Article Per Year (5 Year)
p-Index From 2020 - 2025
0.408
P-Index
This Author published in this journals
All Journal Prosiding Seminar Nasional Teknoka Jurnal Sistem Komputer dan Informatika (JSON) KLIK: Kajian Ilmiah Informatika dan Komputer
Mia Kamayani
Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta
Computer Science & IT Control & Systems Engineering Engineering

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Pencarian Full Text Pada Koleksi Skripsi Fakultas Teknik Uhamka Menggunakan Metode Vector Spacemodel Miftahul Ari Kusuma; Mia Kamayani; Arry Avorizano
Prosiding Seminar Nasional Teknoka Vol 2 (2017): Prosiding Seminar Nasional Teknoka ke - 2
Publisher : Fakultas Teknik, Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (403.582 KB)

Abstract

Memiliki banyak dokumen terkadang sangat merepotkan, terutama disaat ingin mencari dokumen yang dibutuhkan dengan data yang tepat sesuai dengan keinginan. Banyaknya kumpulan skripsi di fakultas teknik UHAMKA membuat mahasiswa kesulitan dalam mencari skripsi yang relevan atau tepat sesuai dengan keinginan yang dicari, sebenarnya sudah ada mesin pencarian pada Perpustakaan Fakultas Teknik UHAMKA tetapi hanya mencari berdasarkan judul, dan pengarangnya saja. Maka, dibuatlah pengembangan mesin pencarian yaitu dengan membuat mesin pencarian fulltext, agar mahasiswa dapat mencari skripsi sesuai yang dibutuhkan dari mesin pencarian. Salah satu metode untuk membuat mesin pencarian adalah dengan metode vector space model (VSM). Vector Space Model (VSM) adalah metode untuk melihat tingkat kedekatan atau kesamaan (similarity) term dengan cara pembobotan term. Perancangan mesin pencarian full text ini menggunakan PHP dan ditampilkan berupa halaman web. Pengujian relevansi mesin pencarian dilakukan dengan memasukan beberapa query dan mesin pencarian akan menampilkan dokumen relevan, dan relevan itu diuji dengan cara menghitung precision, recall dan f-measure dari masing-masing query yang ditampilkan di mesin pencarian dengan nilai rata-rata precision 0.63, recall 0.92 dan f-measure 0.71.
Analisis Sentimen Ulasan Pelanggan Online Ubi Madu Cilembu Abah Nana Menggunakan Algoritma Naïve Bayes Muhammad Rafly Al Fattah Zain; Mia Kamayani
Jurnal Sistem Komputer dan Informatika (JSON) Vol 5, No 1 (2023): September 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i1.6646

Abstract

This research aims to analyze the sentiment of online customer reviews for Ubi Madu Cilembu Abah Nana using the Naïve Bayes algorithm. The study has two main objectives: to classify the sentiment analysis of reviews into positive and negative categories regarding the service and products of Ubi Madu Cilembu Abah Nana, as well as to evaluate the accuracy level of the final classification results. The data was collected from online food delivery applications such as Gofood, Grabfood, and Shopeefood. The data used in this study amounts to 259 entries, with 310 positive and 49 negative data points. After conducting experiments, an accuracy result of 86.29% was obtained in Experiment 1 using the Split Data operator, and an accuracy of 86.12% was achieved in Experiment 2 utilizing Cross Validation with the assistance of language experts. The findings of this research indicate that the Naïve Bayes algorithm can be employed to classify customer sentiment towards the service and products of Ubi Madu Cilembu Abah Nana with a significantly high accuracy rate. These results can be valuable for Ubi Madu Cilembu Abah Nana in enhancing their service and product quality based on customer feedback. Additionally, this study also contributes to the field of sentiment analysis and natural language processing by applying classification algorithms to customer review data.
Redesain Website Fakultas dan Pengujian User Experience dengan Menggunakan UEQ-S Ridwan Maulana Subekti; Mia Kamayani
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 3 (2023): Desember 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i3.1367

Abstract

The UHAMKA Faculty of Industrial Technology and Informatics website is an information system in obtaining various information about lectures and the faculty. Students can see what information is on the website to make the necessary letters for lecture purposes. The information that appears on the website should make it easier for students and prospective students of the FTII to get the information they want. Students still use WhatsApp groups as a center for lecture and other information. Therefore, it is necessary to redesign the UI / UX website of the FTII UHAMKA with the aim of increasing efficiency and effectiveness in delivering information. This research uses the design thinking method as an approach to website design, problem analysis and needs analysis. The final result of this research is a prototype design of the UHAMKA Faculty of Engineering website with user experience analysis using the User Experience Questionnaire Short version (UEQ-S). The UEQ-S score of the prototype states a pragmatic quality value of 1,250 and a hedonic quality value of 1,167 with an overall value of 1,208.  When compared to the UEQ-S score on the faculty website which gets a pragmatic quality value of 0.569 and a hedonic value of 0.278 with an overall value of 0.424, there is a significant increase in the overall UEQ-S score from the prototype which is 0.784
Co-Authors Avorizano, Arry Miftahul Ari Kusuma Muhammad Rafly Al Fattah Zain Ridwan Maulana Subekti