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PENGGUNAAN MODEL SEASONAL AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (SARIMA) DALAM MEMPREDIKSI JUMLAH CURAH HUJAN DI KABUPATEN MUARO JAMBI TAHUN 2024 Nurhafisah; Gusmanely.Z; Sufri
Jurnal Khazanah Intelektual Vol. 8 No. 1 (2024): Khazanah Intelektual
Publisher : Balitbangda Provinsi Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37250/khazanah.v8i1.237

Abstract

Rain is a source of water where water is an important element in life, one of which is in the agricultural sector. High rainfall can cause floods which cause damage to agricultural crops so that farmers will experience crop failure. In 2021, 2,591 hectares of rice fields in Muaro Jambi Regency experienced crop failure due to flooding caused by high rainfall. This is an important reason to predict the amount of rainfall in Muaro Jambi Regency so that it can help in making decisions to anticipate crop failure. Rainfall is often difficult to predict, so it is necessary to identify data patterns to determine the appropriate method and determine the best model that can be used to predict the amount of rainfall in Muaro Jambi Regency. The results of identifying rainfall data patterns in Muaro Jambi Regency show that the rainfall data in Muaro Jambi Regency contains seasonal patterns. SARIMA is a forecasting method that is suitable for application to data that contains seasonal patterns. The best model that can be used to predict the amount of rainfall in Muaro Jambi Regency is the SARIMA(1,0,0)(1,0,0)12 model with forecasting accuracy classified as very good with a MAPE value of 0.05041% and an MSE of 8959 .8 which is obtained from calculating the error value between the actual data and the forecast results on outsample data.
Desain elmolus (elektronik modul kalkulus) berbasis android berbantuan sigil menggunakan concept rich instruction dengan pengaplikasian live worksheet Sufri Sufri; Feri Tiona Pasaribu
JPPI (Jurnal Penelitian Pendidikan Indonesia) Vol 9, No 4 (2023): JPPI (Jurnal Penelitian Pendidikan Indonesia)
Publisher : Indonesian Institute for Counseling, Education and Theraphy (IICET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29210/020232247

Abstract

Penelitian ini dilatarbelakangi oleh proses pembelajaran saat ini di masa pandemic covid 19 yang mengakibatkan pembelajaran dilakukan secara daring sehingga dituntut untuk menggunakan teknologi dan untuk meningkatkan kemampuan berpikir tingkat tinggi. Penelitian ini bertujuan untuk mendeskripsikan hasil desain dan kualitas ELMOLUS berbasis android berbantuan sigil menggunakan concept rich instruction dengan pengaplikasian live worksheet. Penelitian ini mendesain dan mengembangkan dengan menggunakan model pengembangan ADDIE yang diawali tahap analisis, desain, pengembangan, implementasi dan dilakukan evaluasi setiap fase. Pada penelitian ini menghasilkan produk berupa e-modul untuk mahasiswa pada materi kalkulus. ELMOLUS ini didesain menggunakan pendekatan concept rich instruction dengan lima karakteristik yaitu practice, decontextualization, encapsulating a generalization in words, recontextualization dan realization. Berdasarkan uji validasi dan uji praktikalitas, diperoleh hasil dari validasi oleh ahli materi dan ahli desain dengan persentase berturut-turut 88% dan 89,4% dengan kriteria “sangat valid”. Dan untuk hasil uji kepraktisan dari uji coba perorangan diperoleh dengan persentase 88,8% dan uji coba kelompok kecil diperoleh dengan persentase 85%, sehingga pada kriteria persentase kepraktisan didapatkan kriteria “sangat praktis” dengan revisi kecil.
Optimasi Keuntungan Menggunakan Metode Karush- Kuhn-Tucker (Studi Kasus: Mi Aceh Pattimura di Jambi) Agustina, Ellys; Sufri; Rozi, Syamsyida
Journal Focus Action of Research Mathematic (Factor M) Vol. 3 No. 2 (2021)
Publisher : Universitas Islam Negeri (UIN) Syekh Wasil Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30762/factor_m.v3i2.3222

