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BERKALA SAINSTEK
Published by Universitas Jember
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Berkala SAINSTEK (BST) merupakan jurnal ilmiah yang memuat artikel hasil penelitian di bidang sains dan teknologi. Secara khusus BST diperuntukan bagi penulis internal mahasiswa Universitas Jember bidang fisika, matematika, biologi, kimia, teknik sipil, teknik mesin, teknik elektro dan sistem informasi. Namun BST juga menerima artikel dari penulis eksternal sepanjang memenuhi kriteria dan dalam lingkup bidang sains dan teknologi.
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Articles 4 Documents
Search results for , issue "Vol. 13 No. 1 (2025)" : 4 Documents clear
Generation of Fractal Objects with Iterated Function System on the Developments of Trellis Ornament Designs Purnomo, Kosala Dwidja; Fatimah, Siti; Juliyanto, Bagus
BERKALA SAINSTEK Vol. 13 No. 1 (2025)
Publisher : Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/bst.v13i1.25656

Abstract

Fractals are one of a mathematical concept that provides artistic value and is therefore widely used to design various kinds of objects. The purpose of this study is to obtain various trellis ornament designs generated from fractal objects. Some fractal objects that will be used are Koch Snowflake (m,n,c), Koch Anti-Snowflake (m,n,c) and dragon curve. The basic trellis pattern is built from basic geometry, namely line segments, rhombuses and elliptical curved lines with certain sizes. In this study, the generation of fractal objects was carried out using the Iterated Function Systems (IFS) method. In this case, IFS is carried out by utilizing Affine transformations, namely dilation, rotation and reflection. Related to the generation of the Koch Snowflake curve (m,n,c), an m-sided polygon with 3≤m≤5 is used and the side looping form uses an n-sided polygon with 3≤n≤5. The c value or the middle segment divisor used is 0.3; 0.2; and 0.19. The dilation scale on the dragon curve is 0.6≤k≤9.8 and the angle θ=90°. The iteration used to generate the Koch curve is 2 iterations while the dragon curve is 15 iterations. By taking several parameters, a trellis ornament design consisting of 5 patterns is obtained and each pattern has 3 variations of trellis motifs.  
Analysis of the Time of Dew Occurrence on the DCDB Panel at PLN GIS 150 kV Gunungsari Surabaya Rachmawati, Arum Vonie; Agustinur, Satya Cantika; Indralaksono, Rio; Syahriannanda, Kinanta; Riandana, I Made Niantara; Alim, Andu Mahdy; Yantidewi, Meta; Dzulkiflih, Dzulkiflih
BERKALA SAINSTEK Vol. 13 No. 1 (2025)
Publisher : Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/bst.v13i1.45408

Abstract

The DCDB panel is a panel for distributing direct current electricity. Inside the panel there are cables to carry current which affects the temperature of the panel. The greater the current flowing, the greater the resulting temperature. Dew that occurs on the DCDB panel can cause various kinds of electrical disturbances, so the DCDB panel must be kept dry and protected from condensation. The dew parameter is the dew point. In order to minimize the occurrence of dew on the DCDB panel, it is necessary to know the prediction or estimate of the occurrence of dew on the DCDB panel by evaluating the Rectifier room temperature with the external environmental weather temperature. Therefore, research was carried out for 10 days in the PT. PLN (Persero) GIS 150 kV Gunungsari Rectifier room, Surabaya, which contained a DCDB panel. The data obtained is temperature monitoring data in the Rectifier room, DCDB panel body, and DCDB panel door. From this data, observations are made to see the temperature changes that occur in the panel. Environmental weather data is obtained via the Weather Underground website. The research data obtained was analyzed using RMSE and MAPE to check errors and graph plotting using SPSS. Based on the research conducted, it can be concluded that the dew point is estimated to occur at 03.30-05.00 in July with a temperature range of 21.3℃-23.3℃.
The Decision Support System for Determining Poor Families Who Receive Blt Uses The Simple Additive Weighting (SAW) Method Case Study: Batubulan Village Perbekel Office Dirgayusari, Ayu Manik; Dharsika, I Gde Eka; Diani, Ni Made Ayu Mita
BERKALA SAINSTEK Vol. 13 No. 1 (2025)
Publisher : Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Many government programs have been created to overcome poverty in an area. However, the assistance provided is not on target so it has not reached the hands of the people who really need it. This happened because the determination of prospective poor families to receive BLT was not optimal. Seeing this, the author helped the Head of Social Welfare by creating a Decision Support System for Determining Poor Families Using the Simple Additive Weighting (SAW) Method. Case Study: Batubulan Village Perbekel Office so that it could provide two categories namely poor and not poor. The SAW method was chosen because it can determine the weight value of each criterion and then continue with the ranking process which will select a number of alternatives, in this case families that are categorized as poor families. With this ranking process, correct assessments and accurate results are obtained both in manual calculations and system calculations.
Negative Binomial Regression Modeling to Analyze the Determinants of Infant Mortality in West Java Province Fadri, Firda; Firmansyah, Ari; Erlanda, Victor Alesyus
BERKALA SAINSTEK Vol. 13 No. 1 (2025)
Publisher : Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/bst.v13i1.53686

Abstract

The Infant Mortality Rate (IMR) is an important indicator in assessing the quality of public health and the success of health programs in a region. Proper handling of factors that determine IMR is essential to reduce this number. The data used were 27 districts/cities in West Java in 2022 with predictor variables including the number of health workers, percentage of poor population, percentage of iron tablet consumption, percentage of clean and healthy living behavior, percentage of exclusive breastfeeding, and percentage of low birth weight babies. The results of the analysis with Poisson Regression showed overdispersion so that IMR modeling was carried out using Negative Binomial Regression. The AIC value for the Negative Binomial Regression model was 305.630 and the BIC value was 315.997. The deviance ratio and Pearson's Chi-square approached one, indicating effective handling of overdispersion. The only significant variable affecting IMR was the percentage of clean and healthy living behavior. This shows the importance of increasing clean and healthy living behavior as the main strategy for reducing IMR in West Java Province.

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