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All Journal Techno.Com: Jurnal Teknologi Informasi Smatika Jurnal : STIKI Informatika Jurnal
Aditya Hidayat Pratama
Universitas Merdeka Malang
Computer Science & IT Engineering

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Analisis Silhouette Coefficient pada 6 Perhitungan Jarak K-Means Clustering Rahmatina Hidayati; Anis Zubair; Aditya Hidayat Pratama; Luthfi Indana
Techno.Com Vol 20, No 2 (2021): Mei 2021
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/tc.v20i2.4556

Abstract

Clustering merupakan proses pengelompokan sekumpulan data ke dalam klaster yang memiliki kemiripan. Kemiripan dalam satau klaster ditentukan dengan perhitungan jarak. Untuk melihat perfoma beberapa perhitungan jarak, dalam penelitian ini penulis menguji pada 6 data yang memiliki atribut berbeda, yakni 2, 3, 4, dan 6 atribut. Dari hasil uji perbandingan rumus jarak pada K-Means clustering menggunakan Silhouette coefficient dapat disimpulkan bahwa: 1) Chebyshev distance memiliki performa yang stabil baik untuk data dengan sedikit atribut maupun banyak. 2) Average distance memiliki hasil Silhouette coefficient paling tinggi dibandingkan dengan pengukuran jarak lain untuk data yang memiliki outliers seperti data 3. 3) Mean Character Difference mendapatkan hasil yang baik hanya untuk data dengan sedikit atribut. 4) Euclidean distance, Manhattan distance, dan Minkowski distance menghasilkan nilai baik untuk data yang memiliki sedikt atribut, sedangkan untuk data yang banyak atribut mendapatkan nilai cukup yang mendekati 0,5.
Implementasi Blackbox Testing Pada Aplikasi Real-Time Thermal Video Detection (Studi Kasus Deteksi Demam/Covid-19) Kukuh Yudhistiro; Aditya Galih Sulaksono; Aditya Hidayat Pratama
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 11 No 01 (2021): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v11i01.561

Abstract

During the emergence of the Covid-19 pandemic whose vaccines have not been spread evenly, all countries in the world, especially Indonesia have taken several preventive steps to prevent the spread of the virus. One of the initial actions is to detect every person entering and leaving the country through airports or land transportation. This early action was carried out by detecting the body temperature of residents passing in and out of locations such as airports and train stations. The fever detection is generally carried out using a thermal gun in the form of an infrared gun aimed at individuals who pass the inspection. This research discusses a series of tools consisting of a camera with a thermal sensor where the captured data will be processed through software that displays a histogram of the temperature from the chest to the person's head in real time. Each capture result is used as a dataset that can be used for tracing the needs of visitors to public places. In this research, we will discuss functional testing (blackbox) of the application of thermal video detection in case studies of fever detection.
Co-Authors Aditya Galih Sulaksono Anis Zubair, Anis Indana, Luthfi Kukuh Yudhistiro, Kukuh Rahmatina Hidayati