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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Infotronik : Jurnal Teknologi Informasi dan Elektronika Jurnal Mantik Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi INFORMASI (Jurnal Informatika dan Sistem Informasi) Abdi Laksana : Jurnal Pengabdian Kepada Masyarakat Media Jurnal Informatika INOTEK VISA: Journal of Vision and Ideas INOVTEK Polbeng - Seri Informatika
Herwanto, Patah
STMIK IM, Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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Penerapan Metode Design Thinking dalam Perancangan UI/UX pada Aplikasi Pintebs Kursus Online Bisnis dan Teknologi Syukur, Moh Rezky; Muhammad, Dian; Chairuddin, Chairuddin; Herwanto, Patah
VISA: Journal of Vision and Ideas Vol. 4 No. 3 (2024): VISA: Journal of Vision and Ideas
Publisher : IAI Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/visa.v4i3.4209

Abstract

This article discusses the importance of designing user interface (UI) and user experience (UX) in mobile-based online course applications. In the introduction, the role of technology in learning, particularly online courses that enable remote learning interaction, is outlined. The literature review covers the concepts of UI, UX, and design thinking as a user-centered design methodology. The design thinking method is employed in the UI design of the online course application, encompassing the stages of empathy, problem definition, ideation, prototyping, and testing. The discussion results indicate that this approach is effective in generating UI/UX designs that align with user needs. Well-designed UI/UX facilitates user interaction and enhances their learning experience within the online course application. The conclusion of this article emphasizes the importance of user-centered UI/UX design in the development of online course applications to maximize the user's learning experience. The design thinking method has proven to be an effective approach in producing innovative designs that cater to user requirements.
Peningkatan Literasi Stem Digital Natives Melalui Simulasi Eksperimen Drone Modular Berbasis Project-Based Learning Setyawan, Muhammad Yusril Helmi; Putratama, Virdiandry; Herwanto, Patah
Abdi Laksana : Jurnal Pengabdian Kepada Masyarakat Vol 7 No 1 (2026): Abdi Laksana : Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/abdilaksana.v7i1.58035

Abstract

Pelatihan pembelajaran drone modular ini bertujuan untuk meningkatkan literasi STEM (Sains, Teknologi, Teknik, dan Matematika) di kalangan generasi digital di SMKN 1 Rancaekek melalui penerapan kerangka kerja pendidikan terintegrasi berbasis proyek. Program ini menekankan pendekatan experiential learning dengan menggabungkan pemahaman teoritis dan eksperimen praktis secara terpadu, sehingga peserta tidak hanya memahami konsep, tetapi juga mampu mengimplementasikannya secara nyata dalam bentuk kegiatan perakitan dan simulasi penerbangan. Peserta dilibatkan secara aktif dalam proses pembuatan drone modular menggunakan rangka F330, mikrokontroler Arduino Uno, sensor IMU MPU-6050, ESC 30A, motor brushless A2212 1000KV, baling-baling 8045, serta baterai Li-Po 3S 2200 mAh yang dikendalikan oleh firmware MultiWii. Melalui konfigurasi tersebut, peserta diajak untuk mengeksplorasi konsep-konsep penting seperti aerodinamika, propulsi, kontrol stabilitas, dan antarmuka elektronik dengan cara yang menarik, aplikatif, dan relevan dengan dunia industri teknologi. Pelaksanaan kegiatan terdiri atas tiga fase utama, yaitu pemaparan materi, praktik perakitan drone dari awal hingga berfungsi, dan evaluasi, yang dirancang untuk menumbuhkan kemampuan kognitif, psikomotorik, dan afektif secara seimbang. Selain itu, evaluasi dilakukan melalui penilaian pra-pasca pelatihan, rubrik proyek, lembar observasi, serta kuesioner kepuasan untuk mengukur pemahaman, kreativitas, dan kemampuan pemecahan masalah peserta dalam menerapkan prinsip-prinsip STEM melalui teknologi drone sebagai media pembelajaran inovatif di era digital.
Comprehensive Analysis: A Review of Loan Origination Systems from Information Systems and Regulatory Perspectives Saleh, R. Ali Fajar; Herwanto, Patah; Nasution, Harmansyah
INOVTEK Polbeng - Seri Informatika Vol. 11 No. 1 (2026): February
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/s2302h34

