Article Per Year (5 Year)
p-Index From 2020 - 2025
3.082
P-Index
This Author published in this journals
All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Ilmu Komputer dan Informasi JURNAL SISTEM INFORMASI BISNIS Jurnal Ilmiah Informatika Komputer Jurnal Ilmiah Teknologi dan Rekayasa UG Journal Prosiding KOMMIT IPTEK Journal of Proceedings Series Jurnal Ilmiah KOMPUTASI ILKOM Jurnal Ilmiah Jurnal Ilmiah Mandala Education (JIME) Journal of Industrial Engineering & Management Research (JIEMAR) WAHATUL MUJTAMA: Jurnal Pengabdian Masyarakat JURNAL AL-AQIDAH DECODE: Jurnal Pendidikan Teknologi Informasi Jurnal Pepadu Eduvest - Journal of Universal Studies Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Jurnal Pengabdian Sosial Jurnal Wicara Desa
Rodiah Rodiah
Universitas Gunadarma
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Neuroscience Public Health Social Sciences Other

Published : 25 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 25 Documents
Search

 1   2   3 
REBRANDING TELAGA IJO JELANTIK MENJADI WISATA TIRTA DENGAN PENEBARAN IKAN DAN PENANAMAN POHON PENEDUH Baiq Alfia Rahmatul Aini; Suni, Muhammad Asy’ Arya; Ubudiyah, Sativa; Putra, Wahyuda Mandala; Umri, Ropizar; Haswari, Nanda Ciptaning; Febrian, Baiq Eka; Rodiah, Rodiah; Usiana, Shilan; Maulana, Alvin
Jurnal Wicara Vol 3 No 3 (2025): Jurnal Wicara Desa
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/wicara.v3i3.6757

Abstract

Telaga Ijo Jelantik is a tourist destination in Jelantik Village, Jonggat District, Central Lombok Regency, which has great attraction but is still little known to tourists outside the area. To increase tourist attraction and ecosystem sustainability, Telaga Ijo Jelantik was rebranded through the distribution of fish seeds and planting shade trees. This activity aims to revitalize sustainable natural resources in the context of disaster mitigation, improving ecosystem balance, as well as developing water water tourism attractions so that they have the potential to attract local tourists. Where the outcome can improve the economy of the local community. Implementation methods include location surveys, preparation of plans, outreach to the community, and publication in online media. The results of this activity show that the rebranding of Telaga Ijo Jelantik was well received by the community, seen from the strong will of POKDARWIS and support from the Jelantik Village Management. Distribution of fish seeds and planting shade trees is effective in increasing community environmental awareness and has the potential to support the growth of the micro-economic and creative sectors in Jelantik Village.
An optimized transfer learning-based approach for Crocidolomia pavonana larvae classification Risnawati, Risnawati; Rodiah, Rodiah; Madenda, Sarifuddin; Tri Susetianingtias, Diana
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 3: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i3.pp2270-2281

Abstract

The increasing demand for mustard greens has driven farmers to continuously improve mustard greens cultivation. One of the challenges in mustard greens cultivation is the presence of insect pests. A significant pest in mustard greens is Crocidolomia pavonana (C. pavonana). C. pavonana damages plants by feeding on various parts, especially the leaves. The initial step in controlling them is insect pest monitoring. Monitoring aims to establish the control threshold. C. pavonana larvae have four instar stages: instar 1, 2, 3, and 4. Identification of the instar larval stages utilizes deep convolutional neural network (CNN) to classify C. Pavonana larvae on mustard greens using ResNet50V2 and DenseNet169 architectures optimized to enhance classification accuracy. The classification evaluation results show that both DenseNet169 and ResNet50V2 models achieve high accuracy, with DenseNet169 reaching the highest accuracy at 97.1%, while ResNet50V2 achieves an accuracy of 94.2%. The lower loss values on the test data compared to the validation data indicate that the deep learning models have successfully captured the patterns in C. pavonana images for classification. This classification process is expected to be one of the activities in monitoring the instar larvae to improve the accuracy of insecticide spraying and enhance mustard greens production.
Pengabdian Sosial Berbasis Potensi Pelatihan Canvativity dan Fokus Cipta Puisi Azizah, Nur; Rodiah, Rodiah; Setyowati, Endang; Muliyono, Nurwakhid
Jurnal Pengabdian Sosial Vol. 2 No. 9 (2025): Juli
Publisher : PT. Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/y8f8a628

