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DWI CAHYONO
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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.
Pelatihan Digital Marketing dengan Aplikasi Tiktok Shop untuk Pelaku UMKM Desa Gintungan Nur Annisa, Nenden; Rafly Eka Saputra, Muhammad; Cahyono, Dwi; Sari Indrayati, Fatma; Alif Putra Gunawan, Maulana; Putra Widhi Wardhana, Erwindhu; Dicha Kusuma Priambudi, Prisca; Ari Wulanjati, Herlina; Syahrul, Maulia; Ahmad, Haidar
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 5 No. 1 (2024): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN)
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v5i1.2897

Abstract

Pengenalan Teknologi Digital Dalam Membangun Perekonomian Desa Menggunakan TIKTOK Shop dilaksanakan di Desa Gintungan, Kecamatan Gebang, Kabupaten Purworejo pada tanggal 27 Januari 2024. Kegiatan ini diikuti oleh 25 orang peserta, yang terdiri dari bapak ibu UMKM Desa Gintungan. Kegiatan ini bertujuan untuk meningkatkan pengetahuan dan keterampilan peserta dalam memanfaatkan teknologi digital, khususnya TikTok Shop, untuk membangun perekonomian desa. Kegiatan ini dilaksanakan dengan metode sosialisasi dan penyuluhan. Pada sesi sosialisasi, peserta diberikan materi tentang pengertian, manfaat, dan potensi teknologi digital, serta cara menggunakan TikTok Shop untuk berjualan. Pada sesi penyuluhan, peserta diberikan praktik langsung dalam membuat akun TikTok Shop, mengupload produk, dan membuat konten promosi. Hasil kegiatan menunjukkan bahwa peserta memiliki pemahaman yang baik tentang teknologi digital, khususnya TikTok Shop. Peserta juga mampu membuat akun TikTok Shop dan mengupload produk mereka. Namun, peserta masih perlu meningkatkan keterampilan dalam membuat konten promosi yang menarik. Kesimpulannya, kegiatan Pengenalan Teknologi Digital Dalam Membangun Perekonomian Desa Menggunakan TIKTOK Shop ini berhasil meningkatkan pengetahuan dan keterampilan peserta dalam memanfaatkan teknologi digital, khususnya TikTok Shop. Kegiatan ini diharapkan dapat mendorong peserta untuk memanfaatkan TikTok Shop untuk mengembangkan usaha mereka, sehingga dapat meningkatkan perekonomian desa.
Analisis Faktor-Faktor yang Mempengaruhi Desain Antena Mikrostrip untuk Radar Altimeter dalam Ilmu Teknik Penerbangan: Bentuk Patch, Bahan Substrat dan Teknik Pembentukan Antena Nirmala Kartikasari, Yudita; Abdullah, Anton; Eska Nugraha, Minulya; Cahyono, Dwi; Bagus Harianto, Bambang
Journal of Engineering and Transportation Vol. 1 No. 4 (2024): Journal of Engineering and Transportation
Publisher : Cipta Kind Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Radar altimeter adalah perangkat di pesawat yang digunakan untuk mengukur ketinggian atau jarak vertikal dari fuselage ke permukaan bumi atau permukaan air laut. Secara khusus, frekuensi yang digunakan oleh radar altimeter di pesawat terletak pada rentang 4.2 hingga 4.4 GHz. Antena sendiri memiliki pengertian elemen komunikasi yang dapat mengubah besaran listrik dari saluran transmisi menjadi suatu gelombang elektromagnetik. Guna memaksimalkan kinerja radar altimeter, dibutuhkan antena yang mampu menghasilkan pola radiasi unidirectional dengan gain yang tinggi serta bandwidth yang lebar. Antena mikrostrip banyak digunakan dikarenakan memiliki massa yang ringan, proses fabrikasi relatif sederhana menggunakan teknik pencetakan dan pembuatan PCB dengan biaya yang lebih murah, namun antena mikrostrip juga memiliki beberapa kekurangan bandwidth yang kecil dan gain yang rendah sehingga diperlukan beberapa teknik untuk mengatasi hal tersebut. Artikel ini mereview faktor-faktor yang memengaruhi Desain Antena Mikrostrip untuk Radar Altimeter dalam Ilmu Teknik Penerbangan, yaitu Bentuk Patch, Bahan substrat dan Teknik Pembentukan Antena, suatu studi literatur akuntansi perpajakan. Tujuan penulisan artikel ini guna membangun hipotesis pengaruh antar variabel untuk digunakan pada riset selanjutnya. Hasil artikel literature review ini adalah: 1) Bentuk Patch berpengaruh terhadap Desain Antena Mikrostrip untuk Radar Altimeter dalam Ilmu Teknik Penerbangan; 2) Bahan Substrat berpengaruh terhadap Desain Antena Mikrostrip untuk Radar Altimeter dalam Ilmu Teknik Penerbangan; dan 3) Teknik Pembentukan Antena berpengaruh terhadap Desain Antena Mikrostrip untuk Radar Altimeter dalam Ilmu Teknik Penerbangan.
PELATIHAN SAFETY MANAGEMENT SYSTEM BAGI PEGAWAI UNIT PENYELENGGARA BANDAR UDARA Mas, Ayu; Cahyono, Dwi; Amalia, Direstu
Jurnal Abdimas Musi Charitas Vol. 4 No. 2 (2020): Jurnal Abdimas Musi Charitas Vol. 4, No. 2, Desember 2020
Publisher : Universitas katolik Musi Charitas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (146.734 KB)

