Algoritma Simulated Annealing untuk Optimasi Rute Kendaraan dan Pemindahan Lokasi Sepeda pada Sistem Public Bike Sharing

The public bike-sharing system has a problem where the number of bicycles at the docking station needs to be balanced to ensure system user satisfaction. The usual solution is to distribute bicycles so that system users can still park for locations that are usually full of bicycles or pick up bicycles at locations that normally lack bicycles. The purpose of solving this problem is to get a vehicle route with the total operating costs of the vehicle. The full vehicle operating costs are associated with the full time taken by the vehicle to distribute the bicycle. Besides, there are also penalty fees related to the lack of bikes or parking slots at the time of operation of the public bike-sharing facility. In this study, two variations of the simulated annealing (SA) algorithm were developed to solve the SBRP problem called SA_BF and SA_CF. The data used comes from a Velib bike-sharing system case study in Paris, France. The results of the experiment show that both the SA_BF and SA_CF algorithms succeeded in solving SBRP. This algorithm has an average difference of 2.21% and 0.36% of the Arc-Indexed algorithm (AI) from previous studies in the first dataset. As for the second dataset, Tabu Search algorithm, SA_BF and SA_CF obtained an average difference of 0.65%, 1.08% and 0.38% of the optimal results

FACTOR ANALYSIS ON PET LOVERS INTENTION TO UTILIZE TELEMEDICINE APPLICATION FOR PETS THROUGH INTEGRATION MODEL UTAUT2 AND TPB

The purpose of this study were to determine the factors that influence pet owners' intentions to use telemedicine applications for their pets. Based on the Unified Theory of Acceptance and Use of Technology (UTAUT2) and the Theory of Planned Behavior (TPB), in order to gather information, a survey of pet owners in Indonesia a random sampling method was used. Respondents filled out a total of 400  questionnaires, which were gathered. Using Smart Partial Least Squares (PLS) version 3.0, an analysis was done on the data that was collected. Positive factors included performance and effort expectations, attitude toward use, facilitating conditions, subjective norm, and intention to use. According to the findings, future development strategies should prioritize factors that positively influence pet owners' intentions to use telemedicine apps for pets

Peningkatan Pemahaman Transformasi Digital Pasca Pandemi Covid-19 pada Model Bisnis UMKM di Indonesia

Pandemi Covid-19 telah secara signifikan mempengaruhi perekonomian Indonesia secara nasional maupun sektoral, terutama pada usaha kecil dan menengah (UMKM). UMKM berkontribusi besar terhadap perekonomian negara tetapi terdampak oleh pandemi Covid-19. Adopsi teknologi dan digitalisasi dipercaya dapat mempercepat pemulihan ekonomi UMKM dan nasional. Karena hal ini, diselenggarakan kegiatan pengabdian kepada masyarakat untuk meningkatkan kemampuan dan pengetahuan pelaku UMKM tentang digitalisasi pada era pasca pandemi Covid-19. Program ini mencakup workshop dan webinar, dan melibatkan civitas akademika dan mitra UMKM. Materi yang diseminasi dalam program ini berfokus pada transformasi digital UMKM di Indonesia selama pandemi Covid-19. Hasil survei menunjukkan bahwa program ini berhasil meningkatkan pemahaman UMKM tentang digitalisasi dan dinilai baik oleh peserta. Program ini dapat dikembangkan lebih lanjut dalam bentuk pelatihan terstruktur secara offline untuk meningkatkan dampaknya pada mitra UMKM. 

Tabu search heuristic for inventory routing problem with stochastic demand and time windows

This study proposes the hybridization of tabu search (TS) and variable neighbourhood descent (VND) for solving the Inventory Routing Problems with Stochastic Demand and Time Windows (IRPSDTW). Vendor Managed Inventory (VMI) is among the most used approaches for managing supply chains comprising multiple stakeholders, and implementing VMI require addressing the Inventory Routing Problem (IRP). Considering practical constraints related to demand uncertainty and time constraint, the proposed model combines multi-item replenishment schedules with unknown demand to arrange delivery paths, where the actual demand amount is only known upon arrival at a customer location with a time limit. The proposed method starts from the initial solution that considers the time windows and uses the TS method to solve the problem. As an extension, the VND is conducted to jump the solution from its local optimal. The results show that the proposed method can solve the IRPSDTW, especially for uniformly distributed customer locations

