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Yana Aditia Gerhana, Yana Aditia
Teknik Informatika Fakultas Sains dan Teknologi UIN Sunan Gunung Djati Bandung
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Rancangan Bangun Media Pembelajaran Berbasis Multimedia Interaktif Menggunakan Augmented Reality pada Pelajaran Komputer dan Jaringan Dasar di Sekolah SMA-IT Maroko Sidik, Dikdik Firman; Gerhana, Yana Aditia
Jurnal Abdimas Peradaban Vol. 4 No. 1 (2023): Jurnal Abdimas Peradaban
Publisher : Global Writing Academica Researching and Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54783/kmjhed82

Abstract

Media pembelajaran merupakan salah satu faktor penting dalam proses pembelajaran. Penggunaan media pembelajaran yang tepat dapat meningkatkan efektivitas dan efisiensi pembelajaran. Augmented reality (AR) merupakan salah satu teknologi yang dapat digunakan sebagai media pembelajaran. AR dapat menghadirkan objek virtual ke dalam dunia nyata, sehingga dapat memberikan pengalaman belajar yang lebih interaktif dan menarik. Penelitian ini bertujuan untuk merancang dan menerapkan media pembelajaran berbasis multimedia interaktif menggunakan AR pada mata pelajaran komputer dan jaringan dasar di sekolah SMA-IT Maroko. Media pembelajaran ini menggunakan model pembelajaran Auditory, Intellectually, and Repetition (AIR) untuk meningkatkan pemahaman siswa terhadap materi topologi jaringan. Media pembelajaran ini terdiri dari dua komponen utama, yaitu aplikasi AR dan materi pembelajaran. Aplikasi AR dibuat dengan menggunakan Unity 3D. Materi pembelajaran meliputi penjelasan teori dan contoh-contoh topologi jaringan. Hasil penelitian menunjukkan bahwa media pembelajaran berbasis multimedia interaktif menggunakan AR dapat meningkatkan pemahaman siswa terhadap materi topologi jaringan. Hal ini terlihat dari hasil uji Uji kevalidan dan uji keefektifan melibatkan 1 orang ahli materi, 1 orang ahli media dan siswa kelas X TIK yang dibagi menjadi kelompok kecil berjumlah 3 orang dan kelompok besar berjumlah 20 orang siswa. Instrumen menggunakan angket atau kuesioner. Pengambilan data respon siswa dilakukan pada 20 Agustus 2023 di Sekolah SMK-IT Maroko Cibalong. Hasil rata-rata uji kevalidan pada ahli materi yaitu 92%, hasil rata-rata uji kevalidan pada ahli media yaitu 92% dan, hasil rata-rata uji keefektifan pada siswa yaitu 94,88%.  
Implementasi Teknologi Blockchain dalam Pengembangan Aplikasi Web Terdesentralisasi untuk Pengelolaan Data Pos Pelayanan Terpadu: Studi Kasus: Posyandu Mawar Lingkungan Gibug Qomaruddin, Nurhadi; Gerhana, Yana Aditia; Taufik, Ichsan; Slamet, Cepy; Firdaus, Muhammad Deden
ISTEK Vol. 14 No. 1 (2025)
Publisher : Fakultas Sains dan Teknologi UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/istek.v14i1.2112

Abstract

The Integrated Service Post (Posyandu) is a community-based health service established by the government, playing an important role in monitoring child health, including efforts to reduce infant and child mortality rates. However, data management at Posyandu is generally still conducted manually using paper-based records, making it prone to data loss and inefficient in terms of access and tracking. One common approach to overcoming these challenges is the use of distributed data systems, which allow data storage and processing to occur across multiple computers in different locations. Nevertheless, many of these systems still rely on centralized servers, making them vulnerable to data breaches and manipulation due to the single point of storage. To address this issue, this research proposes the development of a decentralized web application based on blockchain technology as a solution for secure, transparent, and traceable data management. The application is developed using smart contracts written in Solidity, deployed on the Ethereum blockchain, with Hardhat as the backend framework and React.js as the user interface. The system was developed using a prototyping methodology and evaluated through black-box testing to assess its functional performance. Test results show that the application is capable of managing data effectively, while maintaining a high level of security and transparency. By adopting blockchain technology, the system enhances the effectiveness and efficiency of Posyandu’s data management, while ensuring data integrity and traceability within a decentralized environment.
Implementation of FAST Corner Detection and Natural Feature Tracking Algorithms on an Augmented Reality Application for Introducing Global Warming Kusuma Pradana, Galih; Gerhana, Yana Aditia; Subaeki, Beki
ISTEK Vol. 14 No. 1 (2025)
Publisher : Fakultas Sains dan Teknologi UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/istek.v14i1.2119

