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The Black Box Testing of the "Hybrid Engine" Application Using Boundary Value Analysis Technique: - Megawati, Citra Dewi; Miwa, Nina Deskartika; Palevi, Bima Romadhon Parada Dian
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 2 (2023): Research Article, Volume 7 Issue 2 April, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i2.12278

The "Hybrid Engine" application is an introduction to a hybrid engine that is packaged attractively and can be accessed online, this application is very important for conveying information about hybrid engines, if an error occurs in the functional application there can be misunderstandings about the information conveyed. Therefore it is necessary to test to ensure the quality of the application that has been produced. Testing is an evaluation process of assessing the functional quality of software to check whether the software meets the expected process or not. Functional processes that have not been maximized can cause inequalities in the data information to be displayed. Applications that have been designed must go through the testing stages to ensure the level of functional quality. Of the several types of black box testing methods, one of them is Boundary Value Analysis. The method tests the maximum and minimum number of digits to produce a valid value and is easy enough to test "hybrid engine" applications. The first stage carried out in this research is to identify the functionality to be processed and ensure that the maximum and minimum number of digits matches the predetermined system arrangement. The result of applying the method used is that the quality of the application is under its function, and can be utilized properly by the user. The results of the Boundary Value Analysis test show that the application is following the expected system and instructions with a success percentage of 78.245615%.

UTILIZATION OF SOLAR ENERGY AS AN ALTERNATIVE ENERGY SOURCE IN THE HYDROGEN (H2) PRODUCTION PROCESS IN HYDROFILL Romadhon, Bima; Saleh, Choirul; Setiawan, Rachmadi; Megawati, Citra Dewi
Journal of Sustainable Technology and Applied Science (JSTAS) Vol. 3 No. 1 (2022): Journal of Sustainable Technology and Applied Science, May 2022
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat, Institut Teknologi Nasional (ITN) Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jstas.v3i1.3553

ABSTRACT: Due to the industrial revolution, global demand for oil rose as did hydrogen. Given the population explosion, energy demand is rising to a very large level and this results in excessive exploitation of natural resources and greenhouse gas deposits. But since the 2015 Paris Agreement, the attention of international bodies and climate movements has made drastic policy toward the use of renewable energy, with the gradual elimination of fossil fuels. One of the key challenges to reducing greenhouse gas emissions and addressing the growing global energy demand is with environmentally friendly and sustainable energy solutions. Hydrogen is recognized as a potential fuel because it offers a carbon-free solution, a high caloric value compared to fossil fuels. Hydrogen can be produced from a wide variety of domestic resources. Currently, most hydrogen is produced using Steam Methane Reforming (SMR) and Carbon Capture and Storage (CCS) natural gas or coal gasification is the cheapest way in terms of cost compared to using electrochemistry and renewable biomass as the main ingredients of hydrogen production. Electrolysis methods were applied in this study to produce hydrogen fuel. The purpose of this test was to compare the effectivity of electrolysis system production in room temperature conditions (VH2real) and ideal conditions (VH2ideal) with energy consumption (Vcell) per liter of H2. From the tests that have been conducted, it can be concluded that the ideal condition of an electrolysis system is difficult to achieve in room temperature conditions, the results showed in ideal conditions, the expected hydrogen volume of 18.23 liters was obtained with a power consumption of 6,390 Watts / Liter, but in the room conditions the average test results showed that the average power consumption consumed was 6,633 Watts / Liter.

Feasibility and Performance Evaluation of Microprocessor and Fuzzy Logic-Based Overcurrent Relay in Electrical Protection Systems Parada D.P, Bima Romadhon; Megawati, Citra Dewi; Nurcahyo, Eko; Hidayat, Taufik; Setiawan, Rachmadi; Latif, Kurniadin Abd
Jurnal Bumigora Information Technology (BITe) Vol 6 No 1 (2024)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v6i1.4101

This research focuses on the development and testing of a microprocessor-based Overcurrent Relay (OCR) with the implementation of fuzzy logic control for adaptive setting of TMS values. OCR is a crucial component in the electricity protection system which aims to detect and respond to disturbances due to excessive current, preventing damage to electrical equipment. The aim of this research is to test the feasibility and performance of microprocessor-based OCR with fuzzy logic control in setting TMS values, and compare it with the international standard IEC 60255. The method used in this research is the implementation of the Sugeno type fuzzy logic algorithm on the Atmega 328P microcontroller. This algorithm is used to control the TMS value based on the rotating frequency of the detected overcurrent. The results of this research are a characterization of the OCR response to variations in streaming current and different PS settings. The lowest TOp deviation was observed at higher PS settings, with the best performance in the IDMT OCR type. The use of fuzzy logic control is able to increase the OCR response to overcurrent disturbances, although under normal conditions it sometimes results in a longer TOp. The conclusion of this research is that microprocessor-based OCR with fuzzy logic control can provide protection performance that is adaptive and responsive to dynamic operational environmental conditions. This implementation has the potential to increase the efficiency and leakage of the electricity protection system

Hyperparameter-Tuned Artificial Neural Networks for Early Stunting Prediction in Toddlers Asriningtias, Salnan Ratih; Megawati, Citra Dewi; Kusumaningtyas, Dian; Surya, Dwi Utari
Sinkron : jurnal dan penelitian teknik informatika Vol. 9 No. 2 (2025): Research Articles April 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i2.14695

