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Jurnal Manajemen dan Teknologi Rekayasa
Published by Institut Teknologi Dirgantara Adisutjipto
ISSN : 29640741     EISSN : 29627079     DOI : http://dx.doi.org/10.28989/jumantara.v1i1
Core Subject : Science, Engineering,
Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Mechanical Engineering
JUMANTARA is a journal that publishes scientific articles from the Industrial Engineering discipline. JUMANTARA is published by the Industrial Engineering Study Program of Institut Teknolgi Dirgantara Adisutjipto. JUMANTARA accepts manuscripts or articles in industrial engineering from various academics and researchers, both nationally and internationally. The articles published in JUMANTARA include the results of scientific research covering fields of study, including: Production System Work system design and ergonomics Industrial Management Supply Chain Inventory System Scheduling System Performance measurement Industrial Automation System Optimization Simulation Reliability Maintenance management Economics Engineering Manufacturing process and other relevant fields of study
Arjuna Subject : Teknik (semua kategori) - Tenik Industri dan Manufaktur
Articles 79 Documents
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Human-Centered Culinary Packaging Design: A Case of Oryza sativa L. indica Sticker Design Perdana Suteja Putra; Grahita Prisca Brillianti; Kokom Komariah
JUMANTARA: Jurnal Manajemen dan Teknologi Rekayasa Vol 5, No 1 (2026): Januari
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/jumantara.v5i1.3420

Abstract

Black rice (Oryza sativa L. indica) is increasingly recognized for its nutritional benefits, including high antioxidant content, dietary fiber, and gluten-free properties. However, limited market penetration persists due to unappealing and uninformative packaging. This study aimed to design and validate a packaging sticker prototype for black rice using a human-centered approach. The research employed the design thinking framework—empathize, define, ideate, prototype, and test—with active participation from 20 farmers, 2 sellers, 2 ergonomics experts, and 20 consumers. Insights from stakeholders highlighted the need for branding authenticity, nutritional claims, halal certification, cooking instructions, and visual elements that balance cultural identity with premium appeal. The resulting prototype featured the brand “Beras Hitam Klaten,” clear health claims, preparation guidance, halal and regulatory information, and a balanced color scheme of earthy brown and gold accents. Validation with the USE Questionnaire demonstrated strong usability performance, with average scores of 4.5 for usefulness, 4.6 for satisfaction, 4.4 for ease of use, and 4.7 for ease of learning. Farmers and sellers reported improved confidence in marketing, while consumers appreciated the clarity and trust cues embedded in the design. The study concludes that integrating human-centered design principles into packaging development can significantly enhance product competitiveness for smallholder agribusiness, with implications for broader adoption in local food systems and SME innovation.
Design of Recommendation Decision Support System ITERA Industrial Engineering Students' Final Project Topic with Method Case-Based Reasoning and Certainty Factors Hersa Dwi Yanuarso; David Kusuma; Muhammad Faishal Jundana Muttaqin; M. Zaky Hadi; Fatin Saffanah Didin
JUMANTARA: Jurnal Manajemen dan Teknologi Rekayasa Vol 5, No 1 (2026): Januari
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/jumantara.v5i1.3525

Abstract

Design of Decision Support System (DSS) for final project topic recommendation for ITERA Industrial Engineering students by integrating Case-Based Reasoning (CBR) and Certainty Factor (CF) methods used to support this research. A common problem is when determining the final project research topic, where most students have difficulty finding a topic that is in accordance with their respective fields of expertise. This causes the final project to take longer than the estimated standard time for graduates, which is normally between 4-5 years. The purpose of this study is to assist final year students in determining the final project title that suits their preferences and academic needs. The CBR method is used to search and compare cases based on case similarities with data contained in the database, while the CF value is applied to handle uncertainty and provide a level of confidence in the resulting recommendations. The results show that the integration of these two methods improves the accuracy and relevance of recommendations, as well as providing better transparency through the presentation of Certainty Factor values. System evaluation shows a high level of user satisfaction and a decrease in the time required to determine the final project topic. The design and development of a decision support system for final project topic recommendations was successfully carried out by integrating the Case-based Reasoning and Certainty Factor methods implemented on web hosting, performance evaluation and the impact of system use on user satisfaction showed that users felt satisfied when using the decision support system.
Marketing Strategy of Kopi Sejati Products Using SWOT, Marketing Mix 4P, and Boston Consulting Group (BCG) Matrix Agnes Vicky; Andi Velahyati Baharuddin; Dewi Dewi
JUMANTARA: Jurnal Manajemen dan Teknologi Rekayasa Vol 5, No 1 (2026): Januari
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/jumantara.v5i1.3463

