25 research outputs found
Thematic Learning Design Using the Internet of Things (IoT) at the Elementary School During the Covid-19 Pandemic
One of the impacts of the Covid-19 pandemic in the world of education is a change in the learning process from face-to-face learning to online learning. To compensate for these changes, it is necessary to integrate technology in learning. The goal of this study is to design thematic learning at the elementary school level by integrating the Internet of Things (IoT) related to climate change parameters. The method in this study uses research and development of IoT-based measuring instruments using the Lolin V3 MCU node, with sensors for temperature, air pressure, humidity, altitude, and light intensity. The research respondents were 20 students. Data collection was carried out using a questionnaire containing four aspects, namely, usability, ease of use, aspects of learning ease, and satisfaction. The results showed that the reliability value > 0.6 and the level of student acceptance of the product was 3.4 with effective criteria. Based on the findings, this instructional design has potential opportunities to increase student engagement even though it is limited in networking. So it can be concluded that IoT-based learning media can be applied as a thematic learning model at the elementary school level during the Covid-19 pandemic
Optimizing the Role of Teachers and Students in the Digital Era in Facing VUCA Challenges
In the rapidly developing digital era, technologies such as Artificial Intelligence (AI), Blockchain, Internet of Things (IoT), Augmented Reality (AR), Virtual Reality (VR), and Artificial Intelligence of Things (IoT) are becoming an integral part of education. The role of teachers and students needs to be adapted to utilize this technology effectively in facing the challenges of VUCA (Volatility, Uncertainty, Complexity, Ambiguity). This community service aims to identify strategies that can be implemented by teachers and students to utilize digital technology, as well as explore its impact and benefits in education. In addition, this community service will also examine how this technology can help reduce uncertainty and complexity in a changing educational environment. The evaluation results showed excellent achievements with high scores for conceptual understanding and overall benefits, confirming that this activity provides a solid foundation for developing education responsive to the demands of the times, especially in the current VUCA era
Utilization of Seismic Data as a Tsunami Vulnerability Review
This study aimed to analyze seismic data, which is then made into an infographic to map the level of tsunami hazard in the Sikka District. The research was carried out in Sikka District, East Nusa Tenggara, located between 121°55'40''-122°41'30'' east longitude and 08°22'-08°50' south latitude. The data source comes from the IRIS Earthquake Browser, and the analysis stage was carried out in two phases. The first analysis used seismic data analysis, and EQ Energy used IRIS (Incorporated Research Institutions for Seismology) data. Meanwhile, the second analysis maps the tsunami risk by determining the tsunami hazard in areas with the potential for a tsunami. Based on the analysis of seismicity data showed that Sikka District has the potential for an earthquake accompanied by a tsunami. In contrast, the results of the EQ Energy analysis caused by the December 14, 2021 earthquake were known as the value of Ehf = 6.46 × 1014 J and EBB = 5.48 × 1015 J. The analysis of the level of tsunami susceptibility based on the tsunami run-up height in Sikka District showed that the northern coastal area of Flores had various potentials, where the highest vulnerability level was in the Alok subdistrict and parts of Talibura. Meanwhile, the area with the lowest potential was the Kewapante subdistrict
Lux Meter pada Smartphone untuk Pengukuran Perubahan Tingkat Kecerahan Langit: Keadaan Langit Prapurnama dan Pascapurnama di Kota Maumere
