e-Jurnal ITATS (Institut Teknologi Adhi Tama Surabay)
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Performance Enhancement of Motorcycle Engines Using Lemongrass Oil-Based Fuel Additive
Get PDFThe increasing number of motor vehicles has led to higher fuel consumption, especially among two-wheeled vehicles, contributing to elevated emissions of hydrocarbon (HC) and carbon monoxide (CO). This study investigates the potential of lemongrass oil (LO) as natural additive to reduce exhaust emissions from RON 92 fuel. The LO was extracted via maceration and characterized by its physical properties, including density (0.893 g/mL), viscosity (5.30 mPa.s), and boiling point (222 °C), consistent with pure LO standards. The additive as then blended into RON 92 fuel in concentration of 10 mL, 15 mL, and 20 mL per 1000 mL of fuel to determine its optimal performance. Results showed that a 20 mL addition yielded the highest reduction in HC and CO emissions, respectively 49.76% and 46.24%. Furthermore, engine performance improved, with power increasing by 0.27 HP and torque by 0.21 Nm within an engine speed range of 5200-5700 rpm. These outcomes suggest that LO enhances combustion efficiency and reduces emissions. The findings highlight the potential of LO as an environmentally friendly fuel additive and supprt ongoing efforts to develop sustainable alternatives to conventional fossil fuels in Indonesia
Pengaruh Rasio Asam Sitrat dan 4-carboxy-3-chlorobenzene boronic acid terhadap Quantum Yield dari Graphene Quantum Dots
No full textThis study investigates the effect of citric acid (CA) and 4-carboxyl-3-chlorobenzeneboronic acid (CBBA) ratio on the Quantum Yield (QY) of Graphene Quantum Dots (GQDs). The hydrothermal synthesis method was employed with various CA/CBBA molar ratios, and the optical properties were analyzed using UV-Vis and photoluminescence (PL) spectroscopy. The results show that increasing the CBBA ratio enhances fluorescence efficiency, with the highest QY of 5.075% obtained at a 1:5 ratio. The addition of CBBA improves surface passivation and reduces non-radiative recombination sites, thereby optimizing the photoluminescence properties. Furthermore, precursor ratio variation influences particle size and functional groups, affecting the solubility and stability of GQDs. These findings highlight the role of CBBA in controlling exciton recombination, making GQDs more efficient for optoelectronic, bioimaging, and biomedical applications. Further studies are needed to explore the long-term effects of CBBA doping on fluorescence stabilit
KAJIAN PEMISAHAN MINYAK - LEMAK PADA LIMBAH BUATAN DENGAN MENGGUNAKAN TEKNOLOGI DISSOLVED AIR FLOTATIONS (DAF)
No full textAn oil spill in seawater can pose a significant problem for the process of converting seawater into clean or drinking water. The separation of oil and fats must be carried out as an initial stage (pre-treatment) in the clean or drinking water treatment process. The Dissolved Air Flotation (DAF) system is an appropriate technology for removing oil and fats from raw water, utilizing aeration to create air bubbles in the water that lift the oil and fats to the surface for separation. Seawater characterization includes physical, chemical, and microbiological properties. The research variables in this study include initial oil concentrations (25 mg/L, 50 mg/L, and 100 mg/L), air supply pore sizes (0.5 mm, 1 mm, and 1.5 mm), air supply pressures (0.005 MPa, 0.01 MPa, and 0.015 MPa), and aeration times (30 minutes, 60 minutes, 90 minutes) in the DAF reactor to determine the effect of these variables on oil removal efficiency. Increasing the initial oil concentration leads to a higher pollutant load in the DAF flotation system, resulting in a decrease in the efficiency of the DAF process. On the other hand, smaller air supply pore diameters play a crucial role in increasing oil removal efficiency, as the reduction in pore size significantly impacts the formation of microbubble sizes, thereby providing a larger surface area to lift oil particles from the feed solution
Penggunaan Aplikasi ICT Kahoot! untuk Evaluasi Formatif PAI di SMA Miftahul Ulum Tenggarong 2025
