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All Journal Farmaka Jurnal Mahasiswa Farmasi Fakultas Kedokteran dan Ilmu Kesehatan UNTAN PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Indonesian Journal of Pharmaceutical Science and Technology Jurnal Akuntansi dan Pajak Jurnal Pendidikan Informatika dan Sains Jurnal Komtika (Komputasi dan Informatika) ADMINISTRASI PUBLIK SEIKO : Journal of Management & Business Jurnal Surya Masyarakat JURNAL PENDIDIKAN TAMBUSAI Eksis: Jurnal Ilmiah Ekonomi dan Bisnis Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Ensiklopedia of Journal GERVASI: Jurnal Pengabdian kepada Masyarakat Pharmaceutical Journal of Indonesia JAE (Jurnal Akuntansi dan Ekonomi) Jurnal Ilmiah Ekonomi Global Masa Kini JISICOM (Journal of Information System, Infomatics and Computing) Jurnal Abdimas Mahakam Jurnal Review Pendidikan dan Pengajaran (JRPP) Journal of Engineering and Scientific Research (JESR) RADIAL: JuRnal PerADaban SaIns RekAyasan dan TeknoLogi Jurnal Riset Terapan Akuntansi Syntax Idea ad-Dawaa : Journal of Pharmaceutical Sciences Jurnal Pembelajaran Pemberdayaan Masyarakat (JP2M) Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Surya Masyarakat Jurnal Pengabdian kepada Masyarakat Nusantara Dinasti International Journal of Economics, Finance & Accounting (DIJEFA) Jurnal Revenue : Jurnal Ilmiah Akuntansi Voice Of Midwifery Hubungan Tingkat Pengetahuan Petugas Pengelola Obat dengan Tingkat Ketersediaan Obat Di Puskesmas Kota Malang Jurnal Promotif Preventif Jurnal ABDIMAS (Pengabdian kepada Masyarakat) UBJ Jurnal Jaring SainTek Jurnal Borneo Akcaya : Jurnal Penelitian dan Pengembangan Pelayanan Publik LINEAR: Journal of Mathematics Education Iqtishaduna : Jurnal Ilmiah Mahasiswa Hukum Ekonomi Syariah Journal of Students‘ Research in Computer Science (JSRCS) Jurnal Media Informatika Jurnal Abdimas Ekonomi dan Bisnis JOURNAL OF HUMANITIES, SOCIAL SCIENCES AND BUSINESS (JHSSB) Cermin Dunia Kedokteran Jurnal Bina Bangsa Ekonomika Jurnal Ilmiah IT CIDA : Diseminasi Teknologi Informasi Journal of Trends Economics and Accounting Research Journal of Fundamental Mathematics and Applications (JFMA) Jurnal Kesehatan Kusuma Husada Pharmaceutical Sciences and Research (PSR) Jurnal Abdimas Musi Charitas Jurnal Manajemen Informatika dan Bisnis Digital Jurnal Ekonomi Bisnis, Manajemen dan Akuntansi (JEBMAK) Jurnal Desain dan Analisis Teknologi JEKSya Jurnal Ekonomi dan Keuangan Syariah International Journal of Information Technology and Computer Science Applications (IJITCSA) Gema Kesehatan Journal of Computer Science Contributions (Jucosco) Jurnal Agroteknologi Agribisnis dan Akuakultur ZONA: Jurnal Pengabdian Masyarakat Aktivasi: Jurnal Pemberdayaan Masyarakat Journal of Informatics and Information Security Jurnal Akuntansi RADIAL: Jurnal Peradaban Sains, Rekayasa dan Teknologi Journal Pharmacy of Tanjungpura Jurnal Komtika (Komputasi dan Informatika)
Rafika Sari
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Journal : Journal of Students‘ Research in Computer Science (JSRCS)

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Metode Forward Chaining Pada Sistem Pakar Diagnosa Gangguan Mesin Sepeda Motor Vespa-2-Tak Ahtian, Muzaid; Sari, Rafika
Journal of Students‘ Research in Computer Science Vol. 3 No. 1 (2022): Mei 2022
Publisher : Program Studi Informatika Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/014twx02

