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2022 IEEE International Conference on Industrial engineering and engineering Management, IEEM 2022

作者： Jonny Mangindaan, Dave Faculty of Engineering Bina Nusantara University Professional Engineer Study Program Industrial Engineering Department Jakarta Indonesia Bina Nusantara University Professional Engineer Study Program Faculty of Engineering Jakarta Indonesia

ISBN: (数字)9781665486873

ISBN: (纸本)9781665486873

Organizational resilience is about combination of operational and strategic resilience to sustain company's performance. In the time of turbulence like COVID-19 pandemic era, this resilience is extremely needed for any organizations not only to bounce back from its disruption but also ensures its sustained performance. However, knowledge related to this ability is still lacking and developing to cover especially factors needed to develop resilience for organization. Thus, this paper is proposing an organizational resilience model that covers what factors known so far. For this research, 100 organizations were invited for the research using questionnaires as its instrument. Among these invited organizations, only 47 organizations have given their responses at rate of 47%. Partial Least Square Structural Equation Modeling (PLS-SEM) method using SmartPLS 3.0 was utilized for data processing. This confirms that organization should promote its resilience through operational dan strategic resilience to sustain its performance especially in times of turbulence especially during COVID-19 pandemic era. © 2022 IEEE.

关键词： COVID-19

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Java Bali Grid Mean Time To Failure Prediction using Machine Learning 1

Java Bali Grid Mean Time To Failure Prediction using Machine...

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1st International Conference on Technology, engineering, and Computing Applications, ICTECA 2023

作者： Sesotyo, Priyo Adi Pandjaitan, M.M. Lanny W. Lukas Universitas Katolik Indonesia Atma Jaya Professional Engineer Study Program Faculty of Engineering Jakarta12930 Indonesia Universitas Semarang Electrical Engineering Dept. Semarang50196 Indonesia Universitas Katolik Indonesia Atma Jaya Electrical Engineering Master Program Jakarta12930 Indonesia Jakarta12930 Indonesia

ISBN: (纸本)9798350360554

The role of Mean Time To Failure (MTTF) is critical to maintain cost-efficient in smart grids, as the predictive maintenance means for ensuring their reliability. Java Bali grid is the most important power network in Indonesia, because it holds 75% energy sales and the foundation of the Indonesian government, business and industrial sectors. One method for prediction in the machine learning is the Linear Regression, as part of the Supervised Learning technique. The regression model extracts the grid overload variable from MV distribution system, where connected load (MVA) divided by the number of MV customers. The model constructs the Linear Regression function, where the slope and intercept values found from the correlation between predicted response and actual response. After confronting the function f(x) and the coefficient of determination (R2), the test results for the MTTF prediction values for Java-Bali's region shows the higher accuracy when the R2 shows highest value. © 2023 IEEE.

关键词： Forecasting

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Prototype Design of Smart Diabetic Shoes with Lora Module Communication

Prototype Design of Smart Diabetic Shoes with Lora Module Co...

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2023 International Conference on Computer Science, Information Technology and engineering, ICCoSITE 2023

作者： Purwono, Purwono Burhan, Asmat Nisa, Khoirun Wibisono, Sony Kartika Setiawan Mangkunegara, Iis Dewi, Pramesti Ma'Arif, Alfian Suwarno, Iswanto Universitas Harapan Bangsa Department of Informatics Purwokerto Indonesia Universitas Harapan Bangsa Department of Anesthesiology Nursing Purwokerto Indonesia Universitas Harapan Bangsa Department of Information Technology Purwokerto Indonesia Universitas Harapan Bangsa Nursing Study Program Purwokerto Indonesia Universitas Ahmad Dahlan Department of Electrical Engineering Yogyakarta Indonesia Universitas Muhammadiyah Yogyakarta Department of Engineer Professional Program Yogyakarta Indonesia

