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Kenali dan Cegah Kanker Serviks pada Wanita Usia Subur (WUS) di RT 003/RW 008 Lenteng Agung, Jakarta Selatan Nency, Aprilya; Muslimah, Anisa Zhavira; Wulandari, Vina; Hidayah, Nurulita; Ponitri, Ponitri; Ngawo, Aurelia Viviani; Putri, Feny Febriana
Jurnal Pengabdian Masyarakat Indonesia Maju Vol 5 No 02 (2024): Jurnal Pengabdian Masyarakat Indonesia Maju Volume 05 Nomer 02 Tahun 2024
Publisher : UIMA Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33221/jpmim.v5i02.3464

Kanker serviks (leher rahim) menempati urutan kedua dengan jumlah 36.633 kasus atau 9,2% dari total kasus kanker (Handayani, 2022). Gangguan Kanker Serviks Di Indonesia, kanker serviks menimbulkan dampak yang signifikan terhadap perempuan dan keluarga mereka, lebih dari 103 juta perempuan berusia lebih dari 15 tahun berisiko terkena penyakit ini. Penyakit ini merupakan jenis kanker terbesar kedua pada perempuan, sekitar 36.000 wanita terdiagnosis setiap tahunnya. Selain itu, sekitar 70% dari seluruh perempuan yang didiagnosis, berada pada stadium lanjut, sehingga angka kematian akibat kanker serviks di Indonesia tergolong tinggi, dengan sekitar 21.000 kematian pada tahun 2020 (kesehatan, 2023). Kegiatan Pengabdian kepada masyarakat ini dilakukan dalam bentuk Penyuluhan dengan tema “Kenali dan cegah kanker serviks pada Wanita Usia Subur (WUS)”. Kegiatan pengabdian kepada masyarakat ini penting dilaksanakan dengan tujuan sebagai saling sharing antara akademisi perguruan tinggi dan para wanita untuk dapat meningkatkan pengetahuan mengenai bahaya kanker serviks dan invesitasi mencegah terjadinya kanker serviks. Rencana kegiatan Penyuluhan ini dilaksanakan tanggal 26 April 2024 dengan sasaran wanita usia subur (WUS) Dengan rentang usia 18-49 tahun sejumlah 25 orang. Metode yang dilakukan dalam kegiatan ini adalah dengan teknik ceramah, diskusi dan tanya jawab secara offline.

Comparative Analysis of Weather Image Classification Using CNN Algorithm with InceptionV3, DenseNet169 and NASNetMobile Architecture Models Wulandari, Vina; Sari, Windy Junita; Al-Sawaff, Zaid Husham; Manickam, Selvakumar
Public Research Journal of Engineering, Data Technology and Computer Science Vol. 2 No. 2: PREDATECS January 2025
Publisher : Institute of Research and Publication Indonesia (IRPI).

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/predatecs.v2i2.1608

Rapid weather changes have a significant impact on various aspects of human life, including social and economic development. Weather analysis traditionally relies on data from Doppler radar, weather satellites, and weather balloons. However, advancements in computer vision technology provide new opportunities to enhance weather prediction systems through image recognition and classification. Studies evaluating and comparing deep learning architectures for weather image classification remain limited.This research utilizes Convolutional Neural Networks (CNN) to classify weather images using three architectures: InceptionV3, DenseNet169, and NASNetMobile. The results show that InceptionV3 achieved 97.94% accuracy on training data, 92.34% on validation data, and 93.81% on test data. DenseNet169 achieved 98.09% accuracy on training data, 88.46% on validation data, and 92.33% on test data. NASNetMobile achieved 96.51% accuracy on training data, 87.82% on validation data, and 89.97% on test data. Based on these results, InceptionV3 is the optimal choice for weather classification due to its consistent performance.This research addresses the gap in evaluating CNN architectures for weather data and contributes to improving weather monitoring systems, early disaster warnings, and applications reliant on accurate predictions. These findings also provide a foundation for the development of advanced technologies in image analysis and weather forecasting in the future.

