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All Journal Jurnal Teknik Mesin Jurnal Akuntansi Muhammadiyah Jurnal Ilmu Sosial dan Humaniora Jurnal Akuntansi Profesi JAM : Jurnal Aplikasi Manajemen EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Journal of Research and Technology Jurnal Dimensi Pendidikan dan Pembelajaran JKTP: Jurnal Kajian Teknologi Pendidikan SENTRALISASI Jurnal Penamas Adi Buana International Journal of Social Science and Business Aptisi Transactions on Management Aptisi Transactions on Technopreneurship (ATT) JIA (Jurnal Ilmiah Akuntansi) Systemic: Information System and Informatics Journal Jurnal Teknologi Terpadu The International Journal of Business Review (The Jobs Review) JPEK (Jurnal Pendidikan Ekonomi dan Kewirausahaan) Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Sains Manajemen dan Bisnis Indonesia Jurnal Mnemonic JATI (Jurnal Mahasiswa Teknik Informatika) BUDGETING : Journal of Business, Management and Accounting Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences SKANIKA: Sistem Komputer dan Teknik Informatika ADI Pengabdian kepada Masyarakat Jurnal (ADIMAS Jurnal) KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Ekonomi Jurnal Sistem Informasi Universitas Dinamika Jurnal Kesehatan dan Olahraga Pharmacy Reports Jurnal Informatika Teknologi dan Sains (Jinteks) Procedia of Social Sciences and Humanities Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal MENTARI: Manajemen, Pendidikan dan Teknologi Informasi Jurnal Indonesia Sosial Teknologi Jurnal E-bussiness Institut Teknologi dan Bisnis Muhammadiyah Polewali Mandar Journal Of Humanities Community Empowerment Nomico Blockchain Frontier Technology (BFRONT) The Indonesian Journal of Computer Science Akademika Jurnal Teknologi Pendidikan Jurnal Penelitian IPTEKS Proceeding of International Conference on Social Science and Humanity
DWI CAHYONO
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EXPLORATION OF FACTORS INFLUENCING PATIENT DECISIONS IN CHOOSING A BEAUTY CLINIC: A GROUNDED THEORY APPROACH Uliyah, Dian Alfiyatul; Dwi Cahyono; Haris Hermawan
Proceeding of International Conference on Social Science and Humanity Vol. 2 No. 1 (2025): Proceeding of International Conference on Social Science and Humanity
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/icossh.v2i1.191

Abstract

Objective: This study aims to explore the factors that influence patient decisions in choosing a beauty clinic. Method: The method used in this study was an in-depth interview with ten informants who were active patients of Dr. Dian’s Beauty Clinic in Jember. The data obtained were analyzed using the Grounded Theory approach. Results: The results showed that patient decisions were influenced by various factors, including clinic reputation, service quality, and previous experience. In addition, psychological aspects such as increased self-confidence and social recognition also play an important role in patient motivation to choose beauty services. Novelty: This study provides new insights into the complexity of consumer decision making in the context of modern aesthetic services, and emphasizes the importance of integration between service quality and marketing strategies that are responsive to patient needs. These findings are expected to provide practical contributions for beauty clinic managers in increasing competitiveness and customer loyalty.
RELATIONSHIP BETWEEN COMPENSATION, MOTIVATION AND WORK DISCIPLINE TOWARDS EMPLOYEE PERFORMANCE AT RSD DR. SOEBANDI JEMBER DISTRICT Tua S, Marolop Bungaran; Dwi Cahyono; Diah Probowulan
Proceeding of International Conference on Social Science and Humanity Vol. 2 No. 1 (2025): Proceeding of International Conference on Social Science and Humanity
Publisher : PT ANTIS INTERNATIONAL PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61796/icossh.v2i1.201

