Publikasi Universitas Mercu Buana
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Evaluating the impact of autonomous material handling on the performance of production system: a simulation approach
No full textIn developing countries, low employment rates lead to manual material handling due to low labor costs. This article analyzes the impact of transitioning from semi-manual to fully automatic material handling systems by replacing the hand pallet system with AGV for transporting materials on the production floor. A simulation model was created to evaluate the impact of the transition on cost and quality. The model focuses on production lines with predetermined pathways and fixed working hours for workstations. The discrete event simulation was developed using ExtendSim. Queuing theory model is employed to assess the utilization of resources within the system. Three scenarios are developed: a human system, systems with 2 AGVs, and 3 AGVs.The findings suggest that systems with AGVs surpass human-operated systems in terms of system reliability, cost-effectiveness, and product excellence. The findings provide essential insights for management decision-making, specifically for deterministic production lines. The research findings emphasize the possibility of significant enhancements in production system performance by implementing autonomous material handling
Experimental investigation of the Moment Bolted Coupler (MBT) with steel on the bond strength under different monotonic pull-out tests
No full textThe bond strength between steel reinforcement bars and mechanical bolted couplers (MBT) is essential for the structural integrity of reinforced concrete structures. However, various pull-out test methods yield inconsistent results when assessing this bond strength. This research examines the impact of reinforcement bar diameter (12mm, 16mm, and 20mm) and three different pull-out test configurations (M1, M2, and M3) on the bond strength of MBT couplers. The M1 method, employing direct tensile loading and a standard clamp zone, consistently produced the highest bond strength values across all bar diameters. Its simplicity, reliability, and adherence to standardized procedures make it the preferred method for determining the maximum bond capacity of MBTs. While the M2 and M3 methods offer insights into coupler behavior under complex loading scenarios, they exhibit lower bond strength values compared to M1. The M1 pull-out test method is recommended as the primary method for evaluating the bond strength of MBT in practical applications, with M2 testing as a potential supplement for a more comprehensive understanding of coupler behavior
Human vs machine learning in face recognition: a case study from the travel industry
No full textThis research was conducted to help answer whether a machine learning simulation can replace the human ability to recognize human faces, especially under challenges under travel industry requirements. The human ability to recognize faces was evaluated using a series of questions in a survey. The questions challenged the human respondents to recognize faces under similar looks, with hair and makeup disguises, only part of the facial area, and under dark lighting conditions. At the same time, a histogram of oriented gradient (HoG) combined with a support vector machine (SVM) was built for machine learning simulations. The machine learning was evaluated using two datasets, i.e., the Extended Yale B (EYB) Face dataset for challenge under dark lighting conditions and The Extended Makeup Face Dataset (EMFD) for challenge using face with makeup disguise. The results showed that machine learning simulation of the face recognition system yielded accuracy as high as 95.4% under dark lighting conditions and 70.8% under facial makeup disguise. On the contrary, only 48% of respondents accurately recognized human faces in dark lighting. The number was increased to 94-96% when the face images were adjusted first with the contrast adjustment method. However, only 36-37% of respondents accurately recognized human faces under face makeup disguise.
Design of path planning robot simulator by applying sampling based method
No full textThis research aims to create a simulator for solving the global path planning of mobile robots. Various sampling-based methods such as Rapidly-exploring Random Tree (RRT), RRT*, and Fast-RRT, along with other derivative algorithms, have been widely used to solve path-planning problems in mobile robots. The level of computational efficiency, path optimality, and the ability to adapt to variant environments are some of the issues that still arise, although these techniques have shown good results in many cases. Although the existing solutions are innovative, comparison between the existing methods is still difficult due to significant differences in convergence speed, implementation complexity, and quality of the resulting paths. This makes choosing the most suitable method for a particular application difficult. The simulator uses sampling-based path planning algorithms such as RRT*, Fast RRT*, RRT*-Smart, informed-RRT*, and Honey Bee Mating Optimization-based Fast-RRT*. With this simulator, users can easily compare the performance of each algorithm and see the characteristics and efficiency of each algorithm in various situations. By running all methods through this simulator, the user can easily compare the methods based on convergence speed and optimality. Therefore, it will effectively help users understand robot navigation, improve the quality of learning, and promote the development of path-planning technology for mobile robots
A systematic review of methods for reducing embodied energy in building materials: a quantitative cradle-to-gate analysis
No full textReducing embodied energy (EE) in building materials is a critical aspect of achieving sustainable building construction. Embodied energy refers to the total energy consumed in the extraction, processing, transportation, and manufacturing of building materials before they reach the construction site. In conventional buildings, total energy consumption is predominantly influenced by operational energy (OE), which includes energy used for heating, cooling, lighting, and ventilation throughout the building’s lifespan. However, in energy-efficient buildings, the proportion of EE to total energy demand becomes more significant, sometimes equaling or surpassing OE. This shift highlights the growing importance of minimizing EE in sustainable building design. This study conducts a systematic review using the PRISMA framework, extracting relevant data from the Scopus database to categorize methods for reducing EE within cradle-to-gate systems. These methods are classified into three phases: the material phase, the construction method phase, and the design phase. The material phase includes three approaches: mixed material intervention, production process intervention, and material substitution. The construction method phase encompasses two approaches: building component substitution and process or method substitution. Finally, the design phase focuses on interventions at the building design level. Despite these classifications, the findings suggest that no single phase or approach demonstrates a significantly greater impact on EE reduction than the others. Each approach contributes comparably to reducing EE, highlighting that while notable progress has been made, the relative effectiveness of individual methods remains consistent across phases. Integrated approaches combining strategies across multiple phases hold promise for substantial reductions in EE, emphasizing the need for future research to refine and innovate these methodologies.
