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Application of Human Factors Analysis to Prioritize KNKT's Recommendations: A Case Study of Wamena Airport's Air Accidents 人因分析在KNKT建议优先排序中的应用——以瓦梅纳机场空难为例
A. Haryono
Air accidents happened when all layers in Human Factor Analysis Classification System (HFACS) penetrated. The last layer Unsafe Act has defence failures of decision error, skill-based error, perceptual error, and violation (routine and exceptional). In this study Unsafe Act layers defence failures were taken from Indonesian National Transportation Safety Committee/Komisi Nasional Keselamatan Transportasi (KNKT) narrative descriptions of five accidents in Wamena Airport. Human factor Intervention Matrix (HFIX) intervention strategies were taken from KNKT's recommendations of the accidents. Blocking the errors in the Unsafe Act layer will prevent accidents by doing GO AROUND of un-stabilized approach, pilots' GO AROUND hesitation is a question need answers in this study. The GO AROUND is the goal in the Analytical Hierarchy Process (AHP) structure model and prioritizing recommendations using the AHP approach is the aim of the study. According to global weight value calculated, the first rank is technology/engineering intervention classification with 7.74%. The most related KNKT's recommendation with GO AROUND in this classification, is the airport has no Instrument Flight Rule (IFR) approach and GO AROUND procedure for narrow body aircraft/jet. If a flight is experiencing un-stabilized approach the pilots need to GO AROUND, and will be hard decision to make without guidance of GO AROUND procedure in Wamena airport which surrounded by mountains in IFR condition. Continue landing or GOING AROUND, both choices have possibility to lead in incidents or accidents. Mitigation if this first rank priority hasn't been installed, is the operation of narrow body jet in Wamena airport should be strictly limited by weather condition (only full Visual Flight Rule/VFR) and aircraft's performance. Operation's approval for narrow body jet should be clarified daily when all the requirements of safety can be met, or closure of airport should be done.
人为因素分析分类系统(HFACS)的各层渗透都会导致空难的发生。最后一层“不安全行为”包含决策错误、基于技能的错误、感知错误和违反(常规和例外)的防御失败。在本研究中,不安全法案层防御失效取自印度尼西亚国家运输安全委员会/Komisi国家Keselamatan Transportasi (KNKT)对瓦梅纳机场五起事故的叙述描述。人为因素干预矩阵(Human factor Intervention Matrix, HFIX)干预策略取自KNKT对事故的建议。阻断不安全行为层的错误可以通过非稳定进近的GO AROUND来防止事故的发生,飞行员的GO AROUND犹豫是本研究需要解决的问题。GO AROUND是层次分析过程(AHP)结构模型的目标,使用AHP方法对建议进行优先排序是本研究的目的。根据计算出的全局权重值,排名第一的是技术/工程干预分类,占7.74%。与此分类中最相关的KNKT建议是,机场没有窄体飞机/喷气式飞机的仪表飞行规则(IFR)进近和GO AROUND程序。如果飞机遇到不稳定进近,飞行员需要复飞,如果没有复飞程序的指导,在被山脉环绕的Wamena机场将很难做出决定。继续降落或盘旋,这两种选择都有可能导致事故或事故。如果没有安装这一第一优先级,那么窄体喷气式飞机在瓦梅纳机场的操作应该受到天气条件(仅限完全目视飞行规则/VFR)和飞机性能的严格限制。当满足所有安全要求时,应每日明确窄体客机的运营批准,否则应关闭机场。
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引用次数: 0
Simple Vertical Axis Wind Turbine for Low Wind Speed 简单垂直轴风力涡轮机低风速
D. Hendriana, E. Budiarto, Arko Djajadi
Wind energy is one of the potential renewable energy in Indonesia, however low wind speed turbine needs to be designed to adjust for available wind characteristic in the area. Vertical axis wind turbine with Savonius type is suitable for low wind speed application and in this paper turbine design has been optimized aerodynamically using computational fluid dynamics and following raw material size constraint. One-level savonius wind turbine has been designed and compared to previous work of two-lavel wind turbine. Based on CFD simulations, one-level turbine has better performance than the other one. Both wind turbines have large torque at zero RPM which indicates that they are suitable for low wind speed application.
