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Air Quality Monitoring System in Semarang City Based on IoT Mashuri, Agus Alwi; Zulfa, Nely
Rekayasa : Jurnal Penerapan Teknologi dan Pembelajaran Vol 18, No 2 (2020): December 2020
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/rekayasa.v18i2.27804

Air is one of the most important elements of life for living things in the world. For humans, the air is an element that is very concerned because it is related to health. In the city of Semarang, the Air Pollution Standard Index (ISPU) at the KLHK station (Ministry of Life and Environment) Semarang City recorded a PM 10 of 7 while the air quality in Jakarta was monitored by the Air Quality Index (AQI) of 67 with parameters in the form of very small pollutant particles with a diameter less than 2.5 micrometres (PM 2.5). The Indonesian government has made efforts to reduce the air pollution index, such as reducing the number of vehicles with odd-even systems, users of environmentally friendly transportation modes such as BRT and Trans Central Java and clearing green lands in the middle of the city. The purpose of this research is how we make a tool that can determine the quality of the air around us and can be carried (portable) anywhere easily. Following the 4.0 industrial revolution that everything has been integrated with the Internet of Things (IoT) technology where the community can find out the air condition in real-time. In this research, later using the prototype method as a test. The main components are sensors consisting of MQ-6 (CO2 and smoke), MQ-7 (CO, LPG, CH4), MQ135 (Butane, AirQuality), and DHT-11 (Humidity, temperature) From the research that has been done where the air quality in urban areas has a low air quality index by measuring using a prototype consisting of a gas sensor and Arduino microntroller, which has been made to produce an average CO2 of 25 ppm, CO 2330 which has exceeded the threshold, while NH3 1.23 and C4H10 1120 are still below the threshold. These values are influenced by pollutants generated by transportation such as motorbikes, cars, and land transportation.

Air Quality Monitoring System in Semarang City Based on IoT Mashuri, Agus Alwi; Zulfa, Nely
Rekayasa : Jurnal Penerapan Teknologi dan Pembelajaran Vol 18, No 2 (2020): December 2020
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/rekayasa.v18i2.27804

Air is one of the most important elements of life for living things in the world. For humans, the air is an element that is very concerned because it is related to health. In the city of Semarang, the Air Pollution Standard Index (ISPU) at the KLHK station (Ministry of Life and Environment) Semarang City recorded a PM 10 of 7 while the air quality in Jakarta was monitored by the Air Quality Index (AQI) of 67 with parameters in the form of very small pollutant particles with a diameter less than 2.5 micrometres (PM 2.5). The Indonesian government has made efforts to reduce the air pollution index, such as reducing the number of vehicles with odd-even systems, users of environmentally friendly transportation modes such as BRT and Trans Central Java and clearing green lands in the middle of the city. The purpose of this research is how we make a tool that can determine the quality of the air around us and can be carried (portable) anywhere easily. Following the 4.0 industrial revolution that everything has been integrated with the Internet of Things (IoT) technology where the community can find out the air condition in real-time. In this research, later using the prototype method as a test. The main components are sensors consisting of MQ-6 (CO2 and smoke), MQ-7 (CO, LPG, CH4), MQ135 (Butane, AirQuality), and DHT-11 (Humidity, temperature) From the research that has been done where the air quality in urban areas has a low air quality index by measuring using a prototype consisting of a gas sensor and Arduino microntroller, which has been made to produce an average CO2 of 25 ppm, CO 2330 which has exceeded the threshold, while NH3 1.23 and C4H10 1120 are still below the threshold. These values are influenced by pollutants generated by transportation such as motorbikes, cars, and land transportation.

Pemanfaatan Metode TOPSIS dalam Sistem Pendukung Keputusan untuk Menilai Kualifikasi Penerima Bantuan Langsung Tunai Dana Desa Lutfi, Septia; Winarsih, Winarsih; Purwanto, Agus; Solikhin, Solikhin; Riyanto, Eko; Mashuri, Agus Alwi
Jurnal Informatika UPGRIS Vol 10, No 2: Desember 2024
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v10i2.21083

