Khafidurrohman Agustianto
Unknown Affiliation

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

PERANCANGAN PENGUJIAN PREFERENCE TEST, UJI HEDONIK DAN MUTU HEDONIK MENGGUNAKAN ALGORITMA RADIAL BASIS FUNCTION NETWORK Permadi, M. Rizal; Huda Oktafa; Khafidurrohman Agustianto
SINTECH (Science and Information Technology) Journal Vol 2 No 2 (2019): SINTECH Journal Edition October 2019
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (667.704 KB) | DOI: 10.31598/sintechjournal.v2i2.282

Abstract

Wheat Bread producers are required to produce quality products and are liked by consumers. Increasing the quality of bread will certainly have an impact on sales to be generated. One of the efforts in improving the quality is by doing Hedonic test and Hedonic Quality test. This study aims to develop a system capable of providing an assessment of new products to be released on the market. Hedonic quality is used as a variable for assessing bread products with 4 variables, which include flavor, taste, appearance, and texture. While the hedonic test using six classes is very very like, very like, like, rather like, and do not like, then this result will be used as a class of Knowledge Based (KB). This research uses Radial Basis Function Network (RBFN) algorithm, yielding 98,8% accuracy with 10 fold testing technique. The final goal of the development of this system will create a system capable of providing an assessment of a wheat bread product.
Studi Evaluasi Sistem Informasi Geografi Kasus Stunting Menggunakan COBIT 5 Framework I Gede Wiryawan; Dony Setiawan Hendyca Putra; Estin Roso Pristiwaningsih; Ely Mulyadi; Prawidya Destarianto; Khafidurrohman Agustianto
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 12, No 1 (2022): Volume 12 Nomor 1 Tahun 2022
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol12iss1pp10-16

Abstract

An application for data collection of stunting cases has been developed with data visualization in digital maps. This detailed information about stunting is a solution offered to solve problems in areas prone to stunting. This system requires further testing to get feedback from several relevant stakeholders. The COBIT 5 framework, with a combination of DSS and MEA domains, is used in this study to test this geography-based system of stunting cases. The interviews with system administrator respondents showed that the lowest scores were in the DSS05 and MEA02 domains of 75.20 and 74.67 on the Linkert scale. The same results were also obtained from management respondents consisting of heads of Puskesmas and midwives, 77.54 and 75.95. In the end, the level of achievement of the domain of the current system and its monitoring is compared between the current condition (as-is) and the general condition (to-be), indicating a gap. Based on the gap analysis, two-gap values were obtained in the DSS05 and MEA02 domains. Recommendations for improvement in the future are in terms of vulnerability to errors and increasing the ability of internal parties to control the system to handle errors.