Tag Archive for: Teknik Industri UII

Webinar Machine LearningIP IE UII
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IPIEUIITalk on Big Data 2 : Machine Learning for Biological and Social Media Data Mining

International Program, Industrial Engineering Study Program, Universitas Islam Indonesia proudly announces that a series of Studium Generale (SG) has begun. The SG will discuss the implementation of Big Data for Machine Learning. Let’s join this free webinar.

A door prize of Rp. 100.000 e-money for the 3 best participants and e-certificate for present participants upon following the International Program Instagram Account: international_ieuii

This webinar will live on International Program Industrial Engineering UII Youtube Channel.

You will meet our distinguished Lecturers who are going to share the implementation of Big Data in the real world.

IP IE UII Webinar Machine Learning

IP IE UII Webinar Machine Learning

1. Prof. Anirban Mukhopadhyay
Professor & Former Head
Department of Computer Science and Engineering
University of Kalyani. Kalyani-741235, Nadia, West Bengal, India.
“Machine Learning for Biological Data Mining”

2. Winda Nur Cahya, S.T., M.Sc., Ph.D
Head of Magister Industrial Engineering, UII
“Social Media Data Mining”

Moderator : Annisa Uswatun Khasanah, S.T., M.Sc.

The Schedule of this event is on Saturday, 21st November 2020, 9:45 AM – 01.00 PM.
If you have any inquiries, don’t hesitate to contact International Program IE UII through email: [email protected]

This GL is free for you to enhance your knowledge.
e-Certificate will be issued for present participants

Stay tuned & don’t miss it.

 

Below is youtube link for our previous event:
Big Data: Accelerated Data Science Ecosystem with GPU and RAPIDS (07 November 2020)

IP IE WEBINAR SERIES PROJECT MANAGEMENT GUEST LECTUREIP IE UII
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IPIEUIITalk : Project Management Guest Lecture

Assalamu’alaikum  wr.wb.

Again, International Program always brings you interesting topics that will be beneficial for your career development. Project management is exactly highly required to all organizations ranging from construction management up until software/IS Development.

Then, to give you an idea that Project Management is not only for construction management  domain, then  International Program of Department of Industrial Engineering UII in collaboration with Project Management Institute Indonesia  is  organizing a free webinar that will uncover all practical implementation of Project management in various fields.

This event is hosted by International Program, Department of Industrial Engineering, Faculty of Industrial Technology, Universitas Islam Indonesia to accommodate the students and public with significant information about :
1. How project Management is implemented in various fields and
2. How to legally expose your Project Management skills by holding a professional Certification on Project Management with CAPM (Certified Associate in Project Management).

Distinguished and Professional experts will present in this Webinar to share beneficial knowledge and valuable experience.

Speakers:
Bronsen Wijaya, MPM., PMP. (Project Director at PT Exacta Pranata Enjiniring)
Arief Prasetyo, PMP., PMI-RMP. (Integration Project Manager at Schlumberger)
Jerry M. Samosir, PMP., PMI-RMP., PMI-ACP. (Program Manager at Cisco)

Moderator:
Suci Miranda, S.T., M.Sc.

 

IP IE WEBINAR SERIES PROJECT MANAGEMENT GUEST LECTURE

IP IE WEBINAR SERIES PROJECT MANAGEMENT GUEST LECTURE

 

So , don’t be late. Let’s join this free webinar.

A door prize of Rp. 100.000 e-money for the 3 best participants and e-certificate for present participants upon following the International Program Instagram Account: international_ieuii.

If you have any questions, don’t hesitate to send your Question to : [email protected]

Wassalamu’alaikum.

