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All Journal Enthalpy : Jurnal Ilmiah Mahasiswa Teknik Mesin JIPITI: Jurnal Pengabdian kepada Masyarakat
Aswani, Aswani
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Computer Science & IT Economics, Econometrics & Finance Law, Crime, Criminology & Criminal Justice Mechanical Engineering Other

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Analisis Ketepatan Metode Exponential Smoothing dan Metode Trend dalam Mengestimasi dan Meramalkan Volume Curah Hujan di Kota Kendari Aswani, Aswani; Pimpi, La; Dwiyanto, M. Riski Imam
Enthalpy : Jurnal Ilmiah Mahasiswa Teknik Mesin Vol 9, No 2 (2024): Enthalpy: Jurnal Ilmiah Mahasiswa Teknik Mesin
Publisher : Teknik Mesin Universitas Halu Oleo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55679/enthalpy.v9i2.49002

Abstract

The importance of information about the weather, especially information about rainfall that is more precise is needed so that research is needed to estimate and predict the occurrence of rain. There have been many studies reporting how to identify rainfall forecasts, but they still have limitations, especially in identifying rainfall in detail in each province in Indonesia. In this study, forecasting rainfall in Kendari City was carried out using two different time series methods, namely the trend method and the exponential smoothing method. The use of these two different methods was carried out with the aim of comparing the accuracy of the two models in predicting time series data, especially rainfall data in Kendari City. This research was conducted from January 2023 to June 2023, using rainfall data from Kendari City. In this study, the following conclusions were obtained: 1) the volume of monthly rainfall in Kendari City fluctuated, which spread in the range of 0 – 578.60 mm with an average of 228.26 mm per month, where on average the highest rainfall occurred in June and the lowest rainfall occurred in October; 2) the Trend method, whether it's Linear Trend, Quadratic Trend or Exponential Growth Trend, is not appropriate for estimating and forecasting Kendari City's monthly rainfall because the resulting estimate has quite high residuals with a relatively low level of accuracy; 3) the Winter's Exponential Smoothing method is quite good for estimating and forecasting Kendari City's monthly rainfall because the resulting estimate has quite low residuals, with a relatively high degree of accuracy; and 4) based on the RMSE, MAE and BIC criteria, it shows that the Winter's Exponential Smoothing model with an alpha (level) parameter value of 0.85, a gamma (trend) of 0.05 and a delta (seasonal) of 0.001 provides a better level of estimation and forecasting accuracy when compared to the Trend model, both Linear Trend and Quadratic Trend. Keywords: Rainfall, exponential smoothing, trend method, time series
Edukasi Kesehatan tentang Tuberkulosis: Membangun Komitmen Masyarakat untuk Pengendalian TBC Kasmawati, Henny; Hikmah, Nurull; Trinovitasari, Nita; Jannah, Sitti Raodah Nurul; Malina, Rachma; Suryani, Suryani; Nuralifah, Nuralifah; Aswani, Aswani
JIPITI: Jurnal Pengabdian kepada Masyarakat Vol. 2 No. 4 (2025): November 2025 - JIPITI: Jurnal Pengabdian kepada Masyarakat
Publisher : PT. Technology Laboratories Indonesia (TechnoLabs)

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Abstract

Tuberculosis (TB) is an infectious disease that is still a global health problem, caused by the bacterium Mycobacterium tuberculosis, which is acid-resistant and mainly attacks the lungs, but can also attack other organs. This disease can affect people of all ages, including babies, children, adults, and the elderly. TB transmission occurs through the air from people who cough or sneeze, with the main factors affecting public health being environmental factors and behaviours, such as uncovered coughing and poor sanitation. TB cases in Southeast Sulawesi Province have shown a significant upward trend in recent years, with the incidence rate continuing to rise every year. The success of TB treatment is influenced by a variety of factors, including medication adherence, which is a major challenge to avoid the emergence of drug resistance, such as TB-MDR. The Government of Indonesia has issued policies and focuses on reducing TB incidence through education and socialisation to encourage active community involvement in TB control to achieve the national target by 2030.
Co-Authors Dwiyanto, M. Riski Imam Hikmah, Nurull Jannah, Sitti Raodah Nurul Kasmawati, Henny Malina, Rachma Nuralifah Nuralifah, Nuralifah Pimpi, La Suryani Suryani Trinovitasari, Nita