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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Edukasi dan Penelitian Informatika (JEPIN) SMATIKA JOIN (Jurnal Online Informatika) Jurnal Sisfokom (Sistem Informasi dan Komputer) JISKa (Jurnal Informatika Sunan Kalijaga) Khazanah Pendidikan Islam JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Computer Science and Information Technologies Online Learning in Educational Research Jurnal Abdimas Peradaban ISTEK
Yana Aditia Gerhana, Yana Aditia
Teknik Informatika Fakultas Sains dan Teknologi UIN Sunan Gunung Djati Bandung
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Library & Information Science Mathematics Social Sciences Other

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Journal : ISTEK

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Implementation of Rule-Base and Internet Methods of Things Optimizing Water Mangement For Improving Seed Quality Gerhana, Yana Aditia; Suparman, Deden
ISTEK Vol. 13 No. 1 (2024): Juni 2024
Publisher : Fakultas Sains dan Teknologi UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/istek.v13i1.930

Abstract

System hydroponics Nutrients Film Technique (NFT) is one of the increasingly popular plant cultivation techniques used because it can increase the efficiency of water and nutrient use as well as crop yields. The NFT Hydroponic System has problems that are often faced in the form of control that must be optimal for important parameters like pH, temperature water, And concentration nutrition, so that can influence plant health and growth and need a good environment controlled To avoid decline quality plant or withering plant. Study This design uses Arduino Uno as a center control system monitoring hydroponics NFTs Which in add sensors pH For read value from pH water, sensors TDS used For read density nutrition, sensors temperature DS18B20 used For read temperature water Because own waterproff and water sensor features flow to read the amount of water flow. Data is read by the sensor and Then sent to Firebase through module NodeMCU which has been connected to the Arduino Uno then from Firebase it is created output form information to the user through the application mobile. Results testing done with the use 3 media Which were different as much 60 time experienced 58 successes and 2 failures resulted in a score accuracy of 96.6% of the total testing.
Implementation of Convolutional Neural Network CNN Algorithm to Detect Coffe Fruit Maturity Gerhana, Yana Aditia; Heryanto, Rafi Rai; Syaripudin, Undang; Suparman, Deden
ISTEK Vol. 13 No. 2 (2024): Desember 2024
Publisher : Fakultas Sains dan Teknologi UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/istek.v13i2.1247

Abstract

Fruit ripeness detection is important in the agriculture and food processing industries to ensure optimal product quality. Proper fruit ripeness can affect flavour, texture and nutrition, making it a key focus in production process monitoring and control. The fruit ripeness detection process still needs to be done manually, which can be inefficient and inaccurate. This research aims to address these challenges by implementing the CNN algorithm with VGG-19 architecture to detect coffee fruit ripeness automatically. The process involves collecting datasets of fruit images with various ripeness levels, image pre-processing including cropping and resizing, training the CNN VGG-19 model with feature learning and hyperparameter optimisation and evaluating model performance using a confusion matrix. This experiment aims to evaluate the model's performance in detecting fruit ripeness and measure the speed and efficiency of the CNN-based detection system with VGG-19 architecture. The results of this research are expected to help develop a better system for identifying fruit ripeness.
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.
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 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, Muhammad Deden Heryanto, Rafi Rai Ichsan Taufik, Ichsan Khaerul Manaf Khaerunnisa, Rifa Kusuma Pradana, Galih Maylawati, Dian Sa'adillah Maylawati, Dian Sa’adillah Mintarsih, Mimin 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