Publikasi Universitas Mercu Buana
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Analisis Usability Testing Aplikasi Stock Opname Menggunakan Metode System Usability Scale
PT. Lancar Wiguna Sejahtera adalah salah satu perusahaan ritel besar yang biasa disebut Lawson menggunakan aplikasi stock opname dalam membantu perusahaan dalam melakukan pemantauan stok barang secara efisien dan akurat. Ada beberapa masalah yang ditemukan dalam penelitian ini, terutama pada masalah usability atau kemudahan penggunaan aplikasi stock opname, masalah produktivitas karyawan yang disebabkan oleh desain yang kurang user-friendly, serta minimnya akurasi dalam penginputan data stok. Tujuan penelitian ini adalah menganalisis tingkat usability, mengidentifikasi masalah usability, dan memberikan rekomendasi perbaikan bila perlu untuk meningkatkan usability aplikasi. System Usability Scale (SUS) adalah metode yang digunakan dalam penelitian ini dan mendapatkan skor SUS sebesar 74,69. Berdasarkan hasil analisis berada pada percentile rank 71%, mendapatkan grade B, berada pada skala adjective "Good", dan termasuk dalam tingkat penerimaan yang acceptable. Pada skala NPS, aplikasi ini termasuk kategori pasif, di mana pengguna cenderung tidak merekomendasikan aplikasi ini kepada orang lain, namun tetap menggunakannya secara pribadi dalam lingkungan perusahaan. Dari hasil analisis skor SUS yang masih diatas standar sehingga tidak dilakukan desain ulang dan menyarankan untuk penelitian kedepannya dapat dilakukan dengan metode lain yang bisa menambahkan skor SUS agar aplikasi bisa lebih baik dan berkembang dari sebelumnya
Evaluasi Kinerja Kernel Linear, RBF, dan Polynomial pada Model Support Vector Machine untuk Prediksi Risiko Hipertensi
Hipertensi adalah penyakit tidak menular dengan angka kematian tinggi dan sering disebut “silent killer” karena gejalanya kerap tidak terlihat pada awalnya. Deteksi dini diperlukan untuk mencegah komplikasi seperti penyakit jantung dan stroke. Penelitian ini bertujuan mengevaluasi kinerja tiga kernel pada algoritma Support Vector Machine (SVM): Linear, Radial Basis Function (RBF), dan Polynomial. Ketiga kernel tersebut dipilih untuk mewakili karakteristik pemetaan data yang berbeda: kernel linear berguna untuk memisahkan data secara linier, kernel RBF dapat menangani pola nonlinier yang kompleks, dan kernel polynomial untuk memodelkan interaksi antar fitur dengan tingkat kedalaman tertentu. Dataset berasal dari Kaggle dan mencakup 4.240 entri dengan 12 fitur prediktor yang merepresentasikan kondisi klinis dan perilaku pasien. Hasil eksperimen menunjukkan bahwa SVM-Linear mencapai accuracy 87,26% dengan ROC-AUC 0,9518; SVM-RBF memperoleh accuracy 87,38% dengan ROC-AUC 0,9450; dan SVM-Polynomial menghasilkan accuracy 86,56% dengan ROC-AUC 0,9422. SVM-Linear merupakan model paling optimal berdasarkan kombinasi F1-score dan ROC-AUC karena memberikan keseimbangan terbaik antara ketepatan dan sensitivitas. Sementara itu, meskipun SVM-RBF mencatat accuracy tertinggi, peningkatannya tidak konsisten pada metrik lain, dan SVM-Polynomial menunjukkan performa sedikit lebih rendah karena kompleksitas model yang kurang sesuai dengan karakteristik data. Penelitian ini berkontribusi dengan memberikan analisis komparatif terkait performa berbagai kernel SVM dalam klasifikasi risiko hipertensi
Finite Element Analysis and Optimization of Medium Bus Frame Structure
Bus is a very important transportation for all people in the world. The majority of a bus that operates still uses non-renewable fuel. The conventional bus produces exhaust emissions that can damage the environment. Current research is about changing the conventional internal combustion engine bus into an electric bus, therefore it is necessary to test the strength of the frame structure to determine its strength after changing with the electric system. The objective of this current study is to analyze the bending strength and optimization of a medium electric bus frame structure using the Finite Element Method in static conditions. Optimization will be conducted after obtaining results of bending analysis to determine the minimum weight of the bus frame structure without violating bending strength. The results of the bending analysis are stress and displacement which will be used as a constraint in the optimization process. The optimization that will be used is size optimization. The design variable is the thickness of each bus frame structure. Results show that the weight of the structure is reduced by 12% without compromising on strength and safety requirements
Effect of Tannin-based Natural Corrosion Inhibitors from Biomass Wastes on Carbon Steel: A Review
