Jurnal Universitas Siliwangi
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PELAKSANAAN PENDIDIKAN INKLUSI MATA PELAJARAN PJOK: PERSPEKTIF GURU PJOK
Get PDFTujuan penelitian ini mengevaluasi pemenuhan kebutuhan dan hak peserta didik penyandang disabilitas dalam pendidikan jasmani inklusi oleh guru pjok dan mengidentifikasi hambatan pelaksanaan pendidikan jasmani inklusi bagi anak penyandang disabilitas. Penelitian ini mengadopsi pendekatan kualitatif dengan metode studi fenomenologi. untuk mendalami dan menggambarkan pelaksanaan Pendidikan jasmani inklusi di satuan Pendidikan yang ada di Kota Tasikmalaya. Hasil penelitian didapatkan Pertama, penyesuaian aktivitas fisik dan modifikasi aturan permainan adalah strategi utama yang diterapkan oleh guru untuk mengakomodasi kebutuhan siswa berkebutuhan khusus. Kedua, fasilitas dan infrastruktur yang inklusif merupakan aspek yang sangat penting namun sering kali masih belum memadai. Guru PJOK menghadapi tantangan dalam menyediakan lingkungan fisik yang mendukung, di mana alat dan fasilitas olahraga sering kali tidak dirancang khusus untuk siswa berkebutuhan khusus. Ketiga, pelatihan dan pengembangan profesional untuk guru PJOK menjadi isu krusial dalam mendukung pelaksanaan pendidikan inklusi. Guru-guru merasa bahwa pelatihan yang ada saat ini belum cukup mendalam, terutama dalam hal penerapan strategi pengajaran adaptif dan penggunaan alat bantu. Keempat, kolaborasi antar pihak sangat penting untuk keberhasilan pendidikan inklusi
ANALISIS KESALAHAN BERBAHASA TATARAN TATA BAKU BAHASA INDONESIA PADA TEKS CERITA KARANGAN MAHASISWA THAILAND SELATAN DI PURWOKERTO
Get PDFAbstrakKesalahan berbahasa Indonesia dapat terjadi baik lisan maupun tulisan. Kesalahan berbahasa tulis dapat terjadi pada karangan mahasiswa asing yang studi di Indonesia. Penelitian ini bertujuan mendeskripsikan kesalahan berbahasa pada tataran tata bahasa baku bahasa Indonesia dalam cerita yang ditulis dari hasil karangan mahasiswa Petani, Thailand semester satu Purwokerto. Jenis penelitian ini adalah penelitian deskriptif kualitatif yang sumber datanya diperoleh dari tulisan yang dikarang oleh mahasiswa Patani, Thailand semester satu. Peneliti akan menekankan pada pendeskripsian hasil dari penelitian yang telah didapatkan melalui analisis isi pada sebuah objek. Teknik yang digunakan pada penelitian ini dengan menganalisis apa saja kesalahan dalam penulisan yang tidak sesuai dengan kaidah tata bahasa baku bahasa Indonesia. Data penelitian ini diperoleh dari teks narasi yang telah ditentukan peneliti. Hasil penelitian didapat bahwa kesalahan yang terjadi, yaitu (1) penggunaan huruf kapital yang tidak sesuai, (2) tanda baca yang tidak tepat, (3) pemilihan diksi yang kurang tepat, dan (4) kalimat yang tidak efektif.Kata kunci: Kesalahan Berbahasa, Tata Bahasa Baku, Mahasiswa Thailand SelatanAbstractIndonesian language errors can occur both orally and in writing. Written language errors can occur in the essays of foreign students studying in Indonesia. This study aims to describe language errors at the level of standard Indonesian grammar in stories written from the compositions of Pattani students, Thailand, first semester in Purwokerto. This type of research is qualitative descriptive research whose data sources are obtained from writings written by Patani students, Thailand, first semester. The researcher will emphasize on describing the results of the research that have been obtained through content analysis on an object. The technique used in this study is to analyze what errors in writing are not in accordance with the rules of standard Indonesian grammar. The data for this study were obtained from narrative texts that had been determined by the researcher. The results of the study showed that the errors that occurred were (1) inappropriate use of capital letters, (2) inappropriate punctuation, (3) inappropriate choice of diction, and (4) ineffective sentences.Keywords: Language Errors, Standard Grammar, South of Thai Student
Gamifying Reading: Using Quizizz to Boost EFL Students’ Narrative Text Skills
Get PDFThis study aims to examine the effectiveness of using the Quizizz application with gamification techniques to improve students' reading comprehension, particularly in understanding narrative texts. The research employed a quasi-experimental design involving two classes at a scool in Sidoarjo, East Java. The experimental group used Quizizz as a learning medium, while the control group used conventional teaching methods. The results showed a significant improvement in reading comprehension in the experimental group compared to the control group. The application of gamification elements such as points, avatars, leaderboards, and instant feedback successfully increased students’ motivation, engagement, and learning outcomes. These findings indicate that integrating technology-based gamified learning tools like Quizizz can be an effective strategy for improving students’ reading comprehension in English, especially in narrative texts
Analisis Pengaruh Makroekonomi terhadap Nilai Tukar Rupiah: Pendekatan Vector Error Correction Model (VECM) di Indonesia
