This curriculum went through a very long process, including workshops and seminars involving all the teachers of the Statistics program, in the hope of achieving perfection. In principle, the preparation of the curriculum curriculum consists of two main components: (i) a curriculum component to provide teaching competences and (ii) a curriculum component to provide the competence of the material to be taught. To deliver excellent graduates in both educational and non-educational fields, the curriculum is one of the essential tools in the educational process.
Life in the twentieth century calls for fundamental changes to the higher education system. Every higher education graduate, including Universitas Islam Indonesia (UII), must achieve a certain level of KKNI. Besides referring to KKNI, the higher education curriculum is also competence-based (berbasis competenti/KBK).
The result of the results of higher education, which is initially evaluated by the providers of higher education themselves, in a new concept, is also evaluated by the communities of interested parties (Dikti, 2008). The core of KBK and KKNI have some similarities in the certification and reward systems.
Applicable Regulations
The term KBK is stated in Regulation of the Minister for National Education (Kepmendiknas) Number 232/U/2000 and Number 045/U/2002, which refers to the concept of higher education in the XXI century UNESCO (1998), which is a fundamental change where the output of higher education, which is originally a minimum ability to master knowledge, skills and attitudes in accordance with the curriculum goals of an education, is replaced by one's competence to perform a set of smart actions with full responsibility as a condition of being of society suitable for carrying out tasks within specific work areas. KKNI has a generic description that determines a candidate's abilities, whether at operator level, technician/analyst level or in the expert position related to the reward system. Learning outcomes are abilities achieved through the internalization of knowledge, attitudes, skills, competencies and accumulated work experience (Presidential Decree No. 8, 2012).
Higher Education Curriculum Preparation Guide Ministry of Research, Technology and Higher Education, Directorate-General for Education and Student Affairs, Education Directorate 2016.
The Needs of Community/Industry
User feedback, alumni input, instructor input, and student ratings are also part of the curriculum implementation evaluation, which will then be used as a reference in the preparation and organization of the curriculum structure. Improvement of the internship/apprenticeship course so that students have experience in the world of work, make reports and present results. The local study plan, which follows the needs of the immediate community and the institution's internal interests, is an important part added to the Statistics Study's study plan 2017.
In the 2012 curriculum, the concentration of the Statistics study program comprises two main concentrations: disaster management statistics and business-industrial-social statistics. This need is becoming increasingly apparent along with advancements in information technology in the field of big data. The new curriculum being built is expected to be a solution to overcome the job readiness of UII Statistics Study Program graduates, link and match with industries, and integrate alumni into the working world.
In accordance with the vision and missions of the statistical study program, all the above competencies will be achieved through a curriculum that integrally combines a balanced mastery of theory and practice. Statistics Study Program graduates are expected to become data analysts who master theory and methodology and are ready to function as policy analysts, disaster analysts, data scientists or actuaries who possess integrity and enthusiasm.
Vision
The Social Business Concentration is divided into two, namely the Social Business Concentration and the Industry Concentration, as the role of Statistics in these two Concentrations requires a more in-depth exploration of each area of interest. The actuarial concentration is added as people's understanding increases along with the need for life insurance for a better future. On the other hand, data science concentration is built on the need for data experts.
Big data analytics can provide insights from data that are ultimately used to support the formulation of a policy or solution.
Missions
Goals
Internationalization is one of the growth stages in the peak of international recognition, especially the growth of academics and research for a study program. The measures to internationalize the Statistics Study Program consist of two ways: to strengthen the international cooperation with the world's best-ranked universities and to increase the international performance through research, publication and competition participation. Accordingly, the process of internationalizing the management of a study program will adapt to the standards of international accreditation institutions (such as the Accreditation Agency Specialized in Accrediting Degree Programs in Engineering, Informatics, the Natural Sciences and Mathematics/ASIIN) and continue to be be accredited by the relevant institution.