风能是印度尼西亚潜在的可再生能源之一,但是需要设计低风速涡轮机以适应该地区可用的风力特性。萨沃尼乌斯型垂直轴风力机适用于低风速应用,本文采用计算流体力学方法对风力机设计进行了空气动力学优化,并遵循原材料尺寸约束。设计了一种单层萨伏纽斯风力机,并与已有的双层风力机进行了比较。CFD仿真表明,一级涡轮的性能优于另一级涡轮。这两种风力涡轮机都有大扭矩在零RPM,这表明他们是适合于低风速应用。
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引用次数: 1
Bioethanol Production from Oil Palm Fronds Biomass Waste Review 油棕叶生物质废弃物生产生物乙醇研究进展
N. Gloria, Evita H. Legowo, I. Kartawiria
Indonesia is the leading country of palm oil producers, it reaches a total area of 12.5 million hectares plantation. It generates excessive wastes as well. From those wastes, Oil Palm Frond (OPF) contributes to 61% of it. It is usually being left as a waste in the natural environment or become a fertilizer around the plantation. Instead of leaving it as a waste, it is better to make use of OPF to become a renewable source of energy. It could be a substrate to produce bioethanol because of its high sugar content. The objective of this study is to find the best method and condition to use OPF as bioethanol fermentation raw material. The methodology used in this study is literature review. Several studies have been done. It is proven that there are two ways to process OPF. First method consists of physical pretreatment of milling and drying the OPF, to obtain the dried fibers before it goes to chemical pretreatment, which includes soaking the OPF in acid or alkaline solution, prior to fermentation using Saccharomyces Cerevisiae. Another method, fermentation is carried out on the juice obtained by simply pressing the OPF. From all the research reviewed, the best method is using the juice pressed from OPF. The juice from OPF could consists up to 650 g/L sugar and has high yield of ethanol production. The OPF should be from an oil palm tree with the age of 3--4 years old to have optimum sugar content. Also, OPF that is directly connected to the inner part of the trunk have the possibility to contain more sugars than other fronds.
印度尼西亚是主要的棕榈油生产国,它的种植园总面积达到1250万公顷。它也会产生过多的浪费。在这些废弃物中,油棕园(OPF)贡献了61%。它通常作为废物留在自然环境中,或成为种植园周围的肥料。与其让OPF成为废物,不如利用OPF成为可再生能源。由于其含糖量高,可以作为生产生物乙醇的底物。本研究的目的是寻找以OPF作为生物乙醇发酵原料的最佳方法和条件。本研究采用文献回顾法。已经进行了几项研究。证明了有两种处理OPF的方法。第一种方法包括研磨和干燥OPF的物理预处理,在进行化学预处理之前获得干燥的纤维,化学预处理包括将OPF浸泡在酸或碱性溶液中,然后使用酿酒酵母进行发酵。另一种方法是对简单按压OPF得到的果汁进行发酵。从所有的研究来看,最好的方法是使用从OPF压榨出来的果汁。产糖量可达650 g/L,乙醇产率高。OPF应该来自年龄为3- 4岁的油棕树,以获得最佳的糖含量。此外,直接连接到树干内部的OPF可能比其他叶子含有更多的糖。
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引用次数: 0
Prognostics Health Management (PHM) System for Power Transformer Using Kernel Extreme Learning Machine (K-ELM) 基于核极限学习机(K-ELM)的电力变压器预测健康管理系统
M. Abdillah, A. Krismanto, Teguh Aryo Nugroho, H. Setiadi, Nita Indriani Pertiwi, K. Mahmoud, M. D. Prasetio
A power transformer is one of the most important and valuable components for the power system network. This device is critical to ensure power quality and reliable electricity supply for consumers. When the power transformer could not work properly or out of service in unforeseen ways, it provides a severe impact on power system utilities and customers in term of the expensive of transformer's replacement cost and revenue lost caused by the electrical blackout. To overcome these issues, the proper prognostics health management (PHM) system as a tool for condition monitoring and health assessment of these valuable assets is required. This paper proposed a PHM system based on a kernel extreme learning machine (K-ELM) for power transformer's health assessment. Two sets of variable combinations called Set-1 and Set-2 were considered to examine the robustness and efficacy of the proposed method. In Set-1, the input variables were water content, total acidity, breakdown voltage, dissipation factor, dissolved combustible gases, and 2-furfuraldehyde. While the output of PHM system was the health condition which categorized as good, moderate, and bad circumstances. Set-2 utilized water content, total acidity, breakdown voltage, dissipation factor, and interfacial tension as input variables. Whereas, the PHM system outputs consisted of four categories: normal, good, moderate, and bad. The proposed method with two sets of variables had showed the satisfactory results for transformer's health condition assessment compared to an extreme learning machine (ELM), support vector machine (SVM), and least-square support vector machine (LS-SVM) in terms of learning and testing accuracies and computation time. The proposed PHM system using the Set-1 dataset could assess the transformer health as of 100% while in terms of the testing process, the proposed PHM system has an excellent accuracy result as of 68.67%. Furthermore, the proposed PHM system using the Set-2 dataset had successfully assessed the transformer health as of 100%. In the testing phase, the proposed PHM system model has a rigorous result for its accuracy result as of 93.61%.
