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Pendidikan Kesehatan Dalam Pengembangan Pengetahuan Lansia Tentang Hipertensi Di Desa Tangkil Sukahati K, Hairuddin; Yulis, Dian Meiliani; Ilham, Radiah; Noviar, Rizki Andita; Vandika, Arnes Yuli; Ariyanti, Sri
Sahabat Sosial: Jurnal Pengabdian Masyarakat Vol. 3 No. 1 (2024): Sahabat Sosial: Jurnal Pengabdian Masyarakat (Desember)
Publisher : Asosiasi Guru dan Dosen Seluruh Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59585/sosisabdimas.v3i1.562

Abstract

Hypertension is a condition in which a person experiences an increase in blood pressure above normal, resulting in an increase in morbidity and mortality rates, systolic blood pressure of 140 mmHg indicates the phase of blood being pumped by the heart and diastolic phase of 90 mmHg indicates the phase of blood returning to the heart. The purpose of PkM is to obtain a general picture and identify the level of knowledge of the elderly about hypertension. The method used in PkM activities is health education in developing the knowledge of the elderly about hypertension. The results of community service are that there are still many elderly who lack knowledge about hypertension, amounting to 21 elderly (58.34%) and good knowledge, amounting to 15 elderly (41.66%). The conclusion of this activity is the importance of increasing knowledge about hypertension for the elderly in improving the health of the elderly. Support from both family and health workers is very much needed.
Evaluasi Pemahaman Standar Operasional Prosedur Tentang Premarital Skrining Pada Bidan Koordinator Thalib, Kiki Uniatri; Rahmat, Rezqiqah Aulia; Pannyiwi, Rahmat; Jariyah, Ainun; Qudratullah, Fyzria; Vandika, Arnes Yuli
Sahabat Sosial: Jurnal Pengabdian Masyarakat Vol. 3 No. 1 (2024): Sahabat Sosial: Jurnal Pengabdian Masyarakat (Desember)
Publisher : Asosiasi Guru dan Dosen Seluruh Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59585/sosisabdimas.v3i1.563

Abstract

Continuous professional development is the most important investment in human resources. Performance assessment and validity of performance professionalism can help develop the capabilities of health service providers. The purpose of PkM is to improve the understanding of standard operating procedures for premarital screening in midwives coordinators in service quality. The method used in PkM activities is to describe the characteristics of midwives coordinators (length of service, last education) in the work area of ​​the Health Center in Mamuju. The results of community service that the understanding of standard operating procedures for premarital, midwives coordinators have a good understanding of the response, so that understanding of standard operating procedures can later be the beginning of changes in midwives in providing education on premarital. The conclusion of this activity is that the majority of midwives coordinators have worked for > 10 years as many as 31 midwives (83.78%) and the last education of midwives is the most 17 midwives (45.95%) with the last education of diploma three and diploma four.
Kajian Hukum Dampak Kecerdasan Buatan terhadap Perlindungan Privasi Data dalam Hukum Siber Indonesia Judijanto, Loso; Basri, T. Saiful; Khulaili Harsya, Rabith Madah; Vandika, Arnes Yuli; Utama, Andrew Shandy
Sanskara Hukum dan HAM Vol. 3 No. 02 (2024): Sanskara Hukum dan HAM (SHH)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/shh.v3i02.498

