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All Journal International Journal of Evaluation and Research in Education (IJERE) Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) International Journal of Artificial Intelligence Indonesian Journal of Electrical Engineering and Computer Science International Journal of Recent Technology and Applied Science (IJORTAS) International Journal of Law and Public Policy (IJLAPP) Journal of Engineering, Technology, and Applied Science (JETAS) Journal of Humanities and Social Science (JHASS) Jurnal Teknologi dan Vokasi
Panessai, Ismail Yusuf
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Agriculture, Biological Sciences & Forestry Arts Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Physics Social Sciences

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Journal : Journal of Engineering, Technology, and Applied Science (JETAS)

 1 
Determination of Employee Bonuses Using the Analytic Network Process Method at PT. Global Harvest Precision Engineering Apandi, Suliza; Veza, Okta; Majid, Sanusi; Pratiwi; Panessai, Ismail Yusuf
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 2 No 1: April 2020
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.jetas-0201.94

Abstract

Penelitian ini bertujuan merancang sistem pendukung keputusan dalam menentukan karyawan penerima bonus pada PT. Global Harvest Precision Engineering yang beralamat di lot 21 citra buana III Batam Centre Kepulauan Riau. Dikarenakan tidak adanya sistem pendukung keputusan yang membantu dalam menentukan karyawan penerima bonus, sehingga dibutuhkannya perancangan sistem pendukung keputusan. Data pada sistem pendukung keputusan penetuan bonus karyawan ini diperoleh dari data karyawan dari bulan januari sampai dengan Juni 2019, yang terdiri dari nama, tempat tanggal lahir, alamat dan jenis kelamin beserta data absen perbulan. Model sistem yang digunakan Data Flow Diagram (DFD). Sistem pendukung keputusan dirancang berbasis web mobile dengan menggunakan bahasa pemograman Hypertext Preprocessor (PHP) dan database MySQL. Teknik Penelitian kuantitatif, dengan mengumpulkan data-data hasil perhitungan. Penelitian menghasilkan aplikasi sistem pendukung keputusan berbasis web mobile dalam menentukan karyawan penerima bonus. Pengujian dalam aplikasi menggunakan blackbox. Determination of Employee Bonuses Using the Analytic Network Process Method at PT. Global Harvest Precision Engineering Abstract: This study aims to design a decision support system in determining employee bonus recipients at PT. Global Harvest Precision Engineering which is located at lot 21 Citra Buana III Batam Center Riau Islands. Due to the absence of a decision support system that helps in determining the bonus employee, a decision support system design is needed. Data on the decision support system for determining employee bonuses is obtained from employee data from January to June 2019, which consists of name, place of birth date, address and gender along with monthly absence data. The system model used is Data Flow Diagrams (DFD). Decision support system is designed based on mobile web using the Hypertext Preprocessor (PHP) programming language and MySQL database. Quantitative research techniques, by collecting data from calculations. The research resulted in the application of a web-based mobile decision support system in determining employee bonus recipients. In-app testing uses a blackbox. Keywords: Analytic Network Process, Decision Support System, Mobile Web.
Student Guidance and Counseling based on Expert System Using Certainty Factor Method Novaliyan, Alvin Rangga; Fernandes, Atman Lucky; Hendro Wahyudiono, Pratiwi; Olva, Maria; Suganda, Afdal; Ismail; Iksan, Nur; Yani, Achmad; Panessai, Ismail Yusuf
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 3 No 2: August 2021
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.jetas-0302.234

Abstract

Setiap kampus atau perguruan tinggi memiliki satu layanan yang disebut bimbingan dan konseling. Peran ini dipegang oleh dosen penasehat akademik. Beban kerja dosen penasehat akademik menjadi tinggi ketika rasio jumlah dosen dan mahasiswa rendah. Untuk meringankan beban kerja dosen penasehat akademik maka dibuat sebuah sistem pakar yang dapat memudahkan mahasiswa dan dosen penasehat akademik dalam mengatasi permasalahan yang ada. Pembangunan sitem pakar ini menggunakan metode pengembangan Expert System Development Life Cycle (ESDLC). Aplikasi yang dibangunkan kemudian diujikan kepada mahasiswa Teknik Informatika di Universitas Ibnu Sina. Pengujian meliputi uji Black Box. Dari evaluasi pengguna diperoleh hasil bahwa sistem pakar yang dibangunkan dapat digunakan untuk menangani masalah-masalah seperti yang telah disimpan dalam daftar data masalah dan solusi. Tampilan estetika sistem harus diperbaiki agar pengguna tertarik untuk menggunakannya. Beberapa pengguna mengusulkan elemen multimedia dimasukkan dalam tampilan sistem pakar yang dibangunkan agar tampilannya lebih menarik. Student Guidance and Counseling based on Expert System Using Certainty Factor Method Abstract: Every campus or college has one service called guidance and counseling. This role is held by the academic advisory lecturer. The workload of academic advisory lecturers becomes high when the ratio of the number of lecturers to students is low. To ease the workload of academic advisory lecturers, an expert system is made that can facilitate students and academic advisory lecturers in overcoming existing problems. The development of this expert system uses the Expert System Development Life Cycle (ESDLC) development method. The application that was developed was then tested on Informatics Engineering students at Ibn Sina University. Tests include the Black Box tests. From the evaluation of the user obtained the results that the developed expert system can be used to deal with problems such as those that have been stored in the list of problem data and solutions. The aesthetic appearance of the system must be improved in order for users to be interested in using it. Some users suggest multimedia elements be included in the developed expert system view to make it look more attractive. Keywords: Guidance and Counseling, Certanty Factor, Expert Systems.
Ease of Use of Augmented Reality as an Online Learning Tool to Improve Student Performance and Achievement in Wood Carving Art Krishna Pillai, Salini; Iksan, Nur; Abd Arif, Harleny; Panessai, Ismail Yusuf; Abdulbaqie, Azmi Shawkat; Yani, Achmad; Ismail
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 3 No 2: August 2021
Publisher : Lamintang Education and Training Centre, in collaboration with the International Association of Educators, Scientists, Technologists, and Engineers (IA-ESTE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36079/lamintang.jetas-0302.256