ISBN: (纸本)9798350320954

Diabetes is a disease that affects many people in the world. Diabetes mellitus is a type of metabolic disease in a person who suffers from blood glucose levels with extreme conditions, namely insufficient insulin production in the human body. Monitoring diabetes is an important concern for researchers because it can be useful for improving the quality of the nursing service system. One of the common conditions in diabetic patients is ulceration which is difficult to detect on time. Technology can minimize the total cost of monitoring chronic diseases such as Diabetes continuously and on time. This research focuses on solutions to produce IoT-based smart diabetic shoes that utilize pressure sensors and the temperature of the feet of people with diabetic feet. Smart diabetic shoes are made using the Lora E32 module to be applied to areas with poor internet connections. The results of the testing carried out for 60 seconds in this study succeeded in detecting the area of the foot that experienced the greatest pressure, which was located on the rear footrest with a portion of pressure of around 25 - 28% of the total body weight. The patient's foot temperature increases when the pedestal load is greater. The Lora E32 module also functions as a media transmitter and receiver at a distance of 2.2 km in sending sensor data. © 2023 IEEE.

关键词： Diseases

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Java Bali Grid Mean Time To Failure Prediction using Machine Learning

Java Bali Grid Mean Time To Failure Prediction using Machine...

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Technology, engineering, and Computing Applications (ICTECA), International Conference on

作者： Priyo Adi Sesotyo M.M. Lanny W. Pandjaitan Lukas Professional Engineer Study Program Faculty of Engineering Universitas Katolik Indonesia Atma Jaya Jakarta Indonesia Electrical Engineering Dept. Universitas Semarang Semarang Indonesia Electrical Engineering Master Program Universitas Katolik Indonesia Atma Jaya Jakarta Indonesia Cognitive Engineering Research Group (CERG) Universitas Katolik Indonesia Atma Jaya Jakarta Indonesia

The role of Mean Time To Failure (MTTF) is critical to maintain cost-efficient in smart grids, as the predictive maintenance means for ensuring their reliability. Java Bali grid is the most important power network in Indonesia, because it holds 75% energy sales and the foundation of the Indonesian government, business and industrial sectors. One method for prediction in the machine learning is the Linear Regression, as part of the Supervised Learning technique. The regression model extracts the grid overload variable from MV distribution system, where connected load (MVA) divided by the number of MV customers. The model constructs the Linear Regression function, where the slope and intercept values found from the correlation between predicted response and actual response. After confronting the function f(x) and the coefficient of determination (R2), the test results for the MTTF prediction values for Java-Bali’s region shows the higher accuracy when the R2 shows highest value.

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Prototype Design of Smart Diabetic Shoes with Lora Module Communication

Prototype Design of Smart Diabetic Shoes with Lora Module Co...

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Computer Science, Information Technology and engineering (ICCoSITE), International Conference on

作者： Purwono Purwono Asmat Burhan Khoirun Nisa’ Sony Kartika Wibisono Iis Setiawan Mangkunegara Pramesti Dewi Alfian Ma’Arif Iswanto Suwarno Department of Informatics Universitas Harapan Bangsa Purwokerto Indonesia Department of Anesthesiology Nursing Universitas Harapan Bangsa Purwokerto Indonesia Department of Information Technology Universitas Harapan Bangsa Purwokerto Indonesia Nursing Study Program Universitas Harapan Bangsa Purwokerto Indonesia Department of Electrical Engineering Universitas Ahmad Dahlan Yogyakarta Indonesia Department of Engineer Professional Program Universitas Muhammadiyah Yogyakarta Yogyakarta Indonesia

Diabetes is a disease that affects many people in the world. Diabetes mellitus is a type of metabolic disease in a person who suffers from blood glucose levels with extreme conditions, namely insufficient insulin production in the human body. Monitoring diabetes is an important concern for researchers because it can be useful for improving the quality of the nursing service system. One of the common conditions in diabetic patients is ulceration which is difficult to detect on time. Technology can minimize the total cost of monitoring chronic diseases such as Diabetes continuously and on time. This research focuses on solutions to produce IoT-based smart diabetic shoes that utilize pressure sensors and the temperature of the feet of people with diabetic feet. Smart diabetic shoes are made using the Lora E32 module to be applied to areas with poor internet connections. The results of the testing carried out for 60 seconds in this study succeeded in detecting the area of the foot that experienced the greatest pressure, which was located on the rear footrest with a portion of pressure of around 25 – 28% of the total body weight. The patient's foot temperature increases when the pedestal load is greater. The Lora E32 module also functions as a media transmitter and receiver at a distance of 2.2 km in sending sensor data.

