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Penerapan Prompt Engineering Berbasis Kecerdasan Buatan untuk Perencanaan Menu Gizi Seimbang dan Olahraga Praktis di Kelurahan Duri Kepa Jakarta Barat Herdi, Tazkiyah; Capah, Dwi Ade Handayani; Jumaryadi, Yuwan; Priambodo, Bagus
JPMTT (Jurnal Pengabdian Masyarakat Teknologi Terbarukan) Vol. 5 No. 2 (2025): Oktober
Publisher : Lembaga Penelitian Pengabdian Masyarakat Penerbitan dan Percetakan Indonesian Scholar Khiar Wafi (LPPMPP IKHAFI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54650/jpmtt.v5i2.586

Abstract

Tujuan dari pengabdian masyarakat ini adalah untuk meningkatkan kesadaran masyarakat tentang gizi seimbang, olahraga praktis, dan kecerdasan buatan (AI) sebagai alat untuk membantu dalam perencanaan gaya hidup sehat. Dalam pelatihan, teknik prompt engineering digunakan untuk membuat rekomendasi menu dan olahraga yang sesuai dengan kebutuhan individu. Unsur ibu-ibu PKK, tim PPSU, karang taruna, dan perangkat Kelurahan Duri Kepa hadir untuk mengikuti kegiatan. Metode pelaksanaan mencakup penyusunan materi, simulasi prompt engineering pada kecerdasan buatan, pelatihan luring, dan evaluasi melalui pre-test dan post-test. Hasil menunjukkan bahwa peserta lebih memahami konsep "Isi Piringku", manfaat olahraga, dan keterampilan menyusun prompt sebagai input kecerdasan buatan.
PENGENALAN UJIAN DARING DENGAN LOGIN DETEKSI WAJAH DI SMPN 206 KELURAHAN MERUYA SELATAN KOTA JAKARTA BARAT Salamah, Umniy; Farida, Ida; Nur Iman, Fauzi; Priambodo, Bagus; Jumaryadi, Yuwan
JPMTT (Jurnal Pengabdian Masyarakat Teknologi Terbarukan) Vol. 5 No. 2 (2025): Oktober
Publisher : Lembaga Penelitian Pengabdian Masyarakat Penerbitan dan Percetakan Indonesian Scholar Khiar Wafi (LPPMPP IKHAFI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54650/jpmtt.v5i2.588

Abstract

Semakin berkembangnya teknologi informasi di tahun 2025 tidak lupa dunia pendidikan juga tidak luput mengikuti perkembangan teknologi informasi, dimana aktifitas belajar mengajar sudah banyak menggunakan teknologi informasi. Selain perkembangan Teknologi yang saat ini sedang pesat, tentunya tidak terlepas dari segi keamanan digital. Dalam hal ini contoh dari teknologi keamanan digital yang saat sering digunakan adalah Face Recognition. Maka ketika majunya teknologi tidak luput untuk adanya pengamanan digital dalam segala aktifitas. Dengan uraian tersebut maka tujuan dari Pengabdian ini, Mengenalkan aplikasi ujian daring menggunakan deteksi wajah ke pihak sekolah, memberikan sedikit pemahaman bagaimana aplikasi ujian daring dengan menggunakan deteksi wajah dapat dibuat atau dibangun dengan menggunakan algoritma dan Bahasa pemrograman dan memudahkan pihak sekolah agar lebih mudah dalam pemberian tugas, kuis dan evaluasi akhir. Sedangkan beberapa harapan luaran yang ingin dicapai adalah menambah wawasan deteksi wajah pada keamanan sebuah system, menambah wawasan aplikasi ujian daring, meningkatkan kreatifitas dan ide untuk nantinya dalam pengembangan aplikasi ujian daring dengan penggunaan deteksi wajah dan diharapkan pada pengabdian masyarakat kali ini dapat memberikan pengalamannya kepada siswa dan guru di sekolah lain yang belum dapat berkesempatan mengikuti Pengabdian Masyarakat kali ini.
Machine Learning Approaches to Sentiment Analysis of Mental Health Discussions on Platform X Jumaryadi, Yuwan; Fajriah, Riri; Salamah, Umniy; Priambodo, Bagus; Lystha, Arie
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 13 No. 2 (2025): September 2025
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v13i2.11350

Abstract

Sentiment analysis on mental health issues is crucial for understanding public perceptions of healthcare services. This study analyzed tweets related to mental health on platform X in 2025 using SVM, Random Forest, and Naive Bayes algorithms. Data was collected through web scraping with Python, then evaluated using a confusion matrix with accuracy, precision, f1-score, and recall metrics. The classification results showed a distribution of sentiment: positive (3,667 tweets), neutral (838 tweets), and negative (704 tweets). A comparative analysis of the three algorithms revealed that SVM achieved the highest accuracy (78.69%), followed by Random Forest (75.04%) and Naive Bayes (70.44%), proving the superiority of SVM in classifying mental health sentiment. These findings provide valuable insights for stakeholders in improving mental healthcare services based on public feedback, while also offering a reference for effective sentiment analysis methods for social media data.
Pemanfaatan Visualisasi Data Untuk UMKM TKI di PERMAI Malaysia Priambodo, Bagus; Harwikarya, Harwikarya; Jumaryadi, Yuwan
Journal of Social Responsibility Projects by Higher Education Forum Vol 5 No 2 (2024): November 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jrespro.v5i2.5453

