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All Journal Journal of Environmental Science and Sustainable Development SinarFe7 Journal of Computer Science Contributions (Jucosco)
Muhammad Muhsin, Muhammad
Balai Penelitian Bioteknologi Tanaman Pangan, Bogor
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Environmental Science

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A QUANTITATIVE DYNAMIC MODEL FOR MANAGING LITTER ABUNDANCE IN THE TRASH TRAP OF AN URBAN LAKE IN INDONESIA Muhsin, Muhammad; Soeryantono, Herr
Journal of Environmental Science and Sustainable Development Vol. 2, No. 1
Publisher : UI Scholars Hub

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Abstract

In Indonesia, urban litter is threatening the role of urban lakes as a part of green infrastructures in cities. To overcome this issue, Kenanga Lake—an urban lake with a surface area of 2.8 ha located within the Universitas Indonesia Campus—has been equipped with a trash trap unit on its inlet. However, the large amount of litter and its unpredictable pattern have made trash trap management difficult. The previous study illustrated the conceptual diagram of this problem. As a continuation in terms of looking further for sustainable solutions to this problem, this study aimed to establish its quantitative dynamic model, which is expressed as the mathematical equations of the interrelations among elements. We developed the model using the system dynamics modeling method with the Powersim Studio 10 software and validated it using the Average Mean Error (AME) method. To help calibrate the model, several supporting methods, i.e., field observation, load–weight analysis continuous sampling, and Theory of Planned Behavior (TPB)-based questionnaire survey, were used. Results showed that, on a sunny day, the maximum inlet lake litter load is 33 g/m3/h. Meanwhile, if rain falls, the maximum inlet lake litter load increases tenfold and reaches 346 g/m3/h. Then, the survey found that 22% of the citizens living in the location have a strong intention to dump their waste into the waterway. Moreover, the model has been validated, with the AME value of 0.1079 or confidence level of 89.21%. Finally, we conclude that the TPB-based questionnaire survey method can be combined with the system dynamics modeling method to capture the human sociocultural aspect of the system quantitatively. The applied methods can be used to solve the typical litter abundance problem in other urban lakes.
Perangkap Hama Lalat Buah Otomatis Berbasis IoT Pada Jambu Air Menggunakan Sumber Energi Alternatif (PLTS) Kusuma, Alam; Riyanto, Didik; Muhsin, Muhammad
SinarFe7 Vol. 6 No. 1 (2024): SinarFe7-6 2024
Publisher : FORTEI Regional VII Jawa Timur

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Abstract

Jambu air merupakan tanaman hortikultura yang memiliki banyak variasi jenis dan cara pembudidayaan, permasalahan yang dihadapi petani dalam budidaya jambu air adalah serangan hama lalat buah. Lalat buah menyebabkan buah menjadi rusak dan petani mengalami gagal panen, hal ini dikarenkan dalam proses pengendalian serangan lalat buah petani masih memakai cara lama yaitu menggunkan perangkap manual, perangkap manual memerlukan perawatan yang cukup intensif dan berkala. Dari permasalahan tersebut penulis memberikan sebuah inovasi berupa perangkap lalat buah otomatis berbasi IoT dengan memanfaatkan PLTS sebagai sumber energi listrik alternatif dan jaring kawat bertegangan sebagai sistem eksekusi lalat buah, untuk umpan menggunakan atraktan metil eugenol dan menggunakan pemanas untuk membantu penguapan umpan agar dapat mengeluarkan bau sehingga memancing lalat buah untuk masuk ke dalam perangkap. Perangkap ini juga di lengkapi dengan sensor hujan dan sensor gerak PIR sebagai pengaman perangkap, perangkap juga dibekali dengan mikrokontroller NodeMCU ESP8266 sebagai kontrolnya, sehingga perangkap dapat dikendalikan dan dimonitoring melalui perangkat android menggunakan aplikasi blynk. Hasil dari penelitian yang sudah dibuat penggunaan pemanas atraktan dan jaring listrik pada perangkap dapat membasmi hama lalat buah lebih banyak dari pada perangkap manual. Sensor hujan dan sensor PIR bekerja dengan cukup akurat sehingga bisa menjadi pengaman jika terjadi hujan dan pengaman bagi pengguna maupun orang lain agar tidak tersengat jaring listrik pada perangkap, selain itu perangkap juga dapat dikendalikan dan dimonitoring melalui aplikasi blynk. Sistem PLTS pada perangkap mampu menyerap dan mengkonversi sinar matahari menjadi energi listrik dengan tegangan maksimal sebesar 22,3 volt yang digunakan untuk menyuplai daya pada perangkap.
Pelatihan Pemanfaatan Kecerdasan Buatan untuk Proses Pembelajaran di SMK Telkom Sidoarjo Muhsin, Muhammad; Rachmaningrum, Nilla; Kuntjoro, Tri Agus Djoko; Ramya, Vidira Anindita; Nugraha, Nicholas Ardi; Jadmiko, Puguh Chondro; Cahyo, Muhammad Dwi; Putri, Wafiqoh Dwi Oktaviana
Journal Of Computer Science Contributions (JUCOSCO) Vol. 5 No. 1 (2025): Januari 2025
Publisher : Lembaga Penelitian, Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/6cdtnh64

Abstract

The use of artificial intelligence has become common, including in the learning process. In the digital era, the use of artificial intelligence for education has both potential and risks. Therefore, an appropriate understanding is needed for the use of artificial intelligence in education. This is to ensure that artificial intelligence is used effectively, efficiently, and appropriately. In this article, the community service team organized artificial intelligence training for the learning process at SMK Telkom Sidoarjo. Before the training, an observation was conducted on the general and specific conditions. Then the team compiles the module according to the results of the observation. The training includes various appropriate artificial intelligence tools and ethics in their use. The training was evaluated using a questionnaire and showed high satisfaction with an average score of 92.96%.
Co-Authors Cahyo, Muhammad Dwi Herr Soeryantono jadmiko, puguh chondro Kuntjoro, Tri Agus Djoko Kusuma, Alam Nilla Rachmaningrum Nugraha, Nicholas Ardi Putri, Wafiqoh Dwi Oktaviana Ramya, Vidira Anindita Riyanto, Didik