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Implementasi Twitter Bootstrap dalam Pengembangan Aplikasi Web E-Commerce (Studi Kasus Toko Putra Reban Kendal) Widayati, Yohana Tri; Prihati, Yani; Widjaja, Stephanus; Prakoso, Satrio Agung; Notobudojo, Angeline Renita
Jurnal Transformatika Vol. 19 No. 1 (2021): July 2021
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v19i1.3541

Abstract

This study aims to apply twitter bootstrap in an e-commerce web so that the web display becomes more responsive, that is, it can provide a display according to the device used to access the web. The object of this research is the Putra Reban Store in Kendal which markets local art equipment and supplies, especially masks.The system development method used in this research is the Scrum method with stages including product backlog, sprint backlog, sprint and working increment. This method was chosen because it can save system development time and can transform a business that is difficult to measure into one that is easy to develop. The system is designed with 2 actors, namely admin and customer. Admin has access rights to manage product data, customer data, and order data, while customers have the right to access product data and make order transactions.With this developed system, it is easier for Putra Reban Stores to market their products because product descriptions and product availability stocks can be informed more easily and accurately. With complete and accurate product information, it will also be easier for customers to make transactions.
Sistem Informasi Penjualan Produk Berbasis Mobile Pada Toko Nur Mranggen Fahiem, Ahmad Muhammad; Prihati, Yani; Yusup, Yusup
INTECOMS: Journal of Information Technology and Computer Science Vol 7 No 4 (2024): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v7i4.10431

Abstract

Perkembangan teknologi telah memberikan manfaat besar di sektor bisnis, namun Toko Nur masih menggunakan metode konvensional yang menyebabkan masalah operasional seperti kesalahan pencatatan pesanan, alamat pengiriman, harga produk, dan kurangnya informasi ketersediaan produk. Tidak adanya catatan transaksi penjualan juga menyulitkan pelacakan riwayat pembelian pelanggan. Dengan menggunakan metode penelitian waterfall yang mencakup analisis kebutuhan, desain, implementasi, pengujian, dan pemeliharaan, serta pengumpulan data melalui observasi, wawancara, dan studi literatur, dikembangkanlah sistem informasi penjualan berbasis mobile menggunakan Flutter, Express JS, dan MySQL. Sistem ini bertujuan untuk memudahkan proses penjualan, pencatatan pesanan, pemantauan stok, dan penyediaan laporan penjualan, sehingga pemilik toko dapat membuat keputusan pembelian yang lebih baik.
Implementasi CI/CD Menggunakan Github Actions Untuk Pengembangan Web Landing Page UMKM XYZ Apriliyanto, Firmansyah Putra; Prihati, Yani; Bakti, Cristeddy Asa
INTECOMS: Journal of Information Technology and Computer Science Vol 7 No 4 (2024): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v7i4.10961

Abstract

Penerapan teknologi informasi yang efektif sangat penting bagi UMKM untuk meningkatkan daya saing di era digital. UMKM XYZ menghadapi tantangan dalam pengembangan dan pengelolaan web landing page yang efisien dan reliabel. Penelitian ini bertujuan untuk menerapkan metode Continuous Integration/Continuous Deployment (CI/CD) menggunakan GitHub Actions dalam pengembangan web landing page UMKM XYZ. Metode yang digunakan melibatkan pengaturan pipeline CI/CD yang otomatis mengintegrasikan, menguji, dan menerapkan perubahan kode. Temuan penelitian menunjukkan bahwa implementasi GitHub Actions berhasil meningkatkan efisiensi proses pengembangan, mengurangi waktu pengujian dan deploy, serta meminimalkan kesalahan dalam kode. Kesimpulan dari penelitian ini adalah bahwa penerapan CI/CD dengan GitHub Actions memberikan kontribusi signifikan terhadap peningkatan kualitas dan kecepatan pengembangan web UMKM, memungkinkan tim pengembang untuk lebih fokus pada peningkatan fitur dan layanan tanpa terbebani oleh masalah integrasi dan deploy manual.
Dashboard Pemantauan Inventori Pada Mixue Erlangga Simpang Lima Berbasis Web Jaya, Theofilus Palaun; Prihati, Yani; Gondohanindijo, Jutono
INTECOMS: Journal of Information Technology and Computer Science Vol 7 No 5 (2024): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v7i5.11407

Abstract

This research aims to develop a web-based inventory monitoring dashboard for Mixue Erlangga Simpang Lima. The dashboard is designed to provide ease in monitoring and managing stock in real-time, thereby enhancing operational efficiency and reducing the risk of stockouts or overstocking. The research methodology includes needs analysis, system design, development, and application testing. The result of this research is a dashboard that can display inventory data visually and interactively, and provide notifications when stock levels approach predefined minimum or maximum limits. The implementation of this dashboard is expected to assist management in making quicker and more accurate decisions regarding inventory management. User evaluations indicate that this dashboard successfully improves efficiency and effectiveness in monitoring and managing stock at Mixue Erlangga Simpang Lima.
Implementasi Metode Waterfall Pada Sistem Informasi Inventaris Barang Berbasis Web Di Hotel Grand Edge Semarang Widodo, Tulus Suryo; Prihati, Yani; Gondohanindijo, Jutono
INTECOMS: Journal of Information Technology and Computer Science Vol 7 No 5 (2024): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v7i5.11842