Get PDFKegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kemampuan guru dan siswa dalam memanfaatkan informasi teknologi melalui penggunaan aplikasi Kahoot! sebagai alat evaluasi formatif dalam pembelajaran Pendidikan Agama Islam (PAI) di SMA Miftahul Ulum. Metode pelaksanaannya dilakukan secara sistematis melalui tujuh tahapan, yaitu observasi, identifikasi, sosialisasi, pelatihan, implementasi, evaluasi, dan pelaporan. Kegiatan ini melibatkan guru dan peserta didik dalam pelatihan pembuatan serta penggunaan kuis interaktif berbasis Kahoot!. Hasil pelaksanaan menunjukkan bahwa penerapan Kahoot! Mampu meningkatkan motivasi belajar siswa, memperkuat partisipasi aktif, serta membantu guru melaksanakan evaluasi formatif menarik secara dan efektif. Selain itu, kegiatan ini juga berkontribusi dalam meningkatkan literasi guru digital, keterampilan teknologinya, dan kemampuan menyesuaikan diri dengan pembelajaran berbasis ICT. Secara keseluruhan, kegiatan ini berhasil mendorong proses pembelajaran yang lebih kreatif, interaktif, dan menyenangkan tanpa meninggalkan nilai-nilai keagamaan, serta menjadi contoh penerapan inovasi teknologi yang relevan untuk meningkatkan kualitas pembelajaran PAI di sekolah menengah
Effectiveness of Reducing Ammonia Levels in Hospital Wastewater Using A Combination of Bagasse Bio Adsorbent and Nanofiltration Membrane
Get PDFThe increasing environmental impact caused by hospital wastewater, particularly due to its ammonia content, necessitates innovative treatment methods. This study investigates the effectiveness of a combination of sugarcane bagasse-based activated carbon bio-adsorbent and nanofiltration membrane technology to reduce ammonia concentrations in hospital wastewater. The activated carbon was produced through carbonization at 550°C and chemical activation using 10% H2SO4. Adsorption experiments were conducted by varying bed heights (5, 7.5, and 10 cm) and flow rates (2, 3, and 4 L/min), followed by nanofiltration at 25, 30, and 35 Psi pressures. Results showed that the combined treatment reduced the wastewater pH from 9.08 to 6.53 and ammonia concentration from 4.61 mg/L to 0.02 mg/L, successfully meeting regulatory standards. This indicates that the integrated method effectively decreases ammonia levels and improves wastewater quality before discharge
Ad-Hoc Business Intelligence for Agile Decision-Making: A Case Study Using Adventure Works 2022
Get PDFAgile decision-making in today's business is highly crucial for an organisation to stay competitive. Business intelligence has overcome the situation to provide solutions in any crucial condition. Unlike the static dashboard, the ad hoc dashboard is considered to be a viable solution in tailoring business to make a data-driven decision with a high flexibility. This study aims to examine and implement ad-hoc dashboards using the Adventure Works 2022 dataset. The result of the study shows that both dashboards implement interactive filtering, drill-down capabilities, and real-time visualization to enhance data-driven decision-making agility. The design of dashboard A provides a structured, multi-dimensional view suitable for in-depth analysis; meanwhile, dashboard B prioritises simplicity and accessibility, presenting key insights intuitively for quick decision-making. Furthermore, the study highlights the result that the biggest challenges of building a dashboard are information overload and usability. It is important to note that the implementation of ad-hoc BI should balance between analytical capabilities and user-friendliness to ensure that dashboards provide meaningful insights and are easy to use by end users. Keywords: Ad-hoc BI, Agile Decision Making, BI Dashboar
Perbandingan Model Decision Tree, Support Vector Machine dan K-Nearest Neighbors untuk Memprediksi Kualitas Air Minum
Get PDFThe need for drinking water is increasing so that appropriate method support is needed to determine water potability. In this study, machine learning models will be implemented including Decision Tree, Support Vector Machine, and K-Nearest Neighbors to determine the best model in classifying drinking water quality from the Kaggle Water Quality dataset. The dataset consists of 3,276 data with 9 parameters consisting of ph, Hardness, Solids, Chloramines, Sulfate, Conductivity, Organic_carbon, Trihalomethanes and Turbidity, and one Potability attribute as a target that indicates the feasibility of consumption. This study will apply several machine learning models consisting of Decision Tree, Support Vector Machine, and K-Nearest Neighbors. Based on the results of the trial using 20% and 30% testing data, the results are close to the same for the confusion matrix model evaluation metrics (Accuracy, F1 Score, Precision and Recall). So it can be concluded that the Decision Tree classification model gets the best Accuracy value among other classification models of 70.50% on 20% testing data and 70.98% on 30% testing data. However, the one chosen as the final classification model is Support Vector Machine because it has the highest value by meeting three requirements with F1 Score, Precision and Recall values of 82.40% each) from the four requirements tested
