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Improvement Suggestion Performance of Blowing Machine Line 4 with Total Productive Maintenance (TPM) Method at PT. Coca-Cola Amatil Indonesia MedanUnit 1

Improvement Suggestion Performance of Blowing Machine Line 4...

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1st International Conference of SNIKOM 2018, ICoSNIKOM 2018

作者： Irwansyah, Defi Harahap, M.R.F. Erliana, Cut Ita Abdullah, Dahlan Sari, Ayuesteka Siregar, Nurintanasyiah Achmaddaengs, G.S. Indahingwati, Asmara Sumartono, Eko Wilujeng, Sri Nurmawati Subekti, Purwo Kurniasih, Nuning Rosalina, Febrianti Hartono, H. Departement of Industrial Engineering Universitas Malikussaleh Aceh Indonesia Departement of Informatics Universitas Malikussaleh Aceh Indonesia Department of Management STIE Sakti AlamKerinci Jambi Indonesia Department of Management STIE Labuhanbatu Sumatera Utara Indonesia Department of Management Universitas 45 Surabaya Indonesia Department of Management School of Economics Indonesia STIESIA Surabaya Indonesia Faculty of Agriculture Universitas Bengkulu Bengkulu Indonesia Department of Management Faculty of Economy Universitas Kanjuruhan Malang Indonesia Program Study of Industrial Engineering University of 45 Surabaya Indonesia Mechanical Engineering Pasir Pengaraian University Riau Indonesia Faculty of Communication Sciences Library and Information Science Program Universitas Padjadjaran Bandung Indonesia Department of Agrotechnology Universitas Muhammadiyah Sorong Sorong Indonesia Department of Computer Science STMIK IBBI Medan Indonesia

Maintenance is an activity to maintain facilities or equipment of the factory and make repairs or adjustments to the necessary replacement to satisfactory condition of production operations in accordance with what is planned. Companies often experience damage to the Blowing machine so that interconnected machines cannot be operated. The purpose of this study was to improve the performance of Blowing line 4 engines with the Total Productive Maintenance (TPM) method at PT. Coca-Cola Amatil Indonesia Medan Unit, also to determine the level of Blowing machine performance based on the analysis of overall equipment effectiveness (OEE) at PT. Coca-Cola Amatil Indonesia Medan Unit. The method used in this study is the overall equipment effectiveness (OEE) method to measure Ishikawa's treatments and diagrams to compare and propose low engine performance. The results of data processing shows machine maintenance has not comply the OEE standards in July 81.48%, August 81.48%, September 78.07%, October 81.22%, November 78.08%, and those that fill the standards in June amount to 86.48%, with losses that most affect the effectiveness of equipment in line 4 blowroom machine is Equipment Failure Losses of 11.42% based on the results of the study, the proposed improvement in engine performance is to provide training to employees, and increase operator awareness. against engine damage, thus the production process will run smoothly. © Published under licence by IOP Publishing Ltd.

关键词： Data handling

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Application of factor analysis method to support the users acceptance model of ERP systems implementation

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Journal of Physics: Conference Series 2021年第1期1836卷

作者： W Sardjono J Sudirwan W Priatna G R Putra Information Systems Management Department BINUS Graduate Program -Master of Information Systems Management Bina Nusantara University Jakarta Indonesia – 11480 School of Information Systems Department BINUS Undergraduate Program Bina Nusantara University Jakarta Indonesia 11480 Informatics Engineering Engineering Bhayangkara University Jakarta Raya Indonesia Computer Science Study Program Faculty of Mathematics & Natural Sciences Pakuan University Bogor Indonesia

An e-Commerce company has been using an Enterprise Resource Planning (ERP) system for several years, but is still constrained in its implementation, this is reflected in the number of issue/change request tickets submitted by users who have not been able to reach ideal conditions. To overcome this problem, we need an appropriate reference model, the ERP system user acceptance model in companies. The study conducted factors that influence the level of acceptance of SAP ERP users in the XYZ group to then determine a model that is able to explain practically the level of ERP system user acceptance, which in turn can produce concrete proposals to increase ERP system user acceptance. Research is quantitative descriptive using factor analysis and regression analysis methods. The research method uses a questionnaire with a total of 107 valid respondents coming from 8 company names under the XYZ group in 6 Southeast Asian countries. The conclusion of the study is that there are 24 indicators and 4 factors that influence user acceptance of the SAP ERP system. These four factors are the low contribution of the ERP system, the quality of ERP systems and data, the development of ERP systems, and also the low quality of ERP system supporters. It is hoped that by optimizing the value of the 4 factors, the XYZ group can increase user acceptance of the SAP ERP system so that the system can provide benefits expected by the company to be competitive advantage.

