auli damayanti - Academia.edu (original) (raw)
Papers by auli damayanti
Contemporary Mathematics and Applications (ConMathA), Oct 10, 2022
Consumer reviews are opinions from buyers to sellers based on service satisfaction or product qua... more Consumer reviews are opinions from buyers to sellers based on service satisfaction or product quality. The more consumer reviews cause the process of analyzing manually will be difficult. Therefore, an automated sentiment analysis system is needed. Each review will be grouped into a sentiment class which is divided into positive and negative classes. This study aims to classify review texts using the Convolutional Neural Network (CNN) and Gated Recurrent Unit (GRU) methods. The research stages in this study include collecting data on Tokopedia review texts, extracting hidden information from review texts using CNN, conducting learning on review texts using GRU. A total of 1000 review texts were divided into 80% training data and 20% test data. The review text is converted into matrix using One Hot Encoding algorithm and then extracted using CNN. The CNN process includes the convolution calculation, the calculation of the Rectified Linear Unit (ReLU) activation function, and the pooling stage. The extraction results in the CNN process are continued in the GRU process. The GRU process includes initializing parameters, GRU feed forward, Cross-Entropy Error calculation, GRU feedback, and updating weights and biases. The optimal weight is obtained when the error value in the training is less than the expected minimum error or the training iteration has reached the specified maximum iteration. Optimal weight is used for validation test on test data. The implementation of review text classification using the hybrid Convolutional Neural Network (CNN) and Gated Recurrent Unit (GRU) method was made using the python programming language. The accuracy of the validation test is 88.5%.
Jurnal Abadimas Adi Buana, 2022
Pandemik Covid-19 yang terjadi pada tahun 2020 telah berdampak secara signifikan pada semua bidan... more Pandemik Covid-19 yang terjadi pada tahun 2020 telah berdampak secara signifikan pada semua bidang, salah satunya bidang pendidikan. Guru tidak lagi bisa melakukan proses pembelajaran secara tatap muka di kelas. Oleh karena itu guru dituntut untuk dapat melakukan proses belajar mengajar secara daring. Pada kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan keterampilan guru dalam mengelola distance learning menggunakan Moodle. Rangkaian kegiatan diawali dengan proses instalasi moodle, proses perancangan pembelajaran, pembuatan konten, pembuatan forum interaksi, serta manajemen pengelolaan (desain, fitur, dan lain-lain) serta evaluasi. Peserta pengabdian kepada masyarakat ini adalah guru Matematika SMP yang tergabung dalam MGMP Matematika wilayah barat Kabupaten Jember sebanyak 30 orang dan semuanya dapat mengikuti pelatihan dari awal sampai akhir. Selain itu, peserta mampu membuat dan mengembangkan e-learning beserta kontennya menggunakan Moodle. Lebih lanjut dip...
Tujuan utama dari penelitian ini adalah mengembangkan metode Transformasi Wavelet dan Neural Netw... more Tujuan utama dari penelitian ini adalah mengembangkan metode Transformasi Wavelet dan Neural Network untuk mengklasifikasikan jenis penyakit tumor otak sehingga dapat digunakan untuk mendiagnosa awal tumor otak. Pada penelitian ini, data yang digunakan untuk klasifikasi jenis penyakit tumor otak adalah data Magnetic Resonance (MR) Brain Images. Pada penelitian ini terdapat tiga tahapan yang harus dilakukan, yaitu ekstraksi fitur, reduksi fitur, dan klasifikasi fitur dari MR Brain Images. Tahap pertama, yaitu ekstraksi fitur. Ekstraksi fitur adalah proses dekomposisi image menggunakan transformasi wavelet. Hasil dari ekstraksi fitur berupa vektor koefisien detail horisontal, vertikal, diagonal dan vektor approximasi dari dekomposisi wavelet pada setiap level. Tahap kedua adalah reduksi fitur. Proses reduksi fitur terdiri dari empat langkah, yaitu ekstraksi koefisien MR brain image, normalisasi, energi komputasi, dan reduksi energi komputasi. Hasil dari reduksi fitur adalah energi koe...
