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APLIKASI EKPLORASI 3D DAN VISUALISASI OBJEK WISATA EDUKASI KEBUN JERUK SEBAGAI MEDIA PEMBELAJARAN BERBASIS ANDROID AUGMENTED REALITY Firman Milani; Rohman Dijaya; Metatia Intan Mauliana
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 8, No 3 (2023)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v8i3.4019

Abstract

Dari kayanya potensi yang ada, tidak luput dari suatu permasalahan yang selama ini dihadapi, yakni strategi dalam pengelolaan potensi yang ada, salah satunya potensi dalam mengembangkan kebun jeruk sebagai tempat wisata edukasi bagi masyarakat sehingga akan membantu perekonomian masyarakat desa jiken, memanfaatkan sebuah perkebunan jeruk sebagai media pembelajaran edukasi. Untuk penerapan teknologi ini akan dicoba membuat model sebuah Aplikasi ekplorasi objek pembelajaran kebun jeruk jiken. Pemahaman terhadap Augmented Reality juga membutuhkan piranti keras (hardware) dan piranti lunak yang dilakukan dalam membangun Augmented Reality. Visualisasi model 3D dengan teknologi Markerless Augmented Reality sangat baik jika digabungkan dengan Unity. Dari hasil pengamatan di area perke-bunan jeruk, peneliti berkeinginan untuk merancang sebuah aplikasi eksplorasi virtual dengan fitur first person view. Penggunaan nya dapat menambah pengalaman pengguna untuk melakukan eksplorasi. Penelitian ini menghasilkan keberhasilan simulasi pada ekplorasi kebun jeruk jiken pada smartphone Android. Selain kemudahan, sistem ini dapat meningkatkan rasa antusias dari para pengguna. Penelitian kedepan dari sistem ini adalah menambah jumlah model 3D yang ada sehingga informasi menjadi semakin lengkap. Selanjutnya memberikan fitur ekplorasi agar user dapat melakukan pengontrolan melalui tool joystick untuk interaksi sehingga memberi fasilitas menarik bagi para pengguna un-tuk aplikasi ini. Pada penelitian ini Bertujuan Untuk Mengembangkan Aplikasi Ekplorasi 3D dan Visualisasi Objek Wisata Edukasi Kebun Jeruk Berbasis Android Augmented Reality. Tempat Wisata 3 Dimesi Menggunakan Tool Blender dan Google Sketchup, yang divisualisasikan menggunakan teknologi Augmented Reality (AR). Aplikasi ini dikembangkan un-tuk membantu wisatawan untuk memberikan wawasan tentang area dan produk wisata kebun jeruk desa jiken.
PERANCANGAN APLIKASI AUGMENTED REALITY UNTUK VISUALISASI MODEL 3 DIMENSI DESIGN PACKAGING PRODUK M. Ryas Hakim; Rohman Dijaya; Suhendro Busono
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 8, No 3 (2023)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v8i3.4017

Abstract

Teknologi Visualisasi 3D adalah Teknologi yang memungkinkan membuat objek menjadi lebih nyata. Salah satu fungsi utama teknologi visualisasi 3D dalam pembuatan kemasan yang dapat memberikan gambaran yang sesuai dengan kebutuhan pengguna dengan menyediakan visualisasi yang akurat dan detail dari kemasan yang akan diproduksi. sehing-ga membantu dalam proses design, produksi, dan komunikasi yang lebih efisien dan efektif dalam pembuatan kemasan. Visualisasi model 3D dapat membantu dalam proses perencanaan dan pembuatan kemasan produk menjadi lebih baik. Dengan menggunakan software visualisasi 3D, Anda dapat dengan mudah mengetahui model kemasan yang sesuai dengan spesifikasi dan kebutuhan Anda. Software visualisasi 3D seperti SketchUp atau Blender dapat digunakan untuk membuat model kemasan dengan tingkat detail yang tinggi. Anda dapat mengetahui elemen seperti tekstur, bentuk, warna, dan informasi tambahan seperti ukuran dan bahan yang dibutuhkan. Augmented reality (AR) adalah teknologi yang memungkinkan pengguna untuk berinteraksi dengan objek virtual atau informasi di lingkungan dunia nyata. Ini melibat-kan overlay konten digital ke dunia fisik, menggunakan perangkat seperti smartphone atau tablet untuk menampilkan konten. Dalam konteks penelitian ini mengusulkan pengembangan aplikasi AR yang menampilkan model 3D design pada smartphone. Pada penelitian ini hasil dari penerapan Multimedia Development Life Cycle pada pembuatan aplikasi visual-isasi 3D dapat membantu terciptanya aplikasi pengenalan packaging produk sebagai media edukasi alternatif untuk mem-permudah pengguna belajar mengenai packaging produk pada kemasan makanan dan minuman. Aplikasi ini digunakan untuk memudahkan user mempelajari design packaging produk melalui model 3D yang disajikan pada Android dan dengan pembacaan markerless melalui kamera Smartphone.
Aplikasi untuk marketing mukena handmade berbasis augmented reality Dimas Ayu Putri Risky Nofa; Rohman Dijaya; Sumarno Sumarno
Jurnal Pendidikan Informatika dan Sains Vol. 12 No. 1 (2023): Jurnal Pendidikan Informatika dan Sains
Publisher : IKIP PGRI Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31571/saintek.v12i1.5396

