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(Riau Journal of Computer Science) Kreativitas Pada Pengabdian Masyarakat (Krepa) Jurnal Pelita Nusantara : Kajian Ilmu Sosial Multidisiplin Cendekia Inovatif Dan Berbudaya : Jurnal Ilmu Sosial Dan Humaniora West Science Interdisciplinary Studies International Journal of Sustainable Applied Sciences (IJSAS) IJMI Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah Jurnal Pengabdian Masyarakat Nusantara Jurnal Vokasia Lead Journal FISIO MU: Physiotherapy Evidences Jurnal Cakrawala Bahari Journal of Social Work and Science Education Journal of Shariah Economic Law Permata : Jurnal Pendidikan Agama Islam Indonesian Journal of Marine Engineering journal of social and economic research Journal of Ekonomics, Finance, and Management Studies Jurnal Teknik Sipil Bravo's: Journal of Physical Education and Sport Science Jurnal Bisnis Digital dan Enterpreneur (BISENTER) Jurnal Ekonomi, Manajemen, Akuntansi Galuh International Journal of Community Service and Development Journal of Publicness 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Journal : Emerging Information Science and Technology

 1 
Bandwidth Management using Per Connection Queue and Queue Tree: A Case Study on a High School Network Prasetyo, Eko; Santoso, Tossy; Riyadi, Slamet; ., Asroni
Emerging Information Science and Technology Vol 5, No 1 (2024): May
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v5i1.22376

Abstract

This research aims to enhance the efficiency of bandwidth utilization at MTs Muhammadiyah Tawangsari using the PCQ and Queue Tree bandwidth management methods on a MikroTik router. Through this approach, an analysis of bandwidth requirements, network topology design, and implementation were conducted. Post-implementation measurement results show a remarkable improvement in average user download speeds: 17.3 Mbps in administration rooms, 10 Mbps in classrooms, and 18.8 Mbps in faculty rooms. These results indicate a significant improvement in tailored bandwidth distribution that meets the specific needs of each network area and ensures that all users receive equal bandwidth usage. This leads to more evenly distributed and efficient network performance.
Analysis and Visualization of High School Student Achievement Data Using Decision Tree and Cross-Validation in Rapidminer Hartanta, Radhitya Yunandri; Asroni, Asroni; Riyadi, Slamet; Jeckson, Jeckson
Emerging Information Science and Technology Vol 4, No 2 (2023): November
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v4i2.20731

Abstract

The vision, mission, and work indicators of high school education are all geared toward producing graduates of excellent quality. Students’ academic performance in the first and second grades indicates their eventual excellence as graduates. However, it is not feasible to ensure that students in the third year have good results only by comparing their academic achievements during the first and second grades. School leaders and policymakers can benefit from data analysis and visualization by gaining insight into recurring patterns and emerging trends in their stored data. Leaders and management at schools can benefit significantly from Rapidminer’s decision tree and cross-validation data analysis methods when trying to figure out what to do about students performing well or poorly academically.
Discrete Curvelet Transform Feature Extraction for Mangosteen Fruit Surface Damage Detection Utama, Nafi Ananda; Triyani, Wahyu Indah; Riyadi, Slamet; Damarjati, Cahya
Emerging Information Science and Technology Vol 5, No 1 (2024): May
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v5i1.22602

Abstract

Mangosteen (Garcinia mangostana L) is one of the commodities of Indonesian fruit and is used as an export primadona that became the basis of Indonesia to increase the currency of the country. The quality of the fruit can be seen from the surface, whether there is damage or not. The sorting that the farmers have been doing all this time is still using the conventional way, that is, with the sense of sight. This conventional method seems to be less effective because it takes a lot of energy, takes a long time, and there are different perceptions between farmers. To solve this problem, a method of surface quality extraction of mango fruit will be developed based on image processing. The initial stage of image processing is with the image size equation then the image is converted to grayscale mode, then a discrete curvelet transformation is performed. The next stage is the extraction of mean, energy, entropy, standard deviation, variance, sum, correlation, contrast, and homogeneity. The result of the subsequent feature extraction is used to enter a value at the classification stage. From some of these extractions it will be known which extraction has the highest accuracy value. The method of classification used is Linear Discriminant Analysis (LDA) with the method of K-Fold Cross Validation which in this study is divided into 4-fold cross validation. After testing on 120 images, the highest value of accuracy is with extraction of standard characteristics deviation of 91.7% and variance of 88.4%.
Analysis of Cross Validation on Classification of Mangosteen Maturity Stages using Support Vector Machine Prabasari, Indira; Zuhri, Afrizal; Riyadi, Slamet; Hariadi, Tony K; Utama, Nafi Ananda
Emerging Information Science and Technology Vol 5, No 1 (2024): May
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v5i1.22359

