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All Journal Jurnal Teknik Informatika (JUTIF) Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi
Darmawan, Risanto
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Public Health Transportation Veterinary

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Implementasi Penggunaan Website E-Commerce Sebagai Sarana Pemberdayaan Masyarakat pada Kecamatan Pasar Rebo Jakarta Timur Avip Kurniawan; Herry Wahyono; Nuke L Chusna; Darmawan, Risanto; Mega Wahyu Rhamadani
ABDIKAN: Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Vol. 2 No. 3 (2023): Agustus 2023
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/abdikan.v2i3.2496

Abstract

In order to empower the community in Pasar Rebo District, this study concentrates on the e-commerce website platform. It will do this by supplying in-depth details about goods and services, facilitating online transactions for the community, and educating the community so that they can launch an online business. To learn more about how people view and interact with e-commerce websites, this study strategy combines surveys, interviews, and data analysis. This study also examines how e-commerce will affect the economy, including how it will open up new markets for regional goods and whether it would raise people's incomes. The constraints of handwritten information are overcome by this platform through the use of dynamic technologies and database connectivity. There is a need for more efficient access to information, particularly in the One Million Orchid Village Program, in the context of community service activities for the subdistrict, community empowerment through increasing access to information, digital skills, and participation in the digital economy. This study created a responsive and effective display using the E-Commerce framework, guaranteeing consistency and accessibility across different devices. In conclusion, the community can gain more economically and socially by using this technology, fostering a competitive and sustainable environment in Pasar Rebo District, East Jakarta.
A Hybrid Decision Support Framework for Food and Nutrition Security Assessment Using Multi-Criteria Decision Making and Machine Learning Solikin, Solikin; Wicaksono, Harjunadi; Setyarini, Tri Ana; Khumaidi, Ali; Darmawan, Risanto
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 1 (2026): JUTIF Volume 7, Number 1, February 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.1.5474

Abstract

Food and nutrition security assessment requires an adaptive analytical approach due to the multidimensional and temporal complexity of food systems. This study proposes a hybrid decision support system integrating Multi-Criteria Decision Making (MCDM) methods, namely Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), with machine learning to evaluate and predict food security indicators dynamically. Panel data from West Java and East Nusa Tenggara for the period 2018–2024 were analyzed to capture structural and temporal characteristics. AHP was used to determine expert-based indicator weights, which were applied in TOPSIS to generate regional food security scores. These scores were subsequently modeled using machine learning with temporal feature engineering, including lag variables and rolling statistics, and evaluated using time-series cross-validation. The results reveal a strong negative correlation (−0.7398) between AHP weights and machine learning feature importance, indicating complementary expert-based and data-driven perspectives. Ridge Regression achieved the best predictive performance with an R² of 0.9983 on training data and 0.8186 under cross-validation. East Nusa Tenggara outperformed West Java in TOPSIS scores (0.4829 vs. 0.4626), highlighting the importance of food stability and utilization. This study advances Informatics by enabling dynamic and adaptive food security decision support.
Co-Authors Ali Khumaidi Avip Kurniawan Harjunadi Wicaksono, Harjunadi Herry Wahyono Mega Wahyu Rhamadani Nuke L Chusna Solikin Solikin Tri Ana Setyarini