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All Journal JAIS (Journal of Applied Intelligent System) Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI EXPLORE JOISIE (Journal Of Information Systems And Informatics Engineering) Jurnal Teknologi Informasi dan Pendidikan Indonesian Journal of Electrical Engineering and Computer Science Journal of Computer Scine and Information Technology Jurnal Sains Informatika Terapan (JSIT) EXPLORE Jurnal Komtekinfo SATIN - Sains dan Teknologi Informasi Jurnal Teknik dan teknologi tepat guna
Yogi Wiyandra
Universitas Putra Indonesia YPTK Padang
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology

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Reclamation Tax Calculation at Revenue Service, Regional Financial and Asset Management (Dppkad) Pariaman City(Perhitungan Pajak Reklamepada Dinas Pendapatan, Pengelola Keuangan Dan Aset Daerah (Dppkad) Kota Pariaman) Zefriyenni; Yogi Wiyandra; Firna Yenila
Jurnal KomtekInfo Vol. 7 No. 1 (2020): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (237.738 KB) | DOI: 10.35134/komtekinfo.v7i1.64

Abstract

Billboard tax calculations conducted by the Revenue, Financial and Asset Management Agency (DPPKA) Kab. Dharmasraya still uses a manual system so that performance is not optimal. The research conducted aims to optimize the calculation of advertisement tax and provide fast service time for ad users and taxpayers. With this research, it is expected to be able to assist the DPPKA in calculating the advertisement tax effectively and efficiently. The research methods used are field research, library research and laboratories. So that a new system analysis is produced by using tools such as Use Case Diagrams, Sequence Diagrams, Class Diagrams, Activity Diagrams and Deployment Diagrams.
Expert System Delayed Walking in the Toddler Yogi Wiyandra; Firna Yenila
Jurnal KomtekInfo Vol. 7 No. 2 (2020): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (338.192 KB) | DOI: 10.35134/komtekinfo.v7i2.75

Abstract

Delayed walking is a disorder of walking delay in the toddler aged 9-18 months. There are several indicators that cause delays in walking on children including motor, genetic and temperament. These factors are rarely understood by parents. And sometimes the delays seem to be left unchecked and that can cause its own failure. The lack of time to consult with a child specialist has resulted in such cases seeming to be left unchecked. Expert systems are built to provide knowledge to the public about the phenomena of walking delays that occur in children and the causes and solutions that will be obtained by parents. This system was built using a forward chaining method whose data reading was traced to the daily activities of toddlers. This system is designed to adapt information directly from child experts or child specialists who understand firsthand the condition of the child and delayed walking.
Sistem Pakar Kerusakan Sepeda Motor Matic dengan Metoda Hybrid Yogi Wiyandra; Firna Yenila; Raja Ayu Mahessya
Jurnal KomtekInfo Vol. 8 No. 2 (2021): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (164.58 KB) | DOI: 10.35134/komtekinfo.v8i2.110

Abstract

Kerusakan sepeda motor matic merupakan salah satu masalah yang sering muncul dari pengguna, sehingga tidak jarang dari pengguna langsung membawa kendaraan tersebut ke pakar/teknisi, dimana hal tersebut terkadang memberikan dampak terhadap waktu dan lainnya. Sehingga sistem yang berhubungan dengan komputer sangat dibutuhkan untuk kondisi seperti ini. Penelitian ini bertujuan untuk membantu para pengguna sepeda motor matic dalam mencari solusi terhadap kendaraan yang digunakan sehingga para pengguna paham dengan kendaraan tersebut. Sistem dibangun dengan menggunakan metoda hybrid yang menggabungkan dua metode yakni forward chaining dan certainty factor. Sistem ini bekerja dengan menyadurkan kepakaran teknisi dibidang sepeda motor matic dan beberapa ahli dibidang teknik mesin sehingga bisa memberikan solusi kepada user berupa persentase nilai keyakinan mengenai kondisi sepeda motor matic pada saat konsultasi. Dari hasil konsultasi yang didapatkan bisa digunakan sewaktu-waktu ketika dibutuhkan.
Analytical Hierarchy Process in The Assessment of The Best Teacher In the Category of Learning Activity Management System Dodi Guswandi; Hadi Syahputra; Agung Ramadhanu; Yogi Wiyandra; Suci Wahyuni
Jurnal KomtekInfo Vol. 8 No. 4 (2021): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (739.042 KB) | DOI: 10.35134/komtekinfo.v8i4.191

