12 research outputs found
Augmented Reality-Based Learning Media to Improve Student Motivation and Learning Outcomes
No full textWith the rapid advancement of information technology, it does not necessarily correlate with an equally swift increase in students' interest in the learning experience. Students need proper guidance in the use of information technology to enhance their learning interest, and one type of technology that can be utilized is Augmented Reality (AR). By employing Augmented Reality, it is possible to boost students' interest in the learning experience. In this study, the Action Research (PTK) method is employed to assess students' learning interest using AR technology.The research reveals an improvement in students' scores in the first cycle, with the initial cumulative score of 35% increasing to 40%. Chemistry is chosen as the subject for this study because students tend to achieve lower scores when working on assignments or exams without the integration of information technology in the instructional media.The study emphasizes the significance of incorporating technology, particularly Augmented Reality, to elevate students' learning experiences. In an era marked by the swift evolution of information technology, this research aims to bridge the gap between technological progress and the enhancement of students' learning interests
Proxy-Based Adaptive Transmission of MP-QUIC in Internet-of-Things Environment
No full textWith the growth of Internet of Things (IoT) services and applications, the efficient transmission of IoT data has been crucially required. The IETF has recently developed the QUIC protocol for UDP-based multiplexed and secure transport. The Multipath QUIC (MP-QUIC) is also being discussed as an extension of QUIC in the multipath network environment. In this paper, we propose a proxy-based adaptive MP-QUIC transmission for throughput enhancement in the IoT environment. In the proposed scheme, a proxy device is employed between IoT clients and IoT server to aggregate the traffics of many clients in the access network. The proxy will transport a large among of traffics to the server, adaptively to the network conditions, by using multiple paths in the backbone network. For this purpose, the proxy device employs a path manager to monitor the current network conditions and a connection manager to manage the MP-QUIC connections with the IoT server over the backbone network with multiple paths. For effective MP-QUIC transmission, the proxy will transmit the prioritized packets to the server using the best path with the lowest round-trip time (RTT), whereas the non-prioritized packets are delivered over the other paths for traffic load balancing in the network. From the testbed experimentations with the MP-QUIC implementation and ns-3 simulation modules, we see that the proposed scheme can outperform the normal QUIC (using a single path) and the existing MP-QUIC scheme (using the round-robin policy) in terms of response delay and total transmission delay. Such performance gaps tend to increase as the link delays and packet loss rates get larger in the network
Analisis Pemodelan Busur Api Seri pada Listrik Bertegangan Rendah Berbasis Jaringan Saraf Tiruan
No full textInsiden kebakaran di Kota Surabaya kian meningkat setiap tahunnya. Penyebab utamanya diantaranya adalah akibat hubungan pendek arus listrik. Meskipun listrik merupakan kebutuhan sehari-hari, penggunaan listrik juga dapat menyebabkan bahaya kepada penggunanya jika tidak diperlakukan dengan baik. Salah satu bahaya yang sering terjadi dan menimbulkan kejadian kebakaran adalah peristiwa busur api. Busur api yang sering terjadi tanpa kita sadari adalah busur api seri yang terjadi di dalam selubung isolasi kabel. Maka dari itu, diperlukan sebuah analisa bahaya busur api listrik pada tegangan rendah sehingga keamanan para pengguna jasa listrik dapat tetap terjaga. Arus Arc flash pada tegangan rendah memiliki karakteristik berupa bentuk gelombang yang nilainya tinggi, namun durasi yang relative singkat. Hal ini berakibat pada tidak bereaksinya alat pengaman dalam mengatasi gangguan ini. Dalam tugas akhir kali ini, penulis akan membuat sebuah pemodelan terhadap hambatan arcing pada tegangan rendah. Pemodelan ini menggunakan metode Jaringan Saraf Tiruan yang berfungsi untuk membentuk karakteristik dari bentuk arc flash dengan menentukan nilai hambatan pada tempat terjadinya arcing. Pemodelan dilakukan berdasarkan kasus arc flash pada dua buah elektroda yang dipasang secara seri dalam rangkaian sistem tegangan rendah, dengan variabel beban berbeda-beda. Keluaran dari tugas akhir ini adalah sebuah hambatan arcing pemodelan yang mempunyai nilai MSE < 0,05 jika dibandingkan dengan hambatan arcing hasil percobaan di laboratorium.
