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Saber: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Published by Sekolah Tinggi Ilmu Kesehatan Ibnu Sina Ajibarang
ISSN : 30252776     EISSN : 3025342X     DOI : 10.59841
Core Subject : Science,
Computer Science & IT
hasil penelitian mengenai Ilmu bidang Teknik Informatika, Sains dan Ilmu Komunikasi, sebagai media bagi para dosen, guru, peneliti dan para praktisi dalam bidang teknologi informasi dari seluruh Indonesia
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 296 Documents
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Studi Komparatif: Kecepatan Autentikasi Fingerprint dan Face Recognition pada Pendaftaran Pasien JKN Rawat Jalan di RSUD Balaraja Aliy Sidrat; Husni Abdul Muchlis; Hosizah Hosizah; Mieke Nurmalasari; Husnul Khotimah
SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Vol. 4 No. 4 (2026): Oktober: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/saber.v4i4.3890

Abstract

Outpatient JKN registration at RSUD Balaraja still faces time-efficiency problems because fingerprint authentication frequently fails to verify, particularly among elderly patients, while the effectiveness of face recognition as an alternative remained uncertain. This study aimed to compare the average authentication time of fingerprint and face recognition methods in JKN outpatient registration at RSUD Balaraja in 2026. A quantitative comparative design with a cross-sectional approach was applied, involving 300 respondents (150 fingerprint users and 150 face recognition users) selected through accidental sampling and analyzed using the Mann-Whitney U Test due to non-normal data distribution. Results showed the mean authentication time for fingerprint was 2.91 seconds (median 2.56; SD 2.00), while face recognition was 1.58 seconds (median 1.37; SD 1.27). The Mann-Whitney test yielded Z = -7.864 and Asymp. Sig. (2-tailed) < 0.001, indicating a statistically significant difference between the two methods. Face recognition proved faster and more consistent than fingerprint, especially among elderly patients, although it showed a slightly lower first-attempt success rate due to lighting and camera-angle factors. RSUD Balaraja is recommended to strengthen face recognition as the primary authentication method while retaining fingerprint as a secondary method.
Ekstraksi Blind Data Tersemat LSB dari Citra PNG melalui Force Decode Multi-Arah Ikhwan Baidlowi Sumafta; Ahmad Hamdani; Tri Lestariningsih; Ghali Marzani; Bayu Prasetiyo Utomo; Dionesyus Divo Crista Marvino
SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Vol. 4 No. 4 (2026): Oktober: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/saber.v4i4.3891

Abstract

Digital images are widely utilized as carriers for covert communications through steganography. However, this technique is increasingly exploited to conceal malicious payloads, such as malware, without altering visual appearances. While the Least Significant Bit (LSB) method remains popular due to its high visual imperceptibility, existing steganalysis techniques often fail to recover hidden content when insertion parameters are unknown. This study evaluates the effectiveness of the Force Decode strategy as an exploratory blind steganalysis approach to extract LSB payloads from PNG images without prior knowledge of embedding configurations. Employing a quantitative comparative experimental design, the proposed system was implemented in Python. The method extracts LSBs across the red, green, and blue (RGB) color channels, reconstructs binary sequences through eight pixel-scanning orientations, and converts them into ASCII text. Evaluation was conducted on fifteen stego-image datasets representing five insertion complexity levels, ranging from single-channel alphabetic messages to multi-channel random combinations of letters, numbers, and symbols. The experimental results demonstrate that Force Decode successfully generated textual output across all datasets regardless of insertion complexity. Low-complexity datasets yielded highly legible messages with minimal noise, whereas high-complexity scenarios produced a hybrid of meaningful text fragments and random characters. Despite increased noise in complex configurations, the method consistently revealed latent payload content without prior parameter knowledge. These findings confirm that Force Decode is a viable and effective exploratory steganalysis technique for PNG images, laying a practical foundation for future research on reliable blind LSB extraction and automated interpretation systems.
The Role of Digital Content in Shaping the Childfree Lifestyle in Palembang City Ratu Atyra Dwina; Rahma Santhi Zinaida
SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Vol. 4 No. 4 (2026): Oktober: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/saber.v4i4.4026