Studi Perencanaan Pembangkit Listrik Tenaga Surya Di Atap Rumah Tinggal Dengan Menggunakan Software Helioscope
No full textSumber energi alternatif yang sekarang sedang dikembangkan di Indonesia adalah energi yang ramah lingkungan seperti pemanfaatan sinar matahari sebagai sumber energi listrik. Meningkatnya penggunaan energi listrik dan semakin berkurangnya energi listrik yang berbahan bakar fosil adalah peluang agar pembangkit listrik yang lebih ramah lingkungan dapat berkembang dengan pesat. Pembangkit Listrik Tenaga Surya (PLTS) adalah pembangkit listrik yang mengubah sinar matahari menjadi energi listrik, salah satu konfigurasi yang digunakan adalah sistem on-grid. Kajian ini membahas berbagai aspek sistem PLTS, investasi dan ekonomi biaya, serta perencanaan dengan menggunakan software Helioscope. Penelitian ini menggunakan modul monocrystalline 300 Wp sebanyak 40 modul dan sebuah inverter berkapasitas 10.550 kW. Parameter kelayakan ekonomi yang digunakan adalah net present value (NPV). Dari hasil perhitungan, biaya investasi awal sistem PLTS yang direncanakan adalah Rp. 143.295.000, untuk biaya operasi dan pemeliharaan Rp. 1.432.950/tahun. Untuk biaya energi (Cost of Energy) Rp 1.104/kWh. Hasil analisa kelayakan investasi yang telah dilakukan pada penelitian ini menunjukkan bahwa NPV memiliki nilai sebesar Rp. 121.522.919, dari hasil perhitungan yang sudah dilakukan tersebut menunjukkan nilai yang sangat positif maka investasi yang akan dilakukan untuk proyek PLTS ini layak untuk dilanjutkan.
Pengembangan Relai Adaptif Proteksi Busbar Menggunakan Relai Berbasis Protokol IEC61850
No full textKebutuhan manusia akan energi listrik bisa dikatakan mendekati kebutuhan primer. Sejalan dengan hal tersebut, PLN sebagai operator listrik di Indonesia, harus menjamin keandalan pasokan listrik. Upaya yang dilakukan adalah dengan memastikan tidak terjadinya gangguan meluas pada sistem penyaluran energi listrik. Gangguan pada busbar gardu induk yang belum terpasang proteksi busbar dapat menyebabkan gangguan meluas. Sesuai dengan Peraturan Menteri ESDM nomor 20 tahun 2020, seluruh busbar tegangan tinggi atau tegangan ekstratinggi yang tersambung ke jaringan transmisi harus dilengkapi dengan proteksi busbar. Penerapan dan pemasangan proteksi busbar membutuhkan biaya besar. Aspek biaya ini menyebabkan relai proteksi busbar belum 100% terpasang pada gardu induk yang dikelola oleh PLN. Salah satu contoh Gardu Induk yang belum terpasang relai Proteksi Busbar adalah Gardu Induk 70 kV Indramayu. Belum terpasanyanya relai busbar proteksi dapat disiasati dengan melakukan optimalisasi relai yang telah terpasang, untuk disetting sebagai relai adaptif proteksi busbar. Metode tersebut membutuhkan komunikasi seluruh relai yang terpasang di Gardu Induk tersebut dengan pengambilan data menggunkaan Goose Message (salah satu fungsi Protocol IEC 61850). Fitur komunikasi tersebut telah tersedia pada relai yang telah terpasang namun belum dimanfaatkan secara optimal. Dengan pemasangan relai adaptif proteksi busbar berbasis Protocol IEC 61850 diharapkan dapat mencegah pemadaman meluas di gardu induk jika terjadi gangguan pada busbar
Rancang Bangun Alat Pengukur Tekanan Darah Untuk Deteksi Tingkat Risiko Cardiovascular Disease Dengan Metode Fuzzy Logic Mamdani Berbasis IoT
No full textHampir 3 dari 4 kematian yang terjadi di dunia disebabkan oleh penyakit tidak menular (WHO, 2022). Sekitar 73% kematian di Indonesia disebabkan oleh penyakit tidak menular dan cardiovascular disease menyumbang angka tertinggi sebesar 35% (WHO,2018). Cardiovascular disease merupakan penyakit tidak menular namun penderita penyakit tidak menular seringkali tidak menyadari dirinya mengidap penyakit hingga tanda, gejala, dan komplikasi muncul. Penelitian ini bertujuan merancang sistem Pengukur Tekanan Darah untuk Deteksi Tingkat Risiko Cardiovascular disease dengan Metode Fuzzy logic Mamdani Berbasis IoT. Prinsip kerja