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All Journal Techno.Com: Jurnal Teknologi Informasi Pixel : Jurnal Ilmiah Komputer Grafis SITEKIN: Jurnal Sains, Teknologi dan Industri Jurnal Informatika dan Teknik Elektro Terapan CESS (Journal of Computer Engineering, System and Science) Jurnal Ilmiah Rekayasa dan Manajemen Sistem Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Komputer Terapan CogITo Smart Journal Indonesian Journal of Artificial Intelligence and Data Mining INOVTEK Polbeng - Seri Informatika JURNAL ILMIAH INFORMATIKA JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JURNAL INSTEK (Informatika Sains dan Teknologi) ILKOM Jurnal Ilmiah INTECOMS: Journal of Information Technology and Computer Science MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Digital Zone: Jurnal Teknologi Informasi dan Komunikasi JURIKOM (Jurnal Riset Komputer) CSRID (Computer Science Research and Its Development Journal) JOISIE (Journal Of Information Systems And Informatics Engineering) EDUMATIC: Jurnal Pendidikan Informatika Jurnal Informatika dan Rekayasa Elektronik Zonasi: Jurnal Sistem Informasi JSR : Jaringan Sistem Informasi Robotik Jurnal Restikom : Riset Teknik Informatika dan Komputer Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal J-PEMAS Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI) Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence JAIA - Journal of Artificial Intelligence and Applications Jurnal Komtekinfo Malcom: Indonesian Journal of Machine Learning and Computer Science Innovative: Journal Of Social Science Research SATIN - Sains dan Teknologi Informasi VISA: Journal of Vision and Ideas Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer The Indonesian Journal of Computer Science INOVTEK Polbeng - Seri Informatika
Rahmaddeni Rahmaddeni
STMIK Amik Riau
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

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Journal : JURNAL MEDIA INFORMATIKA BUDIDARMA

 1 
Penerapan Algoritma Naïve Bayes Untuk Pengelompokkan Predikat Peserta Uji Kemahiran Berbahasa Indonesia Michal Dennis; Rahmaddeni Rahmaddeni; Fransiskus Zoromi; M. Khairul Anam
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 2 (2022): April 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i2.3956

Abstract

Indonesian Language Proficiency Test is a proficiency test to measure a person's language proficiency in communicating using Indonesian, both Indonesian speakers and foreign speakers. The UKBI rating has 7 rating categories consisting of special, very excellent, excellent, intermediate, poor, marginal, and limited. The number of participants who take UKBI at the Riau Province Language Center has more than 1000 but no one has managed the data into new knowledge. One of the efforts that can be done with the data is classification. The Naïve Bayes Classification Algorithm is a classification algorithm that is very effective (getting the right results) and efficient (the reasoning process is carried out by utilizing existing inputs in a relatively fast way). In order to obtain good accuracy results, the Naive Bayes Algorithm is combined with the Adaboost feature selection with a 70:30 and 80:20 test scheme. The results of the research carried out resulted in the highest accuracy value, namely 89% which combined the Naive Bayes algorithm with the Adaboost feature selection with 70:30 data splitting
Pengujian ISO 25010 Pada Smart Chair Akupresure Berbasis Internet Of Things (IoT) Diki Daryanto; M. Khairul Anam; Yoyon Efendi; Rahmaddeni Rahmaddeni
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 3 (2022): Juli 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i3.4134

