4 10 67 https://repository.horizon.ac.id/files/original/f75990973ad0fa283c71d7f311ed74c2.pdf a02b730c2028b68ec9b27476cc164b73 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. 18, NO. 3 2020 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 TELKOMNIKA Telecommunication, Computing, Electronics and Control The flow of baseline estimation using a single omnidirectional camera Subject The topic of the resource Baseline, Flow, Omnidirectional camera Description An account of the resource Baseline is a distance between two cameras, but we cannot get information from a single camera. Baseline is one of the important parameters to find the depth of objects in stereo image triangulation. The flow of baseline is produced by moving the camera in horizontal axis from its original location. Using baseline estimation, we can determined the depth of an object by using only an omnidirectional camera. This research focus on determining the flow of baseline before calculating the disparity map. To estimate the flow and to tracking the object, we use three and four points in the surface of an object from two different data (panoramic image) that were already chosen. By moving the camera horizontally, we get the tracks of them. The obtained tracks are visually similar. Each track represent the coordinate of each tracking point. Two of four tracks have a graphical representation similar to second order polynomial. Creator An entity primarily responsible for making the resource Sukma Meganova Effendi, Dadet Pramadihanto, Riyanto Sigit Source A related resource from which the described resource is derived DOI: 10.12928/TELKOMNIKA.v18i3.14797 Publisher An entity responsible for making the resource available Universitas Ahmad Dahlan Date A point or period of time associated with an event in the lifecycle of the resource June 2020 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 1693-6930 Relation A related resource http://journal.uad.ac.id/index.php/TELKOMNIKA 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 TELKOMNIKA Telecommunication, Computing, Electronics and Control Baseline Flow Jurnal Nasional Informatika Omnidirectional camera https://repository.horizon.ac.id/files/original/2d3b64dc1558d22bbce37fb8b644e32e.pdf 858a7e94373b00dc0ac2190f2f978c9c 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. 18, NO. 3 2020 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 TELKOMNIKA Telecommunication, Computing, Electronics and Control Cleveree: an artificially intelligent web service for Jacob voice chatbot Subject The topic of the resource Cosine similarity, LSTM, Stacked residual, TextRank, Web service Description An account of the resource Jacob is a voice chatbot that use Wit.ai to get the context of the question and give an answer based on that context. However, Jacob has no variation in answer and could not recognize the context well if it has not been learned previously by the Wit.ai. Thus, this paper proposes two features of artificial intelligence (AI) built as a web service: the paraphrase of answers using the Stacked Residual LSTM model and the question summarization using Cosine Similarity with pre-trained Word2Vec and TextRank algorithm. These two features are novel designs that are tailored to Jacob, this AI module is called Cleveree. The evaluation of Cleveree is carried out using the technology acceptance model (TAM) method and interview with Jacob admins. The results show that 79.17% of respondents strongly agree that both features are useful and 72.57% of respondents strongly agree that both features are easy to use. Creator An entity primarily responsible for making the resource Octavany, Arya Wicaksana Source A related resource from which the described resource is derived DOI: 10.12928/TELKOMNIKA.v18i3.14791 Publisher An entity responsible for making the resource available Universitas Ahmad Dahlan Date A point or period of time associated with an event in the lifecycle of the resource June 2020 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 1693-6930 Relation A related resource http://journal.uad.ac.id/index.php/TELKOMNIKA 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 TELKOMNIKA Telecommunication, Computing, Electronics and Control Cosine Similarity Jurnal Nasional Informatika LSTM Stacked residual TextRank Web service https://repository.horizon.ac.id/files/original/21886f8dd707e7acd0cc8e6372203399.pdf 4973b5c5eec35f1c94d2c6a958e44009 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. 18, NO. 3 2020 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 TELKOMNIKA Telecommunication, Computing, Electronics and Control Vision: a web service for face recognition using convolutional network Subject The topic of the resource Computer vision, Convolutional neural network, Face recognition, Web service Description An account of the resource This paper proposes a face recognition module built as a web service. We introduce a novel design and mechanism for face recognition on a web platform and to memorize most recent users for the user. This web service is called Vision and developed using the Flask and TensorFlow deep learning framework. The face recognition process is powered by FaceNet deep convolutional network model. The face recognition process done by Vision could also be utilized for user authentication and user memorization, both done in on a web platform. As a demonstration of concept and viability, in this study, Vision is integrated into a web-based voice chatbot. The testing and evaluation of Vision’s face recognition process show an overall F-score of one for all test scenarios. Creator An entity primarily responsible for making the resource Akino Archilles, Arya Wicaksana Source A related resource from which the described resource is derived DOI: 10.12928/TELKOMNIKA.v18i3.14790 Publisher An entity responsible for making the resource available Universitas Ahmad Dahlan Date A point or period of time associated with an event in the lifecycle of the resource June 2020 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 1693-6930 Relation A related resource http://journal.uad.ac.id/index.php/TELKOMNIKA 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 TELKOMNIKA Telecommunication, Computing, Electronics and Control Computer Vision Convolutional neural network Face Recognition Jurnal Nasional Informatika Web service https://repository.horizon.ac.id/files/original/80faf430784314dc2d257f597850a222.pdf 73452df8b7420bf182bb34a720cd211e 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. 