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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Bisnis, Manajemen, dan Informatika Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Jurnal Restikom : Riset Teknik Informatika dan Komputer Indonesian Nursing Journal of Education and Clinic (Jurnal Pendidikan dan Praktik Keperawatan Indonesia)
Mira Suryani
Universitas Padjadjaran
Computer Science & IT Education Engineering Nursing

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The use of mobile-assisted virtual reality in fear of darkness therapy Erick Paulus; Mira Suryani; Puspita Adhi Kusuma Wijayanti; Firdaus Perdana Yusuf; Aulia Iskandarsyah
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 1: February 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i1.11614

Abstract

Fear of darkness is a common psychological problem that may extent to a specific phobia if it is not treated well. Several intervention techniques related to fear and phobia using actual exposure therapy have been studied for decades, however, there were some constraints emerged when the therapist provides a real environment to overcome the patient's reaction to his/her specific fear. Virtual reality (VR) technology is an innovative tool providing a more immersive, secure, personal, and controlled virtual environment. Therefore, we developed a novel framework for treating the fear of darkness named Mobile-assisted Virtual Reality (MAVR). The purpose of this study was to evaluate the use of MAVR to treat fear of darkness based on usability, time consumption and its ability to decrease fear. We used the GOMS model as an interaction guidance between human and computer which aimed to facilitate the process of re-learning in mindset change and individual’s behavioral toward situation of darkness and night. Therefore, a comprehensive evaluation was conducted to measure the efficacy of the MAVR. We developed the usability assessment checklist to assess the feasibility and acceptability of the MAVR, and fear of darkness thermometer to measure the degree of fear. The Wilcoxon Signed Rank Test showed that the fear of darkness was significantly decreased after participants received the MAVR therapy (z=-3.550, p-value<0.001). We found that the MAVR was very useful, easy to be used and acceptable for participants. In conclusion, this study highlights the efficacy of Mobile-assisted Virtual Reality in treating specific fear, and it seems that Virtual Reality technology has a promising benefit to be implemented for other fear or specific phobia and also used in other psychological treatment.
Prototipe Sistem Reservasi Daring Dokter Gigi di RSGM Berbasis User Centered Design Mira Suryani; Arinda Fathya; Dani Rizali Firman; Iwa Rahmat Sunaryo
JBMI (Jurnal Bisnis, Manajemen, dan Informatika) Vol. 17 No. 3 (2021): JBMI
Publisher : Department of Management FEB Unhas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26487/jbmi.v17i3.12924

Abstract

Kemudahan reservasi di fasilitas pelayanan kesehatan dapat berpengaruh terhadap tingkat kepuasan pasien. Sejalan dengan perkembangan teknnologi, saat ini masyarakat sudah sangat terbiasa menggunakan smartphone untuk berbagai aktivitas termasuk mengakses layana kesehatan. Berdasarkan situasi tersebut, dalam rangka upaya peningkatan kepuasan pasien di RSGM Universitas Padjadjaran, maka terdapat peluang untuk mengembangkan aplikasi reservasi daring. Pengembangan prototipe berbasis user centered design menjaga pengembangan untuk terus sesuai dengan kebutuhan target pengguna RSGM Universitas Padjadjaran. Berdasarkan hasil uji coba, prototipe yang dikembangkan memiliki tingkat usabilitas yang sangat baik terutama untuk aspek efektivitas serta efisiensi, respon waktu, kepuasan dan kemudahan dalam penggunaannya. Secara keseluruhan, prototipe ini memenuhi kualitas baik untuk digunakan dengan nilai rata-rata skala Likert 3,80 untuk tujuh aspek uji usabilitas
The Storyboard Development of Virtual Reality Simulation (VRS) of Nursing Care in Respiratory System Disorders Course Ryan Hara Permana; Mira Suryani; Dian Adiningsih; Erick Paulus
INDONESIAN NURSING JOURNAL OF EDUCATION AND CLINIC (INJEC) Vol 3, No 2 (2018): INJEC
Publisher : Asosiasi Institusi Pendidikan Ners Indonesia (AIPNI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (224.451 KB) | DOI: 10.24990/injec.v3i2.202

