Journal E-Jurnal Ekonomi Pembangunan Universitas Udayana CAUCHY: Jurnal Matematika Murni dan Aplikasi Telematika : Jurnal Informatika dan Teknologi Informasi Journal of Innovation and Applied Technology Natural B Prosiding Seminar Nasional Teknoka BAREKENG: Jurnal Ilmu Matematika dan Terapan Agrisocionomics: Jurnal Sosial Ekonomi Pertanian COMSERVA: Jurnal Penelitian dan Pengabdian Masyarakat DIDAKTIKA
Indah Yanti
Jurusan Matematika Fakultas MIPA Universitas Brawijaya Jalan Veteran Malang 65145
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Stability of Cancerous Chemotherapy Model with Obesity Effect Yanti, Indah; Habibah, Ummu
CAUCHY Vol 5, No 4 (2019): CAUCHY
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (887.045 KB) | DOI: 10.18860/ca.v5i4.4558

Abstract

In this paper we present stability of cancerous chemotherapy model with obesity effect. This is a four-population model that includes immune cells, cancer cells, normal cells, and fat cells. The analytical result shows that there are four equilibrium points in case the drugs given and fat cells were not equal to zero, i.e., dead equilibrium, total cancer invasion equilibrium, cancer-free equilibrium, and coexistence equilibrium. Some numerical simulation also presented to illustrate the results.
PENGARUH KURS VALUTA ASING, INFLASI DAN JUMLAH PRODUKSI TERHADAP EKSPOR MEBEL DI PROVINSI BALI Yanti, Indah; Indrajaya, I Gusti Bagus
E-Jurnal Ekonomi Pembangunan Universitas Udayana Vol 10 No 8 (2021): VOL 10 NO 8, AGUSTUS 2021 [3104 - 3527]
Publisher : E-Jurnal Ekonomi Pembangunan Universitas Udayana

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Abstract

Perdagangan Internasional dapat mempengaruhi pertumbuhan ekonomi suatu negara melalui peningkatan produktivitas dalam negeri terutama industri manufaktur yang berorientasi ekspor. Industri mebel Provinsi Bali merupakan salah satu dari sepuluh besar komoditas industri yang menembus pasar ekspor. Perkembangan ekspor mebel berfluktuasi disebabkan karena adanya peraturan perundang-undangan legalitas akan kayu yang digunakan dalam memproduksi industri mebel di Bali. Penelitian ini bertujuan untuk mengetahui bagaimana pengaruh dari tiga faktor ekonomi yaitu kurs valuta asing, inflasi dan jumlah produksi terhadap ekspor mebel di Provinsi Bali. Data yang digunakan dalam penelitian merupakan data sekunder dengan periode tahun 2009-2017 dalam bentuk triwulan. Teknik analisis yang digunakan adalah regresi linear berganda dengan program aplikasi SPSS. Berdasarkan hasil analisis dari pengujian secara simultan diketahui bahwa ketiga variabel bebas memiliki pengaruh signifikan terhadap ekspor mebel. Sedangkan dari hasil penelitian diperoleh hasil secara parsial kurs valuta asing tidak berpengaruh, inflasi tidak berpengaruh dan jumlah produksi tidak berpengaruh terhadap ekspor mebel.
Backpropagation with BFGS Optimizer for Covid-19 Prediction Cases in Surabaya Zuraidah Fitriah; Mohamad Handri Tuloli; Syaiful Anam; Noor Hidayat; Indah Yanti; Dwi Mifta Mahanani
Telematika Vol 18, No 2 (2021): Edisi Juni 2021
Publisher : Jurusan Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/telematika.v18i2.5454

