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All Journal International Journal of Electrical and Computer Engineering Erudio: Journal of Educational Innovation Jurnal Transformatika Journal of Development Research Journal of Information Technology and Computer Science SMARTICS Journal Prosiding Seminar Nasional Teknoka Jurnal Tecnoscienza JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Perwira Journal of Science and Engineering (PJSE) Jurnal Inovasi dan Pengembangan Hasil Pengabdian Masyarakat Jurnal Informatika Polinema (JIP)
Rizdania, Rizdania
Universitas PGRI Wiranegara Pasuruan, Indonesia
Religion Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Social Sciences Other

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Development of Telegram Bot for Flipped Learning Chemistry Class with UCD Approach Muniroh, Amirotul; Rizdania
Journal of Information Technology and Computer Science Vol. 6 No. 3: December 2021
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (924.609 KB) | DOI: 10.25126/jitecs.202163370

Abstract

The need for media that supports online learning is increasing along with the Covid-19 pandemic that is spreading in the world. The learning media is expected to be in the form of media that is easy to use and does not require additional costs incurred by students. One application that is widely used today is Telegram. The application provides a telegram bot facility that can assist teachers in delivering the material they are taught. By using the telegram bot, students can easily use applications on their mobile phones without installing additional applications. This study discusses the development of online learning methods using telegram bots as a medium for delivering material to students using the approach of UCD. This study used usability testing to evaluate the Telegram bot as the media for flipped learning. There are five indicators measured in the usability evaluation we used in this research. The result of the assesment is 83.56%.
Augmented reality objects design in augmented story book mobile application for better engagement Sherina Izzaty; Herman Tolle; Rizdania Dermawi; Frihandhika Permana
International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 1: February 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (645.216 KB) | DOI: 10.11591/ijece.v9i1.pp570-576

Abstract

The folktale is a kind of story that has some good points, such as developing a sense of story and shaping up positive attitudes towards children. However, people seem to abandon those good points and often give the children smartphones instead of folktale through the conventional book. Recently, smartphones’ capabilities have rapidly improved, so that augmented reality (AR) story books which combine conventional book and smartphone can be developed. This research is conducted to examine which one from three provided models that work best for engagement in a folktale augmented book. Those designs will be discussed in both subjective and objective approach, correspondingly. The result from subjective approach is the animated video AR design becomes the most pleasing design. The picture and narrator’s voice AR design, by contrast, becomes the most efficient design based on objective approach.
Development of Augmented Reality for Children Book Lutung Kasarung Frihandhika Permana; Rizdania Dermawi; Sherina Izzaty
Journal of Development Research Vol. 5 No. 2 (2021): Volume 5, Number 2, November 2021
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Nahdlatul Ulama Blitar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/jdr.v5i2.182

Abstract

Folklore needs to be preserved and developed to improve the nation's emotional intelligence, especially the emotional intelligence of elementary school students who are the nation's next generation. With current technological advances, it is possible to develop an ordinary folklore book into a more interesting folklore book with the addition of Augmented Reality technology in it. By using the System Development Life Cycle (SDLC) method, an Augmented Reality-based application can be created to be able to make Lutung Kasarung children's folklore books can be enjoyed by getting experience that is more than just reading ordinary physical books because there is Augmented Reality technology inside. This Augmented Reality technology has 100% accuracy if it meets the specified requirements, namely a distance of 45 centimeters and a height of 30 centimeters, and in testing at a distance of 50 centimeters, 55 centimeters, 60 centimeters, 65 centimeters with a height of 25 centimeters and 30 centimeters. In addition, with the AR Book, it is also expected to be able to introduce AR technology to both parents and children as an alternative to children's fairy tale books.
Sistem Pendukung Keputusan (SPK) Pemilihan Jurusan Perguruan Tinggi Menggunakan Algoritma Fuzzy Mamdani Rizdania Rizdania
JURNAL TECNOSCIENZA Vol. 6 No. 1 (2021): TECNOSCIENZA
Publisher : JURNAL TECNOSCIENZA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51158/tecnoscienza.v6i1.529

