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Kelvin Kelvin
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Buddhist Community Empowerment in Health Kelvin, Kelvin; Surjano, Irvan; Kabri, Kabri
Winter Journal: IMWI Student Research Journal Vol. 5 No. 1 (2024): Winter Journal: IMWI Student Research Journal
Publisher : Institut Manajemen Wiyata Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52851/wt.v5i1.56

Abstract

Empowering Buddhist communities in the health sector includes a series of concepts, views, and practices that integrate Buddhist religious values with health aspects. The concept of health empowerment, as the main foundation, provides a philosophical basis for efforts to improve the welfare of Buddhist communities. Furthermore, the Buddhist concept of health introduces a holistic view that includes physical, mental, and spiritual aspects as interrelated elements in achieving optimal health. The Buddhist approach to health emphasizes the principles of morality, awareness, and wisdom in maintaining a balanced life. Health science according to Buddhism provides an in-depth knowledge base regarding the relationship between mind and body, as well as ways to maintain overall health. Empowering herbal plants for health is one of the real implementations through exploring the potential of plants as a source of natural medicine. Mental health aspects from a Buddhist perspective are the main focus of community empowerment efforts. By adopting meditation practices and understanding the concept of dukkha (dissatisfaction), Buddhist communities can manage stress and improve their mental well-being. Apart from that, the development of health sciences also raises ethical controversies that need to be accommodated through a Buddhist perspective, integrating advances in science with the moral values believed in by the Buddhist community. Strengthening public health from a Buddhist perspective encourages active community participation in maintaining and improving collective health. By understanding and applying Buddhist teachings, people can form a proactive mindset towards health, build solidarity, and realize shared prosperity. Empowering the Buddhist community in the health sector is a vehicle for implementing religious values in improving the overall quality of life.
The Influence Of Product Quality, Price, And Brand Image On Consumer Loyalty Mediated By Consumer Satisfaction (Empirical Study: Consumers Of Kacang Kulit Dua Kelinci In Jakarta) Kelvin, Kelvin; Sugiyanto, Liem Bambang
Journal Research of Social Science, Economics, and Management Vol. 3 No. 3 (2023): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v3i3.561

Abstract

This research aims to determine how product quality, price, and brand image influence consumer loyalty in consuming Kacang kulit Dua Kelinci, mediated by Consumer Satisfaction. This research uses a quantitative approach. The survey was conducted on 180 respondents who had consumed the Kacang kulit Dua Kelinci in the province of DKI Jakarta. Data analysis was performed using the Structural Equation Model (SEM) AMOS. The research results show that the price of Kacang kulit Dua Kelinci has a strong relationship and a significant influence on consumer loyalty in consuming Kacang kulit Dua Kelinci in DKI Jakarta province. Different from product quality and brand image, which do not have a strong relationship and significant influence on consumer loyalty in consuming Kacang kulit Dua Kelinci. However, product quality, price, and brand image significantly influence consumer loyalty when mediated by consumer satisfaction. The research results also show that, in total, price is the most significant contributor to consumer loyalty, followed by product quality as the second largest contributor, then brand image as the most minor contributor. This conclusion shows that the Kacang kulit Dua Kelinci industry can maximally increase consumer loyalty by increasing consumer satisfaction so that consumers become loyal to continue consuming Kacang kulit Dua Kelinci. The limitation of the research is that the respondents collected only live in DKI Jakarta and focused on one product from the Dua Kelinci brand, Peanut Shell.
Peran Dosen Pembimbing Akademik dalam Meningkatkan Motivasi Belajar Mahasiswa Program Studi Pendidikan Keagamaan Buddha Kelvin, Kelvin; Nyanasuryanadi, Partono
Jurnal Pendidikan Indonesia Vol. 4 No. 11 (2023): Jurnal Pendidikan Indonesia (Japendi)
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/japendi.v4i11.2413

