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All Journal Teknologi dan Kejuruan: Jurnal teknologi, Kejuruan dan Pengajarannya SITEKIN: Jurnal Sains, Teknologi dan Industri JPS Unimus E-Dimas: Jurnal Pengabdian kepada Masyarakat Sistem : Jurnal Ilmu-Ilmu Teknik Jurnal Penelitian Pendidikan IPA (JPPIPA) JATI UNIK : Jurnal Ilmiah Teknik dan Manajemen Industri SMARTICS Journal JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Cendekia : Jurnal Pengabdian Masyarakat Journal of Electrical Engineering and Computer (JEECOM) Ilomata International Journal of Social Science Prosiding Konferensi Nasional PKM-CSR Jurnal Multidisiplin Madani (MUDIMA) Asian Journal of Community Services (AJCS) Jurnal Kecerdasan Buatan dan Teknologi Informasi Jurnal Pengabdian Masyarakat Ilmu Komputer Akiratech International Journal of Technology and Education Research Journal Pesona Indonesia CITAKARYA Jurnal Pengabdian Masyarakat
Bayu Firmanto
Universitas Wisnuwardhana
Religion Agriculture, Biological Sciences & Forestry Humanities 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 Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Nursing Physics Public Health Social Sciences Other

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Temporal Pattern Intelligence: A Recurrent Neural Framework for Enhanced Financial Forecasting Firmanto, Bayu
SITEKIN: Jurnal Sains, Teknologi dan Industri Vol 23, No 1 (2025): December 2025
Publisher : Fakultas Sains dan Teknologi Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/sitekin.v23i1.38342

Abstract

Accurate forecasting of financial time series remains a complex challenge due to asset price behaviour's non-stationary, nonlinear, and cyclical nature. While Long Short-Term Memory (LSTM) networks have shown promise in modeling sequential dependencies, they often struggle to capture periodic structures inherent in financial data. This study proposes a hybrid forecasting framework that integrates temporal pattern recognition techniques—specifically seasonal decomposition, wavelet transforms, and moving averages—into a recurrent neural architecture to improve predictive performance in cyclical markets. Using historical data from five representative financial instruments, the hybrid model enriches the LSTM input space with statistically significant temporal features, thereby enabling more comprehensive learning of both long-term dependencies and structural temporal patterns. Empirical results demonstrate that the proposed model significantly outperforms traditional LSTM baselines in terms of Root Mean Squared Error (RMSE), particularly in assets exhibiting strong cyclical behavior. The residual component from seasonal decomposition emerges as the most influential feature, reinforcing the importance of capturing irregular deviations in financial forecasting. This research contributes a structured and generalizable approach to combining temporal pattern recognition with deep learning, offering improved accuracy and interpretability for practitioners and researchers in computational finance 
Analysis of Work Accidents in Shipyards Using FMEA and FTA Methods with a Systematic Literature Review Approach Sigit, Nanta; Wirawan Aryanto Balol; Bayu Firmanto
International Journal of Technology and Education Research Vol. 4 No. 01 (2026): January- March, International Journal of Technology and Education Research (IJ
Publisher : International journal of technology and education research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijeter.v4i01.3009

Abstract

Occupational accidents in shipyard industries remain a significant concern due to the complex and high-risk nature of shipbuilding and repair activities. Operations such as working at heights, confined space entry, welding, heavy lifting, and exposure to hazardous substances contribute to elevated accident rates and severe consequences, including fatalities and economic losses. This study aims to analyze occupational accidents in shipyards by integrating Failure Mode and Effect Analysis (FMEA) and Fault Tree Analysis (FTA) using a Systematic Literature Review (SLR) approach. The objective is to identify dominant accident types, prioritize critical risks, and determine root causes to support evidence-based safety improvements. The research employed a systematic literature review method by collecting peer-reviewed articles from major scientific databases published between 2010 and 2024. Relevant studies were selected based on predefined inclusion and exclusion criteria. Data were extracted and synthesized to identify common failure modes, risk parameters (Severity, Occurrence, Detection), Risk Priority Number (RPN) values, and causal relationships derived from FTA models. The PRISMA framework was applied to ensure a transparent and structured selection process. The results indicate that the most dominant occupational accidents in shipyards include falls from height, confined space incidents, fire and explosions during hot work, crushing injuries from heavy lifting operations, and electrical accidents. FMEA analysis revealed that confined space operations and welding activities consistently present the highest RPN values. FTA findings demonstrate that these accidents are commonly caused by a combination of human factors, equipment failures, inadequate supervision, insufficient safety procedures, and weak organizational safety culture. The integration of FMEA and FTA provides a comprehensive analytical framework that combines quantitative risk prioritization with qualitative root cause identification. This integrated approach enhances the effectiveness of occupational risk assessment in shipyard environments. Academically, the study contributes to the development of integrated risk analysis methodologies, while practically it offers structured recommendations for improving safety management systems in shipyard industries.
Implementing Responsive Web Design to Improve Website Accessibility Bayu Firmanto; Nanta Sigit
International Journal of Technology and Education Research Vol. 4 No. 01 (2026): January- March, International Journal of Technology and Education Research (IJ
Publisher : International journal of technology and education research

