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All Journal Techno.Com: Jurnal Teknologi Informasi SITEKIN: Jurnal Sains, Teknologi dan Industri Prosiding Semnastek CESS (Journal of Computer Engineering, System and Science) Jurnal CoreIT JURNAL MEDIA INFORMATIKA BUDIDARMA Seminar Nasional Teknologi Informasi Komunikasi dan Industri Jurnal Nasional Komputasi dan Teknologi Informasi Jurnal Teknologi Komputer dan Sistem Informasi Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Sistem Komputer dan Informatika (JSON) TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Pendidikan dan Teknologi Indonesia KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Sains dan Informatika : Research of Science and Informatic JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Muhammad Irsyad
Universitas Islam Negeri Sultan Syarif Kasim Riau
Aerospace Engineering Arts 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 Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Social Sciences Transportation Veterinary Other

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Estimasi Hasil Panen Ayam Pedaging Menggunakan Algoritma Regresi Linear Berganda Ahyani Junia Karlina; Muhammad Irsyad; Fitri Insani; Jasril; Eka Pandu Cynthia
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 6 (2023): Juni 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i6.920

Abstract

Data mining is the process of collecting and managing information that aims to extract important data from data. Currently data mining is used by companies to manage data but there are still many companies engaged in the livestock sector that have not used data mining to manage data. One of these companies is PT.PX which is a broiler company located in Riau, precisely in Sungai Pagar. The ever-increasing need for broiler chickens makes it difficult for chicken breeders to produce chicken according to market demand in each period. Unpredictable demand for broiler chickens makes breeders confused to determine how many chicks to produce. PT.PX still manages data using Microsoft Excel so the process is still very long and it is not certain to get accurate results. PT.PX also does not have a system for predicting broiler yields to find out how many chicken populations there will be in the next period. The existence of this data mining can help breeders to find out the number of populations to be produced for the next period. In predicting broiler yields, estimation methods can be used using multiple linear regression algorithms. Multiple linear regression was used to determine the relationship between feed, weight and age of chickens and chicken population. The information used in this research is information on harvested chickens obtained from 2019 to 2022. The results of multiple linear regression calculations at PT.PX obtained broiler yields of 12,217 populations
Klasifikasi Sentimen Masyarakat Di Twitter Terhadap Prabowo Subianto Sebagai Bakal Calon Presiden 2024 Menggunakan M-KNN Abdul Halim; Yusra Yusra; Muhammad Fikry; Muhammad Irsyad; Elvia Budianita
Journal of Information System Research (JOSH) Vol 5 No 1 (2023): Oktober 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i1.4054

Abstract

Presidential elections are held every five years and each presidential candidate will get support from several political parties to run for candidacy in the election. In a multi-party system, the number of parties participating in the election is very large, so that the perspectives of voters on political actors, including presidential candidates who will advance in the 2024 elections, are varied. The survey results from Polling Indonesia (SPIN) conducted from 7 to 16 October 2022 show that Prabowo Subianto has the highest electability with a score of 31.6%, based on a national leadership survey. In this study, a test was carried out by classifying tweet data from the public collected on the Twitter application from January to December 2022 using the Modified k-Nearest Neighbor method to analyze public sentiment regarding the upcoming election. Data collected as many as 2,100 data with positive and negative categories related to "Presidential Candidate" and "Prabowo Subianto" and the implementation of the Modified k-Nearest Neighbor classification was carried out using Google Colab. Based on the results of the confusion matrix test from the Modified k-Nearest Neighbor classification with three comparisons made (ie comparisons 70%:30%, 80%:20% dan 90%:10%) and using K=3, 5, 7, 9, 11 when testing a comparison of 90:10 at K=3 the highest accuracy results were obtained with a value of 93,3%.
Penetration Testing Information System Security Assessment Framework (ISSAF) Zul Azis Khan; Nazruddin Safaat H; Muhammad Irsyad; Teddie Darmizal
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 3 (2023): Desember 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i3.1507

Abstract

The development of information technology has had a positive impact on various fields, including the field of web technology. Information technology has now become a necessity in improving the performance of organizations and educational institutions in achieving goals. Websites are a tool for institutions to promote to the general public. The https://kekampus.umri.ac.id/ website is an information system owned by the Umri campus which is used for PKKMB and Umri Masters, as a website that functions in storing data, it is necessary to increase security to prevent hacker attacks, there are several methods used, one of which is The ISSAF framework is a penetration testing standard used to test the resilience of websites. The aim of this research is to determine the security gaps of the https://kekampus.umri.ac.id/ website by using the penetration testing method with the ISSAF Framework. The ISSAF framework includes nine test assessments which include Information Gathering, Network Mapping, Vulnerability Identification, Penetration, Gaining Access and Privilege Escalation, Enumerating Further, Compromising Remote Users/Sites, Maintaining Access, and Covering Tracks. In this study, examiners only carried out four stages of the nine stages in the ISSAF framework. This research uses a black box strategy where testers are only given access to the target website domain. This research was conducted because of the problems that often occur in gacor slots in one of UMRI's information systems. The results of the analysis carried out found that there were several vulnerabilities that were lacking on the website, namely SQL injection attacks, cross JavaScript, cookie secure flags on the https://kekampus.umri.ac.id/ website. and provide suggestions or recommendations to improve security on the https://kekampus.umri.ac.id/ website.
Desain UX Aplikasi Layanan Informasi Transportasi Umum Di Pekanbaru Menggunakan Metode Design Thinking Fina Tamima Annahwa; Reski Mai Candra; Muhammad Irsyad; Nazruddin Safaat H
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 5, No 3 (2022): Juni 2022
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v5i3.4454

