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All Journal CESS (Journal of Computer Engineering, System and Science) Jurnal Ilmiah Flash Jurnal Pengabdian Pada Masyarakat Jurnal SOLMA Prosiding Seminar Nasional Teknoka Jurnal Sains dan Informatika Jurnal Ilmiah Matrik Jurnal Eksplora Informatika J-SAKTI (Jurnal Sains Komputer dan Informatika) KOMPUTEK JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Seling: Journal of PGRA Study Program Jurnal Linguistik Komputasional Jurnal ICT : Information Communication & Technology MULTINETICS Progresif: Jurnal Ilmiah Komputer Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Sistem Komputer dan Informatika (JSON) Infotech: Journal of Technology Information Jurnal Computer Science and Information Technology (CoSciTech) Jurnal Pendidikan dan Teknologi Indonesia Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Abdimas ADPI Sosial Dan Humaniora J-SAKTI (Jurnal Sains Komputer dan Informatika) International Journal Software Engineering and Computer Science (IJSECS) Jurnal Sains Informatika Terapan (JSIT) Acta Pedagogia Asiana JURNAL TEKNIK INFORMATIKA DAN KOMPUTER The Indonesian Journal of Computer Science
Kamayani, Mia
Universitas Muhammadiyah Prof.Dr.HAMKA, Jakarta, Indonesia
Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Social Sciences Other

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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
Evaluasi dan Perancangan User Interface dan User Experience pada Aplikasi Golden Rama Mohammad Reza Saputra; Mia Kamayani
Jurnal Teknik Informatika dan Komputer Vol. 1 No. 1 (2022): Jurnal Teknik Informatika dan Komputer
Publisher : UHAMKA Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/jutikom.v1i1.8738

Abstract

Teknologi hingga detik ini berkembang dengan sangat pesat dan semakin canggih dimana peranannya memudahkan seluruh manusia dalam beraktivitas. Golden Rama adalah sebuah aplikasi pelayanan travelling berbasis Android dan iOS yang berisikan informasi terkait liburan ke seluruh dunia yang memiliki fitur booking tiket pesawat, hotel, promosi, acara, dan lain sebagainya. Dari 5 calon pengguna merasa kurang nyaman terutama saat melakukan booking tiket pesawat karena aspek visual dan aspek hirarki yang cukup fatal. Untuk itu diperlukan sebuah evaluasi dengan metode User Experience Questionnaire dan User Centered Design untuk mengumpulkan data pengguna dan merancang sebuah desain aplikasi. Sebelum dievaluasi, nilai akhir rata-rata pada UEQ Scales di setiap kelompoknya masing-masing 0,733 (Attractiveness), 0,750 (Perspicuity), 0,200 (Efficiency), 0,300 (Dependability), 0,550 (Stimulation), -0,100 (Novelty) dengan rata-rata keseluruhan yaitu 0,406 yang berarti masih di bawah rata-rata. Setelah dievaluasi, nilai akhir rata-rata pada UEQ Scales di setiap kelompoknya meningkat menjadi 1,700 (Attractiveness), 1,300 (Perspicuity), 1,750 (Efficiency), 1,750 (Dependability), 1,150 (Stimulation), 0,350 (Novelty) dengan rata-rata keseluruhan yaitu 1,333 yang berarti sudah mendapatkan nilai bagus.
ANALISIS SENTIMEN TERHADAP ULASAN PENGGUNAAN SHOPEE MELALUI TWEET PADA TWITTER MENGGUNAKAN ALGORITMA NAÏVE BAYES Hilmy Zhafran Muflih; Hafizh Dhery Al Assyam; Faisal Akbar Pangestu; Mia Kamayani
Jurnal Teknik Informatika dan Komputer Vol. 2 No. 2 (2023): Jurnal Teknik Informatika dan Komputer
Publisher : UHAMKA Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/jutikom.v2i2.12199

