2 10 36 https://repository.horizon.ac.id/files/original/d2736b473c013d61f358bc68617021b9.pdf 8574bc2b5c6cc4ee11dc3cb08cd22edf 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 5 NO 5 (2021) 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 Big Cats Classification Based on Body Covering Subject The topic of the resource CLAHE, Segmentation, PHOG, Support Vector Machines Description An account of the resource The reduced habitat owned by an animal has a very bad impact on the survival of the animal, resulting in a continuous decrease in the number of animal populations especially in animals belonging to the big cat family such as tigers, cheetahs, jaguars, and others. To overcome the decline in the animal population, a classification model was built to classify images that focuses on the pattern of body covering possessed by animals. However, in designing an accurate classification model with an optimal level of accuracy, it is necessary to consider many aspects such as the dataset used, the number of parameters, and computation time. In this study, we propose an animal image classification model that focuses on animal body covering by combining the Pyramid Histogram of Oriented Gradient (PHOG) as the feature extraction method and the Support Vector Machine (SVM) as the classifier. Initially, the input image is processed to take the body covering pattern of the animal and converted it into a grayscale image. Then, the image is segmented by employing the median filter and the Otsu method. Therefore, the noise contained in the image can be removed and the image can be segmented. The results of the segmentation image are then extracted by using the PHOG and then proceed with the classification p Creator An entity primarily responsible for making the resource Fernanda Januar Pratama1 , Wikky Fawwaz Al Maki2 , Febryanti Sthevanie3 Publisher An entity responsible for making the resource available Telkom University Date A point or period of time associated with an event in the lifecycle of the resource 31-10-2021 Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Indonesia Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/4c0e6a347fa0c0a1cc8b4198ddb8b1a5.pdf 5f22dc48c55288c3ef6165e3473e2214 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 5 NO 5 (2021) 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 Implementation Word2Vec for Feature Expansion in Twitter Sentiment Analysis Subject The topic of the resource Sentiment Analysis, SVM, ANN, Word2Vec, TF-IDF Description An account of the resource Twitter is a microblog-based social media site launched on July 13, 2006. In March 2020, 476.696 tweets about the government policy in COVID-19 spread on Twitter were captured by the Institute for Development of Economics and Finance (Indef). Government policy has a standard meaning, namely a decision systematically made by the government with specific goals and objectives relating to the public interest, whether carried out directly or indirectly. Sentiment analysis analyzes people’s opinions, sentiments, evaluations, attitudes, and emotions from written language. In this decade, Sentiment Analysis is has become a trendy research area. The purpose of this paper is to focus how to implement word2vec using similarity word as a feature expansion for minimize the vocabulary mismatch in Twitter Sentiment Analysis using “word embeddings”. This research contains 11.395 tweets for a dataset, where the dataset will be used in two classifications: Support Vector Machine Algorithm and Artificial Neural Network Algorithm. The output of Word2Vec will be used for feature expansion in this research, where the algorithm of expansion will check in each row in the corpus where has a similarity vector with that word and will replace the word with the similarity of this words if the value is 0. The dataset in Feature Expansion is using 142.545 articles from Indonesian media. The result of this research is ANN is better than SVM, where the ANN without feature expansion gets 68.89 % and using feature expansion gets 72.58 %. For SVM, the final accuracy without feature expansion is 63.95 %, and using feature expansion gets 68.56 %. This research proves that feature expansion can improve the final accuracy Creator An entity primarily responsible for making the resource Naufal Adi N1 , Erwin Budi Setiawan2 Publisher An entity responsible for making the resource available Telkom University Date A point or period of time associated with an event in the lifecycle of the resource : 25-10-2021 Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Indonesia Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/7cf5584b774de6efb2cc9fcaed4bba2d.pdf b38f5ebbe85d277b55ad14c59ce14b1b 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 5 NO 5 (2021) 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 Implementasi Sistem Otentikasi Dokumen Berbasis Quick Response (QR) Code dan Digital Signature Subject The topic of the resource Digital Signature, Quick Response (QR) code, Secure Hash Algorithm-256 (SHA-256), Rivest-Shamir-Adleman (RSA), Error correction. Description An account of the resource The authenticity and integrity of documents are essential in data exchange and communication. Digital documents must be verifiable for their authenticity and integrity by all parties that use the documents. Generally, digital