Graduates of the Department of Statistics are expected to be data analysts who master the theories and methodologies and able to play a role as a policy analyst, disaster analyst, data scientist or actuary with high integrity and enthusiasm. Statistics Study Program graduates who have profiles as shown in Figure 4.1 are spread throughout Indonesia and many work in government agencies and companies. Alumni of the Statistics Study Program have been active in government and companies; this shows that graduates of the Statistics Study Program can be accepted and even trusted by the public.
Sedangkan perusahaan swasta tempat alumni bekerja antara lain Gojek, MNC TV, RCTI, Metro TV, Bank Danamon, Cipta TPI Inc., Garuda Indonesia Inc., Rajawali Citra Indonesia Inc., Detik.com, Emerio Corporation Inc., The Nielsen Inc. , Vale. 10 Indonesia Tbk Inc., Gerbang Sarana Baja Inc., Teletama Arta Mandiri Inc., M Inc., Institut Teknologi Maritim Belanda, Rumah Sakit Eka Hospital dan masih banyak lagi.
Formulation of FORSTAT and INDOMS LO for S1 (Bachelor’s Degree) Statistics
PP2 The students will be able to master at least two statistical software, including open source software. The students will be able to work together and communicate in teams also responsible for their work.
Formulation of S1 (Bachelor’s Degree) Statistics Study Program UII LO
Ethics S(g) Obedience to law and discipline in social and state life S(h) Acquiring values, norms and academic ethics. Nationality S(c) Contribution to the improvement of the quality of life in society, nation, state and the advancement of civilization based on Pancasila. KU(f) Be able to maintain and develop networks with mentors, peers, colleagues inside and outside the institution.
KU(g) To be able to be responsible for achieving the results of group work and to supervise and evaluate the completion of the work assigned to the workers in their responsibility. KU(h) The ability to carry out the self-evaluation process of the working group under own responsibility and the ability to independently manage the learning process. KU(a) The ability to use logical, critical, systematic and innovative thinking in the context of the development or implementation of science and technology, which pays attention to humanistic values and includes them in accordance with their professional field.
Analysis KK(c) To be able to analyze various alternative solutions available in the field of statistics to solve problems and present analytical conclusions for appropriate decision-making. KU(i) Be able to document, store, secure and recover data to ensure validity and prevent plagiarism. KU(e) To be able to make the right decisions in the context of solving the problem in their field, based on the results of information and data analysis.
Communicative KK(b) To be able to solve estimation problems, test hypotheses, predictions and forecasts in several areas by using data and several statistical methods (methods and models) and present them in the form of descriptions that are easy to understand for users. KU(d) Preparation of a scientific description of the results of the above study in the form of a thesis or final project report and upload it on the college site. To facilitate the visualization of the formulation of "ENTHUSIASTIC" learning outcomes for the Statistics Study Program UII, as shown in Figure 5.1.
Map of Learning Outcomes and Courses in S1 (Bachelor’s Degree) Statistics Study
Map of Learning Outcomes
Compulsory Courses
Elective Courses
Relationship Between Learning Outcomes and Course
Compulsory Courses
Elective Courses
Distribution of Courses per Semester and Prerequisites
9 SST-506 Practicum of English II 1 Current/has taken English II 10 SST-507 Practicum of Categorical Data Analysis 1 Current/has taken Categorical Data. 16 SST-513 Production Planning and Control 3 Statistical Methods II 17 SST-514 Advanced Operations Research* 2 Operations Research 18 SST-515 Analysis of Covariance Variance* 2 Statistical Methods II. Learning outcomes of the learning process are organized according to four innovative learning strategies for modern pedagogical learning.
The learning process characteristics in terms of Regulation of the Minister of Research, Technology and Higher Education Number 44 Year 2015 article 11 are interactive, holistic, integrative, scientific, contextual, thematic, effective, collaborative and student-centred.
Curriculum Information
Final Evaluation of Courses (Tutup Teori)
Judicium on Final Study
Evaluation on Study Period Limit
Optional Response Surface Methodology * 2 Same (Change name, formerly Response Surface Techniques) 13 Free Optional Advanced Multivariate Statistics 2 Free.
Validity Period
