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All Journal Medicinus : Jurnal Kedokteran International Journal Of Science, Technology & Management (IJSTM) Yayasan Cita Cendikiawan Al Khwarizmi Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah
Sharon
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Analysis of Service Quality at Beauty Salon in Surabaya Using the ServQual Method Tjandra, Suhatati; Suhartono, Andri; Kelvin; Sharon
International Journal of Science, Technology & Management Vol. 4 No. 1 (2023): January 2023
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v4i1.702

Abstract

This research was conducted to analyze and determine service quality and supporting attributes and to find gaps or discrepancies between consumer expectations and perceptions to improve service quality and provide solutions to existing problems. Analysis of service quality is carried out using the Servqual Method (Service Quality), a method used to measure service quality. This Servqual method measures how well a service provided by a company/service is expected to be received. This Servqual method includes 5 Gaps with five attribute dimensions: Tangibles, Responsiveness, Assurance, Reliability, and Empathy. The data needed to analyze is by distributing questionnaires to customers and management. The results of distributing questionnaires to 27 respondents and the results of the analysis show that there is a gap between consumer expectations and the perceptions received. The most significant gap is in Gap 5 with the PS2 attribute -1.073, with repair solutions ensuring consumers are comfortable by inviting them to choose a comfortable seat. Gap 1 is on the TS1 attribute -0.215, so a solution is provided to ensure the cleanliness of the salon equipment used. Gap 2 is on the PS3 attribute -0.67 and is given a solution namely, staff must rearrange management service standards and ensure staff responds well to customers. Gap 3 on AS4 attributes -0.73 with improvement solutions, namely rearranging good service standards so that the advertisements promoted are appropriate, gap 4 there are two attributes that are not managed to fulfill, namely TS5 and TS6 so that suggestions for improvements were given to install automatic air fresheners in every corner of the room and look for the best internet network provider and increase internet network speed.
Strategi Optimalisasi Penggunaan Sosial Media sebagai Upaya dalam Meningkatkan Jumlah Pengunjung di Desa Wisata Bakau Serip Anggraini, Ratih; Sharon; Aliandrina, Dessy; Setyawan, Agustinus; Sudhartio, Lily; Nainggolan, Ferdinand
Dedikasi Sains dan Teknologi (DST) Vol. 3 No. 2 (2023): Dedikasi Sains dan Teknologi : Volume 3 Nomor 2, Nopember 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/dst.v3i2.3255

Abstract

Perkembangan desa wisata dari waktu ke waktu memang mengalami peningkatan yang sangat signifikan. Perubahan minat wisata saat ini cenderung lebih mengarah pada wisata ekologis dibandingkan dengan wisata keramaian. Hal ini menjadi salah satu tantangan bagi sebuah Ekowisata untuk meningkatkan strategi pemasaran, terutama penggunaan sosial media agar para turis dapat mengenal desa wisata beserta produk yang ditawarkan. Tujuan kegiatan Pengabdian kepada Masyarakat ini salah satunya adalah untuk memberikan kontribusi kepada desa wisata Kampung Tua Bakau Serip dalam hal pengelolaan media sosial dan konten-konten yang dapat dijadikan contoh untuk pengelolaan selanjutnya. Kegiatan ini dilakukan selama efektif selama 3 bulan yang melibatkan dosen, mahasiswa, serta pengelola desa wisata Kampung Tua Bakau Serip. Hasil dari kegiatan ini adalah mahasiswa dan dosen melakukan pembuatan Instagram dan men-design konten-konten yang menarik sebagai salah satu langkah awal dalam pengembangan digitalisasi desa wisata. Dengan adanya hasil dari kegiatan PkM ini akan memberikan semangat kepada pengelola desa wisata agar memperbaiki kualitas dari desa wisata dan melanjutkan pengembangan konten untuk sosial media agar menarik minat wisatawan tidak hanya di dalam negeri, tetapi juga dari luar negeri.
Pengaruh Persepsi Otentik Pelanggan terhadap Loyalitas Merek pada Resort Kota Batam Robby Kurniawan; Sharon
Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah Vol. 6 No. 5 (2024): Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/alkharaj.v6i5.1335

Abstract

The purpose of this research is to identify whether there is an impact of authentic perceptions on brand loyalty at resorts in Batam City. The research population is tourists or residents who have stayed at hotels in Batam. The population formed in the findings of this research is all the people of Batam City who have visited resorts in Batam City. Non Probability sampling is a technique used in sampling. The research results interpret that brand awareness is positively influenced by customers' authentic perceptions. The research results also interpret that brand loyalty is positively influenced by perceived quality. The research results also interpret that brand loyalty is positively influenced by brand awareness
Applications of Artificial Intelligence in Peripheral Neuropathy: A Systematic Review Sutha, Anak Agung Ngurah Agung Bayu; Sharon; Rahman, Dea Nabila; Amanah, Salma Rizqi; Wicaksono, Teguh Budi; Sofiana, Dina; Hermawan, Galih Muchlis
Medicinus Vol. 13 No. 1 (2023): October
Publisher : Fakultas Kedokteran Universitas Pelita Harapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19166/med.v13i1.10778

Abstract

Background: Peripheral neuropathy (PN) is a common complication of metabolic and systemic diseases, particularly diabetes mellitus, resulting in sensory loss, pain, and motor impairment. Conventional diagnostic tools often detect PN only after irreversible nerve injury. Artificial intelligence (AI), especially machine learning (ML), has emerged as a promising tool for early diagnosis and risk prediction by integrating clinical, imaging, and genetic data. Methods: Following PRISMA 2020 guidelines, PubMed, EMBASE, IEEE Xplore, and Scopus were systematically searched up to September 2025. Studies applying ML or deep learning algorithms to PN were included, while reviews, grey literature, and studies lacking methodological details or performance metrics were excluded. Result: Our study included participants with diabetic, chemotherapy-induced, or pain-related neuropathies. Deep learning models, such as multilayer perceptrons and neural networks, achieved diagnostic accuracies of 87–93%, while classical algorithms including random forest, XGBoost, and SVM reported AUCs of 0.80–0.93. Radiomics-based SVMs using ultrasound showed external validation AUCs of 0.70–0.90. Key predictors included HbA1c, diabetes duration, lipid profile, and BMI. Conclusions: Machine learning demonstrates strong potential for improving the prediction, diagnosis, and phenotypic classification of PN. However, heterogeneity in datasets and limited external validation restrict clinical translation. Future work should focus on standardized data, multicenter validation, and interpretable AI models to facilitate integration into clinical practice.
Co-Authors Aliandrina, Dessy Amanah, Salma Rizqi Andri Suhartono Hermawan, Galih Muchlis Kelvin Nainggolan, Ferdinand Rahman, Dea Nabila Ratih Anggraini, Ratih Robby Kurniawan Sari Wahyuni, Lily Sudhartio, Setyawan, Agustinus Sofiana, Dina Suhatati Tjandra Sutha, Anak Agung Ngurah Agung Bayu Teguh Budi Wicaksono