International Journal of Advances in Applied Sciences (IJAAS), p-ISSN 2252-8814, e-ISSN 2722-2594, is a peer-reviewed and open access journal dedicated to publish significant research findings in the field of Applied Sciences, Engineering and Information Technology. The IJAAS is designed to serve researchers, developers, professionals, graduate students and others interested in state-of-the art research activities in applied science, engineering and information technology areas, which cover topics including: applied physics; applied chemistry; applied biology; environmental and earth sciences; electrical & electronic engineering; instrumentation & control; telecommunications & computer science; industrial engineering; materials & manufacturing; mechanical, mechatronics & civil engineering; food, chemical & agricultural engineering; and acoustic & music engineering. This journal is published by Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU), and is recognized (accredited) by the Ministry of Education, Culture, Research, and Technology of the Republic of Indonesia (Decree No. 79/E/KPT/2023). Scopus has been indexing this journal since the 2019 issues, and Scimagojr has been indexing it as of 2023. This journal has a CiteScore of 0.9, SNIP of 0.286, and SJR of 0.142.
In this regard, we would like to invite you to submit original research papers for publication. Articles are invited for current issue. Kindly please download the IJAAS template in MS Word or LaTeX.
The IJAAS Features
- Plagiarism: All manuscripts submitted to the IJAAS are screened using CrossCheck powered by iThenticate to identify any plagiarized content.
- DOI: Institute of Advanced Engineering and Science (IAES) as publisher of the IJAAS is a member of Crossref. After acceptance, each articles will be assigned with a worldwide unique DOI Number which is indexed by Crossref.
- Open Access: IJAAS is part of online open access, which allows authors to access published article anytime and anywhere. All articles can be accessed for free.
- Full Archive Available: Every issue of Journal of IJAAS is available online from volume 1 issue 1 to the latest published issue with month and year.
- ISSN Record Information: https://portal.issn.org/resource/ISSN/2722-2594
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Vol 13, No 4: December 2024
Table of Contents
Adriana Haziqah Mohd Aizam, Nofri Yenita Dahlan, Saidatul Habsah Asman, Siti Hajar Yusoff
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759-768
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Nurliyana Baharin, Mohamad Fani Sulaima, Nofri Yenita Dahlan, Hazlie Mokhlis
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769-776
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Akmal Mustaffa Zulhakim, Wan Fazlida Hanim Abdullah, Ahmad Zaki Abu Bakar, Robaiah Mamat, Ili Shairah Abdul Halim, Muhammad Izzat Alif Muslan, Sukreen Hana Herman
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777-786
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Muhammad Zakwan Abdul Karim, Norashikin M. Thamrin, Ruhizan Liza Ahmad Shauri, Rozita Jailani, Mohd Haidzir Abd Manaf, Nurul Amirah Mustapa
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787-795
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Muhammad Aiman Amin Muhammad Suhaimi, Nofri Yenita Dahlan, Saidatul Habsah Asman, Natarajan Rajasekar, Hassan Mohamed
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796-805
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Vania Christy, Johanes Fernandes Andry, Ahya Radiatul Kamila, Francka Sakti Lee
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806-813
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Bhakti Etza Setiani, Yoyok Budi Pramono, Nurwantoro Nurwantoro, Bambang Dwiloka, Annisa Shafa Putri Arini, Ilma Muliasari Ramadhaningrum, Elisabeth Febriane Lovita Sudjono
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814-820
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Suryadi Suryadi, Mariyam Jamilah Homam, Rohaida Mat Akir, Mardina Abdullah
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821-829
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Cevin Samuel, Irsan Taufik Ali
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830-839
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JosephNg Poh Soon, Nair Preeta, Kumar Praveen, Kok Peng Yew, Phan Koo Yuen
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840-849
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Ma. Shiela G. Mendoza, Danilo V. Rogayan Jr.
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850-859
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Rachawit Tipsena, Wirapong Chansanam, Kulthida Tuamsuk, Tossapon Boongoen
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860-877
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JosephNg Poh Soon, Rou Qian Chan, Qian Hui Lee, Dick En Loke, Stevenson Ling Heng Chun, Phan Koo Yuen
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878-886
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Maryudi Maryudi, Dhias Cahya Hakika, Firda Mahira Alfiata Chusna, Amillia Amillia
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887-895
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Dana Marsetiya Utama, Artha Bripka Putri
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896-906
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Bentang Anggarajati, Y Yatini, Wiji Raharjo
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907-915
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Gaurav Himanta Khaklari, Prasenjit Talukdar
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916-931
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Sharifah Nur Fatieha Mohamad, Nurafnida Afrizal, Muhammad Zalani Daud, Md Rabiul Awal
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932-943
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Early detection of coronary heart disease based on risk factors using interpretable machine learning
Wiharto Wiharto, Farah Nada Mufidah
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944-956
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Moussa Barry, Ahasanul Haque, Muhammad Tahir Jan
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957-969
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Yasser Boukioud, Kaoutar Senhaji Rhazi, Youssef Mejdoub
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970-980
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Ibrahim F Tahoun, Mohamed Adly Gab-Allah
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981-986
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Shakila Rahman, Syed muhammad Hasnat Jamee, Jakaria Khan Rafi, Jafrin Sultana Juthi, Abdul Aziz Sajib, Jia Uddin
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987-999
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Bagas Cahya Mardikatama, Danar Susilo Wijayanto, Taufik Wisnu Saputra
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1000-1008
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Ovide Decroly Wisnu Ardhi, Tri Retnaningsih Soeprobowati, Kusworo Adi, Esa Prakasa, Arief Rachman
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1009-1018
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Cadelina Cassandra, Mohamad Noorman Masrek, Fadhilah Aman
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1019-1027
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Asrori Asrori, Sugeng Hadi Susilo, Satworo Adiwidodo, Elka Faizal, Mira Esculenta Martawati, Moh. Hartono
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1028-1038
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Romaynoor Ismy, Suhaimi Suhaimi, Raden Dedi Iman Kurnia, Richard Mareno
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1039-1045
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Ashwag Alsofiani, Maizaitulaidawati Md Husin
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1046-1054
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Nabila Ounasser, Maryem Rhanoui, Mounia Mikram, Bouchra El Asri
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1055-1064
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Suresh Kumar Panjwani, Muhammad Yar Khuhawar, Ghulam Murtaza, Vinod Kumar, Zohaib ur Rehman Bughio, Paryanka Devi, Indra Devi Sewani
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1065-1074
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