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All Journal Dentika Dental Journal Jurnal Edukasi: Kajian Ilmu Pendidikan Pendas : Jurnah Ilmiah Pendidikan Dasar Jurnal Pengabdian Magister Pendidikan IPA Bioscientia Medicina : Journal of Biomedicine and Translational Research Jurnal Keperawatan Widya Gantari Indonesia Jurnal Sosiohumaniora Kodepena (JSK) Vox Dei : Jurnal Teologi dan Pastoral Bioscientia Medicina : Journal of Biomedicine and Translational Research Jurnal Kesehatan Akimal International Journal of Community Service (IJCS) Jurnal Ilmu Manajemen Dan Kewirausahaan (JIMK) Technology, Business and Entrepreneurship Jurnal EKOBIS (Kajian Ekonomi dan Bisnis) PASAI : Jurnal Pengabdian kepada Masyarakat SCIENTIA JOURNAL : Jurnal Ilmiah Mahasiswa Jurnal Pendidikan Islam Al Ikhlas Prosiding Seminar Nasional CORISINDO Algebra : Jurnal Pendidikan Sosial dan Sains
Nelly
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AROMA TERAPI LAVENDER SEBAGAI ALTERNATIF PENURUNAN STRES KERJA PERAWAT DI RUMAH SAKIT Nelly; Tiara Ramadhanti, Elsa; Siregar, Tatiana; Kurniasih, Een
Jurnal Keperawatan Widya Gantari Indonesia Vol 8 No 2 (2024): JURNAL KEPERAWATAN WIDYA GANTARI INDONESIA (JKWGI)
Publisher : Nursing Department, Faculty of Health, Universitas Pembangunan Nasional "Veteran" Jakarta

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

Abstract

Work stress can cause health problems to impact the quality of nurses' work. Intervention is needed to reduce work stress in order to avoid detrimental effects. The aim of this research is to determine the effect of giving lavender aromatherapy on lavender aromatherapy therapy by inhalation, where inhaling lavender essential oil has calming properties that can reduce stress, including work stress, work stress as a nurse. This research uses a Quasi Experiment research design with One Group Pre – Post Test Design. The population in this study were 20 nurses in the Isolation Room at a hospital in Jakarta. The sampling technique uses Consecutive sampling. The total sample was 20 respondents with minimum criteria of D3 Nursing. The data were analyzed using the Repeated Measures Anova Test, with the results that there was an effect of giving lavender aromatherapy with a P value of 0.00 (P value < 0.05 CI 95%) on the intervention. The research results also show that there is a difference in results between before and after the second, third and fourth interventions with a P value of 0.00 (P value < 0.05). This research is recommended for nurses as an alternative method for reducing work stress.
PENGARUH PENGGUNAAN MEDIA GOOGLE EARTH UNTUK MENINGKATKAN BERPIKIR SPASIAL SISWA PADA MATA PELAJARAN GEOGRAFI DI SMAN 2 PADANG PANJANG Yurni Suasti; Nelly
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 10 No. 02 (2025): Volume 10 No. 02 Juni 2025 In Progres
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v10i02.26587

Abstract

This study aims to determine the application of the use of google earth media to improve students' spatial thinking skills and to determine the effect of using google earth media to improve students' spatial thinking skills at SMAN 2 Padang Panjang. The research method used in this study is the Quasi Experiment Method with the research design of Nonequivalent Control Group Design. Sampling was done by Random Sampling technique. The samples in this study were X.1 class students as the experimental class given the Google Earth application learning media treatment and X.2 class as the control class given the Microsoft Power Point learning media treatment. Data collection uses multiple-choice pretest and posttest instruments that have been tested for validity, reliability, and observation. The results of this study are that there is an effect of Google Earth Learning Media on the spatial thinking ability of students in class X.1 SMA N 2 Padang Panjang, the average posttest of the experimental class is 84.59 and the control class is 70.73. Data analysis using the paired Sample T-Test test from the calculated data obtained a significance level (Sig.) of 0.001 because the significance is smaller than 0.005 (0.001 <0.005), then Ho is rejected and Ha is accepted.
Beyond Glycemia: Independent Hemodynamic and Metabolic Drivers of Incident Diabetic Kidney Disease in a 5-Year Prospective Indonesian Primary Care Cohort Juliana; Nelly
Bioscientia Medicina : Journal of Biomedicine and Translational Research Vol. 10 No. 1 (2026): Bioscientia Medicina: Journal of Biomedicine & Translational Research
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/bsm.v10i1.1490

