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All Journal Jurnal Teknologi Lingkungan Universitas Trisakti Teknika AJIE (Asian Journal of Innovation and Entrepreneurship) Jurnal Sains Dan Teknologi Lingkungan CESS (Journal of Computer Engineering, System and Science) Jurnal Sains & Teknologi Lingkungan Jurnal Ilmiah KOMPUTASI INTEGER: Journal of Information Technology Jurnal Sains dan Informatika JITK (Jurnal Ilmu Pengetahuan dan Komputer) JSiI (Jurnal Sistem Informasi) Al-Ard: Jurnal Teknik Lingkungan JUSIM (Jurnal Sistem Informasi Musirawas) Journal of Information Systems and Informatics JUKANTI (Jurnal Pendidikan Teknologi Informasi) Prosiding National Conference for Community Service Project Jurnal Pena Indonesia JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) INSERT: Information System and Emerging Technology Journal Telcomatics Journal of Information System and Technology (JOINT) Khazanah: Jurnal Mahasiswa INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Social Engagement: Jurnal Pengabdian Kepada Masyarakat Madani: Jurnal Pengabdian Masyarakat dan Kewirausahaan
Andik Yulianto
Universitas Islam Indonesia, Indonesia
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering 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 Mathematics Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Transportation Other

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PENGEMBANGAN SISTEM FIFO (FIRST IN FIRST OUT) PADA ODOO 13 Sabariman, Sabariman; Yulianto, Andik; Lie, Steven
Journal of Information System Management (JOISM) Vol. 5 No. 2 (2024): Januari
Publisher : Universitas Amikom Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/joism.2024v5i2.1382

Abstract

Odoo merupakan sebuah layanan ERP yang digunakan untuk meningkatkan manajemen kerja. Namun, Odoo saat ini belum memiliki sistem FIFO yang komprehensif untuk mengelola persediaan sehingga sulit untuk melacak inventaris berdasarkan gudang, nomor seri, dan tanggal masuk barang. Penelitian ini berfokus pada pengembangan sistem First In First Out (FIFO) di Odoo 13. Metode penelitian yang digunakan dalam penelitian ini adalah metode waterfall, yang melibatkan langkah-langkah sistematis dan berurutan. Penelitian ini mengumpulkan data tentang persyaratan untuk sistem FIFO, merancang struktur sistem dan diagram, mengimplementasikan sistem menggunakan bahasa pemrograman Python, mengintegrasikan dan menguji sistem. Hasil penelitian meliputi pengembangan sistem FIFO dalam Odoo 13, yang meliputi pembuatan basis data relasional, pemrograman backend dan implementasi model stock_move_line, stock_quant, dan product_product.
Pengolahan Limbah Lumpur Minyak Bumi (Oil Sludge) Kegiatan Hulu Migas Di Bob PT. Bumi Siak Pusako – Pertamina Hulu Dengan Metode Biopile Dan Komposting Darojat, Irfa; Herlica, Inne; Wulandari, Dewi; Yulianto, Andik
Al-Ard: Jurnal Teknik Lingkungan Vol. 9 No. 2 (2024): March
Publisher : Department of Environmental engineering, Faculty of Science and Technology, Islamic State University Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29080/alard.v9i2.1979