Abstract

The Airport Management Unit (UPBU) as one of the flight service providers whose obliged tomake, implement, evaluate and improve continuously the Safety Management System (SMS). TheUPBU must be supported by competent personnel of SMS. In order to meet the needs of personnelin SMS, Palembang Aviation Polytechnic collaborates with the Secretariat General of AirTransportation, organized community service activities through SMS training which was heldonline. This activity is aimed at participants are able to explain the concepts of SMS and applythem in their respective work according to national and international standards. This activity wasattended by 19 UPBU employees from all regions of Indonesia and 1 person from the PalembangAviation Polytechnic. The results obtained indicate that training was run effectively from thequestionnaire evaluation of participants. There is an allocation of examination time and internetconnectivity need to be improved from this activity and internet connectivity is one of the importantfactors that support the smooth running of online learning activities.
LAYANAN CHATBOT PADA BAKTI KOMINFO WILAYAH KERJA IV SURABAYA Rizaldi, Choireza; Cahyono, Dwi
Multidisciplinary Indonesian Center Journal (MICJO) Vol. 1 No. 4 (2024): Vol. 1 No. 4 Edisi Oktober 2024
Publisher : PT. Jurnal Center Indonesia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62567/micjo.v1i4.295

Abstract

System chatbot at the Kominfo service agency that will help process sentences based on keywords or phrases to get the desired information to facilitate service. The customer service agent system is divided into 3 parts, namely responder, classifier, and graphmaster. Responder is the part that connects the bot with the user. The task of the responder is to transfer data from the user to the classifier and control the input and output. The classifier is the part that filters and normalizes the input and performs segmentation of the sentences that have been inputted. Graphmaster is the part that matches the input pattern to the facts that have been created.
KECERDASAN EMOSIONAL SEBAGAI MEDIASI PENGARUH DUKUNGAN SOSIAL DAN PELATIHAN TERHADAP PRESTASI ATLET JEMBER MARCHING BAND (JMB) Chrissanti, Agnes Maria Cilvi; Cahyono, Dwi; Sanosra, Abadi
Jurnal Kesehatan dan Olahraga Vol. 8 No. 2 (2024): September 2024
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/ko.v8i2.59583

