Decision support system for quality assurance programs in the fish and seafood processing industry

1995 ◽  
Vol 29 (1-4) ◽  
pp. 31-35 ◽  
Author(s):  
Isabelle Renaud ◽  
Soumaya Yacout

Quality education is regarded as an essential provider to the country’s economic advancement. This study aimed to design and develop a Program-Based Quality Assurance Model with Decision Support System for St. Paul University Philippines. The researcher created a model and developed a database management tool to assess the quality assurance mechanism employed by the Philippine Accrediting Association of Schools, Colleges and Universities (PAASCU) and Philippine Association of Colleges and Universities Commission on Accreditation (PACUCOA) to ensure a reliable delivery of quality education on the program it provides. The study employed the Rapid Application Development Model for the software development and Quantitative method using descriptive survey was used to gather data. The problems, issues, and challenges in accreditation with respect to preparation, document and records management and reporting were utilized by the researcher for the development of the system. The developed system is a web-based application, thus, can be easily accessed. As a result, the system effectively stores and retrieved data needed for the preparation of documents and records for accreditation. Thus, the features of the developed system were accepted to be useful based on the results of the evaluation in accordance with the software compliance criteria of ISO 25010 Software Quality Standards with overall weighted mean of 4.12 12 with a descriptive interpretation of “Great Extent”. The developed system can be of great help to the Accreditation Team to monitor accomplishments of all programs along with the recommendations for proper documentation and record keeping.


2021 ◽  
Vol 5 (1) ◽  
pp. 31-42
Author(s):  
Femi Dwi Astuti ◽  
Basuki Heri Winarno

STMIK AKAKOM has 67 lecturers. In each semester, an evaluation is held to determine lecturers’ performance to maintain good institutional quality. The evaluation process is based on students’ and Department Quality-Assurance Team (DQAT) assessments.  Up until now, the results of these evaluations were left unprocessed. This study aimed to determine well-performed and less-performed lecturers by combining evaluation results from students and DQAT using the simple additive weighting (SAW) method. There are 17 criteria used in this study with different weight values. The results showed that the technique determined the lecturers’ ranking significantly based on their respective performance.  The most well-performed lecturer is L40 with Vi (order for lecturer) value of 0.95, the second is L41 with  Vi value of 0.92, and the third one is L25 with Vi of 0.91, while the most under-performed lecturer is L67 with a Vi value of 0.72.


2019 ◽  
Vol 5 (2) ◽  
pp. 25-39
Author(s):  
Luluk Suryani ◽  
Raditya Faisal Waliulu ◽  
Ery Murniyasih

Usaha Kecil Menengah (UKM) adalah salah satu penggerak perekonomian suatu daerah, termasuk Kota Sorong. UKM di Kota Sorong belum berkembang secara optimal. Ada beberapa penyebab diantaranya adalah mengenai finansial, lokasi, bahan baku dan lain-lain. Untuk menyelesaikan permasalah tersebut peneliti terdorong untuk melakukan pengembangan Aplikasi yang dapat membantu menentukan prioritas UKM yang sesuai dengan kondisi pelaku usaha. Pada penelitian ini akan digunakan metode Analitycal Hierarchy Process (AHP), untuk pengambilan keputusannya. Metode AHP dipilih karena mampu menyeleksi dan menentukan alternatif terbaik dari sejumlah alternatif yang tersedia. Dalam hal ini alternatif yang dimaksudkan yaitu UKM terbaik yang dapat dipilih oleh pelaku usaha sesuai dengan kriteria yang telah ditentukan. Penelitian dilakukan dengan mencari nilai bobot untuk setiap atribut, kemudian dilakukan proses perankingan yang akan menentukan alternatif yang optimal, yaitu UKM. Aplikasi Sistem Pendukung Keputusan yang dikembangkan berbasis Android, dimana pengguna akan mudah menggunakannya sewaktu-waktu jika terjadi perubahan bobot pada kriteria atau intensitas.  Hasil akhir menunjukkan bahwa metode AHP berhasil diterapkan pada Aplikasi Penentuan Prioritas Pengembangan UKM.


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