Metode Analytical Hierarchy Process dan Borda untuk Seleksi Penerima Pembebasan Operasional Sekolah Waluyo, Retno; Setiawan, Ito; Wulandari, Vina
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 8 No 4: Agustus 2021
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2021842743

SMA N 1 Kutasari adalah salah satu sekolah yang turut memberikan upaya dalam membantu siswa untuk terus bersekolah dengan memberikan pembebasan biaya operasional sekolah. Keputusan penerima pembebasan operasional melibatkan banyak pihak sehingga menyebabkan permasalahan berupa kurang subjektif dalam penilaian dan kurang tepatnya sasaran penerima. Tujuan dari penelitian ini adalah untuk membangun Decision Support System penerima pembebasan operasional untuk mengatasi permasalahan yang ada dalam proses seleksi. Proses perhitungan yang digunakan dalam Decision Support System ini adalah kombinasi antara metode Analytical Hierarchy Process untuk mengambil keputusan dengan memberikan prioritas yang efektif atas persoalan yang kompleks dan Borda yang mampu menyatukan beberapa keputusan menjadi keputusan bersama. Metode pengumpulan data yang digunakan adalah studi pustaka, wawancara dan dokumentasi, sedangkan. Penelitian ini menghasilkan sistem pendukung keputusan kelompok dengan kriteria penilaian dari waka kesiswaan, wali kelas dan guru BK. Dari masing-masing kriteria juga terdapat subkriteria. Metode Analytical Hierarchy Process (AHP) digunakan untuk proses perhitungan dari pembuatan matriks sampai dengan perankingan sedangkan metode borda digunakan untuk menghitung hasil akhir rata-rata penilaian dari masing-masing kriteria. Perhitungan difokuskan pada kelas X dan diambil 10 nama siswa dengan score penilaian tertinggi. AbstractSMA N 1 Kutasari is one of the schools that helped give an effort to help students to continue going to school by giving school operational costs free. Decision recipients of operational exemptions involve many parties so that the assessment is less subjective as a result there are students who can afford financially but receive operational exemptions. With the condition of the recipient of the exemption of operational costs that are not right will give problems to the school because there are still students who are supposed to get exemption from school operational costs so that it continues to burden SMAN 1 Kutasari. To reduce or eliminate inappropriate decisions, a decision support system is needed. The existence of a Decision Support System for operational exemption recipients aims to overcome the problems that exist in the selection process. Stages of research conducted include data collection, problem identification, AHP Method Calculation and Borda Method Calculation. Calculation Results Analytical Hierarchy Process method for making decisions by giving effective priority to complex problems and Borda which is able to unite several decisions into joint decisions. From this study produced a decision support system so that it can reduce the problem of decision making that is not appropriate in accordance with the criteria of recipients of operational exemption from schools.

Peningkatan Proses Pembelajaran Tematik Terpadu Menggunakan Model PBL di Kelas IV SD Wulandari, Vina; Eliyasni, Rifda
e-Jurnal Inovasi Pembelajaran Sekolah Dasar Vol 4, No 3 (2016): (September-Desember) e-JIPSD
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/e-jipsd.v7i6.6605

This research was aimed to describe the improvement of learning process through Problem Based Learning (PBL) model at grade IV of SDN 36 Cengkeh in Padang City. Based on the observation, it was found that the teachers did not guide teaching based on problem-oriented, they did not organize the learners to learn, they did not guide the learners independently or in groups, they did not make the learners develop nor present the results of their work, they did not involve the learners in analyzing and evaluating the results of problem solving. The design of the research was classroom action research through qualitative and quantitative approaches. The subjects of this research were the teachers and the learners. The results of this research showed that there are some improvements; the average value is 86.66% at the first cycle of Lesson Plan (RPP). It increases to 96.66% in the second cycle. The observation of the integrated thematic learning process in the first cycle is 78.56% and it increases in the second cycle to 95.23%. The average assessment is 80% for both teacher and students aspects in the first cycle. It increases to 95% in the second cycle.

