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All Journal International Journal of Electrical and Computer Engineering Information Technology and Telematics Dinamik Jurnal Ilmiah Dinamika Teknik JURNAL SISTEM INFORMASI BISNIS Kompak : Jurnal Ilmiah Komputerisasi Akuntansi E-Bisnis : Jurnal Ilmiah Ekonomi dan Bisnis Elkom: Jurnal Elektronika dan Komputer Students' Journal of Engineering Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Scientific Journal of Informatics Proceeding SENDI_U Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal Informatika Upgris Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) CogITo Smart Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL INSTEK (Informatika Sains dan Teknologi) Jurnal Teknoinfo Jurnal Teknik Informatika UNIKA Santo Thomas Jurnal Teknologi Sistem Informasi dan Aplikasi IKRA-ITH ABDIMAS JURIKOM (Jurnal Riset Komputer) Jurnal Tekno Kompak Building of Informatics, Technology and Science To Maega: Jurnal Pengabdian Masyarakat Journal of Computer System and Informatics (JoSYC) Dinamika Informatika: Jurnal Ilmiah Teknologi Informasi MEANS (Media Informasi Analisa dan Sistem) Jurnal Teknologi Informasi dan Komunikasi Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Industrika : Jurnal Ilmiah Teknik Industri Transformasi Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Pengabdian Masyarakat Intimas (Jurnal INTIMAS): Inovasi Teknologi Informasi Dan Komputer Untuk Masyarakat Servis : Jurnal Pengabdian dan Layanan kepada Masyarakat Andan Jejama: Indonesian Journal Of Community Engagement
Imam Husni Al Amin
Universitas Stikubank, Fakultas Teknologi Informasi Dan Industri
Religion Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Public Health Other

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Journal : JOURNAL OF APPLIED INFORMATICS AND COMPUTING

 1 
Best Products with TOPSIS Method and Sales Forecasting with Weighted Moving Average Mohamad Helmi Ilman Fahmi; Imam Husni Al Amin
Journal of Applied Informatics and Computing Vol 4 No 2 (2020): Desember 2020
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v4i2.2188

Abstract

In a company engaged in the sale and purchase of products can not be separated from the calculation of profit or loss that is the main factor for the company's progress. However, in certain companies such as minimarkets and convenience stores, it is not easy to record company profits and losses. This of course requires a system that can help companies in determining sales strategies or at least a picture of sales in the future. Things that can be done to help these problems is to create a system that forecast sales or forecasting. One method that can be used to make sales forecasts is the wighted moving average method. However, due to the large number of products sold in minimarkets with different values, of course there must be other methods that can filter products so that forecasting can be more effective. One way to handle this is to use a product ranking system with the Techinique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The topsis method was chosen because the calculation is very detailed and structured, so that it can maximize the ranking value. By combining sales forecasts and product ranking is expected to create a system that can help companies in determining sales strategies in the future. Later this system is combined with the point of sale system to get accurate sales results. This system is designed using PHP and Javascript programming languages, then the database is stored in MySQL.
Expert System for Diagnosing Newborn Babies Disease Using the Sorgenfrei Similarity Method Adri Triandhika Septyanto; Imam Husni Al Amin
Journal of Applied Informatics and Computing Vol 4 No 2 (2020): Desember 2020
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v4i2.2192

Abstract

Newborn neonates who are 0-28 days old. At that time the baby has a physical condition that is very weak and helpless to the surrounding environment. Newborns need special handling different from babies at the age of 1 month also above. Diagnosis also treatment is quickly required by the midwife in an emergency. Without there are still many midwives who have not been able to handle it properly, causing the baby's condition to become worse. To get fast and accurate handling information, we need a system in the form of an expert system. Expert systems can diagnose newborn diseases using the Sorgenfrei similarity algorithm. The system can display information about the type of disease, symptoms, solutions, and the percentage of similarity from the results of consulting the symptoms input. The results of testing the system with the consultation of the symptoms included got the highest percentage of similarity results 53.33%. The percentage of similarity results below 20% will be entered into the revised table which will later be corrected by experts. This expert system is built based on a website that can be accessed by all midwives who need handling information
Implementasi Metode YOLO-V5 pada Sistem Deteksi Social Distancing Berbasis Real-Time Imam Husni Al Amin; Falah Hikamudin Arby
Journal of Applied Informatics and Computing Vol 6 No 1 (2022): July 2022
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v6i1.3484

