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All Journal Bulletin of Community Engagement Zoologi: Jurnal Ilmu Peternakan, Ilmu Perikanan, Ilmu Kedokteran Hewan
Arum Antika
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Analisis Faktor-faktor Volume Ekspor Hasil Perikanan Menurut Provinsi di Indonesia Tahun 2021 menggunakan Analisis Faktor Byrlianty Tsabita El Haqq; Arum Antika; Sri Pingit Wulandari
Zoologi: Jurnal Ilmu Peternakan, Ilmu Perikanan, Ilmu Kedokteran Hewan Vol. 3 No. 1 (2025): Januari : Zoologi: Jurnal Ilmu Peternakan, Ilmu Perikanan, Ilmu Kedokteran Hewa
Publisher : Asosiasi Riset Ilmu Tanaman Dan Hewan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/zoologi.v2i2.89

Abstract

Indonesia has significant fisheries potential due to its vast waters. Its abundant fishery resources have strong export potential. However, export activities often face challenges that cause export volumes to fluctuate. This fluctuation is influenced by various factors. These factors can be minimized using statistical methods such as Principal Component Analysis (PCA) and Factor Analysis. This study includes data characterization for each variable and testing PCA and factor analysis assumptions, including multivariate normality testing, independence testing (Bartlett's test), sampling adequacy (KMO test), anti-image correlation testing, PCA testing, and factor analysis. The results indicate that the percentage contribution of fisheries to GDP, the number of coastal villages with disaster mitigation facilities, and the average daily per capita calorie consumption from fish are relatively less dispersed and not highly variable around the mean. Additionally, all data meet the assumptions, and the sample size is adequate. Factors such as aquaculture pond production and the percentage contribution of fisheries to GDP sufficiently explain the data variations.
Analisis Fundamental dan Teknikal terhadap Faktor-Faktor yang Memengaruhi Harga Saham Emiten dalam Indeks IDX-MES BUMN 17 Tahun 2023 Sindy Ayu Porwitasari; Muhammad Fairuz Ahnaf; Arum Antika; Farhan Muhammad Rizki; Mochammad Bimo Aitya Fahreza; Naufalia Alfi Fuadah; Serly Diah Puspitasari
Bulletin of Community Engagement Vol. 4 No. 3 (2024): Bulletin of Community Engagement
Publisher : CV. Creative Tugu Pena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51278/bce.v4i3.1618

Abstract

Global economic developments and regional market dynamics significantly affect the performance of State-Owned Enterprises (BUMN). As an index that operates in the natural resources and energy sector, IDX-MES BUMN 17 is vulnerable to changes in global commodity prices. To address this challenge, two main approaches are used, namely fundamental analysis and technical analysis. In this study, the method used is Moving Average (MA) with lag MA(2) and MA(3), which was chosen to capture short-term price movement patterns. In addition, the simple exponential smoothing (SES) method with parameters 0.2 and 0.7 is also used to provide forecasts that are more responsive to changes in the latest data. Trend models such as linear, quadratic, exponential, and S-curve trends are applied to identify long-term trends of the macro and sectoral variables being analyzed. Seasonal forecasting methods such as Double Exponential Smoothing (DES) and the Winter method are used to model seasonal fluctuations that occur consistently. The results of the analysis conducted are IDX-MES BUMN 17 is divided into 2 clusters, cluster 1 selected ANTM and ELSA issuers, then in class 2 selected PTBA issuer. Of the three selected issuers, the highest return value is in the ANTM issuer, so the ANTM issuer is analyzed further. The best forecasting method for the three stocks is Double Exponential Smoothing. The results of the ANTM stock analysis show that the ANTM stock data is stationary, the ANTM stock also has cointegration in the short-term model to the long-term model and the three short-term models have met the IIDN assumptions
Co-Authors Byrlianty Tsabita El Haqq Mochammad Bimo Aitya Fahreza Muhammad Fairuz Ahnaf Naufalia Alfi Fuadah Rizki, Muhammad Farhan Serly Diah Puspitasari Sindy Ayu Porwitasari Sri Pingit Wulandari