Claim Missing Document
Check
Articles

Found 4 Documents
Search

Waste Management Based on Smart City Management by Using Internet of Things (IoT) and Artificial Intelligence (AI) Technology T Fidowaty; L Wulantika; Agus Mulyana
ABDIMAS: Jurnal Pengabdian Masyarakat Vol. 5 No. 1 (2022): ABDIMAS UMTAS: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM Universitas Muhammadiyah Tasikmalaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (979.436 KB) | DOI: 10.35568/abdimas.v5i1.1763

Abstract

The purpose of this Community Service activity is to assist the waste bank to record data in making daily reports of incoming and outgoing waste data, making reports and financial records of transaction results. Assist UPTD, TPA Management, and the Environment Agency, in receiving and managing incoming waste. Knowing the traffic of trucks entering the landfill, providing information about the status of the landfill and providing automatic records for the landfill manager. The method used in this community service activity is the lecture, discussion and direct simulation method. The results of this community service activity make it easy for waste bank officers to record and make daily reports of incoming and outgoing waste data, make reports and financial records of transaction results. Assist UPTD, TPA Management, and the Environment Agency, in receiving and managing incoming waste. Knowing the traffic of trucks entering the landfill, as well as knowing about an integrated system based on smart city management, by applying internet of things (IoT) and artificial intelligence (AI) technology. The smooth implementation of this community service activity cannot be separated from the use of complete communication media, the material delivered is appropriate to the needs of the participants, with this Community Service program, it can be a reference and example for partners who have not collaborated. Besides, this Community Service activity can change the community's negative paradigm towards waste. Based on this activity, the environmental service has the basis to provide policies, budgets and supervision regarding waste management. Besides that, with this community service activity, it changes the paradigm about the importance of waste management
Sistem Absensi Menggunakan Pengenalan Wajah (Face Recognition) Berbasis Web LAN Sugeng Sugeng; Agus Mulyana
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 11, No 1 (2022): MARET
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v11i1.1371

Abstract

Absensi kehadiran dosen dan karyawan merupakan faktor penting bagi sebuah perguruan tinggi atau instansi lainnya untuk mencapai tujuan, hal ini berkaitan pada kedisiplinan dan berdampak pada kinerja dari masing-masing dosen dan karyawan. Oleh karena itu, perlu adanya pendataan khusus untuk mencatat Absensi kehadiran dan ketidakhadiran agar aktifitas kerja dapat tercatat secara realtime dan baik. Dosen dan karyawan diharuskan untuk melakukan absen setiap hari kerja. Masalah yang kini terjadi yaitu sulitnya melakukan Absensi karena tidak praktis dan harus mengantri yang dapat menyebabkan keterlambatan dalam melakukan absen sehingga dianggap telat dan juga dikarenakan pandemi Covid-19 perlu sebuah sistem Absensi yang cepat, mudah dan dapat diakses secara real-time guna melakukan absen tetapi tidak perlu kontak fisik. Maka dari itu penulis berinisiatif dan mempunyai solusi yaitu dengan membangun sebuah sistem Absensi berbasis WEB LAN dengan menggunakan  Pengenalan wajah (Face Recognition). Untuk merancang sistem ini digunakan sebuah pustaka face_recognitong dari dlib yang memiliki akurasi pengenalan wajah 98.3%. Sistem absensi dibuat berbasis Web LAN sehingga hanya dapat diakses dari area sekitar tempat bekerja saja. Sistem diuji dengan 20 wajah orang yang didaftarkan kedalam system absensi, kemudian  hasilnya seluruh data dapat dikenali dengan baik oleh system saat pengujian absensi dilakukan
PENGEMBANGAN PERANGKAT KERAS SISTEM MITIGASI DAN PEMANTAUAN BANJIR TERPADU MENGGUNAKAN SENSOR FUSSION Dicky Kurniawan; Agus Mulyana
INFOKOM (Informatika & Komputer) Vol 8 No 2 (2020): JURNAL INFOKOM DESEMBER 2020
Publisher : POLITEKNIK PIKSI GANESHA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (652.834 KB) | DOI: 10.56689/infokom.v8i2.446

Abstract

Flooding becomes a problem when the rainy season arrives. The impact caused not only by a pool of water, damage to infrastructure, and interrupted access to land transportation, to fatalities caused by electric shocks, flood currents, even post-flood diseases. With the impact caused by flooding, we need a device for monitoring the level of water leveling the river and can work optimally in every weather condition, environmental conditions. So the research was made with a field specification that is able to answer all the problems that occur with the previous tool, namely the Design of Android-Based Integrated Flood Monitoring System and Website with the HTTP Request communication protocol. This research is a device development by applying Fussion Sensor which combines several sensors such as ultrasonic sensors, BME280 sensors and rain sensors with the incorporation of these sensors with the aim of increasing accuracy in reading data by comparing water level data with weather conditions with reference to sensor comparison data from BMKG, BPS Bandung as data validation. Application of the MQTT communication protocol to support data transmission from the Fussion Sensor. With this renewal research, it is hoped that it will be beneficial for the people and government in dealing with flood preparedness, especially in the city of Bandung.
Strategi Pengembangan Bisnis Agroteknologi Agri Edu Pariwisata Pertanian Kabupaten Sumedang Dicky Kurniawan; Eddy Soeryanto Soegoto; Rahma Wahdiniwaty; Agus Mulyana
Jurnal Manajemen, Bisnis dan Kewirausahaan Vol. 6 No. 1 (2026): April: Jurnal Manajemen, Bisnis dan Kewirausahaan (JUMBIKU)
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jumbiku.v6i1.6611

Abstract

Indonesia, as an agricultural country ranked 51st out of 78 countries in the 2021 Food Sustainability Index (FSI) and with a low performance in the Sustainable Agriculture category (ranked 71st), faces serious challenges in global food security due to the lack of accurate agricultural land data. This problem hinders efforts to achieve the Sustainable Development Goals (SDGs), particularly SDG 2 on zero hunger for food security and nutrition, and SDG 12 on sustainable consumption and production in the efficient use of resources. To overcome this, the Precision Agriculture Ecosystem Map has emerged as an innovative solution, integrating IoT devices, Edge Computing, and Artificial Intelligence (AI) for GIS-based plantation mapping. This system provides farmers with accurate information on land characteristics, crop requirements, planting season determination, and recommendations for fertilization and irrigation, and even predicts the risk of crop failure. This innovation is expected to increase agricultural productivity in a sustainable manner, optimize resource use, reduce waste, and significantly contribute to national food security and farmer welfare.