Abstract

Objective: This research was conducted at dr Soebandi Regional Hospital. This study consists of two variables, namely the independent variable (free), which consists of compensation (X1), work discipline (X2), and work motivation (X3), while the dependent variable (bound) is Employee Performance (y). This study aims to determine whether there is a significant influence between compensation, work discipline, and work motivation on employee performance with a sample of 162 respondents. Method: The data collection methods used in this study include interviews, observations, questionnaires, and literature studies. The data analysis technique in this study employs multiple linear analysis with data processing using Statistical Product and Service Solutions (SPSS) software 20. The data analysis methods include validity test, reliability test, multicollinearity test, heteroscedasticity test, partial t-test, F-test (simultaneous test), and coefficient of determination (R2). Results: The results of this study indicate that the variables of compensation, work discipline, and work motivation have a simultaneous influence on employee performance. Partially, the compensation and work motivation variables show an influence. Based on the results of the analysis of the coefficient of determination, the R-square value is 0.810 or 81%. Novelty: This study provides empirical evidence of the influence of compensation and work motivation on employee performance in a hospital setting, emphasizing the importance of these factors in workforce management.
Impact Of Marketing Mix And Service Quality On Patient Satisfaction Through Patient Loyalty Situmorang, Marolop Bungaran Tua; Cahyono, Dwi; Probowulan, Diyah
EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Vol 13 No 4 (2025): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/ekombis.v13i4.8479

Abstract

This study investigates the effects of the marketing mix and service quality on patient satisfaction and loyalty at RSUD dr. Soebandi, a government run hospital in Kabupaten Jember. Utilizing a quantitative research design, the study involved a sample of 200 inpatient patients, selected through stratified random sampling to ensure representation across different care classes. Data were collected via surveys measuring perceptions of marketing mix elements (product, price, place, promotion, people, process, and physical evidence) and service quality (reliability, responsiveness, assurance, empathy, and tangibles). The findings reveal that both the marketing mix and service quality have a significant positive impact on patient satisfaction and loyalty, with patient loyalty acting as a mediator between these variables and satisfaction. The study highlights the importance of improving service quality and strategically applying the marketing mix to foster long-term patient loyalty, providing valuable insights for hospital management in a competitive healthcare environment.
Analysis Of The Effect Of Customer Retention Strategy And Differentiation Strategy On Customer Lifetime Value And Customer Loyalty In SME Food In Jember Regency Juariyah, Siti; Santoso, Budi; Hermawan, Haris; Cahyono, Dwi
EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Vol 13 No 4 (2025): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/ekombis.v13i4.8568

Abstract

This study aims to analyze the effect of customer retention strategies and differentiation strategies on Customer Lifetime Value (CLV) and customer loyalty in small and medium enterprises (SMEs) in the food sector in Jember Regency. The research approach used is a quantitative approach with a survey method of 100 customers of Ayam Gephok Pak Giek as the object of research. Data collection was carried out through a closed questionnaire, and data analysis was carried out using the Partial Least Square (PLS) method with the help of SmartPLS software. The results showed that customer retention strategy and differentiation strategy have a positive and significant effect on customer loyalty and CLV. The findings indicate that effective customer relationship management, through the provision of memorable customer experiences and unique product offerings, is critical in increasing long-term customer loyalty and value. The practical implications of this study suggest that culinary SMEs strengthen service strategies, product innovation, and loyalty programs to retain customers and increase competitiveness in a competitive market.
Sentiment Analysis on the FIFA U-20 World Cup in Argentina Using Support Vector Machine Warsito Sujatmiko, Achmad; Vitianingsih, Anik Vega; Kacung, Slamet; Cahyono, Dwi; Lidya Maukar, Anastasia
The Indonesian Journal of Computer Science Vol. 13 No. 3 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i3.3973

