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All Journal International Journal of Electrical and Computer Engineering Jurnas Nasional Teknologi dan Sistem Informasi Jurnal Ilmiah KOMPUTASI Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Teknik Komputer AMIK BSI Information System for Educators and Professionals : Journal of Information System Jurnal Penelitian Pendidikan IPA (JPPIPA) Indonesian Journal of Artificial Intelligence and Data Mining Seminar Nasional Teknologi Informasi Komunikasi dan Industri JITK (Jurnal Ilmu Pengetahuan dan Komputer) Sebatik Journal of Information Technology and Computer Engineering JURNAL SIMTIKA (Sistem Informasi dan Informatika) JURTEKSI Informatika : Jurnal Informatika, Manajemen dan Komputer bit-Tech Systematics Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Informasi dan Teknologi Jurnal Informatika Ekonomi Bisnis Indonesian Journal of Electrical Engineering and Computer Science Jurnal Teknik Informatika C.I.T. Medicom JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Applied Data Sciences Jurnal Computer Science and Information Technology (CoSciTech) Journal of Applied Computer Science and Technology (JACOST) Majalah Ilmiah UPI YPTK Journal of Computer Scine and Information Technology Bulletin of Computer Science Research Insearch: Information System Research Journal Jurnal Komtekinfo Jurnal Sistim Informasi dan Teknologi INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Innovative: Journal Of Social Science Research Jurnal Teknologi SmartComp Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) JR : Jurnal Responsive Teknik Informatika CSRID Jurnal Responsive Teknik Informatika Methods in Science and Technology Studies
Sumijan
Universitas Putra Indonesia YPTK Padang
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Physics Public Health Social Sciences Other

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Image Edge Detection Capture Zoom for Facial Recognition Using Gradient Operators Febri Hadi; Sumijan
Jurnal KomtekInfo Vol. 9 No. 3 (2022): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/komtekinfo.v9i3.303

Abstract

Imagery on edge detection is a process that will display the edges of an image. Basically, edge detection is one of the techniques for the analysis of image quality in the spatial domain and is also one of the initial process in digital image processing. Edge detection serves to detect the border line of an object contained in the image. This study aims to identify and recognize face pattern objects in the capture zoom image. To perform face identification begins with collecting image data, image processing, image edge detection, thinning of the image, and identification process using the template matching method. The method used in edge detection uses 3 methods, namely Sobel, Roberts and Prewitt which are gradient operators to detect edges in facial images. The dataset used is image capture zoom. The trial was carried out in two stages, namely the identification of the face shape and the identification of the edges of the face. The conclusion of the study is that the Roberts operator is the operator that finds the least edge patterns in facial images than the other two operators, namely Prewitt and Sobel. Meanwhile, the Sobel operator produces edge patterns that are better in quality and quantity than using the Roberts and Prewitt operators.
Teknik Segmentasi untuk Mengidentifikasi Kelainan Jantung pada Citra Rontgen Dada Febri Aldi; Sumijan
Jurnal KomtekInfo Vol. 9 No. 3 (2022): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/komtekinfo.v9i3.307

Abstract

The annual death toll from heart disease is 17.5 million people. Currently, heart disease is a prevalent condition that kills a lot of people and shortens people's lives. Life is based on the work of the heart, since the heart is a much-needed part of our body where life is impossible. Heart disease affects heart function and can lead to death or annoy the patient before deathThe use of contemporary medical imaging methods like computed tomography (CT), ultrasound, and magnetic resonance imaging (MRI), as well as X-rays, is now commonplace. These methods enable non-invasive qualitative and quantitative assessment of the anatomical structure and function of the heart and support diagnosis, disease monitoring, treatment planning, and prognosis. The purpose of this study is to find heart problems in patients. The data used in this study were chest X-rays of patients with normal heart conditions and chest X-rays of abnormal heart patients obtained from the kaggle website. Segmentation techniques are used to process these cardiac images. Segmentation is the process of separating between an object and another object or between objects and the background contained in an image. Then the calculation of the area of the heart area is carried out using the extraction of morpological and regional features method characteristics with an algorithm that has been developed. The results of this study can identify heart defects through the process of measuring the area of the heart normal and abnormal. So that it produces a good accuracy rate of 85%. This segmentation technique is proven to be very good so that it can be a medical reference to perform further medical actions against abnormalities in the heart.
Optimalisasi Tunjangan Kinerja Pegawai pada Badan Kesatuan Bangsa dan Politik Kabupaten Karimun Menggunakan Metode Monte Carlo: Array Eri Haryadi; Sumijan; Julius Santony
Jurnal Ilmiah Komputasi Vol. 19 No. 2 (2020): Jurnal Ilmiah Komputasi Volume: 19 No. 2, Juni 2020
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32409/jikstik.19.2.87