Abstract

Covid-19 is a new type of corona virus called SARS-CoV-2. One of the cities that has contributed the most to infected Covid-19 cases in Indonesia is Surabaya, East Java. Predicting the Covid-19 is the important thing to do. One of the prediction methods is Artificial Neural Network (ANN). The backpropagation algorithm is one of the ANN methods that has been successfully used in various fields. However, the performance of backpropagation is depended on the architecture and optimization method. The standard backpropagation algorithm is optimized by gradient descent method. The Broyden - Fletcher - Goldfarb - Shanno (BFGS) algorithm works faster then gradient descent. This paper was predicting the Covid-19 cases in Surabaya using backpropagation with BFGS. Several scenarios of backpropagation parameters were also tested to produce optimal performance. The proposed method gives better results with a faster convergence then the standard backpropagation algorithm for predicting the Covid-19 cases in Surabaya.
Enzymatic Reaction Model Parameter Estimation of Biodiesel Synthesis Using Particle Swarm Optimization Syaiful Anam; Indah Yanti; Wuryansari Muharini K.
Natural B, Journal of Health and Environmental Sciences Vol 1, No 1 (2011)
Publisher : Natural B, Journal of Health and Environmental Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (761.486 KB) | DOI: 10.21776/ub.natural-b.2011.001.01.2

Abstract

The increasing number of vehicles and industries that emit exhaust gas emissions that cause air pollution close to the threshold of a dangerous man. Oil exploration major cause rapid depletion of petroleum. The discovery of biodiesel provides an alternative solution to the above, because biodiesel can reduce exhaust emissions and is a renewable alternative energy. Synthesis biodiesel can be done through an enzyme reaction that utilizes so-called biodiesel synthesis enzymatic reaction. Valid model enzymatic reaction is the key in the process of biodiesel synthesis reaction. This enzymatic reaction model contains the parameters to be estimated. Therefore, the determination of the parameters (parameter estimation) is an important enzyme kinetic. Parameter estimation can be performed using local optimization algorithms, but this algorithm has the major drawback is the optimal value obtained is a local optimal value. Therefore, in this research have been applied to global optimization algorithm, Particle Swarm Optimization for parameter estimation because it has the ability to find solutions quickly. Based on the simulation results obtained by the best parameter estimates as follows: k1=0.05000000000, k2=0.11000000000, k3=0.215000000000, k4=1.22799999999995, k5=0.24200000000000, k6=0.007000000000 and Sum Square Error is 2.51 x 10-27.
Pelatihan Pembelajaran Matematika Menggunakan Perangkat Lunak Matematika bagi Guru–Guru Matematika SMA/MA di Kabupaten Pasuruan Syaiful Anam; Agus Widodo; Indah Yanti; Corina Karim; Fery Widhiatmoko; Mochamad Hakim Akbar Assidiq Maulana
COMSERVA : Jurnal Penelitian dan Pengabdian Masyarakat Vol. 2 No. 7 (2022): COMSERVA : Jurnal Penelitian dan Pengabdian Masyarakat
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/comserva.v2i7.422

Abstract

Pasuruan Regency has natural resources that have the potential to be developed, especially in the fields of agriculture, plantations and tourism. In an effort to improve the quality of human resources, improving the level of education is an important thing to do. One way to increase the number of people's participation in education is to improve the quality of learning so that people are interested in taking higher education levels. Learning media with mathematics software is expected to be able to visualize abstract mathematical objects so that it can improve students' understanding and encourage student learning motivation. GeoGebra is a mathematical software to visualize abstract mathematical objects quickly and accurately and can be used as a tool to construct mathematical concepts. One of the objectives of this activity is to improve the ability and skills of mathematics teachers in SMA/MA in Pasuruan Regency in developing mathematics learning media with GeoGebra software to visualize abstract mathematical objects (geometry objects). In addition, to improve the ability and skills of mathematics teachers in SMA/MA in Pasuruan Regency in explaining mathematical material containing geometric objects by utilizing Geogebra. The results of the training showed that the ability and skills of SMA/MA teachers in Pasuruan Regency increased significantly in the development of teaching media and in explaining geometric objects by using Geogebra.
Prediksi Jumlah Penderita COVID-19 di Kota Malang Menggunakan Jaringan Syaraf Tiruan Backpropagation dan Metode Conjugate Gradient Syaiful Anam; Mochamad Hakim Akbar Assidiq Maulana; Noor Hidayat; Indah Yanti; Zuraidah Fitriah; Dwi Mifta Mahanani
Prosiding Seminar Nasional Teknoka Vol 5 (2020): Prosiding Seminar Nasional Teknoka ke - 5
Publisher : Fakultas Teknik, Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta

