Digital Modulation Research Articles

Deep learning-based spectrum sensing and modulation categorization for efficient data transmission in cognitive radio

Abstract One prominent feature of cognitive radio (CR) involves spectrum sensing (SS), which allows licensed primary users to remain unaffected by secondary users’ ability to discover and exploit unoccupied frequency bands. Spectrum sensing enhances the use of spectrum in CR devices, increasing their adaptability and efficiency in wireless communication systems. The rise of wireless equipment and the advent of IoT technologies compound this need for flexibility. Over time, the fixed allocation of frequencies has led to inefficiencies and underutilization as bandwidth needs increase. Deep learning and artificial intelligence have improved spectrum sensing by increasing detection probability of primary users’ presence under noisy environments, enabling cognitive radio systems to respond intelligently to fluctuations in RF environments. This article is concerned with deep learning techniques for spectrum sensing and modulation categorization with CBRT structure, which combines convolutional neural networks (CNNs), bidirectional recurrent neural networks (BRNNs), and transformer networks (TNs) to improve spectrum sensing. CNNs are responsible for performing spectrum feature extraction; BRNNs are used to capture temporal dependencies; and TNs are good at long range dependencies. Better performance for this model is aimed by integrating the three architectures described. In the proposed work, six digital modulation schemes were considered, for spectrum sensing. The sensing of spectrum in this model is performed using the RadioML2016.10B open-source dataset and performance metrics like the Jaccard Index (JI), Fowlkes’s Mallows Index, and F1 Score. Modulation classification has been performed using MIGOU-MOD open-source dataset. The proposed model exhibits good detection probability and low sensing error, unlike other methods at lower SNR.

Lessons learned during the design implementation of a digital construction site module

Our paper discusses a collaborative project between built environment professionals and academic educators. The project is about digitalising construction site visits as an online Canvas module for senior architecture students as part of their third-year core course titled: Project Management. The course is one of two courses that are required upon graduation to become a registered architect in Aotearoa, New Zealand. The module is designed with two key aspects in mind: the learning objectives that adhere to school accreditation requirements and the ‘Signature pedagogical practices’ determined by the educational institution: Waipapa Taumata Rau, University of Auckland. In this paper, we discuss our insights gained from designing an interactive, immersive, and hybrid learning experience.

Design of IoT-based monitoring system for temperature and dissolved oxygen levels in catfish aquaculture pond water

<span>One of the fish in Indonesian waters that has been successfully bred and cultivated is the catfish (Pangasius sp.). In catfish farming, there are several water quality factors that need to be considered, such as temperature and dissolved oxygen levels. Based on the existing description, it is very important to pay attention to the water quality of aquaculture ponds, especially temperature and dissolved oxygen levels for fish survival. This study aims to create an internet of things (IoT) based monitoring system for temperature and dissolved oxygen levels in catfish aquaculture pond water based on NodeMCU ESP8266. Monitoring system is using SEN0237 gravity analog dissolved oxygen sensor, DS18B20 sensor module, NodeMCU ESP8266, 20×4-character liquid-crystal display (LCD), micro secure digital (SD) card module, internet modem. Data from measurements of temperature and dissolved oxygen levels are stored online in the Adafruit.io database in the .csv format and on a micro secure digital (SD) card in the device in the .txt format. The lowest value of dissolved oxygen levels and temperature are 3.4 mg/L or 3.4 ppm and a temperature of 27.9 °C, respectively. Meanwhile, the highest value of dissolved oxygen levels and temperature are 4.6 mg/L or 4.6 ppm and temperature of 30.9 °C, respectively.</span>

Socio-Cultural Approach through Digital Teaching Modules: A Solution to Improve Beginning Reading Skills in Elementary Schools