Abstract

The decision made by FIFA regarding the selection of the soundtrack and the host country for the FIFA U-20 World Cup has sparked emotional reactions among the public and raised concerns about the event, especially on social media platform X. This is due to FIFA’s decision to choose a soundtrack not from the host country, Argentina, but from the previous host, Indonesia. FIFA should advocate for the creation of a soundtrack by the host country to reflect its distinctive characteristics or atmosphere. Concerns about the U-20 World Cup in Argentina have also been fueled by the country’s economic crisis, which is feared to affect the facilities and infrastructure for the young players representing their nations. This research focuses on filtering public responses to FIFA’s decisions regarding the soundtrack selection and the host country for the U-20 World Cup into positive, neutral, and negative categories using the Support Vector Machine (SVM) method. The research aims to provide policy recommendations regarding the host selection process and cultural representation in international sports events. Additionally, this study is expected to provide a deeper understanding of the preferences and values held by the public regarding international sports. The research steps include data collection, pre-processing, labeling, weighting, and classification using a Support Vector Machine. The data for this research were obtained through crawling on social media platform X, totaling 2400 data points. The performance evaluation of the SVM algorithm using a 50:50 ratio of training and testing data yielded an average accuracy of 85.71%, Precision of 85.98%, Recall of 85.71%, and F1-score of 85.58%.
Comparative Analysis of Naïve Bayes and K-NN Methods on Social Media Boycott Issue X Case Study: McDonald’s Azzahra, Morra Fatya Gisna Nourielda; Vitianingsih, Anik Vega; Cahyono, Dwi; Maukar, Anastasia Lidya; Badri, Fawaidul
The Indonesian Journal of Computer Science Vol. 14 No. 5 (2025): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i5.4956