18, NO. 3 2020 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 TELKOMNIKA Telecommunication, Computing, Electronics and Control Deep hypersphere embedding for real-time face recognition Subject The topic of the resource Deep hypersphere embedding, Real-time face detection, Real-time face recognition, Robotic visions, Security surveillance system Description An account of the resource With the advancement of human-computer interaction capabilities of robots, computer vision surveillance systems involving security yields a large impact in the research industry by helping in digitalization of certain security processes. Recognizing a face in the computer vision involves identification and classification of which faces belongs to the same person by means of comparing face embedding vectors. In an organization that has a large and diverse labelled dataset on a large number of epoch, oftentimes, creates a training difficulties involving incompatibility in different versions of face embedding that leads to poor face recognition accuracy. In this paper, we will design and implement robotic vision security surveillance system incorporating hybrid combination of MTCNN for face detection, and FaceNet as the unified embedding for face recognition and clustering. Creator An entity primarily responsible for making the resource Ryann Alimuin, Elmer Dadios, Jonathan Dayao, Shearyl Arenas Source A related resource from which the described resource is derived DOI: 10.12928/TELKOMNIKA.v18i3.14787 Publisher An entity responsible for making the resource available Universitas Ahmad Dahlan Date A point or period of time associated with an event in the lifecycle of the resource June 2020 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 1693-6930 Relation A related resource http://journal.uad.ac.id/index.php/TELKOMNIKA 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 TELKOMNIKA Telecommunication, Computing, Electronics and Control Deep hypersphere embedding Jurnal Nasional Informatika Real-time face detection Real-time face recognition Robotic visions Security surveillance system https://repository.horizon.ac.id/files/original/11073f99bbb4042fde0ac1cc941cf887.pdf f0a6f8aef9ad6271f379d2cc1a327df3 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. 18, NO. 3 2020 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 TELKOMNIKA Telecommunication, Computing, Electronics and Control Velocity control of ROV using modified integral SMC with optimization tuning based on Lyapunov analysis Subject The topic of the resource Dynamics control, Remotely operated vehicle, Sliding mode control, Tuning optimization Description An account of the resource Remotely Operated Vehicle also known as ROV is a vehicle with high nonlinearity and uncertainty parameters that requires a robust control system to maintain stability. The nonlinearity and uncertainty of ROV are caused by underwater environmental conditions and by the movement of the vehicle SMC is one of the control systems that can overcome nonlinearity and uncertainty with the given robust system. This work aims to control velocity of the vehicle with proposes the use of modified integral SMC compensate error in ROV and the use of particle swarm optimization (PSO) to optimize the adjustment of SMC parameters. The ROV used in this paper has a configuration of six thrusters with five DoF movements that can be controlled. Modified integral sliding mode is used to control all force direction to increase the convergence of speed error. Adjustment optimization techniques with PSO are used to determine four values of sliding control parameters for five DoF. Using Lyapunov stability approach control law of sliding mode is derived and its global stability proved mathematically. Simulation results are conducted to evaluate the effectiveness of Modified Integral SMC and compared with nonlinear control. Creator An entity primarily responsible for making the resource Syadza Atika Rahmah, Eko Henfri Binugroho, Raden Sanggar Dewanto, Dadet Pramadihanto Source A related resource from which the described resource is derived DOI: 10.12928/TELKOMNIKA.v18i3.14781 Publisher An entity responsible for making the resource available Universitas Ahmad Dahlan Date A point or period of time associated with an event in the lifecycle of the resource June 2020 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 1693-6930 Relation A related resource http://journal.uad.ac.id/index.php/TELKOMNIKA 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 TELKOMNIKA Telecommunication, Computing, Electronics and Control Dynamics control Jurnal Nasional Informatika Remotely operated vehicle Sliding mode control Tuning optimization https://repository.horizon.ac.id/files/original/aafeaff14816e84ecaad1fa3beff1ab9.pdf 78c7ffb5f299f8daad7b7905cb3f02c1 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. 