Abstract

Mukena merupakan salah satu perlengkapan sholat wanita muslim. Seiring dengan adanya perkembangan zaman dan industry fashion yang semakin banyak pilihan model, motif dan fariasinya, maka diperlukan sebuah marketing yang mendukung. Salah satu cara untuk mendukung proses dari media marketing nya yaitu dengan menggunakan aplikasi Augmented Reality. Dengan menggunakan teknologi Augmented Reality, penelitian ini berupaya mendongkrak daya tarik produk mukena perusahaan kepada konsumen. Pendekatan yang digunakan dalam penelitian ini adalah pendekatan MDLC (Multimedia Development Life Cycle), yang memiliki enam tahapan: (1) Konsep; (2) Desain; (3) Pengumpulan Materi; (4) Implementasi; (5) Pengujian; dan (6) Distribusi. Aplikasi marketing berbasis Augmented Reality ini  dirancang dan dikembangkan dengan menggunakan Unity, Vuforia SDK, dan juga Marker Based Tracking. Cara menggunakan dari aplikasi ini yaitu dengan mengarahkan kamera ke arah gambar marker mukena yang telah disediakan dan akan menampilkan visualisasi bentuk objek 3D. Hasil kesimpulan dari penelitian ini yaitu terbentuknya media marketing mukena handmade menggunakan teknologi Augmented Reality.
Katalog Digital Bangunan Komersial Sebagai Media Promosi Berbasis Augmented Reality Rohman Dijaya; Dimas Radito Hibatullah Putra; Ade Eviyanti; Cindy Taurusta
Journal of Technology and System Information Vol. 1 No. 1 (2024): January
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/jtsi.v1i1.2143

Abstract

Many building promotion techniques use building miniatures, but this media is less interactive. Augmented reality is a technology that allows interaction between the real and virtual worlds. To assist promotional activities, it is necessary to develop commercial building promotional media using the application " Digital Catalog of Commercial Buildings Based on Augmented Reality as Promotional Media". Building objects are made in three dimensions and visualized through augmented reality technology. The purpose of developing this application is as a medium or tool to facilitate the communication process with customers. Application development uses the Multimedia Development Life Cycle method and has been successfully operated on several devices with the Android operating system. From the results of black-box and feasibility testing, the application gets good results and has a score of 913 out of 1000 or 91.3% percentage of eligibility.
Prediksi Penyakit Stroke Menggunakan Metode Random Forest Priyo Wahyu Setiyo Aji; S Suprianto; Rohman Dijaya
Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Vol 4, No 4 (2023): Edisi Oktober
Publisher : LPPM STIKOM Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/kesatria.v4i4.242

Abstract

Stroke is a medical condition classified under cerebrovascular diseases, which involve disruptions in the blood vessels of the brain. In a stroke, there is a blockage or rupture of brain blood vessels, leading to an interruption in the blood supply to specific brain regions. This can result in brain damage and symptoms related to brain functions, such as speech impairments, movements, and other functions. Nowadays, technology is advancing rapidly, greatly benefiting the medical community. One example is the development of artificial intelligence-powered programs for stroke detection. In this research, data was sourced from Kaggle.com, and the researchers utilized the random forest machine learning method. Random Forest combines independent decision trees originating from the same distribution, where the final prediction outcome is determined through a voting process. This research involved several stages, including preprocessing, processing, and evaluation. The research yielded an accuracy of 99%.
FACEMASK DETECTION USING YOLO V5 Lailatul Suroiyah; Yunianita Rahmawati; Rohman Dijaya
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 6 (2023): JUTIF Volume 4, Number 6, Desember 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.6.1043