Abstract

This study explores the efficacy of the Support Vector Machine (SVM) method in classifying mangosteen fruit images based on six ripeness levels. Employing SVM enables nonlinear data classification and simultaneous utilization of multiple feature extractions, resulting in enhanced accuracy. Analysis reveals that models integrating three feature extractions outperform those with only two. With ample training data and optimized parameters, SVM achieves detection accuracy exceeding 90%. However, algorithmic enhancements are necessary to compute RGB color index values for all pixels on mangosteen skin surfaces, possibly through circular-shaped windows approximating the fruit's contour. Moreover, comparative assessments of RGB color system calculations against alternative systems such as HSI are crucial for selecting the most suitable color model in alignment with human perception.
Development of Desktop-Based Employee Payroll: A Case Study on PT. Bio Pilar Utama Alfia, Bayu Dwiki; Asroni, Asroni; Riyadi, Slamet; Rahaman, Mosiur
Emerging Information Science and Technology Vol 4, No 2 (2023): November
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v4i2.20732

Abstract

As a result of periodic shifts, technological advancements are becoming more varied. The payroll system for employees is one of them. Payroll must follow the company’s standard operating procedures (SOP) to determine several issues. Thus, the system can be customized to match the company’s specific needs and SOP. The administration and finance departments encounter difficulty processing employee payroll due to frequent errors in employee data entry, including position, department, income, and deductions. The absence of a payroll information system that can reliably and rapidly calculate employee salaries and provide timely reports has become the primary source of the difficulty. The designed employee payroll information system only processed PT. Bio Pilar Utama’s payroll data. Facilitating the administration and finance departments to input data, calculate salaries, store data, and generate reports on employee payroll could be achieved through the newly developed employee payroll information system.
Classification of Duration in Global Terorism using ResNet Adriansyah, Adinda Nurhayati; Riyadi, Slamet
Emerging Information Science and Technology Vol. 5 No. 2 (2024): November
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.v5i2.24756

Abstract

Terrorism is a global threat that affects the political, economic, and social stability of many countries. The number of victims killed is based on the duration of the terrorism incident. This study uses the Residual Network (ResNet) model to classify terrorism incidents based on the duration of the incident (less than 24 hours and more than 24 hours) using the Global Terrorism Database (GTD) dataset. The GTD data used covers terrorism incidents from 1970 to 2017, with a total of 181,691. After preprocessing the data by converting categorical features to numeric and removing missing values, the data was divided into training, validation, and test sets with a composition of 70%, 15%, and 15%. The results show that the ResNet model is able to achieve a validation accuracy of 99.61% and a validation loss value of 0.0183. These findings show that the ResNet model is effective in classifying the duration of terrorism incidents and has the potential to be used in the development of better terrorism prevention systems.
Classification of Mangosteen Surface Quality Using Principal Component Analysis Riyadi, Slamet; Ayu Ratiwi, Amelia Mutiara; Damarjati, Cahya; Hariadi, Tony K.; Prabasari, Indira; Utama, Nafi Ananda
Emerging Information Science and Technology Vol. 1 No. 1: February 2020
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/eist.115