电力变压器是电力系统网络中最重要、最有价值的部件之一。该装置对于确保电能质量和为消费者提供可靠的电力供应至关重要。当电力变压器因不可预见的原因不能正常工作或停止服务时,电力系统的公用事业和用户将受到严重的影响,因为电力停电造成了昂贵的变压器更换成本和收入损失。为了克服这些问题,需要适当的预后健康管理(PHM)系统作为这些有价值资产的状态监测和健康评估工具。提出了一种基于核极值学习机(K-ELM)的电力变压器健康评估系统。考虑了两组称为Set-1和Set-2的变量组合来检验所提出方法的鲁棒性和有效性。在Set-1中,输入变量为含水量、总酸度、击穿电压、耗散系数、溶解可燃气体、2-糠醛。而PHM系统的输出是健康状况,分为良好、中等和不良情况。Set-2以含水量、总酸度、击穿电压、耗散系数、界面张力为输入变量。然而,PHM系统的输出包括四个类别:正常、良好、中等和不良。与极限学习机(ELM)、支持向量机(SVM)和最小二乘支持向量机(LS-SVM)相比,该方法在学习和测试精度以及计算时间方面取得了令人满意的结果。基于Set-1数据集的PHM系统对变压器健康状况的评估准确率为100%,而在测试过程中,该系统的评估准确率为68.67%。此外,使用Set-2数据集的PHM系统成功地将变压器健康状况评估为100%。在测试阶段,所提出的PHM系统模型的精度达到了93.61%。
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引用次数: 0
Conceptual Model of Consumers Purchase Intention Towards Smart Retail: A Literature Review 智能零售消费者购买意愿的概念模型:文献综述
Muriani Emelda Isharyani, B. M. Sopha, M. A. Wibisono
This study develops a conceptual model that linked smart consumer experience with consumer purchase intention toward smart retail, in order to identified factors that influence consumer to make purchase at smart retail. As a viewpoint, this study employs a review of theories, knowledge, ideas, and findings in academically oriented literature, drawing upon the actual challenges in smart retail, to propose a new perspective and formulates an emerging research agenda. The research model proposes that perceived advantage, perceived ease of use, perceived enjoyment, perceived risk, perceived novelty of SRT, personalization, and interactivity drive consumer experience with smart technology in retail environment, which leads to increases in perceived shopping value and retail store loyalty. Consumer with a higher level of perceived shopping value and retail store loyalty will be more likely to develop purchase intention.
本研究建立了智能消费者体验与消费者智能零售购买意愿的概念模型,以确定影响消费者在智能零售购买的因素。作为一种观点,本研究采用了理论,知识,思想和研究成果的学术导向的文献回顾,借鉴智能零售的实际挑战,提出了一个新的视角,并制定了一个新兴的研究议程。研究模型认为,感知优势、感知易用性、感知享受、感知风险、感知新颖性、个性化和交互性驱动消费者在零售环境中使用智能技术的体验,从而提高消费者的感知购物价值和零售店忠诚度。消费者的感知购物价值和零售店忠诚度水平越高,越容易产生购买意愿。
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引用次数: 2
Prioritizing Criteria for Dwell Time Efficiency in Port Logistic Process 港口物流过程中停留时间效率的优先排序标准
O. Sunardi, Yenny Yunita Somakila
The efficiency of dwell time at the loading and unloading port is crucial for the overall efficiency of logistics costs. While the Government targets the dwell time to only two days on average, the dwell time average at major Indonesian ports is at 3.5 days. This condition become an obstacle for Indonesia to compete in global port operations. This paper presents how the Fuzzy Analytic Hierarchy Process (Fuzzy AHP) approach may help the decision maker in Port operations to prioritizing criteria which are crucial to streamlining the dwell time at the Port Tanjung Priok. Three experts were involved in this study, examining four criteria and 16 sub-criteria. This study found that the Human Resource Management becomes the most dominant criterion to be prioritized, followed by the IT-based Licensing Process, the Loading-unloading process, and the Customer Knowledge Management.
