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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jupiter Prosiding Semnastek Annual Research Seminar JOIN (Jurnal Online Informatika) RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Jurnal Ilmiah Matrik Jurnal Sisfokom (Sistem Informasi dan Komputer) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) JOISIE (Journal Of Information Systems And Informatics Engineering) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Journal of Information Systems and Informatics Jurnal Teknologi Dan Sistem Informasi Bisnis Zonasi: Jurnal Sistem Informasi Indonesian Journal of Electrical Engineering and Computer Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Jurnal Teknologi Informatika dan Komputer Journal of Computer and Information Systems Ampera Jurnal Pengembangan Sistem Informasi dan Informatika Jurnal Media Informatika Jurnal Nasional Pengabdian Masyarakat International Journal Software Engineering and Computer Science (IJSECS) Jurnal Ilmu Komputer dan Sistem Informasi RESLAJ: Religion Education Social Laa Roiba Journal Ngabdimas Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer
Ilman Zuhri Yadi
Universitas Bina Darma
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Social Sciences Other

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The Impact of Data Augmentation Techniques on the Recognition of Script Images in Deep Learning Models Sapitri, Wulan; Kunang, Yesi Novaria; Yadi, Ilman Zuhri; Mahmud, Mahmud
JOIN (Jurnal Online Informatika) Vol 8 No 2 (2023)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v8i2.1073

Abstract

Deep learning technology is widely used for recognizing character images, including various regional characters and diverse ancient scripts. Deep learning models require large data sets to recognize images accurately. However, creating a dataset has limitations in terms of quantity, including the Komering script dataset used in this study. Data augmentation techniques can be applied to expand the dataset by modifying existing images to increase data diversity. This study aims to investigate the impact of augmentation techniques on the performance of deep learning models in the case of Komering script recognition. The dataset consists of 500 images for five classes of Komering script characters. Three augmentation techniques, namely random rotation, height shift, and width shift, were applied to the five characters, which were then used to test the model trained to recognize characters in the Komering dataset. This research contributes to providing insights into the effect of augmentation techniques on robust confidence prediction of deep learning models for recognizing newly augmented data. The results demonstrate that the deep learning model can recognize modified data using augmentation techniques with an average accuracy of 80.05%.
Analisis Pengukuran Kesiapan Pengguna Website SIKN di Dinas Kearsipan Provinsi Sumatera Selatan Menggunakan Metode Technology Readiness Index (TRI) Rahmadini, Aulia Nurul; Yulianingsih, Evi; Yadi, Ilman Zuhri; Amalia, Rahayu
Jurnal Teknologi Informatika dan Komputer Vol. 9 No. 2 (2023): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v9i2.1797

Abstract

Penelitian ini mengukur tingkat kesiapan sistem informasi kearsipan nasional (SIKN) di Dinas Kearsipan Provisi Sumatera Selatan (studi kasus lembaga kearsipan daerah/LKD). Setelah melakukan studi literatur, penelitian ini dimulai dengan menyebarkan kuesioner yang disusun berdasarkan variabel yang ada pada metode TRI (Technology Readinnes Index) kepada 50 responden, dari 17 Lembaga Kearsipan Daerah. Metode TRI merupakan salah satu metode yang dapat digunakan untuk mengukur kesiapan pengguna website. Hasil dari pengisian kuesioner oleh responden diuji nilai validitas serta reliabilitasnya untuk mendapatkan variabel dan indikator yang valid dan juga reliabel. Penelitian ini menggunakan sampel jenuh/sampel sensus untuk menentukan sampel. Indikator yang di gunakan dalam penelitian ini adalah Optimis (Optimism), Inovasi (Innovativeness), Ketidaknyamanan (Discomfort), dan Ketidakamanan (Insecurity). Indikator yang digunakan terdiri dari 23 butir pernyataan dan terbagi dalam 4 dimensi diantaranya, 4 indikator pada variabel optimism, 5 indikator dari variabel innovativenes, 7 indikator dari variabel discomfort, dan 7 indikator dari variabel insecurity. Hasil dari pengujian menggunakan TRI, didapatkan hasil tingkat kesiapan pengguna terhadap website SIKN tergolong kedalam kategori Medium. Hal tersebut diperoleh dengan melihat hasil dari total TRI yang didapatkan yaitu 3,51. Nilai tersebut berada diantara 2,89 sampai 3,51 (2,90 ≤ TRI ≤ 3,51). Variabel Optimism mendominasi skor total TRI dengan nilai 1,20 yang menunjukkan bahwa para pengguna  merasa optimis dan memiliki pandangan yang positif terhadap website SIKN mereka percaya bahwa SIKN dapat memberikan efek positif terhadap pekerjaan mereka.
Implementasi Sistem Informasi Pendaftaran Rehabilitasi di Satuan Reserse Narkoba Polrestabes Palembang Berbasis Web Hermawan, Aldi; Andri, Andri; Yadi, Ilman Zuhri; Irawan, Dedi
Jurnal Teknologi Informatika dan Komputer Vol. 10 No. 1 (2024): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v10i1.1843

