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All Journal Lontar Komputer: Jurnal Ilmiah Teknologi Informasi TELKOMNIKA (Telecommunication Computing Electronics and Control) Journal of Education and Learning (EduLearn) JUTI: Jurnal Ilmiah Teknologi Informasi Journal of Telematics and Informatics Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) JOIV : International Journal on Informatics Visualization JURNAL MEDIA INFORMATIKA BUDIDARMA Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal RESISTOR (Rekayasa Sistem Komputer) Journal of Computer Science and Informatics Engineering (J-Cosine) EDUMATIC: Jurnal Pendidikan Informatika 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 Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Teknik Informatika (JUTIF) Jurnal Begawe Teknologi Informasi Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Lontar Komputer: Jurnal Ilmiah Teknologi Informasi
Fitri Bimantoro
Informatics Engineering Dept., Faculty Of Engineering, University Of Mataram
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry 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 Mechanical Engineering Public Health Social Sciences Transportation Other

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Rancang Bangun Sistem Informasi TOEFL pada Pusat Bahasa Universitas Mataram Imam Tantowi; Moh. Ali Albar; 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.v1i2.56

Abstract

This research was conducted based on existing problems in the registration system, scheduling, and announcement of the results of the TOEFL test at the Language Center of the University of Mataram. Where registration, scheduling, and the announcement of TOEFL test results are done manually which requires prospective participants to register directly at the language center of the University of Mataram. This system is expected to simplify the registration process, scheduling, displaying available quotas and checking TOEFL test results. This system was built using a CodeIgniter framework, XAMPP as a web server and MySQL PhpMyadmin as its database server and built with the waterfall model as a system development method. This system is tested by the black box method and user interface testing will be used subjectively testing using the mean opinion score (MOS) by involving several respondents. Based on the test results of the Mean Opinion Score method, it can be concluded that 66.1% of the respondents agreed and 33% of the respondents strongly agreed with the TOEFL Information System Design in UNRAM.
Sistem Presensi Siswa berbasis Internet of Things menggunakan Sensor Sidik Jari pada SMK Perhotelan 45 Mataram Baiq Rizki Putri Utami; I Wayan Agus Arimbawa; 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.v1i2.59

Abstract

Fingerprint is one of the unique part of human body that can be used as a personal identity with the help of fingerprint biometric technology to help identify it. The use of fingerprint biometric technology can be a solution for student attendance that helps minimize errors or fraud such as manipulation or falsification in the process of recording attendance. The application of computerized attendance recording can be done by utilizing the concept of the Internet of Things (IoT) which assumes that electronic devices can be connected to each other to communicate or exchange data independently through internet networks that using protocols to communicate, including the MQTT (Message Queue Telemetry Transport protocol), which is lightweight message and designed for devices with limited resources. Therefore, an Internet of Things based attendance system was created by utilizing fingerprint sensor technology on the MQTT protocol to assist schools in improving attendance recording performance, as well simplifying the process of recording student attendance at SMK Perhotelan 45 Mataram which still applies conventional attendance recording procedure. The fingerprint enroll process is carried out with a system interface in the form of a web application using the MQTT protocol. Fingerprint feature data is stored on the fingerprint sensor memory module. The total time used to record attendance for 10 respondents is 11,241 seconds with the average time obtained is 1.1241 seconds. It was found that 50% of users agreed to the application of the internet-based fingerprint presence system based on MOS 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
Multinomial Naïve Bayes untuk Klasifikasi Artikel Online tentang Gempa di Indonesia Alif Sabrani; I Gede Wirarama Wedashwara W.; 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.v2i1.87

Abstract

Indonesia is a country where earthquake often occurs. This circumstances lead to many amount of news about earthquake in Indonesia was served. One popular way to provide news is through online article. Online article that contains information about earthquake often classified to Economic, Health, and Tourism category. Text classification can help the process of this article categorization. In this paper, a research about how multinomial naïve bayes performs on categorization of online article about earthquake in Indonesia was done. TF-IDF was used to determine weight of each feature. The testing was done by using unigram feature, bigram feature, and the combination of both . Furthermore, the testing was also done by removing stemming and stopwords removal from preprocessing. The highest F-measure obtained by 5-fold cross validation is 95.20% from a scenario where combination of both unigam and bigram feature used plus stemming and stopwords removal are included in preprocessing.
Rancang Bangun Sistem Monitoring dan Controlling Penerangan Jalan Umum Berbasis IoT dan Android Rijalul Imam; I Gede Putu Wirarama Wedashwara W; 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.v2i1.88

