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Modul Pembelajaran Multimodal Berbasis Teknologi Augmented Reality untuk Meningkatkan Literasi Informasi dan Digital Siswa
Get PDFThis study investigates the multimodal representation in the Grade 10 Bahasa Indonesia textbook published under the Kurikulum Merdeka, focusing on how various semiotic modes verbal, visual, typographic, layout, and color are functionally integrated to support meaning-making and student comprehension. Employing a qualitative content analysis method, data were collected through document analysis and analyzed using a multimodal categorization instrument. This instrument classified modes by type, communicative function, and modal integration. The analysis involved identifying modes on selected pages, evaluating the communicative function of each mode, and interpreting the relationships among modes, categorized as complementary, redundant, dominant, or incoherent, to assess cohesion and pedagogical relevance. The results show that visual modes are the most dominant, with typographic and layout features providing emphasis and structural clarity. Complementary relations were most frequent, demonstrating a high degree of synergy between modes in conveying meaning. Instances of redundancy, dominance, or incoherence were minimal but signal areas for improvement. The study concludes that the textbook reflects a pedagogical shift toward multimodal literacy aligned with 21st-century competencies. Practically, the findings inform educators and textbook designers on how to optimize visual-verbal coordination, design layout more coherently, and utilize typography and color meaningfully to foster more inclusive, engaging, and effective language instruction.Penelitian ini mengkaji representasi multimodal dalam buku teks Bahasa Indonesia kelas X yang diterbitkan dalam kerangka Kurikulum Merdeka, dengan fokus pada bagaimana berbagai moda semiotik (verbal, visual, tipografi, tata letak, dan warna) diintegrasikan secara fungsional untuk mendukung pemaknaan dan pemahaman siswa. Penelitian ini menggunakan metode analisis isi kualitatif, dengan pengumpulan data melalui studi dokumen dan dianalisis menggunakan instrumen kategorisasi multimodal. Instrumen ini mengklasifikasikan moda berdasarkan jenis, fungsi komunikatif, dan bentuk integrasi antarmoda. Proses analisis meliputi identifikasi moda pada halaman-halaman terpilih, evaluasi fungsi komunikatif tiap moda, serta interpretasi hubungan antarmoda—dikategorikan sebagai hubungan komplementer, redundan, dominan, atau tidak koheren—untuk menilai kohesi dan relevansi pedagogis. Hasil penelitian menunjukkan moda visual paling dominan, sedangkan unsur tipografi dan tata letak berperan dalam penekanan dan kejelasan struktur informasi. Hubungan komplementer paling banyak ditemukan menunjukkan sinergi tinggi antarmoda dalam menyampaikan makna. Beberapa kasus hubungan redundan, dominan, dan tidak koheren ditemukan dalam jumlah kecil, namun mengindikasikan perlunya perbaikan dalam aspek tata letak dan koordinasi antarmoda. Penelitian ini menyimpulkan buku teks mencerminkan pergeseran pedagogis menuju literasi multimodal yang sejalan dengan kompetensi abad ke-21. Secara praktis, temuan ini memberikan panduan bagi pendidik dan perancang buku teks untuk mengoptimalkan koordinasi visual verbal, merancang tata letak yang lebih koheren serta memanfaatkan tipografi dan warna secara bermakna guna menciptakan pembelajaran bahasa yang lebih inklusif, menarik, dan efekti
REVIEW: PENDEKATAN METABOLOMIK DALAM EKSPLORASI TANAMAN ANTIHIPERTENSI: PROFIL SENYAWA BIOAKTIF DAN PERUBAHAN METABOLIT ENDOGEN
