Enhancing adhesivity and mechanical performance of sansevieria fiber-reinforced composites through alkali treatment Edi Widodo, Mulyadi, Annisa Kesy Garside, Willy Artha Wirawan, Nur Haizal Mat Yaakob@Ariffin South African Journal of Chemical Engineering, 2025 Natural fiber-reinforced composites have great potential as they have good mechanical properties and are environmentally friendly and sustainable. This study improves the adhesivity properties of Sansevieria natural fiber composite reinforcement through alkali treatment. Alkaline soaking of sansevieria fibers for 2 hours using a 5% NaOH solution. Furthermore, the fiber is used as a composite reinforcement with a polyester resin matrix. Characterization of the chemical properties of the composite was carried out by TGA and XRD tests, mechanical properties tests by tensile tests, morphological observation using SEM, and pull-out tests. The results showed that alkali treatment of the fibers could increase the tensile strength of the composite by 142.7 MPa, up 70% from the fiber-reinforced composite without alkali. XRD and EDX analysis indicated changes in the crystal structure and surface composition of the fibers after alkali treatment. This fact indicates the contribution of alkali to the increase in adhesivity. This improvement is also supported by the higher pull-out test results in the composites with alkali-treated fibers. The results show that alkali treatment is an effective method to improve the adhesivity properties of sansevieria fibers in composites, thus potentially improving the overall mechanical performance of the composites.
ANALYZING CONSUMER PREFERENCE DYNAMICS IN AMAZON REVIEW DATA USING DOUBLE PROPAGATION-BASED SENTIMENT ANALYSIS Journal of Theoretical and Applied Information Technology, 2025
Integrating IoT Sensors and Data Analytics to Optimize the Sustainable Production Routing Problem in Industry 5.0 Annisa Kesy Garside, Mohd Nabil Muhtazaruddin, Robiah Ahmad, Nelidya Md Yusoff, Hazilah Mad Kaidi, Shamsul Sarip Proceeding of the IEEE International Conference on Smart Instrumentation Measurement and Applications Icsima, 2025 This study presents a conceptual framework that integrates Internet of Things (IoT) sensors and data analytics into the Sustainable Production Routing Problem (SUPRP), aligning with Industry 5.0 principles. The framework enables real-time parameter estimation by processing sensor data through descriptive and predictive analytics, capturing dynamic conditions such as cost, emissions, and safety risks. These estimated parameters serve as inputs to a multi-objective optimization model solved using exact or metaheuristic methods. Compared to static approaches, the proposed architecture supports adaptive and sustainability-oriented decision-making across production and distribution planning. While implementation is left for future work, the framework provides a structured foundation for real-world applications in smart manufacturing and logistics.
A recent review of solution approaches for green vehicle routing problem and its variants Annisa Kesy Garside, Robiah Ahmad, Mohd Nabil Bin Muhtazaruddin Operations Research Perspectives, 2024 The green vehicle routing problem (GVRP) has been a prominent topic in the literature on logistics and transportation, leading to extensive research and previous review studies covering various aspects. Operations research has seen the development of various exact and approximation approaches for different extensions of the GVRP. This paper presents an up-to-date and thorough review of GVRP literature spanning from 2016 to 2023, encompassing 458 papers. significant contribution lies in the updated solution approaches and algorithms applied to both single-objective and multi-objective GVRP. Notably, 92.58% of the papers introduced a mathematical model for GVRP, with many researchers adopting mixed integer linear programming as the preferred modeling approach. The findings indicate that both metaheuristics and hybrid are the most employed solution approaches for addressing single-objective GVRP. Among hybrid approaches, the combination of metaheuristics-metaheuristics is particularly favored by GVRP researchers. Furthermore, large neighborhood search (LNS) and its variants (especially adaptive large neighborhood search) emerges as the most widely adopted algorithm in single-objective GVRP. These algorithms are proposed within both metaheuristic and hybrid approaches, where A-/LNS is often combined with other algorithms. Conversely, metaheuristics are predominant in addressing multi-objective GVRP, with NSGA-II being the most frequently proposed algorithm. Researchers frequently utilize GAMS and CPLEX as optimization modeling software and solvers. Furthermore, MATLAB is a commonly employed programming language for implementing proposed algorithms.
