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All Journal Action Research Literate (ARL) Journal of Comprehensive Science
Handayani, Melita
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Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Social Sciences

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Peramalan Instrumen, Sekuritas Menggunakan Metode Analisis Kluster, ECM, dan Time Series Regression pada Indeks Saham IDXBUMN20 Prameswari, Putri Dita; Narania, Sella; Handayani, Melita; Nabila, Helvy Tiana Rosa; Rabbani, Dzakki Damar; Hibatullah, Fausania
Action Research Literate Vol. 8 No. 11 (2024): Action Research Literate
Publisher : Ridwan Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46799/arl.v8i11.2513

Abstract

Investasi saham menjadi instrumen penting dalam perekonomian modern, berperan signifikan dalam mendukung pertumbuhan ekonomi melalui penciptaan lapangan kerja, peningkatan kapasitas produksi, dan pengembangan infrastruktur berkelanjutan. Penelitian ini bertujuan untuk menganalisis pemilihan saham terbaik dalam indeks IDXBUMN20, yang terdiri dari 20 saham perusahaan Badan Usaha Milik Negara (BUMN) yang memiliki pengaruh signifikan terhadap ekonomi nasional. Metode yang digunakan mencakup analisis klaster, Error Correction Model (ECM), dan regresi time series. Analisis klaster diterapkan untuk mengelompokkan saham berdasarkan karakteristik keuangan seperti rasio keuangan, expected return, dan risiko, guna membantu investor mengidentifikasi emiten dengan karakteristik performa yang sejenis. Selanjutnya, ECM digunakan untuk menilai hubungan jangka panjang dan jangka pendek antar variabel ekonomi yang memengaruhi harga saham, memungkinkan investor memahami dinamika pergerakan harga saham menuju ekuilibrium. Terakhir, regresi time series diterapkan untuk memproyeksikan pola harga saham berdasarkan tren historis dan variabel ekonomi eksternal seperti kurs USD, harga emas, dan suku bunga. Hasil penelitian diharapkan dapat memberikan wawasan strategis bagi investor dalam memilih saham BUMN dengan potensi pertumbuhan optimal, menciptakan portofolio yang tahan terhadap fluktuasi pasar dan memberikan hasil yang stabil dalam jangka panjang. Dengan demikian, penelitian ini berkontribusi pada literatur investasi dengan memberikan panduan aplikatif mengenai kombinasi analisis teknikal dan fundamental untuk mendukung pengambilan keputusan investasi yang lebih terinformasi.
Pengaruh Tipe Mobil Terhadap Harga dan Kapasitas Mesin di Belarus Dengan Pendekatan Metode Manova Liana Putri, Natasya; Pingit Wulandari, Sri; Handayani, Melita
Journal of Comprehensive Science Vol. 3 No. 11 (2024): Journal of Comprehensive Science (JCS)
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/jcs.v3i11.2897

Abstract

Belarus is a country on the European Continent that continues to develop modern technology, especially in the field of the transportation industry. Supported by people's consumption patterns that tend to be consumptive where the demand for goods can affect the country's economy if not controlled properly, one of which is the use of cars. The high interest of the public in the use of cars is influenced by the design of the body type. Body type plays an important role in determining consumer preferences. The design of the car body type also affects the selling price. Engine capacity is also closely related, where larger vehicles typically have larger tanks. Therefore, it is important to analyze the influence between car body type and price and car engine capacity in Belarus using the multivariate analysis of variance (MANOVA) method. Data analysis starts from describing the characteristics of variables, then conducting MANOVA assumption testing starting from multivariate normality testing with Q-Q plot and T-proportion test, independence correlation test test with barlet test, and homogeneity test with box's m test. Followed by the MANOVA test on the body variable on the price and capacity of the car engine and after that the LSD test. The results of the price characteristics and the capacity of the car engine were obtained by one and two outliers, respectively, and the shape of the boxplot was asymmetrical The most observed type of car was the universal type. The results of the MANOVA assumption test show that the data is normally distributed multivariate, dependent, and has a homogeneous covariance variance matrix. The results of the MANOVA test show that there is at least one type of car that has a significant influence on the price and capacity of the car engine. The LSD test results show the type of car based on the price of the car that there is no difference between the average car type 1, 2, 3, 4.
Co-Authors Hibatullah, Fausania Liana Putri, Natasya Nabila, Helvy Tiana Rosa Narania, Sella Pingit Wulandari, Sri Prameswari, Putri Dita Rabbani, Dzakki Damar