18, NO. 3 2020 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 TELKOMNIKA Telecommunication, Computing, Electronics and Control Application of recommendation system with AHP method and sentiment analysis Subject The topic of the resource Analytical hierarchy process (AHP), Decision-making system, Sentiment analysis Description An account of the resource Over time, people needs are increasing. Needs that must be met, often cause problems in the people in determining a choice. People must make the right choice and according to their needs. Not an easy thing for people to make these choices. Therefore, a recommendation system is needed to support people in making decisions that fit their criteria. This research provides a system that can provide recommendations for decision support people according to their criteria, which are web-based. The decision-making system in this research uses the analytical hierarchy process (AHP) method. AHP is a multi-criteria decision-making method, which in this research one of the criteria is using sentiment analysis. Sentiment analysis is the process of understanding, extracting, and processing textual data to get sentiment information from an opinion sentence. The opinion sentiment value of each alternative will be included in the AHP calculation to get the best alternative recommendations according to the criteria of people. The result of this research is that the system can provide recommendations to people or users according to their criteria and alternatives as well as public opinion about each alternative. Creator An entity primarily responsible for making the resource Ira Prasetyaningrum, Kholid Fathoni, Tri Tangguh Jiwo Priyantoro Source A related resource from which the described resource is derived DOI: 10.12928/TELKOMNIKA.v18i3.14778 Publisher An entity responsible for making the resource available Universitas Ahmad Dahlan Date A point or period of time associated with an event in the lifecycle of the resource June 2020 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 1693-6930 Relation A related resource http://journal.uad.ac.id/index.php/TELKOMNIKA 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 TELKOMNIKA Telecommunication, Computing, Electronics and Control Analytical hierarchy process (AHP) Decision-making system Jurnal Nasional Informatika sentiment analysis https://repository.horizon.ac.id/files/original/4d90e6b115df3c45c3af691698312755.pdf e5a42b4933cdfd8acd70d8c6853e62ed 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. 18, NO. 3 2020 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 TELKOMNIKA Telecommunication, Computing, Electronics and Control Identifier of human emotions based on convolutional neural network for assistant robot Subject The topic of the resource Autonomous robot, Convolutional neuronal network, Human emotions, Service robot Description An account of the resource This paper proposes a solution for the problem of continuous prediction in real-time of the emotional state of a human user from the identification of characteristics in facial expressions. In robots whose main task is the care of people (children, sick or elderly people) is important to maintain a close relationship man-machine, anld a rapid response of the robot to the actions of the person under care. We propose to increase the level of intimacy of the robot, and its response to specific situations of the user, identifying in real time the emotion reflected by the person's face. This solution is integrated with algorithms of the research group related to the tracking of people for use on an assistant robot. The strategy used involves two stages of processing, the first involves the detection of faces using HOG and linear SVM, while the second identifies the emotion in the face using a CNN. The strategy was completely tested in the laboratory on our robotic platform, demonstrating high performance with low resource consumption. Through various controlled laboratory tests with different people, which forced a certain emotion on their faces, the scheme was able to identify the emotions with a success rate of 92%. Creator An entity primarily responsible for making the resource Fredy Martínez, César Hernández, Angélica Rendón Source A related resource from which the described resource is derived DOI: 10.12928/TELKOMNIKA.v18i3.14777 Publisher An entity responsible for making the resource available Universitas Ahmad Dahlan Date A point or period of time associated with an event in the lifecycle of the resource June 2020 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 1693-6930 Relation A related resource http://journal.uad.ac.id/index.php/TELKOMNIKA 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 TELKOMNIKA Telecommunication, Computing, Electronics and Control Autonomous robot Convolutional neuronal network Human Emotions Jurnal Nasional Informatika Service robot https://repository.horizon.ac.id/files/original/21977c79b19ea767acfb6d8426c2b549.pdf cd6cbacf13f9c9546909683467f3bb57 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. 18, NO. 3 2020 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 TELKOMNIKA Telecommunication, Computing, Electronics and Control Effects of noises on near infrared sensor for blood glucose level measurement Subject The topic of the resource Light emitting diode, Near infrared light, NIR sensor, Photodiode, Sunlight Description An account of the resource This paper proposed the method of measuring glucose level in solution using near infrared light (NIR) and photodiode sensor. We studied noises that occurred on the output signal of NIR sensor in three different room conditions in order to know the effects on this sensor output voltage stability. The sensor’s circuit consisted of a 1450 nm NIR light emitting diode, a photodiode as the receiver, transimpedance amplifier, a notch filter, and a 4th order low pass filter. The results indicated that sunlight passing through windows was the most influencing factor caused the unstable sensor output voltage. Filters removed the effective voltages and the average sensor output voltages from the three rooms were 4.6825 V for air media, 2.2809 V for water media and 2.3368 V for glucose solution media. The output voltages tended to increase for one-hour measurement about 10 to 40 mV for air media, 40 to 90 mV for water media and 30 to 80 mV for glucose solution media. This sensor could only be used in a short time and suitable in a room without sunlight. Based on the voltage difference of the average sensor