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Effect of Feedback on Learning Motivation of Primary Teacher Education Students in Primary School Physics Courses

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Journal of Physics: Conference Series 2021年第1期2019卷

作者： L K Sianipar H Sitompul L A Sanjaya R W D Puspa W A Pertiwi W Qoiriyah Department of Physics Education Universitas Pelita Harapan Tangerang 15811 Indonesia Department of Physics Faculty of Mathematics and Natural Science Universitas Negeri Jakarta Indonesia. Kartika VIII-1 Senior High School Jakarta Indonesia Islamic Education Management Study Program Faculty Islamic of Education and Teacher Training Muhammad Azim Institute Jambi Indonesia Informatics Engineering study program Faculty of Engineering Sheikh Yusuf Islamic University Tangerang Indonesia

Based on the results of the questionnaire distributed to Primary Teacher Education Students, 96% of students said that Physics is difficult to understand because the material is very complex, many formulas, especially the learning process is done online. This study aims to describe the influence of providing feedback on the motivation of Primary Teacher Education Students in primary school physics courses. The method used in this research is descriptive qualitative. Meanwhile, the instrument used was a questionnaire which was distributed to 115 elementary school education students. The result of the research shows that giving feedback consistently is able to motivate students. This can be seen from the results of the questionnaires distributed, each indicator is of very good value.

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BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets

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Nature methods 2023年第6期20卷 824-835页

作者： Linus Manubens-Gil Zhi Zhou Hanbo Chen Arvind Ramanathan Xiaoxiao Liu Yufeng Liu Alessandro Bria Todd Gillette Zongcai Ruan Jian Yang Miroslav Radojević Ting Zhao Li Cheng Lei Qu Siqi Liu Kristofer E Bouchard Lin Gu Weidong Cai Shuiwang Ji Badrinath Roysam Ching-Wei Wang Hongchuan Yu Amos Sironi Daniel Maxim Iascone Jie Zhou Erhan Bas Eduardo Conde-Sousa Paulo Aguiar Xiang Li Yujie Li Sumit Nanda Yuan Wang Leila Muresan Pascal Fua Bing Ye Hai-Yan He Jochen F Staiger Manuel Peter Daniel N Cox Michel Simonneau Marcel Oberlaender Gregory Jefferis Kei Ito Paloma Gonzalez-Bellido Jinhyun Kim Edwin Rubel Hollis T Cline Hongkui Zeng Aljoscha Nern Ann-Shyn Chiang Jianhua Yao Jane Roskams Rick Livesey Janine Stevens Tianming Liu Chinh Dang Yike Guo Ning Zhong Georgia Tourassi Sean Hill Michael Hawrylycz Christof Koch Erik Meijering Giorgio A Ascoli Hanchuan Peng Institute for Brain and Intelligence Southeast University Nanjing China. Microsoft Corporation Redmond WA USA. Tencent AI Lab Bellevue WA USA. Computing Environment and Life Sciences Directorate Argonne National Laboratory Lemont IL USA. Kaya Medical Seattle WA USA. University of Cassino and Southern Lazio Cassino Italy. Center for Neural Informatics Structures and Plasticity Krasnow Institute for Advanced Study George Mason University Fairfax VA USA. Faculty of Information Technology Beijing University of Technology Beijing China. Beijing International Collaboration Base on Brain Informatics and Wisdom Services Beijing China. Nuctech Netherlands Rotterdam the Netherlands. Janelia Research Campus Howard Hughes Medical Institute Ashburn VA USA. Department of Electrical and Computer Engineering University of Alberta Edmonton Alberta Canada. Ministry of Education Key Laboratory of Intelligent Computation and Signal Processing Anhui University Hefei China. Paige AI New York NY USA. Scientific Data Division and Biological Systems and Engineering Division Lawrence Berkeley National Lab Berkeley CA USA. Helen Wills Neuroscience Institute and Redwood Center for Theoretical Neuroscience UC Berkeley Berkeley CA USA. RIKEN AIP Tokyo Japan. Research Center for Advanced Science and Technology (RCAST) The University of Tokyo Tokyo Japan. School of Computer Science University of Sydney Sydney New South Wales Australia. Texas A&M University College Station TX USA. Cullen College of Engineering University of Houston Houston TX USA. Graduate Institute of Biomedical Engineering National Taiwan University of Science and Technology Taipei Taiwan. National Centre for Computer Animation Bournemouth University Poole UK. PROPHESEE Paris France. Department of Neuroscience Columbia University New York NY USA. Mortimer B. Zuckerman Mind Brain Behavior Institute Columbia University New York NY USA. Department of Computer Science Northern Illinois Universit

