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Visitor Management Information System during the Covid-19 Pandemic Fauzan; Basar, Abdul Rohmad; Olva, Maria; Hendro Wahyudiono, Pratiwi; Iksan, Nur; Yani, Achmad
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-0302.235

PT. Epson Batam (PEB) adalah perusahaan multinasional dengan jumlah karyawan lebih dari 3000 orang. Banyaknya tamu (non-karyawan) yang datang ke PT. Epson Batam setiap harinya seperti kunjungan dari instansi pemerintah, partner perusahaan, vendor dan supplier, menyebabkan adanya kebutuhan terhadap aplikasi khusus yang dapat memudahkan perusahaan dalam mengelola data-data para tamu yang berkunjung ke perusahaan dan memudahkan pihak pengaman perusahaan dalam melakukan pencatatan dan rekap tamu yang berkunjung. Penelitian ini bertujuan untuk merancang sebuah sistem informasi pengelolaan pengunjung di masa pandemik Covid-19. Berdasarkan maklum balas dari pengguna disimpulkan bahwa sistem yang dibangunkan bisa digunakan dan berfungsi dengan baik tetapi perlu pengembangan yang memungkinkan sistem informasi terintegrasi dengan alat pengukur suhu. Visitor Management Information System during the Covid-19 Pandemic Abstract: PT. Epson Batam (PEB) is a multinational company with more than 3000 employees. The number of guests (non-employees) who come to PT. Epson Batam every day such as visits from government agencies, company partners, vendors and suppliers, causes the need for special applications that can make it easier for companies to manage the data of guests who visit the company and make it easier for company security to record and recap guests who visit the company. This study aims to design a visitor management information system during the Covid-19 pandemic. Based on the feedback from users, it is concluded that the system developed can be used and functions well but needs development that allows an integrated information system with temperature measuring devices. Keywords: Covid-19, Information System, Management Visitor.

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

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.

Augmented Realiti Application For Introducing Animal Names in Kadazandusun Language Primary School Salun, Rozella; Ahmad Zaki, Nadia Akma; Yani, Achmad; Iksan, Nur
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 5 No 1: April 2023
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-0501.502

Kajian ini adalah mengenai satu Aplikasi Augmented Realiti, dimana ia menjurus kepada memperkenalkan nama-nama haiwan dalam subjek Bahasa Kadazandusun untuk murid Tahun. Selain itu, aplikasi ini dibangunkan sebagai BBM bagi subjek BKD di sekolah rendah, dimana subjek ini masih baru diperkenalkan dan memerlukan BBM yang berbentuk teknologi dalam PDP untuk memastikan pembelajaran lebih bermakna. Objektif utama pembangunan projek ini adalah untuk membangunkan satu aplikasi yang membolehkan murid mengenali nama-nama haiwan dalam Bahasa Kadazandusun secara nyata melalui aplikasi Augmented Realiti. Keadah yang saya gunakan untuk membangunkan aplikasi ini adalah, kaedah ADDIE yang terdiri daripada fasa analisis, fasa reka bentuk, fasa pembangunan, fasa pelaksanaan dan fasa penilaian. Aplikasi ini dibangunkan dengan menggunakan beberapa perisian iaitu, perisian unity 3D, perisian JSK, dan perisian SDK. Pengkaji menggunakan borang soal selidik sebagai instrumen utama kajian untuk mendapatkan maklumat penting daripada respondon untuk dianalisis. Kesimpulannya, aplikasi Augmented Realiti adalah salah satu alat bantu mengajar kepada para guru agar pembelajaran di dalam kelas lebih menarik perhatian murid. Augmented Realiti Application For Introducing Animal Names in Kadazandusun Language Primary School Abstract: This research is about Augmented Reality application, where it leads to introducing animal names in Kadazandusun language subject in primary school year 1. More than that, the application was develop as teaching aids in primary school, where the Kadazandusun language subject newly introduced and need teaching more meaningful. The main objective to this application development is allows students to recognize the Kadazandusun language in real time through Augmented Reality application. The method that I was used to develop the application is, ADDIE method which consists of analysis phase, design phase, development phase, implementation phase and assessment phase. The application was develop using some software, unity 3D software, JSK software and SDK software. The researcher used a questionnaire as the main instrument of the study to option important information from respondents for analysis. In conclusion, Augmented Reality application is one of the teaching aids for teachers so that learning in the classroom is more attractive to students. Keywords: ADDIE, Augmented Reality, Teaching and Learning Aids.

