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International Journal of Natural Science and Engineering
ISSN : 26151383     EISSN : 25496395     DOI : -
Core Subject : Engineering,
International Journal of Natural Sciences and Engineering (IJNSE) is an independent, quarterly basis online & print version, open access, peer reviewed, non-profit journal that publishes original research, short communications, review articles or essays, and book reviews relevant to Natural Sciences and Engineering. IJNSE is published by the Universitas Pendidikan Ganesha (Undiksha), Indonesia.
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Articles 5 Documents
Search results for , issue "Vol. 6 No. 2 (2022): Juli" : 5 Documents clear
Early Warning System for Potential Fires in the Dry Season Based on the Internet of Things Maitimu, Excel Barthel; Widiasari, Indrastanti Ratna
International Journal of Natural Science and Engineering Vol. 6 No. 2 (2022): Juli
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (385.937 KB) | DOI: 10.23887/ijnse.v6i2.38266

Abstract

Almost every year, forest and land fires occur in Indonesia, the impact of which is felt by the surrounding community and neighboring countries. Such as the recent fires in East Kotawaringin and Katingan, Central Kalimantan. The land affected by the fire is believed to be a concession belonging to a Malaysian company. According to the Ministry of Environment and Forestry, the area of forest and land fires is calculated based on an analysis of Landsat 8 OLI/TIRS satellite imagery, which is compared (overlay) with data on the distribution of hotspots. In this research, the Internet of Things (IoT) can be useful in preventing forest fires that usually occur on the slopes of Merbabu during the dry season. IoT sensor technology can detect air humidity, temperature, and wind speed parameters for fires in the dry season. This study aims to warn of potential forest and land fires in Mount Merbabu by providing notifications from IoT sensors. From the sensor testing that has been done, it can be seen that the sensor can provide information accurately and in real-time. The tests were carried out in three places: at the foot of Mount Merbabu, the SWCU FTI Peak, and the rice fields. The different results in three places with different vegetation indices indicate that the design of a fire potential warning system based on the Internet of Things in the dry season (July – September) can be used in areas with a low vegetation index on the slopes of Mount Merbabu, the majority of which are dry and easy grasslands burnt.
Effect of Salt Concentration and Salting Time on Salting Catfish (Clarias gariepinus) Lestari, Ani; Karmelia, Mila; Asnita, Yuli; Sakdiah, Halimatus; Putri, Syafia Eka; Syamsi, Nur; Marta, Eni
International Journal of Natural Science and Engineering Vol. 6 No. 2 (2022): Juli
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (253.745 KB) | DOI: 10.23887/ijnse.v6i2.41717

Abstract

The community's processing of dried salted fish is still traditional, so the use of concentration and duration of salting differs based on the individual. The consumer acceptance or preference level for this dried salted catfish must be considered. This study aimed to analyze the effect of salt on drying fish in the sun to test the resistance and quality of fish. There were two combined treatment factors: salt concentration (15%, 25%, 35%) and salting time (5 hours, 7 hours, and 9 hours). The hedonic test was carried out using the Kruskal-Wallis method and SPSS 16 to see the texture, appearance, and aroma scores. It was continued with Duncan's further test if it was significantly different. To see the best products use the Bayes method. The results showed that the best product for processing dried salted catfish was the 15% salt concentration treatment and 7 hours of salting time, which obtained an organoleptic score of 7 with quality specifications for appearance intact, clean, slightly dull, taste quality very good, species-specific, without additional taste. , the quality of the texture is not too hard and not brittle.
Identification of Land Fire Risk Areas with Random Forest Using Landsat Image Data 8 OLI Radandima, Grandy Umbu Endalu Radandima
International Journal of Natural Science and Engineering Vol. 6 No. 2 (2022): Juli
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (741.712 KB) | DOI: 10.23887/ijnse.v6i2.48686

