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A Review: Application of AIOT in Smart Cities in Industry 4.0 and Society 5.0 Saluky; Yoni Marine
International Journal of Smart Systems Vol. 1 No. 1 (2023): February
Publisher : Etunas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63876/ijss.v1i1.1

Abstract

This review paper explores the application of Artificial Intelligence of Things (AIOT) in smart cities under the contexts of Industry 4.0 and Society 5.0. The main objective of the paper is to analyze and evaluate the latest developments and implementations of AIOT in smart cities, and to provide insights on the potential benefits, challenges, and future research directions. The study uses a systematic literature review approach and synthesizes relevant literature from various sources. The results indicate that AIOT has immense potential to revolutionize the way smart cities operate by enhancing the efficiency, sustainability, and livability of urban spaces. However, the adoption of AIOT also poses several challenges such as security, privacy, and ethical concerns. The paper concludes that a more collaborative and interdisciplinary approach is needed to fully realize the potential of AIOT in smart cities and address the challenges that come with it. The findings of this review provide useful insights for policymakers, practitioners, and researchers interested in the development and implementation of AIOT in smart cities.
Penguatan Kapasitas Digital Melalui Pelatihan Desain Grafis Pada Komunitas Perempuan (Studi Kasus Fatayat Nu Ranting Losari Lor) Bahiyah, Nurul; Agustin, Afiqoh; Farhatuaini, Lia; Purnomo, Heru; Darwan, Darwan; Saluky, Saluky; Pamuji, Agus; Morin Prita Laura; Azzahra, Melia
TERAS: Jurnal Pengabdian Masyarakat Sosial Budaya Vol. 1 No. 2 (2025): TERAS: Jurnal Pengabdian Masyarakat Sosial Budaya, Mei 2025
Publisher : Gema Cendekia Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71094/teras.v1i2.111

Abstract

Pelatihan desain grafis Canva merupakan salah satu pelatihan yang dapat memberikan keterampilan dan pengetahuan kepada peserta pelatihan untuk membuat desain grafis yang menarik, kreatif, dan informatif. Canva merupakan aplikasi desain grafis yang mudah digunakan dan memiliki berbagai fitur yang lengkap. Oleh karena itu, pelatihan desain grafis Canva dapat menjadi pilihan yang tepat bagi berbagai kalangan, mulai dari pelajar, mahasiswa, hingga pekerja profesional. Salah satunya Fatayat NU Ranting Losari Lor. Metode pengabdian Service Learning. Materi yang diberikan kepada peserta tentang bagaimana merancang, mengelola elemen multimedia (text, gambar, suara dan video) menggunakan aplikasi Canva. Tujuan dari pelaksanaan program pengabdian masyarakat ini adalah untuk memberikan pengetahuan dasar kepada peserta dalam membuat karya grafis, meningkatkan kompetensi melek teknologi bagi peserta dan meningkatkan kemampuan pengurus dan anggota Fatayat dalam bidang desain grafis. Hasil Evaluasi kegiatan yang dilakukan yaitu pembagian kuisioner dengan beberapa indikator yaitu kemudahan penggunaan, kejelasan materi yang disampaikan, dan manfaat yang dirasakan oleh peserta. Pelatihan ini dapat menambah wawasan dan ilmu pengetahun bagi anggota Fatayat NU Rating Losari Lor. Saran yang dapat diberikan yaitu adanya pelatihan berkelanjutan agar anggota Fatayat NU Rating Losari Lor. dapat memaksimalkan ilmu yang telah disampaikan.
Penerapan Normalisasi Histogram untuk Peningkatan Kontras Pencahayaan pada Pengamatan Visual CCTV Saluky, Saluky; Marine, Yoni; Bahiyah, Nurul
Jurnal Informatika: Jurnal Pengembangan IT Vol 8, No 3 (2023)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v8i3.4929

Abstract

Low Contrast can cause low image quality and make it difficult for proper image analysis. One technique to improve image quality is to increase the lighting contrast. One method that is often used is histogram normalization, which can increase image contrast by balancing the distribution of pixels across a range of pixel values. The purpose of this research is to apply the histogram normalization method to images and compare the results before and after the normalization process. The images used in this study are self-made images and images from public databases. The results of the study show that normalized histograms can increase image contrast and improve low image quality due to inadequate lighting. Thus, histogram normalization can be used as a technique to improve image quality in various applications, including medical image processing, satellite image processing, and security surveillance.
A Review Learning Media Development Model Saluky; Marine, Yoni
International Journal of Technology and Modeling Vol. 1 No. 2 (2022)
Publisher : Etunas Sukses Sistem