Corrosion of carbon steel frames is a major concern in the automotive industry, especially for motorcycles that are often exposed to harsh environments. As an eco friendly alternative to synthetic chemical-based corrosion inhibitors, this study evaluates the effectiveness of corn husk extract as a natural, tannin-based inhibitor. Corn husks were selected due to their abundant availability as agricultural waste and their active compounds with potential anti-corrosion properties. The extract was obtained using maceration, reflux, and ultrasonic methods, and tested in corrosive solutions of NaCl, HCl, and H₂SO₄. The inhibitor’s effectiveness was assessed using weight loss measurements and surface morphology analysis. Results showed that corn husk extract reached up to 100% inhibition efficiency at a 600 ppm concentration, particularly in NaCl solution. The tannins and phenolic compounds in the extract played a crucial role in forming a protective layer on the carbon steel surface. These findings highlight the strong potential of corn husks as a green base material for corrosion inhibitors, while also promoting the use of biomass waste in developing sustainable corrosion protection technologies for the automotive industry
Design Of Automatic Citrus Fertilizer Irrigation System Based On Photocell Timer
Climate has a significant influence on nearly all aspects of plant growth, including that of citrus plants. To overcome the uncertain environment, a reliable irrigation system is essential in citrus gardens, with optimization achieved through the use of an automated irrigation system. The engineering of this automatic citrus garden fertilization irrigation system is carried out in groups on citrus plants using a photocell timer and PVC stop valve on each plant group path to facilitate maintenance and repairs if damage occurs to the automatic irrigation system without disrupting the main pipe irrigation system and other plant groups. This automatic irrigation system, in the driving engine and sprayer pump section, utilizes a machine and a sprayer pump with spare parts readily available in each region, thereby facilitating maintenance and repairs as needed. The machine and sprayer pump function to pump water and fertilizer that have previously been mixed in the mixing tank. Then the water and fertilizer will be distributed through the main pipe distribution line and the fertilization system pipe in groups using ½ inch PVC pipes and using a sprayer hose to the citrus trees. Engineering an automatic citrus fertilization irrigation system and processing carried out in groups on citrus plants will speed up the work of farmers in the garden, so that it can be more effective and more efficient, and save labo
Fuel Efficiency Evaluation of Automatic Motorcycles in Indonesia Using MATLAB-Based Clustering
The continuous rise in fuel prices in Indonesia has made fuel efficiency a crucial factor for consumers when selecting vehicles, particularly motorcycles. Automatic scooters with engine capacities below 160 cc have become increasingly popular in urban areas due to their fuel-saving benefits. This study aims to analyze the influence of engine capacity, vehicle weight, and engine torque on the fuel consumption of automatic scooters with engine capacities ranging from 109 cc to 156.9 cc. The study also considers additional performance parameters, including average fuel consumption, power output, and Power-to-Weight Ratio (PWR). Using statistical analysis and MATLAB-based modeling, the data were classified into three distinct clusters. Cluster 1 comprises scooters with engine capacities between 109 and 125 cc; Cluster 2 includes those with capacities between 150 and 160 cc; and Cluster 3 represents scooters with unique component specifications. The results show that Cluster 2 records the highest average maximum power output at 11.47 kW and torque at 14.25 Nm, while Cluster 1 has the lowest at 6.1 kW and 9.64 Nm, respectively. In terms of weight, Cluster 3 is the heaviest, averaging 129.33 kg, while Cluster 1 is the lightest at 96.14 kg. Fuel efficiency is highest in Cluster 1 at 55.3 km/l and lowest in Cluster 3 at 38.67 km/l. Comparative analysis using MATLAB confirms that scooters with lower engine capacities and weights tend to be more fuel-efficient, whereas higher engine capacities lead to increased torque, power, weight, and fuel consumption. These findings can guide consumers in selecting motorcycles that align with their usage needs and assist manufacturers in developing more efficient and high-performing scooters tailored to diverse market segments
IoT-Based Continuity Analysis of Oil Pipeline Leakages
Oil pipeline leaks pose a serious challenge due to their potential to cause significant economic losses and severe environmental damage. These incidents can disrupt industrial operations and endanger nearby ecosystems and communities. Early detection and real-time monitoring are therefore essential for minimizing adverse impacts and enabling rapid response. This research develops an Internet of Things (IoT)-based oil pipeline leak monitoring system using integrated multi-sensor data collected from field-simulated scenarios, providing a realistic evaluation of system performance under near-operational conditions. The system incorporates an ultrasonic sensor (HC-SR04) to measure fluid levels, a temperature sensor (DS18B20) to detect thermal anomalies, and a pressure sensor to identify internal pressure fluctuations. Sensor data are wirelessly transmitted via a NodeMCU ESP32 microcontroller to a web-based dashboard for remote monitoring, while local readings are simultaneously displayed on an LCD screen for on-site observation. The system was evaluated through controlled experiments simulating variations in pressure, temperature, and induced leak conditions. Results showed that the system achieved over 95% accuracy in leak detection, with a response time of less than 60 seconds upon leak initiation. The flow rate deviations under leak conditions exceeded the ±3% detection threshold, triggering real-time alerts. In non-leak scenarios, flow rates remained steady between 1.5–2.1 L/min, with tank level variations within 1 cm, confirming strong mass balance and stability. Overall, the developed IoT-based monitoring platform demonstrated high reliability and effectiveness in real-time leak detection, enabling faster response and significantly reducing potential environmental and operational impacts
