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All Journal Jurnal Pengabdian UntukMu NegeRI RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JURNAL MEDIA INFORMATIKA BUDIDARMA IT JOURNAL RESEARCH AND DEVELOPMENT Dinamisia: Jurnal Pengabdian Kepada Masyarakat SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Jurnal Teknologi Terapan Indonesian Journal of Electrical Engineering and Computer Science Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Computer Science and Information Technology (CoSciTech) Jurnal PkM (Pengabdian kepada Masyarakat) Jurnal Gramatika: Jurnal Penelitian Pendidikan Bahasa dan Sastra Indonesia Journal of Software Engineering and Information System (SEIS) JITER-PM (Jurnal Inovasi Terapan - Pengabdian Masyarakat)
Harun Mukhtar
Universitas Muhammadiyah Riau
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Journal : Jurnal Computer Science and Information Technology (CoSciTech)

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Implementasi Sistem Keamanan Pesan Text Dengan Teknik Steganografi Menggunakan Metode Least Significant Bit (LSB) Apriansyah Apriansyah; Harun Mukhtar; Mitra Unik
Jurnal CoSciTech (Computer Science and Information Technology) Vol 1 No 1 (2020): 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.v1i1.1674

Abstract

Indonesia, most cyber incidents reported by respondents relate to loss or leakage of business information such as internal records, information related to customers, employees and intellectuals. This worries the misuse of information held by irresponsible parties. in order to protect information so that it is not misused by unauthorized parties, then an attempt is made to hide the actual information on other information called steganography by using the Least Significant bit (LSB) method and to see the image quality value containing the message using the MSE calculation (Mean Square Error) and PSNR (Peak signal to noise ratio). The process of inserting messages is successfully carried out and produces extraction steganographic images. From testing the picture it can be concluded that the results of the steganography application must be invisible or not visible in plain view, as the purpose of this study is to increase the security sent to arrive at the recipient.
Rancang Bangun Module Media Pembelajaran Bentuk Aljabar Berbasis Mobile Abdul Ghofur; Harun Mukhtar; Evans Fuad
Jurnal CoSciTech (Computer Science and Information Technology) Vol 1 No 1 (2020): 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.v1i1.1693

Abstract

Algebra is one branch of mathematics that studies simplification and problem solving using symbols that are substitutes for constants or variables. Algebra in middle school children is usually obtained in class VII where the learning process uses textbooks and practices are simple. On the other hand, as more and more interactive learning media emerge that teach children, then with these considerations, the authors took the initiative to build a Mobile-Based Algebra Form Learning Media Design that can help the learning process more interesting.
Penerapan Quick Response (QR) Code Berbasis Web Di Puskesmas Payung Sekaki Pekanbaru Ken Rio Agizki; Regiolina Hayami; Harun Mukhtar
Jurnal CoSciTech (Computer Science and Information Technology) Vol 1 No 1 (2020): 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.v1i1.1795

Abstract

Puskesmas staffing data certainly cannot be separated from data that can change at any time. Changes to the data must be stored properly. At Puskesmas Payung Sekaki the attendance system is still using paper as an employee attendance data file, so that frequent loss of data and double data on absenteeism makes mistakes for the staffing of Puskesmas Payung Sekaki. Supporting Puskesmas staff every day must go to the Puskesmas to attend attendance when they come and go home, so that fraud arises in making attendance by making attendance care.Attendance system using the QR Code, can easily search data and minimize fraud in attendance care, because the QR Code must scan. The QR Code scanning results will be saved in the database. The QR Code is made with the Puskesmas Employee Identification Number. The results obtained from the Implementation of the Quick Response (QR) Code for the attendance of Puskesmas are able to facilitate employees in making attendance and the head of administration to get information on the attendance of Puskesmas Payung Sekaki employees.
Rancang Bangun Aplikasi Pemetaan Digital Pada Universitas Muhammadiyah Riau Royan Choiro Yahya; Harun Mukhtar; Regiolina Hayami; Mitra Unik
Jurnal CoSciTech (Computer Science and Information Technology) Vol 1 No 1 (2020): 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.v1i1.1901

