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All Journal EMITTER International Journal of Engineering Technology J-Dinamika: Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian pada Masyarakat Ilmu Pengetahuan dan Teknologi Terintegrasi Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics
Ikawati, Yunia
Unknown Affiliation
Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Health Professions Materials Science & Nanotechnology

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Pembuatan Aplikasi Sistem Informasi Manajemen Keuangan dan Pendataan Warga Rukun Tetangga di Desa Plosorejo Kabupaten Blitar Berbasis Website: Making a Website-Based Website-Based Application for Financial Management Information Systems and Data Collection for Neighborhood Residents in Plosorejo Village, Blitar Regency Mohammad Robihul Mufid; Pratama, Chrysna Ardy Putra; Fariza, Arna; Yunanto, Andhik Ampuh; Damastuti, Fardani Annisa; Aditama, Darmawan; Basofi, Arif; Mawaddah, Saniyatul; Ikawati, Yunia; Majid, Nur Syaela
Jurnal Pengabdian pada Masyarakat Ilmu Pengetahuan dan Teknologi Terintegrasi Vol. 7 No. 1 (2022): December
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jindeks.v7i1.365

Abstract

Sebagai bentuk pemerintahan terkecil RT melakukan berbagai fungsi tersebut seperti pelayanan administrasi keuangan dan pendataan kependudukan, Kekayaan RT dan data kependudukan warga harus dikelola secara tertib, transparan, tercatat dan dapat dipertanggung jawabkan. Karena manajemen keuangan masih menggunakan cara pencatatan manual Warga Desa Plosorejo Blitar tidak bisa me-monitoring keuangan secara langsung dan mengalami keresahan jika buku keuangan tersebut mengalami kerusakan. Selain itu tidak efektif nya pengolahan data warga oleh ketua RT karena sering berkeliling desa untuk meminta data warga. Solusi dari permasalahan di atas adalah Membuat website sistem informasi manajemen keuangan dan pendataan warga Desa Plosorejo Blitar,agar mengurangi keresahan warga dan pihak ketua RT jika mengalami kehilangan atau rusaknya catatan keuangan desa,dan juga mengefektifkan,mempercepat sekaligus meringankan tugas ketua RT dalam mengolah data warga. Metode pengujian proyek akhir ini menggunakan black box testing untuk menguji fungsionalitas aplikasi dan skala likert untuk menghitung persentasi kuesioner.
Early Detection of Stunting Based on Feature Engineering Approach Ahadi Ningrum, Ayu; Ikawati, Yunia
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 6 No. 3 (2024): August
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v6i3.7

Abstract

The stunting problem in Indonesia is still an extensive issue for the government. Around 22% of cases of stunting affect brain development, resulting in reduced intellectual capacity and permanent disruption of the structure and function of nerves and brain cells. This research describes early detection of stunting using an  feature selection approach. So, datasets related to stunting are valuable in providing complete insight or information in detecting early symptoms of stunting in toddlers. Machine learning modelling for early detection of stunting in this study shows that of the 14 features predicting the value of detecting stunting, only seven features are influential based on their correlation values. When testing continues using Machine Learning algorithms with various variants, the Multilayer Perceptron algorithm can produce an accuracy value of 98%.
Pengembangan Aplikasi E-Commerce Disertai fitur Appointment untuk Memasarkan Produk Perikanan di Desa Rejosari Mufid, Mohammad Robihul; Surya Saputra, Ega; Muhammad David Erlangga, Aprileo; Basofi, Arif; Mawaddah, Saniyatul; Ikawati, Yunia; Teguh Setyadi, Agung; Faradisa, Rosiyah; Aditama, Darmawan; Sukaridhoto, Sritrusta; Chafid, Much; Turmudzi, Muhammad; Wibowo, Agus; Eskaluspita, Pratama; Putri Lestari, Novita; Medya Mahardhika, Yesta; Dewi Fajrianti, Evianita; Liesvarastranta Haz, Amma; Fahruddin, Agus; Sadah, Khozinatus
J-Dinamika : Jurnal Pengabdian Masyarakat Vol 10 No 3 (2025): J-Dinamika
Publisher : Politeknik Negeri Jember