documents can be authenticated by using digital signatures. This study aims to implement a document authentication system based on Quick Response (QR) code and digital signature. As the case study, the document authentication system is implemented to generate digital signatures for student’s certificate documents. Furthermore, the system can also verify the authenticity of the certificate documents. Creating a digital signature requires a hash function algorithm for generating the message digest of the document. In addition, an algorithm to generate the public key and the private key used in the encryption/decryption of the message digest is also needed. The hash function utilized in this study is the Secure Hash Algorithm-256 (SHA-256), while the algorithm used for encryption/decryption is the Rivest-Shamir-Adleman (RSA) algorithm. The system is evaluated by verifying 30 student certificate documents, of which 15 of them were certificates with QR code signature generated by the system and the other 15 were certificates with QR code signature generated using a random QR code generator. The system’s testing results demonstrate that the system can ensure the authenticity and integrity of the signed certificate documents to prevent document falsification. All documents that contain random QR codes were correctly identified as false document Creator An entity primarily responsible for making the resource Antika Lorien1 , Theophilus Wellem2 Publisher An entity responsible for making the resource available Universitas Kristen Satya Wacana Date A point or period of time associated with an event in the lifecycle of the resource 20-08-2021 Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Indonesia Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/dc25f5edd60ceb092411b09b7d06722f.pdf fc36521626b228ed8dc4cb039d9fb059 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 5 NO 5 (2021) 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 Analisis Sentimen Tweet Vaksin COVID-19 Menggunakan Recurrent Neural Network dan Naïve Bayes Subject The topic of the resource Sentiment Analysis, Vaccine COVID-19, TF-IDF, RNN, Naïve Bayes Description An account of the resource COVID-19 has become a global pandemic including Indonesia, so the government is taking vaccinations as a preventive measure. The public's response to this continues to appear on social media platforms, one of which is Twitter. Tweets about the COVID-19 vaccine have generated various kinds of positive and negative opinions in the community. Therefore, it is very important to detect and filter it to prevent the spread of incorrect information. Sentiment analysis is a method used to determine the content of a dataset in the form of negative, positive or neutral text. The dataset in this study was obtained from 5000 COVID-19 vaccine tweets with the distribution of 3800 positive sentiment tweets, 800 negative sentiment tweets and 400 neutral sentiment tweets. The dataset obtained is then pre-processed data to optimize data processing. There are 4 stages of pre�processing, including remove punctuation, case folding, stemming and tokenizing. This study examines the performance of RNN and Naïve Bayes by adding the TF-IDF (Term Frequency-Inverse Document Frequency) technique which aims to give weight to the word relationship (term) of a document. The test results show that RNN (TF-IDF) has a greater accuracy of 97.77% compared to Naïve Bayes (TF-IDF) of 80%. Creator An entity primarily responsible for making the resource Merinda Lestandy1 , Abdurrahim Abdurrahim2 , Lailis Syafa’ah3 Publisher An entity responsible for making the resource available Universitas Muhammadiyah Malang Date A point or period of time associated with an event in the lifecycle of the resource 26-08-2021 Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Indonesia Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/7146c642ff9ec3178a30ed9c549e7177.pdf 185c0961b8be3b5cca251b4bb8deeacd 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 5 NO 5 (2021) 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 Desain Sistem Akuisisi Kecepatan Angin pada Menara SST Berbasis IoT Subject The topic of the resource : wind speed, SST, IoT, MQTT Description An account of the resource Wind energy is one of the new renewable energy sources that can be used to generate electricity. The application of microgrids is expected to reduce the use of fossil fuels. PT PLN UP3B West Kalimantan has a greenfield type SST (Self Support Tower) communication tower with a height of 52 meters. This study aims to test the wind speed acquisition system in real-time on the SST tower. This research was conducted because there is no research on the design of the wind speed acquisition system on the SST Tower. Wind speed measurement data is obtained from the anemometer sensor mounted on the top of the SST Tower. The wind speed measurement data is sent to the MQTT broker and database using the MQTT protocol with the help of a microcontroller and communication media so that the measurement data can be monitored in real-time using the Grafana application either through local or public networks. The study was conducted from February 6 to 27, 2021. As a result, the wind speed data acquisition system managed to collect 5,501,689 wind speed measurement data stored in the database with an average wind