Abstract

Pendidikan tinggi memainkan peran krusial dalam pembentukan perkembangan dan kelangsungan hidup manusia, tetapi mahasiswa dihadapkan pada tantangan tugas, kesulitan, dan kewajiban yang dapat mempengaruhi motivasi dan minat belajar mereka. Penelitian ini mengevaluasi peran Dosen Pembimbing Akademik (DPA) dalam meningkatkan motivasi dan minat belajar mahasiswa Pendidikan Keagamaan Buddha. Studi pustaka digunakan sebagai metode penelitian, dan hasilnya menunjukkan bahwa DPA memiliki peran kunci dalam memberikan bimbingan, motivasi, dan solusi terhadap masalah akademik mahasiswa. DPA terlibat dalam memberikan bimbingan pada awal semester, memantau kehadiran dan nilai mahasiswa, serta membantu menyelesaikan masalah akademik. DPA juga membantu mahasiswa mengembangkan potensi pendidikan, penelitian, seni, dan budaya. Meskipun faktor internal dan eksternal dapat mempengaruhi motivasi dan minat belajar mahasiswa, DPA berfungsi sebagai mediator yang membantu mahasiswa mengatasi hambatan tersebut. Kesimpulannya, penelitian ini menyoroti peran integral DPA dalam meningkatkan motivasi dan minat belajar mahasiswa Pendidikan Keagamaan Buddha, dengan solusi yang merangkul pendekatan holistik untuk meningkatkan kualitas pendidikan tinggi dan menciptakan lulusan yang berkualitas.
Big Data Analytics for Predicting Depression Risk in Generation Z: Integrating Self-Organizing Maps and Long Short-Term Memory Sinaga, Joy Nasten; Nuraina, Nuraina; Sinaga, Frans Mikael; Kelvin, Kelvin; Nurhayati, Nurhayati
Indonesian Journal of Artificial Intelligence and Data Mining Vol 8, No 3 (2025): November 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v8i3.38011

Abstract

Mental health issues among Generation Z are rising, with depression being one of the most significant challenges. Leveraging the capabilities of big data analytics and artificial intelligence, this study proposes a hybrid method combining Self-Organizing Maps (SOM) and Long Short-Term Memory (LSTM) networks to predict depression risk based on behavioral data. The SOM algorithm is utilized for clustering high-dimensional input data to uncover hidden patterns, while the LSTM network is employed to capture sequential dependencies over time. Data were collected from various digital platforms, processed, and analyzed to train and validate the proposed model. Results show that the SOM-LSTM framework significantly improves the accuracy and reliability of early depression risk detection compared to conventional models. This study contributes a scalable and adaptable model for mental health prediction that can assist in timely interventions for Generation Z
A Smart Architecture for Stunting Prediction: Implementing the SOM–Voting Classifier on Healthcare Big Data Kelvin, Kelvin; Winardi, Sunaryo; Sinaga, Frans Mikael; Hardy, Hardy; Panjaitan, Erwin Setiawan; Wong, Ng Poi; Ferawaty, Ferawaty; Lim, Justine; Wijaya, Grace Putri
Indonesian Journal of Artificial Intelligence and Data Mining Vol 8, No 3 (2025): November 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v8i3.38000

Abstract

Childhood stunting is a persistent public health challenge in Indonesia. This study developed a predictive classification model using healthcare data from hospitals in Medan to enable early identification of at-risk children. A novel framework was proposed that integrated an unsupervised Self-Organizing Map (SOM) for feature engineering with a supervised Voting Classifier ensemble, which combined a Support Vector Classifier (SVC), Random Forest (RF), and Gradient Boosting (GB). The proposed framework achieved an accuracy of 100% on the test set, a substantial improvement over the 91.67% accuracy of the baseline Voting Classifier without SOM. While this result highlighted the model's high predictive potential, it must be interpreted cautiously, acknowledging the need for validation on more diverse datasets to ensure generalizability. The findings demonstrated that this hybrid machine learning approach can serve as a powerful decision-support tool, enabling proactive clinical interventions and aiding public health officials in strategically allocating nutritional resources to support Indonesia's national stunting reduction goals.
Peran Theory of Planned Behavior dan Environmental Concern terhadap Green Investment Intention Candy, Candy; Kelvin, Kelvin; Hesniati, Hesniati
Jurnal Ilmu Manajemen Vol. 14 No. 1 (2024): Jurnal Ilmu Manajemen
Publisher : Universitas Muhammadiyah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32502/jim.v14i1.397

