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All Journal Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Sistemasi: Jurnal Sistem Informasi INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi J-SAKTI (Jurnal Sains Komputer dan Informatika) JURNAL TEKNOLOGI INFORMASI Jurnal Tekno Kompak Bubungan Tinggi: Jurnal Pengabdian Masyarakat Jurnal Teknik Industri Terintegrasi (JUTIN) Journal of Informatics, Information System, Software Engineering and Applications (INISTA) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Pengabdian Masyarakat Duta Abdimas: Jurnal Pengabdian Masyarakat Jurnal Informatika: Jurnal Pengembangan IT
Basir, Azhar
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences Other

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Enterprise Architecture Planning Sistem Informasi Akademik Dengan TOGAF ADM Basir, Azhar; Fadlil, Abdul; Riadi, Imam
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 3, No 1 (2019): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (537.713 KB) | DOI: 10.30645/j-sakti.v3i1.91

Abstract

The role of information technology greatly influences the improvement of a higher education governance, so that universities today should have models and standards that can be implemented as a reference in enhancing harmony between business strategies and information technology. Enterprise Architecture planning (EAP) is one of the methodologies that can be applied in planning information architecture, the stages in EAP consist of data architecture, application architecture, technology architecture and how the design that has been made can be implemented to support business activities, to achieve the organization's mission.
Knowledge Acquisition for the Stunting Prevention Expert System (SIPENTING) using Decision Tree and Grid Search Basir, Azhar; Tyas, Fitri Ayuning
Sistemasi: Jurnal Sistem Informasi Vol 14, No 3 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i3.5004

Abstract

Stunting is a condition in which toddlers have a shorter height compared to the normal growth standard for their age. Preventing stunting is crucial, as children with stunting are more vulnerable to illnesses, experience growth failure before the age of 12 months, and tend to have lower intellectual abilities. Stunting can be diagnosed even before birth by assessing the nutritional status of pregnant women. Pregnant women with poor nutritional status are at a higher risk of delivering babies with low birth weight (LBW), which in turn increases the risk of stunting. Diagnosing the nutritional status of pregnant women and the risk of giving birth to stunted children typically requires expert knowledge, such as that of midwives or obstetricians. Expert systems make it possible for pregnant women to receive real-time diagnoses without the need for direct consultations with healthcare professionals. Expert knowledge in identifying the nutritional status of pregnant women and indicators of stunting risk is stored in a knowledge base, which is translated into a computer-readable rule base in the form of IF-THEN statements. This process is known as knowledge acquisition. The accuracy of the rule base plays a crucial role in ensuring reliable diagnostic results. Decision Tree is one of the data mining algorithms used to generate rule bases. In this study, the Decision Tree algorithm is optimized using Grid Search as a knowledge acquisition technique to determine the rule base applied in the Stunting Prevention Expert System (SIPENTING). The system is Android-based and aims to help pregnant women better understand their nutritional needs. Testing and validation results show that the Decision Tree model achieved an accuracy of 86.3%.
Peran Akademisi dalam Penjurian LKS Web Technologies melalui Kemitraan dengan MGMP di Kabupaten Brebes Fitri Ayuning Tyas; Setianama, Mamur; Faizin, Ahmad; Basir, Azhar
Jurnal Pengabdian Masyarakat - PIMAS Vol. 4 No. 3 (2025): Agustus
Publisher : LPPM Universitas Harapan Bangsa Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/pimas.v4i3.1900

