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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal Mantik Penusa Zero : Jurnal Sains, Matematika, dan Terapan Jurnal Mantik Jusikom: Jurnal Sistem Informasi Ilmu Komputer INFOKUM Jurnal Sistem Informasi dan Teknologi Jaringan DISTANCE: Journal of Data Science, Technology, and Computer Science Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Journal Global Technology Computer Komposit : Jurnal Pengabdian Dan Pemberdayaan Masyarakat Journal of Data Science, Technology, and Artificial Intelligence Jurnal Pengabdian Kepada Masyarakat Teknologi Informasi dan Komunikasi
Fawwaz, Insidini
Universitas Sumatera Utara
Agriculture, Biological Sciences & Forestry Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Mathematics Physics Social Sciences Other

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Improvement of Face Recognition Algorithm in Smart Home Security System Ghofir, Abdul; Rusdianto Roestam; Insidini Fawwaz
Journal of Data Science, Technology, and Artificial Intelligence Vol. 1 No. 1 (2024): July 2024
Publisher : CV. ADMITECH SOLUTIONS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63703/ditech.v1i1.21

Abstract

At present, human intervention is still needed in most security systems to control their functions. The implementation of machine learning plays an important role in smart home security systems for better control functions. The system will have the ability to learn user behaviour, which then represents it in the form of control of the system. One of the important capabilities possessed by a security system is to recognize the face of everyone who accesses a secured place. This paper introduces a face recognition algorithm which is enhanced through a filtration of its controlled Euclidean Distance. The Success Rate Formula is also added and applied for more convincing results. All required system functions are identified and registered as the first system development step. The type of sensor for each function is determined as input data for machine learning processing. Designing and coding the system is carried out on Arduino as its core physical control system before testing and evaluating the system.
Implementasi Metode Rule-Based dalam Sistem Pakar Pemilihan Program Studi Menggunakan Bahasa Prolog Faza, Sharfina; Rizka, Ade; Husna, Meryatul; Anugrahwaty, Rina; Fawwaz, Insidini
Journal Global Technology Computer Vol 4 No 2 (2025): April 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jogtc.v4i2.7293

Abstract

The alignment between study programs and students' interests and abilities is a crucial factor in academic success at the university level. Unfortunately, many prospective students face confusion when choosing majors due to limited knowledge about the characteristics of each program and its relationship with career prospects, potentially affecting their academic performance and career paths. To address this challenge, our research presents a solution in the form of a rule-based expert system developed using Prolog language. This system is designed to provide study program recommendations through analysis of user responses to various structured questions. Using score calculation methods and matching against established value parameters, the system can propose the most relevant majors among four options: Computer Engineering (CE), Information Management (MI), Multimedia Graphics Engineering Technology (TRMG), and Software Engineering Technology (TRPL). Through this implementation, prospective students receive recommendations aligned with their potential and interests, facilitating more accurate decision-making. In addition to functioning as an assistive instrument in career and academic counseling for high school students, this research also lays the foundation for the development of more sophisticated expert systems with enhanced assessment weights and precision levels in the future.
Intelligent Actuator Control in Smart Agriculture through Machine Learning and Sensor Data Integration Azmi, Fadhillah; Gibran, M. Khalil; Fawwaz, Insidini; Anugrahwaty, Rina; Saleh, Amir
ZERO: Jurnal Sains, Matematika dan Terapan Vol 9, No 1 (2025): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v9i1.24421

Abstract

Smart agriculture leverages Internet of Things (IoT) technology to develop intelligent greenhouses capable of monitoring and responding to environmental changes in real time. This study proposes the use of machine learning to analyze real-time sensor data—such as temperature, humidity, water level, and soil nutrient levels (N, P, K)—to determine the optimal timing for activating actuators, including fans, irrigation systems, and water pumps. In the initial stage, the study utilized the "IoT Agriculture 2024" dataset from Kaggle, which consists of 37,922 records and 13 attributes describing crop and environmental conditions. This dataset was used to train a robust machine learning model based on gradient boosting to support intelligent actuator control decisions. The model demonstrated strong predictive accuracy, achieving 99.62%. In the final stage, the model was evaluated in a simulated IoT-based agricultural system using synthetic sensor data designed to mimic real-world readings of temperature, humidity, soil moisture, and nutrient concentrations. The model achieved a high validation accuracy of 99.55%, indicating its reliability and robustness within the simulated environment. These results demonstrate that the integration of machine learning with real-time sensor data is an effective strategy for automating actuator control in smart greenhouses. The proposed approach has the potential to reduce manual intervention, optimize resource utilization, and improve overall agricultural productivity. This study contributes to the advancement of adaptive, data-driven precision agriculture systems that support long-term food security.
Pengabdian Kepada Masyarakat Penerapan Sistem Informasi Berbasis Web Dalam Mendukung Pemilihan Hewan Domba Selvida, Desilia; Fawwaz, Insidini; Nurrahmadayeni, Nurrahmadayeni; Putra, Purwa Hasan
Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Vol 5, No 1 (2025): April 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jpstm.v5i1.3818

