Kompresi Citra Berwarna Dengan Penerapan Discrete Cosine Transform ( Dct )

Pengiriman citra dengan kapasitas besar akan memerlukan waktu yang lama dan ruang penyimpanan yang besar. Kompresi citra merupakan suatu teknik yang diperlukan untuk mengurangi biaya penyimpanan dan transmisi. Penelitian ini bertujuan untuk menganalisis ukuran citra asli dengan citra hasil kompresi, menghitung presentase rasio kompresi dan untuk mengetahui kualitas citra terkompresi. Pemampatan atau kompresi citra merupakan suatu metode yang sangat bermanfaat bagi perkembangan citra digital. Dengan kompresi, data citra digital yang ukurannya besar, dapat dikompres sehingga mempunyai ukuran yang lebih kecil. Penelitian ini membahas tentang bagaimana menerapkan metode Discrete Cosine Transform (DCT) ke dalam proses kompresi citra. Program ini dibuat dengan GUI dan source coding di dalam software Matlab. Proses pengkompresian tersebut menggunakan variasi koefisien DCT yang berbeda – beda. Metode ini termasuk dalam jenis kompresi lossy atau berugi, karena beberapa elemen data citra dihilangkan dan dapat mengurangi ukuran citra dengan hasil yang signifikan. Nilai MSE yang semakin rendah, maka kualitas citra semakin baik. Sedangkan nilai PSNR yang semakin besar, maka kualitas citra semakin baik. Dari hasil penelitian ini dapat disimpulkan bahwa program kompresi ini dapat digunakan untuk mengurangi ukuran file citra menjadi lebih kecil. Citra hasil kompresi pada koefisien 1/4 DCT memiliki rasio kompresi paling rendah dengan presentase sebesar 30,47%. Sedangkan citra hasil kompresi pada koefisien 1/64 DCT memiliki rasio kompresi paling tinggi dengan presentase sebesar 62,53%

Stress detection through wearable sensors: a convolutional neural network-based approach using heart rate and step data

With the current technological advancements, particularly in sensing technologies, monitoring various health aspects, including heart rate, has become feasible. The problem addressed in this study is the need for effective stress detection methods to mitigate the significant consequences of high-intensity or long-term stress, which impacts safety and disrupts normal routines. We propose a stress detection system developed based on the convolutional neural network (CNN) method to address this. The study involves university students aged 20–22, focusing on mental stress. The dataset encompasses parameters such as heart rate, footsteps, and resting heart rate recorded through a smartwatch with 149,797-row data. Our results indicate that the CNN model achieves an 84.5% accuracy, 80.9% precision, 79.8% recall, and an 80.4% F1-score, confirming its efficacy in stress classification. The confusion matrix further validates the model’s accuracy, particularly for classes 1 and 2. This research contributes significantly to the development of an effective and practical stress detection method, holding promise for enhancing well-being and preventing stress-related health issues

Desain Urban Bike Untuk Menunjang Mobilitas Aktivitas Masyarakat Kota Metropolitan Yang Dapat Di Produksi Ukm Sepeda Lokal ( Studi Kasus Masyarakat Kota Surabaya )

