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All Journal IJCIT (Indonesian Journal on Computer and Information Technology) Indonesian Journal on Software Engineering (IJSE) EVOLUSI : Jurnal Sains dan Manajemen Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Kalbiscientia Jurnal Sains dan Teknologi Jurnal Sistem Informasi Akuntansi Conten : Computer and Network Technology Indonesian Journal of Networking and Security - IJNS J-Intech (Journal of Information and Technology) Community Empowerment Journal Journal of Information Technology
Andrian Eko Widodo
Universitas Bina Sarana Informatika
Religion Arts Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Mechanical Engineering

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Implementasi Algoritma SVM dan Naive Bayes untuk Analisis Sentimen pada Ulasan Pengguna Aplikasi OneDrive Widodo, Andrian Eko; Wati, Fanny Fatma; Hidayati, Nadiyah
Indonesian Journal on Software Engineering Vol 10, No 2 (2024): IJSE 2024
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/ijse.v10i2.23523

Abstract

Abstrak Teknologi saat ini menawarkan solusi penyimpanan data secara online yang dikenal sebagai cloud storage. Contohnya adalah OneDrive, yang memungkinkan pengguna untuk menyimpan, berbagi, dan mengakses berkas secara fleksibel dari berbagai platform. Dengan populernya OneDrive, peningkatan penggunaannya membawa implikasi besar terhadap pengalaman pengguna dan keberhasilan bisnis Microsoft. Persepsi dan pengalaman pengguna sangat penting dalam menilai kualitas aplikasi, karena ulasan di platform seperti Google Play Store memberikan gambaran nyata tentang kepuasan dan kebutuhan pengguna. Agar layanan suatu aplikasi dapat digunakan dan diterima oleh pengguna, maka harus memiliki pengalaman pengguna yang baik. Seiring meningkatnya jumlah pengguna di Google Play Store, ulasan yang diberikan juga terus bertambah. Ulasan ini sering menjadi sumber informasi penting tentang produk atau aplikasi perangkat lunak tertentu. Namun, jumlah ulasan yang banyak dan beragam dapat memberikan dampak positif maupun negatif bagi pengembang. Oleh karena itu, diperlukan sistem otomatis untuk mengolah data ulasan tersebut melalui analisis sentimen. Penelitian ini bertujuan untuk menganalisis sentimen pengguna terhadap aplikasi OneDrive di Google Play Store, untuk melihat kecenderungan opini pengguna, apakah bersifat negatif atau positif. Penelitian ini menggunakan metode Naive Bayes dan Support Vector Machine (SVM) untuk mengklasifikasikan ulasan pengguna menjadi sentimen positif atau negatif. Proses penelitian meliputi perumusan masalah, perancangan penelitian, pengumpulan data ulasan, pengolahan data, penyajian data dalam bentuk tabel, dan analisis data. Peneliti berharap hasil penelitian ini dapat membantu pengembang aplikasi dalam menilai kekurangan dan kelebihan aplikasi mereka serta menjadi bahan evaluasi di masa mendatang.               Kata kunci: Algoritma SVM, Naïve Bayes, OneDrive Abstract Current technology offers online data storage solutions known as cloud storage. An example is OneDrive, which allows users to store, share, and access files flexibly from various platforms. With the popularity of OneDrive, its increasing use has major implications for the user experience and the success of Microsoft's business. User perception and experience are very important in assessing the quality of an application, because reviews on platforms such as the Google Play Store provide a real picture of user satisfaction and needs. In order for an application service to be used and accepted by users, it must have a good user experience. As the number of users on the Google Play Store increases, the reviews given also continue to increase. These reviews are often an important source of information about a particular software product or application. However, the large number and variety of reviews can have a positive or negative impact on developers. Therefore, an automated system is needed to process the review data through sentiment analysis. This study aims to analyze user sentiment towards the OneDrive application on the Google Play Store, to see the tendency of user opinion, whether it is negative or positive. This study uses the Naive Bayes method and Support Vector Machine (SVM) to classify user reviews into positive or negative sentiment. The research process includes problem formulation, research design, review data collection, data processing, data presentation in tabular form, and data analysis. The researcher hopes that the results of this study can help application developers in assessing the shortcomings and advantages of their applications and become evaluation material in the future.Keywords: SVM algorithm, Naïve Bayes, OneDrive
Analisa Sentimen Persepsi Masyarakat Terhadap Aplikasi Bea Cukai Mobile Menggunakan Algoritma Naive Bayes Dan K-Nearest Neighbors Rousyati, Rousyati; Pratmanto, Dany; Widodo, Andrian Eko; Fatmawati, Kulum; Saputra, Rangga Diva
Evolusi : Jurnal Sains dan Manajemen Vol 12, No 2 (2024): Jurnal Evolusi 2024
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/evolusi.v12i2.23576

