1 10 7 https://repository.horizon.ac.id/files/original/ef5273b6690ad5ca56f05046ba55d2b5.pdf 9f2f7151c30aa010b928d89103c4ec83 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 15 NO. 2 2021 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Journal of ICT Research and Applications ITB Bandung Vol. 15 No. 2 2021 Convolution and Recurrent Hybrid Neural Network for Hevea Yield Prediction Subject The topic of the resource convolutional neural networks; feature selection; recurrent neural networks; rubber yield prediction; weather prediction. Description An account of the resource Abstract. Deep learning techniques have been used effectively for rubber crop yield prediction. A hybrid of Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) is the best technique for crop yield prediction because it can effectively handle uncertainty of features. Hence, in this paper, a hybrid CNN-RNN method is proposed to forecast Hevea yields based on environmental data in Kerala state, India. The proposed hybrid CNN-RNN method reduces the internal covariate shift of CNN by batch normalization and solves the gradient vanishing or exploding problem of RNN using LSTM with a cell activation mechanism. The proposed method has three essential characteristics: (i) it captures the time dependency of environmental factors and improves the inherent computational time; (ii) it is capable of generalizing the yield prediction under uncertain conditions without loss of prediction accuracy; (iii) combined with the back propagation and feed forward method it can reveal the extent to which samples of weather conditions and soil data conditions are suitable to provide a clear boundary between rubber yield variations. Creator An entity primarily responsible for making the resource Lince Rachel Varghese & Vanitha Kandasamy Source A related resource from which the described resource is derived DOI: 10.5614/itbj.ict.res.appl.2021.15.2.6 Publisher An entity responsible for making the resource available IRCS-ITB Date A point or period of time associated with an event in the lifecycle of the resource 07 Juli 2021 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 2337-5787 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Text Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Journal of ICT Research and Applications ITB Bandung Vol. 15 No. 2 2021 convolutional neural networks feature selection Jurnal Nasional Informatika recurrent neural networks rubber yield prediction weather prediction https://repository.horizon.ac.id/files/original/5e5b36dd36948a38dc490573dae5db77.pdf 98de1b3f6e2530c430452aa290e1c90d Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 15 NO. 2 2021 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Journal of ICT Research and Applications ITB Bandung Vol. 15 No. 2 2021 Automated Detection and Classification of Breast Cancer Nuclei with Deep Convolutional Neural Network Subject The topic of the resource breast cancer; classification; deep convolutional neural network; Dice score; ResNet. Description An account of the resource Abstract. Heterogeneous regions present in tissue with respect to cancer cells are of various types. This study aimed to analyze and classify the morphological features of the nucleus and cytoplasm regions of tumor cells. This tissue morphology study was established through invasive ductal breast cancer histopathology images accessed from the Databiox public dataset. Automatic detection and classification was carried out by means of the computer analytical tool of deep learning algorithm. Residual blocks with short skip were employed with hidden layers of preserved spatial information. A ResNet-based convolutional neural network was adapted to perform end-to-end segmentation of breast cancer nuclei. Nuclei regions were identified through color and tubular structure morphological features. Based on the segmented and extracted images, classification of benign and malignant breast cancer cells was done to identify tumors. The results indicated that the proposed method could successfully segment and classify breast tumors with an average Dice score of 90.68%, sensitivity = 98.64, specificity = 98.68, and accuracy = 98.82. Creator An entity primarily responsible for making the resource Shanmugham Balasundaram, Revathi Balasundaram, Ganesan Rasuthevar, Christeena Joseph, Annie Grace Vimala, Nanmaran Rajendiran& Baskaran Kaliyamurthy Source A related resource from which the described resource is derived DOI: 10.5614/itbj.ict.res.appl.2021.15.2.3 Publisher An entity responsible for making the resource available IRCS-ITB Date A point or period of time associated with an event in the lifecycle of the resource 07 Juli 2021 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 2337-5787 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Text Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Journal of ICT Research and Applications ITB Bandung Vol. 15 No. 2 2021 breast cancer classification deep convolutional neural network Dice score Jurnal Nasional Informatika ResNet https://repository.horizon.ac.id/files/original/d2504e0166582f99b051e8e2ef05ff6c.pdf 5a86f5fc5accf04128f58dbfabfa7270 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 15 NO. 2 