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All Journal ComEngApp : Computer Engineering and Applications Journal JSI: Jurnal Sistem Informasi (E-Journal) Annual Research Seminar Dinamisia: Jurnal Pengabdian Kepada Masyarakat Informatik : Jurnal Ilmu Komputer Jurnal Generic ABDIKOM
Sutarno Sutarno
Universitas Sriwijaya
Computer Science & IT Decision Sciences, Operations Research & Management Engineering Library & Information Science Social Sciences Other

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Implementation Color Filtering and Harris Corner Method on Pattern Recognition System Ahmad Zarkasi; Sutarno Sutarno; Huda Ubaya; Muhammad Fajar
Computer Engineering and Applications Journal Vol 6 No 3 (2017)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (820.64 KB) | DOI: 10.18495/comengapp.v6i3.219

Abstract

Color recognition and angle detection of underwater objects can be done with the help of underwater robots (ROV) with image processing applications. The processing of the object's image is recognizing various shapes and colors of objects in the water. In this research, the color filtering and Harris corner method will be designed, studied, tested and implemented. The color filtering method is used to recognize object color patterns, while the Harris Corner method is used to detect angles of underwater objects. Then classify images to get data on environmental pattern recognition. The color patterns tested include red, green, yellow and blue. the results obtained are all color patterns can be recognized well. while the shape of the object being tested includes cubes, triangles, rectangles, pentagons, and hexagons. the results of testing some of the shapes can be detected with a good angle and others still have errors. This is because testing the form of objects is done in various positions, such as from the front, right, left, up and below. 
Inter Patient Atrial Fibrillation Classification Using One Dimensional Convolution Neural Network Ahmad Rifai; Muhammad Naufal Rachmamtullah; Sutarno Sutarno; Bambang Tutuko
Computer Engineering and Applications Journal Vol 11 No 1 (2022)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (509.684 KB) | DOI: 10.18495/comengapp.v11i1.393

Abstract

Atrial fibrillation is the most common type of arrhythmia. The process of detecting AF disease is quite difficult. This is because it is necessary to detect the presence or absence of a P signal wave in the ECG signal. However, this method requires special expertise from a cardiologist. Several literatures have proposed an automatic ECG classification system. However, the intra-patient paradigm does not simulate real-world scenarios. One of the challenges in the inter-patient paradigm is the morphological differences between one subject and another. In order to overcome the problems that arise in the automatic classification of ECG signal patterns a deep learning approach was proposed. This study proposes the classification process of atrial fibrillation in the inter-patient paradigm using a one-dimensional convolutional neural network architecture. The test is divided into two cases: two labels (Normal and AF) and three labels (Normal, AF and Non-AF). In the case of two test labels with an inter-patient scheme, the performance was 100% for all test metrics (accuracy, sensitivity, precision, and F1-Score). However, in the three-label case, the model's performance decreased to 85.95, 70.02, 72.50, 71.19 for accuracy, sensitivity, precision and F1-Score, respectively.
Hubungan Prilaku Remaja Berinternet di Inderalaya Reza Firsandaya Malik; Deris Stiawan; Erwin Erwin; Rossi Passarella; sutarno sutarno; Sarmayanta Sembiring; Ahmad Heryanto
Annual Research Seminar (ARS) Vol 1, No 1 (2015)
Publisher : Annual Research Seminar (ARS)

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Abstract

Indralaya known as the City of Students and Education, also has more than 30 boarding school, and 60 senior high school / vocational school spread over Ogan Ilir. Implementation of community service performed in Inderalaya to determine the relationship of the behavior of teenagers surfs the internet and provide knowledge about healthy and safe while surfing an internet. The method of data collection using questionnaires. Number of questionnaires distributed as many as 27 participants from SMAN 1 Inderalaya Utara and Pondok Pesantren Al Ittifaqiyah based on age from 15 to 17 years. Results showed teenagers have the tendency to access the internet every day with a duration of 1-2 hours and mostly done in the bedroom. Applications often they use is social networking. The teens also have the courage to meet with people who are known via online with a percentage of 29.6%.
Analisis Pengenalan Pola Citra Jarak Objek Menggunakan Fuzzy Logic Ahmad Zarkasi; Sutarno Sutarno; Huda Ubaya; Denny Wahyudi Marzuk
Annual Research Seminar (ARS) Vol 3, No 1 (2017): ARS 2017
Publisher : Annual Research Seminar (ARS)

