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Heca Journal of Applied Sciences
Published by PT. Heca Sentra Analitika
ISSN : -     EISSN : 29879663     DOI : https://doi.org/10.60084/hjas
Core Subject : Health, Science, Agriculture, Engineering,
Agriculture, Biological Sciences & Forestry Earth & Planetary Sciences Engineering Health Professions Medicine & Pharmacology
Heca Journal of Applied Sciences is a premier international scientific journal that publishes high quality original research articles, review articles, and case reports in the field of applied sciences. The journal mission is to encourage interdisciplinary research, promote knowledge sharing, and advance the development and application of innovative strategies. Heca Journal of Applied Scien is committed to excellence, relevance, and impact and provides a valuable resource for researchers, practitioners, and academics worldwide. Topics of this journal includes, but not limited to: Mathematics, Physics, Chemistry, Biology, Pharmacy, Informatics, Statistics, Marine Sciences, Fisheries Sciences, Veterinary Sciences, Medical Sciences, Nursing Sciences, Dentistry, Disaster Sciences, Environmental Sciences, Materials Science, Earth Sciences, Enviromental Sciences, Engineering, and Interdisciplinary research in the field of applied sciences.
Arjuna Subject : Umum - Umum
Articles 30 Documents
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In Vitro Test of Antioxidant Activity of Leilem Leaf Ethanol Extract (Clerodendrum minahassae) Using DPPH and FRAP Methods Malino, Angeline Priscillia; Kepel, Billy Johnson; Budiarso, Fona Dwiana Hermina; Fatimawali, Fatimawali; Manampiring, Aaltje Ellen; Bodhi, Widdhi
Heca Journal of Applied Sciences Vol. 2 No. 1 (2024): March 2024
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/hjas.v2i1.135

Abstract

The risk of degenerative diseases is increasing due to unhealthy lifestyles. Many people consume junk food, smoke, and do not protect themselves from sun exposure and pollution, exposing their bodies to free radicals. Free radicals can cause oxidative stress, necessitating the need for antioxidants to neutralize them. The leilem plant (Clerodendrum minahassae) is an endemic plant from North Sulawesi that is often used in traditional dishes and medicine. Moreover, leilem leaves are believed to be a source of natural antioxidants. This study aimed to determine the efficacy of leilem leaf ethanol extract as a source of antioxidants. The antioxidant potential was evaluated using phytochemical screening and antioxidant assays such as 2,2-Diphenyl-1-Picrylhydrazyl (DPPH) and Ferric Reducing Antioxidant Power (FRAP) methods, with ascorbic acid as a comparison. The level of antioxidant activity was measured by determining the IC50 value, which corresponds to the concentration of extract required to inhibit 50% of free radicals. The results of phytochemical screening showed that the ethanol extract of leilem (Clerodendrum minahassae) leaves contains active compounds such as phenols, flavonoids, saponins, tannins, steroids/triterpenoids, and alkaloids, indicating a high potential for antioxidant activity. The IC50 value for the DPPH method was 78.799 ppm, and the IC50 value for the FRAP method was 92.127 ppm. These results demonstrate that the ethanol extract of leilem leaves has strong antioxidant activity in both the DPPH and FRAP methods.
Constraints on Transport of Injured Victims after the Earthquake for Disaster Victims’ Evacuation Model Development: A Phenomenological Study Muhammad, Muhammad; Kamil, Hajjul; Adlim, Muhammad; Irwandi, Irwandi
Heca Journal of Applied Sciences Vol. 2 No. 1 (2024): March 2024
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/hjas.v2i1.139

