Articles
Aplikasi Identifikasi Wajah Berbasis Android
I Kadek Surya Widiakumara;
I Ketut Gede Darma Putra;
Kadek Suar Wibawa
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 8, No. 3 Desember 2017
Publisher : Institute for Research and Community Services, Udayana University
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DOI: 10.24843/LKJITI.2017.v08.i03.p06
Identification technology has been widely developed today, such as fingerprint identification, palms and face. Identification is the determination of a person's identity and the process of identifying is an activity in determining or establishing a person's identity. Development of this identification technology has been applied to various devices one of them on Android based smartphone. Most of the development of Android based identification is still use storage technology on the device itself. The Eigenface method is used to extract the relevant information from a face image, then convert it into the most efficient set of codes and the code is compared to the code from the properties it has stored in the database. Face Identification Application Android Based is built by using storage technology on the server (MySQL) and also use the Eigenface Method. The success rate of face identification test results was 68% and the false accept rate of 32%, of the total trial was 25 times identification. Some important factors that influence the success rate of identification are the position of the face and the intensity of light during enrollment.
Aplikasi Augmented Reality Magic Book Pengenalan Binatang Untuk Siswa TK
I Dewa Gede Wahya Dhiyatmika;
I Ketut Gede Darma Putra;
Ni Made Ika Marini Mandenni
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 6, No.2 Agustus 2015
Publisher : Institute for Research and Community Services, Udayana University
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Augmented Reality is a technology combining 2 or 3 dimensional virtual objects into a real 3 dimensional environment and projected real time. Children at 5 to 7 years old, are in their golden age where they are getting more sensitive to stimulus and easier on learning new things, that they are easier on receiving new and interesting things. So, it seems to be important for children at this age to learn about living creature around them, one of it is learning about animals. Media about animal introduction for kindergarten students, such as book with 2 dimensional animal form, seems like incapable yet to excite children on learning about animal species. This Augmented Reality Magic Book Animals Introduction Application for Kindergarten Students has been developed using Android base with marker that identified 3 dimensional animal objects, their voices, and the informations about the animals using Augmented Reality Technology. Augmented Reality technology makes animal introduction to children become easier and more interesting, this application shows 3 dimensional form of animals and their voices with more innovative interface using Smartphone.
Implementasi Metode Clustering DBSCAN pada Proses Pengambilan Keputusan
Anindya Santika Devi;
I Ketut Gede Darma Putra;
I Made Sukarsa
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 6, No.3 Desember 2015
Publisher : Institute for Research and Community Services, Udayana University
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DOI: 10.24843/LKJITI.2015.v06.i03.p05
Spatial Data Clustering is one of the significant techniques in data mining which used to obtain information or knowledge in a large number of spatial data from various applications. One technique that being a pioneer in the development of spatial data clustering algorithm is DBSCAN. This study is focused on implementation of DBSCAN method in decision making process in order to help a company to decide its potential customer. The trial results in this study show that DBSCAN method has been successfully conduct clustering process to support decision making process in determination of potential customer by forming several number of clusters.
Rancang Bangun Sistem Pilkades Menggunakan Teknologi Smart Card Sebagai Kartu Pemilih
I Putu Indra Permana;
I Ketut Gede Darma Putra;
I Gusti Made Arya Sasmita
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 7, No. 2 Agustus 2016
Publisher : Institute for Research and Community Services, Udayana University
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DOI: 10.24843/LKJITI.2016.v07.i02.p02
Pemilihan Kepala Desa (Pilkades) merupakan proses yang tidak terpisahkan dari Negara Indonesia sebagai negara demokrasi. Pilkades saat ini masih menggunakan sistem pemungutan suara (voting) secara konvensional, menggunakan media kertas untuk melakukan proses pemilihan. Pelaksanaan sistem voting konvensional tersebut mempunyai banyak kelemahan seperti menghitung hasil voting relatif lebih lama dan menggunakan perhitungan manual. Perkembangan dan kemajuan teknologi informasi saat ini dapat dimanfaatkan untuk mendukung pelaksanaan voting Pilkades secara lebih baik yang menjadi solusi cerdas akan kemajuan teknologi yang dapat menggantikan sistem voting konvensional, yaitu dengan media sistem elektronik voting (e-voting) menggunakan teknologi smart card sebagai kartu pemilih. Sistem dikemas dalam bentuk aplikasi yang dipasang/di-install pada komputer dan reader/writer tools sebagai media untuk membaca/menulis pada smart card. Sistem e-voting Pilkades dengan teknologi smart card telah berhasil dijalankan dan menghasilkan dashboard hasil voting Pilkades dengan menunjukkan jumlah voting dalam bentuk angka, persentase (%), grafik dan diagram.