Abstract

The aim of this research is to examine the green investment intentions of Indonesian investors. The Indonesian government is initiating sustainable development with the new capital city, which is envisioned as a green city. Indonesia faces significant environmental challenges, including air pollution, which ranks the country 26th out of 131 countries with poor air quality, according to the 2022 IQAir report. In response, the government has issued green sukuk to support green projects further. Previous research in many developing countries has utilized the theory of planned behavior as a framework. This study collected primary data by distributing questionnaires to 210 investors in Batam. The data was analyzed using the Partial Least Squares-Structural Equation Modeling (PLS-SEM) method. The results indicate that green perceived behavioral control and environmental concern have a significant positive effect on green investment intentions. However, green attitude and green subjective norms do not directly influence green investment intentions. The findings highlight that green perceived behavioral control and environmental concern are critical factors in shaping investment intentions, suggesting that investors' actions are driven by internal motivations and environmental concerns
Penerapan Metode Eksperimen PhET untuk MeningkatkanPemahaman Momentum dan Impuls Kelvin, Kelvin
Seminar Nasional Teknologi dan Multidisiplin Ilmu (SEMNASTEKMU) Vol. 5 No. 1 (2025): SEMNASTEKMU
Publisher : Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/hazg8856

Abstract

Pemahaman konsep fisika, terutama momentum dan impuls, merupakan hal yang penting dalam pembelajaran fisika di sekolah menengah. Namun, banyak siswa mengalami kesulitan dalam memahami konsep-konsep ini karena sifatnya yang abstrak. Penelitian ini bertujuan untuk menguji pengaruh PHET Simulation dalam meningkatkan pemahaman konsep fisika pada materi momentum dan impuls, dibandingkan dengan metode ceramah konvensional. Metode yang digunakan adalah eksperimen dengan desain two-group pre-test post-test design, melibatkan dua kelompok siswa kelas XI di SMAN 15 Muara Jambi. Kelompok pertama menggunakan PHET Simulation, sedangkan kelompok kedua menggunakan ceramah. Data diperoleh melalui tes pre-test dan post-test, yang dianalisis menggunakan N-Gain untuk mengukur peningkatan pemahaman. Hasil penelitian menunjukkan bahwa kelas A yang menggunakan PHET Simulation memiliki nilai N-Gain rata-rata sebesar 66,39% (cukup efektif), sedangkan kelas B yang menggunakan ceramah hanya mencapai 41,14% (kurang efektif). Kesimpulannya, PHET Simulation terbukti lebih efektif dalam meningkatkan pemahaman siswa terhadap materi momentum dan impuls dibandingkan dengan metode ceramah konvensional.
Pelatihan Batik Kerudung Dengan Pewarnaan Limbah Dapur dan Ecoprint Untuk Ibu-Ibu PKK Medokan Ayu Rungkut Tyas, Bonifacia Bulan Aruming; Sufiana, Sufiana; Kelvin, Kelvin
JPP IPTEK (Jurnal Pengabdian dan Penerapan IPTEK) Vol 9, No 2 (2025): November
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jpp-iptek.2025.v9i2.8324

