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All Journal Jurnal Informatika Swabumi (Suara Wawasan Sukabumi) : Ilmu Komputer, Manajemen, dan Sosial Jurnal Pilar Nusa Mandiri INOVTEK Polbeng - Seri Informatika Jurnal Teknik Informatika STMIK Antar Bangsa JITK (Jurnal Ilmu Pengetahuan dan Komputer) Techno Nusa Mandiri : Journal of Computing and Information Technology IJIS - Indonesian Journal On Information System Jurnal Riset Informatika Jurnal Infortech Infotek : Jurnal Informatika dan Teknologi Jurnal Sistem Informasi JUSTIAN - Jurnal Sistem Informasi Akuntansi Jurnal Insan Electrician : Jurnal Rekayasa dan Teknologi Elektro Jurnal Aruna Mengabdi (ARMI) Journal of Accounting Information System
Ari Puspita
Universitas Bina Sarana Informatika
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Public Health Social Sciences Other

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Journal : JITK (Jurnal Ilmu Pengetahuan dan Komputer)

 1 
RANCANG BANGUN SISTEM INFORMASI AKUNTANSI PENJUALAN DENGAN MODEL WATERFALL BERBASIS JAVA DESKTOP Nurul Muthia; Hilda Amalia; Ari Puspita; Ade Fitria Lestari
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol 5 No 1 (2019): JITK Issue August 2019
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1253.801 KB) | DOI: 10.33480/jitk.v5i1.582

Abstract

Every business entity is required to be able to improve their services to customers. With good service it will increase customer satisfaction so that it ultimately increases profits from the business entity itself. To be able to improve service to customers, business entities must be able to present an efficient and accurate sales transaction process. For this reason, sales information system design is needed. Sales accounting information system can streamline the sales transaction process and can produce sales reports that are more accurate and timely and able to record accounting transactions in a short time. Timely and accurate sales reports are needed for the decision making process for business entity owners. The research objective is to develop software using the waterfall device development method, so that it can produce software that is able to improve sales system work and increase profits. The design results of the sales information system using the waterfall method can reduce errors caused by human factors (avoiding human error), avoiding the combination of data entry and presentation of sales reports presented in a fast and precise time so as to help the owner to make the decision making process .
SENTIMENT ANALYSIS OF ONLINE GOJEK TRANSPORTATION SERVICES ON TWITTER USING THE NAÏVE BAYES METHOD Muhammad Fahmi; Yuyun Yuningsih; Ari Puspita
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 8 No. 2 (2023): JITK Issue February 2023
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (746.957 KB) | DOI: 10.33480/jitk.v8i2.4004

Abstract

Abstract— Social media is the most accessed internet content by internet users in Indonesia. This is not surprising, given the many benefits that social media provides, one of which is the benefit of self-expression. Self-expression can include many things, including emotional openness, which is the openness of a person in conveying the emotions he is feeling. Along with the development of social media, emotional disclosure is ubiquitous in social media, one of which is social media Twitter. With the development of information technology, means of transportation are also developing with the existence of online transportation services. Currently, the use of online transportation services has become a necessity, so it is necessary to conduct a sentiment analysis on online transportation services to find out how the public responds to these online transportation services. The purpose of this study is to analyze community responses by analyzing data in the form of tweets and then classifying them into positive, negative, and neutral classes using the Naïve Bayes method because the error rate obtained is lower when the dataset is large, besides that the accuracy of Naive Bayes and the speed is higher. high when applied to a larger dataset. The results of this study indicate that the neutral sentiment level of public tweets is greater than the level of positive sentiment and negative sentiment with an accuracy of 25.00%.
Co-Authors Ade Fitria Lestar Ade Fitria Lestari Ade Fitria Lestari Ade Fitria Lestari, Ade Fitria Alfrieda, Nyanyu Siti Aminah Lily Antonius Ariyo Nugroho Aris Suryadi Azironia, Aghita Dahlia Dahlia Endang Pujiastuti Evi Yani Fenny Ayu Lestari Fikriansyah, Muhammad Frieyadie Fuad, Mohammad Haddiel Gustisio, Fakhri Hartanto, Candra Hilda Amalia Hilda Amalia Hilda Amalia Hilda Amalia Ida Faridah Jefi, Jefi Lia Mazia, Lia Mely Mailasari Muhammad Fahmi MUHAMMAD ILHAM Nugroho, Antonius Ariyo Nurul Muthia Nyanyu Siti Aminah Lily Alfrieda Prakoso, Rio Setio Pram Anafi Karan Rafi Zuhud Agungsyah Rahmat Tri Yunandar Retno Utami, Retno Riki Ardiansyah Seni Kurniasari Siti Helmyati Sriyadi Sriyadi Veithzal Rivai Zainal Widyastuti, Reny Wulan Dari Yuli Wahyuni Yuli Wahyuni Yuli Wahyuni Yuningsih, Yuyun Yunita Yunita Yuyun Yuningsih