The low level of early reading skills among primary school students in Indonesia is one of the significant challenges in education. International evaluations such as PISA show that Indonesian students' basic literacy skills are still below average, affecting their overall academic development. One of the contributing factors to these low results is learning that is less relevant to students' socio-cultural context. Therefore, this study aims to investigate the effect of a socio-cultural-based digital teaching module on primary school students' beginning reading skills. This study used a quasi-experimental design with a sample of 200 grade 1 students divided into experimental and control groups. The experimental group learned using socio-cultural-based digital teaching modules, while the control group applied conventional learning methods. The instrument used was a beginning reading test with 20 questions that measured the ability to recognize letter symbols, distinguish words based on the same initial letter or syllable, and compose syllables into words. Independent Sample T-Test analyzing an independent sample, ensuring that the ty and homogeneity tests were met. The results revealed significant differences between the experimental and control groups, with the experimental group showing more significant improvement in all indicators of beginning reading ability. Further discussion showed that the socio-cultural-based approach in this module made learning more relevant, exciting and interactive for students, ultimately improving their reading comprehension and motivation. In addition, integrating digital technology in this module supports flexibility and continuity of learning, allowing students to learn according to their pace and needs. This research has important implications, namely the need for broader implementation of Socio-Cultural Based Digital Teaching Modules in primary schools to improve basic literacy. However, to ensure its successful implementation, adequate technological infrastructure support and teacher training are needed to optimize this digital-based learning in the classroom.

Critical design futures thinking and GenerativeAI: a Foresight 3.0 approach in higher education to design preferred futures for the industry

Purpose The purpose of this study is to examine how integrating Foresight 3.0 (FS3.0) and the Critical Design Futures (CDF) framework into higher education can enhance students’ capacity to design preferred futures for the hospitality industry. Specifically, this study hypothesises that (H1) participation in a Digital Media Production module, underpinned by the CDF framework, bolsters students’ capabilities in designing innovative solutions for future‐oriented challenges in a Future of Hospitality-themed project. Additionally, (H2) the strategic integration of Generative AI (GenAI) tools with critical, design, and futures thinking skills within the CDF framework enhances students’ intellectual agility through iterative and dialogic interactions with GenAI tools. The methodology includes online surveys, multimodal and thematic qualitative analyses of students’ digital prototypes and reflections to study the effectiveness of FS3.0 and the CDF framework in cultivating future-ready graduates. Design/methodology/approach This study aims to explore the adoption of innovative tools and methodologies that anticipate future challenges while promoting proactive, solution‐oriented learning within higher education. The research investigates the integration of FS3.0 with the newly developed CDF framework within a Digital Media Production module tailored for the hospitality industry. FS3.0, by merging foresight with collective intelligence, fosters a collaborative, forward‐thinking educational paradigm that enhances students’ capacity to address complex, systemic, real‐world challenges. In this context, students engage in hands‐on activities, participating in intellectual sparring with GenAI tools–prompting, critiquing, and refining AI‐generated outputs–guided by the CDF framework. This approach aims to develop students’ creative confidence, critical competence, and futures flexibility (Patel et al., 2024). Findings Preliminary findings suggest that integrating FS3.0 and the CDF framework elevates students’ abilities to ideate and innovate effectively, particularly in developing solutions for industry‐specific challenges in the hospitality sector. The iterative, collaborative interaction with GenAI tools appears to enhance students’ intellectual agility, enabling them to flex their problem‐solving and creative thinking skills. Consequently, the study recommends establishing a collaborative learning space involving students, instructors, and industry stakeholders to continuously redesign innovation‐related modules based on the principles of collective intelligence and interdisciplinarity. Additionally, this study proposes a broader implementation of the FS3.0 and CDF approach across various educational disciplines to nurture innovative, forward‐thinking graduates who can navigate and innovate in complex environments. Originality/value This study contributes to higher education by demonstrating the value of integrating Foresight 3.0 and the Critical Design Futures (CDF) framework to equip students for an increasingly uncertain and complex world. The adoption of such innovative tools and methodologies enables students to anticipate and navigate future challenges effectively. Incorporating FS3.0 into educational curricula fosters a holistic perspective among students, encouraging them to think beyond present conditions and consider broader social, economic, and environmental contexts. This approach not only enhances students’ problem‐solving skills but also strengthens their resilience in facing multifaceted, real‐world challenges.

Implementation of EXOR and Subsequent Modular Circuits for Application at Nanoscale Level

Evolving as an outperforming nanotechnology, quantum-dot cellular automata (QCA) is being efficiently used for the design and development of digital modules. This paper presents a novel design for an ultra-efficient exclusive-OR (EXOR) gate in QCA nanotechnology using the cell translation technique. The analysis for fault tolerance and power dissipation of the proposed design is also assessed. To establish the effectiveness of the proposed design, an extensive comparison with the existing designs is provided. As a test bench implementation, the proposed EXOR gate is available as a module for the development of a parity checker, a full subtractor, and a 4-input binary to gray (B2G) code converter in QCA. The cell count for the proposed design of the EXOR gate, full subtractor, parity checker, and 4-input B2G converter is 8, 35, 24, and 24, and the total area (µm2) is 0.0039, 0.0259, 0.01749, and 0.0129, respectively. The proposed EXOR gate design outclasses the hitherto prevailing designs both in terms of the operational parameters and the dissipation of energy. The design simulations have been performed in QCA Designer 2.0.3, and the energy dissipation analysis has been executed in QCA Designer-E and QCAPro.

