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Design of a Classroom Noise Monitoring Tool Using a KY-037 Sound Sensor Based on Wemos D1R1 使用基于 Wemos D1R1 的 KY-037 声音传感器设计教室噪音监测工具
Pub Date : 2023-11-15 DOI: 10.23960/jemit.v4i4.118
Raden Ayu Nurfadhillah Rifqah, S. W. Suciyati, A. Surtono, G. A. Pauzi
The noise level in the room is one of the factors that can influence teaching and learning activities. Research on classroom noise levels has been done using the Wemos D1 R1-based KY-037 sound sensor. This research aims to determine the noise level in the classroom and be able to monitor the noise level in the room. Data collection was carried out by sound detection in the classrooms of SMA Negeri 13 Palembang from 07.00 – 12.00 WIB for seven days. The research results show that the system is functioning well, indicated by the situation when the noise level is less than 45 dB, and the LED lights up. When the noise level is more than or equal to 45 dB, then the yellow LED, mini DFPlayer, and speaker will light up, and when the noise level is more than or equal to 55 dB, then the red USB LED, mini DFPlayer, and speaker will light up. Data on noise levels and LED conditions received can be monitored via the web server. The system used on the web server is localhost access on a computer that can be monitored within the school environment.
室内噪音水平是影响教学活动的因素之一。我们使用基于 Wemos D1 R1 的 KY-037 声音传感器对教室噪音水平进行了研究。这项研究旨在确定教室内的噪音水平,并能够监测教室内的噪音水平。数据收集是通过声音检测在巴伦邦 SMA Negeri 13 的教室中进行的,时间为 7.00 - 12.00 WIB,为期 7 天。研究结果表明,当噪音水平低于 45 分贝时,LED 灯亮起,表明系统运行良好。当噪音水平大于或等于 45 dB 时,黄色 LED、微型 DFPlayer 和扬声器会亮起;当噪音水平大于或等于 55 dB 时,红色 USB LED、微型 DFPlayer 和扬声器会亮起。可通过网络服务器监控接收到的噪音水平和 LED 状态数据。网络服务器使用的系统是本地主机访问计算机,可在学校环境内进行监控。
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引用次数: 0
Extraction of Nanocellulose from Softwood Pine (Pinus merkusii) using Acid Hydrolysis Method 用酸性水解法提取软木松(Pinus merkusii)中的纳米纤维素
Pub Date : 2023-11-15 DOI: 10.23960/jemit.v4i4.186
Anisyah Anggraini
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引用次数: 0
The Influence of Heatmap Correlation-based Feature Selection on Predictive Modeling of Low Alloy Steel Mechanical Properties Using Artificial Neural Network (ANN) Algorithm 基于热图相关性的特征选择对使用人工神经网络(ANN)算法建立低合金钢力学性能预测模型的影响
Pub Date : 2023-11-15 DOI: 10.23960/jemit.v4i4.203
Desmarita Leni
Abstract
摘要
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引用次数: 0
The Microbial Fuel Cell Characteristics of the PVA/Chitosan Membrane with Variations of Phosphate Acid and Sodium Alginate Derived from Vegetable Waste 含不同磷酸和海藻酸钠的 PVA/Chitosan 膜(从植物废弃物中提取)的微生物燃料电池特性
Pub Date : 2023-11-15 DOI: 10.23960/jemit.v4i4.131
Iqbal Adi Nugraha
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引用次数: 0
Analysis of the Effects of CO2, H2S Composition, and Temperature on Steam Towards Corrosion Rate in Geothermal Power Plants 二氧化碳、H2S 成分和温度对地热发电厂蒸汽走向腐蚀率的影响分析
Pub Date : 2023-11-15 DOI: 10.23960/jemit.v4i4.215
muhammad Rafsya Firdaus
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引用次数: 0
The Effect of Immersion Time on Corrosion Rate on St37 Carbon Steel in 3% NaCl Corrosive Medium Using Waru Leaves Extract Inhibitor 浸渍时间对3% NaCl腐蚀介质中St37碳钢腐蚀速率的影响
Pub Date : 2023-08-31 DOI: 10.23960/jemit.v4i3.125
Fredison Dian Sinaga, E. G. Suka, Pulung Karo Karo
The research of effect of immersion time on the corrosion rate of St37 carbon steel has been conducted in a 3% NaCl corrosive medium using a hibiscus leaves extract inhibitor. The samples of carbon steel St37 were immersed in a corrosive medium of NaCl 3% without being given and given the inhibitor of hibiscus leaf extract with a concentration of 15% for 3, 6, 9, and 12 days. Calculation of reduction in corrosion rate is carried out by the weight loss method. The results showed that adding the hibiscus leaves extract inhibitor effectively reduced the sample's corrosion rate with the most excellent efficiency at nine days immersion, which was equal to 78,48%. The results of XRD characterization show that the phase formed is pure Fe is a corrosion product. The results of SEM characterization showed that the surface microstructure of the sample after immersion was cracks, holes, and lumps, which indicated that the sample had been corroded. The results of EDS characterization show that in the soaked sample, there were corrosion products in the form of FeO compounds whose magnitude increased with every immersion.