2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE), 2017
The human eye is a complex organ that is essential for everyday life. The fundus is the inner sur... more The human eye is a complex organ that is essential for everyday life. The fundus is the inner surface of the eye, which lies contrary to the lens. The results of eye fundus shooting can be used to diagnose abnormalities that occur in the eye. Artificial neural networks and fuzzy systems are methods that can be used in the classification process. In this research used Levenberg-Marquardt (LM), adaptive neuro-fuzzy inference system (ANFIS), and fuzzy learning vector quantization (FLVQ) method in ANFIS clustering process for classification of retinal abdominal eye disease, Age-Related Macular Degeneration, and normal, with an input of energy coefficient, resulting from wavelet transformation process. From the results of the percentage of success of the system in the classification of disease in the eye fundus image, it appears that the system has been able to recognize the image pattern well, that is for ANFIS with lr = 0.4, mc = 0.9 is 100%, for ANFIS-FLVQ with lr = 0.9, mc = 0.1 is 1...
Contemporary Mathematics and Applications (ConMathA), 2021
Every country has a currency as a medium of exchange and the movement of its exchange rate can af... more Every country has a currency as a medium of exchange and the movement of its exchange rate can affect the economy of the country. In Indonesia, since the freely floating exchange rates system has been applied in August 1997, the value of rupiah currency in the foreign exchange market can change at any time. Considering the massive impacts of exchange rate fluctuation on the economy, then forecasting the exchange rate of rupiah against the US dollar is important to help Indonesia’s economic growth. The aims of this thesis is to predict the estimated exchange rate of rupiah against the US dollar in the future by using hybrid artificial neural network extreme learning machine (ELM) method and firefly algorithm (FA). In the training process, ELM-FA hybrid has a role to obtain the best weight and bias. The weight and bias that obtained will be used for forecasting and to know the success rate of the training process, the validation test process is required. Based on the implementation of...
INTERNATIONAL CONFERENCE ON MATHEMATICS, COMPUTATIONAL SCIENCES AND STATISTICS 2020, 2021
The simplest model of multi-objective quadratic assignment problems, bi-objective quadratic assig... more The simplest model of multi-objective quadratic assignment problems, bi-objective quadratic assignment problem, is discussed in this paper. Weighted sum method is used in order to change the multi-objectives model into single-objective model. An algorithm inspired from the foraging strategy and gliding mechanism called squirrel search algorithm is proposed to solve this problem. The squirrel search algorithm parameters, such as number of iterations, number of flying squirrels and control parameter, predator presence probability, are observed by managing computational experiment to solve bi-objective quadratic assignment problem. The computational results show that general parameters, number of iteration and flying squirrels, affect the performance of the algorithm in solving this problem. Moreover, probability of predator presence which is as control parameter in this algorithm can bring better result when using smaller value of probability.
Contemporary Mathematics and Applications (ConMathA), 2021
Indonesia mempunyai berbagai jenis iklim. Salah satu parameter iklim adalah curah hujan. Curah hu... more Indonesia mempunyai berbagai jenis iklim. Salah satu parameter iklim adalah curah hujan. Curah hujan yang dapat menjadi sumber bencana adalah curah hujan ekstrem, yaitu kondisi curah hujan yang cukup tinggi/rendah dari rata-rata kondisi normalnya. Informasi tentang peramalan curah hujan sangat berguna khususnya bagi pemerintah kota Surabaya dalam mengantisipasi kemungkinan kejadian-kejadian atau bencana yang diakibatkan oleh curah hujan ekstrem seperti, kekeringan, banjir, pohon tumbang, rusaknya fasilitas umum, dll. Tujuan dari penulisan skripsi ini adalah untuk mendapatkan nilai peramalan curah hujan di Surabaya pada bulan yang akan datang menggunakan Hybrid Jaringan Saraf Tiruan Backpropagation dengan Firefly Algorithm dan Simulated Annealing. Proses diawali dengan input dan normalisasi data, kemudian dilanjutkan dengan proses pelatihan untuk mencari bobot dan bias yang optimal. Setelah diperoleh bobot dan bias yang optimal, kemudian melakukan uji validasi, dan dilanjutkan dengan...
