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All Journal Statistika Bulletin of Electrical Engineering and Informatics Journal of Research and Advances in Mathematics Education Jurnal Manajemen & Keuangan Jurnal Ilmiah Peuradeun Narra J Proceedings of International Conference on Multidiciplinary Research International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET) Aceh International Journal of Science and Technology Ekonomikalia Journal of Economics Journal of Educational Management and Learning Infolitika Journal of Data Science Media Penelitian dan Pengembangan Kesehatan Journal on Mathematics Education
Hizir Sofyan
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Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Public Health Social Sciences Other

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Rainfall forecasting by utilizing adaptive neuro-fuzzy inference system in Aceh Besar District Sofyan, Hizir; Tatsara, Nidya; Yolanda, Yolanda; Usman, Tarmizi; Irvanizam, Irvanizam
Bulletin of Electrical Engineering and Informatics Vol 14, No 4: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i4.8441

Abstract

Forecasting is a common thing to capture events in future based on previous information. However, some classical time-series methods, including moving average (MA), autoregressive integrated moving average (ARIMA), seasonal autoregressive integrated moving average (SARIMA), and simple exponential smoothing (SES), have limitations in predicting nonlinear time-series data. Therefore, this paper aims to utilize the adaptive neuro-fuzzy inference system (ANFIS) model, a combination of the fuzzy inference system (FIS) and neural network architecture to forecast a nonlinear rainfall problem. This model can capture the non-linear data, adaptation capability, and speedy learning capacity. We used the data consisting of temperature (ºC), humidity (%), and wind speed (km/hour) as input variables and rainfall (millimeter) as an output variable at two stations and one rain post in Aceh Besar District, from January 2009 to December 2019. The results demonstrated that ANFIS with generalized Bell (gBell) membership function on epoch 10 can successfully conduct rainfall forecasting in Aceh Besar District with the best-predicted value. The mean absolute percentage error (MAPE) of the prediction at the Meteorology, Climatology, and Geophysics Agency (MCGA) Station or Badan Meteorologi, Klimatologi dan Geofisika (BMKG) Indrapuri is 6.73% for 80% of the training dataset and 20% of the testing dataset.
ANALYSIS OF THE COMMUNITY FUND MANAGEMENT FOR PREVENTION AND HANDLING OF COVID-19 DISEASE IN BENER MERIAH ACEH, INDONESIA Mustaqim; Hizir Sofyan; Heru Fahlevi
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 2 No. 7 (2023): JUNE
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijset.v2i7.169

Abstract

The impact of COVID-19 on national finances and the national economy is that the management of the government's budget becomes the focus and vital. Losses in the economic aspect such as a large number of unemployed due to the dismissal of workers that is affecting the economic and social aspects later on. As a result, the role and function of the government are needed to deal with the COVID-19 pandemic. The purpose of this study was to find out the planning process for using village funds in preventing and handling COVID-19, and also the budgeting process for using village funds in preventing and handling COVID-19, and the process of monitoring and evaluating the use of Village Funds in prevention. and handling of COVID-19. The type of research used in this study is qualitative. The data collection technique is using the interview method. This study used a purposive sampling technique, the samples in this study were DPMK (Village Community Empowerment Service) secretaries, BPBD (Regional Disaster Management Agency) secretaries, Subdistrict headsectaries, and Village Government. Data analysis in this study is the data collection, data reduction, data presentation, and summing up the conclusions. The first results of the research are the planning process for using village funds in the prevention and handling of COVID-19 which is conducted from the Regency, District, and Village levels. The second result is the process of budgeting for the use of village funds in the prevention and handling of COVID-19, activities include: refocusing activities and budget reallocation, funding in emergencies. Moreover COVID-19 funding policy is also reallocating and refocusing APBK, and management mechanisms finance for handling the impact of COVID-19 at the village level. The third result is the monitoring process and evaluating of the use of Village Funds in the prevention and handling COVID-19 which is carried out through regional leadership plus communication forum meetings, based on activities that have been and will be carried out by the Regional Work Unit (SKPK) and village government.
The Influence of Identity Politics within Families on First-Time Voters in Aceh Faisal, Naidi; Sofyan, Hizir; M. Syam, Hamdani; Jamil, T. M.; Yunus, Saifuddin
Jurnal Ilmiah Peuradeun Vol. 13 No. 3 (2025): Jurnal Ilmiah Peuradeun
Publisher : SCAD Independent

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26811/peuradeun.v13i3.1544

Abstract

This article explores the transmission of identity politics within families and its impact on the attitudes and political choices of first-time voters in Aceh. The significance of this study is emphasized by the electoral periods in Aceh and Indonesia, which are frequently influenced by strong identity politics. The study addresses two main questions: How does family identity influence the political understanding of first-time voters, and how does the transmission of political identity occur within families? Employing a qualitative case study approach, the research collected data through interviews with first-time voters from UIN Ar-Raniry and Universitas Malikussaleh. Findings reveal that in the context of Aceh, political identity, entrenched within family dynamics through political affiliations, religious values, and personal experiences, significantly shapes the political perspectives of first-time voters. Predominantly, the paternal figure acts as the primary agent of socialization, disseminating political orientations through family discussions and daily interactions, often without allowing for critical evaluation. This research confirms that families not only serve as institutions influencing and transmitting political views to first-time voters in Aceh but also restrict their ability to conduct independent political assessments due to the reinforcement of traditional and religious values in this transmission.
Co-Authors A.A. Ketut Agung Cahyawan W Agus Hendra Al Rahmad Ahmad Watsiq Maula Apriliansyah, Feby Arif Saputra, Arif Asep Rusyana Bahrun Bahrun Binti Firdaus, Shausan Dahlawy, Arriz Dimas Chaerul Ekty Saputra Earlia, Nanda Elly Elly Erliza Noor Faisal, Naidi Ghazi Mauer Idroes Hamdani M. Syam, Hamdani Heru Fahlevi Ibrahim, Husaini Idroes, Ghazi M. Irvanizam, Irvanizam Ismail Ismail Istakri, Dedi Jamil, T. M. Kemala, Pati Khairul, Moh Kruba, Rumaisa Linda Wahyuna Mardalena, Selvi Marshanda, Devira Marzuki Marzuki Maulana, Aga Maulydia, Nur Balqis Mikyal Bulqiah, Mikyal Mudatsir Mudatsir Muhamad Safiih Lola Muhammad Adam, Muhammad Muhammad Nasir Muhammad Subianto Muliadi Munawar Munawar Mustaqim Muzailin Affan Nasir Usman Noviandy, Teuku R. Nur Azmi, Nur Nurdjannah J. Niode Oktari, Rina S. Oktari, Rina Suryani Oktavia, Rini Pramana, Setia Purwoko, Agus RAHAYU, LATIFAH Rahmadhania Rahmah Johar Rasyid, Jusnaini Rimadeni, Yeni Rina S. Oktari Rinaldi Idroes Rusli Yusuf Safrizal Rahman Safrizal Rahman, Safrizal Salmawaty Arif Sasmita, Novi Reandy Suhendra, Rivansyah Syaridin, Syaridin Syazana, Nurul Syukri, Shara Tatsara, Nidya Teuku Rizky Noviandy TRINA EKAWATI TALLEI Ulfa, Elvitra Mutia Usman, Said Usman, Tarmizi Usnul, Uliyatul Yolanda Yolanda, Yolanda Yunus, Saifuddin