Abstract

AbstractThis study analyzes user sentiment towards the Bea Cukai Mobile application using Naive Bayes and K-Nearest Neighbors (KNN) algorithms. Data was collected from 600 reviews on Google Play Store, equally divided between positive and negative sentiments. After preprocessing, the data was analyzed using both algorithms. Results show that Naive Bayes outperformed with 79.96% accuracy, 87.76% recall, and 96.40% AUC, compared to KNN's 78.34% accuracy, 75.32% recall, and 92.20% AUC. However, KNN excelled in precision with 81.06% versus Naive Bayes' 77.21%. The study concludes that Naive Bayes is more effective in providing accurate classification and distinguishing between positive and negative classes, while KNN is more precise in predicting positive classes. These findings offer valuable insights into user perceptions of the Bea Cukai Mobile application and the effectiveness of algorithms in sentiment analysis.Keywords: Sentiment analysis, Bea Cukai Mobile application, Naive Bayes, K-Nearest Neighbors, Google Play Store, User reviewsAbstrakPenelitian ini menganalisis sentimen pengguna terhadap aplikasi Bea Cukai Mobile menggunakan algoritma Naive Bayes dan K-Nearest Neighbors (KNN). Data diperoleh dari 600 ulasan di Google Play Store, terbagi sama rata antara sentimen positif dan negatif. Setelah melalui tahap preprocessing, data dianalisis menggunakan kedua algoritma tersebut. Hasil menunjukkan bahwa Naive Bayes memiliki performa lebih baik dengan akurasi 79,96%, recall 87,76%, dan nilai AUC 96,40%, dibandingkan KNN dengan akurasi 78,34%, recall 75,32%, dan AUC 92,20%. Namun, KNN unggul dalam hal presisi dengan 81,06% dibanding Naive Bayes 77,21%. Penelitian ini menyimpulkan bahwa Naive Bayes lebih efektif dalam memberikan klasifikasi akurat dan membedakan kelas positif dan negatif, sementara KNN lebih tepat dalam memprediksi kelas positif. Hasil ini memberikan wawasan berharga tentang persepsi pengguna terhadap aplikasi Bea Cukai Mobile dan efektivitas algoritma dalam analisis sentimen.Kata kunci: Analisis sentimen, Aplikasi Bea Cukai Mobile, Naive Bayes, K-Nearest Neighbors, Google Play Store, Ulasan pengguna
Sistem Informasi Raport Online Berbasis Web Pada SMK Negeri 1 Slawi Wati, Fanny Fatma; Widodo, Andrian Eko; Sari, Ratna Kurnia
Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Vol 9 No 1 (2023): Journal CERITA : Creative Education of Research in Information Technology and Art
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (503.314 KB) | DOI: 10.33050/cerita.v9i1.2659

Abstract

The work system of teachers and staff of SMKN 1 Slawi still uses a conventional system that has the risk of errors in data input, besides that conventional data input also takes a long time to process. The design of the E-Raport Information System for SMK N 1 Slawi is a web-based information system created to facilitate and speed up teachers and staff in inputting data and assessing and evaluating students' learning from data input to printing report cards. The design of the E-Report Card Information System is expected to change the way teachers work from a conventional work system to a digital work system. In addition, the design of the e-report card information system aims to minimize errors in inputting data and student scores. The web-based E-Report Card Information System is designed using the SDLC (System Developmen Life Cyce) development system which carries out the research process using the waterfall method. Meanwhile, the software model carried out in the preparation of this research uses a programming model. The language used for this research is to discuss CSS programming, PHP, Java Script, HTML, Font Awesome, Data Tables, Boostrap and the databases used are MySQL and MariaDB databases
Sistem Informasi Pemesanan Menu Kafe Menggunakan QR-Code Widodo, Andrian Eko; Wati, Fanny Fatma; Widayanto, Aprih
J-INTECH (Journal of Information and Technology) Vol 11 No 1 (2023): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v11i1.865

