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Contact Name
Prihono
Contact Email
jurnaltibuana@unipasby.ac.id
Phone
+628563013014
Journal Mail Official
jurnaltibuana@unipasby.ac.id
Editorial Address
Jl. Dukuh Menanggal XII No.4 Kota Surabaya, Provinsi Jawa Timur, Indonesia.
Location
Kota surabaya,
Jawa timur
INDONESIA
Tibuana : Journal of Applied Industrial Engineering
ISSN : 26222027     EISSN : 26222035     DOI : https://doi.org/10.36456/tibuana.9.02
Core Subject :
The aim of this journal publication is to disseminate the conceptual thoughts or ideas and research results that have been achieved in the area of industrial engineering Tibuana : Journal of Applied Industrial Engineering particularly focuses on the main problems in the development of the sciences of industrial engineering areas as follows: 1. Applied of industrial process 2. Applied methods of production process 3. Applied managerial of production process
Arjuna Subject : -
Articles 250 Documents
Designing Improvement of Service effectiveness Using M/M/1 and M/M/S Queue Models (Case Study: Customer Arrivals at Jatim Park Tourist Destination During Holidays and Peak Hours) Fauzy, Taufik Rachmad; Ristanti, Dwi Mei Riya; Sumariyono, Eko
Tibuana Vol 7 No 2 (2024): Tibuana
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/tibuana.7.2.9360.107-111

Abstract

Queueing is a collection of people lined up with the purpose of waiting to be served, after which they leave the queue. Queuing activities often arise due to ineffective or suboptimal service times, resulting in longer wait times. To maximize and schedule service time optimally, queueing models such as M/M/1 and M/M/S systems are utilized. This study applies these models to analyze the queuing system at Jatim Park tourist destination. The aim of this research is to determine the effectiveness of service at the ticketing counters of Jatim Park during holidays. To initiate the study, data was collected on visitor arrival times and average service times. The data analysis aims to optimize service effectiveness at the Kampung Coklat tourist area by implementing the FCFS (First Come, First Served) queueing method and the M/M/S system. The findings suggest that the optimal number of teller servers needed to serve visitors effectively is 2. The analysis also identifies that the longest queue occurs between 10:00 AM and 11:00 AM, with 3 visitors waiting at its peak. The average number of visitors in the queue during this period is approximately 1.3 or 1 visitor. Based on these results, the study concludes that the service effectiveness at the Kampung Coklat tourist area is sufficiently optimized.
Application of Statistical Tests in Measuring the Influence of Product Quality and Brand Image Henaulu, Agung K; Eki Wulansari, Vovia; Dahlia Kaisupy, Tina; Abdulmudy, Reza; Salampessy, Haris; Mony, Farida; Latukau, Azizah
Tibuana Vol 8 No 1 (2025): Tibuana
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/tibuana.8.1.9400.40-46

Abstract

The purpose of this study is to investigate how brand image and product quality have an impact on the interest in buying precious metals at the Sleman Branch Pawnshop. The study found that product quality, which includes purity, authenticity, and attractive design, significantly affects consumer buying interest. The quantitative methods used include survey methods and multiple regression analysis. In addition, Pegadaian's reputation as a safe and reliable financial institution greatly influences customers' desire to buy precious metals. The results of the regression analysis show that product quality has a regression coefficient of 0.543 with a p-value < 0.001, while brand images have a regression coefficient of 0.479 with a p-value < 0.001. The synergy between brand image and product quality shows an increase in customer buying interest. These two factors influence each other's purchase decisions. The implications of this study show that, in order to maintain and increase consumer buying interest, Pegadaian must continue to maintain and improve the quality of its products and brand image. This research provides valuable insights for pawnshops on how to optimize marketing strategies and product quality management
Clustering Capital and Business through the Implementation of Corporate Strategy in the Amanah Belimbing Wuluh SME Group Utomo, Yitno; Yunia Dwie Nurcahyanie; M. Nushron Ali Mukhtar; Manik Ayu Titisari; Jihan, Jelita Citrawati
Tibuana Vol 8 No 1 (2025): Tibuana
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/tibuana.8.1.9932.22-31