Abstract

Abstract: The selection of sheep for qurban is an important process and must meet Islamic sharia criteria as well as aspects of livestock health and quality. At Arjuna Farm, the sheep selection process is still done manually, making it difficult for prospective buyers to obtain accurate and reliable information, especially for those who are outside the city. This Community Service (PKM) activity aims to implement an information system application that can help farmers record livestock digitally, and make it easier for buyers to choose qurban animals objectively and efficiently. The methods used in this activity include initial observation, application design and development, training for farmers, implementation systems, and evaluation of usage results. This application provides features for recording sheep data (age, weight, price, health conditions), searching based on qurban criteria, and stock availability information. The results of the activity show that this application increases the efficiency of the selection process, accelerates service to consumers, and encourages the adoption of technology by farmers. The implementation of this application not only improves existing technical problems, but also becomes the initial step in digitalizing sustainable community livestock management that is responsive to consumer needs in the digital era.            Keywords: Information System, Sheep Selection, Digital Application, Livestock, Arjuna Farm Abstrak: Pemilihan hewan domba untuk qurban merupakan proses yang penting dan harus memenuhi kriteria syariat Islam serta aspek kesehatan dan kualitas ternak. Di Arjuna Farm, proses pemilihan domba masih dilakukan secara manual, sehingga menyulitkan calon pembeli dalam memperoleh informasi yang akurat dan terpercaya, terutama bagi mereka yang berada di luar kota. Kegiatan Pengabdian kepada Masyarakat (PKM) ini bertujuan untuk menerapkan aplikasi sistem informasi yang dapat membantu peternak dalam mendata hewan ternak secara digital, serta memudahkan pembeli dalam memilih hewan qurban secara objektif dan efisien. Metode yang digunakan dalam kegiatan ini meliputi observasi awal, perancangan dan pengembangan aplikasi, pelatihan penggunaan bagi peternak, implementasi sistem, dan evaluasi hasil penggunaan. Aplikasi ini menyediakan fitur pencatatan data domba (usia, bobot, harga, kondisi kesehatan), pencarian berdasarkan kriteria qurban, serta informasi ketersediaan stok. Hasil kegiatan menunjukkan bahwa aplikasi ini meningkatkan efisiensi proses pemilihan, mempercepat layanan kepada konsumen, dan mendorong adopsi teknologi oleh peternak.  Penerapan aplikasi ini tidak hanya menyelesaikan masalah teknis yang ada, tetapi juga menjadi langkah awal digitalisasi manajemen peternakan rakyat yang berkelanjutan dan responsif terhadap kebutuhan konsumen di era digital. Kata kunci: Sistem Informasi, Pemilihan Domba, Aplikasi Digital, Peternakan, Arjuna Farm
Pengembangan Web Company Profile Sebagai Upaya Pengabdian Kepada Masyarakat Di PT. Hamim Technology Indonesia Ade May Luky Harefa; Sutarman; Insidini Fawwaz
Jurnal Pengabdian Kepada Masyarakat Teknologi Informasi dan Komunikasi Vol 1 No 3 (2024): Juli
Publisher : CV. ADMITECH SOLUTIONS