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Abstract

Untuk mengenali objek pada citra dua dimensi bukanlah hal yang cukup mudah, proses untuk mengenali atau mendeteksi suatu objek memerlukan pemisahan terlebih dahulu pada bagian atau segmen citra, proses ini biasa dikenal dengan proses segmentasi [2]. Menurut Forsyth dan Ponce [8], kegunaan segmentasi adalah mengambil informasi dari citra seperti pencarian bagian mesin, pencarian manusia, dan pencarian citra yang serupa. Pada penelitian akan mengimplementasikan pengolahan citra dari kamera secara real-time dengan metode segmentasi warna, yang dikombinasikan dengan metode fuzzy logic. Proses segmentasi warna yang dipilih adalah segmentasi warna HSV (Hue, Saturation, Value) Kemudian proses tersebut akan dijalankan (embedded) dalam mikroprosesor. Fuzzy logic akan memproses nilai-nilai piksel yang diperoleh kedalah 3 variabel linguistik, yaitu JAUH, SEDANG dan DEKAT. Hasil yang diperoleh adalah untuk variabel JAUH jumlah piksel yang diperoleh adalah 0 s.d 1500, untuk variabel SEDANG adalah 600 s.d 6500 dan variabel DEKAT adalah 6500 s.d 24000.
Rancang Bangun Mesin Pencampur Warna Berbasis Pengolahan Citra dan Euclidean Distance Sutarno Sutarno; Eka Fasilah; Huda Ubaya; Rossi Passarella; Ahmad Zarkasi
Annual Research Seminar (ARS) Vol 3, No 1 (2017): ARS 2017
Publisher : Annual Research Seminar (ARS)

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Abstract

Penggunaan cat atau bahan pewarna pada beberapa bidang terus meningkat antara lain bidang seni lukis, otomotif, pertukangan dan perbengkelan, namum pilihan warna cat masih terbatas atau warna standar. Saat ini telah dikembangkan meisn pencampur warna, sehingga dapat dihasilkan pilihan warna yang lebih bervariasi. Penelitian yang dilakukan akan membuat rancang bangun mesin pencampur warna berbasis pengolahan citra dengan format warna RGB (red, green, blue) dan CMYK (cyan, magenta, yellow, black) dan metode klasifikasi euclidean distance menggunakan kamera sebagai sensor. Metode euclidean distance untuk menghitung selisih jarak nilai intensitas warna cat yaitu warna input dan warna dataset yang telah ada. Program dibuat dengan menggunakan perangkat lunak Microsoft Visual 2010 dengan bahasa pemrograman C++. Hasil pengujian dari penelitian ini didapatkan nilai error maksimum sebesar 31,37% dan nilai error minimum sebesar 4,32% atau tingkat akurasi tertinggi sebesar 95,68% dalam mengenali warna
Pengenalan Angka Arab Timur Tulisan Tangan Menggunakan Zone Centroid Zone (ZCZ) dan Backpropagation Sutarno Sutarno; Pia Ardhya Garini
Annual Research Seminar (ARS) Vol 3, No 1 (2017): ARS 2017
Publisher : Annual Research Seminar (ARS)

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Abstract

Penelitian dan pengembangan sistem pengenalan karakter tulisan tangan telah banyak dilakukan, namun sebagian besar yang diteliti berupa karakter tulisan latin. Penelitian ini akan mengenali tulisan tangan non latin yaitu angka arab timur menggunakan metode ekstraksi ciri zone centroid and zone (ZCZ) dan jaringan syarat tiruan propagasi balik (back propagation)Tulisan tangan angka arab timur di capture menggunakan webcam kemudian dilakukan proses pra pengolahan citra berupa operasi aras keabuan, pererataan histogram, pengambangan. Kemudian proses ekstraksi ciri citra dengan metode ZCZ, setelah melalui tahapan diatas ciri angka arab timur digunakan sebagai data dilatih dan data diuji metode backpropagation untuk mendapatkan nilai bobot terbaik dalam mengenali angka arab timur. Tingkat akurasi sistem pengenalan menggunakan metode ZCZ dan backpropagation dengan 500 data sampel sebesar 86 persen. Tingkat keberhasilan pengenalan ini dipengaruhi oleh faktor kejelasan tulisan tangan dan juga pencahayaan pada saat pengambilan citra angka arab timur tersebut
Pemanfaatan Jaringan Nirkabel Untuk Komunikasi Data dan Suara di SMK Teknik Komputer dan Jaringan di Palembang Reza Firsandaya Malik; Deris Stiawan; Erwin Erwin; Rossi Passarella; Sutarno Sutarno; Ahmad Fali Oklilas; Ahmad Heryanto
Annual Research Seminar (ARS) Vol 1, No 1 (2015)
Publisher : Annual Research Seminar (ARS)

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Abstract

According to the Basic Data of Directorate of Technical and Vocational Education that there are 18 vocational Computer Engineering and Networks in Palembang with consist of 2 state and 16 private schools. Utilization of the wireless network delivered in the training method that involves cognitive, affective and psychomotor aspects. The basic training taught basic computer network, especially related to wireless networks. These three aspects are evaluated through a pre test and post test. The results of pre and post test showed that 6.7% of the participants were not able to increase their knowledge about the wireless network while 93.3% are able.
Identifikasi Tanaman Buah Berdasarkan Fitur Bentuk, Warna dan Tekstur Daun Berbasis Pengolahan Citra dan Learning Vector Quantization(LVQ) Sutarno Sutarno; Rouzan Fiqri Abdullah; Rossi Passarella
Annual Research Seminar (ARS) Vol 3, No 1 (2017): ARS 2017
Publisher : Annual Research Seminar (ARS)