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/ijeter.v4i01.3023

Abstract

The rapid growth of internet usage and the dominance of mobile device access have significantly transformed website development practices. Websites are no longer accessed primarily through desktop computers but through various devices with different screen sizes, particularly smartphones. This shift requires adaptive design strategies to ensure optimal accessibility and usability. However, many websites still employ static layouts that are not responsive, leading to display distortions, navigation difficulties, and reduced user experience, especially on mobile devices. This study aims to implement Responsive Web Design (RWD) to improve website accessibility and evaluate its effectiveness through quantitative measurement. The research adopts an experimental method using a before-and-after testing approach. The selected website is first evaluated in its original (non-responsive) condition using accessibility assessment tools based on Web Content Accessibility Guidelines (WCAG) standards. Subsequently, RWD principles—including fluid grids, flexible images, media queries, and a mobile-first approach—are implemented. Accessibility testing is then repeated to measure improvements. The results indicate that the implementation of Responsive Web Design significantly enhances website accessibility across multiple devices. Improvements are observed in layout adaptability, text readability, navigability, and overall compliance with WCAG principles. The responsive layout reduces horizontal scrolling, optimizes content structure, and enhances user interaction efficiency. In conclusion, Responsive Web Design is an effective technical solution for addressing accessibility challenges in multi-device environments. Although responsiveness alone does not guarantee full accessibility compliance, its integration with accessibility standards contributes substantially to improving digital service quality. This study provides empirical evidence and a structured implementation framework that can serve as a reference for developers and institutions seeking to enhance website accessibility and user experience.
Pelatihan Dalam Pengetahuan Keselamatan dan Kesehatan Kerja Bagi Mahasiswa Teknik Industri di Galangan Kapal Sigit, Nanta; Firmanto, Bayu; Aryanto Balol, Wirawan
CITAKARYA Jurnal Pengabdian Masyarakat Vol. 4 No. 01 (2026): Februari - April
Publisher : CITAKARYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63922/citakarya.v4i01.3019

Abstract

Industri galangan kapal merupakan sektor industri manufaktur berat yang memiliki tingkat risiko kecelakaan kerja relatif tinggi akibat aktivitas seperti pengelasan, pemotongan baja, pekerjaan di ruang terbatas, serta pekerjaan di ketinggian. Kondisi ini menuntut adanya pemahaman yang memadai mengenai Keselamatan dan Kesehatan Kerja (K3), tidak hanya bagi pekerja, tetapi juga bagi mahasiswa Teknik Industri sebagai calon tenaga profesional yang akan terjun ke lingkungan industri. Namun demikian, pembelajaran K3 di perguruan tinggi masih cenderung bersifat teoritis sehingga diperlukan intervensi edukatif yang lebih aplikatif. Pengabdian masyarakat ini bertujuan untuk meningkatkan pengetahuan mahasiswa Teknik Industri mengenai K3 di lingkungan galangan kapal serta mengevaluasi efektivitas pelatihan yang diberikan. Metode yang digunakan adalah pendekatan kuantitatif dengan desain pre-experimental tipe one group pretest–posttest. Kegiatan dilaksanakan melalui tahapan persiapan, pelaksanaan pelatihan, dan evaluasi. Instrumen yang digunakan berupa tes pengetahuan (pre-test dan post-test) untuk mengukur peningkatan pemahaman peserta. Hasil kegiatan menunjukkan adanya peningkatan signifikan pada nilai rata-rata post-test dibandingkan pre-test, yang mengindikasikan bahwa pelatihan K3 efektif dalam meningkatkan pengetahuan mahasiswa mengenai identifikasi bahaya, penggunaan alat pelindung diri (APD), serta pengendalian risiko di galangan kapal. Selain peningkatan aspek kognitif, pelatihan juga mendorong tumbuhnya kesadaran dan sikap positif terhadap budaya keselamatan kerja. Dengan demikian, pelatihan K3 bagi mahasiswa Teknik Industri di galangan kapal merupakan intervensi yang relevan dan efektif dalam mempersiapkan mahasiswa menghadapi lingkungan kerja berisiko tinggi. Kegiatan ini diharapkan dapat menjadi model pembelajaran berbasis praktik yang mendukung pembentukan budaya keselamatan sejak masa pendidikan.
DEVELOPMENT AND ANALYSIS OF A MATLAB GUI APPLICATION: AUTOMATIC COLOR DETECTION AND CONVERSION BASED ON RGB VALUES FOR EDUCATIONAL AND DIGITAL DESIGN Anggraini, Devita; Fitriana, Nurin; Firmanto, Bayu; Aziz, As’ad Shidqy; Sesoca, Jendra; Kristianti, Tri; Budijanto, Arif
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 3 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i3.8724

