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All Journal Jurnal Al-Tadzkiyyah Industrika : Jurnal Ilmiah Teknik Industri
Siregar, Halimah
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Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering

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Optimasi Jaringan Syaraf Tiruan Dalam Memprediksi Jumlah Penduduk Nasional Misrianto, Misrianto; Siregar, Halimah
Industrika : Jurnal Ilmiah Teknik Industri Vol. 8 No. 2 (2024): Industrika: Jurnal Ilmiah Teknik Industri
Publisher : Fakultas Teknik Universitas Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/indstrk.v8i2.1526

Abstract

Predictions or forecasting are important parameters in determining policy that will be implemented in the future. The higher the population of a country, the more it will affect the balance of that country. This research aims to predict the national population using the Artificial Neural Network (ANN) approach. The sample for this research is population data for each province obtained from the National Central Statistics Agency (BPS). The data is iterated from 2011 to 2022. The approach method uses backpropagation Artificial Neural Networks (ANN). The architectural model is determined with 2 hidden layers and 1 output, namely 5-20-10-1 with learning rate variations of 0.01, 0.02, and 0.03. ANN prediction results are able to predict the national population. The success of the three models shows that the ANN model with a Learning rate of 0.01 has the highest accuracy level of 96.9697, equivalent to 97%. This is proven by the model's success in predicting 32 out of 33 data samples with a time duration of 117 seconds. The prediction results showed that the highest population numbers were in three provinces, namely Central Java, West Java, and East Java. Meanwhile, the lowest population is in West Papua province. Keywords: BPS, JST, Learning Rate, Optimization.
Pengaruh Self Assessment Terhadap Hasil Belajar Penelitian Tindakan Kelas dan Penulisan Artikel pada Bidang Pendidikan Agama Islam Lisnawati, Santi; Siregar, Halimah
Al-Tadzkiyyah: Jurnal Pendidikan Islam Vol 9 No 2 (2018): Al-Tadzkiyyah: Jurnal Pendidikan Islam
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/atjpi.v9i2.3627

Abstract

Assessment of self-ability in learning has benefits to know the advantages and disadvantages of learning. This study aims to determine self-analysis of learning outcomes in CAR courses (classroom action research) on Islamic education subject. The objective this subject is ability to plan, implement and report the result of classroom action research. The method used in this study is the experimental method, namely two classes, each of which is a control and an experimental class. The results showed that there were differences in learning outcomes in class research subjects, the results of data analysis obtained t count value (t hit) that is 3.163 while t table for db 81 and apha 0.05 is t table 1.671, because t count is greater than t table (3.887> 1.671) then Ho is rejected, with Significance (Sig. 2 tailed) of 0.002 that number is less than 0.005 (0.002 <0.005). Thus there is an independent analysis of learning outcomes in CAR courses. CAR learning outcomes will be better if you use self-numbers. Students can easily find out their weaknesses and strengths, make feedback on existing results, and produce something better.
Co-Authors Misrianto, Misrianto SANTI LISNAWATI