Abstract

Oil sludge waste is a potential pollutant for the environment and a major problem in upstream oil and gas activities. The high content of hydrocarbons in oil sludge has the potential to contaminate soil, water and groundwater. The remediation approaches, both physical and chemical, for oil sludge waste have been applied, but the costs are quite high and their effectiveness is inadequate. Two of the economical and environmentally friendly oil sludge waste processing technology options are biopile and composting. The aim of this research is to explore the application of biopiles and composting to reduce total petroleum hydrocarbon (TPH) levels. There are 4 variations in the biopile, namely B-0 (oil sludge, soil and bulking agent), B-1 (oil sludge, soil, bulking agent and inoculum) B-2 (oil sludge, soil, bulking agent, inoculum and green compost), and B-3 (oil sludge, soil, bulking agent, inoculum and chemical fertilizers), while in composting there are 3 variations namely C-0 (oil sludge, soil and bulking agent), C-1 (oil sludge, soil, bulking agent and green compost), C-2 (oil sludge, soil, bulking agent and chemical fertilizer) with an observation period of 55 days. Biopile application reduced TPH at B-0, B-1, B-2, and B-3 by 67%, 78%, 82%, and B-3 78% consecutively. Composting application reduced TPH at C-0 by 61%, at C-1 by 67%, and at C-2 by 62%. The results implies that the application of bioremediation is able to reduce TPH levels.
Enhancing Smart Wheelchair Control: A Comparative Study of Optical Flow and Haar Cascade for Head Movement Muriyah, Nimatul Ma; Paerin, Paerin; Yulianto, Andik
Journal of Information System and Informatics Vol 7 No 4 (2025): December
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v7i4.1302

Abstract

The development of Artificial Intelligence, particularly in Computer Vision, has enabled real-time recognition of human movements such as head gestures, which can be utilized in smart wheelchairs for users with limited mobility. This study compares two lightweight non-deep-learning methods Lucas–Kanade Optical Flow and Haar Cascade Classifier for real-time head movement detection. Both methods were implemented in Python using OpenCV and tested in four basic directions (left, right, up, and down) under three different lighting conditions: bright, normal, and dim. Each condition consisted of 16 trials per method, resulting in a total of 96 trials. The evaluation focused on detection accuracy and decision time. Under bright lighting, Optical Flow achieved 87.5% accuracy with a decision time of 0.338-1.41 s, while Haar Cascade reached 50% accuracy with 0.616–1.20 s. Under normal lighting, Optical Flow maintained 87.5% accuracy with 0.89–1.21 s, compared to Haar Cascade’s 68.75% accuracy with 0.83–1.25 s. Under dim lighting, Optical Flow improved to 93.8% accuracy with 0.90–1.31 s, whereas Haar Cascade dropped to 62.5% accuracy with 0.89–1.58 s. These findings confirm that Optical Flow delivers more reliable and adaptive performance across varying illumination levels, making it more suitable for real-time smart wheelchair control. This study contributes to the development of affordable assistive technologies and highlights future directions for multi-user testing and hardware integration.
Rancang Bangun Game Edukasi Pengenalan Sejarah Kemerdekaan Indonesia Sebagai Media Yulianto, Andik; Widodo, Danang Wahyu; Wahyuniar, Lilia Sinta
Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Vol. 7 No. 2 (2023): PROSIDING SEMINAR NASIONAL INOVASI TEKNOLOGI TAHUN 2023
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/inotek.v7i2.3479

Abstract

Tidak dapat disangkal bahwa kemajuan teknologi informasi dalam berbagai bidang telah memungkinkan banyak orang untuk dengan mudah mengakses berbagai informasi. Game merupakan bentuk kemajuan teknologi yang terjadi sekarang ini. Sejarah memiliki peranan penting bagi sebuah bangsa. Jika sebuah bangsa memiliki sejarah yang kuat, maka bangsa tersebut lebih mudah untuk bangkit. Banyak anak muda atau generasi muda sekarang yang kurang literasi tentang sejarah Indonesia khususnya sejarah kemerdekaan Indonesia. Faktornya adalah media pembelajaran yang monoton dan membosankan. Dari permasalahan yang terjadi, peneliti tertarik untuk merancang game edukasi sejarah kemerdekaan Indonesia dengan konsep game platformer. Tujuan penelitian adalah untuk merancang game edukasi pengenalan sejarah kemerdekaan Indonesia sebagai media pembelajaran digital yang menarik dan interaktif. Hasil penelitian yang dilakukan oleh peneliti berupa game “History Of Freedom”, yaitu game tentang edukasi sejarah kemerdekaan Indonesia. Hasil uji coba Blackbox pada game “History Of Freedom” semua berjalan dengan lancar, mulai dari fungsi tombol dan gameplay.
The Effectiveness of Smart Traffic Management system in Indonesia: Systematic Literature Review Sama, Hendi; Yulianto, Andik; Lius, Kevin
CESS (Journal of Computer Engineering, System and Science) Vol. 11 No. 1 (2026): Januari 2026
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v11i1.71654

