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All Journal International Journal of Electrical and Computer Engineering Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Journal of ICT Research and Applications JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) International Journal of Engineering and Emerging Technology Indonesian Journal of Electrical Engineering and Computer Science Jurnal Bali Membangun Bali Makara Journal of Technology Jurnal Ilmiah Teknologi dan Komputer (JITTER) Lontar Komputer: Jurnal Ilmiah Teknologi Informasi
I ketut Gede Darma Putra
Program Studi Teknologi Informasi, Fakultas Teknik, Universitas Udayana
Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Transportation Other

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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)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (472.511 KB) | DOI: 10.29207/resti.v5i2.2936

Abstract

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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Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/IJEET.2020.v05.i01.p11

Abstract

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.
Modification of ISONER Framework as Enterprise Service Bus to Build Consultation Robot Using External Engine I Made Sukarsa; I Ketut Gede Darma Putra; Nyoman Putra Sastra; Lie Jasa
International Journal of Engineering and Emerging Technology Vol 3 No 2 (2018): July - December
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract

Balinese Calendar, the result of astronomy development, is the foundation for Balinese religious implementation as one of the key elements of tourism industry in Bali. In addition to the printed and electronic versions, an engine that can be used to function as a service for advanced application development is not yet available. Balinese calendar is one of the complementary materials commonly used by Sulinggih in giving consultations about days considered to be the most appropriate to perform ceremonies. Sulinggih is a figure considered to have expertise in Balinese Calendar and its uses. This research will transfer the basic knowledge of Balinese Calendar into an engine on MySQL machine. After the engine undergoes a test, a text-based dialogue model will be designed to form a Sulinggih robot with various natural language algorithms so that it can be accessed through social media messenger services, namely telegram. In order to successfully conduct this research, a phase of system development will be carried out by referring to the System Development Life Cycle model. The process of developing dialog model will involve the use of ISONER framework which will be modified to function as an Enterprise Service Bus(ESB)
Measurement of Face Detection Accuracy Using Intensity Normalization Method and Homomorphic Filtering I Nyoman Gede Arya Astawa; I Ketut Gede Darma Putra; I Made Sudarma; Rukmi Sari Hartati
International Journal of Engineering and Emerging Technology Vol 2 No 1 (2017): January - June
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

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Abstract

One of the factors that affects the detection system or face recognition is lighting. Image color processing can help the face recognition system in poor lighting conditions. In this study, homomorphic filtering and intensity normalization methods used to help improve the accuracy of face image detection. The experimental results show that the non-uniform of the illumination of the face image can be uniformed using the intensity normalization method with the average value of Peak Signal to Noise Ratio (PSNR) obtained from the whole experiment is 22.05314 and the average Absolute Mean Brightness Error (AMBE) value obtained is 6.147787. The results showed that homomorphic filtering and intensity normalization methods can be used to improve the detection accuracy of a face image.
Pengembangan Rencana Induk Sistem Pemerintahan Berbasis Elektronik Provinsi Bali I Wayan Muka; Made Adi Widyatmika; I Ketut Gde Darma Putra
Bali Membangun Bali: Jurnal Bappeda Litbang Vol 1 No 3 (2020): Jurnal Bali Membangun Bali, Volume 1, Nomor 3, Desember 2020
Publisher : Badan Riset dan Inovasi Daerah Provinsi Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51172/jbmb.v1i3.142

Abstract

Purpose: The purpose of this study is to obtain data from each OPD of the Province of Bali related to the implementation of E-Government (SPBE), determine the conditions of implementing E-Government (SPBE) in the Province of Bali and determine strategic steps to increase the level of maturity index of the SPBE of the Province of Bali. Research methods: The evaluation evaluation method is done through measuring the level of maturity based on the e-Government Maturity Model (eMM). Findings: This study revealed that the main weaknesses in the implementation of SPBE in Bali Province, especially in some OPDs that provide public services, were the lack of integration of applications or systems and the still weak human resources and IT infrastructure in each OPD. Implications: The steps that need to be taken are to formulate the SPBE Development Master Plan which has completeness on the side of the SPBE vision and mission load, SPBE architecture, SPBE road map as well as the integration of application systems and the use of general applications as a whole.
Evaluasi Usability dan User Experience LMS OASE Universitas Udayana Menggunakan Metode Tuxel 2.0 I Putu Adi Purnawan; I Ketut Gede Darma Putra; Ni Kadek Dwi Rusjayanthi
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 10 No. 3 (2021)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v10i3.40670

