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Nadya Mara Adelina
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Departmen of Food Technology, Faculty of Science and Technology, University of Al Azhar Indonesia Fakultas Sains dan Teknologi Universitas Al Azhar Indonesia, Lt. 5. Kompleks Masjid Agung Al Azhar, Jalan Sisingamangaraja, Kebayoran Baru, Jakarta Selatan 12110
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INDONESIA
Exhibition and Seminar on Science and Creative Technology – Al Azhar Proceeding
Published by Universitas Al Azhar Indonesia
ISSN : -     EISSN : 30326958     DOI : http://dx.doi.org/10.36722/exc.v1i1
Core Subject : Science, Engineering,
Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Industrial & Manufacturing Engineering
Focus and Scopes: Food Technology: Halal and Thayyib Food, Food Innovation Nutrition: Community Nutrition, Food Security Biology: Bioconservation, Biotechnology, Informatics Engineering Data Science: Artificial Intelligence Electrical Engineering: Communiication System and Networks, Mechatronics, Instrumentation, and Power System Industrial Engineering: Ergonomics, Supply Chain Management, Managemnet Engineering, Product Development
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 42 Documents
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The Impact of the EU Deforestation-free Regulation on Indonesia's National Policies for Sustainable Coffee Commodity Management Lipul Lipul; Nita Noriko
EXSACT-A Vol 3, No 1 (2025)
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/exc.v3i1.5593

Abstract

As one of the world's largest coffee producers, Indonesia faces a new challenge with the enactment of the EU Deforestation-free Regulation (EUDR) by the European Union, a vital export market. This regulation requires that coffee products entering the EU market must be proven not to originate from land deforested after December 31, 2020. The objective of this article is to conduct an in- depth analysis of the EUDR's impact on the Indonesian coffee supply chain, evaluate the readiness of existing national policies, and identify policy responses that have been and need to be implemented. This study employs a qualitative method using a policy analysis approach and a comprehensive literature review of regulatory documents, government reports, and scientific publications. The results indicate significant challenges, particularly for millions of smallholder farmers, which include the obligation to provide geolocation data, fulfill due diligence requirements, and prove land legality, which is often undocumented. A gap was found between Indonesia's existing sustainable coffee management policies and the stringent requirements of the EUDR, especially concerning farm-level traceability. Although the Indonesian government has initiated several responsive measures, such as establishing a task force and diplomatic efforts, an acceleration in the development of an integrated and inclusive national traceability system is necessary. This article concludes that the EUDR, while a potential trade barrier, can also function as a catalyst to accelerate governance reforms in Indonesia's coffee sector towards more verifiable sustainability. Strategic policy implications are emphasized on strengthening farmer capacity, harmonizing regulations, and utilizing digital technology to ensure Indonesian coffee remains competitive in the global market.
Optimization of Feed Costs at Simpeda Livestock Farm Using Linear Programming with the Graphical Method Muhamad Fikri
EXSACT-A Vol 3, No 1 (2025)
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/exc.v3i1.3829

Abstract

This research discusses the optimization of animal feed costs at Simpeda Farm using a linear programming method based on a graphical method. The study's main objective was to determine the optimal amount of corn and soybean purchases to meet the daily nutritional needs of livestock at minimal cost. The mathematical model developed considered nutritional constraints, including protein and fiber content, as well as the purchase price of each ingredient. The analysis was conducted using QM for Windows software, which produced an optimal solution at the points X₁ = 10 (maize) and X₂ = 0 (soybeans) with a minimum total cost of $3,000. The results show that the graphical method provides an accurate and efficient solution, although it requires precision in the data input process. With this approach, farms can manage resources more optimally and economically
Spatial Transformation and Food Security: A Mixed-Method Socio-Spatial Study in East Manggarai Regency Budi Dermawan; Nita Noriko
EXSACT-A Vol 3, No 1 (2025)
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/exc.v3i1.5595

Abstract

Food security is crucial for sustainable development, especially in highly vulnerable areas, particularly in East Manggarai Regency. This regency is vulnerable to food insecurity due to difficulties in accessing markets and low agricultural diversification that depends on the weather. Therefore, Socio-Spatial study using Geographic Information Systems (GIS)-based spatial mapping and qualitative exploration through interviews and field observations are required. This aims to reveal resource distribution across villages and socio-cultural practices in shaping food access. This study revealed that Spatial-based food security mapping should be combined with economic analysis that considers market structure, financial access distribution, and households' economic capacity to access food. Food security cannot solely depend on the increased production, but should be achieved through comprehensive improvements to the spatial system, social relations, and economic base of local communities. Accordingly, the study concluded that spatial inequalities in food security are required integrative, contextual, and participatory solution.  
Application of the TORA Software for Linear Programming Using the Big M Method to Maximize Profits from Scent, Aroma, and Fresh Perfume Products Aurellia Yovana
EXSACT-A Vol 3, No 1 (2025)
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/exc.v3i1.3823

