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Darmaputra, Mochamad Fadjar
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Pengaruh Kualitas Produk, Citra Merek dan Harga terhadap Kepuasan Pelanggan pada Produk Nivea (Studi Kasus pada Mahasiswa di Kota Semarang) Febrian, Muhammad Ilham Bintang; Akbar, Shofif Sobaruddin; Darmaputra, Mochamad Fadjar
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 4 (2026): November - January
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i4.4674

Abstract

Persaingan industri perawatan tubuh khususnya produk hand & body lotion, menuntut perusahaan untuk memahami faktor-faktor yang memengaruhi kepuasan pelanggan. Penelitian ini bertujuan untuk menganalisis pengaruh kualitas produk, citra merek, dan harga terhadap kepuasan pelanggan pada produk Nivea. Objek penelitian adalah mahasiswa di Kota Semarang yang pernah menggunakan dan membeli produk Nivea. Metode penelitian yang digunakan adalah pendekatan kuantitatif dengan teknik pengambilan sampel purposive sampling. Jumlah sampel dalam penelitian ini sebanyak 90 responden. Data dikumpulkan melalui kuesioner dengan skala Likert 5 point dan dianalisis menggunakan analisis regresi linier berganda dengan bantuan software IBM SPSS Statistics 22. Hasil penelitian menunjukkan bahwa secara parsial kualitas produk, citra merek, dan harga berpengaruh positif dan signifikan terhadap kepuasan pelanggan. Secara simultan, ketiga variabel independen tersebut juga berpengaruh signifikan terhadap kepuasan pelanggan produk Nivea. Temuan ini mengindikasikan bahwa peningkatan kualitas produk, penguatan citra merek, serta penetapan harga yang sesuai dengan manfaat yang diterima konsumen dapat meningkatkan kepuasan pelanggan. Penelitian ini diharapkan dapat menjadi bahan pertimbangan bagi perusahaan dalam merumuskan strategi pemasaran yang lebih efektif guna meningkatkan kepuasan pelanggan dan daya saing merek di pasar. Penelitian ini diharapkan dapat menjadi bahan pertimbangan bagi Nivea dalam merancang strategi pemasaran yang lebih efektif guna meningkatkan kepuasan pelanggan, loyalitas konsumen, serta daya saing merek di pasar.
The Application of K-Nearest Neighbours Algorithms for the Classification of Fashion Trend Saputro, Nugroho Dwi; Wibowo, Setyoningsih; Darmaputra, Mochamad Fadjar
JUSS (Jurnal Sains dan Sistem Informasi) Vol. 2 No. 1 (2019): Jurnal Sains dan Sistem Informasi
Publisher : Prodi Sistem Informasi FST Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/juss.v2i1.6500

Abstract

The commerce department in indonesia has been formulating indonesia economic development plan creative explain about the evolution of the year 2025 creative economy, The shift from agriculture to the industrial era and the era of information and now entering the era of economic globalization. The development of industries create a pattern of work the production and distribution of cheap and more efficient. Fashion industry is one of the creative economy development Creative economy in many countries today encourage the people. Fashion or mode of itself is the activity associated with the design, the production of, consultation and the distribution of the product of fashion .Producers fashion industry composed of fashion clothing and accessories, fashion industry bag manufacturers, shoes and accessories. In clothes creation, the trend of being important aspect .Designers indonesia today still follow the trend of europe are affected by the type of the season. Decision-making on the basis of the data and accurate information will result in a decision to fashion trend clasification on creative industries can be done by adopting the approach of data mining. According to Tan Pang-Ning data mining is a process that done automatically to find information that is useful in a repository big data.
Student Graduation Prediction Using Algoritma C 4.5 With Fitur Selection Chi Square Darmaputra, Mochamad Fadjar
JUSS (Jurnal Sains dan Sistem Informasi) Vol. 8 No. 2 (2025): Jurnal Sains dan Sistem Informasi
Publisher : Prodi Sistem Informasi FST Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/juss.v8i2.6501

Abstract

Prediction study period is required by the university management in determining the policy of preventive related to prevention since the beginning of the case DO (Drop Out) This study aims to determine the factors of academic influence on these students can graduate on time or not, and build predictive models best with data techniques .Criteria elections mining model used is the chi-square method selection feature. C4.5 algorithms generated by that period of study is influenced by indeks prestasi of semester, the number of repeated courses, courses taken and the shots certain subjects. Therefore factors - these factors can be used as an evaluation for the manager of the college.Keyword: Chi Square, C 4.5, prediction, students,datamining
Co-Authors Drifanda, Valdyan Dwi Prastiyo Hadi, Dwi Prastiyo Febrian, Muhammad Ilham Bintang Indriasar, Ika Indriasari, Ika Ira Setiawati, Ira Irham, Deris Mayasari, Asri Noorzeha, Fuad Fadjar Nugroho Dwi Saputro, Nugroho Dwi Pratama, Dani Slamet Sella, Elsa Putri Pramei Setiawan, David Firna Setiawan, David Firna Setyoningsih Wibowo Setyorini, Noni Shofif Sobaruddin Akbar Siti Helmyati Wahyuhastuti, Novika Widiastuti, C. Tri