Abstract

Abstrak - Kebutuhan akan transportasi semakin meningkat terbukti dengan banyaknya orang memilih untuk menggunakan transportasi umum. Untuk memenuhi segala pergerakan aktivitas penduduknya Kota Pekanbaru telah mendukung dengan tersedianya fasilitas transportasi umum. Sistem pelayanan transportasi angkutan umum yang tersedia di Kota Pekanbaru cukup beragam diantaranya Trans Metro Pekanbaru (TMP), angkot (Angkutan Kota), bus kota dan lain lain. Namun Sampai saat ini Kota Pekanbaru masih sangat minim dalam penyediaan layanan informasi mengenai transportasi apa yang tersedia serta informasi pariwisata di Kota Pekanbaru. Berdasarkan penelitian yang dilakukan, telah ditemukan berbagai permasalahan yang dialami oleh pengguna kendaraan umum di Pekanbaru. Permasalahan utama yang ditemukan dalam kasus ini adalah kurangnya informasi rinci tentang kendaraan umum yang terdapat di Kota Pekanbaru. Maka dari itu kami memberikan solusi baru dengan merancang sebuah perancangan User Experience dengan menggunakan metode Design Thinking dengan harapan produk yang dihasilkan dapat sesuai dengan kebutuhan dan juga keinginan pengguna. Dalam penelitian ini, membuktikan bahwa aplikasi transportasi umum di pekanbaru ini dapat memberikan kemudahan terhadap pengguna kendaran umum dalam mengakses informasi tentang kendaraan umum secara real-time.Kata kunci : Transportasi Umum, User Experience, Design Thinking. Abstract - The need for transportation is increasing by the number of peoples choosing to use public transportation. To fulfill all activities for Pekanbaru society, Pekanbaru government has supported by providing public transportation facilities. The public transportation service system available in Pekanbaru City is quite diverse, including Trans Metro Pekanbaru (TMP), Angkot, city buses and others. However, until now Pekanbaru City is still very minimal in providing information services regarding what transportation is available as well as tourism information in Pekanbaru City. Based on the research conducted, various problems experienced by public transportation users in Pekanbaru have been found. The main problem found in this case is the lack of detailed information about public transportation in Pekanbaru City. Therefore we provide a new solution by designing a User Experience using the Design Thinking with the hope that the resulting product can meet the needs and desires of the user. In this.study, it is .proven that the public transportation application in Pekanbaru can provide convenience for public vehicle users in accessing information about public transportation in real-time. Keyword : Public Transportation, User Experience, Design Thinking
Analisa Kinerja Layanan Internet Pada SMK Muhammadiyah 3 Terpadu Pekanbaru Menggunakan Metode Quality of Service Rendi Aulia Rahman; Iwan Iskandar; Muhammad Irsyad; Reski Mai Candra
JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Vol 6, No 2 (2023): JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Publisher : Institut Bakti Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jtksi.v6i2.1470

Abstract

The internet is a network that is used to connect computer devices to each other without being limited by the number users. The development the internet can be used for various means, one which is education. One of the schools that use the internet is SMK Muhammadiyah 3 Terpadu Pekanbaru. The school has a bandwidth speed of 300 Mbps originating from IndiHome and Dashnet. This study aims obtain information about the quality and existing internet services that this research hopes can be used as a reference by the administrators the internet network in schools. This study uses QoS (Quality of Service) parameters such as Delay, Jitter, Throughput, and Packet Loss. In addition, this study uses a software called wireshark. Wireshark functions to analyze data packets and quality on an internet network. The results this study get the index values of several QoS parameters. Based on the research, an index of 4 or in the very good category was obtained in terms of Delay, Jitter, Throughput, and Packet Loss both during busy and quiet hours. What's more, the school takes more advantage of the amount bandwidth available from IndiHome providers so they can drain school costs in procuring the network.
Implementasi Data Mining Memprediksi Penjualan Crude Palm Oil Berdasarkan Kapasitas Tangki Menggunakan Multiple Linear Regression Ana Komaria Baskara; Alwis Nazir; Muhammad Irsyad; Yusra Yusra; Fitri Insani
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 4 No. 3 (2023): Maret 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v4i3.5665