Abstract

The implementation of online lectures using blended learning needs to be assessed to find out the performance activities of lecturers with students in using the learning activity management system (LAMS) feature and reward lecturers with the best performance. Based on the assessment system of the best lecturers previously have not used the right methods so that the resulting decision is still not right and not accurate. This research aims to implement the Analytical Hierarchy Process (AHP) method in the assessment process of lecturers who are the best in using LAMS. The performance of the AHP method can determine the weight value of criteria consistently and can perform a role to produce solutions in decision making. The criteria indicators used to consist of Interactive Video Teaching Materials (C1), Audio Teaching Materials (C2), URLs (C3), Forum/FBL (C4), Slide Teaching Materials (C5), Assignments (C6), Quiz (C7), Attendance (C8), and Labels (C9). The results of this study showed that the performance of the Decision Support System (DSS) using the AHP method can determine a better weight value with a consistency level of 0.080049762 from 0.1. These results presented with AHP performance can provide weighting value on each criterion and continue the multiplication process with the best lecturer assessment data to get the results of the battle. Overall these results concluded that each criterion had a degree of consistent relationship in the best lecturer assessment on LAMS.
Machine learning classification of infectious disease distribution status Irzal Arief Wisky; Musli Yanto; Yogi Wiyandra; Hadi Syahputra; Febri Hadi
Indonesian Journal of Electrical Engineering and Computer Science Vol 27, No 3: September 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v27.i3.pp1557-1566

Abstract

Infectious diseases are common diseases and are caused by microorganisms such as viruses, bacteria, and parasites. Indicators of the spread of this disease can be seen based on the population level and the number of confirmed cases. This study aims to develop a machine learning (ML) analysis model using the K-means cluster, artificial neural network (ANN), and decision tree (DT) methods. The dataset used in this study was obtained based on the number of confirmed patients and the distribution of the population. The analysis process is divided into two stages, namely preprocessing and the classification process. The pre-processing stage aims to produce a classification pattern that can describe the level of distribution status. The classification pattern will be continued at the classification analysis stage using ANN and DT. Classification analysis gave significant results with an accuracy rate of 99.77%. The results of the classification analysis can also describe the level of knowledge distribution based on the decision tree. Overall, the contribution of this research is to develop a classification analysis model that presents the latest information and knowledge. The results of the research presented also have an impact on the control process in environmental management and public health.
Optimization Ground Glass Opacities (GGO) Detection Using Multipixel Interpolation Techniques Musli Yanto; Yogi Wiyandra
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 6 No 5 (2022): Oktober 2022
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v6i5.4433

Abstract

Ground Glass Opacities (GGO) are a picture of abnormal lung conditions characterized by white or gray areas. This picture of GGO in the lungs could previously be detected based on the results of medical examinations such as Computerized Tomography (CT scan) and Magnetic Resonance Imaging (MRI) images of patients suffering from Covid-19. However, from the results of the examination, it can be seen that the CT scan and MRI images still have a noise level that is too high, causing difficulties in describing the distribution pattern of the GGO itself. The purpose of this study was to optimize the detection of GGO on MRI images using the Multipixel Interpolation technique. The detection process adopts several stages including image preprocessing, edge detection process, and gradient morphological segmentation. Image preprocessing is done to remove noise and improve the MRI input image. The edge detection process is carried out to detect lung organs automatically using the Canny method which is optimized with the multipixel interpolation technique. The final stage of the research is the segmentation process using a gradient morphology technique to see the spread of GGO in patients with Covid-19 contained in the MRI image. The results of this study present an overview of the GGO pattern with fairly good results. The results of the GGO pattern description will also measure the level of spread to see the severity of pneumonia. Based on the results presented, this research is useful as an alternative solution in the process of diagnosis and treatment of Covid-19 patients.
Sistem Pakar Malnutrisi Menggunakan Metoda Hybrid Yogi Wiyandra; Firna Yenila
SATIN - Sains dan Teknologi Informasi Vol 5 No 2 (2019): SATIN - Sains dan Teknologi Informasi
Publisher : STMIK Amik Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (838.063 KB) | DOI: 10.33372/stn.v5i2.517

