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All Journal Teknologi dan Kejuruan: Jurnal teknologi, Kejuruan dan Pengajarannya Jurnal Pendidikan Vokasi APTEKINDO JIPTEK : Jurnal Ilmiah Pendidikan Teknik dan Kejuruan ELECTRANS INVOTEC JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) Jurnal ULTIMA Computing JURNAL PENDIDIKAN TAMBUSAI Jurnal Teknologi Terpadu JURNAL BUDIDAYA PERTANIAN Journal of Vocational Education Studies (JOVES) TECHNO-SOCIO EKONOMIKA REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat International Journal of Electronics and Communications Systems Eduvest - Journal of Universal Studies IJIS Edu : Indonesian Journal of Integrated Science Education SNTE Pedagogia : Jurnal Ilmiah Pendidikan
Iwan Kustiawan
Universitas Pendidikan Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Neuroscience Social Sciences Other

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Steganografi Citra Digital Menggunakan Pendekatan Least Significant Bit dan Discrete Cosine Transform Imanudin, Rizkia Fahmi Noviansyah; Kustiawan, Iwan; Elvyanti, Siscka
Seminar Nasional Teknik Elektro Vol. 3 No. 1 (2023): SNTE II
Publisher : Forum Pendidikan Tinggi Teknik Elektro Indonesia Pusat

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Keamanan siber adalah salah satu aset terpenting yang harus dijaga selama proses transmisi data melalui Internet. Salah satu strategi untuk melindungi informasi penting adalah steganografi yang merupakan teknik penyembunyian informasi ke dalam multimedia seperti teks, audio, gambar digital, dan video. Penelitian ini bertujuan untuk mengimplementasikan metode steganografi pada file citra digital menggunakan skema Least Significant Bit (LSB) dan Discrete Cosine Transform (DCT). Parameter uji kinerja yang diukur adalah Peak Signal-to-Noise Ratio (PSNR), ketahanan terhadap kompresi, dan transparansi file yang disisipkan pesan dengan menghitung Mean Opinion Score (MOS). Kami menggunakan pendekatan water fall dalam penelitian ini. Hasil penelitian menunjukkan bahwa nilai PSNR dengan metode LSB mendapatkan hasil yang lebih baik dibandingkan dengan metode LSB lainnya. Sedangkan dari segi ketahanan terhadap kompresi, file citra digital memiliki ketahanan terhadap kompresi karena pesan yang diekstrak dalam file tidak mengalami perubahan. Berdasarkan pengolahan data MOS, metode LSB mengungguli persepsi pengguna dibanding metode lainnya. Hal ini diakibatkan karena metode DCT menghasilkan sedikit distorsi pada citra digital yang berpengaruh pada kejernihan dari berkas.
AIoT-Based Soil Moisture Monitoring System for Precision Agriculture and Energy Efficiency in Rural Smart Villages Mandasari, R Deasy; Adrian, Ronald; Kustiawan, Iwan; Alam, Sahirul; Lukman Hakim, Dadang; Wahyudin, Didin
REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Vol 6, No 3 (2025): Reka Elkomika
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/rekaelkomika.v6i3.217-225

Abstract

Alamendah Village is a horticultural area where irrigation and energy use are still managed manually, leading to water inefficiency and unmonitored electricity consumption. This study developed an AIoT-based system using ESP32 microcontrollers and soil moisture sensors to support precision irrigation and energy monitoring. The system design included sensor calibration to convert ADC values into moisture percentages, threshold-based irrigation recommendations, and a placement formula to determine sensor deployment. Field testing in strawberry plots demonstrated that soil moisture often dropped below the 40% threshold, triggering timely irrigation alerts. The dashboard provided real-time data visualization and revealed peak electricity demand in the evening at the village hall. The results indicated that the system enhanced irrigation accuracy, provided a baseline for monitoring energy consumption, and increased community awareness of sustainable resource management. The project offers a replicable model for integrating smart agriculture and energy monitoring in rural areas.
Tren Penelitian dan Dampak Adanya Internet of Things terhadap Peningkatan Kualitas Pendidikan IPA dalam Upaya Melaksanakan Sustainable Development Goals (SDGs): Analisis Bibliometrik Diana Rochintaniawati; Aay Susilawati; Iwan Kustiawan; Lilik Hasanah; Deni Irawan; Aa Juhanda; Salsabilla Dwita Putri
Pedagogia: Jurnal Ilmiah Pendidikan Vol. 16 No. 2 (2024)
Publisher : FKIP UNIVERSITAS PAKUAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55215/pedagogia.v16i2.20

Abstract

Tujuan dari penelitian ini untuk mengetahui tren penelitian dan pengaruh Internet of Things (IoT) terhadap Tujuan Pembangunan Berkelanjutan (SDGs) untuk pendidikan bermutu, khususnya pada Pendidikan IPA. Metode penelitian yang digunakan adalah analisis bibliometrik dengan menggunakan Publish or Peris dan Vos viewer untuk mencari data dan memvisualisasikan hubungan antara kata kunci Internet of things, SDGs dan pendidikan IPA. Hasil yang diperoleh adalah penelitian tentang IoT dan SDGs untuk pendidikan IPA bermutu merupakan penelitian yang sedang tren dan dikaji oleh para ilmuwan. Hal ini dapat dilihat pada visualisasi jaringan dan penjelasan tahun dan negara yang menunjukkan bahwa ketiga kata kunci tersebut merupakan hal yang baru dan menjadi topik penelitian. Rekomendasi dari hasil penelitian ini adalah memberikan peluang dan informasi tentang dampak teknologi IoT terhadap tujuan hidup berkelanjutan, khususnya dalam peningkatan mutu pendidikan IPA atau ilmu pengetahuan lainnya, sehingga untuk kedepannya dapat dilakukan penelitian tentang implementasi teknologi IoT dalam pembelajaran IPA.
Conceptual Model of Fintech Information System Services Adoption for Impact and Transformation Workers in Vocational Context Hendriadi, Ade Andri; Widiaty, Isma; Kustiawan, Iwan
Eduvest - Journal of Universal Studies Vol. 5 No. 11 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i11.52401

