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All Journal ILKOM Jurnal Ilmiah JSiI (Jurnal Sistem Informasi) PROSISKO : Jurnal Pengembangan Riset dan observasi Rekayasa Sistem Komputer AMMA : Jurnal Pengabdian Masyarakat
Sunny Samsuni
Universitas Serang Raya
Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Nursing

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Sistem Rekomendasi Wisata Pantai menggunakan Metode Simple Additive Weighting Suherman Suherman; Sunny Samsuni; Imam Lukman Hakim
ILKOM Jurnal Ilmiah Vol 12, No 1 (2020)
Publisher : Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v12i1.481.1-7

Abstract

The number of beach tourism in the Serang Regency or Anyer beach region and the diversity of the desires of every tourist, then tourists are required knowledge of traveling in terms of choosing the desired tourist location. For tourists who already have the experience of traveling on the Anyer beach, it is not too difficult to determine the desired tourist location, but most tourists who do not have the tourist experience on the Anyer beach will have difficulty being able to determine the expected beach tourism location. This study aims to provide recommendations of 24 Anyer beach tourist attractions to tourists. Recommendations generated using the Simple Additive Weighting (SAW) method using 12 criteria. The results of this study are in the form of applications that can be accessed online. The application can produce appropriate recommendations for tourists in the form of alternative beach tourism along with details such as the name of the beach tour, address, coordinates of Google Maps, photos of the state of beach tourism and the price of admission.
RANCANG BANGUN APLIKASI E-COMMERCE PENJUALAN PRODUK KECANTIKAN DAN FASHION PADA AC FASHION STYLE Sunny Samsuni; Erni Erfiyani
PROSISKO: Jurnal Pengembangan Riset dan Observasi Sistem Komputer Vol. 5 No. 2 (2018)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1119.637 KB)

Abstract

AC Fashion Style adalah sebuah toko yang bergerak dalam penjualan produk kecantikan dan fashion. Sistem penjualan yang belum terkomputerisasi merupakan kendala yang dialami Toko AC Fashion Style karena akan mengakibatkan penumpukan dan kerusakan arsip. Maksud dari penelitian ini adalah untuk meminimalkan waktu proses penjualan dengan tujuan untuk meningkatkan volume penjualan sehingga pendapatan Toko AC Fashion Style dapat meningkat. Pengembangan sistem ini menggunakan pendekatan Zachman Framework sebagai kerangka kerja yang sudah teruji. Penelitian diawali dengan pengumpulan data-data menggunakan teknik interview, penyebaran kuisioner, observasi dan studi pustaka. Dengan menggunakan metode User Centered Desing (UCD) data-data kemudian dianalisis kebutuhan data dan kebutuhan proses. Dengan menggunakan Unified Modeling Language (UML) dirancang gambaran sistem secara keseluruhan. Aplikasi barbasis online yang dibangun menggunakan bahasa PHP dan database MySQL. Setelah sistem terbangun kemudian diimplementasikan langsung pada Toko AC Fashion Style. Sistem kemudian diuji dengan menggunakan Black Box System untuk menguji fungsionalitas sistem. Pengujian terhadap pengguna juga dilakukan dengan menggunakan metode UCD untuk mengukur tingkat usabilty pengguna. Hasil dari penelitian ini adalah pengujian Blackbox 100% berhasil, pengujian UCD 90% efektif dan efisien dan 85% pengguna merasa puas terhadap situs penjualan online ini.
Peran UMKM Dalam Meningkatkan Produktivitas Dan Perekonomian Nasional Berbasis Masyarakat Secara Berkelanjutan Sunny Samsuni; Suherman; Media Sucahya; Sulasno
AMMA : Jurnal Pengabdian Masyarakat Vol. 4 No. 7 : Agustus (2025): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

Community service program was carried out in the Kubang Sepat Inpres area, Cibeber Subdistrict, Cilegon City. This program aimed to enhance the capacity of MSME (UMKM) actors in product innovation, business legality, and digital marketing strategies. The implementation methods included observation, interviews, and documentation. Over eight meetings, MSME actors received direct training in creating Business Identification Numbers (NIB), promotional design (banners), product documentation, and website development as a digital marketing medium. The results showed that MSME actors had a better understanding of the importance of business legality and were able to utilize digital technology to expand their market reach. Additionally, MSME products became more visually appealing and accessible to consumers. This program had a positive impact on improving the quality of business operations and the professionalism of MSME actors.
Penerapan Metode Weighted Product dalam Sistem Pendukung Keputusan Rekomendasi Pemilihan Jurusan Kuliah di Perguruan Tinggi Suherman Halim; Geyza Falihy Putra Dini; Hendry Gunawan; Sunny Samsuni
Jurnal Sistem Informasi Vol. 13 No. 1 (2026)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/4m084410

Abstract

Determining a college major is an important decision that students often make without objective consideration, risking a mismatch between interests and abilities, which can ultimately lead to changing majors or dropping out. This research aims to design and implement a web-based Decision Support System (DSS) capable of providing objective major recommendations by considering students' academic abilities. The Weighted Product (WP) method was chosen due to its capability in handling multi-criteria problems with proportional weighting and automatic normalization. The system was developed using a technology stack of PHP, MySQL, HTML, CSS, and JavaScript, with XAMPP as the local server. Data was collected from 30 students of grade XII Science program at SMAN 8 Kota Serang, covering scores from six subjects (Mathematics, English, Indonesian, Physics, Chemistry, Biology) and five alternative engineering majors (Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Informatics). Testing results show that the system can generate major recommendations in less than 2 seconds. Accuracy evaluation using blackbox testing and cross-validation between final grades and try-out scores resulted in a compatibility rate of 36.67% for recommendations based on try-out scores, which is statistically more accurate compared to final grade-based recommendations (with 63.33% incompatibility). These findings indicate that try-out data is more representative in predicting academic potential for university admission. This system has proven to be effective, efficient, and has significant potential to be adopted by educational institutions as a data-based counseling tool
Co-Authors Erni Erfiyani Geyza Falihy Putra Dini Hendry Gunawan Imam Lukman Hakim Media Sucahya Suherman Halim Suherman Suherman Sulasno