 

Webinar e-HelathIP IE UII
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IPIEUIITalk: Standard and Conformity Assessment as Enabler of ICT based Health Services

National Standardization Agency of Indonesia (Badan Standardisasi Nasional (BSN)) in collaboration with International Program, Industrial Engineering UII, Gadjah Mada University (UGM), Universitas Indonesia, Underwriters Laboratory (UL) Asia Pacific, IEEE, and Ministry of Health of Republic Indonesia will present a webinar to celebrate Quality Month 2020. This webinar will share how e-health standardization is implemented in IT-based health services. You will meet distinguished speakers to get the most updated information around the e-health standards and implementation of AI in e-health. Let’s join this free webinar. A door prize of Rp. 100.000 e-money for the 3 best participants and e-certificate for present participants upon following the International Program Instagram Account: international_ieuii

Webinar e-Helath

Webinar e-Health

Since the pandemic strikes the world, every country has tried to prevent and mitigate the risk of Covid-19. The government, with all stakeholders, are working side by side to discover a prompt and precise solution. Information and Communication Technology (ICT) plays its role in accommodating better healthcare, to prevent and to mitigate the pandemic in Indonesia. Exactly how the standard and conformity assessment as an enabler, for ICT plays its role in the health sector will be discussed in this webinar.

Sejak pandemik melanda dunia, setiap negara berusaha melakukan pencegahan dan memitigasi dampak covid19. Pemerintah bersama stakeholder bekerjasama mencari solusi cepat dan tepat. TIK turut berperan didalamnya. Lalu bagaimanakah peran standar dan penilaian kesesuaian sebagai enabler layanan kesehatan berbasis TIK, akan dibahas pada webinar ini dengan pembicara :
1. Direktur Pelayanan Kesehatan Rujukan Kementerian Kesehatan, dr. Rita Rogayah, Sp.P (K), M.A.R.S.
Regulasi pelayanan telemedicine antar fasilitas layanan Kesehatan di Indonesia.

2. James Keller dan Paul B. Zang, Underwriters Laboratory US and China
Memaparkan Global trends Telehealth dan pemanfaatan Artificial Inteligent (AI) serta sertifikasi/pengujian healthcare berbasis TIK.

3. Prof. Dr. Wisnu Jatmiko
Inovasi Telehealth dan AI di bidang kesehatan. (https://bit.ly/3myQeDG dan https://bit.ly/2TFtW6J)

4. Prof. Dr. Kuwat Triyana, M.Si
GeNose, inovasi alat deteksi Covid19 menggunakan AI serta peran standar dalam hilirisasi hasil penelitian perguruan tinggi untuk masyarakat dan/industri.
https://bit.ly/3oOEiQn

5. Ir. Ira Promasanty Rachmadewi, M.Eng
Penerapan standardisasi e-kesehatan (e-health) baik di perkotaan dan pedesaan.

This Webinar is free and e-Certificate will be issued for present participants.

 

Stay tuned and Don’t miss it !

IP IE UII Lecture Series on Big DataIP IE UII
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IPIEUIITalk on Big Data 1 : Accelerated Data Science Ecosystem with GPU & RAPIDS

International Program, Industrial Engineering Study Program, Universitas Islam Indonesia proudly announces that a series of Studium Generale (SG) is about to begin. The SG will discuss the implementation of Big Data Technology. IP IE collaborating with Novaglobal Pte Ltd from Singapore is arranging this webinar for you to update your knowledge. You also will uncover Research opportunities on Big Data for Industrial Engineering. Let’s join this free webinar. A door prize of Rp. 100.000 e-money for the 3 best participants and e-certificate for present participants upon following the International Program Instagram Account: international_ieuii

We are going to see how RAPIDS and the open-source ecosystem are advancing data science. In this session, we will explore RAPIDS, the new open-source data science platform from NVIDIA. Learn how to get started leveraging these open-source libraries for faster performance and easier development on GPU. See the latest engineering work and new release features including benchmarks, roadmaps, and demos. Finally, hear the stories on how data scientists across the world are leveraging on RAPIDS in production, how they benefit from early adoption, and how GPU outperform CPU equivalents.

Registration Big Data Webinar

Registration Big Data Webinar

IP IE UII Lecture Series on Big Data

IP IE UII Lecture Series on Big Data

Our distinguished speakers are ready to share with you the implementation of Big Data in the real world.

1. M. Andi Ariffin, ST
Novaglobal Pte Ltd
“Accelerated Data Science Ecosystem with GPU & RAPIDS”

2. Muhammad Ridwan, S.T, M.Sc., PhD
Head of Industrial Engineering Department, Universitas Islam Indonesia.
“Research Opportunities on Big Data Application in Industrial Engineering.”

