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All Journal Novum : Jurnal Hukum Sistemasi: Jurnal Sistem Informasi INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi J-SAKTI (Jurnal Sains Komputer dan Informatika) JURNAL TEKNOLOGI INFORMASI Jurnal Tekno Kompak Journal of Informatics, Information System, Software Engineering and Applications (INISTA) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Pengabdian Masyarakat Jurnal Informatika: Jurnal Pengembangan IT
Basir, Azhar
Unknown Affiliation
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Other

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Application Rule Base on Facial Skin Type Identification Expert System using Forward Chaining Basir, Azhar; Tyas, Fitri Ayuning; Maghsyari, Yusril Ahzam
Sistemasi: Jurnal Sistem Informasi Vol 13, No 4 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i4.4071

Abstract

Most people, especially women, have a great desire to have white, healthy, clean and well-maintained facial skin. However, their knowledge about facial skin types is still limited, even though consulting with an expert requires a lot of time and money which results in someone not paying attention to facial skin type when carrying out treatment. Therefore, an expert system is needed that can help identify facial skin types. A rule base is a rule created based on expert knowledge needed to create an expert system. The forward chaining method is a search method or forward tracing technique that starts from existing information and combines rules to produce a conclusion or goal. The research results show that this application can run well and is suitable for use. Based on the results of system testing from an expert, it was concluded that identifying facial skin types based on facial skin criteria using the forward chaining method had an accuracy rate of 84% where the results of system testing produced several conclusions about the appropriate type of facial skin with the selected criteria data.
Integration of Zachman Framework and TOGAF ADM on Academic Information Systems Modeling Fadlil, Abdul; Riadi, Imam; Basir, Azhar
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 5 No 1 (2021): February 2021
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1952.179 KB) | DOI: 10.29407/intensif.v5i1.14678

Abstract

Zachman Framework (ZF) and The Open Group Architecture Framework (TOGAF) are Architecture Frameworks often used in Architecture Enterprise's implementation. Each side of the two architecture Frameworks has advantages and disadvantages. Sekolah Tinggi Manajemen Informatika dan Komputer Muhammadiyah Paguyangan Brebes (STMIK MPB) is a new university established on April 28, 2017; STMIK MPB as a new university has no plans in building an information system. The research will select the parts that exist in the ZF and TOGAF methodologies. The two methods will be combined and compiled to be applied to the Academic Information System modeling or blended methods. These research results are architectural blueprints that can be used as a reference in the development of academic information systems.
Co-Authors Abdul Fadlil Abdul Jamil Ahmad Faizin, Ahmad Akbar, Muhammad Syaeful Fauzan Ishlakhuddin Fitri Ayuning Tyas Fitri Ayuning Tyas Imam Riadi INDRI FOGAR SUSILOWATI Koidah, Koidah Maghsyari, Yusril Ahzam Nur Fatah, Dhita Aprilian Pratama, Rosad Andi Setianama, Mamur