Abstract

Background: The relative contributions of hyperglycemia, hypertension, and metabolic adiposity to the progression of diabetic kidney disease (DKD) are debated, particularly in Southeast Asian populations and in the context of modern polypharmacy. We aimed to prospectively quantify the independent impact of glycemic burden, hemodynamic stress, and central adiposity on the 5-year incidence of DKD in an Indonesian primary care cohort. Methods: We conducted a 5-year, multi-center, prospective cohort study at 25 primary care clinics in Indonesia. We randomly sampled and enrolled 1,250 T2DM patients without pre-existing DKD (eGFR > 60 mL/min/1.73m² and normoalbuminuria). The primary composite outcome was incident DKD, defined as persistent albuminuria (ACR ≥ 30 mg/g on 2 of 3 occasions) or a sustained eGFR decline of ≥ 30%. Baseline predictors included HbA1c, Systolic Blood Pressure (SBP), and Waist-to-Height Ratio (WHtR). Multivariable Cox proportional-hazards models were used to estimate Hazard Ratios (HRs), adjusting for demographics, baseline eGFR, and baseline use of RAAS inhibitors (RAASi) and SGLT2 inhibitors. Results: Of 1,250 participants, 980 (78.4%) completed the 5-year follow-up. Over a median 4.9 years, 215 participants (21.9%) developed the composite DKD outcome. In the fully-adjusted multivariable Cox model, all three pathways were strong, independent predictors of incident DKD. The standardized HR for SBP (per 1-SD increase) was 1.68 (95% CI: 1.40–2.01; p<0.001), for HbA1c (per 1-SD increase) was 1.45 (95% CI: 1.22–1.73; p<0.001), and for WHtR (per 1-SD increase) was 1.39 (95% CI: 1.18–1.65; p<0.001). Conclusion: In this prospective primary care cohort, hemodynamic stress (SBP), glycemic burden (HbA1c), and metabolic adiposity (WHtR) were all independent, potent drivers of incident DKD, even after controlling for the use of protective cardio-renal medications. These findings confirm that a multi-pillar strategy, aggressively targeting blood pressure, glucose, and weight/metabolic health simultaneously, is essential for DKD prevention.
Rancang Bangun Arsitektur Jaringan Kampus Kognitif dan Tangguh Berbasis SDN dan Kontrol Akses Kontekstual Berbasis IoT Nelly; Fauzin, Ihsan; Taqwim, Ahmad Ahsani; Husain
CORISINDO 2025 Vol. 1 (2025): Prosiding Seminar Nasional CORISINDO 2025
Publisher : CORISINDO 2025

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/corisindo.v1.5308

Abstract

Transformasi digital di lingkungan kampus menuntut adanya arsitektur jaringan yang adaptif, aman, dan mudah dikelola. Pendekatan konvensional sering kali tidak mampu memenuhi kebutuhan ini secara efisien. Penelitian ini mengusulkan rancangan arsitektur jaringan kampus berbasis Software-Defined Networking (SDN) yang terintegrasi dengan Internet of Things (IoT) dan sistem kontrol akses berbasis konteks. SDN memungkinkan manajemen jaringan yang terpusat dan fleksibel, sementara IoT menyediakan data kontekstual secara real-time untuk mendukung pengambilan keputusan akses yang adaptif. Sistem kontrol akses kontekstual diterapkan untuk meningkatkan keamanan dengan memperhitungkan variabel seperti lokasi, waktu, dan profil pengguna. Hasil evaluasi menunjukkan bahwa arsitektur ini dapat meningkatkan kinerja jaringan, skalabilitas, dan keamanan secara signifikan dalam lingkungan kampus digital yang dinamis.
Masa Depan Pembelajaran Bagaimana Jaringan Syaraf Tiruan Membentuk Pendidikan Nelly; Fauzin, Ihsan; Priyanto, Dadang
CORISINDO 2025 Vol. 1 (2025): Prosiding Seminar Nasional CORISINDO 2025
Publisher : CORISINDO 2025