Abstract

Badan Kesatuan Bangsa dan Politik Kabupaten Karimun melaksanakan pembayaran tunjangan berbasis kinerja. Pemberian tunjangan ini harus terbuka dan transparan sesuai dengan prestasi kinerja pegwai. Penelitian ini bertujuan untuk menentukan kriteria yang tepat dalam perhitungan bobot kinerja, sehingga pemberian tunjangan sangat tepat. Penelitian ini akan menetapkan bobot kinerja pegawai sebagai acuan dalam pembayaran tunjangan kinerja setiap bulan. Data yang diolah dalam penelitian ini adalah nilai absensi dan nilai capaian kinerja setiap pegawai. Data ini dirangkum menjadi data sasaran kinerja pegawai dengan jumlah Pegawai Badan Kesatuan Bangsa dan Politik Kabupaten Karimun sebanyak 23 (dua puluh tiga) orang. Metode yang digunakan dalam penelitian ini adalah Monte Carlo. Hasil dari pengujian penelitian ini dapat menentukan prediksi sasaran kinerja pegawai yang akurat dengan tingkat akurasi 99%. Dengan ketepatan penelitian ini, maka ketepatan dalam penentuan tunjangan kinerja sangat tepat, sehingga penelitian ini menjadi acuan dalam meningkatkan kinerja pegawai secara tepat.
Sistem Pakar Metode Backward Chaining untuk Optimalisasi Pelayanan Pemberian Informasi Obat Surya Dwi Putra; Dhena Marichy Putri; Sarjon Defit; Sumijan Sumijan
JITCE (Journal of Information Technology and Computer Engineering) Vol 7 No 01 (2023): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.7.01.1-7.2023

Abstract

Drug information service is an assistance service to handle the needs of pharmacists related to medicines consumed by patients at the Lasi Health Center, Agam Regency. Nowadays, most of drug information services always require pharmacists to carry out their services, although there is limited number of pharmacists for providing drug information services at the Lasi Health Center, Agam Regency. This study aims to optimize drug information services so that the services can be carried out without the direct presence of a pharmacist. The data used in this study were drug prescription data available at the Pharmacy of Lasi Health Center Agam for the last 12 months and drug information services provided by pharmacists at the Lasi Health Center Agam Regency. This study used the backward chaining method to identify the drugs prescribed to the patients. The result achieved by this study were 356 Rules that could be applied directly to drug information services, with an accuracy rate of 100%. The rules generated using the backward chaining method can be used to optimize drug information services at the Lasi Health Center in Agam Regency without having to be served directly by pharmacists.
Metode k-means clustering untuk mengukur tingkat kedisiplinan pegawai (studi kasus di pemerintah kabupaten padang pariaman) Rezki -; Sarjon Defit; Sumijan
Computer Science and Information Technology Vol 4 No 1 (2023): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v4i1.4728

