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All Journal Indonesian Journal on Software Engineering (IJSE) Journal of Technopreneurship and Information System (JTIS) Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Jurnal Sistem Informasi Akuntansi Conten : Computer and Network Technology J-Intech (Journal of Information and Technology)
Wati, Fanny Fatma
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Library & Information Science

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Pengelompokan Siswa Penyandang Disabilitas Berdasarkan Tingkat Tunagrahita Menggunakan Algoritma K-Medoids Pratmanto, Dany; Wati, Fanny Fatma; Rousyati, Rousyati; Crisna, Aditia
Indonesian Journal on Software Engineering (IJSE) Vol 5, No 1 (2019): IJSE 2019
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (366.164 KB) | DOI: 10.31294/ijse.v5i1.6550

Abstract

Abstract: Mentally retarded children have obstacles in the activity of the name of the child who still needs proper education in the learning process. SLB Shanti Yoga is one of the best schools that provides educational facilities for children with special needs for people with mental disabilities. The number of criteria determining the level of mentally retarded students makes SLB Shanti Yoga have difficulty in dividing the class according to the results of observations made. So from that research was made to classify data on students with mental retardation to determine the class occupied so that the school can prepare it. The K-Medoids algorithm of clustering techniques can help in grouping students who will occupy classes including light, medium, and heavy classes. The class that has the highest number of students is the heavy mental retardation class while the class that has the lowest number of students is the moderate mental retardation class, with known data grouping results, SLB Shanti Yoga can prepare the class to be used for teaching and learning activities. Keywords: Mentally retarded, data mining, clustering, K-Medoids
Pengaruh Lingkungan Kampus dan Pembelajaran Kewirausahaan terhadap Keinginan Berwirausaha (Technopreneur) pada Mahasiswa Wati, Fanny Fatma; Sukmawati, Linda; Alamsyah, Doni Purnama
Journal of Technopreneurship and Information System (JTIS) Vol 2, No 2 (2019): Journal Techoprenership and Information System
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jtis.v2i2.147

Abstract

Salah satu cara untuk mengatasi pengangguran adalah mendorong pertumbuhan kewirausahaan. Untuk mendorong pertumbuhan kewirausahaan, dan tentunya mengurangi pengangguran terbuka pendidikan Diploma,Sarjana dan Pascasarjana, pihak perguruan tinggi bertanggung jawab dalam mendidik dan memberikan kemampuan berwirausaha serta memberikan motivasi kepada lulusannya agar memilih berwirausaha sebagai karirnya dan memiliki  intensi untuk memulai usaha serta memiliki kesiapan dalam hal pengetahuan kewirausahaan. Salah satunya yaitu dengan menambahkan pembelajaran (entrepreneurship) sabagai mata kuliah wajib di setiap programstudi bagi mahasiswa yang bertujuan untuk menumbuhkan pengetahuan bahwa berwirausaha harus memiliki prinsip serta kepercayaan diri yang kuat. Perguruan tinggi berbasis teknologi komputer, pengetahuan tentang enterpreneurship bertujuan untuk menghasilkan lulusan berjiwa wirausaha di bidang informatika yang mampu bersaing secara global, juga mendorong intensi berwirausaha berbasis teknologi (technopreneurship). Metode pengumpulan data yang dilakukan dalam penelitian ini dengan metode survei.Teknik pengambilan sampel dalam penelitian ini adalah purposive sampling. Berdasarkan uji di lingkungan kampus, pembelajaran kewirausahaan dan keinginan wirausaha, data menunjukkan valid dan realibel.
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
Implementasi Algoritma SVM dan Naive Bayes untuk Analisis Sentimen pada Ulasan Pengguna Aplikasi OneDrive Widodo, Andrian Eko; Wati, Fanny Fatma; Hidayati, Nadiyah
Indonesian Journal on Software Engineering Vol 10, No 2 (2024): IJSE 2024
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/ijse.v10i2.23523

