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62 results on '"Santoso, Edy"'

2. Text recognition on images using pre-trained CNN

Author

Rizky, Afgani Fajar, Yudistira, Novanto, and Santoso, Edy

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

A text on an image often stores important information and directly carries high level semantics, makes it as important source of information and become a very active research topic. Many studies have shown that the use of CNN-based neural networks is quite effective and accurate for image classification which is the basis of text recognition. It can also be more enhanced by using transfer learning from pre-trained model trained on ImageNet dataset as an initial weight. In this research, the recognition is trained by using Chars74K dataset and the best model results then tested on some samples of IIIT-5K-Dataset. The research results showed that the best accuracy is the model that trained using VGG-16 architecture applied with image transformation of rotation 15{\deg}, image scale of 0.9, and the application of gaussian blur effect. The research model has an accuracy of 97.94% for validation data, 98.16% for test data, and 95.62% for the test data from IIIT-5K-Dataset. Based on these results, it can be concluded that pre-trained CNN can produce good accuracy for text recognition, and the model architecture that used in this study can be used as reference material in the development of text detection systems in the future

Published
2023

3. Prediction of COVID-19 by Its Variants using Multivariate Data-driven Deep Learning Models

Author

Baihaqi, Akhmad Dimitri, Yudistira, Novanto, and Santoso, Edy

Subjects
Computer Science - Computational Engineering, Finance, and Science, Computer Science - Machine Learning
Abstract

The Coronavirus Disease 2019 or the COVID-19 pandemic has swept almost all parts of the world since the first case was found in Wuhan, China, in December 2019. With the increasing number of COVID-19 cases in the world, SARS-CoV-2 has mutated into various variants. Given the increasingly dangerous conditions of the pandemic, it is crucial to know when the pandemic will stop by predicting confirmed cases of COVID-19. Therefore, many studies have raised COVID-19 as a case study to overcome the ongoing pandemic using the Deep Learning method, namely LSTM, with reasonably accurate results and small error values. LSTM training is used to predict confirmed cases of COVID-19 based on variants that have been identified using ECDC's COVID-19 dataset containing confirmed cases of COVID-19 that have been identified from 30 countries in Europe. Tests were conducted using the LSTM and BiLSTM models with the addition of RNN as comparisons on hidden size and layer size. The obtained result showed that in testing hidden sizes 25, 50, 75 to 100, the RNN model provided better results, with the minimum MSE value of 0.01 and the RMSE value of 0.012 for B.1.427/B.1.429 variant with hidden size 100. In further testing of layer sizes 2, 3, 4, and 5, the result shows that the BiLSTM model provided better results, with minimum MSE value of 0.01 and the RMSE of 0.01 for the B.1.427/B.1.429 variant with hidden size 100 and layer size 2.

Published
2023

6. Spatial Patterns Of Economic Growth In East Java Province

Author

Ifa, Khoirul, Viphindrartin, Sebastiana, Santoso, Edy, Priyono, Teguh Hadi, Appolloni, Andrea, Series Editor, Caracciolo, Francesco, Series Editor, Ding, Zhuoqi, Series Editor, Gogas, Periklis, Series Editor, Huang, Gordon, Series Editor, Nartea, Gilbert, Series Editor, Ngo, Thanh, Series Editor, Striełkowski, Wadim, Series Editor, Abrori, Imam, editor, Supheni, Indrian, editor, Mudhofar, Muhammad, editor, Murniati, Wahyuning, editor, Irawan, Nico, editor, Ikhsan Lubis, Arfan, editor, Qiang, Wei, editor, Hudi Setyobakti, Moh., editor, Barid Nizarudin Wajdi, Muh., editor, Tarjo, editor, and Sujana, Edy, editor

Published
2023
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25. Pengaruh urbanisasi, tingkat kemiskinan, dan ketimpangan pendapatan terhadap kriminalitas di Provinsi Jawa Timur

Author

Kuciswara, Dita, Muslihatinningsih, Fivien, and Santoso, Edy

Subjects
Kriminalitas, Urbanisasi, Tingkat Kemiskinan, Ketimpangan Pendapatan, natural sciences, criminality, urbanization, poverty level, income inequality
Abstract