Moderator:

Ir. Muhammad Ragil Suryoputro, S.T., M.Sc. (Secretary of Industrial Engineering Department, Universitas Islam Indonesia)

The Schedule of this event is on Saturday, 7th November 2020, 9:00 AM – 01.00 PM.
If you have any inquiries, don’t hesitate to contact International Program IE UII through email: [email protected]

This GL is free for you to enhance your knowledge.
e-Certificate will be issued for present participants

Stay tuned & don’t miss it.

 

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Informasi Kemahasiswaan dan Akademik Teknik Industri UII

Assalamu’alaikum Wr.Wb.

Di Teknik Industri, kalian bisa mengembangkan potensi diri melalui softskill lo..
Dalam pembentukan karakter yang kuat, kegiatan yang mendukung softskill itu penting.. Softskill sangat berperan dalam mencapai kesuksesan.. Oya? Hehe.. Kalian akan merasakannya nanti, bahkan akan terasa saat merintis karir.. Nikmati prosesnya saja yaa..
Dalam menempa softskill, di Fakultas Teknologi Industri sangat mendukung dan mendorong berbagai kegiatan kemahasiswaan lo..
Silakan dicek dan dipelajari yaa terkait kegiatan kemahasiswaan, layanan kemahasiswaan, dan program pengembangan karir dan alumni. Lengkap bukan.. Jangan bingung dan jangan malu bertanya ya..

Hmm.. Lalu bagaimana kegiatan perkuliahannya? Terlebih sedang masa pandemi.. Nah.. Silakan buka panduan penggunaan Google Classroom yaa..

Selain info-info kece tersebut ada juga panduan UIIRAS melalui Gateway dan Panduan Penggunaan UIIAkademik.
Apa kegunaan itu semua? Silakan dibuka ya.. Agar khatam mengenal UII lebih jauh.

Adapun panduan presensi Mahasiswa dapat di akses link di bawah ya..

Wassalamu’alaikum Wr. Wb.

Link Download :

  • Panduan Kuliah Daring Menggunakan Google Classroom klik disini
  • Panduan UIIRAS Mahasiswa di UIIGateway klik disini
  • Info Layanan Kemahasiswaan UII klik disini
  • Kegiataan Kemahasiswaan dan Satuan Kredit Partisipasi klik disini
  • Program Pengembangan Karier DPKA UII klik disini
  • Panduan Presensi Mahasiswa FTI klik disini
  • Sosial media Perpustakaan UII @perpustakaanuii
  • Informasi layanan mahasiswa lainnya ada disini

 

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Penjelasan Akademik Mahasiswa Baru Teknik Industri UII

Assalammualaikum Wr. Wb

Selamat datang Mahasiswa Baru Teknik Industri UII. Selamat, kalian adalah orang-orang terpilih yang akan berproses menjadi cendekia muda, pemimpin muda, dan orang-orang hebat yang berkarakter kuat.

Sebelum kalian memulai kuliah, ada acara penting nih, yang wajib diikuti oleh mahasiswa baru. Yaitu acara penjelasan akademik yg akan menjelaskan seluk beluk proses akademik di jenjang S1, International Program, fast track, dan peluang karir Teknik Industri.

Acara tersebut akan dilaksanakan pada

Sebelum mengikuti acara tersebut, silakan isi formulir berikut link http://bit.ly/MabaTIUII2020

Untuk Tata Tertib Acara dan Virtual Background Zoom bisa di download disini 

Selamat bergabung dan tetap semangat..

Wassalammualaikum Wr. Wb.

NB :

  • Download Buku Panduan Akademik Teknik Industri Reguler disini
  • Download Buku Panduan International Program disini
Student Exchange in Sustainable Manufacturing
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IP IE News: Virtual Student Exchange in Sustainable Manufacturing

International Program, Department of Industrial Engineering offers Virtual Student Exchange Programs in Sustainable Manufacturing. It will be lecture series run in one semester during Odd Term 2020/2021.

Participants will be enrolled in one semester, a non-degree program with no fees incurred. Participants will also receive certificates and/or earn Credit Transfers.

For Applying the exchange, click  http://bit.ly/exchangestudentIPIE

Send any inquiries  to:

Student Exchange in Sustainable Manufacturing

COURSE DESCRIPTION :

The UN Brundtland Commission defines sustainable development as “ development  that meets the needs of the present without compromising the ability of future generations to meet their own needs.”  This is often linked with the concept of the Triple Bottom Line in which sustainability is the balance of the intersection between economic (profit), environmental (planet), and social (people).

