1 10 26 https://repository.horizon.ac.id/files/original/23cbfea9c22707154a0926ca53f12e7f.pdf 693e8f685ee7d9f35b0580521e8c6cd6 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. 20, NO. 1 2022 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 Determination of optimum load resistances of MQ-series gas sensor circuit for specific gas concentrations Subject The topic of the resource Liquefied petroleum gas, MQ-6 gas sensor, Sensor circuit sensitivity, Sensor power dissipation,Sensor resistance Description An account of the resource MQ-series gas sensors are frequently used in gas concentration sensing owing to their high sensitivity and relatively cheap cost. Reportedly, both the sensor’s circuit sensitivity (S) and power dissipation (PS ) are functions of sensor circuit load resistance (RL ). However, there is no well-established standard method for determining RL value that can simultaneously yield maximum sensor circuit sensitivity (SM) and acceptable PS for a given value of gas concentration. To obtain optimum RL , the dependence of S and PS on RL for a given gas concentration was thoroughly investigated. The model equations for determining S, PS and RL at SM (RL,MAX) were derived and Q-6 gas sensor’s response to its associated gases was used for demonstrating the proposed method. Variations of both S and PS with respect to RL were investigated when each of the associated gases has concentration of 1000 ppm. The sensor circuit optimal RL must satisfy the dual conditions of (i) S=SM and (ii) PS < set threshold. Results obtained from the analysis revealed that the values of RL,MAX were 20, 24, 64, 120, and 152 kΩ for liquefied petroleum gas (LPG), CH4, H2, alcohol and CO respectively, corresponding to sensor powers of 0.3125, 0.2589, 0.0977, 0.0521, and 0.0411 mW. Creator An entity primarily responsible for making the resource Ajiboye Aye Taiwo, Opadiji Jayeola Femi, Ajayi Adebimpe Ruth, Popoola Joshua Olusogo Source A related resource from which the described resource is derived DOI: 10.12928/TELKOMNIKA.v20i1.21091 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 February 2022 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 Liquefied petroleum gas MQ-6 gas sensor Sensor circuit sensitivity Sensor power dissipation Sensor resistance https://repository.horizon.ac.id/files/original/55c3732746e2267dee2e190814dd5887.pdf 8d78b747aa3632755458cf5f43be79ac 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. 20, NO. 1 2022 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 Enhancement detection distributed denial of service attacks using hybrid n-gram techniques Subject The topic of the resource Chi-square distance, DDoS, Malware, N-grams, Payload Description An account of the resource Distributed denial of service (DDoS) attacks have always been a concern of cyber experts. To detect DDoS attacks, several methods can be used. One of the methods used in this research is the n-gram technique. The n-gram approach analyzes the payload of data packets that enter the network to obtain attack patterns. Data is captured and analyzed, after which it is compared with clean data packets. The chi-square distance value close to 1 indicates that the two packages are very similar so that the data packet is not an attack. A deal less than one means the data packet is categorized as an attack. In this research, the threshold for determining the attack level can be lowered to obtain a very high detection accuracy. As a result, the 2-gram technique has a detection accuracy rate with the lowest false positive value of around 13%, with the highest actual positive ratio reaching 99.98%. Creator An entity primarily responsible for making the resource Andi Maslan, Kamaruddin Malik Mohamad, Cik Feresa Mohd Foozy Source A related resource from which the described resource is derived DOI: 10.12928/TELKOMNIKA.v20i1.18103 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 February 2022 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 Chi-square distance DDoS Jurnal Nasional Informatika malware N-grams Payload https://repository.horizon.ac.id/files/original/f0fef6f60e5c3e5d35d574c8419dff3c.pdf a15ac74d89245ab6b7013ca572175a99 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. 20, NO. 1 2022 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 Sunfa Ata Zuyan machine learning models for moon phase detection: algorithm, prototype and performance comparison Subject The topic of the resource Edge detection, Embedded system, Moon date declaration, Moon phases, Morphology, Raspberry Pi, Sunfa Ata Zuyan Description An account of the resource The history recorded moon as the most inspiring object in the sky, but it combined with visibility issues to study the phases. This research paper proposes a novel algorithm named Sunfa Ata Zuyan (SAZ), which is meant to extend the shape detection algorithms to aim for lunar phase deceleration and overcome the difficulties encountered by the previous methods to find the moon and determine its phase. The paper sets to investigate two aims. First, propose the add-on algorithm SAZ to determine the lunar phase's data faster. Secondly, evaluate the Raspberry Pi as the main CPU due to its