Implementasi Algoritma Naïve Bayes Classifier dan K-Nearest Neighbor untuk Klasifikasi Penyakit Ginjal Kronik: Implementation of Naïve Bayes Classifier and K-Nearest Neighbor Algorithms for Chronic Kidney Disease Classification Wulandari, Vina; Sari, Windy Junita; Alfian, Zhevin; Legito, Legito; Arifianto, Teguh
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 4 No. 2 (2024): MALCOM April 2024
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v4i2.1229

Ginjal adalah salah satu organ vital yang memiliki peranan sangat penting dalam tubuh dan memiliki fungsi untuk menjaga keseimbangan metabolishme tubuh dengan mengeluarkan racun dari dalam tubuh dan limbah metabolisme dalam bentuk urine. Penyakit ginjal kronik ialah kondisi di mana ginjal mengalami penurunan fungsi yang berlangsung dalam jangka waktu yang lama. Jumlah nilai prelevansi penderita PGK di Indonesia yang terbilang besar. Oleh karena itu dilakukan klasifikasi Penyakit ginjal kronik dengan algoritma Naïve Bayes Classifier (NBC) dan K- nearest Neighbor (KNN) yang mempunyai nilai akurasi yang baik. Berdasarkan Hasil penelitian yang diperoleh klasifikasi PGK menggunakan algoritma NBC memiliki akurasi sebesar 94,25%, rata-rata nilai recall 94,23%, presisi 98,40% dan AUC 0,961, Sedangkan klasifikasi menggunakan algoritma KNN memiliki akurasi sebesar 77,79%, recall 95,06%, presisi 80,20% dan AUC sebesar 0,627. Dari kedua hasil menunjukan bahwa klasifikasi menggunakan algoritma NBC lebih baik dibanding menggunakan algoritma KNN.

Increasing Public Welfare Through Increasing Human Resources of Original Songket Weaving Craftsmanships in Nganjuk District Ambarwati; Supheni, Indrian; Arintowati, Dyan; Wulandari, Vina; Ningrum, Dwi Septia
Indonesian Journal of Devotion and Empowerment Vol. 6 No. 2 (2024): December
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/vfn6nc40

The background of this activity is the gap between active craftsmen and new craftsmen. This is a concern for weaving actors/craftsmen in Barong hamlet, Kedungrejo village, Tanjunganom District, Nganjuk regency. If no action is taken, the weaving culture will become extinct. On the one hand, weaving is a cultural heritage that must be maintained and preserved, but on the other hand, weaving is a promising source of income. Carrying out training activities to improve human resources for these weaving craftsmen means that two goals can be achieved at once, namely preserving ancestral culture and improving the welfare of weaving craftsmen which will have an impact on the community in general. The method chosen in implementing this activity was to provide basic weaving training for beginners, which continued with training so that it was hoped that they could become proficient. This activity was carried out in Barong hamlet, Kedungrejo village, Tanjunganom District, Nganjuk regency. The result of implementing this activity was the growth of new craftsmen who started from beginners/laymen about weaving and are now able to increase family income through weaving crafts.

Peningkatan Proses Pembelajaran Tematik Terpadu Menggunakan Model PBL di Kelas IV SD Wulandari, Vina; Eliyasni, Rifda
e-Jurnal Inovasi Pembelajaran Sekolah Dasar Vol 4, No 3 (2016): (September-Desember) e-JIPSD
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/e-jipsd.v7i6.6605

This research was aimed to describe the improvement of learning process through Problem Based Learning (PBL) model at grade IV of SDN 36 Cengkeh in Padang City. Based on the observation, it was found that the teachers did not guide teaching based on problem-oriented, they did not organize the learners to learn, they did not guide the learners independently or in groups, they did not make the learners develop nor present the results of their work, they did not involve the learners in analyzing and evaluating the results of problem solving. The design of the research was classroom action research through qualitative and quantitative approaches. The subjects of this research were the teachers and the learners. The results of this research showed that there are some improvements; the average value is 86.66% at the first cycle of Lesson Plan (RPP). It increases to 96.66% in the second cycle. The observation of the integrated thematic learning process in the first cycle is 78.56% and it increases in the second cycle to 95.23%. The average assessment is 80% for both teacher and students aspects in the first cycle. It increases to 95% in the second cycle.

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