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All Journal Al-Ijtima`i: International Journal of Government and Social Science Jurnal Sisfokom (Sistem Informasi dan Komputer)
Pirmanto, Dovel
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Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Law, Crime, Criminology & Criminal Justice Social Sciences

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Double Exponential Smoothing Forecasting Food Crop Yields Using Geographic Information Systems Pirmanto, Dovel
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 13, No 2 (2024): JULY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v13i2.2069

Abstract

Food is a source of basic needs for every living creature, so food security is an interesting issue for every country. This raises problems regarding food and land use, especially in Sungai Penuh City. Food problems arise due to a lack of information regarding appropriate land use and the productivity of the land itself. In the current industrial era 4.0, forecasting can be done using information technology tools that provide convenience and efficiency in forecasting times and can be integrated with geographic information systems. The forecasts made by the community are based on past experience without considering the factors that influence crop yields, so that they can cause losses both in terms of time and costs. Apart from that, less accurate predictions of food yields can lead to less than optimal development of food security which has an impact on meeting food needs. This research involved respondents from the Department of Agriculture and Food Security, namely agricultural and food experts. The method for collecting data in this research is observation and interviews. This research analyzes harvest data for the 2018-2023 period sourced from the Central Statistics Agency using the Double Exponential Smoothing method by considering error values with α = 0.1 and 0.5 and β = 0.1 and 0.5. The calculation of the smallest error value is: ME = 80.92, MAD = 5.58, MAPE = 11%, MSE = 52.69 by combining the value of α= 0.1 and the value of β = 0.1 to produce a prediction of the corn harvest in Kumun Debai District in 2024 of 45 tons and year 2025 as much as 40 tons.
Double Exponential Smoothing Forecasting Food Crop Yields Using Geographic Information Systems Pirmanto, Dovel
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 13 No. 2 (2024): JULY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v13i2.2069

Abstract

Food is a source of basic needs for every living creature, so food security is an interesting issue for every country. This raises problems regarding food and land use, especially in Sungai Penuh City. Food problems arise due to a lack of information regarding appropriate land use and the productivity of the land itself. In the current industrial era 4.0, forecasting can be done using information technology tools that provide convenience and efficiency in forecasting times and can be integrated with geographic information systems. The forecasts made by the community are based on past experience without considering the factors that influence crop yields, so that they can cause losses both in terms of time and costs. Apart from that, less accurate predictions of food yields can lead to less than optimal development of food security which has an impact on meeting food needs. This research involved respondents from the Department of Agriculture and Food Security, namely agricultural and food experts. The method for collecting data in this research is observation and interviews. This research analyzes harvest data for the 2018-2023 period sourced from the Central Statistics Agency using the Double Exponential Smoothing method by considering error values with ? = 0.1 and 0.5 and ? = 0.1 and 0.5. The calculation of the smallest error value is: ME = 80.92, MAD = 5.58, MAPE = 11%, MSE = 52.69 by combining the value of ?= 0.1 and the value of ? = 0.1 to produce a prediction of the corn harvest in Kumun Debai District in 2024 of 45 tons and year 2025 as much as 40 tons.
Library Strategies in Supporting National Literacy Development in Indonesia Pirmanto, Dovel; Efrinandes, Haza; Kumala Sari, Rani; Prayera, Aulia Dwinda
Al-Ijtima`i: International Journal of Government and Social Science Vol. 11 No. 1 (2025): Al-Ijtima`i: International Journal of Government and Social Science
Publisher : Fakultas Ilmu Sosial dan Ilmu Pemerintahan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/jai.v11i1.8011

Abstract

Library management is an important aspect in increasing literacy interest among students. Mistakes in choosing strategies and management can have a negative impact on student visits and literacy. This study aims to analyze the role of library management in increasing students literacy interest at Kerinci 1 State Junior High School. The research method used in this study is qualitative descriptive research, data was collected through observation, interviews, and documentation from various related parties, including librarians, teachers, and students. The results of the study show that good library management strategies, such as managing a diverse collection of books, providing comfortable facilities, and literacy programs such as reading clubs and reading competitions, have a significant impact on increasing students interest literacy. In addition, support from the school in terms of budget, librarian training, and technological innovation, such as a digital library system, also strengthen the library appeal to students. In conclusion, effective and structured library management is able to create a conducive learning environment and support students interests literacy at Kerinci 1 State Junior High School.
Co-Authors Efrinandes, Haza Kumala Sari, Rani Prayera, Aulia Dwinda