Abstract

The development of digital media has expanded opportunities for individuals to access information and encounter diverse perspectives on lifestyle choices, including the decision to live without children. Discussions of childfree lifestyles have become increasingly visible on social media, particularly through short-form video content on TikTok. This study aims to examine the role of digital content in shaping understandings of the childfree lifestyle in Palembang City. A qualitative approach with content analysis was employed. The primary data consisted of digital content featuring Gita Savitri and Paul, Lulu Kianna, Coach Justin, and Rina Nose, while supporting data were obtained through in-depth interviews with three childfree informants in Palembang City. Stuart Hall’s Representation Theory was used as the main theoretical framework, complemented by Barbara J. O’Keefe’s Message Design Logic Theory. The findings indicate that childfree is represented through different perspectives, including a mutual decision between partners, personal considerations, opinions, and personal experiences and reflections. The interviews further show that social media introduced the term childfree to the informants and provided them with information and alternative perspectives. However, their decisions were not formed solely through exposure to digital content but were also influenced by personal experiences, life circumstances, relationships with partners, and individual considerations. Thus, digital content functions primarily as a source of information, perspective, and consideration rather than as the sole determinant of the decision to live childfree.
AI-Driven Business Intelligence for Managerial Decision-Making: The Roles of Prediction Accuracy, Response Speed, Transparency, Explainability, and User Trust Ika Rosalika; Ibnu Akil; Muhamad Harun; Wahyu Indrarti; Linggar Kiki Zakaria
SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Vol. 4 No. 4 (2026): Oktober: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/saber.v4i4.4129

Abstract

Digital transformation has accelerated the integration of artificial intelligence (AI) with Business Intelligence (BI) to support faster, more accurate, and data-driven managerial decision-making. This study examines the effects of Prediction Accuracy, Response Speed, Transparency, and Explainability on Managerial Decision Quality, with User Trust positioned as a mediating variable. A quantitative explanatory design was employed involving 190 respondents who had experience using AI-based systems, Business Intelligence, data analytics, or digital applications for work-related decision support. Data were collected through a structured questionnaire using a five-point Likert scale and analyzed with Partial Least Squares Structural Equation Modeling (PLS-SEM). The results show that Prediction Accuracy, Response Speed, Transparency, and Explainability have positive and significant effects on User Trust. User Trust also has a positive and significant effect on Managerial Decision Quality. In addition, all four AI-driven Business Intelligence characteristics directly influence Managerial Decision Quality. Mediation analysis confirms that User Trust significantly mediates the relationships between Prediction Accuracy, Response Speed, Transparency, and Explainability and Managerial Decision Quality, indicating partial mediation. Among the examined relationships, User Trust demonstrates a particularly strong contribution to decision quality, highlighting the importance of appropriate reliance on AI-supported recommendations. These findings indicate that effective AI-driven Business Intelligence requires not only accurate predictions and rapid responses but also transparent processes and understandable explanations. Organizations should therefore develop AI-BI systems that balance technical performance with user understanding and trust to improve the quality, relevance, timeliness, and consistency of managerial decisions. This approach strengthens human-AI collaboration while preserving informed managerial judgment in organizations.
Sistem Informasi Pengelolaan Kendaraan Operasional Berbasis Web Menggunakan Algoritma Naive Bayes dan Decision Tree Aditya Arta Nafian; Geri Kusnanto; Ery Sadewa Yudha
SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Vol. 4 No. 4 (2026): Oktober: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/saber.v4i4.4138

