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All Journal Jurnal Sains dan Teknologi TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Pilar Nusa Mandiri Jurnal Ekobistek Sebatik MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Teknologi Informasi dan Pendidikan Indonesian Journal of Electrical Engineering and Computer Science Community Development Journal: Jurnal Pengabdian Masyarakat Majalah Ilmiah UPI YPTK Journal of Computer Scine and Information Technology Jurnal Ipteks Terapan : research of applied science and education Jurnal Komtekinfo SATIN - Sains dan Teknologi Informasi Journal Of Informatics And Busisnes Jurnal Teknik dan teknologi tepat guna The Indonesian Journal of Computer Science Jurnal TAM (Technology Acceptance Model)
Syafri Arlis
Universitas Putra Indonesia YPTK
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

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APLIKASI DATA MINING UNTUK PENGELOMPOKAN TINGKAT KELARISAN BARANG DENGAN METODE CLUSTERING MENGGUNAKAN ALGORITMA K-MEANS Arlis, Syafri
Jurnal Ekobistek Vol 2, No 1 (2013): Jurnal Ekobistek UPI "YPTK" Padang
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

 Salesstrategyrightis veryimportantin businesstobe able toincreasethe value ofsales. Many factors canaffect the level ofsalesof goodsto theresearchmethodsusedwere interviewsandobservation. Inthis paperdiscussedthe use ofdata miningalgorithmsK-means clustering todetermine the level ofbenefitsanitemso thatstockscan bemaintained.Key :data mining, clustering, algorithmsK-means   
Detection of Infiltrate on Infant Chest X-Ray Jufriadif Na'am; Johan Harlan; Gunadi Widi Nurcahyo; Syafri Arlis; Sahari Sahari; Mardison Mardison; Larissa Navia Rani
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 4: December 2017
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v15i4.3163

Abstract

Currently, Chest X-ray is still widely used around the world for disease examination. This is due to its low cost, low radiation and a lot of disease information. The commonly detected disease using chest x-rays is lung disease. The characteristic of this disease is infiltrate. However, the accuracy of Chest X-ray observations is still low. Therefore, this research offers a method to perform Chest X-ray image processing in clarifying the information contained therein. This research used Chest X-ray of infant patients who treated at Central Public Hospital (RSUP) Dr. M. Djamil Padang. The total of the images tested were 17 images. In these images, there were some suspected infiltrates after being analyzed by doctors. Software used was Matlab which is conducted by applying image processing method. The method used consisted of 4 parts, that was Cropping, Filtering, Detecting Edge, and Sharpening Edge. The results of the research showed that the method could clarify edge detection of the objects contained in the image, so that the infiltrate could be more easily recognized. With this easiness, it will help the doctor to remove doubts for infiltrate observations in the Infant's lungs.
PENERAPAN METODE SIMPLE ADDITIVE SISTEM (SAW) PENDUKUNG KEPUTUSAN SELEKSI PENERIMA BEASISWA PADA SMK N 5 PADANG Sahari Sahari; Syafri Arlis
Jurnal Teknologi Informasi dan Pendidikan Vol 10 No 2 (2017): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/tip.v10i2.31

Abstract

In an institution or organization especially education, would be required a system to support the decision. There is a possibility decision system is also carried out concerned by the levels in the organization. The decision support systems application has designed to help the school management determine to select the students are eligible to receive a scholarship. That’s why using a decision support system admission scholarship at the Vocational High School 5 Padang using SAW (Simple Addiitive weighting) method. The method of calculation are going by manually first, then maded a computerized using a web-based application. With hoping this system is expected to reduce the occurrence of errors in the selection of students to get the scholarships of the schools proposed format. Keyword : Scholarship, Simple Addiitive weighting, Decision Support Systems
SISTEM KEAMANAN AKTIVITAS KOMPUTER ANAK BERBASIS OPENSOURCE Syafri Arlis
Jurnal Teknologi Informasi dan Pendidikan Vol 9 No 3 (2016): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/tip.v9i3.111

Abstract

Technological developments at the present time is very rapid, starting from local access to be able to access information of the world. But behind it all the time management in the use of computers should be is arranged, especially in children. Parents must be responsible and can adjust their schedules, especially in scheduling use of a home computer. So that use can be controlled schedule and could make children more independent and disciplined. Designing an application form Parental Control can minimize the child in excessive computer use.
POLA PENENTUAN STATUS PEMINJAMAN DENGAN ALGORITMA PERCEPTRON Syafri Arlis; Darma Syahrullah Ekajaya; Musli Yanto
Sebatik Vol 23 No 2 (2019): Desember 2019
Publisher : STMIK Widya Cipta Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (338.482 KB)