关键词： Temperature sensors Pressure sensors Transmitters Web services Footwear Receivers Diabetes

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Stabilization of Soft Clay from Bukit Rawi using Portland Composite Cement

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IOP Conference Series: Earth and Environmental Science 2022年第1期999卷

作者： Y F Arifin R F Rahmah Civil Engineering Master Program University of Lambung Mangkurat Banjarmasin Professional Engineer Education Study Program University of Lambung Mangkurat Banjarbaru

One method for stabilizing soft clay is to mix it with cement. Portland composite cement (PCC) is a cement produced by grinding together portland slag and gypsum with one or more inorganic materials that is suitable for stabilization of soft soils. The purpose of this study was to mix soft clay from Bukit Rawi, Central Kalimantan with PCC, which was then tested for unconfined compression strength (UCS) and the California Bearing Ratio (CBR) to see if it could be used as a road subgrade. Soft soil from Bukit Rawi was mixed with PCC with percentages of 6%, 8%, 10%, and 12% on a dry weight basis. The mixture was tested by Proctor standard compaction to obtain the optimum moisture content and maximum dry density. At these optimum conditions, UCS and CBR tests were carried out. The findings reveal that adding PCC to Bukit Rawi soil enhances UCS and CBR, which were previously 3.47% of CBR and 0.67kg/cm2 of UCS. The addition of PCC with a level of 2‒3% is planned for field application, because it is considered capable of fulfilling the requirements as a subgrade layer with a CBR of 15%. Furthermore, 12 percent PCC is required in the combination as a foundation (minimum 20kg/cm2 of UCS).

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Efficiency enhancement of die design for G2R-1A relay terminal using progressive tool

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Materials Today: Proceedings 2023年

作者： Lydia Anggraini Josep Ginting Trivia Nola Kazunori Takagi Mechanical Engineering Study Program President University Jababeka Education Park Cikarang Bekasi 17550 Indonesia Professional Engineer Study Program Atma Jaya Catholic University of Indonesia Jl. Jendral Sudirman No. 51 Jakarta 12930 Indonesia Accounting Study Program President University Jababeka Education Park Cikarang Bekasi 17550 Indonesia Omron Corporation Nishikusatsu Kusatsu City Shiga 525-0035 Japan

A progressive die is a set of tools performing series or several sheet-metal operations with a single tool. It has two or more workstations for the production of products. Every pressing stroke involves one operation, and the strip stock advances through the die strip. The main functional advantage of progressive die for the manufacturing industry is that it takes less time and gives a high volume of production. It can build precision tools with less time-consumption. The main task is to design a die for one of the parts of a relay product called G2R-1 Station Terminal A. The process of making this part is ineffective and uncomfortable under these conditions because it must go through three different stages of the process, which is a waste of time. This study discusses the design using the progressive die concept from Excess Hybrid or the CADD application as the initial sketch and Solid work as the visualization to achieve cost effectiveness and shorten the production process time. The result of total cost saving is 528,200,151 IDR per year.

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Electronic-offering of fresh fruit bunches oil palm by independent farmer with a blockchain approach

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AIP Conference Proceedings 2025年第1期3223卷

作者： Harison Marimin Sukardi Faqih Udin Yani Nurhadriyani Engineer Professional Education Study Program Universitas Andalas Padang Indonesia - 25000 Department of Agro-industrial Technology Faculty of Agricultural Engineering and Technology IPB University Bogor Indonesia - 16680 Department of Computer Science Faculty of Mathematics and Natural Sciences IPB University Bogor Indonesia – 16680

Indonesia meets the needs of 50% of the world's palm oil needs. Sources of Indonesian palm oil, 34 % are produced by independent smallholders. The lack of governance of independent smallholders leads to low productivity of their crops. Global market demands for palm oil derivative sources become an obligation to compete. The development of blockchain technology that favors traceability and transparency is applied in the supply agriculture sector, and this is an opportunity for how blockchain technology can help the palm oil supply chain become transparent and can find its source. This research uses the system development life cycle (SDLC) method. And business process model and notation in business model design. The results of the design of the FFB sale and purchase transaction system with blockchain technology have succeeded in connecting farmer transactions as FFB providers with traders and PKS as FFB buyers. Every transaction sent by the farmer will be locked by a hash, as immunity makes the data sent immutable. The system can display the traceability of transactions while maintaining the integrity of member information.