Get PDFThis study uses the Vector Error Correction Model (VECM) method to analyze the exchange rate relationship with GDP, remittances, investment, and inflation in Indonesia for the period 2011Q1-2023Q4. The study aims to separate the short-run and long-run effects and uses variance decomposition to identify the contribution of each variable to the exchange rate. The analysis shows that investment has a significant effect on the exchange rate in the long run, while GDP, remittances, and inflation have no significant impact. In the short run, investment shows a negative impact on the exchange rate, reflecting its sensitivity to market dynamics. Moreover, variance decomposition reveals that the exchange rate variable itself becomes the dominant factor in exchange rate movements, followed by investment. This study supports the Purchasing Power Parity (PPP) theory by highlighting the importance of investment in maintaining exchange rate stability. The results are expected to serve as a reference for policy makers in designing effective exchange rate management strategiesPenelitian ini menggunakan metode Vector Error Correction Model (VECM) untuk menganalisis hubungan nilai tukar dengan GDP, remitansi, investasi, dan inflasi di Indonesia pada periode 2011Q1-2023Q4. Studi ini bertujuan untuk memisahkan pengaruh jangka pendek dan jangka panjang serta menggunakan dekomposisi varians untuk mengidentifikasi kontribusi masing-masing variabel terhadap nilai tukar. Hasil analisis menunjukkan bahwa investasi memiliki pengaruh signifikan terhadap nilai tukar dalam jangka panjang, sementara GDP, remitansi, dan inflasi tidak berdampak signifikan. Dalam jangka pendek, investasi menunjukkan dampak negatif terhadap nilai tukar, mencerminkan sensitivitasnya terhadap dinamika pasar. Selain itu, dekomposisi varians mengungkapkan bahwa variabel nilai tukar itu sendiri menjadi faktor dominan dalam pergerakan nilai tukar, diikuti oleh investasi. Penelitian ini mendukung teori Purchasing Power Parity (PPP) dengan menyoroti pentingnya investasi dalam menjaga stabilitas nilai tukar. Hasilnya dapat menjadi acuan bagi pembuat kebijakan dalam merancang strategi pengelolaan nilai tukar yang efektif
ICE CREAM INDUSTRY BID FOR VEGETABLE FAT SUBSTITUTE BASED ON SWEET POTATO LOCAL RESOURCE IN MARDI
Get PDFThe objective of this study is to identify the ice cream industry’s supply of sweet potato based vegetable fat subsitute products at MARDI. The research employed qualitative techniques using the case study method on ice cream entrepreneurs at the Malaysia Agriculture,Horticulture, and Agritourism (MAHA) 2024 held at MAEPS Serdang, Malaysia. The findings showed that the developed fat substitutes need to be improved in terms of consistency, flavour, stability during storage, as well as the ability to create a texture similar to animal fat. Nevertheless, industry players remained positive towards the developed fat substitute innovations. Fulfilling consumer tastes and competitive pricing of fat substitute are among the key challenges for the fat substitute industry to continue to grow in the future
An Integrated Convolutional Neural Networks and Light Gradient Boosting Approach for Flood Classification Using Sentinel-1 SAR Satellite Imagery
Get PDFod classification plays a crucial role in disaster mitigation, particularly in areas frequently affected by floods. This study proposes a novel model combining Convolutional Neural Networks (CNN) using ResNet-50 and Light Gradient Boosting Machine (LightGBM) for classifying flood and non-flood areas using Sentinel-1 SAR imagery. The dataset used consists of 21,016 images, evenly distributed between flood and non-flood classes, and processed through resizing, normalization, denoising, and augmentation. Feature extraction was conducted using the ResNet-50 architecture, which captured spatial and textural patterns efficiently, followed by LightGBM for classification. The proposed model achieved a high accuracy of 96%, with Precision, Recall, and F1-scores exceeding 95% for both classes. The evaluation metrics, including Precision-Recall Curve with an AUC of 0.9852 and a Confusion Matrix, confirmed the model's robustness and balance in classifying both categories. Additionally, comparisons with previous research, such as SAR-FloodNet, demonstrated the superiority of the proposed approach, achieving a 2% improvement in accuracy. Despite these results, limitations such as the exclusive use of Sentinel-1 data and the lack of validation across diverse environmental conditions remain. Future research should explore integrating multispectral Sentinel-2 data and testing on broader datasets to enhance scalability and reliability. The findings underscore the model's potential for real-world applications in flood monitoring and disaster management systems
Design of Internet of Things (IoT)-Based Earthquake Detector With Solar Cell Back Up