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan memberdayakan ibu-ibu PKK Medokan Ayu Timur, Rungkut, Surabaya melalui pelatihan pembuatan batik kerudung dengan teknik ikat celup dan ecoprint menggunakan pewarna alami dari limbah dapur. Permasalahan utama yang dihadapi mitra adalah belum adanya pengetahuan dan keterampilan dalam memanfaatkan bahan-bahan sisa dapur, seperti kulit kunyit, ampas kopi, ampas teh, kulit bawang merah, dan kulit bawang bombay, sebagai pewarna alami. Selain itu, mitra juga memerlukan pendampingan dalam proses pemberian merek dan pemasaran produk secara digital. Kegiatan dilaksanakan melalui pendekatan observasi dan partisipasi aktif agar peserta terlibat langsung serta mampu berlatih secara mandiri. Pelatihan terbagi menjadi dua tahap, yaitu penyampaian materi dan praktik lapangan yang berlokasi di rumah anggota mitra. Pada tahap praktik, peserta diajarkan mulai dari proses persiapan kain, pewarnaan, pengikatan, pencelupan, pembilasan, hingga pengeringan, dilanjutkan dengan sesi branding dan promosi produk melalui media sosial. Hasil kegiatan menunjukkan antusiasme peserta yang tinggi serta kemampuan mereka dalam menghasilkan motif batik yang unik dan estetis. Produk batik yang dihasilkan kemudian dikembangkan melalui pemberian merek, pengemasan, dan pameran yang didukung oleh publikasi di akun media sosial PKK Medokan Ayu Timur. Program ini didanai oleh Diktisaintek Berdampak bekerja sama dengan Institut Sains dan Teknologi Terpadu Surabaya, dan diharapkan menjadi langkah awal bagi pengembangan batik ramah lingkungan di masyarakat sekitar.
IMPLEMENTASI CNN UNTUK IDENTIFIKASI SPESIES REPTIL DAN AMFIBI BERBASIS CITRA DIGITAL Aldo Romulus Napitupulu; Herri Suba L. Tobing; Ng Poi Wong; Kelvin, Kelvin
Jurnal Mahajana Informasi Vol 10 No 2 (2025): JURNAL MAHAJANA INFORMASI
Publisher : Universitas Sari Mutiara Indonesia Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51544/jurnalmi.v10i2.6306

Abstract

Reptil dan amfibi merupakan dua kelompok hewan vertebrata yang memiliki peran penting dalam ekosistem, namun kerap sulit dibedakan hanya melalui pengamatan visual. Kemiripan warna kulit, bentuk tubuh, dan pola permukaan sering menimbulkan kesalahan identifikasi, terlebih ketika faktor pencahayaan, latar belakang, dan sudut pengambilan gambar bervariasi. Kondisi ini menimbulkan tantangan signifikan bagi proses identifikasi otomatis berbasis citra. Penelitian ini bertujuan mengembangkan model identifikasi berbasis citra dengan memanfaatkan algoritma Convolutional Neural Network (CNN), yang dikenal handal dalam mengekstraksi dan mempelajari fitur visual dari data citra kompleks. Dataset penelitian terdiri dari 6.045 gambar yang mencakup 10 spesies, dikategorikan menjadi dua kelas utama, yaitu reptil dan amfibi. Arsitektur CNN yang dirancang terdiri dari tiga lapisan konvolusi, pooling, dan fully connected, disertai mekanisme callback seperti EarlyStopping dan ModelCheckpoint untuk mencegah overfitting dan mempertahankan bobot terbaik. Hasil pengujian pada data uji menunjukkan akurasi 86,60%, dengan nilai F1-score 0,91 untuk kelas reptil dan 0,73 untuk kelas amfibi. Perbedaan kinerja ini menunjukkan model lebih optimal dalam mengenali reptil dibandingkan amfibi, yang kemungkinan disebabkan oleh distribusi data tidak seimbang dan kompleksitas visual pada amfibi. Secara keseluruhan, penelitian ini membuktikan bahwa CNN dapat digunakan sebagai alat bantu identifikasi otomatis yang efektif untuk membedakan spesies reptil dan amfibi berdasarkan citra visual.
Sindrom Stevens-Johnson yang Disebabkan oleh Carbamazepine pada Pasien Epilepsi: Laporan Kasus: Laporan Kasus Harlim, Charity; Kelvin, Kelvin; Hartati, Agung Triana
Cermin Dunia Kedokteran Vol 53 No 01 (2026): Kedokteran Umum
Publisher : PT Kalbe Farma Tbk.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55175/cdk.v53i01.1811