Abstract

Lomba Kompetensi Siswa (LKS) merupakan ajang kompetensi yang bertujuan untuk mendapatkan siswa-siswi SMK terbaik dari seluruh Indonesia serta akan diikutsertakan pada kompetisi keahlian dan keterampilan tingkat internasional seperti Word Skill International Competition. LKS diawali seleksi di tingkat Kabupaten. SMK di Kabupaten Brebes merupakan SMK yang berada di bawah naungan Cabang Dinas Pendidikan Wilayah XI yang rutin berpartisipasi pada ajang LKS setiap tahunnya. Forum MGMP TKJ dan RPL sebagai panitia LKS Kabupaten Brebes membutuhkan dukungan kemitraan pihak eksternal baik akademisi maupun industri dalam melaksanakan ajang LKS seperti sarana prasarana yang sesuai dengan kebutuhan bidang lomba, soal-soal LKS dan proses penilaian hasil yang lebih objektif. Untuk mengatasi permasalahan tersebut tim PkM Universitas Muhammadiyah Brebes (UMBS) berkontribusi dengan memfasilitasi penyelenggaran LKS Kabupaten Brebes baik dalam bentuk sarana prasarana maupun sebagai dewan juri khususnya di bidang lomba web technologies. Penunjukan dewan juri disesuaikan dengan bidang keahlian dosen UMBS. Peran akademisi sebagai dewan juri diharapkan dapat menghasilkan soal LKS yang berkualitas sesuai perkembangan ilmu Information Technology khususnya bidang web technologies serta penilaian yang lebih objektif. Penetapan hasil terbaik akan diambil 3 juara, sedangkan untuk juara 1 dipilih sebagai perwakilan Kabupaten Brebes di ajang LKS tingkat Provinsi Jawa Tengah.
Sistem Pengelolaan Pajak Bumi dan Bangunan Desa Tambakserang dengan Framework Laravel Pratama, Rosad Andi; Basir, Azhar; Jamil, Abdul
Jurnal Tekno Kompak Vol 18, No 1 (2024): FEBRUARI
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jtk.v18i1.3309

Abstract

Abstrak−Teknologi dimanfaatkan di setiap bidang tidak terkecuali di pemerintahan, dalam mewujudkan tata kelola yang baik pemerintahan memanfaatkan teknologi dalam pengolahan data atau hanya media informasi seperti menampilkan program kerja dan kegiatan pemerintahan, sementara pemanfaatan teknologi dalam proses pengelolaan pajak bumi dan bangunan di Kantor Desa Tambakserang masih manual menggunakan buku dan Microsoft Excel, Untuk mengatasi masalah ini, penelitian bertujuan membangun sistem informasi pengelolaan pajak bumi dan bangunan berbasis website dengan memanfaatkan framework laravel yang memiliki sintak ekspresif dan elegan, serta dirancang khusus untuk memudahkan dan mempercepat proses web development, framework ini juga sudah menggunakan model MVC (model view controller) dan memiliki lisensi open source. Metode penelitian yang digunakan yaitu metode research and development Model 4D (define, design, develop, disseminate), yang meliputi tahap definisi untuk analisis masalah dalam proses pengelolaan pajak bumi dan bangunan, selanjutnya tahap perancangan yaitu merencanakan sistem informasi yang akan dibuat dengan membuat desain sistem, tahap berikutnya pengembangan dengan mengimplementasikan desain sistem dan melakukan validasi ahli kemudian dilakukan uji coba fungsionalitas, terakhir tahap penyebarluasan yaitu memberikan evaluasi dari hasil validasi, dan uji coba fungsionalitas. Penelitian ini menghasilkan sistem informasi pajak bumi dan bangunan yang bisa menjadi alat bantu dalam pengelolaan pajak bumi dan bangunan di Desa Tambakserang, dengan hasil validasi ahli yang mencapai skor 86%, dan uji coba fungsionalitas dengan 3 responden yang hasilnya mencapai 84% sehingga bisa dikatakan bahwa sistem ini sudah layak digunakan.Kata Kunci: PBB, Web Development,  Model, View, Controller, Lisensi, Open Source, Research and Development, Framework, Define, Design, Develop, Disseminate, Laravel, Ekspresif, Elegan.
Exploration of the Dempster-Shafer Theory for Diagnosing Hardware Damage: Comparative Study with the Certainty Factor Method Koidah, Koidah; Basir, Azhar; Jamil, Abdul
Journal of INISTA Vol 6 No 2 (2024): May 2024
Publisher : LPPM Institut Teknologi Telkom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/inista.v6i2.1401