This study aims to determine how big influence urbanization, poverty levels, and income inequality on criminality in East Java Province. The study used secondary data for 6 years, from 2014 to 2019. The data analysis method used in this study is the panel data regression method with the Fixed Effect Model (FEM) approach. The dependent variable used in this study is criminality, while the independent variables are urbanization, poverty level, and income inequality. Based on the results of this study, it can be concluded that urbanization has a positive and significant influence on criminality in East Java Province. The poverty rate has a positive and significant influence on criminality in East Java Province. Meanwhile, income inequality has a positive but insignificant effect on criminality in East Java Province., Penelitian ini bertujuan untuk mengetahui seberapa besar pengaruh urbanisasi, tingkat kemiskinan, dan ketimpangan pendapatan terhadap kriminalitas di Provinsi Jawa Timur. Pada penelitian menggunakan data sekunder selama 6 tahun dari tahun 2014 – 2019. Metode analisis data yang digunakan dalam penelitian ini adalah metode regresi data panel dengan pendekatan Fixed Effect Model (FEM). Variabel dependen yang digunakan dalam penelitian ini adalan kriminalitas, sedangkan variabel independen yaitu urbanisasi, tingkat kemiskinan, dan ketimpangan pendapatan. Berdasarkan hasil penelitian ini dapat disimpulkan bahwa urbanisasi memiliki pengaruh positif dan signifikan terhadap kriminalitas di Provinsi Jawa Timur. Tingkat kemiskinan memiliki pengaruh positif dan signifikan terhadap kriminalitas di Provinsi Jawa Timur. Sedangkan ketimpangan pendapatan memiliki pengaruh positif namun tidak signifikan terhadap kriminalitas di Provinsi Jawa Timur.

Published
2021

35. Peran Sektor Berbasis Industri Pada Perekonomian Provinsi Jawa Timur (Pendekatan Input-Output)

Author

Santoso, Edy

Abstract

The development of industrial sector strongly is essential for sustained and quality economic growth. Based on the role of the industrial sectors are significant in economy, it is reasonable to say that the industrial sector is said to be a strategic sector based on its ability to trigger economic growth. The aims for this study are: (1) to know the role of industry-based sector in the economy of East Java Province, 2). to know which sector can be made as a leading sector so that it can be prioritized in its development. Using input output models to analyze the linkages and multiplier for each industry-based sector. The result of the study shows that the role of the sector is seen from foward linkages effect, the non-classified goods industry sector and the chemical industry are industries with a high forward linkages effect. While the rice milling industry sector is the sector with the highest backward linkages effect. The sector with the highest output multiplier impact is the rice mill industry. The pesticide fertilizer industry sector has the highest income multipliers impact. The cigarette industry is the sector with the largest contribution to the export of East Java Province. The paper industry is the sector with the highest import contribution, followed by the cigarette industry. For the twenty-four industry-based sectors in the East Java economy, the rice milling sector and the sugar industry sector are potential sectors to be developed.

Published
2017

36. PENDEKATAN PENENTUAN KUOTA KARANG HIAS EKSPOR UNTUK MENUNJANG PEMANFAATAN SECARA BERKELANJUTAN DI SULAWESI SELATAN

Author

Kasmi, Mauli, Liuw, Fery A.M., Santoso, Edy, and Ilyas, Moh.

Subjects
Agribisnis Perikanan, kuota, karang hias, pemanfaatan, berkelanjutan
Abstract

Karang keras (Ordo Scleractinia) termasuk hewan yang tercatat dalam CITES (Convention of International Trade in Endangered Species) sebagai hewan yang diperdagangkan untuk memenuhi kebutuhan aquarium rumah tangga di negara-negara maju. Sulawesi Selatan merupakan salah satu sumber karang hias bagi eksportir Jakarta dan Bali. Ada 11 middleman (supplier) yang tergabung dalam anggota Asosiasi Koral dan Ikan Hias Sulawesi (AKIS) yang memiliki penampungan karang hias dan bermukim di Makassar. Perairan pulau Spermonde Makassar dan Pangkep sebagai konsentrasi penangkapan karang hias di Sulsel. Masalah yang dihadapi dalam perdagangan karang hias adalah penentuan kuota untuk ekspor belum memiliki standar yang lestari bagi kelangsungan populasi, khususnya di kawasan perairan pulau Spermonde Pangkep. Tujuan penelitian adalah mengestimasi dan menganalisis kelimpahan jenis karang hidup dan kondisi tutupan karang sebagai salah satu komponen terpenting dalam penentuan kuota perdagangan untuk dijadikan model penentuan kuota ekspor karang hias dari alam. Metode penelitian observasi dan wawancara terhadap responden dan pengambilan data di instansi atau perusahaan terkait. Hasil penelitian menunjukkan keberadaan jenis dan jumlah yang telah terdaftar dalam kuota koral Sulsel lima tahun terakhir masih layak dimanfaatkan dengan pemanfaatan 2,5% dari jumlah stok karang di alam. Pemanfaatan karang hias di kawasan konsentrasi penangkapan karang hias tutupan karang umumnya masih baik dan jenis-jenis karang hias yang dimanfaatkan umumnya masih diperoleh di ketiga zona reef (flat, cress, dan slope).