Bird Species Classification System Using Transfer Learning Saad, Ahmad Fadli; Muhaiyuddin, Arina Syakirah; Iksan, Nur
Journal of Engineering, Technology, and Applied Science (JETAS) Vol 6 No 2: August 2024
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-0602.651

Manual recognition is limited by the observer's expertise and knowledge, which can lead to errors when observed by non-experts. The objective of this research is to create a machine learning algorithm that can accurately classify bird species based on physical features and develop a software system that includes the machine learning algorithm, allowing for efficient classification of different bird species. This research also wants to evaluate the accuracy of the approach in real-world scenarios. The methodology research uses the machine learning life cycle model and software development life cycle model. The research aims to provide a user-friendly interface that recommends bird species classifications based on uploaded images, ultimately contributing to a more accessible and informative bird identification experience. In this research, the F1-score with fine-tuning is reported as 0.8889. It is close to 1, it suggests a well-balanced performance in terms of correctly identifying positive instances which is precision, and capturing relevant positive instances which are recalled. Based on the result, the proposed system can enhance users' ability to accurately identify and classify various bird species through the utilization of a pre-trained convolutional neural network model.

Tele Alert System Based on ECG Signal Using Virtual Instruments Environment Saif Al-din, Saif, M. N.; Mahmood, Sawsan. D; Abdulbaqi, Azmi Shawkat; Panessai, Ismail Yusuf; Yani, Achmad; Manaf, Abdi; Iksan, Nur
International Journal of Artificial Intelligence Vol 9 No 2: December 2022
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.ijai-0902.464

This manuscript addresses the design and implementation of a portable PC-based ECG device. Three electrodes are often employed for ECG recording, with two of them being connected to the patient's chest via the ECG amplifiers' differential inputs. Therefore, every stage of the design takes into account factors like low cost, low power consumption, portability, and simplicity of usage. In this system, the ATMEL Company's ATMEGA 328 low-power microcontroller is investigated for signal processing and delivering digital format to a PC through a serial connection, where it is then displayed utilizing LabVIEWTM SP1 software ( The released version in Feb. 2022). A portable tool that can capture, amplify, filter, and analyze biological signals is this one ECG. The intended device's target beneficiary was the intensive care unit.

Expert System for Diagnosis Coronavirus Disease Elmie Dansy, Sholestica; Yani, Achmad; Manaf, Abdi; Abdulbaqi, Azmi Shawkat; Iksan, Nur
International Journal of Artificial Intelligence Vol 10 No 1: June 2023
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.ijai-01001.537

The latest issue of the disease called COVID-19 has become famous all over the world. Hence, through this problem, it found that this disease have the same symptom with other diseases such as Influenza and also normal flu. Detecting diseases at early stage can enable to overcome and treat them appropriately. This is because many of peoples does not know and does not aware of the symptom of this various diseases. In an effort to address those problems, an Expert System for Corona Earlier Detection has been proposed to help the doctors to detect those various diseases in human body. Through this research, the researcher will held an interview with the doctors to collect data and information about those diseases’ symptoms and also search for the related articles to make sure this research going successfully. The method that will be used in this research is Certainty Factor. To conclude, this system will be useful to the healthcare department as it will give earlier detection when the patient are positively exposed to the disease that is known by Corona.

SISTEM CERDAS PENDIAGNOSIS KECANDUAN INTERNET YANG MENGGUNAKAN SISTEM PAKAR RUNUT MUNDUR Iksan, Nur; Yani, Achmad; Manaf, Abdi; Ismail; Panessai, Ismail Yusuf
Jurnal Teknologi dan Vokasi Vol 1 No 2 (2023): Jurnal Teknologi dan Vokasi
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtv.2023.1.2.89-102

Starting with COVID19, almost everyone around the world uses the internet, even to the worrying stage, namely internet addiction. Several studies report that the level of addiction to using the internet network is getting higher even though COVID19 has subsided. Teenagers have not been able to choose useful internet connection activities and they are more prone to experiencing bad influences from the social environment. To overcome this they need support from psychologists so they can prevent and diagnose early before they become sufferers of severe internet addiction. But on the other hand, the number of psychologists who can help is still very limited, especially in small towns. In addition, economic factors and limited time for parents to accompany their children to visit psychologists are the main obstacles. Therefore it is necessary to find a solution that can overcome the limitations and barriers to adolescents in obtaining services from a psychologist. One solution to this problem is to build an expert system that can work as a psychologist. The purpose of this research is to build an expert system application for diagnosing internet addiction using the backward chaining method. Internet addiction level is categorized in low, medium and high. System testing is carried out using black box testing which allows experts to obtain a set of output conditions that will carry out all functional requirements of the program. This test shows that the inout and output data has been running as expected.