Abstract

Knowledge Discovery In Database (KDD) is a process of converting raw data into useful data in the form of information. Data mining is a technique of digging up hidden or hidden valuable information in a very large data collection (database) so that an interesting pattern is found that was previously unknown. Clustering is a method in data mining in which data objects that have similarities or the same characteristics are grouped into one group and those that are different are grouped into another group. One aspect of discipline that can be used to evaluate employee performance is attendance. The k-means method is used to classify employee discipline levels and then describes the values ​​that have been obtained to generate new knowledge regarding data patterns on employee discipline levels. The attendance data is clustered into 3, namely to measure low, medium, and high levels of discipline. After carrying out the calculation process, the 41 employee samples produced 3 iterations, and the final result was 3 clustering, namely cluster 1 of 10 employees with low discipline, cluster 2 of 7 employees with moderate discipline, and cluster 3 of 24 employees with high discipline. This is intended so that leaders can find out which employees have high, medium and low levels of discipline so that they can provide appreciation or rewards and sanctions in order to maintain and improve their discipline so that service to the community can be optimal and the vision and mission of the local government can be achieved. Keywords: KDD, Data Mining, K-Means Clustering Method, Discipline
Automated model for identification on mastoid of temporal bone image Syafri Arlis; Sarjon Defit; Sumijan Sumijan
Indonesian Journal of Electrical Engineering and Computer Science Vol 31, No 1: July 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v31.i1.pp570-581

Abstract

Mastoiditis occurs due to inflammation that can affect the structure of the mastoid bone. The mastoid bone consists of the mastoid air cell system (MACS) which protects the ear structures and regulates air pressure in the ear and has different sizes and characteristics, making it very difficult to identify precisely. This study aims to identify and find the right MACS size by developing an automatic identification model and obtaining the optimal threshold value in the segmentation process using the extended adaptive threshold (eAT) method. The research dataset uses computed tomography (CT)-scan images of 308 slices of 12 patients indicated for mastoiditis. The results of this study provide identification that has the right MACS accuracy and size. Overall, the optimal segmentation process obtained the smallest threshold value of 57 and the largest threshold value of 63, the smallest MACS size is 4.025 cm2 and the largest is 8.816 cm2 with an accuracy rate of 93.4%. The smaller MACS size indicates inflammation in the mastoid area and these patients require more intensive treatment.
Identifikasi Pemilihan jurusan IPA dan IPS di SMA Menggunakan Metode Backward Chaining Sri Amalia Harahap; Yuhandri Yunus; Sumijan Sumijan
Insearch: Information System Research Journal Vol 3, No 01 (2023): Insearch (Information System Research) Journal
Publisher : Fakultas Sains dan Teknologi UIN Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/isrj.v3i01.5812

Abstract

Sebagian besar siswa lulusan Sekolah Menengah Pertama (SMP) berkeinginan untuk melanjutkan keinginannya khususnya ke SMA, hal tersebut dibuktikan dengan banyaknya siswa lulusan SMP yang mengikuti ujian masuk ke Sekolah Menengah Atas (SMA). Hal yang patut disayangkan adalah kurang matangnya mereka memilih jurusan yang ada disekolah yang dituju. Situasi semacam ini berdampak pada biaya pendidikan yang terlanjur di keluarkan, baik pada orang tua siswa maupun pemerintah yang mensubsidi sekolah menjadi tidak bermanfaat karna siswa tersebut tidak memiliki kemampuan yang memadai untuk jurusan yang sudah dipilihnya. Penelitian ini dilakukan pada SMA Persiapan Stabat. Pada penelitian ini, data yang diolah adalah nilai yang sudah ada yang didapat dari nilai rata-rata siswa di SMP dari kelas VII sampai kelas IX dan peminatan , kemudian data akan diolah untuk menentukan jurusan yang tepat untuk masing-masing siswa. Hasil yang didapat pada penelitan ini mencari alternatif terbaik pemilihan jurusan berdasarkan kriteria-kriteria yang telah ditentukan sekolah dengan menggunakan metode Backward Chaining. Hasil ini mempunyai akurasi yang tinggi, dimana pada jurusan IPA sebesar 93, 7% dan jurusan IPS sebesar 80% dimana dapat direkomendasikan untuk pemilihan jurusan IPA dan IPS di SMA dan metode ini dapat mempercepat seleksi, sehingga membantu dalam pengurangan biaya dan waktu untuk pihak sekolah
Penerapan Preference Selection Index (PSI) dalam Pengangkatan Karyawan di Yayasan XYZ Esa Kurniawan; Yuhandri Yuhandri; Sumijan Sumijan
Jurnal Nasional Teknologi dan Sistem Informasi Vol 9, No 1 (2023): April 2023
Publisher : Jurusan Sistem Informasi, Fakultas Teknologi Informasi, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/TEKNOSI.v9i1.2023.78-85

