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All Journal PROSIDING SEMINAR NASIONAL Jurnal Spektran Indonesian Journal on Computing (Indo-JC) KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer Sinkron : Jurnal dan Penelitian Teknik Informatika Faktor Exacta JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) CCIT (Creative Communication and Innovative Technology) Journal Journal of Information System, Applied, Management, Accounting and Research Building of Informatics, Technology and Science JUTIS : Jurnal Teknik Informatika Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer JI-Tech Jurnal Sistem Komputer & Kecerdasan Buatan Jurnal Teknik Informatika (JUTIF) Journal of Electrical, Electronic, Information, and Communication Technology (JEEICT) IJECS: Indonesian Journal of Empowerment and Community Services Melek IT: Information Technology Journal JIMTEK Jurnal Pengabdian Masyarakat Bangsa Jurnal Informasi Pengabdian Masyarakat Indonesian Journal of Innovation Science and Knowledge Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK) Jejak digital: Jurnal Ilmiah Multidisiplin LOGIC: Jurnal Penelitian Informatika Jurnal Pemanfaatan Teknologi untuk Masyarakat
Muhamad Irsan
Universitas Islam Syekh Yusuf
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering 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 Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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IDENTIFIKASI WAJAH UNTUK MEMBUKA PINTU MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK Muhamad Irsan; Wahyu Abiyoto; Dadang Sujana
JURNAL ILMIAH BETRIK : Besemah Teknologi Informasi dan Komputer Vol 12 No 3 (2021): JURNAL ILMIAH BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : LPPM Sekolah Tinggi Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/betrik.v12i3.341

Abstract

In this face identification, the researcher feels the lack of effectiveness for access to doors that still use fingerprints. With this kind of identification, it will be straightforward to prevent theft. Face identification is a process where we know someone by looking at their face. In face identification for door access using the convolutional neural network method and Library, Open Computer Vision using the Python programming language and this was made using several components, namely a 5mp camera as face identification, Raspberry pi3 as a microprocessor, LCD monitor, ULN 2003 driver and Stepper motor as a tool. Automatic door mover, Push button to move the door from the inside. This tool can detect faces by verifying faces with the closest distance of 50 meters to 150 meters and to an accuracy of 83.20% with a period of 3 seconds to move the automatic sliding door by receiving facial data from the raspberry to the 2003 ULN driver to move the stepper motor with Lay 5 seconds, rotate clockwise and turn around again counterclockwise
Implementasi Aplikasi Sistem Pendukung Keputusan Kenaikan Jabatan Pegawai Negeri Sipil (Pns) Menggunakan Metode Weight Product Pada Bagian Protokol Dan Dokumentasi Setda Kota Depok Muhamad Irsan
Faktor Exacta Vol 11, No 1 (2018)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (408.778 KB) | DOI: 10.30998/faktorexacta.v11i1.2344

Abstract

Abstract. One of the main decisions faced is the process of upgrading the civil servant's office of protocol and documentation of setda Depok city. The problem that occurs is the process of determining the objectives, that are not appropriate and there is no effective methods for the process is not in accordance with the target of promotion. To support the results of the methods used are Weighted Product (WP), where each provides factors and alternatives to provide one and the other to provide a rating (ranking). The system generates decisions that will generate more to help better processes.Keywords: Weight Product, Decission Support System.
Sistem Layanan Point of Sales Services Sparepart Kendaraan Motor Pada Komunitas XYZ Muhamad Irsan; Forkas Tiroy Santos Butarbutar
Melek IT : Information Technology Journal Vol. 6 No. 2 (2020): Melek IT : Information Technology Journal
Publisher : Informatics Engineering Department-UWKS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (368.711 KB) | DOI: 10.30742/melekitjournal.v6i2.122