Abstract

Penelitian ini bertujuan untuk memberikan informasi kepada masyarakat mengenai malnutrisi, gaya hidup atau lifestyle merupakan salah satu faktor yang ikut serta dalam mendeteksi malnutrisi. Tak jarang diantara orang tua mengabaikan hal tersebut karena dianggap biasa dan lumrah. Bahkan tak jarang juga diatara orang tua malas berkonsultasi dengan pakar perihal kondisi tersebut dikarekan berbagai macam alasan. Untuk itu diperlukan sebuah sistem yang mampu memberikan kemudahan kepada masyarakat seputar malnutrisi. Dalam penelitian ini malnutrisi lebih dikhususkan pada balita karena balita memiliki indikasi terbesar mendapatkan malnutrisi apabila asupakan makanan yang harusnya dikonsumsi oleh balita tersebut tidak tepat. Sistem pakar ini dibangun dengan menggunakan metoda hybrid yang menggabungkan antara forward chaining dengan certainty factor dalam mendapatkan kesimpulan atau konklusinya. Sistem ini dibuat dengan menyadurkan informasi langsung dari pakar.
SISTEM PAKAR DETEKSI REFRAKSI MATA MENGGUNAKAN METODE HYBRID Suci Wahyuni; Firna Yenila; Yogi Wiyandra; Hezy Kurnia; Ruri Hartika Zain
JOISIE (Journal Of Information Systems And Informatics Engineering) Vol 7 No 1 (2023)
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/joisie.v7i1.3278

Abstract

Gangguan kesehatan mata merupakan salah satu masalah Kesehatan dari masyarakat yang saat ini sering ditemukan dibeberapa daerah di Indonesia. Kesehatan mata di Indonesia menjadi salah satu isu penting dalam bidang kesehatan. Masalah kesehatan mata yang umum dijumpai di Indonesia meliputi gangguan penglihatan yang disebabkan oleh berbagai faktor. Pentingnya penanganan terpadu terhadap kondisi ini menekan angka permasalahan di kesehatan masyarakat. Saat ini lebih kurang 314 juta masyarakat di dunia dinyatakan mengalami tingkat penglihatan yang lemah, dan diantaranya mengalami kebutaan di angka lebih kurang 45 juta orang. Salah satu faktor yang menyebabkan hal tersebut terjadi adalah lambatnya kesadaran untuk berkonsultasi dengan pakar dan minimnya waktu yang dibutuhkan untuk mencari informasi yang berhubungan dengan kesehatan. Sistem pakar merupakan salah satu solusi yang mampu memberikan informasi tentang refraksi mata dalam proses deteksi dan di usung dengan menggunakan gabungan dua metode yaitu metode forward chaining untuk menelusuri gejala yang ditemukan oleh pasien dan disesuaikan dengan yang dianalisa oleh pakar kemudian dilanjutkan dengan Certainty factor untuk memberikan nilai kepastian pasien mengalami kondisi tersebut berupa nilai keyakinan. Hasil penelitian ini memberikan sebuah aplikasi sistem pakar sebagai media komunikasi antara pasien dengan dokter sesuai dengan kepakarannya. Salah satu pengujian dilakukan memberikan hasil yang maksimal untuk proses deteksi refraksi mata dengan nilai yang sesuai dengan kondisi pakar.Hal tersebut mampu digunakan oleh pasien sebagai tahapan awal untuk berkonsultasi lanjut dengan pakar. Hasil tersebut bisa digunakan dalam bentuk hardcopy atau softcopy. Penelitian ini mampu memberikan nilai akurasi 90% berdasarkan data yang telah diuji. Hal tersebut mampu memberikan nilai positif terhadap user yang meggunaka sistem ini sebagai media konsultasi.
Ramdandi putra Rancang Bangun Alat Pemberian Pupuk, Keamanan Lahan Dan Penyortiran Tomat Berbasis Arduino Mega 2560 Ramdandi; Emil Naf'an; Yogi Wiyandra
Journal of Computer Scine and Information Technology Volume 9 Issue 3 (2023): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v9i3.148