Abstract

Introduction :Practicingclinical nursing skills requires high fidelity learning methods but are often constrained by financial factors. Virtual Reality Simulation (VRS) is a practical learning method that is able to project visually the experience of practicing nursing care in a virtually real situation. VRS is financially affordable and portable, allowing students to learn whenever and wherever. This study focused on developing the storyboard of a VRS as a method of practicing nursing care skills in the case of acute respiratory system infection at Faculty of Nursing, Universitas Padjadjaran. Methods: This study utilized qualitative descriptive design.An expert group consists of a paediatric nurse, a senior paediatric nursing lecturer, an e-learning expert and two VR experts was working serially to develop the case and storyboard. The case development stage was conducted using a Focus Group Discussion (FGD) and the storyboard development stage used two workshop sessions. The NLN/Jeffries Simulation was used as a framework to develop the storyboard. Results: The learning objectives, scenes, actions, challenges and redirect elements were identified. The learning objectives is the most essential foundation in building a storyboard. Conclusion: The storyboard template allows subject matter experts to develop VRS that capable to train nursing care skills in a safe and immersive environment.
Machine Learning Prediction of Time Series Covid-19 Data in West Java, Indonesia Intan Nurma Yulita; Afrida Helen; Mira Suryani
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 12 No. 2 (2023)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v12i2.58505

Abstract

In 2019, the COVID-19 pandemic appeared. There have been several efforts to curb the spread of this virus. West Java, Indonesia, employs social restrictions to prevent the spread of this disease. However, this method destroyed the economy of the people. If no instances were detected in the region, the World Health Organization (WHO) authorized the social restrictions to be relaxed. If the government lifts the social limitation, the decision must also consider the potential of future confirmed instances. By utilizing machine learning, it is possible to forecast future data. This work utilized the following algorithms: linear regression (LR), locally weighted learning (LWL), multi-layer perceptron (MLP), radial basis function regression (RBF), and support vector machine (SVM). The study investigated daily new instances of COVID-19 in West Java, Indonesia, from March 2, 2020, to October 15, 2020. The RBF algorithm was the best in this investigation. Mean absolute error (MAE), root mean squared error (RMSE), mean absolute percentage error (MAPE), and relative absolute error (RAE) were 48.85, 89.73, 88.67, 62.99, and 60.88, respectively. The RBF prediction model may be proposed to the government of West Java for assessing data on COVID-19 instances, particularly in social restriction management. It is anticipated that West Java would have a minimum of 275 new cases every day for the following 30 days beginning on October 16, 2020. Consequently, the easing of societal limitations requires careful consideration.
Aplikasi Pengukuran Aktivitas Pengguna dalam Menjalankan Program Komputer menggunakan Eye Tracker Haris Putratama; Dhita Diana Dewi; Setiawan Hadi; Mira Suryani
Jurnal RESTIKOM : Riset Teknik Informatika dan Komputer Vol 5 No 3 (2023): Desember
Publisher : Program Studi Teknik Informatika Universitas Nusa Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52005/restikom.v5i3.163

Abstract

Seiring perkembangan teknologi informasi, muncul beberapa bidang-bidang baru, salah satunya bidang aktivitas pengguna. Aspek ini kian menjadi penting sebagai penentu dari sebuah aplikasi untuk dapat berkompetisi didalam pasar dikarenakan banyaknya aplikasi pesaing yang muncul. Gerakan mata seorang pengguna bisa menjawab berbagai pertanyaan krusial yang bisa memberikan informasi terhadap permasalahan aplikasi sampai tingkat efektivitas tampilannya. Oleh karena itu, untuk memenuhi kebutuhan tersebut, maka diciptakanlah aplikasi pengukuran aktivitas pengguna menggunakan eye tracker. Penelitian ini menggunakan metode Usability Testing (UT) kepada aplikasi lain yaitu IZI lalu menggunakan metode blob detection untuk mendeteksi blob. Menggunakan metode Hue, Saturation, Value (HSV), program dapat mendeteksi blob dengan baik. Program ini menggunakan parameter hue sebesar 0.80 dan 1.00 untuk mask1, 0.005 dan 0.15 untuk mask2, dan value sebesar 0,01 dan 0.98 lalu difilter menggunakan median filter. Blob yang terdeteksi diubah ke bentuk dataframe lalu diambil parameter centroid, area, dan solidity-nya. Centroid dari tiap blob dibandingkan dan diukur jaraknya menggunakan rumus Euclidean distance untuk mendapatkan tingkat similaritasnya. Dari hasil penelitian, didapat 13 dari 14 blob target telah terpenuhi. Dari hasil tersebut dianalisis dan disimpulkan bahwa aplikasi IZI telah efektif secara tampilan.
Co-Authors Afrida Helen Arinda Fathya Dani Rizali Firman Dhita Diana Dewi Dian Adiningsih Erick Paulus Firdaus Perdana Yusuf Haris Putratama Intan Nurma Yulita, Intan Nurma Iskandarsyah, Aulia Iwa Rahmat Sunaryo Puspita Adhi Kusuma Wijayanti Ryan Hara Permana Setiawan Hadi