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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) Infoman's: Jurnal Ilmu-Ilmu Manajeman dan Informatika JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) Journal of Robotics and Control (JRC) BERNAS: Jurnal Pengabdian Kepada Masyarakat JAMI: Jurnal Ahli Muda Indonesia Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) Jurnal Ilmu Komputer dan Teknologi (IKOMTI) Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Formosa Journal of Computer and Information Science Journal of Multimedia Trend and Technology Literasi: Jurnal Pengabdian Masyarakat dan Inovasi Jurnal Pengabdian dan Pemberdayaan Masyarakat Indonesia
Dhanar Intan Surya Saputra
Universitas Amikom Purwokerto
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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Implementasi Rendering Eevee pada Pengembangan Intellectual Property 3D Karakter Rempah Dhanar Intan Surya Saputra; Ely Purnawati; Deden Winanto; Hellik Hermawan
Jurnal IT UHB Vol 4 No 1 (2023): Jurnal Ilmu Komputer dan Teknologi
Publisher : Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/ikomti.v4i1.1197

Abstract

Pengembangan karakter 3D berbasis Intellectual Property (IP) telah mengalami perkembangan pesat dalam industri hiburan. Dalam konteks ini, teknologi rendering memainkan peran penting dalam menciptakan karakter 3D berkualitas tinggi yang memukau. Artikel ini menginvestigasi implementasi teknologi rendering real-time Eevee dalam pengembangan IP karakter 3D berupa karakter Rempah. Pendekatan mixed methods digunakan untuk menganalisis dampak Eevee terhadap tahapan-tahapan pengembangan, termasuk pra produksi, produksi, dan paska produksi. Hasil penelitian menyoroti keuntungan Eevee dalam memberikan visualisasi real-time yang memungkinkan eksplorasi kreatif yang lebih luas dalam tahapan modeling dan produksi. Pengujian menunjukkan bahwa Eevee dapat mempercepat waktu render dengan hasil yang memuaskan. Penelitian ini menghasilkan wawasan tentang bagaimana teknologi rendering Eevee dapat membentuk karakter 3D berkualitas tinggi, memberikan rekomendasi praktis dan saran penelitian selanjutnya bagi para pengembang dan desainer karakter 3D yang berminat memanfaatkannya dalam pengembangan karakter berbasis IP.
2-Dimensional Digital Animation Model for Public Health Socialization Assets Ito Setiawan; Dhanar Intan Surya Saputra; Muhamad Faris Fakhrizal; Hellik Hermawan
Journal of Multimedia Trend and Technology Vol. 2 No. 2 (2023): Journal of Multimedia Trend and Technology
Publisher : Universitas Amikom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35671/jmtt.v2i2.36

Abstract

Health is a very important aspect of human life. Human health will ensure that their lives continue to run well in everyday life in society. Currently, education about public health has been carried out in many ways by health agencies, from education by providing direct counseling to counseling using digital technology. However, not all health agencies have carried out health education through digital technology, one of which is the health agency at the Kaliwadas Community Health Center, where the agency has a problem where the staff at the agency have human data source competency and is still lacking competent in creating health education content for the public. This hampers public health education. The aim of this research is to create a digital content template to help simplify and speed up the production of health education content at the Kaliwadas Community Health Center. The method in this research uses the waterfall method which takes Sayanto as a reference, where this method consists of 3 stages, namely pre-production, production, and post-production.
INTEGRATING AHP IN BIG DATA RISK MANAGEMENT FOR FINANCIAL INSTITUTIONS: A SYSTEMATIC APPROACH Nurwita Widyastuti; Taqwa Hariguna; Dhanar Intan Surya Saputra
Multidiciplinary Output Research For Actual and International Issue (MORFAI) Vol. 5 No. 3 (2025): Multidiciplinary Output Research For Actual and International Issue
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/morfai.v5i3.3991

Abstract

The big data revolution has reshaped risk management paradigms in the financial sector while introducing complex, dynamic, and multidimensional risk challenges. This study regularly examines the integration of the Analytic Hierarchy Process (AHP) into big data risk management for financial institutions through a Systematic Literature Review (SLR) using the PRISMA protocol, covering publications from the past decade. Findings indicate that AHP—in both classical and modified forms such as Fuzzy AHP and AHP-DEA—effectively structures hierarchical risk frameworks that integrate quantitative criteria (probability, financial impact) and qualitative aspects (reputation, compliance). Big data integration enriches the weighting process with real-time data from internal sources, markets, and public sentiment, thereby reducing subjective bias and enhancing decision reliability. This approach enables adaptive risk prioritization in response to market and regulatory changes, overcoming the limitations of static AHP models and supporting more holistic, measurable risk mitigation. The results underscore that the AHP–big data framework offers financial institutions a competitive advantage through rapid, evidence-based, objective, and sustainability-oriented decision-making.
Lecturer Performance Prediction Based on Student Evaluation Data Using a Hybrid K-Means and Random Forest Model Heri Subangkit; Taqwa Hariguna; Dhanar Intan Surya Saputra
Jurnal Penelitian Pendidikan IPA Vol 12 No 1 (2026)
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i1.14163

Abstract

Using a quantitative correlational design, this predictive research was based on secondary EDOM data. The first episode of the school year 2024/2025 served as the data collection period. The target population of this research are the lecturer subjected to students’ evaluations from Universitas Al-Irsyad Cilacap. After processing the data and cleaning and aggregating, a total of 594 records of the lecturer were analyzed with a census technique. K-Means was used to detect the presence of latent patterns of performance in the teaching, professional, personality and social dimensions of the lecturer. The Random Forest model was used to predict the performance category of the lecturer from both the baseline and hybrid models. The results of the study showed that the hybrid models were able to predict with a high measure of accuracy, and of the two, the hybrid model was the most robust when compared to the baseline model with a manual high-defined grouping of performance levels. The baseline model was able to completely and perfectly classify the group, the hybrid model with high performance was able to analyze the data in a general way, revealing a structure of performance that was hidden in the data. This means that, there is greater analytical value to the data. This analysis of EDOM data is of high analytical value. The developing of the hybrid model of lecturer performance analysis provides a positive contribution in data-driven quality assurance and decision-making to higher education. Objectives were met.
Co-Authors Abdul Azis Abednego Dwi Septiadi Agung David Pamungkas Al Hafidz Hanifan Islahi Andik Wijanarko Anwar Budhi Dharmawan Argiyan Dwi Pritama Azhar Fadholi Deden Winanto Didit Suhartono Doni Fajar Ramadan Ely Purnawati Feni Oktafiani Hellik Hermawan Heri Subangkit Ikhwan Fahrial Selofianto Ircham Mutaqin Ito Setiawan Iwan Setyawan Kuat Indartono Moh Inwan Baikuni Muhamad Faris Fakhrizal Muhammad Ibnu Aqil Nurwita Widyastuti Raihan Zein Riyanto Riyanto Salsa Maulidya Rahmi Septiana Budi Rahayu Sitaresmi Wahyu Handani Taqwa Hariguna Tegar Insani Tiara Misti Indriani Trian Damai Uswatun Khasanah