Semakin meningkatnya populasi, mobilitas dan meluasnya wilayah kota , berdampak pada kebutuhan transportasi bagi penduduk, pengendalian kebutuhan akan transportasi dan polusi tidak dilakukan dengan cara membatasi pergerakan yang akan terjadi melainkan mengelola proses pergerakan tersebut supaya tidak terjadi pada saat bersamaan dan atau terjadi pada lokasi yang bersamaan pula. Masalah muncul ketika calon pengguna kendaraan umum itu menuju ke tempat terminal ,setasiun atau tempat transportasi umum lainya, calon pengguna transportasi umum akan membutuhkan sarana transportasi personal untuk menuju ke tempat dimana kendaraan umum itu berada. Perubahan pola transportasi ini akan mengubah lifestyle atau gaya hidup masyarakat perkotaan yang menginginkan agar mobilitasnya untuk berpindah lebih cepat dan efisien dengan sarana dan alat transportasi yang dapat memenuhi kebutuhan masyarakat khususnya secara personal. Solusi yang ditawarkan untuk menambah minat masyarakat terhadap transportasi umum salah satunya adalah menggunakan alat transportasi pribadi yang dapat memudahkan mobilisasi calon pengguna transportasi umum ke tempat setasiun atau terminal pemberhentian transportasi umum berada ataupun sebaliknya, contoh transportasi personal yang banyak dipilih untuk menunjang mobilitas aktifitas masyarakat adalah sepeda, karena sepeda dinilai sebagai alat transportasi yang ramah lingkungan dan efisien untuk dikendarai di lalulintas yang padat. Namun muncul masalah lain ketika pengguna sepeda menginginkan naik kendaraan umum ataupun menggunakan fasilitas fasilitas umum lainya tapi desain sepeda yang ada saat ini tidak mendukung untuk menikmati fasilitas-fasilitas umum tersebut. Dalam prancangan pembuatan urban bike ini diharapkan dapat memecahkan berbagai permasalahan kota sebagai penunjang aktifitas dan mobilitas masyarakat serta memenuhi kebutuhan masyarakat akan sepeda melalui peran serta UKM pembuatan sepeda lokal. ============================================================================================================== As the number of population, mobility and expansion of the city grows, it affects the need for transportation for the citizens, the control for the transportation and pollution does not sabotage the the movement that will happen, instead, to manage the movement process, so there will not be any coincidences, and/or occurs at the same location. A problem arise when a passenger wants to use public transportation, they head to a bus station, train station or other stations, the passenger will need to use a personal mode of transportation to get to the stations. The change of this transportation pattern will change the urban citizen’s lifestyle that wants their mobility to be more efficient and faster with a means and a transportation that fulfill the citizen’s need in a personal level. One of the solutions offered to increase the interest in public transportation is to use personal transportation to support the mobility for citizens who use public transportations from the stations. For example, the most common and used personal transportation are bicycles, because bicycles are considered a means of transportation that are environmentally friendly, and is efficient in a crowded traffic. But, a problem surfaces when the rider uses public transportation or other public facilities, the bicycle design does not support the riders to use the public facilities. The design for the urban bicycle is expected to find the solution for the specific problem as a support for the activities and mobility of the citizens and to provide the need to use of bicycles through the role of local bicycle small enterprises

Measuring Nurses’ Ethical Competence in Clinical Care: A Systematic Literature Review

Background: Ethical competence is a fundamental requirement in the nursing sector. Justice, autonomy, beneficence, and non-maleficence are among the ethical principles that nurses must incorporate into their daily jobs. This implies the urgency for accurately measuring nurses’ ethical competency. This systematic literature review aims to identify and evaluate the existing instruments for measuring nurses' ethical competence in clinical settings. Methods: The present study curated works obtained from Google Scholar, PubMed, Springer, Science Direct, and Sage Journal as the basis to conduct a systematic literature review aiming to identify and evaluate the existing instruments for measuring nurses' ethical competence in clinical settings. Result: Of 14 articles that satisfied the inclusion criteria, 12 different instruments were found to measure nurses' ethical competence. Conclusion: This research has identified different and varied questionnaires. These questionnaires can be used according to contextual properties, such as the patient's condition and the cultural background of the setting where this questionnaire is operationalized

Sentimen Analysis Social Media for Disaster using Naïve Bayes and IndoBERT

The rapid advancement of information and communication technology has resulted in a significant surge in data, especially text data from social media platforms. This paper presents a sentiment analysis approach using IndoBERT and Naïve Bayes algorithms to classify sentiment related to natural disasters, specifically from a dataset of tweets derived from social media platform X. The focus of this research is to categorize tweets as positive and negative sentiment to provide useful insights in improving disaster response and management, with a focus on tweets related to earthquakes, floods, and the eruption of Mount Merapi. The goal is to assist the government in allocating aid more efficiently and understanding public sentiment during disasters. The methodology used includes data collection, data preparation, labeling, categorization, word weighting using tf-idf, data separation, and classification using Naïve Bayes and IndoBERT algorithms. The results showed that IndoBERT achieved 91% accuracy, while Naïve Bayes achieved 74% accuracy. The study highlights the potential of sentiment analysis in improving disaster preparedness and more effective response strategies

