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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)
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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DOTTED-BOARD MODEL DAN EXTENDED LOCAL SEARCH UNTUK OPTIMALISASI TATA LETAK POLA BUSANA PADA BAHAN BERMOTIF DENGAN MEMPERTIMBANGKAN ATURAN KESERASIAN MOTIF Bimantoro, Fitri; Suciati, Nanik; Arieshanti, Isye
JUTI: Jurnal Ilmiah Teknologi Informasi Vol 13, No 1, Januari 2015
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24068535.v13i1.a390

Abstract

Permasalahan peletakkan pola busana penting dilakukan untuk memperoleh efisiensi dalam penggunaan bahan kain.Tidak hanya itu, waktu pemrosesan dengan memperhatikan keserasian motif juga masih menjadi masalah yang belum terselesaikan. Permasalahan ini dikenal dengan irregular strip packing problem (SPP). Penelitian irregular SPP menggunakan bahan bermotif pernah dilakukan sebelumnya, namun tidak memperhatikan keserasian isi motif. Penelitian ini diusulkan untuk menyelesaikan irregular SPP pada bahan bermotif dengan mempertimbangkan keserasian isi motif. Metode yang diusulkan adalah Dotted Board Model (DBM) yang dikombinasikan dengan Extended Local Search (ELS). Pada tahap awal pola busana dibagi menjadi dua kelompok. Kelompok pola busana yang memiliki aturan keserasian mo-tif, dan kelompok pola busana yang tidak memiliki aturan keserasian motif. Selanjutnya, inisialisasi tata letak awal dil-akukan pada kelompok pola busana yang memiliki aturan keserasian motif menggunakan DBM. Selebihnya, pola busana tanpa aturan keserasian motif akan dioptimalisasi dengan menggunakan ELS. Setiap aturan keserasian memiliki poin yang digunakan sebagai tolak ukur keserasian motif. Berdasarkan ujicoba, kombinasi terbaik ELS+DBM terdapat pada resolusi 3 piksel dengan iterasi local search ke 5. Nilai efisiensi dan waktu ELS+DBM adalah 57% dan 381 detik. Waktu komputasi ELS+DBM lebih cepat dengan selisih waktu komputasi 392,7detik dibandingkan tanpa DBM. Hal ini menun-jukkan bahwa metode ELS+DBM lebih unggul dibandingkan ELS tanpa DBM, karena metode ELS+DBM memiliki waktu yang lebih singkat untuk mencapai nilai efisiensi yang hampir sama.
Analisis Penggunaan Sensor Kamera 3 Dimensi Kinect sebagai Media Pembelajaran Perkuliahan berbasis Student Centered Learning Husodo, Ario Yudo; Bimantoro, Fitri; Arimbawa, I Wayan Agus; Afwani, Royana
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 5, No 1 (2019): Volume 5 No 1
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (964.367 KB) | DOI: 10.26418/jp.v5i1.29893

Abstract

Saat ini, kegiatan belajar mengajar di berbagai universitas di Indonesia umumnya dilakukan menggunakan laptop yang terhubung ke sebuah proyektor. Di dalam proses pengajaran, dosen cenderung menggunakan laptop di ruang kelas, menghubungkan tampilan layar laptop ke sebuah proyektor, kemudian menggunakan wireless pointer sebagai pengendali slide presentasi. Pendekatan semacam ini sayangnya tergolong kurang efektif di dalam perkuliahan berbasis Student Centered Learning (SCL). Di dalam SCL, mahasiswa merupakan pusat kegiatan perkuliahan, dimana keterlibatan dan interaksi mahasiswa di dalam proses penyampaian materi merupakan hal terpenting guna meningkatkan animo dan pemahaman mahasiswa mempelajari suatu topik. Penggunaan teknologi perkuliahan konvensional seperti laptop dan wireless pointer cenderung membuat perkuliahan menjadi 1 arah karena interaksi mahasiswa kurang dapat tersalurkan. Di dalam penelitian ini, dilakukan analisis dampak penggunaan teknologi informasi sensor kamera 3 dimensi Kinect sebagai media pembelajaran dalam suatu sistem Smart Classroom. Kinect merupakan sensor yang dapat menangkap gerakan tangan seseorang kemudian menginterpretasikan gerakan tersebut sebagai suatu perintah komputasi berdasarkan algoritma pemrograman tertentu. Berdasarkan hasil penelitian, penggunaan Kinect terbukti dapat meningkatkan efektivitas pembelajaran SCL dan antusiasme belajar mahasiswa karena mahasiswa dapat berinteraksi di dalam suatu materi perkuliahan secara lebih alami menggunakan gerakan tangan.
Classification of Diabetic Retinopathy Disease Using Convolutional Neural Network Agus Eko Minarno; Mochammad Hazmi Cokro Mandiri; Yufis Azhar; Fitri Bimantoro; Hanung Adi Nugroho; Zaidah Ibrahim
JOIV : International Journal on Informatics Visualization Vol 6, No 1 (2022)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.6.1.857

