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All Journal Journal of Electrical Technology J-COSCIS : Journal of Computer Science Community Service Nuansa Informatika Jurnal Ekonomi, Manajemen, Akuntansi dan Keuangan The Journal of Information Technology, Computer Science, and Electrical Engineering
Gunawan Gunawan
Dosen Teknik Komputer Dan Informatika Politeknik Negeri Medan
Automotive Engineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Social Sciences Other

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PKM PENERAPAN TEKNOLOGI SISTEM INFORMASI MANAJEMEN DESA UNTUK MENINGKATKAN PELAYANAN YANG PRIMA KEPADA MASYARAKAT PADA DESA. PERBULAN, KEC. LAU BALANG, KAB. KARO, SUMUT Ajulio Padly Sembiring; Sharfina Faza; Andam Lukcyhasnita; Gunawan
J-COSCIS : Journal of Computer Science Community Service Vol. 2 No. 1 (2022): J-COSCIS : Journal of Computer Science Community Service
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (437.291 KB) | DOI: 10.31849/jcoscis.v2i1.8569

Abstract

Desa Perbulan, Kecamatan Lau Baleng, Kabupaten Karo, Provinsi Sumatra Utara membutuhkan kehadiran perguruan tinggi dalam meningkatkan kualitas kinerja dan pelayanan perangkat desa terhadap masyarakatnya. Dimana dewasa ini seluruh aktifitas pekerjaan sudah menggunakan komputer yang tentunya memudahkan dan menghemat biaya dan waktu dalam setiap pekerjaan, namu di Desa Perbulan Kab. Karo masih minim penggunaan kumputer dan sistem komputer dalam melayani masyarakat yang berakibat labatnya setiap proses administrasi yang dilakukan oleh masyarakat kepada pemerintahan desa. Tentutnya kondisi ini sangat merugikan masyarakat dimana masyarakat harus meniggalakan pekerjaan berhari-hari hanya demi mengurus selembar surat di kantor desa. Dari msalah ini kami menawarkan pembangunan Sistem Informasi Manajeman Desa untuk memudahkan seluruh pekerjaan perangkat desa untuk melayanin masyarakan desa, dimana sistem yang akan dibangun berbasis web yang akan di online-kan dan dapat di akses oleh seluruh masyarakat yang akan menghasilkan transparansi pemerintah desa terhadap mesyarakat dan akan menghasilkan kepercayaan masyarakat terhapat pemerintahan desa
WashGo: Perancangan Model Bisnis Layanan Laundry On-Demand Berbasis Aplikasi untuk Mahasiswa Perkotaan Muhammad Rafif Alfathan; Wisky F. Lumban Gaol; Andre Trinanda Sitorus; Dian Arya Pratama; Gunawan
Jurnal Ekonomi, Manajemen, Akuntansi dan Keuangan Vol. 7 No. 4 (2026): October
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/emak.v7i4.4120

Abstract

WashGo merupakan inovasi startup yang dirancang sebagai solusi layanan laundry on-demand untuk mahasiswa modern. Perancangan ini dilatarbelakangi oleh minimnya waktu mahasiswa akibat jadwal padat, serta ketidakefisienan laundry konvensional seperti antrean panjang dan risiko pakaian tertukar. Penelitian ini bertujuan untuk merancang model bisnis layanan laundry yang efisien sekaligus memodelkan sistem aplikasinya menggunakan pendekatan Lean Canvas. Metode penelitian menggunakan pendekatan deskriptif kualitatif dan Research and Development (R&D). Data dikumpulkan melalui observasi pasar terhadap segmentasi mahasiswa dan studi literatur, kemudian dianalisis menggunakan 9 blok Lean Canvas untuk kelayakan bisnis, serta Unified Modeling Language (UML) untuk pemodelan sistem aplikasi berbasis cross-platform (Flutter). Hasil penelitian menunjukkan bahwa WashGo mampu memetakan proposisi nilai yang kuat berupa transparansi (real-time tracking), efisiensi, dan keamanan (barcode pakaian). Hasil analisis kelayakan finansial memproyeksikan Titik Impas (Break Even Point) dapat tercapai pada volume 3.750 kg/bulan atau setara 750 pelanggan aktif. Simpulannya, WashGo merupakan model bisnis yang layak secara komersial dan responsif terhadap gaya hidup mahasiswa. Implikasi praktis dari penelitian ini adalah hadirnya solusi digital yang menghemat waktu produktif mahasiswa, sementara bagi literatur, penelitian ini membuktikan efektivitas Lean Canvas dalam memvalidasi startup jasa mikro.
Design And Development of a Vehicle Security System Using Vibration Sensors and GPS Based on Arduino Gunawan; Achmad Yani; Junaidi; Zumhari; E Hutajulu; R Sirait
Journal of Information Technology, computer science and Electrical Engineering Vol. 1 No. 3 (2024): October 2024
Publisher : Yayasan Sinergi Multidimensi Kreatif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jitcse.v1i3.152