Solving heterogeneous fleet vehicle routing problem with clarke wright saving heuristic and genetic algorithm Annisa Kesy Garside, Leni Erlinda, Ikhlasul Amallynda Aip Conference Proceedings, 2024 Vehicles are one of the modes of transportation that play an essential role in the distribution of goods. However, transportation costs are affected by vehicle type, loading and unloading capacity, and transportation distance. This study aims to determine vehicle type allocation based on capacity priorities and routes that minimize distance and transportation costs. The Clarke Wright saving heuristic is used to determine retail vehicle allocation, and the genetic algorithm determines the best route for each vehicle. Based on a real-world application at one of Indonesia's LPG distributor companies, both methods can provide distance savings of 58.25% and transportation cost savings of 22.82%.
Salp swarm algorithm for solving green vehicle routing problem Annisa Kesy Garside, Dana Marsetiya Utama, Astrid Hilda Yunnia Aip Conference Proceedings, 2024 Given the importance of transportation in logistics operations, the vehicle routing problem (VRP) is critical to logistics practice. The Green Vehicle Routing Problem (GVRP) is a variation of the VRP that focuses on issues related to sustainable transportation. GVRP's goal is to balance the economy and environmental costs by developing effective solutions to environmental and financial concerns. The purpose of this paper is to propose a Salp Swarm Algorithm (SSA) to solve the GVRP. Using the benchmark test instance E-n23-k3, a numerical experiment is carried out to test the proposed algorithm. The results show that the SSA outperforms the Route Splitting Tabu Search (RS-TS). On average, the total cost is reduced by 1.41%. Furthermore, we show that the use of various modes of transportation affects fuel consumption, emission costs, and vehicle usage costs.
Enhanced Sustainability Assessment Framework for Plywood Manufacturing: A Multi-Method Approach Using Delphi Technique, BWM, and S-VSM Annisa Kesy Garside, Tyas Yuli Rosiani, Adelya Amanda, Thomy Eko Saputro, Eduardo E Oliveira Jurnal Optimasi Sistem Industri, 2024 Sustainable manufacturing has emerged as a critical priority in addressing the complex environmental, social, and economic challenges of modern industry. This study focuses on the plywood sector, a significant contributor to manufacturing, which faces distinct sustainability issues such as high energy consumption, material inefficiencies, and hazardous working conditions. To address these challenges, the research introduces workload and noise level as critical indicators for assessing sustainability, broadening the scope of traditional evaluation methods. A multi-method framework was employed, integrating the Delphi technique to identify key sustainability indicators, the Best Worst Method (BWM) to assign weights to these indicators, and Sustainable Value Stream Mapping (S-VSM) paired with a Traffic Light System (TLS) to evaluate and visualize the Manufacturing Sustainability Score (MSS). Applied to a plywood manufacturing case study, the framework highlighted areas requiring improvement, particularly in worker well-being and operational safety, while demonstrating the industry's moderate overall efficiency. By offering actionable insights for improving resource use, operational processes, and employee conditions, this framework provides a practical tool for industry managers aiming to enhance sustainability. Furthermore, its adaptability makes it a valuable reference for other manufacturing sectors seeking to implement resource-efficient and sustainable practices. This research not only fills critical gaps in sustainability assessment but also contributes to advancing industry practices by emphasizing holistic and innovative approaches to manufacturing efficiency.
