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All Journal GUYUB: Journal of Community Engagement International Journal of Informatics, Information System and Computer Engineering (INJIISCOM)
Singgih, Ivan Kristianto
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Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Other

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Air Quality Prediction in Smart City's Information System Ivan Kristianto Singgih
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol 1 No 1 (2020): International Journal of Informatics, Information System and Computer Engineering
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (903.463 KB) | DOI: 10.34010/injiiscom.v1i1.4020

Abstract

The introduction of new technology and computational power enables more data usages in a city. Such a city is called a smart city that records more data related to daily life activities and analyzes them to provide better services. Such data acquisition and analysis must be conducted quickly to support real-time information sharing and support other decision-making processes. Among such services, an information system is used to predict the air quality to ensure people's health in the city. The objective of this study is to compare various machine learning techniques (e.g., random forest, decision tree, neural network, naïve Bayes, etc.) when predicting the air quality in a city. For the comparison, we perform the removal of records with empty values, data division into training and testing datasets, and application of the k-fold cross-validation method. Numerical experiments are performed using a given online dataset. The results show that the three best methods are random forest, Gradient Boosting, and k-nearest neighbors with precision, recall, and f1-score values more than 0.63.
Agricultural Drone Zoning and Deployment Strategy with Multiple Flights Considering Takeoff Point Reach Distance Minimization Singgih, Ivan Kristianto
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 2 No. 2 (2021): International Journal of Informatics, Information System and Computer Engineeri
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v2i2.7208

Abstract

In the agricultural sector, drones are used to spray chemicals for the plants. A lawn mowing movement pattern is one of the widely used methods when deploying the drones because of its simplicity. A route planner determines some pre-set routes before making the drones to fly based on them. Each drone flight is limited by its battery level or level of spray liquids. To efficiently complete the spraying task, multiple drones need to be deployed simultaneously. In this study, we study a multiple drone zoning and deployment strategy that minimizes the cost to set up equipment at the takeoff points, e.g., between flights. We propose a method to set the flight starting points and directions appropriately, given various target areas to cover. This is the first study that discusses the spraying drone zoning and deployment plan while minimizing the number of takeoff points, which plays an important role in reducing the drone set up and deployment costs. The suggested procedure helps drone route planners to generate good routes within a short time. The generated routes could be used by the planner for their chemical spraying activity and could be used as initial input for their design, which can be improved with the planners’ experience. Our study shows that when generating an efficient route, we must consider the number of flight area levels, directions of the drone movements, the number of U-turns of the drones, and the start points of the drone flights
Pengembangan Tekstil Ecoprint Berbasis Limbah Kain Hotel untuk Pemberdayaan Perempuan Nugraha, Nugraha; Viviany, Viviany; Tiffany, Florentina; Singgih, Ivan Kristianto; Reza, Caisya Ibni Aulia Putri; Wijaya, Claudia Zefanya; Go, Faith Zefanya Farrel; Pratama, Rafindra Hyoga
GUYUB: Journal of Community Engagement Vol 7, No 1 (2026): Maret
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/guyub.v7i1.14366

Abstract

The Ibu Semangat Indonesia Kuat (ISIK) Organization in Surabaya has strong potential in developing ecoprint textiles based on sustainability and women’s empowerment; however, it still faces limitations in production, visual design, as well as branding and marketing aspects. This Community Service Program aims to strengthen production and marketing capacity through the enhancement of technical skills, design, and digital branding. The results indicate measurable improvements, including: (1) a 60–70% increase in production capacity and efficiency through the optimization of equipment and workflow; (2) a 70–80% improvement in members’ ecoprint mapping skills, reflected in more structured and consistent motif compositions; (3) a 100% increase in product diversification, from no derivative products to finished goods such as bags and fashion garments; (4) a 65–75% improvement in visual product quality, indicated by reduced printing failures; and (5) a 70% improvement in packaging and digital branding quality, as shown by more representative packaging and more engaging visual content. These findings imply a significant enhancement in the competitiveness of ecoprint products and the productivity of women-led communities within an environmentally sustainable creative industry.
Co-Authors Go, Faith Zefanya Farrel Nugraha Nugraha Pratama, Rafindra Hyoga Reza, Caisya Ibni Aulia Putri Tiffany, Florentina Viviany, Viviany Wijaya, Claudia Zefanya