Abstract

Krisis global pasca merebaknya epidemi Covid-19 berdampak pada proses belajar mengajar (PdP). Masalah utama pdP selama epidemi Covid-19 adalah keterbatasan dalam melakukan kegiatan tatap muka di dalam kelas. Oleh karena itu, diperlukan bantuan pembelajaran agar PdP dapat berjalan optimal meskipun tidak ada interaksi tatap muka antara guru dan siswa. Penelitian ini menyoroti penerapan Augmented Reality untuk mendukung pembelajaran jarak jauh dalam situasi epidemi Covid-19, khususnya dalam topik seni ukiran kayu. Aplikasi selular AR Wood Carving Art menggunakan model desain ADDIE. Aplikasi seluler AR Wood Carving Art dievaluasi berdasarkan kegunaannya (ease of use). Berdasarkan hasil penelitian, responden menyetujui bahwa aplikasi selular AR Wood Craving Art berguna dan aplikasi menghemat waktu ketika pengguna menggunakannya sehingga aplikasi selular AR Wood Craving Art efektif digunakan dalam pembelajaran yang membuat pengguna lebih produktif, kreatif, dan inovatif. Ease of Use of Augmented Reality as an Online Learning Tool to Improve Student Performance and Achievement in Wood Carving Art Abstract: The global crisis following the outbreak of the Covid-19 epidemic has had an impact on the teaching and learning process (PdP). The main problem with PdP during the Covid-19 epidemic was the limitation in conducting face-to-face activities in the classroom. Therefore, a learning aid is needed to enable PdP to run optimally even though there is no face-to-face interaction between teachers and students. This research highlights the application of Augmented Reality to support distance learning in the Covid-19 epidemic situation, specializing in Wood Carving Art for the subject of Visual Arts. The AR Wood Carving Art mobile application uses the ADDIE design model. The AR Wood Carving Art mobile application is evaluated based on its ease of use. Based on the result, respondents agree that the AR Wood Craving Art mobile application is useful and the application saves time when users use it, therefore the AR Wood Craving Art mobile application is effectively used in learning which makes users more productive, creative, and innovative. Keywords: Augmented Reality, Ease of Use, Teaching and Learning.
Co-Authors Abd Arif, Harleny Abdulbaqi, Azmi Shawkat Abdulbaqie, Azmi Shawkat Aditya Rahman, Raden Topan Afriani Agus Lokman Sulam Amir Hamzah, Fikri Nur Izzudin Apandi, Suliza Azizi , Muhammad Arief Azmi Shawkat Abdulbaqie Balasingam, Sheshalani Bilong, Aldrin Aran Dansy, Sholestica Elmie Dedy Iskandar Effendi, Eddy Esro, Mazran Esti Yuandari, Esti Fernandes, Atman Lucky Fujita, Shunya Hendro Wahyudiono, Pratiwi Hishamuddin Ahmad Hossain, Md Meem Ika Mardiatul Ulfa, Ika Mardiatul Ismail Ismail Ismail Yusuf Panessai Ismail, Andi Almeira Zocha Ismail, Andi Regina Acacia Krishna Pillai, Salini Lakulu, Muhammad Modi Lensi Natalia Tambunan, Lensi Natalia Mahmood, Sawsan. D Majid, Sanusi Manaf, Abdi Maulana, Mirza Arif Mohana, Dharnishaa Mohd Razimi Husin Mohd Zulkefli, Nurul Akhmal Ningsih, Fitriani Norliza Abdul Majid Novaliyan, Alvin Rangga Nur Diyana Nur Iksan Nur Iksan Olva, Maria Pratiwi Reza Nandika Saad, Ahmad Fadli Saif Al-din, Saif, M. N. Sakamoto, Kenji Salini Krishna Pillai Siva Kumar Subramaniam Subramaniam, Siva Kumar Suganda, Afdal Takahashi, Hiroko Veza, Okta Yani, Achmad Yusuf, Achmad Yani Zapiee, Mohd Khuzaimi Zariman, Asnazulfadhli