Abstract

Data mining is a process of discovering information from data that can be used to improve business, product development, and other decision-making processes. One application of data mining is in PT. Kerry Sawit Indonesia, which is an agribusiness company in the Wilmar Group that deals with processing crude palm oil (CPO). Sales of CPO are crucial for palm oil plantation companies. To increase efficiency and profitability, palm oil plantation companies can predict CPO sales to optimize sales and CPO inventory. One method that can be used to predict CPO sales is through data mining techniques. In this study, the data mining technique used is multiple linear regression. Multiple linear regression is used to determine the relationship between the tank capacity variable and CPO sales. The data used in this study are CPO production data, CPO sales data, and tank capacity data obtained from palm oil plantation companies over the last five years. The results of the Multiple Linear Regression calculation in this case study show that the coefficient of determination (R-squared) value is 0.9546, indicating that 95.46% of the CPO delivery variability can be explained by the independent variables. Additionally, the MAPE and RMSE tests show that the regression model obtained has good accuracy in predicting CPO deliveries. Therefore, this regression model can be used to predict CPO deliveries in the future, considering the predetermined independent variable values.
Penerapan Algoritma Naïve Bayes Terhadap Klasifikasi Penerima Bantuan Program Keluarga Harapan (PKH) Amelia Irsyada; Elin Haerani; Muhammad Irsyad; Fitri Wulandari; Liza Afriyanti
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 5 No. 2 (2023): Desember 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i2.7203

Abstract

Poverty in Indonesia is one of the complex social issues. As a manifestation of the government's concern about poverty in the country, various assistance programs have been established to target the impoverished population. One such program aimed at alleviating poverty in Indonesia is the Family Hope Program (Program Keluarga Harapan or PKH). PKH is a conditional cash transfer program provided to the impoverished community. The manual selection process for aid recipients is considered less than ideal, leading to issues of improper distribution. In this study, the Naïve Bayes algorithm is applied to classify PKH aid recipients in the Bungaraya Subdistrict, Siak Regency, as part of the government's efforts to tackle poverty. The dataset used consists of 560 records, including data on existing PKH aid recipients and potential recipients from various villages in the Bungaraya Subdistrict for the year 2022. The attributes considered in this research include age, income, number of dependents, dependents attending school, dependents with disabilities, housing status, floor type, and wall type. The highest accuracy obtained through calculations on Google Colab is 99% for an 80:20 ratio, while the accuracy obtained using RapidMiner is 94%.
Penerapan Saliency Maps dalam Explainable AI Untuk Deteksi Penyakit Paru-Paru pada Citra X-Ray Dada dengan Deep Learning Wahyu Reinaldy; Benny Sukma Negara; Muhammad Irsyad; Muhammad Affandes; Surya Agustian
TIN: Terapan Informatika Nusantara Vol 7 No 1 (2026): June 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v7i1.9962

Abstract

Early identification of lung diseases is very important so that medical personnel can quickly provide first aid and further study the patient's condition. In this study, a model was developed to classify chest X-ray images of the lungs using the VGG16 architecture. These chest X-ray images were categorized into three groups: COVID-19, normal lungs, and pneumonia. A combination of hyperparameters, including a learning rate of 0.001, 50 epochs, and a batch size of 16, was used to train the model, achieved an accuracy of 96%. Several evaluation metrics, including precision, recall, f1-score, and confusion matrix, were used to assess the model. In addition, saliency map methods were used to visually interpret the model's prediction output and display the areas of the chest X-ray images that most influenced the model's decision-making. The saliency map visualization findings show that the model focuses its predictions on regions of the lungs associated with the disease, which helps in understanding the algorithm's decision-making process.
Co-Authors Abdul Halim Afdhalel Vickro Afiana Nabilla Zulfa Ahmad Fauzan Ahyani Junia Karlina Albis Ya Albi Alwis Nazir Amelia Irsyada Ana Komaria Baskara Bebi Oktaviani Deny Dewana Hastanto Eka Pandu Cynthia Elin Haerani Elvia Budianita Endang Rasila Fahmi Kasri Febi Yanto Fina Tamima Annahwa Fitra Lestari Fitri Insani Fitri Wulandari Iis Afrianty Iwan Iskandar Jasril Jasril Lestari Handayani Liza Afriyanti Mohd. Ridho Zarkasih Rahim Muhammad Affandes Muhammad Affandes Muhammad Fikry Nadila Handayani Putri Nazruddin Safaat H Nazruddin Safaat H Negara, Benny Sukma Novi Yanti Nur Habibah Lubis Pizaini Pizaini Rahma Shinta Rahmad Kurniawan Rendi Aulia Rahman Reski Mai Candra Reski Mai Candra Reski Mai Chandra Riyan Wibowo Saputra Sonya Metarice Surya Agustian Suwanto Sanjaya Teddie Darmizal Teddie Darmizal Trya Ayu Pratiwi Wahyu Reinaldy Yusra Yusra Zul Azis Khan