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Departemen Matematika, FMIPA Universitas Sumatera Utara
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Analisis Persepsi dan Nilai Ekonomi Implementasi Eco Enzyme dan Smart Farming di Pondok Pesantren Eumpe Awee Ramli, Ichwana; Siregar, Ameilia Zuliyanti; Nasution, Indera Sakti; Mahidin, Mahidin; Muhibbuddin, Muhibbuddin; Arahman, Nasrul; sulastri, sulastri; melinda, melinda; Nasution, Zulkifli; Nauly, meutia; Siregar, Netti Herlina; Tulus, Tulus
Suluah Bendang: Jurnal Ilmiah Pengabdian Kepada Masyarakat Vol 25, No 2 (2025): Suluah Bendang: Jurnal Ilmiah Pengabdian kepada Masyarakat
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/sb.06420

Abstract

Pengabdian ini bertujuan untuk menganalisis persepsi, minat, dan potensi ekonomi dari penerapan teknologi Eco Enzyme dan Smart Farming di Pondok Pesantren Eumpe Awee. Metode yang digunakan adalah pendekatan Participatory Rural Appraisal (PRA) dengan melibatkan 26 santri sebagai responden utama dan pelaku praktik pertanian. Hasil menunjukkan bahwa sebagian besar santri memiliki tingkat pengetahuan dan minat yang tinggi terhadap teknologi ini, didukung oleh tersedianya sarana seperti sensor kelembapan tanah, sistem irigasi otomatis, dan perlengkapan tanam lainnya yang diperoleh melalui program PMKI Universitas Syiah Kuala. Budidaya kangkung dan bayam yang dilakukan menghasilkan total penerimaan Rp 330.000 dengan biaya produksi Rp 237.000, menghasilkan R/C ratio sebesar 1,39 yang menunjukkan kelayakan finansial. Selain itu, teknologi Eco Enzyme yang dibuat dari limbah organik dan sistem irigasi otomatis berkontribusi terhadap efisiensi sumber daya dan pengurangan penggunaan bahan kimia, memperkuat aspek keberlanjutan lingkungan. Temuan ini mengindikasikan bahwa dengan pendekatan adaptif, pesantren dapat menjadi pusat edukasi sekaligus praktik pertanian berkelanjutan yang memberdayakan santri secara nyata dan aplikatif
A Data-Driven MINLP Approach for Enhancing Sustainability in Blockchain-Enabled e-Supply Chains Badawi, Afif; Efendi, Syahril; Tulus, Tulus; Mawengkang, Herman
Journal of Applied Data Sciences Vol 6, No 4: December 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i4.889

Abstract

Modern e-supply chains are characterized by increasing complexity and a critical need for enhanced sustainability, transparency, and traceability. Blockchain technology emerges as a significant enabler, offering decentralized, immutable ledgers and smart contracts that can support more secure, verifiable, and environmentally responsible operations through trustworthy data. Despite blockchain's potential, a notable gap exists in the availability of quantitative, data-driven optimization models that rigorously assess the operational and sustainability impacts of its integration into e-supply chains, particularly for complex, non-linear system interactions. This study aims to address this gap by presenting an in-depth analysis of a specific Mixed-Integer Non-Linear Programming (MINLP) optimization model. The goal is to clarify its structure, evaluate its application for an e-supply chain incorporating blockchain features (like transaction costs and conceptual smart contract enforcement for compliance) and sustainability objectives (such as carbon emission reduction), and derive practical insights. The methodology involves a detailed exposition of the MINLP model, followed by its application to a defined e-supply chain scenario. The analytical approach includes computational experiments focusing on a base case analysis to demonstrate model functionality. The broader evaluative framework for this study encompasses benchmarking the model’s performance against a conventional system and conducting sensitivity analyses on key parameters to understand performance trade-offs. The initial base case analysis demonstrates the model's capability to optimize supplier selection and operational plans while adhering to sustainability constraints, such as maintaining carbon emissions at or below 300 kg CO₂ per period, and accounting for blockchain-specific costs like a per-supplier usage fee of 500. The structure of the model and preliminary insights suggest its potential to achieve improved environmental impact compared to conventional systems, balanced against associated blockchain implementation costs. This research provides a detailed examination of a complex MINLP structure, offering a data-driven analytical approach for assessing blockchain's role in sustainable e-supply chains. It furnishes a foundational framework and insights that can guide managerial decisions and strategic planning for industries transitioning towards greener, more transparent, and digitally advanced supply chain operations.
A Data-Driven Mixed Integer Nonlinear Programming Model for Cost-Optimal Scheduling of Perishable Production and Workforce Putri, Mimmy Sari Syah; Mawengkang, Herman; Suwilo, Saib; Tulus, Tulus
Journal of Applied Data Sciences Vol 6, No 4: December 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i4.1019