Pengukuran perubahan kecerahan langit adalah salah satu persyaratan penting untuk penelitian astronomi, terutama astronom amatir. Tujuan dari penelitian ini adalah untuk mengetahui perubahan tingkat kecerahan langit di Maumere. Pengumpulan data penelitian dilakukan dengan mengamati tingkat kecerahan langit pra-purnama hingga pasca-purnama menggunakan aplikasi Lux Meter pada smartphone. Pengamatan dilakukan selama 5 hari sejak 11-15 Juli 2022 secara bersamaan dari pukul 21.22 WITA hingga 21.37 WITA. Data pengamatan memiliki nilai yang bervariasi dari hari pertama hingga hari terakhir, yaitu 0,053 lx, 0,094 lx, 0,491 lx, 0,093 lx, 0,02 lx. Perubahan data pada malam pertama memiliki nilai yang berbeda dengan malam ketiga yaitu saat bulan purnama. Perbedaan data penelitian adalah sebesar 0,493 atau 89% dari data pada malam ketiga. Dari hasil pengamatan disimpulkan bahwa kecerahan langit pada saat pra-purnama, purnama hingga pasca purnama berubah
Algoritma YOLO sebagai deteksi korban akibat kerusakan geohazard menggunakan citra (computer vision)
Penelitian ini bertujuan untuk melakukan identifikasi objek korban akibat kerusakan geohazard menggunakan algoritma YOLO. Alat yang digunakan pada penelitian adalah algoritma YOLO dengan bantuan Google Colab. Dataset yang digunakan berjumlah 80 objek anotasi yang terdiri dari 60 objek sebagai data latih dan 20 objek sebagai data uji dengan sumber gambar yang diperoleh dari internet. Hasil penelitian menunjukkan bahwa YOLO v4 telah mampu melakukan pendeteksian objek pada setiap objek pada gambar. Hasil ini ditunjukkan dengan munculnya bounding box, serta munculnya nilai akurasi. Nilai akurasi yang muncul menunjukkan hasil kerja mesin dalam identifikasi, semakin besar nilai akurasi maka menunjukkan bahwa hasil deteksi objek semakin baik
Investigation on Effect of Solution Temperature on The Structure of Cu/Ni Layer in The Electroplating Assisted withParallel Magnetic Field
Tujuan penelitian ini adalah mengidentifikasi pengaruh variasi suhu larutan terhadap struktur lapisan yang terbentuk melalui metode elektroplating. Larutan elektrolit dibuat dengan campuran NiSO4, NiCL2,H3BO3, dan H2O. Elektroplating dilakukan selama 180 s dengan tegangan 4,5 V dan medan magnet 150 G pada arah sejajar permukaan katoda-anoda. Hasil penelitian menunjukkan suhu mempengaruhi ketebalan lapisan, arus listrik, jumlah zat yang terlepas dan terbentuk dan pH larutan. Lapisan paling tebal adalah sampel hasil deposisi pada suhu 40C dengan ketebalan [(133,8 0,9745) 10-5] cm pada pH 4,21. Kemudian yang paling tipis adalah sampel hasil deposisi pada suhu 60C dengan ketebalan [(59,83 0,6270) x 10-5] cm pada pH 4,18. Ketebalan lapisan yang terbentuk sebanding dengan jumlah zat terlarut dan jumlah arus yang mengalir selama pelapisan berlangsung.The purpose of this study is to identify the effect of temperature variations on the structure of the layers formed through the electroplating method. Electrolyte solution was made with mixture of NiSO4, NiCL2,H3BO3, and H2O. Electroplating was carried out for 180 s on the voltage of 4.5 V and magnetic field parallel to 150 G. The results showed temperature affects the thickness of the layer, electric current, the amount of released and formed substances and the pH of the solution. The thicknest of layer is according to the sample deposited at a temperature of 40C with a thickness of [(133,8 0,9745)x 10-5] cm at pH of 4.21. Then the thinnest one was according to the sample which was deposited at 60C with a thickness of [(59,83 0,6270) x 10-5] cm at pH of 4.18. The thickness of the layer is proportional to the amount of solute and the amount of current flowing during the coating.Keywords: Elektroplating, Flim Tipis, Cu/Ni, Suhu Larutan, Magnet Sejajar
Pengembangan Monograf Pembuatan Lapisan Tipis Cu/Ni Berbantuan Medan Magnet dengan Metode Elektroplating
Penelitian ini bertujuan untuk menghasilkan produk monograf pembuatan lapisan tipis Cu/Ni berbantuan medan magnet dengan metode elektroplating untuk mahasiswa pendidikan fisika.Metode penelitian yang digunakan adalah penelitian pengembangan. Produk hasil penelitian berupa buku referensi (monograf) yang didalamnya berisi tentang hasil riset eksperimen.. Produk penelitian berupa monograf diujikan kepada responden berupa mahasiswa praktikum matakuliah sains dan teknologi nano dan diujikan kepada validator sebagai ahli media dan materi. Hasil validasi dari responden dan validator menunjukkan bahwa monograf yang dihasilkan memiliki nilai lebih dari 85% dan memiliki kriteria sangat layak untuk digunaka
Development of a Physics Experiment Guidebook Using a Smartphone Assisted by the Phyphox Application