Asisten Diagnostik Cerdas Untuk Kecanduan Internet Berbasis Sistem Pakar Yang Menggunakan Runut Mundur Iksan, Nur; Yani, Achmad; Manaf, Abdi; Ismail, Ismail; Panessai, Ismail Yusuf
Jurnal Sains dan Teknologi (JSIT) Vol. 3 No. 3 (2023): September - Desember
Publisher : CV. Information Technology Training Center - Indonesia (ITTC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jsit.v3i2.982

Bermula sejak COVID19 maka hampir setiap orang di seluruh dunia menggunakan internet bahkan hingga tahap yang mencemaskan yaitu kecanduan internet. Beberapa penelitian melaporkan bahwa tingkat kecanduan terhadap penggunaan jaringan internet semakin tinggi walaupun COVID19 telah reda. Remaja belum mampu memilih aktivitas sambungan internet yang bermanfaat dan mereka lebih mudah mengalami pengaruh buruk lingkungan pergaulan. Untuk mengatasi hal tersebut mereka perlu dukungan dari para psikolog sehingga dapat mencegah dan mendiagnosis dini sebelum mereka menjadi penderita kecanduan internet berat. Namun disisi lain, jumlah psikolog yang dapat membantu masih sangat terbatas terutama di kota-kota kecil. Selain itu faktor ekonomi dan keterbatasan waktu orangtua dalam mendapingi anaknya mengunjugi psikolog menjadi penghambat utama. Oleh karena itu perlu ditemukan solusi yang dapat mengatasi keterbatasan-keterbatasan dan penghambat remaja dalam mendapatkan pelayanan dari seorang psikolog. Salah satu solusi dari permasalahan tersebut adalah membangun sebuah sistem pakar yang dapat bekerja sebagai seorang psikolog. Tujuan penelitian ini adalah untuk membangun sebuah aplikasi sistem pakar untuk melakukan diagnosis kecanduan internet dengan menggunakan metode runut mundur. Tingkat kecanduan internet dikategorikan dalam rendah, sedang dan tinggi. Pengujian sistem dilakukan dengan menggunakan pengujian black box yang memungkinkan pakar memperoleh kumpulan kondisi keluaran yang akan mengerjakan seluruh keperluan fungsional program. Pengujian ini menunjukkan pemasukan data keluaran telah berjalan sebagaimana yang diharapkan.

SISTEM CERDAS PENDIAGNOSIS KECANDUAN INTERNET YANG MENGGUNAKAN SISTEM PAKAR RUNUT MUNDUR Iksan, Nur; Yani, Achmad; Manaf, Abdi; Ismail; Panessai, Ismail Yusuf
Jurnal Teknologi dan Vokasi Vol 1 No 2 (2023): Jurnal Teknologi dan Vokasi
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtv.2023.1.2.89-102

Starting with COVID19, almost everyone around the world uses the internet, even to the worrying stage, namely internet addiction. Several studies report that the level of addiction to using the internet network is getting higher even though COVID19 has subsided. Teenagers have not been able to choose useful internet connection activities and they are more prone to experiencing bad influences from the social environment. To overcome this they need support from psychologists so they can prevent and diagnose early before they become sufferers of severe internet addiction. But on the other hand, the number of psychologists who can help is still very limited, especially in small towns. In addition, economic factors and limited time for parents to accompany their children to visit psychologists are the main obstacles. Therefore it is necessary to find a solution that can overcome the limitations and barriers to adolescents in obtaining services from a psychologist. One solution to this problem is to build an expert system that can work as a psychologist. The purpose of this research is to build an expert system application for diagnosing internet addiction using the backward chaining method. Internet addiction level is categorized in low, medium and high. System testing is carried out using black box testing which allows experts to obtain a set of output conditions that will carry out all functional requirements of the program. This test shows that the inout and output data has been running as expected.

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