Abstract

Menentukan jurusan perguruan tinggi yang akan dipilih setelah selesai menempuh Sekolah Lanjutan Tingkat Atas (SLTA) bukanlah hal yang mudah untuk dilakukan, apalagi bagi para siswa yang tidak memiliki banyak sumber dan informasi yang berhubungan dengan pendidikan tinggi. Penelitian ini menerapkan logika fuzzy dengan metode Mamdani yang berdasarkan pada 6 parameter input berupa hasil tes IQ yaitu nilai penalaran, numerikal, mekanik, abstrak, verbal dan logika. Terdapat output yang terdiri dari 8 pilihan jurusan perguruan tinggi yaitu: Teknik, Sains, Ekonomi/Bisnis, Kedokteran, Pertanian/Peternakan, Hukum/Sospol, Sastra/Seni/Budaya, Informatika/Komputer. Hasil penelitian ini mempermudah dan memberikan dukungan bagi siswa SMA dalam membantu memilih jurusan di perguruan tinggi sesuai dengan hasil tes IQ. Selain dapat membantu siswa SMA, metode ini juga dapat membantu guru Bimbingan Konseling (BK) dalam memberikan arahan kepada para siswa SMU dalam memberikan rekomendasi dalam memilih jurusan di perguruan tinggi.
THE EFFECT OF FLIPPED CLASSROOM MODEL USING TELEGRAM BOT IN TEACHING BASIC CHEMISTRY Amirotul Muniroh; Rizdania Rizdania; Rasyidah Nur Aisyah
Erudio Journal of Educational Innovation Vol 9, No 2 (2022): Erudio Journal of Educational Innovation
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.8081396

Abstract

It is required for all educational components to use online learning during the COVID-19 pandemic. The flipped classroom model with social media can be an excellent way to implement the changes necessary for the modern educational environment, particularly Telegram. This study analyzed how a flipped classroom using a telegram bot for basic chemistry instruction fared during the COVID-19 outbreak. The research participants were 40 students from SMAN 1 Gondangwetan Pasuruan. They were split into experimental and control classes; each group consisted of twenty students. Using the questionnaire, also the data from the pre-test and post-test were gathered and analyzed. Data were examined using two average difference tests and descriptive quantitative percentages (Mann-Whitney test). The findings demonstrated that experimental classes improved students' cognitive learning outcomes. About 95% of the N-Gain scores were examined in the test group, compared to 70% in the control class. According to the Mann-Whitney test, the control and experiment classes are significantly different, which supported the finding with a significant value of 0.041<0.05. It has been demonstrated that the model enhances students' academic performance.
IDENTIFIKASI PENYAKIT JANTUNG MENGGUNAKAN MACHINE LEARNING: STUDI KOMPARATIF Sintiya, Endah Septa; Rizdania, Rizdania; Afrah, Ashri Shabrina; Pramudhita, Agung
Jurnal Transformatika Vol 21, No 1 (2023): July 2023
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v21i2.6274

Abstract

Heart disease is the number one cause of death globally. This condition is followed by an unhealthy lifestyle. Heart disease prediction needs to be done considering the importance of health. The presence of machine learning has made it easier for humans to make early detection of patterns that are close to heart disease. Prediction of heart disease is important given the behavior of people who are still prone to risk factors. Conditions where predictions using machine learning for heart disease have not been compared with many using machine learning methods. Predictions of heart disease are needed along with the interrelationships of the variables. This research compares 6 machine learning methods for disease classification with KNN, Naïve Bayes, Decision tree, Random forest, logistic regression, and SVM. The final classification obtained ranking accuracy with the highest value of 82% in the KNN method with the confusion matrix test, precision, accuracy, re-call, and fi-score. These results can be applied to real case studies of heart disease
Identifikasi Penyakit Jantung Menggunakan Machine Learning: Studi Komparatif sintiya, endah septa; Rizdania, Rizdania; Afrah, Ashri Shabrina
Jurnal Transformatika Vol. 21 No. 2 (2024): Januari 2024
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v21i2.7144