Abstract

The Loan Origination System (LOS) has become a key infrastructure in Indonesia’s digital mortgage lending ecosystem, where technological innovation increasingly intersects with regulatory governance. This study examines LOS through an integrated perspective that bridges information systems architecture and legal-regulatory frameworks. Using a qualitative normative-analytical approach grounded in systematic document analysis (2021–2026) and thematic synthesis, the research identifies a triple-layer compliance gap: a regulatory gap in technical specification, an implementation gap between regulatory intent and system design, and a legal defensibility gap concerning evidentiary robustness. The study proposes a conceptual legal-by-design framework integrating technical security, regulatory alignment, and evidentiary considerations within a unified architectural model. Rather than offering a validated industry standard, the framework serves as an analytical proposal to inform future empirical research and institutional system development.
Performance enhancement of embedded object detection via neural hardware acceleration Alwin Hartono Limaran; Agung Wicaksono; Patah Herwanto
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 24, No 1: February 2026
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v24i1.27448

Abstract

This paper presents the first benchmarking of you only look once version 11 (YOLO11) on the Rockchip RK3566 neural processing unit (NPU) within the Orange Pi 3B platform. Performance was compared between the quad-core ARM Cortex-A55 CPU and the integrated NPU using the COCO2017 dataset, evaluating latency, energy, and accuracy. NPU acceleration achieved >80% latency reduction and ≈ 94% lower per-inference energy consumption, with speedup of up to 16.7× while maintaining accuracy within 0.03 mean average precision (mAP) of the baseline. Average power remained nearly constant (3.60 W central processing unit (CPU) vs. 3.59 W NPU), indicating that the efficiency gains stem from reduced inference time rather than lower wattage. Limitations included unstable INT8 quantization due to unsupported operators and calibration-range mismatch, as well as minor CPU-side overhead in preprocessing and non-maximum suppression. The findings confirm that the RK3566 NPU delivers substantial efficiency gains without accuracy loss, enabling compact and low-cost platforms to sustain modern object-detection workloads. This demonstrates that affordable NPUs can provide reliable, real time artificial intelligence (AI) inference for embedded vision, internet of things (IoT), and robotics applications.
Integration of K-Means Clustering and GPT-4.1 for an AI-Based Strategic Hotel Decision Support System Daffa Anasayyasy; Inov Whily Ambodo; Patah Herwanto
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 10 No. 3 (2025): November
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/rh6p1t14

Abstract

This research develops an artificial intelligence-based strategic decision support system for optimizing hotel revenue management, integrating K-Means Clustering and GPT-4.1. The novelty of this study lies in the combination of daily performance analysis using K-Means for segmentation and narrative-based recommendations generated by GPT-4.1, a novel approach not widely applied in hospitality contexts. This approach not only utilizes data segmentation techniques but also transforms the segmentation results into strategic recommendations that are practical and easily understood by hotel management. The theoretical contribution of this research is the development of an integration method between clustering algorithms and large language models, while its practical contribution is the improvement of operational decision-making efficiency based on data, which can enhance hotel performance and daily revenue. Thus, this research contributes to the development of AI-based systems that can be adapted to other service sectors with similar operational patterns.
A Comparative Study of Webrtc and Websocket Performance in Real-Time Voice Communication Alwin Hartono Limaran; Agung Wicaksono; Patah Herwanto
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 10 No. 3 (2025): November
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/rsx41r57