Abstract

This study presents a data-driven, Mixed Integer Nonlinear Programming (MINLP) framework for optimizing the multi-period production scheduling of perishable products with integrated workforce planning. Its primary novelty is the holistic integration of a continuous exponential decay function for product deterioration with dynamic workforce planning, creating a unified model that optimizes production, inventory, and labor simultaneously. This approach addresses key challenges in perishable inventory systems by treating labor as a controllable resource rather than a fixed constraint. Mathematically, the model includes nonlinear inventory balance equations with decay terms and resource-dependent capacity constraints. The objective is to minimize total operational cost, comprising production, holding, and spoilage costs. Computational experiments, based on a realistic case study, demonstrate that the proposed model reduces total system cost by 6.2% and spoilage costs by 43.2% compared to a standard heuristic benchmark. The resulting production and labor schedules align closely with demand fluctuations, supporting both economic and operational efficiency. This unified framework advances the mathematical modeling of sustainable production planning and offers a practical tool for real-world industries such as food processing and pharmaceuticals.
Pelatihan dam implementasi eko enzim mendukung pertanian ramah lingkungan memitigasi ketahanan pangan di Pesantren Al Kautsar, Medan Siregar, Ameilia Zuliyanti; Nasution, Zulkifli; Nauly, Meutia; Tulus, Tulus; Siregar, Netti Herlina; Ramli, Ichwana; Mahidin, Mahidin; Nasrul, Nasrul; Nasution, Indera Sakti; Melinda, Melinda; Muhibuddin, Muhibuddin
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 9, No 5 (2025): September (In Progress)
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v9i5.34006

Abstract

Abstrak Kegiatan Pengabdian masyarakat Kolaborasi Indonesia (PMKI) USU 2025 sebagai co-host dengan host Universitas Syiah Kuala (USK) ini dilaksanakan di Pondok Pesantren Al Kautsar Al Akbar, Medan, dengan tujuan meningkatkan pengetahuan dan keterampilan santri dalam mengolah sampah organik menjadi ekoenzim sebagai produk ramah lingkungan yang bermanfaat. Metode yang digunakan adalah Asset Based Community Development (ABCD) melalui tahapan discovery, dream, design, define, dan destiny. Pelaksanaan meliputi Sosialisasi, Pelatihan pembuatan ekoenzim, pembuatan desinfektan berbahan ekoenzim, serta implementasinya pada kegiatan berkebun. Sebanyak 40 santri (15 putra dan 25 putri, rentang usia 14-17 Tahun, santri dari kelas 1, 2, 3 SMA) yang mengikuti kegiatan,  diawali dengan pre-test dan diakhiri dengan post-test. Hasil evaluasi menunjukkan peningkatan pemahaman signifikan, dengan rata-rata nilai pre-test 65,25 dan post-test 93,5. Sebanyak 95% peserta menyatakan kegiatan sangat menarik, 93% menyatakan bermanfaat, dan 89% menyatakan pemahamannya meningkat. Kegiatan ini berhasil membekali santri dengan keterampilan pengolahan sampah organik menjadi produk bernilai guna dalam bentuk eko enzim yang mendukung pertanian ramah lingkungan dan mitigasi masalah ketahanan pangan di lingkungan pesantren. Kata kunci: ekoenzim; pengolahan sampah organik; pertanian ramah lingkungan; pengabdian masyarakat. Abstract The Indonesian Collaboration Community Service (ICCS) of University Sumatera Utara Programme 2025 as co-hosy qith host was University Syiah Kuala (USK) was conducted at Pondok Pesantren Al Kautsar Al Akbar, Medan, aiming to enhance students’ knowledge and skills in processing organic waste into eco-enzyme, an environmentally friendly and beneficial product. The program adopted the Asset Based Community Development (ABCD) method through five stages: discovery, dream, design, define, and destiny. Activities included awareness sessions, eco-enzyme production training, eco-enzyme-based disinfectant preparation, and its application in gardening activities. A total of 40 students (15 males and 25 females, age rates was 14-17 years old, consit of 1, 2, 3 SMA students),  starting with a pre-test and ending with a post-test. Evaluation results indicated a significant improvement in understanding, with average pre-test and post-test scores of 65.25 and 93.5, respectively. Furthermore, 95% of participants stated the program was very interesting, 93% found it beneficial, and 89% reported increased comprehension. This program successfully equipped students with skills in organic waste processing into value-added products, while supporting environmentally friendly agriculture and contributing to food security resilience in the pesantren environment. Keywords: eco-enzyme; organic waste processing; community service; environmentally friendly agriculture.
Co-Authors Abdul Aziz Ahmad Ameilia Zuliyanti Siregar Andrew Satria Lubis Aunurrahman Aunurrahman Badawi, Afif Bambang Trisakti Budhiarti Nababan, Erna Christian Sinaga, Christian Christy, Claudia Dahlan, Hesti Destanul Aulia, SKM., MBA., M.Ec., Ph.D Dewi, Rafiqa Efendi, Syahril Elviwani Freddy Sutanto Halida Halida Herman Mawengkang Indera Sakti Nasution Irvan J.L. Marpaung Jonathan Liviera Marpaung Liana Liana M.R. Syahputra Mahidin Mahidin Mardiningsih Mardiningsih Marpaung, Nicholas Marpaung, Rony Genevent Melinda Melinda Meutia Nauly Muhammad Zarlis, Muhammad Muhibbuddin Muhibbuddin Muhibuddin Muhibuddin, Muhibuddin Mulya, Hadi Nababan, Junerdi Nabiyah, Ismi Ratin Nasrul Arahman Nasrul Nasrul Nurzainah Ginting Panjaitan, Nismah Putri, Mimmy Sari Syah Ramli, Ichwana Rivaldi Sidabutar Rony Marpaung Saib Suwilo Saib Suwilo Salim, Opim Sawaluddin Nasution Sawaluddin Sawaluddin, Sawaluddin Siregar, Netti Herlina Suharno Suharno Sulastri Sulastri Suriati Syahputra, Indra Edy Syamsul Arifin T.J. Marpaung Wigati, Ndaru Zakarias Situmorang Zulkifli Nasution