Abstract

Dalam era teknologi, pengembangan sistem informasi menjadi penting. Di Satres Narkoba Polrestabes Palembang, proses pendaftaran rehabilitasi masih manual dan rentan kesalahan. Untuk mengatasi masalah ini, solusi berbasis web menjadi alternatif yang memungkinkan pendaftaran online yang efisien. Dalam konteks ini, metode Rapid Application Development (RAD) dapat mempercepat pengembangan sistem. Metode ini memfasilitasi interaksi pengguna yang aktif dan fleksibel, sehingga mempercepat implementasi sistem. Selain itu, penerapan metode First-In-First-Out (FIFO) dalam mengatur jadwal dokter juga vital. Metode FIFO memastikan prioritas pelayanan berdasarkan waktu pendaftaran, meningkatkan keadilan dan efisiensi. Penelitian ini bertujuan merancang dan mengimplementasikan Sistem Informasi Pendaftaran Rehabilitasi berbasis web di Sat Resnarkoba, mengadopsi metode RAD dan penerapan FIFO. Penelitian ini berhasil mengimplementasikan metode RAD dalam pengembangan Sistem Informasi Pendaftaran Rehabilitasi berbasis web di Sat Resnarkoba Polrestabes Palembang. Pendekatan ini memungkinkan iterasi yang cepat dan efektif dalam pengembangan, memfasilitasi komunikasi yang baik antara pemangku kepentingan, serta memungkinkan penyesuaian yang lebih baik terhadap kebutuhan yang berkembang. Hasil penelitian menunjukkan bahwa sistem informasi yang diimplementasikan memberikan manfaat yang signifikan dalam mengelola proses rehabilitasi. Antarmuka pengguna yang intuitif dan responsif pada halaman-halaman menu, serta adopsi metode FIFO dalam penjadwalan terapi menjadi nilai tambah. Halaman Tampilan Menu Jawaban Pasien juga memungkinkan dokter dan admin untuk berinteraksi secara efektif dengan pasien, meningkatkan komunikasi dan respons yang tepat terhadap kebutuhan pasien.
Besemah Language Translation Machine Model Based on Machine Learning with Recurrent Neural Network (RNN) Model Algorithm Andika, Muhamad; Kunang, Yesi Novaria; Yadi, Ilman Zuhri; Purnamasari, Susan Dian
Jurnal Teknologi Informatika dan Komputer Vol. 11 No. 1 (2025): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v11i1.2614

