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All Journal Jurnal sistem informasi, Teknologi informasi dan komputer Jurnal Informatika dan Teknik Elektro Terapan International Journal of Artificial Intelligence Research Technomedia Journal Jurnal Teknologi dan Informasi El-Mujtama: Jurnal Pengabdian Masyarakat Jurnal Altifani Penelitian dan Pengabdian kepada Masyarakat Riau Jurnal Teknik Informatika

Asmara, Rengga

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Author-ID : 1212827

Religion Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Nursing Public Health Social Sciences Other

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Analisis Sentimen Temporal Tentang Kuliner Di Kota Surabaya Berbasis Gender Menggunakan Bahasa Indonesia Asmara, Rengga; Basuki, Achmad; Al Rasyid, Muhammad Udin Harun
Technomedia Journal Vol 5 No 1 Agustus (2020): TMJ (Technomedia Journal)
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Surabaya is the capital city of East Java Province, Indonesia, and the largest metropolitan city in the province. Surabaya is the largest city in Indonesia after Jakarta. With its large area and a fairly dense population, the city of Surabaya has a variety of culinary to offer. This culinary diversity attracts responses and opinions from the public (both positive and negative). People have certain ways to express their opinions, including through social media. Opinions shared by the Indonesians about Surabaya’s culinary in social media provide the right step to know what people think about the culinary places in Surabaya. But these opinions are very diverse because social media does not decide what people will say. We need opinion analysis to gain uses information from those opinions. In this research, we offered a new approach in analyzing the opinion on the culinary places in Surabaya using temporal analysis based opinion mining. The source is the opinions expressed in Foursquare using Indonesian. The rate of the accuracy is still around 67.32%, because other than Indonesian as the formal language used in the express opinions, social media users there also use many local dialects and slangs.

Aplikasi Pembelajaran Sistem Isyarat Bahasa Indonesia (SIBI) Berbasis Voice Menggunakan OpenSIBI Fatmawati, Risa; Asmara, Rengga; Prayogi, Yanuar Risah; Hakkun, Rizky Yuniar
Technomedia Journal Vol 7 No 1 Juni (2022): TMJ (Technomedia Journal)
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Sign language is one of the means of communication for people who are deaf and speech impaired, especially between normal people and people with disabilities in the wider community. But in reality, not everyone can understand the meaning and purpose of the sign language used so that there is a lack of knowledge of normal people about sign language in Indonesia and there is still a lack of effective and easy-to-understand digital learning media. In this study, we propose a new approach to create a sign language learning application for normal people using voice as input which can later display the results of visualization of sign language movements in the form of 3D animation. The display of 3D animation movements uses data that refers to the SIBI (Indonesian Language Sign System) curriculum. This Sign Language application was built by utilizing the Google Speech to Text API to process voice input, Java as the programming language used, and MySQL to manage the database. Based on system testing and on users (general public and persons with disabilities) using the SUS (System Usability Scale) method, it can be concluded that the sign language learning application with Android-based voice input is successful in facilitating the sign language learning process and in terms of usability or usability of the application getting an assessment that the application can be accepted by users and is suitable for use as a learning support media because its features can be understood well.

Monitoring Proyek Akhir Mahasiswa Berbasis Android Pada Sistem Informasi Manajemen PENS Sekar Puranti, Zazabillah; Yuwono, Wiratmoko; Asmara, Rengga
Technomedia Journal Vol 6 No 2 Februari (2022): TMJ (Technomedia Journal)
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

ABSTRACT The final project monitoring activity takes place in the university area, where the final project is one of the requirements for students to receive graduation from the campus. At the Electronic Engineering Polytechnic Institute of Surabaya, there is already a website-based final project monitoring application. However, the application is still based on a website, access for supervisors requires a VPN, and there are no reminders for students, supervisors, and examiners which will have a fatal impact on students if the final project monitoring process is not carried out properly. Due to some of these problems, this final report research aims to create an android-based final project monitoring application. This application will assist users in monitoring the final project because access via mobile phones will be easier and no longer need to use a VPN. The application is also equipped with a reminder feature so that users do not forget during the process of monitoring the final project. Keywords Monitoring, Final Project, Android, Electronic Engineering Polytechnic Institute of Surabaya

Deteksi Ras Kucing Menggunakan Compound Model Scaling Convolutional Neural Network Azahro Choirunisa, Nadia; Karlita, Tita; Asmara, Rengga
Technomedia Journal Vol 6 No 2 Februari (2022): TMJ (Technomedia Journal)
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Cat is one of a popular animals in the world. Number of cat breeds in the world only about 1%, so most are dominated by cats mixed or domestic cat. Nevertheless, there are so many different types of cat breeds in the world, that it is sometimes difficult to identify them. Therefore, we need a system that can recognize the types of cat breeds. One technique of deep learning that may apprehend and hit upon gadgets in a photograph is Convolutional Neural Network (CNN). CNN functionality is alleged because the nice technique in phrases of item detection and item recognition. The author used 9 different types of cat breeds containing 2700 images. The EfficientNet-B0 architecture is used on the system. The most optimal model has earned the accuracy of 95%. Keywords : Deep Learning, Convolutional Neural Network (CNN), Cat breeds, EfficientNet-B0.

Co-Authors ., Nailussa’ada Achmad Basuki Adawiyah, Robi’atul Ahsan, Ahmad Syauqi Al, Mohammad Jawahir Amalia, Luri Shafira Andhik Ampuh Yunanto Arna Fariza Azahro Choirunisa, Nadia Azhara, Khanza Fadila Azizah, Agustiani Nur Basofi, Arif Desy Intan Permatasari, Desy Intan Entin Martiana Kusumaningtyas Fachrian, Zuhad Achmad Fatmawati, Risa Ferry Astika Saputra Fitrah Maharani Humaira Hasnaa, Rosyiidah Humaira, Fitrah Maharani Ira Prasetyaningrum Istiqomah, Galuh Nurul Leksana, Bayu Hadi M Udin Harun Al Rasyid, M Udin Harun Martono, Hero Yudo Mu'arifin Mubtada’i, Nur Rosyid Nikma Prastita, Valentia Nurhidayah - Panggalih, Bintang Ampuh Rizky Yuniar Hakkun Rusminto Tjatur Widodo Santoso, Dian Septiani Sekar Puranti, Zazabillah Setyorini, Fitri Susetyoko, Ronny Taufiq Hidayatullah Tita Karlita Weny Mistarika Rahmawati Wibowo, Prasetyo Wiratmoko Yuwono Yanuar Risah Prayogi Yuliana Setiowati, Yuliana Zufar, Farhan Izzudin Az

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