Abstract

Diabetic Retinopathy (DR) is a disease that causes visual impairment and blindness in patients with it. Diabetic Retinopathy disease appears characterized by a condition of swelling and leakage in the blood vessels located at the back of the retina of the eye. Early detection through the retinal fundus image of the eye could take time and requires an experienced ophthalmologist. This study proposed a deep learning method, the Efficientnet-b7 model to identify diabetic retinopathy disease automatically. This study applies three preprocessing techniques that could be implemented in the dataset "APTOS 2019 Blindness Detection". In preprocessing technique trial scenarios, Usuyama preprocessing technique obtained the best results with accuracy of 89% of train data and 84% in test data compared to Harikrishnan preprocessing technique which has 82% accuracy in test data, and Ben Graham preprocessing has 81% accuracy in test data. In this study, Hyperparameter tuning was conducted to find the best parameters for use on the EfficientNet-B7 Model. In this study, we tested the Efficientnet-B7 model with an augmentation process that can reduce the occurrence of overfitting compared to models without augmentation. Preprocessing techniques and augmentation techniques can influence the proposed EfficientNet-B7 model in terms of performance results and reduce the overfitting of models.
Comparison of Methods for Batik Classification Using Multi Texton Histogram Agus Eko Minarno; Ayu Septya Maulani; Arrie Kurniawardhani; Fitri Bimantoro; Nanik Suciati
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 3: June 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i3.7376

Abstract

Batik is a symbol reflecting Indonesian culture which has been acknowledged by UNESCO since 2009. Batik has various motifs or patterns. Because most regions in Indonesia have their own characteristic of batik motifs, people find difficulties to recognize the variety of Batik. This study attempts to develop a system that can help people to classify Batik motifs using Multi Texton Histogram (MTH) for feature extraction. Meanwhile, k-Nearest Neighbor (k-NN) and Support Vector Machine (SVM) algorithm were employed for classification. The performance of those classifications is then compared to seek the best classification method for Batik classification. The performance is tested 300 images divided into 50 classes. The results show the optimum accuracy achieved using k-NN with k=5 and MTH with 6 textons is 82%; however, SVM and MTH with 6 textons denote 76%. According to the result, MTH as feature extraction, k-NN or SVM as a classifier can be applied on Batik image classification.
Image Retrieval Based on Multi Structure Co-occurrence Descriptor Agus Eko Minarno; Arrie Kurniawardhani; Fitri Bimantoro
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 14, No 3: September 2016
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v14i3.3292

Abstract

This study present a new technique for Batik cloth image retrieval using Micro-Structure Co-occurence Descriptor (MSCD). MSCD is a developed method based on Enhanced Micro Structure Descriptor (EMSD). Previously, EMSD has been improved by adding edge orientation feature. In previous study, EMSD cannot achieve an optimal precision. Therefore, MSCD is proposed to overcome the EMSD drawback using global feature approach, namely Gray Level Co-occurrence Matrix (GLCM). There are 300 batik cloth images which contain 50 classes used for dataset. The performance result show that MSCD can retrieve Batik cloth images more effective than EMSD.
Learning media for the transliteration of Latin letters into Bima script based on android applications Arik Aranta; I Gede Pasek Suta Wijaya; Ario Yudo Husodo; Gibran Satya Nugraha; Ramaditia Dwiyansaputra; Fitri Bimantoro; I Putu Teguh Putrawan
Journal of Education and Learning (EduLearn) Vol 15, No 2: May 2021
Publisher : Intelektual Pustaka Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (745.431 KB) | DOI: 10.11591/edulearn.v15i2.19013

Abstract

Preservation of Indonesian culture is an important thing that must be considered. One of the efforts that have been made in preserving culture is technological development implementation. In cultural preservation, based on data obtained from 45 respondents from the Bima community in Indonesia, 34.9% of the community does not understand the Bima script. It means that only 65.1% of the community can understand Bima script. This condition will continue to grow if there is no effort made to preserve the Bima script. Because people should have a comprehensive knowledge of the Bima script to understand its usage in writing and reading activities, people tend to have less desire to learn the Bima script. Mataram University is trying to develop creative and innovative learning products to learn the Bima script learning model in an interactive application using a smartphone to translate Latin letters into the script. This development aims to facilitate the process of learning Bima characters for the community. The method that has been used is to apply a string replacement algorithm based on the Bima script rules in the reference book containing the ancient Bima script. According to the experiment result, the alpha test value from 31 respondents is 99.36%, and the Beta test value from 45 respondents Bima society is 91.50%. It can be concluded that this application is feasible as a learning medium. 
Beef Quality Classification based on Texture and Color Features using SVM Classifier Rani Farinda; Zul Rijan Firmansyah; Chaerus Sulton; I Gede Pasek Suta WIJAYA; Fitri Bimantoro
Journal of Telematics and Informatics Vol 6, No 3: September 2018
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v6i3.