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Abstract

COVID-19 is an infectious disease caused by infection with a new type of corona virus. This disease is very dangerous and causes death, especially for sufferers who have congenital diseases or who have low immunity. The disease is spread through droplets from the nose or mouth that come out when a person infected with COVID-19 coughs, sneezes or talks. The prediction of the number of COVID-19 sufferers is very important to prevent and combat the spread of this disease. The backpropagation neural network is a method that can be used to solve predictive problems with good results, but its performance is influenced by the optimization method used during training. In general, the optimization method used is the gradient descent method, but this method has slow convergence. The Conjugate Gradient method has very good convergence when compared to the gradient descent method. In this paper, we will discuss how to make a prediction model for the number of COVID-19 sufferers in Malang using the backpropagation neural network and the conjugate gradient method. The experimental results show that the prediction model gets good results when compared to artificial neural networks that are optimized by the gradient descent method.
Implementation of Integrated Farming System Technology Towards Sustainable Agriculture in the Kemiren Tourist Village, Banyuwangi Parmawati S.P., M.E., Rita; Yanti, Indah; Ramadhani, Ayu Winna; Risvita, Wuwun; Achsin, Muhaimin Zulhair; Rahmawati, Nadhea Oktaviantina; Gunawan, Fahdynia Karnira; Ashari, Fadhil Muhamad
Journal of Innovation and Applied Technology Vol 10, No 1 (2024)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jiat.2024.10.01.015

Abstract

Kemiren Village, Glagah District, Banyuwangi Regency is a tourist village where the majority of people work as farmers. Several problems arise starting from the narrowness of agricultural land which has been converted into lodging buildings and places to eat. The lack of farmers' knowledge of agricultural technology to process plants is a factor in reducing the production capacity of rice plants. The purpose of implementing this community service activity is to increase motivation to create healthy and sustainable agriculture and provide knowledge and skills in processing local resources into a system and product that has high economic value. The results obtained are integrated farming system as well as products from IFS such as chicken eggs, rice, vegetables and catfish which are healthy and of good quality because they use organic ingredients. 
SUSTAINABILITY OF OSING TRIBE FARMING IN KEMIREN VILLAGE, BANYUWANGI Parmawati, Rita; Yanti, Indah; Gunawan, Fahdynia Karnira; Rahmawati, Nadhea Oktaviantina; Ashari, Fadhil Muhamad
Agrisocionomics: Jurnal Sosial Ekonomi Pertanian Vol 8, No 2 (2024): June 2024
Publisher : Faculty of Animal and Agricultural Science, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/agrisocionomics.v8i2.20718

Abstract

Sustainable agricultural development offers benefits and environmental concerns, but challenges arise in land conversion processes in today's age. Kemiren Village, also known as Osing Village, is where most people are farmers. Rice production and farmers' income are decreasing yearly due to several factors that cause the importance of sustainable development planning. Based on these problems, this study aims to analyze the index and sustainability status of farming in Kemiran Village, Glagah District, Banyuwangi. This research instrument was carried out using observation, structured interviews, and distributed questionnaires, and it was analyzed by multi-dimensional scaling (MDS). The reliability test confirms all dimensions are reliable for sustainable status testing, the availability of rice pest predators influenced the ecological sustainability index value, the certification of rice seeds used, and the application of pesticides following recommendations. The economic sustainability index had savings, adequate farming equipment, and infrastructure facilities in the agricultural sector. Savings, adequate farming equipment, and adequate infrastructure facilities in the agricultural sector influenced the economic sustainability index. The sustainability status of sustainable agriculture needs to be considered with each dimension: ecological dimension 33.51, economic dimension 32.00, and social dimension 40.00 so that it is categorized as less sustainable because it is in the range of 25.01 - 50.00. MDS analysis shows that the error factor in each attribute was relatively small, in the differences in each respondent's assessment of the attributes studied, errors in entering data, and missing data.
No Correlation between Self-Directed Learning and Life Skills: How to Explain? Yanti, Indah; Antika, Linda Tri
DIDAKTIKA : Jurnal Penelitian Tindakan Kelas Vol. 1 No. 2 (2023): October 2023
Publisher : Lombok Institute