Abstract

The advancement of digital technology necessitates practical solutions for accurate color identification and conversion, particularly in the fields of design, education, and the digital industry. This study aims to develop and analyze an automatic color detection application based on a MATLAB GUI, capable of detecting colors from RGB input values and converting them to Hex, CMYK, and HSV formats. The urgency of this research lies in the need for an efficient, user-friendly application that minimizes errors in the color identification process, as manual methods are often ineffective and prone to mistakes. The methodology employed is Research and Development (R&D), which includes litera-ture review, needs analysis, system design, application implementa-tion, and thorough testing and evaluation of accuracy and usability. Testing results demonstrate that the application can accurately detect and convert colors, with performance consistent with standard applica-tions such as Microsoft Paint, and has received positive feedback from users regarding its intuitive interface. The implications of this research are the availability of a digital tool that supports more efficient design processes, interactive learning, and creative industry workflows, while also opening opportunities for the development of similar applications in the future
Implementasi Transistor TIP 127 dan Optocopler PC817 dalam perancangan PLC Outseal Berbasis Arduino Nano As'ad Shidqy Aziz; Muhammad Nur Abdul Azis; bayu firmanto
Akiratech Vol. 1 No. 2 (2024)
Publisher : CV. Akira Java Bulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63935/akiratech.v1i2.31

Abstract

Sebuah sistem otomasi tidak lepas dari programmable machine didalamnya agar dapat mengendalikan mesin – mesin yang mendukung proses produksi. Salah satu mesin yang dapat diprogram dalam proses otomasi adalah PLC (Programmable Logic Control). Dalam perkembangannya PLC saat ini dapat di bangun dengan sebuah komponen mikrokontroller Arduino yang bertindak sebagai central processing unit (CPU). PLC tersebut dinamakan sebagai PLC Outseal. Penelitian ini menggunakan pengendali digital output menggunakan komponen transistor TIP127 dengan suhu maksimal 150 0C dan arus maksimal 5 A dengan pengendali sinyal basis menggunakan  optocoupler PC817 dalam perancangan PLC outsealnya. Hasil pengujian modul input memiliki tingkat presisi yang tinggi. Dimana nilai standar deviasi yang dihasilkan rata – rata  sebesar 0,046. Sedangkan untuk modul output memiliki nilai standar deviasi rata-rata 0,304 untuk pengukuran arus output dan 0,098 untuk pengukuran tegangan output.
Implementation of An IoT-Based Temperature and Humidity Monitoring System with Data Logging Features in the Calibration Laboratory Ryan Franki Risdianto; Jendra Sesoca; Bayu Firmanto
Jurnal Kecerdasan Buatan dan Teknologi Informasi Vol. 5 No. 3 (2026): September 2026 In progress.
Publisher : Ninety Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69916/jkbti.v5i3.532

Abstract

ISO/IEC 17025:2017 accredited calibration laboratory, holds an absolute obligation to monitor, control, and record environmental conditions (temperature and humidity) to maintain the validity of measurement results and support budget uncertainty calculations. However, the current monitoring system is still conventional and manual (three times a day), making it vulnerable to human errors, data duplication, and an inability to record fluctuations between intervals. This study aims to design and build an automatic temperature and humidity monitoring system based on the Internet of Things (IoT) featuring a dual-logging system to ensure continuous technical records. The system design utilizes an ESP32 microcontroller as the central processing unit, a DHT11 sensor to detect ambient temperature and relative humidity, a Micro SD Card module as a local backup media (offline backup), and the ThingSpeak platform as a cloud database for remote monitoring. The sensor data is saved to the SD Card in CSV format every 5 minutes, while data transmission to ThingSpeak is scheduled every 1 minute. System testing involved functionality tests (Black Box Testing), local storage capability tests, connectivity tests, data validity tests, and stability/durability tests. The results indicate that the IoT-based monitoring device was successfully functionality test success rate. The implementation of the dual-logging feature effectively preserves the integrity and continuity of records; ThingSpeak simplifies realtime data visualization, while the Micro SD Card operates as a reliable local failsafe during network fluctuations. This system minimizes human error, increases operational oversight efficiency, and supports regulatory compliance with Clauses 6.3 and 7.5 of ISO/IEC 17025:2017.
EFEKTIVITAS EDUKASI KESELAMATAN DAN KESEHATAN KERJA TERHADAP PENINGKATAN PENGETAHUAN PERAWAT RUMAH SAKIT Bayu Firmanto; Nanta Sigit
Jurnal Pengabdian Masyarakat Ilmu Komputer Vol. 3 No. 3 (2026): September
Publisher : Yayasan Nuraini Ibrahim Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70248/jpmik.v3i3.4566