Abstract

The big earthquake has an impact on the risk of injury to the victims. The wounded victim needed urgent medical assistance to survive. The effectiveness of this service depends heavily on the response speed of stakeholders. To increase the response rate, a detailed emergency response plan is needed. The study aims to identify restrictive factors in evacuating victims of post-earthquake injuries. This qualitative research has a phenomenological design. Participants in this study were 15 nurses who participated in the Disaster Victim Evacuation (DVE) process and who met the criteria with the purposive sampling technique. Data is collected through a deep interview (IDI) using open questions. Data analysis is done using the inductive content analysis method. Two themes contributed to the DVE process as an ERP, namely, 1) restriction of institutional support and 2) cancellation of evacuation routes. These findings have provided an overview of several factors that directly contributed to the implementation of the DVE process.
Exploring Determinants of Early Marriage Among Adolescent Girls in Banama Tingang, Indonesia Dini, Dini; Budinurdjaja, Pribakti; Nugroho, Adi; Istiqomah, Ermina; Fatimah, Husnul
Heca Journal of Applied Sciences Vol. 2 No. 1 (2024): March 2024
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/hjas.v2i1.146

Abstract

The number of early marriages in Central Kalimantan Province, Indonesia, has increased yearly. According to data from the Indonesian Office of Religious Affairs (KUA) and Office of Population and Civil Registration (Dukcapil), 14,540 couples married early between 2017 and 2021. This problem is caused by several factors, including teenagers' knowledge, parents' education, parents' income, parents' perceptions, and support from parents and peers. This research analyzes factors related to early marriage in Banama Tingang District, Pulang Pisau Regency. This quantitative study used a case-control design conducted in Banama Tingang District, Pulang Pisau Regency, in November 2022. The sample was determined using convenience or accidental sampling methods with 200 teenagers. The results of the Chi-Square analysis showed significant associations between early marriage and parental education (p=0.000) and parental income (p=0.022) but not with adolescent knowledge (p=1.000), parental perception (p=0.173), or parental and peer support (p=0.252). Logistic regression analysis revealed that parental education was the most dominant variable significantly associated with early marriage (p=0.000, Exp B=3.169). There was no significant relationship between adolescent knowledge, parental perception, or support from parents and peers with early marriage among adolescent girls in Banama Tingang District, Pulang Pisau Regency. In conclusion, parental education and income were found to be associated with the incidence of early marriage among young women in Banama Tingang District, Pulang Pisau Regency, with parental education being the most dominant factor.
Cultivating Energy Conscious Communities: The Path to Increased Efficiency Lodewijk, Dewi Putriani Yogosara; Yandri, Erkata; Murdiyansah, Novan; Ariati, Ratna
Heca Journal of Applied Sciences Vol. 2 No. 1 (2024): March 2024
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/hjas.v2i1.157

Abstract

This research addresses the critical need for increased energy efficiency in communities, emphasizing the pivotal role of community involvement and awareness. With the growing concern for sustainable energy practices, empowering communities to contribute to energy efficiency initiatives is imperative. Thus, the research aims to investigate and understand the role of community empowerment in increasing energy efficiency through community role and awareness. The theory applied to the research is the theory of planned behavior. A descriptive quantitative approach is employed, utilizing a structured questionnaire based on the Likert scale. Then, after the questionnaires were collected, statistical data processing was carried out using the T-test, F-test, and validity and reliability tests. The questionnaire gauges participants' perceptions and behaviors about energy efficiency, enabling a comprehensive analysis of the community's role and awareness in promoting sustainable energy practices. Preliminary findings indicate a positive correlation between community empowerment, heightened awareness, and increased energy efficiency. The Likert scale responses provide valuable insights into the areas where communities excel and areas that require targeted interventions. The data also reveal notable patterns in community behaviors and perceptions of energy consumption and conservation. In conclusion, the research underscores the significance of community empowerment as a catalyst for enhancing energy efficiency. The findings suggest that fostering community awareness and active involvement can lead to tangible improvements in sustainable energy practices. This study contributes valuable insights for policymakers, community leaders, and energy advocates seeking effective strategies to address the global energy challenge through localized, community-driven initiatives.
Evaluating Geothermal Power Plant Sites with Additive Ratio Assessment: Case Study of Mount Seulawah Agam, Indonesia Azhar, Fauzul; Misbullah, Alim; Lala, Andi; Idroes, Ghazi Mauer; Kusumo, Fitranto; Noviandy, Teuku Rizky; Irvanizam, Irvanizam; Idroes, Rinaldi
Heca Journal of Applied Sciences Vol. 2 No. 1 (2024): March 2024
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/hjas.v2i1.158