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Abstract

21st-century education demands students to possess learning and innovation skills, proficiency in using technology, information media literacy, and life skills. This research aims to determine the correlation between students' self-directed learning and life skills. The subjects of this study were XF class students, totalling 32 students. Self-directed learning was measured using a questionnaire, including students' interest in learning biology, self-efficacy, self-assessment, and self-reaction. Meanwhile, life skills were measured using an observation sheet covering interpersonal skills, goal setting and collaborative achievement, responsibility, and management. Learning was conducted by implementing guided inquiry-based learning. This research is a correlational study using regression correlation through the SPSS program. The results of this study indicate no correlation between self-directed learning and students' life skills. Guided inquiry remains a reference in efforts to empower self-directed learning and life skills.
HEALTH CLAIM INSURANCE PREDICTION USING SUPPORT VECTOR MACHINE WITH PARTICLE SWARM OPTIMIZATION Anam, Syaiful; Putra, M. Rafael Andika; Fitriah, Zuraidah; Yanti, Indah; Hidayat, Noor; Mahanani, Dwi Mifta
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 2 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss2pp0797-0806

Abstract

The number of claims plays an important role the profit achievement of health insurance companies. Prediction of the number of claims could give the significant implications in the profit margins generated by the health insurance company. Therefore, the prediction of claim submission by insurance users in that year needs to be done by insurance companies. Machine learning methods promise the great solution for claim prediction of the health insurance users. There are several machine learning methods that can be used for claim prediction, such as the Naïve Bayes method, Decision Tree (DT), Artificial Neural Networks (ANN) and Support Vector Machine (SVM). The previous studies show that the SVM has some advantages over the other methods. However, the performance of the SVM is determined by some parameters. Parameter selection of SVM is normally done by trial and error so that the performance is less than optimal. Some optimization algorithms based heuristic optimization can be used to determine the best parameter values of SVM, for example Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). They are able to search the global optimum, easy to be implemented. The derivatives aren’t needed in its computation. Several researches show that PSO give the better solutions if it is compared with GA. All particles in the PSO are able to find the solution near global optimal. For these reasons, this article proposes the health claim insurance prediction using SVM with PSO. The experimental results show that the SVM with PSO gives the great performance in the health claim insurance prediction and it has been proven that the SVM with PSO give better performance than the SVM standard.
Co-Authors Achsin, Muhaimin Zulhair Agus Widodo Anam, Syaiful Ashari, Fadhil Muhamad Corina Karim, Ari Andari Dwi Mifta Mahanani Dwi Mifta Mahanani, Dwi Mifta Fery Widhiatmoko Fitriah, Zuraidah Gunawan, Fahdynia Karnira Hidayat, Noor I Gusti Bagus Indrajaya Linda Tri Antika, Linda Tri Mochamad Hakim Akbar Assidiq Maulana Mochamad Hakim Akbar Assidiq Maulana Mohamad Handri Tuloli Noor Hidayat, Noor Parmawati S.P., M.E., Rita Parmawati, Rita Putra, M. Rafael Andika Rahmawati, Nadhea Oktaviantina Ramadhani, Ayu Winna Risvita, Wuwun Syaiful Anam Ummu Habibah Wuryansari Muharini K. ZURAIDAH FITRIAH