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Journal : Majalah Ilmiah METHODA

 1 
Rancang Bangun Sistem Smart Parking Berbasis Mobile Menggunakan Mikrokontroler Esp32 Saputra, Ardi; Zahfira, Dayanah; Sidabutar, Honey Christine; Irviantina, Syanti; Halim, Apriyanto
Majalah Ilmiah METHODA Vol. 14 No. 3 (2024): Majalah Ilmiah METHODA
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methoda.Vol14No3.pp306-317

Abstract

Most universities manage parking for students and lecturers such as motorcycles and cars. But currently, there are many universities that still use manual methods, Mikroskil University is one of the private universities in Medan City which also still uses manual methods by checking the Vehicle Number Certificate by Mikroskil security officers. This inspection can result in a long queue at the exit of the parking area. In addition, students also have difficulty finding available parking spots in the parking area because there is no system that provides directions to see the availability of parking spots. Therefore, in this study a Smart Parking system was built using the application of the Internet of Things (IoT) system by creating a portal with a QR code scanner and adding a light sensor in each parking spot. The sensor testing results show that the light sensor is able to display the results according to the condition of the vehicle and then send the parking spot data to the application server, then based on the black box software testing, it is concluded that the software functionally runs well and produces results as expected. User testing conducted by students also shows the results as expected.
Deteksi Bahasa Isyarat Berdasarkan Abjad Menggunakan Metode LSTM (Long Short Term Memory) Irviantina, Syanti; Wijaya, Dela Agustri; Situmorang, Desiana R.; Nasution, Nazhiifah Mawaddah Juliyanda
Majalah Ilmiah METHODA Vol. 14 No. 3 (2024): Majalah Ilmiah METHODA
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methoda.Vol14No3.pp371-376

Abstract

The LSTM based sign language detection system combined with the use of mediapipe can recognize hand gestures in real time with high accuracy. Alphabet based sign language can use this model to collect temporal patterns of hand gestures. The data used in this study are 30 sample for each alphabet based on American Sign Language (ASL). The data is processed through landmark detection on the hand using mediapipe and opencv, keypoints extraction, folder creation and pre – processing with 80% data divisior for training data and 20 % data for testing data. Using Adam optimization, categorical crossentropy loss function and evaluation metric. The model was trained with 100 epochs and evaluated using confusion matrix. The evaluation results showed that the LSTM model performed well with an accuracy of 98%.
Identifikasi Potensi Penipuan pada Transaksi Bank Menggunakan K-Means Clustering Hutagalung, Jessica Uly Sari; Sihombing, Kristin Trivena; Hutabarat, Michael Owen; Irviantina, Syanti
Majalah Ilmiah METHODA Vol. 14 No. 3 (2024): Majalah Ilmiah METHODA
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methoda.Vol14No3.pp392-395

Abstract

Increasing cases of fraud in bank transactions are a serious concern for financial institutions, resulting in significant economic losses and undermining customer trust. This calls for identifying suspicious transaction patterns through machine-learning approaches to mitigate the risk of fraud. The methods used include problem identification, transaction data collection, and preprocessing to clean and prepare the data and after that, applying the K-Means Clustering algorithm to group transactions based on similar characteristics. The evaluation result obtained in this study using the Silhouette Score is 0.42, indicating a fairly good separation between normal and suspicious transactions. This research is expected to contribute to the development of a more accurate and efficient machine learning-based fraud detection system in banking institutions.
Rancang Bangun Sistem Smart Parking Berbasis Mobile Menggunakan Mikrokontroler Esp32 Saputra, Ardi; Zahfira, Dayanah; Sidabutar, Honey Christine; Irviantina, Syanti; Halim, Apriyanto
Majalah Ilmiah METHODA Vol. 14 No. 3 (2024): Majalah Ilmiah METHODA
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methoda.Vol14No3.pp306-317

Abstract

Most universities manage parking for students and lecturers such as motorcycles and cars. But currently, there are many universities that still use manual methods, Mikroskil University is one of the private universities in Medan City which also still uses manual methods by checking the Vehicle Number Certificate by Mikroskil security officers. This inspection can result in a long queue at the exit of the parking area. In addition, students also have difficulty finding available parking spots in the parking area because there is no system that provides directions to see the availability of parking spots. Therefore, in this study a Smart Parking system was built using the application of the Internet of Things (IoT) system by creating a portal with a QR code scanner and adding a light sensor in each parking spot. The sensor testing results show that the light sensor is able to display the results according to the condition of the vehicle and then send the parking spot data to the application server, then based on the black box software testing, it is concluded that the software functionally runs well and produces results as expected. User testing conducted by students also shows the results as expected.
Co-Authors Adriansyah, R. A. Fattah Apriyanto Halim Bate`e, David Br Ginting, Geby Laurent Carsten, Carsten Edmund, Edmund Erlanie Suparnap Florida N. Damanik Hutabarat, Michael Owen Hutagalung, Jessica Uly Sari Hutagaol, Grace Helena Jeslim, Jeslim Jordan, Alvito Kristian Telambanua Liman, Felix Lubis, Rangga Aprilla Manurung, Stieven B.L. Nasution, Nazhiifah Mawaddah Juliyanda Parapat, Yehezkiel Fernandes R. A. Fattah Adriansyah Saputra, Ardi Satria, Krismulia Wignya Sembiring, Rinawati Sidabutar, Honey Christine Sihombing, Kristin Trivena Sinaga, Frans Mikael Sintiya, Cindy Sio Jurnalis Pipin Sitompul, Indra Maruba Situmorang, Desiana R. Sufinata, Sufiandy Wijaya, Dela Agustri Winardi, Sunaryo Zahfira, Dayanah