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JIKUM: Jurnal Ilmu Komputer
Published by Lembaga Kajian Pembangunan Pertanian dan Lingkungan
ISSN : -     EISSN : 3090739X     DOI : https://doi.org/10.62671/jikum.v1i2
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
JIKUM: Jurnal Ilmu Komputer menerbitkan artikel dalam Bahasa Indonesia yang akan diterbitkan 2 kali setahun yaitu periode Mei dan Nopember. Penulis yang mengirimkan naskah pada JIKUM: Jurnal Ilmu Komputer harus mengikuti pedoman penulisan, fokus dan ruang lingkup jurnal, serta template jurnal. Apabila naskah yang dikirim tidak sesuai dengan ketentuan tersebut, maka artikel akan ditolak.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 69 Documents
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Analisis Mekanisme Pertahanan Sistem Operasi Terhadap Berbagai Variasi Virus Komputer Modern Habib Habsyi Al-Qudsyi; Syifa Ul Qalbi; Nur Amelia Sofiyani; Ahmat Fahri Matondang; Ariifah Yaasir Harahap; Vanes Jaya Sandria
JIKUM: Jurnal Ilmu Komputer Vol. 2 No. 2 (2026): JIKUM: Jurnal Ilmu Komputer, November 2026
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/jikum.v2i2.222

Abstract

Evolusi ancaman siber yang pesat telah mengubah virus komputer sederhana menjadi entitas yang sangat canggih, seperti malware polimorfik dan serangan tanpa file (fileless). Penelitian ini bertujuan untuk memberikan analisis mendalam mengenai mekanisme pertahanan internal pada sistem operasi (OS) modern. Metodologi penelitian melibatkan evaluasi teknis terhadap beberapa lapis perlindungan, termasuk integritas memori, keamanan berbasis virtualisasi, dan integrasi algoritma pembelajaran mesin untuk deteksi perilaku. Hasil penelitian menunjukkan bahwa meskipun deteksi berbasis tanda tangan (signature) tradisional mulai usang, kombinasi antara keamanan berbasis perangkat keras (TPM) dan analisis heuristik dinamis menawarkan perlindungan yang kokoh terhadap eksploitasi zero-day. Penelitian ini menyimpulkan bahwa sinergi antara isolasi tingkat kernel dan kecerdasan berbasis awan (cloud) sangat penting untuk menjaga integritas sistem di era ancaman yang terus berkembang secara persisten
Pengembangan Sistem Steganografi Berbasis Web Menggunakan Metode Least Significant Bit (LSB) Aiman Fawwaz; Alifmulya Rahman; Muhammad Akbar; Rahmad Hidayah Damanik
JIKUM: Jurnal Ilmu Komputer Vol. 2 No. 2 (2026): JIKUM: Jurnal Ilmu Komputer, November 2026
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/jikum.v2i2.223

Abstract

Concealing digital information within images has become increasingly important with the growing demand for data security in the digital era. This research develops a web-based steganography system using the Least Significant Bit (LSB) method to hide secret messages within digital images. The system is designed with a user-friendly web interface featuring two main functions: (1) "Hide Message" feature to embed secret messages into images and (2) "Extract Message" feature to extract hidden messages from stego-images. The implementation includes optional security features with password protection, enabling users to perform encoding and decoding processes without requiring specialized technical expertise. Modern web technologies are utilized to ensure accessibility, fast processing speed, and preservation of image quality after message embedding. System testing includes functionality evaluation, image quality analysis using Peak Signal-to-Noise Ratio (PSNR) and Mean Squared Error (MSE) metrics, and user experience testing. Research results demonstrate that the system successfully extracts messages with perfect accuracy ("yok kerja yok") while maintaining image visual quality. The system can be applied in secret communication applications, digital watermarking, and intellectual property protection. In conclusion, the development of this web-based steganography system provides a practical and accessible solution to protect digital information privacy through a user-friendly interface suitable for all user levels.
Implementasi Algoritma Least Significant Bit (LSB) untuk Penyembunyian Pesan Teks pada Media Citra Digital dan Audio Berbasis Python Zulfathan Akbar; Muhammad Nafis; Daniel El Hakim; Muhammad Ichsan Faqih
JIKUM: Jurnal Ilmu Komputer Vol. 2 No. 2 (2026): JIKUM: Jurnal Ilmu Komputer, November 2026
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/jikum.v2i2.225

