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All Journal International Journal of Electrical and Computer Engineering Jurnal Teknik Elektro Lontar Komputer: Jurnal Ilmiah Teknologi Informasi 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) 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
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

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SISTEM KEAMANAN NILAI AKADEMIK ONLINE BERBASIS KODE HASH DENGAN IDENTITAS SERVER SEBAGAI PARAMETER VALIDASI STUDI KASUS: SISTEM DATA NILAI AKADEMIK FAKULTAS TEKNIK – UNIVERSITAS MATARAM Ario Yudo Husodo; I Gede Pasek Suta Wijaya Pasek Suta Wijaya; Heri Wijayanto
JURNAL SAINS TEKNOLOGI & LINGKUNGAN Vol. 1 No. 1 (2015): Jurnal Sains Teknologi & Lingkungan
Publisher : LPPM Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (574.428 KB) | DOI: 10.29303/jstl.v1i1.7

Abstract

Pada Sistem Informasi Akademik  Fakultas Teknik Universitas Mataram (SIA FT Unram) dimungkinkan adanya pihak tidak berwenang untuk mengubah data akademik mahasiswa. Hal ini dikarenakan data akademik mahasiswa disimpan dalam bentuk teks biasa pada basis data server SIA FT Unram. Pengubahan nilai akademik secara illegal ini tentunya dapat merugikan banyak pihak. Keamanan data yang disimpan pada basis data SIA FT Unram merupakan suatu aspek yang perlu dijaga. Keamanan data SIA FT Unram berguna untuk menciptakan system informasi yang dapat menjaga privasi dan validitas data yang disimpan. Pada penelitian ini dibangun system pengamanan informasi penting pada basis data SIA FT Unram menggunakan metode encryption of data in motion. Metode yang digunakan pada penelitian ini berbasis kode hash sebagai kode validasi keabsahan suatu nilai akademik .Metode ini memetakan data akademik mahasiswa menjadi string dengan panjang yang tetap. Pada metode ini dilakukan pengkodean terhadap suatu nilai akademik menggunakan identitas server dan beberapa variabel lain sebagai parameter. Fokus utama penelitian ini adalah untuk mengembangkan system pengamanan data nilai akademik yang cepat dan aman. Kode hash yang dihasilkan pada penelitian ini memiliki panjang 98 karakter. Waktu eksekusi pembuatan kode hash kurang dari 1 detik untuk 10 data nilai akademik mahasiswa. Hasil penelitian menunjukkan bahwa system keamanan yang dibangun telah dapat mengamankan data nilai akademik SIA FT Unram. Metode yang dikembangkan pada penelitian ini juga terbukti tidak mengurangi waktu kerja SIA FT Unram secara signifikan. Kata Kunci: Sistem keamanan, data akademik,enkripsi, hash
Sistem Pakar Penyakit Mata Merah Berbasis Web Menggunakan Metode Decision Tree dengan Forward Chaining Tri Erna Suharningsih; I Gede Pasek Suta Wijaya; Ario Yudo Husodo
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 1 No 1 (2019): March 2019
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v1i1.2

Abstract

This paper presents an expert system disease of the red-eye web-based using the decision tree with forward chaining algorithms. The aims are to design and to implement a web-based expert system of disorders of the red-eye (disease) and to provide a second opinion web tool based for diagnosing the red eye (disease). The system was built using framework CodeIgniter with php and html. The experimental results show that the system has run well which is indicated by valid black box achievements, 55% of conformity to experts from the Faculty of Medicine of the University of Mataram and 4.19 of five leakage scale of MOS parameter. It means that the expert system of the red-eye disease has been work properly and potentially to be implemented for the community.
Integrasi Sistem Informasi Kepuasan Belajar Mengajar Program Studi Teknik Informatika Dengan Sistem Informasi Akademik Unram Menggunakan Web Service Fitri Bimantoro; Ida Bagus Ketut Widiartha; I Gede Pasek Suta Wijaya; Ario Yudo Husodo
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 1 No 1 (2019): March 2019
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v1i1.7

