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Pengolahan dan Analisis Data Untuk Mendukung Program Desa Cinta Statistik di Desa Sokawera Alya Fauziyah; Ria Novita Awalia Ramadhani; Ernawati Prahesta Kurnia Sari
Indonesian Journal of Community Service and Innovation (IJCOSIN) Vol 4 No 1 (2024): Januari 2024
Publisher : LPPM IT Telkom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/ijcosin.v4i1.1313

Abstract

Sokawera Village, Patikraja Sub-district, Banyumas Regency is one of the villages designated as an example of Desa Cinta Statistik (Desa Cantik). Desa Cantik data collection activities have been carried out using a survey with a paper questionnaire. The problem is that the results of the survey questionnaire have not been tabulated and analyzed due to the limited ability of village staff in data processing. The purpose of this community service is to assist Sokawera Village in processing the results of the Desa Cantik program survey. The methods used include observation and preparation, coordination, data collection, formatting, data entry, data validation, data tabulation, and descriptive analysis. Based on the descriptive analysis that has been carried out, Sokawera Village, which consists of 15 RT and 4 RW, has a total population of 3215 residents with 1602 male and 1603 female residents. In addition, data on social information of family members, education, births and deaths, health, business, land and livestock tenure, asset ownership, government development and security were also obtained. This PKM-PM program is expected to assist Sokawera Village in processing the results of the Desa Cantik program survey and have a positive impact involving an increased understanding of the social, economic and welfare conditions of the population, as well as opening up opportunities for the preparation of more targeted programs to improve the quality of life of the Sokawera Village community in a sustainable manner.
Peramalan Cuaca Harian di Kota Purwokerto Menggunakan Metode Rantai Markov Sausan; Ernawati Prahesta Kurnia Sari; Abdurrahman Muhammad Umar Lahmadi
JMT (Jurnal Matematika dan Terapan) Vol. 6 No. 1 (2024): JMT (Jurnal Matematika dan Terapan)
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Science, Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jmt.6.1.3

Abstract

Daily weather forecasting is an important aspect in anticipating and managing the impact of weather changes that can affect various sectors of life, such as agriculture, transportation, tourism, and other activities. Purwokerto City, which is located in the middle of Java Island, Indonesia, is one of the cities that faces fluctuating weather changes. This research aims to perform daily weather forecasting in Purwokerto City using the Markov Chain Method, a statistical approach that has been widely used in various fields including weather forecasting. This research uses daily weather data in Purwokerto City on July 5 to 10, 2023. The data was obtained from the Meteorology, Climatology, and Geophysics Agency (BMKG) Purwokerto City. The weather data is based on the weather categories of cloudy, light rain, moderate rain, and thunder rain, as well as observation time which includes morning, afternoon, evening, and night. The results showed that the daily weather data from July 5 to 10, 2023 analyzed showed significant weather variations. However, cloudy weather was the most dominant condition during that week.