Abstract

Dalam penelitian ini adalah untuk memberikan solusi yang tepat guna pada komunitas yang berorintasi pada layanan perawatan suku cadang motor bagi anggota komunitas yaitu dalam bentuk POS (Point Of Sales) layanan servis suku cadang yang dilakukan anggota komunitas secara berkala. Adapun dalam proses perancangan dan membangun sistem informasi layanan servis ini adalah dengan menerapkan metode Research and Development untuk mendokumentasikan data-data yang disimpan dalam sistem berjalan dan mengaplikasikan model Agile Extreme Programming dalam mendesain sistem yang diusulkan. Pencapaian dalam implementasi sistem layanan point of sales servis spare part yang dijalankan dapat memberikan kontribusi yang memadai sehingga kesalahan-kesalahan pendataan atas penggantian berkala pada suku cadang dapat diminimalisasi sehingga informasi yang diperoleh tepat guna.
Penerapan ISO 9126 Sebagai Media Peningkatan Kualitas dan Kepercayaan Peminjaman Dana Online Pada Kredit XYZ Muhamad Irsan; Sutan Mohammad A
JI-Tech Jurnal JI-Tech Vol.17 No.1 (2021)
Publisher : Sekolah Tinggi Teknologi Informasi NIIT

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

Abstract

Tujuan yang akan dicapai dalam penelitian ini adalah membuat aplikasi android yang membantu memudahkan masyarakat mendapat peminjaman dana secara online. Aplikasi ini merupakan aplikasi yang memberikan informasi mengenai Peminjaman Dana Online secara smudah dengan berbasis OS Android yang di dalamnya juga terdapat peminjaman dana, tenor, waktu pengembalian. Pengguna dapat memilih jumlah pinjaman yang akan dipilih dengan suku bunga rendah , kemudian akan muncul hasil yang diinginkan dalam pembuatan dan pengembangan aplikasi diperlukan software yaitu Java, Android, ADT, dan Photoshop.
Rancang Bangun Monitoring Ruang CCTV Server Menggunakan Raspberry Pi Di Sekolah Pelita Harapan Lippo Village Muhamad Irsan; Edy Bill Stephen; Agus Supriyono
Jurnal SISKOM-KB (Sistem Komputer dan Kecerdasan Buatan) Vol. 2 No. 2 (2019): Volume II - Nomor 2 - Maret 2019
Publisher : Teknik Informatika

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

Abstract

Computer devices are a unit that is useful both now and in the future, not the device, but the data stored in it is very valuable both master data, transactions and reports. One of the factors that causes damaged computer components is the room temperature that exceeds the provisions, namely 21-230 celsius. The sensors used are 3 DS18B20 temperature sensors and MQ2 smoke sensor. Both types of sensors are placed inside the server room, besides that, a buzzer is also added to produce sound if the temperature is more than 250 Celsius. The whole program is connected to Raspberry Pi and uses the python program language. It is expected that with the presence of temperature and smoke sensors, the server room will be monitored so that problems regarding damaged devices can be avoided.
Pengenalan Wajah Menggunakan Opencv Untuk Validasi Peserta Ujian Penerimaan Mahasiswa Baru Ahmad Mutasil; Muhamad Irsan; Dadang Sujana
Jurnal SISKOM-KB (Sistem Komputer dan Kecerdasan Buatan) Vol. 5 No. 1 (2021): Volume V - Nomor 1 - September 2021
Publisher : Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47970/siskom-kb.v5i1.221

Abstract

Kecurangan dalam melaksanakan ujian penerimaan mahasiswa baru salah satunya merupakan kasus joki. Joki sendiri merupakan orang yang mengerjakan ujian orang lain dengan menyamar menjadi peserta ujian sebenarnya dan mendapat imbalan uang atau menggantikan peserta dengan berbagai alasan. Penelitian ini membuat suatu sistem untuk validasi peserta ujian penerimaan mahasiswa baru yang akurat menggunakan metode opencv. Dalam pengujian gambar didapatkan hasil epoch 93% akurat dengan penerimaan data menggunakan raspberry pi 4 jika data tersebut valid maka solenoid akan terbuka dengan delay 10 detik agar peserta ujian dapat masuk kelas, jika data wajah yang tidak terdaftar maka solenoid tidak akan terbuka.
Alat Kontrol Suhu Air Tangki Chrome Berbasis Internet Of Things (IoT) Menggunakan Arduino Uno dan Nodemcu Muhamad Irsan; Mas’ud Alwi Bachruddin; Syahriani Syam
Informatika Mulawarman : Jurnal Ilmiah Ilmu Komputer Vol 17, No 1 (2022): Informatika Mulawarman : Jurnal Ilmiah Ilmu Komputer
Publisher : Mulawarman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/jim.v17i1.6170