 

In sustainable manufacturing, the focus is not only on how the product is made but also on the inputs, the manufacturing processes, and the design of the product.

 

Sustainable manufacturing also takes into consideration the amount of energy and material to produce the product, the amount of waste, the use of fewer hazardous materials, and recyclability or lower energy use of the product. These can be achieved from  very simple process improvements to large investments in new technologies and product redesign

 

This course introduces students to sustainable manufacturing in practice along the life cycle of a product discussing  the following topics

 

  1. Renewable materials
  2. Fewer materials and inputs and materials that are non-hazardous or recycled
  3. Modification of production processes to use less energy, water, and materials and to produce less waste
  4. Using less packaging, lowering product weight, using more efficient transportation and logistics
  5. Designing products to be reusable, remanufacturable, recyclable, or biodegradeable
  6. Expanding the life of the product
  7. Reducing the environmental impact of sales and distribution

 

openLCA, an open source, and free software for Sustainability and Life Cycle Assessment will be extensively used.

 

Student Exchange on Big DataIP IE UII
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Virtual Student Exchange in Big Data

International Programs, Department of Industrial Engineering Universitas Islam Indonesia carries out a Virtual Student Exchange in Big Data. It will be lecture series run in one semester during Odd Term 2020/2021.

Participants will be enrolled in one semester, a non-degree program with no fees incurred. Participants will also receive certificates and/or earn Credit Transfers.

The Lecture will be delivered in a team teaching of Lecturer from the Department of Industrial Engineering, Universitas Islam Indonesia, and Tu Wien Austria.

For Applying the exchange, click  http://bit.ly/exchangestudentIPIE

Any inqueries can be forwarded to :

email : [email protected] , line : ip_ieuii

Student Exchange on Big Data

Virtual Student Exchange in Big Data

 

COURSE DESCRIPTION :

Managing information flow for accurate and fast response decision making in the Artificial Intelligence era is very challenging today.  New technologies, devices, and social applications are revolutionizing data management in many domains of activities in business, public administration, and scientific research. Types of data are getting complicated. Organizations must face a massive amount of data on a daily basis ranging from text, images, sound, video (multimedia) coming from many sources of online and offline transactions. We are in the Big Data world. Big Data is continuously changing the way organizations run their businesses.

 

Organizations need to improve their ability to understand and analyze big data to take full advantage of its power in making the right and timely decisions such as strategic decision making and identify new business opportunities. Also, a massive level of information raises the high demand for data scientists and business analysts to help organizations gathering and analyzing data insights.

 

This course is designed to learn how big data is organized, analyzed and interpreted for enhancing decision making. Some practical big data analytic will be discussed for understanding what insight big data. This course will explore big data in practice and tools and technology employed to manage big data in an organization.

 

Course Outline:

  1. Introduction to Big Data. Topics such as What is Big Data, Types of Big Data, Source of Big Data, Big Data in Practice will be discussed.
  2.  Introduction to Technology of big data: Hadoop, Spark, NoSQL, Python, R.
  3. Machine learning with Big dataThis topic will introduce machine learning techniques to explore, analyze, and leverage data. Some technology and tools and algorithms will be discussed to create machine learning models. The big data analytics will use algorithms that run on Spark with Python. This topic also discusses Predictive Analytics, Descriptive Analytics, and Social Network Analytics.
  4. Big Data Projects

Source :

  • Baesens, Bart. Analytics in a Big Data World. The Essential Guide to Data Science and its Applications. John Wiley & Sons. 2014. Dasgupta, Nataraj. Practical Big Data Analytics. Packt Publishing. 2018.
  • Dasgupta, Nataraj. Practical Big Data Analytics. Packt Publishing. 2018.
  • Deitel, Paul J. Intro to Python for Computer Science and Data Science. Learning to Program with AI, Big Data, and Cloud. Pearson Education.2020.
  • Marr, Bernard. Big Data in Practice. How 45 Successful Companies Used Big Data Analytics to Deliver Extraordinary Results. John Wiley & Sons.2016.