Article Per Year (5 Year)
p-Index From 2021 - 2026
3.396
P-Index
This Author published in this journals
All Journal EKSAKTA: Journal of Sciences and Data Analysis JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI Unisda Journal of Mathematics and Computer Science (UJMC) EIGEN MATHEMATICS JOURNAL Square : Journal of Mathematics and Mathematics Education Jurnal Statistika dan Aplikasinya JAMBURA JOURNAL OF PROBABILITY AND STATISTICS LOSARI: Jurnal Pengabdian Kepada Masyarakat Journal Of Human And Education (JAHE) Journal Focus Action of Research Mathematic (Factor M) Journal of Data Insights Emerging Statistics and Data Science Journal Amalgamasi: Journal of Mathematics and Applications Scientific Journal of Computer Science
Ihsan Fathoni Amri
Universitas Muhammadiyah Semarang
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Physics Public Health Social Sciences Transportation Other

Published : 23 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : Journal of Data Insights

 1 
Study on Import and Export Indicators in Indonesia Using Volatility and Markov Switching Model Combination: Kajian Indikator Impor dan Ekspor di Indonesia Menggunakan Kombinasi Model Volatilitas dan Markov Switching Fathoni Amri, Ihsan; Purwanto, Dannu
Journal of Data Insights Vol 1 No 1 (2023): Journal of Data Insights
Publisher : Department of Sains Data UNIMUS Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jodi.v1i1.137

Abstract

Krisis ekonomi tahun 1997 merupakan masalah yang terjadi di hampir semua negara berkembang termasuk Indonesia. Berdasarkan krisis ekonomi, diperlukan indikator performance knowledge. Impor dan ekspor merupakan indikator penting yang harus dilihat kinerjanya. Data bulanan impor dan ekspor merupakan data deret waktu karena dikumpulkan, dicatat, dan diamati dalam urutan waktu. Data impor dan ekspor mengandung masalah heteroskedastisitas pada model residual dan conditional change pada volatilitas. Kombinasi model volatilitas dan Markov switching dapat mengatasi permasalahan dalam penelitian ini. Penelitian ini dikembangkan dengan menggunakan data volatilitas dan smoothed probability, selanjutnya penelitian ini memperoleh tingkat akurasi dengan membandingkan probabilitas prediksi dengan probabilitas smoothed dari data aktual. Hasil dari penelitian ini diperoleh model SWARCH(4,1) dengan ARIMA(1,0,0) untuk rata-rata dan ARCH(1) untuk varians yaitu untuk total data impor dan model SWARCH(2,1) dengan ARIMA(1, 0,0) untuk rata-rata dan ARCH(1) untuk varian yang merupakan total data ekspor. Probabilitas prediksi perbandingan dan probabilitas pemulusan dari data aktual diperoleh akurasi 40,91% untuk indikator impor dan 100% untuk indikator ekspor, artinya untuk indikator impor harus mengubah nilai awal model SWARCH agar lebih akurat.
Forecasting Honda Car Retail Sales Using the Seasonal Autoregressive Integrated Moving Average Method: Peramalan Penjualan Retail Mobil Honda Menggunakan Metode Seasonal Autoregressive Integrated Moving Average Angelina, Lea; Permata, Alia; Arsusma, Jesicha; Masichah, Firochul; Al Haris, M.; Fathoni Amri, Ihsan
Journal of Data Insights Vol 3 No 1 (2025): Journal of Data Insights
Publisher : Department of Sains Data UNIMUS Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jodi.v3i1.416

Abstract

This article discusses the forecasting of Honda car retail sales using the Seasonal Autoregressive Integrated Moving Average (SARIMA) method. The study aims to forecast Honda car retail sales for the upcoming year. Various SARIMA models have been tested to determine the best model, and the results show that the SARIMA (1,1,0)(1,1,1)¹² model provides the lowest Mean Absolute Percentage Error (MAPE) among all tested models, which is 17,74%. Therefore, this model was chosen for forecasting sales over the next 12 months. The forecast results are expected to assist management in making optimal decisions regarding stock and marketing, as well as significantly enhancing operational efficiency and customer satisfaction in the future.
Co-Authors Abdul Ghufron Abidah, Khansa Ni'mal Adhwaningrum, Arullah Salsabila Ainurrofiah, Safira Al Haris, M Alwan Fadlurohman Amri, Saeful Angelina, Lea Ariska Fitriyana Ningrum Arsusma, Jesicha Arya, Abimanyu Asrirawan Astuti, Sofi Anggi Aura Hisani, Zahra Ayu Wulandari Azzahrani, Rahma Dewi Bisoumi, Yan Nazala Dannu Purwanto Daud, Khamidah Arsyad Dawi, Herculianus Rowa Dhani, Oktaviana Rahma Diani, Nandini Lova Dwi Saputri, Atika Dwi Sulistiani Ginasputri, Heppy Nur Asavia Haris, M. Al Hartanto, Raka Nurhaq Mulya Hikmah Nur Rohim, Febrian Irawan, Alfian Chandra Kaia Raissa Akmalia Khikman, Muhammad Alvaro Kholifah , Revika Inta Nur Laila Qadrini M. Al Haris Masichah, Firochul Mostfa, Ahmed A. Muhammad Fahmuddin Muhammad Ivan Ardiansyah Multiyaningrum, Riska mutiah, siti Nakib, Arman Mohammad Nisa, Rofiah Ainun Nudyawati, Elsa Nur Mahmudah Nurohmah, Nufita Nurul Azka, M. Ilham Permata, Alia Pranandira Rilvandri, Quinsy Pratama, Rifin Fadilla Priambodo, Danu Puspitasari, Linda Rahma Dhani, Oktaviana Rakhmawati, Muji Silvi Ramadhan, Wulan Nur Rohim, Febrian Hikmah Nur Sa'adah , Lydia Nur Safira, Elfina Latifah Salsabilla, Havinka Angel Saputra, Farid Sam Saputri, Atika Dwi Sarah, Albertus Dion Sintya, Salsabila Dhea Suherdi, Andri Sulistiya, Indah Supriyanto Syaharani, Nabbila Dyah Tiani Wahyu Utami Wahid, Siti Nurasriyanti Wardani, Amelia Kusuma Watur, Annisa Cahyaningrum Widyasari, Velia Arni Wulan Sari Yolan Triky Zahra Aura Hisani