Abstract

Incidents of theft and theft of motor vehicles have recently become more and more prevalent. This is suspected by the increase in the number of motorized vehicles every year. The most stolen or stolen types of motor vehicles are two-wheeled vehicles or motorcycles. So the researcher in this case conducted research in the form of designing motor vehicle safety using brittle sensors and GPS (Global Positioning System). The vibration sensor is functional to detect theft by forcibly moving the vehicle. Meanwhile, GPS functions to detect the location of the presence of the motor vehicle so that it can be monitored by the owner of the vehicle. This research focuses on measuring the accuracy and optimization of vibration sensors and GPS so that outputs in the form of simple patents and prototypes of motor vehicle safety devices can be obtained.
Artificial Intelligence-Based Driver Drowsiness Alarm System for Real-Time Monitoring Gunawan; Achmad Yani; Heri Trisna Frianto; Junaidi
Journal of Information Technology, computer science and Electrical Engineering Vol. 3 No. 1 (2026): February-May 2026
Publisher : Yayasan Sinergi Multidimensi Kreatif

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

Abstract

This research aims to design and build a drowsy driver detection alarm that uses Android-based artificial intelligence. Drowsy drivers are one of the factors that cause serious and potentially fatal traffic accidents. Therefore, it is necessary to develop a system that can detect the signs of drowsy drivers and provide timely warnings to prevent accidents. In this study, we implemented artificial intelligence technology to detect signs of drowsy drivers based on data analysis such as eye movements, head position, and driver activity. The system uses sensors and cameras on Android devices to monitor and analyze driver behavior in real-time. The designed system will alert the driver if signs of drowsiness are detected. The alert can be in the form of sound, vibration, or visual display on the Android device's screen. In addition, the system can also record and report drowsy driver detection data to related parties, such as vehicle owners or traffic control centers. The software development method used in this study is the software development lifecycle model (SDLC) with the stages of needs analysis, design, implementation, testing, and maintenance. We also used machine learning techniques to train sleepy driver detection models based on the data collected. The result of this study is a drowsy driver detection alarm system that can be integrated with Android devices. These systems can help prevent traffic accidents caused by drowsy drivers by providing timely and effective alerts.This research aims to design and build a drowsy driver detection alarm that uses Android-based artificial intelligence. Drowsy drivers are one of the factors that cause serious and potentially fatal traffic accidents. Therefore, it is necessary to develop a system that can detect the signs of drowsy drivers and provide timely warnings to prevent accidents. In this study, we implemented artificial intelligence technology to detect signs of drowsy drivers based on data analysis such as eye movements, head position, and driver activity. The system uses sensors and cameras on Android devices to monitor and analyze driver behavior in real-time. The designed system will alert the driver if signs of drowsiness are detected. The alert can be in the form of sound, vibration, or visual display on the Android device's screen. In addition, the system can also record and report drowsy driver detection data to related parties, such as vehicle owners or traffic control centers. The software development method used in this study is the software development lifecycle model (SDLC) with the stages of needs analysis, design, implementation, testing, and maintenance. We also used machine learning techniques to train sleepy driver detection models based on the data collected. The result of this study is a drowsy driver detection alarm system that can be integrated with Android devices. These systems can help prevent traffic accidents caused by drowsy drivers by providing timely and effective alerts.
Data Integrity Validation For Used Cooking Oil Logistics Based On Haversine Algorithm And Image Metadata: Validasi Integritas Data untuk Logistik Minyak Goreng Bekas Berdasarkan Algoritma Haversine dan Metadata Gambar Thoriq Haqqi Adha; Widya Wulandari; Azzahra Safitri; Fahreza; Gunawan
NUANSA INFORMATIKA Vol. 20 No. 2 (2026): Nuansa Informatika 20.2 July 2026
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ilkom.v20i2.585

Abstract

The implementation of Indonesia’s B50 biodiesel mandate faces weak data verification within the used cooking oil (UCO) reverse logistics chain managed by MSMEs. Conventional trackers cannot validate the authenticity of field coordinates and photographic evidence, creating data vulnerabilities. This study developed the Capture-Guard Framework, a low-cost solution combining the Haversine Algorithm for spatial validation and EXIF metadata parsing for temporal-device validation. An experimental simulation was executed using an expanded synthetic dataset of 200 comparative entries. By evaluating logs against a 10-meter spatial boundary and a 120-second temporal tolerance protocol, the framework successfully filtered all malicious logs, yielding an overall binary classification accuracy of 93.5%. The system achieved a perfect Precision rate of 100% due to zero False Positive occurrences, while environmental noise and sensor drifts were safely isolated under a tiered verification class, resulting in a Recall rate of 87.0% and a robust F1-Score of 0.93. These empirical findings demonstrate that securing data integrity at the first-mile validation point provides a clean audit trail vital for supporting raw material certainty within the B50 biodiesel ecosystem
Rancang Bangun Alat Penyiram Tanaman Otomatis Menggunakan Sensor Kelembaban Tanah Gunawan Gunawan; Marliana Sari
JET (Journal of Electrical Technology) Vol 3, No 1 (2018): JET Edisi Februari
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/jet.v3i1.290

