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All Journal International Journal of Electrical and Computer Engineering Jurnal Teknik Elektro TELKOMNIKA (Telecommunication Computing Electronics and Control) Journal of Education and Learning (EduLearn) Journal of Telematics and Informatics Jurnal Teknologi Informasi dan Ilmu Komputer International Journal of Advances in Intelligent Informatics JOIV : International Journal on Informatics Visualization Jurnal Sains Teknologi dan Lingkungan (JSTL) JURNAL MEDIA INFORMATIKA BUDIDARMA Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Journal of Computer Science and Informatics Engineering (J-Cosine) EDUMATIC: Jurnal Pendidikan Informatika Jurnal Teknologi Informasi dan Multimedia Jurnal Teknologi Informasi, Komputer, dan Aplikasinya (JTIKA ) Dielektrika : Jurnal Ilmiah Kajian Teori dan Aplikasi Teknik Elektro JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Jurnal Abdi Insani Indonesian Journal of Electrical Engineering and Computer Science Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Teknik Informatika (JUTIF) TIERS Information Technology Journal Jurnal Begawe Teknologi Informasi Lontar Komputer: Jurnal Ilmiah Teknologi Informasi

I Gede Pasek Suta Wijaya

Informatics Engineering Dept., University Of Mataram, Jl. Majapahit 62 Mataram, Mataram INDONESIA

Author-ID : 417288

Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

Published : 101 Documents Claim Missing Document

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Sistem Pakar Diagnosa Penyakit Mata Menggunakan Metode Certainty Factor Berbasis Android Yogi Permana; I Gede Pasek Suta Wijaya; Fitri Bimantoro
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 1 No 1 (2017): Desember 2017
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

This entitled of research "Expert System Diagnosis Eye Diseases Using MethodCertainty Factor Based Android" is proposed due to the increased spread eye diseases thatis leads to blindness in Indonesia it is happened because of the limited facilities of eyehealth services in health centers and hospitals, as well as lack of eye doctor who canexamine the eye, making eye left untreated and can cause serious damage to the eye.Therefore, many people are already suffering from the early symptoms of blindnessletting untreated without properly treatment. The purpose of this study is to develop anexpert system that is capable of providing information about eye diseases along withsuggested solutions of the disease suffered by imitating the analysis of an eye doctor.The system is built using certainty factor method which is an algorithm that isimprove the uncertainty idea of an expert. This method is used to describe the level ofconfidence of experts on issues being addressed. This system is built by Ionic frameworkfor Android applications with PHP, HTML5 and AngularJS.The system is able to provide information about eye diseases through the processof diagnosis, that can be used for early treatment of eye diseases. The whole function ofthis expert system application already worked properly without any mistakes. Anddiagnostics accuracy rate of the system is 75% in the diagnosis process of 15 diseases and52 symptoms.

Steganografi Menggunakan Metode Pencocokan LSB dan Karakter Non-Breaking Space Sebagai Penanda Pesan Ulil Amri; I Gede Pasek Suta Wijaya; Fitri Bimantoro
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 1 No 1 (2017): Desember 2017
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Keamanan sebuah informasi dalam sebuah jalur komunikasi merupakan salah satu aspek penting. Steganografi adalah salah satu metode yang digunakan untuk mengamankan suatu informasi. Tujuan penelitian ini adalah untuk mengembangkan metode steganografi yang baik digunakan pada media teks. Dalam penelitian ini, teknik yang digunakan untuk menyisipkan pesan rahasia pada media teks adalah dengan melakukan pencocokan LSB (Least Significant Bit) dan menggunakan karakter non-breaking space sebagai penanda pesan. Untuk mengevaluasi kualitas file teks hasil steganografi dilakukan pengujian nilai Peak Signal to Noise Rasio (PSNR), perhitungan skor Jaro-Winkler distance, pengujian dengan angket kuesioner, dan perhitungan nilai rasio kapasitas. Hasil pengujian memberikan nilai PSNR dengan selisih yang kecil, skor Jaro-Winkler distance dengan skor rata-rata lebih dari 0,8, nilai rata-rata Mean Opinion Score (MOS) 2,36 dan 1,79 untuk setiap parameter uji, dan nilai rasio kapasitas yang dihasilkan kurang dari 1%. Oleh karena itu, metode ini memiliki kemampuan yang cukup baik dalam menyembunyikan pesan tetapi memiliki daya tampung yang tergolong kecil