Abstract

Global warming is an increasingly alarming environmental issue, making early education essential. To enhance students' understanding of its causes, an educational application based on augmented reality (AR) technology was developed. This application employs FAST Corner Detection and Natural Feature Tracking algorithms to detect natural markers on real-world objects. Recognized markers trigger interactive 3D objects and audio narration explaining key global warming factors, such as the greenhouse effect, pollution, and deforestation. The testing process was conducted in two stages: alpha testing using the black-box method to validate functionality, and beta testing, which involved distributing questionnaires to teachers to measure the perceived effectiveness and satisfaction level with the application. The results indicate that the application functions correctly and, based on user feedback, shows significant potential as an engaging and interactive learning medium for introducing environmental issues to students.
Price Prediction of Second-Hand Iphones Using Random Forest Regression Based on Unit Conditions Anggayana, Denta Pratama; Taufik, Ichsan; Gerhana, Yana Aditia
ISTEK Vol. 14 No. 1 (2025)
Publisher : Fakultas Sains dan Teknologi UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/istek.v14i1.2154

Abstract

This study presents the development of a price prediction model for second-hand Iphones based on unit conditions using the Random Forest Regression algorithm, implemented in a web-based application. A dataset of 542 records was collected from Facebook Marketplace and iPhone trading groups, with variables including Iphone type, storage capacity, warranty status, Face ID, and Truetone. The research employed the CRISP-DM methodology through the stages of business understanding, data understanding, data preparation, modeling, evaluation, and deployment. The model was tested using data splits of 80%–20%, 70%–30%, and 60%–40%, resulting in MAE values of 8.32%–8.42% and RMSE values of 10.64%–10.88%, indicating good and consistent accuracy. The developed system can automatically provide price recommendations based on unit conditions, assisting both sellers and buyers in determining fair market prices.
Implementasi Teknologi Augmented Reality pada Buku Panduan Wudhu Berbasis Mobile Android Setiawan, Erwin; Syaripudin, Undang; Gerhana, Yana Aditia
JOIN (Jurnal Online Informatika) Vol 1 No 1 (2016)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v1i1.8

Abstract

Augmented Reality (AR) adalah teknologi interaktif yang mampu memproyeksikan objek maya ke dalam objek nyata secara real time. Perkembangan teknologi AR dewasa ini telah memberikan banyak kontribusi ke dalam berbagai bidang. Salah satu implementasi AR di bidang edukasi adalah AR Book. Buku merupakan salah satu media pembelajaran yang banyak digunakan. Selain itu, buku juga digunakan sebagai alat berkomunikasi oleh guru maupun orang tua terhadap anak-anak, misalkan seperti jenis buku panduan mengenai tatacara wudhu. Wudhu adalah suatu bentuk peribadatan kepada Allah Ta’ala dengan mencuci anggota tubuh tertentu dengan tata cara yang khusus. Wudhu khususnya diperintahkan sebelum melaksanakan ibadah shalat dan thawaf. Umat muslim harus mengetahui tatacara berwudhu yang benar. Salah satu sistem operasi yang digunakan pada mobile phone atau smartphone yaitu Android. Android adalah sebuah sistem operasi untuk perangkat mobile yang berbasis Linux dan bersifat open source. Dengan memanfaatkan media mobile untuk membangun aplikasi menggunakan teknologi augmented reality sebagai media pembelajaran, aplikasi AR berbasis mobile mempunyai keunggulan karena sifatnya yang mudah berpindah
Comparison of Template Matching Algorithm and Feature Extraction Algorithm in Sundanese Script Transliteration Application using Optical Character Recognition Gerhana, Yana Aditia; Atmadja, Aldy Rialdy; Padilah, Muhamad Farid
JOIN (Jurnal Online Informatika) Vol 5 No 1 (2020)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v5i1.580

