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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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Menerapkan Algoritma Neural Network Pada Chatbot Mengenai Pariwisata Di Provinsi Bangka Belitung Mahendra, Ristian; Kamayani, Mia
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 2 (2023): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i2.678

Abstract

Bangka Belitung Province, precisely in South Bangka regency, is one of the areas that have the potential to be visited by tourists. However, not all attractions are known by tourists due to lack of information. From these problems, researchers tried to develop a chatbot system. Chatbot is a program that conducts conversations between humans and machines using human language. This chatbot system aims to help tourists do questions and answers automatically to find information about tourist attractions in South Bangka.  The chatbot system applies a model with a natural language processing approach and neural network algorithms. This study aims to create a chatbot model that can provide information with good accuracy about paratourism in Bangka Belitung Province, especially South Bangka district. The data used in this study were the results of interviews and filling out questionnaires to the community. Then the data obtained is stored and converted into JSON format consisting of 173 tags, 618 patterns, and 187 responses. Then preprocessing the data was carried out by taking 25 random test questions. The results of the chatbot system accuracy test got an accuracy score of 92% from 25 questions asked randomly by getting an error value of 8%. From the results of accuracy testing, the chatbot system gets a response by looking at the appropriate questions asked by users based on tags, so that they can get the right answer.
Menerapkan Algoritma Neural Network Pada Chatbot Mengenai Pariwisata Di Provinsi Bangka Belitung Mahendra, Ristian; Kamayani, Mia
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 2 (2023): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i2.678

Abstract

Bangka Belitung Province, precisely in South Bangka regency, is one of the areas that have the potential to be visited by tourists. However, not all attractions are known by tourists due to lack of information. From these problems, researchers tried to develop a chatbot system. Chatbot is a program that conducts conversations between humans and machines using human language. This chatbot system aims to help tourists do questions and answers automatically to find information about tourist attractions in South Bangka.  The chatbot system applies a model with a natural language processing approach and neural network algorithms. This study aims to create a chatbot model that can provide information with good accuracy about paratourism in Bangka Belitung Province, especially South Bangka district. The data used in this study were the results of interviews and filling out questionnaires to the community. Then the data obtained is stored and converted into JSON format consisting of 173 tags, 618 patterns, and 187 responses. Then preprocessing the data was carried out by taking 25 random test questions. The results of the chatbot system accuracy test got an accuracy score of 92% from 25 questions asked randomly by getting an error value of 8%. From the results of accuracy testing, the chatbot system gets a response by looking at the appropriate questions asked by users based on tags, so that they can get the right answer.
Comparative Analysis of the Effectiveness of Informatics Course Learning Utilizing Chatgpt Utami, Arneitta Dwicahya; Kamayani, Mia; Siduningrum, Estu; Azhar, Nur Chalik
Acta Pedagogia Asiana Volume 4 - Issue 1 - 2025
Publisher : Tecno Scientifica Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53623/apga.v4i1.553

Abstract

This study examined the effectiveness of conventional teaching methods and ChatGPT in an introductory Algorithms and Programming course at the university level. ChatGPT, an AI-based NLP technology, assisted students in understanding course material through automated responses. However, its effectiveness relative to conventional methods required further evaluation, particularly concerning motivation, interaction, self-regulation, instructional structure, and the instructor's role. Using a sample of 10 students for pretest-posttest analysis, 38 respondents for the User Experience Questionnaire (UEQ), and accuracy analysis via prompt engineering, the results revealed that conventional methods better enhanced motivation and interaction. ChatGPT demonstrated strengths in attractiveness (1.982) and efficiency (2.053) but scored lower in accuracy (1.395) and novelty (1.053). Prompt engineering significantly improved response accuracy when tailored to learning modules, highlighting the importance of precise inputs. The findings suggested that while ChatGPT excelled as a supplementary tool, it was less effective as a standalone teaching method. This study contributed to the growing field of educational technology by providing insights into the integration of AI tools in learning environments.
Implementasi Algoritma Naïve Bayes Pada Analisis Sentimen Terhadap Ulasan Aplikasi DeepL Translate Di Play Store Komarudin, Ahmad; Ayyubi, Reza Al; Arif, Zainul; Kamayani, Mia
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.
Perancangan Ulang Desain UI/UX pada Aplikasi ibisPaint X dengan Penerapan Metode The Wheel Novianti, Eka; Kamayani, Mia
Bulletin of Computer Science Research Vol. 5 No. 4 (2025): June 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v5i4.614

Abstract

Rapid technological developments have made smartphones not only function as communication devices, but can also be used as a place to draw digitally. Mobile-based graphic design applications, namely ibisPaint X. found problems experienced by users, such as difficulty in using the application, features that are difficult to find, and confusing displays. This study uses the wheel method to overcome problems faced by users which has four main stages, namely analysis, design, prototype, and evaluation focusing on user needs analysis, prototype design using figma, and usability testing using a system usability scale to measure the effectiveness of the resulting design. The results of this study showed a score before the redesign of 38.33, far from the minimum average value of the system usability scale of 68. After the redesign, the score increased very well, the score obtained was 82 indicating success in improving user experience and needs. Changes occurred on the login page, main menu, and the presence of a brush type search feature to make it easier for users when using the ibisPaint X application. This study provides a good contribution to the development of the ibisPaint X application in meeting user needs and is expected to be a reference in order to compete in the increasingly advanced digital era.
Analisis Sentimen Pengguna Aplikasi Livin' by Mandiri Menggunakan Metode Support Vector Machine (SVM) dengan Ekstraksi Fitur TF-IDF dan Word2Vec Suharman, Anas; Kamayani Sulaeman, Mia
Jurnal Pendidikan dan Teknologi Indonesia Vol 5 No 8 (2025): JPTI - Agustus 2025
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.941