Abstract

One of the tasks of a university is teaching. To keep the quality by improving the teaching qualifications, materials, teaching facilities, and infrastructure. but, one of the important things is to keep the quality of teaching. The quality of teaching can be measured from the feedback of the students. Informatics Department of Mataram University has a system to get feedback from its students called SIKBM (a questioner system for teaching). Unfortunately, not of all the students will fill this questioner because there is no interest for the students. So, we apply a web service system that connects SIKBM and SIA (academic information system). It will force the students to access SIKBM as a requirement to fill KRS (Course selection sheet) on SIA. The result shows that on even semester of 2017, we gain feedback for all of the courses we did not get in the previous years.
Sistem Analisa Tingkat Kepuasan Mahasiswa Terhadap Kegiatan Belajar Mengajar pada PSTI Unram dengan Menggunakan Metode Service Quality Zakiyah Rahmiati; I Gede Pasek Suta Wijaya; Budi Irmawati
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 1 No 1 (2019): March 2019
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v1i1.17

Abstract

This system designed by website-based with service quality method which providing display online questionnaire that can be access by students of PSTI Unram. Students objectively fill the questionnaire, then the result will be displayed on page of Head Master, Lecturer and Operator PSTI Unram. There three ways in testing the application, Black Box, System, and Mean Opinion Score. Black Box shows that all the features run well. System shows the result of the system servqual score calculation is accordance with manual calculation. MOS administred 40 respondence of PSTI Unram Students, the result as much as 4,15. This shows that the system has been done well and accordance with the expected. Concluded that with this system, studens able to give the evaluation towards service provided during teaching and learning process, and PSTI Unram can receive the information about the analysis result of students satisfaction level towards the quality of service given. And for PSTI Unram can improve performance to provide an excellent services in the future.
Klasifikasi Genre Musik Menggunakan Metode Mel-Frequency Cepstrum Coefficients dan K-Nearest Neighbors Classifier Pandu Deski Prasetyo; I Gede Pasek Suta Wijaya; Ario Yudo Husodo
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 1 No 2 (2019): September 2019
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v1i2.41

Abstract

In the world of music, music has several types of genre genres that can be grouped, there are music genre pop, rock, blues, slow, jazz, metal, dangdut and many more. And for each person must have a genre favorite that is different from one another, but to distinguish it does not need to play music files one by one especially if the number of music files is a lot. Therefore, computer software is needed to distinguish each of these genres in order to make it easier for users to distinguish and group the types of music according to their wishes automatically. By using the MFCC and KNN methods as a classification solution to classify several types of genre streams can be easily resolved. The results achieved from this study reached 52,4% with a K = 13 as the nearest neighboring point.
Klasifikasi Kualitas Kesegaran Buah Semangka berdasarkan Fitur Warna YCbCr menggunakan Algoritma Weigthed K-Means Lalu Zulfikar Muslim; I Gede Pasek Suta Wijaya; Fitri Bimantoro
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 1 No 2 (2019): September 2019
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v1i2.51

Abstract

The classification of fruit quality on a computer using image data is very necessary for a faster and easier sorting process. Additionally, this can also be used in making decisions and policies related to business strategies in the industry. The paper presents the quality classification of watermelon that is carried out using the Weighted K - Means Algorithm. The watermelon is classified into three grou ps, namely fresh, medium, and rotten. There are two stages for the classification process, namely training, and examinations. The classification works using the YCbCr color space. In the training phase, the pair of input and the target of data that is proc essed to obtain the weight of k - Means. While for the testing/classification phase, the input data processed is an arbitrary image that has not been classified. The classification shows that the greater the amount of training data is, the more computing tim e is needed for the training and testing process and the higher accuracy, precision, and recall of the classification are obtained. While the greater the number of k values, the longer computational time needed for the training and testing.
Haar Wavelet Untuk Ekstraksi Fitur Energi, Standar Deviasi, Dan Histogram Dalam Sistem Temu Kembali Citra Adi Sugita Pandey; I Gede Pasek Suta Wijaya; Fitri Bimantoro
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 2 No 1 (2020): March 2020
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v2i1.67

Abstract

Image retrieval initially uses a query in the form of text to search for images in the database. Image search using text query has a weakness because of the limited description of information stored or given by humans to the metadata on an inconsistent image that greatly affects the duration of searching an image in a database. Content based image retrieval (CBIR) is an image processing application to find the image sought in a large image database based on a query or user request. CBIR technique utilizes features that exist in images, namely color, texture, and shape. These features will be used as a basis for searching images in an image database. In this study the authors used the Haar wavelet method and histogram to look for texture and color features in the image. Then the features found are matched with features stored in the database using the Euclidian distance method. In this study the authors used the Corel dataset as research material. The dataset used is classified into 3 categories: bus, animal and sunset. Each category consists of 100 images where 70% are training images and 30% are test images.
Identifikasi Iris Mata Menggunakan Metode Wavelet Daubechies dan K-Nearest Neighbor Fiena Efliana Alfian; I Gede Pasek Suta Wijaya; Fitri Bimantoro
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 2 No 1 (2020): March 2020
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v2i1.76

