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Pengaruh Pengaruh Kualitas Produk Dan Harga Terhadap Minat Beli Ulang Konsumen Smartphone Xiaomi Di Kota Bandung Anjellia, Raden Roro Dewita; Herawati, Siti
Jurnal Istiqro Vol. 10 No. 1 (2024): Januari 2024
Publisher : Universitas KH. MUkhtar Syafaat (UIMSYA) Blokagung Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30739/istiqro.v10i1.2825

Abstract

The purpose of this study is to analyze the effect of product quality and price on the repurchase interest of Xiaomi Smartphone consumers in Bandung City. In this study, the author used a quantitative approach. Determination of samples in the study using purposive sampling techniques which included nonprobability sampling involving 90 respondents. Primary data is obtained from questionnaires by sharing them online. This questionnaire has been tested for validity & reliability. The data have also passed the classical assumption test and meet the requirements for multiple regression tests to generate hypotheses. The results of this study state that product quality has a positive and significant effect on the repurchase interest of Xiaomi Smartphone consumers in Bandung City, price has a positive and significant effect on the repurchase interest of Xiaomi Smartphone consumers in Bandung City , product quality and price have a positive and significant effect simultaneously on the repurchase interest of Xiaomi Smartphone consumers in Bandung City .
Kampanye Kesadaran Lingkungan: Strategi Mengenalkan dan Menjual Produk Daur Ulang atau Jasa Pengelolaan Sampah di Kelurahan Melong Kecamatan Cimahi Septiarini, Eka; Ernawadi, Yadi; Herawati, Siti; Adialita, Tania; Nurtjahjadi, Edi; Sigarlaki, Faizal Fardhani; Nurmansyah, Abdul Ahmad Hafidh; Dhameria, Vita; Putra, Hariyadi Triwahyu; Ahmad, Lukni Burhanudin; Supriyadi, Cecep
Jurnal Abdimas Kartika Wijayakusuma Vol 6 No 4 (2025): Jurnal Abdimas Kartika Wijayakusuma
Publisher : LPPM Universitas Jenderal Achmad Yani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26874/jakw.v6i4.1065

Abstract

Kota Cimahi menghasilkan sampah sekitar 230 ton per hari, sementara kuota yang ditetapkan oleh TPA Sarimukti tidak lebih dari 100 ton per hari. Salah satu wilayah di Kota Cimahi yang turut berkontribusi memproduksi sampah adalah Kelurahan Melong Kecamatan Cimahi, tepatnya berada di RT 9, RT 10, dan RT 11. Masyarakat di lingkungan ini belum membiasakan membatasi timbulnya sampah, melakukan daur ulang sampah, dan/atau memanfaatkan kembali sampah sehingga memiliki nilai ekonomi. Oleh karena itu, tim pengabdian kepada masyarakat turut berpartisipasi membantu Pemerintah Kota Cimahi dalam program akselerasi mewujudkan masyarakat sejahtera di wilayah Melong melalui kampanye reduce, reuse, dan recycle (3R). Metode yang digunakan adalah pendekatan diseminasi berbasis edukasi singkat dalam durasi 2–3 jam. Secara keseluruhan, hasil kegiatan menunjukkan bahwa intervensi berupa edukasi dan pelatihan terbukti efektif dalam meningkatkan pengetahuan, kesadaran, dan motivasi masyarakat terkait pengelolaan sampah berbasis reduce, reuse, dan recycle (3R). Temuan ini mempertegas pentingnya strategi edukasi berbasis partisipasi dan motivasi kolektif dalam mewujudkan lingkungan yang bersih dan berkelanjutan.
Influence Of Product Quality On Repurchase Intention Mediated By Customer Satisfaction On Sunscreen Products In Cimahi City Syaputri, Delya Rubi; Herawati, Siti
BIMA Journal (Business, Management, & Accounting Journal) Vol. 6 No. 2 (2025)
Publisher : Perkumpulan Dosen Muda (PDM) Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37638/bima.6.2.1377-1386

