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    Zentra: Meja Belajar Pintar Portabel Berbasis Iot Untuk Gen Z

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    The advancement of technology has significantly influenced future generations, including Generation Z. This generation is highly dependent on technology, especially in learning activities. However, learning effectiveness is often disrupted by environmental factors such as room temperature, poor lighting, and back pain due to prolonged static sitting posture. This research aims to design a portable smart study desk based on the Internet of Things to improve learning comfort and productivity. The system is developed using an ESP32 microcontroller connected to several sensors. The FSR402 sensor detects arm pressure as an indicator of sitting posture, the DHT22 monitors temperature and humidity, and the LDR senses ambient lighting. Additionally, the desk is equipped with a cooling fan controllable via smartphone. Sensor data is transmitted in real-time to the Blynk platform and supported by a notification system to alert the user. Accuracy testing was conducted using reference tools such as a thermohygrometer and a luxmeter, along with evaluating the effectiveness of the laptop cooling feature. The results show that the system can provide accurate environmental data and support more productive and effective study sessions. These findings highlight the potential for further development of adaptive IoT-based learning tools tailored to modern user needs.  Pertumbuhan teknologi membuat perubahan besar pada generasi yang akan lahir, termasuk generasi Z. Generasi ini dikenal sangat bergantung kepada teknologi, terutama dalam aktivitas belajar. Namun, efektivitas belajar sering terganggu oleh faktor lingkungan seperti suhu ruangan, dan pecahayaan yang tidak nyaman, serta keluhan sakit pinggang akibat duduk dengan posisi konstan dalam waktu lama. Penelitian ini bertujuan untuk merancang meja belajar pintar portabel yang berbasis Internet of Things guna meningkatkan kenyamanan dan produktivitas belajar. Sistem dirancang menggunakan ESP32 yang terhubung dengan beberapa sensor. Sensor FSR402 untuk mendeteksi tekanan lengan pengguna sebagai indikator untuk posisi duduk, DHT22 untuk memantau suhu dan kelembaban, dan LDR untuk memantau kondisi pencahayaan ruangan yang digunakan untuk belajar. Kemudian meja ini juga dilengkapi cooling fan yang bisa dikendalikan melalui smartphone. Data dari sensor dikirim secara real-time ke platform Blynk dan dilengkapi dengan sistem notifikasi untuk memberi peringatan kepada pengguna. Pengujian dilakukan terhadap akurasi sensor menggunakan alat pembanding seperti thermohygrometer dan luxmeter, serta analisis efektivitas fitur pendingin laptop. Hasil menunjukkan bahwa sistem mampu memberikan informasi lingkungan belajar yang akurat dan mendukung kegiatan belajar yang lebih produktif dan efektif. Temuan ini menunjukkan potensi pengembangan lebih lanjut pada perangkat belajar berbasis IoT yang adaptif, dan responsif terhadap kebutuhan pengguna yang modern. &nbsp

    PENGEMBANGAN DAYA TARIK WISATA KEBUGARAN CIPANAS SUBANG DI KABUPATEN KUNINGAN

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    Cipanas Subang merupakan salah satu daya tarik wisata di Kabupaten Kuningan yang memiliki daya tarik utama berupa tempat pemandian air panas alami. Tingkat kunjungan wisatawan di Cipanas Subang cenderung tidak stabil, hanya ramai ketika di akhir pekan atau di hari libur saja. Tujuan penelitian ini dibuat untuk menggambarkan strategi pengembangan Cipanas Subang sebagai daya tarik wisata kebugaran di Kabupaten Kuningan. Hasil penelitian menjelaskan bahwa Cipanas Subang memiliki potensi yang masih bisa dikembangkan lagi dengan menerapkan beberapa strategi pengembangan melalui analisis matriks SWOT. Terlebih, memiliki konsep wisata kebugaran yang mampu menjadi ikon menarik bagi calon wisatawan

    Buku Interaktif: Pendekatan Desain untuk Meningkatkan Kesadaran Mitigasi Bencana pada Anak Usia DinI