Abstract

The use of facemasks is one of the obligations when carrying out activities outside the home during the COVID-19 pandemic, but despite the COVID-19 pandemic, the use facemasks is still needed. One of the supporting factors driving this is air pollution. The use of facemasks can reduce the risk of respiratory diseases, because it is important to use facemasks when carrying out activities in place with a high risk of air pollution such as industrial areas, this is done to maintain the safety of its users both in term of healh and comfort. So consistency is needed for users to use masks, through current technological developments detecting the use of masks is one of the right solutions to this problem. One of the mask detection methods used in this study is YOLO (You Only Look Once). YOLO is a method that detects objects using a single neural network consisting of several layers of convolution networks for image feature extraction, then prediction of bounding box coordinates is performed simultaneously. The YOLO v5 training model in this study was carried out with a combination of minimum values ​​on img, batch, and epoch resulting in a maximum F1 value and mAP@50 of 86%.
Otomasi Sistem Hidroponik DFT (Deep Flow Technique) Berbasis Arduino Android dengan Memanfaatkan Panel Surya sebagai Energi Alternatif Eko Agus Suprayitno MT; Rohman Dijaya M.Kom; M. Atho’illah ST
Elinvo (Electronics, Informatics, and Vocational Education) Vol 3, No 2 (2018): November 2018
Publisher : Department of Electronic and Informatic Engineering Education, Faculty of Engineering, UNY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (940.162 KB) | DOI: 10.21831/elinvo.v3i2.21161

Abstract

The application of hydroponic farming methods has been widely applied by the community, the system used is still manual so that it lacks quality, both in terms of humidity and growth. For that we need a system that is able to regulate the time of watering and the provision of nutritional solutions automatically without disturbing the activity. In the design of an automatic DFT hydroponic system using an Android Arduino based solar panel. Where the solar panel system functions as a renewable energy substitute for PLN which will fill the accumulator. The accumulator filling process is equipped with a solar charge controller module, which aims to avoid overcharging the accumulator. The process of watering and administering nutritional solutions is controlled by the Arduino UNO microcontroller which is integrated with the DS1307 RTC module, the HC-05 bluetooth serial communication module and the android smartphone application as the relay module to turn on and turn off the circulation pump according to a predetermined schedule. Test results and tool performance are in accordance with the plan, namely the efficiency of the use of solar panels. This is indicated by scheduling the circulation of the circulating pump for 1 hour from the estimated calculation of the maximum pump speed for 2.38 hours. In testing the transmission of data from bluetooth HC-05 connected to a bluetooth smartphone with unhindered conditions obtained a maximum distance of 15 meters and with a concrete wall obstruction a maximum distance of 5 meters, with plywood walls a maximum distance of 8 meters.
Application of Augmented Reality to Replicate Couples Sit in Wedding Ceremony Achmad Ariq Rivaldhi; Rohman Dijaya
JOIN (Jurnal Online Informatika) Vol 6 No 2 (2021)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In Indonesia, the bride and groom do pre-wedding photos like a tradition before marriage with couple sit in wedding ceremony. The splendor of the wedding ceremony made many vendors interested in running a wedding party business. These vendors provide services and goods related to wedding parties, such as wedding organizers, bridal, party decorations (couples sit in of wedding ceremony), as well as photo and video documentation. To give more virtual wedding nuance experience to customer, augmented reality was applied. This research develop application of augmented applying to replicate couples sit in of wedding ceremony. Augmented reality (AR) technology adopted to promote couples sit in of wedding ceremony. Moreover, combines wedding ceremony nuance and augmented reality make consumers who want to find 3D wedding background desired.
Interactive Digital Catalog for Canopy Workshop Using Augmented Reality Rohman Dijaya; Rizky Bayu Wardana; Suprianto Suprianto
JOIN (Jurnal Online Informatika) Vol 6 No 2 (2021)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v6i2.761

