Jurnal Logistik Indonesia is one of the scientific publications published by Study Program of Logistics Management, Faculty of Social Science and Management Institut Ilmu Sosial dan Manajemen STIAMI. The purpose of the Journal is to support development logistic management theory and practice in Indonesia through the dissemination of research findings in the field. The journal covers fields such as Knowledge and People Management, Operations and Performance Management, Business Risk, Entrepreneurship, Strategic Business, Supply Chain Management and Decision Making and Strategic Negotiation. This journal is published two times a year, with issues released in March and September. (media cetak) P ISSN 2579-8952 (media online) E ISSN 2621-6442 Email : logistikindonesiajournal@gmail.com / logistikindonesiajournal@stiami.ac.id
Institut Ilmu Sosial dan Manajemen Stiami
Please find the rights and licenses in Jurnal Logistik Indonesia. By submitting the article/manuscript of the article, the author(s) agree with this policy. No specific document sign-off is required. 1. License The non-commercial use of the article will be governed by the Creative Commons Attribution license as currently displayed on Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License 2. Author(s)' Warranties The author warrants that the article is original, written by stated author(s), has not been published before, contains no unlawful statements, does not infringe the rights of others, is subject to copyright that is vested exclusively in the author and free of any third party rights, and that any necessary written permissions to quote from other sources have been obtained by the author(s). 3. User Rights Jurnal Logistik Indonesia spirit is to disseminate articles published are as free as possible. Under the Creative Commons license, Jurnal Logistik Indonesia permits users to copy, distribute, display, and perform the work for non-commercial purposes only. Users will also need to attribute authors and Jurnal Logistik Indonesia on distributing works in the journal and other media of publications. 4. Co-Authorship If the article was jointly prepared by more than one author, any authors submitting the manuscript warrants that he/she has been authorized by all co-authors to be agreed on this copyright and license notice (agreement) on their behalf, and agrees to inform his/her co-authors of the terms of this policy. Jurnal Logistik Indonesia will not be held liable for anything that may arise due to the author(s) internal dispute. Jurnal Logistik Indonesia will only communicate with the corresponding author. 5. Miscellaneous Jurnal Logistik Indonesia will publish the article (or have it published) in the journal if the article’s editorial process is successfully completed. Jurnal Logistik Indonesia editors may modify the article to a style of punctuation, spelling, capitalization, referencing and usage that deems appropriate. The author acknowledges that the article may be published so that it will be publicly accessible and such access will be free of charge for the readers as mentioned in point 3. Every accepted manuscript should be accompanied by "Copyright Transfer Agreement" prior to the article publication. This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Implementation of Digitalization and Work Effectiveness on Reducing Human Error Rate in Store Send Indonesia
The condition of logistical activity that is currently ongoing in the warehouse of Cakung PT. Store Send Indonesia still needs improvement, especially in the storage process, because there are still some problems, such as goods returned from customers because of the wrong goods, goods Less, Goods More, and Inappropriate goods caused by Human Error. This research aims to analyze the implementation of digitalization and the effectiveness of work in reducing the level of human error in the operational warehouse of PT. Store Send Indonesia. The study involved 82 respondents from PT. Store Send Indonesia employees as a population and sample, using saturated sampling techniques. The research method used is a double linear regression analysis to determine the impact of digitization implementation and work efficiency on the level of human error. In addition, validity tests are also carried out to ensure that the data obtained is valid. The results show that digitalization does not significantly reduce human error; work effectiveness significantly reduces human error, and digitalization and work effectiveness simultaneously reduce human error in the PT Store Send Indonesia warehouse.
Copyright (c) 2025 Jurnal Logistik Indonesia
Identifying Project Delays in the Engineering Division of a Manufacturing Company: Using the Fishbone Diagram and Root Cause Approach
Project delays are a common challenge in project management, especially in the engineering sector of the manufacturing industry. This study aims to identify the root causes of delays in production machinery procurement projects within the Engineering Division at PT XYZ, focusing on internal processes that affect project completion. The study uses Fishbone Diagram and Root Cause Analysis (RCA), which are effective tools to systematically uncover complex causal factors. The research is descriptive qualitative in nature, based on secondary data from 27 Project Status Reports (PSRs) from February 2022 to December 2023, categorized into six factors: Human, Machine, Method, Material, Measurement, and Environment. Fishbone analysis and 5 Whys were used to determine dominant and root causes. Finding show that delays are primarily caused by Method (25.4%), Machine (22.8%), and Human (21.1%) factors. Root causes include the lack of standardized design processes, limited machine precision for new design requirements, and delays in management decision-making due to incomplete technical information and multitasking among designers. To mitigate delays in future projects, PT XYZ is advised to establish a cross-functional planning team from the early stages, develop consistent SOPs for design, approval, and validation, and implement better human resource allocation through integrated project scheduling. These steps are expected to enhance project efficiency and accelerate technical decision-making processes.
