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Sistem Pendukung Keputusan Penentuan Insentif Kinerja Dosen Dengan Menggunakan Metode Saw cantika; Yuza Reswan; Agung Kharisma Hidayah; A.R Walad Mahfuzi
Jurnal Sistem Informasi dan E-Bisnis Vol 6 No 1 (2024): Januari
Publisher : LPPMPP Yayasan Sejahtera Bersama Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54650/jusibi.v6i1.527

Abstract

In the context of higher education, the role of faculty members holds a significant impact on the quality of national education and the image of educational institutions. Faculty members play a crucial role in realizing comprehensive education, including the development of faith/taqwa, noble character, knowledge, technology, arts, and an advanced and cultured society. The performance of faculty members influences areas such as accreditation and teaching quality. The importance of faculty members' role in education makes additional appreciation in the form of incentives reasonable and effective in enhancing their performance. Performance-based incentives can encourage an increase in faculty productivity in carrying out their core duties, namely teaching, research, and community service. In this context, faculty members tend to focus more on teaching than on research and community service. Managing the allocation of incentives for faculty members is the responsibility of the campus or university. To streamline and expedite the process of determining appropriate incentives, the author intends to develop an application using the Simple Additive Weight (SAW) method. This method can calculate the weight of predefined criteria to provide recommendations for incentive amounts based on variables such as teaching, research, and community service. Consequently, this application has the potential to offer a more efficient solution for managing incentives for faculty members. The criteria data provided include publications, teaching, research, and community service. The application can display calculation results in the form of an incentive data table consisting of faculty names, scores, statuses, and incentive amounts
Penggunaan Metode Fuzzy Logic Untuk Mendeteksi Gizi Buruk Pada Balita Yuza Reswan; yonaldo Putra; Yulia Darnita; Dandi Sunardi
JUKOMIKA (Jurnal Ilmu Komputer dan Informatika) Vol. 6 No. 2 (2023): Desember
Publisher : LPPMPP Yayasan Sejahtera Bersama Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54650/jukomika.v6i2.529

Abstract

Nutrition has a crucial role in terms of health in life, especially in toddler nutrition. Poor nutrition can affect a child's physical growth, intelligence, and productivity. Factors such as economic conditions, parental attention, and an unsupportive environment can cause cases of malnutrition in toddlers. Less optimal nutritional monitoring in toddlers affects the growth and development of toddlers. This study seeks to develop applications based on Fuzzy Logic as a detection of malnutrition in toddlers, focusing on Pusk-esmas Semidang Alas Seluma Regency. This study discusses the variables of assessing malnutrition in toddlers, applying the Fuzzy Logic method in detecting these conditions, and designing applications to diagnose malnutrition in toddlers. The research also includes counseling the public about weight changes in malnourished toddlers and general nutritional status, by providing input to improve services for malnourished toddlers. Application development involves aspects of display and data, as well as testing with related parties to ensure the accuracy of detection results. User criticism and suggestions become valuable input for the improvement and development of this application.