Abstract

Pengabdian Masyarakat Berbasis Potensi (PMBP) merupakan salah satu bentuk kegiatan pengabdian yang dilakukan oleh mahasiswa Universitas Insan Budi Utomo Malang dalam lingkungan sekolah di Malang Selatan Kabupaten Gondanglegi. Melalui kegiatan PMBP mahasiswa dituntut dapat berperan aktif dalam melaksanakan kegiatan-kegiatan tersebut, dimana mahasiswa dapat berinteraksi, bersosialisasi dengan lingkungan sekolah di bagian Malang Selatan sehingga kegiatan PMBP tersebut berjalan dengan lancar metode yang digunakan pada kegiatan PMBP tersebut adalah metode observasi. Mahasiswa PMBP memberikan bimbingan dan penyuluhan pada sekolah SMP NU Gondanglegi untuk ikut serta dalam perencanaan, pemeliharaan, dan pelaksanaan pada kegiatan penyuluhan dan pelatihan dalam kegiatan PMBP ini berjalan lancar dan baik serta mendapatkan dukungan penuh dari pihak sekolah, dengan adanya kegiatan PMBP ini semoga siswa di daerah Malang Selatan semakin sadar dan paham bagaimana bertindak nyata dalam perkembangan zaman digital secara langsung.
PENINGKATAN KOMPETENSI GURU DALAM MENDESAIN MEDIA PEMBELAJARAN INTERAKTIF MENGGUNAKAN GENIALLY UNTUK MENDORONG PARTISIPASI SISWA Dja'far, Harmi Ibnu; Maria Cleopatra; Muhamad Juandi; M. Saltiar Kiswanto; Rodiah, Rodiah; Dede Nurhayati; Ai Rosidah
Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Vol. 3 No. 5 (2025): Oktober
Publisher : CV. Alina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jpki2.v3i5.3069

Abstract

Pengabdian ini bertujuan meningkatkan kompetensi guru dalam mendesain media pembelajaran interaktif menggunakan platform Genially untuk mendorong partisipasi siswa di SMP IT Mandiri Bersemi Cianjur. Metode pengabdian yang digunakan adalah Participatory Action Research (PAR) dengan pelatihan berbasis praktik secara hybrid (daring dan luring) yang diikuti oleh 20 guru dari berbagai mata pelajaran. Hasil pengabdian menunjukkan peningkatan signifikan pada aspek pengetahuan, keterampilan teknis, dan kemampuan penerapan media pembelajaran interaktif, serta tingkat kepuasan peserta yang sangat tinggi terhadap proses pelatihan. Simpulan, pelatihan ini efektif dalam meningkatkan kompetensi guru dan berpotensi mendorong pembelajaran aktif berbasis teknologi, meskipun diperlukan tindak lanjut pendampingan agar hasil pelatihan dapat diimplementasikan secara berkelanjutan.   Kata Kunci: Kompetensi Guru, Media Pembelajaran Interaktif, Genially, Partisipasi Siswa, Pelatihan
Recommendation system for football player recruitment using k-nearest neighbor Maukar, Maukar; Rodiah, Rodiah
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 5: October 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i5.pp3847-3857

Abstract

In modern professional football, achieving a competitive edge depends not only on on-field performance but also on effective off-field strategies, particularly in player recruitment. This study proposes a machine learning-based recommendation system to support talent identification and optimal player placement using statistical performance data. The model analyzes a wide range of features, including shots, expected goals, expected assists, pass types, offensive contributions, and defensive actions across field zones. The dataset undergoes preprocessing steps such as normalization (per 90 minutes) and dimensionality reduction. A key innovation of this research is the use of principal component analysis (PCA) to reduce feature dimensionality, minimizing redundancy while retaining essential information, which improves model efficiency and scalability. The refined data is then processed using the k-nearest neighbors (KNN) algorithm with cosine similarity, allowing the system to identify players with similar performance profiles based on directional similarity in a high-dimensional space. This combination enhances recommendation accuracy by focusing on performance structure rather than raw values. The resulting system provides actionable insights into player suitability and potential, offering clubs a data-driven tool for informed scouting and recruitment decisions. The approach demonstrates the effectiveness of combining PCA and KNN in optimizing football player recommendation systems.
Co-Authors Adji Santoso Dradjat Ai Rosidah Andri Hanafi Andri Hanafi Arnita, Windi Fahmi Arya Aji Kusuma Baiq Alfia Rahmatul Aini CLEOPATRA, MARIA Dede Nurhayati Dewi Agushinta R. Diana Tri Susetianigtias Dja’far, Harmi Ibnu Dody Pernadi Dody Pernadi Eka Patriya Endang Setyowati Ernastuti Ernastuti Ety Sutanty Febrian, Baiq Eka Fitrianingsih Fitrianingsih Hadianur, Muhammad Haswari, Nanda Ciptaning I Wayan Lanus Sumadiasa Lalu Ahmad Zaenuri LukmanHY, LukmanHY M. Saltiar Kiswanto Maukar Maukar Maukar Maukar Maulana, Alvin Muhamad Juandi Muhammad Hanif Muliyono, Nurwakhid Nariswari Mahfudhah Nur Azizah Nuralifia, Elsa Mutiara NURUL HIDAYAH Putra, Wahyuda Mandala Rini Arianty Rini Arianty Rismayuni, Rismayuni Risnawati Risnawati Saadal Jannah Sarifuddin Madenda Sholeh, Zakiah Ulfah soleha, Aisyah Putri Suni, Muhammad Asy’ Arya Suryarini Widodo Susetianingtias, Diana Tri Tri Susetianingtias, Diana Triyani, Rika Subarniati Ubudiyah, Sativa Umri, Ropizar Usiana, Shilan