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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Ilmiah Teknologi dan Rekayasa SITEKIN: Jurnal Sains, Teknologi dan Industri Sinkron : Jurnal dan Penelitian Teknik Informatika Journal of Information Technology and Computer Science (JOINTECS) Jurnal Pilar Nusa Mandiri J I M P - Jurnal Informatika Merdeka Pasuruan JSiI (Jurnal Sistem Informasi) Ensiklopedia of Journal Minda Baharu Jurnal Riset Informatika JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Jurnal Mantik Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Teknik Informatika C.I.T. Medicom Journal of Computer System and Informatics (JoSYC) Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal PkM (Pengabdian kepada Masyarakat) JUSTIN (Jurnal Sistem dan Teknologi Informasi) Innovative: Journal Of Social Science Research Journal of Research and Publication Innovation SAGA: Journal of Technology and Information Systems SWADIMAS: JURNAL PENGABDIAN KEPADA MASYARAKAT Journal of Computer Science and Information Technology
Endah Tri Esti Handayani
Universitas Nasional
Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Public Health Social Sciences Other

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Journal : Jurnal Riset Informatika

 1 
PUBLIC’S SENTIMENT ANALYSIS ON SHOPEE-FOOD SERVICE USING LEXICON-BASED AND SUPPORT VECTOR MACHINE Shafira Shalehanny; Agung Triayudi; Endah Tri Esti Handayani
Jurnal Riset Informatika Vol 4 No 1 (2021): Period of December 2021
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1282.029 KB) | DOI: 10.34288/jri.v4i1.287

Abstract

Technology field following how era keep evolving. Social media already on everyone’s daily life and being a place for writing their opinion, either review or response for product and service that already being used. Twitter are one of popular social media on Indonesia, according to Statista data it reach 17.55 million users. For online business sector, knowing sentiment score are really important to stepping up their business. The use of machine learning, NLP (Natural Processing Language), and text mining for knowing the real meaning of opinion words given by customer called sentiment analysis. Two methods are using for data testing, the first is Lexicon Based and the second is Support Vector Machine (SVM). Data source that used for sentiment analyst are from keyword ‘ShopeeFood’ and ‘syopifud’. The result of analysis giving accuracy score 87%, precision score 81%, recall score 75%, and f1-score 78%.
ANALYSIS AND DESIGN OF MOBILE WEB-BASED MENU E-ORDER SYSTEMS USING THE PIECES METHOD (CASE STUDY: CAFÉ 50/50 COFFEE) Nabilah Ananda Pratiwi; Agung Triayudi; Endah Tri Handayani
Jurnal Riset Informatika Vol 4 No 1 (2021): Period of December 2021
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (824.247 KB) | DOI: 10.34288/jri.v4i1.292

Abstract

Café as a place to relax or chatter where visitors can order the menu available. In general, a café often has difficulty in serving customers, especially for menu ordering facilities. This is also experienced by café 50/50 Coffee which still makes menu reservations manually. Based on these problems, a system of e-order menus of web-based mobile applications is designed. The study aims to produce a mobile web ordering system that is then analyzed with the PIECES indicator to determine the level of user satisfaction. Design of this system using the waterfall model System Development Life Cycle (SDLC) development method and then analyzed the level of user satisfaction with the PIECES method. System testing uses usability testing with the USE Questionnaire method. System implementations are created with the help of the CodeIgniter framework and use the PHP programming language. The results of the study in the form of a menu e-order system at the 50/50 Coffee café with the conclusion of the analysis that the users of the e-order system were “SATISFIED”.
PUBLIC’S SENTIMENT ANALYSIS ON SHOPEE-FOOD SERVICE USING LEXICON-BASED AND SUPPORT VECTOR MACHINE Shafira Shalehanny; Agung Triayudi; Endah Tri Esti Handayani
Jurnal Riset Informatika Vol. 4 No. 1 (2021): December 2021
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (983.013 KB) | DOI: 10.34288/jri.v4i1.129