Abstract

Penelitian ini mengeksplorasi dampak Artificial Intelligence (AI) terhadap perlindungan privasi data dalam kerangka hukum siber Indonesia, dengan menggunakan pendekatan analisis yuridis normatif. Seiring dengan perkembangan teknologi AI yang pesat, teknologi ini menimbulkan tantangan yang signifikan terhadap kerangka hukum yang ada, terutama dalam melindungi privasi data pribadi. Makalah ini menyelidiki persinggungan antara AI dan Undang-Undang Perlindungan Data Pribadi (UU PDP) Indonesia, menganalisis bagaimana kemampuan AI dalam pemrosesan data, otomatisasi, dan pengambilan keputusan menantang standar privasi, mekanisme persetujuan, dan persyaratan transparansi. Temuan ini mengungkapkan bahwa kurangnya ketentuan eksplisit yang membahas AI dalam UU PDP, dikombinasikan dengan ketidakjelasan proses data yang digerakkan oleh AI, menghadirkan risiko yang cukup besar bagi privasi data. Selain itu, aliran data lintas batas dan masalah etika seperti bias algoritmik dan akuntabilitas diidentifikasi sebagai area kritis untuk reformasi hukum. Studi ini menyarankan agar Indonesia meningkatkan kerangka peraturannya dengan mengintegrasikan ketentuan khusus AI, mempromosikan etika AI, dan meningkatkan mekanisme penegakan hukum untuk memastikan perlindungan privasi data yang kuat di era kecerdasan buatan.
Application of KNN Algorithm for Credit Risk Analysis in Savings and Loan Cooperatives Vandika, Arnes Yuli; Pannyiwi, Rahmat
Jurnal ICT : Information and Communication Technologies Vol. 15 No. 2 (2024): October, Jurnal ICT : Information and Communication Technologies
Publisher : Marqcha Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/jict.v15i2.174

Abstract

Credit risk assessment is a major challenge in the management of savings and loan cooperatives, especially when traditional methods are often affected by subjective biases and limitations in analyzing data systematically. This research aims to apply the K-Nearest Neighbors (KNN) algorithm in predicting credit risk accurately and efficiently, with a focus on analyzing borrowers' demographic features and credit history. The research methodology involved primary data collection from savings and loan cooperatives, descriptive statistical analysis, and performance testing of the KNN model using evaluation metrics such as accuracy, precision, recall, and F1-score. The analysis showed that the KNN algorithm achieved an accuracy of 85%, with high recall, indicating the model's ability to detect credit risk consistently. This research makes theoretical contributions by strengthening evidence of the effectiveness of machine learning in financial risk management as well as practical implications in the form of increased efficiency and objectivity in credit decision making. For broader generalization, future research is recommended to use more diverse datasets and explore other more complex algorithms. In addition, ethical aspects such as algorithm transparency and personal data protection should be the main concerns in field implementation.
PKM: Assistance for “TAPIS” Fabric Production Businesses (UMKM) Negeri Katon Village, Pesawaran Regency, Lampung Vandika, Arnes Yuli
Jurnal Sipakatau: Inovasi Pengabdian Masyarakat Volume 1 Issue 2 February 2024: Jurnal Sipakatau
Publisher : PT. Lontara Digitech Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61220/jsipakatau.v1i2.242

Abstract

However, business players have not utilized it to its full potential despite the fact that the regional government of the Pesawaran area has provided the raw ingredients and equipment necessary to manufacture filter cloth. As a result of their lack of innovation, the items that they manufacture do not meet the requirements of the market share. The purpose of this study is to provide an explanation and analysis of the empowerment of micro- and small-scale enterprises (MSMEs) that produce filter cloth “TAPIS” in Negeri Katon Village, where there exist factors that impede their growth, as well as the efforts that have been taken to overcome these factors. A method known as inductive analysis is utilized in this qualitative descriptive study. In order to conduct an analysis of the empowerment of micro, small, and medium-sized enterprises (MSMEs/ UMKM) in the filter cloth industry, In times of economic turmoil, micro, small, and medium-sized enterprises ((MSMEs) play a crucial part in the Indonesian economy. MSMEs were able to survive the financial crisis that occurred in 1998 as well as the pandemic that was caused by the COVID-19 virus. According to the three roles that micro, small, and medium-sized enterprises (MSMEs/ UMKM) play in the Indonesian economy, which include a means of alleviating poverty, a means of equalizing the economic level of small people, and a means of earning foreign exchange for the country, micro, small, and medium-sized enterprises (MSMEs) are a part of the independent Indonesian economy and have a great potential to improve the welfare of the people. Reducing the amount of data, presenting it, and making conclusions are all steps in the process of data analysis. According to research, the Pesawaran Regency Cooperative Industry and Trade Service has provided support to micro-screen cloth “Tapis” industry makers in Negeri Katon Village who are considered to be micro- or small-scale enterprises. 
Enhancing User Experience in Private Bank Mobile Banking: Insights from Management Information System Analysis Hartawan, Muhammad Syarif; Jauhari , Burhanuddin; Vandika, Arnes Yuli; Guterres, Juvinal Ximenes
Journal of Engineering and Science Application Vol. 1 No. 2 (2024): October
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/jesa.v1i2.11

