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All Journal Jurnal Informatika Global SKANIKA: Sistem Komputer dan Teknik Informatika Prosiding University Research Colloquium
Maulana, Rizky Akbar
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Humanities Computer Science & IT Control & Systems Engineering Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology

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RANCANG BANGUN PEMILAH SAMPAH ORGANIK DAN NON ORGANIK BERBASIS MOBILE DI MEDANG LESTARI Maulana, Rizky Akbar; Windarto, Windarto
SKANIKA: Sistem Komputer dan Teknik Informatika Vol 7 No 1 (2024): Jurnal SKANIKA Januari 2024
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/skanika.v7i1.3147

Abstract

The trash bins in RT 01/08 currently have only one container, causing organic and non-organic waste to mix. This situation has led to environmental issues in RT 01/08, making the surroundings unpleasant and emitting a strong odour due to the accumulation of mixed waste. The negative impacts of this mixed waste, we can be reduced by separating the trash according to its respective categories when disposing of it. With the advancements in the era of globalization and information technology, especially in the field of microcontrollers and sensors, there have been significant improvements in human life. The emergence of various new technologies can aid human activities and also have a positive impact on environmental cleanliness. The purpose of this research is to develop an automated trash bin that can sort organic and non-organic waste based on mobile technology. By doing so, it can reduce the mixing of different types of waste in the environment, and users can control the opening and closing of the trash bin. The prototyping method tested has proven to work well as desired. This prototyping method involves designing a system and device that can automatically sort different types of waste, producing separate outputs for organic and non-organic waste. Ultrasonic sensors are used to detect the proximity of users, while capacitive and infrared proximity sensors are used to differentiate between organic and non-organic waste. The testing results of the automated trash bin showed that the ultrasonic sensor effectively detects the proximity of users, enabling the trash bin lid to open and close automatically. In distinguishing organic from non-organic waste, the capacitive proximity sensor can detect organic waste such as vegetable scraps, fruit peels, and leaves. Meanwhile, the infrared proximity sensor can detect non- organic waste such as plastic bottles and foot wrappers. However, both proximity sensors experienced a delay in detecting waste, taking approximately 1-3 seconds. Furthermore, the testing results also had a positive impact on the community, raising awareness among people about the importance of disposing of waste according to its respective categories.
Public Health Campaign Program as a Preventive Measure for Stunting in Donorejo Village, Secang District, Magelang Regency Dwihantoro, Prihatin; Amirudin, Ahmad; Maulana, Rizky Akbar; Indrastoto, Bagaskoro Kusumo; Rafsanjani, Sherlya; Maharani, Devi
Prosiding University Research Colloquium Proceeding of The 17th University Research Colloquium 2023: Bidang MIPA dan Kesehatan
Publisher : Konsorsium Lembaga Penelitian dan Pengabdian kepada Masyarakat Perguruan Tinggi Muhammadiyah 'Aisyiyah (PTMA) Koordinator Wilayah Jawa Tengah - DIY

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Abstract

Donorejo is a village located in Secang sub-district, Magelang district. During the observation and interview process with the village, there were 12 children with stunting problems. One of the stunting factors in Donorejo Village is the lack of parental knowledge about nutrition. Therefore, the PPMT activity program implemented includes a nutrition improvement program for stunting children. In addition, the training program on how to make additional food for stunted children The mentoring program is also carried out in providing play therapy for stunted children. Partners in running this program include the village government, youth organization, PKK, cadres, and the local community. The purpose of this activity is to increase knowledge and competence to Donorejo Village community groups related to stunting. With this PPMT program, it is expected to be a preventive effort to prevent and reduce stunting problems in Donorejo village.
Clustering Daerah Rawan Bencana Alam Di Indonesia Berdasarkan Provinsi Dengan Metode K-Means Baldah, Azizah; Duarisah, After Valent; Maulana, Rizky Akbar
Jurnal Ilmiah Informatika Global Vol. 14 No. 2
Publisher : UNIVERSITAS INDO GLOBAL MANDIRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36982/jiig.v14i2.3186

Abstract

Indonesia is a country located in a strategic geological position and is at the confluence of three world plates. This position causes Indonesia to become a country frequently hit by natural disasters such as earthquakes, landslides and other natural disasters. Based on data obtained from the Regional Disaster Management Agency (BPBD), from year to year the number of natural disasters always increases. The increase in the occurrence of natural disasters has led to the need for further research to find out how vulnerable areas are in Indonesia and can later reduce the risks posed when natural disasters occur. Researchers will use the K-Means Clustering method to classify natural disaster areas based on their level of vulnerability to natural disasters. Clustering is a process for grouping data into several clusters or groups. K-Means is a method for grouping non-hierarchical data (partitions) which can divide data into two or more groups. The source of this dataset comes from the Central Bureau of Statistics (BPS) and consists of 12 columns and the data used are landslides and no natural disasters. Then a search for the optimal K value was carried out using the elbow method and Silhouette Analysis which produced 2 clusters namely cluster 0 and cluster 1. The results of the clustering indicated that cluster 1 was classified as a disaster-prone area in Indonesia including Aceh, North Sumatra, West Java, Central Java, East Java.
Co-Authors Ahmad Amirudin, Ahmad Baldah, Azizah Duarisah, After Valent Dwihantoro, Prihatin Indrastoto, Bagaskoro Kusumo Maharani, Devi Rafsanjani, Sherlya Windarto, Windarto