Abstract

Heart disease is the number one cause of death globally. This condition is followed by an unhealthy lifestyle. Heart disease prediction needs to be done considering the importance of health. The presence of machine learning has made it easier for humans to make early detection of patterns approaching heart disease. This study compares 6 machine learning methods for disease classification with KNN, Naïve Bayes, Decision tree, Random forest, logistic regression, and SVM. The final classification obtained ranking accuracy with the highest value in the KNN method with precision, accuracy, re-call, fi-score tests. It is hoped that these results can be applied to real case studies of heart disease.
Analisis Komunikasi Platform Internet of Things Aplikasi Blynk Puji Utami Rakhmawati; Rizdania; Sumantri
Prosiding Seminar Nasional Teknoka Vol 9 (2024): Proceeding of TEKNOKA National Seminar - 9
Publisher : Fakultas Teknik, Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/teknoka.v9i1.17558

Abstract

The development of the Internet of Things (IoT) has led to the birth of various platforms that enable real-time management and control of devices. One of the prominent platforms is Blynk, an application that provides two-way communication between IoT devices and users through mobile applications. This study aims to analyse the communication mechanism in the Blynk application, including the protocols used, the efficiency of data transmission, and the level of security applied. Through this study, it is analysed how Blynk communicates with various microcontroller devices such as ESP32 and ESP8266 using TCP/IP, HTTP, and MQTT protocols. In addition, this study also evaluates the level of data encryption through SSL/TLS protocols to ensure communication security in an IoT environment. By conducting experiments on IoT devices connected through the Blynk network, this research found that Blynk is able to provide responsive and secure communication, with minimal bandwidth consumption.
Interns: Mentoring and Counseling on the Software Development Process Rizdania, Rizdania; Riono, Sapto Hadi; Rakhmawati, Puji Utami; Darmayanti, Rani
Jurnal Inovasi dan Pengembangan Hasil Pengabdian Masyarakat Vol. 1 No. 1 (2023): Jurnal Inovasi dan Pengembangan Hasil Pengabdian Masyarakat (June)
Publisher : CV. BImbingan Belajar Assyfa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61650/jip-dimas.v1i1.183

Abstract

The Digital Transformation Services Internship Program at PT Arkatama Multi Solusindo aims to provide opportunities for intern students to develop themselves through direct experience in real projects. With a comprehensive learning approach, interns are given the flexibility to choose positions according to their interests, such as UI/UX designer, Web Developer, and others. This program not only focuses on developing technical skills but also emphasises moral education and professional ethics. Intern students will be involved in prototyping and follow the development process from planning to implementation. The results of their work are documented through logbooks and final reports, building a valuable portfolio. The internship is carried out on-site according to health protocols at PT Arkatama Multi Solusindo, which focuses on digital transformation in various sectors. Services provided include application development, IT Training, and Digital Marketing Services.
A Quick Survey on the Application of Augmented Reality in Education Dermawi, Rizdania; Riono, Sapto Hadi; Hadiatulloh, Dimas Rega
Journal of Information Technology and Computer Science Vol. 9 No. 3: December 2024
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.93551

Abstract

Current conditions, especially the Covid-19 pandemic, force us to conduct online education. However, its implementation must be considered carefully to avoid becoming boring. The use of exciting technologies such as augmented reality can be an option. This scientific paper is a short review of the last ten years of studying AR technology in various fields of education. The evaluation of these previous studies shows that AR is a technology with great potential to be applied in education. However, the survey also demonstrates the limits of AR, which could be tended to in future research.
Co-Authors Afrah, Ashri Sabrina Alizunna, Defirra Ashri Shabrina Afrah Ayubi, Muhammad Nofa Burhan, M.Shochibul Endah Septa Sintiya Fitriyah, Rizqi Sofi Nur Frihandhika Permana Frihandhika Permana Hadiatulloh, Dimas Rega Henny May Indahsari Herman Tolle Ikawati, Deasy Sandhya Elya Izzati, Afifah Nurul Kusmiyati Muladi, Muhammad Nasikhul Muniroh, Amirotul Nasiruddin, Niswatun Khasanah Permana, Frihandhika Pramudhita, Agung Puji Utami Rakhmawati Rani Darmayanti Rasyidah Nur Aisyah Riskitasari, Septyana Sapto Hadi Riono Sherina Izzaty Sherina Izzaty Sintya, Endah Septa Sumantri Utaminingrum, Fitri Wayan Firdaus Mahmudy