Abstract

Pesatnya perkembangan aplikasi mobile banking di Indonesia, termasuk Livin’ by Mandiri, menimbulkan kebutuhan untuk memahami respons pengguna secara lebih mendalam. Studi ini bertujuan untuk mengevaluasi sentimen pengguna terhadap aplikasi tersebut berdasarkan ulasan yang diperoleh dari Google Play Store. Penelitian ini menerapkan algoritma Support Vector Machine (SVM) dengan dua teknik ekstraksi fitur, yaitu Term Frequency–Inverse Document Frequency (TF-IDF) dan Word2Vec. Sebanyak 15.000 ulasan dianalisis dan diklasifikasikan ke dalam sentimen positif maupun negatif, setelah melalui tahapan pra-pemrosesan. Hasil analisis menunjukkan bahwa model SVM dengan TF-IDF menghasilkan akurasi 87%, precision 90% untuk sentimen positif, serta recall sebesar 82%. Sebaliknya, pendekatan Word2Vec mencatatkan akurasi 83%, precision positif 92%, dan recall 71%. Temuan ini mengindikasikan bahwa TF-IDF lebih konsisten dalam klasifikasi umum, sedangkan Word2Vec lebih efektif dalam mengenali sentimen negatif.
Evaluation of Computer Lab at XYZ Institution using BAI & DSS Domains of COBIT 2019 Febriawan, Dimas; Kamayani, Mia; Imanda, Rahmi
Jurnal Ilmiah Matrik Vol. 27 No. 2 (2025): Jurnal Ilmiah Matrik
Publisher : Direktorat Riset dan Pengabdian Pada Masyarakat (DRPM) Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/wsbeqv24

Abstract

This research aims to measure the IT governance implementation in the computer laboratory at XYZ Institution using COBIT 2019 framework. Based on the scope and the problems that were identified, BAI and DSS aspects are the domains chosen to measure the implementation of the IT governance. The methods for this research are focus group discussion and field assessment. The BAI and DSS domains consist of 16 objectives, which are then divided into 104 practices and then divided further into 535 activities. These 535 activities are the processes that we have to determine for each capability level. After determining the capability levels for each process, we summarized the values and then evaluated the average values for each objective. These average values are the values that we used to determine the capability levels for each objective. We presented the result of our self assessment using a radar diagram. XYZ Institution is still in the starting phase of having good IT governance. This condition is reflected by the achievement of each objective’s capability levels ranging from 1 to 2. In addition to this condition, there is only one objective that meets the Institution’s capability level target of 3.
Implementasi CMS Pada Media Pembelajaran Mengenal Alat Musik Tradisional Indonesia Sinduningrum, Estu; Suhendra, Renadi Fadino; Kamayani, Mia
MULTINETICS Vol. 4 No. 2 (2018): MULTINETICS Nopember (2018)
Publisher : POLITEKNIK NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/multinetics.v4i2.1345

Abstract

Traditional musical instruments were born and developed throughout the archipelago in Indonesia, which is still a hereditary habit in the community to date. This musical instrument is spread in almost all corners of the country and each region has different characteristics. Children in learning and knowing traditional musical instruments are less desirable because traditional musical instruments are considered outdated and old-fashioned, so they are reluctant to learn them. children are made media to introduce traditional CMS-based musical instruments and musical instruments made in 3D, so children want to know and learn traditional musical instruments. System modeling on the construction of this CMS use UML (Unified Modelling Language) with tool activity diagram, use case, class diagram and developed using the method waterfall which is run on system. System testing is permormed using alpha testing and beta testing, for beta testing is done by distributing the system testing questionnaire to the 15 listed respondent. For the result of the percentage is 86,67%, which means the result of this CMS assessment can be categorized very well.
Perbandingan Pelabelan Data dalam Analisis Sentimen Kurikulum Proyek di platform TikTok: Pendekatan Naïve Bayes Pratiwi, Anissya Agsani; Kamayani, Mia
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 TERHADAP ULASAN PENGGUNAAN SHOPEE MELALUI TWEET PADA TWITTER MENGGUNAKAN ALGORITMA NAÏVE BAYES Muflih, Hilmy Zhafran; Al Assyam, Hafizh Dhery; Pangestu, Faisal Akbar; Kamayani, Mia
Jurnal Teknik Informatika dan Komputer Vol. 2 No. 2 (2023): Jurnal Teknik Informatika dan Komputer
Publisher : Universitas Muhammadiyah Prof. DR. HAMKA

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%.
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