Determination of Preventive Maintenance Interval Based on Reliability Threshold and Risk-Based Maintenance GM Akbar, AK Garside, RW Wardana Performa: Media Ilmiah Teknik Industri 25 (1), 60-70 , 2026 2026
From Waste to Resource: A Material Flow Analysis for Circular Economy Pathways in the Indonesian End-of-Life Tire Supply Chain B Dewangga, AK Garside, I Amallynda, I Masudin Circular Economy and Sustainability 6 (2), 112 , 2026 2026
PERANCANGAN CYLINDER CATCHPOT VACUUM INFUSION SEBAGAI MEDIA PEMBUAT KOMPOSIT SERAT KARBON FY Utama, M Irfan, AK Garside, AN FG, FI Abdi Otopro, 30-37 , 2025 2025
Integrating IoT Sensors and Data Analytics to Optimize the Sustainable Production Routing Problem in Industry 5.0 AK Garside, MN Muhtazaruddin, R Ahmad, NM Yusoff, H Mad Kaidi, ... 2025 IEEE 11th International Conference on Smart Instrumentation … , 2025 2025
Rancang Bangun Alat Deteksi Cepat Kualitas Air Bersih Berbasis Internet of Things A Bachri, AK Garside, M Junaidi, EW Santoso KOMPUTEK 9 (2), 19-28 , 2025 2025
Prioritizing Critical Success Factors in Humanitarian Supply Chains: A Hybrid Intuitionistic Fuzzy AHP-TOPSIS Approach A Khoidir, FA Bili, AK Garside Jurnal Teknik Industri 26 (2), 221-238 , 2025 2025
A multi-objective PSO approach for sustainable production routing: Balancing cost, emissions, and social impact AK Garside, N Setyawan, MN Muhtazaruddin, R Ahmad, A Khoidir Jurnal Teknik Industri 26 (2), 183-200 , 2025 2025 Citations: 1
Multi-objective green vehicle routing problem with time windows using particle swarm optimization DD Alvionita, AK Garside, DM Utama, A Khoidir AIP Conference Proceedings 3179 (1), 060010 , 2025 2025
Enhancing Adhesivity and Mechanical Performance of Sansevieria Fiber-Reinforced Composites Through Alkali Treatment E Widodo, AK Garside, WA Wirawan, NHM Yaakob South African Journal of Chemical Engineering , 2025 2025 Citations: 7
A novel multi-objective optimization model for production routing problem with sustainability dimensions AK Garside, MNB Muhtazaruddin, R Ahmad, A Mukhlason Journal of Cleaner Production 502, 145273 , 2025 2025 Citations: 4
Identifikasi Air Tanah Berbasis Model Struktur Geologi dengan Metode Geolistrik AA Darmawan, AK Garside, E Setyono, C Saleh Jurnal Ilmiah Universitas Batanghari Jambi 25 (1), 912-917 , 2025 2025
Analyzing Consumer Preference Dynamics in Amazon Review Data Using Double Propagation based Sentiment Analysis BS Rintyarna, W Suharso, A Sanosra, AK Garside Journal of Theoretical and Applied Information Technology 103 (3), 1045-1052 , 2025 2025
Upaya Mereduksi Waste Produk Sepatu Article Professional DenganMetode Lean Six Sigma F Istigfara, AK Garside, SK Dewi JMSE: Journal of Manufacturing Systems Engineering 1 (1) , 2025 2025
Pengendalian Persediaan Dengan Menggunakan Metode ContinuousAnd Periodic Review Policy Berdasarkan Klasifikasinya MK Boer, I Masudin, AK Garside JMSE: Journal of Manufacturing Systems Engineering 1 (1) , 2025 2025
Enhanced Sustainability Assessment Framework for Plywood Manufacturing: A Multi-Method Approach Using Delphi Technique, BWM, and S-VSM AK Garside, TY Rosiani, A Amanda, TE Saputro, EM Oliveira Jurnal Optimasi Sistem Industri 23 (2), 188-206 , 2025 2025 Citations: 1
Integration of Servqual, Kano Model, Kansei Engineering, and TRIZ for Service Quality Improvement in Courier Logistics HR Nadila, AK Garside, DM Utama, TY Rosiani Jurnal Teknologi dan Manajemen 23 (2), 25-36 , 2025 2025
Peningkatan Kualitas Layanan Logistik Melalui Integrasi Model Kano dan Servqual: Studi Kasus pada PT. Pos Gondang, Mojokerto TY Rosiani, IA Prabowo, AK Garside, I Amallynda 2025
Strengthening MSME Products Through Legal Compliance, Brand Management, and Improved Packaging Design: Penguatan Produk UMKM Melalui Pemenuhan Unsur Legalitas, Manajemen Merek … I Amallynda, M Lukman, AK Garside Dinamisia: Jurnal Pengabdian Kepada Masyarakat 8 (6), 1953-1963 , 2024 2024 Citations: 1