Abstract

During this pandemic, to reduce the spread of COVID-19, it is necessary to implement health protocols in community activities, including in the culinary business. By utilizing the QR-Code the cafe owner can realize the use of a digital menu that can be accessed from a cafe visitor's smart device. The use of digital menu lists is intended to prevent Covid-19 transmission through manual lists or menu books, which are usually used interchangeably by many visitors. By scanning the QR-Code placed on the cafe table, visitors can select a menu and place an order by minimizing contact with manual menu lists and cafe employees. Through this application, cafe owners can also manage sales at their cafes, including sales statistics, receipt printing, menu updates, etc.
Sistem Informasi Penerimaan Karyawan Berbasis Website Pada PT Federal International Finance Cabang Kota Tegal Wati, Fanny Fatma; Widodo, Andrian Eko; Abror, Dzulchan
J-INTECH (Journal of Information and Technology) Vol 12 No 1 (2024): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v12i1.1189

Abstract

Human Resources (HR) is indeed very influential for the success of an organization, and an effective selection process is one of the keys to ensure that the selected human resources have motivation, ability in the company. By conducting a good selection process, companies can ensure that they get the right individuals for the available positions. Changing the selection process from a manual method to an online system through the official website will bring many advantages. These include increased efficiency in managing applicant data, expanding the range of candidate searches, and speeding up the selection process. At PT Federal Internasional Finance in the employee recruitment process still uses a manual system so a website is needed to facilitate the employee recruitment process to be more effective and efficient. In making this website using the waterfall method starting from the planning stage to the system maintenance stage. The results of this study are computerized acceptance of new employees, expected to be able to contribute to the company, especially Human Resources (HR). The process of accepting prospective new employees of PT. Federal International finance spends a long time, will have a direct impact on inefficient data which will cause inaccuracies in a data.
ANALISIS SENTIMEN ULASAN PENGGUNA APLIKASI DEEPSEEK MENGGUNAKAN ALGORITMA RANDOM FOREST DAN NAIVE BAYES Wati, Fanny Fatma; Suleman, Suleman; Widodo, Andrian Eko
CONTEN : Computer and Network Technology Vol. 5 No. 1 (2025): Juni 2025
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/hqpha267

Abstract

Perkembangan teknologi aplikasi yang mengandalkan kecerdasan buatan mengalami pertumbuhan yang pesat, salah satunya adalah Deepseek, sebuah mesin pencari berbasis pemrosesan bahasa alami. Seiring dengan bertambahnya jumlah pengguna, ulasan yang beragam menjadi sumber data penting untuk mengevaluasi kualitas layanan aplikasi tersebut. Penelitian ini bertujuan untuk menganalisis sentimen dari ulasan pengguna aplikasi Deepseek guna memahami persepsi publik terhadap performa aplikasi. Metode yang digunakan mencakup algoritma klasifikasi Random Forest dan Naïve Bayes. Data ulasan diperoleh dari platform distribusi aplikasi, diproses melalui tahapan pembersihan, tokenisasi, penghapusan kata tidak penting, dan stemming, serta ekstraksi fitur menggunakan TF-IDF. Dataset yang digunakan terdiri dari ulasan berbahasa Indonesia yang telah diberi label positif dan negatif secara manual. Evaluasi dilakukan menggunakan metrik akurasi, presisi, recall, dan F1-score. Hasil penelitian menunjukkan bahwa Random Forest menghasilkan akurasi tertinggi sebesar 96,38%, sedangkan Naïve Bayes menunjukkan akurasi yang lebih rendah. Hal ini menunjukkan bahwa Random Forest memiliki kinerja lebih baik dalam memahami pola kata dan struktur kalimat yang kompleks. Kesimpulan dari penelitian ini menegaskan bahwa analisis sentimen berbasis machine learning efektif digunakan untuk mengevaluasi opini pengguna dan dapat menjadi acuan dalam pengambilan keputusan pengembangan aplikasi. Temuan ini juga mendukung efisiensi dalam menangani ulasan dalam jumlah besar serta membangun layanan yang lebih responsif terhadap kebutuhan pengguna.
ANALISIS TINGKAT KESEHATAN PERBANKAN MENGGUNAKAN METODE RISK-BASED PADA PT.BANK MUAMALAT INDONESIA Sari, Ratna Kurnia; Wati, Fanny Fatma; Widodo, Andrian Eko; Abidin, Muhammad Ali Zaenal
Jurnal Sistem Informasi Akuntansi (JASIKA) Vol. 2 No. 2 (2022): Oktober 2022
Publisher : LPPM UBSI Kampus Kota Tegal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/jasika.v2i2.1510