Abstract

Mangosteen (Garcinia mangostana L) is one of the primary contributor for Indonesia export. For export commodity, the fruit should comply the quality requirement including its surface. Presently, the surface is evaluated by human visual to classify between defect and non- defect surface. This conventional method is less accurate and takes time, especially in high volume harvest. In order to overcome this problem, this research proposed images processing based classification method using principal component analysis (PCA). The method involved pre-processing task, PCA decomposition, and statistical features extraction and classification task using linear discriminant analysis. The method has been tested on 120 images by applying 4-fold cross validation method and achieve classification accuracy of 96.67%, 90.00%, 90.00% and 100.00% for fold-1, fold-2, fold-3 and fold-4, respectively. In conclusion, the proposed method succeeded to classify between defect and non-defect mangosteen surface with 94.16% accuracy.
Co-Authors - Hwihanus ., Asroni Abdul Gofur Abiantoro, Bayu Abidin, Zenal Achmad Ali Mashartanto Achmad Syarief aditama, buntar perwira Adnan, Bahana Aditya Adriansyah, Adinda Nurhayati Agung Wahyudi Agung Yulianto AGUS AGUS Agus Kristiyanto Ahmad Afandi ahmad farid Ahmad Muktamar B Ahmad Zakaria Ahmad Zaki Ahsan, Mohammad Ahsanu, Muhamad Aisyah Hanim , Siti Ajatul, Ajatul Akbar, Zaizala Al Bina Al Munip, Al Munip Albab, Eric Ulul Alfatussabila Ashidiqie Alfia, Bayu Dwiki Ali, Nadiyah Maharty Amelia Kusniawati, Amelia Amelia, Nurusyifa Amiartuti Kusmaningtyas Aminullah Assagaf Anabah, Sahid Anarkis, Bunga Tirai Andri Iryawan Andriani Andriani Andrias Suhendra Nugraha Anna Maria Tri Anggraini Annisa, Sarah Chairul Aprianto, Iwan Ari Mukti Wibowo Aria Mulyapradana, Aria Arianti Ayu Puspita Ariep Jaenul Arif Bintoro Johan Arif Saefudin Arkam Lahiya Asa, Hafiz Yudi Asi, Yuli Sintha Asmiatiningsih, Sri Asroni, Asroni Ayu Ratiwi, Amelia Mutiara Azis, Achmad Abdul Aziz, M. Bambang Eka Purnama Bandi Bandi, Bandi Baruno, Agustiawan Djoko Bashori Bashori Bayangkara, Ida Bagus Ketut Bayu Budi Prakoso Bima Hardi Bisri Habibi , Wyeldan Boy, Hendry brahmayanti, Ida Ayu Sri Bramastia, Bramastia BRILLIANTO, RONALDO WISNU Brumadyadisty, Garry Budi Santosa Budi Santosa Cahya Damarjati Cahya Damarjati Cahyaningtyas, Annida Nur Camila Octavia, Sabrina Chen, Hsing-Chung Cherryl Martha Christina Anggreani Winoto Daryanto Daryanto Dendy Raharjo Deng, Abraham Ayuen Ngong Denny Bernardus Denpharanto Agung Krisprimandoyo Dermawan, M. Faris Dewi Nurhayati Dewi Ratnawati Dewi, Deshinta Arrova Didi Surya Permana, Didi Dinda Khairunnisa, Dinda Djoko Baruno, Agustiawan Djumahir .. Djumilah Hadiwidjojo Dutahatmaja, Angga Dwi L, Maulida Dwi Octavia, Winda Dwi Surya Supriyana Eddy Yunus Ekawati, Febriani Fajar Ellyas, Intan Suraya Emmanuel Agung Nugroho Endang Listyaningsih S Endang Listyaningsih Suparyanti Endang Sahir Ernisti, Widya Fadilah Umar