在装卸港停留时间的效率对物流成本的整体效率至关重要。虽然政府的目标是平均停留时间仅为两天,但印度尼西亚主要港口的平均停留时间为3.5天。这种情况成为印尼参与全球港口业务竞争的障碍。本文介绍了模糊层次分析法(Fuzzy AHP)方法如何帮助港口运营决策者优先考虑对简化丹戎不ok港口停留时间至关重要的标准。三位专家参与了这项研究,检查了四个标准和16个子标准。本研究发现,人力资源管理成为优先考虑的最主要标准,其次是基于it的许可流程,装卸流程和客户知识管理。
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引用次数: 0
Design of Remote Biometrics Authentication System to Access Public Services from Remote Area 偏远地区公共服务接入的远程生物识别认证系统设计
Rully Kusumajaya, Nurdianti Rizki Hapsari, Yuki Istianto, A. Nugroho, G. Wibowanto
Biometrics is already popularly used on various applications for authentication, especially authentication using smartphone. Various smartphone applications are developed to authenticating the users using biometrics modality, such as face, fingerprint and even iris. The combination between biometrics and smartphone enable the users to be authenticated and able to access the information and services. We proposed a remote biometric authentication, a system to access the public services using smartphone and biometrics for authentication. This system is intended to be connected to a Biometric Identity Service which host the enrolled biometric data. The result of authentication will be subsequently passed to the third party / public service providers to ensure that the person is identified correctly and has the right to access the public service. Fingerprint is chosen as biometrics trait, and the experimental results shows that the system is able to authenticated the user remotely. The finger of the resident is scanned by a fingerprint sensor connected to the smartphone, and it is sent to a server in the third party for authentication. The authentication result is returned back to the client. If it is success, the resident is allowed to access the public service. The system was evaluated using 22 persons and the result was promising.
生物识别技术已经广泛应用于各种身份验证应用,尤其是智能手机的身份验证。各种智能手机应用程序被开发出来,使用生物识别方式对用户进行身份验证,如面部、指纹甚至虹膜。生物识别技术与智能手机的结合使用户能够通过身份验证,并能够访问信息和服务。我们提出了一个远程生物识别认证,一个使用智能手机和生物识别技术进行认证的公共服务系统。该系统旨在连接到生物特征识别服务,该服务托管已登记的生物特征数据。身分验证的结果随后会传递给第三方/公共服务提供者,以确保有关人士被正确识别,并有权使用公共服务。实验结果表明,该系统能够对用户进行远程身份验证。居民的手指通过与智能手机相连的指纹传感器进行扫描,然后发送到第三方服务器进行身份验证。将验证结果返回给客户端。如果成功,居民就可以使用公共服务。对该系统进行了22人的评价,结果令人满意。
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引用次数: 1
Mapping of Telkom University Roadshow Location Using Geographic Information System 利用地理信息系统绘制电信大学路演地点
Ramadhani Kurniawan, A. Kurniawati, Afrin FauzyaRizana
Based on data on the New Student Selection (NSS) at Telkom University in the last three years, there are international study programs that have experienced a decrease in the ratio of the number of participants for the NSS compared to the capacity. A limited number of employees can also be an obstacle in marketing Telkom University to schools on-site in various cities. Based on enrollment data in 2019, there were more than 500 schools from which participants participated in international class study programs. Because there are quite a lot of cities, it would be better if displayed in the form of a map that can display the number of participants who took part in the selection of new students from each city. In this research, a case study was conducted in an international class aimed at designing a geographical information system to map the Telkom University roadshow locations. The system will be built using the Rapid Application Development (RAD) model. This research produces a GIS that maps alternatives that provide information related to registrants from various cities by mapping the data of each alternative city into a map so that users can be helped in considering the cities that need to be visited for the roadshow and also the resources needed for the visit. Based on black-box testing and user acceptance tests, it is concluded that the system is successfully carrying out its functions according to the design.
