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Design and Build Automatic Fan Control Based Internet of Things Septian, Refli; Achmad Fauzi; Milli Alfhi Syari
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 1 (2024): October 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i1.634

Abstract

This research aims to create and develop an automatic fan control system based on the Internet of Things (IoT) that can regulate the room temperature well. The NodeMCU ESP8266 serve as a microcontroller for this system. The DHT22 sensor detects temperature, the L298N Driver Motor controls the speed of the 12V DC fan, and the 16x2 LCD displays temperature information in realtime. When the room temperature exceeds the threshold, the fan will automatically turn on and off when the temperature returns to normal. The Blynk app also allows users to monitor and control fans through smartphones. It allows users to manually control the fan and monitor it remotely. The results of the study show that this system works well and improves user comfort by managing the room temperature. The system also offers high flexibility with IoT integration, allowing for further development for wider applications in home automation and energy management.
Improving the Quality of Digital Images on Identity Cards Using Contrast Stretching and Retinex Methods Salsabilla, Nur; Achmad Fauzi; I Gusti Prahmana
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 1 (2024): October 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i1.645

Abstract

Enhancing the image quality of the Indonesian Identity Card is crucial to ensure the clarity and accuracy of information in various applications, such as identity verification, administration, and security. This study aims to improve the digital image quality of Identity Card using the Contrast Stretching and Retinex methods. Contrast Stretching is employed to enhance image contrast, while the Retinex method is used to maintain and improve the clarity of colors and image details. The implementation of these methods is carried out using Python. The test results show that these methods are effective in improving the quality of Identity Card images, making the information on the images clearer and easier to read. This research contributes to the development of more advanced image processing technology, which can be applied to various verification and administrative needs that require high reliability.
Super Encryption Feal Algorithm and Base64 Algorithm Image File Security Br Bangun, Tiara; Achmad Fauzi; I Gusti Prahmana
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 1 (2024): October 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i1.647

Abstract

In the rapidly advancing digital era, image file security has become a critical issue, especially with the increasing risks of data breaches and attacks on digital files. This study aims to enhance the security of image files by implementing a combination of two cryptographic algorithms: Fast Data Encipherment Algorithm- 4 (FEAL-4) and Base64. FEAL-4 is a symmetric encryption algorithm known for its high speed and processing efficiency, while Base64 is used for encoding binary data into ASCII format to ensure safer transmission. This research develops a super encryption system that integrates these two algorithms to protect the integrity and confidentiality of image files, particularly for BMP, JPEG, and PNG formats. The implementation was carried out using the Visual Basic programming language. The results of the study show that the combination of FEAL-4 and Base64 algorithms significantly enhances the security of image files, with a high success rate in the encryption and decryption processes.
Super Encryption of Rabin Cryptosystem Algorithm and Paillier Cryptosystem Algorithm on Digital Image Security Process Ramanda, Dika; Achmad Fauzi; Pakpahan, Victor Maruli
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 1 (2024): October 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i1.659

Abstract

Technological advances have given rise to the need for data protection, especially digital images, which are vulnerable to misuse. This research proposes a super encryption method that combines two cryptographic algorithms, namely Rabin Cryptosystem and Paillier Cryptosystem, to increase digital image security. Rabin's algorithm does not have homomorphism, so it is vulnerable to factorization attacks if the prime numbers used are too small. Meanwhile, the Paillier algorithm has homomorphism properties which allow arithmetic operations to be carried out directly on the ciphertext without decryption. By combining these two algorithms, this research aims to create a stronger and more efficient encryption method, and analyze its performance in terms of computational efficiency and complexity. It is hoped that the research results can improve the security and privacy of digital data, especially in the context of digital images.
Digital Image Security Analysis using Hill Cipher and AES Algorithm Ranti, Dwi; Achmad Fauzi; Sitompul, Melda Pita Uli
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 1 (2024): October 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i1.665

Abstract

In today's digital era, digital image exchange has become very common in various industries, but this also increases security risks such as counterfeiting, image manipulation, and information theft. To protect the confidentiality of information in digital images, encryption is a fairly effective method. Hill Cipher, as a classic cryptographic method, offers matrix-based encryption, while Advanced Encryption Standard (AES) is known for its high level of security and efficiency. By combining Hill Cipher and AES, encryption systems can leverage the strengths of classic and modern cryptography together, providing an additional layer of protection that strengthens the security of digital data and reduces vulnerabilities that may exist in each method separately. This approach provides a more comprehensive solution for maintaining the confidentiality of digital images in the context of evolving security threats.
Diagnosa Penyakit Kanker Prostat menggunakan Metode Certainty Factor Nezha Febriyan; Achmad Fauzi; Victor Maruli Pakpahan
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 5 (2024): Oktober: Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v2i5.341