Abstract

The phenomenon that occurs in the area of West Java Province is that the people do not preserve their culture, especially regional literature, namely Sundanese script, in this digital era there is research on Sundanese script combined with applications using Feature Extraction algorithm, but there is no comparison with other algorithms and cannot recognize Sundanese numbers. Therefore, to develop the research a Sundanese script application was made with the implementation of OCR (Optical Character Recognition) using the Template Matching algorithm and the Feature Extraction algorithm that was modified with the pre-processing stages including using luminosity and thresholding algorithms, from the two algorithms compared to the accuracy and time values the process of recognizing digital writing and handwriting, the results of testing digital writing algorithm Matching algorithm has a value of 87% word recognition accuracy with 236 ms processing time and 97.6% character recognition accuracy with 227 ms processing time, Feature Extraction has 98% word recognition accuracy with 73.6 ms processing time and 100% character recognition accuracy with 66 ms processing time, for handwriting recognition in feature extraction character recognition has 83% accuracy and 75% word recognition , while template matching in character recognition has an accuracy of 70% and word recognition has an accuracy of 66%.
Chatbot for Signaling Quranic Verses Science Using Support Vector Machine Algorithm Syaripudin, Undang; Suparman, Deden; Gerhana, Yana Aditia; Rahayu, Ayu Puji; Mintarsih, Mimin; Alawiyah, Rizka
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.v6i2.827

Abstract

The many verses in the Qur'an encourage finding the right way how to understand it thematically. The purpose of the research is to develop a chatbot application that can be used to explore and elaborate the content of verses in the Qur’an that hint at science. The support vector machine (SVM) algorithm classifies question and answers datasets in chatbot applications. The number of data sets used is 76, with test data as much as 10%. The test results show that the SVM algorithm is quite good in classifying, with an accuracy value of 87.5%. While the user test results obtained an average MOS of 8.4, which means the chatbot application developed is very effective in understanding the Qur'an, which implies science. This research is expected to provide an overview of the explanation of the Qur'an about science and technology.
Automatic Detection of Hijaiyah Letters Pronunciation using Convolutional Neural Network Algorithm Gerhana, Yana Aditia; Azis, Aaz Muhammad Hafidz; Ramdania, Diena Rauda; Dzulfikar, Wildan Budiawan; Atmadja, Aldy Rialdy; Suparman, Deden; Rahayu, Ayu Puji
JOIN (Jurnal Online Informatika) Vol 7 No 1 (2022)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v7i1.882

Abstract

Abstract— Speech recognition technology is used in learning to read letters in the Qur'an. This study aims to implement the CNN algorithm in recognizing the results of introducing the pronunciation of the hijaiyah letters. The pronunciation sound is extracted using the Mel-frequency cepstral coefficients (MFCC) model and then classified using a deep learning model with the CNN algorithm. This system was developed using the CRISP-DM model. Based on the results of testing 616 voice data of 28 hijaiyah letters, the best value was obtained for accuracy of 62.45%, precision of 75%, recall of 50% and f1-score of 58%.
Digital Image Processing Using YCbCr Colour Space and Neuro Fuzzy to Identify Pornography Subaeki, Beki; Gerhana, Yana Aditia; Rusyana, Meta Barokatul Karomah; Manaf, Khaerul
JOIN (Jurnal Online Informatika) Vol 8 No 1 (2023)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v8i1.1070