compact size and power as the primary processor based on the idea of a portable designed system. Then to examine the ability of the SAZ algorithm, it's combined with famous algorithms like hue, saturation and value (HSV), Canny, erosion, shape detection, and binarization has been tested on both personal computers (PC) and Raspberry Pi with the same images being compared. The results show that SAZ will help the shape detection algorithm to find the object and disclose the moon phases. Furthermore, the Raspberry Pi, functioning as a CPU, can perform as a hand-to-hand system to determine the lunar phase as a compact portable remote sensing structure. Creator An entity primarily responsible for making the resource Ata Jahangir Moshayedi, Zu-yan Chen, Liefa Liao , Shuai Li Source A related resource from which the described resource is derived DOI: 10.12928/TELKOMNIKA.v20i1.22338 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 February 2022 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 Ata Zuyan Edge detection Embedded system Jurnal Nasional Informatika Moon date declaration Moon phases Morphology Raspberry Pi Sunfa https://repository.horizon.ac.id/files/original/6679d3f3b626fd9e2c096fa2ff46c857.pdf 941c48a2d205e915f0251e098d9558af 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. 20, NO. 1 2022 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 Comparative analysis of various machine learning algorithms for ransomware detection Subject The topic of the resource Computer security, Machine learning, Ransomware detection Description An account of the resource Recently, the ransomware attack posed a serious threat that targets a wide range of organizations and individuals for financial gain. So, there is a real need to initiate more innovative methods that are capable of proactively detect and prevent this type of attack. Multiple approaches were innovated to detect attacks using different techniques. One of these techniques is machine learning techniques which provide reasonable results, in most attack detection systems. In the current article, different machine learning techniques are tested to analyze its ability in a detection ransomware attack. The top 1000 features extracted from raw byte with the use of gain ratio as a feature selection method. Three different classifiers (decision tree (J48), random forest, radial basis function (RBF) network) available in Waikato Environment for Knowledge Analysis (WEKA) based machine learning tool are evaluated to achieve significant detection accuracy of ransomware. The result shows that random forest gave the best detection accuracy almost around 98%. Creator An entity primarily responsible for making the resource Ban Mohammed Khammas Source A related resource from which the described resource is derived DOI: 10.12928/TELKOMNIKA.v20i1.18812 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 February 2022 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 security Jurnal Nasional Informatika machine learning Ransomware detection https://repository.horizon.ac.id/files/original/907ceacfae3de7370e946715b2b7d551.pdf 6902ba59ce608b3303400955ca63fe0b 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. 20, NO. 1 2022 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 Exploiting performance gap among two users in reconfigurable intelligent surfaces-aided wireless systems Subject The topic of the resource Non-orthogonal multiple access, Outage probability, Reconfigurable intelligent surfaces Description An account of the resource In this work, we study the outage performance of a reconfigurable intelligent surfaces (RIS)-aided wireless systems in the presence of non-orthogonal multiple access (NOMA). In particular, different power factors are allocated to users which belong a dedicated group. We derive exact outage probability of two users in a group. Specifically, it is assumed that the RIS is placed between the source and the users and far user has better performance under assistance of RIS. We also provide comparison analysis to investigate the effect of the main parameters on the outage performance of our proposed system, such as the number of tunable elements of the RIS, power allocation factors, target rates and the average signal-to-noise ratio at the base station. If we set small tunable elements for RIS, we can obtain the best performance. By using Monte-Carlo simulation, we verify our analytical results via simulations. Our main results reported in this paper show the positive effect once we deploy RISs for guaranteeing fairness among NOMA users in wireless systems. Creator An entity primarily responsible for making the resource Dinh-Thuan Do, Chi-Bao Le Source A related resource from which the described resource is derived DOI: 10.12928/TELKOMNIKA.v20i1.19001 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 February 2022 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 Non-orthogonal multiple access Outage probability Reconfigurable intelligent surfaces https://repository.horizon.ac.id/files/original/0fb5287bc7795cc869ea62048c21120d.pdf 1d82c7e5583f513472e0b259c2841c48 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. 