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All Journal EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Jurnal EMT KITA JURNAL MEDIA INFORMATIKA BUDIDARMA Information System for Educators and Professionals : Journal of Information System Journal of Economic, Bussines and Accounting (COSTING) JIM UPB (Jurnal Ilmiah Manajemen Universitas Putera Batam) J-MAS (Jurnal Manajemen dan Sains) JSI (Jurnal sistem Informasi) Universitas Suryadarma JOURNAL INFORMATICS, SCIENCE & TECHNOLOGY Jurnal Ilmiah Edunomika (JIE) Management Studies and Entrepreneurship Journal (MSEJ) Jurnal Manajemen dan Bisnis Kreatif Tematik : Jurnal Teknologi Informasi Komunikasi Jurnal Kajian Ilmiah Jurnal ABDIMAS (Pengabdian kepada Masyarakat) UBJ Journal of Students‘ Research in Computer Science (JSRCS) JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi) East Asian Journal of Multidisciplinary Research (EAJMR) Jurnal Abdi Masyarakat Multidisiplin INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Innovative: Journal Of Social Science Research International Journal of Information Technology and Computer Science Applications (IJITCSA) JURNAL MITRA MANAJEMEN Journal of Computer Science Contributions (Jucosco) Journal of Informatics and Information Security
Dwi Budi Srisulistiowati
Fakultas Ilmu Komputer; Universitas Bhayangkara Jakarta Raya
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 Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences Other

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Journal : Journal of Students‘ Research in Computer Science (JSRCS)

 1 
Sistem Pemesanan Jasa Perbaikan Komputer Dengan Location Based Services (LBS) Berbasis Android Obie Jagad Prakoso; Adi Muhajirin; Dwi Budi Srisulistiowati
Journal of Students‘ Research in Computer Science Vol. 1 No. 1 (2020): Mei 2020
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/jsrcs.v1i1.80

Abstract

Abstract Computers can be said to be the primary goods and become a necessity for all circles, both for individuals and organizations. In this case in need of computer maintenance to support the performance of these computer devices in order to run with good conditions in high intensity. On the other hand the maintenance will take time in because need to seek care services that are in various areas. Computer repair service providers are still in the shopping area or in certain locations so if you want to fix the problems that can be on the computer must go to the stores that provide computer repair services, it will take more time to find repair services, Therefore, An application is needed to help the search engine technician quickly. Target to be achieved is to provide an application System Booking Computer Repair Services on the mobile. This application consists of 3 users, namely admin to process data entry, user as user who will get computer repair service, and technicians as people who will come to the location of the user to repair the computer. Keywords: Schedule Reminders, academic activities, mobile apps. Abstrak Komputer dapat dikatakan menjadi barang primer dan menjadi kebutuhanbagi semua kalangan, baik bagi individu maupun organisasi. Dalam hal ini diperlukan perawatan komputer untuk menunjang kinerja dari perangkat computer tersebut agar dapat berjalan dengan kondisi baik dalam intensitas yang tinggi. Disisi lain perawatan akan memakan waktu di karenakan perlu mencari jasa perawatan yang berada di berbagai wilayah. Penyedia jasa perbaikan computer masih banyak berada di tempat perbelanjaan atau di lokasi-lokasi tertentu maka bila ingin memperbaiki masalah yang di dapat pada komputer harus mendatangi toko-toko yang menyediakan jasa perbaikan komputer, maka akan memakan waktu lebih untuk mencari jasa perbaikan, Oleh sebab itu, dibutuhkan suatu aplikasi untuk membantu pencarian teknisi komputer dengan cepat.Target yang ingin dicapai adalah menyediakan sebuah aplikasi Sistem Pemesanan Jasa Perbaikan Komputer secara mobile. Aplikasi ini terdiri dari 3 pengguna, yaitu admin untuk mengolah data masuk, user sebagai penguna yang akan mendapatkan layanan perbaikan komputer, dan teknisi sebagai orang yang akan datang ke lokasi user untuk memperbaiki komputer. Kata Kunci: pemesanan, teknisi komputer, aplikasi mobile.
Metode Naïve Bayes dan Support Vector Machine untuk Mengolah Sentimen Ulasan dan Komentar di Platform Digital Herlawati; Srisulistiowati, Dwi Budi; Agustin, Syafira Cessa; Syafina, Prilia Hashifah; Rachmatin, Nida; Setiawati, Siti
Journal of Students‘ Research in Computer Science Vol. 5 No. 2 (2024): November 2024
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/dby15h32