Abstract

Motorcycles are a means of transportation that have become a primary need for most urban communities in Indonesia. Apart from being a necessity, it is not uncommon for some people to make motorbikes a hobby. This hobby of motorbikes then raises the need for knowledge of vehicle maintenance. In this study, several problems with vehicles of Vespa-2-Tak will be reviewed that require knowledge for maintenance. The maintenance of existing vehicles in most Vespa-2-Tak vehicle repair shops is still manual. This study initiated the idea to try to implement an expert system application using the forward chaining method to diagnose motorcycle Vespa-2-tak problems. This expert system is implemented in a web-based software application with a waterfall development model. Testing with the black-box testing method obtained good results. Thus, this expert system can help Vespa-2-Tak motorcycle users to find out the disturbance or damage to their vehicle and alternative solutions without having to come directly to the bike shop.
Analisis Sentimen Ulasan Customer Kopi TMLST Menggunakan Algoritma Naïve Bayes Hamidah, Dhiya Azizah; Salkiawati, Ratna; Sari, Rafika
Journal of Students‘ Research in Computer Science Vol. 5 No. 1 (2024): Mei 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/mrm89y71

Abstract

The rapid development of Coffeeshop is currently influenced by advances in internet technology, the existence of online food applications and websites, such as Shopeefood, and Google Maps, can help people place online orders that have no time limit. However, there are problems that arise over time such as, in collecting feedback from customers the more review data available on Google Maps and online food applications, namely Shopeefood. Therefore, a solution is needed that can help TMLST Coffee to collect, process, and analyze feedback from customers on online food applications such as Shopeefood and Google Maps in a better and more structured manner. In this study, retrieving and collecting customer review data was carried out using web scrapping techniques taken through online food applications, namely Shopeefood and Google Maps, but collecting review data was also carried out by distributing questionnaires via google forms filled out by TMLST Coffee customers. Furthermore, the method used in this research is Naïve Bayes which aims as a classification method and is able to classify customer comments into positif or negatif. And review data processing is done using the Cross-Industry Standard Process for Data Mining (CRIPS-DM) method. The CRIPS-DM stage involves the research and implementation process of the stages that have been carried out previously. The results of this study produce a high level of accuracy in predicting positif and negatif sentiment, with an accuracy of 0.82 or 82%. In addition, it produces a positif recall of 0.76 or 76% and a negatif recall of 0.89 or 89%. indicating that the model has a good ability to identify correctly. With the evaluation results of the model used, it gives an indication that Naïve Bayes can be an effective choice in conducting sentiment analysis on TMLST Coffee review data.
Co-Authors Abdillah, Sabiq Abrar Hiswara Achmad H., Andy Adesta, Fillah Akhyar Rezqi Adi Muhajirin Adjar, Dinda Dwi Puspita Agati DJ, Sharlen Taurisya Agnes Sri Harti Ahmad Wildan Ahtian, Muzaid Aida Fitriyani Aida Fitriyani, Aida Aisyah Warsid Ajif Yunizar Pratama Yusuf Al-hamaz, Milda Nabilah Alexander, Allan D Almanda, Almanda Ana Hanapi Anapri, Lutfi Andani, Herlin Anggraini, Leriza Desitama Aprilianti Maharani Ardan, Raditia Muhammad Ardha Maliki Arifin, Muhammad Khoirul Aris Munandar As-Sanaj, Tyathanesia Dianfitri Ashardi, Muhammad Asni Amin Asyifa, Fatimah Nur Ayu, Visca Anindha Aziatul Febrian, Reny Aziatul