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Determinan Produktivitas Pangan dan Konsumsi Kalori di Indonesia Tahun 2020 Siallagan, Maria Angelika H; Rahmah, Aisyah ‘Azizah Nur; Saputra, Martino Dwi; Hidayat, Ahmad Sovi; Arthamevia, Aisha; Budiasih, Budiasih
Seminar Nasional Official Statistics Vol 2023 No 1 (2023): Seminar Nasional Official Statistics 2023
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/semnasoffstat.v2023i1.1897

Abstract

One of the objectives in the Sustainable Development Goals (SDGs) agenda is to achieve the eradication of hunger, improve food security, enhance nutrition, and promote sustainable agriculture. However, environmental quality can influence the productivity and accessibility of food crops for communities. This study aims to investigate the impact of the environment on productivity and calorie consumption in 32 provinces of Indonesia using ensemble clustering and logistic regression with Penalized Maximum Likelihood Estimation (PMLE). The research findings indicate that 15 provinces in Indonesia have calorie consumption below the standard caloric sufficiency and exhibit below-average productivity for rice, corn, and chili compared to the national average. Furthermore, the logistic regression analysis with PMLE reveals that air and water quality positively and significantly influence food productivity and calorie consumption levels.
DEVELOPING A MICRO-ENTERPRISE E-READINESS FRAMEWORK: A CASE STUDY FROM INDONESIA Wilantika, Nori; Kartiasih, Fitri; Pasaribu, Ernawati; Arthamevia, Aisha; Anang, Yunarso; Hidayanto, Achmad Nizar
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 3 (2026): JITK Issue February 2026
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i3.7189

Abstract

Micro-enterprises play a vital role in Indonesia’s economy but continue to face persistent barriers in adopting information and communication technology (ICT). Understanding E-Readiness is essential for implementing effective digital interventions, especially for micro-enterprises. To address the lack of validated frameworks for assessing digital readiness at the micro-enterprise level, this study develops and empirically tests a novel E-Readiness Assessment Framework specifically designed for micro-enterprises. The proposed conceptual model consists of four dimensions: Technology, Organisation, External Environment, and Human Resources, which are derived from established e-readiness models. This study also proposed the measurement indicators that have been adapted to the characteristics of micro enterprises. Using quantitative data from 641 food and beverage (F&B) micro-enterprises in Batu City, Indonesia, exploratory factor analysis (EFA) was applied to evaluate construct validity. Despite the elimination of five indicators due to insufficient communality value, the overall model structure remained statistically valid. Subsequently, factor analysis was succeeded by the calculation of E-Readiness index using weighted aggregation and normalisation methods.  The resulting E-Readiness Index for Batu City was 46.47, with 57.10% of enterprises classified as “Not Ready,” primarily due to technological and infrastructural limitations.  The proposed model in this study efficiently assesses e-readiness at the micro-enterprise level and is adaptable for application in different regions or business sectors.  This model also provides valuable insights for policymakers in formulating targeted digital support initiatives.  Future research may consider expanding the scope of indicators and validating the model using confirmatory analysis.