Abstract

Information security is a crucial aspect of modern digital data exchange. Conventional security techniques, such as cryptography, often raise suspicion from third parties due to the production of unreadable encrypted data. Therefore, steganography techniques are required to conceal the very existence of secret messages within other media. This study aims to design and build a Python-based steganography application capable of embedding text messages into PNG digital images and WAV audio formats. The method employed is the Least Significant Bit (LSB), which works by manipulating the rightmost bit of image pixel data or audio samples. The application is built using the Tkinter library for the interface, alongside Pillow and Wave for media processing. Black Box testing results indicate that the application successfully performs message encoding and decoding processes accurately without compromising data integrity. Perceptually, both visually and auditorily, the resulting steganographic media suffer no significant quality degradation, making it effective in deceiving human senses and maintaining information confidentiality.
Uji penetrasi jaringan wireless dan IoT dengan tools open - source pada lingkungan virtual Hafiz Fadhillah; Faris An Nura; Langlang Soeltanul Aulia Aurelsosa; Teuku Farhan Damiri; Muhammad Subhan; Muhammad Zada Zayyan
JIKUM: Jurnal Ilmu Komputer Vol. 2 No. 2 (2026): JIKUM: Jurnal Ilmu Komputer, November 2026
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/jikum.v2i2.226

Abstract

Wireless network security and Internet of Things (IoT) device vulnerabilities have become critical issues in the digital era, especially with the growing reliance on smart devices in household, industrial, and urban environments. Many IoT devices and Wi-Fi networks currently in use remain susceptible to various attacks such as sniffing, spoofing, and brute-force, which can be exploited by malicious actors to steal sensitive information or gain unauthorized control of devices remotely. This study aims to conduct penetration testing on wireless systems and IoT devices within a safe and controlled virtual environment to identify potential security loopholes. The methodology involves setting up a virtual testbed using VirtualBox and the Kali Linux operating system, employing open-source tools such as Aircrack-ng, Nmap, Bettercap, and Wireshark. Attack simulations were carried out on wireless network configurations and virtual IoT devices under common scenarios such as credential theft, traffic surveillance, and denial-of-service (DoS) attempts. The test results indicate that several IoT devices remain highly vulnerable to basic attacks such as sniffing and brute-force login attempts, while wireless networks using WPA2 encryption are also exploitable under certain conditions. These findings highlight the urgent need to improve network security through stronger encryption standards, network segmentation, and device hardening. This study is expected to serve as a reference for developing open-source-based cybersecurity defense systems to protect IoT ecosystems from increasingly sophisticated threats.
Tinjauan Literatur: Evaluasi Metode Least Significant Bit (LSB) dalam Steganografi Berdasarkan Alasan Penggunaan dan Efektivitasnya terhadap Keamanan Data Digital Hadaya Imtiyaza Syarifa; Livia Febriati; Vannianti Nabilla Putri
JIKUM: Jurnal Ilmu Komputer Vol. 2 No. 2 (2026): JIKUM: Jurnal Ilmu Komputer, November 2026
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/jikum.v2i2.241

Abstract

The rapid development of information technology has facilitated the exchange of digital data, but it has also given rise to various threats to information security. Steganography is one technique used to hide confidential data, with the Least Significant Bit (LSB) method being the most widely used approach due to its simplicity. This article aims to evaluate the reasons for using the LSB method in steganography, its weaknesses, and its effectiveness in digital data security. This study uses the Systematic Literature Review (SLR) method by reviewing relevant scientific articles obtained through the Google Scholar database. The literature selection process was carried out systematically using the PRISMA protocol. The results of the study show that the LSB method is widely used because of its ease of implementation, processing speed, adequate insertion capacity, and ability to maintain the visual quality of the disguised image. However, this method has limitations, particularly low resistance to noise, lossy compression, image manipulation, and steganalysis attacks when used alone. Therefore, the LSB method is considered quite effective for visual concealment, but it needs to be combined with additional security techniques to improve digital data security.
Implementasi Analisis Data Akademik Menggunakan Teori Himpunan dan Algoritma Clustering Farid Deza Amin Nur Rasyid; Arlin Fajar Saragih; Muslim Gunawan; Syahrandy Fazra; Maryana
JIKUM: Jurnal Ilmu Komputer Vol. 2 No. 2 (2026): JIKUM: Jurnal Ilmu Komputer, November 2026
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/jikum.v2i2.315

Abstract

Processing academic data in large-scale higher education institutions requires a structural approach to facilitate analysis and decision-making. This study examines the application of Set Theory in discrete mathematics for grouping academic data of new students at Universitas Malikussaleh (UNIMAL) who passed the 2026 National Selection Based on Test (SNBT) and their eligibility status for the Kartu Indonesia Pintar Kuliah (KIP-K). The research method was conducted by representing student data as a universal set and grouping them based on faculty attributes, scientific fields, and KIP-K status. The analysis results show that Set Theory successfully models the academic data structure formally through the concepts of partition, intersection, and set difference. Out of a total of 2,917 students who passed the SNBT, 899 students (30.82%) were declared eligible for KIP-K. The Faculty of Teacher Training and Education (FKIP) recorded the highest ratio of KIP-K recipients (45.32%), while the Faculty of Medicine had the lowest ratio (13.88%). This modeling proves that set theory acts not only as a theoretical concept in discrete mathematics but also as a practical analytical instrument in academic information systems.
Implementasi Konsep Fungsi dalam Perancangan Basis Data Sederhana pada Sistem Informasi Akademik Muhammad Ulya Farhan Farhan; Maryana; Dio Tri Firnanda; Muhammad Rasyya Alfarisi; Muhammad Lukmanul Hakim
JIKUM: Jurnal Ilmu Komputer Vol. 2 No. 2 (2026): JIKUM: Jurnal Ilmu Komputer, November 2026
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/jikum.v2i2.318

