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All Journal Jurnal Ilmiah FIFO JurTI (JURNAL TEKNOLOGI INFORMASI) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer JNANALOKA International Journal Software Engineering and Computer Science (IJSECS) Journal of Information Systems and Technology Research Sistem Pendukung Keputusan dengan Aplikasi Internet of Things and Artificial Intelligence Journal Proceeding Applied Business and Engineering Conference Amare Jurnal Sains dan Ilmu Terapan Asia Information System Journal Journal of Engineering Science and Technology Management Abdimas Terapan: Jurnal Pengabdian Kepada Masyarakat Terapan Science and Technology: Jurnal Pengabdian Masyarakat Inovasi Teknologi Masyarakat Journal of Moeslim Research Technik
Pribadi, Antoni
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PENERAPAN DAN PELATIHAN SISTEM INFORMASI PEMINJAMAN DANA BERBASIS WEB UNTUK MENINGKATKAN LAYANAN KUD TENERA MUKTI MANDIRI DI DESA INDRAPURI Pribadi, Antoni; Nofiar. Am, Andri; Fitri, Fitri; Kurnia Oktorina, Fenty; Nasari, Fina; Ridwan, Muhammad; Nurkholis; Perdana, M. Alkadari; Rukhshah, Muhammad
Amare Vol. 4 No. 1 (2025): Januari - Juni 2025
Publisher : Sekolah Tinggi Agama Katolik Negeri Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52075/9prjfe49

Abstract

Koperasi Unit Desa (KUD) Tenera Mukti Mandiri merupakan salah satu koperasi aktif di Kecamatan Tapung yang berperan penting dalam mendukung perekonomian pedesaan melalui berbagai layanan usaha seperti simpan pinjam, penjualan TBS, dan penyediaan sarana produksi pertanian. Namun, proses administrasi peminjaman dana yang masih dilakukan secara manual menimbulkan berbagai permasalahan seperti potensi kesalahan pencatatan, kehilangan data, serta rendahnya efisiensi dan transparansi. Untuk mengatasi permasalahan tersebut, Tim Pengabdian kepada Masyarakat Politeknik Kampar melakukan kegiatan penerapan dan pelatihan sistem informasi peminjaman dana berbasis web. Kegiatan ini bertujuan untuk mendukung digitalisasi layanan koperasi agar lebih efektif dan akuntabel. Metode pelaksanaan meliputi identifikasi permasalahan mitra, pengumpulan data, perancangan prototipe sistem, pengembangan sistem berbasis website, implementasi, pelatihan pengguna, serta penyusunan laporan dan publikasi. Hasil kegiatan menunjukkan antusiasme tinggi dari pengurus koperasi dalam mengikuti pelatihan, serta kesiapan mereka dalam mengoperasikan sistem secara mandiri. Penerapan sistem informasi ini diharapkan mampu mendorong transformasi digital koperasi dan meningkatkan kualitas layanan kepada anggota secara berkelanjutan.
Implementation of the MDLC Method in the Development of Android-Based Augmented Reality for Traditional House Recognition Am, Andri Nofiar; Pribadi, Antoni; Nurkholis, Nurkholis; Perdana, M.Alkadri; Rukhshah, Muhammad
Internet of Things and Artificial Intelligence Journal Vol. 5 No. 2 (2025): Volume 5 Issue 2, 2025 [May]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v5i2.903

Abstract

Indonesia has a rich cultural diversity, one of which is traditional houses (rumah adat). However, learning about traditional houses is still largely based on textbooks. With the advancement of information and communication technology, teaching and learning processes can now be supported by interactive learning media. One of the emerging technologies that is widely used in education is Augmented Reality (AR). AR can display 3D animations from all angles, helping to increase public interest in learning more about Indonesia’s diverse traditional houses. The purpose of this research is to develop an Android-based Augmented Reality application for introducing traditional houses in Indonesia as a learning medium. This application aims to provide users convenience in learning, and seeing various types of houses there. The method used is the Multimedia Development Life Cycle (MDLC) which consists of a concept, design, collection of materials, assembly process, testing process, and distribution process. The application uses Unity, Blender, and Vuforia SDK. The results of this study will show that the Android-based Augmented Reality (AR) marker application, specifically the traditional houses in Indonesia. 3D assets of traditional houses can be adjusted flexibly, for example, rotated by 360 degrees, accompanied by descriptive information on each traditional house, so that information can be received flexibly and real-like.
TOPSIS Method In Determining The Best Package Transportation Route A. Hamdallah, Taymour; Badri, Mohammad; Caesaendra, Wahyu; Pribadi, Antoni; Handika Siregar, Yustria; Annisa S, Tasya
Journal of Information Systems and Technology Research Vol. 4 No. 2 (2025): May 2025
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v4i02.1127

