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Perancangan Dashboard Untuk Manajemen Penjualan Produk Pada Perusahaan XYZ Dalam Pengambilan Keputusan Bisnis Nurohim, Galih Setiawan; ahmad fauzi; Akbar, Muhammad Faitullah; Wati, Fanny Fatma
Jurnal Sistem Informasi Akuntansi (JASIKA) Vol. 4 No. 01 (2024): Mei 2024
Publisher : LPPM UBSI Kampus Kota Tegal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/jasika.v4i01.3461

Abstract

XYZ is a company engaged in marketing and analytics. To improve sales efficiency and product management, XYZ requires the implementation of a dashboard for visualizing sales data. This dashboard is expected to provide accurate information that is useful for business decision-making and monitoring sales progress. The development method used in the design of this dashboard is prototype, and the tool used for data visualization is Chart.js. The sales data used is real-time data obtained from the previously developed web application. This dashboard allows for the visualization of various aspects of sales, including customer distribution, sales percentages by product, and evaluation of factors influencing repeat purchase decisions
Sistem Informasi Pemesanan Menu Kafe Menggunakan QR-Code Andrian Eko Widodo; Fanny Fatma Wati; Aprih Widayanto
J-INTECH ( Journal of Information and Technology) Vol 11 No 1 (2023): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v11i1.865

Abstract

During this pandemic, to reduce the spread of COVID-19, it is necessary to implement health protocols in community activities, including in the culinary business. By utilizing the QR-Code the cafe owner can realize the use of a digital menu that can be accessed from a cafe visitor's smart device. The use of digital menu lists is intended to prevent Covid-19 transmission through manual lists or menu books, which are usually used interchangeably by many visitors. By scanning the QR-Code placed on the cafe table, visitors can select a menu and place an order by minimizing contact with manual menu lists and cafe employees. Through this application, cafe owners can also manage sales at their cafes, including sales statistics, receipt printing, menu updates, etc.
Sistem Informasi Penerimaan Karyawan Berbasis Website Pada PT Federal International Finance Cabang Kota Tegal Fanny Fatma Wati; Andrian Eko Widodo; Dzulchan Abror
J-INTECH ( Journal of Information and Technology) Vol 12 No 1 (2024): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v12i1.1189

Abstract

Human Resources (HR) is indeed very influential for the success of an organization, and an effective selection process is one of the keys to ensure that the selected human resources have motivation, ability in the company. By conducting a good selection process, companies can ensure that they get the right individuals for the available positions. Changing the selection process from a manual method to an online system through the official website will bring many advantages. These include increased efficiency in managing applicant data, expanding the range of candidate searches, and speeding up the selection process. At PT Federal Internasional Finance in the employee recruitment process still uses a manual system so a website is needed to facilitate the employee recruitment process to be more effective and efficient. In making this website using the waterfall method starting from the planning stage to the system maintenance stage. The results of this study are computerized acceptance of new employees, expected to be able to contribute to the company, especially Human Resources (HR). The process of accepting prospective new employees of PT. Federal International finance spends a long time, will have a direct impact on inefficient data which will cause inaccuracies in a data.
Peningkatan Daya Saing Produk UMKM Sampurna Jaya Desa Sidapurna Melalui Pelatihan Branding dan Packaging Fanny Fatma Wati; Nadiyah Hidayati; Mawadatul Maulidah; Siti Khalimah; Galih Praditya Nugraha
Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat Vol. 8 No. 1 (2025): Januari 2025
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat (LPPM) Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/jabdimas.v8i1.7429

