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All Journal EKSAKTA: Journal of Sciences and Data Analysis Jurnal Fisika Unand Variance : Journal of Statistics and Its Applications International Journal of Electronics and Communications Systems Smart Society: Community Service and Empowerment Journal Southeast Asian Business Review Jurnal Pendidikan MIPA
Muthoharoh, Luluk
Unknown Affiliation
Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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Penerapan Program Software Matlab Dalam Memecahkan Permasalahan Rangkaian Listrik: Dinamika Sistem Kapasitor Dan Induktor (Prinsip Nilai Dan Vektor Eigen) Muthoharoh, Luluk; Pamungkas, Muhammad Putra; Sari, Reni Permata
Jurnal Fisika Unand Vol 10 No 3 (2021)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.10.3.303-309.2021

Abstract

Matlab software was applied in solving physics cases in electronics using value calculation programs and Eigenvectors. The physics case solved is an moving oscillator circuit consisting of five capacitors and four inductors. The purpose of this program is to determine the value and the Eigenvectors that can be obtained. The method used is to utilize the problem of values and Eigenvectors in the Matlab program. In the case of oscillator motion, each capacitor's size and inductor system have been determined according to the system.. The equation of motion for the capacitor and inductor system is reviewed at each point of the inductor and the function used is  called the ansatz function, then differentiated twice concerning time. By using the Matlab program application, the results obtained show that by using eig (Eigen) command the Matlab program can accurately show the results of running (execution) values and Eigenvector.
ARCH MODEL FOR FORECASTING BCA BANK STOCK PRICE VOLATILITY Surya, Annisa Cahyani; Ariyanto, Adisty Syawalda; Napitupulu, Leonard Andreas; Sihaloho, Ryantoni; S, Mika Alvionita; Muthoharoh, Luluk
VARIANCE: Journal of Statistics and Its Applications Vol 7 No 2 (2025): VARIANCE: Journal of Statistics and Its Applications
Publisher : Statistics Study Programme, Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/variancevol7iss2page147-154

Abstract

This research analyzes the Autoregressive Conditional Heteroskedasticity (ARCH(p) model to predict the BCA Bank share price in the range of January 2013 to November 2023. BCA Bank's share price, as one of the shares traded on the Indonesian Stock Exchange, requires accurate volatility modeling. Researchers use the ARIMA(0,1,2) model as the initial approach, but because of heteroscedasticity, they apply the ARCH(8) model to overcome it. The results show that the ARCH(8) model performs best, with the lowest AIC values for volatility. BCA Bank's daily stock price as of December 1, 2023, showed high volatility, signaling significant risk to investors.
Seasonal Forecasting of Ferry Passenger Demand for Operational Planning: Evidence from Bakauheni Port, Indonesia Abdullah, Khoirul Mizan; Muthoharoh, Luluk; Satria, Eggie; Neliyana, Rahma; Presilia, Presilia; Khoarizmy, Gymnastiar Al; Muslim, Anwar; Safitri, Ira
International Journal of Electronics and Communications Systems Vol. 5 No. 2 (2025): International Journal of Electronics and Communications System
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijecs.v5i2.26694

Abstract

Forecasting ferry passenger numbers is essential for efficient port operations and resource planning. This study applies the Seasonal Autoregressive Integrated Moving Average (SARIMA) model to forecast monthly passenger volumes at Bakauheni Port, Lampung. The SARIMA (2,1,1)(0,1,1)₁₂ model was selected for its ability to capture trend and seasonal patterns effectively. Diagnostic checks confirmed the model's adequacy, and validation yielded a MAPE of 11.47 percent, indicating 88.53 percent accuracy. These results show that the SARIMA model offers reliable predictive performance and can support data-driven decisions in scheduling, resource allocation, and service optimization. These results demonstrate that the developed SARIMA model possesses reliable predictive performance and can serve as a practical tool for supporting operational decision-making. The model can help this port authorities and managers optimize service provision, allocate resources more efficiently, and respond proactively to anticipated changes in passenger volume, thereby improving overall port performance and customer satisfaction in the future. Although it does not incorporate external factors, the model provides a solid foundation for future improvements and research.
Co-Authors Abdullah, Khoirul Mizan Abednego, Michael Aditya Rahman Ahmad Luky Ramdani Alvionita, Mika Ariyanto, Adisty Syawalda Athaulloh, M Farhan Ayu Sofia Biran, Christian Arvianus Nathanael Christyan Tamaro Nadeak Dian Maya Sari Fitri April Yanti, Fitri April Hati, Berliyana Kesuma Hendri Noperi Ira Safitri Irawati, Febri Dwi Ishak, Shahnaz Salsabila Kartika, Veni Zahara Khoarizmy, Gymnastiar Al Komarudin, Agus Lailani, Ade Maharani, Khairunnisa Mika Alvionita Sitinjak Mochammad Imron Awalludin Mubarok, Husni Na’fa Muhammad Dhoni Apriyadi Muhammad Kristiawan Muslim, Anwar Napitupulu, Leonard Andreas Neliyana, Rahma Pamungkas, Muhammad Putra Presilia, Presilia Rahmat Heru Setianto Rassiyanti, Linda Reny Dwi Riastuti Sabila, Viyonisa Syafa Sari, Reni Permata Sasongko, Dharu Cahyoaji Satria, Eggie Sharov, Sergii Sihaloho, Ryantoni Sihombing, Ericson Chandra Sitinjak, Mika Alvionita Surya, Annisa Cahyani Tirta Setiawan, Tirta Yuliana Yuliana Yulita, Tiara Zamzami, Balqis Dwian Fitri