Abstract

Yayasan XYZ merupakan salah satu lembaga Pendidikan dan Kesehatan yang ada di kota pekanbaru, lembaganya terdiri dari Universitas, STEI, SMK, SMA, SMP, Rumah Sakit, dan juga mempunyai beberapa icon lainnya, maka karyawan yang menunjang operasional juga tidak sedikit yang tersebar di beberapa institusi, untuk itu perlunya dilakukan pengangkatan karyawan tetap, agar dapat mensejahterakan karyawan dan tujuan perusahaan tercapai. Merekrut calon yang tepat pada posisi yang tepat bukanlah hal yang mudah, Oleh sebab itu diperlukan suatu sistem yang membantu SDM dalam pengangkatan karyawan. Pengangkatan karyawan diperlukan penilaian oleh tim ahli dibidangnya untuk mendapatkan karyawan tepat yang mempunyai kualitas dan kesungguhan untuk mencapai visi misi dari yayasan, maka perlunya Sistem Pendukung Keputusan yang dirancang untuk mempermudah pengguna dalam mengambil keputusan yang dilakukan secara sistematis, dengan menggunakan metode Prefernce Selection Index dalam pengangkatan karyawan. Pengangkatan karyawan diperlukan penilaian oleh tim ahli dibidangnya untuk mendapatkan karyawan tepat yang mempunyai kualitas dan kesungguhan untuk mencapai visi misi dari yayasan, maka perlunya Sistem Pendukung Keputusan yang dirancang untuk mempermudah pengguna dalam mengambil keputusan yang dilakukan secara sistematis, dengan menggunakan metode Prefernce Selection Index dalam pengangkatan karyawan.Pengangkatan karyawan diperlukan penilaian oleh tim ahli dibidangnya untuk mendapatkan karyawan tepat yang mempunyai kualitas dan kesungguhan untuk mencapai visi misi dari yayasan XYZ, maka perlunya keputusan dalam pengangkatan karyawan menggunakan metode Prefernce Selection Index (PSI) yang akurasiya lebih tinggi dan lebih tepat sasaran tentunya. Hasil dari penelitian ini yaitu ada tiga alternatif dengan nilai peringkat tertinggi antara lain A9 = 0,9307, A1 = 0,9121 dan A6 = 0,9001.
Perancangan Sistem Informasi Akademik Menggunakan Bahasa Pemograman Php dan Database Mysql Yoga Ananda Putra; Sumijan; Mardison
Jurnal Teknologi Vol. 9 No. 1 (2019): Jurnal Teknologi
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1379.034 KB) | DOI: 10.35134/jitekin.v9i1.5

Abstract

merancang suatu aplikasi yang menyajikan informasi yang dibutuhkan elemen sekolah agar dapat diperoleh secara lebih mudah dan efisien.Metode penelitian menggunakan analisis dan perancangan sisteminformasi dimana pada tahap analisis akan dibahas analisa sistem yang sedang berjalan. Kemudian pada tahap perancangan akan dibahas dan dilihat aliran sistem informasi baru, UML, disain user interfacedan disain file database.Hasil yang dicapai berupa pembuatan aplikasiyang mampu mempercepat proses pembuatan laporan atau informasi sesuai dengan apa yang diinginkansekolah.Dan sebagai bentuk penerapan dari teknologi yang ada pada saat ini.Kesimpulan adalah dengan penggunaan teknologi komputer secara optimal dapat membantu kinerja dari pihak sekolah dalam memberikan informasi mengenai data siswa
Deteksi Tepi untuk Mendeteksi Kondisi Otak Menggunakan Metode Prewitt Irzal Arief Wisky; Sumijan
Jurnal Teknologi Vol. 12 No. 2 (2022): Jurnal Teknologi
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (258.739 KB) | DOI: 10.35134/jitekin.v12i2.68

