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All Journal INVOTEK: Jurnal Inovasi Vokasional dan Teknologi Jurnal Mantik JATI (Jurnal Mahasiswa Teknik Informatika) JPKMI (Jurnal Pengabdian Kepada Masyarakat Indonesia) Innovative: Journal Of Social Science Research Jurnal Akademisi Vokasi Jurnal Penelitian Terapan Mahasiswa
I Wayan Pio Pratama
Information Technology, Politeknik ELBajo Commodus, Gang Ame Nompos, Labuan Bajo, Nusa Tenggara Timur, Indonesia-86754
Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Transportation Other

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Analisis Demografis Pembeli Ikan di Pasar Rakyat Batu Cermin, Labuan Bajo Kristoforus Toni Harjo; Luh G.E.A. Saputri; I Wayan Pio Pratama; Eka Sudarsana; Angling G.C Widiyanto
JURNAL AKADEMISI VOKASI Vol 3 No 2 (2024): Jurnal Akademisi Vokasi
Publisher : Pusat Penelitian dan Pengabdian Politeknik eLBajo Commodus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63604/javok.v3i2.140

Abstract

Demographic analysis of fish buyers at Batu Cermin Traditional Market, Batu Cermin Village, West Manggarai, East Nusa Tenggara, with the aim of understanding consumption patterns and community preferences. The study used a quantitative descriptive method based on primary data obtained through questionnaires from 300 respondents. The variables analyzed included gender, age, occupation, income, and type of fish purchased. The results showed that the majority of fish buyers were male (193 people), with the 17–24 age group as the dominant consumers (194 people). Based on occupation, students (157 people) were the largest group of buyers, followed by entrepreneurs (104 people). Most buyers came from low-income groups (Rp 0–1,000,000 per month, 195 people). The types of fish most commonly purchased were tembang fish (142.5 kg), layang (137.2 kg), and tuna (123.4 kg), which are popular due to their affordable prices and availability. This study shows that the Batu Cermin traditional market plays a strategic role as a source of affordable food for the community, especially for young and low-income groups. These findings can form the basis for developing policies that support local economic sustainability, increased food access, and better market management keywords: demographic analysis, fish buyer, local market, Batu Cermin , Labuan Bajo.
Blockchain Technology: A comprehensive review of technical characteristics, applications, and challenges I Wayan Pio Pratama; Ondi Asroni
Jurnal Penelitian Terapan Mahasiswa Vol 1 No 1 (2023): Jurnal Penelitian Terapan Mahasiswa
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik eLBajo Commodus

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Abstract

Blockchain technology has gained significant attention in recent years due to its potential to transform a wide range of industries. This review aims to comprehensively analyze blockchain technology's technical characteristics, applications, challenges, and limitations as addressed in academic literature published between 2014 and 2021. A total of 50 articles were included in the review after being evaluated for relevance, quality, originality, clarity, and practical or theoretical implications. The results of the review indicate that research on blockchain has progressed significantly in the past decade, with a wide range of studies exploring its technical characteristics, potential applications, and challenges and limitations. Technical characteristics of blockchain include its decentralized nature, the use of cryptographic techniques, and its potential to improve efficiency and reduce the need for intermediaries. Potential applications of blockchain include finance, supply chain management, and healthcare. Challenges and limitations of blockchain include scalability, energy consumption, regulatory issues, and risks and uncertainties. The results suggest that while blockchain technology has the potential to transform industries, there is still much work to be done to address its challenges and ensure its responsible deployment.
Standarisasi Z-Score sebagai Pendekatan Alternatif dalam Evaluasi Prestasi Akademik Mahasiswa: Studi Kasus di Politeknik eLBajo Commodus I Wayan Pio Pratama
Jurnal Penelitian Terapan Mahasiswa Vol 1 No 2 (2023): Jurnal Penelitian Terapan Mahasiswa
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik eLBajo Commodus

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Abstract

Studi ini bertujuan untuk mengevaluasi prestasi akademik mahasiswa di Politeknik eLBajo Commodus dengan menggunakan metode standarisasi Z-Score. Analisis awal dari data IPK menunjukkan variasi yang signifikan antara program studi, yang menimbulkan kebutuhan akan metode evaluasi yang lebih adil. Metode standarisasi Z-Score diaplikasikan untuk mengidentifikasi 10 mahasiswa terbaik dari berbagai program studi. Hasil standarisasi memperlihatkan daftar mahasiswa yang lebih beragam dalam representasi program studi dibandingkan daftar berdasarkan IPK mentah. Studi ini merekomendasikan penerapan metode Z-Score sebagai kriteria evaluasi prestasi akademik untuk tujuan seperti seleksi beasiswa, penghargaan akademik, dan analisis internal guna meningkatkan kualitas pendidikan.
Uncertainty and stability analysis of data-driven inversion using support vector regression I Wayan Pio Pratama
Jurnal Mantik Vol. 9 No. 4 (2026): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v9i4.6957

Abstract

This study examines learning-based inversion through the lens of inverse problem theory, focusing on uncertainty propagation, conditioning, and identifiability rather than pointwise prediction accuracy alone. Inverse estimation is formulated as a stochastic mapping in which observational noise is explicitly propagated through learned inverse models. A controlled one-dimensional nonlinear inverse problem is constructed using synthetic forward operators to systematically isolate noise-induced instability and non-uniqueness effects. For an injective nonlinear forward mapping, Support Vector Regression (SVR) with a radial basis function kernel and linear regression are trained to approximate the inverse operator from noisy observations. Monte Carlo noise propagation is employed to estimate bias and variance of inverse predictions and to compare empirical uncertainty amplification with theoretical predictions derived from local inverse conditioning. While SVR significantly outperforms linear regression in terms of inverse accuracy, the results demonstrate that inverse uncertainty is primarily governed by the conditioning of the forward operator and is modulated by model regularization. The analysis is extended to a non-injective forward operator to investigate identifiability loss in learning-based inversion. In this setting, both models collapse inherently multi-valued inverse mappings into unimodal and overconfident estimates, revealing implicit solution selection driven by data distribution and regularization. These findings show that low prediction error can be misleading in non-identifiable inverse problems. Overall, this work highlights the limitations of deterministic learning-based inversion and underscores the need for uncertainty-aware and distribution-preserving approaches when addressing ill-conditioned or non-injective inverse problems.
Co-Authors Angling Angling Galih Cahaya Widiyanto Angling G.C Widiyanto Angling G.C. Widiyanto Eka Sudarsana Eka Sudarsana I Putu Eka Sudarsana Eka Sudarsana, I Putu Fhelly Djun, Sisilia Firmanus Ardiman G.C. Widiyanto, Angling Hersanius Kurnia Peong I Putu Eka Sudarsana Kristoforus Toni Harjo Luh G.E.A. Saputri Made Dwija Oka Negara, I Marius Yosef Seran Muhammad Innuddin Ondi Asroni Putu Eka Sudarsana, I Sabatani Jangku, Wilhelmus Sudarsana, I Putu Eka Toni Harjo, Kristoforus