BigNeuron is an open community bench-testing platform with the goal of setting open standards for accurate and fast automatic neuron tracing. We gathered a diverse set of image volumes across several species that is representative of the data obtained in many neuroscience laboratories interested in neuron tracing. Here, we report generated gold standard manual annotations for a subset of the available imaging datasets and quantified tracing quality for 35 automatic tracing algorithms. The goal of generating such a hand-curated diverse dataset is to advance the development of tracing algorithms and enable generalizable benchmarking. Together with image quality features, we pooled the data in an interactive web application that enables users and developers to perform principal component analysis, t-distributed stochastic neighbor embedding, correlation and clustering, visualization of imaging and tracing data, and benchmarking of automatic tracing algorithms in user-defined data subsets. The image quality metrics explain most of the variance in the data, followed by neuromorphological features related to neuron size. We observed that diverse algorithms can provide complementary information to obtain accurate results and developed a method to iteratively combine methods and generate consensus reconstructions. The consensus trees obtained provide estimates of the neuron structure ground truth that typically outperform single algorithms in noisy datasets. However, specific algorithms may outperform the consensus tree strategy in specific imaging conditions. Finally, to aid users in predicting the most accurate automatic tracing results without manual annotations for comparison, we used support vector machine regression to predict reconstruction quality given an image volume and a set of automatic tracings.

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The Need of Catering Food Materials using Lotting Technique

The Need of Catering Food Materials using Lotting Technique

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International Conference on informatics, engineering, science and Technology, INCITEST 2018

作者： Robecca, J. Sudrajat, D. Study Program of Industrial Engineering Faculty of Engineering and Computer Science Universitas Komputer Indonesia Jl. Dipatiukur no. 112-116 Bandung Indonesia

The purpose of this study is to Minimize the purchase cost for each food from the catering menu. Therefore, raw material inventory control method is needed to plan arrival schedule, order schedule, and the amount of ordering of each foodstuff. The technique of deterMining the amount of ordering (lotting technique) used there are three, namely the least unit cost technique, the lot for lot technique and the least total cost technique. The results of this study indicate that the company can Minimize the cost of purchasing food based on lead time, storage time limit, and optimal lotting techniques. Lead time is the period between the order to the delivery time, the storage time limit is how long the best time required for the quality of foodstuffs are maintained, while the lotting technique is the optimal size of order quantity. The lotting technique chosen for each type of food material is different. The cost of purchasing the food consists of the price of the foodstuff, the ordering fee for the type of material and the storage cost for the type of foodstuff. There are 16 types of foodstuffs with the cost of purchasing the smallest raw material with the lot for lot techniques. There are 29 types of foodstuffs with the cost of purchasing the smallest raw materials using the least unit cost techniques. And 10 types of foodstuffs with the least total cost technique as a lotting technique with the purchase of the smallest raw material. Of the 55 types of food raw materials, the company was able to save the cost of purchasing groceries of 33,006,371.75 IDR per month. Of course, in order to apply this planning, the company must provide facilities in order to extend the life of the foodstuff in accordance with predeterMined lead time and to ensure the quality of the foodstuff is guaranteed. © Published under licence by IOP Publishing Ltd.