Fahmi Faidillah Kurniawan Fatimah, Ai Tusi Faulina , Ria Fauzan Fauzi, Irfandhani Fayyadh Daffa Febrianti, Sri Febrianto, Gustaf Naufan Figo Pratama Fiki Ferianto Fikri, Hidayatul Fiorentino, Kevin Firdaus, Hendra FIRMANTO, DANIEL RAHADIAN Fithri Muliawati Fitra Mulia Jaya Fitriandinni, Reza Mutiara Nur Fitriyani, Rahma Florentinus Budi Setiawan Fransiska RZ Furqaan Harjanto Hafidz Nur Ichwan Han, Sui Hanik Liskustyawati, Hanik Hardianty, Sri Hariyadi, Bagus Reza Harnisah, Harnisah Hartadi, Arif Hartanta, Radhitya Yunandri Hartanto, Leandra Hasibuan, Muhammad Syarif Muda Hattah, Muh. Afif Novaldy Have Zulkarnaen Hawihanus, Hawihanus Hayat, Ulfa Ainul Hayuningtyas, Prestanti Heigy Mutiha Putri Hendro Sulistio Heni Pujiastuti Herdiana, Ade Heriyanto Heriyanto Hermono Heru Nugroho Hery Nariyah Hikmah, Siti Fathonatul Husnibes Muchtar Husnul Khatimah Ibrahim Ingga Ida Ayu Putu Sri Widnyani Idam Ragil Widianto Atmojo Imam Prawiranegara Gani Iman Bhato, Sahrul Indira Prabasari, Indira Indriyani, Nur Afifah Irhamsyah, Teuku Isnaini Rosyida, Isnaini Iswati, Heni Iwan Kurniawan Izza Fajri Zaidurrahman Jamal Wiwoho Jamaludin . Jayawarsa, A.A. Ketut Jazaul Ikhsan Jeanne Fransisca Jeckson, Jeckson Jennah, Rodhatul Joko Widiyanto Jose Beno, Jose Judijanto, Loso Jusnita, R. Ayu Erni Kahfiati Kahdar Karang Utama, I Wayan kariadi, mustasyfa thabib Kariadi, Mustasyfa Thabib Karim, Rohana Abdul Khairul Sadi Koswara, Engkos Krisyanto, Agus Kuncoro Diharjo Kurnianti, Apriliya Kurnianto, Dian Kusnawan, Agus Kusuma, Pranata Aji Kusumaningrum, Nazila Laisoka, Duvan Samudra Larasati, Devira Lelfita, Lelfita Lelono, Sarjoko Leonardus Heru Pratomo Lestari, Setyani Dwi Lidya, Leoni Lilik Wijayanti Listiani, Dina Lubis, Arbonas Lubis, Laila Tussifah Lubis, Winda Antika Luchman Hakim Lukman Bachtiar LULUK INDRAWATI Lusiana, Wiwit M. Said Zainuddin Ma'rufah, Siti Mafrisal, Mafrisal Malasan, Prananda Luffiansyah MARIA BINTANG Mariyanto, Muhammad Markus Asta Patma Nugraha Mashuri Mashuri Masruroh, Afi Masyhur, Ahmad Musthafa Maturbongs, Gibbar Imanuel Megat Syahirul Amin Megat Ali Megawati Simanjuntak Meirina Triharini Meithiana Indrasari, Meithiana Melda Yanti Memet Sudaryanto MIRNAWATI SUDARWANTO Misbah Misbah Mite Setiansah Mohammad Jamaludin Muawwanah, Raudatul Muchsin Doewes Mudrik Alaydrus Muhamad Ahsanu, Muhamad Muhamad Ali Muhammad Faisal Muhammad Furqon Hidayatullah Muhammad Perdana Azhar Muhammad Ridha Muhammad Yasin Muhlisatul Mahmudah, Muhlisatul Mukarto Siswoyo Muklisah, Risda Alvia Mulyadi Mulyadi Muntaha, Ilyas Mustaqim . Mustholiq Musyafa, Nabilla Ulayya Musyarafah, Musyarafah Musyarapah Muzakki Muzakki, Muzakki MY. Cendy Nindra Brilliana Nada Ananda Puteri Nana Sutikna Naufal, Nabil Navandi, Dhony Negara, Khesara Sastrin Prasita Nelfi Erlinda Nevrettia Christantyawati, Nevrettia Ni Putu Sri Harta Mimba Nicolas, Djone Georges Norafnan, Abdul Novaria, Novi Novita Br Ginting Novita Pri Andini Nugrahaning Sani Dewi, Nugrahaning Sani Nur Sayidah