Abstract

Pornography is a severe problem in Indonesia, apart from drugs. This can be seen based on data from the Ministry of Communication and Informatics in 2021 which found 1.1 million pornographic content online. The increasing number of access to pornographic content sites on the internet can prove this. Several studies have been conducted to produce preventive formulas. However, this research flow has not been effective in solving the problem. This is because the results of the identification value in the output image obtained are not quite right. This study proposes a procedure for identifying pornographic content in digital images as an alternative approach for the early stages of a destructive content access prevention system. The formulation uses the YCbCr color space to analyze human skin on image objects that represent exposed body parts and the classification process with the Neuro Fuzzy approach. The performance of this formula was tested on 100 digital images of random categories of human objects (usually covered, skimpy, and naked) taken from the internet. The test results are at a relatively good level of accuracy, with a weight of 70% for the entire test data.
Deteksi Generatif Teks pada Penilaian Otomatis Tes Esai Berbahasa Indonesia Menggunakan IndoBERT Pitriani, Pitriani; Maylawati, Dian Sa’adillah; Gerhana, Yana Aditia
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 11, No 2 (2025): Volume 11 No 2
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v11i2.93221

Abstract

Hadirnya model generative artificial intelligence (GenAI) membawa tantangan baru dalam dunia pendidikan, khususnya terkait integritas. Salah satu isu yang mencuat adalah potensi penggunaan teks yang dihasil GenAI dalam jawaban pada proses penilaian pembelajaran peserta didik. Oleh karena itu, penelitian ini bertujuan untuk mendeteksi generatif teks hasil perangkat AI pada penilaian otomatis evaluasi pembelajaran dalam bentuk esai dengan bahasa Indonesia. Metode penelitian yang digunakan mengadaptasi model pre-trained Indonesia Bidirectional Encoder Representations from Transformers (IndoBERT). IndoBERT digunakan untuk deteksi generatif teks dengan AI melalui fine-tuning dan penilaian esai otomatis dengan representasi embedding dan cosine similarity dengan mempertimbangkan hasil deteksi GenAI. Hasil eksperimen menunjukkan fine-tuning pada model pre-trained IndoBERT berhasil mencapai akurasi sebesar 93.91% dengan nilai validation loss sebesar sebesar 0.1895. Sementara itu, pada tahap integrasi model deteksi teks GenAI ke dalam penilaian otomatis menunjukkan bahwa deteksi teks GenAI dapat mempengaruhi nilai akhir, khususnya pada jawaban yang memiliki similaritas tinggi dengan kunci jawaban namun terindikasi AI.
Co-Authors Agra, Agra Agung Wahana ALAWIYAH, RIZKA Aldy Rialdy Atmadja Anggayana, Denta Pratama Anwar, Muhammad Afian Arief Fatchul Huda Aulia, Salman Fauzan Fahri Ayu Puji Rahayu Azis, Aaz Muhammad Hafidz Beki Subaeki, Fatkhan Gunawan, Aldy Rialdy Atmadja, Beki Cecep Nurul Alam Cecep Nurul Alam, Cecep Nurul Cepy Slamet Dahriah, Iis Deden Suparman, Deden Devi Novitasari Dewi, Citra Deliana Dhanis Al Ghifari Diena Rauda Ramdania Dikdik Firman Sidik Dzulfikar, Wildan Budiawan Erwin Setiawan, Erwin Faiz M. Kaffah Firdaus, Imam Firdaus, Muhammad Deden Heryanto, Rafi Rai Ichsan Taufik, Ichsan Iskandar, Ibrahim Khaerul Manaf Khaerunnisa, Rifa Kusuma Pradana, Galih Maylawati, Dian Sa'adillah Maylawati, Dian Sa’adillah Mintarsih, Mimin Mohamad Irfan, Mohamad Muhammad Ali Ramdhani Muharam, Aldi Fahluzi Nur Lukman Nurlatifah, Eva Padilah, Muhamad Farid Pitriani, Pitriani Qomaruddin, Nurhadi Rahman, Titik Khawa Abdul Rusyana, Meta Barokatul Karomah Solehudin, Muhammad Alwy Somantri, E. Aris Taufik, Ichsan Undang Syaripudin, Undang