以木槿叶提取物为缓蚀剂,在3% NaCl腐蚀介质中,研究了浸泡时间对St37碳钢腐蚀速率的影响。碳钢St37样品在NaCl 3%的腐蚀性介质中浸泡3、6、9、12天,分别不给予和给予浓度为15%的木槿叶提取物抑制剂。采用失重法计算腐蚀速率的降低量。结果表明,加入木槿叶提取物缓蚀剂能有效降低样品的腐蚀速率,其中浸泡9 d时效果最佳,为78.48%。XRD表征结果表明,所形成的相为纯铁,为腐蚀产物。SEM表征结果表明,浸渍后试样的表面微观结构为裂纹、孔洞和块状,表明试样已被腐蚀。EDS表征结果表明,浸泡试样中存在FeO化合物形式的腐蚀产物,其强度随浸泡次数的增加而增加。
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引用次数: 0
Influence Variation Concentration Zn(NO3)2·6H2O Against Group Function, Size Particles, and Morphology Particle Nanoparticles ZnO with Method Green Synthesis Using Extract Leaf Moringa 用辣木叶提取物绿色合成锌(NO3)2·6H2O浓度对ZnO纳米粒子基团功能、粒径和形貌的影响
Pub Date : 2023-08-31 DOI: 10.23960/jemit.v4i3.208
Chairunissa A Benyamin, Posman Manurung, Suprihatin Suprihatin
This research was conducted to determine the effect of varying concentrations of Zn(NO3)2·6H2O (zinc nitrate hexahydrate) on functional groups, particle size, and particle morphology of ZnO nanoparticles using the green synthesis method using Moringa leaves. The materials was used in this study were moringa leaf extract, Zn(NO3)2·6H2O with various concentrations of 0.2, 0.4, 0.6, and 0.8 M, and NaOH of 0.1 M. Based on the results of characterization using FTIR, it shows that the functional groups in the content of Moringa leaves play a role in the formation of ZnO nanoparticles. Meanwhile, the results of the XRD characterization showed a diffractogram difference with standard ZnO at concentrations of 0.6 M and 0.8 M Zn(NO3)2·6H2O with the appearance of the NaNO3 phase. SEM characterization results show that the morphology of ZnO nanoparticles using the green synthesis method is irregular in shape.
以辣木叶为原料,研究了不同浓度Zn(NO3)2·6H2O(六水硝酸锌)对ZnO纳米粒子官能团、粒径和形貌的影响。本研究采用辣木叶提取物、0.2、0.4、0.6、0.8 M不同浓度的Zn(NO3)2·6H2O和0.1 M的NaOH为材料,通过FTIR表征结果表明,辣木叶含量中的官能团对ZnO纳米颗粒的形成起作用。同时,XRD表征结果表明,当Zn(NO3)2·6H2O浓度为0.6 M和0.8 M时,其衍射图与标准ZnO存在差异,出现了NaNO3相。SEM表征结果表明,采用绿色合成方法制备的ZnO纳米颗粒形貌不规则。
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引用次数: 0
Effect of Variation of Concentration of Ketapang (Terminalia Catappa) Fruit Extract on The Corrosion Rate of ASTM A36 Iron 吉打邦果提取物浓度变化对ASTM A36铁腐蚀速率的影响
Pub Date : 2023-08-31 DOI: 10.23960/jemit.v4i3.167
Ocean Prabowo, Syafriadi Syafriadi, E. G. Suka
The aim of this study was to investigate the influence of varying concentrations of Terminalia catappa fruit peel extract on the corrosion rate during immersion periods of 2 days, 4 days, and 6 days for ASTM A36 steel. The ASTM A36 steel specimens were immersed in a corrosive medium containing 2% NaCl, with inhibitor compositions of 0%V, 1%V, 2%V, and 3%V being tested. Measurement results revealed that as the concentration of Terminalia catappa fruit peel extract increased, the corrosion rate proportionally decreased. The lowest corrosion rate was observed in samples with a 3%V inhibitor composition, subjected to a 4-day immersion, measuring at 0.02321 mmpy. Moreover, with the augmentation of fruit peel extract concentration, inhibition efficiency exhibited an augmented trend (83.02% for the 3%V composition, and the lowest at 41.84% for the 1%V composition).