Implementation of the Saving Matrix and Nearest Neighbor Methods in Planning Courier Route for Package Distribution in the Kudus Area
The rapid growth of the courier service industry, triggered by the increasing public demand for fast delivery services, has made it necessary for the Post Office to optimize the distribution process to ensure timely package delivery. The selection of distribution routes is a factor in achieving efficiency and effectiveness of delivery. Currently, the Kudus Post Office serves 9 sub-districts with 129 villages, using 12 couriers to deliver goods. However, the distribution route pattern that has not been well planned, causes a mismatch in delivery time. Thus, this study focuses on the formation of a package distribution route pattern using the Saving Matrix and Nearest Neighbor Methods, in designing a planned courier route pattern. The purpose of this method is to find out the route with the minimum distance, so as to produce an optimal delivery route that can increase customer satisfaction through faster delivery services. The results of this study are the formation of 12 package distribution route patterns for each courier, with a total difference in distance between the savings matrix and nearest neighbor methods of 127.75 km.
The efficient management of medicine inventory is crucial for the smooth operation of pharmacies, ensuring the availability of essential medications while minimizing excess stock and wastage. This research presents the design of a Medicine Inventory System which is recommended to be implemented at Yasmin Raya Pharmacy, aimed at optimizing inventory tracking, stock replenishment, and overall operational efficiency. The proposed system integrates real-time inventory monitoring, automated stock updates, and alerts for medication expiry, addressing common challenges faced by the pharmacy in managing its stock manually. The methodology used is the use case diagram, sequence diagram and prototype model.
Halal Logistics in Focus: A Bibliometric Analysis and Strategic Review of Indonesia’s Global Competitiveness
As the country with the largest Muslim population in the world, Indonesia holds significant potential in developing halal products, particularly in the food and beverage sector. Although 2024 saw a substantial increase in the number of companies applying for halal product testing, this growth was not accompanied by a rise in halal product export volumes. Data indicates that Indonesia’s halal product exports experienced a decline of approximately 2.1% in 2024, decreasing from USD 42.32 billion to USD 41.42 billion compared to the previous year. This downward trend presents a strategic challenge in strengthening Indonesia's competitiveness in the global halal market, especially amid growing demand from both Muslim and non-Muslim countries. One critical area requiring attention is halal logistics, which continues to face various obstacles, including limited international halal certification, ambiguous guidelines, weak financial and institutional coordination, low market demand, and the absence of standardized cost-effectiveness measures. This study aims to map the research trends on halal logistics published in reputable journals focused on Islamic economics. A total of **175 Scopus-indexed scientific publications** were analyzed using the VOSviewer software to generate a bibliometric map of the field’s development. The findings show that “halal logistics is a central focus in global literature; however, Indonesia’s research contribution remains relatively limited. Therefore, strengthening local research capacity is essential to enhance Indonesia’s strategic role in the international halal logistics ecosystem.
Priority Management of Fiber Suitcase Spare Part Warehouse Using 5S Method and Analytical Hierarchy Process (AHP)
This research discusses the warehouse management of fiber luggage spare parts at PT Artlyn Kreasi Mandiri using the 5S method and Analytical Hierarchy Process (AHP). The problem that occurs is the messy arrangement of spare parts in the warehouse which results in losses due to damage to spare parts and makes it difficult for employees to do their jobs. Effective warehouse management is considered crucial in improving the efficiency and effectiveness of company operations. In this context, the 5S method is used to understand the qualitative aspects of warehouse management, while the AHP method is used for decision-making. The results on 5S indicate the need for improvement of warehouse working environment conditions to reduce spare part damage and increase operational efficiency. In addition, the application of the 5S concept in the warehouse is expected to improve the efficiency and effectiveness of spare parts warehouse management. The AHP calculation results provide weights for each criterion and alternative that support decision making. From the AHP calculation results, it can be concluded that moving to a new warehouse has a higher global weight (0.749) compared to optimizing the existing warehouse (0.251), so moving to a new warehouse is considered a more optimal warehousing strategy for the company
Optimizing Service Valve Material Inventory Control: An Analysis Using ABC Approach, Croston Forecasting, and Economic Order Quantity in a Distribution Company
This study aims to optimize the maintenance of service valve material inventory at PT. X, a company providing, repairing, and manufacturing equipment for the oil and gas industry in Indonesia. The problem faced by the company is the imbalance between inventory levels and actual demand, especially for critical components such as service valve materials that have an intermittent demand pattern. The research method integrates three approaches, namely the ABC classification to group materials based on annual consumption value, the Croston method to predict intermittent demand, and the Economic Order Quantity (EOQ) to determine optimal procurement policies. The results of the study identified 6 types of service valve materials included in category A (75% of total consumption value) from 612 types of materials. The implementation of the Croston method proved effective in predicting intermittent demand, while the application of EOQ based on forecasting results resulted in optimal procurement policies including optimal order quantity, annual order frequency, safety stock, and reorder point. The integration of these three methods provides a total savings of Rp657,152,210.44 or approximately 10.51% of the total inventory costs of category A service valve materials, with savings ranging from 9.35% to 11.52% for each material, thus significantly increasing cost efficiency and optimizing inventory management.
