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All Journal Jurnal Teknologi dan Manajemen Informatika Jurnal Simantec DINAMIKA DOTCOM INFORMAL: Informatics Journal Proceeding SENDI_U SMATIKA Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal Informatika dan Multimedia JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) SENTIA 2016 Jurnal Teknologi Informasi dan Terapan (J-TIT) Jurnal Jaringan Telekomunikasi International Conference on Industrial Revolution for Polytechnic Education Asian Journal Science and Engineering Seminar Nasional Ilmu Terapan Pangripta Jurnal Ilmiah Kajian Perencanaan Pembangunan Jurnal Informatika Polinema (JIP) Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research Jurnal Pengabdian Kepada Masyarakat Journal of Evrimata: Engineering and Physics
Yan Watequlis Syaifudin
Politeknik Negeri Malang
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering 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 Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Social Sciences Other

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Journal : Journal of Evrimata: Engineering and Physics

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An Implementation of Early Warning System for Air Condition Using IoT and Instant Messaging Rahmadani, Alfiandi Aulia; Setiawan, Budhy; Syaifudin, Yan Watequlis; Funabiki, Nobuo; Siradjuddin, Indrazno; Fatmawati, Triana
Journal of Evrímata: Engineering and Physics Vol. 02 No. 02, 2024
Publisher : PT. ELSHAD TECHNOLOGY INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70822/journalofevrmata.v2i02.61

Abstract

Air pollution poses a significant threat to human health and environmental sustainability, exacerbated by anthropogenic activities such as industrial emissions, vehicle exhaust, and fossil fuel combustion. Major pollutants include carbon monoxide (CO), nitrogen dioxide (NO2), hydrocarbons (HC), sulfur dioxide (SO2), ozone (O3), particulate matter (PM2.5), particulate matter (PM10), and etc. In this study, an Early Warning System (EWS) was developed integrating sensors, microcontroller, IEEE 802.11 network, web interface monitoring, and Instant Messaging. The system uses the CART algorithm to analyze the data, with sensors that detect CO, NO2, and HC. The evaluation of the system demonstrated its effectiveness, with recorded pollutant concentrations of 1.401 ppm for CO, 0.639 ppm for NO2, and 0.860 ppm for HC, and identified correlations between these pollutants. The EWS proved capable of providing timely alerts, ensuring continuous monitoring and management of indoor air quality, and contributing to public health and environmental protection.
CLUSTERIZATION of MSMe and WAREHOUSE LOCATIONS for EFFICIENCY of COURIER PLACEMENT Nadhila, Annisa Aulia; Ariyanto, Yuri; Syaifudin, Yan Watequlis
Journal of Evrímata: Engineering and Physics Vol. 02 No. 02, 2024
Publisher : PT. ELSHAD TECHNOLOGY INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70822/journalofevrmata.v2i02.66

Abstract

The increasing number of MSMes and the high demand for fast delivery present challenges for logistics companies in managing efficient routes and courier placement. Without proper clustering, warehouse placement and picking points are often uncoordinated, causing delivery delays and increased operational costs. This research aims to group MSMe and warehouse locations based on distance, delivery volume and demand patterns to find optimal zones for courier placement, thereby increasing the efficiency of delivery routes, reducing operational time and costs, and improving the quality of delivery services. The courier clustering management application uses the Scrum method, with database design based on class diagrams and functional processes through use cases and activity diagrams. Admin maps delivery areas based on sub-districts and determines fixed prices for each regional cluster. The process of optimizing the clustering of MSMe locations in City Geographic data for new shipments is retrieved via the Google Maps API, sending the complete address to the Geocodes API endpoint. The clustering process uses the K-Means method to group MSMe locations based on geographic proximity. The test results show the efficiency of logistics delivery as well as cheaper and fairer rates thanks to the application of flat rates for all courier service users, both for long and short distances.
Co-Authors Abdullah, Zaed Achmad, Ence Adevian Fairuz Pratama Al Masyriqi, Syifa’ul Ikrom Syifa’ul Ikrom Ardyningrum, Nabilah Argyanti Arida Ferti Syafiandini Ariyanto, Yuri Astiningrum, Mungki Atiqah Nurul Asri Auliya B, Muhammad Ayu, Tiara Imas Bariroh Isriya Nur Aini Budi Harijanto, Budi Devany Christabella Wijaya Dodo Zulkarnain DWI PUSPITASARI Dwi Puspitasari Erfan Rohadi Excellina Excellina Excellina, Excellina Fadelis Sukya, Fadelis Fahrur R, Imam Fanani, Muhamad Zainul Fatmawati, Triana Hafizh Rizqi Prisadana Hani’ah, Mamluatul Hudriyah Mundzir, Hudriyah Ika Oktavia Pristisari Imam Fahrur Rozi Irawan, Rizki Andi Kyaw, Htoo Htoo Sandy Mochamad Panggih Nirwanto Mufidah, Nursita Al Muhamad Aslam Amzazka, Muhamad Aslam Muhamad Zainul Fanani Muhammad Ashari Fajar Nugroho Muhammad Sofiul Fuad Ruslan Mustika Mentari Nabilah Argyanti Ardyningrum Nabilah Argyanti Ardyningrum Nadhila, Annisa Aulia Nadia Layra Aziza Nirwanto, Mochamad Panggih Nobuo Funabiki Nobuo Funabiki, Nobuo Nofyandi, Resqy Dwi Nur Aini, Bariroh Isriya Nursita Al Mufidah Pratama, Muhammad Irgy Prisadana, Hafizh Rizqi Pristisari, Ika Oktavia Priyanto, Febryan Senja Rahmad, Cahya Rahmadani, Alfiandi Aulia Resqy Dwi Nofyandi Rizki Andi Irawan Rosa Andrie Asmara Rudy Ariyanto Rudy Ariyanto Saputra, Pramana Yoga Satria, Banni Setiadi, Chandrasena Setiawan, Budhy Siradjuddin, Indrazno Siti Muzdalifatus Sa’adah Syafiandini, Arida Ferti Tiara Imas Ayu Tita Wijayanti Toga Aldila Cinderatama Utama, Cahyarizki Adi Yoppy Yunhasnawa Yunhasnawa, Yoppy Yuri Arianto Yuri Ariyanto Yuri Ariyanto Yuri Ariyanto Zulkarnain, Dodo