本研究的目的是研究不同浓度的石刺果皮提取物对ASTM A36钢浸泡2天、4天和6天腐蚀速率的影响。将ASTM A36钢试样浸泡在含2% NaCl的腐蚀介质中,分别测试0%V、1%V、2% v和3%V的缓蚀剂成分。测量结果表明,随着石刺果皮提取物浓度的增加,腐蚀速率成比例地降低。在含有3%V缓蚀剂的样品中,腐蚀速率最低,浸泡4天,测量值为0.02321 mmpy。此外,随着果皮提取物浓度的增加,抑制率呈增加趋势(3%V含量为83.02%,1%V含量最低,为41.84%)。
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引用次数: 0
The Effect of Addition of Used Fabric Fiber on the Mechanical Properties of Gypsum List 旧织物纤维添加量对石膏粉力学性能的影响
Pub Date : 2023-08-31 DOI: 10.23960/jemit.v4i3.209
Ety Jumiati, Ratni Sirait, R. Rahmad
Research has been carried out on samples of lysed gypsum. This research aims to look at the mechanical properties of the addition of the proportion of used cloth fibers. Variations in the composition of gypsum flour and used cloth fiber are 2%, 4%, 6%, and 8%, with a water-cement factor (FAS) value 0.5. We are making samples of lysate gypsum using a hot press machine with a heat temperature of 90°C within 30 minutes. The mechanical properties tested included fracture strength (MOR) and flexural strength (MOR). The test tool used for MOR and MOE is UTM. The test results showed that gypsum plaster with the addition of used cloth fibers had fracture strength values of 953.1 kgf/cm2 to 2,981.4 kgf/cm2 and flexural strength values of 63,519.67 kgf/cm2 to 408,454.61 kgf/cm2. All gypsum plaster samples complied with SNI 01-4449- 2006 concerning fiberboard quality standards.
对溶解石膏的样品进行了研究。本研究的目的是研究添加比例的旧布纤维的机械性能。石膏粉和使用过的布纤维组成的变化分别为2%、4%、6%和8%,水灰系数(FAS)为0.5。我们正在使用热温度为90°C的热压机在30分钟内制作裂解石膏样品。力学性能测试包括断裂强度(MOR)和弯曲强度(MOR)。MOR和MOE的测试工具为UTM。试验结果表明,添加旧布纤维的石膏的断裂强度为953.1 ~ 2981.4 kgf/cm2,抗弯强度为63519.67 ~ 408454.61 kgf/cm2。所有石膏样品均符合SNI 01-4449- 2006纤维板质量标准。
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引用次数: 0
Smart Green Box Trash Design Based on HC-SR04 Sensor Arduino Uno Integrated 基于HC-SR04传感器集成Arduino Uno的智能绿箱垃圾设计
Pub Date : 2023-08-31 DOI: 10.23960/jemit.v4i1.115
Mahardika Setiawan Dika, S. W. Suciyati, A. Supriyanto, G. A. Pauzi
This research has realized the design of a smart green trash box based on the HC-SR04 sensor, which is integrated with Arduino Uno. This research aims to design and build a digital instrumentation system based on Arduino Uno, applying Ultrasonic Sensors to the Green Box Trash System. In addition, this system is equipped with an information display via LCD and speakers so that we can find out the contents of the green trash box. Data retrieval by detecting objects with a distance of less than 10 cm to open the trash and measure the volume in the green trash box. The research results are displayed as a prototype Smart Green Trash Box design. Based on the Hc-Sr04 Sensor Integrated by Arduino Uno. The ultrasonic sensor in the Green Box Trash system works well by measuring the volume and can detect when an object is approaching with a distance of less than 10 cm. Assembling the green box using the HC-SR04 sensor, which is integrated with Arduino Uno functions according to the program created if, in the green box, there is HC-Sr04 1 sensor trash, it measure the volume of trash and then display it through the LCD, and if there is an object approaching the HC-Sr04 sensor 2, then the servo moves so that the green trash box can be opened. The Green Trash box can display trash volume and time on the 16x2 character LCD in real-time with the program uploaded to Arduino as monitoring.
本研究实现了基于HC-SR04传感器的智能绿色垃圾箱的设计,该传感器与Arduino Uno集成。本研究旨在设计并搭建一个基于Arduino Uno的数字化仪器系统,将超声波传感器应用于绿箱垃圾处理系统。此外,该系统还配备了一个通过LCD和扬声器的信息显示,以便我们可以找到绿色垃圾桶的内容。通过检测距离小于10cm的物体打开垃圾桶,测量绿色垃圾桶的体积来获取数据。研究成果作为智能绿色垃圾桶设计原型展示。基于Arduino Uno集成的Hc-Sr04传感器。绿箱垃圾系统中的超声波传感器可以很好地测量体积,并且可以在距离小于10厘米的物体接近时检测到。用HC-SR04传感器组装绿箱,结合Arduino Uno功能,根据所创建的程序,如果在绿箱中有HC-SR04 1传感器垃圾,测量垃圾的体积,然后通过LCD显示,如果有物体接近HC-SR04 2传感器,则伺服移动,打开绿色垃圾桶。绿色垃圾桶可以在16x2字符LCD上实时显示垃圾数量和时间,并将程序上传到Arduino进行监控。
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Journal of Energy, Material, and Instrumentation Technology
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