Abstract

Abstrak Teknologi saat ini menawarkan solusi penyimpanan data secara online yang dikenal sebagai cloud storage. Contohnya adalah OneDrive, yang memungkinkan pengguna untuk menyimpan, berbagi, dan mengakses berkas secara fleksibel dari berbagai platform. Dengan populernya OneDrive, peningkatan penggunaannya membawa implikasi besar terhadap pengalaman pengguna dan keberhasilan bisnis Microsoft. Persepsi dan pengalaman pengguna sangat penting dalam menilai kualitas aplikasi, karena ulasan di platform seperti Google Play Store memberikan gambaran nyata tentang kepuasan dan kebutuhan pengguna. Agar layanan suatu aplikasi dapat digunakan dan diterima oleh pengguna, maka harus memiliki pengalaman pengguna yang baik. Seiring meningkatnya jumlah pengguna di Google Play Store, ulasan yang diberikan juga terus bertambah. Ulasan ini sering menjadi sumber informasi penting tentang produk atau aplikasi perangkat lunak tertentu. Namun, jumlah ulasan yang banyak dan beragam dapat memberikan dampak positif maupun negatif bagi pengembang. Oleh karena itu, diperlukan sistem otomatis untuk mengolah data ulasan tersebut melalui analisis sentimen. Penelitian ini bertujuan untuk menganalisis sentimen pengguna terhadap aplikasi OneDrive di Google Play Store, untuk melihat kecenderungan opini pengguna, apakah bersifat negatif atau positif. Penelitian ini menggunakan metode Naive Bayes dan Support Vector Machine (SVM) untuk mengklasifikasikan ulasan pengguna menjadi sentimen positif atau negatif. Proses penelitian meliputi perumusan masalah, perancangan penelitian, pengumpulan data ulasan, pengolahan data, penyajian data dalam bentuk tabel, dan analisis data. Peneliti berharap hasil penelitian ini dapat membantu pengembang aplikasi dalam menilai kekurangan dan kelebihan aplikasi mereka serta menjadi bahan evaluasi di masa mendatang.               Kata kunci: Algoritma SVM, Naïve Bayes, OneDrive Abstract Current technology offers online data storage solutions known as cloud storage. An example is OneDrive, which allows users to store, share, and access files flexibly from various platforms. With the popularity of OneDrive, its increasing use has major implications for the user experience and the success of Microsoft's business. User perception and experience are very important in assessing the quality of an application, because reviews on platforms such as the Google Play Store provide a real picture of user satisfaction and needs. In order for an application service to be used and accepted by users, it must have a good user experience. As the number of users on the Google Play Store increases, the reviews given also continue to increase. These reviews are often an important source of information about a particular software product or application. However, the large number and variety of reviews can have a positive or negative impact on developers. Therefore, an automated system is needed to process the review data through sentiment analysis. This study aims to analyze user sentiment towards the OneDrive application on the Google Play Store, to see the tendency of user opinion, whether it is negative or positive. This study uses the Naive Bayes method and Support Vector Machine (SVM) to classify user reviews into positive or negative sentiment. The research process includes problem formulation, research design, review data collection, data processing, data presentation in tabular form, and data analysis. The researcher hopes that the results of this study can help application developers in assessing the shortcomings and advantages of their applications and become evaluation material in the future.Keywords: SVM algorithm, Naïve Bayes, OneDrive
Sistem Informasi Raport Online Berbasis Web Pada SMK Negeri 1 Slawi Wati, Fanny Fatma; Widodo, Andrian Eko; Sari, Ratna Kurnia
Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Vol 9 No 1 (2023): Journal CERITA : Creative Education of Research in Information Technology and Art
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (503.314 KB) | DOI: 10.33050/cerita.v9i1.2659

Abstract

The work system of teachers and staff of SMKN 1 Slawi still uses a conventional system that has the risk of errors in data input, besides that conventional data input also takes a long time to process. The design of the E-Raport Information System for SMK N 1 Slawi is a web-based information system created to facilitate and speed up teachers and staff in inputting data and assessing and evaluating students' learning from data input to printing report cards. The design of the E-Report Card Information System is expected to change the way teachers work from a conventional work system to a digital work system. In addition, the design of the e-report card information system aims to minimize errors in inputting data and student scores. The web-based E-Report Card Information System is designed using the SDLC (System Developmen Life Cyce) development system which carries out the research process using the waterfall method. Meanwhile, the software model carried out in the preparation of this research uses a programming model. The language used for this research is to discuss CSS programming, PHP, Java Script, HTML, Font Awesome, Data Tables, Boostrap and the databases used are MySQL and MariaDB databases
Aplikasi Elektronik Kasir Umum E-ku Berbasis Website Metode Spiral Toko Zaynmart Fauzi, Ahmad; Wati, Fanny Fatma; Nurohim, Galih Setiawan
Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Vol 10 No 1 (2024): Journal CERITA : Creative Education of Research in Information Technology and Ar
Publisher : UNIVERSITAS RAHARJA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/cerita.v10i1.2990

