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ADA Journal of Information System Research
Published by ADA Research Center
ISSN : -     EISSN : 30259568     DOI : -
Core Subject : Science,
Computer Science & IT
ADA Journal of Information System Research publishes manuscripts within the fields of: 1. Big Data, 2. Informatics Techniques, 3. Data Mining 4. Decision Support System, 5. Experts System, and 6. Cryptography 7. Information System
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
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Search results for , issue "Vol. 2 No. 2 (2025): February 2025" : 5 Documents clear
Sistem Pakar Mendiagnosa Penyakit Akibat Penggunaan Vape Menggunakan Metode Adaptive Neuro Inference System Sari, Raska Rezki Permata
ADA Journal of Information System Research Vol. 2 No. 2 (2025): February 2025
Publisher : ADA Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64366/adajisr.v2i2.74

Abstract

Vape is an electric cigarette that is widely used as a temporary escape for those who have a little difficulty in trying to quit smoking. Vape produces steam into the air which contains fine nicotine and other harmful substances, the nicotine contained in the vape will be absorbed by the body. The vapors that emerge from vape cigarettes are not water vapor, but they contain nicotine and other harmful substances that are clearly not good for health and can also pollute the air. Several studies have shown that chemicals in e-cigarettes can damage lung tissue and reduce the ability of lung cells to protect the lungs from germs and other harmful substances. ANFIS method is an adaptive system based on fuzzy logic inference that combines two methods, namely adaptive (neural metwork) and fuzzy methods. This adaptive network is used to adapt the fuzzy logic inference system to represent the desired fuzzy interference system. The principle of the working method is to combine two methods, namely the adaptive method and the fuzzy method where both use the same two sources of information, but the representation is different. The results of diagnosing vape-related diseases are lung infection, hypotension, and heart failure, but the disease that is often caused by vape is lung infection, with an expert system diagnosing vape-related diseases that make it easier to find out the effects of vape use.
Implementasi Algoritma Homogeneity Untuk Deteksi Tepi Pada Citra Pankromatik Hakim, Dedek Kumala
ADA Journal of Information System Research Vol. 2 No. 2 (2025): February 2025
Publisher : ADA Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64366/adajisr.v2i2.75

Abstract

Remote sensing with high-resolution panchromatic imagery plays an important role in spatial analysis such as regional mapping, spatial planning, and disaster mitigation. One important stage in image processing is edge detection, which serves to clarify the boundaries of objects such as buildings, roads, and rivers. Problems that often arise in panchromatic images are noise, contrast differences, and spatial data complexity, which cause traditional edge detection methods to be less than optimal. This study proposes the use of the Homogeneity algorithm as a solution due to its simplicity in gradient calculation. This algorithm works by comparing the intensity value of the central pixel to its eight neighbours in a 3x3 kernel, then selecting the maximum difference to determine the presence of edges. The results of implementation on a 5x5 sample image show that large difference values represent edges, while small values indicate homogeneous areas. Further application on a 500x500 pixel panchromatic image produces clear and contrasting edge visualisation, allowing for better recognition of surface object boundaries. This study proves that the Homogeneity algorithm is capable of extracting image edges quickly and effectively, and can be used as an efficient alternative to complex convolution methods for real-time remote sensing applications.
Perancangan Aplikasi Kompresi Citra dengan Algoritma Embedded Zero Tree Wavelet Dwi Suwandi
ADA Journal of Information System Research Vol. 2 No. 2 (2025): February 2025
Publisher : ADA Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64366/adajisr.v2i2.76

Abstract

The Embedded Zero-Tree Wavelet (EZW) algorithm is a wavelet-based image compression method that offers high-efficiency progressive encoding through the use of a zero-tree structure to represent insignificant wavelet coefficients. This study designs and implements an EZW-based image compression application to address the main problem of image compression, which is finding a balance between a high compression ratio and image reconstruction quality that is still acceptable to the human visual system. The research stages included literature study, algorithm and interface design, program code implementation, and testing using various test images. The results showed that the EZW algorithm was able to achieve a compression ratio of between 87.90% and 93.13%. The compression results showed a significant reduction in file size. For example, an image sized 2311 KB could be compressed to 191 KB, while maintaining good visual quality based on the Peak Signal-to-Noise Ratio (PSNR) and visual evaluation. Compared to conventional methods such as JPEG and Discrete Cosine Transform (DCT), EZW proved to be superior in bandwidth efficiency and artefact reduction in images with high compression rates. This study also identified a research gap in computational efficiency and power consumption when the algorithm is applied to real-time systems, thus requiring further development in hardware optimisation and quantisation stage modification. Thus, this study confirms that EZW-based image compression applications can be an effective solution for digital image storage and transmission needs in environments with limited bandwidth and storage capacity.
Penerapan Kriptografi untuk Pengamanan Data Nilai Siswa dengan Algoritma Super Enkripsi Jefry G G Saragih
ADA Journal of Information System Research Vol. 2 No. 2 (2025): February 2025
Publisher : ADA Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64366/adajisr.v2i2.78

Abstract

This study discusses the application of cryptography using the super-encryption method as a solution for securing student grade data at SMA Negeri 5 Medan, which still relies on manual systems and is therefore vulnerable to manipulation and data leakage. Super-encryption was chosen because it combines two cipher techniques to strengthen security, with the Vigenere Cipher algorithm employed as one of the methods for both encryption and decryption processes. The research stages include literature review, system requirements analysis, architecture and algorithm design, application implementation, testing, and result documentation. The encryption process successfully transformed the plaintext of student grades into ciphertext that is difficult for unauthorized parties to interpret, while the decryption process accurately restored the ciphertext to its original form using the same key. The testing results indicate that this method ensures the confidentiality and integrity of academic data while enhancing the security of multi-user information systems. Thus, this research emphasizes that implementing super-encryption in student grade management systems not only protects privacy and data authenticity but also serves as a strategic solution to address cybersecurity threats in the field of education.
Perancangan Sistem Pengelolaan Data Bantuan Masyarakat Miskin Berbasis Web Uli Natalia Sinaga
ADA Journal of Information System Research Vol. 2 No. 2 (2025): February 2025
Publisher : ADA Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64366/adajisr.v2i2.89

Abstract

Managing data on aid for the poor using a computerized system properly and correctly can provide data information quickly and transparently. Unoptimized data management can cause various problems and slow down the performance of officers. This study aims to design and build a data management application for aid for the poor in Papande Village, North Tapanuli Regency. To date, population data and data on aid recipients at the Papande Village office in North Tapanuli Regency are still inputted manually. The data collection methods used were observation, interviews, and literature review. The research methods used were analysis, design, coding, testing, and implementation. The design of the data management system for aid for the poor is modeled using UML (Unified Modeling Language), which consists of usecase diagrams, class diagrams, sequence diagrams, and activity diagrams. These four diagrams are used to illustrate the flow of creating and using the data management application for aid for the poor, which will serve as a reference for programmers in developing the aid data management application. The design of this application is expected to facilitate officers in obtaining aid recipient information.

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