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All Journal Jurnal Penelitian dan Pengembangan Pendidikan Al-Risalah : Jurnal Imu Syariah dan Hukum JOURNAL ONLINE OF PHYSICS Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Pengabdian Magister Pendidikan IPA Prosiding SENTIKUIN (Seminar Nasional Teknologi Industri, Lingkungan dan Infrastruktur) JURNAL PENELITIAN EKONOMI DAN AKUNTANSI (JPENSI) Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Al asma : Journal of Islamic Education Jurnal Disrupsi Bisnis IJECS: Indonesian Journal of Empowerment and Community Services Journal of Soft Computing Exploration Zona Laut : Jurnal Inovasi Sains dan Teknologi Kelautan Jurnal Techno Bahari ALEXANDRIA: Journal of Economics, Business, and Entrepreneurship Pengabdian Kampus: Jurnal Informasi Kegiatan Pengabdian Pada Masyarakat AJAD : Jurnal Pengabdian kepada Masyarakat KOMUNIKATA57 Balanca : Jurnal Ekonomi dan Bisnis Islam Jurnal Pengabdian Kepada Masyarakat Mulawarman Jurnal Abdi Masyarakat Multidisiplin Maritime Park: Journal Of Maritime Technology and Socienty Jurnal Teknik Sipil Macca International Journal of Metacentre Jurnal Pengabdian Kepada Masyarakat HIKMATUNA: Journal for Integrative Islamic Studies Journal of Social Knowledge Education (JSKE) Amal Ilmiah: Jurnal Pengabdian Kepada Masyarakat Jurnal Mediakita : Jurnal Komunikasi dan Penyiaran Islam Jurnal Ilmu Hubungan Internasional LINO: Asia Tenggara Dan Dinamika Hubungan Internasional Multidimensional Jurnal Ilmiah Research Student Belalek Hikmatuna GEMBIRA (Pengabdian Kepada Masyarakat) PEDAMAS (Pengabdian Kepada Masyarakat) Marhalado Jurnal Riset & Teknologi Terapan Kemaritiman Purbawidya: Jurnal Penelitian dan Pengembangan Arkeologi MERDEKA: Jurnal Ilmiah Multidisiplin Berkala Arkeologi Indonesian Journal of Maritime Technology or abbreviated (ISMATECH) Tadulako Science and Technology Journal Mammiri: Jurnal Pengabdian Masyarakat Ruhui Rahayu: Jurnal Pengabdian Kepada Masyarakat Jurnal Abdita Naturafarm Ulil Albab JIEP: Jurnal Ilmu Ekonomi dan Pembangunan
Alamsyah
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Journal : Journal of Soft Computing Exploration

 1 
Increasing Accuracy of C4.5 Algorithm Using Information Gain Ratio and Adaboost for Classification of Chronic Kidney Disease Aprilia Lestari; Alamsyah
Journal of Soft Computing Exploration Vol. 1 No. 1 (2020): September 2020
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v1i1.6

Abstract

Data information that has been available is very much and will require a very long time to process large amounts of information data. Therefore, data mining is used to process large amounts of data. Data mining methods can be used to classify patient diseases, one of them is chronic kidney disease. This research used the classification tree method classification with the C4.5 algorithm. In the pre-processing process, a feature selection was applied to reduce attributes that did not increase the results of classification accuracy. The feature selection used the gain ratio. The Ensemble method used adaboost, which well known as boosting. The datasets used by Chronic Kidney Dataset (CKD) were obtained from the UCI repository of learning machine. The purpose of this research was applying the information gain ratio and adaboost ensemble to the chronic kidney disease dataset using the C4.5 algorithm and finding out the results of the accuracy of the C4.5 algorithm based on information gain ratio and adaboost ensemble. The results obtained for the default iteration in adaboost which was 50 iterations. The accuracy of C4.5 stand-alone was obtained 96.66%. The accuracy for C4.5 using information gain ratio was obtained 97.5%, while C4.5 method using information gain ratio and adaboost was obtained 98.33%.
The Implementation of Z-Score Normalization and Boosting Techniques to Increase Accuracy of C4.5 Algorithm in Diagnosing Chronic Kidney Disease Hestu Aji Prihanditya; Alamsyah
Journal of Soft Computing Exploration Vol. 1 No. 1 (2020): September 2020
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v1i1.8

Abstract

In the health sector, data mining can be used as a recommendation to predict a disease from the collection of patient medical record data or health data. One of the techniques can be applied is classification with the C4.5 algorithm. The increasing accuracy can be conducted in data transformation using zscore normalization method. In addition, the implementation of the ensemble method can also improve accuracy of C4.5 algorithm, namely boosting or adaboost. The purpose of this study was determinin the implementation of zscore normalization in the pre-processing and adaboost stages of the C4.5 algorithm and determing the accuracy of the C4.5 algorithm after applying zscore and adaboost normalization in diagnosing chronic kidney disease. In this study, the mining process used k-fold cross validation with the default value k = 10. The implementation of the C4.5 algorithm obtained an accuracy of 96% while the accuracy of the C4.5 algorithm with the zscore normalization method obtained an accuracy of 96.75%. The highest accuracy was obtained from the addition of the boosting method to the C4.5 algorithm and zscore normalization obtained the accuracy of 97.25%. The increasing accuracy was obtained of 1.25% which compared to the accuracy C4.5 algorithm.
Data Security System of Text Messaging Based on Android Mobile Devices Using Advanced Encrytion Standard Dynamic S-BOX Akhmad Sahal Mabruri; Alamsyah
Journal of Soft Computing Exploration Vol. 1 No. 1 (2020): September 2020
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v1i1.10