Abstract

Purpose: This study aims to analyze the effect of product quality on repurchase intention with customer satisfaction as a mediating variable in the context of the highly competitive sunscreen market. Methodology: The research employs a quantitative approach with an explanatory design. Data were collected through structured questionnaires from 120 users of Nivea Sunscreen in Cimahi City selected using purposive sampling. The data were analyzed using simple and multiple linear regression, supported by the Sobel mediation test. Results: The results reveal that product quality significantly affects customer satisfaction (β = 0.428; p < 0.05) and repurchase intention (β = 0.269; p < 0.05), while customer satisfaction also significantly influences repurchase intention (β = 0.465; p < 0.05). The Sobel test confirms that customer satisfaction significantly mediates the relationship between product quality and repurchase intention (t = 4.95; p < 0.001). The results indicate that product quality has a significant positive effect on customer satisfaction and repurchase intention, while customer satisfaction also significantly influences repurchase intention. The Sobel test confirms that customer satisfaction significantly mediates the relationship between product quality and repurchase intention. Novelty: This study highlights the mediating role of customer satisfaction in explaining repurchase behavior within the sunscreen product category. Findings: Customer satisfaction strengthens the impact of product quality on repurchase intention, reinforcing the relevance of Expectancy-Disconfirmation Theory and the Theory of Planned Behavior. Originality: The originality of this study lies in its empirical evidence from a saturated cosmetic market, focusing on sunscreen products and mediation analysis. Conclusions: Enhancing product quality is essential to increasing customer satisfaction, which subsequently drives consumer loyalty and repeat purchases. Type of Paper: Empirical Quantitative Research Paper.
PENGARUH KUALITAS PRODUK DAN CITRA MEREK TERHADAP LOYALITAS PELANGGAN YANG DIMEDIASI OLEH KEPUASAN KONSUMEN PADA PRODUK SUSU ULTRA MILK DI KOTA BANDUNG Karina Sitohang, Franzeska; Herawati, Siti
Journal of Economic, Bussines and Accounting (COSTING) Vol. 8 No. 6 (2025): COSTING : Journal of Economic, Bussines and Accounting
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/nnzr4j07

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh kualitas produk dan citra merek terhadap loyalitas pelanggan yang dimediasi oleh kepuasan konsumen pada produk susu Ultra Milk di Kota Bandung. Metode penelitian yang digunakan adalah kuantitatif dengan pendekatan survei melalui penyebaran kuesioner kepada konsumen yang pernah mengonsumsi produk Ultra Milk. Hasil penelitian menunjukkan bahwa kualitas produk dan citra merek berpengaruh positif terhadap kepuasan konsumen. Kepuasan konsumen kemudian terbukti berperan sebagai mediator dalam membentuk loyalitas pelanggan. Temuan ini menegaskan pentingnya menjaga kualitas produk dan membangun citra merek yang kuat guna meningkatkan loyalitas konsumen secara berkelanjutan.
Efficient Paprika Leaf Disease Classification Using MobileNetV2-Based Deep Learning and Image Augmentation Herawati, Siti; Harist, Abdul; Angginta, Teguh Randi
Jurnal Teknologi Rekayasa Informasi dan Komputer Vol 9, No 1 (2026): JURNAL TRIK - POLITEKNIK NEGERI LHOKSEUMAWE
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jtrik.v9i1.8763

Abstract

The decline in productivity of paprika plants (Capsicum annuum) is often closely associated with leaf health disorders, particularly bacterial spot disease, which is difficult to identify at an early stage through conventional visual inspection. Early detection of this disease is crucial, as delayed diagnosis can lead to significant yield losses and reduced crop quality. However, manual monitoring relies heavily on expert knowledge and is prone to subjectivity and human error, especially in large-scale cultivation systems. To address this challenge, this study proposes a deep learning–based image classification approach for identifying diseases in paprika leaves by leveraging transfer learning with the MobileNetV2 architecture. MobileNetV2 was selected due to its lightweight structure and computational efficiency, making it suitable for practical and real-time agricultural applications. The dataset used in this research was obtained from the PlantVillage database and consists of two classes: healthy paprika leaves and leaves infected with bacterial spot disease.  To enhance the robustness and generalization capability of the proposed model, the training data were enriched using various data augmentation techniques, including rotation, flipping, scaling, and brightness adjustment. These techniques help mitigate overfitting and improve the model’s ability to recognize disease patterns under diverse imaging conditions. Experimental results demonstrate that the proposed model achieves stable and reliable classification performance, with an overall accuracy of 96%, accompanied by balanced precision and sensitivity values across both classes. These results indicate that MobileNetV2 is highly effective for paprika leaf disease classification. Furthermore, the findings suggest strong potential for implementing the proposed approach as an image-based plant disease detection system, supporting precision agriculture and enabling early intervention to improve crop productivity and sustainability.