Abstract

In the contemporary landscape of small businesses, the effective interpretation of data has emerged as a crucial driver for informed decision-making and sustainable growth. The main task of our activity is to explain with delves the benefits of data visualization for small businesses, exploring the transformative potential it holds for enterprises operating on a smaller scale. The essence of data visualization lies in its ability to convert complex data sets into accessible and comprehensible visual representations. Small businesses, often faced with resource constraints, can leverage these visualizations to extract meaningful insights, identify trends, and make strategic decisions that align with their objectives. This exploration encompasses the significance of data visualization tools and techniques tailored for small business contexts. As small businesses navigate the intricacies of their operational environment, this program community services underscores the practical applications of data visualization. It sheds light on how visual representations of financial data, market trends, and customer behaviors can empower small business owners to make timely and well-informed decisions. The aim of this community service activity is to explain data visualization to SMEs who work as migrant workers (TKI) on Penang Island, Malaysia.
The Influence of Shade Tree Diversity on Natural Enemy Communities and Microclimate in Coffee Agroforestry Systems Dewi, Nilasari; Kurnianto, Agung Sih; Haryadi, Nanang Tri; Rosita, Mitayuni Faur; Guretno, Titus Krido; Febrianti, Wanda Hamidah Zakiyah; Khowatini, Husnul; Priambodo, Bagus
The Journal of Experimental Life Science Vol. 15 No. 3 (2025)
Publisher : Graduate School, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jels.2025.015.03.04

Abstract

Coffee agroforestry is an integrated farming system that combines coffee cultivation with the planting of shade trees. While it is well-established that vegetation diversity can support populations of natural enemies, few studies have investigated how varying levels of vegetation diversity interact with microclimatic conditions to influence insect community dynamics. Conducted in Desa Pace, Jember, East Java, the research compares simple and complex agroforestry systems in terms of their vegetation structure and the resulting impacts on natural enemy diversity. Field sampling was carried out in May, July, and September using yellow pan traps, accompanied by microclimatic measurements. Results revealed that the simple agroforestry had greater vegetation diversity. However, the Shannon-Wiener Index for vegetation was 0.94 in the complex system and 0.56 in the simple system, while the diversity of natural enemies was identical (1.70) in both systems. Microclimatic factors played a key role, with the simple having higher humidity and the complex exhibiting higher temperatures. These findings underscore that higher vegetation diversity does not always correspond to increased diversity among natural enemies, pointing to the influence of other ecological and environmental factors in shaping these communities. The study highlighted the importance of selecting appropriate shade vegetation to support sustainable and climate-resilient coffee agroforestry systems.
Optimalisasi Produksi Lele Melalui Inovasi Pakan Mandiri Berbahan Bee Wax: Program Pelatihan bagi Peternak Lokal Desa Banjarejo Kabupaten Kediri Witjoro, Agung; Wibowo, Agung; Priambodo, Bagus; Kusmayadi, Claresia Tsany; Sa'diyah, Halimatus
Jurnal Pengabdian UNDIKMA Vol. 7 No. 1 (2026): February
Publisher : LPPM Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jpu.v7i1.18240

Abstract

This community service program aims to optimize catfish production through training on innovative self-produced feed formulated with beeswax for local farmers in Banjarejo Village. The program also seeks to enhance farmers’ knowledge and skills in developing alternative feed formulations that are both economical and of high quality. The implementation method employed was Participatory Rural Appraisal (PRA), encompassing stages of problem identification, preparation, implementation, and evaluation. Data were analyzed using a qualitative descriptive approach based on observations and interviews. The results indicate an improvement in farmers’ knowledge and technical skills in producing cost-efficient feed supplemented with beeswax, as well as their ability to operate feed-molding equipment. In addition to reducing dependence on commercial feed, the program promotes cost efficiency and strengthens farmers’ readiness to produce feed independently. Overall, the beeswax-based self-feed training proved effective in enhancing group capacity and reinforcing the economic self-reliance of catfish farmers at the community level.
Transoceanic Disperse of the White-lipped Island Pit Viper (Cryptelytrops insularis; Kramer,1997) from Sundaland to Lesser Sunda, Indonesia Priambodo, Bagus; Liu, Fu-Guo Robert; Kurniawan, Nia
The Journal of Experimental Life Science Vol. 9 No. 1 (2019)
Publisher : Graduate School, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1141.019 KB) | DOI: 10.21776/ub.jels.2019.009.01.02

Abstract

White-lipped island pit viper (Cryptelytrops insularis) is one of the most distributed Viperidae in Indonesia, especially in eastern part of Sundaland and Lesser Sunda. To investigate the evolutionary history and the dispersal pattern of C. insularis, we collected 23 samples from 11 localities. Four simultaneous genes composing two mitochondrial genes (16S rRNA & ND4) and two nuclear genes (7IβFIB & 3ITBP) have been successfully amplified and sequenced. Bayesian inference was performed to reconstruct the phylogeny tree. Furthermore, time divergence and the population demography analyses were estimated. The phylogeny tree of C. insularis exhibits monophyletic group, with four geographically structured lineages. The time divergence estimation indicated that C. insularis evolved at approximately 7 million years ago (mya). Population demography was inferred by Bayesian Skyline Plot analysis, it shows that the population increased constantly from the past to recent time. The evolutionary history of C. insularis can be explained by a pattern of the time divergences estimation that indicating movement from West (Java) to East (Lesser Sunda). We expected that the dispersal factor of C. insularis into many different islands (in Lesser Sunda) is caused by the animal helped and also oceanic rafting which could be the stepping stones to another island.  Keywords: Cryptelytrops insularis, dispersal patterns, phylogeny, population demography, time divergence