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All Journal Jurnal Multidisiplin Sahombu Jurnal Ilmu Komputer (JIK)
Budiyono, Pungkas
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Arts Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology

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SENTIMEN ANALISIS APLIKASI FERIZY MENGGUNAKAN ALGORITMA NAIVE BAYES Rahmatullah, Beni; Budiyono, Pungkas; Aditya Saputra, Suwanda
Jurnal Ilmu Komputer Vol 6 No 3 (2023): Jurnal Ilmu Komputer (JIK)
Publisher : LPPM-STMIK Pranata Indonesia

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Abstract

Transportasi merupakan kebutuhan yang paling digunakan dalam aktifitas sehari-hari dalam bekerja, dan kegiatan yang lainnya. Transportasi laut salah satunya menjadi yang diminati oleh masyarakat terlebih lagi indonesia negara kepulauan. Penggunaan aplikasi Ferizy menjadi salah satu penunjang dan mempermudah dalam membeli tiket secara online, Saran dan kritik dari pelanggan guna memperbaiki sistem dan pelayanan yang diberikan. Dalam hal ini penulis memperoleh data dari komentar di playstore dan menggunakan algoritma Naive Bayes. Hasil akurasi yang didapat membuktikan komentar negative tertinggi dengan dengan Akurasi 98 % dan AUC 0.988.
Development of a Web-Based Printing Service Application Using the Waterfall Model Susila, Mochamad Nandi; Haryanto, Haryanto; Fridayanthie, Eka W; Budiyono, Pungkas
Jurnal Multidisiplin Sahombu Vol. 5 No. 08 (2025): Jurnal Multidisiplin Sahombu, December (2025)
Publisher : Sean Institute

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Abstract

The rapid growth of the creative industry has increased the demand for printing services that are fast, accurate, and consistent in quality. However, many printing businesses still rely on manual operational processes, including order recording, design verification, cost estimation, and production monitoring. These limitations often result in delays, miscommunication with customers, and difficulties in tracking incoming orders. This study focuses on the development of a web-based information system designed to automate the ordering process and enhance communication between customers and printing service providers. The system was developed using the Waterfall model, which consists of requirement analysis, system design, implementation, testing, and maintenance. Data were collected through field observations and interviews with the owner of a local printing business. The results indicate that the developed system provides online ordering features, design file uploads, automatic cost estimation, job status tracking, and real-time process update notifications. The implementation of this system not only improves production efficiency but also reduces recording errors and enhances customer satisfaction. This web-based solution is expected to support the digital transformation of printing service businesses in the modern industrial era.
Co-Authors Beni Rahmatullah Eka W Fridayanthie, Eka W Haryanto Haryanto Mochamad Nandi Susila Suwanda Aditya Saputra