Abstract

Usability dan User Experience adalah aspek penting untuk mengukur tingkat kemudahan pengguna dalam mengoperasikan suatu website, terutama website yang khusus digunakan untuk memfasilitasi proses pembelajaran yang biasa disebut dengan Learning Management System (LMS). Tujuan dari penelitian ini adalah untuk mengetahui usability dan user experience pada website LMS OASE dan rekomendasi perbaikannya. Metode yang digunakan dalam penelitian ini adalah TUXEL 2.0, dengan tiga dimansi utamanya yaitu General Usability, Pedagogical Usability, dan User Experience. Pengumpulan data dilakukan dengan menggunakan kuesioner yang telah divalidasi kemudian dibagikan kepada responden dengan pengambilan sampel menggunakan teknik non-probability sampling. Data yang telah diperoleh selanjutnya dianalisis dengan metode analisis deskriptif. Hasil yang diperoleh dari proses evaluasi pada desain OASE lama ditemukan sepuluh permasalahan pada dimensi General Usability, delapan permasalahan pada dimensi Pedagogical Usability, dan tiga variabel User Experience dengan kategori tingkat persepsi negatif. Setelah dilakukan perbaikan desain, hasil evaluasi desain solusi OASE menjadi lebih baik, hanya ditemukan satu masalah pada dimensi General Usability, satu masalah pada dimensi Pedagogical Usability, dan semua variabel User Experience mendapat kategori tingkat persepsi positif.
Hypertension Expert System with C5.0 Algorithm and Fuzzy Logic I Gusti Made Ngurah Ardi Yasa; I Ketut Gede Darma Putra; Ni Md Ika Marini Mandenni
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i7.pp5569-5677

Abstract

Expert System is a knowledge -based system which is its knowledge is coming from the experts itself. This system is expected to help users to take best decisions in solving the problems they face. This expert system can be applied in various field of knowledges. Medical field is one area where expert system is needed in case of taking decision, such as diagnosing and treatment.Hypertension is one of medical disease that can be diagnosed from looking at the patient’s physical characteristics and the patient’s lifestyle. Beside using the experts knowledge in diagnosing process, we also combine it with C5.0 algorithms and fuzzy logic to get precise result. C5.0 algorithm is used to create a decision tree based on the experts, while fuzzy logic used to categorize the type of hypertensive disease that suffered by the patient and increase the level of accuracy of the diagnosing system. The accuracy of the combination between c5.0 algorithm and fuzzy logic is about 97.19%.
Fuzzy Expert System for Tropical Infectious Disease by Certainty Factor I ketut Gede Darma Putra; Putu Manik Prihatini
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 6: October 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

Communication between doctor and patient play an important role in determining the diagnosis of the illness suffered by the patient. Consultation time constraints led to insufficient information obtained to produce a diagnosis. This limitation is overcome by developing an expert system using fuzzy logic to represent the vagueness of symptoms experienced by patients and the certainty factor represents a relationship between the symptoms and disease. Fuzzy logic method begins with the acquisition of knowledge to produce the facts and rules, implication process, composition and defuzzification. The result of defuzzification used in the calculation of sequential and combined certainty factor which represent the belief percentage of diseases diagnosis that suffered by the patient. The results of the expert diagnosis with expert system for the given cases indicates the system, has the similarity diagnosis with the expert at 93.99%. DOI: http://dx.doi.org/10.11591/telkomnika.v10i6.1223
Content Based Image Retrieval Using Lacunarity and Color Moments Of Skin Diseases I Gusti Ayu Triwayuni; I Ketut Gede Darma Putra; I Putu Agus Eka Pratama
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 1: January 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i1.pp243-248