2021 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Journal of ICT Research and Applications ITB Bandung Vol. 15 No. 2 2021 A New Term Frequency with Gaussian Technique for Text Classification and Sentiment Analysis Subject The topic of the resource customer reviews; clinical note; machine learning; natural language processing; suicide risk classification; tweets of travelers. Description An account of the resource Abstract. This paper proposes a new term frequency with a Gaussian technique (TF-G) to classify the risk of suicide from Thai clinical notes and to perform sentiment analysis based on Thai customer reviews and English tweets of travelers that use US airline services. This research compared TF-G with term weighting techniques based on Thai text classification methods from previous researches, including the bag-of-words (BoW), term frequency (TF), term frequency-inverse document frequency (TF-IDF), and term frequency-inverse corpus document frequency (TF-ICF) techniques. Suicide risk classification and sentiment analysis were performed with the decision tree (DT), naïve Bayes (NB), support vector machine (SVM), random forest (RF), and multilayer perceptron (MLP) techniques. The experimental results showed that TF-G is appropriate for feature extraction to classify the risk of suicide and to analyze the sentiments of customer reviews and tweets of travelers. The TF-G technique was more accurate than BoW, TF, TF-IDF and TF-ICF for term weighting in Thai suicide risk classification, for term weighting in sentiment analysis of Thai customer reviews for Burger King, Pizza Hut, and Sizzler restaurants, and for the sentiment analysis of English tweets of travelers using US airline services. Creator An entity primarily responsible for making the resource Vuttichai Vichianchai & Sumonta Kasemvilas Source A related resource from which the described resource is derived DOI: 10.5614/itbj.ict.res.appl.2021.15.2.4 Publisher An entity responsible for making the resource available IRCS-ITB Date A point or period of time associated with an event in the lifecycle of the resource 07 Juli 2021 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 2337-5787 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Text Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Journal of ICT Research and Applications ITB Bandung Vol. 15 No. 2 2021 clinical note customer reviews Jurnal Nasional Informatika machine learning natural language processing suicide risk classification tweets of travelers https://repository.horizon.ac.id/files/original/91cb402ec0989bfbadb11ea8a9153a67.pdf 1f4c8561a917aea37e3ba9523be799e2 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 15 NO. 2 2021 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Journal of ICT Research and Applications ITB Bandung Vol. 15 No. 2 2021 Reducing Power Consumption in Hexagonal Wireless Sensor Networks Using Efficient Routing Protocols Subject The topic of the resource LEACH; PEGASIS; power consumption; routing protocols; wireless sensor networks. Description An account of the resource Abstract. Power consumption and network lifetime are vital issues in wireless sensor network (WSN) design. This motivated us to find innovative mechanisms that help in reducing energy consumption and prolonging the lifetime of such networks. In this paper, we propose a hexagonal model for WSNs to reduce power consumption when sending data from sensor nodes to cluster heads or the sink. Four models are proposed for cluster head positioning and the results were compared with well-known models such as Power Efficient Gathering In Sensor Information Systems (PEGASIS) and Low-Energy Adaptive Clustering Hierarchy (LEACH). The results showed that the proposed models reduced WSN power consumption and network lifetime. Creator An entity primarily responsible for making the resource Razan Khalid Alhatimi, Omar Saad Almousa & Firas Ali Albalas Source A related resource from which the described resource is derived DOI: 10.5614/itbj.ict.res.appl.2021.15.2.5 Publisher An entity responsible for making the resource available IRCS-ITB Date A point or period of time associated with an event in the lifecycle of the resource 07 Juli 2021 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 2337-5787 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Text Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Journal of ICT Research and Applications ITB Bandung Vol. 15 No. 2 2021 Jurnal Nasional Informatika LEACH PEGASIS power consumption routing protocols wireless sensor networks https://repository.horizon.ac.id/files/original/a4425bf35c1d7058f5e72c318c8769c8.pdf 642ebec20562e95c287c3f229b76dfe8 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 15 NO. 2 2021 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Journal of ICT Research and Applications ITB Bandung Vol. 15 No. 2 2021 Design and Implementation of Triple Band Half Mode Substrate Integrated Waveguide (HMSIW) Antenna with Compact Size Subject The topic of the resource microstrip transmission line; half mode substrate integrated waveguide; substrate integrated waveguide; triple-band; slot antenna. Description An account of the resource Abstract. This study investigated structure