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The fire accident in Surabaya is increasing every year. The majority issues was due to short circuit. Even though electricity is useful and needed for every days use, electricity use can cause harm to its user if not treated properly. One of the dangers that often happened and resulting fire is the arc flash phenomenon. Arc flash that happened often without our knowing was the series arc flash that happened inside di insulation cable. Therefore, we need an analysis of the arc flash phenomenon at the lower voltage so that the electrical security of its user can be maintained. Arc flash currents at low voltages characterized by a waveform whose value is high, but relatively short duration. This resulted in not reacting safety device in overcoming this disorder. In this final project, the author will make a model of the arcing resistance at low voltage. This modeling method is Artificial Neural Network which serves to establish the characteristics of arc flash with determining the value of resistance at the scene of the arcing. The modelling is on a case of arc flash on two electrode located series in the low voltage electrical circuit system with variable loads. The output of this thesis is an arcing resistance modelling that have MSE value < 0,05 compared to the arcing resistance results that taken with the experiment in the laboratory
Node-RED dan Robotik pada Sistem Penyiraman Otomatis berbasis IoT
No full textThe Internet of Things (IoT) technology offers great potential in the agricultural sector, especially in the automation of plant irrigation systems. Many farmers face challenges with water use efficiency and real-time land condition monitoring. Manual irrigation systems often lead to water wastage. Currently, many centralized irrigation systems use a one-by-one watering approach, requiring multiple sensors to monitor each plant\u27s condition, making them less efficient. To address this issue, this research developed an automated irrigation system controlled by Node-RED and robotic technology. The system is designed to require only one sensor to monitor the entire agricultural area, while still efficiently distributing water to many plants. Node-RED manages data from soil moisture and environmental temperature sensors, then activates the watering robot to distribute water according to the plants\u27 needs. The system was tested by comparing manual and automatic methods using polybags. The soil moisture sensor sends data to Node-RED, which activates the watering robot when soil moisture falls below a set threshold. Test results show that the automated system can save up to 20% of water usage compared to manual methods, while keeping soil moisture within the optimal range. This system also enables real-time monitoring and control, providing a more efficient, timely, and resource-saving solution
Sustainable aquaculture advancement via WISANGGENI: IoT-centered water quality and energy-efficient monitoring system
No full textAquaculture is one of the fastest-growing food production sectors; however, it faces persistent challenges related to limited water availability, environmental degradation, and production instability caused by inadequate water quality management. To address these issues, the Water Integrated System and Analysis for Sustainable Aquaculture Generation Initiative (WISANGGENI) is proposed as an integrated framework designed to optimize water use, maintain ecological balance, and enhance the long-term sustainability of aquaculture systems. WISANGGENI integrates real-time water quality monitoring, intelligent water treatment, and data-driven decision support into a unified adaptive platform. The system employs Internet of Things (IoT) sensors to continuously monitor key parameters such as temperature, pH, and turbidity, combined with recirculating water and biofiltration technologies to reduce waste and recycle resources. In addition, computational intelligence techniques, including machine learning, fuzzy logic, and predictive modeling, are applied to analyze sensor data and support operational decisions. Fuzzy logic is specifically utilized to manage uncertainty in water quality assessment by converting imprecise sensor inputs into actionable responses, such as aeration control, feeding regulation, and early warning alerts. Through this integrated approach, WISANGGENI improves feeding efficiency, optimizes aeration, reduces disease risk, and lowers freshwater consumption, thereby supporting more resilient, efficient, and environmentally sustainable aquaculture practices
Pencegahan Perundungan Anak Dengan Memanfaatkan Teknologi Digital Studi Kasus UPTD SPF SDN Nangkaan Bondowoso