CCE-OMBOC: A Simple and Efficient Constant-Envelope Technology for Multicarrier Navigation Modulation by Clipping

Multicarrier navigation modulation is a trend within next-generation global navigation satellite systems (GNSS) aiming to enhance navigation performance, but it forces amplifiers to work in nonsaturation zones, resulting in low power efficiency. This paper presents constant-envelope multiplexing (CEM) based on clipping to overcome the low transmission efficiency of orthogonal multi-binary offset carriers (OMBOCs). The clip constant-envelope OMBOC (CCE-OMBOC) features a hard limit for the original OMBOC signal, and its cross-correlation function (CCF) has a fixed ratio with the CCF of the original OMBOC. Thus, the clipping process has no adverse effect on navigation performance. Additionally, the expression of transmission and multiplexing efficiency is presented according to OMBOC’s amplitude distribution. A low sampling rate is suggested for the CCE-OMBOC, which reduces the cost of signal generation. For OMBOC, the CCE-OMBOC provides multiplexing efficiency comparable to that of constant-envelope multiplexing via intermodulation construction (CEMIC). CCE-OMBOC has a straightforward generation process; in contrast, the complexity of CEMIC rises significantly with increasing subcarriers. Moreover, the CCE-OMBOC is a multicarrier CEM modulation tool that has good tracking performance and excellent compatibility. The greater the number of subcarriers, the more navigation services and the higher the navigation data rate. The CCE-OMBOC can be used in next-generation GNSS and integrated communication and navigation systems.

LPI Radar Waveform Recognition Based on Hierarchical Classification Approach and Maximum Likelihood Estimation

The importance of information gathering is emphasized to minimize casualties and economic losses in warfare. Through electronic warfare, which utilizes electromagnetic waves, it is possible to discern the enemy’s intentions and respond accordingly, thereby leading the battle advantageously. Consequently, related research is actively underway. The development of various radar signal modulation techniques has revealed limitations in the existing modulation recognition methods, necessitating the development of distinguishing features to overcome these limitations. This paper proposes and analyzes distinguishing features that can differentiate various modulation schemes. Eleven distinguishing features were employed, and twenty-two types of modulated signals, including analog, digital, and composite modulation, were classified using hierarchical classification approach and maximum likelihood estimation (MLE). The proposed method achieves a recognition performance of 99.76% at an SNR of 20 dB and 98.45% at an SNR of 8 dB.

Receiving Paths Improvement of Digital Phased Array Antennas Using Adaptive Dynamic Range

In contemporary radar technology, the observation and detection of objects with low radar cross-sections remains a significant challenge. A multi-functional radar model employing a digital phased array antenna system offers notable advantages over traditional radar in addressing this issue. Nonetheless, to fully capitalize on these benefits, improving the structure of the receiving path in digital transceiver modules is crucial. A method for improving the digital receiving path model by implementing a matched filter approach is introduced. Given that the return signals from objects are often lower than the internal noise, the analog part of the digital transceiver modules must ensure that its dynamic range aligns with the level of this noise and the weak signal. The output signal level of the analog part must correspond to the allowable input range of the analog-to-digital converter. Improvements in the receiving path to achieve a fully matched model can reduce errors in the phase parameters and amplitudes of the useful signal at the output. The simulation results presented in this paper demonstrate a reduction in amplitude error by approximately 1 dB and a phase error exceeding 1.5 degrees for the desired signal at the output of each receiving path. Consequently, these improvements are expected to enhance the overall quality and efficiency of the spatial and temporal accumulation processes in the digital phased array antenna system. Furthermore, to maintain the matched filter model, we also propose incorporating an adaptive “pseudo-expansion” of the linear gain range. This involves adding a feedback stage with an automatic and adaptive bias voltage adjustment for the intermediate-frequency preamplifier in the analog part of the receiving path. Simulations to qualitatively verify the validity of this proposal are conducted using data from practical operational radar system models.