Abstract

This research explores the impact of Management Information Systems (MIS) on user experience in private bank mobile banking, focusing specifically on the effectiveness of m-BCA. Utilizing a descriptive quantitative approach, the study aims to understand how mobile banking features, including accessibility, user interface, security, and functionality, influence user satisfaction. Data were collected through direct experimentation with the m-BCA application, complemented by analysis from secondary data sources and a survey of 30 users. Results indicate that 93.3% of users find m-BCA effective for routine banking needs, attributing high ratings to its convenience and functionality. However, while 80% of respondents appreciate the current security measures, 20% cite the absence of advanced security features such as fingerprint and facial recognition as a drawback. The study also reveals mixed feedback on the user interface; while the straightforward design aids usability, 10% of users express a desire for a more visually appealing interface. Despite these areas for improvement, m-BCA’s comprehensive set of features is generally seen as effective, supporting users in performing essential transactions with ease and reliability. The findings suggest that enhancing interface aesthetics and integrating advanced security options could further boost user engagement and trust in mobile banking applications, underscoring MIS’s role in meeting evolving customer expectations in digital banking.
The Effect of Using End-to-End Encryption in Improving Data Security in Cloud Computing Satya Arisena Hendrawan; Legito; Muhammad Bitrayoga; Jatmiko Wahyu Nugroho; Arnes Yuli Vandika
International Journal of Health, Economics, and Social Sciences (IJHESS) Vol. 7 No. 1: January 2025
Publisher : Universitas Muhammadiyah Palu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56338/ijhess.v7i1.6941

Abstract

Cloud Computing offers various advantages, but also presents major challenges related to data security. End-to-end encryption (E2EE) is considered as a solution to mitigate threats to the security of data stored and processed in the cloud. This research aims to examine the effect of implementing E2EE encryption in improving data security in Cloud Computing. Using a qualitative approach with literature study and secondary data analysis, this research focuses on three main threat categories: data leakage, unauthorized access, and cyberattacks. The results show that E2EE encryption can reduce the incidence of data leakage by 80%, unauthorized access by 83.3%, and cyberattacks by 78.6%. Despite its effectiveness, E2EE encryption implementation faces challenges in encryption key management and potential degradation in system performance. Therefore, good key management and multifactor authentication are essential to ensure data security. This study concludes that although end-to-end encryption improves security, a thorough policy, including key management and access control, is needed to maximize data protection in Cloud Computing.
Analisis Minat Nasabah dalam Penggunaan Mobile Banking Ahmad Nur Budi Utama; Rezki Fitriani; Dian Firdaus; Zaenal Arief; Arnes Yuli Vandika
EKOMA : Jurnal Ekonomi, Manajemen, Akuntansi Vol. 4 No. 1: November 2024
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/ekoma.v4i1.6221