Abstract

Beef quality can be examined visually by observing the beef color or texture using human eyes.  This manual method is very simple yet very subjective because of differences in knowledge about fresh or defective beef characteristics and differences in accuracy. Therefore, a system that can automatically classify beef quality whether it is still fresh or already defective is needed. In this research, we developed a system that can classify beef quality based on its color and texture features using Support Vector Machines classifier. Statistical approach and Gray Level Co-Occurrence Matrix (GLCM) methods were used for the feature extraction process. The total of data used in this research was 480 images, divided into training and testing datasets. The highest accuracy was 97% for cold beef when the system was tested using color features of HSI color space.
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.
Meningkatkan Efisiensi Rute Pada Protokol Routing AOMDV Menggunakan Metode PA-SHORT di Jaringan MANET Yunia Puspita Wulandari; Andy Hidayat Jatmika; Fitri Bimantoro
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.v1i1.11

Abstract

Mobile Ad-Hoc Network (MANET) is a development of the Ad-Hoc Network, where the nodes of this network have dynamic mobility. There are several types of routing protocols in MANET, one of which is AOMDV. Route discovery on the AOMDV routing protocol is done by calculating the distance based on the number of hops. If the number of hops increased, it may cause a considerable delay and a decrease in throughput. This study compares the performance of the AOMDV routing protocol with the Path Aware-AOMDV (PA-AOMDV) routing protocol. PA-AOMDV routing protocol is obtained through modifications to the performance of the AOMDV protocol with the Path Aware SHORT algorithm. The Path Aware SHORT algorithm is a method to reduce the number of hops. SHORT improves routing optimization by monitoring routes and optimizing these routes that have better paths. The performance of both protocols will be seen based on four parameters, namely throughput, average end-to-end delay, packet delivery ratio, and routing overhead. Result shows that the throughput increased for 50 nodes is 61,84% and for 100 nodes is 45,2%, average end-to-end delay decreased for 50 nodes is 0,066% and for 100 nodes 0,12%, packet delivery ratio increased for 50 nodes is 60,87% and for 100 nodes 82,02%, and routing overhead decreased for 50 nodes is 67,07% and 100 nodes 45,36%.
Rancang Bangun Aplikasi Pencarian Bengkel Dan Cuci Motor Terdekat Berbasis Mobile Liza Yuliana Khairani; Ario Yudo Husodo; 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.v1i2.37

Abstract

As the number of motorcycles users are increasing in Indonesia, so is the problems of the motorcycles that they face. On the other hand, the user of the smartphone is increasing as well. Based on that matters, we can develop an application in order to help the user to cope with their problem easier. The application can help the user to find the nearest garage and motorcycles wash, in order to solve the problems, such as dirty motorcycle, flat tire, the tire burst, oil change, etc. This application was designed to provide some information about the nearest garage, the route to the garage, reveal the comments and send a message to the owner of the garage. Meanwhile, the owner of the garage can see the comments about their garage, receive an order and see the customer location. The testing technique which was used in this research were blackbox and MOS testing. The result of blackbox testing showed that all features can be run as planned, meanwhile, the MOS testing showed the customer respondents value was 84,83% and the owner respondents value was 84,77%. Keywords: Garage location, Motorcycles, Problems of the Motorcycles, Order Service, MOS Testing.
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 Arik Aranta Arik Aranta Arik Aranta 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 Budiman Rabbani Chaerus Sulton Daniel Swanjaya dina hastari Dina Juliani U M, Eka Ditha Nurcahya Avianty Dwiyansaputra, Ramaditia Elfrida Ratnawati Ellysabeth Usmiatiningsih 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 Gibran Satya Nugraha Grendis, Nuraqilla Waidha Bintang Haidar Rahman Haidra Rahman Hamidi, Mohammad Zaenuddin 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 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 Mochammad Hazmi Cokro Mandiri Moh. Ali Albar Moh. Azzam Al Husaini Muhamad Irzan Muhammad Afif Ma'ruf Muhammad Daden Kasandi Putra Wesa Muhammad Dzulhi Raihan 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 Nurhaini Rahmawati Nurhalimah Nurhalimah Obenu, Juanri Priskila Patriaji Ibrahim Maulana Prof. I Gede Pasek Suta Wijaya Putu Wahyu Pratama Ramadhani, Rizky Insania Ramaditia Dwiyansaputra 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 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 Ulil Amri Umbara Diki Pratama Wahyu Alfandi Wildan Suharso Yogi Permana Yudhis, Putu Yudhis Yudo Husodo, Ario Yufis Azhar Yunia Puspita Wulandari Zaidah Ibrahim Zuhraini, Marlia Zul Rijan Firmansyah