关键词： Costs

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Web of Things to control planting seeds and watering plants for indoor smart farm

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IOP Conference Series: Materials science and engineering 2021年第5期1098卷

作者： M P T Sulistyanto E Febriawan I Sulistiyowati Informatics Study Program Faculty of Science and Technology Universitas Kanjuruhan Malang Jl. S. Supriadi No. 48 Malang Jawa-Timur Indonesia Electrical Engineering Faculty of Science and Technology Universitas Muhammadiyah Sidoarjo Jl. Raya Gelam 250 Candi Sidoarjo Jawa Timur Indonesia

With the emergence of the Web of Things (WoT) as Internet of Things (IoT) enhancement in web application, the Industrial Revolution 4.0 has developed very rapidly. Its technology has been commonly used in various fields of life, especially in agriculture. One of the crop plants is often achieved by vegetable farming, as vegetables are the staples of daily life. Aim this study is for plating mustard green seeds and watering plant using WoT. This method begins by doing literature review, requirement analysis, design and implementation. The result shows the developing of prototype to planting mustard seeds and watering plant is successful that it can be remotely operated through WoT. The planting and watering process uses Gcode command to carry out seed picks, planting seeds, and water plants.

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Application of K-Medoids Cluster Result with Particle Swarm Optimization (PSO) in Toddler Measles Immunization Cases

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Journal of Physics: Conference Series 2021年第1期1933卷

作者： Eka Pandu Cynthia Indra Riyana Rahadjeng Erfan Karyadiputra Fauzi Yusa Rahman Agus Perdana Windarto Martalina Limbong Teguh Iman Hermanto E. Rusiadi Y Yarmani Informatics Engineering Study Program Faculty of Science and Technology UIN Sultan Syarif Kasim Riau Indonesia Universitas Bina Sarana Informatika Jakarta Indonesia Universitas Islam Kalimantan Muhammad Arsyad Al Banjari Banjarmasin Indonesia STIKOM Tunas Bangsa Pematangsiantar Indonesia Akademi Keperawatan Surya Nusantara Pematangsiantar Indonesia Informatics Engineering Study Program Sekolah Tinggi Teknologi Wastukancana Indonesia Universitas Pembangunan Panca Budi Medan Indonesia Universitas Bengkulu Bengkulu Indonesia

The objective of the research was to analyze the clustering method by optimizing Particle Swarm Optimization (PSO) in the case of measles immunization for children under the age of 5. The research data source used is the North Sumatra Province Central Bureau of Statistics (https://***/). The data used in 2019 included 33 records with variables BCG, DPT-HB3/DPT-HB/Hib3, CAMPAK (MEASLES + RUBELLA), POLIO 4 and HEPATITIS B. The methods used were k-medoids and PSOs. This method is used to determine the value of the Davies Bouldin Index (DBI) before the cluster value is determined (k). The resulting k values were compared to k-medoids without PSO. The best results of k-medoid and PSO will be tested by classification to see the accuracy value of the cluster formed. The results showed that the optimization of k-medoids and PSO was better with the number of clusters (k = 5) than 0.078. (DBI). The results also show that the accuracy of the cluster formed is 95% with a correlation of 0.98.

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Design, Synthesis and Evaluation the Bioactivites of Novel Quinazoline Derivatives as Immune Checkpoint Inhibitors

SSRN

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SSRN 2023年

作者： Vo, Tam Thuy Lu Hoang, Van-Hai Dung, Phan Thi Phuong Nguyen, Tiep K. Ngo, Son Tung Nguyen, Yen Thi Kim Nguyen, Thanh Xuan Hien, Tran Thi Thu Hoang, Tham H. Thi Do, Yen Seo, Ji Hae Tran, Phuong-Thao Department of Biochemistry Keimyung University School of Medicine Daegu42601 Korea Republic of Faculty of Pharmacy and Nursing Tay Do University 68 Lo Hau Thanh My Can Tho900000 Viet Nam Faculty of Pharmacy PHENIKAA University Hanoi12116 Viet Nam PHENIKAA University Yen Nghia Hadong Hanoi12116 Viet Nam Hanoi University of Pharmacy 13-15 Le Thanh Tong Hanoi100000 Viet Nam Laboratory of Biophysics Institute for Advanced Study in Technology Ton Duc Thang University Ho Chi Minh City72915 Viet Nam Faculty of Pharmacy Ton Duc Thang University Ho Chi Minh City72915 Viet Nam Research Institute of Pharmaceutical Sciences College of Pharmacy Seoul National University 1 Gwanak-ro Gwanak-gu Seoul08826 Korea Republic of Department of Neurosurgery Viet-Duc University Hospital Hanoi100000 Viet Nam Vietnam University of Traditional Medicine 2 Tran Phu Ha Dong Hanoi100000 Viet Nam Center for Biomedical Informatics Vingroup Big Data Institute 458 Minh Khai Street Hai Ba Trung Hanoi100000 Viet Nam College of Engineering and Computer Science VinUniversity Vinhomes Ocean Park Gia Lam Hanoi100000 Viet Nam