Analyzing Public Sentiments on Disaster Relief Efforts Through Social Media Data

Social media has become a source of quick but not necessarily accurate information. Especially in social media X, which is often used to share information. This research aims to conduct sentiment analysis on posts related to natural disasters that aim to maximize assistance to victims of natural disasters. This research takes datasets from tweets on social media X, the data will be labeled into positive and negative. And then the preprocessing process will be carried out, in this study, categorization will be carried out on each tweet related to the category, then the data will be divided into training and testing. Then the Term Frequency-Inverse Document Frequency (TF-IDF) feature is used to assist in reducing the weight of words that often appear in the dataset, The next step involves designing a system with a focus on applying the Support Vector Machine (SVM) Polynomial Kernel algorithm which becomes a classifier which will later be used to find the best hyperline or decision boundary that divides each review into two classes, namely positive tweets and negative tweets. Then obtained with a value of Precision of 86.49%, Recall 99.21%, F1-Score 92.42%, and Accuracy of 87.01%. This research is expected to provide involvement in making a fast and effective decision for victims of natural disasters

Perancangan Sistem Telemetri Untuk Mengukur Intensitas Cahaya Berbasis Sensor Light Dependent Resistor Dan Arduino Uno

Abstract Light is a propagation of electromagnetic waves that spread all directions that play an important role in everyday life because it is an absolute part of life and without the light of life on earth can not develop. The amount of light illuminance is necessary to know because basically humans require adequate lighting. The instrument for measuring light illuminance is a luxmeter or light meter. However, this gauge is difficult to obtain and the price of the tool is expensive so that it can only be found in certain school laboratories or colleges. While telemetry is the process of measuring the parameters of an object (objects, space, natural conditions) that the measurement results are transmitted to other places via data transmission without or using a cable (wireless). The purpose of this study is to measure, to know the conditions of light intensity. This research uses experimental model of light intensity measurement using independent measuring instrument with combination of LDR and Arduino uno consisting of transmitter and receiver. In the transmitter there are LDR, Arduino Uno, and RF Module Board 433 MHz components, while the receiver consists of Arduino Uno, laptop, and RF Module Board 433 MHz. In this design is also done a variety of testing tools using distance variables. Overall this tool is working well. The system has successfully delivered telemetry measurement results with a range of conditions without a wall barrier with a maximum distance of <28 m. And conditions there are obstacles diding with a maximum distance <13.2

ANALISA PENGARUH KEKASARAN PERMUKAAN DAN SLIP TERHADAP PERFORMANSI PELUMASAN PADA KONTAK SLIDING MENGGUNAKAN METODE VOLUME HINGGA

One of the problems in lubrication in MEMS is stiction. Stiction is a phenomenon of adhering one surface to another surface. A method to reduce stiction is by giving the surface with hydrophobic properties. Thus fluid used as lubricant will slip at boundary surface. There are two methods to make slip, i.e. by coating the surface or by giving the surface roughness. Slip is usually described by slip length model in low shear rate and critical shear stress model in high shear rate. All cases in the present work are modeled by sliding contact with infinite width. The problems are solved by finite volume method, in which the solution is divided into discrete control volume and discretised equation is applied on each control volume. Results show that by employing the smooth surface and slip can increase the hydrodynamic pressure. It becomes three times bigger than the no-slip condition. Maximum load support is found when the length of slip region is 0.65 from length of sliding contact with gap ratio of 0.9. The effect of surface roughness can increase the load support in no-slip condition with hr/Lx of 0.6. But in the slip condition, the surface roughness will decrease load support