Abstract

This study develops and tests a conceptual model of fintech information systems services adoption for impact and transformation workers in vocational context in Indonesia. Through a mixed-method approach with 618 respondents, the study identified complex interactions between individual characteristics, organizational factors, and barriers to adoption, as well as their effects on system quality and adoption impacts. The results showed that individual characteristics were the strongest determinants (β = 0.684) of fintech adoption, followed by organizational factors (β = 0.572) and barriers to adoption (β = -0.428). System quality (β = 0.745) acts as the main mediator, influencing the level of use that impacts four dimensions: individual (β = 0.682), organizational (β = 0.624), process (β = 0.594), and technological (β = 0.568). This model offers a comprehensive framework for understanding and managing fintech adoption in a vocational environment, with significant implications for practitioners, organizations, and policymakers.
Hybrid Database Architecture for Retail Big Data Analytics: PostgreSQL vs MongoDB Performance Analysis Noor, Tubagus Firman Iskandar; Nugraha, Eki; Maknun, Johar; Kustiawan, Iwan; Shaymanov, Farxod Xushbakovich
International Journal of Electronics and Communications Systems Vol. 5 No. 2 (2025): International Journal of Electronics and Communications System
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijecs.v5i2.28108

Abstract

The rapid growth of retail big data has intensified the challenge of selecting a database architecture that can balance analytical performance and resource efficiency, particularly in data-intensive retail environments. This study aims to conduct a comparative performance analysis between PostgreSQL 16 and MongoDB 8.0 in the context of implementing big data analytics in the retail industry. An experimental quantitative approach is used, utilizing a large-scale, real-world retail sales and inventory dataset to benchmark PostgreSQL 16 and MongoDB 8.0 across a range of representative analytical workloads. Results show MongoDB is 28-31% faster in query processing, but PostgreSQL is 13-17% more efficient in resource usage (CPU, RAM, Storage I/O) and requires 6x less storage. These results indicate that MongoDB consistently achieves faster execution times for read-intensive analytical queries, especially in large-scale aggregation operations. Conversely, PostgreSQL exhibits superior storage efficiency and lower computational resource consumption due to its normalized relational architecture. These findings reveal a fundamental trade-off between analytical speed and infrastructure efficiency in retail big data systems. This research contributes to the development of hybrid data architecture strategies for big data analytics in the retail industry, supporting performance optimization and informed decision-making in data-rich environments
Co-Authors Aa Juhanda Aay Susilawati Ade Andri Hendriadi Ade Gafar Abdullah, Ade Gafar Agus Setiawan Al Azhima, Silmi Ath Thahirah Al Qibtiya, Mariya Al Qibtya, Mariya Alam, Sahirul Andoh, Prince Yaw Anggarda, Mohammad F Anjar Asmara Arjuni Budi Pantjawati Ath Thahirah Al Azhima, Silmi Bandiyah Sri Aprillia Budi, Agus Heri Setya Darmawan, Dwicky Deni Irawan Diana Rochintaniawati Didin Wahyudin Didin Wahyudin Dwicky Darmawan Eki Nugraha Emmanuel Obobi Tetehfio Erik Haritman Fauzan, Mochamad Rizal Hakim, Nurul F A Hasbullah Hasbullah Ida Kaniawati Imanudin, Rizkia Fahmi Noviansyah Isma Widiaty Johar Maknun, Johar Kaniarudi, Neneng Puspita Khairi, Saiqa Fatur Khan, Muhammad Lookman Hossain Kurnia Santi Lilik Hasanah Lubis, Fahmi Zulkifli Lukman Hakim, Dadang Maharbid, Allan Anugraha Maman Somantri Mandasari, R Deasy Mariya Al Qibtiya Mohamad Iqbal Rosyadi Mohamad Ramdhani Muhammad Adli Rizqulloh Muhammad Randi Alwi Nendi Suhendi Syafei Neris Peri Ardiansyah Noor, Tubagus Firman Iskandar Nurjanah, Deasy R Nurul Fahmi Arief Hakim Nuryani Rustaman Quinera Joshua R. Ajeng Herty P Resa Pramudita Roer Eka Pawinanto, Roer Eka Ronald Adrian, Ronald Salsabilla Dwita Putri Shaymanov, Farxod Xushbakovich Silmi Ath Thahirah Al Azhima Siscka Elvyanti Siscka Elvyanti Siscka Elvyanti, Siscka Susilawati, Aay Tettehfio, Emmanuel Obobi Wasimudin Surya Saputra Yadi Mulyadi Yarmanto, Edhy Sri Yoyo Somantri