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All Journal Diya Al-Afkar: Jurnal Studi al-Quran dan al-Hadis Procediamath al-Aulad: Journal of Islamic Primary Education Dimasejati: Jurnal Pengabdian Kepada Masyarakat Nama jurnal : International Journal of Education and Humanities Journal of Mathematics Instruction, Social Research and Opinion NJMMS Smart Techno (Smart Technology, Informatic and Technopreneurship) International Journal of Smart Systems Educational Insights Cendikia Pendidikan Jurnal Informatika: Jurnal Pengembangan IT TERAS: Jurnal Pengabdian Masyarakat Sosial Budaya International Journal of Technology and Modeling Perspectives in Mathematics and Applications (PERMATA) ITEJ (Information Technology Engineering Journals) Al Ibtida: Jurnal Pendidikan Guru MI Eduma : Mathematics Education Learning and Teaching
Saluky
IAIN Syekh Nurjati Cirebon
Religion Arts Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Physics Public Health Social Sciences Other

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Development of an Android-Based Daily Prayer Learning Application Saluky; Santinah; Marinih
Educational Insights Vol. 2 No. 2 (2024): December 2024
Publisher : PT Ilmu Inovasi Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58557/eduinsights.v2i2.56

Abstract

The growing accessibility of information technology offers significant potential for developing educational applications, including those for religious learning. One pressing need is for effective tools to learn daily prayers, essential in Muslim life. This article details the creation of an Android-based daily prayer learning application designed to aid users in learning and memorizing these prayers. The application was developed in four stages: user needs analysis through surveys and interviews, intuitive user interface design, application development using Android Studio with Java, and rigorous testing via Black-box Testing and user trials. Key features include complete prayer texts with translations, audio recitations, and explanations of prayer contexts and benefits. Testing results were positive, with users praising the app’s effectiveness, user-friendly interface, and high-quality content. By leveraging Android’s popularity and affordability, this application provides an accessible and interactive learning platform, addressing the urgent need for a practical medium to enhance daily prayer knowledge and skills among Muslims.
Memfasilitasi Penerapan Sistem Terpadu di Klinik Estetika D.A.N Saluky, Saluky; Akbar, Reza Oktiana; Kurniawan, Heru Purnomo
Dimasejati: Jurnal Pengabdian Kepada Masyarakat Vol 6, No 2 (2024)
Publisher : IAIN Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70095/dimasejati.v6i2.18073

Abstract

FACİLİTATİNG THE ADOPTİON OF INTEGRATED SYSTEMS AT D.A.N AESTHETİCS CLİNİC, Assistance in implementing an integrated system in clinics and aesthetic services aims to optimize operational efficiency while enhancing service quality. This study focuses on identifying challenges encountered in adopting an information technology system that combines key functions such as patient management, scheduling, electronic medical records, and inventory management. These challenges often relate to staff adaptation to new technology and the need for adequate technical support. The implementation process includes several methods, such as needs analysis, comprehensive staff training, and regular evaluations to assess system effectiveness. Research findings reveal that intensive and continuous assistance plays a crucial role in the successful adoption of this system. Responsive technical support can help reduce psychological and technical barriers to changes in work systems, ultimately increasing acceptance and user satisfaction. The study shows that with proper assistance, clinics can achieve higher efficiency in their daily operations. The system’s implementation contributes to improved quality in aesthetic services. Supporting the use of an integrated system enables clinics to provide more professional and faster services, resulting in greater patient satisfaction. Thus, assistance not only aids in clinical efficiency but also has a positive impact on patient experience and satisfaction, which are the primary goals of healthcare services.
Penerapan Algoritma Deteksi Tepi Canny Menggunakan Python Dan Opencv Saluky; Yoni Marine
Smart Techno (Smart Technology, Informatics and Technopreneurship) Vol. 5 No. 1 (2023)
Publisher : Primakara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59356/smart-techno.v5i1.73

Abstract

Abstract: Object detection is one step in object recognition in the field of computer vision. The edges of the image characterize the boundaries that distinguish it from other objects and are therefore a very important problem in image processing. Accurate Image Edge Detection can significantly reduce the amount of data and filter out useless information while retaining important structural properties in the image. Since edge detection is at the forefront of image processing for object detection, it is very important to have a good understanding of edge detection algorithms. In this study, applying canny edge detection using python and OpenCV and also compared with other image processing methods. The result is that Canny edge detection has a better performance compared to other algorithms such as LoG (Laplacian of Gaussian), Robert, Prewitt and Sobel.
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.
Co-Authors Ade Saepudin Ade Saepudin, Ade Afiqoh Agustin Agus Pamuji Akbar, Reza Oktiana Alviyaturrohmah Alviyaturrohmah Alviyaturrohmah, Alviyaturrohmah Arif Muchyidin Asep Saefurohman Azsky Azkiyyatunnafsi Nurillathifah Azzahra, Melia darwan darwan, darwan Fachry Abda El Rahman Farhatuaini, Lia Fathimah , Aisya Fatimah, Aisya HENDRI HANDOKO Heru Purnomo Hilmi Zaki Islahati Ilham Maulana Ilham Maulana Kurniawan, Heru Purnomo Kusmanto, Hadi Maimun, Muhammad Marine, Yoni Marinih Morin Prita Laura Muhammad Ali Misri Muhammad Ali Misri Muhammad Ali Misri, Muhammad Ali Muhyidin, Iid nurhana syamarro Nurrochmah , Nurrochmah Sri Rahayu Nurrochmah Sri Rahayu Nurul Bahiyah Nurul Hikmah Onwardono Rit Riyanto Putri, Intan Nur Ramadhan S., M. Fathur Rezza Trie Kusdayati Santinah Santinah Santinah Santinah Santinah, Santinah Sirojudin Wahid Siti Rahmah Tuti Isnani Widodo Winarso Wulandari Wulandari Yoni Marine Yoni Marine