Pebriani, Reny Azmi Mutawalli, Khoirul Azmi, Afif Fadhil Azzahra, Mutia A’lana, Lu’lu’ Bambang WIJIANTO Bowono, Prayuda Budi Mulyono Cahya, Nilam cahyani, dwi sinta Chyrza Adhea Salsabila Dahniar Dahniar Danu, Julian Firman Desitama Anggraini, Leriza Eka Nursafitri Eki Ayu Safitri Elfri Kartini Hutabarat Elsa Susanti Elvangga, Kelvin Ema Damayanti Endah Dewi Purnamasari Endang Retnoningsih Fahiratunnisa, Namira Alifah Fahrial, Fahrial Fajriaty, Inarah Faradilla, Aulia Fata Nidaul Khasanah Fatia, Yiyi Fatimah, Alida Zia Fatimah, Hervina Rahmawati Febrianti, Dwi Andini Fedorova, Oxana Ferdinan, Ade Fiorentina, Yulia Firdaus, Muhammad Zafira Firdaus, Tiara Fitri, Diah Angraina Freolina, Putri Shanny Gita Widyawati Hafrizal Riza, Hafrizal Hamdan Sayadi, Muhammad Hamidah, Dhiya Azizah Hanapi, Ana Harahap, Masriana Hegryselia, Hegryselia Helmy, Nur Hendarmin , Rum Hendarmin, Rum Hendharsetiawan, Andy Achmad Herlawati Herlawati Hermansyah Hermansyah Hidayatullah, M.Ridho Husnul Hotimah Idaul Hasanah Inne Miftah Dewi Intan Sari A Ira Wikartika, Ira Irwanda, Eko Izza Della Nur Rizki Joniwarta Juhanda Kamil, Insan Kgs. M. Nurkholis Khairunnisa Azani Meilinasary Khairunnisa Azani Meilinasary, Khairunnisa Azani Khalida, Rakhmi Khoirotunnisa, Fani Kusdarnowo, Kusdarnowo Lastria, Lastria Lesi Hertati, Lesi Lestari, Nur’aini Puji Lia Deslianri, Lia Lili Syafitri, Lili Lisa Adhani Liza Pratiwi Lubis, Hendarman Lubis, Nuraina Fika Lukita Tripermata M. Syahrul Manullang, Nathasya Grisella Marhamah, Faila Sufa Maulana, Rifqi Maulidia, Yuninta Maulidin, Juani Khuswara Mayadi, Mayadi Meilin Veronica Meiriasari, Vhika Meryansumayeka Meryansumayeka Mochammad Afif Kurniawan Mugiarso Muhammad Andre Reynaldi Muhammad Bahrul Ulum Muhammad Faris, Muhammad Muhammad Hamdan Sayadi Muhammad Saleh Muhammad Wadud Muhani, Mutiara Mukhlis Mukhlis Mutiara, Mega Muzakki, Muhammad Rafi Naim, Awaluddin Najib, Akmal Najini, Robby Nasruddin Nasruddin Nia Purnama Ningsih Ningrum, Citra Urba Nirwan Nirwan Novarizal, Safarin Novianti, Veni Novita Sari Nuansyah, Bayu Dwimas Nur Kholis NURUL AZIZAH Octaviani, Melly Pebriani, Reny Aziatul Periselo, Helen Prabandari, Rosiana Disiati Pramita, Julianti Pramitha, Ayu Pranoto, Imam Aji Prasetiawati, Fisca Ardi Prastio, Ivan Pratama Lumban Tobing, Yoga Pratama, Aldira Ryan Pratama, Maulana Rifqi Pratama, Muhamad Daffa Ghulam Pratama, Satrio Aji Pratiwi Apridamayanti Pratiwi Apridamayanti, Pratiwi Prima Dina Atika Puspita Sari, Ranti Puspita, Indira Diah Putra, Mgs Prima Darma Putra, Mgs. Prima Darma Putra, Munasri Ade Putra, Prima Darma Putri Aisyah Putri Shanny Freolina Putri, Andini Utari Putri, Raina Andriani Rafina Rafina Rahmadya Trias Handayanto Ramdhania, Khairunnisa Fadhilla Rasim Ratna Salkiawati Ratna Sari Ratu, Mutiara Kemala Raynaldi, Marinus Andre Reny Aziatul Febrian Rianita Rifadli, Syahril Risda Waris, Risda Rivano, Muhammad Fathir Rizki Robiyanto Robiyanto, Robiyanto Sabillah, Izzah Safrina, Nina Salsabila, Dio Ivanca Saputro, Sunu Febrian Eko Sari, Chrecencya Nirmalarum Sari, Mei Sastrawati, Nila Selviani, Rika Dara Semmagga, Nuraeni Seta Samsiana Setiawan, Dwi Adi Sibarani, Steven Arrow Rinel Silfiana, Andi Silvia, Yuni Siti Nani Nurbaeti SITI SETIAWATI SRI RAHAYU Subarkah Subarkah Sugiyatno Sugiyatno Sulhan Faiz Susanti, Ressi Susilawati, Susilawati Suyati - Sylvia Utami Tunjung Pratiwi Tampubolon, Enggal Marito Yuliarti Tien Yustini, Tien Tri Ginanjar Laksana Tripermata, Lukita Tyastuti Sri Lestari Umam, Ibni Khoerul uray rima triyanita Uswatun Hasanah Utari K Vegathree, Chandrika Raveena Veronica, Meilin veronica, Vera Wardian, Simon Wijaya, Indra Winda A. K. Winny Andarilla Wirdayanti Yaddarabullah, Yaddarabullah Yani, Resti Yevi Dwitayanti Yosi Bayu Murti Yusnaini, Tien Zahra, Diran Nandita Zikri, Tan Muhamad Zulkardi