Copyright (c) 2026 Jurnal Logistik Indonesia https://creativecommons.org/licenses/by-nc-sa/4.0
Enhancing Storage Efficiency with Class-Based Storage Design: A Lubricant Drum Warehouse Study at PT Patra Logistik
Efficient storage is a critical aspect of warehouse management, particularly in industries constrained by limited space, such as lubricant drum storage. PT Patra Logistik, a third-party logistics (3PL) provider for PT Pertamina Lubricants, has faced inefficiencies in its warehouse operations due to an unstructured storage system. The current use of a random storage method has led to increased travel distances for goods movement, difficulty in locating products, and overall layout disorganization. This study aims to redesign the warehouse layout using the Class-Based Storage (CBS) method to minimize the travel distance involved in the picking and storing of goods. The research employed field observations, interviews, and analysis of historical goods movement data from the April-June 2024 period. ABC Analysis was utilized to classify products based on the frequency of inbound and outbound movements. These classifications served as the foundation for developing a more efficient warehouse layout. The results indicate that implementing the CBS method significantly reduced the total travel distance from 164,625 meters to 78,609 meters, a reduction of 86,015 meters. This improvement enhanced operational efficiency by decreasing retrieval time, increasing labor productivity, and optimizing storage space utilization. Furthermore, validation of the new layout design revealed strong support from respondents, with the majority agreeing or strongly agreeing with the proposed system.
Design of An AppSheet Based Inventory Management Information System for Warehouses Using the Waterfall Method
Accurate inventory recording is a crucial aspect of maintaining warehouse operational efficiency. XYZ Institution is a government agency that operates two distinct types of warehouses: the Central Supply Warehouse and the Environmental Chemical Warehouse. Historically, manual inventory recording in both warehouses has resulted in discrepancies between system data and actual field conditions, with an average data accuracy of only 67% in the Central Supply Warehouse and 44% in the Environmental Chemical Warehouse. This study aims to develop an inventory management application based on AppSheet using the Waterfall method, which includes the stages of design, implementation, and Black Box testing to verify the application's functionality. The application users consist of an admin, who acts as the warehouse supervisor, and end users, namely staff of the Central Supply Warehouse and the Environmental Chemical Warehouse, each with workflows tailored to their respective operational requirements. The test results indicate that the application successfully meets the designed system requirements and is ready for operational use. It is expected that the implementation of this application will serve as an initial step toward the broader digitalization of logistics systems within government institutions
Enhancing Inventory Accuracy in Manufacturing through the Implementation of Odoo Enterprise Resource Planning and Inventory Management Systems
The phenomenon in this study originates from the discrepancy between actual stock and data recorded in the Enterprise Resource Planning Odoo system used by PT Paramita Bangun Sarana Tbk. This mismatch leads to decreased operational efficiency, distribution bottlenecks, and the risk of inaccurate decision-making. The purpose of this study is to examine the influence of Enterprise Resource Planning Odoo and Inventory Management on Inventory Accuracy Improvement at PT Paramita Bangun Sarana Tbk, Jakarta. This research employs a quantitative method with a descriptive approach. The population consists of employees from the purchasing, logistics, and warehouse divisions. The sample includes 45 respondents selected using a saturated sampling technique. Data were analyzed using multiple linear regression, t-test, F-test, and the coefficient of determination (R ²). The results show that both partially and simultaneously, Enterprise Resource Planning Odoo and Inventory Management significantly influence Inventory Accuracy. This is evidenced by the F-test significance value of 0.000 < 0.05. The t-test results show a significance value of 0.000 for Enterprise Resource Planning Odoo and 0.006 for Inventory Management, both less than 0.05. These findings indicate that ERP Odoo and Inventory Management have a significant effect on Inventory Accuracy. The coefficient of determination (R ²) indicates that Enterprise Resource Planning Odoo and Inventory Management contribute 92.3% to the improvement of inventory accuracy at PT Paramita Bangun Sarana Tbk, while the remaining 7.7% is influenced by other variables not examined in this study.
