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ANALISIS NILAI TAMBAH UBI KAYU MENJADI TEPUNG MOCAF DI KABUPATEN KAMPAR, PROVINSI RIAU Yasmin, Nazwa Azura; Nofa, Tasya; Nahda, Azah; Rahmadhani, Oktavia; Hamid, M.
SINERGI : Jurnal Riset Ilmiah Vol. 2 No. 11 (2025): SINERGI : Jurnal Riset Ilmiah, November 2025
Publisher : Lembaga Pendidikan dan Penelitian Manggala Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62335/sinergi.v2i11.1951

Abstract

Indonesia faces a high dependency on imported wheat, despite possessing abundant local carbohydrate resources such as cassava (ubi kayu). Cassava is highly perishable and commands a low selling price in its raw form. Modified Cassava Flour (Mocaf) is a fermented cassava flour product with wheat-like characteristics, holding significant potential as an import substitute. However, in production centers like Kampar Regency, Riau, farmers have not widely adopted this processing technology. This research aims to (1) Analyze the economic value-added, value-added ratio, and profit margins from processing cassava into Mocaf flour in Kampar Regency; (2) Identify the factors influencing the value-added process, such as technology, input costs, and market access; and (3) Provide strategic recommendations for the sustainable development of the Mocaf industry. This study employs a quantitative descriptive approach using a case study method focused on a Mocaf-processing SME in Kampar Regency. Secondary data from BPS (Statistics Indonesia) and literature. Data analysis will utilize the Hayami Method to calculate value-added and a business income analysis (  ) to measure feasibility.
PERAMALAN VOLUME EKSPOR KELAPA INDRAGIRI HILIR MENGGUNAKAN MODEL TRIPLE EXPONENTIAL SMOOTHING Fitri, Syakirah Athiyyah; Naila Septa Ridhoni; Wellyn Cesharina Meylan; Daffa Albarak; Muhammad Hamid
Journal of Innovation Research and Knowledge Vol. 5 No. 7 (2025): Desember 2025
Publisher : Bajang Institute

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Abstract

Volume eskpor kalapa di Kabupaten Indragiri Hilir merupakan indikator penting bagi kinerja ekonomi daerah, meningat wilayah ini adalah penghasil kelapa terbesar di Provinsi Riau. Penelitian ini bertujuan menganalisis pola dan meramalkan volume ekspor kelapa menggunakan metode Triple Exponential Smoothing (TES), mengingat adanya fluktuasi historis dan pengaruh musiman. Data yang digunakan merupakan deret waktu periode 2015 – 2024, dengan kompenen pemulusan level, tren, dan musiman. Akurasi model dievaluasi menggunakan Mean Absolute Percentage Error (MAPE). Hasil penelitian menunjukkan bahwa volume ekspor kelapa cenderung meningkat dalam jangka panjang dan sangat dipengaruhi oleh pola musiman produksi. Komponen musiman tercatat sebagai faktor dominan dalam pergerakan data, sementara MAPE sebesar 13,32% mengindikasikan bahwa model TES memiliki akurasi yang baik. Peramalan untuk periode 2025 – 2026 memperlihatkan pola musiman yang konsisten, dengan puncak ekspor pada Agustus dan titik terendah pada Januari. Secara keseluruhan, metode TES efektif digunakan pada data dengan pola musiman yang kuat dan dapat menjadi dasar perencanaan ekspor serta pengelolaan produksi kelapa di Indragiri Hilir.
Analisis Perkembangan Produksi Kelapa Sawit Berdasarkan Luas Lahan dan Jumlah Pabrik Kelapa Sawit (Studi pada Kabupaten Rokan Hulu): Penelitian Daulay, Nisa Purnama; putri, Azzahwa alyani; Ramadani, Oktavia Nada; Agata, Elysia Vania; Hamid, Muhammad
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 2 (2025): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 2 (October 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i2.3935

Abstract

This study analyzes the development of palm oil production based on land area and the number of palm oil mills (PKS) in Rokan Hulu Regency from 2020 to 2024. This study uses a quantitative descriptive method with secondary data from the Central Statistics Agency and the Plantation Service. The analysis covers growth rates, land productivity, processing efficiency, and Pearson's correlation to determine the relationship between these variables. The results show that land area increased by 24.61%, production by 17.59%, and the number of mills by 105.56%. A very strong positive correlation was found between production and land area (r = 0.983) and the number of factories (r = 0.979). However, the decline in land productivity and processing efficiency indicates that production growth was mainly driven by land expansion rather than increased yields per hectare.