Article Per Year (5 Year)
p-Index From 2021 - 2026
2.42
P-Index
This Author published in this journals
All Journal Jurnal Rekayasa Sistem Industri Jurnal Optimasi Sistem Industri Jurnal Ilmiah Teknik Industri INVOTEK: Jurnal Inovasi Vokasional dan Teknologi Jurnal Hilirisasi IPTEKS (JHI) Jurnal Sistem Teknik Industri Jurnal Optimalisasi MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Jurnal Surya Teknika Jurnal Optimasi Teknik Industri (JOTI) Warta Pengabdian Andalas: Jurnal Ilmiah Pengembangan Dan Penerapan Ipteks Andalasian International Journal of Applied Science, Engineering, and Technology Journal of Creative Power and Ambition (JCPA)
Eri Wirdianto
Universitas Andalas
Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Transportation Veterinary Other

Published : 19 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 19 Documents
Search

 1   2 
Usulan Rute Pendistribusian Gas LPG Menggunakan Algoritma Dijkstra dan Algoritma Genetika Pada  Model CGVRP Oktaviani, Putri; Dalnis, Intan Permata; Wirdianto, Eri
Jurnal Rekayasa Sistem Industri Vol. 14 No. 1 (2025): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26593/jrsi.v14i1.8491.131-145

Abstract

Determining the route of distribution of goods for companies is an important aspect to consider. The distribution of 3 kg LPG gas at one of the companies in Bandung City does not yet have an optimal route. However, in previous research, a shorter route has been obtained with the Sweep algorithm, which is 118.85 km. The research continued using the Cluster Generalized Vehicle Routing Problem (CGVRP) model with the Dijkstra and Genetics algorithms. CGVRP is the determination of the shortest route using customer clusters. Dijkstra's algorithm is the determination of the route between 2 points from the starting point to the destination point. The result of the distance calculation with the Djkstraa algoritma is 114.779 km. Genetic Algorithm is the determination of the shortest route by reducing the attributes that are less dominant. The result of the distance calculating with Genetic Algorithm is 112 km. This shows a reduction in the total distribution mileage of 6.85 km compared to the completion of the Sweep algorithm in previous studies. The amount of this reduction is large enough to save the company's costs by 5.76%.
Penerapan Siklus Plan-Do-Check-Act (PDCA) untuk Mengurangi Pemborosan dalam Industri Jasa Rahmayanti, Dina; Wirdianto, Eri; Afrileni, Wirna
Jurnal Optimalisasi Vol 11, No 2 (2025): Oktober
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v11i2.12337

Abstract

This research aims to increase the efficiency of aging time in the car refurbished process in T XYZ by applying the PDCA (Plan-Do-Check-Action) method. The company's main problem is the high number of idle cars due to aging times that exceed standards, especially in repair, service, and preparation activities. The research methods used include identifying the root of the problem using a fishbone diagram, designing solutions using the 5W+1H approach, improving implementation, and evaluating results. Implementation results show a decrease in the average aging time: in repair from 5,333 to 3,833 days, in service from 6 to 3,333 days, and preparation from 1,333 to 0.967 days. The number of idle cars also decreased gradually to reach 86 units with an actual aging time of one day. These findings prove that implementing PDCA effectively increases the efficiency of the refurbished process, reduces time waste, and supports increased company operational performance. This research contributes to developing continuous improvement practices in the automotive industry. It can be a reference for other service companies that are optimizing productivity through a quality management approach.
Solving Heterogenous Fleet Capacitated Vehicle Routing Problem with Time Windows Using Cooperative Hybrid Firefly Algorithm Ananda, Defri; Wirdianto, Eri; Alfandi, Rahmad
Andalasian International Journal of Applied Science, Engineering and Technology Vol. 5 No. 3 (2025): November 2025
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aijaset.v5i3.154