Abstract

Banking is a financial institution that has great potential and enormous social value to grow and develop in carrying out its role as a source of financing for customers and the business sector, especially in facing the era of globalization in a country, especially Indonesia. Likewise, the soundness of a bank becomes a barometer of the ability to compete in the business world, because a bank is a company. Therefore, it is very important to maintain public trust in its performance. Based on Bank Indonesia regulation, bank soundness assessment will be very useful in implementing Good Corporate Governance and for dealing with future risks. The Risk-Based Bank Rating method is a policy issued by the government as a tool for assessing the soundness of a bank with the scope of the assessment covering the following factors: Risk profile, Good Corporate Governance , Profitability and Capital to produce a composite rating of bank soundness. The purpose of this study was to determine the soundness of the bank on the balance sheet items, profit and loss and cash flow as well as the financial performance of PT. Bank Muamalat Indonesia Tbk uses the Risk-Based Bank Rating method for 3 years. The results of the research generally show that PT Bank Muamalat Indonesia Tbk is in the composite rank 3 with the criteria of "Sufficiently Healthy". This indicates that the bank's condition is generally quite healthy and able to face significant negative effects from changes in business conditions and other external factors.
PERANCANGAN SISTEM INFORMASI PEMESANAN KAMAR PADA HOTEL BERBASIS WEBSITE Widodo, Andrian Eko; Abror, Dzulchan
CONTEN : Computer and Network Technology Vol. 3 No. 2 (2023): Desember 2023
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/conten.v3i2.2936

