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Modem : Jurnal Informatika dan Sains Teknologi
Published by Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia
ISSN : 30467217     EISSN : 30467209     DOI : 10.62951
Core Subject : Science,
Computer Science & IT
Modem : Jurnal Informatika dan Sains Teknologi memuat hasil-hasil penelitian di bidang Ilmu Informatika dan Teknologi
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 90 Documents
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Optimasi Steganografi Video Berbasis LSB Multi-Bit dengan Penentuan Posisi dan Jumlah Bit Adaptif Berdasarkan Analisis Kecerahan dan Tekstur Frame Sarah Triana; Fiky Anggara; Agata Febrianti Nadia Sa'o; Lolintiani Evarista Lobatuka; Sarmila Sarmila
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 4 No. 1 (2026): Januari : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v4i1.725

Abstract

Steganography is a method to hide confidential messages in digital media so that they are not detected by unauthorized parties. Unlike cryptography which protects the content of messages through encryption, steganography hides the message itself. One popular technique is the Least Significant Bit (LSB), which replaces the least important bit on the pixel with a secret message bit. However, conventional LSB methods such as 1-bit or 3-bit have limitations due to the compromise between insertion capacity and visual quality of the media. This study proposes an LSB-based video steganography method with an adaptive multi-bit embedding approach. This technique determines the number and position of bits that are dynamically inserted based on the local brightness and texture levels of each video frame, with Laplacian operators used to analyze both high and low textured areas. The process includes frame and audio extraction, frame-by-frame embedding, inserted video reconstruction, and decoding using video cover references. The evaluation was carried out quantitatively using the Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index (SSIM) metrics, as well as qualitatively through visual comparison. The results showed that the adaptive multi-bit method was able to maintain visual quality with a PSNR of 45.23 dB and SSIM of 0.9424, and increased the insertion capacity by up to 2–3 times compared to the 1-bit adaptive method. Thus, this approach effectively balances imperceptibility and insertion capacity on dynamic video steganography systems.  
Steganografi Video Adaptif Berbasis Multi-Bit LSB dengan Analisis Kecerahan, Tekstur, dan Gerakan Frame serta Robustness terhadap Kompresi dan Noise Magfirotul Izza Intan Dwiyanti; Anggara, Fiky; Maulida Putri, Nur; Adelia Putri, Nadiva; Putri Supiandari, Aprielliana
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 4 No. 1 (2026): Januari : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v4i1.726

Abstract

Steganography is a technique for hiding secret data within digital media such as images, audio, and video without causing noticeable visual changes. In video media, this technique offers advantages because each frame can be utilized dynamically, resulting in a larger data embedding capacity. However, conventional methods such as fixed-number Least Significant Bit (LSB) embedding still face limitations in balancing visual quality, embedding capacity, and resistance to compression or noise. To address these challenges, this study proposes an Adaptive Video Steganography Method based on Multi-Bit LSB that employs brightness, texture, and motion analysis for each frame to determine the number of embedding bits adaptively. The system adjusts the embedding capacity according to the local characteristics of the video: areas with high texture or rapid motion are assigned more bits, while static or low-texture areas use fewer bits to preserve visual quality. After the embedding process, the video quality is evaluated using PSNR (Peak Signal-to-Noise Ratio) and SSIM (Structural Similarity Index Measurement) to assess its similarity to the original video. Experimental results show a PSNR value of 45.86 dB and an SSIM value of 0.9441, Thus, the proposed adaptive method proves to be efficient, robust against disturbances, and capable of maintaining data security without compromising visual quality, making it highly suitable for implementation in multimedia-based information security systems.
Steganografi Video Adaptif Multi-Bit dengan Penentuan Posisi, Jumlah Bit, dan Intensitas Embedding Berdasarkan Analisis Kecerahan, Tekstur, dan Gerakan Frame Annida Akmalia Anddini; Fiky Anggara; Aqhlia Nur Fahma; Nur Diva Riski Irvan; Aufa Nabith Fadlu Ramanda
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 4 No. 1 (2026): Januari : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v4i1.731

Abstract

This research aims to enhance the imperceptibility of secret messages in video steganography to prevent detection by third parties. Unlike cryptography, which focuses on securing the message content, this method seeks to conceal the very existence of the message by maintaining a visual quality nearly identical to the original video. The proposed approach utilizes an adaptive multi-bit scheme based on the Least Significant Bit (LSB) technique, which intelligently analyzes the local characteristics of each frame, including brightness, texture, and motion. This strategy allows for higher data insertion in areas with high visual tolerance while limiting bits in sensitive areas to prevent distortion. Evaluation results using PSNR and SSIM metrics indicate that while increasing message capacity (from 1-bit to 3-bit) reduces the PSNR from 51.80 dB to 39.44 dB, the method remains highly effective in preserving visual integrity. Overall, this technique proves to be more secure and superior to traditional LSB in balancing storage capacity with high-quality video output.
Optimasi Steganografi Video Berbasis LSB Multi-Faktor dengan Penyesuaian Bit Adaptif Berdasarkan Kecerahan, Tekstur, dan Stabilitas Gerakan Antar-Frame Muhammad Agus Septiawan; Fiky Anggara; Zidan Alvie Nugroho; Zaldy Irhas Addiyat
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 4 No. 1 (2026): Januari : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v4i1.738