Abstract

The Vehicle Routing Problem with Time Windows (VRPTW) is a widely studied logistics optimization problem, and its complexity increases when heterogeneous fleets are considered. This study proposes the application of the Cooperative Hybrid Firefly Algorithm (CHFA), an extension of the Firefly Algorithm, to solve the Heterogeneous Vehicle Routing Problem with Soft Time Windows (HVRPSTW). The mathematical model was implemented in Python, tested on benchmark datasets, and adapted to a fleet consisting of three vehicle types with different capacities to serve 100 customers. The proposed CHFA achieved feasible routing solutions with a total transportation cost of IDR 17.58 million and a computation time of only 30 seconds. These results demonstrate that CHFA can provide fast and efficient solutions for complex routing problems, making it highly applicable in logistics operations that demand quick decision-making and cost efficiency.
Aplikasi Algoritma Hybrid dalam Penentuan Rute Pendistribusian Produk (Studi Kasus: PT. Enseval Putera Megatrading) Eri Wirdianto; Dhina Regenie; Wisnel
Jurnal Optimasi Sistem Industri Vol. 15 No. 2 (2016): Published in November 2016
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v15.n2.p171-180.2016

Abstract

PT. Enseval Putera Megatrading is a company which operates in general business and distribution of pharmacy products, general needs, cosmetics, foods and hospital equipment. In their current practice, routing in products deliveries, which is limited by time windows, has not considered the utilization of vehicles' maximum loading capacities. Distribution route from a hybrid algorithm using heuristic clustering and Mixed-Integer Linear Programming approach can accommodate such problem with time windows and vehicles' capacities utilization. Based on the comparison between company’s current route and the route from the hybrid algorithm, it can be seen that the hybrid algorithm is able to decrease total distance and total cost of transportation. This new route concerns on vehicles allocation and time windows limit. This new route can minimize the total cost of transportation that company has to pay.
Pengenalan Lean Manufacturing untuk Meningkatkan Daya Saing UKM Rendang Gadih di Payakumbuh Fahlevi, Fidruzal; Amrina, Elita; Hasan, Alizar; Putri, Nilda Tri; Zadry, Hilma Raimona; Indrapriyatna, Ahmad Syafruddin; Taufik; Wirdianto, Eri; Kamil, Insannul; Fithri, Prima; Wisnel; Rahmayanti, Dina; Jumeno, Desto; Patrisina, Reinny; Adi, Alexie Herryandie Bronto; Huda, Ashila Nurul; Liperda, Rahmad Inca; Fandeli, Hary; Maulana, Ghufran; Febriano, Raihan
Warta Pengabdian Andalas Vol 33 No 1 (2026)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM) Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jwa.33.1.19-27.2026

Abstract

Small and Medium Enterprises (SMEs) are the backbone of Indonesia's economy, contributing over 60% to the national GDP and employing more than 97% of the workforce. In Payakumbuh, culinary SMEs have significant potential due to the abundance of local raw materials and high demand for traditional foods such as rendang. Rendang Gadih is one such SME focusing on rendang production for both local and regional markets. However, inefficiencies in production, inconsistent quality, and manual management processes limit its competitiveness. This community service activity introduced the concept of Lean Manufacturing to improve efficiency and reduce waste. The main tools socialized were Value Stream Mapping (VSM), Process Activity Mapping (PAM), and identification of the eight types of waste, along with the application of Kaizen principles for continuous improvement. Implementation was carried out through preparation, socialization, and evaluation stages. The results of this activity are expected to help Randang Gadih enhance production efficiency, minimize waste, and strengthen competitiveness, serving as a model for other culinary SMEs in West Sumatra.
Pengendalian Kualitas Proses Pembuatan Botol 600 ml Menggunakan Metode Statistical Process Control (SPC) dan Failure Mode and Effect Analysis (FMEA) Rahmayanti, Dina; Wirdianto, Eri; Meuthia, Yumi; Kurnia Sandi, Devid
SURYA TEKNIKA Vol 13 No 1 (2026): JURNAL SURYA TEKNIKA
Publisher : Fakultas Teknik UMRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jst.v13i1.11283

