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All Journal METANA JDM (Jurnal Dinamika Manajemen) Prosiding Seminar Nasional Teknoka DHARMA EKONOMI Jurnal Pengelolaan Laboratorium Pendidikan Metalurgi Jurnal Ilmu Manajemen dan Akuntansi Terapan Prima Ekonomika : Jurnal Ekonomi dan Bisnis Jurnal TIKOMSIN (Teknologi Informasi dan Komunikasi Sinar Nusantara) Journal of Practical Computer Science (JPCS) Makara Journal of Technology Prosiding Seminar Nasional Teknik Sipil UMS Metalurgi Jurnal Pengabdian Masyarakat Ilmu Komputer Jurnal Pengabdian Masyarakat Teknologi dan Pendidikan (MANTAP) Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA)
Sri Harjanto
Departemen Metalurgi dan Material, Fakultas Teknik, Universitas Indonesia, Depok 16424, Indonesia
Religion Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Social Sciences

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Journal : Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA)

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Analisa Tingkat Kepuasan Pengguna Website Badan Kepegawaian, Pendidikan, Dan Pelatihan Daerah Pemerintah Kabupaten Boyolali Menggunakan Metode End User Computing Satisfaction Agustiningsih, Yuliana; Harjanto, Sri; Setiyowati
Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) Vol. 1 No. 1 (2024): Journal of Information Technology, Computer Engineering and Artificial Intellig
Publisher : Redtech Putra Benua

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The Boyolali District Civil Service, Education, and Training Agency (BKP2D) serves as a platform for exchanging information with Civil Servants (PNS) in Boyolali Regency. The Boyolali Regency Government continuously develops and improves the website to ensure the quality and satisfaction of its users. However, the level of user satisfaction with the BKP2D website among its users is not yet known. Therefore, the End User Computing Satisfaction (EUCS) method is employed to determine the extent of user satisfaction with the website. This method involves measuring variables that encompass content, accuracy, format, ease of use, and timeliness. The BKP2D website for Boyolali Regency can be accessed at http://bkp2d.boyolali.go.id/. The research was conducted by distributing questionnaires through Google Forms to 379 respondents. The data from the questionnaires were processed using SPSS for descriptive statistical analysis. The research results indicate an average score of 3.29 (satisfied), which means that users generally find the BKP2D website satisfactory
Detection of H1N1 Sequence Alignment with Basic Local Alignment Search Vulandari, Retno Tri; Harjanto, Sri
Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) Vol. 1 No. 2 (2024): Journal of Information Technology, Computer Engineering and Artificial Intellig
Publisher : Redtech Putra Benua

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Bioinformatics is a science that studies the management and analysis of biological information. Bioinformatics includes application of mathematics, statistics, and informatics to biological problems to solve. Bioinformatics can store data generated by the genome project with regular and high degree of accuracy. Basic local alignment search is one of the methods used to process penyejajaran molecular data sequences. In 2009, there is a virus that attacks the respiratory tract that is the swine flu. The virus is spread around the world, so that retrieved the journal research on diverse virus DNA sequences in different endemic countries. Therefore, in this study will be explained about the process sequence alignment of the H1N1 swine flu virus. H1N1 Weiss AF 250365.2 and H1N1 Swine AF250364.2 have 90% similarity level.
Aplikasi Sistem Pakar Pendeteksi Kerusakan Pada Mesin Bubut Menggunakan Metode Forward Chaining Harjanto, Sri; Pandhu Sudibya, Gilang; Kusumaningrum, Adriani
Journal of Information Technology, Computer Engineering and Artificial Intelligence (ITCEA) Vol. 3 No. 1 (2026): Journal of Information Technology, Computer Engineering and Artificial Intellig
Publisher : Redtech Putra Benua

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A lathe machine is a tool capable of cutting metal into specific shapes, qualities, and dimensions as planned. Damage to a lathe machine is often difficult to identify and requires specialized handling; it typically needs to be transported to a workshop, which is both time-consuming and labor-intensive. Therefore, it is necessary to develop an expert system using the Forward Chaining algorithm to diagnose malfunctions in lathe machines. Forward Chaining is an inference method that initiates tracking by tracing data based on the facts of the observed symptoms. These symptoms are compared against standard rules and processed to generate solutions for the identified issues. The expert system is designed as a web-based application using the PHP programming language and a MySQL database. This system is intended to assist lathe machine operators and novice mechanics in identifying and addressing damages based on observed symptoms. Validation testing of this web-based expert system yielded a result of 83.3%, demonstrating its effectiveness in assisting users.
Co-Authors Abidin, Faizinal Agus Sukarto Wismogroho, Agus Sukarto Agustiningsih, Yuliana Ahmad Zakiyuddin Akhmad Herman Yuwono Amal, Muhamad Ikhlasul Andriyah, Lia Andriyah, Lia Arbi Dimyati Ari Wibowo Bambang Suharno Bustanul Arifin Duroriyatul Aulya, Duroriyatul Eko Sulistiyono, Eko Eny Kusrini Erryani, Aprilia Firdiyono, Firdiyono Florentinus Firdiyono Hakim, Rifaldi Ali Hanny Hafiar Heru Sulistiyo, Heru Ika Kartika Irawan, Januar Kawigraha, Aji Kusumaningrum, Adriani Lalasari, Latifa Hanum Lalasari, Latifa Hanum Marzuki Silalahi Muslimin Muslimin N, Elfi Natasha, Nadia Chrisayu Nofrijon Sofyan, Nofrijon Noor Salim Noviyanto, Alfian Nurhayati, Neni Octapiani Nurul Hidayati Nurul Taufiqu Rochman P, Nur Vita Pandhu Sudibya, Gilang Pudji Untoro Raharja, Bayu Dwi Raharjo Raharjo Raharjo, R Retno Tri Vulandari Rokhmanto, Fendy Sefriani, Eka Widya Senja Rum Harnaeni Setiyowati Setyawan, Albertus Deny Heri Sri Siswanti Suharyanto, Ariyo Sulistiyowati, Arini Sutono -, Sutono Teguh Susyanto Thaha, Yudi Nugraha Tri Arini, Tri Tri Irawati, Tri Tri Vulandari, Retno Wahyu Bambang Widayatno, Wahyu Bambang Waskitho, Anggit Widhi Wijayanto, Hendro Winarti HS, Endah Yunita, Fariza Eka