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All Journal Jurnal Sains Matematika dan Statistika International Journal of Research in Community Services
Nugroho, Diyas Arya
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Economics, Econometrics & Finance Energy Engineering Mathematics Social Sciences Other

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Optimization of Data Administration Management through Mentoring and Training for Village Apparatus in the Statistics Love Village Program in Tanjung Pasir Village Kalfin, Kalfin; Nugroho, Diyas Arya; Ramadhani, Sausan; Pradana, Reza Septian
International Journal of Research in Community Services Vol 6, No 2 (2025)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v6i2.900

Abstract

The Statistics Love Village Program helps improve the ability of village officials in efficiently managing potential village data. In Tanjung Pasir Village, limitations in administrative data processing have been an obstacle in data-based decision-making. Therefore, mentoring and training are needed to optimize data administration management. The aim of this activity is to optimize data administration management through mentoring and training for village officials in Tanjung Pasir Village through the Statistics Love Village Program. The Statistics Study Program and the Statistics Corner of Matana University collaborate with the Central Statistics Agency of Tangerang Regency in implementing this program. The results of this activity include mapping data on the number of aquaculture businesses and the total production volume of aquaculture. Based on the results of the activity, it can be concluded that the potential business sector in Tanjung Pasir Village is mainly engaged in milkfish farming, with most of the total aquaculture production being in brackish water. Based on the mapping of this potential data, it is hoped that village officials can make more targeted policies and improve community welfare.
Optimization of Data Administration Management through Mentoring and Training for Village Apparatus in the Statistics Love Village Program in Tanjung Pasir Village Kalfin, Kalfin; Nugroho, Diyas Arya; Ramadhani, Sausan; Pradana, Reza Septian
International Journal of Research in Community Services Vol. 6 No. 2 (2025)
Publisher : Research Collaboration Community (Rescollacom)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijrcs.v6i2.900

Abstract

The Statistics Love Village Program helps improve the ability of village officials in efficiently managing potential village data. In Tanjung Pasir Village, limitations in administrative data processing have been an obstacle in data-based decision-making. Therefore, mentoring and training are needed to optimize data administration management. The aim of this activity is to optimize data administration management through mentoring and training for village officials in Tanjung Pasir Village through the Statistics Love Village Program. The Statistics Study Program and the Statistics Corner of Matana University collaborate with the Central Statistics Agency of Tangerang Regency in implementing this program. The results of this activity include mapping data on the number of aquaculture businesses and the total production volume of aquaculture. Based on the results of the activity, it can be concluded that the potential business sector in Tanjung Pasir Village is mainly engaged in milkfish farming, with most of the total aquaculture production being in brackish water. Based on the mapping of this potential data, it is hoped that village officials can make more targeted policies and improve community welfare.
Efektivitas Metode Exponential Smoothing Dan Autoregressive Conditional Heteroscedastic (ARCH) Dalam Memprediksi Harga Saham Nugroho, Diyas Arya; Arifin, Alicia; Wiyanti, Wiwik
Jurnal Sains Matematika dan Statistika Vol 10, No 2 (2024): JSMS Juli 2024
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jsms.v10i2.27141

Abstract

Volatilitas merupakan suatu alat ukur untuk menentukan probabilitas portofolio bisnis di masa depan yang berpotensi turun atau naik. Volatilitas sangat memengaruhi pergerakan nilai harga saham, maka dari itu, peramalan terhadap volatilitas perlu dilakukan apabila seseorang ingin membeli atau menjual saham. Untuk melakukan peramalan, diperlukan adanya penggunaan metode yang tepat. Pada penelitian ini, menerapkan beberapa metode untuk peramalan, yaitu dengan menggunakan metode Exponential Smoothing : Single Exponential Smoothing (SES), Adaptive-Response-Rate Single Exponential Smoothing (ARRSES) dan Holt’s Linear serta metode ARCH. Hasil dari analisis menunjukkan bahwa persentase kesalahan menggunakan metode exponential smoothing yaitu SES, ARRSES, Holt’s Linear berkisar 4% - 6,6% sedangkan dengan metode ARCH-GARCH berkisar 9,81% - 12,4%. Dengan demikian, metode exponential smoothing yang digunakan lebih baik dalam kasus harga saham pada penelitian ini yaitu dengan tingkat kesalahan yang lebih kecil dibandingkan metode ARCH.Kata Kunci:  saham, SES, ARRSES, Holt’s, ARCH
Co-Authors Arifin, Alicia kalfin Kalfin Pradana, Reza Septian Ramadhani, Sausan Wiwik Wiyanti, Wiwik