Indoleamine 2,3-dioxygenase (IDO1) has emerged as a critical immune checkpoint with profound implications in numerous types of cancer. Dysregulation of IDO1 has prompted considerable interest in IDO1 as a target in immuno-oncology therapy. Herein, we report novel quinazoline derivatives specifically designed to target IDO1. Based on the active site of apo-IDO1 and a clinical trial cadidate, linrodostat, we designed novel, selectively targeting cancer cell derivatives with micromolar IC50 values. Via docking study, we confirm the robust binding affinity of these quinazoline compounds to apo-IDO, firmly establishing their potential as IDO1 targeted agents. We also uncover that these compounds suppress immuno-oncology target PD-L1 in addition to IDO1. Intriguingly, compound V-d emerges as a stand out, triggering cell death through caspase-dependent and caspase-independent manners. More importantly, V-d presents it ability to hinder tumor sphere formation and re-sensitized cisplatin-resistant A2780 cells to cisplatin treatment. These findings suggest that compound V-d emerges as a promising lead candidate for the future development of immuno anticancer agents. Our study offers exciting prospects for enhanced cancer therapy. © 2023, The Authors. All rights reserved.

关键词： Oncology

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Augmented Reality for Presenting Local Wisdom: Sumatera Utara Traditional House 3

Augmented Reality for Presenting Local Wisdom: Sumatera Utar...

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3rd International Conference on Computing and Applied informatics 2018, ICCAI 2018

作者： Syahputra, M.F. Aulia, R. Sitompul, O.S. Andayani, U. Abdullah, D. Sriadhi, S. Nanuru, R.F. Utama, M.D. Manurung, R.T. Djanggih, H. Mouw, E. Department of Information Technology Faculty of Computer Science and Information Technology Universitas Sumatera Utara Medan Indonesia Department of Informatics Universitas Malikussaleh Aceh Utara Indonesia Department of Electrical Engineering Universitas Negeri Medan Indonesia Universitas Kristen Indonesia Maluku Ambon Indonesia Graduate Program in Scientific Psychology Universitas Kristen Maranatha Indonesia Faculty of Law Universitas Tompotika Luwuk Banggai Indonesia Faculty of Social and Human Sciences Universitas Halmahera Indonesia

Augmented Reality is a technology that allows users to see the real world, with virtual objects placed on it or combined with the real world. Augmented Reality itself can be applied to various things, including as an educational media. In the field of education, technology can be used a culture introduction to society. One part of Indonesian culture is traditional houses. Traditional house is a building that symbolizes the culture of the local community. In North Sumatra itself, there are several traditional houses that have different forms. The use of Vuforia SDK in the construction of this application can display augmented objects in the form of 3-dimentional objects and also provide information on the house. This application will run on the Android mobile platform to make it easier for users to access it. In addition, users can choose their own objects to be used as markers to make the application use much easier. © 2019 Published under licence by IOP Publishing Ltd.

关键词： Augmented reality

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Measuring the quality of various version an object-oriented software utilizing CK metrics 1

Measuring the quality of various version an object-oriented ...

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1st International Conference on Information and Communications Technology, ICOIACT 2018

作者： Binanto, Iwan Warnars, Harco Leslie Hendric Spits Gaol, Ford Lumban Abdurachman, Edi Soewito, Benfano Informatics Department Faculty of Scence and Engineering Sanata Dharma University Yogyakarta55002 Indonesia Computer Science Department BINUS Graduate Program - Doctor Computer Science Bina Nusantara University Jakarta11480 Indonesia

ISBN: (纸本)9781538609545

There are many object-oriented software quality measurement techniques. One of them is CK metric. This paper utilizes CK metrics to measure qualities per version of an open source software namely Statcato. Measurements are done in each class, each version of the software. The measurement is used to analyze the quality of the software. This paper concludes that the quality of software has improved during its lifecycle, although its features increase. © 2018 IEEE.

关键词： Open source software

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