Abstract

Video steganography faces fundamental challenges in balancing embedding capacity, imperceptibility, and robustness, where conventional Least Significant Bit (LSB) methods often produce visual artifacts such as flickering. To address this, this research proposes an advanced method named Adaptive Multi-layer LSB, which dynamically adjusts the number of embedded bits in each pixel based on a multi-factor analysis of the video's spatial and temporal characteristics. This adaptation mechanism is evaluated through three primary criteria: brightness level, local texture complexity, and inter-frame motion stability. Quantitative evaluation using Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), and Frame Difference Stability Index (FDSI) metrics demonstrates that the proposed method achieves high visual quality, with an average PSNR of 42.15 dB and SSIM of 0.985. These results significantly outperform the non-adaptive approach, which only recorded a PSNR of 38.5 dB. More importantly, the FDSI value of this method (1.25) is much lower compared to the non-adaptive approach (3.40), demonstrating its superiority in maintaining temporal stability. Thus, this approach provides a significant contribution to enhancing security and quality in video steganography practices. Abstract: Video steganography faces fundamental challenges in balancing embedding capacity, imperceptibility, and robustness, where conventional Least Significant Bit (LSB) methods often produce visual artifacts such as flickering. To address this, this research proposes an advanced method named Adaptive Multi-layer LSB, which dynamically adjusts the number of embedded bits in each pixel based on a multi-factor analysis of the video's spatial and temporal characteristics. This adaptation mechanism is evaluated through three primary criteria: brightness level, local texture complexity, and inter-frame motion stability. Quantitative evaluation using Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), and Frame Difference Stability Index (FDSI) metrics demonstrates that the proposed method achieves high visual quality, with an average PSNR of 42.15 dB and SSIM of 0.985. These results significantly outperform the non-adaptive approach, which only recorded a PSNR of 38.5 dB. More importantly, the FDSI value of this method (1.25) is much lower compared to the non-adaptive approach (3.40), demonstrating its superiority in maintaining temporal stability. Thus, this approach provides a significant contribution to enhancing security and quality in video steganography practices.
Hubungan Antara Kesadaran Privasi dan Perilaku Aman Mahasiswa di Media Sosial Harry Zulkifli
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 4 No. 1 (2026): Januari : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v4i1.742

Abstract

The development of social media has encouraged students to be more active in interacting, sharing information, and establishing relationships online. However, the high intensity of social media use also increases the risk of personal data leakage. This literature study aims to examine the relationship between privacy awareness and students' safe behavior in social media use. The research was conducted by examining various sources, including scientific journals, articles, research reports, books, and online references relevant to digital security issues. The results of the study show that privacy awareness has a significant role in shaping students' safe behavior. This awareness is reflected through the practice of using strong passwords, the implementation of two-factor authentication, and prudence in sharing personal information in the digital space. Although knowledge about digital threats is quite adequate, students' safe behavior is still influenced by the level of internalization of privacy awareness. Therefore, increasing privacy awareness requires not only information, but also educational strategies that emphasize the formation of consistent digital attitudes and habits. This study makes an important contribution to understanding the relationship between privacy awareness and safe behavior, as well as being the basis for the development of more effective digital literacy programs among students.
Analisis Pola Asosiasi Kompetensi Teknis pada Lowongan Kerja Artificial Intelligence Menggunakan Algoritma Apriori dan Visualisasi Network Graph Noor Latifah; Mahavita Nabila Syahputri
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 4 No. 1 (2026): Januari : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v4i1.747

Abstract

The gap between academic curriculum content and modern industrial needs is often an obstacle for fresh graduates in the Information Technology field, particularly in the rapidly evolving Artificial Intelligence (AI) sector. This study aims to identify the relationship patterns among technical competencies (hard skills) most demanded by the global industry. The method employed is Association Rule Mining with the Apriori algorithm to discover association rules between skills, and Network Graph Analysis to visualize the topological map of these competencies. The research dataset covers 15,000 AI job vacancies from the 2024-2025 period, analyzed in depth using Support, Confidence, and Lift Ratio evaluation parameters to validate the strength of relationships between items. The results show that Python is the central competency with the highest frequency of occurrence. Strong association rules were found indicating that proficiency in TensorFlow has a high probability of requiring Python proficiency. The Network Graph visualization reveals three main competency clusters: Data Engineering Ecosystem, Deep Learning, and Infrastructure. These findings offer a strategic foundation for aligning curricula with the job market. Focusing on strengthening the identified competency clusters is expected to directly enhance the relevance and work readiness of graduates.
Analisis Risiko Tsunami Berbasis GIS dan Kondisi Eksisting Pantai untuk Mitigasi Bencana di Kota Banda Aceh Laela Rustiani; Bambang Agus Herlambang; Ahmad Khoirul Anam
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 4 No. 1 (2026): Januari : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v4i1.754

