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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan Empiricism Journal At-Tadris: Journal of Islamic Education
Pratama, Aditya Nugraha
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Religion Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Implementasi K-Means Cluster untuk Menentukan Persebaran Tingkat Pengangguran Aprizkiyandari, Siti; Satyahadewi , Neva; Pratama, Aditya Nugraha; Rivaldo, Rendi; Nurdiansyah , Syarif Irwan; Helena, Shifa
Empiricism Journal Vol. 4 No. 2: December 2023
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/ej.v4i2.1518

Abstract

Tingkat pengangguran yang ada di Kalimantan Barat sangat bervariasi. Terdapat Kabupaten/ Kota dengan tingkat pengangguran tinggi dan ada yang rendah, namun belum terdapat pengelompokkannya. Pada penelitian ini, Kabupaten/ Kota di Kalimantan Barat dikelompokkan dengan analisis klaster menggunakan metode K-Means Cluster. Metode K-Means Cluster dapat digunakan dalam pengambilan keputusan dalam mengelompokkan tingkat pengangguran di Kalimantan Barat berdasarkan indikator yang digunakan. Indikator pada penelitian ini terdiri dari TPT, IPM, PDRB dan UMK, dimana data berasal dari BPS Provinsi Kalimantan Bartat. Diperoleh hasil yaitu terbentuknya 2 klaster. Klaster 1 mewakili  kabupaten/kota dengan tingkat pengangguran tinggi yang terdiri dari 4 anggota yaitu Kabupaten Kubu Raya, Kabupaten Ketapang, Kota Pontianak, dan Kota Singkawang dengan persentase TPT klaster 1 yaitu sebesar 8,87%. Sedangkan klaster 2 terdiri dari 10 Kabupaten, yaitu  Kayong Utara, Melawi, Sekadau, Kapuas Hulu, Sintang, Sanggau, Mempawah, Landak, Bengkayang dan Sambas dengan TPT klaster 2 yaitu sebesar 3,73%. Implementation of K-Means Cluster to Determine the Distribution of Unemployment Rate Abstract Unemployment rates in West Kalimantan vary widely. There are regencies/municipalities with high unemployment rates and some with low unemployment rates, but there is no grouping yet. In this research, regencies/municipalities in West Kalimantan are grouped by cluster analysis using the K-Means Cluster method. K-Means Cluster method can be used in decision-making in grouping the unemployment rate in West Kalimantan based on the indicators used. The indicators in this study consist of TPT, HDI, GRDP, and MSE, where the data comes from BPS of West Kalimantan Province. The result obtained is the formation of 2 clusters. Cluster 1 represents districts/cities with a high unemployment rate consisting of 4 members, namely Kubu Raya Regency, Ketapang Regency, Pontianak City, and Singkawang City with a TPT percentage of cluster 1 of 8.87%. Meanwhile, cluster 2 consists of 10 regencies, namely North Kayong, Melawi, Sekadau, Kapuas Hulu, Sintang, Sanggau, Mempawah, Landak, Bengkayang, and Sambas with a TPT cluster 2 of 3.73%.
ANALYSIS OF OPTIMAL PORTFOLIO FORMATION ON IDX30 INDEXED STOCK WITH THE MEAN ABSOLUTE DEVIATION METHOD Pratama, Aditya Nugraha; Satyahadewi, Neva; Sulistianingsih, Evy
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 3 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss3pp1753-1764

Abstract

In investing in stocks, an investor must be able to form a stock portfolio to obtain optimal results. Factor analysis is one way to select stocks to form a portfolio. Factor analysis with Principal Component Analysis (PCA) extraction is used to summarize many variables into new smaller factors by producing the same information. The new factor formed is called a portfolio. This study aims to form an optimal portfolio using the Mean Absolute Deviation (MAD) method, which is an alternative to Markowitz optimization, and assess the stock portfolio's performance using the Sharpe index. This research uses IDX30-indexed stocks because the stocks in this index have high market capitalization and liquidity. The data used in this study are daily close stock price data on the IDX30 index from September 20, 2022, to September 20, 2023. The data used is secondary data obtained from the official website https://finance.yahoo.com/. From the analysis, three stock portfolios were obtained. With MAD optimization, the investment weight of each stock is obtained namely, in the first portfolio, the investment weight of AMRT shares is 21.95%, BBCA shares are 30%, BBNI shares are 18.05%, and BBRI shares are 30%. In the second portfolio, the investment weight of AKRA shares is 34.03%, BRPT shares are 40%, and MEDC shares are 25.97%. In the third portfolio, the investment weight of BMRI shares is 50%, and INDF shares are 50%. By measuring the performance of the Sharpe index, the optimal portfolio is obtained in the second portfolio with an expected return portfolio of 0.155% and a portfolio risk of 1.927%.
Pengaruh Pembiasaan Salat Dhuha Terhadap Pembentukan Karakter Disiplin Siswa Kelas X di MAN 1 Bogor Pratama, Aditya Nugraha; Supriadi, Dedi; Nawawi, M. Kholil
At-Tadris: Journal of Islamic Education Vol. 1 No. 1 (2022): At-Tadris: Journal of Islamic Education
Publisher : Ikatan Dai Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56672/xghh7c59

Abstract

This study aims to determine the effect of the habit of dhuha prayer on the formation of disciplined character of class X students at MAN 1 Bogor. This study uses a quantitative correlational research method. The population used in this study were all class X students at MAN 1 Bogor and took a sample of 65 students using random sampling techniques. Data collection techniques were through observation, questionnaires, and documentation. Based on the results of the calculation of the coefficient of determination, the habit of dhuha prayer contributed 33.1% to the formation of students' disciplined character. Meanwhile, the remaining 66.9% was influenced by other factors outside the variables studied in this study.
Co-Authors Aprizkiyandari, Siti Dedi Supriadi Evy Sulistianingsih Helena, Shifa Nawawi, M. Kholil Neva Satyahadewi Nurdiansyah , Syarif Irwan Rivaldo, Rendi Satyahadewi , Neva