Abstract

Introduction: As a first-line antiepileptic drug for partial and tonic-clonic seizures, carbamazepine requires long-term use. This drug carries a risk of Stevens-Johnson syndrome (SJS) or toxic epidermal necrolysis (TEN) reaction. Case: A 23-year-old woman with a history of seizures had reddish rashes on the face, neck, chest, back, and left and right upper extremities covering 10% of the body surface area (BSA) after taking carbamazepine 200 mg twice a day for her seizures. Discussion: The patient was given methylprednisolone 16 mg tablets twicea day, IV diphenhydramine twice a day, and other symptomatic drugs. After 9 days, the patient was discharged with phenytoin 100 mg tablets twice a day as a substitute for carbamazepine. Early treatment with high-dose systemic steroids provides benefits of rapid recovery,especially in SJS patients where skin damage is not too extensive and can be restored by the anti-inflammatory effects of steroids. The main treatment of SJS/TEN is early recognition and immediate discontinuation of the drug. Conclusion: Carbamazepine is often a risk factor forSJS, thus an alternative treatment is needed.
Co-Authors -, Evta Indra Adeline, Ivonne Adnas, Diny Anggraini Agnes, Melda agustin, isnaini nuzula Alberd Alberto Ardiansyah Albert Lee Aldo Romulus Napitupulu Amanda, Nasyah amel amel Andadinata, Muhammad Faiq Renaldy Anderson, Kevin Andy Andy Andy Andy Angelica, Angelica Anisah, Febri Nurul Annisa, Delfia Apriyanto Halim Ardhi, Setya Aripradono, Heru Wijayanto avaleska, avaleska bagus Mulyawan Banjarnahor, Jepri Bao, Nguyen P. G. BUDI UTOMO Candy Candy Cantik, Bella Koes Paulina Carles Juliandy Carrie, Kelvin Cen, Winnie Chai, Evelyn Chendra, Mikhael Christian, Yefta CINDY CINDY Claudia, Evelyn Cuandra, Fendy Darmawan, Mada Surya Delby Maharani Derry, Felix Deseka, Mentari Dewi, Mutiara Permata Puspita Donna Mesina Rosadini Pasaribu Dung, Pham C. T. Ellen Ellen Elsa, Umi Endang Sriwahyuni Erich Priestly Erick Erick Erika Erika Eryc Eryc Etha Etha Etha, Etha EVELYN EVELYN Fandi Presly Simamora Fat, Joni Ferawaty, Ferawaty Ferdiansyah Ferdiansyah Florenly, Florenly Florensa Rosani Purba Florida Nirma Sanny Damanik Gede, Gede Gerynando, Gerynando Gracielan Giani Gravianto, Evan Dionesia Gunawan Gunawan Haerul Pathoni, Haerul Hardy Hardy Haris Wahyudi Harlim, Charity Hartanto, Yudi Hartati, Agung Triana Haryanto, Oda L.B. Hendi Sama Hendrik Hagai Situmeang Hendy Wiliyan Herri Suba L. Tobing Heru Kurniawan Hery Haryanto Hery Haryanto, Kelvin Heryanto Heryanto Hesniati, Hesniati Hugeng Hugeng Ilhami, Mirza Irpan Pardosi Ivander Luktio Jacelyin, Jacelyin Jasmine, Florentina Jefry Kosasih Jennifer Jennifer Jenry Winata Jodi Saputra Dermawan