Studi Komputasi Paralel dan Implementasinya pada Kasus Komputasi Matriks Besar Mayzar Anas; I Gede Pasek Suta Wijaya; L. A. Syamsul Irfan
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 1 No 1 (2017): Desember 2017
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Komputasi merupakan pilar ketiga dalam dunia sains untuk mencahakan masalah secara tepat dan cepat. Penelitian ini merupakan suatu alternatif mudah dan murah dari komputasi paraley yang menggunakan library dan memanfaatkan memori dan prosesor terpisah dalam susunan komputer-komputer dalam jaringan.Komputasi paralel ini diusulkan sebagai pengganti penggunaan pemrograman tradisional dalam satu CPU yang instruksinya serial (tidak dapat dipecah). Komputasi paralel ini diaplikasikan pada penyelesaian permasalahan pada matriks besar seperti menghitung lel yang diusulkan dapat menyelesaiakan invers dan penyelsaian persamaan linear simultas serta eigen analisis. Hasil uji menunjukkan bahwa sistem komputasi dapat memecah persoalan diatas dengan tepat dan cepat dibandingkan dengan pemrograman standalone.

perancangan dan implementasi sistem pelaporan monitoring spektrum frekuensi radio Eet Widarini; I Gede Pasek Suta Wijaya; Andy Hidayat Jatmika
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 2 No 1 (2018): Juni 2018
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Loka Monitor Spektrum Frekuensi Radio Mataram office is technical implementation unit is in the Directorate General of Resources and Post and Information. This unit is in charge to implementing the monitoring and control in the field of radio frequency spectrum. This includes monitoring activities consisted of observation frequency band, radio station fixed service / mobile, radio broadcasting and television broadcasting. Currently, the reporting of data processing for monitoring activities is still done manually. To search for any deviation either center frequency deviation, bandwidth deviation nor search for legality of a station so the data must be analyzed one by one. While for the report generation and monitoring data recapitulation that has been processed will be sorted, then be transferred to ROL format (Report Online) as a report to the central office. Therefore, required a system that can process data computerized in order to obtain information about deviations. And required a system that can create reports and monitoring activities recapitulation per point location, per day, per week, per month, per three months, per six months and per year. The system is built by using CodeIgniter framework with the programming language PHP and HTML. The system was developed with six stages : data collecting, literature study, system design, coding / implementation, testing and reporting. Based on the test results that have been done on reporting system that were tested on 6 respondents of employees and 30 informatics students with the average percentage of the answer is 90.65% it the proposed system is already running well according to user needs.

Sistem Informasi Kepuasan Layanan Administrasi Akademik Berbasis IPA (Importance Performance Analysis) Studi Kasus Fakultas Teknik Universitas Mataram Syaifullah Syaifullah; I Gede Pasek Suta Wijaya; Ario Yudo Husodo
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 2 No 1 (2018): Juni 2018
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

This paper presents a Satisfaction Information Systems of Academic Administration Services which is a tool to provide quality assessment of Academic Administration Services of Engineering Faculty, Mataram University. The quality assessment is determined by Importance Performance Analysis (IPA) method of survey data. This information system is designed and built by using CodeIgniter framework with PHP and HTML. The experimental results show that the proposed system has been running properly, which are indicated by a â€œfairly satisfiedâ€ achievement of Academic Administration Services of Engineering Faculty, Civil, Electrical, Mechanical and Informatics Engineering Dept. Based on MOS parameter on students (MOS = 4.45) and admin (MOS = 4.00), show that the system has been running properly.

Pengenalan Wajah Untuk Sistem Kehadiran Menggunakan Metode Eigenface dan Euclidean Distance Fahmi Syuhada; I Gede Pasek Suta Wijaya; Fitri Bimantoro
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 2 No 1 (2018): Juni 2018
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

he development of Information Technology allows faces that are one part of identity that has been widely be used as biometric based security system. This research is a process of designing and making of identification system which is able to detect of human attended. This system implements: viola-jones, eigenface and euclidean distance methods. Viola-jones method is employed as face detection. Eigenface method is used to reduce the face image and to get the weight value. The euclidean distance is impemented as a classification method. The accuracy of this system against 30 register subjects and 15 unregistered subjects is 84%. This accuracy is obtained after the addition of preprocessing process and adaptive training model on the system. Therefore, this research concluded that viola-jones method is very good as face detection, however need to be added face correction process. Meanwhile, eigenface and euclidean distance methods provide good results to recognize face when many training faces are given. The more variations faces of subject are, the higher accuracy is given.

