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Program Studi Teknik Informatika, Jl. Raya Puspitek No. 46 Buaran, Serpong, Tangerang Selatan, Banten, Indonesia
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Journal of Artificial Intelligence and Innovative Applications (JOAIIA)
Published by Universitas Pamulang
ISSN : 27161501     EISSN : 27754057     DOI : -
Core Subject : Science,
Computer Science & IT
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 3 Documents
 1 
Search results for , issue "Vol. 7 No. 1 (2026): February" : 3 Documents clear
Implementasi Metode Advanced Encryption Standard (Aes) dalam Mengamankan Data File Soal Ujian SMK Media Informatika Berbasis Web Nur Utami, Mega; Bani
Journal of Artificial Intelligence and Innovative Applications (JOAIIA) Vol. 7 No. 1 (2026): February
Publisher : Teknik Informatika Universitas Pamulang

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Abstract

The rapid development of information and communication technology has brought significant impacts, both positive and negative. One of the main challenges is data security. Organizations, educational institutions, and companies face high risks of data interception and information leaks that threaten privacy and system integrity. Although storing student exam files in softcopy form offers efficiency, weaknesses in security still pose risks of cyber-attacks such as hacking, malware, and data theft. In this context, SMK Media Informatika Jakarta places a high emphasis on the security of exam data, which is sensitive and must not be accessed before the exam schedule. Storage without adequate protection can lead to significant damage. Therefore, advanced digital security strategies are necessary. One recommended solution is the use of cryptography, specifically the Advanced Encryption Standard (AES) method. Cryptography secures data by encrypting files, making them accessible only to authorized parties. This study proposes the implementation of the AES method to secure web-based exam files at SMK Media Informatika Jakarta, providing an additional layer of protection and ensuring that sensitive information remains safe from unauthorized access, while also allowing secure and controlled access for authorized users.
Implementasi Sistem Pakar untuk Menentukan Status Gizi Balita Menggunakan Metode CBR Berbasis Website Rahmi, Najmi; i Made Sugi Ardana
Journal of Artificial Intelligence and Innovative Applications (JOAIIA) Vol. 7 No. 1 (2026): February
Publisher : Teknik Informatika Universitas Pamulang

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Abstract

Studi ini berfokus pada pembangunan sistem pakar berbasis web sebagai alat bantu bagi orang tua maupun pengasuh untuk mendeteksi status gizi balita secara mandiri dan efisien. Metode yang diterapkan adalah Case-Based Reasoning (CBR). Mekanisme sistem berjalan dengan cara melakukan komparasi antara gejala pada kasus baru terhadap basis data kasus lama. Proses ini melibatkan perhitungan tingkat kemiripan (similarity) yang mengacu pada pembobotan gejala sesuai pedoman Kementerian Kesehatan serta validasi pakar di Puskesmas XYZ. Pengembangan sistem menggunakan model Expert System Development Life Cycle (ESDLC), dan diimplementasikan dengan PHP, MySQL, serta XAMPP sebagai server lokal. Hasil pengujian menggunakan Black Box Testing dan User Response menunjukkan bahwa seluruh fitur sistem berfungsi dengan baik mulai dari input gejala, proses perhitungan, hingga penentuan status gizi, dan menunjukkan bahwa sistem dinilai mudah dipahami, informatif, dan memberikan rekomendasi yang sesuai. Dengan demikian, sistem pakar ini dapat menjadi alat bantu awal yang efektif bagi masyarakat dalam mendeteksi kondisi gizi balita serta mendukung upaya peningkatan kesehatan anak.
Penerapan Metode Fuzzy Logic dalam Estimasi Waktu Produksi Konveksi Kaos Massal Azzahra Nur Oktavia; Dimas Abisono Punkastyo
Journal of Artificial Intelligence and Innovative Applications (JOAIIA) Vol. 7 No. 1 (2026): February
Publisher : Teknik Informatika Universitas Pamulang

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Abstract

The process of estimating production time in the garment manufacturing industry is generally performed manually and relies on experience, making it subjective and often causing discrepancies between estimated and actual completion times. This study aims to design and develop a web-based production time estimation system by applying the Fuzzy Logic Mamdani method to provide more objective and measurable estimates. The system processes production variables such as the number of products, design complexity, number of workers, and number of design sides using the Mamdani fuzzy inference mechanism to obtain estimated production times. System testing was conducted using Black Box Testing to ensure all features function according to specifications, and accuracy evaluation was performed using Mean Absolute Percentage Error (MAPE). The results show that the system can provide production time estimates with an average MAPE of 6.73%, categorizing it as highly accurate and suitable for supporting decision-making. Therefore, this web-based system proves to assist garment manufacturers in calculating production time quickly, objectively, and accurately.

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