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All Journal JURNAL PENDIDIKAN TAMBUSAI Jurnal Logistik Indonesia Automotive Experiences
Jasmine, Tamara Latifah
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Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Materials Science & Nanotechnology Mechanical Engineering Social Sciences

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Designing a Livestock Ecosystem Platform for Smallholders Farmers Faza, Iqbal; Jasmine, Tamara Latifah
Jurnal Logistik Indonesia Vol. 6 No. 2: Oktober 2022
Publisher : Institut Ilmu Sosial dan Manajemen Stiami

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31334/logistik.v6i2.2634

Abstract

This research aims to develop and create a simple of user-friendly marketplace platform called “Pasar Kebo for the farming (livestock) ecosystem in Kudus Regency as well as testing the effectiveness of the product. With this platform, it is hoped to create an integrated farming ecosystem, thereby creating an efficient supply chain management system. This will make it easier for smallholder farmers to obtain livestock production facilities to sell their livestock products in the market. So this will certainly improve the welfare of the livestock ecosystem members. For the government, this platform can be useful to provide accurate data in the mapping and monitoring of animal production, as well as a basis for the implementation of appropriate policies in the livestock sector. Data collection was accomplished through direct interviews with several Kudus breeders as well as observations at the Office of Agriculture in the Kudus Regency livestock sector.This research is longitudinal, so it will be carried out in stages, and each stage uses a different method. For this step, we tried to develop a prototype. For the next stage, it will be developed until this breeding ecosystem market platform is really perfectly realized.
Implementasi Green Supply Chain Management : Tinjauan Literatur Jasmine, Tamara Latifah; Faza, Iqbal
Jurnal Pendidikan Tambusai Vol. 6 No. 1 (2022): 2022
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jptam.v6i1.25725

Abstract

Persaingan industri manufaktur yang semakin ketat di era modern ini, mendorong perusahaan atau suatu bisnis untuk terus berkembang dengan tujuan meningkatkan keuntungan. Kesadaran akan dampak lingkungan saat ini menjadi pertimbangan perusahaan guna menciptakan bisnis yang berkelanjutan. Supply Chain Management (SCM) yang menjadi salah satu strategi bisnis perusahaan mulai beralis menjadi Green Supply Chain Management (GSCM) yang mempertimbangkan aspek lingkungan dalam prosesnya. Beberapa penelitian yang sudah dilakukan oleh para akedmisi, ditemukan bahwa praktik implementasi GSCM di negara maju seperti Amerika, Inggris, Jepang dan China lebih baik dibandingkan dengan negara berkembang seperti India. Salah satu yang menjadi pertimbangan dalam penerapan GSCM adalah terkait aturan pemerintah guna pengurangan emisi untuk menjaga lingkungan dan meningkatkan aspek ekonomi yaitu pengurangan biaya operasi. Implementasi GSCM saat ini sudah dilakukan di berbagai sektor bisnis seperti industri manufaktur, industri makanan, industri listrik , transportasi dan lain-lain.
A Simulation Based Metaheuristics for Capacitated Vehicle Routing Problem Jasmine, Tamara Latifah; Putro, Heru Purboyo Hidayat; Prilandita, Niken; Yudoko, Gatot
Automotive Experiences Vol 8 No 1 (2025)
Publisher : Automotive Laboratory of Universitas Muhammadiyah Magelang in collaboration with Association of Indonesian Vocational Educators (AIVE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/ae.13242

Abstract

Waste collection and transportation are essential elements of effective waste management. However, despite their importance, previous studies have highlighted several challenges, such as routing inefficiencies and environmental concerns. This study seeks to develop an optimized approach for waste collection and transportation under conditions of demand uncertainty, capacity limitations, and traffic constraints, through the application of a simheuristics-based method. The methodology utilizes a simheuristics approach, integrating a Genetic Algorithm (GA) to determine optimal routing solutions, while employing Discrete Event Simulation (DES) to incorporate key economic, environmental, and social variables. Data were obtained from field experiments and Google Maps, and assumptions regarding capacity requirements, distances and collection points, transportation cost components, and road conditions were established to ensure the reliability of the simulation results. The application of the simheuristics approach effectively reduces total transportation costs by approximately 51%, while also significantly minimizing environmental impacts. This research contributes to the academic literature by presenting an innovative method that strengthens existing waste collection strategies with an emphasis on sustainability. Additionally, it offers valuable insights for waste management policy, enabling the optimization of waste collection without exceeding capacity limits.
Co-Authors Faza, Iqbal Gatot Yudoko Heru Purboyo Hidayat Putro Prilandita, Niken