Risk Mitigation of Workplace Accidents in Oil Palm Plantations Using the HIRADC and FTA Approaches (Case Study: PT. XYZ)
Get PDFThis study addresses the mitigation of occupational accident risks in oil palm plantations using the Hazard Identification, Risk Assessment, and Determining Control (HIRADC) and Fault Tree Analysis (FTA) approaches. A case study was conducted at PT. XYZ with the aim of identifying potential hazards, assessing risk levels, and determining effective control measures to reduce workplace accidents. The HIRADC method was used to identify and assess the risk levels of various work activities in the plantation, while FTA was applied to analyze the root causes of workplace accidents in depth. The results of the study indicate that the main hazards in the plantation include the use of heavy equipment, contact with chemicals, and hazardous environmental conditions. The proposed mitigation measures include safety training, the use of appropriate personal protective equipment (PPE), and enhanced supervision in operational procedures. The implementation of HIRADC and FTA has proven effective in significantly reducing the level of workplace accident risks
Penerapan Arsitektur Industrial Pada Perancangan Pusat Pengolahan Dan Perdagangan Besi Tua Dan Loak Di Surabaya
Get PDFDalam kehidupan sehari-hari banyak ditemui masalah lingkungan seperti banyaknya sampah yang berserakan dan kerapkali tidak diperhatikan penanganannya. Salah satunya adalah barang rongsokan yang masih layak jual. Maka dari itu proyek ini bertujuan untuk menangani permasalahan pengelolaan dan pemasaran barang rongsok di daerah kota Surabaya dengan merancang pusat besi tua dan loak. Pasar ini dirancang menggunakan konsep desain Arsitektur Industrial bertujuan untuk menekankan pada fungsi, keamanan dan pertimbangan ekonomi/biaya. Tampilannya sederhana sebagai wadah aktivitas industri. Untuk memunculkan kesan industrial yang lebih kuat maka dibuat pemilihan bentuk geometrik dan garis-garis tegas, penyesuaian warna-warna asli material maupun warna monokrom, menggunakan material mentah, serta ekspos sistem utilitas tanpa plafon. Sebagai bentuk penerapan aspek fungsional dan efisien, elemen industri serta materialnya (Hamdani dan Hantono, 2021: 27). Dengan proyek ini diharapkan akan menjadi wadah bagi pengepul, pedagang dan pembeli rongsokan yaitu besi tua dan loak di Surabaya. Dalam penelitian ini digunakan metode kualitatif dan studi banding, hal tersebut dikarenakan butuhnya data identifikasi, studi lapangan dan studi literatur yang bersifat induktif guna menemukan sebuah konsep rancangan. Dalam hal ini pembangunan Pusat Besi Tua Dan Loak tersebut sebagai upaya mempertimbangkan kesehatan dan kelestarian lingkungan karena tidak selamanya barang rongsok harus berada di kotak sampah. arang rongsok bisa menjadi peluang untuk menjadi lahan pekerjaan bagi orang yang mampu melihat peluang bisnis, serta kreatifitas dan inovasi tinggi. Dibuatnya pusat besi tua dan loak ini diharapkan dapat mewadahi aktifitas pengepul, pengelola, pedagang dan pembeli, tentunya juga mengangkat ekonomi masyarakat sekitar dan mensejahterakan pengepul
Anisotropic Deformation Mechanism in the Twin-Tube Tunnel Sections: Empirical Insight from Multi-Point Displacement Monitoring
Get PDFThis study evaluates the stability of a twin-tube tunnel through a combined approach of rock mass classification, numerical modeling, and real-time deformation monitoring. The rock mass along the tunnel alignment was characterized using the Rock Mass Rating (RMR) system, incorporating physical, geological, and geotechnical data from the project site. Support systems were designed for each geotechnical unit based on RMR and the Q-system support chart. Field monitoring was conducted over one year using a Leica TS09 tachometer and 3D displacement monitoring targets installed at the top heading and invert/bench, with data processed via Amberg Tunnel 2.0 software. Complementing the field measurements, 2D numerical analyses were performed to assess the left portal slope stability (Slide 6.0 software) and provisional support behavior (Phase2 2D program). The numerical results were validated against in-situ monitoring data, demonstrating strong agreement. The study confirms effective rock mass deformation control and satisfactory confinement stability, highlighting the reliability of the integrated methodology for tunnel stability assessment