Get PDFMetabolomic techniques represent an analytical strategy that supports the discovery of natural product-based drugs, including antihypertensive agents. This article aims to review various metabolomic techniques and approaches used to identify and characterize bioactive compounds in medicinal plants, highlighting two primary strategies: (1) plant metabolite profiling to identify potential bioactive biomarkers, and (2) analysis of endogenous metabolite changes in biological samples from hypertensive models treated with plant-based interventions. Literature was searched through databases such as PubMed and Google Scholar using relevant keywords. This review focuses on analytical methods such as LC-MS, NMR, and HPLC, data processing strategies including PCA, PLS-DA, and OPLS, and the integration of metabolomic techniques in the validation and exploration of plant-derived antihypertensive compounds. The findings demonstrate that metabolomic approaches significantly contribute to accelerating natural drug discovery by identifying biomarkers and elucidating mechanisms of action through related endogenous metabolic pathways. Teknik metabolomik merupakan suatu strategi analisis yang mendukung penemuan obat berbasis bahan alam, termasuk untuk antihipertensi. Artikel ini bertujuan untuk meninjau berbagai teknik dan pendekatan metabolomik yang digunakan untuk mengidentifikasi dan mengkarakterisasi senyawa bioaktif dalam tanaman obat, serta dua pendekatan utama dalam penerapannya: (1) profiling metabolit tanaman untuk mengidentifikasi biomarker senyawa bioaktif, dan (2) analisis perubahan metabolit endogen pada sampel biologis dari model hipertensi setelah perlakuan dengan tanaman hipertensi. Pencarian literatur dilakukan melalui basis data PubMed dan Google Scholar dengan kata kunci yang relevan. Fokus utama tinjauan ini adalah pada metode analisis yang digunakan seperti LC-MS, NMR, dan HPLC, strategi pengolahan data seperti PCA, PLS-DA, dan OPLS, serta integrasi teknik metabolomik dalam validasi dan eksplorasi senyawa antihipertensi dari tumbuhan. Hasil tinjauan menunjukkan bahwa teknik metabolomik memberikan kontribusi signifikan dalam mempercepat penemuan obat berbasis alam melalui identifikasi biomarker, dan penelusuran mekanisme kerja melalui jalur perubahan endogen yang terlibat.
Rancang Bangun Sistem Monitoring Temperatur Dan Kelembapan Berbasis Internet of Things Untuk Rantai Dingin Penyimpanan Vaksin
Get PDFTemperature and humidity monitoring are important aspects of the cold chain vaccine storage system for preserving quality. Manual temperature recording risks missing readings, which compromise the vaccine quality. Excessive humidity may cause condensation on packaging, while very low humidity can reduce the stability of certain vaccines. This research aimed to design and build an Internet of Things (IoT) monitoring system with real-time notifications and website integration to support the vaccine storage cold chain system. The system used an ESP32 microcontroller, an SHT31 sensor, and dual storage (Firebase and SD Card). Development utilized Arduino IDE, Next.js framework, Telegram bot, Firebase, and Visual Studio Code editor. Tests included accuracy measurement, received signal strength indicator (RSSI) measurement, notification and data monitoring for several days. Performance was tested in Bio Farma's cold room, freezer, and walk-in cooler at Politeknik Negeri Bandung to represent various vaccine storage conditions. The results show that the system records data in real-time with a high level of accuracy (temperature error <1%, RH ±15%), low data loss (6 out of 426 data in 10 days), and operating endurance of ±3 hours. Tests proved the system to be an accurate, automated monitoring system for the cold chain vaccine storage.Monitoring temperatur dan kelembapan merupakan aspek penting pada sistem rantai dingin penyimpanan vaksin untuk menjaga kualitas. Pencatatan temperatur secara manual beresiko pembacaan suhu terlewat yang merusak kualitas vaksin. Kelembapan yang terlalu tinggi dapat menimbulkan kondensasi pada kemasan, sedangkan kelembapan yang terlalu rendah dapat mengurangi stabilitas beberapa jenis vaksin. Penelitian ini merancang sistem monitoring temperatur juga kelembapan