Epilepsy is a condition that affects the brain and causes repeated seizures. This seizure is epis... more Epilepsy is a condition that affects the brain and causes repeated seizures. This seizure is episodes that can vary and nearly undetectable to long periods of vigorous shaking or brain contractions. Epilepsy often can be confirmed with an electrocephalography (EEG). Neural Networks has been used in biomedic signal analysis, it has successfully classified the biomedic signal, such as EEG signal. In this paper, a hybrid cuckoo search and neural network are used to recognize EEG signal for epilepsy classifications. The weight of the multilayer perceptron is optimized by the cuckoo search algorithm based on its error. The aim of this methods is making the network faster to obtained the local or global optimal then the process of classification become more accurate. Based on the comparison results with the traditional multilayer perceptron, the hybrid cuckoo search and multilayer perceptron provides better performance in term of error convergence and accuracy. The purpose methods give MSE 0.001 and accuracy 90.0 %.
PENERAPAN METODE ADAPTIVE NEURO-FUZZY …, 2009
... LIVE SUPPORT 08.30 s/d 15.30 WIB Taufik Dewi Ansi Yusuf. ! ... PAYUDARA DARI HASIL MAMMOGRAFI... more ... LIVE SUPPORT 08.30 s/d 15.30 WIB Taufik Dewi Ansi Yusuf. ! ... PAYUDARA DARI HASIL MAMMOGRAFI IMPLEMENTATION OF ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM FOR BREAST CANCER DETECTION FROM MAMMOGRAPHY Created by : Damayanti, Auli ( ) ...
Contemporary Mathematics and Applications (ConMathA), 2021
Heart disease is one of the causes of death worldwide. Therefore, detecting heart disease is very... more Heart disease is one of the causes of death worldwide. Therefore, detecting heart disease is very important to reduce the increased mortality rate. One of the methods used to detect the abnormalities or disorders of the heart is to use computer assistance to determine the characteristics of an electrocardiogram. Electrocardiogram (ECG) is a test that detects and records the activity of the heart through small metal electrodes attached to the skin of one's chest, arms and legs. This test shows how fast the heart beats and whether the rhythm is stable or not. The purpose of this thesis is to apply a multi-layer perceptron model with firefly algorithm and simulated annealing in detecting cardiac abnormalities based on the ECG signal characteristics. The initial step of this research is image processing. The stages of ECG image processing are grayscale, thresholding, edge detection, segmentation and normalization processes. The results of this image processing are used as input matr...
Contemporary Mathematics and Applications (ConMathA)
Digital image is digital pictures on a two-dimensional plane which consists of pixels, where ever... more Digital image is digital pictures on a two-dimensional plane which consists of pixels, where every pixels has Red, Green, Blue (RGB) with varying intensity depending on the image. In this thesis digital image is encrypted using hybrid algorithm Vigenere and RSA. Vigenere algorithm is a symmetric key algorithm which is a variety from Caesar algorithm where the similarity is in both of them are based on shifting the index of alphabet letters. RSA algorithm are based on the difficulty of factorizing large numbers that have 2 and only 2 factors (Prime numbers). The encryption process starts with getting the RGB intensity of each pixels from the image, then the RGB values are encrypted using Vigenere algorithm, after that RSA Algorithm encrypt those values, the values of RSA Algorithm encryption are limited so the value can be within the intervals of RGB values and the after limitation the values after being limited become the RGB values in the encrypted image. The decryption process is ...