Abstract

Banda Aceh City has high vulnerability to tsunamis due to its coastal location directly facing the sea and being situated in an active tectonic zone. This study evaluates the spatial distribution of tsunami risk and assesses coastal conditions as disaster mitigation efforts using a mixed-method approach that combines quantitative analysis based on Geographic Information Systems (GIS) and qualitative analysis through field surveys and expert assessments. Three beaches were selected as study locations: Ulee Lheue Beach, Syiah Kuala Beach, and Alue Naga Beach, with risk assessment calculated using the formula Risk = (H × V) / C according to the BNPB framework and overlay techniques in GIS to create risk distribution maps. Coastal condition evaluation focused on coastal vegetation and protective coastal structures assessed using an ordinal scale of 1–5. Results show that Ulee Lheue Beach has the highest mitigation capacity with a score of 64.5% (good category), Syiah Kuala Beach reaches 57.5% (fairly good), while Alue Naga Beach has the lowest score of 28.3% (poor). Correlation analysis yielded a coefficient of r = 0.97, indicating a very strong positive relationship between coastal vegetation and protective coastal structures. Therefore, the study recommends strengthening mitigation strategies through improved protective infrastructure and optimization of coastal vegetation functions, particularly in high-risk areas, to reduce tsunami impacts in the future.
Penerapan Bayesian Knowledge Tracing pada Game Ethno Run sebagai Media Pembelajaran Matematika Adaptif untuk Siswa Kelas 3-5 Sekolah Dasar Alvi Setya Kurnia Dewi; Anita Qoiriah
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 4 No. 1 (2026): Januari : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v4i1.776

Abstract

Mathematics is a core subject that develops critical thinking skills; however, many third to fifth-grade elementary school students face difficulties with conventional teaching methods that tend to be uniform and less adaptive. This study aims to develop and implement a mobile-based educational game, "Ethno Run," which integrates the Bayesian Knowledge Tracing (BKT) algorithm to provide an adaptive learning experience. The method used is Research and Development (R&D) with the Multimedia Development Life Cycle (MDLC) framework. The system uses BKT to track students' mastery in real-time by analyzing their responses to pre-tests and exercises within the game, which then adjusts the difficulty level and focuses the post-test on areas identified as weak, such as arithmetic operations and geometry. The findings show that this adaptive approach significantly improves learning outcomes, with the average score increasing from 44.33 on the pre-test to 85.33 on the post-test among 30 students. This study concludes that the integration of Artificial Intelligence through BKT effectively personalizes learning, enhances student motivation, and provides data-driven insights for teachers regarding students' progress. The implication of this research is that adaptive game-based learning serves as a feasible interactive solution to bridge the gap in conventional basic mathematics education.
Sistem Pengambilan Keputusan Bedah Rumah pada Dinas Perumahan Kawasan Pemukiman dan Pertanahan Menggunakan Metode Weight Product (WP) Maichel Avenio Nahak; Gergorius Kopong Pati; Dian Fransiska Ledi
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 4 No. 1 (2026): Januari : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v4i1.785

Abstract

The house renovation program is one of the government's efforts to improve the quality of housing for low-income people. However, the process of selecting recipients of home surgery assistance is often faced with obstacles in determining the right and fair priorities for recipients. Therefore, this study aims to design and implement a home surgery decision-making system at the Housing, Residential Areas, and Land Office using the Weight Product (WP) method. The WP method was chosen because of its ability to conduct an objective assessment of various relevant criteria, such as the condition of the house, ownership status, level of welfare, and socioeconomic needs of the recipient. This system will give weight to each criterion used to determine the priority of home surgical assistance for residents in need. In its implementation, this system is able to process data from various prospective recipients and produce an automatic and transparent order of priority recipients. The results of the evaluation show that this system can improve efficiency and accuracy in the decision-making process, as well as assist the Housing Office in implementing the house renovation program more on target. With this system, it is hoped that the home renovation program can provide greater benefits to people in need, as well as accelerate the implementation of better housing programs.
Analisis Dampak Judi Online Berbasis Aktivitas Digital terhadap Kesehatan Mental dan Perilaku Sosial Generasi Muda di Indonesia Alfani Azhard; Haris Pratama; Putri Nabawy
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 4 No. 1 (2026): Januari : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v4i1.786

Abstract

The rapid development of digital technology has significantly increased public access to online activities, including online gambling, which has emerged as a serious social problem in Indonesia. This study aims to analyze the impact of online gambling on the mental health and social behavior of young people. This research employed a descriptive method with a survey approach. Data were collected through questionnaires distributed to young respondents who had experience or exposure to online gambling activities. The findings indicate that involvement in online gambling has a significant impact on mental health disorders such as stress, anxiety, and depressive symptoms. In addition, online gambling contributes to a decline in social interaction quality, increased family conflict, social withdrawal, and reduced productivity. Behavioral changes such as impulsivity and decreased self-control were also identified among respondents. These results demonstrate that online gambling not only affects individuals psychologically but also disrupts social relationships and family harmony. Therefore, comprehensive preventive efforts are needed through digital literacy enhancement, family involvement, and psychological support services to protect young people from the negative consequences of online gambling.

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