Abstract

Product quality is the main factor determining the competitiveness of bottled drinking water (AMDK) companies. PT Amanah Insanillahia, as one of the AMDK producers, still faces problems related to the high number of defective products, especially in the 600 ml bottle manufacturing process, with an average defect percentage of 1.40%, exceeding the company’s target of 1.00%. This study aims to identify the dominant types of defects and propose quality control improvement measures for the 600 ml bottle manufacturing process. The research data consist of primary and secondary data collected through observation, interviews, and production documentation. The methods used in this study are Statistical Process Control (SPC) supported by process mapping, Critical to Quality (CTQ), check sheets, Pareto diagrams, and fishbone diagrams, as well as the Failure Mode and Effect Analysis (FMEA) approach. The results show that the Body/Bottom wavy defect is the most dominant type of defect based on Pareto analysis. According to the FMEA analysis, the main causes of defects originate from machine factors, work methods, and human factors. The proposed priority improvements include the preparation of Standard Operating Procedures (SOPs), clear work instructions, and operator training to reduce defect rates and improve product quality.
Design of Gas Oven Temperature Control System Using PID Method Wisnel; Eri Wirdianto; Prima Fithri
Journal of Creative Power and Ambition (JCPA) Vol. 4 No. 01 (2026): Journal of Creative Power and Ambition (JCPA)
Publisher : CV Edujavare Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70610/jcpa.v4i01.1135

Abstract

This paper presents the design and implementation of an automatic oven for baking marble sponge cake using a PID-based temperature control system. The proposed system regulates oven temperature and air circulation to achieve stable and uniform baking conditions. Temperature control is implemented using a PID algorithm based on feedback from a K-type thermocouple sensor, while air circulation is controlled by a DC blower motor driven through PWM and a BTS7960 driver. The overall system is controlled by an Arduino Uno R3 microcontroller. PID parameters were determined using the Ziegler–Nichols reaction curve method, resulting in ???????? = 16.4, ???????? = 90 s, and ???????? = 22.5 s. Experimental results show that the oven was able to reach and maintain a setpoint temperature of 175 ∘C with acceptable stability during a 28-min baking process. Therefore, the developed system can be considered effective for automatic marble sponge cake baking requiring stable and controlled thermal conditions.
Desain dan Implementasi Mesin Penggiling Singkong untuk Peningkatan Produktivitas UMKM Kerupuk Bu Ita di Kabupaten Lima Puluh Kota: Design and Implementation of a Cassava Grinding Machine to Improve the Productivity of UMKM Kerupuk Bu Ita in Lima Puluh Kota Regency, West Sumatra Taufik Taufik; Elita Amrina; Alizar Hasan; Nilda Tri Putri; Hilma Raimona Zadry; Ahmad Syafruddin Indrapriyatna; Eri Wirdianto; Insannul Kamil; Prima Fithri; Wisnel Wisnel; Dina Rahmayanti; Desto Jumeno; Reinny Patrisina; Alexie Herryandie Bronto Adi; Ashila Nurul Huda; Rahmad Inca Liperda; Firdruzal Fahlevi; Hary Fandel; Ghufran Maulana
Jurnal Hilirisasi IPTEKS Vol. 9 No. 1 (2026)
Publisher : LPPM Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jhi.v9i1.923