Abstract

The campus area is a place for students and teaching staff to carry out their routine activities. But there are times when campus visitors are not only focused on teaching staff or students who already know the ins and outs of the campus area. Some parties such as students' parents, new students, guests sometimes need a certain guide to find specific areas of interest in the campus area. The development of this application is carried out aiming to assist and alleviate these parties to search and find related areas. The design of the software is made with Adobe Edge Animation CC with Action Script 3.0. based on the results of this study it can be concluded that the Digital Mapping Application on the Muhammadiyah Riau Campus can overcome the problem of confusion among the parties when visiting the Muhammadiyah Riau campus.
Analisis Perbandingan Performa Codec H.264 & H.265 Video Streaming Dari Segi Quality of Service Indra Saputra; Harun Mukhtar; Januar Al Amien
Jurnal CoSciTech (Computer Science and Information Technology) Vol 2 No 1 (2021): 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.v2i1.2190

Abstract

Video streaming is a technology that is often used when watching videos on the internet without having to download then video to play it. Some problems that affect the performance of video streaming are such as the large capacity of the video size, the capacity of the video size affects the smoothness when streaming video. In this research, two video compression methods will be compared, namely H.264 codec and H.265 codec. The test is carried out to determine the effect of using the compression method according to changes in the codec ang framerate used. After testing the two codec, it can be concluded that the H.265 codec is more effective to apply than the H.264 codec.
Analisis Asesmen Pecandu Narkoba Dengan Metode Profile Matching Pada Badan Narkotika Nasional Provinsi Riau Soni Soni; Harun Mukhtar; Ricinur Ricinur
Jurnal CoSciTech (Computer Science and Information Technology) Vol 2 No 1 (2021): 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.v2i1.2571

Abstract

Badan Narkotika Nasional Provinsi Riau merupakan instansi yang khusus menangani permasalahan narkoba, salah satu langkah penanganan penyalahgunaan narkoba yaitu dengan melakukan rehabilitasi agar pecandu narkoba bisa sembuh dari ketergantungan narkoba. Rehabilitasi bagi pecandu narkoba sangat penting dilakukan, hal ini dilakukan agar dapat mengurangi atau menghilangkan ketergantungan untuk menggunakan narkotika, sehingga dalam proses rehabilitasi pasien bisa menghilangkan ketergantungan dengan narkotika. Setelah proses rehabitilasi dilakukan penilaian asesmen pada pasien utuk menentukan apakah dapat dilakukan rawat jalan atau rawat inap, untuk melakukan asesmen pecandu narkoba dapat digunakan menerapkan metode profile matching, metode profile mathcing secara garis besar merupakan sebuah proses membandingkan antara kriteria pasien ke dalam kebutuhan yang dapat dijadikan acuan, sehingga dapat diketahui perbedaan kebutuhan, semakin kecil nilai gap yang di hasilkan nilai bobotnya semakin besar memiliki peluang untuk kesesuaian antara kriteria individual dengan kebutuhan yang di jadikan acuan. Kata kunci: profile matching, asesmen, rehabilitasi
Peramalan Kedatangan Wisatawan Mancanegara Ke Indonesia Menurut Kebangsaan Perbulannya Menggunakan Metode Multilayer Perceptron Harun Mukhtar; Muhammad Rifaldo; Reny Medikawati Taufiq; Yoze Rizki
Jurnal CoSciTech (Computer Science and Information Technology) Vol 2 No 2 (2021): 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.v2i2.3324

Abstract

The beauty of tourist attractions in Indonesia has a certain attraction for foreign tourists to serve as a place for vacation. However, the number of visitors needs to be predicted to anticipate an increase or decrease in the number of visitors, so that the state can determine policies regarding changes in the number of visitors in the future. Forecasting is used to predict previous data patterns so that further data patterns can be known. Multilayer Perceptron (MLP) is a neural network development that can be used for modeling time series data. Several researchers have conducted research using the Multilayer Perceptron method in making predictions. Forecasting systems or forecasting are very helpful in the current era, forecasting aims to predict future conditions. Prediction results, obtained 82% accuracy for tourist predictions in Period 7, namely September 2020, 97% for Prediction Period 8, namely December 2020 so that the Number of Tourists for Period 9 is 7,106 people.
Filtering Spam Email menggunakan Algoritma Naïve Bayes Harun Mukhtar; Januar Al Amien; M Arif Rucyat
Jurnal CoSciTech (Computer Science and Information Technology) Vol 3 No 1 (2022): 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.v3i1.3652