Abstract

The world is in an uproar with the Covid-19 pandemic, which has had an impact on society. Various efforts have been made by governments around the world to suppress the spread of the Covid-19 virus. One of the health protocols that have been appealed by the government is social distancing or social restrictions, namely limiting interactions between human beings as long as 1-2 meters. But in reality, there are still many people who ignore social distancing policies. The application of a social distancing detection system can be a solution to this problem. This system aims to detect people who are violating health protocols in the form of social distancing and then issue a voice warning to keep their distance from others to avoid the spread of the Covid-19 virus by using the YOLO-v5 method which is the latest version of YOLO (You Only Look Once). . Processing speed of YOLO-v5 has increased drastically with the fastest speed reaching 140 Frames Per Second (FPS) and has a small size, even having a size of 90% compared to the previous version. The accuracy of human detection using YOLO-v5 from this system reaches 83.28% and the accuracy of social distancing detection reaches 90.8%. From the results of the percentage analysis that has been carried out, it can be concluded that the system that has been created can function well for social distancing detection, but it is difficult to detect if humans are too far from the camera.
Metode Naive Bayes dan SMART untuk Menentukan Perkembangan dan Status Balita Dewi, Qomariah Kumala; Al Amin, Imam Husni
Journal of Applied Informatics and Computing Vol. 5 No. 1 (2021): July 2021
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v5i1.3105

Abstract

Integrated Service Post (Posyandu) is a forum used for health services carried out from and for the community under the guidance of health workers. Currently, toddlers need to be given more attention to monitor their growth and development. The number of children under five who are monitored by posyandu cadres and puskesmas officers will certainly take a lot of time and require maximum accuracy in classifying the status of each toddler. The purpose of the design of this decision support system is to assist posyandu cadres in determining the developmental decisions of active and inactive toddlers. This research is very important to assist posyandu cadres in providing proper analysis of the developmental status of each toddler. The results of this study are an application that can be used to determine the criteria for growth and development of toddlers using the Naive Bayes and SMART methods so that they can help posyandu cadres in determining the development of toddler status.
Co-Authors A.P, Arga Alundra Achmad, Fariz Adi Kristanto Adri Triandhika Septyanto Ahlak, Muhammad Lutfi Mahasinul Ansyahry, Bramantyo Ridho Antoni Yohanes Arningtya, Luthfi Arningtya Aulia Rahman Fahindra Awan Aprilino BACHTIAR YUSUF Bagas Santoso Budi Hartono Budi Hartono Budi Hartono budi hartono Budi Hartono Cahyo, Soliqin Nur DEA ARMAWATI PUTRI Deva Ega Marinda Dewi Handayani Untari Ningsih Dewi, Qomariah Kumala Dimas Wahyu Dwi Budi Santoso Edy Winarno Eka Ardhianto Eko Nur Wahyudi Endang Lestariningsih Fajriansyah Noor Hidayat Falah Hikamudin Arby FARIZ AKBAR SHALAHHUDDIN Fath, Tata Redha Al Fatkhul Amin Fatkhul Amin Felix Andreas Sutanto Firman Ardiansyah E.A Firman Ardiansyah Ekoanindiyo Gatot Setiawan Gustiyargani, Alfian Hidayat, Fajriansyah Noor Joko Handoyo Kristanto Kristanto Kristianto, Teguh Kunthi Muslichah Ardi Laksono, Endy Suryo Marahendra,, Wawan Dedi Marinda, Deva Ega Mohamad Helmi Ilman Fahmi Muhammad Lutfi Mahasinul Akhlak Muji Sukur MUNANDAR, AHMAD KHARIS Nafiah, Khittatun NUR HASAN ., NUR HASAN Pandji Iman Syach Putra Prajanto Wahyu Adi Pratama, Fandi Pratama, Fandi Purwaningtyas Purwaningtyas Pusaka, Semerdanta Radyanto, Mohammad Riza Raiz Hutama, Tidar Rina Candra Noor Santi Santoso, Bagas Setyawan Wibisono Sofin Rendian Novianto Sofin Rendian Novianto Sri Eniyati Sri Hartati Sri Rahajeng, Dini Estu Taufiq Dwi Cahyono Thahir, Sirya Sabina Bin TRIYAS NIKO SAPUTRA Veronica Lusiana Veronica Lusiana Waskito, Punto Wiwien Hadikurniawati