Optimization of CV Jogja Telor's Supply Chain Management with Food Supply Chain Network (FSCN) Approach
Chicken eggs are an important commodity in Indonesian agribusiness and have the potential to improve the nutrition of the community and the rural economy. CV Jogja Telor is a chicken egg marketing business that is experiencing a production deficit. The qualitative analysis method using FSCN consists of six supply chain elements, namely objectives, structure, management, business processes, and resources. Supply chain performance is analysed quantitatively to assess supply chain efficiency using marketing margins and farmers˜ shares. The research findings indicate that the most efficient marketing channel is channel 1, with a farmers’ share of 100% and a marketing efficiency rate of 28,00%, namely: partner farmers → CV Jogja Telor → bakery. The least efficient marketing channel is marketing channel 4, with a farmer's share of 66,67% and a marketing margin of 33,33%, namely partner farmers → CV Jogja Telor → modern retail → end consumers. Marketing efficiency is aimed at increasing sales to bakeries and reducing the proportion of sales to modern retail, as well as using CV Jogja Telor's branded packaging for modern retail.
Supply Chain Perfomance in Expedition Services Using The Supply Chain Operations Reference (SCOR) and Analytical Hierarchy Process (AHP) Methods
The internet continues to evolve alongside the rapid advancements in information technology, which is one of the characteristics of the Fourth Industrial Revolution (Industry 4.0) that influences the transformation of business processes from conventional methods to e-commerce. Expedition services are a key player in the Supply Chain Management (SCM) process, making a significant contribution to e-commerce as providers of goods delivery services. Currently, the expedition service industry is growing rapidly, largely driven by the expansion of online business or e-commerce. This paper discusses the supply chain (SC) performance in the expedition service sector, considering that the topic of SC performance in this sector still requires further development. The research uses the SCOR model to measure SC performance based on five key processes: plan, source, deliver, return, and enable. Performance indicator weighting is conducted using the AHP method. Based on the data analysis, it was found that the SC performance value is 82.53%, which falls within the "average" category. The highest weight was found in the "deliver" performance metric at 50.44%, while the lowest performance value was observed in the "enable" metric at 6.33%.
Optimization of Hub Location for Tank Car Spare Parts Distribution In East Nusa Tenggara : A Case Study of PT Elnusa Petrofin
PT Elnusa Petrofin (EPN) is a company engaged in the logistics and distribution of fuel oil (BBM) in Indonesia, including supporting the Public Service Obligation (PSO) and One Price BBM programs managed by Pertamina. The reliability of the tank car fleet is a crucial factor in this service, so PT Elnusa Petrofin implements three maintenance programs that include preventive, corrective, and overhaul maintenance. However, in five Fuel Terminals in East Nusa Tenggara, the implementation of this program is constrained by limited spare parts due to the absence of authorized dealers and the lengthy procurement process, which results in a 4% delay in tank car repairs. Therefore, this study proposes the construction of spare parts hubs or warehouses in these five locations, intending to reduce transportation costs and time and reduce repair delays. The method used is Green Field Analysis (GFA) with AnyLogistix software and Center of Gravity (CoG) to determine the optimal location of the warehouse. The GFA results show coordinates (-8.8527219759, 121.6625537826) in Tetandara, Ende Regency, while CoG produces coordinates (-8.59346303874142, 121.010483387574) in Denatana, Ngada Regency. The cost analysis shows that shipping under existing conditions, i.e. directly from Jakarta to five locations in NTT, costs IDR 44,475,500, while through a hub in Ende Regency can save up to 57.80% at a cost of IDR 18,766,000. Meanwhile, the alternative hub in Ngada Regency offers 20.20% savings at a cost of IDR 35,491,000.