speed of 3.03 m/s Creator An entity primarily responsible for making the resource Rachman Rohendi1 , Herry Sujaini2 , Redi R. Yacoub3 , Bomo W. Sanjaya4 , Purwoharjono5 Publisher An entity responsible for making the resource available Universitas Tanjungpura 1 rachman@student.untan.ac.id, 2hs@untan.ac.id, 3 rediyacoub@yahoo.com, 4bomo.wi Date A point or period of time associated with an event in the lifecycle of the resource 21-08-2021 Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Indonesia Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/852d2528d157a97720ae895738e64f85.pdf 410736d436291bd2c9d68021981761a7 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 5 NO 5 (2021) 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 Analisis dan Implementasi Algoritma Asimetris Dual Modulus RSA (DM�RSA) pada Aplikasi Chat Subject The topic of the resource RSA algorithm, Dual Modulus RSA, Kraitchik Factorization Description An account of the resource The RSA algorithm is one of the cryptographic algorithms with an asymmetric model where the algorithm has two keys, namely the public key and the private key. However, as time goes on, these algorithms are increasingly exposed to security holes and make this algorithm vulnerable to being hacked by people who do not have authority. The vulnerability stems from the algorithm's public keys (e and n). The strength of the RSA algorithm is based on the difficulty of factoring two prime numbers that are generated during the key generation process, if these values can be known using certain methods, the public key and private key values will be found. Therefore, there are many studies that improvise the RSA algorithm, one of which is the Dual Modulus RSA (DM-RSA) algorithm. The algorithm uses four prime numbers which produce 2 modulus and 4 keys (2 public keys and 2 private keys). From the results of the Kraitchik factorization test, it was found that the DM-RSA algorithm was proven to be more resistant up to 2 times or even more than the standard RSA algorithm. This is evidenced by the fact that the value of n is 24 bits, the RSA algorithm can last up to 63204 ms (1 minute 22 seconds) while the Dual Modulus RSA algorithm lasts up to 248494123 ms (142 minutes 47 seconds) Creator An entity primarily responsible for making the resource Aminudin1 , Ilyas Nuryasin2 Publisher An entity responsible for making the resource available Universitas Muhammadiyah Malang Date A point or period of time associated with an event in the lifecycle of the resource 25-08-2021 Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Indonesia Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/275319c1fed4df04a6a063d74dd58bcf.pdf 3aa4f997e75a380985abd539f1478d2c 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 5 NO 5 (2021) 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 Analisis Dampak Perubahan Artefak Kebutuhan Berdasarkan Kedekatan Semantik Pada Pengembangan XP Subject The topic of the resource XP, traceability link, TF-IDF, semantic proximity, natural language processing Description An account of the resource The Extreme Programming (XP) development method is popular because of the flexibility of the development process, it can accommodate changes quickly. But this method has a weakness in terms of documentation. It is expected that the speed of discovering which parts of the source code need to be changed will be greatly improved by analyzing the impact of changes on the requirements document. In this study, a method of analyzing the impact of changes is proposed by tracing changes in the artifact of the need to find out the source code that occurs. Early language methods and semantic approaches are used. Based on the proximity of the semantics, it will be analyzed to find out the elements in the source code that use the Spearman Correlation Coefficient. The test dataset in this study consisted of the source code in the PHP programming language as well as the functional requirements of the software. Requirements change list is generated by analysis of the latest 2 (two) expert versions of the source code. The changing needs are described in a user story document. Based on the test results in this study, the average precision was 0.1725 and the average recall value was 0.6041. Creator An entity primarily responsible for making the resource Arrijal Nagara Yanottama1 , Siti Rochimah2 Publisher An entity responsible for making the resource available Institut Teknologi Sepuluh Nopember Date A point or period of time associated with an event in the lifecycle of the resource 20-08-2021 Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Indonesia Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/0df6e443967fb374fafeef8d51a33564.pdf 8191e84c4164c514e19e267b9fd29d08 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 5 NO 5 (2021) 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 Pengembangan Sistem Manajemen Event Pameran Karya Mahasiswa Menggunakan Metode Extreme Programming Subject The topic of the resource Event, Extreme Programming, Black Box Description An account of the resource An event is a means for students to improve their soft skill and hard skill. In college, one kind of event that usually held regularly is an exhibition. It is usually held around the universities environtment, but in practice there are still some shortcomings, such