Abstract

The boycott movement against McDonald’s, triggered by its alleged support for Israel during the conflict in Gaza, has generated significant public discourse, particularly on the social media platform X (formerly Twitter). This study investigates public sentiment regarding the boycott campaign by analyzing comments and reactions to related content. A total of 1,585 tweets were collected using techniques for web scraping and underwent a comprehensive pre-processing phase, encompassing cleaning, tokenization, filtering, and stemming. Sentiment categories, namely positive, neutral, and negative, are automatically assigned using a lexicon-based technique customized for the Indonesian language. Text data was transformed into numerical form through the Term Frequency-Inverse Document Frequency (TF-IDF) technique, followed by sentiment classification using two supervised machine learning algorithms: Naïve Bayes and K-Nearest Neighbor (K-NN). Evaluation of both models was conducted using a confusion matrix and classification metrics. The results show that the dataset is highly imbalanced, with 93.5% of the tweets labelled as negative, 6.1% as neutral, and only 0.3% as positive. The K-NN model achieved better performance than Naïve Bayes (NB), with an accuracy of 93%, a precision of 31%, a recall of 33%, and an F1-score of 32%. On the other hand, the Naïve Bayes algorithm reached 39% accuracy, 33% precision, 29% recall, and an F1-score of 22%. These findings highlight the dominance of negative sentiment toward McDonald’s and demonstrate the efficacy of the K-NN algorithm in sentiment classification in unbalanced datasets. The insights from this study can inform public relations strategies and corporate reputation management in the face of socio-political controversies.
Co-Authors A.A. Ketut Agung Cahyawan W Abadi Sanosra Achmad Choiron Achmad Choiron Ade Susianti, Febrina Alwiyah Alwiyah Amarya, Grace Ezranda Anastasia Lidya Maukar Andhina Ika Sunardi ANGGI FIRMANSYAH Anggit Wikanningrum Anik Vega Vitianingsih Anik Vega Vitianingsih Anugrah Prasetyo, Rizky Ardi, Syaiful Ardiansyah, Alvian Dwi Arief Rahman Hakim Arif Budianto Arthur Simanjuntak Aspirandi, Rendy Mirwan Astutik, Rika Aswadi Jaya, Aswadi Ayun Maduwinarti Ayuningtyas Palupi, Risqi Ekanti Azzahra, Morra Fatya Gisna Nourielda Bungsu, Agung Pangeran Chrissanti, Agnes Maria Cilvi Chua Toh Hua Citra Dwi Ristantri Cristino Gusmao Damanik, Alaris Darasito Dananjaya, Gabriel Diah Probowulan Dian Kusuma Wardani Dinarso, Rahmat Cahyo Dwi Budi Santoso Dwi Prasetyo, Septian Dwi Ristantri, Citra Dwi Riyono, Ady Fajar Eko Budi Santoso Eko Budi Satoto Evi Lestari Evi, Evi Lestari Fahrudin, Rifqi Fatmawati, Indra Fauzan, Rizky Fawaidul Badri Fiel Afroh, Ibna Kamelia Firda, Alverina Firdaus, M. Syahri Fitrianingsih, Evi Gilang Cahyono Guntoro, Widy Guntur, Yohanes Sri Gusmao, Cristino Haris Hermawan Haris Hermawan, Haris Herlambang, Toni I.G.N. Andhika Mahendra Ibnu Hanafi Ida Ayu Putu Sri Widnyani Indrawati, Linda Intan Sari, Rosi Avinda Ismawan, Puji Jabbar, Malik Abdul Julianto Lemantara Juliardin, Muhammad Alief Kamil, Ibrahim Khairunnisa, Firstia Nurlaili Khamil, Abdul Khaulia, Ayu Tinis Khifdi, M. Yurisul Kusumaningrum Kusumaningrum Lambang Probo Sumirat, Lambang Probo Lambang Trijono Lidya Maukar, Anastasia Litafira Syahadiyanti Maharani, Astrid Maharani, Astrid Mahardika, Husein Satria Maisura Maisura Mardiansyah, Edi Maria, Lily Marmora, Auryfierou Marva Martiana, Nina Maryam Z, Amalina Ma’rifah , Ma’rifah Yuliani Mochamad Hariadi Mohamad Agus Salim Muhammad Thamrin Mursyidah4, Mursyidah Muzakir, Fohan N, Gardina Aulin Nafsiyah, Wardatun Nugraheni Sri Lestari, Veronika Nuraeni, Intan Sarifa Nurmawati Nurmawati Nursaid Nurul Qomariah Nuryadi Nuryadi Pamungkas Putra Bagyana, Caesare Paramitha, Octavia Pradana, Dwifa Yuda Pradani, Dea Yulinestria Prakoso, Dadang Pramono, Didik Eko Pratama, Andika Setia Probowulan, Diyah Putri, Indri Mariska Rachmania, Nindita Rachmaniyah, Aulia Rahmawati, Maulidia Riyadi, Anton RR. Ella Evrita Hestiandari S, Riang Agustin Sa'adah , Nur Saat Riyanto Samsul Hadi Sanorsa, Abadi Santi Wulandari, Dwi Sari , Mena Sari, Denia Ratna Savitri, Nikke Indah Sinclair, Amelia Siti Juariyah Situmorang, Marolop Bungaran Tua Slamet Kacung, Slamet Slamet Riyadi, Slamet Riyadi Soetjahyo, Soetjahyo Sofianto, Rendra Hadi Suhada Suhada, Suhada Sulistiowati Sulistiowati Susanto, Dimas Dwi Susbiyani, Arik Susilo, Irvansyah Nuradi Suyanto Syahrani Arasid, Nova Teguh Santosa Tiara Shanty, Ratna Nur Toni, Ignasius Tua S, Marolop Bungaran Uliyah, Dian Alfiyatul Umam, Azizul Warsito Sujatmiko, Achmad Wasi’ah, Ainin Lufaful Wati, Seftin Fitri Ana Wati, Wiwin Sri Niscahya Widiantoro, Edwin Wikaningrum, Anggit Wulandari, Erike Yoyon Arie Budi Suprio Yudi Kristyawan, Yudi Zahrotul Janah Zaidan Rafli Zikrullah , Zikrullah Zubaidi, Nabila