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All Journal International Journal of Electrical and Computer Engineering Jurnal Fisika Unand Widyariset Journal of Physics and Its Applications Journal of Electronics, Electromedical Engineering, and Medical Informatics Abdimasku : Jurnal Pengabdian Masyarakat Widyariset Journal of Multidisciplinary Applied Natural Science Abdi Teknoyasa eProceedings of Engineering Journal of Computer Engineering: Progress, Application and Technology
Wildan Panji Tresna
Universitas Telkom Bandung
Aerospace Engineering Agriculture, Biological Sciences & Forestry Astronomy 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 Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Neuroscience Physics Social Sciences

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Karakterisasi Putaran Motor Servo Jangkauan Setengah Bola Untuk Mendukung Pelontar peluru Berbasis Pneumatic Nasution, Izhar Pinayungan; Ahmad, Umar Ali; Tresna, Wildan Panji
eProceedings of Engineering Vol. 10 No. 1 (2023): Februari 2023
Publisher : eProceedings of Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Abstrak—Kebutuhan peralatan militer saat ini menjadi wajib bagi seluruh negeri untuk menjaga kedaulatan negaranya. Seiring berkembangnya waktu, teknologi persenjataan pun terus berkembang mengikuti kebutuhan dan tujuan yang terus berkembang. Senjata pelontar peluru umumnya memiliki sistem kerja manual dimana pengguna senjata tersebut harus menyesuaikan kondisi atau target yang akan dicapai, dan pengguna senjata tersebut dituntut untuk memiliki pengetahuan dan kemahiran dalam penggunaan senjata. Dalam penyusunan tugas akhir ini penulis merancang sebuah model untuk mendukung pelontar peluru peluru yang memiliki kontrol servo dua arah horizontal dan vertikal yang akan menentukan arah pelontaran peluru menuju sesuai target yang ingin dicapai. Alat yang akan dirancang juga untuk mendukung pelontar peluru berbasis pneumatic. Alat ini digerakkan secara otomatis melalui komputer. Dari perancangan yang dilakukan, ditetapkan kemampuan sudut servo yang akan menggerakkan selongsong pelontar peluru sebanyak 1800 atau setengah bola. Kedua servo memiliki sudut yang sama dengan pengontrolan dilakukan dengan menggunakan mikrokontroller Raspberry Pi. Kata kunci — Otomatis, Pelontar Peluru, Pneumatic, Servo
Characteristics of Blue, Red, and Green Lasers for an Object Recognition System as Unique Markers Sugiarto, Iyon Titok; Aulia, Jasmine; Radila, Zahra; Azhari, Zaenal Afif; Tresna, Wildan Panji
Journal of Physics and Its Applications Vol 7, No 4 (2025): November 2025
Publisher : Diponegoro University Semarang Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jpa.v7i4.27483

Abstract

Computer Vision (CV) is an automation technology with applications in national defense, particularly for enabling automated object targeting systems. This study focuses on developing a unique marker detection system to support such targeting capabilities. The markers consist of laser beams characterized by distinct colors, shapes, sizes, and blinking patterns, designed to be identifiable only by a programmed computer system. Incorporating these laser properties as input parameters is essential for effective object recognition. Experimental results indicate that the detection threshold was calibrated to identify red, green, and blue colored objects under indoor lighting conditions of 71.3 Lux. The CV system successfully identified a circular marker positioned 680 cm away from triangular and square markers. In distance estimation tests using a Logitech C615 HD camera, the system achieved average error rates of 4% for circles, 5% for rectangles, and 6% for triangles. Overall, the system demonstrated a tracking accuracy of 95.24% for unique markers placed at distances ranging from 50 to 300 cm.
Digital Marketplace untuk Meningkatkan UMKM Binaan BUMDESMA Mentereng LKD Wahyu Pamungkas; Agung Wicaksono; Wildan Panji Tresna; Anggun Fitrian Isnawati; Umar Ali Ahmad
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 9, No 1 (2026): JANUARI 2026
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/ja.v9i1.3150

Abstract

BUMDESMA Mentereng LKD Kecamatan Cikoneng, Kabupaten Ciamis membina lebih dari 825 Usaha Mikro, Kecil, dan Menengah (UMKM) dengan beragam sektor usaha, namun masih menghadapi kendala dalam pemasaran karena terbatasnya akses pasar dan strategi promosi yang sebagian besar bersifat tradisional. Untuk menjawab tantangan tersebut, tim pengabdian masyarakat mengembangkan aplikasi marketplace digital berbasis website yang dirancang untuk memfasilitasi promosi, transaksi, serta pengelolaan produk UMKM secara terintegrasi. Metode pengabdian yang digunakan meliputi analisis kebutuhan, perancangan arsitektur sistem tiga lapis (frontend, backend, dan basis data), implementasi aplikasi, sosialisasi, serta pelatihan pemasaran digital bagi UMKM binaan. Hasil yang dicapai mencakup tersedianya platform digital marketplace yang menampilkan katalog produk, sistem transaksi dengan integrasi pembayaran digital, dashboard analitik, serta peta interaktif persebaran UMKM. Selain itu, pelatihan digital marketing meningkatkan kompetensi pelaku UMKM dalam mengelola toko online dan memperluas jaringan pemasaran. Dapat disimpulkan bahwa aplikasi marketplace ini mampu meningkatkan efisiensi operasional, memperluas jangkauan pasar, serta mendukung digitalisasi ekonomi desa secara berkelanjutan.
PEMBERDAYAAN PERDAGANGAN PRODUK HALAL MELALUI INOVASI DIGITAL: STUDI KASUS KOLABORASI INTERNASIONAL ANTARA PERGURUAN TINGGI DAN INDUSTRI Umar Ali Ahmad; Wahyu Pamungkas; Anggun Fitrian Isnawati; Agung Wicaksono; Wildan Panji Tresna
Abdi Teknoyasa Vol. 6 No. 2 (2025): Volume 6, Nomor 2, Desember 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/abditeknoyasa.v6i2.14391