Abstract

Kopi Sejati is a micro, small, and medium enterprise (MSME) in Makassar engaged in the production and sale of locally roasted coffee. Its marketing activities remain limited, relying mainly on exhibitions and direct sales by the owner, with minimal utilization of digital platforms. This study aims to formulate an effective marketing strategy through the integration of SWOT analysis, Marketing Mix (4P), and the Boston Consulting Group (BCG) Matrix. The research employs a descriptive qualitative and quantitative approach, with data obtained from observation, interviews, questionnaires, and sales documentation from 2023–2024.The findings indicate that the most suitable strategy for Kopi Sejati is the Strength–Opportunity (SO) strategy, with total IFAS and EFAS scores of 4.20 and 4.22, placing the business in Quadrant I (aggressive growth strategy). The BCG Matrix identifies Kopi Sejati as a Cash Cow, with a relative market share of 1.25 and an industry growth rate of 4.2%, reflecting a strong yet stable position. The Marketing Mix (4P) analysis highlights product quality and competitive pricing as strengths, while promotion and distribution require improvement. Strengthening digital marketing, forming a dedicated marketing team, and expanding distribution networks are projected to increase market reach by 30% and boost sales by at least 20% annually.
Job Safety Analysis as a Sustainable Solution for Hazard Identification and Control in the Sugarcane Klentek Frame Fabrication Process at PT. XYZ Achmad Samudra Dewantara; Sherin Ramadhania; Nia Sastra Permata; Muhammad Suryo Panatagomo Abi Suroso; Eka Rachmadi Endarta Putra
JUMANTARA: Jurnal Manajemen dan Teknologi Rekayasa Vol 5, No 2 (2026): Juli
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/jumantara.v5i2.3613

Abstract

This study applies Job Safety Analysis (JSA) as a qualitative method to manage occupational safety and health (OSH) risks in the production of the Frame Klentek Tebu component at PT. XYZ, an agricultural machinery company. Despite having existing OSH programs, the company continues to face high-frequency incidents of near-misses and Lost Time Injuries, mainly due to heavy machinery use, welding, and painting. The initial analysis suggests that these accidents are caused by procedural lapses and inadequate hazard identification at the task level. The JSA process involved analyzing key tasks Cutting, Fit-Up, Welding, Primer Painting, and Finishing Painting to identify hazards such as falling materials, electric shock and burns during welding, and chemical inhalation during painting. A significant finding was the non-compliance with Personal Protective Equipment (PPE), largely due to operator habits. The research proposed a control hierarchy, prioritizing Elimination (e.g., chamfering sharp edges, replacing forklifts with automated conveyors) and Engineering Controls (e.g., proper grounding systems, installing barriers). This JSA serves as an essential tool for embedding safety into Standard Operating Procedures (SOPs), ensuring business continuity, and creating a safer work environment at PT. XYZ.
Dashboard for Electric Vehicles Using Design Thinking Methods with Human Machine Interface (HMI) Integration in the Battery Management System (BMS) Perdana Suteja Putra; Siti Yuki Lestari; Silvi Istiqomah
JUMANTARA: Jurnal Manajemen dan Teknologi Rekayasa Vol 5, No 2 (2026): Juli
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/jumantara.v5i2.3537