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    Surabaya as the second-largest metropolitan area in Indonesia has a long history of facing various natural disasters. However, young children in early childhood often lack the knowledge and understanding to effectively respond to these disasters, making them particularly vulnerable. To address this issue, a design approach was adopted to create interactive and engaging materials focused on disaster awareness specifically customized for early childhood. These materials, in the form of interactive books, utilize child-friendly language, illustrations, and activities to educate children about different types of disasters, their potential risks, and appropriate safety measures. This research employs a qualitative method. Data collection techniques include literature review, interviews, surveys, observations, and documentation methods, which are subsequently analyzed using a descriptive method with qualitative analysis. The Fishbone diagram is used for data presentation. Furthermore, the design is conducted with a design thinking approach. The design process involved collaboration between researchers, teachers, and the Surabaya City Disaster Management Agency (BPBD Surabaya) to ensure the materials were relevant, culturally appropriate, and aligned with local disaster preparedness guidelines. The interactive books were piloted in several early childhood education centers in Surabaya, and their impact on children's disaster awareness was evaluated through pre- and post-assessment surveys. The findings of this study demonstrate a significant improvement in children's knowledge and understanding of disasters, as well as their ability to identify and respond to potential risks. Through these interactive books, young children are provided with knowledge and skills that can foster a sense of ownership and resilience in facing future disasters. The findings of this research offer valuable insights for teachers, policymakers, and practitioners seeking effective strategies to enhance disaster awareness among young children in their communities.Surabaya sebagai wilayah metropolitan terbesar kedua di Indonesia memiliki sejarah panjang dalam menghadapi berbagai bencana alam. Namun, anak-anak usia dini seringkali kurang memiliki pengetahuan dan pemahaman untuk merespons bencana-bencana ini secara efektif dan menjadikan mereka manjadi sangat rentan terdampak. Untuk mengatasi masalah ini, pendekatan desain diadopsi untuk membuat materi interaktif dan menarik yang berfokus pada kesadaran mitigasi bencana yang khusus disesuaikan untuk anak usia dini. Materi-materi tersebut disusum dalam bentuk buku interaktif yang menggunakan bahasa, ilustrasi, dan aktivitas yang ramah anak untuk mendidik anak-anak tentang berbagai jenis bencana, potensi risikonya serta langkah-langkah keselamatan yang tepat. Penelitian ini menggunakan metode kualitatif. Teknik pengumpulan data meliputi studi pustaka, wawancara, survei, observasi, dan metode dokumentasi, yang selanjutnya dianalisis menggunakan metode deskriptif dengan analisis kualitatif. Diagram Tulang Ikan digunakan untuk penyajian data. Selanjutnya perancangan dilakukan dengan pendekatan design thought. Proses perancangan melibatkan kolaborasi antara peneliti, guru, dan Badan Penanggulangan Bencana Kota Surabaya (BPBD Surabaya) untuk memastikan materi relevan, sesuai budaya, dan selaras dengan pedoman kesiapsiagaan bencana setempat. Buku-buku interaktif ini telah diujicobakan di beberapa pusat pendidikan anak usia dini di Surabaya, dan dampaknya terhadap kesadaran bencana anak-anak dievaluasi melalui survei sebelum dan sesudah penilaian. Temuan penelitian ini menunjukkan peningkatan yang signifikan dalam pengetahuan dan pemahaman anak-anak tentang bencana, serta kemampuan mereka untuk mengidentifikasi dan merespons potensi risiko. Melalui buku-buku interaktif ini, anak-anak dibekali dengan pengetahuan dan keterampilan yang dapat menumbuhkan rasa memiliki. dan ketahanan dalam menghadapi bencana di masa depan. Temuan penelitian ini menawarkan wawasan berharga bagi para guru, pembuat kebijakan, dan praktisi yang mencari strategi efektif untuk meningkatkan kesadaran bencana di kalangan anak-anak muda di komunitas mereka

    On the Interaction between Trichogramma chilonis and Jatiroto Flies with Stem Borer Pests in Sugarcane Plantation

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    Pests in sugarcane plantations are a major cause of damage, which could lead to severe damage to the crop, reduction of sugar quality, and significant economic loss. One of the major pests known in sugarcane plantations is stem borer (Chilo sacchriphagus), which attacks the canes. Two primary parasitoids, Trichogramma chilonis, which predates the stem borer eggs, and the Jatiroto fly (Diatraeophaga striatalis), which predates the stem borer larvae, are discussed here. This paper presents a time-dependent ten-dimensional dynamical mathematical model consisting of four-stage stem borer compartments, three-stage Trichogramma compartments, and three-stage Jatiroto compartments. Simulations are presented to describe the phenomenon of Trichogramma predation, Jatiroto predation, and simultaneous predation of both predators. It is shown that the release rate of each predator and a combined release of two predators can significantly reduce the infestation levels to a tolerable level for sugarcane production. The oscillatory dynamics of the stem borers and the Jatiroto flies affected the release timing strategy based on the level of infestation in the field. The results are expected to help us better understand the predator-prey phenomenon in the field and improve the forecasting of infestations in the field

    Penalaan Pengontrol PID untuk Kecepatan Kecepatan Motor DC pada Robot Pengangkat Anak Timbangan