Penelitian ini mengkaji bagaimana masyarakat Desa Rakitan yang terkena wabah COVID-19 terbantu dengan program Bantuan Langsung Tunai Dana Desa. Keberadaan sistem saat ini tidak terotomatisasi, sehingga menambah kompleksitas dan menimbulkan asumsi subjektivitas dalam proses bantuan. Untuk itu dibutuhkan suatu sistem yang terkomputerisasi agar bantuan dapat lebih cepat dan tepat sasaran. Untuk membantu masyarakat menentukan apakah mereka berhak menerima bantuan, karya ini mengusulkan aplikasi pendukung keputusan yang menggunakan teknik TOPSIS untuk memberikan rekomendasi kelayakan bagi warga penerima bantuan berdasarkan penilaian kriteria-kriteria seperti pekerjaan, pendapatan, jumlah tanggungan keluarga, usia, status perkawinan, dan penderita penyakit kronis. Semua langkah pengembangan dilakukan secara sequensial linier yang meliputi; analisis, perancangan, kode, dan pengujian. Berdasarkan temuan-temuan yang ada, pilihan yang optimal adalah pilihan yang meminimalkan kesenjangan antara jawaban aktual dan jawaban positif yang ideal. Orang pertama memperoleh nilai prefernsi (0.95236), kedua (0.89631), ketiga (0.84660), keempat (0.79974), kelima (0.77292), dan keenam (0.76553). Keenam orang tersebut yang ditetapkan layak mendapat bantuan dari dua puluh tiga orang yang terdaftar. Dengan demikian, aplikasi penunjang putusan ini dapat meringankan aparat desa ketika merekomendasikan kelayakan masyarakat pemeroleh Bantuan Langsung Tunai Dana Desa terdampak COVID-19.

Perbandingan Tingkat Akurasi Prediksi Peningkatan Kasus Positif Covid-19 antara Metode Neural Network Backpropagation dan Long Short Term Memory (LSTM) Mashuri, Agus Alwi; Riyanto, Eko
Jurnal Informatika UPGRIS Vol 8, No 2: Desember 2022
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v8i2.13513

The COVID-19 (Coronavirus) pandemic is likely to be one of the most serious globalproblems in the past year. Countries do not have similar experiences with the spreadof the virus and its effects from various fields. Estimating the number of previous casesof COVID-19 can help make decisions in the form of actions and plans to prevent thevirus. This study aims to provide a forecasting model that predicts confirmed COVID-19 cases in the city of Semarang. This study applies a machine learning algorithm,namely the Recurrent Neural Network (RNN) to predict COVID-19 cases in the city ofSemarang. The process of fine-tuning each model is described in this study andnumerical comparisons between the two models are concluded using differentevaluation measures; mean sequence error (MSE).

Sistem Monitoring dan Pendukung Keputusan Kualitas Udara di Kota Semarang Menggunakan IoT Mashuri, Agus Alwi; Zulfa, Nely
Jurnal Informatika UPGRIS Vol 8, No 1: Juni 2022
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/jiu.v8i1.7532

Air is one of the most important elements of life for living things in the world. For humans, the air is an element that is very concerned because it is related to health. In Jakarta, the Air Pollution Standard Index (ISPU) is ranked second as the capital city of a country with poor air quality. Air quality in Jakarta is monitored by an Air Quality Index (AQI) of 160 with parameters in the form of very small pollutant particles with a diameter of fewer than 2.8 micrometres (PM 2.8). The Indonesian government has made efforts to reduce the air pollution index, such as reducing the number of vehicles with odd-even systems, users of environmentally friendly transportation modes such as MRT, LRT, Trans and clearing green lands in the city centre.The purpose of this research is how we make a tool that can determine the quality of the air around us and can be carried (portable) anywhere easily. By the 4.0 industrial revolution that everything has been integrated with the Internet of Things (IoT) technology where the public can find out the air condition in real-time. In this research, later using the prototype method as a test. The main components are sensors consisting of MQ-6 (CO2 and smoke), MQ-7 (CO, LPG, CH4), MQ135 (Butane, AirQuality), and DHT-11 (Humidity, temperature)From the research that has been done where the air quality in urban areas has a low air quality index by measuring it using a prototype consisting of a gas sensor and Arduino microcontroller which has been made to produce an average CO2 of 25 ppm, CO 2330 which has exceeded the threshold, while NH3 1.23 and C4H10 1120 are still below the threshold. These values are influenced by pollutants generated by transportation such as motorbikes, cars, and land transportation

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