Sistem Perpustakaan Menggunakan Radio Frequency Identification (RFID) dan Telegram Bot API
Dewa Agung Krishna Arimbawa P;
I Ketut Gede Darma Putra;
I Made Sukarsa
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 9, No. 1 April 2018
Publisher : Institute for Research and Community Services, Udayana University
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DOI: 10.24843/LKJITI.2018.v09.i01.p05
Libraries as a service provider to the user that needs fast, easy, and efficient services. Optimization of the services performed by the application of information technology such as utilizing barcode technology for the library system. Along with the development, there were some shortcomings in the use of barcode technology. Barcode technology can be replaced by RFID (Radio Frequency Identification) in order to further improve the operational and library services. RFID has some advantages over the barcode system is the possibility of data can be read automatically without regard to alignment readings, past the non conductor materials like cardboard paper with access speeds of several hundred tags per second at a distance of several meters. The advantages and capabilities of RFID can be applied in a library system in the inventory, self-service, and security so as to generate optimal library services more than manual systems or even a barcode system. Utilization of RFID technology in the library and then combined with technology Telegram Bot API as a medium to facilitate user access such as notification, accessing history, and others.
Rancang Bangun Aplikasi Augmented Reality Museum Bali Berbasis Android Studi Kasus Gedung Karangasem dan Gedung Tabanan
I Gede Aditya Nugraha;
I Ketut Gede Darma Putra;
I Made Sukarsa
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 7, No. 2 Agustus 2016
Publisher : Institute for Research and Community Services, Udayana University
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DOI: 10.24843/LKJITI.2016.v07.i02.p03
Museum Bali is one of the museum which is located in Denpasar City that established since 1910. The Museum collections consist of items such as living equipment, art, religion, handwriting, and other things that show the situation and the development of the Balinese culture. Augmented Reality is a technology which combines two-dimensional virtual objects or three-dimensional virtual objects into the real environment. Museum Bali has decreased the amount of visitors in recent years and requires an innovation to promote Museum Bali. One innovation that is expected to promote the Museum Bali is to create an augmented reality application that called Augmented Reality Museum Bali in Android platform. Utilizing augmented reality technology that works by detecting the marker then it show up the 3D object and the information from one of the objectsin Museum Bali. Markerless method used in detection marker that make this application moreattractive and expected to be a new experience for the people who want to know more about Museum Bali.
Hate Speech Classification in Indonesian Language Tweets by Using Convolutional Neural Network
Dewa Ayu Nadia Taradhita;
I Ketut Gede Darma Putra
Journal of ICT Research and Applications Vol. 14 No. 3 (2021)
Publisher : LPPM ITB
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DOI: 10.5614/itbj.ict.res.appl.2021.14.3.2
The rapid development of social media, added with the freedom of social media users to express their opinions, has influenced the spread of hate speech aimed at certain groups. Online based hate speech can be identified by the used of derogatory words in social media posts. Various studies on hate speech classification have been done, however, very few researches have been conducted on hate speech classification in the Indonesian language. This paper proposes a convolutional neural network method for classifying hate speech in tweets in the Indonesian language. Datasets for both the training and testing stages were collected from Twitter. The collected tweets were categorized into hate speech and non-hate speech. We used TF-IDF as the term weighting method for feature extraction. The most optimal training accuracy and validation accuracy gained were 90.85% and 88.34% at 45 epochs. For the testing stage, experiments were conducted with different amounts of testing data. The highest testing accuracy was 82.5%, achieved by the dataset with 50 tweets in each category.