Nuradilah, Nuradilah Nuradilah, Nuradilah Nurhayati, Laela Maya Nurita, Nurita Nurlinda, Mei Nurmawi, Yesi Nurrachman, Hari Nursetiawan, . P., Leonardus Heru Pandin, Maria Yovita R Paramasari Dirgahayu Pasaribu, Safran Efendi Patria, Rio Pranata, Wibisana Prasetyo, Seto Wahyu Prawira, Anggun Wida Priandari, Sri Priyambodo Priyambodo Puji Rahmawati Putra, Arifdo Putri Susanti Putri, Adistie Prestiani Putri, Alifia Ramadhina Qomaruzzaman, Qomaruzzaman Qurrata A’yun, Nur Aini RA Maheswari, Rarah Rahaman, Mosiur Rahmad Ramadhan Rahmadani, Olivia Rahmah, Sri Rahman, Fadilatur Rais , Rinovian Raja Amelia Putriana Ramadhani, Muhammad Rizki Respati, Badrahini Masajeng Ridho Al-Hamdi Ridwan, Mohammamad Sihab Ridwansyah, Raden Mohammad Rizky Rif’at, Mohamad Rini, Sanda Puspa Riyadi Nugroho Rizal Edy Halim Rizal Maulana, Rizal Rizalludin, Riqqi Rizka Nabila Munawarah Rizky Amalia Rony Syaifullah, Rony Rosmawati, Nelis Rosyid Ridlo Al-Hakim Rozaanah, Rozaanah Rudianto, Setiawan Eko Rumi Iqbal Doewes, Rumi Iqbal Rusdi Sulaiman Sabarini, Sri Santoso Sabir, Arisman Safari, Arief Salsabila, Hasna Salsabila, Lathifah Khansa Samsul Huda Sanjaya, Andika Sanjaya, Kadek Heri Santoso, Joys Oktavia Santoso, Tossy Sapuadi, Sapuadi Sari, Ervita Indra Sari, Nurita Sarjon Defit Selfi Handayani Selvianor Setia Budi, Eka Setiawan, Florentinus Budi Setiawan, Tia SETIYO HARTOTO Setyasih, Nur Setyawan, Florentinus Budi Siminto Siminto Siminto, Siminto Siska, Syafni Yelvi Siswandari Siti Julia Fatmi Siti Marwiyah Sitompul, Andrey Heberon Situngkir , Hegi Priel SOBIRIN Soebekti, Karlita Sri Haryati SRI UTAMI ADY Stovia, Anggita Sudadi , Sudadi Sudiansyah, Sudiansyah Sudiwijaya, Erwan Sufa, Siska Armawati SUGIYANTO Sugiyanto - Sukadi . Sukesi . Sulistio, Prayogo Hadi Sumardi . Sumarno . Sumaryanto Sumaryanto, Sumaryanto Sumiati Sumiati Sumiati Sumiati Sumirat, Asep Rusman Iriana Sungkowo, Aming Suparnyo Suparnyo Suradi, Muhamad Arief Previasakti Suryani, Linda suryawan, ryan firdiansyah Susilaningtyas, Tri Sutianingsih Suwardi Suwardi Suyanto Suyanto Suyanto Sya’Bana, Yukhi Mustaqim Kusuma Taepoer, Raditya Ardianto Tajalli, Muqorob Tampubolon, Liosten R. R. Ully Tantyono, Neru Hatta Teuku Salfiyadi Thoyyibah, Luthfiyatun Tony K Hariadi Tri Rustiadi, Tri Trikolas, Trikolas Triyani Triyani Triyani, Wahyu Indah Ulfi Pristiana Umar, Fadillah Umaryoto Utama, Dimas Duta Putra Utama, Nafi Ananda Utari, Riyadini Utomo, Tri Aprilijanto Vega Candra Dinata Vidyarini, Etika Wahyuni, Belli Wardani, Agata Dita Wati, Patnah WH Hasibuan, Posman Wibisana Pranata Wibisono, Arifin Widiya, Heni Widiyawati, Ari Wiharesi Putri Wijayanti, Wiwiek Wijianto Wijianto Wilujeng, Titin Amrih Wiranata, Arno Wiwik Handayani Wulansari, Dasih Ayu Yannes Martinus Pasaribu Yanuar Zulardiansyah Arief yoseph Indrayanto Yovita R Pandin, Maria Yuggo Afrianto yulia lanti retno dewi Yunita, Selviana Yusuf, Sharfiden Hassen Yuyun Ari Wibowo Zaenal Abidin Zaenal Arifin Zafs, Rizqie Anandita Zuhri, Afrizal