Abstract

Traffic congestion in Indonesia causes significant economic losses and impacts the quality of life of the community. The Smart Traffic Management System (STMS) emerges as a technology-based solution that integrates the Internet of Things (IoT), Artificial Intelligence (AI), and big data to manage vehicle flow adaptively. This research employs the Systematic Literature Review (SLR) method with the PRISMA approach to analyze the effectiveness of STMS in reducing congestion and carbon emissions, both in Indonesia and in other countries. The reviewed articles indicate that STMS can reduce vehicle travel time by 8-15%, improve traffic flow smoothness by up to 50%, and decrease carbon emissions by 30-40% per year. Trials in Jakarta demonstrate a 15% increase in traffic smoothness and a reduction in travel time during peak hours. These findings confirm that the implementation of STMS has tremendous potential to realize a more efficient, safe, environmentally friendly, and sustainable urban transportation system.
Strategi Infrastruktur Hijau dalam Mendukung Ketahanan Lingkungan Perkotaan di Kawasan Historis Baciro, Yogyakarta: indonesia Mistoro, Niesa Hanum; Yulianto, Andik; Rahmawati, Suphia; Putro, Muhammad Kholif Lir Widyo
Asian Journal of Innovation and Entrepreneurship Volume 10, Issue 1, January 2026
Publisher : UII

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/ajie.vol10.iss1.art5

Abstract

Many urban cities in Indonesia face critical challenges such as limited green open spaces, declining environmental quality, and spatial pressure driven by rapid population growth. These conditions threaten urban environmental resilience, particularly in maintaining quality of life and sustainable resource use. This study aims to formulate adaptive green infrastructure planning strategies for the Baciro historical neighbourhood in Yogyakarta to enhance environmental quality while preserving the area’s cultural identity. A qualitative case study approach was employed, combining spatial planning documents, field observations, and stakeholder interviews. The findings indicate that despite limited open spaces, Baciro offers significant opportunities for green infrastructure development through the utilization of residual and vertical spaces, including narrow alleys, riverbanks, and commercial building façades. Proposed strategies include the implementation of vertical gardens, green corridors, revitalized riverfronts, and pedestrian-friendly green streets. These interventions contribute ecological functions—such as water infiltration, microclimate regulation, and air quality improvement—while also strengthening social cohesion through community participation. Furthermore, integrating green infrastructure with the Transit Oriented Development (TOD) concept expands its role in promoting sustainable mobility and liveable urban spaces. This research demonstrates that green infrastructure can serve as a strategic instrument for achieving urban environmental resilience while safeguarding historical heritage in the face of urbanization pressures. The results provide insights and practical implications for planning similar historic neighbourhoods across Indonesian cities that encounter comparable spatial and environmental challenges.
Perancangan dan Pengembangan Sistem Smart Parking Berbasis ESP32 dan Aplikasi Mobile Android Studio Erick; Yuvier, Maxi; Fernando, Nelson; Marcelleno, Ng; Yulianto, Andik
Telcomatics Vol. 10 No. 2 (2025)
Publisher : Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/telcomatics.v10i2.10867