Abstract

The rapid development of information technology affects the way people access information, including in the health sector. Prostate cancer, as one of the most significant types of cancer in men, is often detected late due to lack of information and limited costs. To overcome this problem, a system is needed that is able to diagnose prostate cancer quickly, precisely, and accurately. This study aims to develop a web-based expert system using the Certainty Factor (CF) method to diagnose prostate cancer based on the symptoms that appear. The CF method was chosen because of its ability to determine the level of confidence in the facts or rules used in the diagnosis. This study uses data on symptoms and types of prostate cancer. The results of the study can help the public in recognizing prostate cancer symptoms early, with a high level of accuracy in diagnosis. This study is expected to make it easier for patients to make an early diagnosis and accelerate the treatment of prostate cancer.
SUPER ENKRIPSI DATA TEKS : KOMBINASI ALGORITMA AFFINE CIPHER, ELGAMAL, DAN RSA UNTUK PERLINDUNGAN OPTIMAL: Teknik Super Enkripsi pada Kriptografi Muhammad Al Kahfi; Mita Auva; Denny Prayuda Putra; Chintya Dwi Putri Br. Ginting; Achmad Fauzi
Jurnal Sistem Informasi Kaputama (JSIK) Vol. 9 No. 1 (2025): Volume 9, Nomor 1, Januari 2025
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jsik.v9i1.949

Abstract

Keamanan data telah menjadi perhatian utama, terutama untuk mencegah akses, manipulasi, dan pencurian data teks. Penelitian ini mengusulkan sebuah teknik enkripsi baru yang mengintegrasikan algoritma Affine Cipher, ElGamal, dan RSA. Pengakuan akan kekuatan masing-masing adalah dasar dari integrasi algoritma ini. Karena Affine Cipher mudah dioperasikan dan efisien pada tahap pertama proses enkripsi, maka algoritma ini dipilih. ElGamal dipilih untuk kriptografi kunci publik, yang terkenal untuk meningkatkan keamanan; RSA dipilih karena kemampuannya untuk menyediakan manajemen kunci yang aman dan melawan serangan brute force. Tiga fase adalah bagian dari metode enkripsi yang diusulkan. Affine Cipher mengenkripsi data teks terlebih dahulu; ElGamal meningkatkan keamanan kedua; dan yang terakhir, RSA meningkatkan perlindungan kunci. Penelitian ini berfokus pada investigasi kemanjuran dan kompleksitas keamanan algoritma. Penelitian ini diproyeksikan untuk memberikan solusi keamanan data teks yang dapat diterapkan untuk pemerintah, kesehatan, dan perbankan serta sektor lainnya.
PENERAPAN KOMBINASI ALGORITMA OTP DAN RSA PADA FILE GAMBAR Meliala, Evan Syahputra; Fira Dwi Yanti; Anggi Meliana Br Hutasoit; Sri Defriani Br Sembiring; Achmad Fauzi
Jurnal Sistem Informasi Kaputama (JSIK) Vol. 9 No. 1 (2025): Volume 9, Nomor 1, Januari 2025
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jsik.v9i1.955

Abstract

This study discusses the application of a combination of the One-Time Pad (OTP) and Rivest-Shamir-Adleman (RSA) algorithms to enhance data security in image files. The combination of these two algorithms offers higher security, with OTP used to encrypt image data with unique random keys, and RSA employed to securely encrypt the OTP key. This method leverages the strengths of each algorithm, namely OTP's mathematical security and RSA's key distribution capability. The results of the study indicate that this combination is effective in protecting image files from cryptographic threats, although challenges remain in terms of efficiency and compatibility with certain data formats. Keywords : Cryptography, OTP Algorithm, RSA Algorithm, Image file encryption, Data security, Hybrid encryption.
PENERAPAN SUPER ENKRIPSI HILL CIPHER DAN RSA UNTUK PENGAMANAN DATA FILE AUDIO MP3 Hakim, Azizhil; Zhya Anggraini; Dilla Sillfani; Renika Ayuni; Fauzi, Achmad
Jurnal Sistem Informasi Kaputama (JSIK) Vol. 9 No. 1 (2025): Volume 9, Nomor 1, Januari 2025
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jsik.v9i1.959