根据最近三年电信大学新生选拔(NSS)的数据,有一些国际学习项目的参加人数与容量相比有所下降。员工数量有限也可能成为向各个城市的学校推销电信大学的障碍。根据2019年的招生数据,有500多所学校的参与者参加了国际班学习项目。因为有很多城市,如果以地图的形式展示会更好,可以显示每个城市参加新生选拔的参与者数量。在本研究中,个案研究是在一个国际班级进行的,目的是设计一个地理信息系统来绘制电信大学路演地点。该系统将使用快速应用程序开发(RAD)模型构建。这项研究产生了一个地理信息系统,通过将每个备选城市的数据映射到地图上,提供与来自不同城市的注册人相关的信息,以便用户可以帮助考虑需要为路演访问的城市以及访问所需的资源。通过黑盒测试和用户验收测试,系统成功实现了设计要求的功能。
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引用次数: 0
Effect of Zn, Cu and Mg doping on the structural characteristic of LiNi0.6Mn0.2Co0.2O2 (NMC622) Zn、Cu和Mg掺杂对LiNi0.6Mn0.2Co0.2O2 (NMC622)结构特性的影响
Ahmad Jihad, Affiano Akbar Nur Pratama, C. Yudha, M. Rahmawati, H. Widiyandari, A. Purwanto
LiNi0.6Mn0.2Co0.2O2 or NMC622 is a promising cathode material for Li-ion batteries. In this study, NMC622 was synthesized using batch oxalate co-precipitation followed by high temperature lithiation and sintering. Direct modification of NMC622 was employed via direct solid-state doping of Zn, Cu and Mg atoms at concentration of 0%, 1%, 3%, 5% and 10%. Doping source was obtained via simple and rapid precipitation. The doping was performed during LiOH mixing with NMC precursor. The doping source was pre-characterized using XRD analysis before the doping process. The final doped and un-doped NMC622 was analyzed structurally to study the optimum doping effect based on several structural parameters such as lattice parameters, lattice parameters ratio, cation mixing level, degree of hexagonal ordering and crystallite size.
LiNi0.6Mn0.2Co0.2O2或NMC622是一种很有前途的锂离子电池正极材料。本研究采用草酸盐间歇共沉淀法、高温锂化和烧结法制备了NMC622。分别以0%、1%、3%、5%和10%的浓度直接掺杂Zn、Cu和Mg原子,对NMC622进行直接改性。通过简单快速的沉淀法得到了掺杂源。掺杂是在LiOH与NMC前驱体混合的过程中进行的。在掺杂前用XRD分析对掺杂源进行了预表征。对最终掺杂和未掺杂的NMC622进行结构分析,从晶格参数、晶格参数比、阳离子混合水平、六方有序度和晶粒尺寸等几个结构参数研究最佳掺杂效果。
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引用次数: 0
On the Role of Industrial Engineering in the COVID-19 Era 论工业工程在新冠肺炎时代的作用
Koichi Murata
The purpose of this study is to consider the role of industrial engineering in the era of COVID-19. This paper is divided into three parts. Firstly, the history of industrial engineering are reviewed to confirm the richness and compensation of life brought by the division of labor. Second part describes the exchange that should be paired with the division of labor, and what it is like to be, and then explain that the integration of division of labor and its exchange is the future issue for humanity. Third part, regarding the touch strategy that is the first step of exchange, reviews the concept of visual management, which is a precedent case, and try to systematize the three touch strategies that people tried in the early stages of the spread of COVID-19 in Japan. The results obtained from this survey argue that it is important for industrial engineering, which has been trying to understand management resources from various perspectives, to engage not only in the division of labor, but also in their exchange. Also, in an era where environmental destruction and digitalization are progressing at a speed that humanity does not notice, the findings can be considered as a problem in order to create human resources people whose value is higher than ever.
本研究的目的是考虑工业工程在COVID-19时代的作用。本文共分为三个部分。首先,回顾工业工程的历史,确认分工给生活带来的丰富性和补偿性。第二部分描述了与劳动分工相匹配的交换,以及交换应该是什么样子,然后解释了劳动分工及其交换的整合是人类未来的问题。第三部分,针对作为交流第一步的触摸策略,回顾了作为先例的视觉管理的概念,并试图将新冠病毒在日本传播初期人们尝试的三种触摸策略系统化。从这次调查中得到的结果表明,对于一直试图从不同角度理解管理资源的工业工程来说,不仅要参与分工,而且要参与资源的交换,这一点很重要。此外,在环境破坏和数字化以人类无法察觉的速度发展的时代,为了创造比以往任何时候都更有价值的人力资源,这些研究结果可以被视为一个问题。
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引用次数: 1
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Proceedings of the 2021 International Conference on Engineering and Information Technology for Sustainable Industry
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