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All Journal Jurnal Teknik Informatika (JUTIF) JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Polly, Yulianto Triwahyuadi
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Computer Science & IT

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STREAM CIPHER ALGORITHM FOR ENCRYPTING TEXT USING LOGISTIC MAP, AUTO PARAMETERS LINEAR CONGRUENTIAL GENERATOR (APLCG), AND GRAY CODE Fanggidae, Adriana; Polly, Yulianto Triwahyuadi; Sina, Derwin Rony; Letelay, Kornelis; Nabuasa, Yelly Yosiana; Boru, Meiton; Ledoh, Juan Rizky Mannuel
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 2 (2024): JUTIF Volume 5, Number 2, April 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.2.1535

Abstract

One aspect frequently posing a challenge in cryptography pertains to the length of the secret key that users must remember. Achieving the requisite key length for cryptographic algorithms necessitates key padding. However, it is crucial to note that key padding is susceptible to predictable patterns. Both the Linear Congruential Generator (LCG) and gray code are algorithms employed to generate sequences of padded key bits. Regrettably, LCG requires the determination of two pre-defined parameters, whereas the Auto Parameters Linear Congruential Generator (APLCG) automatically establishes these parameters. These parameters play a pivotal role in generating unique sequences of random integers. To fortify key security, the generation of new keys is performed using a modified logistic map, an enhancement of the standard logistic map that exhibits random behavior consistently. Stream cipher, an encryption algorithm, necessitates a continuous key stream matching the bit or byte length of the message. We conducted experiments on stream cipher algorithms employing key streams generated from APLCG, gray code, and modified logistic map. Twenty text documents were utilized as test samples. The outcomes indicate that stream ciphers employing APLCG, gray code, and modified logistic map demonstrate high-security performance based on the statistical analysis conducted.
Pemanfaatan Differential Evolution dalam Optimasi Kebutuhan Gizi Balita Gizi Kurang dan Buruk Dethan, Sinyo April; Fanggidae, Adriana; Ledoh, Juan Rizky Mannuel; Polly, Yulianto Triwahyuadi
Jurnal Teknik Informatika dan Sistem Informasi Vol 12 No 1 (2026): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v12i1.12788

Abstract

Abstract — Malnutrition in toddlers, particularly wasting and severe wasting, remains a significant challenge in Indonesia, particularly in the East Nusa Tenggara (NTT) province. This study aims to develop a daily food menu optimization system for wasted and severely wasted toddlers aged 12-59 months using the Differential Evolution (DE) algorithm. The system is designed to balance macronutrient (energy, protein, fat, carbohydrates, fiber) and micronutrient (calcium, iron, zinc, copper, phosphorus, vitamin C) needs. The utilized database consists of food items commonly found and easily accessible in NTT, categorized into staple foods, side dishes, vegetables, and fruits. The DE algorithm was implemented to generate optimal, varied, and affordable menu combinations. The results show that the DE algorithm successfully created balanced menu recommendations. The optimal configuration was achieved with a population size of 20 and 1,500 iterations, consistently producing valid menu solutions with efficient computation time. This system proves to be an effective tool for addressing toddler nutritional fulfillment by considering local food variety and affordability.
Co-Authors Boru, Meiton Derwin Rony Sina, Derwin Dethan, Sinyo April Fanggidae, Adriana Juan Rizky Mannuel Ledoh Kornelis Letelay Nabuasa, Yelly Yosiana