Abstract

Penelitian ini menganalisis faktor-faktor yang memengaruhi minat nasabah dalam penggunaan mobile banking, termasuk persepsi kemudahan, persepsi risiko, kepercayaan, dan pengalaman pengguna. Metode penelitian yang digunakan adalah survei dengan sampel 50 nasabah bank konvensional. Hasil analisis menunjukkan bahwa persepsi kemudahan, kepercayaan, dan pengalaman pengguna memiliki pengaruh positif yang signifikan terhadap minat nasabah, sementara persepsi risiko berpengaruh negatif. Persepsi kemudahan mendorong nasabah untuk mencoba dan menggunakan aplikasi mobile banking, sedangkan kepercayaan yang tinggi terhadap bank meningkatkan rasa aman nasabah dalam menggunakan layanan digital. Sebaliknya, persepsi risiko yang terkait dengan keamanan data pribadi menurunkan minat nasabah untuk menggunakan mobile banking. Pengalaman pengguna yang baik, mencakup antarmuka yang mudah dan navigasi yang responsif, juga terbukti meningkatkan keterlibatan nasabah. Temuan ini menunjukkan bahwa bank perlu meningkatkan keamanan, memperbaiki pengalaman pengguna, dan membangun kepercayaan nasabah untuk meningkatkan adopsi mobile banking.
The Integration of AI and IoT in Cyber-Physical Systems for Smart Manufacturing in Indonesia Wardhani, Diky; Simarangkir, Manase Sahat H; Safarudin, Muhamad Sigid; Vandika, Arnes Yuli; Kaaffah, Faiz Muqorrir
The Eastasouth Journal of Information System and Computer Science Vol. 2 No. 03 (2025): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v2i03.530

Abstract

The integration of Artificial Intelligence (AI) and the Internet of Things (IoT) within Cyber-Physical Systems (CPS) represents a transformative opportunity for smart manufacturing in Indonesia. This study employs a qualitative approach, with insights from five informants, to explore the current state, challenges, opportunities, and strategic recommendations for CPS adoption. Findings reveal that while CPS adoption is in its early stages, it has significant potential to enhance operational efficiency, sustainability, and global competitiveness. Challenges such as limited infrastructure, skill gaps, and cybersecurity concerns are prevalent. However, opportunities exist in leveraging government initiatives, fostering local innovation, and promoting sustainability. Strategic recommendations include enhancing digital infrastructure, providing financial incentives, upskilling the workforce, and establishing clear regulatory frameworks. These insights contribute to advancing Indonesia's Industry 4.0 agenda and offer a roadmap for stakeholders to navigate CPS integration effectively.
The Impact of Explainable AI on User Trust and Ethical AI Adoption in Indonesia Judijanto, Loso; Achmady, Sayed; Fadhilah, St. Annisa Nurul; Vandika, Arnes Yuli
The Eastasouth Journal of Information System and Computer Science Vol. 2 No. 03 (2025): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v2i03.531