Impact of digital modules on math achievement by gender and locality

Digital modules typically refer to self-contained units of online learning materials designed for specific topics or learning objectives. The researcher developed digital modules for three specific math units and conducted a three-week experiment in six schools in three districts of Punjab. The purpose of the study was to find the effectiveness of digital modules. The study revealed a statistically significant difference in gain achievement scores and posttest achievement between the experimental and control groups. The t statistic for gain achievement scores was 2.41, indicating a p-value of 0.016, and 2.70 for posttest achievement. This suggests a significant difference in learning outcomes between the two groups.

КЕРУВАННЯ ДИНАМІКОЮ ІМПУЛЬСНОГО ПЕРЕТВОРЮВАЧА З М’ЯКИМ ПЕРЕМИКАННЯМ, ЩО ПРАЦЮЄ НА ДУГОВЕ НАВАНТАЖЕННЯ

Issues of design and research of energy-efficient and reliable semiconductor DC voltage converters for wide application in power supply devices of arc plasmatrons used in plasma metal cutting installations are considered. An estimated structural dynamic model of a soft-switching DC converter with a closed-loop control system combining the power part and the control system, intended for use as part of the latter as a digital module, was built. A technique is proposed and methods of controlling the converter are found, which provide the specified duration of transient processes, the permissible value of load current pulsations in a quasi-steady mode and the astatism of the output current, which confirms the correctness of the proposed technique. A prototype of a pulse stabilizer with digital control was made. The results of experimental studies of the sample confirm the effectiveness of the developed control device, namely the achievement of the specified duration of transient processes caused by a step change in the load current, close to 10-12 periods of conversion and astatism of the output current. It is shown that the application of a pulse stabilizer, in which a digital control loop is used, has significant advantages compared to analog options and has the advantages of a strategic plan. The use of combined control allows you to significantly reduce the requirements for the overall gain of the main control channel, which greatly facilitates the choice of sequential digital correction. Research results may be of interest to specialists in the field of power electronics, power supply systems of autonomous objects and control systems. References 14, figures 11. Key words: automatic control system, digital controller, external disturbance, plasma, robustness, optimization.

Enhancing internal supply chain management in manufacturing through a simulation-based digital twin platform

Digital Twin (DT) technology is profoundly changing the manufacturing landscape and supply chain management with its ability to create real-time digital replicas of physical processes, allowing for enhanced monitoring and optimized decision-making. However, the analysis of scientific literature reveals that further efforts are needed to spread the use of Industry 4.0 technologies, in the specific context of Internal Supply Chains (ISCs). The main aim of this study is to design, develop test and validate a multi-plant Simulation-Based DT production planning platform for ISCs management. A modular architecture is adopted, and the focus is on a Simulation-Based Digital Twin module, which uses an object-oriented structure and enables what-if analyses, involving several scheduling rules and ISC configurations. The proposed solution ensures flexibility and scalability, two crucial features in a constantly evolving market environment. The platform is tested and validated through a case study, involving a corporate group in the Oil & Gas manufacturing sector, which needs to improve the ISC performance, under a Make-To-Order production strategy. The comparison with a baseline scenario, where the platform is not adopted, shows that the proposed approach can significantly reduce the average flow time, the average tardiness, the number of late orders. This study has important practical implications because enables proactive and smart decision-making, aimed at resource optimization and continuous improvement, through predictive analytics and scenario analysis.

Performance Analysis of Free Space Optical System Over Inverse Gaussian Gamma Turbulence Channel

ABSTRACTFree space optical (FSO) communication is a proficient technology with potential applications in the next generation of wireless communication. This article evaluates the performance of the FSO system under inverse Gaussian gamma (IGG) fading. A novel closed‐form equation for the cumulative distribution function (CDF) of the received signal‐to‐noise ratio (SNR) is presented by employing an intensity modulation/direct detection (IM/DD) scheme. The analytical expressions for various performance metrics such as outage probability (OP), amount of fading (AOF), and average bit error probability (ABEP) are derived for various digital modulation schemes based on the system's probability density function (PDF) and CDF. Additionally, this article presents an upper bound on OP and asymptotic analysis for the performance metrics to gain deeper insights. It is revealed that the small‐scale eddy turbulence parameter can affect the diversity order by a factor of β/2. The results demonstrate that atmospheric turbulence considerably reduces the system's performance. Finally, Monte‐Carlo simulation is performed to ascertain the correctness of the derived mathematical expressions.

Linker-Mediated Inactivation of the SAM-II Domain in the Tandem SAM-II/SAM-V Riboswitch.

