Article Per Year (5 Year)
p-Index From 2021 - 2026
1.686
P-Index
This Author published in this journals
All Journal JOURNAL OF INDUSTRIAL AND MANUFACTURE ENGINEERING JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Pelita Masyarakat INCODING: Journal of Informatics and Computer Science Engineering Jurnal Ilmiah Teknik Informatika & Elektro (JITEK)
Susilawati Susilawati
Universitas Medan Area
Humanities Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Environmental Science Physics Public Health Social Sciences

Published : 15 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 15 Documents
Search

 1   2 
Perancangan Prototype Pemberi Pakan Kucing Otomatis Berdasarkan Umur Berbasis Sms Gateway Bayu Jaka Valendio; Susilawati Susilawati; Zulfikar Sembiring
Jurnal Ilmiah Teknik Informatika & Elektro (JITEK) Vol 1, No 2 (2022): Jurnal Ilmiah Teknik Informatika & Elektro (JITEK)
Publisher : Jurnal Ilmiah Teknik Informatika & Elektro (JITEK)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jitek.v1i2.1469

Abstract

Of the several animals that we know, the cat is one of the most popular pets in today's society. However, in order to keep the pet cat in good health, cat keeper must pay more attention to the food schedule otherwise the cat will be susceptible to disease, so it can harm the cat itself. In today's modern era, many things can be designed to make activities easier. One of them is the design of a prototype automatic cat feeder. The purpose of this research is to design and make an automatic cat feeding device using Arduino Uno R3 as the brain in this series which then uses Arduino IDE software and C++ programming discussion to input the data that will be needed. Furthermore, this tool will also be directly connected to the RTC (Real Time Clock) as a benchmark for the hour and date and the servo motor as a valve controller, so that the feeder will open according to the input schedule. This tool also uses the GPRS Shield 800L as a sender of SMS notifications when the prediction feed is running out. Finally, this one set of tools also uses a step down module which can be used as a voltage adjustment for the feeder. This tool can later be useful, especially for cat shelter owners/keepers because it can provide feed according to a time and schedule whose own dose can be inputted based on age. The advantage of this tool is that it can last for approximately 2 hours without electricity (possibly when the power goes out) specifically for sending notifications.
Perancangan Sistem Informasi Manajemen Prakerin Bebasis Web Pada Dinas Koperasi dan UKM Provinsi Sumatera Utara Jecksond Hutagalung; Susilawati Susilawati
Jurnal Ilmiah Teknik Informatika & Elektro (JITEK) Vol 2, No 1 (2023): Jurnal Ilmiah Teknik Informatika & Elektro (JITEK)
Publisher : Jurnal Ilmiah Teknik Informatika & Elektro (JITEK)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jitek.v2i1.1896

Abstract

Kerja praktek adalah kegiatan mahasiswa yang memperoleh pengetahuan dan pengalaman praktis di lapangan atas dasar keilmuan yang diteliti. Saat ini proses pendaftaran kerja praktek pada Dinas Koperasi dan UKM Provinsi Sumatera Utara dilakukan secara manual. Banyaknya peserta dan tempat asal calon peserta yang cukup jauh, yang ingin melakukan Prakerin di Dinas Koperasi Dan UKM Provinsi Sumatera Utara sehingga petugas kerap kewalahan dalam membuat pendataan peserta, mendata pendaftaran dan penempatan peserta parkerin. Diposisi tempat Parakerin yang kerap tidak sesuai dengan program studi calon peserta serta belum adanya sistem yang dapat menghasilkan laporan data penerimaan prakerin sehingga mengakibatkan sebagian pendataan arsip prakerin rusak karena beberapa kesalahan teknis dan membutuhkan waktu yang lama. Oleh sebab itu dilakukan kerja praktek ini dengan tujuan untuk membuat rancangan suatu sistem informasi manajemen prakerin. Sistem informasi ini dirancang  untuk membantu dan memudahkan staf pegawai Dinas Koperasi dan UKM Sumatera Utara dalam pengelolaan data peserta prakerin mulai dari pengelolaan data peserta prakerin, proses pendaftaran sampai proses penempatan peserta prakerin.
Pengenalan Tulisan Tangan Angka Pada Dataset MNIST Menggunakan Arsitektur SqueezeNet Elva Andrian; Susilawati Susilawati
INCODING: Journal of Informatics and Computer Science Engineering Vol 5, No 2 (2025): INCODING OKTOBER
Publisher : Mahesa Research Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34007/incoding.v5i2.828

