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PENERAPAN APLIKASI PENDATAAN JEMAAT GEREJA HKI RESORT KHUSUS LUBUK PAKAM R. Fanry Siahaan; Liskedame Yanti Sipayung; Yuda Perwira; Zanziqbar Alaydrus; Ikhwan Rafif Fadhil
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 6 No. 6 (2025): Vol. 6 No. 6 Tahun 2025
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v6i6.55238

Abstract

Pengelolaan data jemaat merupakan bagian penting dalam mendukung efektivitas pelayanan gereja. Namun, proses pendataan jemaat di Gereja HKI Resort Khusus Lubuk Pakam masih dilakukan secara manual sehingga berpotensi menimbulkan permasalahan seperti ketidakteraturan data, kesulitan pencarian informasi, dan risiko kehilangan data. Penelitian ini bertujuan untuk menerapkan aplikasi pendataan jemaat berbasis web guna meningkatkan efisiensi dan akurasi pengelolaan data jemaat. Metode yang digunakan adalah Research and Development (R&D) dengan tahapan analisis kebutuhan, perancangan sistem, pengembangan aplikasi, pengujian, serta implementasi dan evaluasi sistem. Hasil penelitian menunjukkan bahwa aplikasi yang dikembangkan mampu mengelola data jemaat secara terstruktur, mempermudah proses pencatatan dan pencarian data, serta mendukung penyusunan laporan administrasi gereja. Penerapan aplikasi ini memberikan dampak positif terhadap kinerja pengurus gereja dalam mengelola data jemaat secara efektif dan terintegrasi. Dengan demikian, aplikasi pendataan jemaat dapat menjadi solusi dalam mendukung transformasi digital administrasi gereja dan meningkatkan kualitas pelayanan kepada jemaat.
Analysis of Data Security Resilience in Text Steganography on Indonesian Language Structure R. Fanry Siahaan; Dedi Candro P. Sinaga; Zanziqbar Alaydrus; Ikhwan Rafif Fadhil
The IJICS (International Journal of Informatics and Computer Science) Vol. 9 No. 3 (2025): November
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v9i3.9487

Abstract

An in depth analysis of data security in text-based steganography is necessary to ensure the sustainability and security of the methodology used. The purpose of this study is to analyze the resilience of data security in text-based steganography. The analytical approach used involves identifying and assessing the vulnerabilities of text steganography methods using Indonesian sentence patterns. The initial stage of the research was to analyze previous works related to this field to understand previously identified vulnerabilities. The applied text embedding model is based on a dictionary consisting of 1,929 words grouped into seven word categories that correspond to sentence patterns in Indonesian, namely adj (adjective), adv (adverb), nom (noun), num (numeral), par (particle), pro (pronoun), and ver (verb). Each word class is arranged into a sentence structure and each has the same bit length, namely eight bits. The robustness analysis results show that single-word input data is still vulnerable to brute-force attacks or pattern analysis if the message embedding process uses a simple sentence structure. This is due to the relatively small search space, which makes it easier for attackers to guess the embedding pattern. Conversely, using sentence patterns consisting of more than two words significantly increases combinatorial complexity and expands the possibility space, making hacking attempts much more computationally difficult. Thus, the robustness of a steganographic system increases as the number of words in the sentence pattern increases, as the time and resources required to perform the attack become practically inefficient.