Abstract

Abstract-Small and Medium Enterprises (SMEs) became a trend when the Indonesian economy experienced a downturn. SMEs of Amanah Belimbing Wuluh is a micro sector that is only able to produce products and is able to sell its production to cover the needs of the economic cycle. The aim of this research is to measure the feasibility of capital using the Net Present Value (NPV) concept. Measuring capital feasibility with the Average Rate of Return (ARR) concept. Looking for clustering of company strategies in business development through capital budgeting. The research sample was 30 SMEs. Data analysis using K-Means Cluster. The research results based on the feasibility of SME capital using the Net Present Value (NPV) concept produce a positive value (NPV) of IDR. 344,869,146 so it can be said to be feasible. The feasibility of SME capital with the Average Rate of Return (ARR) concept is 44.12% annually above a discount factor of 16% so it can be said to be feasible for the turnover of SMEs business capital Amanah Belimbing Wuluh Dukuh Menanggal. Cluster analysis divides two groups of company strategies. Cluster 1 contains investment strategies that have the attributes; final investment, total investment and average investment. Cluster 2 contains a capital turnover strategy that has the Average Rate of Return attribute.
The Application of Time Series Forecasting Method to Estimate National Salt Demands Rosyadi NR, Imron; Prasetyowati, Erwin; Susanti, Rina
Tibuana Vol 8 No 1 (2025): Tibuana
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/tibuana.8.1.9942.1-8

Abstract

Salt is one of the most important commodities for domestic use and as a raw material for industry. It is essential to make an estimate salt requirement to meet them appropriately. The purpose of the study was to estimate salt needs using the time series forecasting method and to identify the most effective technique for salt needs forecasting. Forecasting analysis uses Naive, Moving Average, Weighted Moving Average, Exponential Smoothing, Exponential Smoothing with Trend, and Trend Projection methods. Forecasting accuracy is tested using MAD, MSE, and MAPE. Based on the results, the Trend Projection is the most effective time series forecasting technique for predicting salt requirements. This method was selected due to its lowest error rate value (MAD of 0.16, MSE of 0.04, and MAPE of 4.28%) compared to other methods. According to projected estimates, the amount of salt required in 2024 would be 4.86 million tons.
Customer Loyalty Analysis on Valuation of Price, Location, Facilities, and Service Standards with the Structural Equation Modeling Method - Partial Least Squares (SEM-PLS) Poniman; Thoriq , Fitrah; Mandati, Sri Amalia; Batutah, Moh Arif; Utomo, Yitno
Tibuana Vol 8 No 1 (2025): Tibuana
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/tibuana.8.1.9970.32-39

Abstract

Abstract - The world of business and industry, including the culinary industry, is rapidly developing in this modern era. Business owners have to compete in an increasingly tight situation. Compared to previous studies, this study is newer because it uses more variables. This quantitative study used 60 samples. SmartPLS software version 3.0 is used to perform the analysis with SEM. Outer model, inner model, mediation, and hypothesis tests are carried out. The results of the validity test show that the data is valid. The filling factor value is more than 0.7 and the AVE value is more than 0.5. In contrast, reliability tests show the reliability values of composites and Cronbach's alpha, which are also greater than 0.7 and are considered reliable. From the histothesis analysis carried out, it can be concluded that; The consumer choice variable has a significant positive impact on customer loyalty, the facility and infrastructure variable has a significant positive impact on consumer choice, the facility and infrastructure variable has a significant positive impact on customer loyalty, the business location variable has a significant positive impact on consumer choice, the business location variable has a negative impact on customer loyalty, the price assessment variable has an impact negative on consumer choice, the price assessment variable has a significant positive impact on customer loyalty, the service standard variable has a significant negative impact on customer choice and customer loyalty. These results show the importance of paying attention to these variables in business strategy.
Forecasting the Gold Price of LM Antam using the Double Exponential Smoothing Approach Mandati, Sri Amalia; Poniman; Novianti, Triuli
Tibuana Vol 8 No 1 (2025): Tibuana
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/tibuana.8.1.9971.54-59

Abstract

Abstract— Antam Precious Metal (LM) gold investment is one of the investment choices favored by the public from the many investment choices available. One of the things that must be done if you want to invest in gold is to monitor the price movement of Antam Gold. This study uses the Double Method approach Exponential Smoothing with software Minitab 20. Double Method Exponential Smoothing is one of the forecasting methods used for trending data patterns . The gold price data to be forecasted is Antam Precious Metal (LM) gold produced by PT Antam Tbk. The purpose of this study is to obtain a forecast of Antam LM gold prices for the next twelve months from September 2024 to August 2025. The results of the study for the next twelve months the highest price forecast from September 2024 to August 2025 is in August 2025. The price of Antam gold in August 2025 is IDR 1,806,990 and the forecast error value (MAPE) is 2.31% or has a forecast accuracy of 97.69%.
Implementation of Workplace Safety in the Welding Industry: Challenges and Solutions Jumali, Muhamad Abdul; Rusdiyantoro; Yitno Utomo; Moch. Fatur Aangga Pratama; Harno Suntoko
Tibuana Vol 8 No 1 (2025): Tibuana
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/tibuana.8.1.9978.9-14