Abstract

Indonesia consists of various tribes with their respective regional languages, one of which is the Besemah tribe in South Sumatra Province with its language culture, namely the Besemah Language. Until now, the Besemah Language is still used by the Besemah tribe, but over time the number of Besemah Language speakers has decreased, plus most of the wider community does not know what the Besemah Language is. Machine Learning is a part of artificial intelligence that is often used to solve various problems. Machine Learning involves the use of computers and mathematical algorithms that use data to make predictions in the future. Machine translation is a tool that can convert one language to another. This study aims to collect datasets in the form of sentences and words from the Besemah Language, then create a Besemah Language translation machine to Indonesian and vice versa. In the research conducted, the approach used is Experimental Research in Machine Learning. Experimental research in machine learning for language translation is a research approach that involves designing and implementing a series of experiments to test and validate the performance of the language translation model. In this study, Neural Machine Translation (NMT) technology was applied with the Recurrent Neural Network (RNN) approach. The results of the study showed that the val_accuracy value for the Besemah-Indonesian translation was 0.8469 and for Indonesia-Besemah was 0.8492, in the translation trial conducted using the RNN model, 100 epochs, batch size 64, and validation split of 0.2.
Implementasi Mikhmon dengan Infrastruktur Fiber to the Home Sebagai Internet Service Provider RT RW Net Untuk Sekolah dan Rumah Penduduk Kusuma, Doni; Suryayusra, Suryayusra; Yadi, Ilman Zuhri; Irawan, Dedi
Journal of Information System Research (JOSH) Vol 5 No 4 (2024): Juli 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i4.5357

Abstract

With the internet, information that is difficult to information is now only a few moments away. This makes existing communication becomes faster so that the flow of information becomes more accessible to the community. more easily reached by the community. In Muara Merang village, based on the needs of residents and students who need internet network access with the existence of several obstacles, namely areas that have not been covered by network providers and service providers. covered by the provider network and official internet service providers are still quite expensive. expensive. Therefore, building RT RW Net with fiber to the home infrastructure (FTTH) infrastructure, using the FTTH-based RT-RW NET system where according to the survey this system is more durable, effective, and also easy to maintain. Methodology methodology used is Questionnaire. As for some of the tools that must be used are Mikrotik, HTB, 6 FO 2 LAN Switch, Fiber Optic Cable, Patch Cord, Splicer, Spliter. This transmission media has proven to be reliable in the ability to carry data, in this case proven to the user. data, in this case it is evident that the PPPoE user Wifirumahapri gets a speed of 10 Mbps and is in accordance with the results. speed of 10 Mbps and is in accordance with the profile package created on the server on the proxy and Hotspot testing in proxy and Hotspot testing is running well according to the package made in Mikhmon, the results of the The implementation results of the design show that this network infrastructure has succeeded in making a positive contribution to the This network infrastructure has successfully made a positive contribution to increasing internet access at the muara merang village level.
Pendampingan Pengembangan Sistem Pengarsipan di Kantor Camat Pedamaran Kabupaten Ogan Komering Ilir Ziqrullah, Muhammad Hafiz; Kunang, Yesi Novaria; Yadi, Ilman Zuhri; afriyudi, afriyudi
Jurnal Nasional Pengabdian Masyarakat Vol. 5 No. 1 (2024): Jurnal Nasional Pengabdian Masyarakat
Publisher : Training & Research Institute - Jeramba Ilmu Sukses

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47747/jnpm.v5i1.1611

Abstract

Archives are an essential system that must be possessed by an organization, serving as evidence, evaluation material, and planning material for future activities. Disorganized and undocumented archives in an institution will result in difficulties in searching for archives when needed. The Pedamaran Sub-district office in South Sumatera is facing challenges in rechecking archives due to the stacking of physical documents. To help address this issue, the writing team provides a solution by designing and developing a web-based archiving system. This system is organized based on categories to facilitate the input and checking of documents. After the development of the archiving system for the Pedamaran Sub-district office, further assistance is provided to ensure that officials at the Pedamaran Sub-district office can utilize the created archiving system
Image Segmentation of East OKU Script Using the Bounding Box Method for Cultural Heritage Digitization M Fikri; Ilman Zuhri Yadi; Yesi Novaria Kunang; Leon Andretti Abdillah
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 2 (2025): AUGUST 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i2.4045