The purpose of this study was to determine how to create, evaluate, and implement a physics experiment manual for damped oscillatory motion using a smartphone and the Phyphox application. This study took place at the Integrated Science Laboratory of IKIP Muhammadiyah Maumere and involved 20 students from the second and fourth semesters of the Physics Education Study Program during the 2022/2023 academic year. The methodology used in this research was Research and Development (R&D), which followed the ADDIE development model consisting of five main stages: Analysis, Design, Development, Implementation, and Evaluation. The tools used in this study were expert validation sheets and student response questionnaires. Quantitative descriptive analysis techniques were used to calculate the proportion of expert validation scores and student response questionnaire results. Specialists in materials evaluated the physics experiment manual and gave it a rating of 94%. Meanwhile, media professionals evaluated the same manual and rated it 95%. The combined feedback from both groups indicates that the physics experiment handbook is very eligible to use. According to the student response questionnaire, the average score obtained by the students was 87%, which falls under the category of "very interested." This indicates that the physics experiment manual is highly suitable for learning physics
Development of a Physics Experiment Guidebook Using a Smartphone Assisted by the Phyphox Application
The purpose of this study was to determine how to create, evaluate, and implement a physics experiment manual for damped oscillatory motion using a smartphone and the Phyphox application. This study took place at the Integrated Science Laboratory of IKIP Muhammadiyah Maumere and involved 20 students from the second and fourth semesters of the Physics Education Study Program during the 2022/2023 academic year. The methodology used in this research was Research and Development (R&D), which followed the ADDIE development model consisting of five main stages: Analysis, Design, Development, Implementation, and Evaluation. The tools used in this study were expert validation sheets and student response questionnaires. Quantitative descriptive analysis techniques were used to calculate the proportion of expert validation scores and student response questionnaire results. Specialists in materials evaluated the physics experiment manual and gave it a rating of 94%. Meanwhile, media professionals evaluated the same manual and rated it 95%. The combined feedback from both groups indicates that the physics experiment handbook is very eligible to use. According to the student response questionnaire, the average score obtained by the students was 87%, which falls under the category of "very interested." This indicates that the physics experiment manual is highly suitable for learning physics
Forecast earthquake precursor in the Flores Sea
Artificial intelligence (AI) can use seismic training data to discover relationships between inputs and outcomes in real-world applications. Despite this, particularly when using geographical data, it has not been used to predict earthquakes in the Flores Sea. The algorithm will read the seismic data as a pattern of iterations throughout the operation. The output data is created by grouping based on clusters using the most effective WCSS analysis, while the input features are derived from the original international resource information system (IRIS) web service data. Given that earthquake prediction is an effort to reduce seismic disasters, this research is essential. By generating predictions, it can reduce the devastation caused by earthquakes. Using the support vector machine (SVM), hyperparameter support vector machine (HP-SVM), and particle swarm optimization support vector machine (PSO-SVM) algorithms, this study seeks to forecast the Flores Sea earthquake. According to the estimation results, the SVM algorithm’s evaluation value is less precise than that of the HP-SVM, especially the linear HP-SVM and HP-SVM Polynomial models. However, the HP-SVM RBF model’s accuracy rating is identical to that of the traditional SVM model. The improvement of the PSO-SVM model, which has the finest gamma position and a value of 9
