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Implementasi Algoritma Caesar Cipher untuk Enkripsi dan Dekripsi Pesan Siti Fadiyah Nabila; Maisyarah Maisyarah; Zahara Vonna; Salsabila Arifa Hasibuan; Silfia Rahmadani Sitorus; Aninda Evioni; Ibnu Rusydi
Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Vol. 4 No. 1 (2026): Januari : Polygon : Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/polygon.v4i1.925

Abstract

Information security is an essential aspect of digital communication, particularly in the exchange of text-based messages through open networks. Messages transmitted without protection are vulnerable to interception and unauthorized modification. One classical cryptographic technique that remains relevant as a foundational learning tool is the Caesar Cipher algorithm. This study aims to implement the Caesar Cipher algorithm for message encryption and decryption and to analyze its effectiveness and security level. The research method employed is a descriptive approach through literature review and a case study by applying character-shift techniques to text messages. The results indicate that the Caesar Cipher algorithm successfully transforms plaintext into ciphertext and restores it back to its original form through the decryption process. Although the algorithm is simple and easy to implement, it has significant limitations in terms of security due to its small key space and vulnerability to brute-force attacks. Therefore, Caesar Cipher is not suitable for protecting sensitive data but remains valuable as an introductory model for understanding basic cryptographic concepts.
Rancang Bangun Aplikasi Konversi Sekuens DNA ke Protein Silfia Rahmadani Sitorus; Salsabila Arifa Hasibuan; Zahara Vonna; Siti Fadiyah Nabila
Maksimal Jurnal : Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan Vol 3 No 4 (2026): April
Publisher : Maximal Journal : Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya dan Pendidikan

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini bertujuan untuk merancang dan membangun sebuah aplikasi konversi sekuens DNA ke protein sebagai alat bantu analisis bioinformatika. Perkembangan biologi molekuler menghasilkan data sekuens DNA dalam jumlah besar yang memerlukan pengolahan secara komputasi agar dapat dimanfaatkan secara optimal. Salah satu proses penting dalam analisis genetik adalah translasi sekuens DNA menjadi protein berdasarkan kode genetik. Metode penelitian yang digunakan adalah rekayasa perangkat lunak dengan tahapan studi literatur, analisis kebutuhan, perancangan sistem, implementasi algoritma translasi, serta pengujian aplikasi. Aplikasi yang dikembangkan mampu menerima input sekuens DNA, melakukan validasi data, menerjemahkan kodon menjadi asam amino, dan menampilkan hasil berupa sekuens protein secara sistematis. Hasil penelitian menunjukkan bahwa aplikasi dapat menjalankan fungsi konversi sekuens DNA ke protein sesuai dengan konsep biologis translasi genetik. Selain itu, aplikasi dirancang dengan antarmuka yang sederhana sehingga mudah digunakan oleh pengguna. Aplikasi ini diharapkan dapat dimanfaatkan sebagai media pembelajaran dan alat bantu penelitian dalam bidang biologi molekuler dan bioinformatika, khususnya dalam memahami hubungan antara DNA dan protein secara konseptual dan aplikatif.
Dampak Warna dan Tipografi terhadap Kenyamanan Pengguna dalam Desain Antarmuka Digital Rani Chantika; Pebi Mina Husania; Tengku Syahvina Rival Dini; Silfia Rahmadani Sitorus; Puji Sri Alhirani; M. Khalil Gibran
Jurnal Publikasi Ilmu Komputer dan Multimedia Vol. 4 No. 2 (2025): Mei: Jurnal Publikasi Ilmu Komputer dan Multimedia
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupikom.v4i2.4073

Abstract

Digital interface design plays a vital role in user interaction with software, especially through visual elements such as color and typography. This study was motivated by the need to understand how these visual elements affect user comfort while interacting with an application or website. The purpose of this study was to analyze user perceptions of the use of color and typography, and their impact on visual comfort. The method used was a descriptive quantitative approach by distributing online questionnaires to 20 respondents from various age groups. The collected data were analyzed descriptively by comparing preferences and comfort based on the age of the respondents. The results showed that the majority of respondents felt that color and typography greatly influenced the comfort of using digital interfaces. Dark background colors and sans-serif fonts with proportional sizes proved to be the most preferred choices because they provided reading comfort and reduced eye fatigue. A balanced combination of color and typography was also considered important to improve readability and the overall user experience. In conclusion, the selection and use of appropriate visual elements contribute greatly to creating a friendly and comfortable interface design for users of various age ranges.
Aplikasi Pengolahan Citra Mendeteksi Kualitas Tomat Berdasarkan Tingkat Kematangan Meggunakan Transformasi Warna YcbCr Salsabila Arifa Hasibuan; Zahara Vonna; Silfia Rahmadani Sitorus; Putri Kurni Wati; Siti Fadiyah Nabila
Jurnal Publikasi Ilmu Komputer dan Multimedia Vol. 4 No. 2 (2025): Mei: Jurnal Publikasi Ilmu Komputer dan Multimedia
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupikom.v4i2.4117

Abstract

This study develops an image processing application to automatically detect the ripeness level of tomatoes using the YCbCr color space transformation. This method is effective because it is able to separate the luminance and chrominance components, so it can identify color changes that indicate the ripeness level of tomatoes, namely unripe, semi-ripe, and ripe tomatoes. The application is designed with matlab and uses a GUI interface that makes it easy for users to upload and process images. Based on trials on image samples, the system is able to classify tomato ripeness with 100% accuracy on a limited test dataset. The classification process is based on three main parameters: the red area ratio, the average value of the Cr channel, and the average value of the Cb channel. The results of the study indicate that this approach can be used as a digital solution in the automatic and efficient tomato sorting process