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All Journal CESS (Journal of Computer Engineering, System and Science) Jurnal Pengabdian Pada Masyarakat Jurnal SOLMA Prosiding Seminar Nasional Teknoka Seling: Journal of PGRA Study Program Jurnal ICT : Information Communication & Technology Infotech: Journal of Technology Information Jurnal Abdimas ADPI Sosial Dan Humaniora JURNAL TEKNIK INFORMATIKA DAN KOMPUTER
Mia Kamayani
Universitas Muhammadiyah Prof. Dr. HAMKA
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Journal : Prosiding Seminar Nasional Teknoka

 1 
PERANCANGAN APLIKASI PENGADUAN MASYARAKAT TERHADAP LINGKUNGAN DI TINGKAT KELURAHAN Imam Syafei; Mia Kamayani; Estu Sinduningrum
Prosiding Seminar Nasional Teknoka Vol 4 (2019): Prosiding Seminar Nasional Teknoka
Publisher : Fakultas Teknik, Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1158.192 KB) | DOI: 10.22236/teknoka.v4i0.4271

Abstract

Aplikasi pengaduan masyarakat adalah sebuah sarana aspirasi dalam bentuk pengaduan masyarakat berbasis online yang berprinsip mudah, terpadu dan tuntas untuk pengawasan lingkungan. Penelitian ini bertujuan untuk membuat suatu aplikasi yang bisa dipakai memudahkan masyarakat untuk melaporkan suatu kejadian dan bisa direspon atau ditanggapi dengan cepat, efektif dan efesien oleh pihak instansi terkait. Dengan mengunakan metode pengembangan sistem Extreme Programming (XP) diharapkan aplikasi yang dibuat lebih cepat selesai dan sesuai dengan kebutuhan. Hasil dari penelitian ini adalah membuat sistem pengelolaan aplikasi pengaduan masyarakat untuk admin yang berbentuk web aplikasi untuk menampung hasil dari pengaduan dari masyarakat yang menggunakan aplikasi mobile, dengan harapan pihak kelurahan dapat mendengarkan setiap keluhan yang masuk dari masyarakat melewati aplikasi ini dan dapat direspon dengan baik dan ditindak lanjuti hasil dari pelaporan masyarakat.
Prediksi Kelulusan Mahasiswa Tepat Waktu Menggunakan Metode Naive Bayes di Program Studi Teknik Informatika UHAMKA Dwi Anugrah Putra; Mia Kamayani
Prosiding Seminar Nasional Teknoka Vol 5 (2020): Prosiding Seminar Nasional Teknoka ke - 5
Publisher : Fakultas Teknik, Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta

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Abstract

Based on observations and existing data in the UHAMKA Informatics Engineering Study Program, the number of students who do not graduate on time (8 semesters) in each generation will cause an accumulation of the number of students, lack of classrooms, and lack of parking space. One of the ways to increase student graduation on time is to predict from begin which students have the potential to didn’t graduate on time, so that preventive action can be taken by the study program management or faculty. Prediction can be done using data mining by utilizing data from students who have graduated. The data mining method used in this study is Naive Bayes using gender attributes, achievement index from semester one to semester four and semester one to semester four credits. The Naive Bayes algorithm will be made several models and the highest accuracy value will be sought from the model. The model evaluation uses K-fold Cross Validation and the prediction results will be used by the academic supervisor to evaluate students whose prediction results are unsatisfactory. The model with the best results is the 3rd model with an accuracy rate of 80.19%, a recall of 80.26%, precision 92.75% and F-Measure 86.05% which will be used for implementation in the student graduation prediction application.
Analisis Sentimen Kenaikan Harga BBM pada Media Sosial Twitter Iqbal Musyaffa; Mia Kamayani
Prosiding Seminar Nasional Teknoka Vol 7 (2022): Proceeding of TEKNOKA National Seminar - 7
Publisher : Fakultas Teknik, Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta

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Abstract

Based on information in a press conference at the Merdeka Palace on Saturday, 03 September 2022 at 14.30 WIB, President Joko Widodo has decreed that the price of fuel be officially raised. This is a burden for road users, especially users of two-wheeled vehicles. Currently, many people use social media sites to submit complaints regarding this topic. One of them social media Twitter. Therefore, sentiment analysis was carried out using 2 methods, namely the Naïve Bayes Classifier and the Decision Tree on 1100 tweets obtained from the keyword "bbm up". The test results show thatthe best Performance is using the Naïve Bayes Classifier algorithm, which produces values with an accuracy of 94.91%and for the Decision Tree algorithm only gets an accuracy of 62.57%. The results of sentiment are, positive totaling 68data, neutral totaling 20 data, and negative totaling 301 data. The results of more negative sentiment show that the increase in fuel prices in Indonesia has not been accepted by the Indonesian people on social media Twitter.
Co-Authors Atiqah Meutia Hilda Dais Isnafirlah Dwi Anugrah Putra Emilia Roza Estu Sinduningrum Firman Noor Hasan Fitri Yatusholihah Imam Safi'i Iqbal Musyaffa Khusniyati Masykuroh Luqman Abdur Rahman Malik Mohammad Reza Saputra Mohammad Suryadi Syarif Nur Aini Puspitasari PH Gunawan Rasiyah Shafa Azizah Roslaini Roslaini Suciana Wijirahayu