Abstract

Smart chair acupressure is a technology that has been built using the application of the internet of things concept. The purpose of this study was to determine the quality level of the Acupressure Smart Chair, so that there are no errors in some features and the occurrence of errors in its functionality, which must be in accordance with the specified usability, the researchers conducted a test by utilizing the characteristics of ISO 25010. Related to the researcher's reasons taking ISO 25010 as one of the tests on the acupressure smart chair is because the smart chair acupressure technology cannot be said to be feasible because there has been no testing carried out in the measurement, the researchers used ISO 25010 which utilizes several characteristics that can be used such as functional suitability, usability and performance efficiency which focuses on measuring the electronic equipment used. Basically the concept used in this research is the internet of things which is a system that functions to control and simplify the workings of acupressure massage techniques for users. Whereas other problems that occur and arise often depend on customer satisfaction related to the quality provided on software and devices. This study uses the ISO 25010 method as the standard for the feasibility test on the device, where ISO 25010 basically also has 8 characteristics. In this study, to test the smart acupressure hair, the researchers used 7 characteristics that exist in ISO 25010, namely functional suitability, compatibility, usability, performance efficiency, reliability, maintability and portability. The instrument used is looking for an approach using the formula for reliability testing and processing on SPSS software. The results obtained from this study are that the acupressure smart chair has not been able to meet the ISO 25010 standard because the results obtained are 34.9% with an alpha cronbch value of 0.46 (unacceptable)
Komparasi Algoritma Machine Learning dalam Klasifikasi Kanker Payudara Afiatuddin, Nurfadlan; Wicaksono, M Teguh; Akbar, Vitto Rezky; Rahmaddeni, Rahmaddeni; Wulandari, Denok
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 2 (2024): April 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i2.7457