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63876/ijtm.v1i2.7

Abstract

This study aims to review various models of ICT-based learning media development. This study covers several development models such as ADDIE, SAM, RADD, Agile Development Model, Spiral Model, and DADD. The purpose of this research is to evaluate the advantages and disadvantages of each model and provide the best recommendations for the development of effective and efficient learning media. The results of this study are expected to contribute to the development of ICT-based learning media in the future.
Revolutionizing Natural Language Processing (NLP): Cutting-edge Deep Learning Models for Chatbots and Machine Translation Arif, Muhamad; Saefurohman, Asep; Saluky
International Journal of Technology and Modeling Vol. 3 No. 1 (2024)
Publisher : Etunas Sukses Sistem

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63876/ijtm.v3i1.111

Abstract

Natural Language Processing (NLP) has undergone a transformative evolution with the advent of deep learning, enabling significant advancements in chatbots and machine translation. This article explores state-of-the-art deep learning models, including Transformer-based architectures such as GPT, BERT, and T5, which have revolutionized the way machines understand and generate human language. We analyze how these models enhance chatbot interactions by improving contextual understanding, coherence, and response generation. Additionally, we examine their impact on machine translation, where neural models have surpassed traditional statistical approaches in accuracy and fluency. Despite these advancements, challenges remain, including computational costs, bias mitigation, and real-world deployment constraints. This article provides a comprehensive overview of recent breakthroughs, discusses their implications, and highlights future research directions in NLP-driven AI applications.
Predicting Crop Water Requirements Using IoT Sensor Data for Deep Learning Saluky, Saluky; Fatimah, Aisya
Smart Techno (Smart Technology, Informatics and Technopreneurship) Vol. 7 No. 2 (2025)
Publisher : Primakara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59356/smart-techno.v7i02.151

Abstract

The optimization of irrigation is a crucial factor in enhancing agricultural productivity and resource efficiency. This study proposes a deep learning-based approach to predict plant water requirements using data from IoT sensors. The system collects real-time environmental parameters such as soil moisture, temperature, humidity, and solar radiation, which are then processed using a deep learning model to generate accurate irrigation recommendations. The model is trained and evaluated on historical sensor data to ensure robustness and reliability in varying climatic conditions. The proposed method aims to minimize water wastage while maintaining optimal soil moisture levels, thereby improving crop health and yield. Experimental results demonstrate that the deep learning model outperforms conventional threshold-based irrigation systems in terms of prediction accuracy and water conservation. This research contributes to the advancement of smart farming by integrating IoT and artificial intelligence for precision agriculture.
Unmanned Aerial Vehicles (UAVs) for Pest and Disease Detection in Rice Cultivation: A Systematic Review Saluky, Saluky; Marine, Yoni; Fatimah, Aisya
International Journal of Technology and Modeling Vol. 4 No. 3 (2025)
Publisher : Etunas Sukses Sistem

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63876/ijtm.v4i3.158

Abstract

This paper presents a systematic review of the use of Unmanned Aerial Vehicles (UAVs) for pest and disease detection in rice cultivation, a critical challenge in maintaining yield stability and reducing chemical overuse in global food systems. The study aims to synthesize current approaches, technologies, and algorithms employed in UAV-based monitoring of rice pests and diseases, while identifying research gaps and future directions for precision rice farming. Following PRISMA-inspired guidelines, a Systematic Literature Review (SLR) was conducted across major scientific databases (Scopus, Web of Science, IEEE Xplore, and ScienceDirect) using predefined keyword combinations related to UAVs, rice, pest/disease detection, and remote sensing. Inclusion criteria focused on peer-reviewed studies that explicitly employed aerial platforms for detecting biotic stress in rice, while review papers, non-rice crops, and purely simulation-based works were excluded. The findings highlight three dominant technology dimensions: sensing modalities, with RGB and multispectral imagery being most prevalent, followed by hyperspectral and thermal sensors; analytical methods, ranging from traditional vegetation indices and thresholding to advanced machine learning and deep learning models; and operational considerations, including flight altitude, spatial resolution, and temporal frequency of data acquisition. The review contributes by proposing a conceptual framework linking sensor choice, image processing pipelines, and pest/disease symptom characteristics in rice, and by outlining open challenges regarding data standardization, smallholder adoption, and model transferability across regions.
The Use Effects of Interactive Multimedia Edutainment on The Achievement Improvements in Mathematics Ade Saepudin; Saluky Saluky; Muhammad Ali Misri
ITEJ (Information Technology Engineering Journals) Vol. 1 No. 1 (2016): June
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v1i1.1