strategies and exploratory scenarios for a half mode substrate integrated waveguide (HMSIW) antenna. The proposed antenna consists of three Hilbert cells, which are simulated by using CST programming. The antenna was manufactured with the realities of minor imperfections and high incorporation. The proposed structure offers a suitable substrate integrated waveguide (SIW) with about a decrease in size by half. In addition, Hilbert cells were added to realize the triple-band characteristics with good impedance matching, radiation patterns, and radiation performance. The antenna was fabricated on h = 1 mm thick dielectric substrate with dielectric constant (εr = 4.3). The Hilbert cells were drilled on the top plane of the antenna substrate and fed using a microstrip transmission line. The proposed antenna is small, with a slot side length of approximately half of the guided wavelength. The three developed Hilbert cell HMSIW antenna resonates at 3.25, 5.94 and 6.5 GHz with a bandwidth of 2.97, 2.25 and 2.29% within a return loss of -38.77, -35.82 - 23.35 dB, respectively. The results showed enhancements in antenna gain of 3.56, 4.97 and 6.43 dBi, with a radiation efficiency of -1.253, -0.493 and -0.586 dB, respectively. Creator An entity primarily responsible for making the resource Zahraa Taha, Hafsa Jassim, Ikhlas Farhan& Anas Ahmed Source A related resource from which the described resource is derived DOI: 10.5614/itbj.ict.res.appl.2021.15.2.2 Publisher An entity responsible for making the resource available IRCS-ITB Date A point or period of time associated with an event in the lifecycle of the resource 07 Juli 2021 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 2337-5787 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Text Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Journal of ICT Research and Applications ITB Bandung Vol. 15 No. 2 2021 half mode substrate integrated waveguide Jurnal Nasional Informatika microstrip transmission line slot antenna substrate integrated waveguide triple-band https://repository.horizon.ac.id/files/original/86cf7340eda12801421ac9b55497478a.pdf d5c115d0fcf12cb82efe5b5e5140b3cf Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 15 NO. 2 2021 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Journal of ICT Research and Applications ITB Bandung Vol. 15 No. 2 2021 A Scheme Towards Automatic Word Indexation System for Balinese Palm Leaf Manuscripts Subject The topic of the resource Balinese palm leaf manuscript; patch extraction; text detection; transliteration; word indexing. Description An account of the resource Abstract. This paper proposes an initial scheme towards the development of an automatic word indexation system for Balinese lontar (palm leaf manuscript) collections. The word indexation system scheme consists of a sub module for patch image extraction of text areas in lontars and a sub module for word image transliteration. This is the first word indexation system for lontar collections to be proposed. To detect parts of a lontar image that contain text, a Gabor filter is used to provide initial information about the presence of text texture in the image. An adaptive sliding patch algorithm for the extraction of patch images in lontars is also proposed. The word image transliteration sub module was built using the long short-term memory (LSTM) model. The results showed that the image patch extraction of text areas process succeeded in optimally detecting text areas in lontars and extracting the patch image in a suitable position. The proposed scheme successfully extracted between 20% to 40% of the keywords in lontars and thus can at least provide an initial description for prospective lontar readers of the content contained in a lontar collection or to find in which lontar collection certain keywords can be found. Creator An entity primarily responsible for making the resource Made Windu Antara Kesiman & Gede Aditra Pradnyana Source A related resource from which the described resource is derived DOI: 10.5614/itbj.ict.res.appl.2021.15.2.1 Publisher An entity responsible for making the resource available IRCS-ITB Date A point or period of time associated with an event in the lifecycle of the resource 07 Juli 2021 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 2337-5787 Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource English Type The nature or genre of the resource Text Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Journal of ICT Research and Applications ITB Bandung Vol. 15 No. 2 2021 Balinese palm leaf manuscript Jurnal Nasional Informatika patch extraction text detection transliteration word indexing https://repository.horizon.ac.id/files/original/1983f68f0be8176bdb26460ca1587f1c.png 0374c59a31eb525bda02b357ac0a0e28 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource VOL. 15 NO. 2 2021 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Still Image A static visual representation. Examples include paintings, drawings, graphic designs, plans and maps. Recommended best practice is to assign the type Text to images of textual materials. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Cover Journal of ICT Research and Applications ITB Bandung Vol. 15 No. 2 2021