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/corisindo.v1.5351

Abstract

Di tengah tuntutan akan pembelajaran yang lebih personal dan adaptif, sistem pendidikan konvensional masih menghadapi kendala dalam menyesuaikan pendekatan pembelajaran dengan kebutuhan individu siswa. Meskipun teknologi kecerdasan buatan seperti Jaringan Syaraf Tiruan (JST) telah berkembang pesat, pemanfaatannya dalam bidang pendidikan masih terbatas, serta menimbulkan kekhawatiran terkait interpretabilitas sistem dan kesiapan infrastruktur pendidikan. Penelitian ini bertujuan untuk mengkaji bagaimana JST dapat membentuk masa depan pembelajaran melalui pendekatan Systematic Literature Review (SLR) terhadap publikasi ilmiah terpilih sejak tahun 2020. Metode ini melibatkan analisis terhadap 15 sumber referensi terbuka, mencakup jurnal, prosiding konferensi, dan tesis. Hasil kajian menunjukkan bahwa penerapan JST secara efektif meningkatkan kualitas pembelajaran adaptif, mempersonalisasi konten, dan meningkatkan hasil belajar hingga 20%. Selain itu, pendekatan neural-symbolic turut meningkatkan transparansi dan kepercayaan pengguna terhadap sistem. Penelitian ini menyimpulkan bahwa JST memiliki potensi besar dalam merevolusi pendidikan, namun implementasinya membutuhkan dukungan kebijakan, pelatihan pendidik, serta perlindungan data untuk menjamin keberlanjutan dan etika penggunaannya.
PENERAPAN TERAPI Virgin Coconut Oil (VCO) DALAM MENGURANGI MILIARIA (BIANG KERINGAT) PADA ANAK Fazrina, Afrilia; Putri, Risqina; Destari, Popi Lya; Mairoel; Nelly
Jurnal Kesehatan Akimal Vol 5 No 1 (2026): EDISI APRIL 2026
Publisher : Akademi Keperawatan Kesdam Iskandar Muda Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58435/jka.v5i1.223

Abstract

Miliaria (biang keringat) adalah kondisi kulit yang disebabkan oleh produksi keringat berlebihan akibat penyumbatan saluran kelenjar keringat. Kondisi ini menyebar ke wajah, dada, lipatan kulit, punggung, anggota tubuh yang tertutup pakaian, serta telapak tangan dan kaki, disertai rasa terbakar dan gatal. Sekitar 80% kasus miliaria di dunia terjadi pada anak-anak, dengan 65% terjadi pada bayi. Prevalensi miliaria di Indonesia mencapai 49,6%, umumnya terjadi pada bayi, terutama di kota-kota besar. Miliaria menempati peringkat ke-7 dari 10 penyakit kulit yang terjadi pada bayi dan balita. Prevalensi penyakit kulit ini tercatat sebesar 6,8% di Aceh. Penelitian ini bertujuan untuk mengetahui penerapan Virgin Coconut Oil (VCO) dalam mengurangi miliaria (biang keringat) pada anak. Metode penelitian ini adalahdeskriptif dengan pendekatan studi kasus pada dua orang anak dengan miliaria berusia 0-12 tahun yang sesuai dengan kriteria inklusi. Alat pengumpulan data menggunakan lembar observasi. Terapi VCO diberikan selama 5 hari berturut-turut dengan dibubuhkan dibagian yang terdapat tanda miliaria. Sebelum dilakukan intervensi, Subjek I mengalami bintik-bintik merah, sensasi terbakar, dan gatal, sedangkan Subjek II mengalami bintik- bintik merah yang menyebar, gatal, terbakar, dan nanah. Setelah intervensi, kondisi kedua subjek membaik, bintik-bintik dan gatal menghilang, dan nanah berkurang. Hasil penelitian menunjukkan bahwa terapi VCO efektif dalam mengurangi biang keringat pada anak-anak dan dapat digunakan sebagai pilihan intervensi non-farmakologis.
Digital Transformation of Local MSMEs: Applying AI-Based Market Intelligence in Purwakarta (a Case Study at Ceramic Product) Syafei, M. Yani; Sjaifudian, Hetifah; Sumarto, Siswanda H.; Husnah, Nuzul; Omar, Abdisamad Abdirahim; Rohmana, Aceng; Nelly
International Journal of Community Service (IJCS) Vol. 5 No. 1 (2026): January-June
Publisher : PT Inovasi Pratama Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55299/ijcs.v5i1.1882