Abstract

Utilizing modern technology in the field of tomato farming can increase production yields and simplify the production process. Currently, the process of selecting tomatoes in agriculture is still done manually, taking up time and being less accurate. Land security in plantations is also an important factor in determining the production outcome. Therefore, the use of modern technology is needed to ensure regular and scheduled fertilizer distribution, improve the accuracy of the tomato selection process, and ensure the security of the plantation land by adding cameras and warning alarms. To address various problems in the tomato farming production process, the use of advanced technology is needed. The use of computer technology in agriculture can help farmers in monitoring the condition of the plants, planning and scheduling fertilizer distribution, and optimizing the tomato selection process based on size. With the technology, tomato farming production can run efficiently, increasing tomato farming yields and improving the quality of the tomatoes produced. The security of the plantation land will also be maintained with the addition of additional security systems such as cameras and alarms
Smart Health Monitoring: Analisis Suhu Tubuh Dan Respirasi Menggunakan Kamera Termal Suci Wahyuni; Firna Yenila; Yogi Wiyandra
Jurnal Sains Informatika Terapan Vol. 4 No. 3 (2025): Jurnal Sains Informatika Terapan (Oktober, 2025)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v4i3.842

Abstract

The advancement of digital technology and artificial intelligence has opened vast opportunities for intelligent health monitoring systems that operate automatically, in real time, and without physical contact. This study aims to develop a system for detecting human body temperature and respiratory patterns using an infrared thermal camera based on digital image processing and machine learning. The research method involves thermal data acquisition on facial areas (forehead, nose, and mouth), image preprocessing using two-point temperature calibration and Gaussian filtering for noise reduction, and segmentation of the respiratory region using the adaptive thresholding method. Feature extraction is performed by analyzing temperature variations in the nose and mouth regions as thermal signals, which are converted into the frequency domain using the Fast Fourier Transform (FFT) algorithm to determine the respiration rate. Classification is carried out using the Support Vector Machine (SVM) algorithm to distinguish three physiological conditions: normal, fever, and respiratory disorder. The dataset consists of 550 thermal images, divided into 385 images (70%) for training and 165 images (30%) for testing. Experimental results show that the system achieves an accuracy of 98.32%, with an estimated forehead temperature of 145.23°C (a relative value from initial calibration) and a respiration rate of 6.6 bpm, indicating the subject’s condition as fever. This study demonstrates that the combination of thermal image processing, FFT algorithms, and SVM classification is effective for non-invasive, high-precision, and efficient health monitoring systems. The proposed system has the potential to support the development of the Internet of Medical Things (IoMT) for safe, accurate, and adaptive remote health monitoring in response to patients’ physiological changes
Co-Authors Agung Ramadhanu Ayu Mahessya, Raja Dodi Guswandi Febri Hadi Firna Yenila Hadi Syahputra Irzal Arif Wisky Kurnia, Hezy Marfalino, Hari Naf’an, Emil Nasution, Annio Indah Lestari Ramdandi Ruri Hartika Zain Suci Wahyuni Wifra Safitri Yanto, Musli Zefri Yenni