dari prototipe ini adalah mengukur tekanan darah menggunakan sensor tekanan MPX5050GP kemudian dengan keypad 4x4 digunakan untuk menginputkan parameter-parameter yang turut menjadi sebab dalam meningkatkan risiko cardiovascular disease yaitu tingkat kolesterol dan indeks massa tubuh. Data yang diperoleh selanjutnya akan ditampung kemudian diolah dengan fuzzy logic menggunakan metode mamdani untuk mendapatkan nilai tingkat risiko cardiovascular disease kemudian hasilnya akan ditampilkan pada LCD 16x2 dan dikirim secara wireless serta ditampilkan pada Platform IoT ThingSpeak. Pengolah data menggunakan Mikrokontroler ATMega328 yang sudah tertanam pada Arduino Uno serta ESP32 sebagai internet of things. Berdasarkan analisa dan pengujian yang telah dilakukan didapatkan hasil akurasi pengukuran tekanan darah pada rancang bangun adalah sebesar 98,2% untuk pengukuran tekanan darah sistol dan 97,83% untuk pengukuran tekanan darah diastol. Waktu tunda rata-rata ketika ESP32 mengirim data dan IoT Platform ThingSpeak menampilkan data sebesar 15,6 detik. Hasil akurasi untuk memprediksi risiko cardiovascular disease pada rancang bangun yang dibandingkan dengan perhitungan fuzzy logic dengan metode Mamdani pada Matlab adalah sebesar 99,69%
Prioritizing Franchise Expansion with AHP: Strategic Evaluation of Special Product Placement in Minimarkets
No full textThis study examines the strategic decision-making process involved in expanding franchise minimarkets by pinpointing optimal locations for launching special product offerings. Utilizing the Analytical Hierarchy Process (AHP), the research assesses eight alternative location types to establish priority rankings based on various decision criteria. Data were gathered through structured questionnaires administered to expert respondents, and pairwise comparisons were performed to evaluate the relative importance of both criteria and alternatives. The analysis identifies rest areas on toll roads as the most advantageous locations for expansion, followed by vertical residential complexes and office buildings. Among the criteria, potential customer volume and daily traffic flow proved to be the most influential factors in the decision-making process. Consistency ratio analysis verified the reliability of the AHP model. These findings offer actionable insights for franchise operators, highlighting the importance of targeting high-traffic locations to improve sales performance and operational efficiency. The study concludes that prioritizing rest area locations can significantly facilitate strategic growth and the effective placement of special products within existing minimarkets
Asean Sharia Stocks Amidst The Fed's Policy Dynamics
No full textStudi ini menganalisis volatilitas imbal hasil saham Islam di empat negara ASEAN (Indonesia, Malaysia, Thailand, dan Singapura) dalam kaitannya dengan kebijakan suku bunga The Fed. Memanfaatkan data bulanan yang dikumpulkan dari Januari 2014 – Desember 2023 dengan menerapkan model GARCH (Generalized Autoregressive Conditional Heteroskedasticity) dan derivatifnya. Hasil analisis menunjukkan bahwa perubahan suku bunga The Fed tidak signifikan terhadap imbal hasil saham Islam di keempat negara tersebut. Namun, volatilitas imbal hasil dipengaruhi secara signifikan oleh faktor-faktor lain, seperti varians lag dan perubahan residual dari periode sebelumnya, yang menunjukkan persistensi volatilitas. Hasil ini menunjukkan bahwa pasar saham Islam ASEAN memiliki karakteristik unik yang relatif tahan terhadap kebijakan suku bunga global, meskipun masih dipengaruhi oleh dinamika pasar domestik dan faktor historis. Studi ini berkontribusi untuk memberikan wawasan bagi para pembuat kebijakan dan investor mengenai pengelolaan volatilitas di pasar saham Islam. Pengembangan lebih lanjut dapat mencakup analisis di negara lain dan memperluas variabel ekonomi makro untuk memberikan gambaran yang lebih komprehensif