Abstract

The urgent need for product transportation services during the ongoing pandemic has prompted companies to organize transportation processes effectively to ensure customers are well served. The increase in demand for goods transportation services has been driven by the pandemic, as it has necessitated social distancing and adherence to health protocols. Traditionally, transportation services rely on distance calculation technologies to determine the best route for delivering packages, which may reduce transportation efficiency. One example is the delivery service at J&T Sidamukti drop point by PT Tiki Lintas. This research aims to provide an overview of the steps involved in using the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method to determine the optimal transportation route for package delivery. The use of the TOPSIS method in this study aims to improve the efficiency of transportation time by evaluating and comparing different delivery routes based on multiple criteria. Through this approach, the study intends to highlight how optimal decision-making processes can enhance the efficiency of goods transportation in a challenging context like the pandemic. The research also seeks to offer practical solutions that can be applied to similar transportation challenges, thereby contributing to the overall improvement of delivery systems. Ultimately, the findings of this study are expected to provide valuable insights into the application of decision-making models in transportation route planning, particularly in the current context of limited movement and physical distancing.
MONITORING SYSTEM OF FISH POOL WATER TURBIDITY WITH ESP32 AND BLYNK Pribadi, Antoni; Irawan, Indra; Kumar, D. Senthil
Asia Information System Journal Vol. 2 No. 1 (2023): Asia Information System Journal
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/aisj.v2i1.18166

Abstract

Technological developments in all aspects of life today are urgently needed, this can be seen from the many technologies that have replaced human jobs. As with the fish column at home, the work that is routinely done in the fish column is to replace the water in it if it is too cloudy so that it looks clean and creates good conditions for the development and health of the fish. Usually, fish farmers will make a schedule to check water quality and replace it. This work can sometimes take up time, especially when busyness increases and if you are late or forget to change the water in the pond, it can harm the condition of the fish in it. To help overcome this problem, equipment has been designed to monitor the turbidity level of the water that can be monitored from anywhere and at any time. This study aims to produce a tool that can monitor and control the condition of the level of water turbidity in fish ponds so that fish growth can be maximized. This monitoring is carried out regularly in real-time using IoT (Internet of Things) so that it can facilitate monitoring without the need to come directly to the pond location. This research succeeded in creating a monitoring system that can detect the turbidity of aquarium water using the ESP 32 tool and display on the Blynk application automatically in real-time.
The Effect of Influencer Marketing and Price on Generation Z’s Purchase Intention toward Trendy Food in Bangkinang City Sispurwanto, Yedi; Yetti, Dzulhijjah; Kurnia, Dedi; Rukhshah, Muhammad; Pribadi, Antoni
Journal of Engineering Science and Technology Management (JES-TM) Vol. 5 No. 2 (2025): September 2025
Publisher : Journal of Engineering Science and Technology Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jestm.v5i2.287

Abstract

This study aims to analyze the effect of influencer marketing and price on the purchase intention of trendy food among Generation Z in Bangkinang City. The rapid growth of social media has significantly influenced consumer behavior, particularly among Generation Z, who are known for their high level of digital engagement and openness to new trends. This research employs a quantitative approach using a survey method with a structured questionnaire distributed to respondents aged 17–26 years. A total of 385 valid responses were obtained through purposive sampling, assuming an infinite population. The data were analyzed using multiple linear regression to determine the significance and magnitude of the relationships between variables. The results indicate that influencer marketing has a positive and significant effect on purchase intention, suggesting that endorsements and promotions by social media personalities can effectively stimulate consumer interest. Price also shows a significant influence, indicating that affordability and perceived value remain important considerations for Generation Z consumers. These findings provide practical implications for culinary business owners and marketers in designing promotional strategies that combine influencer engagement with competitive pricing to maximize purchase intention.
Sistem Keamanan Pintu Berbasis Face Recognition Menggunakan Raspberry Pi 3 Pribadi, Antoni; Fitri, Fitri; Safitri, Mulya; Nofiar. Am, Andri; Ridwan, Muhammad
Jurnal Ilmiah FIFO Vol 16, No 1 (2024)
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/fifo.2024.v16i1.005

Abstract

Menurut Badan Pusat Statistik tahun 2021 mengatakan bahwa tingkat kejahatan pencurian pada tahun 2020 di Riau meningkat sebesar 2.730 kasus, oleh sebab itu kasus pencurian dirumah menjadi hal yang sangat sering terjadi. Penyebab terjadinya pencurian tersebut ialah karena banyaknya rumah yang memakai sistem kunci gembok tradisional yang bentuknya kecil. Terdapat banyak solusi yang telah dibuat oleh peneliti terdahulu seperti menggunakan sidik jari, password, sensor PIR, suara, retina dan lain-lain. Namun semua masih terdapat kekurangannya masing-masing. Untuk itu solusi yang diberikan ialah dengan membuat sistem keamanan pintu rumah berbasis face recognition. Face recognition sendiri ialah sebuah teknologi yang dapat mencocokkan wajah manusia dari citra digital atau cuplikan video melalui basis data wajah. Tujuan dari penelitian ini ialah sistem mampu mengidentifikasi wajah pemilik rumah. Sistem berhasil mengirimkan informasi berupa foto, tag nama dan waktu pada aplikasi Bot Telegram grup yang di monitoring oleh anggota keluarga terkait seseorang yang masuk kedalam rumah. Sistem juga berhasil menampilkan pesan teks pada LCD 16x2 untuk memberikan info tag nama seseorang yang sedang mengakses kamera.
Optimalisasi Kualitas Air dalam Pembibitan Ikan Baung melalui Sistem Monitoring Berbasis IoT di Pusat Pelatihan Mandiri Kelautan dan Perikanan (P2MKP) Pribadi, Antoni; Nofiar. Am, Andri; Oktorina, Fenty Kurnia; Nasari, Fina; Fitri, Fitri; Ridwan, Muhammad; Habibie, Indra; Nurkholis, Nurkholis; Zulfikar, Zulfikar
Inovasi Teknologi Masyarakat (INTEKMAS) Vol. 2 No. 2 (2024): December 2024
Publisher : Wadah Inovasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53622/intekmas.v2i2.287