20, NO. 1 2022 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 Network and layer experiment using convolutional neural network for content based image retrieval work Subject The topic of the resource Content based image retrieval, Convolutional neural network, Image, Neural network, System Description An account of the resource In this study, a test will be conducted to find out how the results of experiments on the network and layer used on the convolutional neural network algorithm. The performance and accuracy of the retrieval process method that was tested using the algorithm approach to do an object image retrieval. The expected results of this study are the techniques offered can provide relatively better results compared to previous studies. The results of the classification of object images with different levels of confusion on the Caltech 101 database resulted an average accuracy value. From the experiments conducted in the study, content based image retrieval work (CBIR) work using convolutional neural network (CNN) algorithm in terms of execution time, loss testing and accuracy testing. From several experiments on layers and networks shows that, the more hidden layers used, then the result is better. The graph of validation loss decreases at fewer epochs, slightly fluctuating at more epochs. Likewise, validation accuracy increases insignificantly on epochs with small amounts, but tends to be stable on more epochs. Creator An entity primarily responsible for making the resource Fachruddin, Saparudin, Errissya Rasywir, Yovi Pratama Source A related resource from which the described resource is derived DOI: 10.12928/TELKOMNIKA.v20i1.19759 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 February 2022 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 Content based image retrieval Convolutional neural network Image Jurnal Nasional Informatika neural network system https://repository.horizon.ac.id/files/original/7276ab0fb10702282a79810349da5e71.pdf 566f38852cebb8c8a9287f1884cf37a2 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. 20, NO. 1 2022 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 Development smart eyeglasses for visually impaired people based on you only look once Subject The topic of the resource Computer vision, Convolutional neural network, Object detection, OpenCV, YOLO Description An account of the resource Visually impaired people are facing many problems in their life. One of these problems is how they can find the objects in their indoor environment. This research was presented to assists visually impaired people in finding the objects in office. Object detection is a method used to detect the objects in images and videos. Many algorithms used for object detection such as convolutional neural network (CNN) and you only look once (YOLO). The proposed method was YOLO which outperforms the other algorithms such as CNN. In CNN the algorithm splits the image into regions. These regions sequentially enters the neural network for object detection and recognition so CNN does not deal with all the regions at the same time but YOLO looks the entire image then it produces the bounding boxes with convolutional network and the probabilities of these boxes, this makes YOLO faster than other algorithms. Open source computer vision (OpenCV) used to capture frames by using camera. Then YOLO used to detect and recognize the objects in each frame. Finally, the sound in Arabic language was generated to tell the visually impaired people about the objects. The proposed system can detect 6 objects and achieve an accuracy of 99%. Creator An entity primarily responsible for making the resource Hassan Salam Abdul-Ameer, Hassan Jaleel Hassan, Salma Hameedi Abdullah Source A related resource from which the described resource is derived DOI: 10.12928/TELKOMNIKA.v20i1.22457 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 February 2022 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 Jurnal Nasional Informatika Object detection OpenCV YOLO https://repository.horizon.ac.id/files/original/4f71db7d0afca2246bed5c09c9207de7.pdf 6e5239a78dd14fb8542f9119434faa86 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. 20, NO. 1 2022 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 Extending lifetime of heterogeneous wireless sensor networks using spider monkey optimization routing protocol Subject The topic of the resource Clustering partition, HWSNs, Network lifetime, Routing, Spider monkey optimization Description An account of the resource The nodes of wireless sensor networks (WSN) are severely restricted in terms of computing capabilities, limited communications, and limited power supplies, as it is difficult or impossible to replace or recharge the sensor battery. Consequently, the energy of nodes is one of the most important resources to consider when designing of WSNs. So, most of the routing protocols in WSNs are to assure the saving of energy as a significant aim for improvement. Nevertheless, just providing power is not sufficient to extend the lifetime of WSN. Where unbalance energy depletion in WSNs is a challenging issue often leading to splits the network and reduces its