Abstract

This international community service program aims to support the digital transformation of local Micro, Small, and Medium Enterprises (MSMEs) by applying AI-based market intelligence, focusing on ceramic product MSMEs in Purwakarta, Indonesia. The program was conducted using a participatory approach through training, practical mentoring, and evaluation involving lecturers, students, international academic partners, and MSME actors. The main objective was to enhance MSME capabilities in understanding market trends, identifying customer segments, analyzing competitors, and developing digital marketing strategies using artificial intelligence tools. The results indicate that participants experienced significant improvement in their understanding of digital transformation, shifting from basic social media usage toward a more comprehensive approach involving data-driven decision-making and market analysis. Through practical sessions, participants were able to generate customer personas, product positioning strategies, digital promotional content, and product descriptions using AI tools. The program also encouraged MSMEs to develop more adaptive and customer-oriented marketing approaches, particularly in promoting ceramic products as both functional and creative goods. In addition, the activity demonstrated that AI-based market intelligence can be applied effectively by MSMEs when delivered through simple, contextual, and practice-oriented methods. Despite initial challenges related to digital literacy and familiarity with AI tools, participants showed strong interest in adopting these technologies for their business development. The study concludes that integrating AI into MSME marketing practices can enhance competitiveness and market responsiveness. Continuous mentoring and collaboration between academic institutions and MSMEs are essential to ensure sustainable digital transformation and long-term business growth.
HUMAN RESOURCES DATA ANALYSIS FOR DECISION MAKING: THE USE OF DATA ANALYTICS AND ARTIFICIAL INTELLIGENCE (AI) IN FORECASTING HUMAN RESOURCE TRENDS, TALENT MANAGEMENT, AND EDUCATOR PERFORMANCE Zulaikhah, Ani; Novilia; Nopiliasari; Nelly; Lestari, Neta Dian; Zulinto, Ahmad
Algebra : Jurnal Pendidikan, Sosial dan Sains Vol. 6 No. 2 (2026): Algebra : Jurnal Pendidikan Sosial dan Sains
Publisher : Yayasan Amanah Nur Aman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58432/ebz30j51

Abstract

This research explores the utilization of data analytics and artificial intelligence in strategic decision-making for educational human resource management. Employing a qualitative approach through library research methodology, this study analyzes literature from internationally indexed journals, books, and relevant research reports. Findings reveal that implementation of predictive analytics and machine learning algorithms enhances the accuracy of educator demand forecasting by 35 percent, talent management efficiency by 60 percent, and performance productivity by 32 percent. Analytical technology enables educational institutions to make evidence-based decisions in recruitment, professional development, and performance evaluation. However, implementation in Indonesia faces challenges including technological infrastructure limitations, digital competency gaps, and organizational cultural resistance. Gradual adoption strategies with capacity development investments, multi-stakeholder collaboration, and supportive institutional policies become key success factors for digital transformation. This research contributes to technology-based human resource management literature within the Indonesian educational context.
Co-Authors Afini, Vivin Agustina Nurhayati Anggraini, Hilwa Anwar Aryanie, Irne Destari, Popi Lya Dewi Angkat, Sri Eddy Anwar Ketaren Eduardo, Farrell Ionwyn Fauzin, Ihsan Fazrina, Afrilia Gloria, Oxana Hanum, Filia Husain Husnah, Nuzul Imam Suroso Irsan Juliana Juwita Kemas Welly Angga Permana Kurniasih, Een Lia Sari Lubna Salsabila Ludfi, Ludfi M Yusuf Mahdi Hendrich Mairoel Marcell, Richard Masnoni Muhammad Muhammad Nawir MULYADI Neta Dian Lestari Nopiliasari Novilia Nur Hidayah Nurfiani Syamsuddin Omar, Abdisamad Abdirahim Putri Adelia Ramadhania Putri, Risqina Rahmi Rahmi Rahmi Rohmana, Aceng Roy Saleh Safri, Hayanuddin Saputra, Didin Hadi Siahaan, Siska Siregar, Tatiana Sisilia Intan Barokah Sjaifudian, Hetifah Sri Mulyono Sri Sutandi Sufitrayati Sufritayati Sumarto, Siswanda H. SUSANTI Sutoyo Syafei, M. Yani Syamsuddin, Nurfiani Taqwim, Ahmad Ahsani Tiara Ramadhanti, Elsa Tiovino, Dustin Tutik Pebrianti Vinsensius William Yana, Saifuddin Yurni Suasti Zahrul Fuadi Zein Ghozali Zulaikhah, Ani Zulinto, Ahmad