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Pengaruh Pembelajaran diluar Kelas (Outdoor Study) Terhadap Hasil Belajar IPA Siswa Kelas IV A SDN Paccinongan Unggulan Ashar Ashar; Muliana Muliana; Roslynrosdiah Roslynrosdiah
Jurnal Riset Sosial Humaniora dan Pendidikan Vol. 2 No. 4 (2023): Desember: Jurnal Riset Sosial Humaniora, dan Pendidikan
Publisher : LPPM Universitas 17 Agustus 1945 Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56444/soshumdik.v2i4.1314

Abstract

This research aims to determine outdoor study on student learning outcomes in Natural Sciences subjects at SDN Paccinongan Unggulan. With the research problem "Is there an influence of outdoor study on the science learning outcomes of Class IV A students at SDN Paccinongan Unggulan?" The method used in this research is an experimental method in the form of pretest posttest control group design. The sample in this study was class IV A students of SDN Paccinongan Unggulan. Data collection techniques use direct observation, tests and documentation. The data analysis technique used in this research is a test/T-test data analysis technique where the collected data will be processed and analyzed using a normality test using SPSS version 22. The results of this research show that learning that applies outdoor learning has an effect on student learning outcomes in Natural Sciences (Science) subjects. In collecting data, research uses observation, documentation and test techniques. The results of this research show that there is an influence of outdoor study in learning natural sciences. This is proven in the t-test table (Independent Sample Test) with a significance value of 0.54 < 0.05, which means that H0 is rejected and Ha is accepted or tcount > ttable (26,610 > 2,056).
Prediction of Shrimp Sales Using the ARIMA (AutoRegressive Integrated Moving Average) Method at UD Udang Makmur Peureulak Veri Ilhadi; Muliana Muliana; Zulfia , Anni; Ulya, Athiyatul; Sahputra , Ilham
Multica Science and Technology Vol 4 No 2 (2024): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v4i2.978

Abstract

UD. Udang Makmur is a shrimp farming business that often faces challenges in accurately predicting sales stock due to reliance on manual forecasting methods. This study aims to develop a web-based sales prediction application utilizing the AutoRegressive Integrated Moving Average (ARIMA) method. The application uses daily sales data from January to December 2023 for analysis. The results indicate that the ARIMA (2,1,1) model delivers accurate predictions, achieving a Mean Squared Error (MSE) of 0.264295. Forecasts for the next 24 periods demonstrate a stable projection, with predicted values converging around 2.5 and a narrow 95% confidence interval. These findings highlight the model's reliability and low uncertainty for the forecasted time frame. The application was successfully tested using the Black-Box method, confirming its functionality and effectiveness in supporting sales predictions.
Penerapan Model Pembelajaran Teaching Factory (TEFA) pada Materi Konsep Dasar Kelistrikan Sepeda Motor Terhadap Hasil Belajar Siswa Kelas XI TBSM SMK Negeri 1 Nisam Zainal Abidin; Siraj Siraj; Islami Fatwa; Abu Bakar; Muliana Muliana
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 4 No. 2 (2025): Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v4i1.4846

Abstract

This research aims to find out: (1) Improvement in student learning outcomes, (2) Student responses, (3) Find out whether there is an increase in student and teacher activity, after implementing the taching factory learning model on basic electrical concepts material in class XI TBSM SMK Negeri 1 Nisam. The type of research used is Quasi Experimental Design using a non-equivalent control design. The sampling technique used was 40 students consisting of 20 class XI TBSM 2 students as the experimental class and 20 TBSM 1 students as the control class. Data collection instruments use multiple choice questions and questionnaires. The research results show that: (1) There is an increase in student learning outcomes after implementing the teaching factory learning model on basic motorbike electrical concept material with an average n-gain score for the experimental class of 0.70, which is in the medium category, in the control class the average is n -gain score of 0.16 is in the low category. (2) Student response questionnaire after applying the teaching factory learning model to the basic concepts of motorbike electricity in class XI TBSM SMK Negeri 1 Nisam is in the very good category with an average score of 83%. (3) teacher activities are in the good category with an overall average score of 3.42 with a percentage of 85.5%, while student activities are in the good category with an overall average score of 3.33 with a percentage score of 83%.
Prediction of Shrimp Sales Using the ARIMA (AutoRegressive Integrated Moving Average) Method at UD Udang Makmur Peureulak Veri Ilhadi; Muliana Muliana; Zulfia , Anni; Ulya, Athiyatul; Sahputra , Ilham
Multica Science and Technology (ACCREDITED-SINTA 5) Vol. 4 No. 2 (2024): Multica Science and Technology
Publisher : Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/mst.v4i2.978

Abstract

UD. Udang Makmur is a shrimp farming business that often faces challenges in accurately predicting sales stock due to reliance on manual forecasting methods. This study aims to develop a web-based sales prediction application utilizing the AutoRegressive Integrated Moving Average (ARIMA) method. The application uses daily sales data from January to December 2023 for analysis. The results indicate that the ARIMA (2,1,1) model delivers accurate predictions, achieving a Mean Squared Error (MSE) of 0.264295. Forecasts for the next 24 periods demonstrate a stable projection, with predicted values converging around 2.5 and a narrow 95% confidence interval. These findings highlight the model's reliability and low uncertainty for the forecasted time frame. The application was successfully tested using the Black-Box method, confirming its functionality and effectiveness in supporting sales predictions.
Dari Warga untuk Warga: Penyerahan Bantuan Donasi kepada Penyintas Banjir Bandang di Kecamatan Pante Bidari, Aceh Timur Ayu Rahmi; Agus Muliaman; Fakhrah Fakhrah; Muliana Muliana; Ucia Mahya Dewi
Dinamika Sosial : Jurnal Pengabdian Masyarakat dan Transformasi Kesejahteraan Vol. 2 No. 4 (2025): Desember : Dinamika Sosial : Jurnal Pengabdian Masyarakat dan Transformasi Kese
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/dinsos.v2i4.2701

Abstract

Flash floods are a hydrometeorological disaster that frequently strikes Indonesia, including East Aceh. Their impacts include not only physical damage but also social and economic disruption to residents. This article describes a community service activity involving the distribution of community donations to flash flood survivors in Pante Bidari District. Using a descriptive qualitative approach, this article analyzes the process of collecting, managing, and distributing aid and links it to theoretical findings in the scientific literature on disaster management, social solidarity, and community resilience. The literature review indicates that local community involvement significantly influences the effectiveness of disaster management (Hariyal & Anhar, 2015); (Faiz, 2025) The results of this activity indicate that community-based aid distribution can accelerate the fulfillment of basic needs, strengthen social networks, and increase the social resilience of affected communities. Thus, this activity confirms that strengthening solidarity among residents is a crucial component in disaster emergency response. Community-based aid distribution not only ensures targeted assistance but also fosters a spirit of mutual cooperation that strengthens long-term social resilience.