Claim Missing Document
Check
Articles

Found 2 Documents
Search

PENGARUH PERBANDINGAN EKSTRAK KULIT PISANG DENGAN GELATIN TERHADAP KUALITAS SOFT CANDY KULIT PISANG Rudi Hidayat
JURNAL TEKNOLOGI PANGAN DAN ILMU PERTANIAN (JIPANG) Vol. 2 No. 1 (2020): JURNAL TEKNOLOGI PANGAN DAN ILMU PERTANIAN (JIPANG)
Publisher : Program Studi Teknologi Hasil Pertanian Universitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (390.95 KB) | DOI: 10.36526/jipang.v2i1.1214

Abstract

Banyuwangi has many banana-based food product, so everyday producing abundant of banana peels waste. Therefore to utilize the peels waste can use in making soft candy. The aim of this study was to know the effect of banana peels extract addition of soft candy on quality (chemical and hedonic) of soft candy and to determine the comparison between banana peels and gelatin in making the best soft candy. This research evaluated the comparison of banana peels and gelatin in producing soft candy. Experimental design used was completely randomized design with 4 treatments in comparison of banana peels and gelatin namely banana peels : gelatin (0:1) (K1), banana peels : gelatin (1:1) (K2), banana peels : gelatin (1:2) (K3), banana peels : gelatin (2:1) (K4).
Selection of Recipients of Excellent Scholarship Educational Assistance using Simple Addictive Weighting Method Rudi Hidayat; Ryan Prasetya; Gandung Triyono
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 14 No. 2 (2025): MEY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v14i2.2360

Abstract

The selection of educational assistance recipients is an important process that determines the effectiveness of aid distribution. However, inconsistencies in assessment criteria and less systematic data management often become obstacles in determining the right recipient candidates. This problem results in subjectivity and lack of transparency in the selection process. This study proposes a solution in the form of implementing the Simple Additive Weighting (SAW) method as a multi-criteria-based decision support system. This method is used to process data on prospective recipients with criteria including economic conditions, number of family dependents, written test results, and interviews. The approach used is quantitative descriptive with stages of data collection, criteria weighting, SAW score calculation, and evaluation of results. The results of the study show that the SAW method is able to provide objective and consistent rankings of prospective recipients. Evaluation of real data on scholarship recipients shows an accuracy level of 84.62%, indicating the effectiveness of this method in the selection process. These results indicate that the SAW method can be an effective solution to increase transparency, consistency, and fairness in the educational assistance selection process.