Abstract

Pusat Pelatihan Mandiri Kelautan dan Perikanan (P2MKP) berada di bawah Kementerian Kelautan dan Perikanan Republik Indonesia, fokus pada pengembangan budidaya ikan baung. Sejak didirikan pada tahun 2011, P2MKP telah menjalankan program pelatihan bagi masyarakat, khususnya para pembudidaya ikan di Kabupaten Kampar, untuk meningkatkan keterampilan dalam teknologi budidaya yang berkelanjutan. Pengukuran kualitas air di P2MKP saat ini masih dilakukan secara manual menggunakan metode tradisional, seperti kertas indikator untuk mengukur pH, suhu, dan kejernihan air. Cara ini memerlukan waktu dan keahlian, sehingga rentan terhadap kesalahan interpretasi yang bisa mempengaruhi pengelolaan kolam. Untuk memperbaiki proses ini, program Pengabdian kepada Masyarakat membuat sistem monitoring kualitas air berbasis IoT (Internet of Things). Sistem ini menggunakan sensor untuk memantau parameter penting seperti suhu, pH, dan kekeruhan air secara real-time. Data yang diperoleh akan diakses melalui aplikasi mobile atau dashboard berbasis web, sehingga petugas P2MKP dapat dengan mudah memantau kondisi air kapan saja. Inovasi ini dapat meningkatkan akurasi dan efisiensi dalam pengelolaan kolam pembibitan ikan baung.
Development of Artificial Intelligence-Based Robots for Rescue Tasks at Disaster Locations Waahib, Achmad Nashrul; Prabowo, Iwan Ady; Kusnadi, Kusnadi; Pribadi, Antoni; Amir, Syafiq
Journal of Moeslim Research Technik Vol. 2 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v2i1.1929

Abstract

The increasing frequency of natural disasters highlights the urgent need for efficient rescue operations. Traditional methods often face limitations in accessing hazardous areas, making the development of intelligent robotic systems essential for enhancing rescue efforts. This research focuses on creating an AI-based robot specifically designed for search and rescue tasks in disaster-stricken locations. The primary aim of this study is to develop a robotic system that utilizes artificial intelligence to navigate complex environments, identify survivors, and deliver essential supplies. The research seeks to evaluate the robot's effectiveness in real-world scenarios and its potential to improve response times during emergencies. A systematic approach was employed, combining hardware design and software development. The robot was equipped with advanced sensors, machine learning algorithms, and autonomous navigation capabilities. Field tests were conducted in simulated disaster environments to assess the robot's performance in detecting obstacles, locating victims, and executing rescue tasks. The AI-based robot demonstrated a 90% success rate in locating simulated survivors and effectively navigating through obstacles. Response times were significantly reduced compared to traditional methods, showcasing the robot's potential to enhance rescue operations in real emergencies. This research successfully developed an AI-driven robotic system for search and rescue tasks, demonstrating its effectiveness in improving operational efficiency.
Co-Authors A. Hamdallah, Taymour Alfarizi Siregar , Matjen Am, Andri Nofiar Amir, Syafiq ANGGARA, YOGI Annisa S, Tasya Badri, Mohammad Basorudin, Basorudin Caesaendra, Wahyu Dzulhijjah Yetti Febrianton, Adi Fenty Kurnia Oktorina Fina Nasari Fitri Fitri Fitri habibie, indra Indra Irawan Iwan Ady Prabowo Jazman, Muhammad Kumar, D. Senthil Kurnia, Dedi Kusnadi Laksono Trisnantoro M.Kom, Fitri Muhammad Ridwan Nasari, Fina Nurkholis Nurkholis Nurkholis Nurkholis Nurkholis Perdana, M. Alkadari Perdana, M.Alkadri Prayoga, Hafizh Rahmad Akbar Rika Aryati Rukhshah, Muhammad Safitri, Mulya Satria Riki Mustafa, Satria Riki Sepdu Dehiya, Yogi Supriyanto, Asep Tri Kurniaty Waahib, Achmad Nashrul Yedi Sispurwanto Yustria Handika Siregar Zulfikar Zulfikar Zulfikar