Abstract

Land fire is a complex and serious problem affecting several human life sectors. Stimulating the occurrence of land fires caused by long dry seasons and erratic rainy seasons causes plants to dry up and die. Illegal land burning by irresponsible people for expansion and other interests. This study uses quantitative methods. The variables used are vegetation index values ​​obtained from Landsat 8 OLI images. The result of this research is that data classified using the random forest algorithm at RStudio produces a default number of 500 trees, and the number of variables tested in each split is 2. So, the estimated error rate of 2 out of the bag is 0.47%. Prediction and confusion matrix - train 403 data are less risky "0" (middle risk) of a fire, and there are 22 data of high risk of "1" (high risk) of a fire, with an accuracy value of 0.9914, 1. While the second prediction of the confusion matrix - test data, there are 167 data less risky "0" (middle risk) of fire. There is 1 data with a high risk of “1” (high risk) of a fire. There are seven high-risk data "1" (high risk) of fire, with an accuracy value of 0.9943, indicating a more accurate assessment of model accuracy, and the range is still good, around 96% to 99%. There are several incorrect classifications in the prediction and confusion matrix – train, which is slightly higher than the predictions of the two-confusion matrix – test, and sensitivity: 1.0000, which is the same in both prediction and confusion matrix – train & tes.
Contribution of Early Breastfeeding Initiation to Onset of Lactation in Postpartum Mothers and Breastfeeding in Midwives Independent Practice Luh Mertasari; Made Juliani
International Journal of Natural Science and Engineering Vol. 6 No. 2 (2022): Juli
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (207.722 KB) | DOI: 10.23887/ijnse.v6i2.51520

Abstract

After the baby is born, the production and release of breast milk do not occur immediately because there is still a transition of hormones in the mother’s body. Early Breastfeeding Initiation (IMD) is crucial in stimulating breast milk production. This study aimed to analyze the contribution of IMD to the onset of lactation. This type of research is pre-experimental with a one-shot case study design. The population in the implementation of this study were all couples of post-partum and breastfeeding mothers and their babies who gave birth and met the inclusion criteria. This study used a sample of 36 people. Collecting data was carried out using the observation and post-test methods. The Spearman rank correlation test analyzed data. The analysis results show a p-value of 0.000 0.05 and a correlation coefficient of 0.601, so H0 is rejected, and H1 is accepted. It shows a strong, significant, and unidirectional contribution between the implementation of IMD and the onset of lactation. The results of this study can then be used as a reference for further breastfeeding guidance strategies both in the third trimester of pregnancy and in the postpartum period.
The Relationship of Fast Food Towards The Event of Acne Vulgaris in Students Laila Fajri; Prima Minerva
International Journal of Natural Science and Engineering Vol. 6 No. 2 (2022): Juli
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (287.526 KB) | DOI: 10.23887/ijnse.v6i2.51640

Abstract

Acne vulgaris is a skin disease caused by inflammation of the polysebaceous follicles (skin oil glands). Acne, if left untreated, can lead to depression and a crisis of confidence for the sufferer. Acne vulgaris can occur at any age due to several factors, one of which is food. This study aimed to analyze the level of acne vulgaris, determine the consumption pattern of fast food, and the relationship between fast food and the incidence of acne (acne vulgaris) in students. This type of research is analytic with a cross-sectional approach. The research sample was 52 people using a consecutive sampling method. Data analysis used univariate analysis and bivariate analysis with a chi-square test. The results showed that the highest acne vulgaris was in the moderate category, namely 23 people (44.2%). Fast food consumption patterns were in a bad category, namely 22 people (42.3%), so there was a relationship with a significance value of 0.018 < 0 0.05 between fast food consumption behavior and the incidence of acne (acne vulgaris) in students. It was concluded that the highest incidence of acne (acne vulgaris) was in the moderate category, and the highest consumption pattern of fast food was in the bad category. There was a positive and significant relationship between fast food consumption behavior and the incidence of acne (acne vulgaris) in college students.

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