Abstract

Human iris has a very unique pattern which is different for each person so it is possible to use it as a basic of biometric recognition. To identify texture in an image, texture analysis method can be used. There is some texture analysis method, one of them is wavelet that extract the feature of image based on energy. In this research made a simulation to identified eyes iris based on Daubechies wavelet transform. First, the image of iris is segmented from eye image then enhanced with histogram equalization. Then used Daubechies wavelet method to get the energy value. The next step is recognition using K-Nearest Neighbor as the data classification. Three experiments are done in the research, those are influence of number of samples in database, influence of Daubechies wavelet transform level, and influence of the number of testing samples to calculate the level of False Positive Rate. As the result, the highest accuracy is achieved using Daubechies 8 level 3 with three samples iris image saved is 93,50%. Then, the lowest accuracy is achieved using Daubechies 4 level 1 and 3, and Daubechies 6 level 1 with one sample iris image saved is 91,50%. Keywords: biometric, human iris, texture analysis, Daubechies wavelet transform, K-Nearest Neighbor
Sistem Temu Kembali Citra Menggunakan Ciri Multi Tekston Histogram dan Invariant Moment Ramlah Nurlaeli; I Gede Pasek Suta Wijaya; Fitri Bimantoro
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 2 No 1 (2020): March 2020
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v2i1.77

Abstract

Image retrieval is an image search method by performing a comparison between the query image and the image contained in the database based on the existing information. This study proposes to save the characteristic of Indonesian batik, so the system can help in the prevention of claims from other countries. This study discusses the content-based image retrieval using Multi Texton Histogram and Invariant Moment. MTH is known as a method of describing the characteristics of the surface texture, and IM is a method that produces characteristic geometry of an object and the introduction of geometry that are independent of translation, rotation, and scaling. This study used 10,000 each Batik and Corel images as datasets. The system will take random sample of 7,000 images as training data and the rest is used as the testing data. As the result, Batik Dataset produces precision of 99.75% and a recall of 14:25%. While Corel Dataset produces precision of 36.63% and a recall of 5:23%. The system generates a better performance in the Batik dataset because batik texture is monotonous. While, the Corel dataset has more diversified of the shape and texture. Keywords: Batik, Image Retrieval, multi texton histogram, invariant moment
Klasifikasi Kain Songket Lombok Berdasarkan Fitur GLCM dan Moment Invariant Dengan Teknik Pengklasifikasian Linear Discriminant Analysis (LDA) Nurhalimah Nurhalimah; I Gede Pasek Suta Wijaya; Fitri Bimantoro
JTIKA (Jurnal Teknik Informatika, Komputer dan Aplikasinya) Vol 2 No 2 (2020): September 2020
Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jtika.v2i2.98

Abstract

Songket is one of Indonesia's cultural heritage that is still present today. One of the most famous songket woven fabrics is the Lombok songket. Lombok songket has diverse, unique, and beautiful motifs. However public knowledge of Lombok songket motifs is still minimal and the difference between one motif with another is still unknown. The lack of digitalized data collection is one reason for this. Therefore, we need a system that can classify the Lombok songket automatically. In this study, a system was developed based on texture features and shape features using Linear Discriminant Analysis (LDA). The GLCM method is used in the texture feature extraction process and the Invariant Moment method is used in the feature extraction process. The total data used in this study is 1000 images from 10 Lombok songket motifs which are divided into training data and test data. The highest accuracy is obtained on the Invariant Moment and GLCM feature with an image resolution of 300x300 pixels using the most effective feature that is equal to 96.67%.
Co-Authors Adi Sugita Pandey Afwani, Royana Agitha, Nadiyasari Ahmad Musnansyah Ahmad Zafrullah Mardiansyah Akhyar, Halil Albar, Moh. Ali Aldian Wahyu Septiadi 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 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 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 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 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 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