The Influence of Instagram Marketing Activities on Brand Equity of Beauty Products: A Customer Relationship Management (CRM) Approach
This study aims to examine the influence of Instagram Marketing,Brand Awareness, Brand Image, Perceived QualitytoBrand Love, Brand Reuse IntentionAndBrand Trustto customersScarlett Whitening. The population in this study are customers whofollowInstagram accountScarlett Whiteningand have purchased and used the productScarlett Whiteningwith a minimum customer age of 18 years and domiciled in West Jakarta. The research sample consisted of 162 respondents. This research is a quantitative study using the SEM-PLS method. The results of the study indicate that Instagram Marketing has a positive effect onBrand Awareness, Instagram marketing has a positive impact onBrand Image, Instagram marketing has a positive impact onPerceived Quality,Brand Awarenesshave a positive influence onBrand Love, Brand Awarenesshave a positive influence onBrand Reuse Intention, Brand Awarenesshave a positive influence onBrand Trust, Brand Imagehave a positive influence onBrand Love, Brand Imagehave a positive influence onBrand Reuse Intention, Brand Imagehave a positive influence onBrand Trust, Perceived Qualityhave a positive influence onBrand Love, Perceived Qualityhave a positive influence onBrand Reuse Intentionand lastPerceived Qualityhave a positive influence onBrand Trust.
Decision Support System for Tourism Supply Chain Strategy in Banyumas Regency
Tourism is a sector that consistently supported by the government due to its impact on Indonesia's economic growth. One of the regions with the highest number of tourist attractions in Central Java is Banyumas Regency, known especially for its natural tourism. However, tourism growth in Banyumas has stagnated and even worse having a drecreased due to the impact of COVID-19. To accelerate economic recovery through tourism, the government has implemented various efforts, including strengthening the supply chain process from upstream to downstream. However, Banyumas has not yet optimized the supply chain process, resulting with amount of visitor are less than the tourism attraction that offered in Banyumas. This study aims to determine supply chain strategies for enhancing tourism growth in Banyumas Regency. Using SWOT analysis initially, followed by the Analytical Hierarchy Process (AHP) for prioritizing strategies, the results suggest that the optimal strategy is a Strength-Opportunity (SO) approach, focusing on developing affordable, family tour packages for natural tourism destination, cultural festivals, and art events through village tourism.
Evaluating the Impact of Installed Capacity and Actual Production Volume on the Operational Efficiency of Regional Water Supply Company
In evaluating the performance of PDAMs in various regions, the gov-ernment must also look at the problems that occur in a regional drinking water company such as customer water quality, customer growth, prof-itability, liquidity and financial performance solvency. For this reason, local governments need to evaluate performance in order to improve performance in the company. Generally, companies still use the tradi-tional approach in measuring performance that comes from company financial information, along with the times there is performance meas-urement using the balanced scorecard method, this method is a meas-urement method that offers both financial and non-financial measure-ments. This study aims to determine the effect of installed capacity on opera-tional performance to determine the effect of real production volume on operational performance and to find out which is the most influential between installed capacity and real production volume on the opera-tional performance of PDAMs in West Java, Banten and Jakarta in 2018. In this study the author uses a quantitative approach. This research da-ta collection uses secondary data, which is obtained from the report on the results of the 2018 PDAM performance evaluation issued by BPKP and BPPSPAM. This research uses SPSS multiple regression analysis tool. The results show that the Installed Capacity has a minimum value of 188, the maximum value of Installed Capacity is 20,238. The Real Pro-duction Volume has a minimum value of 146, the maximum value of the Real Production Volume of 19,752 that occurs. Operational perfor-mance has a minimum value of 0.81, the maximum value of Opera-tional Performance is 1.69. The mean value of Operational Performance is 1.2547.