Abstract

The increasing use of the internet among the public is because it is a means to carry out various activities, one of which is buying and selling online or known as e-commerce. One of the largest e-commerce in Indonesia is Shopee. Shopee offers various features for its users. The large number of shopee users results in the large number of responses given to shopee, so the researcher wants to carry out a sentiment analysis process regarding user responses to shopee, whether the response of shopee users is negative or positive. The responses or opinions of Shopee users are taken from tweets in the Twitter application. Tweets typed and written and published by Twitter users about shopee. In this study, researchers used the RapidMiner application to collect tweets data from Twitter users and to apply the Naïve Bayes algorithm. The researcher collected 200 data regarding shopee from Twitter. The results obtained from sentiment analysis using the Naïve Bayes algorithm get 78% negative sentiment and 22% positive sentiment from 200 datasets. The process of testing the Naïve Bayes algorithm using the confusion matrix obtains an accuracy value of 77.50%.
Implementasi Algoritma Naïve Bayes Pada Analisis Sentimen Terhadap Ulasan Aplikasi DeepL Translate Di Play Store Ahmad Komarudin; Reza Al Ayyubi; Zainul Arif; Mia Kamayani
KOMPUTEK Vol 8, No 1 (2024): April
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/jkt.v8i1.2604

Abstract

Perkembangan teknologi semakin maju dengan pesat, hingga terciptanya sebuah smartphone yang didalamnya tersedia berbagai fitur-fitur canggih. Play Store merupakan layanan yang dibuat oleh Google untuk pengunduhan berbagai aplikasi, game, buku digital, film secara gratis maupun berbayar. Salah satu aplikasi yang tersedia pada Play Store adalah DeepL Translate, yang merupakan aplikasi yang bisa menerjemahkan berbagai bahasa dengan menerapkan Artificial Intelegent (AI) didalamnya. Tujuan penelitian ini yaitu untuk mengevaluasi aplikasi DeepL Translate melalui analisis sentimen pada ulasan menggunakan algoritma Naïve Bayes untuk mengetahui seberapa puas pengguna dalam menggunakan aplikasi ini. Pengambilan data ulasan dilakukan menggunakan teknik scrapping dengan Google Colab sebanyak 995 data, kemudian jumlah dataset berubah menjadi 939 ulasan setelah melalui proses preprocessing dengan data positif sebanyak 771 dan 168 untuk data negatif. Dataset kemudian diseimbangkan menggunakan SMOTE dan diklasifikasikan dengan algoritma Naïve Bayes. Algoritma ini dipakai karena menggunakan probabilitas yang sederhana dan efektif dalam mengklasifikasikan sebuah data. Hasil implementasi algoritma diperoleh accuracy sebesar 93,71%, precision sebesar 98,84%, dan recall sebesar 88,85%, dengan teknik evaluasi yang digunakan adalah confussion matrix.
Perbandingan Pelabelan Data dalam Analisis Sentimen Kurikulum Proyek di platform TikTok: Pendekatan Naïve Bayes Pratiwi, Anissya Agsani; Kamayani, Mia
Jurnal Eksplora Informatika Vol 14 No 1 (2024): Jurnal Eksplora Informatika
Publisher : Institut Teknologi dan Bisnis STIKOM Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30864/eksplora.v14i1.1093