Abstract

Program pengabdian kepada masyarakat ini bertujuan untuk memberdayakan pelaku usaha ritel berbasis halal melalui inovasi digital dalam kerangka kolaborasi internasional antara perguruan tinggi dan industri. Program ini mengintegrasikan pelatihan literasi digital, pendampingan sertifikasi halal, serta pengembangan pasar daring (marketplace) untuk meningkatkan daya saing global produk halal. Melalui pendekatan partisipatif yang melibatkan perguruan tinggi di Indonesia dan mitra industri dari Jepang, kegiatan ini memfasilitasi alih pengetahuan, pembuatan prototipe sistem digital, dan penguatan kapasitas pelaku usaha. Hasil kegiatan menunjukkan peningkatan visibilitas bisnis, adaptasi digital, dan jaringan lintas negara bagi masyarakat muslim di Jepang. Kolaborasi ini menegaskan potensi sinergi akademik–industri dalam memperkuat ekonomi digital yang inklusif dan beretika di sektor halal.
Rancang Bangun Alat Deteksi Bahan Baku Gelatin Menggunakan Multisensor Gas Berbasis Machine learning Febby Trishe Ananda; Harmadi Harmadi; Wildan Panji Tresna; Aditya Eka Mulyono
Jurnal Fisika Unand Vol 15 No 4 (2026)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jfu.15.4.423-429.2026

Abstract

In The demand for gelatin for halal food ingredients in Indonesia is very high. Pork-based gelatin, which is difficult to identify after undergoing the production process, is still widely used in the food and pharmaceutical industries. Analytical methods such as PCR and FTIR offer high accuracy, but they require high operational costs and specialized laboratory facilities. This study develops a machine learning-based electronic nose (e-nose) system to detect and classify gelatin types based on their raw material sources. This system integrates eight types of gas sensors to detect volatile organic compounds (VOCs) produced by each type of gelatin, which are then classified by PCA and predicted by LDA. The study will use gelatin with raw materials sourced from cows, pigs, and fish with varying gelatin concentrations of 1%, 3%, 5%, and 7%. Testing will be conducted for 30 minutes for each sample. The results of the testing prove that the device is capable of detecting and distinguishing gelatin based on its raw materials with a detection accuracy of 95%.
Prism-Coupled SPR Sensors for Rapid Halal and Label-Free Identification of Gelatin from Multiple Animal Sources Imam Tazi; Wildan Panji Tresna; Wiwis Sasmitaninghidayah; Khairut Tamimi; Muthmainnah Muthmainnah; Atikah Qonitah; Lia Aprilia
Journal of Multidisciplinary Applied Natural Science Vol. 6 No. 3 (2026): Journal of Multidisciplinary Applied Natural Science
Publisher : Pandawa Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47352/jmans.2774-3047.442

Abstract

Rapid and reliable identification of gelatin origin is critically important for food authentication and halal verification. This study proposes a label-free optical sensing approach based on surface plasmon resonance (SPR) for discriminating bovine, porcine, and fish gelatin. Gelatin solutions (1–8% w/v) were analyzed using a prism-coupled attenuated total reflection (ATR)-SPR configuration, where resonance angle shifts were extracted from reflectance minima. Complementary finite-difference time-domain (FDTD) simulations were performed to validate experimental trends and elucidate field interactions at the metal–dielectric interface. Results show distinct refractive index (RI) profiles and concentration-dependent resonance shifts for each gelatin type, enabling clear differentiation without chemical labeling. At higher concentrations (7–8%), fish gelatin exhibits the highest RI, followed by porcine and bovine gelatin. Porcine gelatin demonstrates the most linear and sensitive response, with a strong correlation (R² = 0.9412) between concentration and resonance angle shift. Simulation results are in good agreement with experimental data, confirming the sensitivity of SPR to subtle RI variations. The novelty of this work lies in the integration of ATR-SPR and numerical modeling for rapid, non-destructive, and label-free identification of gelatin sources across multiple animal origins. This approach offers a promising platform for real-time food authentication, quality control, and halal assurance, with potential for portable and on-site sensing applications.
Co-Authors Aditya Eka Mulyono Agung Wicaksono Agung Wicaksono Alexander William Setiawan Putra Anggun Fitrian Isnawati ANGGUNMEKA LUHUR PRASASTI Atikah Qonitah Aulia, Jasmine Azhari, Zaenal Afif Bambang Widiyatmoko Dedi Riana Dwi Hanto Febby Trishe Ananda Harmadi Harmadi Imam Tazi Imam Tazi Isnaeni Isnaeni Khairut Tamimi Lewa, Ismira Wahyu Lestari Lia Aprilia Lia Aprilia Mera Kartika Delimayanti Mohamad Syahadi Muhammad Reza Faisal, Muhammad Reza Mustofa, Fahmi Charish Muthmainnah Muthmainnah Muthmainnah Muthmainnah Nasution, Izhar Pinayungan Nursidik Yulianto, Nursidik Putra, Bagus Ariantama Dewanto Radila, Zahra Reza Rendian Septiawan Rezwandi, Fiqri Aqilah Riana, Dedi Rohman, Hamzah Nur Sugiarto, Iyon Titok Takeo Maruyama Umar Ali Ahmad Umar, Ali Wahyu Pamungkas Wahyu Pamungkas Wiwis Sasmitaninghidayah Wiwis Sasmitaninghidayah