Influence System Online Tracking And Delivery Timeliness Regarding the Decision to Use J&T Express Expedition Services, Cilincing Branch , North Jakarta
The background of this study is based on the increasing number of e-commerce users, which has led to high demand for fast, accurate, and. real-time trackable delivery services. However, there are still customer complaints regarding the accuracy of tracking information and delivery delays, which affect customer decisions. The purpose of this study is to determine the influence of the Online Tracking System and Delivery Timeliness on Service Usage Decisions at the J&T Express Branch in Cilincing. North Jakarta. This study used a quantitative method with al descriptive approach. The population consists of J&T Express customers at the Cilincing Branch in North Jakarta. The sample in this study consisted of 100 respondents using purposive sampling. Data analysis used multiple linear regression models, T-tests, F-tests, and coefficient of determination (R) tests. The results of this study indicated that both partially and simultaneously, the variables of the Online Tracking System and Delivery Timeliness significantly influence Service Usage Decisions. This is evidenced by the F-test results, which have a significance value of 0.0000.05, The T-test results for the Online Tracking System variable are 0.000, and for the Delivery Timeliness variable are 0.005, where the value is less than 0.05. Based on the t-test results, it can be concluded that all variables, namely the Online Tracking System and Delivery Timeliness, influence the Decision to Use Services. The coefficient of determination (R) for the decision to services at J&T Express is influenced by the Online Tracking System and Delivery Timeliness variables by 0.778 or (77.8), while the remaining 22.2% is influenced by other variables outside the scope of this study. Keywords : Online Tracking, Delivery Timeliness, Service Usage Decision
Management of Ex-Project Spare Parts Using the ABC Analysis Method in the Project Engineering Division of PT. Dj
This study discusses the management of leftover project components or ex-project spare parts in the Project Engineering division of PT. Dj. One of the causes of excess inventory is the Minimum Order Quantity (MOQ), which can potentially lead to inefficiencies if not managed systematically. One of the approaches used to improve inventory management is classification using the ABC analysis method. This method was chosen because it can group items based on their annual consumption value, making it easier for the company to prioritize high-value items that significantly impact operational costs. The objective of this study is to enhance warehouse management effectiveness, reduce waste in future projects, and optimize storage space utilization. In this study, data from 827 types of ex-project electrical spare parts were collected and analyzed based on their annual consumption values, then classified into three categories: A, B, and C. The classification results show that Category A consists of high-value items but in small quantities, thus requiring strict control. On the other hand, Category C consists of many low-value items that require minimal attention. The implementation of ABC analysis has proven effective in identifying priority items, improving inventory management efficiency, and supporting project readiness in the future.
The Role of Artificial Intelligence in Collaborative Green Supply Chain Management: Impact on Company Performance and Moderation of Top Management Commitment
This study explores the growing interest in big data and Artificial Intelligence (AI) while addressing the gap in research on AI's role in Collaboration within Green Supply Chain Management (CGSCM) and its impact on Firm Performance (FP). Integrating AI and assessing Top Management Commitment (TMC) as a moderating factor, a moderated mediation model was constructed using data from 152 Indonesian manufacturing firms. The results show that AI positively influences CGSCM and FP, with CGSCM acting as a mediator between AI and FP. Additionally, TMC enhances the positive relationship between AI and CGSCM, strengthening this connection at higher TMC levels. Conversely, TMC moderates the link between AI and FP, reducing its strength at lower TMC levels. These findings provide valuable insights for supply chain and logistics managers, offering guidance on implementing AI to promote collaboration in sustainable supply chains and improve firm performance.
Selection of 3PL Vendors for The Distribution of Garment Products Using The ANP: A Case at An Indonesia Garment Company
Decision-making for the selection of a 3PL vendor needs to look at many factors, currently PT BASIL has not determined a vendor for the new delivery route as well as previously the selection of a vendor based on price and fleet availability. This study uses the Analytical Network Process (ANP) method assisted by super decision which provides value information in the form of weight, alternatives that have high weight are recommended recommendations. The results of data processing from the highest order for the criteria are delivery 19%, service 16%, experience 15%, quality 14%, responsive 12%, performance 11%, insurance 7%, price 5%. For the sub-criteria, namely the reputation of the vendor, the availability of the car carrier when there is demand and the ability to fulfill the specified schedule when there is a demand 12.50%, the safety of goods 7.54%, payment 6.48%, good complaint handling 6.39%, low price 6.02%, the condition of the goods 4.96%, good communication 4.84%, liability 4.80%, late goods insurance 4.75%, damaged goods insurance 4.26%, flexible 4.24%, lost goods insurance 3.49%, punctuality 3.06%, ability to respond to defective and surviving goods claims 2.86%, non-defective goods 2.11%, accuracy of the quantity of units delivered and units received in good condition 2.10%, goods not lost 2.01%, fleet condition 1.40%, accurate 1.12%, documents 0.48%, paying attention to K3 in operational activities 0%. For the alternative with the highest weight, Lion Parcel is 36%, because Lion Parcel is a vendor that matches the priority needs of the company.
Pengaruh Harga dan Kualitas Pelayanan terhadap Keputusan Penggunaan Jasa Layanan pada JNE Express Tanjung Priok Jakarta Utara
The phenomenon in this research is related to the increasingly fierce competition in the shipping service industry. Some of the problems that occur regarding complaints of 'delivered' status sent but the package has not been received, the package received is wrong or confused with other packages, employees are not friendly in providing services, and payment transactions cannot use e-payment. The purpose of this research was to determine the impact of price and service quality on the decision to use services at JNE Express Tanjung Priok, North Jakatta. This research uses quantitative method with a descriptive analysis approach. The population is consumers at JNE Express Tanjung Priok North Jakarta. The sample was taken using the Slovin formula calculation. Data analysis using multiple linear regression models, T test, F test, and R2 coefficient of determination test. The results showed that simultaneously the variables Price and Service Quality affect the Decision to Use Services. This is evidenced by the results of the F test which has a significance value of 0.000 <0.05. The T test results for the Price variable are 0.006, the Service Quality variable is 0.000 where the value is smaller than 0.05. Based on the results of the T test, it can be concluded that all variables, namely Price and Service Quality, have an impact on the Decision to Use Setvices. The results of the coefficient of determination (R2), the decision to use services at JNE Express Tanjung Priok North Jakatta is influenced by the price and setvice quality variables of 0.581 or (58.1%), while the remaining 41.9% is influenced by other variables which were not examined in this research.
