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This course provides students with the materials and learning environment to understand several areas of academic research as it pertains to the field of human resource management (HRM), and its alignment to business strategy and organization performance.  Hence, this seminar covers research areas including: Strategic management, strategic human resource management, organization and employee performance management, strategic human resource planning, people development and training, training need analysis, organization design and behavior, and using research methods from strategic and performance management, HRM, behavioral research literatures. The seminar will help students to exercise their knowledge in strategic, performance, and human resource management by building a mini-research project plan.

Kuliah ini dirancang untuk mahasiswa sekolah bisnis. Kuliah ini memberikan wawasan tentang bagaimana bisnis saat ini memanfaatkan teknologi dan sistem informasi untuk mencapai tujuan perusahaan. Selain itu, kuliah ini menyediakan cakupan yang komprehensif dan integratif dari teknologi baru yang penting dan aplikasi sistem informasi berikut dampaknya terhadap model bisnis dan pengambilan keputusan manajerial. Kuliah ini dirancang untuk meningkatkan keterlibatan mahasiswa dan meningkatkan pembelajaran melalui contoh nyata. Mahasiswa akan menemukan informasi terbaru dan relevan tentang sistem informasi yang digunakan oleh bisnis saat ini yang menarik perhatian mahasiswa terlepas dari industri atau vertikal minat mereka. Melalui kuliah ini, mahasiswa akan membangun keterampilan yang dicari di tempat kerja saat ini. Nantinya, mereka akan dapat memahami, berpartisipasi, dan pada akhirnya memimpin diskusi manajemen dan mendorong keputusan tentang sistem informasi perusahaan mereka.

This course is designed for business school students. It provides insight into how today's businesses leverage information technologies and systems to achieve corporate objectives. Also, it provides comprehensive and integrative coverage of essential new technologies and information system applications and their impact on business models and managerial decision-making. This course increases student engagement and enhances learning through vivid examples. Students will find the most up-to-date, relevant information about information systems used by today’s businesses—capturing students’ attention no matter their industry or vertical of interest. With the help of this course, students will build skills sought after in today’s workplace. Later, they will be able to understand, participate in, and eventually lead management discussions and drive decisions about their firm’s information systems.

Sistem manufaktur sebagai bagian penting dari industri modern harus dirancang dan dikendalikan dengan baik untuk mencapai tujuan strategis misalnya memenuhi kebutuhan pelanggan baik jumlah yang tepat, kualitas, dan waktu pengiriman yang lebih singkat. Kriteria tersebut akan memastikan perusahaan untuk bertahan dan bersaing secara optimal. Mata kuliah ini membahas tentang komponen dari sistem manufaktur dan cara pengelolaannya. Komponen penyusun sistem manufaktur seperti fasilitas produksi, penyimpanan dan penanganan material, serta inspeksi sebagai satu sistem yang diperlukan untuk menghasilkan produk konkrit (tangible products). Karakteristik operasi sistem manufaktur sangat dipengaruhi oleh rancangannya. Akan dibahas karakteristik operasi dari sebuah sistem manufaktur yang meliputi laju produksi, waktu siklus, dan manufacturing lead time, dan kebutuhan sumber daya yang diperlukan untuk memenuhi suatu permintaan produk. Akan dibahas pula hal-hal yang berkaitan dengan perkembangan dan upaya peningkatan efisiensi sistem manufaktur seperti Otomasi System Manufaktur, Pemanfaatan Flexible Manufacturing System, Just-in-Time Production System, Lean Manufacturing System, dan Agile Manufacturing System.

Manufacturing systems as an important part of modern industry must be well designed and controlled to achieve strategic goals such as meeting customer needs in terms of quantity, quality, and shorter delivery times. These criteria will ensure that the company survives and competes optimally. This course discusses the components of a manufacturing system and how to manage them. The components of a manufacturing system such as production facilities, storage and material handling, and inspection as a system needed to produce tangible products. The operating characteristics of a Manufacturing System are greatly influenced by its design. The operating characteristics of a Manufacturing System will be discussed, including production rate, cycle time, and Manufacturing Lead Time, as well as the resource requirements needed to meet a product demand. Matters related to the development and efforts to improve the efficiency of Manufacturing Systems such as Manufacturing System Automation, utilization of Flexible Manufacturing Systems, Just-in-Time Production Systems, Lean Manufacturing Systems, and Agile Manufacturing Systems will also be discussed.