Abstract

Small and medium food enterprises in Indonesia continue to face challenges in adopting appropriate processing technologies, particularly in cassava-based production, which limits efficiency, productivity, and product quality consistency. This study aims to design and implement a food-grade cassava grinding machine as a technological intervention to increase production capacity at the Kerupuk Bu Ita enterprise in Padang. The research applied a Research and Development (R&D) approach using the Define–Design–Develop–Evaluate–Disseminate model with participatory involvement of the target users. The machine was tested through performance measurement, time efficiency analysis, and ergonomic assessment. The results indicate a substantial improvement compared to the manual process, where grinding capacity increased from 10–13 kg/hour to 70–80 kg/hour, representing a productivity enhancement of 450–580%, while processing duration was reduced from approximately 3 hours to about 1 hour, resulting in a 66% reduction in processing time. In addition, user evaluation shows that the machine is easier to operate and ergonomically more suitable for continuous use. These findings demonstrate that the developed cassava grinding machine significantly improves production performance and offers a practical solution for strengthening the competitiveness of SMEs. The study contributes scientifically by providing a validated prototype of appropriate technology tailored to the operational and ergonomic needs of small-scale food production units.
Determination of Optimal Route for Distribution of Rice Food Assistance in City X using the Cuckoo Search Algorithm Eri Wirdianto; Muhamad Gustaffo Bintang; Farhan Azhari
MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Vol 8 No 1 (2026): Motivection : Journal of Mechanical, Electrical and Industrial Engineering
Publisher : Indonesian Mechanical Electrical and Industrial Research Society (IMEIRS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46574/motivection.v8i1.528

Abstract

As distribution requirements become more complex, various VRP variants have been developed to address specific challenges. Among them, the Vehicle Routing Problem with Time Windows (VRPTW) adds the constraint that each customer must be served within a predefined time frame, making the routing process considerably more difficult. In this study, we propose a new approach that uses the Cuckoo Search (CS), a metaheuristic algorithm based on Lévy flights. This combination of Lévy flights and CS is designed to maximize exploration of optimal solutions while allowing dynamic route variations. This study aims to evaluate the effectiveness of this approach in optimizing rice food assistance distribution routes in City X. The exact method yielded a global optimum solution consisting of four routes with a minimum total distance of 222 km, requiring 2 hours 36 minutes 27 seconds of computation. In comparison, the cuckoo search algorithm also produced four routes, with a slightly longer total distance of 244 km but a significantly shorter computation time of 1 minute 39 seconds. This represents a difference of about 22 km (9.91%) from the exact solution, demonstrating that for VRPTW, the cuckoo search algorithm can generate near-optimal results with minimal deviation and substantially reduced computational effort.
Co-Authors Afri Adnan Afrileni, Wirna Afrinaldi, Feri Ahmad Syafruddin Alexie Herryandie Bronto Adi Alexie Herryandie Bronto Adi Alfadhlani Alfandi, Rahmad Alizar Hasan Alizar Hasan Amrina, Elita Ananda, Defri Arri Fatimah Zahra Asmuliardi Muluk Dalnis, Intan Permata Desto Jumeno Desto Jumeno Dhina Regenie Dhina Regenie Dicky Fatrias Difana Meilani Dina Rahmayanti Dina Rahmayanti Elita Amrina Fahlevi, Fidruzal Farhan Azhari Febrian, Muhammad Naufal Febriano, Raihan Felia Devina Amadea Firdruzal Fahlevi Ghufran Maulana Hafizh Ahmad Hary Fandel Hary Fandeli Henmaidi Henmaidi Hilma Raimona Zadry Huda, Ashila Nurul Ikhwan Arief Indrapriyatna, Ahmad Syafruddin Insannul Kamil, Insannul Irfan Nugraha Putra Mukhti Jonrinaldi Jumeno, Desto Kamil, Insannul Keynobi, Fikri Kurnia Sandi, Devid Liperda, Rahmad Inca Lusi Susanti Maulana, Ghufran Meiyola Syaflinda Milana Milana Muhamad Gustaffo Bintang Nilda Tri Putri Patrisina, Reinny Prima Fithri Putri Oktaviani Rahmad Inca Liperda reinny patrisina Rika Ampuh Hadiguna Sakilah, Tiva Tara Cantika Taufik Taufik Taufik Wisnel Wisnel Wisnel Yumi Meuthia Zidanne, Muhammad