Abstract

Abstract: Public street lighting (PSL) is an element or component that must be present in every road, functioning as street lighting at night for the safety of motorists. Most of public street lighting is lit at night through morning continuously without a system of monitoring and control, which is consuming electricity. Therefore in this study a prototype system was designed to monitor and control public street lighting based on IoT and Android. It use Dimmer as a microcontroller, Dimmer as a voltage regulation, and LDR sensor for taking light intensity. Conventionally, public street lighting only turns on at night and turn off during the day. Research on monitoring and controlling street lighting in addition to being made that can be ON and OFF lights, it also can reduced electric voltage to dim the light intensity. Keywords: Internet of Things, Public Street Lighting (LPJU) Relay, Dimmer, SensorLDR.
Penerapan Algoritma Rule Base dengan Pendekatan Hexadesimal pada Transliterasi Aksara Bima Menjadi Huruf Latin Arik Aranta; Fitri Bimantoro; I Putu Teguh Putrawan
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.v2i1.96

Abstract

Aksara Bima is a text-based information exchange media that has never been lost. At this time the Bima script began to be studied again indicated, with researchers who began to explore the history and stages of the process of digitizing the characters including the Bima script. Thus providing hope for the use of characters in community activities. One problem faced when wanting to learn the characters felt by the community is the different forms of characters in Latin letters and there are fixed rules when writing characters that make the process of writing characters feel difficult. So the writing of characters in daily activities in community activities still cannot be said to be massive due to these problems. In this study, the writer will develop an algorithm that can facilitate the learning activities of characters, which is specialized in the process of reading the Bima Script. The method adopts the concept of machine learning that is applied to the process of transliteration of Bima, into Latin letters. With a string replacement algorithm that is optimized by using hexadecimal numbers. The results obtained from this transliteration process in the form of system accuracy that reaches 90.64% of 171 implemented rule base.
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%.
Pengenalan Pola Tulisan Tangan Aksara Sasak Menggunakan Metode Linear Discriminant Analysis dan Jaringan Syaraf Tiruan Jenis Backpropagation A.A.Sg. Mas Karunia Maharani; 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.v2i2.105

