scholarly journals Implementasi Dashboard Akademik Bebasis Website Berdasarkan Instrumen Akreditasi Program Studi 4.0

2021 ◽  
Vol 7 (1) ◽  
pp. 1-9
Author(s):  
Roby Ari Putra ◽  
Khalid Khalid ◽  
Dwi Rolliawati
Keyword(s):  
Data Warehouse ◽  
Functional Testing ◽  
Traceability Matrix ◽  
Requirement Traceability

Kegiatan akreditasi bertujuan untuk mengevaluasi mutu dan kelayakan suatu institusi berdasarkan data yang dimilikinya. Proses akreditasi memerlukan data pendukung yang bersumber dari berbagai dokumen dan database yang berbeda-beda, Sehingga diperlukan sistem untuk proses pengumpulan dan visualisasi data yang cepat dan efisien. Salah satu sistem yang dapat digunakan adalah penggunaan sistem dashboard dan data warehouse. Dalam penelitian ini, dilakukan pengembangan dan implementasi data warehouse dan sistem dashboard yang berdasar pada pedoman Instrumen Akreditasi Program Studi 4.0 (IAPS 4.0) dari BAN-PT Dari hasil implementasi, didapatkan 38 indikator bersifat kuantitatif yang dapat divisualisasikan ke dalam sistem dashboard. Dari proses pengujian menggunakan requirement traceability matrix dan functional testing, didapatkan hasil semua item pengujian berhasil lolos uji dan sistem ini dapat digunakan untuk proses akreditasi berdasar pada IAPS 4.0 BAN-PT. Dengan adanya sistem ini diharapkan dapat digunakan program studi untuk dilakukan proses evaluasi mandiri pada sebelum atau saat dilakukan proses akreditasi program studi.

scholarly journals Developing A Supply Chain Of Apple Processed Product Traceability Information System Based On Smart Packaging And Digital Business Ecosystems

2021 ◽  
Vol 6 (3) ◽  
pp. 252-260
Author(s):  
Miftakhurrizal Kurniawan ◽  
Faizatul Amalia ◽  
Danang Setiyawan
Keyword(s):  
Information System ◽  
System Development ◽  
Unified Modeling Language ◽  
Nutritional Content ◽  
Development Method ◽  
Unified Modeling ◽  
Sequential Development ◽  
Waterfall Model ◽  
Traceability Matrix ◽  
Requirement Traceability

Apples are one of the fruits that much post-harvest processing can do. Apples can be processed into drinks or snacks. The need for information about nutritional content is needed by consumers. Therefore, a traceability information system is needed that can enable consumers to know the nutritional content involved. This research uses the Waterfall model information system development method and the Unified modeling language (UML). This method allows for the sequential development of information systems. The results of this research will be in the form of an information system that has been tested using the Requirement Traceability Matrix (RTM) and Response for a Class (RFC) method. The resulting Response for a Class (RFC) value is 5.17, meaning that this information system will be easy to adapt later

scholarly journals A Data-Centric Approach for Model-Based Systems Engineering

2015 ◽  
Vol 3 (6) ◽  
pp. 549-560 ◽  
Author(s):  
Guoxiong Zhan ◽  
Bingfeng Ge ◽  
Minghao Li ◽  
Kewei Yang
Keyword(s):  
Systems Engineering ◽  
Data Dictionary ◽  
Semantic Relationships ◽  
Model Based ◽  
Level Data ◽  
Data Elements ◽  
High Level ◽  
Traceability Matrix ◽  
Requirement Traceability ◽  
Model Based Systems Engineering

Abstract A data-centric approach is proposed to facilitate the design and analysis of challenging complex systems and address the problems of currently existing model-based systems engineering (MBSE) methodologies. More specifically, based on three core steps of current MBSE methodologies, a high-level data meta-model, depicting the semantic relationships of high-level data concepts, is first presented to guide the data modeling for systems engineering (SE). Next, with respect to the six high-level data concepts, the data elements are collected as the modeling primitives to construct static and/or executable models, which can also act as a common and consistent data dictionary for SE. Then, the mapping associations amongst core data elements are established to associate the model elements in different steps and achieve the requirement traceability matrix. Finally, the feasibility of the proposed approach is demonstrated with an illustrative example.