At the end of this course, students should: 

1. Understand concepts of discrete probability, conditional probability, independence, and be able to apply these concepts to engineering applications (selected by instructor). 

2. Understand mathematical descriptions of random variables including probability mass functions (PMFs), cumulative distribution functions (CDFs), probability distribution functions (PDFs), conditional mass, conditional distribution and conditional density functions. 

3. Be familiar with some of the more commonly encountered random variables, in particular the Gaussian random variable. 

4. Be able to calculate various moments of common random variables including at least means, variances and standard deviations. 

5. Be able to calculate the distribution of a function of a random variable. 

6. Be able to apply the concepts of random variables to engineering applications (selected by instructor). 

7. Be able to mathematically characterize multiple random variables using joint PMFs, joint CDFs and joint PDFs. 

8. Understand how to formulate the joint PDF of multiple Gaussian random variables. 

9. Understand correlation, covariance, correlation coefficient and how these quantities relate to the independence of random variables 

10. Be able to apply the concepts of multiple random variables to engineering applications (selected by instructor). 

11. Be able to compute the sample mean and sample standard deviation of a series of independent observations of a random variable. 

12. Be able to estimate the CDF and PDF of a random variable from a series of independent observations. 

13. Understand the law of large numbers and the central limit theorem and how these concepts are used to model various random phenomena (selected by instructor). 

14. Be able to compute confidence intervals associated with sample means 

15. Be able to use statistical concepts to analyze and interpret engineering data

Materi Struktur Data mempelajari berbagai macam struktur penyimpanan, penyusunan dan pengaturan banyak data serta algoritma terkait. Konsep abstraksi data dibahas untuk menentukan jenis struktur data secara linear maupun non-linear dengan contoh-contoh permasalahan. Praktikum dalam bahasa C/C++ dilakukan untuk implementasi struktur data yang sesuai dalam menyelesaikan masalah.

The subject of Data Structures studies various storage structures, the arrangement and management of large amounts of data and related algorithms. The concept of data abstraction is discussed to determine the type of data structure in a linear or non-linear manner with examples of problems. Practical work in C/C++ was conducted for the implementation of appropriate data structures in solving problems.

Course Learning Outcome:

1. Mahasiswa mampu melakukan abstraksi data pada permasalahan nyata menurut konsep struktur data linear (stack, queue), non-linear (tree, graph) dan menggunakan C/C++.

Students are able to abstract data on real problems according to the concept of linear data structures (stack, queue), non-linear (tree, graph) and using C/C++.

2.  Mahasiswa mampu mengimplementasikan algoritma-algoritma akses struktur data linear statis (array) dan dinamis (linked-list) untuk menyelesaikan permasalahan berdasarkan pada masuknya urutan data (FIFO, LIFO) menggunakan C/C++

Students are able to implement data access on linear static and dynamic data structures, array and linked list, to solve the problems based on order of data entry (LIFO, FIFO) using C/C++

3. Mahasiswa mampu menjelaskankan terminologi-terminologi dalam graf, menjelaskan dan menerapkan topological sort, mencari jarak terpendek dan minimum-cost spanning tree pada suatu graf.

Students are able to explain terminology in graphs, explain and apply topological sort, find the shortest distance and minimum-cost spanning tree in a graph.

4. Mahasiswa mampu mengimplentasikan tabel-hash, untuk mengakses data berdasarkan pemetaan data kunci ke nilai menggunakan C/C++.

Students are able to implement hash-tables, to access data based on key-value data mapping using C/C++.

REKOGNISI PEMBELAJARAN LAMPAU MK STUDI KASUS

1. Pengakuan mata kuliah ini adalah berupa menulis laporan pengalaman mahasiswa terkait pekerjaan keinsinyuran atau kegiatan penelitian yang telah lampau dan diangkat sebagai topik studi kasus.
2. Penilaian adalah hasil dari dokumen laporan studi kasus. Jika mahasiswa belum memiliki pengalaman menjadi pemakalah di forum ilmiah/keinsinyuran, maka di minggu ke-16 melakukan presentasi sebagai bahan RPL MK Seminar.
3. Pastikan bahwa pengalaman keinsinyuran tersebut adalah pengalaman original.
4. Laporan Studi kasus akan dijadikan sebagai Laporan akhir studi (Thesis).
5. Isi dari laporan diharapkan juga membahas mengenai : Kajian K3, Etika Profesi, Praktek keinsinyuran, Profesionalisme.
6. Laporan dikumpulkan melalui MyITSClassroom minggu ke 16 (Januari 15, 2021)