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UPT Publikasi Ilmiah, Universitas Islam Bandung. Jl. Tamansari No. 20, Bandung 40116, Indonesia, Tlp +62 22 420 3368, +62 22 426 3895 ext. 6891
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Bandung Conference Series: Statistics
Published by Universitas Islam Bandung
ISSN : -     EISSN : 2828206X     DOI : https://doi.org/10.29313/bcss.v2i2
Core Subject : Science, Education,
Decision Sciences, Operations Research & Management Education Mathematics
Bandung Conference Series: Statistics (BCSS) menerbitkan artikel penelitian akademik tentang kajian teoritis dan terapan serta berfokus pada Statistika dengan ruang lingkup sebagai berikut: Alternating Least Square, Analisis Konjoin, Autoregressive, Auxiliary Variabel, Baby Birth, Block Maxima, Churn Distribusi Skellam, Cox Regression, Data spasial, DBD Ordinal Logistic Regression, Diagram kendali, Discrete Choice Experiment Method, Discrete Time Logistic, empirical likelihood, Fisher Scoring, Generalized Structured Component Analysis, Geographically Weighted Regression, GEV, GJR GARCH, Infant Mortality Preferensi, Insurance Claim, Kaplan-Meier, Kernel Bi-Square, Gaussian, Logistic Regression, Maternal Mortality, Mixed Geographically Weighted Regression Model GSTAR, MLE, Model ARIMAX, MSE. Multiple linear regression analysis, Nadaraya Watson, Newton Raphson Method, Nonparametrik Spline Confidence Interval, Optimasi Multi-Objek, orde Spasial, Outlier, Pareto Optimal, Partial Proportional Odds Model, Pemodelan Indeks Pembangunan Manusia. Penduga Rasio dan Produk Tipe Eksponensial, Peramalan, Poisson Bivariate Regression, Poisson Regression, Rata-rata Populasi berhingga, Regresi, Return Period Exogenous Variable, RMSE, Structural Equation Modeling, Survival Analysis, Threshold, Vibrasi Bearing, zero-inflated. Prosiding ini diterbitkan oleh UPT Publikasi Ilmiah Unisba. Artikel yang dikirimkan ke prosiding ini akan diproses secara online dan menggunakan double blind review minimal oleh dua orang mitra bebestari.
Arjuna Subject : Matematika - Statistik dan Probabilitas
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Analisis Deskriptif Skor Pola Pangan Harapan (PPH) Per Kabupaten/Kota di Provinsi Jawa Barat Tahun 2020-2024 Khalisha Azzahra; Nusar Hajarisman; Dwi Agustin Nuriani Sirodj
Bandung Conference Series: Statistics 311-318
Publisher : UNISBA Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/bcss.v6i2.26103

Abstract

Abstract. Kualitas konsumsi pangan dapat dinilai melalui Indeks Pola Pangan Harapan (PPH), yang mencerminkan keragaman dan keseimbangan konsumsi pangan masyarakat. Analisis deskriptif terhadap skor PPH, disertai visualisasi spasial, penting dilakukan untuk memahami kondisi ketahanan pangan di Provinsi Jawa Barat serta mengidentifikasi perbedaan kualitas konsumsi pangan antarwilayah yang dapat menjadi dasar kebijakan pangan yang lebih terarah. Penelitian ini bertujuan untuk mendeskripsikan skor PPH di Provinsi Jawa Barat selama periode 2020–2024 serta memvisualisasikan secara spasial perbedaan skor PPH antar kabupaten/kota pada tahun 2024, menggunakan data sekunder dari Open Data Jabar yang dianalisis dengan metode statistik deskriptif. Hasil analisis menunjukkan bahwa rata-rata skor PPH di Jawa Barat meningkat secara konsisten dari 83,794 poin pada tahun 2020 menjadi 91,283 poin pada tahun 2024, disertai penurunan simpangan baku dan rentang yang mengindikasikan semakin meratanya kualitas konsumsi pangan antarwilayah. Meskipun demikian, hasil visualisasi peta pada tahun 2024 memperlihatkan bahwa sebaran skor PPH antar kabupaten/kota masih belum sepenuhnya merata. Kabupaten Indramayu, Kabupaten Ciamis, dan Kota Banjar memiliki skor PPH tertinggi, sementara Kabupaten Bogor, Kota Bogor, dan Kabupaten Tasikmalaya memiliki skor PPH terendah. Perbedaan tersebut mencerminkan karakteristik yang beragam di setiap wilayah, baik dari segi geografis, tingkat urbanisasi, ketersediaan pangan lokal, daya beli masyarakat, maupun kebiasaan konsumsi. Abstrak. The quality of food consumption can be assessed using the Desired Diet Index (PPH), which reflects the diversity and balance of the population’s food consumption. A descriptive analysis of PPH scores, accompanied by spatial visualization, is essential for understanding food security conditions in West Java Province and identifying regional differences in the quality of food consumption, which can serve as the basis for more targeted food policies. This study aims to describe PPH scores in West Java Province during the 2020–2024 period and to spatially visualize differences in PPH scores across regencies and cities in 2024, using secondary data from Open Data Jabar analyzed with descriptive statistical methods. The analysis results show that the average PPH score in West Java increased consistently from 83.794 points in 2020 to 91.283 points in 2024, accompanied by a decrease in standard deviation and range, indicating a more even distribution of food consumption quality across regions. Nevertheless, the results of the 2024 map visualization show that the distribution of PPH scores across regencies and cities is still not entirely even. Indramayu Regency, Ciamis Regency, and Banjar City have the highest PPH scores, while Bogor Regency, Bogor City, and Tasikmalaya Regency have the lowest PPH scores. These differences reflect the diverse characteristics of each region, in terms of geography, level of urbanization, availability of local food.

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