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All Journal Voteteknika (Vocational Teknik Elektronika dan Informatika) Jurnal Ilmiah KOMPUTASI JIKO (Jurnal Informatika dan Komputer) Compiler MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer INTEK: Informatika dan Teknologi Informasi Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Scientific Journal of Informatics International Journal of Engineering, Technology and Natural Sciences (IJETS) International Journal of Advances in Data and Information Systems Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) Jurnal Media Informatika Jurnal Dinamika Informatika (JDI) Jurnal Informatika Teknologi dan Sains (Jinteks) Maneggio
Suhirman
Universitas Teknologi Yogyakarta
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Other

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ANALISIS PERBANDINGAN KINERJA MODEL LONG SHORT-TERM MEMORY DAN RECURRENT NEURAL NETWORK DALAM PREDIKSI CUACA BERBASIS DATA CUACA REAL-TIME Abdurrahman Abdurrahman; Suhirman Suhirman
Jurnal Ilmiah Informatika Vol. 10 No. 2 (2025): Jurnal Ilmiah Informatika
Publisher : Department of Science and Technology Ibrahimy University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/.v10i2.8209

Abstract

Unpredictable weather changes pose a major challenge in various sectors, including agriculture, transportation, and construction. Inaccurate rainfall predictions, especially on a local scale, often hamper community activities and decision-making that depend on weather conditions. This study aims to compare the performance of two artificial neural network models, namely Long Short-Term Memory (LSTM) and Recurrent Neural Network (RNN), in predicting rainfall based on hourly weather data collected in real-time using an ESP32 microcontroller equipped with BME280 and BH1750 sensors. The variables used include air temperature, humidity, rainfall, and light intensity. Both models were trained to predict weather conditions for the next few hours based on observation data that had been processed and normalized numerically. The evaluation was using three main metrics, namely Mean Squared Error (MSE), Mean Absolute Error (MAE), and the coefficient of determination (R²). The results shows that the LSTM model performed better with an MAE of 0.684, MSE of 0.7343, and R² of 0.2421, while the RNN model obtained an MAE of 0.2187, MSE of 0.3422, and R² of 0.8213. These findings prove that LSTM is more stable, efficient, and accurate in capturing the temporal patterns of weather data. This system has the potential to become the basis for developing local weather forecasts based on real-time data that are more adaptive to environmental changes
Otsu Method for Chicken Egg Embryo Detection based-on Increase Image Quality Suhirman Suhirman; Shoffan Saifullah; Ahmad Tri Hidayat; Rr Hajar Puji Sejati
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 21 No. 2 (2022)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v21i2.1724

Abstract

Detection of chicken egg embryos using image processing has limitations and needs some processes for improvement. By human vision, the previous process used binoculars and candling using light/beams directed at the chicken eggs in the incubator. In this study, we propose the application of image segmentation using the Otsu method in detecting chicken egg embryos. This method uses image segmentation with increased image quality (preprocessing) by several methods such as resizing, grayscaling, image adjustment, and image enhancement. These processes produce a better image and can be used for input in the segmentation process. In addition, this study compares several segmentation methods in detecting chicken egg embryos, such as thresholding, Otsu basic, and k-means clustering. The results show that our proposed method produced segmentation images to detect chicken egg embryos of 200 datasets images. This method has a faster process and can create a uniform segmentation than other methods. However, other methods can also detect chicken egg embryos. The method’s accuracy proposed in this study increased by 1.5% compared to other methods. In addition, the resulting SSIM value has a percentage close to and more than 90%, which means that the segmentation of the results obtained can be used to detect chicken egg embryos.
Implementasi Metode Data Encryption Standard (Des) Untuk Enkripsi Dan Dekripsi Data Kependudukan Desa Wonoharjo tri agustina; Suhirman Suhirman
Jurnal Dinamika Informatika Vol. 14 No. 1 (2025): Jurnal Dinamika Informatika Volume 14 Nomor 1
Publisher : Program Studi Informatika Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/jdi.v14i1.246

Abstract

Wonoharjo Village is one of the villages in Kemusu sub-district, Boyolali district, Central Java province with a population of 3,208 people. The population data is currently only stored in the village computer folder which can be accessed by anyone and without any special security to secure the data. This is certainly very risky if there are irresponsible people accessing the computer and misusing population data for personal gain. To overcome these problems, a system was created that uses the Data Encryption Standard (DES) algorithm as a method to secure resident data. Data security is done through an encryption process using a symmetric key when resident data is added to the system. Based on the results of the research that has been done, the resident data is successfully encrypted properly in the database with a ciphertext form that is difficult to understand. So it can be concluded that the system created can secure resident data from data leakage and misuse compared to the previous system.
MOBILE APPLICATION DEVELOPMENT FOR INVENTORY MANAGEMENT USING BARCODE TECHNOLOGY Revy Ravly Sabbathino Sahetapy; Suhirman Suhirman
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 7 No 4 (2025): EDISI 26
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v7i4.6929