Abstract

Transportation technology continues to evolve to support environmentally friendly energy use, with battery-powered electric vehicles (EVs) becoming one of the most widely adopted innovations. The Battery Management System (BMS) plays a crucial role in monitoring battery conditions. The design of an informative and user-centered dashboard becomes essential. This study presents the development of an informative EV dashboard by integrating HMI with BMS using the Design Thinking methodology. User needs were identified through Focus Group Discussion (FGD) and mapped using an empathy map, revealing essential information requirements such as State of Charge (SoC), State of Health (SoH), estimated range, navigation, and a simple, intuitive visual display. The ideation stage with the innovation canvas produced relevant feature concepts. The prototype was evaluated using the System Usability Scale (SUS) involving 20 respondents, resulting in an average score of 76.25, categorized as “Good” and acceptable. The findings indicate that the dashboard is easy to use and helps drivers better understand vehicle conditions. Overall, this research demonstrates that Design Thinking is effective in developing user-friendly dashboards that integrate HMI with BMS, thereby enhancing EV usability and supporting the acceleration of EV adoption in Indonesia.
Analysis of Hazard Potentials in CTU Pipe Testing Activities at the Mobile Bunker and Estimation of Operational Costs Didik Hidayatulloh; Iva Mindhayani
JUMANTARA: Jurnal Manajemen dan Teknologi Rekayasa Vol 5, No 2 (2026): Juli
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/jumantara.v5i2.3603

Abstract

Analyze potential hazards or risks in the work environment of a company to take handling actions and anticipate them. In this problem, Hazard and Operability (HAZOP) is considered an appropriate tool in identifying risks because it is able to identify hazards that occur in companies or the potential for work accidents in pipe test activities in mobile bunkers. The method used in this study to analyze work accidents is HAZOP (Hazard and Operability Study) because this method is able to raise the potential for accidents in the workplace. The purpose of this study is to determine the type of work accident that is dominant in pressure test treating iron activities with bunker pressure test fabrication. Based on the results of HAZOP analysis, this study shows that the most common potential danger is the use and condition of non-standard hammers that cause splashes and hit the eye to irritate. While the potential hazard that has the highest risk with the result of death is Treating iron rupture on workers. Then the operational cost of pipe tests is much more economical using mobile bunker tests. While the operational costs of pipe testing in mobile bunkers are more economical, more effective, work safety is higher and the potential hazards are lower than operational costs in permanent bunkers. Then the existence of mobile bunkers is more efficient in pipe testing activities than testing in conventional bunkers.
Prioritization of Drilling Machine Failure Risk with the FMEA Approach Luhur Pambudi Herdanarpati; Denny Kurniawati
JUMANTARA: Jurnal Manajemen dan Teknologi Rekayasa Vol 5, No 2 (2026): Juli
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/jumantara.v5i2.3961

Abstract

Mining is one of the industrial sectors that relies heavily on the reliability of machinery and equipment to support the smooth exploration and operational process. The reliability of the machine in the exploration unit is critical in ensuring productivity and operational efficiency. The purpose of this study is to improve the reliability of the machine through the Risk Priority Number method approach with RPN values based on severity, occurrence, and detection values. Analysis of unit EXP-DL-02 identified the main failure mode with significant RPN values of 144,108,96, and 84, revealed more critical risks with RPN values of 210,180, and 72. Repair priorities are focused on the components with the highest RPN values according to the pareto diagram namely latch spring, spring valve, backhand, V-belt (EXP-DL-02) and seal cylinder, cylinder head, hydraulic hose, spiral hose (EXP-DL-06). Recommended corrective actions by improving machine reliability, operator skills and prioritizing scheduled preventive maintenance and regular parts changes. This is to improve machine performance and overall operational efficiency.
Identification and Risk Management Efforts In Supply Chain Activities Using The House Of Risk Method In Sempe Arimanis Small and Medium Enterprises Dindi Asparilla Putri Sutanto; Yasrin Zabidi; Suhanto Suhanto; Riani Nurdin; Eko Poerwanto; Prasidananto Nur Santoso
JUMANTARA: Jurnal Manajemen dan Teknologi Rekayasa Vol 5, No 2 (2026): Juli
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/jumantara.v5i2.2477