Pemilihan Teknologi Baru Menuju Industri 4.0 Pada Perusahaan Manufaktur Menggunakan Analytical Hierarchy Process (AHP): New Technology Selection Towards Industry 4.0 Of A Manufacturing Company Using Analytical Hierarchy Process (AHP)

Adopsi teknologi baru sebagai bagian dari Industri 4.0 memberikan peluang bagi bisnis terlepas dari sekala dan ukurannya. UKM menghadapi tantangan dalam mengadopsi I4.0 meskipun tidak mengurangi manfaat yang akan dapat oleh perusahaan-perusahaan ini, yaitu lambatnya proses pengambilan keputusan untuk memperkenalkan teknologi canggih ke bisnis. Untuk membantu bisnis dalam menghasilkan keputusan tentang teknologi mana yang harus diinvestasikan, AHP akan digunakan dalam penelitian ini. Kriteria yang berbeda berdasarkan data yang dikumpulkan dari UKM akan dipertimbangkan dan 3 teknologi akan disajikan kepada pembuat keputusan utama perusahaan. Melalui perangkat lunak Super Decisions, setiap kriteria ditugaskan dengan bobot yang berbeda dengan cara melakukan wawancara dengan pembuat keputusan.  Melalui hal ini, kesimpulan dari penelitian ini adalah keputusan yang tidak memihak dan objektif yang dapat membantu perusahaan dalam adopsi Industri 4.0

Two-Phase Optimization Method for Determining Distribution Center Locations and Distribution Routes (Case Study: X Ltd.)

One of the main keys to establishing a company’s facilities is to determine the best location with consideration of proximity to customers. After determining the location using the P-Center method, the company aims to maximize its profit by minimizing the distribution costs. It can be minimized by finding the shortest route. The best route determination method used in this study is the Capacitated Vehicle Routing Problem. The initial solution was obtained from data processing with the Nearest Neighborhood algorithm. The routes obtained from this method are optimal local results so that they can still be optimized to obtain the optimal global results. The results will be reprocessed with improvement heuristics method, namely Simple Local Search to get the most optimal results. From this data processing, it will produce an output in the form of the location of the best facility and route construction by producing the minimum total of distribution cost.

Cuckoo search algorithm for construction site layout planning

A novel metaheuristic optimization algorithm based on cuckoo search algorithm (CSA) is presented to solve the construction site layout planning problem (CSLP). CSLP is a complex optimization problem with various applications, such as plant layout, construction site layout, and computer chip layout. Many researchers have investigated the CSLP by applying many algorithms in an exact or heuristic approach. Although both methods yield a promising result, technically, nature-inspired algorithms demonstrate high achievement in successful percentage. In the last two decades, researchers have been developing a new nature-inspired algorithm for solving different types of optimization problems. The CSA has gained popularity in resolving large and complex issues with promising results compared with other nature-inspired algorithms. However, for solving CSLP, the algorithm based on CSA is still minor. Thus, this study proposed CSA with additional modification in the algorithm mechanism, where the algorithm shows a promising result and can solve CSLP cases.publishedVersionPeer reviewe

Location-Routing Problem Analysis (Case Study: Natural Disaster Risk Mitigation in Pangandaran District)

Geographically, Indonesia is surrounded by three continental plates which cause the emergence of earthquake pathways, a series of active mountains throughout Indonesia, and the inevitable tsunami. Considering the large potential and risks arising from such natural disasters, disaster mitigation is important to minimize the risk, one of which is through humanitarian logistics. Pangandaran Regency is the focus of this study given that in 2018, Pangandaran is the 16th most disaster-prone area out of 514 districts/cities in Indonesia and the 5th out of 27 districts/cities in West Java. It would be a high risk if mitigation, preparation, and logistics response in Pengandaran is not well planned. The focus of this research is to determine the strategic location of disaster emergency response warehouse placement with the Set Covering Problem algorithm and determine the optimal route to the location of refuge using the Nearest Neighborhood Heuristics, Local Search, and Simulated Annealing algorithms.

