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All Journal Journal of Natural Sciences Jurnal Informasi Sains dan Teknologi (ISAINTEK)
Prastio, Bayu
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Agriculture, Biological Sciences & Forestry Computer Science & IT Environmental Science Other

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Perbandingan Data Cuaca Dari Alat Digital dan Konvensional di Stasiun Meteorologi Raja Haji Abdullah-Karimun Prastio, Bayu; Mardalena, Tri; Dzirrusydi, Zalmi
Jurnal Informasi, Sains dan Teknologi Vol. 7 No. 2 (2024): Desember: Jurnal Informasi Sains dan Teknologi
Publisher : Politeknik Negeri FakFak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/isaintek.v7i2.221

Abstract

This study compares weather data from conventional and digital measurement tools at Raja Haji Abdullah-Karimun Meteorological Station and evaluates the correlation value between the two. Descriptive quantitative methods were used to analyze weather data from January 2022 to December 2023. Results showed significant differences between weather data from conventional and digital tools. The Mann-Whitney statistical test showed a probability value (sig) less than the set significance level (0.000 < 0.05), indicating a significant difference. This finding highlights the importance of calibrating measurement tools to ensure accuracy and consistency in observations. On temperature and humidity measurements, the Mann-Whitney test showed sufficient statistical evidence to reject the null hypothesis (H0) and accept the alternative hypothesis (H1), stating a significant difference between digital and conventional measurements. In conclusion, this study emphasizes the importance of continuous validation of weather measurement methods as well as the need for adjustment and improvement of measurement tools to ensure reliable results. This research makes an important contribution to the understanding of the comparison of conventional and digital weather measurement tools, which can serve as a basis for the development of future weather observation technologies.
Identifikasi Hama Dan Strategi Pengendalian Pada Perkebunan Kopi Arabika (Coffea arabika L.) Di Kecamatan Naman Teran Kabupaten Karo Prastio, Bayu; Setiawan, Andi; Warsito, Kabul
Journal of Natural Sciences Vol 6, No 2 (2025): Journal of Natural Sciences Juli
Publisher : Mahesa Research Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34007/jonas.v6i2.932

Abstract

The high incidence of pest attacks in coffee plantations has led to a decline in both the productivity and quality of coffee. As an initial step in addressing this issue, it is essential to collect data on the types of pests that attack coffee plantations in a particular area. This study aimed to identify pest species and determine appropriate control strategies in Arabica coffee (Coffea arabica L.) plantations in Sigarang-garang Village, Naman Teran Subdistrict. Pest observation was conducted using the random sampling method, and the data were analyzed descriptively. The results showed that the main pests found in the coffee plantations of Sigarang-garang Village included the coffee berry borer (Hypothenemus hampei), coffee branch borer (Xylosandrus spp.), and green scale insect (Coccus viridis). Effective pest control requires several specific measures, including the application of pesticides, regular pruning, and crop rotation.
Co-Authors Andi Setiawan Dzirrusydi, Zalmi Mardalena, Novi Tria Warsito, Kabul