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All Journal Journal of Tropical Life Science : International Journal of Theoretical, Experimental, and Applied Life Sciences Jurnal Psikologi The Journal of Experimental Life Sciences (JELS) Biotropika Jurnal sistem informasi, Teknologi informasi dan komputer Knowledge Engineering and Data Science International Journal of Community Service Learning Biota Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika JIKA (Jurnal Informatika) Jurnal Graha Pengabdian Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Journal of Social Responsibility Projects by Higher Education Forum Jurnal Pengabdian Masyarakat - Teknologi Digital Indonesia Dedikasi Nusantara: Jurnal Pengabdian Masyarakat Pendidikan Dasar Jurnal Pengabdian Masyarakat Nasional JPMTT (Jurnal Pengabdian Masyarakat Teknologi Terbarukan)
Bagus Priambodo
Fakultas Psikologi Universitas Diponegoro
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Neuroscience Physics Social Sciences Other

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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.
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
Earthquake Magnitude and Grid-Based Location Prediction using Backpropagation Neural Network Priambodo, Bagus; Mahmudy, Wayan Firdaus; Rahman, Muh Arif
Knowledge Engineering and Data Science
Publisher : citeus

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

Abstract

Earthquakes, a type of inevitable natural disaster, is responsible for the highest average death toll per year compared to other types of a natural disaster. Even though it is inevitable, but it can be anticipated to minimize damage and casualties, such as predicting the earthquake‘s magnitude using a neural network. In this study, a backpropagation algorithm is used to train the multilayer neural network to weekly predict the average magnitude of earthquakes in grid-based locations in Indonesia. Based on the findings in this research, the neural network is able to predict the magnitude of earthquakes in grid-based locations across Indonesia with a minimum error rate of 0.094 in 34.475 seconds. This best result is achieved when the neural network is trained for 210 epochs, with 16 neurons used in the input and output layer, one hidden layer consisted of 5 neurons and a learning rate of 0.1. This result showed backpropagation has pretty good generalization capability in order to map the relations between variables when mathematical function is not explicitly available.
Psychometric Validation of a Two-Factor Self-Report Instrument for Science Process Skills-Related Behaviors in Indonesian High School Students Astutik, Yuli; Zubaidah, Siti; Priambodo, Bagus
Jurnal Penelitian dan Pengkajian Ilmu Pendidikan: e-Saintika Vol. 10 No. 2 (2026): July
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/e-saintika.v10i2.6140

Abstract

Science process skills (SPS) are central to scientific inquiry, yet instruments designed to assess SPS-related constructs require empirical evidence that their measurement structure corresponds to their intended interpretation. In Indonesia, SPS instruments have often emphasized expert-based content validation, while evidence concerning the latent structure of self-reported SPS-related behaviors remains limited. This study developed and psychometrically evaluated a two-dimensional self-report instrument assessing senior high school students’ reported engagement in behaviors associated with Basic Science Process Skills (BSPS) and Integrated Science Process Skills (ISPS). A total of 830 tenth-grade students from East Java, Indonesia, were allocated to three independent samples: preliminary analysis (n = 166), exploratory factor analysis (EFA; n = 339), and confirmatory factor analysis (CFA; n = 325). The EFA data were suitable for factor analysis (KMO = 0.964; Bartlett’s χ²(595) = 7,345.301, p < .001). Parallel analysis, eigenvalue examination, scree-plot inspection, and theoretical interpretability supported a two-factor solution. Seven items were removed, yielding a 28-item instrument that explained 49.8% of the total variance. Because Mardia’s tests indicated multivariate nonnormality, CFA was estimated using robust maximum likelihood. The correlated two-factor model demonstrated acceptable fit, χ²(349) = 768.321, p < .001, CFI = 0.925, TLI = 0.919, RMSEA = 0.061, 90% CI [0.055, 0.067], and SRMR = 0.045. AVE values were 0.510 for BSPS and 0.540 for ISPS, while HTMT was 0.805. Cronbach’s alpha and McDonald’s omega ranged from 0.928 to 0.962, with composite reliability ranging from 0.979 to 0.993. The findings support two closely related yet empirically distinguishable dimensions of self-reported SPS-related behavior. The instrument should therefore be interpreted as assessing reported behavioral engagement rather than demonstrated SPS competence. Generalization beyond comparable student populations should remain cautious because participants were recruited purposively from East Java.
Co-Authors Abdul Kholiq Adiba, Faisal Yanuar Agung Priambodo Agung Sih Kurnianto Ahmad Muammar Kadafi Aji, Fajar Dwi Nur Amin, Ahya Zhilalikbar AMIR HAMIDY Anasanti, Mila Desi Andri Maulidi Aninnas, Afina Nur Anita Listiara Anita Ratnasari Ariyatma, Rama Dona Ayumi, Vina Capah, Dwi Ade Handayani Dandung, Muhamad Irvan Danny Yudin Djahidin Dewi, Nilasari Dwi Nur Aji, Fajar Erfanda, Muhamad Prayogi Fahmi, Muhamad Fatiqin, Awalul Fauzi Nur Iman Fauzi, Muhammad Alif Febrianti, Wanda Hamidah Zakiyah Firdaus, Anggun Sausan Firmansyah, Richo Fitra Arya Dwi Nugraha Gunawan Gunawan Gunawan Guretno, Titus Krido Harwikarya Harwikarya Hery Widijanto I Wayan Sumberartha Ida Farida Inge Handriani Jumaryadi, Yuwan Khowatini, Husnul Liu, Fu-Guo Robert Maulana, Irwan Misbahul Fajri Muh Arif Rahman Naima, Faaza Nanang Tri Haryadi Nia Kurniawan Nia Rahma Kurnianda, Nia Rahma Noprisson, Handrie Panjaitan, Bosar Permana, Danafia Pranata, Dicky Candra Prihatnawati, Yayuk Ristanto, Yuri Rosita, Mitayuni Faur Salamah , Umniy Salamah, Umniy Sari, Yunita Sartika Sembiring, Rinawati Sianturi, Heriston Siti Zubaidah Sitorus, Berlin P Smith, Eric Nelson Sukarno Bahat Nauli Susanto, Muhamad Azmi Dwi Tazkiyah Herdi Tri Puji Astuti Turkhamun Adi Kurniawan Vivi Novianti Wardiman, Delaila Rosa Wayan Firdaus Mahmudy Widiyoga, Ganjar Yanuar Adiba, Faisal Yuli Astutik Zico Pratama Putra