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All Journal RABIT: Jurnal Teknologi dan Sistem Informasi Univrab 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) Jurnal Sistem Komputer dan Informatika (JSON) Community Development Journal: Jurnal Pengabdian Masyarakat BERNAS: Jurnal Pengabdian Kepada Masyarakat JAMI: Jurnal Ahli Muda Indonesia JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) 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 Algoritma Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Journal of Computers and Digital Business Formosa Journal of Computer and Information Science Journal of Multimedia Trend and Technology Literasi: Jurnal Pengabdian Masyarakat dan Inovasi Student Scientific Creativity Journal Jurnal Pengabdian dan Pemberdayaan Masyarakat Indonesia
Dhanar Intan Surya Saputra
Universitas Amikom Purwokerto
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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.
PELATIHAN PENGGUNAAN SPSS UNTUK ANALISIS DATA PENELITIAN TERINDEKS SCOPUS Dhanar Intan Surya Saputra; Sri Widiastuti; Muratno Muratno; Fadly Yashari Soumena; Hendra Sudarso; Riny Riny
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 6 (2024): Vol. 5 No. 6 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i6.37089

Abstract

Pelatihan Penggunaan SPSS untuk Analisis Data Penelitian Terindeks Scopus diadakan sebagai respons terhadap meningkatnya kebutuhan akan keterampilan analisis data yang akurat dan sesuai standar internasional di kalangan peneliti. Publikasi ilmiah yang terindeks di jurnal bereputasi seperti Scopus membutuhkan metodologi analisis yang tepat, yang hanya dapat dicapai dengan pemahaman mendalam tentang perangkat lunak statistik seperti SPSS. Pelatihan ini diikuti oleh 32 peserta yang berasal dari berbagai latar belakang akademik dan profesional, bertujuan untuk membekali mereka dengan keterampilan analisis yang dibutuhkan dalam menyusun penelitian berkualitas tinggi. Metode pelatihan mencakup penyampaian materi secara sistematis, praktik langsung dengan studi kasus, dan evaluasi akhir untuk mengukur pemahaman peserta. Hasil menunjukkan peningkatan signifikan dalam pemahaman dan keterampilan peserta dalam menggunakan SPSS, terutama dalam hal pemilihan uji statistik yang tepat dan interpretasi data. Kesimpulannya, pelatihan ini efektif dalam membantu peserta meningkatkan kualitas penelitian mereka, yang diharapkan dapat memenuhi standar publikasi internasional. Hasil ini menegaskan pentingnya pelatihan teknis yang terstruktur untuk mendukung kemampuan analisis data yang lebih baik di kalangan peneliti.
Proses Editing Video Podcast Menggunakan Perangkat Lunak Adobe Premiere Pro untuk Meningkatkan Konten Digital di Kanal YouTube Ampu Studio Khanif Haryadi; Dhanar Intan Surya Saputra
Student Scientific Creativity Journal Vol. 4 No. 3 (2026): Student Scientific Creativity Journal
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/sscj-amik.v4i3.6134

Abstract

The development of digital content on the YouTube platform encourages creators to produce more engaging and informative podcast videos through the editing process. This study discusses the video podcast editing workflow of the Tikitalk program on the Ampu Studio YouTube channel using Adobe Premiere Pro. This research also aims to understand how the editing stages are carried out in improving the quality of video podcast presentation. The research method used is descriptive qualitative through direct observation during internship activities, so that the data is obtained based on real field experience. The results of the study show that the editing process, such as video cutting, transition settings, audio adjustment, audio censoring, and the addition of motion graphics, can significantly improve the quality of video podcast presentation. In addition, this process also helps make the content more organized, informative, and engaging for viewers. Thus, the role of the editor in the production process is very important in supporting the quality of digital content on the YouTube platform. Therefore, it can be concluded that editing is not only a technical process, but also an important part in increasing the attractiveness and professionalism of a video podcast.
Arsitektur Sistem Streaming Efisiensi Tinggi: Integrasi Hardware dan Manajemen Jalur Konektivitas dalam Produksi Podcast Dendi Putra Prakoso; Dhanar Intan Surya Saputra
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 5 No. 1 (2026): Juni 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v5i1.1061

Abstract

Perkembangan teknologi digital telah mendorong peningkatan popularitas podcast sebagai media komunikasi, hiburan, dan edukasi. Produksi podcast modern tidak hanya memerlukan kualitas audio dan video yang baik, tetapi juga sistem streaming dan recording yang efisien dan stabil. Penelitian ini membahas arsitektur sistem streaming efisiensi tinggi melalui integrasi perangkat keras (hardware) dan jaringan komputer (networking) dalam proses produksi podcast. Metode yang digunakan berupa studi literatur dan analisis implementasi sistem streaming berbasis komputer multi-perangkat. Hasil penelitian menunjukkan bahwa arsitektur dual-PC dengan manajemen routing antarmuka (HDMI, PCIe, USB) dapat mendistribusikan beban kerja secara efisien tanpa mengurangi kualitas produksi.Integrasi antara perangkat capture, audio interface, encoder, dan manajemen bandwidth menjadi faktor utama dalam menciptakan sistem produksi podcast yang optimal dan hemat sumber daya.
Pengembangan dan Evaluasi Usability Web Multimedia Interaktif Alat Musik Tradisional Menggunakan SUS Nauval Rizky Ramadhan; Dhanar Intan Surya Saputra
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 7 No. 4 (2026): Juni 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v7i4.9745