lifetime, also retrogression of its performance. This paper, therefore, uses a powerful routing protocol named spider monkey optimization routing protocol (SMORP) to generate an optimal data routing of the pathway for heterogeneous WSNs (HWSNs). SMORP, here, can compute the best way from a sensor to the sink through the cluster head, inside the intra-cluster, and the inter-cluster respectively. For this purpose and the organization of heterogeneous nodes, this paper uses the clustering partition. The simulation results revealed that SMORP significantly improves in terms of data latency reduction, stabilizing depletion of energy, and maximizing the network lifetime for HWSNs. Creator An entity primarily responsible for making the resource Imad S. Alshawi, Zainab Ali Abbood, Asaad A. Alhijaj Source A related resource from which the described resource is derived DOI: 10.12928/TELKOMNIKA.v20i1.20984 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 February 2022 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 Clustering partition HWSNs Jurnal Nasional Informatika Network lifetime Routing Spider monkey optimization https://repository.horizon.ac.id/files/original/21b2f539884f5da5a21fa8c066be39f1.pdf 191871dd5fabde59ba5ad01f16a50036 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. 20, NO. 1 2022 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 Design of multiple-input and multiple-output antenna for modern wireless applications Subject The topic of the resource 5G MIMO antennas, Coefficient of correlation, Reflection coefficient, UWB array antenna, VSWR Description An account of the resource In this paper, multiple-input and multiple-output (MIMO) antennas are designed and simulated. The designed antennas are compact double-sided printed microstrip patch antennas and fed by a microstrip line. These antennas are designed for 3.5 to 10 GHz frequencies used for medical, industrial, sciences, and various fields of 5G communications and networking applications. Furthermore, a MIMO system is designed using the polarization variability of the individual antennas, which yields better results in terms of mutual coupling (S12 and S21), reflection coefficient (S11 and S22), and voltage standing wave ratio (VSWR), which is less than 2 indicate improved matching conditions. The designed antennas showed an acceptable gain (around 2 dB) and an envelope correlation coefficient (ECC) is <0.002. In addition, the proposed MIMO antennas exhibited isolation is -25 dB at 6 GHz, which is preferable in 5G mobile antennas. Creator An entity primarily responsible for making the resource Karrar Shakir Muttair, Oras Ahmed Shareef, Ahmed Mohammed Ahmed Sabaawi, Mahmood Farhan Mosleh Source A related resource from which the described resource is derived DOI: 10.12928/TELKOMNIKA.v20i1.19355 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 February 2022 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 5G MIMO antennas Coefficient of correlation Jurnal Nasional Informatika Reflection coefficient UWB array antenna VSWR https://repository.horizon.ac.id/files/original/21031eb4b313c08b1071c21746aca721.pdf 2cad915e6f0ac6eb7d339d45ce844708 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. 20, NO. 1 2022 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 Investigation of temperature gradient between ambient air and soil to power up wireless sensor network device using a thermoelectric generator Subject The topic of the resource Energy harvesting, Internet of thing, Soil depth, Soil temperature, Thermal energy, Thermoelectric, Wireless sensor network Description An account of the resource This paper proposes a study of an energy harvesting system for powering wireless sensor network (WSN) devices. The thermal energy harvesting system used is based on the thermal energy source between ambient air at the soil surface with five depth levels. Measurement was taken for 46 days in a garden area located in Melaka, Malaysia. A feasibility study of soil temperature measurement to obtain a temperature gradient can be used for harvesting by using thermoelectric generators (TEG) modules. Then, the efficiency of TEG with several different configurations based on temperature gradient data has been tested in the laboratory. The results revealed that the depth of soil 6 cm between sensors 1 and 3 will gave the best representation of level average temperature different around 1 °C. Based on the temperature gradient data, the combination of three TEG SP1848 in a series connection with DC-DC step-up circuit DC1664 will produce an optimum voltage output of about 3 V. This output voltage is enough to operate low power IoT device derived from thermal energy Creator An entity primarily responsible for making the resource Khalil Azha Mohd Annuar, Ramizi Mohamed, Yushaizad Yusof Source A related resource from which the described resource is derived DOI: 10.12928/TELKOMNIKA.v20i1.22463 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 February 2022 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 Energy harvesting Internet of Thing Jurnal Nasional Informatika Soil depth Soil temperature Thermal energy Thermoelectric Wireless sensor network