Abstract

Email atau Surat elektronik yang biasa disingkat surat-e adalah sarana kirim mengirim surat melalui jalur internet. Email spam dapat diartikan sebagai tindakan mendistribusikan pesan yang tidak diminta, seringkali dikirim secara massal menggunakan email. Email, dikirim untuk tujuan yang sah, dikenal sebagai Ham. Masalah penelitian ini ialah bagaimana memnyaring email spam yang masuk. Penelitian ini bertujuan untuk memfilter spam email secara otomatis menggunakan algoritma naïve bayes yang terhubung dengan mail server. Naïve bayes merupakan fungsi yang banyak digunakan oleh pengembang spam filter sebagai fungsi untuk filtering email karena sederhana dan mudah untuk diimplementasikan. Hasil penelitian menunjukkan bahwa naïve bayes dapat memfilter email spam dengan klasifikasi text. Saran penulis untuk pengembangan dapat menggunakan algoritma lain.
Peramalan Kedatangan Wisatawan ke Suatu Negara Menggunakan Metode Support Vector Machine (SVM) Harun Mukhtar; Rahmad Gunawan; Amin Hariyanto; Syahril; Wide Mulyana
Jurnal CoSciTech (Computer Science and Information Technology) Vol 3 No 3 (2022): 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.v3i3.4211

Abstract

Tourism is one of the most promising ecosystems for economic sectors worldwide. A strong tourism sector directly contributes to the country's national income, fights unemployment, and improves the balance of payments. Tourism development can be seen from the increase in arrivals to a nation; based on data obtained from the UNWTO from 1995-2019, it has increased and decreased. The sudden increase and decrease in tourists will have positive and negative impacts. Forecasting is an activity to predict events that will occur in the future by taking data from the past. So this study will expect tourist arrivals to a country using the Support Vector Machine (SVM) method. SVM has properties about maximizing margins and kernel tricks to map nonlinear data. The results obtained in this study indicate that SVM Confidence is 86.3%, has a MAPE value of 56.00%, and an RMSE worth of 11126.36 from the total data of 53 countries. And forecasting is carried out in 5 countries with the highest tourist visits. The results obtained are excellent: SVM Confidence of 99.13%, a MAPE value of 2.78%, and an RMSE value of 2783.57.
K-Nearest Neighbor (KNN) untuk Menganalisis Sentimen terhadap Kebijakan Merdeka Belajar Kampus Merdeka pada Komentar Twitter Febby Apri Wenando; Rahman Septiadi; Rahmad Gunawan; Harun Mukhtar; Syahril
Computer Science and Information Technology Vol 3 No 2 (2022): 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.v3i2.3841