Abstract

Perawat merupakan tenaga kesehatan yang memiliki risiko tinggi terhadap berbagai bahaya kerja, termasuk pajanan biologis, cedera akibat benda tajam, penggunaan alat medis, dan risiko ergonomi. Peningkatan pengetahuan mengenai Keselamatan dan Kesehatan Kerja (K3) diperlukan sebagai salah satu dasar pembentukan perilaku kerja yang aman. Kegiatan ini bertujuan mengevaluasi efektivitas edukasi K3 dalam meningkatkan pengetahuan keselamatan perawat rumah sakit. Kegiatan dilaksanakan dengan desain one-group pretest-posttest terhadap 30 perawat yang terlibat langsung dalam pelayanan pasien. Intervensi dilakukan melalui edukasi K3 secara interaktif yang meliputi identifikasi potensi bahaya, penggunaan alat pelindung diri (APD), pencegahan cedera akibat jarum dan benda tajam, pencegahan pajanan biologis, prinsip ergonomi, serta pelaporan kecelakaan kerja. Pengetahuan peserta diukur menggunakan instrumen pre-test dan post-test sebelum dan setelah intervensi. Analisis dilakukan dengan membandingkan perubahan nilai pengetahuan sebelum dan sesudah edukasi. Hasil menunjukkan bahwa nilai rata-rata pengetahuan meningkat dari 64,3 pada pre-test menjadi 84,7 pada post-test, dengan peningkatan sebesar 20,4 poin atau 31,7%. Proporsi peserta dengan kategori pengetahuan baik meningkat dari 33,3% menjadi 86,7%, sedangkan peserta dengan kategori pengetahuan kurang menurun dari 16,7% menjadi 0%. Temuan ini menunjukkan bahwa edukasi K3 berbasis pendekatan interaktif berpotensi menjadi intervensi promotif dan preventif untuk meningkatkan pengetahuan keselamatan perawat. Secara praktis, hasil kegiatan mendukung penerapan edukasi K3 secara berkala yang disertai demonstrasi dan diskusi kontekstual. Secara akademis, temuan ini memberikan dasar bagi pengembangan penelitian selanjutnya dengan desain eksperimental, kelompok kontrol, dan pengukuran perilaku keselamatan dalam jangka panjang.
Co-Authors Aghniya Ariza Sa’adah Aghniya Ariza Sa’adah Amin Mansur, Ahmad Anjayas, Achmad May Caal Arif Budijanto Aulia Rahman Oktaviansyah, Aulia Rahman Aziz, As’ad Shidqy Devita Anggraini Devita Putri Kusuma Ningrum Dian Utami Ikhwaningrum Dian Utami Ikhwaningrum Eddy Suprihadi Febi Dwi Widayanti Galih Setiyo Refangga Hadi Suyono Harry Soekotjo Ikhwaningrum, Dian Utami Imaniar Juang Hayati Imaniar Juang Hayati INTAN RACHMAWATI Intan Rachmawati Jendra Sesoca Jendra Sesoca Kristianti, Tri Lorencia Endah Cahya Ningrum Marsudi Dedi Putra Muhammad Nur Abdul Azis Mukhammad Soleh Munandar, Ardiansyah Mustika, Ulfa Dyah Ningrum, L. Endah Cahya Nurin Fitriana Putra, Marsudi Dedi Rahayu F, Brahma Ratih Ryan Franki Risdianto Sesoca, Jendra Sigid Budi Santoso Sigid Budi Santoso Sigit, Nanta Sinda Eria Ayuni Sudarto Sudarto Sujiantoro, Hibertus Sulistya Diah Paramitha Sulistya Diah Paramitha Suprihadi, Eddy Suprihadi, Edy taufik kurrahman Tio Arriela Doloksaribu Widhi Lala Noelita Wirawan Aryanto Balol Wirawan Aryanto Balol, Wirawan Aryanto