Abstract

Technology field following how era keep evolving. Social media already on everyone’s daily life and being a place for writing their opinion, either review or response for product and service that already being used. Twitter are one of popular social media on Indonesia, according to Statista data it reach 17.55 million users. For online business sector, knowing sentiment score are really important to stepping up their business. The use of machine learning, NLP (Natural Processing Language), and text mining for knowing the real meaning of opinion words given by customer called sentiment analysis. Two methods are using for data testing, the first is Lexicon Based and the second is Support Vector Machine (SVM). Data source that used for sentiment analyst are from keyword ‘ShopeeFood’ and ‘syopifud’. The result of analysis giving accuracy score 87%, precision score 81%, recall score 75%, and f1-score 78%.
ANALYSIS AND DESIGN OF MOBILE WEB-BASED MENU E-ORDER SYSTEMS USING THE PIECES METHOD (CASE STUDY: CAFÉ 50/50 COFFEE) Nabilah Ananda Pratiwi; Agung Triayudi; Endah Tri Esti Handayani
Jurnal Riset Informatika Vol. 4 No. 1 (2021): December 2021
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (944.14 KB) | DOI: 10.34288/jri.v4i1.134

Abstract

Café as a place to relax or chatter where visitors can order the menu available. In general, a café often has difficulty in serving customers, especially for menu ordering facilities. This is also experienced by café 50/50 Coffee which still makes menu reservations manually. Based on these problems, a system of e-order menus of web-based mobile applications is designed. The study aims to produce a mobile web ordering system that is then analyzed with the PIECES indicator to determine the level of user satisfaction. Design of this system using the waterfall model System Development Life Cycle (SDLC) development method and then analyzed the level of user satisfaction with the PIECES method. System testing uses usability testing with the USE Questionnaire method. System implementations are created with the help of the CodeIgniter framework and use the PHP programming language. The results of the study in the form of a menu e-order system at the 50/50 Coffee café with the conclusion of the analysis that the users of the e-order system were “SATISFIED”. Keywords: , , , ,
Co-Authors Abdul Azis Adi Firman Ari Saputra Adi Yulianto Aditya Nur Rohman Agung Triayudi Ahmad Rifqi Alica Dwi Fahira Andrianingsih Anggira Ganda Kusuma Arie Gunawan Astri Pertiwi Atikah Suhaimah Azzaleya Agashi Lombu Bagos Fitrianto Wibowo Cintia Marito Sihombing Darussalam, Ucuk Daud Iswandii Dendy Virgiawan Deny Hidayatullah Deny Hidayatullah Deny Hidayatullah Desmana, Satriawan Dhema, Salestinus Petrus Dhieka Avrilia Lantana Dhieka Avrilia Lantana Dicki Fareza, Ichsan Dimas Tri Pamungkas Dwi Ifan Ramadhan Eri Mardiani Eri Mardiani Fachry, Fachry Fardila Inastiana Fauziah Fauziah Febry, Fransiskus Ferina Gunawan Frankly Sept Genius Zendrato Fransiskus Febry Frenda Farahdina Handoko, Suhandio Hindarto, Djarot Imelta Natalia Ginting Inastiana, Fardila Indra Mahendra Iskandar Fitri Iskandar Fitri, Iskandar Kartika Salma Nadhiva Kasmara, Bib Nugraha Keysha Belynda Tyva Panggabean Luthfia Nur Aini Mardiani, Eri Mochamad Hariadi Mohammad Iwan Wahyuddin Muhammad Farhan Adistyra Muhammad Prabowo Chaniago Muhammad Rival Mutiara Mala Khairunnisa Nabila Puspita Wulandana Nabilah Ananda Pratiwi Nathasia, Novi Dian Nur Iskandar Zulkarnaen Nur Rahmansyah Nur Rahmansyah Nurfaiz, Kelfin Oka Saputra Oka Saputra Olipa Sarta Matilda Purba Perdana, Muhammad Rizky Prasetyo, Yoga Dwi Putro, Prayogo Dwi Cahyo Rahmansyah, Nur Ratih Titi Komalasari Ratih Tri Lestari Rini Nuraini Rizky Ramadhan Rizky Ramadhan, Rizky Rosyidah Rahmah Rudi Adityawan Rudi Priyana Sari Ningsih Setiono, Aji Shafira Shalehanny Sisca Budyarti Sugitha, I Kadek Agga Suhaimah, Atikah Suhatmojo, Guing Tri Sultana Namira Teuku Feraldy Ramadhani Trie Widiarti Ningsih Ucuk Darussalam Utami, Yulianti Pratiwi Wahyuddin, Mohammad Iwan Yulianti Pratiwi Utami Yuni Latifah Yusriana Chusna Fadilah