No full textBullying among students is increasingly prevalent, driven by various factors, including environmental influences and the impact of globalization. This issue poses significant challenges for teachers, who are often expected to monitor all students throughout the school day despite limited resources and time. The aim of this study is to explore effective strategies for preventing bullying in schools by integrating technological and creative approaches. The research employs a mixed-methods approach, combining quantitative analysis of bullying incidents with qualitative data from interviews and observations. The study focuses on the implementation of CCTV technology to enhance student behavior monitoring and prevent bullying incidents. Additionally, it investigates the use of arts-based activities as a means to help students channel excess energy into positive, creative outlets, thus reducing the likelihood of engaging in bullying behavior. The findings suggest that the combination of technological supervision and arts-based interventions significantly reduces the incidence of bullying in schools. The conclusion emphasizes the effectiveness of a holistic approach that incorporates both advanced monitoring tools and emotional support activities, highlighting the potential for these strategies to create a safer and more supportive school environment where students can thrive both emotionally and socially
Hafidh Muhammed b. Omar ai-Imadi and edition critique of his book "Mufradat al-Qurra al-Sab"
No full textBu araştırma, Hafız İmadi'nin (ö. h.783) Mufredatu'l-Kurrai's-Seb'a adlı eserinin tahkikidir. Kitabın başlangıcından İbn Amir eş-Şami müfredesine kadar tahkik edilmiştir. Müellifinin VII. asrın alimlerinden ve disiplininde gözde bir isim olmasından dolayı bu eser, kıraat ilmi hususunda önemli bir eser sayılmaktadır. Çalışmada kariler ayrı bir şekilde incelenmektedir, ihtilaf ve ittifak yönleri ortaya koyulmaktadır. Yapıtta özellikle usulde ilkeleri ihlal etmeyen bir özetleme/ihtisar, ferşte gerekli olan şekilde detaylara girilme metodu benimsenmiştir. Bu tez giriş, dört bölüm, Sonuç ve ön sözden oluşmaktadır. Girişte eserin öneminden, seçilme nedeninden ve çalışma planından bahsedilmektedir. ve kıraat ilmi tanımlanmış, yedi harf ile kıraat ilmi arasındaki farklar açıklanmış, sahih kıraatin esasları vurgulanmıştır. Müfredeler tarif edilmiş, yedi mütevatir kıraatin imamları ve ravileri, Şatıbiyye tarikine göre anlatılmıştır. Birinci Bölüm: Müellifin hayatına dair kısa bir çalışma içermektedir. İkinci Bölüm: Kitaba ilişkin muhtasar bir araştırma barındırmaktadır. Üçüncü Bölüm: İmadi'nin Mufredatu'l-Kurrai's-Seb'a genel bilgiler. Sonuç bölümünde araştırmada ulaşılan en önemli sonuçlar ortaya konmuştur: - Kitabın İmam İmadi'ye nisbetinin doğruluğu ve başkalarına yapılan atıfların yanlışlığını ispatlanmıştır. - İmadi'nin biyografisi mevcut imkanlar çerçevesinde sunulmuş, kendisinin kıraat alanında mühim bir yeri olduğu vurgulanmıştır. - İmam Ahmed b. Halil el-Ferahidi'den nakledilen yedi harfin yedi kıraat olduğunu söyleyen görüşün doğru olmadığı, yedi kıraati toplayan alim Mücahit onun vefatından 75 sene doğduğu saptanmıştır. Dördüncü Bölüm: Tahkik hususunda üç nüshanın karşılaştırılması yapılmış, dipnotta nüsha farkları belirtilmiş, gerekli açıklama ve yorumlarla birlikte sunulmuştur.
This thesis is the investigation and study of the (Mufradat Alq-urrat AlSabea) book by Al-Emadi (T 783) from the beginning of the book to the Imam Ibn Amer Al-Shami. This book presented as one of the most important books in the science of the "Al-Qurra'" with mentioning the agreement and the difference between the narrators in a manner that combines the unkind abbreviation especially in the fundamentals and the verbiage which are not boring especially in the science of "Al-Farsh". Where it has been worked on according to the method of achieving scientific research, it consists of an introduction and two sections; The introduction: contains the importance of the topic, the reason for its selection and the research plan. And the first section is The study: It contains a preamble, and three chapters, and its conclusion. While the preamble contains: Introducing the science of readings, and explaining the difference between the seven letters and the seven readings, as well as the conditions for accepting readings, and then introducing vocabulary and the most important literature in it and then the definition of the seven readers and their narrators and their methods of "AlShatbyah". As for the first chapter: it contains a brief study about the author. The second chapter contains a study about the book. The third chapter contains General information about the "Al-Mofrdat". The last part is the conclusion: I mentioned the most important findings of the study, including (Determining the author of the (Mufradat Alq-urrat Al-Sabea) book and its attribution to Imam Muhammad bin Amr Al-Emadi (T. After 783) and proof of his fault attributed to others, detection of a translation; And if it was not sufficient for al-Emadi, may God have mercy on him, and to prove the year of his death, while emphasizing that al-Emadi, may God have mercy on him, is a distinguished scholar who is proficient in the sciences of readings and the Arabic language and clarification and statement of the prevailing error that Imam Ahmed bin Khalil Al-Farahidi had interpreted the seven letters with the seven famous readings Especially if we know that Ibn Mujahid who collected the seven recitations was born after the death of Al-Farahidi by (seventy-five years).). The second section: The investigation: The complete investigative text was mentioned in it after his interview in three written copies, and the difference between them was fixed in the margin with comment and clarification on what needs to be clarified