Abstract

Linear Programming (LP) is a mathematical method used to find the optimal solution in resource allocation problems to achieve specific objectives, such as maximizing profit or minimizing cost. This method is widely applied in various fields such as business, manufacturing, and economics. In this study, linear programming is applied to a perfume company that produces three types of perfumes: Scent, Aroma, and Fresh. Each perfume requires limited raw materials, namely rose, jasmine, and kenanga flower extracts. The available resources today are only 1.7 kg of rose extract, 1 kg of jasmine extract, and 0.3 kg of kenanga extract. The company aims to maximize profit, with a profit of Rp30,000 per bottle for Scent, Rp17,000 for Aroma, and Rp19,000 for Fresh. Given the constraints on raw materials, linear programming is used to determine the optimal number of perfume bottles to produce in order to maximize the company's profit. The problem is solved using the Big-M method, which handles inequality constraints in the form of ≥ by adding artificial variables. In this approach, a very large penalty is assigned to artificial variables to ensure that these variables are not part of the optimal solution. The TORA software is used to perform the calculations and analysis in solving this problem. The results show that the company can achieve a maximum profit of Rp7,390,000.00 by producing the optimal number of perfume bottles. This method proves effective in solving resource allocation problems to maximize profit in a manufacturing context.
Utilization of the Nordic Body Map (NBM) for the Identification and Management of Musculoskeletal Disorders among Woodworkers Alan Firdaus
EXSACT-A Vol 3, No 1 (2025)
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/exc.v3i1.3874

Abstract

Musculoskeletal Disorders (MSDs) are common issues faced by woodworkers due to repetitive physical activities such as cutting, assembling, and finishing products. This study aims to identify the level of MSD complaints among woodworkers using the Nordic Body Map (NBM) method. This method evaluates physical complaints based on the affected body parts. The questionnaire results indicate that most complaints are experienced on the right side of the body, including the upper neck, lower neck, right shoulder, back, upper right arm, waist, lower right arm, right wrist, left calf, and left ankle. This is due to the dominant use of the right hand in work activities. The total score obtained is 53, categorizing the risk level as moderate, suggesting that corrective actions may be necessary in the future to reduce injury risk. The risk assessment using the Likert scale places woodworkers in the moderate risk category, indicating that ergonomic interventions can help alleviate their discomfort. Recommended improvements include posture adjustments, workspace modifications, and the use of ergonomic tools to reduce physical strain. The findings conclude that implementing NBM analysis can effectively identify and address MSD risks among woodworkers, ultimately enhancing workplace comfort, efficiency, and long-term productivity.
Ecological, Social, and Economic-Based Food Security in South Central Timor Regency, East Nusa Tenggara Hadi Hidayat; Nita Noriko; Taddeo Rusoke
EXSACT-A Vol 3, No 1 (2025)
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/exc.v3i1.5596

Abstract

Stunting is a major public health challenge in Timor Tengah Selatan Regency, East Nusa Tenggara, Indonesia due to ecological limitations and food insecurity that affect child nutritional status. This study analyzes the relationship between environmental carrying capacity, land-use suitability, and local food diversification as strategies to reduce stunting in Pana Village, Kolbano District, East Nusa Tenggara. The results showed that Pana Village experiences ecological constraints, including steep slopes, prolonged dry seasons, limited productive land, and varying soil quality. These conditions reduce agricultural productivity and limiting access to various nutritious food sources, contributing to chronic malnutrition. The study highlights the importance of integrating environmental management with nutrition-based strategies. Recommended interventions include conservation-based agriculture, community micro-irrigation systems, strengthening local institutions capacity, and the development of drought-resistant local crops. This integrated approach is essential to improve food security and child nutrition. This concludes that stunting reduction in Pana Village, Timor Tengah Selatan Regency requires synergy between ecological sustainability, agricultural resilience, and community-based nutrition programs.
Production Scheduling Strategy for Sports Shoes and Casual Shoes Using Linear Programming to Maximize Profit Hukhama, Abid Muhadzdzib
EXSACT-A Vol 3, No 1 (2025)
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/exc.v3i1.3825