Abstract

In light of the rapid technological advancements today, the utilization of the E-Ku web-based General Electronic Cashier Application remains highly relevant in aiding Micro, Small, and Medium Enterprises (UMKM) in enhancing their daily transaction efficiency. A case study for the implementation of this technology is illustrated through Zaynmart Store. The research approach adopted encompasses an analysis of Zaynmart Store's requirements and the development of web-based software accessible through a variety of devices, including computers, tablets, and smartphones. E-Ku Application empowers UMKM proprietors and their staff to effortlessly record sales transactions, manage inventory, and generate precise financial reports. Research findings underscore that the implementation of E-Ku's web-based General Electronic Cashier Application positively impacts the operational efficiency of Zaynmart Store. The streamlined transaction process facilitates time savings, reduces error potential, and enhances financial record-keeping accuracy for UMKM. Furthermore, E-Ku Application supports store owners in making informed decisions based on the data it provides. Consequently, the E-Ku web-based General Electronic Cashier Application stands as an effective tool for aiding UMKM, such as Zaynmart Store, in managing their day-to-day transactions, improving operational efficiency, and enhancing customer service. The successful implementation of E-Ku highlights the considerable potential of web technology in bolstering the growth and development of UMKM in this digital age.
Sistem Informasi Pemesanan Menu Kafe Menggunakan QR-Code Widodo, Andrian Eko; Wati, Fanny Fatma; Widayanto, Aprih
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 Wati, Fanny Fatma; Widodo, Andrian Eko; Abror, Dzulchan
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.
Sistem Informasi Penjualan Sparepart Motor pada Toko Ketapang Motor Margasari Wati, Fanny Fatma; Anggraini, Recha Abriana; Hidayati, Nadiyah; Maulidah, Mawadatul
Jurnal Sistem Informasi Akuntansi (JASIKA) Vol. 5 No. 1 (2025): Mei 2025
Publisher : LPPM UBSI Kampus Kota Tegal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/erng7g94

Abstract

Developments in the increasingly rapid technological era have resulted in business people encouraging their companies to run more effectively along with the times. This is done in order to maximize profits. One technology that is often looked at is information system technology in the form of websites. The Ketapang Motor Shop, which is a motorbike spare parts and accessories trading business, has several problems including the sales report section, stock reports that are not recorded and not filed every month so that existing data is often lost. In sales transactions, payments are still made using notes so that the calculation and inventory of goods is not yet effective. Therefore, a website-based sales information system was created using the waterfall system development method to overcome this problem. The website was created using several programming languages, namely HTML, PHP, CSS, Bootstrap, and Javascript with MySQL as the data storage database. The existence of this website will help companies, especially in the recording process at the cashier so that the quality of the information presented is more accurate.
ANALISIS SENTIMEN ULASAN PENGGUNA APLIKASI DEEPSEEK MENGGUNAKAN ALGORITMA RANDOM FOREST DAN NAIVE BAYES Wati, Fanny Fatma; Suleman, Suleman; Widodo, Andrian Eko
CONTEN : Computer and Network Technology Vol. 5 No. 1 (2025): Juni 2025
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/hqpha267

Abstract

Perkembangan teknologi aplikasi yang mengandalkan kecerdasan buatan mengalami pertumbuhan yang pesat, salah satunya adalah Deepseek, sebuah mesin pencari berbasis pemrosesan bahasa alami. Seiring dengan bertambahnya jumlah pengguna, ulasan yang beragam menjadi sumber data penting untuk mengevaluasi kualitas layanan aplikasi tersebut. Penelitian ini bertujuan untuk menganalisis sentimen dari ulasan pengguna aplikasi Deepseek guna memahami persepsi publik terhadap performa aplikasi. Metode yang digunakan mencakup algoritma klasifikasi Random Forest dan Naïve Bayes. Data ulasan diperoleh dari platform distribusi aplikasi, diproses melalui tahapan pembersihan, tokenisasi, penghapusan kata tidak penting, dan stemming, serta ekstraksi fitur menggunakan TF-IDF. Dataset yang digunakan terdiri dari ulasan berbahasa Indonesia yang telah diberi label positif dan negatif secara manual. Evaluasi dilakukan menggunakan metrik akurasi, presisi, recall, dan F1-score. Hasil penelitian menunjukkan bahwa Random Forest menghasilkan akurasi tertinggi sebesar 96,38%, sedangkan Naïve Bayes menunjukkan akurasi yang lebih rendah. Hal ini menunjukkan bahwa Random Forest memiliki kinerja lebih baik dalam memahami pola kata dan struktur kalimat yang kompleks. Kesimpulan dari penelitian ini menegaskan bahwa analisis sentimen berbasis machine learning efektif digunakan untuk mengevaluasi opini pengguna dan dapat menjadi acuan dalam pengambilan keputusan pengembangan aplikasi. Temuan ini juga mendukung efisiensi dalam menangani ulasan dalam jumlah besar serta membangun layanan yang lebih responsif terhadap kebutuhan pengguna.
Co-Authors Abror, Dzulchan Ahmad Fauzi Akbar, Muhammad Faitullah Andrian Eko Widodo Anggraini, Recha Abriana Aprih Widayanto Crisna, Aditia Dany Pratmanto Doni Purnama Alamsyah Fabriyan Fandi Dwi Imaniawan Fauzi, Ahmad Galih Setiawan Nurohim Mawadatul Maulidah Nadiyah Hidayati Rousyati, Rousyati Sari, Ratna Kurnia Sukmawati, Linda Suleman Suleman