Abstract

East Ogan Komering Ulu (OKU) is distinguished by its cultural heritage, which encompasses historical artifacts such as traditional houses, crafts, and ceremonial dances. Among the most significant cultural assets are relics inscribed with ancient scripts, including Pallawa and Ulu, which offer valuable insight into the region’s historical literacy. The present study addresses the segmentation of OKU Timur script images through the Bounding Box method. This approach was selected based on its practicality and efficiency, particularly in the context of datasets where script characters exhibit straightforward forms and the overall data volume remains manageable. The segmentation process utilizes Python within the Google Colaboratory platform, ensuring accessible and reproducible workflows. Accurate segmentation is essential to support ongoing digitization and preservation of cultural scripts. The methodology involves gathering data from local artifacts, converting images to binary format, and isolating characters using Bounding Boxes. The results demonstrate that the method effectively separates individual script characters, laying the groundwork for dataset development and subsequent image classification tasks.
MODERNISASI KOLEKSI ARSIP: DIGITALISASI BERBASIS WEB UNTUK ARSIP PROVINSI SUMATERA SELATAN MENGGUNAKAN MODEL RAD Ilman Zuhri Yadi; Irman Effendy; Fatmasari; Afriyudi
BETRIK Vol. 15 No. 03 (2024): Jurnal Ilmiah BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : PPPM Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/7jxpeg15

Abstract

Dinas Kearsipan Provinsi Sumatera Selatan adalah lembaga pemerintah daerah yang bertanggung jawab melaksanakan urusan pemerintahan di bidang kearsipan. Dinas ini memiliki kewenangan dalam mengorganisasi, administrasi, pengolahan dan pelestarian arsip statis dan dinamis. Selain itu bertanggung jawab juga atas akuisisi, pelestarian, pengasapan, restorasi dan reprografi arsip statis. Sebagian besar koleksi arsip di Dinas ini masih berbentuk fisik, hanya sedikit yang telah didigitalisasikan. Penelitian ini bertujuan mengoptimalkan proses kerja, meminimalkan penggunaan kertas dan mengurangi biaya pemeliharaan, memfasilitasi akses ke koleksi arsip bersifat historis dan langka, membantu dalam pelestarian arsip untuk mencegah kerusakan, serta fasilitasi reprografi dari analog ke digital. Metodologi penelitian ini didasarkan pada Rapid Application Development (RAD). Website-nya sendiri dikembangkan menggunakan kerangka Laravel, yang dipilih karena mudah dalam pengembangan dan aplikasi web lebih aman serta responsif di berbagai perangkat yang digunakan untuk mengakses situs web. Hasil dari penelitian ini memperlihatkan keberhasilan pengembangan Digitalisasi Koleksi Arsip Berbasis Website yang menyajikan informasi arsip berdasarkan data jenis peta, foto, dokumen, bangunan, orang dan organisasi. 
Evaluasi Kualitas Layanan Aplikasi Ujian Digital Menggunakan Metode Webquall 4.0 pada SMA Negeri 1 Semendawai Barat Deska Novita Sari; Susan Dian Purnamasari; Ilman Zuhri Yadi; Nia Oktaviani
Reslaj: Religion Education Social Laa Roiba Journal Vol. 7 No. 11 (2025): RESLAJ: Religion Education Social Laa Roiba Journal
Publisher : Intitut Agama Islam Nasional Laa Roiba Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47467/reslaj.v7i11.9947