Abstract

Pada setiap penentuan pemberian dana pinjaman koperasi yang dilakukan, pada umumnya memiliki sistem yang sama dengan melihat data-data yang diajukan oleh pihak peminjam sebelumnya. Penelitian ini memiliki tujuan untuk mampu mengenali pola pemberian status peminjaman yang akan diberikan oleh pihak koperasi dengan mengkobinasikan konsep ilmu pada jaringan saraf tiruan algoritma perceptron. Algoritma ini sangat cocok dalam mengenali pola yang berkerja dengan melakukan pelatihan jaringan berdasarkan variabel-variabel dari data yang digunakan pada jaringan. Dalam proses pelatihan yang dilakukan jaringan, penulis menggunakan alat bantu software matlab. Hasil penelitian yang didapat akan mampu memberikan masukan pada pihak pengelola koperasi dalam memberikan status pemberian dana pinjaman yang lebih terkonsepdan tersistem agar proses pemberian status peminjaman lebih cepat dan efisien.
Keamanan Web Server Menggunakan Bahasa Pemrograman Php dan VB Net Syafri Arlis; Feri Pratama
Majalah Ilmiah UPI YPTK Vol. 25 (2018) No. 2
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jmi.v25i2.45

Abstract

Seiring perkembangan teknologi yang semakin canggih, kebutuhan manusia akan teknologi semakin besar. Peran teknologi saat ini sangat memungkinkan untuk dimanfaatkan dalam aktifitas penyebaran informasi, teknologi ilmu pengetahuan dapat ditransformasikan menjadi suatu solusi yang efisien dalam mengatasi terlambatnya informasi disampaikan kepada yang bersangkutan. Dengan sekolah yang mempunyai website akan mampu menyebarkan informasi dengan cepat kepada muridnya. Dengan demikian pembelajaran maupun penyebaran informasi dalam aktifitas belajar mengajar menjadi lebih efektif
Development of Mastoid Air Cell System Extraction Method on Temporal CT-scan Image Syafri Arlis; Sarjon Defit; Sumijan
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 6 No 3 (2022): Juni 2022
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (480.37 KB) | DOI: 10.29207/resti.v6i3.4090

Abstract

Mastoiditis is disease that to infection of the mastoid bone cavity that affects the size of the air cell system of the temporal bone. Visually, the information temporal CT image mastoid bone has can assist medical experts in viewing the mastoid air cell system (MACS), but the fact that medical personnel are experiencing difficulties in determining the size MACS is due to the many different characteristics and objects overlap, so that in the measurement of the area, precise and accurate results have not been obtained. This study aims to separate the object of the MACS with the development of extraction. The proposed method uses Morphology and Regionprops operations. The dataset used in the testing process is 347 of 5 patients indicated for Mastoiditis. The results obtained can calculate the area of MACS for each test image. Based on image testing, the area of the smallest MACS in this study was 0.589 cm2 and the largest was 6.183 cm2. This, the smaller the size of the MACS indicates the severity of infection, so this study can help medical personnel make decisions and take appropriate treatment actions.
PENGENALAN WEB DESAIN KEPADA SANTRI RAHMATAN LIL’ALAMIN INTERNATIONAL ISLAMIC BOARDING (RLA IIBS) ARIPAN KABUPATEN SOLOK Larissa Naviarani; Syafri Arlis; Rofil M. Nur
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 3 No. 2 (2022): Volume 3 Nomor 2 Tahun 2022
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v3i2.5315