berbasis Internet of Things (IoT) dengan notifikasi secara aktual serta integrasi website untuk mendukung sistem rantai dingin penyimpanan vaksin. Sistem menggunakan mikrokontroler ESP32, sensor SHT31, dan penyimpanan ganda (Firebase dan Kartu SD). Selain itu, Arduino IDE, framework Next.js, bot telegram, Firebase, serta editor Visual Studio Code digunakan untuk mengembangkan dan menjalankan secara keseluruhan. Metode pengujian mencakup pengukuran akurasi, pengukuran received signal strength indicator (RSSI), serta pemantauan notifikasi dan data selama beberapa hari. Uji kinerja dilakukan di cold room Bio Farma, freezer, dan walk-in cooler Politeknik Negeri Bandung untuk merepresentasikan berbagai kondisi penyimpanan vaksin. Hasil menunjukkan sistem mampu mencatat data secara aktual dengan tingkat akurasi tinggi (error suhu < 1%, RH ±15%), kehilangan data rendah (6 dari 426 data dalam 10 hari), dan daya tahan operasi ±3 jam. Pengujian menunjukkan bahwa sistem terbukti menjadi sistem pemantauan otomatis yang akurat untuk rantai dingin penyimpanan vaksin
Comparison of Body Composition between Raiders and Defenders in Kabaddi: Muscle Mass and Fat Percentage
Get PDFKabaddi is a complex game with high intensity, where each player must have good
aerobic and anaerobic capacity. Considering the playing position, body
composition needs to be taken into account, because ideal body composition is a
determining factor in an athlete's performance. This study aims to determine the
body composition of kabaddi players and compare the characteristics of muscle
mass (kg) and fat percentage (%) between raiders and defenders. This study uses a
comparative quantitative method with a sample size of 19 kabaddi athletes from
East Java. Body composition measurements were taken using InBody H20, which
measures muscle mass and fat percentage. Data analysis was performed using the
t-test with the help of SPSS software. The results of this study showed that there was
no significant difference in muscle mass between raiders and defenders (p=0.223),
and there was no significant difference in fat percentage (p=0.930). The conclusion
is that even though the raider and defender positions have different roles, the
balance between muscle mass and body fat percentage is one of the factors that
supports optimal performance. Due to the complementary and dynamic playing
patterns in kabaddi, athletes from both positions have almost equivalent physical
requirements, which leads to similar body compositions.
Keywords: kabaddi, body composition, muscle mass, fat percentageOlahraga kabaddi adalah permainan yang kompleks dengan permainan intensitas tinggi, dimana setiap pemain harus memiliki kapasitas aerobik dan anaerobik dengan baik. Melihat posisi bermain tersebut komposisi tubuh perlu diperhatikan, karena komposisi tubuh yang ideal merupakan faktor penentu kinerja atlet. Penelitian ini bertujuan untuk mengetahui komposisi tubuh pemain kabaddi dan membandingkan karakteristik massa otot (kg) dan persentase lemak (%) yang menempati posisi raider dan defender. Penelitian ini menggunakan metode kuantitatif komperatif dengan jumlah sampel 19 atlet kabaddi jatim. Pengukuran komposisi tubuh menggunakan InBody H20 yang mencakup massa otot dan persentase lemak. Analsisis data dilakukan menggunakan uji t dengan bantuan software SPSS. Hasil penelitian ini menunjukkan massa otot antara raider dan defender tidak terdapat perbedaan yang signifikan (p=0,223), bahkan pada persentase lemak tidak ada perbedaan yang signifikan (p=0,930). Kesimpulannya adalah meskipun posisi raider dan defender memiliki peran yang berbeda, keseimbangan antara massa otot dan persentase lemak tubuh menjadi salah satu faktor untuk mendukung performa yang optimal. Dikarenakan pola permainan yang saling melengkapi dan dinamis dalam kabaddi menyebabkan atlet dari kedua posisi ini memiliki kebutuhan fisik yang hampir setara, yang mengarah pada komposisi tubuh yang serupa.