Abstract

Sasak’s script is the one of Indonesia's cultural heritages which is endangered language category and it needs to be preserved so its not become extinct script. If there is no preservation, Sasak’s script will be close to extinction. Given the importance of conservation efforts, a reserch was carried out to recognize the Sasak’s script handwriting patterns. This reserch aims to see the optimal model for recognizing Sasak script patterns and to see how accurate the Linear Discriminant Analysis method as extraction features and Backpropagation Neural Network as a classification method for recognizing Sasak’s script patterns. The dataset in this reserch consisted of three variations amount of data which are 13500, 10800 and 2700. According to the final results of the study the best accuracy was obtained in the 10800 dataset, 92.20% with 92% precision and 92% recall with 250,691s computing time. The test is based on the best paramater of DCT coefficient test parameters, eigen value, number of neurons, number of hidden layers and learning rate that has been tested before.
Co-Authors A.A.Sg. Mas Karunia Maharani Ade Ragil Purwandani Adi Sugita Pandey Afwani, Royana Agitha, Nadiyasari Agus Eko Minarno Ahmad Dia’ul Haqqi Ahmad Zafrullah Mardiansyah Aisyah, Yunda Akhyar, Halil Aldian Wahyu Septiadi Alif Sabrani Anita Rosana MZ Annisa Mujahidah Robbani Anugrah, Febrian Rizky Aohana, Mizanul Ridho Aprilla, Diah Mitha Aranta, Arik Arik Aranta Arik Aranta Ario Yudo Ario Yudo Husodo Ario Yudo Husodo Ario Yudo Husodo Ario Yudo Husodo Ario Yudo Husodo, Ario Yudo Arrie Kurniawardhani arrie kurniawardhany, arrie Ayu Septya Maulani B. Nurwahyu Hairani Bagaskara, Andhika Dwija Baiq Rizki Putri Utami Budi Irmawati Chaerus Sulton Cokro Mandiri, Mochammad Hazmi Daniel Swanjaya Darmawan, Riski dina hastari Dina Juliani U M, Eka Ditha Nurcahya Avianty Dwiyansaputra, Ramaditia Ellysabeth Usmiatiningsih Fachry Abda El Rahman Fadilah . Fahmi Syuhada Faqih Hamami fathin zulian tsany Fernanda Dicky Ivansyah Fiena Efliana Alfian Fuad Fadlila Surenggana Fuad Fadlila Surenggana Gibran Satria Nugraha Gibran Satya Nugraha Gibran Satya Nugraha Gibran Satya Nugraha Gibran Satya Nugraha Gibran Satya Nugraha Grendis, Nuraqilla Waidha Bintang Haidar Rahman Haidra Rahman Hamidi, Mohammad Zaenuddin Hanung Adi Nugroho Heri Wijayanto Hidhayah, Ratu Nisful Laily husnul khotimah I B K Widiartha I Gede Andika I Gede Pasek Suta Wijaya I Gede Putu Wirarama Wadashwara Wirawan I Gede Putu Wirarama Wedashwara W I Gede Wirarama Wedashwara W. I Putu Teguh Putrawan I Putu Teguh Putrawan I Wayan Agus Arimbawa I Wayan Agus Arimbawa, I Wayan Agus Ibrahim, Zaidah Ida Bagus Ketut Widiartha Ida Bagus Ketut Widiartha Imam Tantowi Isye Arieshanti Jatmika, Andy Hidayat Kansha, Lyudza Aprilia Lalu Zulfikar Muslim Lidia Ardhia Wardani Liza Yuliana Khairani Marcellino, Hendy Maulana Surya Negara Maulana, Sutan Fajri Mizanul Ridho Aohana Moh. Ali Albar Moh. Azzam Al Husaini Muhamad Irzan Muhammad Afif Ma'ruf Muhammad Daden Kasandi Putra Wesa Muhammad Edy Kurniawan Basri Muhammad Giri Restu Adjie Muhammad Hadi Muhammad Hadiasri Muhammad Khaidar Rahman Muhammad Sholihul Hamdi Muhammad, David Arizaldi Muntari Muntari Murpratiwi, Santi Ika Nanik Suciati Nazibullah Nazibullah Ni Nyoman Citariani Sumartha Nindya Alita Rosalia Noor Alamsyah Novanita Laylatul Husna Novita Nurul Fakhriyah Nugraha, Gibran Satya Nuraqilla Waidha Bintang Grendis Nurhaini Rahmawati Nurhalimah Nurhalimah Obenu, Juanri Priskila Patriaji Ibrahim Maulana Prof. I Gede Pasek Suta Wijaya Putu Wahyu Pratama Rabbani, Budiman Raihan, Muhammad Dzulhi Ramadhani, Rizky Insania Ramaditia Dwiyansaputra Ramaditia Dwiyansaputra Ramdhani, Ghina Kamilah Ramlah Nurlaeli Rani Farinda Regania Pasca Rassy Rijalul Imam Rina Lestari Riska Yulianti Rival Biasrori rizka amalia Rizki Rahmadi Rizqullah, Muhammad Naufal Robert Silas Kabanga Rosalina Rosalina Salma Nabilla Ulpa Salsabila Putri Rajani Said Satya Nugraha, Gibran Setiawan, Lalu Rudi Susi Rahayu Suwardiman Suwardiman Tazkiya Aulia Rachman Teguh Ardian Samudra Ulandari, Alisyia Kornelia Umbara Diki Pratama Wahyu Alfandi Wildan Suharso Yogi Permana Yudhis, Putu Yudhis Yudo Husodo, Ario Yufis Azhar Yunia Puspita Wulandari Zuhraini, Marlia Zul Rijan Firmansyah