Multi-objective optimization for sustainable production routing problem using NSGA-II algorithm AK Garside, MN Muhtazaruddin, R Ahmad, NM Yusoff, NA Bani, ... 2024 IEEE 12th Region 10 Humanitarian Technology Conference (R10-HTC), 1-6 , 2024 2024 Citations: 2
Penguatan Aspek Manejemen Produksi pada Kelompok Wanita Tani Puspa Kencana S Dewi, AK Garside Jurnal Pengabdian Masyarakat 2 (2), 101-107 , 2024 2024 Citations: 1
MOST CITED SCHOLAR PUBLICATIONS
Manajemen Logistik AK Garside, D Rahmasari Universitas Muhammadiyah Malang , 2017 2017 Citations: 102
Usulan Perawatan Sistem Boiler dengan Metode Reliability Centered Maintenance (RCM) H Rachman, AK Garside, HM Kholik Jurnal Teknik Industri 18 (1), 86-93 , 2017 2017 Citations: 69
Perancangan Website Sebagai Media Promosi Dan Penjualan Pada Home Industry Abon SK Dewi, AK Garside Jurnal Teknik Industri 15 (2), 170-181 , 2014 2014 Citations: 64
A recent review of solution approaches for green vehicle routing problem and its variants AK Garside, R Ahmad, MNB Muhtazaruddin Operations Research Perspectives 12, 100303 , 2024 2024 Citations: 60
The measurement of physical workload and mental workload level of medical personnel DP Restuputri, AK Pangesti, AK Garside Jurnal Teknik Industri 20 (1), 34-44 , 2019 2019 Citations: 55
Penerapan Lean Manufacturing untuk Meminimasi Waste Percetakan Box ED Krisnanti, AK Garside Jurnal INTECH Teknik Industri Universitas Serang Raya 8 (2), 99-108 , 2022 2022 Citations: 41
Artificial bee colony algorithm for solving green vehicle routing problems with time windows DM Utama, TA Fitria, AK Garside Journal of Physics: Conference Series 1933 (1), 012043 , 2021 2021 Citations: 40
penjadwalan produksi menggunakan algoritma jadwal non delay untuk meminimalkan makespan studi kasus di cv. Bima mebel S Harto, AK Garside, DM Utama spektrum industri 14 (1), 79 , 2016 2016 Citations: 30
Simulasi ketersediaan beras di Jawa Timur AK Garside, HY Asjari Jurnal Ilmiah Teknik Industri 14 (1), 47-58 , 2015 2015 Citations: 29
Penjadwalan job shop dengan pendekatan algoritma artificial immune system R Nasution, AK Garside, DM Utama Jurnal Teknik Industri 18 (1), 29-42 , 2017 2017 Citations: 23
Penjadwalan Flow Shop untuk Meminimasi Total Tardiness Menggunakan Algoritma Cross Entropy–Algoritma Genetika DM Utama, LR Ardiansyah, AK Garside Jurnal Optimasi Sistem Industri 18 (2), 133-141 , 2019 2019 Citations: 19
Pengembangan algoritma hybrid flowshop three-stage dengan mempertimbangkan waktu setup AK Garside, DM Utama, W Wicaksono Jurnal Ilmiah Teknik Industri , 2019 2019 Citations: 19
Particle swarm optimization algorithm to solve vehicle routing problem with fuel consumption minimization BNIF Ramadhani, AK Garside Jurnal Optimasi Sistem Industri 20 (1), 1-10 , 2021 2021 Citations: 18
Penguatan Aspek Produksi dan Pemasaran pada Usaha Keripik Singkong Mix Sayur AK Garside, T Baroto, ORG Waibo JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat), 61-68 , 2020 2020 Citations: 17
A Cluster-First Route-Second Heuristic Approach to Solve The Multi-Trip Periodic Vehicle Routing Problem AK Garside, NR Laili Jurnal Teknik Industri 20 (2), 172-181 , 2019 2019 Citations: 17
Perancangan Sistem Informasi Laboratorium Teknik Industri Universitas Muhammadiyah Malang AK Garside, DM Utama Research Report 1 (1) , 2017 2017 Citations: 17
Integration of rough SWARA and COPRAS in the performance evaluation of third-party logistics providers E Rosiana, AK Garside, I Amallynda Jurnal Teknik Industri 22 (1), 31-42 , 2021 2021 Citations: 16
A modified camel algorithm for optimizing green vehicle routing problem with time windows DM Utama, WON Safitri, AK Garside Jurnal Teknik Industri 24 (1), 23-36 , 2022 2022 Citations: 15
Model program dinamis untuk lot size multi item dengan kendala kapasitas gudang DM Utama, AK Garside, H Pamungkas J@ ti Undip: Jurnal Teknik Industri 14 (1), 21-26 , 2019 2019 Citations: 13
Intuitionistic fuzzy AHP and WASPAS to assess service quality in online transportation AK Garside, RPA Tyas, RW Wardana Jurnal Optimasi Sistem Industri 22 (1), 38-51 , 2023 2023 Citations: 12