Copyright (c) 2024 Jurnal Logistik Indonesia
The Effect of the Application of Class Based Storage Method on Increasing the Utility in The Warehouse at CV. Bachtiar Jaya Plastic
This study aims to determine how big the influence of the application of the Class- based Storage Method on the Improvement of Utilities in the Waste Warehouse in CV. Bachtiar Jaya Plastic. By applying the Class-Based Storage method, the benefits in the warehouse can be more optimal, the speed in the storage process and the accuracy in managing the warehouse to meet consumer needs. The research methodology used is descriptive quantitative research method, with samples in this study as many as 30 performances using the Non Probability Sampling Technique, namely Saturated Sampling. The results of this study indicate that Class-Based Storage has an effect on Warehouse Utility. based on the results of the t-test obtained the value of t-count > t-table (5,282>2,048). It can be concluded that H0 is rejected and H1 is accepted, or there is an influence between the application of the Class Based Storage Method on increasing the utility in the warehouse.
Copyright (c) 2022 Jurnal Logistik Indonesia
Analysis of Potential Risks and Work Accidents Using Hazard Identification, Risk Assessment and Risk Control (HIRARC) Method: a Warehouse Support Case Study of PT. Vale Indonesia Tbk
Occupational Safety and Health (OSH) aims to maintain and improve the health and safety of the employees. Low levels of workplace safety may result in significant effects on the health of the employees. This research intends to use the HIRARC (Hazard Identification, Risk Assessment, and Risk Control) technique to identify the likely hazards and assess the potential accident or financial loss that the company could incur. A case study of the warehouse of PT Vale Indonesia Tbk, one of the leading mining companies in Indonesia, is used to evaluate the effectiveness of the method. The results show that there are multiple classifications of the level of risk that can be encountered in the warehouse’s operational activities, including extreme, high, moderate and low level. Ultimately, this research proposes a series of improvement recommendations to minimize the occurrence of risks and hazards.
Influence of Integrated Marketing Communication on Customer Loyalty Survey at CV. Fashion Ponokawan Village, Krian District, Sidoarjo Regency, East Java Province, Indonesia
This research was conducted at CV. Fashin Sidoarjo, the purpose of this research is to determine the effect of integrated marketing communication on the Fashion brand on customer loyalty. Integrated marketing communication as the independent variable (X) while customer loyalty as the dependent variable (Y). The method used in this research is quantitative using a descriptive research approach and verification using the Structural Equation Model (SEM) using Partial Least Square (PLS). The sampling technique used is non-probability sampling and purposive methods. With 91 samples as respondents taken from customers of Fashion brand products. From the results of the study, the results of integrated marketing communications have a positive and significant effect on customer loyalty by 74.1%.
The Influence of Motivation and Work Experience on Employee Performance at a Logistics Service and Hinterland Development Company
This study aims to analyze and determine the influence between motivation and work experience on the performance of employees of PT. Multi Terminal Indonesia. This study uses a quantitative method, and the data used is primary data obtained by distributing questionnaires. In addition, this study also uses secondary data obtained from several articles, journals, and similar research. In this study using 78 respondents with a tolerance level of 10% on the Slovin formula, and using a probability sampling technique with a simple random sampling approach. The data analysis technique used in this study is instrument testing with validity and reliability tests, classical assumption tests, and hypothesis testing through the coefficient of determination test, t test, and f test using SPSS 27. The results of this study indicate that there is a significant influence between motivation and work experience variables on the performance of employees of PT. Multi Terminal Indonesia. As well as simultaneously motivation and work experience affect the performance of employees of PT. Multi Terminal Indonesia..
