1 10 5 https://repository.horizon.ac.id/files/original/1b68bc6929ce2426529c25064945daf0.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. 16 NO. 2 2022 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 Cover Journal of ICT Research and Applications ITB Bandung Vol. 16 No. 2 2022 https://repository.horizon.ac.id/files/original/eb1b467e302ccae4a3811fae703e2f00.pdf e394ed5da4e360e85991a7b3818b154c 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. 16 NO. 2 2022 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. 16 No. 2 2022 Strengthening INORMALS Using Context-based Natural Language Generation Subject The topic of the resource Baudot-Murray code; INORMALS; linguistic-based steganography; natural language generation; sentence paraphrasing. Description An account of the resource Abstract. The noiseless steganography method that has been proposed by Wibowo can embed up to six characters in the provided cover text, but more than 59% of Indonesian words have a length of more than six characters, so there is room to improve Wibowo’s method. This paper proposes an improvement of Wibowo’s method by modifying the shifting codes and using context-based language generation. Based on 300 test messages, 99% of messages with more than six characters could be embedded by the proposed method, while using Wibowo’s method this was only 34%. Wibowo’s method can embed more than six characters only if the number of shifting codes is less than three, while the proposed method can embed more than six characters even if there are more than three shifting codes. Furthermore, the security for representing the number of code digits is increased by introducing a private key with the probability of guessing less than 1, while in Wibowo’s method this is 1. The naturalness of the cover sentences generated by the proposed method was maintained, which was about 99% when using the proposed method, while it was 98.61% when using Wibowo’s method. Creator An entity primarily responsible for making the resource Soni Yora & Ari Moesriami Barmawi Source A related resource from which the described resource is derived DOI: 10.5614/itbj.ict.res.appl.2022.16.2.1 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 01 Desember 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. 16 No. 2 2022 Baudot-Murray code INORMALS Jurnal Nasional Informatika linguistic-based steganography natural language generation sentence paraphrasing https://repository.horizon.ac.id/files/original/923b01e57f8fc67fa066f57e47d72409.pdf 83d7b810473395bd483e1144e13236ff 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. 16 NO. 2 2022 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. 16 No. 2 2022 Medium Access Control Protocol for High Altitude Platform Based Massive Machine Type Communication Subject The topic of the resource HAP; MAC; mMTC; network efficiency; WSN. Description An account of the resource Abstract. Massive Machine Type Communication (mMTC) can be used to connect a large number of sensors over a wide coverage area. One of the places where mMTC can be applied is in wireless sensor networks (WSNs). A WSN consists of several sensor nodes that send their sensing information to the cluster head (CH), which can then be forwarded to a high altitude platform (HAP) station. Sensing information can be sent by the sensor nodes at the same time through the same medium, which means collision can occur. When this happens, the sensor node must re-send the sensing information, which causes energy wastage in the WSN. In this paper, we propose a Medium Access Control (MAC) protocol to control access from several sensor nodes during data transmission to avoid collision. The sensor nodes send Round Robin, Interrupt and Query data every eight hours. The initial slot for transmission of the Round Robin data can be either randomized or reserved. Analysis performance was done to see the efficiency of the network with the proposed MAC protocol. Based on the series of simulations that was conducted, the proposed MAC protocol can support a WSN system-based HAP for monitoring every eight hours. The proposed MAC protocol with an initial slot that is reserved for transmission of Round Robin data has greater network efficiency than a randomized slot. Creator An entity primarily responsible for making the resource Veronica Windha Mahyastuty, Iskandar, Hendrawan & Mohammad Sigit Arifianto Source A related resource from which the described resource is derived DOI: 10.5614/itbj.ict.res.appl.2022.16.2.2 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 01 Desember 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. 16 No. 2 2022 HAP Jurnal Nasional Informatika MAC mMTC network efficiency WSN https://repository.horizon.ac.id/files/original/029933aa440719fa5d814ef52853ef62.pdf 2329eae79fe59ee73927b1559e5dad6a 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. 16 NO. 2 2022 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. 16 No. 2 2022 Context-Aware Sentiment Analysis using Tweet Expansion Method Subject The topic of the resource embedding; neural networks; sentiment analysis; tweet enrichment; deep learning. Description An account of the resource Abstract. The large source of information space produced by the plethora of social media platforms in general and microblogging in particular has spawned a slew of new applications and prompted the rise and expansion of sentiment analysis research. We propose a sentiment analysis technique that identifies the main parts to describe tweet intent and also enriches them with relevant words, phrases, or even inferred variables. We followed a state-of-the-art hybrid deep learning model to combine Convolutional Neural Network (CNN) and the Long Short-Term Memory network (LSTM) to classify tweet data based on their polarity. To preserve the latent relationships between tweet terms and their expanded representation, sentence encoding and contextualized word embeddings are utilized. To investigate the performance of tweet embeddings on the sentiment analysis task, we tested several context-free models (Word2Vec, Sentence2Vec, Glove, and FastText), a dynamic embedding model (BERT), deep contextualized word representations (ELMo), and an entity-based model (Wikipedia). The proposed method and results prove that text enrichment improves the accuracy of sentiment polarity classification with a notable percentage. Creator An entity primarily responsible for making the resource Bashar Tahayna, Ramesh Kumar Ayyasamy & Rehan Akbar Source A related resource from which the described resource is derived DOI: 10.5614/itbj.ict.res.appl.2022.16.2.3 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 01 Desember 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. 16 No. 2 2022 deep learning embedding Jurnal Nasional Informatika neural networks sentiment analysis tweet enrichment https://repository.horizon.ac.id/files/original/8be9277819d80f9571f5958870d40595.pdf 9f22a2f357aef5d15a703d0922873627 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. 16 NO. 2 2022 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. 16 No. 2 2022 Breast Cancer Diagnosis in Women Using Neural Networks and Deep Learning Subject The topic of the resource breast-cancer; diagnosis; deep learning; mammography; neural network. Description An account of the resource Abstract. Breast cancer is a deadly disease affecting women around the world. It can spread rapidly into other parts of the body, causing untimely death when undetected due to rapid growth and division of cells in the breast. Early diagnosis of this disease tends to increase the survival rate of women suffering from the disease. The use of technology to detect breast cancer in women has been explored over the years. A major drawback of most research in this area is low accuracy in the detection rate of breast cancer in women. This is partly due to the availability of few data sets to train classifiers and the lack of efficient algorithms that achieve optimal results. This research aimed to develop a model that uses a machine learning approach (convolution neural network) to detect breast cancer in women with significantly high accuracy. In this paper, a model was developed using 569 mammograms of various breasts diagnosed with benign and maligned cancers. The model achieved an accuracy of 98.25% and sensitivity of 99.5% after 80 iterations. Creator An entity primarily responsible for making the resource Ojo Abayomi Fagbuagun, Olaiya Folorunsho, Lawrence Bunmi Adewole & Titilope Helen Akin-Olayemi Source A related resource from which the described resource is derived DOI: 10.5614/itbj.ict.res.appl.2022.16.2.4 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 01 Desember 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. 16 No. 2 2022 breast-cancer deep learning Diagnosis Jurnal Nasional Informatika mammography neural network