Abstract

On December 11, 2019, the Minister of Education and Culture of the Republic of Indonesia Nadiem Anwar Makarim issued a policy of "Merdeka Belajar". Netizens on Twitter have debated this Merdeka Belajar and became a trending topic. This study tries to analyze the sentiment of tweets about opinions on this policy by classifying whether it is a positive opinion or a negative opinion. The classification method applied is the K-Nearest Neighbor algorithm. In this study, four main processes were carried out, namely text-preprocessing, word-weighting (TF-IDF), classification and validation using k-fold cross validation. Tests were carried out with a dataset of 700 data, training was carried out using 630 training data and 70 testing data. In testing, the highest accuracy of the K-Nearest Neighbor algorithm was obtained at the k-8 value, namely 84.28%. Furthermore, validation is carried out using k-fold cross validation with a value of fold = 10 to get an accuracy of 84.42%.
Co-Authors ., Farid Hasfindra Abdul Ghofur Addarisalam, Alif Al Amien, Januar Aldi, M Tri Alfaizun Nur Alfidin Alfanico, Febrian Alfian, Haris Ali, Zurrahman Muhammad Alris Gusnanda Amin Hariyanto Aminuyati Amran, Hasanatul Fu'adah Amran, Hasanatul Fuadah Apriansyah Apriansyah Arkan, M Alif Arviero L Tobing, Yandi Aryanto, Eggy Asrul Abdurrahim, Abulkhair Auralia Rilda, Azzahra Awaluddin Ayodya Putri Baidarus Bayu Anugerah Putra Benu, M. Rajib Owiendra Br Bangun, Elsi Titasari Budi Arham Chan, Ridzky Dani Harlian Daniel Adi Putra Sitorus Danillo, Amadel Daud, Kauthar Mohd Deprizon, Deprizon Dermawan, Aldi Desti Mualfah Dhea Dahliana Amanda Diah Angraina Fitri Diah Angraini Putri Dian Utami Dinia Putri doni, Rhoma Durades, M.Azri Dwi Pramaditya, Ilham Edi Ismanto Edo Arribe, Edo Efry Hady Nata Eka Putra Evans Fuad Fadly Gunawan Fakhira Frisya Ramadhani Fatchiyah Maharani, Masti Fatma, Yulia Fatma, Yulia Febby Apri Wenando Fitri Handayani Fitri Handayani Fitria Aini, Fitria Fitriani, Aisyah Fu’adah Amran, Hasanatul Gunawan, Rahmad Gusnanda, Alris Hadi Nasbey Hafid, Afdhil Hafsari, Rizka Hanum Salsabila Hardian_Putra, Saddam Haris, Aidil Hartanto, Fizhra Dwi Putra Hasanatul Fu'adah Amran Hasanuddin Hasanuddin Hasanuddin, Hasanuddin, Hayami, Regiolina Hendri, Yusriadi Herlandy, Pratama Benny Ilham Dwi Pramaditya Indra Saputra Irawan, Eldi Januar Al Amien Januar Al Amien Januar Al Amin Jihan Aulia Jum’atul Zikri Ken Rio Agizki Khusnul Hanafi Khusyaini, Ilham Kultum, Fi Ardhi Kurniawan, Muhammad Irgi Lisman, Muhammad Lorenza, Dina Lutfi Mz, Al Agib M Arif Rucyat M Djodi Andikarama M. Yogi Riyantama Isjoni Maisyarah, Adila Marcelino, Ananda Mardiya, Ainul Mas’yuri, Dhina Nurriska Maulana, Ade Irvan Medikawaty Taufiq, Reny Mirano, M. Fitter Mohamad, Mohd Saberi Muchtadi, Bill Fikra Muhammad Abdul Al Aziz Muhammad Fithra Muhammad Ilham Akbar Muhammad Rifaldo Muhammad Taufik Munanda, Rizka Muzahaffar, Fatih Al Nengsih, Rafni Yulia NUR FADILAH Nuradlin Syafini Nurwijayanti O.K Saddam Hussein Okta Tri Antoni Permadi Permadi Peter Wijaya, Peter Pradipa, Raditya Prasasti, Aditia Prastiwi, Adila Pramudiah Prastiwi, Adila Pramudiah Pratiwi Gasril Prayoga, Yuda Putra, Afyuadri Rahma Dayani, Lilian Rahmad Firdaus Rahmad Firdaus Rahman Septiadi Rahman, Rayhan Aulia Rahmawilda, Rahmawilda Rahmayana, Elsa Rama Putra Ramanda, Yuki Rayhan, Aqeel Refni Wahyuni Remli, Muhammad Akmal Reny Medikawati Taufik Revalino, Aqil Rhoma doni Ricinur Ricinur Rico Apriandika Ridhollah, Farhan Rizki Yasin Rizki, Rafi Hamdan Royan Choiro Yahya Saputra Sy, Yandiko Saputra Weisdiyanto, Wahyu Septiana Srinandini Shafwan, Affif Dzaky Silvia Elki Putri Soni Sri Wahyuni Sunanto Sunanto Suryanti, Anggi Aprilia Syafutri, Trimaiyuza Maulina Syahril Syahril Syahril Syahrul R, Syahrul Taufiq, Reny Medikawati Tiara Putri, Rahma Triana Dahar, Ulya Trimuawasih, Diana Unik, Mitra Vanama, Melsa W. M. Azim Wan Salihin Wong, Khairul Nizar Syazwan Wen Jia Wide Mulyana Yordan, Gibril Yos Hendra, Yos Yoze Rizki Yulia Fatma Yulia Fatma Yusoff, Nooraini