Abstract

Penelitian ini fokus pada analisis sentimen mahasiswa terhadap perubahan kurikulum berbasis proyek di tingkat pendidikan tinggi yang menghilangkan kewajiban skripsi, Data sentimen diekspresikan melalui platform media sosial TikTok, dan algoritma Naïve Bayes digunakan untuk mengklasifikasikan sentimen menjadi positif atau negatif. Proses penelitian mencakup pengambilan data, pembersihan data, preprocessing data, pelabelan data, hingga klasifikasi menggunakan algoritma Naive Bayes. Penelitian ini melibatkan dua tahap pelabelan dalam 913 data: pelabelan pertama manual menghasilkan 510 sentimen positif dan 403 negatif, sementara pelabelan kedua otomatis dengan RapidMiner menghasilkan 415 sentimen positif dan 498 negatif. Beberapa mahasiswa memberikan ulasan positif menganggap hal ini sebagai langkah inovatif untuk persiapan di dunia kerja. Meskipun beberapa merasa khawatir dengan tingkat kesulitan yang lebih tinggi. Hasil penelitian menunjukkan mayoritas tanggapan positif terhadap kurikulum berbasis proyek, dengan nilai pelabelan manual mencapai accuracy 93.98%, precision 100%, recall 87.99%. Sedangkan pelabelan otomatis dengan Rapidminer memperoleh nilai accuracy 70.41%, precision 80.15%, recall 69.96%.
Analisis sentimen opini masyarakat terhadap penggunaan layanan maxim menggunakan algoritma naïve bayes Intania Widyaningrum; Mia Kamayani
Computer Science and Information Technology Vol 4 No 3 (2023): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v4i3.6194

Abstract

Technology is developing very quickly, as is happening in the field of transportation. Currently, transportation has begun to develop with the presence of various online-based transportation. One type of transportation that is widely used is the online motorcycle taxi application called Maxim. This online transportation service is one of the topics that is starting to be widely discussed via Twitter social media. By knowing these sentiments, users can determine whether the online transportation service provider is well received or not. The method used in this research is using the Naïve Bayes algorithm. The aim of this research is to conduct sentiment analysis of public responses regarding online transportation services, namely Maxim. Based on the research results, in evaluation testing, the accuracy results are obtained, namely for negative sentiment getting 87% precision, 74% recall, and 80% f1-score. Meanwhile, positive sentiments get 80% precision, 90% recall, and 85% f1-score. The sentiment results are dominated by positive sentiment, which is as many as 616 data.
FAKTOR-FAKTOR YANG MEMPENGARUHI MINAT CALON MAHASISWA BARU MENDAFTAR PADA FTII UHAMKA MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBOR (K-NN) Rahman Malik, Luqman Abdur; Kamayani, Mia; Hasan, Firman Noor
Infotech: Journal of Technology Information Vol 9, No 1 (2023): JUNI
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v9i1.163

Abstract

In accepting new students at Prof. University. Dr. Hamka, many prospective students or parents of students are looking for registration information, this is a great opportunity for Uhamka to gain the sympathy of prospective students to register at Uhamka, especially the Faculty of Industrial and Informatics Technology. The problem in this study is that there is no data processing related to the factors that influence the interest of prospective new students to choose the Faculty of Industrial and Informatics Technology (FTII) Uhamka. The purpose of this study was to determine the factors that influence the interest of prospective new students in choosing majors at the Faculty of Industrial and Information Technology (FTII) Uhamka. The attributes used in this study were 10 attributes, namely full name, major, tuition fee, FII location with domicile, presence of friends/family, accreditation, facilities, PMB services, PMB information, and information of interest. The method that researchers use in this study is the K-Nearest Neighbor Algorithm (K-NN). From the results of testing the researchers used the K-5 fold technique and the confusion matrix obtained an average accuracy of 72.5%, which means it is good.
Pembangunan Infrastuktur Jaringan Internet Pada Sekolah SMKN 3 Depok Untuk Mendukung Pembelajaran Daring – Luring Guna Meningkatkan Mutu Para Siswa dan Guru Di SMKN 3 Depok Daffa Anas Darman; Sherina Nurul Kautsar; Muhammad Izzaturrahman; Mia Kamayani
Prosiding Seminar Nasional Teknoka Vol 8 (2023): Proceeding of TEKNOKA National Seminar - 8
Publisher : Fakultas Teknik, Universitas Muhammadiyah Prof. Dr. Hamka, Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Progress in the field of innovation and data is very broad and high, especially in an advanced world like this, of course internet networks are very important and needed by all levels of society, of course this is very beneficial for educational organizations, especially SMKN Sekolah 3 Depok which is located on Jalan Abadi. Jaya, Sukmajaya area, Depok city. Along with the increasing need for learning and practice performances, improvements have been made to the web network foundation in schools and in train ing areas to add web networks and preparation of instructions so that educators can overcome problems that occur in schools. PC organization. Implementing an adequate web network framework to assist online and offline education and learning practices while accelerating the continuation period 4.0, as well as assisting educators in developing their capacity in the fields of innovation and data.
Metode SMART Dalam Pengambilan Keputusan Menentukan Monitor Terbaik Bagi Mahasiswa FTII Uhamka Aji, Arielio Bayu; Rizkiawan, M. Asep; Sulaeman, Mia Kamayani; Wijaya, Farid Rizky
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 6 No 4 (2024): Oktober 2024
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v6i4.1525