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    The rapid development of technology allows human work to be replaced by robot technology. The most frequently used robot in industry is the robot arm. The robot arm can imitate the human arm's characteristics, so it is often used to help humans lift and move goods. With this principle, the robot arm can be used as a weight-lifting robot to aid in calibrating electronic scales. This paper analyzes the control of the DC motor on a weighing-scale lifting robot arm by optimizing the overshoot with PID (Proportional - Integral - Derivative) control. The PID Control test results on the DC motor rotation are stable at 100 rpm with a steady state error of 0%. The system's response to the DC motor has a settling time of 1,26 s and an overshoot of 2%.Perkembangan teknologi yang semakin pesat memungkinkan pekerjaan manusia tergantikan oleh teknologi robot. Robot yang paling sering digunakan dalam industri adalah robot lengan. Robot lengan dapat meniru ciri-ciri lengan manusia sehingga sering digunakan untuk membantu manusia mengangkat dan memindahkan barang. Dengan prinsip tersebut, robot lengan dapat digunakan sebagai robot pengangkat beban untuk membantu kalibrasi timbangan elektronik. Penelitian ini menganalisis pengontrolan motor DC pada bagian alas robot pengangkat anak timbangan dengan melakukan minimisasi overshoot dengan kontrol PID (Proporsional – Integral – Derivatif). Hasil pengujian Kontrol PID pada pengontrolan kecepatan motor DC tunak pada putaran 100 rpm dengan kesalahan tunak sebesar 0%. Respon sistem terhadap motor DC mempunyai settling time sebesar 1,26s, dan overshoot sebesar 2%

    Normal Form of Periodic FPU Chain of Four Particles with Alternating Masses

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    The periodic Fermi-Pasta-Ulam (FPU) chain is a Hamiltonian system modeling a one-dimensional chain of oscillators with a periodic boundary condition and nearest-neighbor interactions. While previous studies typically restricted the potential function in the Hamiltonian to cubic or quartic terms, this work considers a more general setting. Our aim is to demonstrate how Birkhoff-Gustavson normalization, combined with symplectic transformations, can be systematically applied to study the dynamics of Hamiltonian systems. We focus on the periodic FPU chain of four particles with alternating masses . The presence of discrete symmetries in phase space simplifies the resulting normal form and reduces the system to one degree of freedom. The dynamics of this system depend on the parameter . We focus on two cases,  and , which correspond to different classes of resonances. These cases exhibit topologically distinct phase space structures, which are classified in the final analysis. The results highlight the periodic FPU chain as a rich and tractable model for studying resonances and Hamiltonian dynamics in systems with symmetry and variable mass configurations

    AI-enhanced Cybersecurity Risk Assessment with Multi-Fuzzy Inference

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    The pace and complexity of modern cyber-attacks expose the limits of traditional ‘impact × likelihood’ risk matrices, which compress uncertainty into coarse categories and miss inter-dependent threat dynamics. We propose a three-layer multi-fuzzy inference system (MFIS) that models general infrastructure vulnerabilities and access-control weaknesses separately, then fuses them into a single, continuous 0-25 risk score. The framework was validated on three representative scenarios—catastrophic/continuous, serious/frequent, and minor/few attacks—encompassing sixteen threat criteria. Compared with a crisp 5 × 5 matrix, MFIS cut mean-absolute error and root-mean-square error by 90 to 99% and reproduced expert-panel judgments to within 0.55 points across all scenarios. Nine independent practitioners rated the prototype highly on usability (100% agreement), credibility (100%) and actionability (100%), with 78% willing to recommend adoption. These results demonstrate that MFIS delivers fine-grained, expert-aligned assessments without adding operational complexity, making it a viable drop-in replacement for time- or resource-constrained organizations. By capturing partial memberships and cross-domain interactions, MFIS offers a more faithful, adaptive and explainable basis for prioritizing cyber-defense investments and can be extended to emerging threat domains with modest rule-base updates

    Living with the Past in the Present – Korean Furniture and Home Décor Design at the Milan Design Week

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    This article traces the historical outline of the development of design in South Korea. Foreign policies promoting Korean design will be discussed as evidence of the importance of K-design exports and to introduce the collaboration between Italian and Korean designers at Salone del Mobile. In 2023, the Korean government’s direct participation in Milan Design Week marked the 11th year of the Korea Craft and Design Foundation’s (KCDF) participation in the Italian international fair. Each year, the foundation curates an exhibition showcasing Korean furniture and home décor which exemplify the fusion of traditional Korean craftsmanship and contemporary design sensibilities. Notably, for the 60th anniversary of the Salone del Mobile in 2022, KCDF planned a special exhibition bridging Italian and Korean design cultures. This initiative facilitated a direct collaboration between Italian designer Francesco Faccin and Korean artisan Hur Sung-Ja, resulting in the realization of three projects. These projects serve as a benchmark for the reimagining and internationalization of traditional Korean crafts, epitomizing the concept idea of K-crafts. This article innovatively investigates the topic of Korean traditional crafts, highlighting the Korean government’s domestic policies aimed at promoting internationalization. Such policies seek to enhance Korean influence globally and strategically shape the future of K-Crafts