output voltage with water and glucose solution media, the sensor had the potential to be a blood glucose level meter. Creator An entity primarily responsible for making the resource Kiki Prawiroredjo, Engelin Shintadewi Julian Source A related resource from which the described resource is derived DOI: 10.12928/TELKOMNIKA.v18i3.14760 Publisher An entity responsible for making the resource available Universitas Ahmad Dahlan Date A point or period of time associated with an event in the lifecycle of the resource June 2020 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 1693-6930 Relation A related resource http://journal.uad.ac.id/index.php/TELKOMNIKA 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 TELKOMNIKA Telecommunication, Computing, Electronics and Control Jurnal Nasional Informatika Light emitting diode Near infrared light NIR sensor Photodiode Sunlight https://repository.horizon.ac.id/files/original/f9613d87f31ced06191d63e8ce8aef56.pdf d66c2f6f3c0c643ceef77f8f2cee7a5b 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. 18, NO. 3 2020 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 TELKOMNIKA Telecommunication, Computing, Electronics and Control Communication between PLC different vendors using OPC server improved with application device Subject The topic of the resource Data communication, Different platform, KEPServerEX6, OPC server, PLC, SCADA Description An account of the resource Many industries often use different devices and controllers in automation systems. They all face the same difficulty how to exchange data between all those components. This paper proposed the implementation of OPC Server as software interface on communication between two different controllers, PLC Mitsubishi and PLC Omron. The main advantage of the method is the compatibility and solution for the factory difficulty problem because of using several driver controller. The compatibility among the different platforms of both controller, PLC Mitsubishi and PLC Omron, can be reached by use of KEPServerEx6 (OPC server) as a software interface. To test the compatibility amongst two different controllers, there was developed and implemented two field application devices, bottle unscramble and bottle filling station. This implementation shows OPC Server technology resolving data compatibility issues between different platforms and reducing development costs. It is envisaged that the method can be very useful to realize integration. Creator An entity primarily responsible for making the resource Ignatius Deradjad Pranowo, Y. B. Theo Bagastama, Thomas A. F. Wibisono Source A related resource from which the described resource is derived DOI: 10.12928/TELKOMNIKA.v18i3.14757 Publisher An entity responsible for making the resource available Universitas Ahmad Dahlan Date A point or period of time associated with an event in the lifecycle of the resource June 2020 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 1693-6930 Relation A related resource http://journal.uad.ac.id/index.php/TELKOMNIKA 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 TELKOMNIKA Telecommunication, Computing, Electronics and Control Data communication Different platform Jurnal Nasional Informatika KEPServerEX6 OPC server PLC SCADA https://repository.horizon.ac.id/files/original/8ace0100f4b8b556093230d7c219d2cf.pdf 3053ff455ad01df41403a81115e66219 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. 18, NO. 3 2020 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 TELKOMNIKA Telecommunication, Computing, Electronics and Control Comparison of machine learning performance for earthquake prediction in Indonesia using 30 years historical data Subject The topic of the resource Big data, Earthquake, Machine learning, Multinomial logistic regression, Na ̈ıve bayes, Prediction, SVM Description An account of the resource Indonesia resides on most earthquake region with more than 100 active volcanoes, and high number of seismic activities per year. In order to reduce the casualty, some method to predict earthquake have been developed to estimate the seismic movement. However, most prediction use only short term of historical data to predict the incoming earthquake, which has limitation on model performance. This work uses medium to long term earthquake historical data that were collected from 2 local government bodies and 8 legitimate international sources. We make an estimation of a medium-to-long term prediction via machine learning algorithms, which are multinomial logistic regression, support vector machine and Na ̈ıve Bayes, and compares their performance. This work shows that the support vector machine outperforms other method. We compare the root mean square error computation results that lead us into how concentrated data is around the line of best fit, where the multinomial logistic regression is 0.777, Na ̈ıve Bayes is 0.922 and support vector machine is 0.751. In predicting future earthquake, support vector machine outperforms other two methods that produce significant distance and magnitude to current earthquake report. Creator An entity primarily responsible for making the resource I Made Murwantara, Pujianto Yugopuspito, Rickhen Hermawan Source A related resource from which the described resource is derived DOI: 10.12928/TELKOMNIKA.v18i3.14756 Publisher An entity responsible for making the resource available Universitas Ahmad Dahlan Date A point or period of time associated with an event in the lifecycle of the resource June 2020 Contributor An entity responsible for making contributions to the resource Sri Wahyuni Rights Information about rights held in and over the resource ISSN: 1693-6930 Relation A related resource http://journal.uad.ac.id/index.php/TELKOMNIKA 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 TELKOMNIKA Telecommunication, Computing, Electronics and Control Big data Earthquake Jurnal Nasional Informatika machine learning Multinomial logistic regression Na ̈ıve bayes Prediction SVM