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Abstract

Kemampuan untuk mengenal objek sangat dibutuhkan manusia. Dengan adanya metode pengenalan dapat mempermudah kegiatan sehari-hari manusia. Pengenalan pola sering diterapkan  pada berbagai macam objek salah satunya adalah pengenalan pola pada daun. Keterbatasan ingatan manusia dalam mengingat menjadi titik lemah dari manusia. Berdasarkan masalah tersebut dilakukan penelitian untuk mengidentifikasi tanaman buah berdasarkan fitur-fiturnya menggunakan teknik pengolahan citra digital dan algoritma Learning Vector Quantization (LVQ). Setiap jenis tanaman memiliki bentuk, warna dan tekstur daun yang berbeda-beda, hal inilah yang menjadi keunikan (fitur) antar satu tanaman dengan tanaman lainnya. Program dibuat menggunakan perangkat lunak Microsoft Visual C# 2010. Hasil pengujian dicapai tingkat keberhasilan 82 persen dalam mengenali tanaman buah berdasarkan daunnya
Analisis Perbandingan Transformasi Wavelet pada Pengenalan Citra Wajah Sutarno Sutarno
Generic Vol 5 No 2 (2010): Vol 5, No 2 (2010)
Publisher : Fakultas Ilmu Komputer, Universitas Sriwijaya

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Abstract

Citra merupakan dimensi spatial berisi infor-masi warna dan tidak bergantung waktu. Transformasi citra merupakan proses perubahan bentuk citra untuk mendapatkan suatu informasi tertentu (fitur) yang tidak tersedia sebelumnya, salah satunya adalah transformasi wavelet. Wavelet merupakan fungsi matematis yang mampu mengelompokan energi citra terkosentrasi pada sekelompok kecil koefisien, sedangkan kelompok koefisien lainnya hanya mengandung sedikit energi yang dapat dihilangkan. Penelitian ini bertujuan untuk menguji tingkat keakuratan informasi hasil trans-formasi pada citra wajah menggunakan jenis wavelet Haar, Daubechies dan Coiflet, kemudian diterapkan pada sistem pengenalan wajah menggunakan metode Learning Vector Quatization (LVQ). Hasil pengujian, dapat dilihat bahwa transformasi pada citra dengan wavelet daubechies orde-2 (db2) sebesar 79,17% sebandingkan dengan dekomposisi wavelet haar juga sebesar 79,17%, sedangkan dekomposisi dengan wavelet coiflet orde-1 (coif1) unjukkerja sistem menurun 9% atau 70,00%.
Analisis Usability Aplikasi Pengolahan Data Berbasis Web Pada Perpustakaan Sekolah Berdasarkan Permodelan Nielsen Dedy Kurniawan; M. Rudi Sanjaya; Ahmad Rifai; Sutarno Sutarno
Generic Vol 13 No 2 (2021): Vol 13, No 2 (2021)
Publisher : Fakultas Ilmu Komputer, Universitas Sriwijaya

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Abstract

Web-based data processing applications have an important role to avoid human error, especially in school libraries. However, in developing a system, consideration of the level of user satisfaction is needed. So the purpose of this study is to analyze the usability of web-based data processing applications in school libraries based on Nielsen's modeling. The method of data collection was performed through filling out questionnaires by 51 students of Public Junior High School 2 Jejawi, OKI Regency. The questionnaire consists of 15 questions using a 4-point Likert scale. The results obtained indicate that the data are valid and reliable. In addition, the web-based data processing application shows that the five usability attributes of Nielsen, namely learning ability, efficiency, memories, few error, and satisfaction have good results, with an average usability score of 80.4. In conclusion, web-based processing applications are acceptable
Co-Authors Abdurahman Ahmad Fali Oklilas Ahmad Heryanto Ahmad Rifai Ahmad Zarkasi Ayu Nurul Asti Bambang Tutuko Dedy Kurniawan Denny Wahyudi Marzuk Deris Stiawan Eka Fasilah Erwin, Erwin Hadi Purnawan Satria Huda Ubaya Izzati Millah Hanifah Kemahyanto Exaudi M. Rudi Sanjaya Muhammad Fajar Muhammad Naufal Rachmamtullah Muhammad Nawar Athalaza Pascal Adhi Kurnia Tarigan Pia Ardhya Garini Primanita, Anggina Purwita Sari Rahmad Fadli Isnanto Rahmat Fadli Isnanto Reza Firsandaya Malik Rossi Passarela Rossi Passarella Rouzan Fiqri Abdullah Sarmayanta Sembiring Tharisa Antya Perdani