Tandem SAM-II/SAM-V riboswitch belongs to a class of riboswitches found in the marine bacterium 'Candidatus Pelagibacter ubique'. Previous studies have demonstrated that these riboswitches have the potential for digital modulation of gene expression at both the transcriptional and translational levels. In this study, we investigate the conformational changes in the tandem SAM-II/SAM-V riboswitch binding to S-adenosylmethionine (SAM) using selective 2'-hydroxyl acylation analyzed by the primer extension (SHAPE) assay, small-angle X-ray scattering (SAXS), and oligos depressing probing. Our findings reveal that the linker between SAM-II/SAM-V aptamers blocks the SAM response of the SAM-II domain. This result proposes a new mechanism for gene expression regulation, where the ligand-binding functions of tandem riboswitches can be selectively masked or released through a linker.

A TDLAS gas detection method based on digital signal modulation

This research presents a novel TDLAS gas concentration detection method based on digital modulation. The method inherits the advantage of a simple system structure from Direct Absorption Spectroscopy, as well as the excellent sensitivity of Wavelength Modulation Spectroscopy. A low-frequency sawtooth wave is employed to drive the laser, resulting in a digital direct absorption spectrum signal. By constructing a cosine modulation sequence in the time domain and performing linear interpolation on the direct absorption spectrum, it successfully converts to a wavelength-modulated absorption spectrum and simultaneously generates a digital reference signal at double the frequency. Ultimately, phase-locked amplification technology can be used to calculate the amplitude of the second harmonic. Since both the modulation and reference signals are generated digitally, they ensure a strict frequency-doubling relationship and phase correlation, which not only reduces the complexity of the hardware system but also effectively minimizes system errors. Because digital technology generates both the modulation and reference signals, it ensures that they have the same phase and a strict frequency-doubling relationship. Experimental results demonstrate that, when fitted by a cubic polynomial, the second harmonic amplitude and the gas concentration have a correlation coefficient (R2) as high as 0.99999 and a root mean square error as low as 0.0011. This proves the method's great accuracy and reliability in practical applications.

Expanding the field of view - a simple approach for interactive visualisation of electron microscopy data.

The unparalleled resolving power of electron microscopy is both a blessing and a curse. At 30,000× magnification, 1 µm corresponds to 3 cm in the image and the field of view is only a few micrometres or less, resulting in an inevitable reduction in the spatial data available in an image. Consequently, the gain in resolution is at the cost of loss of the contextual 'reference space', which is crucial for understanding the embedded structures of interest. This problem is particularly pronounced in immunoelectron microscopy, where the detection of a gold particle is crucial for the localisation of specific molecules. The common solution of presenting high-magnification and overview images side by side often insufficiently represents the cellular environment. To address these limitations, we propose here an interactive visualization strategy inspired by digital maps and GPS modules which enables seamless transitions between different magnifications by dynamically linking virtual low magnification overview images with primary high-resolution data. By enabling dynamic browsing, it offers the potential for a deeper understanding of cellular landscapes leading to more comprehensive analysis of the primary ultrastructural data.

Review on Preamble-Based Channel Estimation Method for FBMC/OQAM Toward 6G: Advantages, Challenges and Future Works

Filter bank multicarrier/offset quadrature amplitude modulation (FBMC/OQAM) is a multicarrier modulation that is expected to replace orthogonal frequency division multiplexing (OFDM) in future sixth-generation (6G) networks. FBMC/OQAM has high spectrum efficiency, cyclic prefix (CP)-free transmission, decreased out-of-band emission (OOBE), and asynchronous environment robustness. However, the orthogonality criteria of FBMC/OQAM are only in the real field. Therefore, imaginary components of complex-valued OQAM symbols cause imaginary interferences among subcarriers, affecting channel estimation (CE) processing operations. Channel estimation is a critical component of wireless communication systems. Channel estimate allows the receiver to approximate channel impulse response (CIR) to determine the impacts of the communication channel on the sent symbols. So, an accurate channel estimate is critical in FBMC/OQAM. In this review, we focus on the Preamble-based method, one of the basic methods for channel estimation in FBMC. Three preamble-based approaches have been studied: the interference approximation method (IAM), the interference cancellation method (ICM), and pairs of pilots (POP) using a single antenna and multiple input multiple outputs (MIMO). Compare them regarding bit error rate (BER) and mean square error. Also, it compares different interference approximation methods in terms of bit error rate (BER), magnitude, and peak average power ratio (PAPR). The review found the superiority of M-IAM and NPS in spectrum efficiency and PAPR. Future work that can help the researcher in this field.