STUDI TRANSFORMASI FUNGSI PADA BANGUNAN PECINAN SEBAGAI UPAYA PELESTARIAN DI JALAN PABEAN, AMPENAN, KOTA MATARAM
Kota Tua Ampenan merupakan pusat perniagaan sekaligus pelabuhan pada era kolonial Belanda. Sejarah yang melekat pada Kota Tua Ampenan membuatnya masuk ke dalam kawasan cagar budaya dalam Rencana Tata Ruang Wilayah Kota (RTRW) Kota Mataram dan Kawasan Strategis Kota (KSK). Sebagian besar bangunan merupakan milik swasta dengan kondisi fisik yang memprihatinkan. Masyarakat sekitar memiliki perhatian dan kesediaan untuk berpartisipasi dalam konservasi bangunan di lingkungan Kota Tua Ampenan, namun hanya dapat mewujudkannya sesuai dengan pengetahuan dan kemampuan yang terbatas. Penelitian ini menggunakan pendekatan kualitatif grounded theory untuk melihat bagaimana usaha pelestarian yang dilakukan pemilik dan penyewa bangunan, khususnya pada bangunan di sepanjang ruas Jalan Pabean, Kota Tua Ampenan. Ruas Jalan Pabean dahulu merupakan ruas jalan utama yang ramai dan menghubungkan Pelabuhan Ampenan, area perniagaan, dan area permukiman. Bangunan yang ada di sepanjang ruas jalannya memiliki langgam yang khas, yaitu bangunan pecinan dari era kolonial. Kesimpulan dari penelitian ini adalah pemilik dan penyewa berusaha melakukan usaha pelestarian dengan transformasi fungsi, dengan pendekatan preservasi, renovasi, dan tipe baru, yaitu pelestarian atmosferik, pendekatan yang menekankan pada penjagaan atmosfer bangunan terhadap kawasan Kota Tua Ampenan. Penjagaan terhadap atmosfer tersebut dilakukan dengan tujuan utama untuk mengembalikan suasana di sekitar area Kota Tua Ampenan seperti pada masa kejayaannya dahulu.
THE EFFECT OF REBRANDING AND BRAND SIGNATURE ON MAKO BRAND PERFORMANCE IN TANGERANG, MEDIATED BY BRAND REPUTATION
This study aims to identify and analyze the influence of rebranding, brand signature, and brand reputation on the performance of the Mako Cake and Bakery brand. This study uses a quantitative approach with a purposive sampling technique through a Google Forms questionnaire survey. The sample in this study was 357 Mako Cake and Bakery customers in the Tangerang area. The analysis technique used was Partial Least Square analysis using SmartPLS 3 software. The results of this study indicate that the Rebranding (X1) and Brand Reputation (M) variables have a significant positive effect on Brand Performance (Y). Conversely, Brand Signature (X2) does not have a significant effect on Brand Performance (Y). There is a significant positive indirect effect on Rebranding (X1) on Brand Performance (Y) through the mediation of Brand Reputation (M)
THE EFFECT OF WORKING CAPITAL CREDIT FINANCING OF REGIONAL GOVERNMENT BANKS ON THE VALUE OF THE SRI- KEHATI INDEX IN THE CONTEXT OF SUSTAINABLE FINANCE IN INDONESIA
Abstract – This study analyzes the impact of Working Capital Credit (KMK) financing by RegionalDevelopment Banks (BPD) on the SRI-Kehati Index, which reflects the sustainability performance ofindustrial sectors in Indonesia. Greenhouse gas emissions generated by industrial activities financedby KMK from BPD contribute to the climate change occurring in Indonesia. The study uses secondarydata, including documents, reports, and publications related to BPD financing in the industrial sector.The Vector Error Correction Model (VECM) method is employed to examine the long-term and short-term relationships between KMK financing in five key sectors—agriculture, mining, manufacturing,energy, and construction—and sustainability performance as measured by the SRI-Kehati Index. Theresults indicate that KMK financing by BPD contributes positively to sustainable development in theindustrial sector. The dependent variable used is the SRI-Kehati Index, which measures the social andenvironmental performance of companies, while the independent variables include the agriculture,mining, manufacturing, energy, and construction sectors. KMK financing by BPD can enhancecorporate sustainability performance by prioritizing sustainable business practices and recognizingcompanies that meet certain sustainability standards. Additionally, this financing encourages theadoption of environmentally friendly technologies and responsible business practices. Thus, KMKfinancing by BPD not only plays a role in economic growth but also contributes to climate changemitigation and environmental conservation.Keywords: Regional Development Bank, Bank Financing, Sustainability Performance, SRI-KEHAT