Published
2017

37. INFLUENCE OF SEISMICITY DECLUSTERING ON GROUND MOTION PREDICTION EQUATIONS FOR CENTRAL SULAWESI SEISMIC REGION.

Author

Pramono, Sigit, Prakoso, Widjojo A., Rohadi, Supriyanto, Karnawati, Dwikorita, Santoso, Edy, and Nurfajar, Aim

Subjects
EQUATIONS of motion, EARTHQUAKE magnitude, EXPECTED returns, EARTHQUAKE intensity, EARTHQUAKES
Abstract

Central Sulawesi has very complex tectonic conditions, and therefore the earthquake hazard of the region needs to be carefully examined. One of the required components to develop such examination is regional ground motion prediction equations. This study describes the development of GMPEs for Central Sulawesi based on broadband velocitymeter and strong motion accelerations recorded by instruments managed by Indonesia geophysical authority temporarily since year 2015 and 2017. The accuracy of the resulting equations is examined further by performing the seismicity declustering processes using the Reasenberg method; the declustering process is to separate mainshock events from foreshock and or aftershock events. Note that, as the site class of the instrument locations is SD, the resulting GMPEs are only for SD sites. The resulting expected geometric mean peak ground acceleration from GMPE for all shocks (dependent seismicity) is similar to that for mainshocks only (independent seismicity), except for higher magnitude earthquakes due to the limited number of data available. The expected PGA values are examined further by comparing the values with the actual PGA from earthquakes in the Sausu Fault region, including the damaging 29 May 2019 earthquake. Depending on the earthquake magnitude, the GMPEs may overestimate or underestimate the PGA values. In addition, the residual analyses are conducted to examine trends of the expected PGA values. [ABSTRACT FROM AUTHOR]

Published
2020
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46. Attenuation function of earthquake in the subduction zone (megathrust) of the Sunda Arc.

Author

Santoso, Edy, Triyoso, Wahyu, Rudyanto, Ariska, and Meilano, Irwan

Subjects
*EARTHQUAKES, *SUBDUCTION zones, *STRUCTURAL plates, *ATTENUATION of seismic waves, *REGRESSION analysis
Abstract

The subduction zone (megathrust) of the Sunda arc is an active area and historically many large destructive earthquakes occur. This zone extends from the Andaman island to the Northwest and from the Banda arc to the west with a length of about ± 3000 km. This subduction zone is produced from a collision between two plates, the Indo-Australian plate and the Southeast Asian plate. Where is the Indo-Australian plate subduct to the bottom of the Southeast Asian plate. The attenuation equation in the subduction zone (megathrust) of the Sunda arc has not been widely developed in Indonesia. So it still refers to the equation of attenuation in subduction zones of other regions. For this reason, attenuation equations are needed in the subduction zone (megathrust) of the Sunda arc and mapping the model of the affected area due to the earthquake in the area. Data used to produce attenuation equation of 71 earthquake events with total data 1236 data. The PGA value used for the calculation of the attenuation equation is derived from the average value of the horizontal component. The method used to produce the attenuation equation is by two-step stratified regression analysis procedure. The physics attenuation equation has calculated the saturation of the acceleration amplitude in the area near the source of the earthquake and has a simple point source characteristic including geometric spreading over medium to long distances. The application of the attenuation equation in the mapping of affected areas due to earthquakes in the subduction zone (megathrust) of the Sunda arc shows results closer to observational data. [ABSTRACT FROM AUTHOR]

Published
2018
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48. PROTECTION OF TRADITIONAL KNOWLEDGE IN RELATION TO INTELLECTUAL PROPERTY RIGHTS ON THE PRINCIPLE OF JUSTICE FOR PEOPLE AS AN ENDEAVOUR OF NATIONAL ECONOMIC DEVELOPMENT.

Author

Wiradirja, Imas Rosidawati, Munzil, Fontian, and Santoso, Edy

Subjects
INTELLECTUAL property, TRADITIONAL knowledge, JUSTICE, ECONOMIC development, RATIFICATION of treaties
Abstract

The objectives of this paper are to analyze and find answers on several problems as follows: firstly, to find the legal protection on intellectual property rights (IPRs) on traditional knowledge (TK) specific regulation in Indonesia; secondly, to find the concept of the governance of traditional knowledge which performs justice principle in term of supporting the economic development in Indonesia. This paper found that, first, the legal protection for TK use the regulations of IPRs, although in fact, it cannot give a total protection. The purpose of legal protection will not only avoid an unfair competition with misappropriation but also for the economic development. Second, the governance concept with TK approach will be perfectly designed by making a Sui Generis system, by creating a comparing document (prior art) as a defensive protection mean which accommodate the "benefit sharing" concept. In this concept, the custodian of TK is the community. The existing regulation of IPRs after Indonesia ratified of agreement on Trade-Related Aspects of Intellectual Property Rights (TRIPS) cannot provide any justice for the protection toward TK for the existence of misappropriation. [ABSTRACT FROM AUTHOR]

Published
2017

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