Abstract

Sempe Arumanis, a small and medium enterprise (SME), operating in Yogyakarta and producing Sempe Arumanis, faces supply chain risks such as inaccurate orders, late supplies, and damaged raw materials. Therefore, risk management is needed to identify and mitigate the risks present in the SME. Therefore, risk identification is necessary to minimize these risks. The House of Risk (HOR) method is used to identify risks and take preventive measures. The results of the analysis revealed three high-frequency risks faced by Sempe Arumanis small and medium enterprises: a lack of historical data or accurate information, dependence on a single supplier, and restrictions on raw material purchases that disrupt operations and customer satisfaction. Risk management measures include seeking more than one supplier, routinely checking stock, labeling shelves, negotiating contracts and inventory, conducting quality checks before shipment, training in quality control, communicating between sales and warehouse teams, and implementing an integrated system.
Design Of Artificial Neural Network (ANN) Based Analytics Model for Safety Stock and Reorder Point Prediction at Galeri 1 ITERA Guido Immanuel Simanungkalit; Hersa Dwi Yanuarso; Frieska Ariesta Syafnijal; Eka Rachmadi Endarta Putra; Sherin Ramadhania
JUMANTARA: Jurnal Manajemen dan Teknologi Rekayasa Vol 5, No 2 (2026): Juli
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/jumantara.v5i2.3992

Abstract

Inventory management in retail environments such as Galeri 1 ITERA faces significant challenges due to fluctuating and irregular demand patterns, which often lead to stockout and overstock conditions. This study proposes an integrated inventory analytics system that combines ABC classification, demand forecasting using Artificial Neural Network (ANN), safety stock (SS) and reorder point (ROP) calculation, as well as interactive dashboard visualization to support data-driven inventory decision-making. The research methodology consists of: (1) ABC analysis to determine inventory control priorities for 56 products; (2) demand forecasting using ANN models trained on historical sales data; (3) calculation of safety stock and reorder point based on forecasting results and lead time variability; and (4) development of an analytics dashboard using Microsoft Power BI. The proposed ANN model utilizes a multilayer feedforward architecture capable of capturing nonlinear demand patterns. Forecasting performance was evaluated using WAPE, RMSE, and MAE metrics. The results indicate that 24 category-A items (42.9%) contribute to 79.45% of the total inventory consumption value, highlighting the need for tighter inventory control. The ANN forecasting model achieved an average accuracy of 88.72% with an average WAPE of 11.28%, while most products showed stable MAE and RMSE values below 2.5 units. Forecasting outputs were subsequently integrated into safety stock and reorder point calculations, producing dynamic inventory control parameters ranging from 3–209 units for safety stock and 3–296 units for reorder points. The main scientific contribution of this study lies in the integration of ABC classification, ANN-based forecasting, and dashboard-based predictive analytics into a unified inventory management framework for retail operations. The resulting dashboard enables interactive monitoring of inventory conditions, stock alerts, demand predictions, safety stock, and reorder point values, thereby improving the effectiveness and responsiveness of inventory control decisions.
Forecasting Sales of Souvenir Goodie Bags Using Time Series Methods and Material Requirement Planning at Depouch Bag Souvenir Firdaus Firdaus; Aod Abdul Jawad; Rini Alfatiyah
JUMANTARA: Jurnal Manajemen dan Teknologi Rekayasa Vol 5, No 2 (2026): Juli
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/jumantara.v5i2.3915

Abstract

Small and medium-sized enterprises (SMEs) frequently face demand uncertainty and fluctuations, which complicate production scheduling and raw material planning. In the souvenir industry, inaccurate demand estimation may lead to overstocking or material shortages that disrupt production activities. This study aims to forecast the sales of souvenir goodie bags at Depouch Bag Souvenir using time series forecasting methods and to integrate the forecasting results into Material Requirement Planning (MRP) to improve production planning efficiency. This research evaluates three forecasting techniques, namely the 3-period Moving Average (MA), Exponential Smoothing (ES), and Weighted Moving Average (WMA). Forecasting accuracy is assessed using the Mean Absolute Percentage Error (MAPE). The results show that the Moving Average method produces the highest forecasting accuracy with a MAPE value of 15%, followed by Exponential Smoothing with 17%, and Weighted Moving Average with 20%. Based on these results, the Moving Average method is selected as the most appropriate model for predicting future demand. The forecasting results are then used as input in the Material Requirement Planning (MRP) system to determine the quantity and timing of raw material procurement required to meet production demand. The findings indicate that integrating demand forecasting with MRP can support better inventory control and reduce the risk of material shortages in production processes. The novelty of this study lies in the integration of time series demand forecasting and Material Requirement Planning within the operational context of SMEs experiencing fluctuating demand, providing a practical approach that enhances production planning and inventory management efficiency in small-scale manufacturing environments.

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