Abstract

Pemanfaatan komputer saat ini cukup beragam mulai sebagai alat bantu dalam menyelesaikan suatu pekerjaan sampai mengolah data hasil penelitian maupun untuk mengoperasikan program-program penyelesaian problem-problem ilmiah, industri dan bisinis. Seperti misalnya website yang digunakan untuk melihat informasi serta memberikan kemudahan dalam mengerjakan suatu pekerjaan. Pada zaman sekarang ini hampir semua kantor sudah memanfaatkan komputer dalam menunjang pekerjaan, tetapi masih sangat banyak yang belum tau bagaimana cara memanfaatkan teknologi komputer tersebut dengan benar dan maksimal. Oleh karena ini pada objek pengabdian masyarakat yang akan dilakukan adalah bertujuan untuk memberikan pengtahuan teknologi komputer khususnya web desain untuk memberikan pengetahuan kepada Santri RLA IIBS Aripan Kab. Solok. Di dalam laporan ini akan dipaparkan mengenai kegiatan pengabdian kepada masyarakat khususnya di Rahmatan Lil Alamin Boarding School (RLA-IIBS) dalam rangka memberikan pengarahan kepada siswa mengenai Pengenalan web desain sehingga proses pembelajaran akan lebih menarik dan materi yang disampaikan guru akan lebih mudah diterima oleh santri.
Analysis of sales levels of pharmaceutical products by using data mining algorithm C45 Rini Sovia; Abulwafa Muhammad; Syafri Arlis; Guslendra Guslendra; Sarjon Defit
Indonesian Journal of Electrical Engineering and Computer Science Vol 22, No 1: April 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v22.i1.pp476-484

Abstract

This research was conducted to analyze the level of sales of pharmaceutical products at a Pharmacy. This is done to find out the types of products that have high and low sales levels. This study uses the C45 data mining algorithm concept that will produce a conclusion on the prediction of sales of pharmaceutical products through data processing obtained from sales transactions at pharmacies. This C45 algorithm will form a decision tree that provides users with knowledge about products that are in great demand by consumers based on sales data and predetermined variables. The final result of the C45 algorithm produces a number of rules that can identify the inheritance of a type of medicinal product. C45 algorithm is able to produce 20 types of categories that will be labeled goals based on the number of pharmaceutical products, since it can be concluded that C45 successfully defines 55% of the existing objective categories.
Implementation multiple linear regresion in neural network predict gold price Musli Yanto; Sigit Sanjaya; Yulasmi Yulasmi; Dodi Guswandi; Syafri Arlis
Indonesian Journal of Electrical Engineering and Computer Science Vol 22, No 3: June 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v22.i3.pp1635-1642

Abstract

The movement of gold prices in the previous period was crucial for investors. However, fluctuations in gold price movements always occur. The problem in this study is how to apply multiple linear regression (MRL) in predicting artificial neural networks (ANN) of gold prices. MRL is mathematical calculation technique used to measure the correlation between variables. The results of the MRL analysis ensure that the network pattern that is formed can provide precise and accurate prediction results. In addition, this study aims to develop a predictive pattern model that already exists. The results of the correlation test obtained by MRL provide a correlation of 62% so that the test results are said to have a significant effect on gold price movements. Then the prediction results generated using an ANN has a mean squared error (MSE) value of 0.004264%. The benefits obtained in this study provide an overview of the gold price prediction pattern model by conducting learning and approaches in testing the accuracy of the use of predictor variables.
Co-Authors Agung Ramadhanu Andrian, Reski Aswandi, Nopan Candra Putra Darma Syahrullah Ekajaya Dodi Guswandi Doli Raharjo, Tio Edwar, Eggy Febyanti Fajrul Islami Febri Hadi Feri Pratama Gunadi Widi Nurcahyo Gunadi Widi Nurcahyo, Gunadi Guslendra Guslendra Hanum, Luthfia Harkamsyah Andrianof Hendrik, Billy Johan Harlan Jufriadif Na`am, Jufriadif Larissa Navia Rani Larissa Naviarani M.Iqbal, M.Iqbal Mardison Mardison Marfalino, Hari Muhammad, Abulwafa Musli Yanto Nabila Frisca Oktavia Nur, Rofil M Nurcahyo, Yuhandri Olivia, Ladyka Febby Permana, Nabilah Putri Prayuda, Muhammad Hozi Putra, Deri Marse Putra, Muhammad Reza Ridwan, Ridwan Rini Sovia Rofil M. Nur Sahari Sahari Sahari Sahari Sahari Sarjon Defit Sarjon Defit SIGIT SANJAYA, SIGIT Sofika Enggari Sumijan Sumijan Sumijan Sumijan Supperianto, Bambang Syahputra, Afriadi Wahyu, Fungki Winda Sutra Amanda Yanto, Musli Yuhandri Yuhandri Yunus Yuhandri, Y Yulasmi