Predict A Person's Personality Based On The Shape of Handwriting of The Letters "i", "o", and "t" Using The Levenberg Marquardt Backpropagation Method Annisa Mujahidah Robbani; I Gede Pasek Suta Wijaya; Fitri Bimantoro; Heri Wijayanto
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 5 No 2 (2021): December 2021
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v5i2.178

The literature shows that Graphology is common and relatively useful in our life. For example, as one of the job requirements. Professional organizations hire a professional handwriting analyst called Graphologist to analyze the characteristic traits of the candidates by identified their handwriting. However, the accuracy of handwriting analysis depends on how skilled the graphologist is, two graphologists which predict the same handwriting may give us a different result of the prediction. To improve the accuracy, we develop a system that can automatically predict a person’s personality based on the shape of the handwriting of the letters "i", "o", and "t" using the Levenberg Marquardt Backpropagation method. Based on this research we got the maximum accuracy by using 2 hidden layers. We got 71,42% of accuracy for the letter “i”, 76,92% of accuracy for the letter “o”, and 60% of accuracy for letter the “t”.

Pengenalan Pola Tulisan Tangan Suku Kata Aksara Sasak Menggunakan Metode Moment Invariant dan Support Vector Machine Riska Yulianti; I Gede Pasek Suta Wijaya; Fitri Bimantoro
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 3 No 2 (2019): December 2019
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

The research of Javanese and Balinese ancient script have been done by some researches. However, the researches still have problems, such as image scaling, noise reduction and image transformation. This research implemented moment invariant and support vector machine to solve these problems especially on Sasak ancient script. The input data used in this research was 2700 handwritten Sasak ancient script. The testing was done to know the effect of thinning and the number of feature by using zoning on the classification performance. Accuracy is used as performance indicator. The highest average accuracy is 89.76%, on the second scenario, the average accuracy obtained is 92.52%.

Jaringan Syaraf Tiruan Model Backpropagation untuk Peramalan Suhu Minimum dan Maksimum, Kelembaban, Tekanan Udara, Jumlah Hari Hujan, dan Curah Hujan Bulanan di Kota Mataram Ida Nyoman Tegeh Adnyana; I Gede Pasek Suta Wijaya; Mohammad Ali Albar
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 3 No 2 (2019): December 2019
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Climate conditions are very influential on various sectors of human life, such as agriculture. Extreme climate can affect the planting and harvest period which can eventually lead to crop failure. Climate forecasting can be done to help mapping the planting period so that agricultural productivity is optimal. Artificial neural network is a method that can be used to forecast climate in the future. In this research, a backpropagation model was used to forecast monthly data on minimum and maximum temperatures, humidity, air pressure, number of rainy days, and rainfall in Mataram city. The accuracy of forecasting result is measured based on MSE (mean square error). Based on the research conducted, the MSE of testing phase are minimum temperature 3.59 x 10-3, maximum temperature 1.97 x 10-4, humidity 2.11 x 10-3, air pressure 2.50 x 10-3, number of rainy days 7.97 x 10-4, and rainfall 1.00 x 10-3.

Sistem Pakar Diagnosa Penyakit Kulit pada Manusia dengan Metode Dempster Shafer Anita Rosana MZ; I Gede Pasek Suta Wijaya; Fitri Bimantoro
Journal of Computer Science and Informatics Engineering (J-Cosine) Vol 4 No 2 (2020): December 2020
Publisher : Informatics Engineering Dept., Faculty of Engineering, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jcosine.v4i2.285

Skin is the broadest organ in the human body that covers the entire surface of the body and acts as a support for human life. Because of its outermost location, the skin is often attacked by various diseases. This research aims to build an expert system to diagnose 10 types of skin diseases caused by viruses, fungi, bacteria, and parasites based on the knowledge of 3 experts using the Dempster Shafer method to obtain conclusions of skin diseases. Each symptom of skin disease has a value of belief that is used to calculate conclusions in the Dempster Shafer method. Expert system applications that are built can run Android-based smartphones. Testing techniques used in this research are black-box testing, theoretical calculations, system accuracy and MOS (Mean Opinion Score). Comparison of the calculation on the system has been appropriate based on the theoretical calculations. System accuracy testing in 30 sample cases resulted in an accuracy of 90%, but if it was seen as a subsection of expert diagnosis, it resulted in a system accuracy of 92.22%. MOS testing on 30 respondents results in a MOS value of 4.24 from a scale of 5 which shows that the system is proper to use and categorized into a good system.