Abstract

Abstrak Studi ini fokus pada perancangan dan implementasi sistem informasi booking room pada hotelier dengan tujuan membangun solusi yang efisien, handal, dan user-friendly. Sistem ini menggabungkan kemudahan penggunaan dengan aksesibilitas yang lebih luas, menghubungkan tamu dengan berbagai pilihan hotel, fasilitas, dan harga yang sesuai dengan preferensi mereka. Melalui sistem ini, tamu hotel dapat menelusuri informasi penting seperti jenis kamar yang tersedia, fasilitas yang ditawarkan, lokasi hotel, foto-foto kamar dan fasilitas, serta ulasan dari tamu sebelumnya. Selain memberikan manfaat bagi tamu hotel, sistem informasi booking room juga memberikan manfaat yang signifikan bagi manajemen hotel. Dengan adanya sistem ini, manajemen dapat mengelola inventaris kamar secara efisien, menjadikan proses reservasi lebih teratur, dan meningkatkan efisiensi operasional secara keseluruhan. Data yang terkumpul melalui sistem informasi ini juga dapat memberikan wawasan berharga dalam mengoptimalkan strategi pemasaran, mengidentifikasi tren permintaan, dan meningkatkan kepuasan tamu. Namun, pembuatan dan implementasi sistem informasi booking room bukanlah tugas yang mudah. Setiap hotel memiliki kebutuhan dan tantangan operasional yang unik, sehingga sistem ini harus dirancang dan dikembangkan dengan hati-hati, mempertimbangkan semua faktor tersebut. Dengan studi ini, diharapkan dapat memberikan solusi yang efisien, handal, dan user-friendly untuk membantu hotel memaksimalkan layanan mereka dan mencapai tingkat kepuasan pelanggan yang lebih tinggi. Kata kunci: Sistem Informasi Booking Room, Industri Perhotelan, Pemesanan Kamar Hotel Abstract This research aims to design and implement a room booking information system in the hospitality industry. In the ever-evolving digital era, technological transformation has had a significant impact on the hospitality sector. The process of booking hotel rooms has evolved from the use of telephone or direct visits to hotel locations to easy and fast online booking through information systems. The hotel room booking information system is an innovative platform that makes it easy for hotel guests to search, select, and book rooms in an efficient and effective way.This study focuses on the design and implementation of a hotelier room booking information system with the aim of building an efficient, reliable, and user-friendly solution. The system combines ease of use with wider accessibility, connecting guests with a wide selection of hotels, facilities, and prices that match their preferences. Through this system, hotel guests can browse important information such as the types of rooms available, facilities offered, hotel location, photos of rooms and facilities, and reviews from previous guests. In addition to providing benefits for hotel guests, the room booking information system also provides significant benefits for hotel management. With this system, management can manage room inventory efficiently, make the reservation process more organized, and improve overall operational efficiency. The data collected through this information system can also provide valuable insights in optimizing marketing strategies, identifying demand trends, and improving guest satisfaction.However, the creation and implementation of a room booking information system is not an easy task. Each hotel has unique operational needs and challenges, so this system must be carefully designed and developed, considering all these factors. With this study, it is expected to provide an efficient, reliable, and user-friendly solution to help hotels maximize their services and achieve higher levels of customer satisfaction. Keywords: Booking Room Information System, Hotel Industry, Hotel Room Reservation
Sistem Informasi Pemesanan Menu Kafe Menggunakan QR-Code Andrian Eko Widodo; Fanny Fatma Wati; Aprih Widayanto
J-INTECH ( Journal of Information and Technology) Vol 11 No 1 (2023): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v11i1.865

Abstract

During this pandemic, to reduce the spread of COVID-19, it is necessary to implement health protocols in community activities, including in the culinary business. By utilizing the QR-Code the cafe owner can realize the use of a digital menu that can be accessed from a cafe visitor's smart device. The use of digital menu lists is intended to prevent Covid-19 transmission through manual lists or menu books, which are usually used interchangeably by many visitors. By scanning the QR-Code placed on the cafe table, visitors can select a menu and place an order by minimizing contact with manual menu lists and cafe employees. Through this application, cafe owners can also manage sales at their cafes, including sales statistics, receipt printing, menu updates, etc.
Co-Authors Abidin, Muhammad Ali Zaenal Abror, Dzulchan Ahmad Fauzi Alif Qurnia Saputra - AMIK BSI Purwokerto Angga Ardiansyah Aprih Widayanto Aryo Kencono Aziz Setyawan Hidayat, Aziz Setyawan Dany Pratmanto Dhea Savitri Dwi Yuli WibowO - AMIK BSI Purwokerto, Dwi Yuli WibowO Eko Yulianto Fakihotun Titiani Fandhilah Fandhilah Fanny Fatma Wati Fanny Fatma Wati Fariqotun Nisa Fatmawati, Kulum Husni Mubarok Mahmud Safudin Mohammad Rizal Nurzaien Nadiyah Hidayati Nurlaelatul Maulidah Puspa Fortuna Zulfa Ratna Kurnia Sari Ria Rizqi Amalia Rousyati Rousyati Rousyati, Rousyati Saputra, Rangga Diva Sardiarinto Sardiarinto Sari, Ratna Kurnia Sopian Aji Suleman Suleman - AMIK BSI Tegal Suleman Suleman Suleman Suleman Suleman Suleman Suleman Suleman Supriatiningsih Supriatiningsih Vadlya Maarif Warjiyono Warjiyono Wati, Fanny Fatma Yamin Nuryamin