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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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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 17 Documents
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Search results for , issue "vol 3, no 1 (2025)" : 17 Documents clear
Model Program Linier Penjualan Produk Eskrim Cokelat dan Eskrim Chocomint Universitas Al-Azhar Indonesia Chiko Alviaro Nurjaman; 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.v3i1.3819

Abstract

Optimalisasi produksi merupakan faktor penting dalam meningkatkan efisiensi dankeuntungan suatu usaha, terutama di sektor kuliner. Penelitian ini bertujuan untuk menerapkan metodeprogram linier dalam menentukan jumlah produksi optimal es krim cokelat dan es krim chocomint yangdijual di lingkungan Universitas Al-Azhar Indonesia. Dengan mempertimbangkan keterbatasan sumberdaya seperti susu, gula, bubuk cokelat, daun mint, chocochips, krim, dan dark chocolate, penelitian inimembangun model matematis yang terdiri dari variabel keputusan, fungsi kendala, dan fungsi tujuan.Model program linier yang diformulasikan dalam penelitian ini bertujuan untuk memaksimalkankeuntungan pedagang dengan mempertimbangkan batasan ketersediaan bahan baku. Penyelesaianmodel dilakukan menggunakan metode grafik dan metode Simplex untuk mencari kombinasi produksiyang paling menguntungkan. Hasil penelitian menunjukkan bahwa dengan menggunakan pendekatanprogram linier, pedagang dapat menentukan strategi produksi yang lebih optimal. Optimasi inimemungkinkan penggunaan bahan baku yang lebih efisien, mengurangi limbah produksi, sertameningkatkan keuntungan dibandingkan strategi produksi tanpa perhitungan matematis. Selainmemberikan solusi bagi pedagang dalam menentukan keputusan produksi yang lebih efektif, penelitianini juga berkontribusi dalam bidang akademik, khususnya dalam penerapan riset operasi untuk usahakecil dan menengah. Studi ini menunjukkan bahwa pemodelan program linier dapat menjadi alat yangberguna dalam membantu pengambilan keputusan berbasis data. Penelitian lebih lanjut dapatdilakukan dengan mempertimbangkan variabel lain, seperti fluktuasi harga bahan baku dan permintaanpasar, guna meningkatkan keakuratan model optimasi yang dikembangkan
Application of the Graphical Method to Determine the Maximum Profit of XYZ Furniture Store 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.v3i1.3858

Abstract

The furniture industry encompasses various activities, from raw material processing to the production of finished goods. XYZ Furniture Store faces challenges in determining the optimal production quantities of wooden tables and chairs to maximize profits while managing limited resources such as raw materials and production time. This study aims to analyze and find an optimal solution using the graphical method in Linear Programming (LP). The methodology includes problem identification, data collection on per-unit profit, raw material requirements, and production time per product. A mathematical model is developed with an objective function to maximize profit and constraints reflecting available resource limitations. The graphical method is applied by visualizing constraints in a two-dimensional graph to determine the feasible area and evaluating extreme points to identify the optimal solution. The findings indicate that the optimal production quantities are 16.8 units of tables and 6.6 units of chairs per day, yielding a maximum profit of Rp1,104,000. The graphical method proves to be an effective approach for solving optimization problems involving two decision variables—table and chair production—affected by raw material limitations of 30 kg per day and a maximum production time of 40 hours per day. The conclusion of this study provides strategic recommendations for XYZ Furniture Store to enhance production efficiency and profitability. These findings also highlight that Linear Programming is a valuable analytical tool for making production decisions in the furniture industry with constrained resources.
Gage R&R Repeatability and Reproducibility Analysis on Wafer Chocolatos Length Measurement Muhammad Naufaldi Rasyid; Hikmal Abrar; Budi Aribowo
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.v3i1.5518

Abstract

This study aims to evaluate the reliability of a measurement system using the Gage Repeatability and Reproducibility (Gage R&R) method on Chocolatos wafer length measurements. The experiment involved three appraisers, each measuring five wafers with three repeated trials. The collected data were processed through several steps to determine repeatability (EV), reproducibility (AV), and overall measurement system capability (%R&R). The results showed that the %R&R value was 95%, indicating that the gage system is not satisfactory. Furthermore, the repeatability value was higher than the reproducibility value, which suggests that the main source of measurement variation comes from the measuring instrument. Therefore, the gage requires maintenance and possibly redesign. This research highlights the importance of proper calibration and system evaluation to ensure measurement accuracy and reliability.
Metagenomic Analysis of Soil Bacteria Community Planting Pattern Effect of Rubber-Ganyong Agroforestry System and Rubber Monoculture Cut Riska Arista; Hidayat Yorianta Sasaerila; Yunus Effendi
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.v3i1.4434

Abstract

Plantation land with agroforestry is one alternative to reduce the adverse effects of reduced soil fertility quality and loss of microorganism biodiversity. The diversity and abundance of soil microbial communities leads to better nutrient availability in rubber-canna intercroppingg fields than in rubber monoculture lands. Intercroppingg planting patterns containing rhizosphere bacteria beneficial for fertility and availability nutrition and superior phytohormone promoters. Comparison of the presence of bacteria in intercroppingg and monoculture soil soils using metagenomic analysis of 16S rRNA gene sequencing with Bioinformatics method. Analysis of the diversity and abundance of microorganisms using an alpha-diversity matrix of Chao1 and Shannon_E index types. Phylum Proteobacteria were found, which is one of the rhizosphere bacteria whose abundance according to alpha-diversity analysis data reached 49% in intercroppingg and 27% in monoculture fields. Some bacteria of the phylum proteobacteria are: Azospirillum sp., B. zhanjiangense, Phenylobacterium Pseudolabrys sp.  it is reported to play a role in the cycle of improving the quality of soil fertility. In the rubber-canna intercroppingg system, the abundance and microbial communities available on the intercroppingg land are higher in abundance and have specific functions compared to monoculture systems. Therefore the abundance of rhizosphere bacteria produces a more maximal mechanism.
Proposed Improvements to Occupational Health and Safety (OHS) Using Failure Modes and Effects Analysis and Fault Tree Analysis at Ruang Klambi Garment Workshop Alifah Almas; Mika Sesarina; Muhammad Bintang Naufal; Muhammad Daffa Syauqi; Aprilia Tri Purwandari
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.v3i1.4508

Abstract

The garment industry is a crucial sector in the production of clothing and textiles, which supports societal needs. However, its production processes, involving various types of machinery and work tools, pose significant health and safety risks to employees. These risks need to be well managed to ensure workplace safety and to prevent potential accidents that could harm both employees and the company. This study was conducted at Ruang Klambi, a small garment industry located in South Tangerang. The purpose of the study is to identify and analyze potential workplace accidents and provide recommendations for improvements to enhance occupational health and safety (OHS). In this research, two main methods were used for hazard identification: Failure Modes and Effects Analysis (FMEA) and Fault Tree Analysis (FTA). Through FMEA, 44 potential accidents were identified across 9 work activities in the clothing and textile production process. Subsequently, FTA was used to identify the root causes of these potential accidents. The analysis revealed 42 root causes, which were then simplified to 34 main root causes after the cutset process. Based on these root causes, recommendations were developed focusing on the prevention and control of potential workplace accidents. The implementation of these improvement recommendations is expected to significantly enhance the level of OHS at Ruang Klambi, creating a safer and more productive work environment for all employees.
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.

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