Abstract

Explainable Artificial Intelligence (XAI) is increasingly recognized as a critical enabler of trust and ethical AI adoption. This study explores the impact of XAI on user trust and ethical AI adoption within Indonesian academia through a qualitative analysis of five informants, including AI researchers, university administrators, and policymakers. The findings reveal that XAI enhances transparency and ethical awareness while fostering trust among academic stakeholders. However, technical complexity, resource limitations, and resistance to change pose significant barriers to implementation. The study also identifies opportunities for fostering XAI adoption, such as collaborative initiatives, government support, and tailored training programs. These insights contribute to the growing discourse on leveraging XAI for promoting ethical and trustworthy AI practices in academia.
Co-Authors - Afrizal Abdul Muid Fabanyo Achmad Choerudin Ade Kurniawan Ade Kurniawan Ade Suhara Adnan, Ahmad Zaelani Afen Prana Utama Sembiring Afrizal Afrizal Agus Mukholid Agustina, Dian Resha Ahmad Cucus Ahmad Nur Budi Utama Ahmad Zaelani Adnan Ainun Jariyah Akhtar, Shazia Aldo, Novian Aldo, Novian Ali, Zainab Alim Hardiansyah Ambarwati, Rini Amelia S. Sarungallo Andi Naila Quin Azisah Aliasyahbana andrew shandy utama, andrew shandy Anggeraeni, Anggeraeni Anggun Nugroho Anggun Nugroho, Anggun Ansar Ansar Anwar, Wahyuni Aprian, Syawal Archristhea Amahoru, Archristhea Ardiana Batubara Ardiyanto Saleh Modjo Arfah, Andi Ari Kurniawan Saputra ARIEF BUDI PRATOMO Arief Yanto Rukmana Arif Mudi Priyatno Arifudin, Opan Aris Triwiyatno Aris Triwiyatno Arnadi Arnadi Asfahani Asfahani Aslam, Annisa Paramaswary Aslam, Bilal Aslan Aslan Astutik, Wahyuni Sri Bambang Prihantoro Nugroho Bambang Winardi Bambang Winardi Baso Intang Sappaile Basri, T Saiful Basri, T. Saiful Batubara, Ana Uzla Bekti Setiadi Bekti Utomo Bilondato, Nikma Chatarina Umbul Wahyuni Chevy Herli Sumerli Dadang Muhammad Hasyim Debi Herlina Meilani Debi Herlina Meilani Deddy Hidayat Devi Rahmah Sope Dewantara, Rizki Dewantara, Rizki Dewi Endah Fajariana, Dewi Endah Dian Resha Agustina Dina Ika Wahyuningsih Dora, Mechi Silvia Dunggio, Abdul Rivai Saleh Dwi Aris Nurohman Effendy, Femmy Eka Imama Novita Sari Eka Imama Novita Sari Eka Imama Novita Sari Eka Imama Novita Sari Eka Imama Novitasari Eko Sudarmanto Endrianto , Endrixs Endrixs Endrianto Fadhilah, St. Annisa Nurul Fahrijal, Rival Faiz Muqorrir Kaaffah Farida Arinie Soelistianto Faridah Faridah Faridah Faridah Fenty Ariani Feriyanti, Yang Gusti Fildansyah, Rully Fitriani.K, Fitriani.K Frans Sudirjo Frans Sudirjo Fujita, Miku Gilang Pranajasakti Guntur Arie Wibowo Gusma Afriani Guterres, Juvinal Ximenes Hakim, Nur Hamzah, Abd Natsir Hamzali, Said Handy Widjaya Hanifah Nurul Muthmainah Hannan Fadlurahman Harahap, Nur Afifah Harsya, Rabith Madah Khulaili Hazmi, Muhammad Helta Anggia Hendri Khuan Heri Aji Setiawan Hermansyah Hermansyah Hery Widijanto Hidayat, Deddy Hildawati Hildawati Hildawati, Hildawati Htwe, Thandar Husain Nurisman I Putu Dody Suarnatha I Wayan Adi Pratama Ikhwanto Asri Ilham Ilham Ilham Ilham Iqbal, Kiran Ismail, Rima