Abstract

The aim of this study was 1) to determine the students 'response to the use of interactive multimedia-based edutainment 2) the improvement of students' mathematics achievement 3) to determine the effect of the use-based interactive multimedia edutainment to increase student mathematics achievement. This research is a quantitative method used was experimental research design pretest posttest control group. The population in this study were students of class VII MTs.KHAS Kempek Cirebon 2015-2016 school year. Sample class VII E as the control class VII and class C as the experimental class. Data collection techniques in this study a questionnaire and tests. Based on the results of data processing, showed that students responded very well to the use of interactive multimedia-based edutainment. This is evidenced by the average percentage of each indicator by 84%. Mathematics achievement test results of students in the experimental class to change the value of an average of 48,75 while in the control group experienced changes in the average value of 34,04. Based on the results of regression testing using SPSS 21.00 correlation coefficient (r) = 0,777 which is included in the category of strong and coefficient of determination () = 0,603, or 603%. The regression equation is Y = -114,714 + 1,561X. This equation has a coefficient of linear regression direction (b) = 1,561 is positive, meaning that the response of students moved up one unit, then the student achievement in mathematics will increase 1,561 times. Statistical analysis showed that tcount> table = 8,273> 1,68. This means there is significant influence based interactive multimedia edutainment use to increase student mathematics achievement. The magnitude of effect was 60,3% and the rest influenced by other factors. Key Words: Based Interactive Multimedia Edutainment, Learning Achievement
Pengembangan Blueprint Sistem Informasi Akademik Terintegrasi (Studi Kasus : IAIN Syekh Nurjati Cirebon) Saluky Saluky
ITEJ (Information Technology Engineering Journals) Vol. 1 No. 2 (2016): December
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v1i2.8

Abstract

The information system is used to present information for management decision making and running the activities involved in an organization. Blue Print of information technology essentially provides college's strategic plan to implement and build information systems in college which is a derivative of the Business Plan colleges where individual companies generally have a strategic plan. This study aims to create an enterprise architecture for IAIN Syekh Nurjati Cirebon, in the form of IT blueprint that could later be used by the enterprise to achieve its vision and mission. The planning is done by utilizing EAP methodology (Enterprise Architecture Planning). The means used is through the process of defining the enterprise architecture in the form of data architecture, application architecture, technology architecture, business architecture, as well as integration architecture. Once the rest of the enterprise architecture is defined, the result made implementation plan is a plan for the implementation of enterprise architectures in the future as a blueprint for the information technology IAIN Sheikh Nurjati Cirebon.
Pengaruh Penggunaan Media Pembelajaran dengan Software Prezi Terhadap Minat Belajar Matematika Siswa Alviyaturrohmah Alviyaturrohmah; Saluky Saluky; Arif Muchyidin
ITEJ (Information Technology Engineering Journals) Vol. 2 No. 1 (2017): June
Publisher : Pusat Teknologi Informasi dan Pangkalan Data IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24235/itej.v2i1.12

Abstract

The use of media in learning activity can be a solution for teachers to overcome the problems that arise in learning. One of the problem is learning interest. It is important for teachers to cultivate students' learning interests. One of the media that can be used in learning is learning media with Prezi software. Learning media with Prezi software can be inserted with images, videos, music that can stimulate students' interest in learning. Population in this research is all class VIII SMP Negeri 4 Palimanan Kabupaten Cirebon while sampling using cluster random sampling technique and elected class VIII E as experiment class. Based on the results of the data obtained; the results of questionnaire analysis of students' responses to learning mathematics using Prezi software showed strong criteria with an average of 71% and the results of student interest in mathematics questionnaire analysis also showed strong criteria with an average of 80%. Based on the results of the hypothesis, it can be seen that the value of thitung > t_tabel, that is 4.546> 1.7011. Because t_hitung> t_tabel, then the decision to be taken is to reject H0 and accept Ha, it means that the hypothesis is accepted. The writer takes the conclusion that there is significant influence between learning media with Prezi software to the students' learning interest in mathematics.