    Imaginary Scapes: The Reinvocation of Memory in Human-AI Artistic Collaboration

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    The rise of generative AI has significantly transformed the creative process, altering artistic workflows and redefining the human role in artmaking. While some artists resist this shift, engaging with machine intelligence has become increasingly inevitable in today’s digital landscape. This paper explores the disruptive impact of artificial intelligence on artistic practices and how such disruption may benefit rather than hinder creativity. Grounded in Jean Baudrillard’s concept of the hyperreal—particularly his theory of third-order simulation—it examines how AI generates realities that never existed but are perceived as real. These pseudo-realities challenge traditional notions of authenticity and memory in art. Through a performative research method and interdisciplinary approach, the author proposes the concept of ‘re-invocation’—a process of reclaiming the authority of human memory in collaboration with AI. This process is structured in iterative stages involving both human intention and algorithmic intervention. The study demonstrates that incorporating non-human memory has become an unavoidable aspect of art production in the generative AI era. Ultimately, it argues that re-invoking human memory through AI collaboration may offer a critical and innovative foundation for contemporary artistic expression

    Etika dan Desain Kerja Berpusat pada Manusia dalam Integrasi AI pada Ekosistem Platform Industry 5.0

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    This study proposes a conceptual-analytical framework for human-centric AI integration in Industry 5.0 by employing a Systematic Literature Review (SLR) and Applied Framework Analysis (AFA). A structured PRISMA-based screening process was applied to ensure transparency in identifying and selecting 48 scholarly sources that inform the framework. The review reveals three foundational dimensions enabling responsible AI adoption: ethical governance grounded in transparency and accountability, inclusive innovation addressing bias and digital inequality, and futureready human capital oriented toward capability enhancement. These dimensions are synthesized into a sociotechnical framework that bridges normative humancentric principles with organizational practice. To demonstrate its analytical utility, the framework is applied to Gojek Indonesia as an illustrative case using publicly available secondary information, without claiming empirical verification or access to proprietary algorithmic processes. The analysis indicates partial alignment between Gojek’s documented initiatives and human-centric principles, particularly in interface transparency, communication design, and worker-support mechanisms, while also exposing persistent tensions related to power asymmetry and limited algorithmic visibility. The study concludes that although secondary evidence suggests opportunities for human-centric implementation, comprehensive evaluation requires multi-method empirical research capable of capturing lived experiences and internal decision-making structures.Penelitian ini mengusulkan sebuah kerangka konseptual-analitis untuk integrasi AI berpusat pada manusia dalam konteks Industri 5.0 melalui Systematic Literature Review (SLR) dan Applied Framework Analysis (AFA). Proses SLR dilakukan secara transparan menggunakan alur seleksi berbasis PRISMA untuk menyaring 48 sumber ilmiah yang menjadi dasar penyusunan kerangka. Hasil sintesis literatur mengidentifikasi tiga dimensi utama yang memungkinkan penerapan AI yang bertanggung jawab, yaitu tata kelola etis yang menekankan transparansi dan akuntabilitas, inovasi inklusif yang menangani bias serta ketimpangan digital, dan penguatan modal manusia yang berorientasi pada peningkatan kapabilitas. Ketiga dimensi tersebut disusun ke dalam sebuah kerangka sosioteknologi yang menjembatani prinsip normatif dengan praktik organisasi. Untuk menunjukkan kegunaan analisis, kerangka tersebut diterapkan pada kasus ilustratif Gojek Indonesia dengan menggunakan informasi sekunder yang tersedia secara publik, tanpa mengklaim verifikasi empiris maupun akses terhadap proses algoritmik internal. Hasil analisis menunjukkan adanya keselarasan parsial antara praktik terdokumentasi Gojek dan prinsip AI berpusat pada manusia, khususnya pada aspek transparansi antarmuka, komunikasi sistem, dan dukungan bagi pekerja, sekaligus mengungkap ketegangan terkait asimetri kekuasaan dan keterbatasan visibilitas algoritmik. Penelitian ini menyimpulkan bukti sekunder menunjukkan peluang penerapan prinsip human-centric, namun evaluasi komprehensif tetap memerlukan penelitian empiris multimetode yang menangkap pengalaman pengguna serta struktur pengambilan keputusan internal

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