Ruktiari Jackson Yumame Jasmin Jasmin Jasmin, Jasmin Jatmiko Wahyu Nugroho Jauhari, Burhanuddin Joko Santoso Joko Santoso Judijanto, Loso K, Hairuddin Kasim, Jamila Kasmudin Mustapa Khrisna Agung Cendekiawan Khuan, Hendri Kirana, Sukma Ayu Candra Lan, Tran Thi Latifah Latifah Legito Lesmana, Tera Lestari Wuryanti Linm, Sofia Lola Yustrisia Loso Judijanto Loso Judijanto Luckhy Natalia Anastasye Lotte Lucky Mahesa Yahya M. Ammar Muhtadi M. Anwar Aini Made Susilawati Made Susilawati Manalu, Margareta Margareta Manalu Markus Wibowo Marwah Mayasari, Nanny Mei Rani Amalia Merakati, Indah Mislan Sihite, Mislan Moeis, Dikwan Mohammad Arifin Noor Much Deiniatur Muh Arnesta Arnanda Muh Reza Abdillah Muhammad Bitrayoga Muhammad Hazmi MUHAMMAD LUTFI Muhammad Mustofa Muhammad Syafri Muhammad Syafri, Muhammad Muhammad Syarif Hartawan Muhammadong Muhammadong Muhtadi, M. Ammar Mulia, Madepan Munazar Munazar Muthmainah, Hanifah Nurul Nam, Le Hoang Nampira, Ardi Azhar Nanny Mayasari Ni Desak Made Santi Diwyarthi Ningsih, Yunia Noning Verawati Novianty Djafri Novycha Auliafendri Nukman Nunung Suryana Jamin Nur Afiani, Rulan Nur Hakim Nuridayanti Nuridayanti Nurisman, Husain Nurlela, Lela Nurohman, Dwi Aris Nurul Aisyiyah Puspitarini Omar Ahmad Palupiningtyas, Dyah Pannyiwi, Rahmat Pasaribu, Daniel Peng, Nam Pertiwi, Triani Prata Pranajasakti, Gilang Pratama, I Wayan Adi Priyana, Yana Qudratullah, Fyzria Raden Mohamad Herdian Bhakti Radiah Ilham Rahman Rahmat, Rezqiqah Aulia Rahmi Setiawati Rasmita, Dina Rezki Fitriani Rifky , Sehan Rina Destiana Rith, Vicheka Rival Fahrijal Rizki Andita Noviar Rosmawati Harahap Rosmiati Rosmiati Rovanita Rama Rovanita Rama Rukmana, Arief Yanto Rulan Nur Afiani Rully Fildansyah Ruri Koesliandana Ruri Koesliandana Ruri Koesliandana Ruri Koesliandana Ruri Koesliandana Safarudin, Muhamad Sigid Sagena, Unggul Said Hamzali Samsul Arifin Samsul Arifin Santi Diwyarthi, Ni Desak Made Saputra, M. Khalid Fredy Sari, Nidia Wulan Sarungallo, Amelia S. Satya Arisena Hendrawan Sawaluddin Siregar Sayed Achmady Sehan Rifky Setiadi, Bekti Setiawan, Zunan setiawati, rahmi Setyorini, Dhiana SILVIA EKASARI Sima, Yenny Simarangkir, Manase Sahat H Soelistianto, Farida Arinie Sok, Vann Souisa, Wendy Sri Ariyanti Sri Widiastuti Sudarmanto, Eko Sudarmo Sudarmo sudarmo sudarmo Suhara, Ade Suharni Suharni Suharni Sumerli A., Chevy Herli Supriyanti Supriyanti Susanti Susanti Syafril Barus Syam Gunawan Syam Gunawan Syawal Aprian Tahir, Usman Tan, Ethan Tanaka, Kaito Tariq, Usman Tera Lesmana Thalib, Kiki Uniatri Thea Marisca Marbun B.N Tia Tanjung Tia Tanjung, Tia Titiek Rachmawati Titiek Rachmawati Toalib, Ramli Tri Budi Rahayu, Tri Budi Triyugo Winarko Triyugo Winarko, Triyugo Tu, Nguyen Minh Ummu Kalsum Unggul Sagena Upeka Mendis Usman Tahir Utama Sembiring, Afen Prana Utomo, Bekti Wahidyanti Rahayu Hastutiningtyas Wahyuni Sri Astutik Wardhani, Diky Wendy Souisa Wifasari, Septi Wijaya, Hamid Wiwin Susanty Wuryanti, Lestari Xiang, Yang Yamamoto, Sota Yana Priyana Yoga Dwi Goesty D.S Yulis, Dian Meiliani Yusuf Yusuf Zaenal Arief Zani, Benny Novico Zaw, Soe Thu Zhang Li Zohaib Hassan Sain Zulkifli Zulkifli Zulkifli Zulkifli Zunan Setiawan