Abstract

Handwritten digit recognition is a process of recognizing and identifying numbers using artificial intelligence algorithms such as Convolutional Neural Network (CNN). The application of handwritten number recognition can be developed and used in identifying postal code numbers on letters, identifying nominal amounts on bank checks and others. However, before carrying out the application, model training is needed on the algorithm that will be used so that number recognition is accurate because the problem faced in recognizing handwritten numbers is that images or written data are diverse and difficult to identify. In this study, the CNN algorithm was used with the SquuezeNet architecture with the MNIST (Modified National Institute of Standards and Technology) dataset which is divided into 60,000 training data and 10,000 test data. The platform used to carry out the training and testing process is Google Colab. Training was carried out 12 times using hyperparameters such as Optimizer namely Adam, SGD, and RMSprop, Learning rate namely 0.1, 0.01, 0.001, 0.0001 and Batch Size 64. Based on the research results from 12 trained models, 1 model was obtained with the best results on the Optimizer namely Adam, Learning rate namely 0.0001 and Batch Size 64 resulting in an accuracy of 99.11%.
Penerapan Arsitektur EfficientNet dalam Model CNN untuk Optimalisasi Klasifikasi Gambar Fashion pada Dataset Fashion MNIST Shimon Abert Panggabean; Susilawati Susilawati
INCODING: Journal of Informatics and Computer Science Engineering Vol 5, No 2 (2025): INCODING OKTOBER
Publisher : Mahesa Research Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34007/incoding.v5i2.980

Abstract

This study evaluates the performance of the EfficientNet architecture for image classification on Fashion-MNIST (70,000 grayscale images, 10 classes). The training/testing split follows the standard 60,000/10,000 scheme, with an internal validation subset drawn from the training data. Preprocessing resizes images to match EfficientNet’s input requirements. The model is trained with the Adam optimizer (learning rate 0.001), batch size 32, for 20 epochs, with data augmentation and metric monitoring. Evaluation on the test set employs accuracy, precision, recall, F1-score, and the confusion matrix. The results show accuracy = 0.9429, precision = 0.9426, recall = 0.9429, and F1-score = 0.9425. Per-class analysis indicates that Trouser and Bag achieve the highest performance, while T-shirt/top and Shirt are most challenging due to visual similarity, as reflected in the confusion matrix. Compared with several baselines standard CNN, CNN-3-128, VGG16, XG-ViT (Vision Transformer), and DRQCNN EfficientNet attains the best overall score, although its advantage is relatively marginal; hence, practical significance depends on application goals.
Analisis Kondisi Polusi Udara Berdasarkan Perubahan Waktu Menggunakan IoT dan Logika Fuzzy: Solusi Mencegah Dampak Polusi Terhadap Kesehatan Muhammad Yudha; Susilawati Susilawati
INCODING: Journal of Informatics and Computer Science Engineering Vol 5, No 2 (2025): INCODING OKTOBER
Publisher : Mahesa Research Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34007/incoding.v5i2.862

Abstract

Identifying air pollution is a serious problem in various cities including Medan city. In this article, the use of IoT sensor-based mamdani fuzzy inference rules to identify air pollution in Medan city is discussed. Data collection is done through devices and systems built using IoT sensor devices. The IoT devices are installed in three different locations namely on Sei Deli, Tembung and KIM roads to monitor and collect air pollution data in real-time. Fuzzy inference rules are then used to process the sensor data and identify air pollution based on predefined threshold values. In addition to pollution factors, the determination of the time scale, namely early morning, morning, afternoon, evening and night is also a variable to identify air pollution based on time. The results show that the system built can identify air pollution based on data obtained through 3 devices with an average value of pollution in the "Medium" category.
Co-Authors Bayu Jaka Valendio Dian Noviandri Dian Wahyudi Eky Ermal Muttaqin Elva Andrian Fordinand Halomoan Pasaribu Jecksond Hutagalung Marali Banjarnahor Muhammad Yudha Muhathir, Muhathir Ninny Asnidar Siregar Nurul Khairina Rahmad B.Y Syah Rizki Muliono Shimon Abert Panggabean Sirmas Munte Suswati Suswati Yudi Daeng Polewangi Yuni Syahputri Zulfikar Sembiring