Abstract

The rapid growth in the number of vehicles has intensified challenges in parking management, leading to traffic congestion and wasted time for drivers searching for available spots. Conventional parking systems, which often rely on manual processes, are inefficient and contribute to these problems. This research addresses these issues by designing and developing an Internet of Things (IoT) based smart parking system to provide real-time monitoring of parking availability. The system utilizes an ESP32 microcontroller, chosen for its integrated Wi-Fi and processing capabilities, as the core processing unit. For vehicle and user management, an RFID-RC522 sensor is used for vehicle entry authentication , while an HC-SR04 ultrasonic sensor detects vehicles at the exit. The backend architecture employs a multi-layered approach, using MQTT as the communication protocol with HiveMQ as the broker. System logic and data flows are managed using Node-RED, which communicates with a Flask server to interact with the database. The user interface is a mobile application developed using Android Studio. This application requires user authentication via a login page and provides a real-time dashboard that visually displays the status of parking slots—green for available and red for occupied. The successful implementation of this prototype demonstrates a functional end-to-end solution that effectively integrates hardware and software to create a more efficient and user-friendly parking management system.
Random Forest Classifier Approach for Accurate Malicious URL Identification Haeruddin, Haeruddin; Elvert; Yulianto, Andik; Sabariman, Sabariman
Telcomatics Vol. 10 No. 2 (2025)
Publisher : Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/telcomatics.v10i2.11173

Abstract

Internet users currently face significant risks from malicious URLs that facilitate phishing attacks, malware distribution, and data theft. Traditional blacklisting methods have become ineffective against evolving cyberattack techniques. This study proposes a Random Forest classification approach for more accurate malicious URL detection, focusing on critical URL features including URL length, presence of special keywords, subdomain structure, and special character usage. these features train the Random Forest model to distinguish between safe and malicious URLs. We evaluate model effectiveness using accuracy, precision, and recall metrics. This research aims to develop a Random Forest-based malicious URL detection system that is more accurate and adaptive than conventional methods. The study examines both the advantages and limitations of this approach, along with its potential as a reliable detection solution for dynamic digital environments. Evaluation results demonstrate an overall accuracy of 94%, weighted average F1-score of 0.94, and macro average F1-score of 0.94.
A SYSTEMATIC LITERATURE REVIEW: BIG DATA IN SMART CITY DEVELOPMENT Sama, Hendi; Ulfa, Tasya Selvia; Yulianto, Andik
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 3 (2026): JITK Issue February 2026
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i3.7441

Abstract

The modernization of information technology has generated a large volume of data known as Big Data, which plays an essential role in supporting data-driven decision-making. With regard to Smart City development, Big Data contributes to enhancing the effective, efficient, and environmentally friendly public services. However, the utilization of Big Data in Indonesia still faces several challenges, including insufficient supporting infrastructure, limited technical expertise, and issues related to data security and privacy. This study aims to analyze the role of Big Data in Smart City development, identify the most frequently used technologies, and examine the challenges in implementing Big Data within Smart City initiatives. This study adopts the Systematic Literature Review (SLR) approach, following a structured study selection process, 40 articles were initially retrieved and evaluated, with 25 studies ultimately satisfying the methodological criteria for inclusion in the final synthesis. The results of the analysis indicate that Cloud Computing, Big Data,  Artificial Intelligence (AI) and Internet of Things (IoT) are the most dominant technological components in Smart City implementation. Furthermore, the study emphasizes that the success of Smart City initiatives is contingent not merely upon technological progress but also on human resource readiness, data quality, and information protection. This research contributes to providing a strategic foundation for policy development and implementation planning of Smart Cities in Indonesia, particularly in strengthening data governance and national digital capacity building to support sustainable urban innovation.
Sistem Absensi Ringan Dengan Deteksi Wajah Terintegrasi Web Menggunakan Haar Cascade dan Facenet Huang, Darren; Yulianto, Andik; Herman, Herman
TEKNIKA Vol. 20 No. 2 (2026): Teknika Mei 2026 (In Progress)
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.18586265