Contemporary Mathematics and Applications (ConMathA)
Hyperthyroidism is a condition when the function of thyroid gland becomes excessive. The excess f... more Hyperthyroidism is a condition when the function of thyroid gland becomes excessive. The excess function of thyroid gland increases thyroid hormone production which affect body metabolism and physiological activity. This study aims to make an expert system diagnose hyperthyroidism with certainty factor and fuzzy logic. The stages of the process of diagnosing hyperthyroidism including problem identification, needs analysis of symptoms and types of hyperthyroidism, determination of rules, system design, case examples implementation, system testing, and evaluation. Variables used were systolic blood pressure, triiodothyronine (T3) levels, thyroxine (T4) levels, thyroid stimulating hormones (TSH) levels, goiter, tremors, and excessive sweating. All variables are processed using fuzzy logic with fuzzyfication stages, rule determination, min implications, max rule composition, and defuzzyfication which then proceed with certainty factor with sequential CF and CF stages. The system output ...
Contemporary Mathematics and Applications (ConMathA)
This thesis aims to predict the stock prices, using artificial neural network with extreme learni... more This thesis aims to predict the stock prices, using artificial neural network with extreme learning machine (ELM) method and cuckoo search algorithm (CSA). Stock is one type of investment that is in great demand in Indonesia. The portion ownership of stock is determined by how much investment is invested in the company. In this case, stock is an aggressive type of investment instrument, because stock prices can change over time. In this case, ELM is used to determine forecasting values, while CSA is applied to compile and optimize the values of weights and biases to be used in the forecasting process. After obtaining the best weights and biases, the validation test process is then carried out to determine the level of success of the training process. The data used is the daily data of the stock price of PT. Bank Mandiri (Persero) Tbk. the total is 291 data. Furthermore, the data is divided into 70% for the training process is as many as 199 data and 30% for the validation test as ma...
2016 2nd International Conference on Science and Technology-Computer (ICST), 2016
Applied Mathematical Sciences, 2014
Contemporary Mathematics and Applications (ConMathA), Oct 10, 2022
Consumer reviews are opinions from buyers to sellers based on service satisfaction or product qua... more Consumer reviews are opinions from buyers to sellers based on service satisfaction or product quality. The more consumer reviews cause the process of analyzing manually will be difficult. Therefore, an automated sentiment analysis system is needed. Each review will be grouped into a sentiment class which is divided into positive and negative classes. This study aims to classify review texts using the Convolutional Neural Network (CNN) and Gated Recurrent Unit (GRU) methods. The research stages in this study include collecting data on Tokopedia review texts, extracting hidden information from review texts using CNN, conducting learning on review texts using GRU. A total of 1000 review texts were divided into 80% training data and 20% test data. The review text is converted into matrix using One Hot Encoding algorithm and then extracted using CNN. The CNN process includes the convolution calculation, the calculation of the Rectified Linear Unit (ReLU) activation function, and the pooling stage. The extraction results in the CNN process are continued in the GRU process. The GRU process includes initializing parameters, GRU feed forward, Cross-Entropy Error calculation, GRU feedback, and updating weights and biases. The optimal weight is obtained when the error value in the training is less than the expected minimum error or the training iteration has reached the specified maximum iteration. Optimal weight is used for validation test on test data. The implementation of review text classification using the hybrid Convolutional Neural Network (CNN) and Gated Recurrent Unit (GRU) method was made using the python programming language. The accuracy of the validation test is 88.5%.