Abstract

Technology continues to evolve to this day; computers are highly essential machines that aid humans in completing various tasks. Presently, computer usage has become a basic necessity for people across all walks of life, including professionals and students. Particularly for students, computer devices are crucial as they support learning activities, thereby enhancing both academic and non-academic pursuits. One vital component of a computer setup is the monitor, which displays visual outputs. There are numerous monitor technologies continually advancing, encompassing variations in screen sizes, resolutions, aspect ratios, and refresh rates. Brands are also developing various panel technologies such as LCD, LED, OLED, and MINILED. The wide array of monitor models available in the market often leaves students perplexed when selecting the best option. Hence, choosing the optimal monitor necessitates a decision support system (DSS). The technique employed in this decision-making process is the Simple Multi Attribute Rating Technique, commonly known as SMART. The outcomes derived from this method are notably precise, serving as reliable recommendations for selecting the best monitor for FTII Uhamka students.
Co-Authors Abdul Aziz Alfaraby Ade Davy Wiranata Ahmad Komarudin Aji, Arielio Bayu Al Assyam, Hafizh Dhery Alfaraby, Abdul Aziz Anhari, Tirta Arif, Zainul Ariska, Amelia Atiqah M. Hilda Attyyatullatifah, Iqlimah Avorizano, Arry Avry Liyanah Dewy Ayyubi, Reza Al Azhar, Nur Chalik Azzahra, Nabila Daffa Anas Darman Dais Isnafirlah Dewanto, Yogga Tolly Dwi Anugrah Putra Eka Novianti, Eka Emilia Roza Estu Sinduningrum Estu Sinduningrum Faisal Akbar Pangestu Febriawan, Dimas Fikri Kurnia Ramadhan Firman Noor Hasan Fitri Yatusholihah Gunawan, PH Hafizh Dhery Al Assyam Hilda, Atiqah M. Hilmy Zhafran Muflih Ikhsan Wahyudi Imam Safi'i Intania Widyaningrum Iqbal Musyaffa Khusniyati Masykuroh Komarudin, Ahmad Kusuma, Miftahul Ari Luthfia Masruroh Syah M. Asep Rizkiawan Mahendra, Ristian Miftahul Ari Kusuma Mohammad Reza Saputra Mohammad Suryadi Syarif Muflih, Hilmy Zhafran Muhammad Irfan Faris Muhammad Izzaturrahman Muhammad Rafly Al Fattah Zain Nur Aini Puspitasari Oktaviani Ariyaningsih Pangestu, Faisal Akbar PH Gunawan Prananda, Dimas Adi Pratiwi, Anissya Agsani Rahman Malik, Luqman Abdur Rahmi Imanda Rani Yunita Rasiyah Shafa Azizah Reza Al Ayyubi Ridwan Maulana Subekti Roslaini Roslaini Sherina Nurul Kautsar Siduningrum, Estu Sinduningrum, Estu Sriyono Sriyono Sriyono Sriyono Suciana Wijirahayu Suharman, Anas Suhendra, Renadi Fadino Sulistiawati, Risa Utami, Arneitta Dwicahya Wijaya, Farid Rizky Yogi Fachriyatul Utama Yunita, Rani Yusri, Ahmad Rayhaan Yusri Zainul Arif