Readiness analysis of accreditation data: a case study for Indonesian higher education

Primadewi, Ardhin; Hanafi, Mukhtar; Sasongko, Dimas; Setiawan, Agus; Arumi, Endah Ratna; Sunarni,; M.E.,, Hanung Adi Nugroho, S.T.,; Artha, Emilya Ully

doi:10.1088/1742-6596/1517/1/012091

Cited by 5 publications

(11 citation statements)

References 6 publications

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“…Primadewi (2020) menjelaskan bahwa sejak tahun 2016 peningkatan daya saing perguruan tinggi di Indonesia menggunakan standar akreditasi sesuai PERMENRISTEKDIKTI Nomor 32 tahun 2016. Dilanjutkan pada tahun 2018 dengan ditetapkannya PERBAN-PT Nomor 59 tahun 2018 yang menetapkan Akreditasi Perguruan Tinggi menjadi 9 standar yang melibatkan 2 laporan yaitu Laporan Evaluasi Diri (LED) dan Laporan Kinerja Perguruan Tinggi (LKPT) [1].…”

Section: Pendahuluanunclassified

“…Pada tahun 2018 proses akreditasi pada ruang lingkup Program Studi diotomasi menggunakan implementasi sebuah sistem. Pada tahun 2020 Primadewi menggunakan Zachman Framework untuk menganalisa ketersediaan data pada proses Akreditasi Perguruan Tinggi (APT 3.0) [1].…”

Section: Pendahuluanunclassified

“…Proses yang dapat mengkorelasikan proses bisnis Perguruan Tinggi sesuai standar instrument APT 3.0 dengan kebutuhan data dan aplikasi yang harus disediakan unit-unit Perguruan Tinggi menggunakan Zachman Framework (ZF) [1], [12]. Proses pengintegrasian ini mengacu pada referensi ZF dalam menentukan fungsi bisnis, entitas data dan aplikasi [1], [12], [19]. ZF membantu dalam proses analisa yang mendalam untuk mempersiapkan implementasi SIE [12].…”

Section: Pendahuluanunclassified

“…ZF membantu dalam proses analisa yang mendalam untuk mempersiapkan implementasi SIE [12]. ZF memiliki kelebihan khususnya untuk skala korporasi dalam menyatukan perspektif proses bisnis, entitas data dan aplikasi [1], [20]. ZF sangat membantu dalam menyederhanakan proses bisnis yang luas menjadi sebuah deskripsi arsitektur bisnis-data-aplikasi yang mudah ditelaah oleh pengembang Sistem Informasi pada level organisasi [21]- [23].…”

Section: Pendahuluanunclassified

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Pengelolaan Data Terintegrasi Berdasarkan Instrumen Akreditasi Perguruan Tinggi 3.0 Menggunakan Zachman Framework

Primadewi

Hanafi

2020

RESTI

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Higher education in Indonesia is regulated by the government with the Higher Education Accreditation (APT). In APT 3.0, Higher Education is required to be able to present performance data in the form of a Higher Education Performance Report (LKPT) as a reference in making a Self-Evaluation Report (LED). However, it is necessary to have an in-depth analysis to determine the gaps in the data required by Higher Education according to the APT 3.0 standard. The process of integrating the samples refer to the Zachman Framework (ZF). The results of this simplification that the data is available in support of APT 3.0 approximately 79% of the total data both inside and outside the core business of Higher Education and is well managed in an integrated database. The remaining 21% of the data that are not available is spread across several information systems, especially SIMMawa, SIMHumas and Cooperation, and SIMAKU. This shows that the change in accreditation standards that have been in effect since April 2019 has created a significant data gap for Higher Education. This research also produced an alternative model of integrated data management that can be used as input for Information System developers in the Higher Education scope.

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Section: Pendahuluanunclassified

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Pengelolaan Data Terintegrasi Berdasarkan Instrumen Akreditasi Perguruan Tinggi 3.0 Menggunakan Zachman Framework

Primadewi

Hanafi

2020

RESTI

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“…The progress of higher education is measured by the ability of university to respond industrial development, including digitalization adaptation, and where the human and machine interact each others, which in turn increasing communication and information by technology [1][2][3][4][5][6][7][8]. Higher education readiness toward industrial development 4.0 which related to big data, internet of things, cloud computing can affect education advancement.…”

Section: Introductionmentioning

confidence: 99%

Prism: A Way to Measure the Performance of Higher Education Institutions

Nugrahani

Sari

Ardiyanto

et al. 2022

KSS

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Higher education institutions are keen to assess their performance. It is important for them to evaluate their outcomes to promote their future performance. The aim of this research was to determine the level of preparation of the faculty of business at Universitas PGRI Yogyakarta for accreditation based on the prism aspects. This study used questionnaires for data collection with a Likert scale split by the prism assessment levels of satisfaction, strategy, process, capability, and contribution, and then grouped into the criteria of high, medium and low levels according to the provisions of OMAX. The results showed that the faculty of business reached less than 100% in all the prism aspects. This was interpreted as inefficiency. The highest achievement was 99.18% in the contribution aspect and the lowest was 84.28% in the capability aspect. It was concluded that the faculty of business of Universitas PGRI Yogyakarta must be even more active in increasing their performance to prepare for accreditation. Keywords: accreditation, faculty of business performance, OMAX, prism models

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The role of university Knowledge Transfer Offices: Not just commercialize research outputs!

Zhou

Tang

2020

Technovation

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Readiness analysis of accreditation data: a case study for Indonesian higher education

Cited by 5 publications

References 6 publications

Pengelolaan Data Terintegrasi Berdasarkan Instrumen Akreditasi Perguruan Tinggi 3.0 Menggunakan Zachman Framework

Pengelolaan Data Terintegrasi Berdasarkan Instrumen Akreditasi Perguruan Tinggi 3.0 Menggunakan Zachman Framework

Prism: A Way to Measure the Performance of Higher Education Institutions

The role of university Knowledge Transfer Offices: Not just commercialize research outputs!

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