Abstract

Comparative research is a research method that compares two or more research objects to expand understanding of them. In this context, we compare the Certainty Factor method and the Dempster-Shafer method in diagnosing computer hardware damage. The Certainty Factor method measures an expert's confidence in the solution that will be provided. On the other hand, the Dempster-Shafer method is a useful theory in situations where uncertainty dominates. This research focuses on comparing the effectiveness of the two methods in detecting computer hardware damage. An experimental approach is used to look for causal relationships between variables controlled by the researcher. The research results show that the Certainty Factor method has an average success rate of 14.51%, while the Dempster-Shafer method reaches 84.27% in terms of error difference. From these results, it can be concluded that the Certainty Factor method is more effective in diagnosing computer hardware damage. Keywords: INISTA, journal, MS.Word template
Application Rule Base on Facial Skin Type Identification Expert System using Forward Chaining Basir, Azhar; Tyas, Fitri Ayuning; Maghsyari, Yusril Ahzam
Sistemasi: Jurnal Sistem Informasi Vol 13, No 4 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i4.4071

Abstract

Most people, especially women, have a great desire to have white, healthy, clean and well-maintained facial skin. However, their knowledge about facial skin types is still limited, even though consulting with an expert requires a lot of time and money which results in someone not paying attention to facial skin type when carrying out treatment. Therefore, an expert system is needed that can help identify facial skin types. A rule base is a rule created based on expert knowledge needed to create an expert system. The forward chaining method is a search method or forward tracing technique that starts from existing information and combines rules to produce a conclusion or goal. The research results show that this application can run well and is suitable for use. Based on the results of system testing from an expert, it was concluded that identifying facial skin types based on facial skin criteria using the forward chaining method had an accuracy rate of 84% where the results of system testing produced several conclusions about the appropriate type of facial skin with the selected criteria data.
Integration of Zachman Framework and TOGAF ADM on Academic Information Systems Modeling Fadlil, Abdul; Riadi, Imam; Basir, Azhar
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 5 No 1 (2021): February 2021
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1952.179 KB) | DOI: 10.29407/intensif.v5i1.14678

Abstract

Zachman Framework (ZF) and The Open Group Architecture Framework (TOGAF) are Architecture Frameworks often used in Architecture Enterprise's implementation. Each side of the two architecture Frameworks has advantages and disadvantages. Sekolah Tinggi Manajemen Informatika dan Komputer Muhammadiyah Paguyangan Brebes (STMIK MPB) is a new university established on April 28, 2017; STMIK MPB as a new university has no plans in building an information system. The research will select the parts that exist in the ZF and TOGAF methodologies. The two methods will be combined and compiled to be applied to the Academic Information System modeling or blended methods. These research results are architectural blueprints that can be used as a reference in the development of academic information systems.
Identification of Speech Recognition Using K-Nearest Neighbor Method Hanif, Abdullah; Triadi, Fara; Jaya, Arsan Kumala; Hartanto, Subhan; Basir, Azhar
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 9 No. 1 (2026): January
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v9i1.56699

Abstract

Speech is a part of the human that has unique characteristics so that it can be distinguished from one person with someone else. Speech delivered, has a variety of information so that in its application it can be used to carry out voice commands using speech. In signal processing, Mel Frequency Cepstrum Coefficient (MFCC) is a method used for feature extraction. In this study, MFCC is used as a feature extraction method using Matlab R2017a and K-Nearest Neighbor (KNN) software used to identify and classify voice commands spoken by the speaker using speech pattern patterns obtained from the MFCC. This study uses 10 training data for each voice command word consisting of open, close, message and gallery, and 5 test data for each voice command word. Voice data is used using different words and different speakers. This research yields an accuracy level of 60% in voice Buka, 60% in voice Tutup, 60% in voice Pesan and 65% in voice Galeri.
Co-Authors Abdul Fadlil Abdul Fadlil Abdul Jamil Ahmad Faizin, Ahmad Akbar, Muhammad Syaeful Fara Triadi Fauzan Ishlakhuddin Hanif, Abdullah Hartanto, Subhan Imam Riadi Intan Alifiani Jaya, Arsan Kumala Koidah, Koidah Maghsyari, Yusril Ahzam Mamur Setianama Nur Fatah, Dhita Aprilian Nurlaela Nurlaela Pahlevi, Ryan Fitrian Pratama, Rosad Andi Setianama, Mamur