Abstract

This study analyzes sentiment from user Reviews of the FLO app, Taman Mini Indonesia Indah (TMII), and public comments on infidelity cases on Instagram, using Naïve Bayes and Support Vector Machine (SVM) algorithms. FLO, an app that helps users track reproductive health, was analyzed based on 1,393 Reviews on Google Play Store. Of these, 796 Reviews expressed positive sentiment, while 597 were negative. Although both Naïve Bayes and SVM achieved an accuracy of 74%, SVM performed better in recall (74%) and precision (71%). For TMII Reviews, the analysis involved 1,616 Google Reviews, with 1,263 showing negative sentiment, indicating complaints about facilities and services, and 353 expressing positive sentiment. SVM outperformed Naïve Bayes, achieving an accuracy of 85% and an f1-score of 87%, compared to Naïve Bayes’ 82% accuracy and 83% f1-score. Additionally, the analysis of 1,200 public comments on Instagram accounts @lambe_turah and @awreceh.id revealed 918 negative comments and 282 positive ones. SVM once again demonstrated superior performance with an accuracy of 91%, precision of 87%, recall of 96%, and an f1-score of 92%, surpassing Naïve Bayes, which achieved an accuracy of 86%. These findings confirm that SVM is more effective for sentiment classification across various digital Platforms, including social issues and service evaluations. The results can be applied to develop public opinion analysis systems that support strategic decision-making and enhance service quality based on user feedback.
Co-Authors ., Rasim Achmad Noeman Adi Muhajirin Agustin, Syafira Cessa Ahdi Mualim Ahdi Mualim Aldiansyah Kusnadi Alexander, Allan D Alfiana Alfiana Andy Achmad H Annisa Wulandari Apriliani, Rina Athala Rafi Dani Yusuf Daniel Dwi Kristian Dian Hartanti Donny Dharmawan Donny Dharmawan Dwipa Handayani Erasma Fadillah, Irsya Ferdiansyah Fransisco Leo Sinema Gea H.M.Anwar Hadi Kusmara Hakiki, Muhammad Ilham Harfiahani Indah Rakhma Ningtyas Harumia, Devi Hasan, Wahyudin Hendarman Lubis Herlawati Herlawati Hidayat, Muhammad Fahreza Indah Dwijayanthi Nirmala Indah Dwijayanthi Nirmala Irfan ikhwanda Irwan Moridu Joniwarta Khaerudin, Muhamad Kristian Vieri, Jhon Loso Judijanto Lubis, Hendarman Lusiana Situmorang Lusius Reza Adiwinata Mahbub, Asep Ramdhani Moamar Yaseer Reza El Shihab Laurence Muhamad Khaerudin Muhammad Ammar Amiyoto Muhammad Khaerudin Muhammad Najmal Huda Muhammad Rispan Affandi Musdirwan Musran Munizu Naufal Malik Hadi Saputra Ninik Churniawati No’eman, Achmad Obie Jagad Prakoso Priatna , Wowon Rachmatin, Nida Ramdhani Mahbub, Asep Ramdhani, Adhitya Ilham Ramdhania, Khairunnisa Fadhilla Rani Suryani Rani Suryani Rani Suryani Ratih Pratiwi Rejeki , Sri Rina Destiana Sarfilianty Anggiani Sheva Rafif Rabbani Siti Setiawati SITI SETIAWATI Sri Lestari, Tyastuti Sri Rejeki Sri Rejeki Sri Rejeki Sugeng Karyadi Suryani, Rani Syafina, Prilia Hashifah Syarifudin Tania Fara Sayyidina Tb Ai Munandar, Tb Ai Teguh Prakoso Tri Dharma Putra Utomo, Ardhian Sulistyo Widyaswati, Rahmatya Yasir, Muammar Yuliana, Rachma Yundari, Yundari