Abstract

Masalah pengeluaran yang tidak stabil dan produksi yang tidak optimal mendorong pelaku usaha untuk merumuskan strategi yang tepat agar usaha dapat terus berjalan dengan lancar. Hal tersebut juga terkait dengan adanya keinginan untuk memaksimalkan keuntungan. Masalah yang demikian dialami pula oleh pelaku usaha Mi Aceh Pattimura, Jambi. Adapun tujuan dari penelitian ini adalah untuk menentukan dan mengidentifikasi jumlah produksi yang optimal per hari supaya pelaku usaha Mi Aceh Pattimura memperoleh keuntungan harian yang optimal berdasarkan modal dan bahan yang tersedia. Dan pada penelitian ini, metode yang digunakan untuk menemukan keadaan optimal tersebut adalah metode Kuhn Tucker. Berdasarkan perhitungan menggunakan metode Karush-Kuhn-Tucker, diperoleh jumlah produksi optimal per hari pada usaha Mi Aceh Pattimura adalah mi aceh kuah sebanyak 15 porsi, mi aceh goreng sebanyak 6 porsi, mi aceh tumis sebanyak 19 porsi, mi aceh daging sebanyak 20 porsi, mi aceh ayam sebanyak 20 porsi, dan mi aceh udang sebanyak 20 porsi dengan keuntungan optimal yang dapat diperoleh sebesar Rp. 745.169,9279 per hari.
PENGGUNAAN MODEL SEASONAL AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (SARIMA) DALAM MEMPREDIKSI JUMLAH CURAH HUJAN DI KABUPATEN MUARO JAMBI TAHUN 2024 Nurhafisah; Gusmanely.Z; Sufri
Jurnal Khazanah Intelektual Vol. 8 No. 1 (2024): Khazanah Intelektual
Publisher : Brida Provinsi Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37250/khazanah.v8i1.237

Abstract

Rain is a source of water where water is an important element in life, one of which is in the agricultural sector. High rainfall can cause floods which cause damage to agricultural crops so that farmers will experience crop failure. In 2021, 2,591 hectares of rice fields in Muaro Jambi Regency experienced crop failure due to flooding caused by high rainfall. This is an important reason to predict the amount of rainfall in Muaro Jambi Regency so that it can help in making decisions to anticipate crop failure. Rainfall is often difficult to predict, so it is necessary to identify data patterns to determine the appropriate method and determine the best model that can be used to predict the amount of rainfall in Muaro Jambi Regency. The results of identifying rainfall data patterns in Muaro Jambi Regency show that the rainfall data in Muaro Jambi Regency contains seasonal patterns. SARIMA is a forecasting method that is suitable for application to data that contains seasonal patterns. The best model that can be used to predict the amount of rainfall in Muaro Jambi Regency is the SARIMA(1,0,0)(1,0,0)12 model with forecasting accuracy classified as very good with a MAPE value of 0.05041% and an MSE of 8959 .8 which is obtained from calculating the error value between the actual data and the forecast results on outsample data.
PENERAPAN METODE ARIMA BOX-JENKINS UNTUK MEMPREDIKSI HARGA SAHAM DI PT ANEKA TAMBANG TBK Triputra, Ilham Yusuf; Sufri; Yurinanda, Sherli
Prismatika: Jurnal Pendidikan dan Riset Matematika Vol. 5 No. 2 (2023): Prismatika: Jurnal Pendidikan dan Riset Matematika
Publisher : Universitas Insan Budi Utomo

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

A capital market is a market in which long-term trading of financial assets takes place, or a market in which various financial instruments are traded. The development of capital markets promotes the economic development of the country. The form of investment in the capital market is in the form of shares. Because stock prices are constantly fluctuating, capital market participants need analysis to help predict future stock prices. PT Aneka Tambang TBK or ANTM for short is one of the stocks traded in Indonesia's capital market. This study applied the Box-Jenkins ARIMA method for the period from July 2021 to November 2021 to determine the optimal forecast model for stock price fluctuations of ANTM, and obtained forecast results in December 2021. It is intended to The best preserved model is his ARIMA model (3,2,0) and ANTM's December 2021 stock price forecast results are down.