Abstract

In the business world, especially the trade sector, efficiency in production planning is the main key in increasing profits. One of the challenges that is often faced is how to determine the optimal amount of production so that maximum profits can be obtained without exceeding the capacity of available resources. If production is not planned well, businesses can experience an imbalance between demand and production capacity, potentially causing operational inefficiencies and lost profit opportunities. Therefore, a systematic approach is needed to determine the most optimal production strategy. This research applies the Linear Programming (LP) method to develop a mathematical model for optimizing the production scheduling of sports shoes and casual shoes. The main objective of this model is to maximize company profits by considering the limited production time on the two main machines used. The decision variable in this model is the number of sports shoes (X₁) and casual shoes (X₂) that must be produced. The objective function used is Zmax = 30,000X₁ + 25,000X₂, with production time capacity limits for Machine A and Machine B of 40 hours and 50 hours per week respectively. The results of the model formulation show that the Linear Programming method is able to provide optimal solutions in determining the amount of production that produces maximum profits. By implementing this model, companies can allocate resources more efficiently, so that operations become more effective and profits can be optimized.
Analysis of Upper Body Working Posture among Minimarket Cashiers Using the Rapid Upper Limb Assessment (RULA) Method Risky Maulana Efendi
EXSACT-A Vol 3, No 1 (2025)
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/exc.v3i1.3879

Abstract

In the scientific field of ergonomics there is one study that studies work posture using one of the commonly used methods, namely Rapid Upper Limb Assessment (RULA), the study discusses the analysis of upper human body posture when working. In this study, we analyzed body posture when working in a job as a minimarket cashier, this analysis was carried out using the Rapid Upper Limb Assessment (RULA) method in order to find out whether the work causes Musculoskeletal disorders (MSDs). Health problems due to doing a job is something that will always be experienced. Lack of understanding of how to properly interact between humans and the work environment is a major factor in the emergence of these risks. One job that is commonly done and has a high probability of adverse risks is the Indomaret cashier employee. RULA (Rapid Upper Limb Assessment) is a method that aims to calculate and analyze the upper human body. The output of this method is a decision level that shows the urgency of the action needed. In the calculation results using the RULA method in this study, there is no significant difference in the decision weight. The final conclusion is to make immediate improvements and evaluations on the weight of high posture. Evaluation and improvement are recommended for the design and layout of the workplace because the posture of employees is influenced by the form of design, layout, and the length of working hours itself. It is hoped that the results of this study can be used as a way to improve employee health and avoid the adverse risks caused.
Inorganic Waste Management Strategy at Kebayoran Lama Market, Jakarta Rizka Shafira; Dewi Elfidasari; Nunung Nurhasanah
EXSACT-A Vol 3, No 1 (2025)
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/exc.v3i1.5592

Abstract

Research on inorganic waste management strategies at Pasar Jaya Area 11, Kebayoran Lama, Jakarta, revealed that 79% of inorganic waste (dominated by cans, cardboard, and plastic) is recyclable. However, utilization is hindered by suboptimal waste banks and insufficient 3R (Reduce, Reuse, Recycle) segregated waste facilities. A questionnaire survey of 150 respondents (75 merchants and 75 consumers) exposed regulatory knowledge gaps: only 16.7% of merchants comprehended national waste regulations (Law No. 18/2008 and Government Regulation No. 81/2012), while consumer awareness of DKI Jakarta's anti-littering regional regulation remained low (33.3%). Although 3R concepts were widely understood (merchants 100%; consumers 97.3%), implementation was constrained by inadequate infrastructure. Through mass balance analysis and strategy formulation using PROMETHEE software, priority strategies were identified: (1) Single-use plastic reduction (φ = +0.72) as the optimal solution offering high environmental impact and low cost, and (2) Economic incentives (e.g., retribution fee discounts for active recycling merchants) (φ = +0.65). Revitalizing waste banks with professional teams and adequate facilities is projected to increase waste reduction by up to 90%. Implementing these strategies requires deploying segregated waste bins, conducting waste management training, and fostering stakeholder synergy to advance circular economy principles and achieve 2030 SDGs (Goal 11: Sustainable Cities and Goal 12: Responsible Consumption and Production).
Maximum Profit Analysis of Backpack and Sling Bag Production Using the Revised Simplex Method with LINGO Software Azmiyatussyahzanani Mukmilah
EXSACT-A Vol 3, No 1 (2025)
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/exc.v3i1.3828

Abstract

Operations research is a quantitative approach that integrates science, mathematics, and logic to solve problems optimally, especially in managing limited resources. In this study, an experiment was conducted using the 2-phase method which aims to optimize production costs in a textile company that produces 2 types of fabrics. In this study, there are several main constraints faced by the textile company, namely the availability of cotton, water, and the time needed by the machine to produce two types of fabrics, namely cotton and silk. In the context of this study, the main constraints faced by textile companies include the availability of cotton, water, and machine time to produce two types of fabrics, namely cotton and silk. To achieve an optimal solution, mathematical modeling is carried out using the 2-Phase method, which consists of two stages: to ensure a feasible solution in the first stage and to find the optimal solution in the second stage. The analysis activity was carried out using TORA software to facilitate the iteration and calculation process. So that it can produce a more efficient and accurate solution than manual calculations. This study shows that the use of the 2 Phase method provides more efficient results so that a company achieves the desired target and also the appropriate cost. This experiment emphasizes the importance of a quantitative approach in decision making in the manufacturing industry so that a company can achieve optimal targets.

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