Kata kunci : kabaddi, komposisi tubuh, massa otot, presentase lemak
Region-Specific Thermal Stability of Kelulut Honey from Indonesia: Implications for Quality and Processing
Get PDFKelulut honey, produced by stingless bees (Trigona spp.), is valued for its nutritional and medicinal benefits. However, thermal treatment can alter its physicochemical properties, affecting quality and functionality. This study assessed the impact of heating at 65 °C and 121 °C for 5 minutes on Kelulut honey from seven regions in Indonesia, analyzing changes in color intensity, total dissolved solids (TDS), solubility, viscosity, water content, hydroxymethylfurfural (HMF), and acidity. At 65°C, solubility improved (e.g., Garut: 22.7 → 84.7) and TDS increased (Bogor: 77.0 % → 79.5 %), while 121 °C treatment led to significant HMF accumulation (mean: 25.91 → 40.16 mg/kg) and viscosity fluctuation. Klaten honey uniquely darkened at 121 °C, indicating regional compositional differences. Acidity dropped by up to 21% in Sumedang and Garut, while Bangka maintained stability. This study demonstrates that thermal treatment significantly influences the physicochemical quality of Kelulut honey and underscores the need for region-specific processing guidelines to maintain product integrity for food and medicinal applications, and that HMF, viscosity, and TDS could serve as reliable markers for assessing thermal effects in honey
Securing IoT-Cloud Applications with AQ-KGMO-DMG Enhanced SVM for Intrusion Detection
Get PDFIn contemporary society, the Internet has evolved into an indispensable facet of daily life, serving myriad functions across various domains. Intrusion detection, as a cornerstone of information security, plays a pivotal role in fortifying networks against potential threats, emphasizing the necessity for robust and reliable methods capable of discerning and mitigating network vulnerabilities effectively. In this work, a pioneering network intrusion detection model is introduced, leveraging Adaptive Quantum-Inspired KGMO with Dynamic Molecular Grouping (AQ-KGMO-DMG) for feature selection and employing Simplified Support Vector Machines (SVM) for the classification of intrusion data. The utilization of the UNSW-NB15 dataset serves as the litmus test for evaluating the efficacy of the developed intrusion detection model. Notably, this approach enhances the accuracy in categorizing classes with minimal instances while concurrently mitigating the false alarm rate (FAR). A notable innovation in this methodology involves the transformation of raw traffic vector data into a visual representation, thereby reducing computational costs significantly. To reduce the computation cost further, the raw traffic vector data is converted into picture format. The experimental findings showed that the proposed model performed better than conventional techniques in terms of FAR, accuracy, and computation cost
A Design Study of Sonic Crystal Technology as An Iconic Noise Mitigation Barrier in the Environment of Santa Maria Fatima Church in Magelang
No full textSacred buildings hold different significance for people based on their religious or spiritual beliefs. Many individuals use such buildings for personal or communal prayer, worship, and religious ceremonies. Silence is crucial in creating a peaceful environment that fosters introspection and spiritual connection. However, in recent years, the use of technology has become ubiquitous and has brought about concerns regarding noise pollution, especially from traffic. This has led to the development of new technologies, such as sonic crystals, proposed for use as acoustic barriers to mitigate this problem. Sonic crystals are structures that can manipulate sound waves, like how regular crystals manipulate light waves. They have unique acoustic properties that make them useful in various applications, such as noise reduction and filtering. However, sonic crystals require sufficient space for installation, and conventionally, the arrangement of sonic crystals are unappealing. This is a challenge for architects to incorporate aesthetically pleasing sonic crystals into the eco-design of sacred buildings without compromising on their values while providing a noise-free environment. Therefore, this paper aims to comprehensively examine the efficacy of Sonic Crystals as a noise attenuation method around sacred buildings, focusing on barrier designs that can also represent church values by using literature review, analysis, and simulation
A Pyrone and Flavonoid Derivatives from Cryptocarya crassinervia and their Inhibitory Properties against Receptor Tyrosine Kinases
