Improving Indonesia’s Food Statistics through the Area Sampling Frame Method

Ruslan, Kadir

doi:10.35497/287781

Cited by 9 publications

(9 citation statements)

References 2 publications

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“…Taking into account that 30% of the total protein production (1.3 Mt proteins · year −1 ) is for storage, 41 there is still a difference of around 1.2 Mt proteins · year −1 between those values. One of the reasons for this difference is the use of different methods by different agencies involved in the data collection and production–consumption calculations 42 . Dry matter and protein content vary considerably among regions, plant varieties, and seasons, further complicating the calculations.…”

Section: Current Protein Production In Indonesiamentioning

confidence: 99%

The protein challenge: matching future demand and supply in Indonesia

Sari

Widyarani

Sanders

et al. 2021

Biofuels Bioprod Bioref

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Indonesia has the fourth largest population in the world and in the coming years food production will need to catch up with its growth. To fulfill the protein demand of this growing population, the productivity of the Indonesian agricultural sector should be increased. This can be achieved either by expanding the agricultural land or by increasing the productivity of existing agricultural land and protein use efficiency. An expansion of agricultural land is not always possible or desirable: large parts of Indonesia comprise forest areas, including tropical rain forests. Consequently, the optimization of the use of existing agricultural land is inevitable. The present manuscript describes and discusses the current protein consumption and production in Indonesia. It presents the levels predicted for 2035, which would imply a strong gap between consumption and production. Alternatives therefore need to be considered to avoid protein shortage in the future. These would include the use of new biomass resources, utilization of agricultural residues as alternative protein sources for feed and other nonfood applications, and biorefining of biomass sources. © 2021 Society of Chemical Industry and John Wiley & Sons, Ltd

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Section: Current Protein Production In Indonesiamentioning

confidence: 99%

The protein challenge: matching future demand and supply in Indonesia

Sari

Widyarani

Sanders

et al. 2021

Biofuels Bioprod Bioref

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“…Salah satu kelebihan metode KSA adalah mampu menyediakan perkiraan potensi luas panen padi hingga tiga bulan ke depan berdasarkan pengamatan fase tumbuh tanaman padi secara langsung di lapangan. Hal ini sangat penting untuk memenuhi kebutuhan data sebagai dasar formulasi kebijakan yang sifatnya antisipatif dan berorientasi ke depan terkait komoditas beras di Indonesia (early warning system) [2]. Makalah ini mengevaluasi akurasi perkiraan potensi luas panen tersebut melalui ukuran-ukuran statistik yang lazim digunakan dalam peramalan (forecasting).…”

Section: Pendahuluanunclassified

Peramalan Luas Panen Padi Indonesia Dengan Model ETS (Error, Trend, Seasonal)

Kadir

Prasetyo

2021

msa

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Makalah ini bertujuan untuk mengevaluasi akurasi perkiraan potensi luas panen padi yang dihasilkan melalui metode Kerangka Sampel Area (KSA) dan menyajikan alternatif metode perkiraan luas panen padi dengan mempertimbangkan unsur musimam pada data. Data yang digunakan dalam penelitian ini adalah data realisasi dan potensi luas panen padi hasil Survei KSA periode Januari 2018 sampai dengan Desember 2020. Evaluasi akurasi yang digunakan yaitu nilai Mean Absolute Error (MAE), Root Mean Square Error (RMSE), dan Mean Absolute Percentage Error (MAPE). Metode alternatif peramalan yang digunakan adalah metode ETS. Hasil penelitian menunjukkan perkiraan luas panen padi satu bulan ke depan dengan menggunakan metode KSA memiliki tingkat akurasi yang relatif tinggi, ditunjukkan oleh nilai MAPE yang relatif kecil yakni sebesar 7,52 persen. Sementara itu, ramalan panen menggunakan metode ETS memiliki nilai MAPE, MAE, dan RMSE yang relatif lebih tinggi dibandingkan dengan prediksi panen berdasarkan hasil amatan KSA. Namun, kesalahan peramalan terhadap realisasi luas panen cenderung semakin mengecil seiring dengan penambahan data training. Dengan kata lain, semakin banyak titik data untuk peramalan, semakin baik akurasi hasil peramalan yang dihasilkan oleh metode ETS. Oleh karena itu, model ini dapat dipertimbangkan dalam peramalan luas panen padi dengan menggunakan data hasil Survei KSA ke depannya.

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“…The private sector must acquire quota and permits through a non-automatic import licensing system (Surat Persetujuan Impor or SPI) from the Ministry of Trade after obtaining a recommendation letter from the Ministry of Agriculture. The quota is set through a coordination meeting between five different ministries and agencies and based on production and stock data, which are notoriously inaccurate (Ruslan, 2019). This process also consumes time and results in shortages and price spikes according to various media reports (Yasmin, 2019;Rosana, 2020).…”

Section: Food Supplies In the Business-as-usual Scenariomentioning

confidence: 99%

Indonesian Food Trade Policy during Covid-19

Amanta¹,

Aprilianti²

2020

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The Covid-19 outbreak has brought concerns on food security around the world, including in Indonesia due to disruptions in production and the supply chain. The global cereal market in 2019/2020 is expected to remain well supplied (FAO, 2020). Similarly, the Indonesian Ministry of Agriculture (2020) has claimed that rice supply will last until August, with expected harvest of 12.4 million tons between March to May. However, Indonesia is experiencing a shortage of other food commodities such as garlic, beef, and sugar, which are particularly important during Ramadan.

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Improving Indonesia’s Food Statistics through the Area Sampling Frame Method

Cited by 9 publications

References 2 publications

The protein challenge: matching future demand and supply in Indonesia

The protein challenge: matching future demand and supply in Indonesia

Peramalan Luas Panen Padi Indonesia Dengan Model ETS (Error, Trend, Seasonal)

Indonesian Food Trade Policy during Covid-19

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