Abstract

Pengenalan alat musik tradisional Indonesia melalui media digital pada umumnya masih bersifat statis dan kurang interaktif, sehingga keterlibatan pengguna secara aktif menjadi terbatas. Penelitian ini bertujuan membangun media edukasi multimedia interaktif berbasis web bernama MuSantara yang memadukan teks, gambar, audio, peta interaktif berbasis Scalable Vector Graphics (SVG), dan kuis interaktif dalam satu platform terintegrasi. Evaluasi usability sistem dilakukan menggunakan instrumen System Usability Scale (SUS). Proses pengembangan sistem mengacu pada model Waterfall dalam kerangka Software Development Life Cycle (SDLC) yang meliputi tahapan analisis kebutuhan, perancangan, implementasi, dan pengujian. Evaluasi melibatkan 56 responden yang terdiri dari kelompok pelajar, mahasiswa, dan masyarakat umum. Hasil evaluasi menunjukkan skor rata-rata SUS sebesar 81,83 yang termasuk dalam kategori Acceptable, dengan 85,71% responden memberikan penilaian tertinggi. Temuan ini mengindikasikan bahwa sistem mudah dioperasikan, mudah dipahami, serta mampu menghadirkan pengalaman interaksi yang positif bagi kelompok pengguna yang terlibat. Penelitian ini berkontribusi pada pengembangan media edukasi multimedia interaktif berbasis web yang terukur secara usability dengan instrumen terstandarisasi.
ANALISIS PROFILING KINERJA DOSEN BERBASIS ALGORITMA CLUSTERING: STUDI KASUS DATA EVALUASI MAHASISWA (EDOM) Heri Subangkit; Taqwa Hariguna; Dhanar Intan Surya Saputra
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 1 (2026): Januari
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i1.7455

Abstract

Lecturer quality is a key factor determining the success of a higher education institution. Although EDOM assessment is crucial for performance, large data processing often does not provide sufficient strategic information. This study utilizes a no-learning method to profile lecturer performance. K-Means and Fuzzy C-Means (FCM) are two clustering algorithms that are compared with four competency variables. These variables are pedagogical, professional, social, and personality. The results show that there are three ideal clusters (k = 3) which are categorized as "Very Good", "Good", and "Fair" performance groups, respectively. The K-Means algorithm produces a Silhouette Score of 0.507. However, FCM is more flexible in determining the number of data transition members required. The profiling results show that pedagogical competence is the variable with the lowest score in the "Fair" cluster. The findings of this study suggest that, to improve the quality of educational services, lecturers in the cluster need to undergo training related to teaching methods.
Social Commerce Optimization for Banyumas MSMEs on Shopee and Tokopedia: A Mixed-Methods Approach Rizqi Faturohman; Dhanar Intan Surya Saputra; Retno Waluyo
Journal of Computers and Digital Business Vol. 5 No. 2 (2026)
Publisher : PT. Delitekno Media Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56427/jcbd.v5i2.994

Abstract

The development of social commerce has accelerated the transformation of the digital business ecosystem for Micro, Small, and Medium Enterprises (MSMEs) in Indonesia, particularly through marketplace platforms such as Shopee and Tokopedia. This study aims to analyze the effect of social commerce optimization on the competitiveness of MSMEs in Banyumas Regency and identify strategic factors supporting digital business transformation. The research employed a mixed-methods approach with a sequential explanatory design integrating quantitative and qualitative methods. Quantitative data were collected through questionnaires distributed to 120 MSMEs actively using Shopee and Tokopedia, while qualitative data were obtained through semi-structured interviews with 12 informants consisting of MSME actors, digital marketing practitioners, MSME communities, and academics. The results of simple regression analysis indicate that social commerce significantly affects MSME competitiveness (β = 0.684; p < 0.001), with a coefficient of determination (R²) of 0.468, indicating that social commerce contributes 46.8% to improving MSME competitiveness. The findings reveal that live shopping features, affiliate marketing, customer reviews, and social media integration significantly enhance customer engagement, digital branding, and market expansion. This study contributes to the development of a social commerce optimization framework based on customer engagement and digital branding to strengthen MSME competitiveness within the digital economic ecosystem.
Co-Authors Abdul Azis Abednego Dwi Septiadi Agung David Pamungkas Al Hafidz Hanifan Islahi Aldrian Firmansyah Putranto Ananda Putra Herlambang Andik Wijanarko Anwar Budhi Dharmawan Argiyan Dwi Pritama Azhar Fadholi Banu Dwi Putranto Berlilana Berlilana Deden Winanto Dendi Putra Prakoso Didit Suhartono Doni Fajar Ramadan Ely Purnawati Erina Setyawati Fadly Yashari Soumena Feni Oktafiani Hellik Hermawan Hendra Sudarso Heri Subangkit Ikhwan Fahrial Selofianto Ircham Mutaqin Irma Darmayanti Ito Setiawan Iwan Setyawan Khanif Haryadi Kuat Indartono Moh Inwan Baikuni Muhamad Faris Fakhrizal Muhammad Ibnu Aqil Muratno Muratno Nauval Rizky Ramadhan Nurwita Widyastuti Raihan Zein Retno Waluyo Riny Riny Riyanto Riyanto Rizqi Faturohman Salsa Maulidya Rahmi Septiana Budi Rahayu Sitaresmi Wahyu Handani Sri Widiastuti Taqwa Hariguna Tegar Insani Tiara Misti Indriani Trian Damai Uswatun Khasanah