Abstract

Every year, millions of women are faced with a serious global health issue: breast cancer. This research aims to improve the efficiency of breast cancer classification using machine learning. One of the main challenges encountered is the imbalance between the number of malignant and benign cases in the dataset. Therefore, this study aims to compare the performance of several machine learning algorithms in classifying breast cancer, such as Decision Tree, Naive Bayes, K-Nearest Neighbors, Logistic Regression, and Random Forest. Preprocessing data, dividing data with various ratios, and testing various classification algorithms are the techniques used in this research. The dataset used originates from the Wisconsin Breast Cancer Diagnosis dataset from the Kaggle platform. The Synthetic Minority Over-Sampling Technique (SMOTE) is used to achieve balance in the proportions of imbalanced classes. After hyperparameter tuning, Logistic Regression showed the best performance with accuracy reaching 100% in several situations. This study concludes that the use of machine learning, especially with techniques for handling class imbalance, can improve the ability to detect breast cancer early. Additionally, this research also helps understand the best algorithms to improve accuracy in classifying breast cancer, providing support for healthcare professionals in early diagnosis, and enhancing the quality of patient care.
Co-Authors -, Dedek Ispandi A, M. Nakhlah Farid Adhitya Karel Maulaya Afiatuddin, Nurfadlan Agung Pratama Agustin Agustin Agustin -, Agustin Agustin Agustin Agustin, Endy Wulan Agustriono Agustriono, Agustriono Ahmad Rivaldi Aisy, Alaysha Rihadatul Aisyah Nurul Putri Akbar, Vitto Rezky Alaysha Rihadatul Aisy Aldino Evel Alfianda, Baginda Anam, M Khairul Ananta, Nita Anderson, Ranap Andi Kurnianto Andri Setiawan Anugraha, Yoga Safitra Aprilia, Fanesa Aprillian Kartino Arifin, Muhammad Amirul Asrofiq, Ahmad Aulia Putri Azdar, Qowiyyu Azfar Huzaifah Siregar B, Ilham Br.Situmorang, Elisabet Sinta Romaito Bunga Nanti Pikir Cahyo, M Rizky Dwi Chandra, Deni Cikita, Putri Cindy Syaficha Hardiana Dadynata, Eric Daulay, Suandi De Pani, Raihan Dedek Ispandi - Deni Chandra Devi Efriadi Devi Puspita Sari, Devi Puspita Dhini Septhya Didik Sazali Diki Daryanto Dini, Ema Djamalilleil, Said Azka Fauzan Edwar Ali Efrizoni, Luasiana Efrizoni, Lusiana Eka, Wisnu Elma Novfuja Elwinda, Masyitah Erlin Ermy Pily, Annisa Khoirala Fadila, Rahmasari Fahreza, Rino Fakhrizal, M. Aggie Farhan Pratama Farida Try Puspa Siregar Fathoni, Muhammad Hafidhatul Fauzan, Aulia Fazri Fazri Febrio Waleska, Rangga Firman Akbar Firman, Muhammad Aditya fitri pratiwi, fitri Fransiskus Zoromi Fransiskus Zoromi Ginting, Alex Elanta Ginting, Lusiana Ginting, Steven Gusmansyah, Rafly H A Supahri Habibah Br. Lumbantobing Hadi Asnal, Hadi Hafid Azis Supahri Hamdani Hamdani - Handoko Hanif Wira Saputra Hasnor Khotimah Hayami, Regiolina Hendra Saputra Hendrawan, Heri Herianto - Herianto Herianto Herisnan, Diva Nabila Huda, Isra Bil Ibrahim, Sang Adji Iftar Ramadhan Ihsan, Raja Muhammad Irawan, Sandra Septi Jabbar, Fiqri Abdul Jamaris, Muhamad Jasmarizal Jasmarizal Junadhi Junadhi Jundi, Muhamad Jundi, Muhammad Kharisma Rahayu Khusaeri Andesa Koko Harianto Koko Harianto Koko Harianto, Koko Kurniawan, Bambang Kurniawan, Fadly Kurniawan, Zuprizal Lili Marlia Lusiana Efrizoni M Fadhil Arfa M. Arifin M. Azzuhri Dinata M. Irpan Mahdiawan Nurkholifah Mardainis Mardainis Mardainis Marhadi, Nanda Maryani, Lily Maulana, Fitra Michal Dennis Muhaimin, Abdi Muhammad Adji Purnama Muhammad afrizal Muhammad Bambang Firdaus Muhammad Fajri Jamil Muhammad Fikri Hidayat Muhammad Ihza Mahendra Muhammad Ridho Al Fathan Mukhsinin, Dimas Aditya Najario, Dimas nanda, afri Nanda, Annisa Nasution , Zikri Hardyan Nita Ananta Nova Indriyani Nurjayadi Nurjayadi Nurkholifah, Mahdiawan Oktavianda Perdana Arifin, Satria Pratama , Nanda Rizki Pratiwi, Elsa Eka Prianto, Robi Purnama, Muhammad Adji Putra, Aldino Putra, Febrianda Putri Utami, Putri Putri, Adinda Dwi Putri, Daffina Zahro R Ismanizan Rabbani, Salsabila Rafliansyah, M Rahmi Rahmi Ramadhani, Jilang Ramadhansyah, Donny Rashid, Rashid Ratna Andini Husen Refni Wahyuni Renaldi, Reno Rinaldi Rinaldi Rini Yanti Rino Fahreza Risky Harahap Risman Risman Rizki Astuti Rizky Rahman Salam Rohana Yola Parastika Hutasoit Rohid Rometdo Muzawi, Rometdo Ryan Ismanizan Safitri, Dea Sahelvi, Elza Salman, Muhammad Dzaki Salsabila Rabbani Sapina, Nur Sapitri, Riska Mela Saputra, Haris Tri Saputra, Ilham Saputra, Juliandri Saputra, Pingki Ans Satria, Riyan Sazali, Didik Septhya, Dhini Septia, Rapindra Setiawan , Andri Setiawan, Ahmad Agung Sholekhah, Fitriana Sigit, Rapel Aprilius Sinaga, Leonardo Singgih - Widiantoro Siregar, Azfar Huzaifah Soni Suandi Daulay Suhada, Khairus Sukri Adrianto Supian, Acuan Susandri, Susandri SUSANTI Susanti, Susanti Sutisna Sutisna Syahrul Imardi Syarfi Aziz Syarifuddin Elmi T. Sy. Eiva Fatdha Tahiyat, Hafsah Fulaila Taupik Hidayat, Taupik Tri Revaldo, Bagus Triyani Arita Fitri Try Puspa Siregar, Farida Ulfa, Arvan Izzatul Ulfah, Aniq Noviciate Umar, Yusran Unang Rio Uthami, Kurnia Vindi Fitria wahyu, haditya Wahyudi, Gustri Romi Wicaksono, M Teguh Wicaksono, M. Teguh Widia Ningsih, Widia Wirta Agustin Wirta Agustin Wulandari, Denok Yansyah Saputra Wijaya Yesaya Twin Situmorang Yogi Yunefri, Yogi Yoyon Efendi Yuda Irawan Yulia Fatma Yusran Umar Yusril Ibrahim Zairi Saputra zairi saputra Zalianti, Fenisya Zega, Wilman Zikri Hadryan nst Zuriatul Khairi Zuriatul Khairi