Forecasting Cases of Dengue Hemorrhagic Fever Using the Backpropagation, Gaussians and Support-Vector Machine Methods
I Made Yudha Arya Dala;
I Ketut Gede Darma Putra;
Putu Wira Buana
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 5 No 2 (2021): April 2021
Publisher : Ikatan Ahli Informatika Indonesia (IAII)
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DOI: 10.29207/resti.v5i2.2936
Dengue disease has been known to the people of Indonesia since 1779. The Aedes mosquito has two types, namely Aedes aegypti and Aedes albopictus. Aedes aegypti is a mosquito that carries the dengue virus. The dengue fever cases in Bali province tend to increase from year to year, especially when approaching the rainy season. The government's preventive action is needed to tackle the spread of the dengue virus and casualties. Data mining attempts to extract known knowledge or use historical data to find regularity patterns and relationships in a set of data. In this study, data mining predicts the number of dengue cases in Bali's province. The prediction uses several database variables to predict future variables' values, which are not currently known. The process of estimating predictive values based on patterns in a data set. This forecasting aims to assist the government in predicting dengue fever cases in the coming period to prepare appropriate prevention efforts. Forecasting dengue fever cases are carried out using three methods: backpropagation, gaussians, and support-vector machine. The amount of data used was 528 sample data, from 2008 to 2018. The results obtained are that the backpropagation method is better at predicting dengue fever cases with a MAPE error rate of 0.025. Simultaneously, the gaussian method has a MAPE error rate of 0.035, and support-vector machine has a MAPE error rate of 0.060.
Stemming Algorithm for Indonesian Digital News Text Processing
Putu Manik Prihatini;
IKG Darma Putra;
IAD Giriantari;
M Sudarma
International Journal of Engineering and Emerging Technology Vol 2 No 2 (2017): July - December
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University
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Stemming is the process of finding the basic word of a word in the text. The stemming algorithm built by Nazief-Adriani is the best stemming algorithm for Indonesian, and has been refined by Asian Jelita. However, references related to the Nazief-Adriani stemming algorithm are still difficult to find given that the algorithm is an internal publication. Therefore, in this study, will be built stemming algorithm for Indonesian news digital text based on the stemming algorithm Nazief-Adriani and Jelita Asian. The evaluation in this study was done before and after the addition of rules and more complete basic word dictionary. Both evaluations were performed by calculating Precision, Recall and F-Measure values between automatic and manual stemming results. Preliminary tests of the stemming algorithm Nazief-Adriani and Jelita Asian found some new basic words, abbreviations, entities and foreign terms that appear common in the news text but have not stored in the basic word dictionary. Furthermore, there are some unrecognized affixed words in defined rules. The addition of basic words, abbreviations, entities and foreign terms to the basic word dictionary, along with the addition of rules can improve the performance of the stemming algorithm built on this study. Thus, the completeness basic word dictionary and the accuracy of rules play a very important role in the success of an automatic stemming algorithm.
Stemming Algorithm for Indonesian Signaling Systems (SIBI)
Risky Aswi Ramadhani;
I Ketut Gede Darma Putra;
Made Sudarma;
Ida Ayu Dwi Giriantari
International Journal of Engineering and Emerging Technology Vol 5 No 1 (2020): January - June
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University
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DOI: 10.24843/IJEET.2020.v05.i01.p11
The Indonesian Language Sign System (SIBI) is a medium used by deaf people to communicate with the wider community. SIBI is Indonesian that is presented by hand. The sentence structure (morphology) of SIBI is the same as the Indonesian language, SIBI also recognizes the prefix, principal and suffix sign word. This research discusses how to make stemming for SIBI, the algorithm used for stemming is Nazief Adiri. Stemming for SIBI separates input sentences, words through the Text Processing process. Then the word in Stemming so that it can be separated into prefix, main, and suffix words. After stemming, the words obtained in indexing can find the right SIBI, by using ID. Good stemming must pay attention to Indonesian Morphology. The number of words used for this stemming trial is 50 words. By using the Confusion Matrix method found 0.94% accuracy, 93% recall, and 84% precision.