Abstract

Indonesia, a country rich in geothermal resources, has yet to fully exploit its potential, particularly in volcanic regions like Mount Seulawah Agam. This study investigates the application of the Additive Ratio Assessment (ARAS) method for the site selection of Geothermal Power Plants (GPP) in Indonesia. The ARAS method provides a systematic approach to evaluating and prioritizing geothermal development sites by integrating multiple criteria, including geological, environmental, and socio-economic factors. The study collects data from various sources and weights criteria using the Ordinal Priority Approach (OPA), incorporating expert opinions. The findings demonstrate the effectiveness of the ARAS method in identifying optimal locations for GPP development, ensuring sustainability and feasibility. The study also tests the ARAS method in existing GPP locations in Jaboi, Sabang, Indonesia, to investigate alignment with the results and validate the approach. Furthermore, the study presents recommendations for GPP site selection. This research emphasizes the significance of multi-criteria decision-making techniques in facilitating renewable energy projects. It promotes a more systematic and informed approach to geothermal energy development in Indonesia and other geothermal-rich regions.
The Emotional Journey: An Exploration of Women's Pre-Birth Anxieties Suryani, Lilis; Kamil, Hajjul; Hasanuddin, Hasanuddin; Yahya, Mustanir; Sulastri, Sulastri
Heca Journal of Applied Sciences Vol. 2 No. 2 (2024): September 2024
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/hjas.v2i2.182

Abstract

Pregnancy is an important period in a woman's life, but it is often accompanied by worries and fears that cause birth anxiety. Anxiety generally varies in intensity from mild to severe. Anxiety has a negative impact on the health of the mother and fetus, and it causes many women to refuse to give birth naturally. This study aims to explore the psychological and emotional dimensions of pregnant mothers' levels of anxiety toward childbirth, identifying the various concerns and factors that cause anxiety. The research design was non-experimental exploratory descriptive, conducted from May to June 2022. Respondents consist of multigravida women with a gestational age of 36–40 weeks (third trimester). The sample was chosen using purposive sampling. The data collection process uses a questionnaire in the form of semi-structured questions. The level of anxiety for multigravida women is moderate anxiety (36.0%), severe anxiety (32.0%), mild anxiety (24.0%), and 4.0% each with severe anxiety and not anxiety. The aspects found are generally feared to have a cesarean delivery (28.0%) and worry about the baby's condition (20.0%). Factors that cause anxiety are generally the condition of the baby (24.0%), illness suffered by the mother (12.0%), and negative experiences about childbirth (12.0%). Multigravida women generally experience various anxieties during labor, which are caused by various factors that influence them. There are aspects of anxiety that are different from previous studies. Screening for anxiety symptoms and education during the antenatal period are necessary.
Indigenous Knowledge and Herbal Medicine: Exploring the Ethnobotany of the Karo Tiganderket Tribe in Indonesia Singarimbun, Emalia; Elfrida, Elfrida; Indriaty, Indriaty
Heca Journal of Applied Sciences Vol. 2 No. 2 (2024): September 2024
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/hjas.v2i2.208

Abstract

This ethnobotanical study investigates the traditional use of medicinal plants in Tiganderket Village, Karo Regency, Indonesia, to document local plants' diversity, uses, and preparation methods for medicinal purposes. Utilizing a quantitative descriptive approach, data were gathered from 30 informants, including traditional healers and residents. The study identified 92 plant species from 44 families, with the Zingiberaceae family being the most dominant. Frequently used plants, such as Piper betle (belo) and Zingiber officinale (ginger), were primarily employed to treat common ailments like fever, boils, and joint pain. Boiling (74%) was the most common method of plant preparation, and leaves (50%) were the most frequently used plant parts. The Relative Frequency of Citation (RFC) revealed Acorus calamus and Curcuma longa as the most cited species. At the same time, 40 of 66 recorded diseases showed high Informant Consensus Factor (ICF) values, reflecting shared knowledge of plant use. This study highlights the rich preservation of traditional medicinal plant knowledge in Tiganderket Village, which continues to play a crucial role in local healthcare practices.
Explainable Deep Learning Approach for Mpox Skin Lesion Detection with Grad-CAM Idroes, Ghazi Mauer; Noviandy, Teuku Rizky; Emran, Talha Bin; Idroes, Rinaldi
Heca Journal of Applied Sciences Vol. 2 No. 2 (2024): September 2024
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/hjas.v2i2.216