Building Data Warehouses Using Automation

2015 ◽  
Vol 11 (2) ◽  
pp. 1-22 ◽  
Author(s):  
Nayem Rahman ◽  
Dale Rutz
Keyword(s):  
Software Development ◽  
Data Warehouse ◽  
Acceptance Testing ◽  
Functional Testing ◽  
Data Warehouses ◽  
Development Lifecycle ◽  
Software Development Lifecycle ◽  
Subject Areas

Software development is a complex endeavor. While significant benefits can be achieved, the process is often laborious, time consuming and error prone requiring multiple iterations in order to achieve the desired result. Issues arise for numerous reasons – coding defects, unclear requirements, migration challenges, lack of convention, and inadequate testing to name a few. When convention and automation are introduced into the software development lifecycle there are significantly fewer opportunities for failure. Automation also allows for shorter development windows. Generally there are fewer errors throughout testing, with the bulk of those being found in unit and functional testing, far before the users get involved in systems acceptance testing. A data warehouse consists of multiple subject areas in which many tasks are common and should be automated for the sake of efficiency and enforcing convention. This article discusses a set of tools that can be used to automate writing data warehouse objects. The article also provides statistics of time saved using automation.

Building Data Warehouses Using Automation

2019 ◽  
pp. 735-759
Author(s):  
Nayem Rahman ◽  
Dale Rutz
Keyword(s):  
Software Development ◽  
Data Warehouse ◽  
Acceptance Testing ◽  
Functional Testing ◽  
Data Warehouses ◽  
Development Lifecycle ◽  
Software Development Lifecycle ◽  
Subject Areas

Software development is a complex endeavor. While significant benefits can be achieved, the process is often laborious, time consuming and error prone requiring multiple iterations in order to achieve the desired result. Issues arise for numerous reasons – coding defects, unclear requirements, migration challenges, lack of convention, and inadequate testing to name a few. When convention and automation are introduced into the software development lifecycle there are significantly fewer opportunities for failure. Automation also allows for shorter development windows. Generally there are fewer errors throughout testing, with the bulk of those being found in unit and functional testing, far before the users get involved in systems acceptance testing. A data warehouse consists of multiple subject areas in which many tasks are common and should be automated for the sake of efficiency and enforcing convention. This article discusses a set of tools that can be used to automate writing data warehouse objects. The article also provides statistics of time saved using automation.

RANCANGAN DATA WAREHOUSE PADA SEKOLAH TINGGI TEKNIK POLIPROFESI MEDAN

KURVATEK ◽  
2018 ◽  
Vol 3 (1) ◽  
pp. 63-69
Author(s):  
Siti Jamilah Tarigan ◽  
Wing Wahyu Winarno ◽  
Henderi Safei
Keyword(s):  
Data Warehouse

Pengambilan keputusan dan perencanaan bidang akademik sering kali tidak berdasarkan pada informasi yang lengkap. Jajaran pengambil keputusan (rektorat atau tingkat eksekutif) hanya bisa melihat sebuah data dalam satu dimensi. Pengambil keputusan akan lebih baik jika informasi dapat disajikan dari berbagai dimensi. Perguruan tinggi telah memiliki data operasional yang lengkap dari kegiatan akademik, kepegawaian, dan penerimaan mahasiswa yang telah dikumpulkan lebih dari 4 tahun. Data warehouse adalah suatu koleksi optimasi database untuk mendukung keputusan. Konsep ini mengintegrasikan antara sistem lama dan sistem baru sehingga tidak terjadi duplikasi data. Data yang telah diintegrasikan dapat diolah dalam berbagai bentuk laporan sesuai dengan kebutuhan.Tujuan dari penelitian ini adalah bagaimana data yang ada bisa menghasilkan informasi yang akurat dan multidimensi sehingga pengambilan keputusan lebih cepat dan akurat. Penelitian ini menggunakan analisis data OLAP, dan skema bintang. Kesimpulan dari penelitian ini adalah rancangan yang dihasilkan bisa membantu pihak akademik dalam membuat keputusan berdasarkan data dan informasi yang mulitidimensi.

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