Abstract

UMKM Sampurna Jaya merupakan kumpulan usaha mikro, kecil, dan menengah yang berlokasi di Desa Sidapurna, Kabupaten Tegal, Jawa Tengah. Meski memiliki potensi produk yang menjanjikan, terutama di sektor makanan dan minuman,   UMKM Sampurna Jaya menghadapi beberapa kendala seperti kurangnya pengetahuan dan keterampilan dalam branding produk, kemasan yang kurang menarik, kesulitan meningkatkan daya saing produk, minimnya inovasi, serta akses terbatas pada informasi dan pelatihan mengenai branding dan packaging. Untuk mengatasi permasalahan tersebut, diusulkan solusi berupa kegiatan sosialisasi dan pelatihan branding serta packaging produk. Tujuannya agar UMKM dapat memahami konsep branding yang baik, merancang identitas merek yang konsisten, serta menghasilkan kemasan yang menarik dan sesuai tren pasar saat ini. Selain itu, direncanakan pula pelatihan pemanfaatan teknologi informasi untuk meningkatkan penjualan dan memberikan pemahaman tentang pentingnya riset dan pengembangan serta manajemen waktu dalam berwirausaha. Kegiatan pengabdian masyarakat ini telah dilaksanakan dengan metode sosialisasi, pelatihan, dan pendampingan oleh tim dosen dan mahasiswa dari Universitas Bina Sarana Informatika Tegal. Hasil dari pengabdian masyarakat yang telah dilaksanakan meliputi peningkatan pengetahuan, keterampilan, dan kualitas produk UMKM Sampurna Jaya Desa Sidapurna.
ANALISIS SENTIMEN MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBOR PADA REVIEW APLIKASI SHOPEE Wati, Fanny Fatma; Hidayati, Nadiyah; Maulidah, Mawadatul; Widodo, Andrian Eko; Astuti, Rachmawati Darma
CONTEN : Computer and Network Technology Vol. 5 No. 2 (2025): Desember 2025
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/conten.v5i2.10116

Abstract

E-commerce merupakan media yang memfasilitasi transaksi komersial antara individu dengan individu maupun antara individu dan organisasi melalui sistem daring. Salah satu bentuk implementasi e-commerce adalah aplikasi Shopee. Shopee dikembangkan sebagai aplikasi berbasis perangkat mobile yang memungkinkan pengguna melakukan aktivitas belanja secara online dengan mudah, sehingga transaksi dapat dilaksanakan dimanapun dan kapanpun. Aplikasi tersebut tentunya mempunyai kekurangan dan kelebihan yang dirasa oleh masyarakat. Dari adanya kekurangan dan kelebihan aplikasi shopee tidak sedikit masyarakat yang memberikan ulasan negatif maupun positif terhadap aplikasi tersebut. Pemanfaatan data dalam jumlah besar dapat dilakukan melalui penerapan teknik Data Mining. Penelitian ini bertujuan untuk menganalisis berbagai masalah yang dituju terhadap pengguna terhadap aplikasi Shopee di Google Play Store serta mengukur tingkat akurasi analisis sentimen yang dihasilkan menggunakan algoritma K-Nearest Neighbors (KNN). Menghasilkan bahwa dengan algoritma KNN diperoleh nilai akurasi Pred.Negatif nilainya sebesar 69,59%. Hasil dari Pred.Positif nilainya sebesar 71,70%.  Sedangkan nila accuracy 70,51% dan nilai AUC sebesar  0.804 +/- 0.053 (mikro: 0.804) (positive class: Positif).   E-commerce is a means of commercial transactions between individuals and organizations or a buying and selling transaction conducted online. One example of e-commerce implementation is the Shopee application. Shopee is available in the form of a mobile phone application that makes it easier for users to shop online, allowing access anytime and anywhere. Of course, this application has advantages and disadvantages perceived by the public. Due to the application’s strengths and weaknesses, many users provide both positive and negative reviews of the app. Techniques for utilizing large amounts of data can be applied through Data Mining. The purpose of this research is to analyze issues related to several reviews of the Shopee application on Google Play Store and to determine the accuracy results of sentiment analysis generated using the KNN (K-Nearest Neighbors) algorithm. The result showed that with KNN algorithm obtained the value of Pred. Negative accuracy value of 69.59%. Results from Pred. Positive value of 71.70%.  While accuracy value 70.51% and AUC value of 0804 +/-0053 (Micro: 0804) (positive class: positives).