Get PDFEarthquake detector as an Internet of Things (IoT)-based earthquake detector with solar cell power backup is an innovation to improve the ability to detect earthquakes effectively and in real time. This tool uses a pendulum cone as the main sensor. The way this sensor works is that when an earthquake occurs, the pendulum will move to touch the ring and conduct an electric current to the microcontroller. Earthquake detection data is processed by the ESP8266 microcontroller to provide alarm warnings and send information wirelessly via the Internet network to firebase and then sent to the application on the smartphone. In addition, this tool is equipped with a solar cell as a backup when the main electricity goes out. The test results show that the Internet of Things (IoT)-based earthquake detector can work well according to the design, namely the alarm and notification on the active smartphone when tested. The highest power of the solar panel is on the second day of 8.35 Watts and the lowest power of the solar panel is on the third day of 2.80 Watts. So the design of tools and software can function properly in accordance with the design
Design of Sterilizer Calibration With Esp8266 Based on Internet of Things
Get PDFAdvancing technology demands reliable monitoring of key indicators such as temperature, a fundamental measure of heat or cold and critical wherever stable setpoints are required. Guided by Industry 4.0 principles, this study develops an Internet-of-Things (IoT) sterilizer calibration tool using an ESP8266 controller for real-time access. The device was built as planned, from component selection and casing design to the accompanying application, and supports continuous temperature observation. The IoT layer simplifies data acquisition and provides reliable, real-time monitoring via the ESP8266. Experimental evaluation shows small deviations from setpoints: at 150 °C the mean error is 0.5 °C, and at 200 °C the mean error is 0.1 °C. Testing followed the Medical Device Calibration Work Method No. 044-18 (2020) for sterilizer performance. All results remain within the permitted tolerance of ±5 °C, indicating that the tool is suitable for use and can assist applications that require stable, precisely monitored temperature conditions
Development of Modified Duty Cycle Technique to Enhance the Effectiveness of DC-DC Boost Converter
Get PDFThe DC-DC boost converter is a crucial component in power management systems, functioning to step up the DC voltage from a lower to a higher level. However, the effectiveness of the converter is often hindered by power losses and suboptimal efficiency. This study presents a performance analysis of three control methods applied to the Boost Converter: Conventional PWM, PWM with Modified Duty Cycle Switching (MDCS), and a Proportional-Integral (PI) Controller. Simulation results indicate that the Conventional PWM method exhibits low efficiency (88%) along with significant overshoot and steady-state error. The MDCS method demonstrates improved efficiency (91.7%) and a faster response time; however, it tends to experience substantial voltage fluctuations, indicating instability during transient conditions. In contrast, the PI controller delivers the most optimal performance, achieving the highest efficiency (94%) and a stable output voltage without significant fluctuations. The PI technique effectively maintains the reference voltage with minimal steady-state error and overshoot, making it an ideal solution for applications requiring high stability and efficiency.
In conclusion, the PI controller is recommended for power conversion applications that demand stability, while the MDCS method is more suitable for systems requiring fast response with consideration for stability. The Conventional PWM method should be avoided in applications that require high efficienc
Analisis Faktor Penyebab Waste dalam Pendekatan Lean Construction pada Beberapa Kontraktor
Get PDFWaste dalam proyek konstruksi merupakan bentuk pemborosan yang berasal dari bahan, material, sumber daya manusia, maupun waktu. Dalam pendekatan lean construction, faktor penyebab waste memiliki 7 kategori yaitu defect atau cacat, waiting waktu menunggu, unnecessary inventory atau persediaan yang tidak perlu, unnecessary motion atau gerakan yang tidak perlu, over production atau produksi berlebih, dan inappropiate processing atau proses yang tidak sesuai. Penelitian ini bertujuan untuk mengetahui faktor penyebab yang paling dominan/paling berpengaruh menimbulkan waste dilihat dari sudut pandang beberapa kontraktor sebagai pelaksana konstruksi. Dari 15 kontraktor dengan berbagai latar belakang jabatan, didapat hasil analisis data yang telah dilakukan, didapat faktor penyebab waste dalam pendekatan lean construction yang sering terjadi dalam pelaksanaan proyek konstruksi adalah unnecessary motion atau gerakan yang tidak perlu dengan memperoleh nilai 60,3. Hal ini terjadi karena dalam pelaksanaannya para pekerja/pelaksana proyek masih banyak melakukan pergerakan yang berakibat pada penurunan produktivitas kerja seperti metode kerja yang tidak konsisten/selalu mengalami perubahan, pekerja kurang produktif dan tidak ada tempat penyimpanan material khusus sehingga ada mobilitas yang tidak perlu. Untuk meminimalkan hal tersebut dapat dilakukan dengan menyusun tata letak proyek dengan efisien untuk meminimalkan jarak tempuh pekerja, menggunakan peralatan kerja yang tepat untuk mempermudah pekerjaan, serta memberikan pelatihan kepada pekerja untuk menggunakan gerakan dalam bekerja secara efisien