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The dependable flow analysis for irrigation intake using satellite-based Global Precipitation Measurement (GPM) in the Jratun Seluna River Basin

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AIP Conference Proceedings 2023年第1期2596卷

作者： Khafidzotun Ni'mah Hanggar Ganara Mawandha Yekti Anggun Eka Dariyanti Lalu Marhayani Kesuma Chandra Setyawan Ngadisih Ngadisih Department of Agricultural and Biosystem Engineering Universitas Gadjah Mada Yogyakarta 55281 Indonesia Department of Civil Engineering Janabadra University Yogyakarta 55231 Indonesia Engineer Professional Study Program Universitas Gadjah Mada Yogyakarta 55281 Indonesia

The water availability in the river basin possesses essential benefits for human life, habitats, energy, and farming. As the river basin collects and stores inland water runoff from rainfall, it keeps a maintainable river discharge or so-called a dependable flow. As an extensive irrigation system in central java, the Jratunseluna river basin provides water for 257 thousand hectares of irrigation, with the river basin's area 9.896 km2. In this case, the dependable flow used for irrigation intake's design needs to be analyzed. However, as a ground-based instrument is used and a point-based measurement, the accuracy may depend on the number of devices deployed on the ground. On the other hand, the Global Precipitation Measurement (GPM) collects extensive spatial data in one observation cycle at near-real-time. Here, the use of satellite data looks like the main challenge dealing with a large-scale area target. This study aims to analyze the accuracy of satellite-based data related to rainfall amount used as an input to calculate the dependable flow compared to the analyses generated from the ground-based data. The study uses the Mock model with the calibrated parameter obtained from the observed flow data from 2010 to 2020. The model was developed under two scenarios; the rain gauge models and the GPM models. This study uses the GPM-IMERG specification with a time resolution of 1 day and a spatial resolution of 0.1° x 0.1°. The results show that the estimated dependable flows under two conditions are comparable to the observed data regarding the correlation coefficient, RMSE, and NSE scores. The best result of the statistical tests for the correlation coefficient, RMSE, and NSE obtains 0.75 m3/s, 3.60, and 0.70 for the rain gauge model and 0.75 m3/s, 3.30, 0.80 for the GPM model, respectively. Through this study, the use of satellite-based GPM data is expected to be more extensive to support modern agricultural management activities.

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Project Evaluation and Review Technique (PERT) Analysis in the renovation project of the Church of St. John the Evangelist, Jakarta

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IOP Conference Series: Earth and Environmental Science 2021年第1期794卷

作者： Yosica Mariana Sigit Wijaksono Architecture Department Faculty of Engineering Bina Nusantara University Jakarta Indonesia 11480 Professional Engineer Program Study Program Faculty of Engineering Bina Nusantara University Jakarta Indonesia 11480

The renovation of the St. Yohanes Evangelist Church project located on 197, Melawai Street Kebayoran Baru, Jakarta with a building area about 1480.9 m2 was chosen as a research object because the Church Construction Committee wanted to accelerate the renovation project from 2 years 5 months targeted to 1 year 5 months. This is because the Church of St. John the Evangelist as a place of worship can be immediately used again. The PERT method can be used to manage projects more efficiently and effectively; to be able to know the possibility of accelerating the duration of the project carried out on activities in the critical path and the shortening of the duration of each work on each alternative is equalized. In this study, the critical path compression step of the network using Microsoft Project and the results of the Project Evaluation and Review Technique (PERT) method, obtained a probability of 99.88%, so the renovation project of Saint John Evangelist Church can be an accelerated project to 1 year 5 months.

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