Abstract

Mpox is a viral zoonotic disease that presents with skin lesions similar to other conditions like chickenpox, measles, and hand-foot-mouth disease, making accurate diagnosis challenging. Early and precise detection of mpox is critical for effective treatment and outbreak control, particularly in resource-limited settings where traditional diagnostic methods are often unavailable. While deep learning models have been applied successfully in medical imaging, their use in mpox detection remains underexplored. To address this gap, we developed a deep learning-based approach using the ResNet50v2 model to classify mpox lesions alongside five other skin conditions. We also incorporated Grad-CAM (Gradient-weighted Class Activation Mapping) to enhance model interpretability. The results show that the ResNet50v2 model achieved an accuracy of 99.33%, precision of 99.34%, sensitivity of 99.33%, and an F1-score of 99.32% on a dataset of 1,594 images. Grad-CAM visualizations confirmed that the model focused on relevant lesion areas for its predictions. While the model performed exceptionally well overall, it struggled with misclassifications between visually similar diseases, such as chickenpox and mpox. These results demonstrate that AI-based diagnostic tools can provide reliable, interpretable support for clinicians, particularly in settings with limited access to specialized diagnostics. However, future work should focus on expanding datasets and improving the model's capacity to distinguish between similar conditions.
Predictive Maintenance with Machine Learning: A Comparative Analysis of Wind Turbines and PV Power Plants Uhanto, Uhanto; Yandri, Erkata; Hilmi, Erik; Saiful, Rifki; Hamja, Nasrullah
Heca Journal of Applied Sciences Vol. 2 No. 2 (2024): September 2024
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/hjas.v2i2.219

Abstract

The transition to renewable energy requires innovations in new renewable energy sources, such as wind turbines and photovoltaic (PV) systems. Challenges arise in ensuring efficient and reliable performance in their operation and maintenance. Predictive maintenance using machine learning (PdM-ML) is relevant for addressing these challenges by enhancing failure predictions and reducing downtime. This study examines the effectiveness of PdM-ML in wind turbine and PV systems by analyzing operational data, performing data preprocessing, and developing machine learning models for each system. The results indicate that the model for wind turbines can predict failures in critical components such as gearboxes and blades with high accuracy. In contrast, the model for PV systems is effective in predicting efficiency declines in inverters and solar panels. Regarding operational complexity, each model has advantages and disadvantages of its own, but when compared to conventional maintenance techniques, both provide lower costs with greater operational efficiency. In conclusion, machine learning-based predictive maintenance is a promising solution for enhancing the reliability and efficiency of renewable energy systems.
Potential for Electrical Energy Savings in AC Systems by Utilizing Exhaust Heat from Outdoor Unit Hamja, Nasrullah; Yandri, Erkata; Hilmi, Erik; Uhanto, Uhanto; Saiful, Rifki
Heca Journal of Applied Sciences Vol. 2 No. 2 (2024): September 2024
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/hjas.v2i2.223

Abstract

This study explores the potential of utilizing waste heat from air conditioning systems, one of the largest consumers of electrical energy. Currently, most of the waste heat generated by outdoor units is typically released into the environment without being utilized, leading to missed energy-saving opportunities. This study analyzes the potential for improving electrical energy efficiency in air conditioning (AC) systems by harnessing this waste heat. Two primary approaches are evaluated: the first is the use of waste heat for domestic water heating, and the second is the conversion of heat into electrical energy using thermoelectric generators (TEG). The results of this research indicate that both methods have the potential to improve overall energy efficiency significantly. However, challenges related to conversion efficiency and integration of these technologies with AC systems require further, more specific studies. These findings are expected to contribute to more efficient and environmentally friendly cooling systems by optimizing technology and overcoming barriers to wider implementation.

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