Jurnal Abadimas Adi Buana, 2022
Pandemik Covid-19 yang terjadi pada tahun 2020 telah berdampak secara signifikan pada semua bidan... more Pandemik Covid-19 yang terjadi pada tahun 2020 telah berdampak secara signifikan pada semua bidang, salah satunya bidang pendidikan. Guru tidak lagi bisa melakukan proses pembelajaran secara tatap muka di kelas. Oleh karena itu guru dituntut untuk dapat melakukan proses belajar mengajar secara daring. Pada kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan keterampilan guru dalam mengelola distance learning menggunakan Moodle. Rangkaian kegiatan diawali dengan proses instalasi moodle, proses perancangan pembelajaran, pembuatan konten, pembuatan forum interaksi, serta manajemen pengelolaan (desain, fitur, dan lain-lain) serta evaluasi. Peserta pengabdian kepada masyarakat ini adalah guru Matematika SMP yang tergabung dalam MGMP Matematika wilayah barat Kabupaten Jember sebanyak 30 orang dan semuanya dapat mengikuti pelatihan dari awal sampai akhir. Selain itu, peserta mampu membuat dan mengembangkan e-learning beserta kontennya menggunakan Moodle. Lebih lanjut dip...
Tujuan utama dari penelitian ini adalah mengembangkan metode Transformasi Wavelet dan Neural Netw... more Tujuan utama dari penelitian ini adalah mengembangkan metode Transformasi Wavelet dan Neural Network untuk mengklasifikasikan jenis penyakit tumor otak sehingga dapat digunakan untuk mendiagnosa awal tumor otak. Pada penelitian ini, data yang digunakan untuk klasifikasi jenis penyakit tumor otak adalah data Magnetic Resonance (MR) Brain Images. Pada penelitian ini terdapat tiga tahapan yang harus dilakukan, yaitu ekstraksi fitur, reduksi fitur, dan klasifikasi fitur dari MR Brain Images. Tahap pertama, yaitu ekstraksi fitur. Ekstraksi fitur adalah proses dekomposisi image menggunakan transformasi wavelet. Hasil dari ekstraksi fitur berupa vektor koefisien detail horisontal, vertikal, diagonal dan vektor approximasi dari dekomposisi wavelet pada setiap level. Tahap kedua adalah reduksi fitur. Proses reduksi fitur terdiri dari empat langkah, yaitu ekstraksi koefisien MR brain image, normalisasi, energi komputasi, dan reduksi energi komputasi. Hasil dari reduksi fitur adalah energi koe...
2017 2nd International conferences on Information Technology, Information Systems and Electrical Engineering (ICITISEE), 2017
The human eye is a complex organ that is essential for everyday life. The fundus is the inner sur... more The human eye is a complex organ that is essential for everyday life. The fundus is the inner surface of the eye, which lies contrary to the lens. The results of eye fundus shooting can be used to diagnose abnormalities that occur in the eye. Artificial neural networks and fuzzy systems are methods that can be used in the classification process. In this research used Levenberg-Marquardt (LM), adaptive neuro-fuzzy inference system (ANFIS), and fuzzy learning vector quantization (FLVQ) method in ANFIS clustering process for classification of retinal abdominal eye disease, Age-Related Macular Degeneration, and normal, with an input of energy coefficient, resulting from wavelet transformation process. From the results of the percentage of success of the system in the classification of disease in the eye fundus image, it appears that the system has been able to recognize the image pattern well, that is for ANFIS with lr = 0.4, mc = 0.9 is 100%, for ANFIS-FLVQ with lr = 0.9, mc = 0.1 is 1...
Contemporary Mathematics and Applications (ConMathA), 2021
Every country has a currency as a medium of exchange and the movement of its exchange rate can af... more Every country has a currency as a medium of exchange and the movement of its exchange rate can affect the economy of the country. In Indonesia, since the freely floating exchange rates system has been applied in August 1997, the value of rupiah currency in the foreign exchange market can change at any time. Considering the massive impacts of exchange rate fluctuation on the economy, then forecasting the exchange rate of rupiah against the US dollar is important to help Indonesia’s economic growth. The aims of this thesis is to predict the estimated exchange rate of rupiah against the US dollar in the future by using hybrid artificial neural network extreme learning machine (ELM) method and firefly algorithm (FA). In the training process, ELM-FA hybrid has a role to obtain the best weight and bias. The weight and bias that obtained will be used for forecasting and to know the success rate of the training process, the validation test process is required. Based on the implementation of...