Abstract

The Computer-Based Testing (CBT) application plays a significant role in supporting the learning evaluation process in the modern era. As a technology- based tool, this application enables examinations to be conducted more efficiently, quickly, and in a more structured manner compared to conventional paper-based methods. SMA Negeri 1 Semendawai Barat is a state senior high school located in Kangkung Village, Semendawai Barat Sub-district, Ogan Komering Ulu Timur Regency, South Sumatra Province. The school has implemented information and communication technology (ICT) in its teaching and learning activities, including the administration of examinations through the use of the Bravo Computer-Based Testing (CBT) application to improve the quality of academic evaluations. The use of the Bravo CBT application reflects the school's commitment to keeping pace with developments in educational technology. One method that can be used to evaluate the effectiveness of such applications is WebQual, which is an enhancement of the Servqual method a tool that has long been used in evaluating service quality. WebQual has been adapted specifically to measure the quality of applications or websites through three main dimensions: usability, information quality, and service interaction. Research findings indicate that the variables Usability and Information Quality do not have a significant effect on Service Quality, whereas the Service Interaction Quality variable does have a significant impact on Service Quality.
Pengembangan Aplikasi Presensi Berbasis Deep Learning Lailatul Akmal; Ilman Zuhri Yadi; Yesi Novaria Kunang; Fatma Sari
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 5 No. 2 (2025): Mei 2026
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v5i2.354

Abstract

A facial recognition-based attendance system is a modern solution to overcome the weaknesses of manual attendance methods that are prone to manipulation and recording errors. This study uses a deep learning-based attendance application by implementing a Convolutional Neural Network (CNN) using MobileNetV2, VGG16, and ResNet50 architectures optimized for devices with limited resources. The facial dataset was collected independently and went through preprocessing stages, including normalization, resizing, augmentation, and face detection with OpenCV. The model was trained using TensorFlow and Keras on Google Colab with a GPU. It was then evaluated using a confusion matrix, which yielded accurate predictions with a low error rate. A classification report was also conducted, with an accuracy of 0.98, a precision of 1.00, a recall of 1.00, and an F1-score of 1.00, achieving a very high level of performance, indicating no prediction errors. A Flask web-based application was designed to connect the facial recognition model with the user interface, and was tested in real-time to measure the speed and accuracy of attendance. The results show that the CNN-based attendance application is able to provide a safer, faster, and more efficient attendance alternative compared to conventional methods.
Co-Authors Afiyudi, Afiyudi Afriyudi Ahmad Dzulfaqqor Faishol Aldi Hermawan Alex Wijaya Alhimni Alhimni Alsindo, Yanzen Amalia, Rahayu Andika, Muhamad Andri Andri Andri, Andri Anisa Kardiana Anjelina Anjelina Ayu Gahardina Bagas Hijra Primantara Bogy Dharma Sandi dedi irawan Dedi Irawan Deni Erlansyah Deska Novita Sari Dzakwan, Fadhlur Rahman Fatma sari Fatmasari Fatmasari Fatmasari Gllen yusuf abbel Hamanrora, Muhammad Dio Hermawan, Aldi Irman Effendy Kurniasih, Rani Tri Kurniati, Rafiqah Kusuma, Doni Lailatul Akmal Lang Dimas Perkasa Leon Andretti Abdillah M Fikri M Noufal Ikhsani M. Dimas Goworzky Mahmud Mahmud Maria Ulfa Maria Ulfa Miranda Khairunnisa Muhammad Deni Alfani Noperman Noperman Oktarina, Tri Oktaviani, Nia Permatasari, Susan Dian Prasetya, M. Iqbal Putra, M. Soekarno Rahmadini, Aulia Nurul Ramadhona, Nuzulur Reza Juanda Rio Ananda Fitriansyah Sapitri, Wulan Sari, Tia Permata Sisca Monita Suryayusra Susan Dian Purnamasari Susan Dian Purnamasari, Susan Dian Suyanto Suyanto Suzi Oktavia Kunang Timur Dali Purwanto Toriko, Liu Yesi Novaria Kunang Yulianingsih, Evi Ziqrullah, Muhammad Hafiz