Abstract

Swasembada pangan adalah program pemerintah yang saat ini sedang gencar digalakan, agar Indonesia bisa mandiri dalam penyediaan pangan pada akhir tahun 2019. Indonesia selain sebagai negara maritim juga merupakan negara agraris dengan lahan yang subur dengan 2 musim yaitu musim penghujan dan musim kemarau. Pada musim penghujan biasanya tanaman pangan tidak perlu dilakukan penyiraman karena telah mendapatkan air hujan yang cukup.Sedangkan pada musim kemarau tanaman harus disiram dengan teratur sesuai dengan kondisi kelembaban tanah. Para petani biasanya tidak menanam tanaman pangan pada musim kemarau karena takut tidak akan tumbuh dengan baik dan gagal panen. Ketergantungan petani dengan musim menyebabkan produksi petani menurun dan menjadi kendala dalam menyukseskan program swasembada pangan. Untuk mengatasi kendala musim kemarau dan agar petani tetap bisa bercocok tanam pada musim kemarau maka diperlukan suatu produk alat  pertanian berbasis teknologi informasi dan komunikasi berupa chip mircrocontroller yang diprogram sehingga bisa mengontrol penyiraman tanaman secara otomatis berdasarkan kelembaban tanah yang dideteksi menggunakan sensor kelembaban tanah buatan dalam negeri. Alat ini akan mendeteksi apakah tanah tempat bercocok tanam itu kering sehingga alat dapat mengontrol penyiraman secara otomatis saat tanah kekurangan unsur air. Jadi petani tidak perlu melakukan penyiraman secara manual. Sehingga tanaman bisa tetap tumbuh dengan subur walau sedang musim kemarau. Selain membantu para petani alat ini bisa juga dipasang pada perkebunan, persemaian bibit, taman-taman di perkotaan, hotel, perkantoran, dan di rumah-rumah yang memiliki taman atau tanaman yang perlu penyiraman secara rutin.
Design and Implementation of an Offline-First Mobile Grocery Arisan Information System Using Flutter and Firebase: Desain dan Implementasi Sistem Informasi Toko Kelontong Seluler Arisan yang Mengutamakan Mode Offline Menggunakan Flutter dan Firebase Devina; Putri Eli Sandra Hasibuan; Dzikra Azzahra; Adetia Anggriani; Gunawan
NUANSA INFORMATIKA Vol. 20 No. 2 (2026): Nuansa Informatika 20.2 July 2026
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/ilkom.v20i2.582

Abstract

Conventional grocery savings schemes (arisan sembako) managed manually often encounter challenges such as inefficient contribution recording, limited transparency, and difficulties in managing participant data. This study aims to design a mobile-based grocery arisan information system to support the digitalization of community-scale grocery savings management. A descriptive research approach was employed, with data collected through observation and interviews conducted at Mila Sembako.The proposed system was designed using Flutter and Firebase and includes system architecture, use case modeling, Firestore database design, and interface mockup, with an offline-first synchronization mechanism to ensure data accessibility under limited or intermittent internet connectivity. The system supports participant management, grocery package management, contribution recording, winner selection, notification services, and cloud-based data synchronization through Firebase. By centralizing data management in a cloud environment, the system enables more efficient record keeping and improved information accessibility for administrators and participants. The resulting system design provides a structured framework for improving the efficiency, transparency, and reliability of grocery arisan management. The study demonstrates the feasibility of utilizing Flutter and Firebase technologies to support the digital transformation of community-based grocery savings schemes and serves as a reference for future system development and implementation
Co-Authors Achmad Yani Adetia Anggriani Ajulio Padly Sembiring Andam Lukcyhasnita Andre Trinanda Sitorus Azzahra Safitri Devina Dian Arya Pratama Dzikra Azzahra E Hutajulu Fahreza Faza, Sharfina Heri Trisna Frianto Junaidi Junaidi Marliana Sari Muhammad Rafif Alfathan Putri Eli Sandra Hasibuan R Sirait Thoriq Haqqi Adha Widya Wulandari Wisky F. Lumban Gaol Zumhari