Get PDFA new a-pyrone, i.e., cryptocrassinervione (1), and a new flavone glycoside, i.e., kaempferol-3-O-rhamnosyl-2-O-apiofuranoside (4), were isolated from EtOAc extract of Cryptocarya crassinervia leaves. Along with these compounds, two known flavone glycosides, namely afzelin (2) and quercitrin (3), were also isolated. The structures of the new compounds were determined based on NMR and mass spectral data. Compounds 1–4 were examined against eight receptor tyrosine kinases (RTKs) (EGFR, HER2, HER4, IGF1R, InsR, KDR, PDGFRα, and PDGFRβ), which showed that these compounds were moderately active against EGFR, with inhibition percentages of 55, 49, 41, and 44%, respectively. They were weakly active against HER2, with inhibitions of 17, 20, 18, and 16%, respectively. However, they were not active against the rest of the RTKs. Nevertheless, compounds 1–4 have potency as inhibitors of EGFR
Do Attractions ‘Attract’ Tourists? A Comparative Study Four Destinations Using Travel Career Pattern (TCP) and Tourism Product Taxonomy:
Get PDFThis study aims to explore attractions in four destinations: Australia, Hong Kong, Singapore, and the United Kingdom. The paper sought to answer the following research questions about whether attractions play a different role in attracting travellers or merely satisfying needs. A qualitative research methodology was used to compare different perspectives from four market sources from each destination using the Travel Career Pattern (TCP) theory and tourism product taxonomy. The approach taken in this study is as follows: an exploratory investigation of the existing framework using secondary data from four tourism destinations and market source reports, global tourism statistical reporting data, national tourism organization statistics, consumer trends, travel behaviour, inbound activities, and marketing strategies. The current study found that four existing destinations have their own attractiveness and excellence in pleasure products, human effort, personal search, nature, and business. These results are consistent with previous observational studies in which the role of specific attractions as goal awareness (markers) and motivation (core) is crucial. Each target has its own uniqueness and different roles for different market sources. The generalizability of these results is subject to certain limitations. For example, four destinations and four market sources limit these results. It is recommended that further research be conducted in the following areas to explore more destinations and market sources or, in another case, with the primary data collection for the travellers visiting the destination
Eksplorasi Pengalaman dan Preferensi Pengunjung terhadap Aplikasi Realitas-Virtual di Museum
No full textIn their traditional role, museums have served the purpose of preserving and educating cultural and historical artifacts. However, as time goes by, museums have grown from their traditional roles into leading-edge, interactive, experiential education platforms for visitors using the latest technological media, such as virtual reality. The study aims to explore the Indonesian museum visitors' perceptions—both positive and negative— toward VR usage in a museum and examine their expectations of an immersive VR experience, particularly related to VR games. The study employs content analysis throughan exploratory descriptive survey to address respondents' demographic background, past museum visit experience, and expectations of VR experience. Data were analyzed using thematic analysis and descriptive statistics, accompanied by a general discussion. Findings reveal the potential for utilizing VR technology at museums. Over the past ten years, there has been an expectation for museums to expand their focus from object preservation and display to visitor engagement, enabling them to create enjoyable and memorable experiences, while maintaining their mission of knowledge dissemination.Mengingat terbatasnya penelitian yang berpusat pada Virtual Reality (VR) untuk budaya dan warisan budaya Indonesia, penelitian ini bertujuan untuk mengeksplorasi persepsi pengunjung museum di Indonesia - baik yang positif maupun negatif - terhadap penggunaan VR di museum dan memeriksa harapan mereka terhadap pengalaman VR yang imersif, terutama yang berkaitan dengan game VR.
Penelitian ini menggunakan analisis konten melalui survei deskriptif eksploratif untuk mengetahui latar belakang demografis responden, pengalaman kunjungan museum sebelumnya, dan ekspektasi terhadap pengalaman VR, khususnya yang berkaitan dengan tema "Museum Bahari." Data dianalisis menggunakan analisis tematik dan statistik deskriptif yang disertai dengan diskusi umum.
Temuan mengungkapkan potensi pemanfaatan teknologi VR di museum. Sejak dekade terakhir, lembaga-lembaga tersebut diharapkan untuk memperluas kepedulian mereka dari melestarikan dan memamerkan objek menjadi melibatkan pengunjung, membantu mereka membuat pengalaman berkesan yang menyenangkan sambil tetap menjaga tujuan mereka untuk penyebaran pengetahuan. Pengalaman VR yang disukai pengunjung di “Bahari Museum” dapat dikategorikan ke dalam tiga kelompok: (1) berlayar; (2) latar sejarah; dan (3) pemandangan bawah laut, dengan preferensi terhadap pengalaman sensorik, hedonis, dan kognitif