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

Abstract

Di era modern, arus informasi menyebar sangat cepat melalui berbagai media, termasuk website yang menjadi platform akses informasi global. Hampir setiap instansi atau lembaga telah memiliki website sebagai sarana komunikasi dengan pelanggan. PT. Hamim Technology Indonesia, yang bergerak di bidang inovasi dan teknologi, menghadapi tantangan karena belum memiliki company profile yang lengkap. Ketiadaan company profile yang jelas menghambat perusahaan dalam membangun kepercayaan dan kredibilitas di mata calon klien dan mitra bisnis. Untuk mengatasi masalah ini, dilakukan pengembangan website company profile bagi PT. Hamim Technology Indonesia. Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan visibilitas dan pemahaman pelanggan tentang produk dan layanan perusahaan. Penyuluhan penggunaan sistem website dilakukan melalui pelatihan luring pada tanggal 16 Juli 2024, menggunakan metode ceramah dan pelatihan praktis. Diharapkan dengan adanya website ini, PT. Hamim Technology Indonesia dapat lebih efektif dalam memanfaatkan teknologi informasi untuk mendukung proses bisnis dan menjangkau pasar yang lebih luas, baik lokal, nasional, maupun internasional.
Digitalisasi Layanan Pemesanan pada Kedai Kopi melalui Implementasi Aplikasi Berbasis Mobile Insidini Fawwaz; Romi Fadillah Rahmat; Desilia Selvida; Nurrahmadayeni; Dewi Sartika Br Ginting
Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol. 4 No. 1 (2026): Edisi Juni
Publisher : Jurusan Teknik Sipil, Politeknik Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51510/komposit.v4i1.3306

Abstract

Perkembangan teknologi digital telah mendorong pelaku usaha mikro dan kecil untuk mengadopsi sistem layanan berbasis teknologi guna meningkatkan efisiensi operasional dan kualitas pelayanan pelanggan. Salah satu sektor yang membutuhkan transformasi digital adalah usaha kedai kopi yang masih banyak menggunakan sistem pemesanan secara manual. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk membantu mitra, yaitu sebuah kedai kopi lokal, dalam mengimplementasikan aplikasi pemesanan berbasis mobile sebagai solusi digitalisasi layanan. Metode yang digunakan meliputi observasi kebutuhan, pengembangan aplikasi, pelatihan penggunaan sistem, serta evaluasi penerapan aplikasi. Hasil kegiatan menunjukkan bahwa implementasi aplikasi mobile mampu mempercepat proses pemesanan, mengurangi kesalahan pencatatan pesanan, serta meningkatkan kepuasan pelanggan dan efisiensi operasional kedai kopi. Selain itu, mitra menunjukkan kemampuan yang baik dalam mengoperasikan aplikasi setelah pelatihan dilakukan. Program ini membuktikan bahwa digitalisasi layanan berbasis mobile dapat menjadi solusi efektif dalam meningkatkan daya saing UMKM di bidang kuliner. Temuan ini sejalan dengan berbagai penelitian yang menunjukkan bahwa aplikasi mobile dapat meningkatkan efisiensi pemesanan dan pengelolaan transaksi pada usaha kedai kopi.
Co-Authors -, Steven Abdul Ghofir Ade May Luky Harefa Agus Winarta Amir Saleh Andre Tarigan Azmi, Fadhillah Azmi, Fadhillah Bayu Angga Wijaya Candra, Tomy Charles Halim Denny Wijaya Desilia Selvida Devin Teheri Dewi Sartika Br Ginting Dharsinni, N P Dinis, Arun Fachrozi, M Reza Fadhillah Azmi FADHILLAH AZMI Faza, Sharfina Firtan, Erwin Conery Gian Nugraha Gibran, M. Khalil Hendra Hendra Husna, Meryatul Intan Permatasari Sarumaha Iola Iola Ira Farenda Sudirman Irfan Hindrawan Jeckson Febryanto Sianipar Jeremy Valtino Johanus Kurniawan Juvendi Juvendi Lisandra Veronica Tambunan Maringga , Novita Marissa Marpaung, Delima Agustina Margareta Marzuki Leo Muhathir, Muhathir N P Dharshinni Nurrahmadayeni, Nurrahmadayeni Putra, Purwa Hasan Rian Surya M. Ilham Rina Anugrahwaty Rina Anugrahwaty, Rina Rizka, Ade Romi Fadillah Rahmat Rusdianto Roestam Sagala, Jimmy Deardo Sijabat, Reivaldo Kevin Febriawan Steven Lunoto Sukurman Ndraha Sutarman Sutarman Tawarta Wiranata Gultom Winarta, Agus Winda Hartati Giawa Yawin, Helbert Yennimar, Yennimar