Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal JITK (Jurnal Ilmu Pengetahuan dan Komputer) IKRA-ITH Informatika : Jurnal Komputer dan Informatika
Septianto, Dian Fajar
Unknown Affiliation
Computer Science & IT

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

Found 2 Documents
Search

 1 
Sistem Klasifikasi Jenis Kulit Wajah Berbasis Web Berdasarkan Teori Baumann Septianto, Dian Fajar; Tjahjono, Budi
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 10 No. 2 (2026): IKRAITH-INFORMATIKA Vol 10 No 2 Juli 2026
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37817/ikraith-informatika.v10i2.5476

Abstract

Kulit merupakan organ yang berperan penting dalam sistem tubuh manusia, tidak hanya sebagaipelindung utama, tetapi juga memiliki karakteristik yang beragam seperti jenis dan kondisi tertentu.Masyarakat semakin menyadari pentingnya perawatan kulit dalam rutinitas harian mereka.Namun, kurangnya pemahaman tentang berbagai jenis kulit dan ketidakpahaman terhadap produkperawatan kulit yang sesuai dapat menjadi hambatan. Penelitian ini bertujuan untukmengembangkan sistem klasifikasi jenis kulit wajah pada sistem yang sudah ada sebelumnya.Pengembangan sistem klasifikasi jenis kulit wajah yang dilakukan merujuk pada Teori Baumann,yang membagi kulit menjadi empat karakteristik: Hidrasi, Sensitivitas, Pigmentasi dan PenuaanKulit. Sistem dikembangkan dengan metode Waterfall dan diuji menggunakan Black Box Testing.Hasil pengujian Black Box menunjukkan bahwa sistem berfungsi baik dan sesuai spesifikasi.Semua fitur dan fungsionalitas beroperasi optimal tanpa bug signifikan, menunjukkan keberhasilanpendekatan Waterfall dalam menghasilkan sistem yang andal dan siap digunakan. Sistem inidiharapkan membantu pengguna mengidentifikasi jenis kulit mereka secara akurat danmendapatkan solusi perawatan yang tepat, sehingga meningkatkan kesehatan dan penampilan kulitwajah mereka.
WEB-BASED FACIAL SKIN TYPE CLASSIFICATION SYSTEM BASED ON BAUMANN'S THEORY Tjahjono, Budi; Septianto, Dian Fajar; Firmansyah, Gerry; Yulhendri; Tjandra, Suhatati
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 3 (2026): JITK Issue February 2026
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i3.5724

Abstract

The skin is a crucial organ in the human body, serving not only as the primary protective barrier but also exhibiting diverse characteristics such as specific types and conditions. Increasingly, people are recognizing the importance of skin care in their daily routines. However, a lack of understanding about different skin types and appropriate skin care products can pose challenges. This research aims to develop a facial skin type classification system based on the existing system. The development of this facial skin type classification system refers to Baumann's Theory, which categorizes skin into four characteristics: Hydration, Sensitivity, Pigmentation, and Aging. The system was developed using the Waterfall methodology and tested using Black Box Testing. The results of Black Box Testing demonstrate that the system functions well and meets the specified requirements. All features and functionalities operate optimally without significant bugs, indicating the success of the Waterfall approach in producing a reliable and ready-to-use system. This system is expected to assist users in accurately identifying their skin type and receiving appropriate skincare solutions, thereby improving the health and appearance of their facial skin.
Co-Authors Budi Tjahjono Gerry Firmansyah Suhatati Tjandra Yulhendri Yulhendri