Abstract

Hardchrome sering diimplementasikan pada bidang teknik untuk membuat as hydraulic, as piston shaft , piston gas karburator, senjata api, knalpot dan lain lain. Hardchrome dalam proses pekerjannya membutuhkan temperatur suhu air yang stabil yaitu di angka 45°C sampai 65°C dan apabila suhu air dalam tangki chrome tidak sesuai dengan ketentuan perusahaan maka akan menghasilkan produk gagal atau riject bahkan tidak bisa digunakan sama sekali.Metode prototipe merupakan metode pengolahan yang digunakan untuk pembuatan sistem terstruktur. Sistem yang terstruktur harus melalui beberapa tahapan dalam proses pembuatannya. Namun apabila tahap akhir menunjukkan sistem yang dihasilkan belum lengkap atau masih terdapat cacat, maka sistem terstruktur harus melalui beberapa tahapan.alat kontrol suhu ini, peneliti membuat sebuah alat pengontrol suhu air chrome secara otomatis menggunakan sensor DS18B20, sensor HC-SR04 dan dapat dilakukan monitoring menggunakan smartphone dan Liquid Crystal Display 16 x 2. Penulis juga menggunakan sensor HC-SR04 untuk mengontrol air pada tangki chrome secara otomatis, alat ini dapat membantu pekerja dalam merawat tanamannya karena alat ini dapat memonitoring dan mengisi tangki chrome secara otomatis tanpa dikendalikan oleh manusia. Hasil dari pengujian perbedaan pada alat suhu ds18b20 dengan alat suhu toko yaitu rata-rata suhu yang di dapatkan yaitu 0.000124%. Alat ini juga dapat melakukan monitoring dengan dua pilihan, yaitu dengan menggunakan LCD 16x2 dan aplikasi PT_BENS pada smartphone. Untuk dapat melakukan monitoring alat ini diwajibkan terhubung dengan jaringan internet. Dengan adanya alat ini pengawai tidak perlu mengkhawatirkan jika suhu over heat.
Clothing Recommendation System Using the K-Nearest Neighbor Method Putra, Arya Maghrizal; Irsan, Muhamad; Fathoni, Muhammad Faris
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 2 (2024): Article Research Volume 8 Issue 2, April 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i2.13377

Abstract

The world of fashion and the way we interact with it has been transformed by advances in information and communication technology. Clothing recommendation applications have become increasingly common, helping people choose clothes that suit their style and preferences. This study suggests using the KNN Method as a basis for building a more intelligent and personalized clothing recommendation system. To address the growing need for accurate clothing recommendations that match users' preferences, The goal of this research is to create a clothing recommendation system that can help users choose more appropriately because advances in technology have made it possible to gather and examine user data more thoroughly. In this study, the clothing recommendation system was implemented using the KNN Method. We ran simulations by setting the clothing dataset's parameter K value from 3 to 11. The simulation results show that the system's performance reaches its peak at parameter value K=8. We measured the system's accuracy, precision, and recall at this K value in order to assess its performance. The results show that the clothing recommendation system uses the KNN Method. A clothing recommendation system based on the KNN Method with the parameter K=8 has proven successful in classifying clothes with an accuracy of 83,67%.
Rice Plant Disease Detection System Using Transfer Learning with MobilenetV3Large Faqih, Rifqi Raenanda; Irsan, Muhamad; Fathoni, Muhammad Faris
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 2 (2024): Article Research Volume 8 Issue 2, April 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i2.13383