The growing accessibility of varied health data requires the creation of efficient and practical techniques for deriving actionable insights, particularly for the early identification of severe health issues. This study tackles the issue of recognizing stunting—a disorder with enduring health consequences—among children under five by employing Artificial Neural Networks (ANN) with hyperparameter optimization by GridSearchCV. The dataset, sourced from Kaggle, comprises 121,000 records detailing age, gender, height, and nutritional status according to WHO standards. Critical hyperparameters, including dropout rate, batch size, and epochs, were optimized using a five-fold cross-validation approach within GridSearchCV, ensuring a robust model that reduces overfitting and generalizes well to new data. The findings demonstrate a notable performance improvement, as the optimized ANN model attained an accuracy of 99%, exceeding the baseline model's 98%. Enhancements in accuracy, recall, and F1-score across the four stunting classifications—normal, stunted, severely stunted, and tall—underscore the improved specificity and sensitivity of the optimized model. This research demonstrates the efficacy of hyperparameter tuning in ANN for stunting prediction, offering a reliable tool for early intervention in malnutrition management.

ECG-Based Heart Rate Variability and KNN Classification for Early Detection of Baby Blues Syndrome in Postpartum Mothers Megawati, Citra Dewi; Asriningtias, salnan Ratih; Bima Romadhon Parada Dian; Teo Pei Kian; Sutawijaya, Bayu; Fransiska, Ratna Diana
Sinkron : jurnal dan penelitian teknik informatika Vol. 9 No. 4 (2025): Articles Research October 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i4.14956

Early detection of baby blues syndrome plays an important role in preventing postpartum emotional disturbances from developing into more serious mental health conditions. This study proposes a simple and non-invasive approach to identify early signs of baby blues in postpartum mothers by analyzing electrocardiogram (ECG) signals using the K-Nearest Neighbor (KNN) algorithm. The ECG data were gathered through wearable sensors and processed to extract heart rate variability (HRV) features such as RMSSD, SDNN, entropy, and energy. These features were then used to train and test a KNN classification model through a five-fold cross-validation process. KNN was chosen because it is easy to implement, does not assume any specific data pattern, and works well with small datasets like those commonly found in clinical settings. Its ability to group data based on similarity makes it suitable for recognizing subtle physiological changes linked to emotional stress. The model reached an accuracy of 87.5%, with strong precision and recall scores, showing its reliability in distinguishing mothers who show early symptoms of baby blues from those who do not. Among all features, RMSSD and SDNN had the highest impact, pointing to reduced parasympathetic activity in affected individuals. These findings suggest that combining HRV analysis with a straightforward machine learning approach like KNN offers a promising, low-cost solution for early emotional screening in maternal care, especially where resources are limited.

Feasibility and Performance Evaluation of Microprocessor and Fuzzy Logic-Based Overcurrent Relay in Electrical Protection Systems Parada D.P, Bima Romadhon; Megawati, Citra Dewi; Nurcahyo, Eko; Hidayat, Taufik; Setiawan, Rachmadi; Latif, Kurniadin Abd
Jurnal Bumigora Information Technology (BITe) Vol. 6 No. 1 (2024)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v6i1.4101

This research focuses on the development and testing of a microprocessor-based Overcurrent Relay (OCR) with the implementation of fuzzy logic control for adaptive setting of TMS values. OCR is a crucial component in the electricity protection system which aims to detect and respond to disturbances due to excessive current, preventing damage to electrical equipment. The aim of this research is to test the feasibility and performance of microprocessor-based OCR with fuzzy logic control in setting TMS values, and compare it with the international standard IEC 60255. The method used in this research is the implementation of the Sugeno type fuzzy logic algorithm on the Atmega 328P microcontroller. This algorithm is used to control the TMS value based on the rotating frequency of the detected overcurrent. The results of this research are a characterization of the OCR response to variations in streaming current and different PS settings. The lowest TOp deviation was observed at higher PS settings, with the best performance in the IDMT OCR type. The use of fuzzy logic control is able to increase the OCR response to overcurrent disturbances, although under normal conditions it sometimes results in a longer TOp. The conclusion of this research is that microprocessor-based OCR with fuzzy logic control can provide protection performance that is adaptive and responsive to dynamic operational environmental conditions. This implementation has the potential to increase the efficiency and leakage of the electricity protection system

Applied Communication Strategy through Digital Signage for Social Care Management in Malang Silvatri, Hapsari Dian; Megawati, Citra Dewi; Palevi, Bima Romadhon Parada Dian
Social and Economic Bulletin Vol. 2 No. 2 (2025): SEBI Journal May 2025
Publisher : Baca Dulu Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70550/sebi.v2i2.216

The rapid growth of digital technology has influenced communication strategies within social institutions that need to be more effective, interactive, and transparent. This study aims to apply a digital-based communication strategy through the implementation of digital signage as a medium for delivering information and education in social care institutions in Malang City. The research employed a descriptive qualitative method, with data collected through observation, interviews, and documentation. The findings show that the application of digital signage enhances message delivery effectiveness, increases information accessibility, and strengthens the interaction between social institutions and the public. Furthermore, digital signage contributes to building the image of institutions as adaptive and innovative in facing technological advancements and communication challenges in the digital era. The implication of this research emphasizes that digital-based communication strategies can serve as an innovative solution to improve communication management, promote transparency, and support the operational effectiveness of social institutions.

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