Optimization of Blood Bag Distribution Routes Using AMPL Software and Nearest Neighbor Algorithm (Case Study of the Indonesian Red Cross Jakarta)
The process of distributing blood bags by the Indonesian Red Cross (PMI) DKI Jakarta uses route selection preferences by ambulance drivers. Basically, this routing problem can impact other aspects such as additional costs, distribution time, fuel use, carbon emissions, and others, so this research needs to propose the best route to minimize travel distance. There are several Hospital Blood Banks (BDRS) in Jakarta that do not receive blood bags at the right time. As an organization authorized to provide blood bag supply, the PMI must distribute blood bag using the 7R concept (Right Time, Right Place, Right Quantity, Right Quality, Right Cost, Right Condition, and Right People). The PMI also has to consider that blood bags are classified as perishable items that need to require fast and precise handling. Therefore, it is necessary to optimize the blood distribution by minimizing travel distance. The optimization model used is the Vehicle Routing Problem (VRP) with AMPL software comparing with the Nearest Neighbor (NN) algorithm. After 4 hours of running the trial, this research has revealed that AMPL software gives the best combination of travel distance than the Nearest Neighbor algorithm, with the differences being approximately 11.52 km.
Supply Chain Analysis of Green Mussel Business in Umbul Asem Village Bandar Lampung
Umbul Asem village is a coastal area has a fairly high potential, especially the farming of green mussels. However, the prospect of green mussel farming which is quite large is still not realized by all fishermen so it is necessary to conduct research to determine the green mussel supply chain and see what opportunities from its business so that it can be developed. This is a descriptive research which is conducted in field and desk research. The results indicate the green mussel supply chain starts from farmers to distributors then to retailers and to end consumers, while supply chain players manage relationships between supply chain from upstream to downstream and vice versa well. Some of the green mussel business opportunities that are visible include selecting the Longline method to minimize costs and increase profits also suitable for high wave waters, farming is simple and does not require special treatment, lots of green mussel seeds are available in the waters, the profit from one longline is around Rp. 691,667, the location is close to PPI Lempasing (3 km in 8 minutes). In addition to developing the green mussel business, it is necessary to conduct a study that is in line with the government's efforts in formulating a strategy for developing the fishing industry in Bandar Lampung.
Comparison of Data Inquiry and Cost Structure Methods to Arrange Owner Estimate (Case Study of Carbon Steel Pipe Procurement at PT XYZ)
In material sourcing, one of the procurement processes that should be completed before evaluating and selecting the vendor is making an Owner Estimate (OE). The most common way to arrange an OE is by making Data Inquiry, where the arranger asks for a certain product’s price from a list of providers or vendors. However, this method does not describe in detail how the price of the product is constructed, so the company, which is doing the procurement process, tends to set a higher OE. To reduce this risk, another method to determine OE is introduced. This method applies a Cost Structure method to calculate production and transportation costs, the expenses a vendor should cover when manufacturing the products. Using a total of 20 scenarios that varied the percentage of profits, the increase in carbon steel plate costs, and the overhead costs, using Cost Structure Method can lower the Owner Estimate between 0.51% to 24.46%. The last scenario with 20% increase in profit, 20% increase in carbon steel plate cost and 20% increase in the overhead cost resulted to -2.55% reduce of Owner Estimate. This new method is proven effective as an alternative way to arrange OE for similar material.
Shipping Operation Diagram (SOD) Method in Setting The Departure and Arrival Hours of Trucks at PT ABC
PT. ABC is a company engaged in the plastic manufacturing industry that produces a wide range of products, from automotive plastics, cosmetic plastics, houseware plastics, health plastics to plastics for pharmaceutical purposes. Meeting customer needs in a timely manner is necessary so that customers have satisfaction with company services. The problems experienced by PT ABC. is the arrangement in scheduling automatic product delivery to customers. This research is aimed at using the Shipping Opertaion Diagram method in determining the hours of departure and arrival of trucks by considering the pulling time of late delivery and visualizing delivery information to make it right on target. The results of this study are expected to be able to adjust the departure time for delivery of goods based on product storage.
The Influence of Inaportnet on the Effectiveness of Clearance In/Out Ships at PT Oremus Bahari Mandiri Surabaya
This study aims to determine the effect of Inaportnet on the effectiveness of ship entry and exit permits at PT Oremus Bahari Mandiri Surabaya. Data collection was carried out at PT Oremus Bahari Mandiri Surabaya in June 2019 by means of observation, study documentation, and distributing questionnaires. The collected data was processed using simple linear regression analysis techniques, validity test, reliability test, and coefficient of determination. The results showed that Inaportnet at PT Oremus Bahari Mandiri Surabaya has been running well with an R2 value of 0.804 or 80.4% Inaportnet has an effect on the effectiveness of Clearance in/out Ships at PT Oremus Bahari Mandiri Surabaya.