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All Journal Jurnal Ilmiah Teknologi dan Rekayasa Jurnal Ilmiah FIFO SMARTICS Journal Jurnal Infomedia KOMPUTIKA - Jurnal Sistem Komputer Jurnal Riset Informatika JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) STRING (Satuan Tulisan Riset dan Inovasi Teknologi) EDUMATIC: Jurnal Pendidikan Informatika Jurnal Mantik Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Abdimas Bina Bangsa Jurnal Komtekinfo JURNAL ABDI MASYARAKAT INDONESIA (JAMIN)
Nur Hayati
Universitas Nasional
Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Social Sciences Other

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ANALISIS PERBANDINGAN DAN IMPLEMENTASI STRING MATCHING DAN SQL QUERY PADA SISTEM INFORMASI PERSEDIAAN OBAT BERBASIS WEB APOTEK ERHA FARMA Fahrizal Firmansyah; Fauziah Fauziah; Nur Hayati
Jurnal Ilmiah Teknologi dan Rekayasa Vol 27, No 2 (2022)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/tr.2022.v27i2.7079

Abstract

String matching merupakan metode yang melakukan pencocokan pattern dengan teks. Pada string matching terdapat beberapa algoritma, seperti algoritma Brute Force dan algoritma Boyer-Moore. Algoritma Brute Force melakukan pencocokan karakter yang dimulai dari pattern sebelah kiri, sedangkan pada algoritma Boyer-Moore pencocokan karakter dimulai dari pattern sebelah kanan. Selain menggunakan metode tersebut, terdapat juga SQL Query yang merupakan rangkaian dari beberapa perintah dasar SQL untuk melakukan pencarian. Ketiga metode ini memiliki cara kerja yang berbeda. Karena itulah, penelitian ini akan melakukan analisis perbandingan kinerja terhadap ketiga metode tersebut, di mana studi kasus yang dilakukan berfokus pada pencarian obat di Apotek Erha Farma. Mengingat mekanisme pencatatan persediaan obat di apotek tersebut masih menerapkan sistem konvensional, muncul kendala di mana para petugas apotek mengalami kesulitan dalam melakukan proses pencarian obat. Dengan demikian, sangat dibutuhkan sistem informasi persediaan obat yang menerapkan metode pencarian tercepat guna mendukung petugas apotek dalam meningkatkan kegiatan operasionalnya serta memudahkan proses pencarian obat sesuai dengan kebutuhan pelanggan. Hasil penelitian ini menunjukan bahwa algoritma Boyer Moore lebih cepat dalam melakukan proses pencarian dengan rata-rata total running time 0.265 ms, dibandingkan dengan SQL Query dan algoritma Brute Force dengan hasil running time 0.271 ms dan 0.278 ms.
Analisis Sentimen Opini Masyarakat Terhadap Kuliner DKI Jakarta dengan Metode Naïve Baiyes dan Support Vector Machine Muhammad Fadel Sasongko; Fauziah Fauziah; Nur Hayati
STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Vol 7, No 3 (2023)
Publisher : Universitas Indraprasta PGRI Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/string.v7i3.13931

Abstract

Culinary matter is an integral part of people’s everyday lives, especially for those who like to taste a variety of flavors and uniqueness of different food. It is easier to find information about the culinary you want to try through sites and social media. With the information, visitors can get an idea of the taste, price, and location of culinary treats. In the DKI Jakarta area, social media play an important role in providing data on people's assessments of culinary treats. Considering the use of social media platforms such as Instagram, Facebook, and Twitter, the researchers apply the methods of Naive Bayes and Support Vector Machine that later produce a result that can be used as a basis for assessing culinary treats in Jakarta. This research takes data from three sources, namely Twitter, Zomato and Quora. The data collection period for Twitter is from March 01, 2022-June 30, 2022, while for Zomato and Quora from September 2021 to June 2022, during which 2520 data are collected. The data will be then processed to draw a conclusion. The accuracy test on three sources show the accuracy score of Naïve Bayes is higher than that of the Support Vector Machine, with the accuracy of Naïve Bayes of 76.00% and that of the support vector machine of 74.00%, resulting in more positive responses than negative responses and indicating that culinary treats in Jakarta is considered good by the community.
PELATIHAN DESIGN UI/UX PADA SISWA SMAN 58 JAKARTA Nur Hayati; Fauziah Fauziah; Ira Diana Sholihati
Jurnal Abdimas Bina Bangsa Vol. 4 No. 2 (2023): Jurnal Abdimas Bina Bangsa
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/jabb.v4i2.777

Abstract

Based on the results of an analysis of the Community Service training in the previous odd semester of 2022/2023 which made websites using wireframes, this time we are trying to improve the website creation training process by introducing User Interface (UI) and User Experience (UX) training first to the students of SMAN 58 Jakarta by using the figma application. This is intended to make the website design more attractive. Even though in the previous website creation training, students were able to create their own website design, the appearance of the design still looked stiff because they were still focused on how to make the website, not on website design. In fact, the basis of making the website itself lies in the appearance design of the website. The figma application was chosen because it is easy to use, is a sharing application so that website creation can be done together on the same file, has many features, is cloud-based so it doesn't require installation, there are lots of additional plugins and it's free. This Community Service was carried hybrid in the Computer Laboratory of SMAN 58 Jakarta on Friday Juni, 9 2023 at 9am-11.30am with 12 participants who had previously been selected from the school. Based on the survey results, 92% of participants answered that they had never used the figma application and 100% of participants thought that the figma application helped make website creation easier.
Co-Authors Adnan Wahab Agung Triayudi Ahmad Fajar Andez Apriansyah Ani Rahmawati Azizah Azizah Danang Aji Pangestu Dede Saptoadi Dede Wandi Dede Wandi Destivanesha Rina Dewanto Harwin Rohan Dimas Dandy Aryarajendra Suprapto Fahrizal Firmansyah Fauziah Fauziah Fauziah Fitri, Iskandar Gabbi Rinzani Gista Nur Mauliddya Imam Pambudi Utomo Ira Diana Sholihati Iskandar Fitri Iskandar Fitri Iwan Wahyudin Jumari Jumari Mohamad Dimas Radityatama Muhammad Aulia Hakam Muhammad Fadel Sasongko Muhammad Rizki Wardhana Novi Dian Nathasia Nurhafni Rahayu Ratih Titi Komalasari Ridwan Ahmad Ma'arif Ridwan Ahmad Ma'arif Septi Andryana Solly Aryza Sri Rahayu Suprapto, Dimas Dandy Aryarajendra Syahbani Farhan Tita Noviani Tri Ichsan Saputra Tri Ichsan Saputra Yolanda Nur Oktavia