Abstract

A company asset, inventory management must always be monitored for its existence and condition. Inventory management of a company is very important. The stages of the waterfall software development method are used as the basis for the structure of requirements analysis, design, implementation, and system testing. Employee input data, item input data, and purchase input data are some parts of the designed information system. By choosing an efficient Rapid Application Development (RAD) approach, a Web-based Goods Inventory Information System was developed to solve the problem of errors and data duplication. The research methodology consists of observation, interviews, literature research. The purpose of this research is to design a web-based inventory information system to help manage inventory data at Grand Edge Hotel Semarang.
ANALISIS DAN KOMPARASI ALGORITMA NA VE BAYES DAN C4.5 UNTUK KLASIFIKASI LOYALITAS PELANGGAN MNC PLAY KOTA SEMARANG Widayati, Yohana Tri; Prihati, Yani; Widjaja, Stephanus
Jurnal Transformatika Vol. 18 No. 2 (2021): January, 2021
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v18i2.2541

Abstract

Customer loyalty is an important factor to the survival of a company. The problem facting today is related to the descreasing number of customer loyalty that happened to PT MNC Play. If this is allowed   to continue it is not impossible this will endanger the continuity of the company s business.Keep in mind the factors that cause customers to have loyal and disloyal status, data mining classification techniques can be used to classify loyal and disloyal customers. Many data mining classification algorithms can be used, so it needs to be comparative to know the accuracy of each algorithm, the algorithem used is C4.5 and Na ve Bayes. The data used were 28,899MNC Play customer of Semarang City.The results of the classification   process were evaluated using cross validation, confusion matrix, ROC Curve to find the more accurate data mining classification algorithm to determine loyal and disloyal customers.Keywords: Classification, Customers Loyalty, Na ve Bayes, C4.5.
Dampak Penerapan ODOO ERP Terhadap Kinerja Supply Chain Management Pada PT Anugrah Jaya Group Amsa, Femas Galang Samudra; Prihati, Yani; Wahyuni, Ana
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 10, No 2 (2025): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v10i2.927

Abstract

Companies in the digital era need to integrate business processes to improve efficiency and competitiveness. Odoo is an open-source Enterprise Resource Planning (ERP) platform that provides integrated solutions for managing diverse operational functions, including Supply Chain Management (SCM). The implementation of Odoo ERP at PT Anugrah Jaya Group, a company engaged in the sale of gadget accessories, has proven to enhance inventory management efficiency, accelerate order processing, and improve reporting accuracy. The system also reduces the risk of supply delays and strengthens coordination among departments within the supply chain. This system design utilizes Unified Modeling Language (UML) to visualize business process flows and ensure optimal integration. Therefore, Odoo ERP contributes positively to improving SCM performance and serves as a strategy that supports the sustainability of business processes at PT Anugrah Jaya Group.
PENGEMBANGAN APLIKASI RENTAL MOTOR BERBASIS WEB DI ELNATAN GARAGE Natal Dinata, Wilson; Prihati, Yani; Yusup, Yusup
INTECOMS: Journal of Information Technology and Computer Science Vol. 8 No. 5 (2025): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/cx456v46

Abstract

Elnatan Garage merupakan usaha rental motor yang masih menggunakan sistem manual dalam pencatatan dan pemesanan, sehingga rentan terhadap kesalahan data dan tidak efisien. Penelitian ini bertujuan mengembangkan aplikasi rental motor berbasis web untuk mempermudah proses pemesanan dan digitalisasi layanan. Metode pengembangan menggunakan model SDLC Waterfall dengan pendekatan berorientasi objek, serta teknologi PHP CodeIgniter dan MySQL. Aplikasi yang dihasilkan memungkinkan customer melakukan pemesanan online, dan admin mengelola data motor, tipe, customer, transaksi, dan laporan secara real time. Sistem ini diharapkan dapat meningkatkan efisiensi operasional dan memperlancar proses pemesanan, meskipun pengujian lebih lanjut pada berbagai perangkat masih dibutuhkan untuk memastikan implementasi yang optimal. Kata Kunci: rental motor, aplikasi web, CodeIgniter, sistem informasi, Elnatan Garage.
IMPLEMENTASI FUZZY K-NEAREST NEIGHBOR UNTUK KLASIFIKASI PENYAKIT SKIZOFRENIA PADA RUMAH SAKIT JIWA DAERAH (RSJD) Dr. AMINO GONDOHUTOMO Setia Budi, Agung; Prihati, Yani; Tridian Galih, Sinta
INTECOMS: Journal of Information Technology and Computer Science Vol. 8 No. 5 (2025): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/1v0fwk69

Abstract

Skizofrenia merupakan gangguan mental berat yang ditandai oleh gejala kompleks dan sering tumpang tindih antar tipe, sehingga menyulitkan proses diagnosis secara akurat. Penelitian ini bertujuan untuk mengimplementasikan algoritma Fuzzy K-Nearest Neighbor (FKNN) guna mengklasifikasikan jenis skizofrenia berdasarkan gejala pasien, dengan menggunakan data rekam medis dari RSJD Dr. Amino Gondohutomo. FKNN dipilih karena kemampuannya dalam menangani ketidakpastian data dan menghasilkan klasifikasi berbasis derajat keanggotaan, sehingga lebih adaptif terhadap variasi gejala yang bersifat samar. Sebanyak 300 data pasien digunakan dan dibagi menjadi data latih dan data uji (70:30), melalui tahapan encoding, normalisasi, dan proses klasifikasi dengan parameter k = 5 dan m = 2. Evaluasi dilakukan menggunakan confusion matrix, akurasi, precision, recall, dan F1-score. Hasil akhir menunjukkan bahwa model FKNN mampu mencapai akurasi sebesar 83%, yang menandakan performa good clasification dan potensi implementatif dalam. Kata Kunci: Skizofrenia, Fuzzy K-Nearest Neighbor, Klasifikasi, Data Mining