as the registration process is done manually, attendance of participants that are not integrated with the system, and unavailability of certificates for participants who have attended the event. Since the outbreak of Covid-19, organizing the events must be done online, so we need a system that can accommodate this. Therefore, this study aims to create an event management system that can manage exhibition event data. Besides, the system is also equipped with a feature to generate an E-Certificate that has a QR Code embedded. The method used in this study is Extreme Programming, with its flexible nature toward changes to facilitate the process of system development. The testing in this study is using black box method, with the test results show that all functional in the system can run well in accordance with user expectations. The use of the Extreme Programming method produces a quality system, because users are involved during the system development process. Creator An entity primarily responsible for making the resource Ahmad Ali Mutezar1 , Umniy Salamah2 Publisher An entity responsible for making the resource available Universitas Mercu Buana Date A point or period of time associated with an event in the lifecycle of the resource 30-08-2021 Contributor An entity responsible for making contributions to the resource Fajar Bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Indonesia Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/f405a72eec60bf79fcdd84906d133c79.pdf 4c02834b36a90d3b2aad1e1a833de1d7 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 5 NO 5 (2021) 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 Klasifikasi Citra Daging Menggunakan Deep Learning dengan Optimisasi Hard Voting Subject The topic of the resource Deep Leaning, Ensemble Learning, Image Recognition, Transfer Learning Description An account of the resource Meat is a staple food for some Indonesian people, apart from the taste, meat also contains vitamins and minerals that are good for the human body, however, not all meat can be consumed by the Indonesian people. the texture and color of beef, pork and mutton have similarities and tend to be similar, therefore a system is needed to recognize the three types of meat. In this study, the authors use various types of Deep Learning architecture such as Resnet-50, VGG-16, VGG-19 and Densenet-121 with Hard Voting to improve the performance of Deep Learning in recognizing the three types of meat. The results show that Resnet- 50 with Hard Voting can outperform Deep Learning Resnet-50, VGG-16, VGG-19 and Densenet-121- with f1 score 98.88%, precision 98.89% and recall 98.88%. in image classification of pork, beef and mutton Creator An entity primarily responsible for making the resource Made Bramasta Vikana Putra1 , I Putu Agung Bayupati2 , Dewa Made Sri Arsa Date A point or period of time associated with an event in the lifecycle of the resource Universitas Udayana Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Indonesia Type The nature or genre of the resource Text https://repository.horizon.ac.id/files/original/c334e013724cf99ab75e4ba3f5afe8a9.pdf e46024c3150ed9c3e4149053197621db 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 5 NO 5 (2021) 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 Evaluasi Pengaruh Parameter TIM Berdasarkan Multirate Terhadap Konsumsi Energi Jaringan IEEE 802.11ah Subject The topic of the resource Multirate, TIM, Sleep Duration, Energy Consumption, Packet Delay, NS-3, IEEE 802.11ah Description An account of the resource WLAN IEEE 802.11ah is wireless standard technology which potentially used for IoT networking to provide longer range transmission than WPAN and LPWAN. MAC layer IEEE 802.11ah introduces TIM segmentation scheme that provides effective management toward STA in large amount to make the energy consumption efficiently. STA is organized in hierarchical structure that allows TIM segmentation to reduce the length of frame beacon contains TIM. In case there’s no segmentation in a network with many STA, the TIM would be longer and requires all STA to wake-up receiving beacon TIM including STA without downlink data. This research intends to evaluate and analyze the TIM optimal parameters. Those are Page Period, Page Slice Length and Page Slice Count toward IEEE 802.11ah energy efficiency based on multirate using simulator NS-3 implemented on IEEE 802.11ah. As the result of STA experiment shows that Non-TIM is only optimal on sleep duration while TIM is optimal on energy consumption and delay packet. In the experiment of impact of STA/Slot amount based on Page Slice Length shows that sleep duration and energy consumption is optimal depends on the amount of the STA/Slot and data rate used while the optimal packet delay varies for each Page Slice Length Creator An entity primarily responsible for making the resource Daifi Afrila Riefi1 , Teuku Yuliar Arif2 , Syahrial3 Publisher An entity responsible for making the resource available Universitas Syiah Kuala Date A point or period of time associated with an event in the lifecycle of the resource 20-08-2021 Contributor An entity responsible for making contributions to the resource Fajar bagus W Format The file format, physical medium, or dimensions of the resource PDF Language A language of the resource Indonesia Type The nature or genre of the resource Text