Abstract

In this study, we address that foliar diseases of rice (Oryza sativa L.) pose a serious threat to agricultural productivity and propose an effective method for disease detection using Convolutional Neural Network (CNN). We use transfer learning on the MobilenetV3Large model to improve the model's performance. Our study involves a curated dataset containing images of infected rice leaves, followed by a careful preprocessing step. This dataset is then used to train a CNN model. The results show a commendable accuracy rate of over 90% and almost reaching 95% when the model is trained over 200 epochs. The model performance graph shows a consistent upward trend in accuracy coupled with decreasing loss during the training process. Furthermore, the classification results highlight the ability of the model to discriminate between different types of diseases affecting rice leaves. This study demonstrates the effectiveness of our proposed method and positions it as a valuable tool for leaf disease detection in rice. By providing faster and more accurate control measures, our approach has the potential to significantly improve agricultural productivity. The successful application of the CNN model using MobilenetV3Large highlights its adaptability and robust performance in addressing the pressing problem of rice leaf diseases and provides a promising path for future advances in precision agriculture.
Implementation of App Engine and Cloud Storage as REST API on Smart Farm Application Azkiya, Khoirul; Irsan, Muhamad; Fathoni, Muhammad Faris
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 2 (2024): Article Research Volume 8 Issue 2, April 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i2.13386

Abstract

Smart Farm is an agricultural application that uses machine learning and cloud computing technology to improve efficiency in the farming process. Technological advancement and sustainable agriculture are two essential aspects of supporting global food security. This research investigates the implementation of App Engine and Cloud Storage in developing REST API in Smart Farm applications. By utilizing cloud computing technology, such as App Engine, and cloud storage, such as Cloud Storage, we can create efficient solutions to monitor and manage agriculture better. This research implements an App Engine and Cloud Storage to develop a REST API that allows Smart Farm application users to access data and control farming devices efficiently. The authors designed, developed, and tested this system to ensure optimal performance and reliability in agricultural data collection and distribution. This method has several significant advantages. First, App Engine allows for easy scalability, ensuring the system can handle increased data demand without disruption. Secondly, Cloud Storage provides secure and scalable storage for agricultural data, which can be accessed from anywhere. This provides easy and quick access to critical data for farmers. Moreover, the use of cloud technology also reduces infrastructure and maintenance costs. The developed system integrates the App Engine and Cloud Storage with the Smart Farm application. The App Engine is a processing engine that receives user requests via the REST API, processes the required data, and provides appropriate responses. Like image data, farm data is stored and managed on Cloud Storage. Users can access this data through the Smart Farm app or other devices, enabling better farming monitoring and decision-making.
Co-Authors Abyan Rauf Iskandar Achmad Lukman, Achmad Adhitya, Venus Lidzikri Affikri, Muhammad Afrizal, Reza Agus Supriyono AHMAD HUSAIN Ahmad Muhtiyar Ahmad Mutasil Alfian, Muhammad Ichsan Andika, Muhammad Firman Ari Irawan ARIF, SUTAN MOHAMMAD Aruan, Meri Chrismes Asep Pujiyono, Putra Wira Pratama Ramadhan Aswin Fitriansyah, Aswin Azkiya, Khoirul B, Forkas Tiroy Santos Bramantara Yudha Butar, Forkas Tiroy Santos Butar-butar, Forkas Tiroy Santos Candra Pradipta Daniel Dante Pinontoan Dawani, Febri Diky Zakaria Dina Fitria Murad Edy Bill Stephen Ega Safitrah Erick Fernando Faqih, Rifqi Raenanda Farisya Setiadi Fitra Achmad Ramadhan Forkas T.S.B Forkas Tiroy Santos Butarbutar Galih Kusuma Wiranata Galih Rizky Syahputra Gregorio Bonggal Noveno Alvito Husain, Ahmad Indrato Harsadi Indrato Harsadi Intan Gita Aprilia Jadied, Erwid Mustofa Johan Budiman Kristoforus Joseph Anciano Lusi Ariyani Maimunah Maimunah Mas’ud Alwi Bachruddin Maulana, Rheza Muhammad Faris Fathoni Nesya Sulistyawati Nia Komalasari Nugroho, Asep Hardiyanto Nur Ichwannudin Pratama, Rakha Satria Putra, Arya Maghrizal RAMDAN, ADE SYAHRUL Rio Guntur Utomo Santos B, Forkas Tiroy Santos. B , Forkas Tiroy Saputri, Sekar Dewi Harnum Satria Ramadhan Silvia Ayunda Murad Sujana, Dadang Sukisno Sukisno, Sukisno Suparjo, Addin Amanatulloh Sutan Mohammad A Syahriani Syam T.S.B, Forkas Tria Hadi Kusmanto Vivi Candy Viditya Wahyu Abiyoto Windyasari, Vina Septiana