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

Abstract

Desa Rejosari memiliki potensi budidaya perikanan yang besar, namun pemasaran hasil panen masih mengandalkan jalur tradisional sehingga jangkauan konsumen terbatas, media promosi online belum terintegrasi, dan proses transaksi seringkali tidak efisien akibat komunikasi yang tidak terstruktur. Penelitian ini bertujuan mengembangkan aplikasi e-commerce berbasis website dengan fitur appointment untuk mempermudah pemasaran produk perikanan, memperluas pangsa pasar, serta memfasilitasi penjadwalan pertemuan antara pemilik tambak dan pengepul di desa Rejosari. Metodologi pengabdian masyarakat di desa Rejosari ini dimulai dari perumusan masalah di mitra, penyusunan program rencana kerja, sosialisasi dan pelatihan, serta monitoring dan evaluasi. Fitur yang tersedia diantaranya katalog produk, manajemen stok real-time, pencarian lokasi Pengepul, keranjang belanja, dan appointment. Hasil penelitian menunjukkan bahwa aplikasi ini berhasil menjembatani kesenjangan informasi antara penjual dan pembeli, meningkatkan transparansi harga dan ketersediaan produk, serta mendorong adopsi teknologi digital di kalangan pelaku usaha perikanan lokal. Aplikasi ini juga memfasilitasi koordinasi yang lebih baik melalui sistem penjadwalan terstruktur, dan mengurangi miskomunikasi dalam transaksi.
Student Behavior Analysis to Predict Learning Styles Based Felder Silverman Model Using Ensemble Tree Method Ikawati, Yunia; Al Rasyid, M. Udin Harun; Winarno, Idris
EMITTER International Journal of Engineering Technology Vol 9 No 1 (2021)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v9i1.590

Abstract

Learning styles are very important to know so that students can learn effectively. By understanding the learning style, students will learn about their needs in the learning process. One of the famous learning management systems is called Moodle. Moodle can catch student experiences and behaviors while learning and store all student activities in the Moodle Log. There is a fundamental issue in e-learning where not all students have the same degree of comprehension. Therefore, in some cases of learning in E-Learning, students tend to leave the classroom and lack activeness in the classroom. In order to solve these problems, we have to know students' preferences in the learning process by understanding each student's learning style. To find out the appropriate student learning style, it is necessary to analyze student behavior based on the frequency of visits when accessing Moodle E-learning and fill out the Index Learning Style (ILS) questionnaire. The Felder Silverman model's learning style classifies it into four dimensions: Input, Processing, Perception, and Understanding. We propose a learning style prediction model using the Ensemble Tree method, namely Bagging and Boosting-Gradient Boosted Tree. Afterwards, we evaluate the classification results using Stratified Cross Validation and measure the performance using accuracy. The results showed that the Ensemble Tree method's classification efficiency has higher accuracy than a single tree classification model.
Co-Authors Aditama, Darmawan Agus Wibowo Ahadi Ningrum, Ayu Andhik Ampuh Yunanto Arna Fariza Basofi, Arif Chafid, Much Damastuti, Fardani Annisa Dewi Fajrianti, Evianita Eskaluspita, Pratama Fahruddin, Agus Faradisa, Rosiyah Idris Winarno Liesvarastranta Haz, Amma M Udin Harun Al Rasyid, M Udin Harun Majid, Nur Syaela Mawaddah, Saniyatul Medya Mahardhika, Yesta Mohammad Robihul Mufid Mufid, Mohammad Robihul Muhammad David Erlangga, Aprileo Pratama, Chrysna Ardy Putra Putri Lestari, Novita Sadah, Khozinatus Saniyatul Mawaddah Surya Saputra, Ega Teguh Setyadi, Agung Turmudzi, Muhammad