Abstract

Efficient inventory management plays a crucial role in ensuring accuracy, reducing operational delays, and supporting data-driven decision-making. This study develops a mobile inventory management application that integrates barcode scanning technology to enhance process efficiency. The research method includes requirement analysis, system design, development, and system evaluation. System testing involves black-box testing for functional validation, performance testing to measure response time, and usability evaluation using the System Usability Scale (SUS). Experimental results show that the application increases data entry speed by 43%, achieves barcode scanning accuracy up to 98.5%, and reduces human input errors by 72% compared to manual recording. Performance testing indicates an average response time of 1.2 seconds, meeting mobile application usability standards. These findings demonstrate that the proposed system significantly improves accuracy, speed, and reliability in inventory operations. The scientific contribution of this research is the formulation of a validated and replicable mobile–barcode integration model optimized for small and medium-scale businesses requiring real-time inventory control.
STUDI LITERATUR AUDIT ISO 27001, COBIT, DAN ITIL PADA LAYANAN SISTEM INFORMASI Kristianto Pratama Dessan Putra; Joko Sutopo; Suhirman Suhirman
Jurnal Media Informatika Vol. 6 No. 6 (2025): Edisi Desember 2025
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jumin.v6i6.7446

Abstract

Proses audit memegang peranan penting dalam evaluasi suatu layanan informasi. Dengan adanya proses audit, celah-celah kecurangan ataupun kendala-kendala dapat diketahui dan melalui proses audit juga dapat memberikan rekomendasi perbaikan terhadap sistem informasi tersebut. Proses audit dapat memberikan perbaikan pada proses bisnis agar dapat berjalan lebih efektif dan efisien, serta minim dari risiko. Ada berbagai macam kerangka kerja audit sistem informasi, diantaranya ISO 27001, COBIT, dan ITIL dengan fokus dan karakteristik yang berbeda-beda. Menjadi hal penting untuk mengetahui perbedaan dari masing-masing kerangka kerja audit tersebut sehingga proses audit yang dipilih sesuatu dengan kebutuhan dari sistem informasi tersebut. Oleh karena itu, penelitian ini bertujuan untuk memberikan sumber referensi untuk memilih kerangka kerja audit sistem informasi yang tepat sesuai kebutuhan dari masing-masing pengguna.Hasil dari penelitian adalah ISO 27001 memiliki fokus pada keamanan dan perlindungan data sistem informasi, COBIT memiliki fokus pada tata kelola dan manajemen risiko sistem informasi, dan ITIL memiliki fokus pada peningkatan kualitas layanan dan keberlangsungan peningkatan sistem informasi. Selain itu, penelitian ini juga memberikan informasi latar belakang, kelebihan – kekurangan, serta langkah-langkah implementasi dari masing-masing kerangka kerja audit tersebut. Diharapkan penelitian ini dapat menjadi sumber referensi untuk menentukan kebutuhan audit dari masing-masing sistem informasi.
Decision Support System for Business Location Selection: Integration of MCDM Methods Rakhmat Sigit Widodo; Suhirman Suhirman; Nur Wening
Maneggio Vol. 3 No. 2 (2026): APRIL- MJ
Publisher : PT. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/8h1rb479

Abstract

Business location selection is a critical strategic decision that significantly influences operational efficiency, cost structure, and long-term competitiveness. The increasing complexity of decision criteria requires structured approaches that integrate analytical methods and decision support technologies. This study aims to analyze the effectiveness of integrating Multi-Criteria Decision Making (MCDM) methods within a Decision Support System (DSS) for business location selection. The research adopts a quantitative approach with a Design Science Research framework, involving data collection through questionnaires, expert judgment, and secondary data. The analysis combines AHP for criteria weighting and TOPSIS for ranking alternative locations. The results indicate that the integrated DSS successfully generates clear and objective rankings, with the best location identified based on comprehensive evaluation of multiple criteria. The findings also demonstrate that the system effectively handles trade-offs between conflicting factors such as cost, accessibility, and infrastructure. In conclusion, the integration of MCDM methods within a DSS enhances decision accuracy, reduces subjectivity, and provides practical support for selecting optimal business locations in complex environments
Co-Authors A.Djoko Budiyanto Abdurrahman Abdurrahman Adam Aji Agus Rakhmadi Mido Agus Sujarwadi Ahmad Tri Hidayat Arif Amrulloh Aziz Perdana Baiq Nurul Azmi Devi Ratnasari Erik Iman HU Gunawan Wibisono Joko Sutopo Joseph Carlo K Kristianto Pratama Dessan Putra Muhammad Arifai Nurrizki Muhammad Fatu Rohim Nararya Budiyono Natan Derek Nur Wening Rakhmat Sigit Widodo Revy Ravly Sabbathino Sahetapy Rian Oktafiani Rr. Hajar Sejati Saifullah, Shoffan Sutarman Suyoto Suyoto tri agustina Tri Untoro, Iwan Hartadi Wahyu Adjie Saputra Wintolo, Hero