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh dukungan sosial dan pelatihan terhadap prestasi atlet Jember Marching Band dengan kecerdasan emosional sebagai variabel mediasi. Latar belakang penelitian ini adalah pentingnya dukungan sosial dan pelatihan dalam pembinaan atlet, serta peran kecerdasan emosional dalam mencapai prestasi optimal. Metode yang digunakan adalah pendekatan deskriptif kuantitatif dan asosiatif, dengan teknik analisis data menggunakan Partial Least Square (PLS) melalui aplikasi WarpPLS 7.0. Sampel penelitian ini adalah 122 atlet Jember Marching Band. Hasil penelitian menunjukkan bahwa dukungan sosial dan pelatihan berpengaruh positif dan signifikan terhadap prestasi atlet, dengan kecerdasan emosional sebagai variabel mediasi yang signifikan. Kesimpulan dari penelitian ini adalah pentingnya peran pelatih dalam mengembangkan kecerdasan emosional atlet, serta perlunya dukungan sosial yang kuat dari keluarga, rekan tim, dan lingkungan latihan untuk meningkatkan prestasi atlet secara keseluruhan.Kata kunci: Dukungan Sosial, Pelatihan, Kecerdasan Emosional, Prestasi Atlet, Jember Marching Band
Co-Authors A.A. Ketut Agung Cahyawan W Abadi Sanosra Abdullah, Anton Achmad Choiron Achmad Choiron Ade Susianti, Febrina Adityara, Wisnu Afriyani, Suci Ryski Nur Ahmad, Haidar Alif Putra Gunawan, Maulana Alwiyah Alwiyah Amalia, Direstu Amarya, Grace Ezranda Anafih, Erwinda Sam Anastasia Lidya Maukar Anda Lusia, Anda Andhina Ika Sunardi ANGGI FIRMANSYAH Anggit Wikanningrum Anggita, Dito Anik Vega Vitianingsih Anik Vega Vitianingsih Apriani Sijabat Ari Wulanjati, Herlina Arief Rahman Hakim Arif Budianto Arthur Simanjuntak Aspirandi, Mirwan Aspirandi, Rendy Mirwan Astutik, Rika Aswadi Jaya, Aswadi Ayun Maduwinarti Ayun Maduwinarti Ayuningtyas Palup, Risqi Ekanti Ayuningtyas Palupi, Risqi Ekanti Azzahra, Morra Fatya Gisna Nourielda Bakti, Surya Bambang Bagus Harianto Brown, Christina Budi Santoso Bungsu, Agung Pangeran Chrissanti, Agnes Maria Cilvi Chua Toh Hua Citra Dwi Ristantri Cristino Gusmao Damanik, Alaris Darasito Dananjaya, Gabriel Deliana, Dian Diah Probowulan Dian Kusuma Wardani Dianitami, Fitri Dicha Kusuma Priambudi, Prisca Dinarso, Rahmat Cahyo Dwi Prasetyo, Septian Dwi Ristantri, Citra Dwi Riyono, Ady Fajar Dyah Rohma Wati Eko Budi Santoso Eko Budi Satoto Erika Erika Erinaldi Evi Lestari Evi, Evi Lestari Fahrudin, Rifqi Fatika Nur Rokhimah Fatmawati, Indra Fatmawati, Suci Nur Fawaidul Badri Fiel Afroh, Ibna Kamelia Firda, Alverina Firdaus, M. Syahri Fitri Ana Wati, Seftin Fitrianingsih, Evi Guntoro, Widy Guntur, Yohanes Sri Gusmao, Cristino Hanik, Asmah Hanung Eka Atmaja Hari Safariningsih, Ratna Tri 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 Jabbar, Malik Abdul Jaka, Rindra John Edwards Julianingsih, Dwi Julianto Lemantara Juliardin, Muhammad Alief Kacung Hariyono Kamal Arif Al-Farouqi Kamil, Ibrahim Khairunnisa, Firstia Nurlaili Khamil, Abdul Khaulia, Ayu Tinis Khifdi, M. Yurisul Kusdarwanto, Heru Kusumaningrum Kusumaningrum Lailatul Qodriyah, Emilyati Lambang Trijono Lidya Maukar, Anastasia Litafira Syahadiyanti Lorenzo, Agung Maharani, Astrid Maharani, Astrid Mahardika, Husein Satria Mahendra, I.G.N. Andhika Maisura Maisura Mardiansyah, Edi Maria, Lily Martiana, Nina Maryam Z, Amalina Mas, Ayu Masito, Fitri Maulidya Reva Aprianti Ma’rifah , Ma’rifah Yuliani Meilany, Latifah Hanum Minulya Eska Nugraha Mochamad Hariadi Mochammad Irfan Efendi Mohamad Agus Salim Muhammad Thamrin Mursyidah4, Mursyidah Muzakir, Fohan N, Gardina Aulin Nafsiyah, Wardatun Nirmala Kartikasari, Yudita Norawati, Suarni Nur Annisa, Nenden Nur Said Nuraeni, Intan Sarifa Nursaid Nurul Qomariah Nuryadi Nuryadi Ongko, Bagus Kustiono Pamungkas Putra Bagyana, Caesare PANJAITAN, MUKTAR B Paramitha, Octavia parjan, parjan Pradana, Dwifa Yuda Pradani, Dea Yulinestria Prakoso, Dadang Pramono, Didik Eko Probowulan, Diyah Purbosaputro, Erwin Putra Widhi Wardhana, Erwindhu Putra, Adimas Putri, Indri Mariska Rachmania, Nindita Rachmaniyah, Aulia Rafly Eka Saputra, Muhammad Rahmawati, Maulidia Ramadhani, Iwan Ramadhani, Syifa Rangi, Noah Ratna Nur Tiara Shanty Reza Ega Resnanda Ristumanda, Siti Salbiah Riyadi, Anton Rizaldi, Choireza RR. Ella Evrita Hestiandari Rusgianto S, Riang Agustin Sa'adah , Nur Saat Riyanto Salsabilah, Azka Samsul Hadi Sanorsa, Abadi Santi Wulandari, Dwi Sari , Mena Sari Indrayati, Fatma Sari, Denia Ratna Sari, Risa Riana Puspita Savitri, Nikke Indah Setiawan, Riski Bayu Siahaan, Sarah Agustin Sinclair, Amelia Siti Juariyah Situmorang, Marolop Bungaran Tua Slamet Riyadi, Slamet Riyadi Soetjahyo, Soetjahyo Sofianto, Rendra Hadi Suhada Suhada, Suhada Sujatmiko Sujatmiko Sukahir, Sukahir Sulistiowati Sulistiowati Susbiyani, Arik Suyamto Suyamto Suyanto Syahrani Arasid, Nova Syahrul, Maulia Syamilah, Aliyatus Teguh Santosa Tengku Muhammad Ramdani Terra Saptina Maulani Tiara Shanty, Ratna Nur 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 Wulandari, Retno S. Yansa Sendi Fadillah Yeti Komalasari Zahrotul Janah Zainarthur, Henry Zangana, Hewa Majeed Zarkasi , Imam Zikrullah , Zikrullah Zubaidi, Nabila