Abstract

Penelitian ini bertujuan mengembangkan sistem absensi berbasis pengenalan wajah yang mudah digunakan dengan memanfaatkan model FaceNet dan ukuran gambar 80×80 piksel. Topik ini dipilih untuk memenuhi kebutuhan sistem absensi yang cepat, akurat, dan bisa berjalan pada perangkat dengan spesifikasi rendah. Model dilatih menggunakan 3.500 citra wajah dari 35 individu, dengan pembagian data 80% untuk pelatihan dan 20% untuk pengujian. Evaluasi menggunakan confusion matrix dan classification report menunjukkan akurasi pengujian sebesar 99,86%, dengan nilai loss 0,0157 serta nilai precision, recall, dan F1-score yang sangat baik. Hasil ini menegaskan bahwa resolusi 80×80 piksel tetap mampu menghasilkan akurasi tinggi dan lebih efisien secara komputasi dibandingkan pendekatan umum yang menggunakan resolusi gambar lebih besar. Model kemudian diintegrasikan ke dalam aplikasi web berbasis Flask dengan Haar Cascade sebagai pendeteksi wajah. Pengujian lokal menunjukkan tingkat kepercayaan sekitar 82,5% pada jarak 30 cm, meskipun performa menurun pada jarak sekitar satu meter. Kontribusi utama penelitian ini adalah membuktikan bahwa FaceNet tetap efektif pada resolusi gambar rendah, sehingga memungkinkan pengembangan sistem absensi yang ringan dan sesuai untuk perangkat berspesifikasi terbatas dibandingkan penelitian sebelumnya.
Co-Authors A.A. Ketut Agung Cahyawan W Abay, Margita Rahayu Adelia Anju Asmara Adelia Anju Asmara Agung Nugroho Adi, Agung Nugroho Aji Wilaksono, Aji Aldri Frinaldi Amilia Amilia Anaztasya, Azra Putri Andi Andi Andreas, Willy Anisah Hasna Jauharoh Anthony Any Juliani, Any Aripradono, Heru Wijayanto Arlina, Dilla Awaluddin Nurmiyanto, Awaluddin Billy Ardi, Billy Chandra Wijaya, Kevin Christian, Yefta Danang Wahyu Widodo Darojat, Irfa Davis Willyam, Davis Deli, Deli Delvira Jayatri Prasasti, Delvira Jayatri Dewi Wulandari Dhandhun Wacano Dilla Arlina Dion, Sandy Alferro Elvert Elvis, Elvis Erick Fernando, Nelson Hadi Hadi Haeruddin Haeruddin Herlica, Inne Herman Herto Dwi Arisyady, Herto Hervian Lanang Priyambodo, Hervian Lanang Hu dori, Hu Huang, Darren Hudori Hudori Ikhlas, Junior Indah Purwaningsih Irawan, Ferdy Jason Jeffrey ., Jeffrey Jesson, Jesson Kevin kevin Khomali, Carlos Justin Lau, Eric Lau, Wilsen Lee, Lesley Peterson Leonardo, Kevin Lie, Melvin Lie, Steven Lim, Louis Lim, Stephani Lius, Kevin Marbun, Ricky Yohannes Marcelleno, Ng Mardya Ning Tyas Margita Rahayu Abay Marisa Handayani Maulana, Azhar Melvin, Melvin Meriana, Angelina Mistoro, Niesa Hanum Mungkap Mangapul Siahaan Muriyah, Nimatul Ma Nimatul Mamuriyah Nur ‘Azah Paerin, Paerin Pelawi, Jan Putra Bahtra Agung S Pratama, Adi Nuzul Pravitasari, Vidya Ayu Prayatni Soewondo Prihat maji, Prihat Putro, Muhammad Kholif Lir Widyo Rahman, M Abdur Rahmawati, Suphia Rinaldo, Rinaldo Sabariman Sabariman Sabariman Sabariman Sak, Erwin Sama, Hendi Saputra, M. Abdilah Selina, Selina Setijawan, Wawan sherly sherly Sim, Joel Hamim Simanjuntak, Fredian Simanjuntak, Noe Prihartoyo Sopiyan, Sopiyan Stelyven, Stelyven Stephen Suphia Rahmawati Taai, Derwin Tham, Vincent Tiffano Miracle Gaghana, Dave Tjua, Selina Trianes, Agustian Ulfa, Tasya Selvia Utomo, Kevin Saputra Wacano, Dhandhun Wantoputri, Noviani Ima Wenky, Wenky Wilson Wilson Yeo, Stefan Yulianto P., Yulianto Yuvier, Maxi