Abstract

Good database design is the foundation of a reliable Academic Information System (SIAKAD). However, manydesigners work intuitively without a solid theoretical basis, making them prone to redundancy and operationalanomalies. This study examines the implementation of functions in discrete mathematics as a formal basis for SIAKADrelational database design.The method uses a literature review with a comparative conceptual analysis approach,including identifying SIAKAD entities, mapping function concepts to functional dependencies, analyzing functionaldependencies, normalization up to the third normal form (3NF), and modeling relational schemas.The results show adirect correspondence between mathematical functions and relational database elements: function domains relate toprimary keys, codomains to non-key attributes, injective functions to UNIQUE constraints, surjective functions toFOREIGN KEY coverage, and composite functions to transitive dependencies. Applying this mapping to the SIAKADcase study yielded four normalized relational schemas, Student, Course, Lecturer, and Grade, which are free fromredundancy and data anomalies. This research provides a systematic conceptual framework for database designers tointegrate discrete mathematics principles into the design process.
Analisis Penyebaran Informasi Hoaks pada Media Sosial di Era Digital Menggunakan Metode Systematic Literature Review Garwita Garwita Rasikha; Maulidayana Maulidayana; Intan Maulana Intan Maulana; Eva Riste Amelia Br Ginting Eva Riste Amelia Br Ginting; Maryana S.Si, M.Si Maryana S.Si, M.Si
JIKUM: Jurnal Ilmu Komputer Vol. 2 No. 2 (2026): JIKUM: Jurnal Ilmu Komputer, November 2026
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/jikum.v2i2.320

Abstract

The rapid development of social media has significantly changed how information is created, shared, and consumed by society. Alongside these advancements, the spread of misinformation and hoaxes has become a major challenge, affecting public trust, social stability, and decision-making. Hoaxes are intentionally fabricated or misleading information disseminated through digital platforms to manipulate public opinion or create confusion. This study aims to analyze the dissemination of hoax information on social media and identify effective prevention strategies through a Systematic Literature Review (SLR). Relevant scientific articles published between 2021 and 2025 were collected from reputable databases using predefined inclusion and exclusion criteria. The findings indicate that Facebook, WhatsApp, X (formerly Twitter), Instagram, and TikTok are the primary platforms for hoax dissemination. Factors influencing the rapid spread of hoaxes include low digital literacy, algorithm-driven content distribution, emotional user responses, and the ease of sharing information. Furthermore, machine learning, deep learning, and Natural Language Processing (NLP) have become the dominant approaches for automated hoax detection. Preventive efforts require collaboration among governments, digital platforms, educational institutions, and society through digital literacy programs, content verification mechanisms, and advanced detection technologies. This study provides a comprehensive overview of current research trends and offers recommendations for improving information integrity in digital environments.
Implementasi Konsep Fungsi Dalam Perancangan Basis Data Sederhana Pada Sistem Informasi Akademik Naura Hazirah; Musanna; Putri Nur Assyifa; Yusnidar; Maryana
JIKUM: Jurnal Ilmu Komputer Vol. 2 No. 2 (2026): JIKUM: Jurnal Ilmu Komputer, November 2026
Publisher : LEMBAGA KAJIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (LKPPL)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62671/jikum.v2i2.321

Abstract

Academic data management that is not designed with a good database structure often results in data duplication, inconsistency, and difficulties in system maintenance. This study aims to apply the concept of functions, specifically functional dependencies, in designing a simple database for an academic information system that includes data on students, lecturers, courses, study plan cards (KRS), and grades. The research method used is descriptive, with the stages of needs analysis, Entity Relationship Diagram (ERD) design, functional dependency analysis between attributes, normalization to third normal form (3NF), and implementation and testing in MySQL. The results show that the application of the function concept successfully identified six main functional dependencies that form the basis for the formation of five normalized tables: Students, Lecturers, Courses, KRS, and Grades. Query testing on the resulting database showed no data redundancy and all insertion, update, and deletion anomalies were avoided. This study concludes that the function concept is an important foundation in designing an efficient and consistent relational database in small to medium-scale academic information systems.

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