Saragi Johan , Johan Jonatan, Kendrik Jovianto, Jovianto Joy Nasten Sinaga Jules Nurhatmi Kabri Kabri Kabri, Kabri Karinnia, Karinnia Kartawijaya, Fransisca Nathalia Cindy Kartika Suhada Kartono, Rico Katarina Y. V. Zebua Kennedy, Kalon Khie Khiong Kholilah Kosasih, Jefry Kris Herawan Timotius Kristia Yuliawan Kristian Telaumbanua Kurniawan, Ricky Andi Laulita, Nasar Buntu Leslie, Kellie Leuwwo, Natasya Licen Licen Lilia, Wirda Lim, Justine Lim, Nicholas Lina Lina liong, Saw Lulu Jola Uktolseja Marcello Marcello Marsella Wijaya Marsya Marsya Marsya, Marsya Masdaini, Efrina Maulana, Azhar Meiliverani Erline Meilyanti, Meilyanti Meirista Wulandari, Meirista Melda Agnes Manuhutu Melissa Melissa Melissa Melissa Melkyory Andronicus Melson Melson Melvy Devalia Merry Susanti Muhamad Dody Firmansyah Mursalin, Adi Mu’azamsyah, Muhammad Nainggolan, Nora Pitri Nasyah Amanda Natasya Virginia Leuwol Nazila, Hiexmanatun Nelson, Alden Ng Poi Wong NK Nababan, Marlince Nur ‘Azah Nuraina, Nuraina Nurhayati Nurhayati Nyanasuryanadi, Partono Oktavina, Oktavina Panjaitan, Erwin Setiawan Partono Nyanasuryanadi Pram Eliyah Yuliana Pratama, Jimmy Prima, Argo Putra Priyambada, Agung Qadri, Rizni Aulia Raden Mohamad Herdian Bhakti Rahman, Joviki Rambe, Khairul Hawani Rano Ardiansyah Raymond Raymond Reswari, Rianti Ardana Riche Riche Rico Lim Gestu Rinanda, Sevina Rio Ferdinand Rio, Marpaung Jones Riska Wulandari, Riska Rosyadi, Mohammad Eddy Salsabilla Febriatul Husna Samsir Samsir, Samsir Santy, Santy Saputra, Asron Saputra, Eko Murti Saputra, Eric Gilbert Selly Chandra Simanjuntak, Demak Claudia Yosephine Simarmata, Hengki Mangiring Parulian Simarmata, Sarah Nakita Sinaga, Frans Mikael Sinurat, Stiven Hamonangan Sio Jurnalis Pipin Situmeang, Hendrik Hagai Sophya Hadini Marpaung Sri Deviyanti, I Gusti Ayu SRI RAHAYU Sri Yana Stefhani Susanto STELLA STELLA Steven Kosasih Sufiana, Sufiana Sugiyanto, Liem Bambang Suhatati Tjandra Sulistianingsih, Ranti Surjano, Irvan Suryani, Febdwi Susmanto, Susmanto Suyati - Suyono Saputra Syafitri, Ramdani Syamsuddin, Basili Nabil Syanti Irviantina Tabita Tabita Tan, Frenkie Telussa, Kenneth Sebastian Thai, Calvina Tjan, Charles Tony Wibowo, Tony TRI SUTRISNO Tyas, Bonifacia Bulan Aruming Utomo, Yesun Vedas Fernand Alianza Venny, Venny Verawati , Verawati Vernando, Lovis Vincent Pratama Vincent Vincent, Vincent Wahidin Wahab Welwen, Welwen Wijaya, Cindy D. Wijaya, Grace Putri Wijayadi, Linda Julianti Wiliyan, Hendy William Kok Willson, Willson Winardi, Sunaryo Winata, Jenry Winda Halim Winsen Basler Limriadi Wirda Lilia Wulan Sri Lestari Yandi Suprapto Yanti Yanti Yeni Ariesa Yudi Hartanto Yudianto, Wahyu Yulfiswandi, Yulfiswandi Yuliana Yuliana Zai, Immanuel