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A COLLABORATIVE MODEL FOR SUSTAINABLE COCOA PRODUCTION Karim, Ikawati; A. Syahrir, Nur Hilal; Wulandari, Eliana; Arsal, Ariady; Paliszkiewicz, Joanna
Agrisocionomics: Jurnal Sosial Ekonomi Pertanian Vol 8, No 3 (2024): November 2024
Publisher : Faculty of Animal and Agricultural Science, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/agrisocionomics.v8i3.21046

Abstract

Cocoa in Indonesia nowadays faces some problems including in West Sulawesi which decreased the quality and quantity of cocoa bean. To enhance sustainability through high-quality cocoa production due to the supply of global market demand, it is important to elaborate a collaborative model between two-partner or more.  As a purpose, this study focuses to measure the collaborative model between local cocoa farmers and Swisscontact through the Sustainable Cocoa Production Program (SCPP) in economic, environmental, and social dimensions. Primary data were collected by random sampling of 269 local cocoa farmers at the center of the Sustainable Cocoa Production Program (SCPP). Data were formulated using a scatterplot diagram, pearson correlation, multiple regression, and confirmatory factor analysis through the indicator in economic, environmental, and social dimensions. This paper provides a model of collaboration in which it bargains for stakeholders such as government both local and national, other policymakers, and private sectors to apply for sustainability programs in cocoa production. This model specifically showed a fit and good relationship between two partners as well as a good level of acceptance for the sustainable cocoa production program. Therefore, the origin found that collaboration would be a sophisticated model to be applied to the local cocoa farmers due to increasing their income, reducing the negative impact of environment and improving the quality standard of life.
TOTAL EDGE AND VERTEX IRREGULAR STRENGTH OF TWITTER NETWORK Rusdi, Edy Saputra; A. Syahrir, Nur Hilal
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 1 (2022): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (805.548 KB) | DOI: 10.30598/barekengvol16iss1pp091-098

Abstract

Twitter data can be converted into a graph where users can represent the vertices. Then the edges can be represented as relationships between users. This research focused on determining the total edge irregularity strength (tes) and the total vertices irregularity strength (tvs) of the Twitter network. The value could be determined by finding the greatest lower bound and the smallest upper bound. The lower bound was determined by using the properties, characteristics of the Twitter network graph along with the supporting theorems from previous studies, while the upper bound is determined through the construction of the total irregular labeling function on the Twitter network. The results in this study are the tes(TW)=18 and tvs(TW)=16.