SUBSTANTIATION OF METHODOLOGICAL RECOMMENDATIONS FOR THE USE OF INFORMATION AND MEASURING SYSTEM BUILT ON THE LATEST HARDWARE DEVELOPMENTS DURING THE TESTING OF AME

The constant process of development of both hardware and software perfection inevitably leads to the improvement (creation) of existing (new) advanced information and measurement systems. At the same time, there is a need to develop methodological recommendations for the use of advanced information gathering and processing systems built on the basis of the latest hardware systems and complexes and software products for conducting heterogeneous tests. At the same time, there is a need to develop methodological recommendations for the use of a promising IMS for collecting and processing information built on the basis of the latest hardware systems and complexes and software products for conducting heterogeneous tests. Modern systems used for testing AME are measuring complexes that include modules for connecting sensors, modules for converting analogue sensor signals into digital form, modules for storing the received information in digital form and modules for communication with external computerised devices. Depending on the tasks of the test or experiment, the IMS can be supplemented (simplified) by the need to use certain measuring complexes and systems to measure parameters and obtain reliable information. The ideas, principles and algorithms that currently constitute the methodology of information processing have already made it possible to make a significant breakthrough in information processing technology. Processing methods and principles of their implementation for each field have their own specific features, which are primarily determined by the specific type of information carrier, encoding methods and ways of presenting the results of information processing. As a result, information processing arrangements for different areas often appear to be outwardly dissimilar. However, this external dissimilarity hides the same methodology and principles of building processing systems, which is crucial. The authors of the article study the capabilities of the latest hardware systems and complexes which should be included in advanced IMS and substantiate new methodological approaches, in accordance with regulatory and legal documents, to the use of such IMS during testing of AME.

Edu-Tourism Through Digital Literacy Based on Science and Technology in Community Empowerment Efforts to Improve the Economy in Banyuwangi Regency

This research aims to explore the role of science and technology-based edutourism in community empowerment efforts for economic improvement in Banyuwangi Regency, East Java. The subject matter studied includes the impact of the application of science and technology in edu-tourism programs on community economic improvement, strengthening the quality of education, and preserving local culture, improving the quality of human resources, utilizing technology in edu-tourism, and its impact on local economic development. The research method used was a literature study, as well as field research to collect relevant qualitative data. The data used includes data on the economy, education, tourism, and science and technology innovation in the education and tourism sectors. Based on the data analysis, this study highlights the importance of utilizing science and technology in the development of edu-tourism programs as an effort to improve the quality of the tourist experience, empower local communities, and strengthen the regional economy. The conclusion of this study shows that the implementation of science and technology-based edu-tourism has great potential to be one of the effective strategies in the effort to empower the community and improve the economy in Banyuwangi Regency. It is hoped that the results of this research can provide input for the government, educational institutions and tourism actors to develop edu-tourism programs in the form of sustainable digital modules and based on website technology to support economic and social development in Banyuwangi Regency.

Digital Teaching Materials of Logical Thinking - Oriented Exposition Text for X Graders of SMA/MA/SMK

This research aims to develop a logical thinking-oriented exposition digital teaching material product that is feasible and effective for Indonesian Language learning in grade X students of SMA/MA/SMK. This research uses a research and development method (Research and Development) with the ADDIE (Analysis Design Development Implementation Evaluation) model. Data collection in the study was carried out and analyzed descriptively, both quantitative and qualitative. The result of the design and development of this digital teaching material is a digital module in the form of pdf and a Flipbook consisting of a cover, concept map, learning objectives, until author biodata. It also contains materials in videos to practice listening, reading and writing that can be accessed in youtube by scanning the link. The results of product validation by language, material and media validators and practitioners stated that the digital teaching materials of logical thinking-oriented exposition texts for SMA/MA/SMK with a result of 80.79% mean "Feasible" to use. The results of the implementation of digital teaching materials for logical thinking-oriented exposition texts for 63 grade X students at SMAN 1 Gantar, SMAN 1 Gantar and MA Ma'had al-Zaytun, showed that there was a significant development between student learning outcomes before and after the use of digital teaching materials after being assessed using the T-Test (Paired sample Test), meaning "effective" for learning exposition text materials. Thus, digital teaching materials for logical thinking-oriented exposition texts for teachers and students of class X SMA/MA/SMK are feasible and effective in learning.