Abstract

Digital data security, especially audio files, is a major issue in the modern era, especially with the increasing risk of hacking and file tapping. To protect audio files such as MP3 format, this study suggests a combination of Hill Cipher and RSA algorithms for the Super Encryption method. Hill Cipher uses a linear matrix to encrypt data at high speed, while RSA uses a symmetric key created by Hill cipher to encrypt. The combination of these two algorithms produces a strong double layer of security to protect audio files. The layered encryption process uses Hill Cipher as the initial stage before using RSA for additional security. This super encryption is very good for maintaining data confidentiality. This study helps develop a digital data security system based on cryptography with a focus on audio files. This method can be used for various things, such as maintaining sensitive voice communications, maintaining important recordings, and creating applications based on audio data. However, further development can be done to improve the scalability and efficiency of this method, especially for large audio data files or data in the form of.
Penerapan Metode MOORA Dalam Pemilihan Produk Unggulan Daerah Pada Dinas Ketenagakerjaan dan Perindustrian Kota Binjai Indah Juliana; Achmad Fauzi; Hermansyah Sembiring
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 1 No. 2 (2022): September 2022
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v1i2.16

Abstract

MOORA method is a decision support system it is one that can perform calculations on attribute criteria that help decision makers to make the right decisions. Binjai City is an area that has several superior products. These products are superior and have characteristics and uniqueness that other regions do not have as well as reliable competitiveness and provide opportunities for employment opportunities for the surrounding community. To determine whether a product is included in the superior product category, this is determined by the Binjai City Manpower and Industry Office. There are several criteria that must be met, among others, labor, investment value, production capacity, production value, and BB/BP value. In this case the Department of Manpower and Industry of Binjai City finds it difficult to determine the superior product, this is because there are many criteria that must be considered. For this reason, a decision support system is needed that can help the Binjai City Manpower and Industry Office to determine regional superior products.
Co-Authors Ade Rahayu Ade Syahputri Ade Syahputri Adelia Ramadani Agung Kurniawan Agus Sapitri, Liana Aji Tyo Syahputra Andre Andre Anggi Meliana Br Hutasoit Arianta Bangun Arnes Sembiring Arnes Sembiring Asrul Reza Aulia Firliansyah AYUDEVIAPERTIWI Br Bangun, Tiara Buaton, Relita Budi Serasi Ginting Budi Serasi Ginting Chintya Dwi Putri Br. Ginting Cici Armayani Cristin Adelianan Br PA Deli Alvinda Denny Prayuda Putra Deny Jollyta Deri Kurniawan Dian Widodo Diki Kurniadi Diky Jaswa Dilla Sillfani Dimas Dimas Dimas EVAPIONA Fatmaira, Zira Feni Yasari Br Surbakti Fira Dwi Yanti Fitri Handayani GOESTI MESKANA PELAWI PELAWI Gultom, Imeldawaty Hakim, Azizhil Hermansyah Sembiring Hermansyah Sembiring Hermansyah Sembiring Hidayatullah Hidayatullah I Gusti Prahmana Ihsan Wibowo Zakti Iis Joice Susanti Marpaung Indah Juliana Irwansyah Jagi Munnawar Alhawari Khair, Husnul Lina Arliana Magdalena Simajuntak Mega Ayu Ningrum Melda Pita Uli Sitompul Meliala, Evan Syahputra Mili Alfhi Syari Mita Auva Muhammad Al Kahfi Muhammad Ali Imran Muhammad Fadillah Azmi N Novriyenni Nabil Fuadi Nezha Febriyan Novi Yunanda Putri Novriyenni - Nurhayati Pakpahan, Victor Maruli Pardede, Akim Manaor Hara Pasaribu, Tioria Rahayu, Rizka Putri Raja Imanda Hakim Nasution Ramadani, Suci Ramanda, Dika Rani Rianda Br Ginting Ranti, Dwi Renika Ayuni Riza Maria Ulfa Br Matondang Riza Maria Ulfa Br Mtd Rizka Putri Rahayu Rizka Putri Rahayu Rizka Putri Rahayu Rizki Oktavinus Tarigan Ruine Buana Br Sitepu Rusmin Saragih, Rusmin Safna Safitri Salsabilla, Nur Septian, Refli Sihombing, Anton Simanjuntak, Magdalena Siswahyudianto Siswan Syahputra Sri Defriani Br Sembiring Sri Melisa Sulisni Susilawati Susilawati Syari, Milli Alfhi Tania Br Surbakti Winda Sari Windy Maulianda Yani Maulita Yusfrizal Yusfrizal Yustika Septiani Muzahardin Yustika Septiani Muzahardin Zhya Anggraini Zidan Hafiz