Pemetaan Penelitian Pendidikan Anak Usia Dini: Analisis dan Mapping Publikasi Hasil Penelitian pada Jurnal Golden Age
No full textThis study aims to map the distribution of research in the field of early childhood education based on author affiliation, methodology and research themes. This research uses a qualitative descriptive approach with data collection techniques used in the research is documentation or document review, supported by interviews to find out the publication of research results in the Golden Age Journal, whether it is in accordance with scientific journal accreditation standards and building research mapping and scientific journal publications. With the Content Analysis, the following results were found: The Golden Age Journal has also implemented online journal management using the Open Journal System (OJS) version 3, by referring to the national journal accreditation guidelines, but it has not fully met the journal accreditation standards so it needs to be improved, by expanding it. the aspirations of the area both authors and managers, as well as the development of research themes that have good novelty
Sistem Deteksi Dini Berbasis Artificial Intelligence Sebagai Solusi Inovatif Budidaya Benur Vaname
No full textIndonesia has great potential in the fisheries sector, especially in vaname shrimp farming which plays an important role in fisheries exports. One of the main challenges in shrimps farming is the availability of quality fry. Cuurently, the process of counting fry is done manually, which is less efficient and accurate. To improve efficiency, researchers developed digital image technology in the form of an artificial intelligence (AI)-supported application that is a solution in the automation of fry counting, health detection, and early detection of disease. The method used involves Convolutional Neural Network (CNN) for image analysis and Long Short-Term Memory (LSTM) for sequential data processing. The result showed that the integration of CNN and LSTM was able to classify the condition of the fry with 85% accuracy in less than 5 minutes, compared to the manual method which took longer. The developed ‘VannameiAI’ application facilitates farmers in counting the number of fry, detecting the health of fry according to the fry standard before stocking, and storing harvest data. Thus, this technology has the potential to increase the efficiency and productivity of shrimp farming in Indonesia.
Indonesia memiliki potensi besar dalam sektor perikanan, terutama dalam budidaya udang vaname yang berperan penting dalam ekspor perikanan. Salah satu tantangan utama dalam budidaya udang adalah ketersediaan benur yang berkualitas. Saat ini, proses penghitungan benur dilakukan secara manual, yang kurang efisien dan akurat. Untuk meningkatkan efisiensi, peneliti mengembangkan teknologi citra digital dalam bentuk aplikasi yang didukung keserdasan buatan (AI) yang menjadi solusi dalam otomatisasi penghitungan benur, deteksi kesehatan, dan deteksi dini penyakit. Metode yang digunakan melibatkan Convolutional Neural Network (CNN) untuk analisis gambar dan Long Short-Term Memory (LSTM) untuk pemrosessan data sekuensial. Hasil penelitian menunjukkan bahwa integrasi CNN dan LSTM mampu mengklasifikasikan kondisi benur dengan akurasi 85% dalam waktu kurang dari 5 menit, dibandingkan metode manual yang memakan waktu lebih lama. Aplikasi “VannameiAI” yang dikembangkan memudahkan petambak dalam menghitung jumlah benur, mendeteksi kesehatan benur sesuai dengan standar benur sebelum tebar, dan menyimpan data hasil panen. Dengan demikian, teknologi ini berpotensi meningkatkan efisiensi dan produktivitas budidaya udang di Indonesia
Perancangan Website dan Penerapan Digital Marketing untuk UMKM Bahari Samudra dalam Meningkatkan Penjualan
No full textBahari Samudra MSMEs is a business engaged in marine aquaculture and fisheries, located in Banyuwangi, with lobsters and other marine fish as its main commodities. Despite having good cash flow, this MSME faces challenges in increasing sales because it still relies on traditional methods and lacks the use of digital technology. The main issues include the absence of a website, low knowledge of digital marketing, the lack of a digital financial recording system, and unstructured business management. This community service activity aims to improve the digital capacity of MSMEs through the following solutions: (1) website design and development, (2) digital marketing training, (3) digital accounting training, and (4) business management assistance. The implementation methods include preparation and field surveys, development of learning media, website implementation, training on the use of social media for marketing, and evaluation and monitoring. The expected outcomes of this activity are increased visibility and competitiveness of MSMEs, improved digital literacy, expanded market access, increased sales turnover, and contributions to strengthening the local economy. This program is designed as a concrete effort to encourage Bahari Samudra MSMEs to adapt to technological developments and changes in consumer behavior in the digital era