INTERNATIONAL CONFERENCE ON MATHEMATICS, COMPUTATIONAL SCIENCES AND STATISTICS 2020, 2021
The simplest model of multi-objective quadratic assignment problems, bi-objective quadratic assig... more The simplest model of multi-objective quadratic assignment problems, bi-objective quadratic assignment problem, is discussed in this paper. Weighted sum method is used in order to change the multi-objectives model into single-objective model. An algorithm inspired from the foraging strategy and gliding mechanism called squirrel search algorithm is proposed to solve this problem. The squirrel search algorithm parameters, such as number of iterations, number of flying squirrels and control parameter, predator presence probability, are observed by managing computational experiment to solve bi-objective quadratic assignment problem. The computational results show that general parameters, number of iteration and flying squirrels, affect the performance of the algorithm in solving this problem. Moreover, probability of predator presence which is as control parameter in this algorithm can bring better result when using smaller value of probability.
Contemporary Mathematics and Applications (ConMathA), 2021
Indonesia mempunyai berbagai jenis iklim. Salah satu parameter iklim adalah curah hujan. Curah hu... more Indonesia mempunyai berbagai jenis iklim. Salah satu parameter iklim adalah curah hujan. Curah hujan yang dapat menjadi sumber bencana adalah curah hujan ekstrem, yaitu kondisi curah hujan yang cukup tinggi/rendah dari rata-rata kondisi normalnya. Informasi tentang peramalan curah hujan sangat berguna khususnya bagi pemerintah kota Surabaya dalam mengantisipasi kemungkinan kejadian-kejadian atau bencana yang diakibatkan oleh curah hujan ekstrem seperti, kekeringan, banjir, pohon tumbang, rusaknya fasilitas umum, dll. Tujuan dari penulisan skripsi ini adalah untuk mendapatkan nilai peramalan curah hujan di Surabaya pada bulan yang akan datang menggunakan Hybrid Jaringan Saraf Tiruan Backpropagation dengan Firefly Algorithm dan Simulated Annealing. Proses diawali dengan input dan normalisasi data, kemudian dilanjutkan dengan proses pelatihan untuk mencari bobot dan bias yang optimal. Setelah diperoleh bobot dan bias yang optimal, kemudian melakukan uji validasi, dan dilanjutkan dengan...
Epilepsy is a condition that affects the brain and causes repeated seizures. This seizure is epis... more Epilepsy is a condition that affects the brain and causes repeated seizures. This seizure is episodes that can vary and nearly undetectable to long periods of vigorous shaking or brain contractions. Epilepsy often can be confirmed with an electrocephalography (EEG). Neural Networks has been used in biomedic signal analysis, it has successfully classified the biomedic signal, such as EEG signal. In this paper, a hybrid cuckoo search and neural network are used to recognize EEG signal for epilepsy classifications. The weight of the multilayer perceptron is optimized by the cuckoo search algorithm based on its error. The aim of this methods is making the network faster to obtained the local or global optimal then the process of classification become more accurate. Based on the comparison results with the traditional multilayer perceptron, the hybrid cuckoo search and multilayer perceptron provides better performance in term of error convergence and accuracy. The purpose methods give MSE 0.001 and accuracy 90.0 %.
PENERAPAN METODE ADAPTIVE NEURO-FUZZY …, 2009
... LIVE SUPPORT 08.30 s/d 15.30 WIB Taufik Dewi Ansi Yusuf. ! ... PAYUDARA DARI HASIL MAMMOGRAFI... more ... LIVE SUPPORT 08.30 s/d 15.30 WIB Taufik Dewi Ansi Yusuf. ! ... PAYUDARA DARI HASIL MAMMOGRAFI IMPLEMENTATION OF ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM FOR BREAST CANCER DETECTION FROM MAMMOGRAPHY Created by : Damayanti, Auli ( ) ...