Abstract

The research conducted contributed in the form of CBIR application which was developed using texture and color feature extraction in searching the contents information of an object of skin disease image. The textured feature is extracted using Lacunarity, while for color feature extraction using Color Moments as well as a combination of both methods. The results of color characteristic extraction test using Color Moments Method yielded images corresponding to 100% similarity percentages and experimentation of texture characteristic extraction using Lacunarity Method yielded images corresponding to a percentage of suitability of 25%, followed by a combined test of both methods and the normalization process produces images corresponding to a percentage of conformity of 60%.
Co-Authors A. A. K. Oka Sudana Adie Wahyudi Oktavia Gama Agung Udayana Putra Ahmad Catur Widyatmoko Anak Agung Ketut Agung Cahyawan Wiranatha Anak Agung Kompiang Oka Sudana Anindya Santika Devi Ariana, Anak Agung Gede Bagus Arsa, Dewa Made Sri Arya Widyaningrat, Made Gunawan Astutik, Dian Bagus Yudistira Citra Arum Sari Desak Ayu Savita Desak Ayu Sista Dewi Desy Purnami Singgih Putri Dewa Agung Krishna Arimbawa P Dewa Ayu Nadia Taradhita Dewa Made Sri Asra Dwi Putra Githa Dwi Rusjayanthi, Dwi Erdiawan Erdiawan Erdiawan Erdiawan Erdiawan Erdiawan, Erdiawan G M Arya Sasmita Gede Eridya Bayu Gede Ngurah Pasek Pusia Putra Gede Riska Wiradarma I Dewa Gede Wahya Dhiyatmika I Gede Aditya Nugraha I Gede Galang Surya Prabawa I Gede Hendra Parwata I Gede Suarjana I Gede Sujana Eka Putra I Gede Sujana Eka Putra, I Gede Sujana Eka I Gusti Ayu Agung Diatri Indradewi I Gusti Ayu Triwayuni I Gusti Made Ngurah Ardi Yasa I Gusti Ngurah Dwiva Hardijaya I Kadek Erik Priyanto I Kadek Surya Widiakumara I Ketut Adi Purnawan I Made Agus Dwi Suarjaya I Made Aris Satia Widiatmika I Made Budi Adnyana I Made Budi Sentana I MADE SUDARMA I Made Sukafona I Made Sukarsa I Made Sukarsa I Made Sunia Raharja I Made Suwija Putra I Made Suwija Putra, I Made I Made Yudha Arya Dala I N Satya Kumara I Nyoman Gede Arya Astawa I Nyoman Gunantara I Nyoman Piarsa I Nyoman Putu Suwindra I Nyoman Satria Paliwahet I Putu Adi Purnawan I Putu Agung Bayupati I Putu Agus Eka Darma Udayana I Putu Agus Eka Darma Udayana, I Putu Agus Eka I Putu Agus Eka Pratama I Putu Arya Dharmaadi I Putu Bayu Krisnawan I Putu Indra Permana I Putu Jordi Astika I Putu Satwika Putra I Putu Yoga Pertama Yasa I Wayan Agus Surya Darma I Wayan Budi Sentana I Wayan Gunaya I Wayan Muka I Wayan Ryon Waryanta I Wayan Wahyu Gautama Ida Ayu Dwi Giriantari Ida Ayu Putu Febri Imawati Ida Bagus Nyoman Yoga Ligia Prapta Kadek Adi Praptha Kadek Suar Wibawa Komang Ayu Triana Indah Komang Budiarta Lie Jasa Linawati Linawati Luki Ardiantoro M Sudarma Made Adi Widyatmika Made Sudarma Made Sudarma Made Sudarma Mimin F Rohmah Minho Jo Minho Jo Minho Jo Naser Jawas Ni Kadek Ariasih, Ni Kadek Ni Kadek Dwi Rusjayanthi, Ni Kadek Ni Kadek Riska Sadini Ni Komang Surya Cahyani Putri Ni Komang Sutiari Ni Komang Widyasanti Ni Luh Gede Pivin Suwirmayanti, S.Kom, MT, Ni Luh Gede Pivin Ni Made Ary Esta Dewi W Ni Made Ary Esta Dewi Wirastuti Ni Made Ika Marini Mandenni Ni Putu Ayu Oka Wiastini Ni Putu Chendy Widya Santi Ni Putu Intan Waindika Dharma Ni Putu Ratindia Apriyanti Ni Putu Sutramiani Nyoman Purnama, Nyoman Nyoman Putra Sastra Nyoman S Kumara Nyoman Sumerta Yasa Perdana, I Putu Iduar Pirade, Evangelika Purnamaswari, Anak Agung Arimas Putra, I Made Suwija Putri Isma Oktawiani Putu Githa Pratiwi Putu Manik Prihatini Putu Putri Wrestra Saridewi putu roy nurbhawa Putu Wira Buana Ricky Aurelius Nutanto Diaz, Ricky Aurelius Riskiyanti, Zuraida Malini Cantika Risky Aswi R, Risky Rosalia Hadi Rukmi Sari Hartati Rukmi Sari Hartati Siti Helmyati Sulya Arya Wasika Tri Ginarsa, I Nyoman Adi Wayan Oger Vihikan Wijayakusuma, I Gusti Ngurah Lanang Wira Bhuana Wira Bhuana, Wira Wiranatha, AA.Kt. Agung Cahyawan Yandi Perdana Yogiswara Dharma Putra Yudiadewi, Made Aprisintia Yusliza Binti Mohd Yasin