Abstract

Penelitian This study discusses the design of a web-based operational vehicle management information system at UD Sentosa utilizing a data mining-based quantitative approach. The background of this research is driven by the fact that the operational vehicle management process is still conducted manually, leading to various issues such as difficulties in vehicle data logging, borrowing, maintenance, and vehicle operational reporting. These conditions potentially cause information delays, low data accuracy, and suboptimal vehicle maintenance decision-making. The research methodology employed is applied research with a quantitative approach. Data analysis was conducted using data mining methods by implementing the  and Decision Tree algorithms to classify operational vehicle maintenance conditions based on historical vehicle data. The research demonstrates that the developed web-based operational vehicle management information system is capable of assisting the processes of vehicle data logging, borrowing, maintenance, and reporting more effectively and efficiently. In addition, the implementation of the  and Decision Tree algorithms successfully provides classification information regarding vehicle maintenance conditions, which can be utilized as a support for decision-making. Consequently, the constructed system is expected to improve the effectiveness and quality of operational vehicle management at UD Sentosa in an integrated and data-driven manner.
Konstruksi Realitas Politik dan Dampak Media Terhadap Dinamika Masyarakat di Kota Bogor dalam Pemilihan Presiden 2024 Dwi Muliati; Indra Martian Permana
SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Vol. 4 No. 4 (2026): Oktober: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/saber.v4i4.4141

Abstract

The evolution of political mediatization in the 2024 Presidential Election positioned digital platforms as the primary arena for the reproduction and negotiation of public issue meanings. This article examines how social media discourse structures configure the political perceptions of citizens in Bogor City through Teun A. van Dijk’s sociocognitive critical discourse analysis framework. Utilizing a descriptive qualitative approach centered on a literature review and the synthesis of secondary data from KPU Kota Bogor, this study unpacks three main dimensions: text, social cognition, and social context. The findings indicate a shift in political discourse from substantive debate toward the dominance of visual packaging, personal branding, and political gimmicks that trigger digital hyperreality. At the local level in Bogor City, the interpretation of digital messages is not absorbed uncritically; rather, it is filtered through the socio-religious characteristics of the community and the role of informal leadership figures. This study concludes that the hegemony of digital discourse continuously dialecticizes with local value preferences, highlighting the critical need to enhance digital political literacy to empower voters in distinguishing image-making from policy substance.
Komunikasi Digital Boikot Starbucks di Indonesia: Analisis Social-Mediated Crisis Communication dan Financial impact Kaulika Alsya Aliyah
SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Vol. 4 No. 4 (2026): Oktober: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/saber.v4i4.4146

Abstract

This study aims to analyze digital communication in the Starbucks boycott in Indonesia using Social-Mediated Crisis Communication (SMCC) as a framework for understanding the development, dissemination, and interpretation of crisis information, and to analyze financial impact as an indicator of organizational pressure. The study employs a descriptive qualitative approach using secondary data obtained from official Starbucks statements, media reports, digital information, social media documentation, financial reports, and corporate disclosures from MAP Boga Adiperkasa. The analysis was conducted by developing a crisis chronology, mapping actors and information flows based on the components of SMCC, conducting content analysis of organizational responses and media coverage, and comparing MAPB’s quarterly financial indicators from Q1 2023 to Q1 2025. The findings show that the controversy originating from a statement by Starbucks Workers United developed into a reputational crisis through the dissemination of information by influential social media creators, social media followers, social media inactives, conventional media, and consumers. Differences between Starbucks’ official clarification and public narratives caused the issue to develop from a dispute concerning the company’s relationship with its labor union into an issue involving humanitarian concerns, freedom of expression, and consumer decisions. Financially, MAPB’s total revenue declined from USD 70.469 thousand in Q3 2023 to USD 43.989 thousand in Q1 2025, while net income, EPS, and ROE became negative after Q4 2023; however, these changes cannot be attributed exclusively to the boycott because MAPB manages various brands. Starbucks’ communication strategy can combine factual clarification, message consistency, empathy toward humanitarian issues, dialogue with digital publics, management of third-party narratives, communication of concrete actions, and sustainable communication to support the recovery of public trust.
Krisis Kepercayaan terhadap Citra Digital: Semiotika Visual, Deepfake, dan Negosiasi Kebenaran dalam Media Digital Andi Banus Achir; Zaldy Handi Aditia; Susie Sugiarti; Yunidyawati Azlina; Mety Titin Herawaty
SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Vol. 4 No. 4 (2026): Oktober: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/saber.v4i4.4160