Abstract

The brain is an organ that is in the head as a controller of all functions of the human body, thus enabling humans to think and solve problems. Brain health conditions are very important in keeping the body's functions running properly. Several diseases can adversely affect brain health, such as cancer, tumors, meningitis, encephalitis and other brain diseases. Brain conditions can be identified through Magnetic resonance imaging (MRI). This study aims to identify brain conditions based on Brain Edge Detection on MRI images. The technique used is Prewitt method. The stages of the process carried out in edge detection begun with the pre-processing process in reducing the noise contained in the MRI image. The number of MRI images tested was 25. The results of this study can localize the edges of the image very well. The accuracy of this study is 85%, so this research can be recommended in identifying brain organs.
Co-Authors A Alfarisdon Abdi Rahim Damanik Adek Putri Adi Gunawan Aflili Sari Ahmad Khomsi Ahmad Zaki Aktavera, Beni Alifia Restu Selvanda Amran Sitohang Andre Agasi Andreas Malau Andres Boni Fakio Andri Nofiar Anjun Dermawan Ardia Ovidius Asep Kurniawan Asri Hidayad Ayu Prima Siska Bias Yulisa Geni Billy Hendrik Budi Jaya Budi Permana Putra Caniago, Deosa Putra Cyntia Lasmi Andesti Daeng Saputra Perdana Darma Yunita Darmawi Dede Pratama Dedi Irawan Deosa Putra C aniago Devi Maryuni Devia Kartika Dhena Marichy Putri Dhio Saputra Dian Cyntia Dewi Dina Ayudia Dina Selvia Dinul Akhiyar Dwiki Aulia Fakhri Edo Rinaldi Rais Eka Praja Wiyata Mandala Encik Yoega Renaldi Eri Haryadi Eri Haryadi eriwandi Esa Kurniawan Fachriqi Naldes Fachrul Ilmawan Fajri Karim Fajrul Islami Febri Aldi Febri Hadi Feri Irawan Ghea Paulina Suri Gunadi Widi Nurcahyo Hadi Syahputra Hadrila P A Hafid Dwi Adha Hafiz Mursalan hamsiah hamsiah Hardiansyah Putra Haris Kurniawan Hengki Juliansa Ibnu Rasyid Munthe Ieannoal Vhallah Ilham Roni Yansyah Indra Gunawan Irzal Arif Wisky Iskandar Fitri Jeri Wandana Jufriadif Na`am, Jufriadif Julius Santony Julius Santony Julius Santony Julius Santony K Kadrahman Kalfinus Waruwu Khairul Azmi Lc Granadi Suhaidir Lili Amareza Patriani M Syahputra M. Arif M. Rasyid M.Hafiz Alfansury Mahdiasa Sholihin Mardayulis, Mardayulis Mardison Monsya Juansen Muhammad Hafizh Muhammad Iqbal MUHAMMAD TAJUDDIN Muhammad Tajuddin Muhammad, Abulwafa Mustopa Husein Lubis Nandra Sunaryo Nella Novrina Doni Nindi Misyahdul Yuzi Nopan Pirsa Nur Aini Nurhidayat Okta Veza Pratama, Muhammad Harits Pratiwi, Fitri Puja M Alca Radillah, Teuku Rahmad Dian Rahmi Fauzana Rakhmad Pribowo Hariputra Rani Yunima Astia Rezki - Riadi, Rahadatul ‘Aisy Rian Kurniawan Riski Randa Hidayatullah Roni Roni Roni Salambue Rubiati, Nur Rusnedy, Hidayati S Salmiati Sabri T Rahman Sahyunan Harahap Salsa Fitiansyah Sarjon Defit Seni Oknora Firza Setiawan, Adil Soeheri Soeheri Sofika Enggari Sovia, Rini Sri Amalia Harahap Sri Handayani Subrianto Chandra Suhefi Oktarian Surmayanti, Surmayanti Surya Aulia Rahman Surya Dwi Putra Syafri Arlis Syahid Hakam Abdul Halim Syaljumairi, Raemon Tio Ramadan Sapto Hari Ulia Ulfa Wahyudi Wahid Wardana, Bendra Wendi Boy Widya Febriani Wijaya Hakim Yanto, Musli Yendi Putra Yoga Ananda Putra Yolan Ananda Putri Yosua Ade Pohan Yuhandri Yuhandri, Yuhandri Yuki Saputra Yusma Elda Z Zulvitri ZH, Lina Alfaridah. Zulfitri Yani