Abstract

Keselamatan dan kesehatan kerja (K3) sangat penting bagi perusahaan untuk meminimalkan kecelakaan kerja dan risiko kesehatan. Namun, banyak karyawan di sektor pengelasan sering mengabaikan aspek-aspek ini, yang mengarah pada potensi bahaya. Penelitian ini mengkaji penerapan praktik K3 di departemen pengelasan perusahaan manufaktur besi di Surabaya dengan menggunakan metode Job Safety Analysis (JSA). Data dikumpulkan dari 35 responden melalui wawancara, observasi, dan dokumentasi insiden masa lalu. Hasilnya menyoroti bahaya umum, termasuk paparan ultraviolet yang merusak mata dan kulit, asap las yang menyebabkan masalah pernapasan, sengatan listrik yang menyebabkan cedera atau kematian, dan benturan fisik dari material tajam atau berat. Untuk mengurangi risiko ini, kepatuhan terhadap prosedur operasi standar (SOP) dan penggunaan alat pelindung diri (APD) yang lengkap sangat penting. Penelitian ini menekankan pentingnya kesadaran K3 dan kepatuhan terhadap protokol keselamatan untuk meningkatkan keselamatan dan produktivitas tempat kerja.
Implementation of Critical Chain Project Management Method on Controlling the Pipeline Project Sandora, Rina; Tridya, Dini Rosyadah
Tibuana Vol 8 No 1 (2025): Tibuana
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/tibuana.8.1.9988.15-21

Abstract

In the implementation of construction projects, the incompatibility between plan and actual schedule that cause an additional time and cost is oftenly occurring. The Pipeline Project started in July 2022 and scheduled for completion in November 2022. However, in actuality the project finished in July 2023. Based on this case, an acceleration method needs to be implemented so that the project can be completed quickly and efficiently. One of the methods applied is Critical Chain Project Management (CCPM). Scheduling is carried out using the actual duration of the project that applied with CCPM. The actual duration of the project is 318 days. Furthermore, by using the CCPM, the duration is become 216 days. So, by using the CCPM, the project is completed 32.08% faster than the actual duration of the project. Based on the results of the analysis, by applying the CCPM method is able to make an optimal duration of the project.
Digital Pivot Strategies for MSMEs: A Case Study of BirkinPet in the Era of Economic Uncertainty Zafriana, Lusi; Prihono; Nasution, Anita Hakim
Tibuana Vol 8 No 1 (2025): Tibuana
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/tibuana.8.1.9989.60-69

Abstract

Amid economic uncertainty, adopting digital pivot strategies has become crucial, particularly for Micro, Small, and Medium Enterprises (MSMEs) to sustain business growth. Social media marketing, as a vital component of the digital pivot, offers a platform for entrepreneurs to reach audiences more efficiently and effectively. This study aims to explore the correlation between social media metrics and the monthly revenue of MSMEs, focusing on BirkinPet, a pet harness apparel business. A multiple linear regression analysis method was employed to evaluate the relationship between the number of posts, likes, followers, shares, and engagement rate with monthly revenue. The analysis results indicate that the number of posts has a significant negative relationship with monthly revenue (β = -1.1224; p = 0.051), while likes, shares, followers, and engagement rate showed no significant relationship. These findings highlight the importance of a more focused and relevant content strategy in social media marketing to support business revenue growth. In conclusion, while social media holds substantial potential as a marketing tool, success is not entirely dependent on the quantity of activity. A data-driven strategic approach is a key factor in converting social media activities into revenue growth, warranting further exploration to identify the most effective optimization strategies.
Electronic Supply Chain Management Model for Monitoring Plant System Performance at PT. XYZ Febryanto, Indra Dwi; Fahlevi, Rezza Agung
Tibuana Vol 8 No 1 (2025): Tibuana
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/tibuana.8.1.9991.70-76

Abstract

PT. XYZ is a company that does business in paper production, one of the revolutions in the field of network distribution based on Internet technology. E-SCM technology has many advantages such as optimizing data recording, and data distribution and facilitating remote monitoring of data systems using WAN Network Topology. Based on the results that have been analyzed, a supply chain management model is needed that can help monitor data systems using WAN network topology distribution that can be accessed by PC Server to the intended International WAN Access.