Co-Authors Adi Sugita Pandey Afwani, Royana Agitha, Nadiyasari Ahmad Musnansyah Ahmad Zafrullah Mardiansyah Albar, Moh. Ali Aldian Wahyu Septiadi Aliyah Fajriyani Andy Hidayat Jatmika Anita Rosana MZ Annisa Mujahidah Robbani Anugrah, Febrian Rizky Aprilla, Diah Mitha Aranta, Arik Ariessaputra, Suthami Arik Aranta Arik Aranta Ario Yudo Husodo Ario Yudo Husodo Ario Yudo Husodo Ario Yudo Husodo Ario Yudo Husodo Ario Yudo Husodo Ario Yudo Husodo, Ario Yudo Ariyan Zubaidi Ariyan Zubaidi Awaluddin Ayu Rezki Azizah Arif Paturrahman Belmiro Razak Setiawan Budi Irmawati Budi Irmawati Bulkis Kanata Chaerus Sulton Chandra Adiguna Chandra Adiguna Cipta Ramadhani Darmawan, Riski David Arizaldi Muhammad Dedi Ermansyah Dina Juliani U M, Eka Ditha Nurcahya Avianty Dwitama, Aditya Perwira Joan Dwiyansaputra, Ramaditia Eet Widarini Fa'rifah, Riska Yanu Fachry Abda El Rahman Fadilah . Fahmi Syuhada Faqih Hamami Farhan Yakub Bawazir Fiena Efliana Alfian Firdaus, Asno Azzawagaam Fitrah, Muhammad Dinul Fitri Bimantoro Gibran Satria Nugraha Gibran Satya Nugraha Gibran Satya Nugraha Gibran Satya Nugraha Gibran Satya Nugraha Gibran Satya Nugraha Gou Koutaki Gunawan Haidra Rahman Halil Akhyar Hamidi, Mohammad Zaenuddin Hendy Marcellino Heri Wijayanto Heri Wijayanto Heri Wijayanto Hidayat, Lalu Ramdoni I B K Widiartha I Gde Putu Wirarama Wedaswhara W. I Made Budii i Suksmadana I Made Subiantara Putra I Putu Teguh Putrawan I Wayan Agus Arimbawa I Wayan Agus Arimbawa I Wayan Agus Arimbawa, I Wayan Agus Ida Bagus Ketut Widiartha Ida Bagus Ketut Widiartha Ida Bagus Ketut Widiartha Ida Nyoman Tegeh Adnyana Imam Arief Putrajaya Jayusman, Dirga Jo, Minho Kadriyan, Hamsu Kansha, Lyudza Aprilia Keeichi Uchimura Keiichi Uchimura Keiichi Uchimura L. A. Syamsul Irfan Lalu Sweta Arif Lalu Zulfikar Muslim Lidia Ardhia Wardani Made Agus Dwiputra Mayzar Anas Maz Isa Ansyori Mega Laely Moh Ali Albar Moh. Ali Albar Muhamad Nizam Azmi Muhamad Syamsu Iqbal Muhammad Azmi, Muhammad Muhammad Daden Kasandi Putra Wesa Muhammad Husnul Ramdani Muhammad Khaidar Rahman Muhammad Mukaddam Alaydrus Muhammad Naufal Rizqullah Muhammad Syulhan Al Ghofany Mulyana, Heru Murpratiwi, Santi Ika Mustiari, Mustiari Ni Nyoman Citariani Sumartha Ni Nyoman Kencanawati Nisa, Aisyah Khairun Novian Maududi Novita Nurul Fakhriyah Nugraha, Gibran Satya Nurhalimah Nurhalimah Obenu, Juanri Priskila Pahrul Irfan Pahrul Irfan Pandu Deski Prasetyo Putra, Chairul Fatikhin Rahmadi, Amdila Rahmatin, Baiq Anggita Arsya Ramaditia Dwiyansaputra Ramaditia Dwiyansaputra Ramaditia Dwiyansaputra Ramdhani, Ghina Kamilah Ramlah Nurlaeli Rani Farinda Reza Rismawandi Rina Lestari Riska Yulianti Ristirianto Adi Romi Saefudin Rosalina Rosalina Salsabila Putri Rajani Said Salsabila, Raissa Calista Santi Ika Murpratiwi Saputra, Muhammad Harpan Teguh Satya Nugraha, Gibran Selvira Anandia Intan Maulidya Setiawan, Lalu Rudi Siti Faria Astari Sri Endang Anjarwani Sri Endang Anjarwani Sri Endang Arjarwani Suhada, Destia Suksmadana, I Made Budi Sulastri, Wahyuni Sulfan Akbar Syaifullah Syaifullah Topan Khrisnanda Tri Erna Suharningsih Ulandari, Alisyia Kornelia Wahyu Alfandi Widodo, Agung Mulyo Wirarama Wedashwara Wisnujati, Andika Yogi Permana Yudo Husodo, Ario Zafrullah, Ahmad Zakiyah Rahmiati Zubaidi, Ariyan Zuhraini, Marlia Zul Rijan Firmansyah

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