Abstract

Most of the recent technologies are turning to mobile platforms, Android becames one of the most widely used OS. Eventhough it has complete features, even it's not safe enough such like Chat Messenger. The security of messages distribution is a challenge to increase of vulnerable distribution of information through the network today. Therefore, a data security or cryptographic algorithm is needed to secure the messages so that it cannot be read by irresponsible people. National Institute of Standard and Technology (NIST) established the Advanced Encrytion Standard (AES) cryptographic algorithm as a standard encryption algorithm that is safe and can be used globally. AES algorithm is included in block cipher cryptography that uses substitution boxes (S-BOX) in its operations, so that algorithmically can make input and output unrelated. So, it can provide more varied output in the process, we need a dynamic S-BOX. In this research, dynamic S-BOX generalized using XOR operations from affine transformations with 8-bit binary element matrices arranged and randomly to produce as many as 256 S-Boxes. The application of dynamic AES with S-BOX algorithm on Android-based messenger chat application is built using the Java programming language and database hierarchy for data storage. The implementation results showed that the algorithm was running well and could encrypt the text of the message to ciphertext and decrypt the ciphertext to the original message. This research can be used as a reference so that further researchers can merge the AES algorithm with other algorithms to improve the security of encryption in text files, documents, images, videos or other types of files.
Co-Authors A. Rio Makkulau Wahyu Abdul Fattah Abdul Muchlis Abrina Anggraini, Sinar Perbawani Achmad, Fariz Adi Abdillah Agusdin Agusty, Cindy Lionita Ahda, Falan Yuhlifallohu Akhmad Sahal Mabruri Akhmad Saufi Akil, Rafiuddin Akil, Salsabila Andi Algifari, Muh. Abu Dzar Almubdy Siraj Ramadhan Amirin Kusmiran Andi Alifuddin Andi Erwin Nurba Angela, Emerentia Angreany, Femmy Anjas Syam, Muhammad Aprilia Lestari Ardiyan Saptawan Ariani, Vidya Rezeki Arifuddin, Andi Mursid Nugraha Armanda, Nona Ardelia Aso, La Asrifai Ayu Purnamasari Azhar Azzahra, Marshanda Bahri, Irham Bancin, Sutomo Baratau, Irentya Anugra Barizki, Rezzi Nanda Burliyanto, Decky Cicilia, Siska D, Dahri Desy Arum Sunarta Diswandi Dwiyanti, Diva Syahirah Dwiyanto, Rangga Egyir, Julius Kumi Eko Basuki, Eko Elvira Naharni Sisca Fadhilla Asyri Farrelly, Matthew Ferdinan Fitri, Ade Hajra Rasmita Ngemba Halim, Susanna Hariyono Hasanah, Ummul Hervin Yoki Pradikta Hestu Aji Prihanditya Hijriah Hijriah Ifroh, Riza Hayati Ikhsan, Diyaz S. Indah Sari, Fitria Intan Slipi Lia Irni Irwan Waris Jihan, Nur Kuncara, Tommy Kustiwansa, Harlian Laelah Azizah Lambang Basri Said Lely Novia Lili Erina Lionita Agusty, Cindy Lumbantoruan, Hendra Eliakim M. Uswah Pawara Mahdiana, Riska Mannahali, Misnah Martiandi, Andi Tenri Aulia Martina Martinus Masuwd, Mowafg Abrahem Mawardi Pewangi Mawardi Pewangi, Mawardi Misnah Mannahali mubarak, azhar aras Muftihaturrahmah Burhamzah Muh. Akbar Muh. Said L Muhamad Aristo Indrajaya Muhammad Alim Akbar Nasir Muhammad Effendi Muhammad Redha Anshari Muhammad Zubair Muis Alie Muharom, Restu Muhiban, Ayi Mulharnetti Syas Murni S Muslimin, Supriadi Muthahharah, St Naufal, Daffa Ahmad Nida'ul Hafiyah Nita Maya Valiantien Norhalijah Lira Fitria Nur Muliyana Nuringsih Nuriyati Samatan Nursaripati Risca Nurul Afifah Pranoto, Nanda Wisnu Rahmania, Iffah Rahmat Jaya Ramadana, Andi Najwa Ramadhan Priadi Ramadhandita, Jauzaa Lisgia Ramanathan Rasyda, Riezka Zuhriatika Rulia, Wa Ode S, Abdillah Safitri, Ika Novita Salam, Hisbullah Samsu Dlukha N Sandi Pratama Sandy Suryady Setya Ariani Setyaning Pawestri Siagian, Firman Veryvicasi Vernando Simatupang, Gusrawati, Sander V S Siti Maziyah Sitorus, Chris Jeremy Verian Sonni, Alem Febri Sri Indrahti Suardi Suardi Suci, Indah Melati Suhaeb, Laelah Azizah S. Susy Yuniningsih Syadzali, Abdul Mujib Syahab , Husein Syahab, Husein Syaiful Hendra Syam, Muhammad Anjas Syaputra, Arlian Fachrul Syarifah Fatimah Taufik Hidayat Taufik Hidayat Taufik, Ainul Uyuni Tia Hafizah Tobing, Andreyano Yosefan Lumban Wa Ode Sifatu Wahidah, Jusma Wahyu Kurniati Asri Wahyu Pratama, Fernanda Wardina Suwedy Wiganda, Aldi Pangestu Wira Setiawan WIRANI AISYAH ANWAR, WIRANI AISYAH wulandari, amalia ika Yanti Setianti Yanuar Yoga Prasetyawan Zahra Zhafirah Zainal Aqli Zaini Rahman