Abstract

The development of generative artificial intelligence has transformed the digital visual communication ecosystem by enabling the production and manipulation of increasingly realistic images, thereby challenging the assumption that what is seen can immediately be trusted as evidence. This study aims to analyze the relationship between visual signs, deepfakes, digital verification, visual trust, and the construction of truth in digital media. This study employs an interpretive qualitative approach through visual semiotic, multimodal, and reflexive thematic analyses of a corpus of digital visual materials, including deepfakes, AI-generated images, visual manipulation, misinformation, and debates concerning authenticity. The analysis focuses on denotative and connotative aspects, the relationship between visual representation and textual framing, circulation context, and verification processes through source tracing, reverse image search, comparison with independent sources, metadata, and provenance. The findings show that visual realism still shapes initial credibility but is no longer sufficient to guarantee authenticity because deepfakes can preserve strong iconic resemblance while weakening the indexical relationship with reality. Awareness of deepfakes also creates a paradox of distrust in which both synthetic and authentic content may be questioned. Authenticity is also determined by the consistency among images, claims, sources, time, location, and circulation context. Digital verification therefore becomes an important epistemic mechanism for linking images with sources, context, and external evidence. This study concludes that visual truth is increasingly contextual, conditional, and negotiated, shifting the paradigm from seeing is believing to seeing requires verification, while emphasizing the importance of visual literacy and evidence triangulation in building trust.
Pengembangan Sistem Penjemputan Siswa SD Berbasis Web dengan QR Code dan WhatsApp Gateway Indra Nurcahya; Rini Suwartika Kusumadiarti
SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Vol. 4 No. 4 (2026): Oktober: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/saber.v4i4.4168

Abstract

The student pickup process at SD Santa Ursula Bandung is still carried out conventionally via individual announcements using a public address system in the gathering area known as the bangsal, making it prone to information delays between teachers and parents, misverification of pick-up persons, and even the risk of students being picked up by unauthorized individuals without the biological parents' knowledge. This study aims to develop a web-based Student Pickup Monitoring Information System integrated with QR Codes and WhatsApp Gateway to enhance pickup security and efficiency. The study uses a qualitative approach through observation and interviews, while system development applies the Waterfall method. The application is developed using Laravel, PHP, MySQL, QR Codes, and Fonnte API as the WhatsApp notification service. Testing is conducted using Black Box Testing to evaluate system functions and User Acceptance Testing (UAT) to measure user acceptance. Black Box Testing results show that all features function according to requirements without errors, achieving a 100% success rate (12/12 valid scenarios), while UAT results involving 5 respondents show an average acceptance rate of 87.3% categorized as Very Feasible. Further development can focus on enhancing system security and providing a mobile-based application.
Sistem Pengelolaan Transaksi Top-Up Mobile Legends Berbasis Whatsapp Gidion Situmorang; Eko Prasetyo
SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Vol. 4 No. 4 (2026): Oktober: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/saber.v4i4.4190

Abstract

The rapid development of information technology has driven various innovations in digital service systems, including online game top-up transactions. One of the most popular games is Mobile Legends: Bang Bang, which uses diamonds as a virtual currency. The top-up process is generally carried out through websites or certain applications, which still presents several challenges such as multiple transaction steps and less efficient service. Therefore, a system that can provide convenience and speed in the transaction process is needed. This study aims to analyze and design a diamond top-up information system based on a chatbot integrated with the WhatsApp application. The method used in this research is system analysis and design using the Unified Modeling Language (UML) approach, including use case diagrams, activity diagrams, and sequence diagrams. The proposed system allows users to perform top-up transactions automatically through interactions with a WhatsApp chatbot. The results of this study indicate that the chatbot system integrated with WhatsApp is capable of providing automatic and real-time responses to users, thereby improving service efficiency and simplifying the transaction process. In addition, the system reduces manual interaction and accelerates the verification process as well as the delivery of diamonds to user accounts. In conclusion, the implementation of a WhatsApp-based chatbot in the diamond top-up system can be an effective solution to enhance the quality of digital services, particularly in terms of speed, convenience, and transaction efficiency.

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