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All Journal Jurnal Gaussian Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Kreativitas PKM JURNAL PANGAN Jurnal Informatika dan Rekayasa Elektronik Jurnal Keluarga Berencana Abdi: Jurnal Pengabdian dan Pemberdayaan Masyarakat Al-Muqayyad Mitra Ash-Shibyan: Jurnal Pendidikan dan Konseling Unri Conference Series: Community Engagement Parameter: Journal of Statistics International Journal of Industrial Engineering and Engineering Management Journal of Community Engagement Research for Sustainability VARIANSI: Journal of Statistics and Its Application on Teaching and Research Jurnal Ilmiah Niagara JSTAR
Anne Mudya Yolanda
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Environmental Science Health Professions Industrial & Manufacturing Engineering Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Journal : JURNAL PANGAN

 1 
Online Food Marketing in Supporting Food Security Based on the Perspective of Urban Consumers in Riau Province Fanny Septya; Yulia Andriani; Anne Mudya Yolanda
JURNAL PANGAN Vol. 32 No. 1 (2023): PANGAN
Publisher : Perum BULOG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33964/jp.v32i1.623

Abstract

Changes in people’s behavior in shopping for food needs from offline to online are rife in urban communities, especially in Pekanbaru and Dumai cities. This study aimed to identify consumer characteristics and gaps in online food purchase activities and analyze the mapping of consumer perceptions of online food marketing in support of regional food security. The research used a qualitative and quantitative descriptive approach with a nonmetric multidimensional scaling (MDS) analysis tool. The data collection method used a survey purposively selected 140. The results showed that the majority of consumers who purchased food online were women, with the majority of respondents being 26–35 years old, having a high school education and household income of Rp3,000,000.00–4,999,000.00 and having two dependents in the family. The monthly online food expenditure averaged Rp300,000.00 twice the monthly buying frequency. Food types often purchased online were frozen food and ready-made food. Based on the analysis of perception mapping, the availability of food products in the online market all the time, affordable food prices, transaction facilities, improvement of food distribution systems, and the use of varied and diverse foods selections were the determining indicators for online food marketing in supporting regional food security according to the perspective of urban consumers. 
Segmentasi Provinsi di Indonesia berdasarkan Data Runtun Waktu Produksi Padi dengan Algoritma DTW dan K-Medoids Clustering Yolanda, Anne Mudya; Savira, Husna
JURNAL PANGAN Vol. 33 No. 3 (2024): PANGAN
Publisher : Perum BULOG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33964/jp.v33i3.847

Abstract

        Sektor pertanian, khususnya tanaman pangan padi, memiliki peranan penting bagi perekonomian Indonesia. Analisis data historis produksi padi atau data runtun waktu produksi padi dapat memberikan gambaran pola produksi dan segmentasi wilayah berdasarkan karakteristik tanaman padi. Penelitian ini menggunakan algoritma DTW dan K-Medoids Clustering untuk melakukan segmentasi provinsi di Indonesia berdasarkan data produksi padi tahun 2013-2021. Hasil penelitian menunjukkan tiga cluster wilayah dengan karakteristik produksi padi yang berbeda. Setiap cluster menunjukkan pola produksi yang berbeda dengan anggota cluster lainnya, yang disebabkan oleh perbedaan jarak DTW dalam mengukur kesamaan pola produksi. Cluster 1 memiliki produksi tertinggi, diikuti oleh Cluster 2 dan Cluster 3, masing-masing terdiri dari 16, 7, dan 11 provinsi. Temuan ini dapat digunakan sebagai dasar pengembangan kebijakan pemerintah sesuai karakteristik masing-masing segmen.             The agricultural sector, particularly rice crops, plays a crucial role in Indonesia’s economy. Analyzing rice production historical data, or rice production time series data, can provide insights into production patterns and regional segmentation based on rice crop characteristics. This study employed the DTW algorithm and K-Medoids Clustering to segment provinces in Indonesia based on rice production data from 2013 to 2021. The results of the study indicated three clusters of regions with distinct rice production characteristics. Some regions exhibited different production patterns from other cluster members, attributed to variations in DTW distances used to measure pattern similarity. Cluster 1 had the highest production, followed by Cluster 2 and Cluster 3, with 16, 7, and 11 provinces respectively. These findings can serve as a basis for government policy development tailored to the characteristics of each segment.
Co-Authors Achmad Isya Alfassa Adia Syaputri Agung Satrio Wicaksono Agung Satrio Wicaksono Agus Kurniawati Althoff Hibban Andriani, Yulia Arisman Adnan Ayu Agustiani Azra Aulia Dwiputri Bustami Bustami Bustami Dewi, Ratna Mustika Dimas Abyan Fatkhin Al-Aswad Ecelly Indriani Putri Eva Eriani Fandi Gusriyanda Febrianti, Lusi Finda, Ingla Goldameir, Noor Ell Gumanti Gustriza Erda Haposan Sirait Haposan Sirait Imtikhanah Anis Mahmudiati Indra, Zul Irfansyah Irfansyah Isti Yuliani Kristiana Yunitaningtyas Lafina, Melanie Maria M. Ridhwan M. SYIFA RAMADHAN Mulya, Ridho Tri Musraini M Noor Ell Goldameir Nurhaliza Nurhannifah Rizky Tampubolon Nurul Imani Nusantri Purba Okta Bella Syuhada Okta Bella Syuhada Putri Sion Cahayana Rahmad Ramadhan Laska Raudatul Yusra Ridho Tri Mulya Riko Febrian Rustam Efendi Rustam Efendi Safitri, Nuraini Sarasmita Apriyenti Savira, Husna Septya, Fanny Siti Farika Sari SITI SUHAILA Sukamto Syaftiani Dwi Astuti Syamsudhuha Syamsudhuha Syamsudhuha T, Masrina Munawarah T, Nurhannifah Rizky Tata, Tata Thahira, Nisha Thearas, Lia Tira Mei Darnis Titi Solfitri Windy Maya Sari Yenita Roza Zahra, Lathifah