Abstract

This study compares the performance of Web Real-Time Communication (WebRTC) and WebSocket for bidirectional voice interaction with the ChatGPT API on an Orange Pi 3B edge device over a 50 Mbps Ethernet connection. The objective is to determine the most efficient and reliable protocol for real-time interaction on resource-constrained devices. The study evaluates latency, bandwidth, CPU utilization, and jitter metrics automatically collected to assess the efficiency and stability of both protocols. Results show that WebRTC achieves approximately 150 ms latency with lower network and CPU consumption and near-zero jitter, while WebSocket exhibits around 200 ms latency with higher bandwidth usage and CPU load. Practically, WebRTC is more efficient and stable for client-side production due to its resource-efficient and responsive characteristics, whereas WebSocket is better suited for custom data streaming or high-throughput server-to-server communication. These findings provide a quantitative foundation for developers in selecting the optimal protocol for real-time voice applications in edge environments.
Implementation of a Production Prediction System Using a Combination of Simple Linear Regression and Single Exponential Smoothing Fahmi Agung Nurdiyansyah; Patah Herwanto
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 14, No 3: Desember 2025
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v14i3.3335

Abstract

Inaccurate production planning can cause losses in food businesses due to overproduction or stock shortages. This study develops a production prediction model for the Moshi Mochi business by combining the Single Exponential Smoothing (SES) method and Simple Linear Regression. SES is used to forecast sales for the next period, while the resulting prediction is used as an input variable in the regression model to estimate production quantity. Model performance is evaluated using RMSE and MAPE. The results show that an alpha value of 0.4 produces an RMSE of 13.31 and a MAPE of 26.24%, which falls into the fairly good category. The predicted sales value of 39 mochi units is then used in the regression model, resulting in a production prediction of 39 units with RMSE and MAPE values of 0%. This zero error indicates that the combined SES and Simple Linear Regression model achieves 100% accuracy and falls into the very good category for historical data with low variation. The model can be effectively implemented in a web-based cashier application.Keywords: Production Prediction; Simple Linear Regression; Single Exponential Smoothing; Moshi Mochi.AbstrakKetidaktepatan jumlah produksi dapat menyebabkan kerugian bagi usaha makanan akibat kelebihan maupun kekurangan stok. Penelitian ini mengembangkan model prediksi produksi pada usaha Moshi Mochi dengan mengombinasikan metode Single Exponential Smoothing (SES) dan Regresi Linier Sederhana. Metode SES digunakan untuk memprediksi penjualan periode berikutnya, sedangkan hasilnya dijadikan variabel input pada model regresi untuk memprediksi jumlah produksi. Evaluasi performa dilakukan menggunakan RMSE dan MAPE. Hasil menunjukkan bahwa nilai alpha = 0,4 menghasilkan RMSE sebesar 13,31 dan MAPE sebesar 26,24%, yang berada pada kategori cukup baik. Nilai prediksi penjualan sebesar 39 buah mochi kemudian digunakan dalam model regresi yang menghasilkan prediksi produksi 39 buah mochi dengan RMSE sebesar 0 dan MAPE sebesar 0%. Nilai kesalahan nol ini menunjukkan bahwa akurasi model prediksi kombinasi SES dan Regresi Linier Sederhana mencapai 100% dan termasuk dalam kategori sangat baik pada data historis dengan variasi rendah. Model ini dapat diimplementasikan secara efektif dalam aplikasi kasir berbasis web.
Co-Authors Agung Wicaksono Alwin Hartono Limaran Anasayyasy, Daffa Benediktus Zebua Chairuddin Chairuddin Chalifa Chazar Daffa Anasayyasy Fahmi Agung Nurdiyansyah Haryoso Wicaksono Hendri Hendri Herdyansyah, Ridwan Indra Nursyamsi Inov Whily Ambodo Intan Pramesti Dewi Maulana, Muhamad Iqbal Farhan Muhammad, Dian Nasution, Harmansyah Nenda Marliani Putratama, Virdiandry Rosida Rosida Rosida Rosida Rosida Rosida Saleh, R. Ali Fajar Setyawan, Muhammad Yusril Helmi Suwandy, Fanji Arief Syukur, Moh Rezky Whily Ambodo, Inov Yudhi Widya Arthana Rustam