Contemporary Mathematics and Applications (ConMathA), 2021
Heart disease is one of the causes of death worldwide. Therefore, detecting heart disease is very... more Heart disease is one of the causes of death worldwide. Therefore, detecting heart disease is very important to reduce the increased mortality rate. One of the methods used to detect the abnormalities or disorders of the heart is to use computer assistance to determine the characteristics of an electrocardiogram. Electrocardiogram (ECG) is a test that detects and records the activity of the heart through small metal electrodes attached to the skin of one's chest, arms and legs. This test shows how fast the heart beats and whether the rhythm is stable or not. The purpose of this thesis is to apply a multi-layer perceptron model with firefly algorithm and simulated annealing in detecting cardiac abnormalities based on the ECG signal characteristics. The initial step of this research is image processing. The stages of ECG image processing are grayscale, thresholding, edge detection, segmentation and normalization processes. The results of this image processing are used as input matr...
Contemporary Mathematics and Applications (ConMathA)
Digital image is digital pictures on a two-dimensional plane which consists of pixels, where ever... more Digital image is digital pictures on a two-dimensional plane which consists of pixels, where every pixels has Red, Green, Blue (RGB) with varying intensity depending on the image. In this thesis digital image is encrypted using hybrid algorithm Vigenere and RSA. Vigenere algorithm is a symmetric key algorithm which is a variety from Caesar algorithm where the similarity is in both of them are based on shifting the index of alphabet letters. RSA algorithm are based on the difficulty of factorizing large numbers that have 2 and only 2 factors (Prime numbers). The encryption process starts with getting the RGB intensity of each pixels from the image, then the RGB values are encrypted using Vigenere algorithm, after that RSA Algorithm encrypt those values, the values of RSA Algorithm encryption are limited so the value can be within the intervals of RGB values and the after limitation the values after being limited become the RGB values in the encrypted image. The decryption process is ...
Contemporary Mathematics and Applications (ConMathA)
Hyperthyroidism is a condition when the function of thyroid gland becomes excessive. The excess f... more Hyperthyroidism is a condition when the function of thyroid gland becomes excessive. The excess function of thyroid gland increases thyroid hormone production which affect body metabolism and physiological activity. This study aims to make an expert system diagnose hyperthyroidism with certainty factor and fuzzy logic. The stages of the process of diagnosing hyperthyroidism including problem identification, needs analysis of symptoms and types of hyperthyroidism, determination of rules, system design, case examples implementation, system testing, and evaluation. Variables used were systolic blood pressure, triiodothyronine (T3) levels, thyroxine (T4) levels, thyroid stimulating hormones (TSH) levels, goiter, tremors, and excessive sweating. All variables are processed using fuzzy logic with fuzzyfication stages, rule determination, min implications, max rule composition, and defuzzyfication which then proceed with certainty factor with sequential CF and CF stages. The system output ...
Contemporary Mathematics and Applications (ConMathA)
This thesis aims to predict the stock prices, using artificial neural network with extreme learni... more This thesis aims to predict the stock prices, using artificial neural network with extreme learning machine (ELM) method and cuckoo search algorithm (CSA). Stock is one type of investment that is in great demand in Indonesia. The portion ownership of stock is determined by how much investment is invested in the company. In this case, stock is an aggressive type of investment instrument, because stock prices can change over time. In this case, ELM is used to determine forecasting values, while CSA is applied to compile and optimize the values of weights and biases to be used in the forecasting process. After obtaining the best weights and biases, the validation test process is then carried out to determine the level of success of the training process. The data used is the daily data of the stock price of PT. Bank Mandiri (Persero) Tbk. the total is 291 data. Furthermore, the data is divided into 70% for the training process is as many as 199 data and 30% for the validation test as ma...
2016 2nd International Conference on Science and Technology-Computer (ICST), 2016
Applied Mathematical Sciences, 2014