Enhancing Post-Disaster Mapping Assessment: Agent-Based Simulation Modeling Integrating Ground Vehicles and Drones (Case Study: Mount Merapi's Volcanic Eruption)

This research presents an agent-based simulation model for post-disaster location mapping, considering land vehicles and drones along with access road availability and depot locations. The study examines the impact of bridge facility damage on depot selection and time indicators. Results reveal that damage to bridge facilities affects depots differently based on their location, leading to increased total processing and completion times due to interactions between land vehicles and bridges. Depot 7 emerges as the optimal location for undamaged and KRB II and III damage scenarios based on total processing time. Depot 3 performs best for KRB III damage, while Depot 8 exhibits the shortest completion time across all scenarios. These findings emphasize the importance of selecting depots with resilient road access and alternative routes, improving post-disaster logistics efficiency

Mix method analysis for analyzing user behavior on logistic company mobile pocket software

The present study emphasizes mixed-method analysis, integrating the partial least square structural equation model (PLS-SEM) and customer journey for mobile pocket office improvement in logistic XYZ company. The extension of the unified theory of acceptance and use of technology (UTAUT 2) model by incorporating perceived risk (PR), personal innovativeness (PI), and trust (TR) variables are used. The sample for this study consisted of 243 res­pondents. Based on the results of the PLS-SEM analysis, two of the eleven tested hypotheses were determined to be rejected. In application usage, the proposed model effectively explained 85.7 per cent of the influence on beha­vioral intention (BI) and 72.1 per cent on use behavior (UB). The customer journey mapping (CJM) investigation's findings show that fluctuations in the use of mobile pocket office technology in the field are generally brought on by a lot of data entry, sluggish internet connections, and overworked field operations. The XYZ company may acquire sugges­tions and knowledge for developing further applications due to this inquiry.Saat ini, perkembangan teknologi komunikasi dan inovasi sangat penting bagi perekonomian. Selain itu, hal ini menyebabkan persaingan yang semakin ketat antara perusahaan. Aplikasi mobile pocket office berbasis mobile disediakan oleh perusahaan logistik PT. XYZ dalam upaya meningkatkan kualitas pelayanan khususnya di divisi operasional. Namun karena fluktuasi penggunaan, program mobile pocket office ini tidak dapat bekerja pada level puncaknya. Untuk menguji perilaku pengguna, penelitian ini menggunakan analisis metode campuran, mengintegrasikan PLS-SEM dan Perjalanan Pelanggan. Evaluasi PLS-SEM Penelitian ini menilai variabel yang mempengaruhi penerimaan pengguna terhadap penggunaan aplikasi mobile pocket office dengan membangun model UTAUT 2 yang ditingkatkan dengan menggabungkan variabel persepsi risiko (PR), inovasi pribadi (SINN), dan kepercayaan (TR). Sampel untuk penelitian ini terdiri dari 243 responden. Berdasarkan hasil analisis PLS-SEM, dua dari sebelas hipotesis yang diuji dinyatakan tidak benar. Efek terbesar pada niat perilaku dan perilaku penggunaan masing-masing disebabkan oleh variabel motivasi hedonis (HM) dan variabel kebiasaan (HB) (BI). Dalam konteks penggunaan aplikasi, model yang diusulkan menjelaskan secara efektif pengaruh sebesar 85,7 persen terhadap behavioral intention (BI) dan 72,1 persen terhadap use behavior (UB). Variabel persepsi risiko (PR) dan ekspektasi upaya (EE) diabaikan. Pengguna merasakan banyak usaha, dan tingginya risiko penyalahgunaan membuat mereka kurang tertarik menggunakan program, menurut hasil. Temuan investigasi Customer Journey Mapping (CJM) menunjukkan bahwa fluktuasi penggunaan teknologi mobile pocket office di lapangan umumnya disebabkan oleh banyak entri data, koneksi internet yang lamban, dan operasi lapangan yang terlalu banyak bekerja. PT. Perusahaan XYZ dapat memperoleh saran dan pengetahuan untuk mengembangkan aplikasi lebih lanjut sebagai hasil dari penyelidikan ini.   &nbsp