Abstract

This research study develops a product promotion method for a canopy roofs. The development of this method is to apply a 3-dimensional (3D) catalog using Augmented Reality (AR) technology. By utilizing Augmented Reality technology, sellers do not need to create markets or miniature products that are commonly used to provide examples to consumers to save costs, attract consumer interest, and display objects that appear natural. Based on the tests that have been done, it is concluded that implementing Augmented Reality in the canopy sales promotion media using the Luther development method with the stages of analysis, design, implementation, testing, and maintenance. Implementation of Augmented Reality in canopy sales promotion media uses concept data from the types of canopies included in the Augmented Reality-based application, namely stainless and hollow types made using a 3D blender program. A marker as a sign to bring up 3D objects in the application. Markers are created using Photoshop and entered the database so that they can be stored online. System testing uses the BlackBox testing method where the program's functionality is running as desired.
OPTIMASI PENERAPAN ALGORITMA CONVOLUTION NEURAL NETWORK DALAM KLASIFIKASI TINGKAT KESEGARAN DAGING SAPI Sahera, Charisa Nur; Rahmawati, Yunianita; Dijaya, Rohman
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 1 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i1.1122

Abstract

This research discusses optimizing the application of the Convolutional Neural Network (CNN) algorithm to overcome the problem of mixing fresh and non-fresh beef on the market. The focus of the research is classification of freshness levels in beef images using the CNN method with ADAM optimizer. Data collection involves open and private data. Image preprocessing is done with LabelEncoder and cv2. The research results show that this method is very effective in identifying and classifying the level of freshness in beef images. By determining optimal parameters, the model achieved the highest accuracy level of 98.50% at 10 epochs and a learning rate value of 0.001. Confusion matrix shows good results with a high number of True Positives. By applying CNN with the ADAM optimizer, it provides an effective solution to the problem of classifying beef freshness levels because this model is able to classify beef images well.
Co-Authors Abdillah, David Fahmi Achmad Alfi Fakhresi Achmad Ariq Rivaldhi Ade Eviyanti Ade Eviyanti Agung Novianto, Putra Agung Wijaya Agustin Nurfirmansyah Aini, Della Swastika Nur Ali Akbar Ambarwati , Rita Andika Aliviameita Anggi Fiolitta Ardhian Ramadhan Arif Senja Fitrani Bagus Dwi Yulianto Bakta , Nabila Ayu Budi, Bagus Setyo Busono, Suhendro Cholifah Darlis Herumurti Deni Sutaji Deni Sutaji Dian Delta Dimas Ayu Putri Risky Nofa Dimas Radito Hibatullah Putra Dina Trikumalasari Diva Putri Anasya Eka Fatra Arif Hidayatullah Eko Agus Suprayitno MT Erfina, Idha Maharani Erika Prastiyanti Evi Rinata Fatona Kholifatun Nisa' Febrian Endi Pranyoto Firdaus Margo Utomo Firman Milani Gracia, Aisyah Silvia Hamzah Setiawan Harunur Rosyid Hatuwe, Razif Zulvikar Idha Maharani Erfina Ika Ratna Indra Astutik Ilham Basri K Irwan Alnarus Kautsar Julianata, Akhsan Maula Khotiah, Titiek Kusuma, Selvia Ferdiana Lailatul Suroiyah lambang , Yanuangga Galahart Livia Nur Azzah M. Atho’illah ST M. Ryas Hakim Maudina Fatika Ningsih Mauliana, Metatia Intan Miftahul Mushlih Mochamad Alfan Rosid Mudji Astuti Muhammad Fachruddin, Muhammad Muhammad Iqbal Al Mulki Nanik Suciati Nanik Suciati Novia Ariyanti Nuril Lutvi Azizah Octavia, Elga Priyo Wahyu Setiyo Aji Puspitasari Puspitasari Putra, Riski Firmansyah Wilis Putri, Adelia Kharisma Qilmia Fanani Rahmawati, Indah Agustinah Ratri Enggar Pawening Retna Fetty Idamayanti Rhomadiniyah, Dewi Rina Safitri Rita Ambarwati Rizky Bagas Prasetyo, Achmad Rizky Bayu Wardana S Suprianto Sahera, Charisa Nur Sandi Wahyu Maulana Setiawan, Hamzah Shovi Firdaus Siska Aprilia Suhendro Busono Sumarno . Sumarno Sumarno Suprianto Suprianto Suprianto Suprianto Suprianto Suprianto Surur, Moch Shobachus Syahgita, Mico Hari Tasya Gusti Amalia Taurusta, Cindy Uce Indahyanti Umami, Nur Reza Umi Khoirun Nisak Wahyu Nur Islamudin Wahyu Setia Bintara Wardani, Dwi Sukma Yansah, Muhammad Kahfi Yulian Findawati Yunianita Rahmawati Yunianita Rahmawati, Yunianita Yunita Setiyaningsih Yusuf Raharja Yuwanto, Mahmud Adi