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Effectiveness of IoT in Water Quality Monitoring and Waste Management towards Environmental Standards Compliance in the West Java Pharmaceutical Industry Farida Arinie Soelistianto; Baharuddin Baharuddin; Muntasir Muntasir
West Science Interdisciplinary Studies Vol. 3 No. 01 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i01.1631

Abstract

This study investigates the effectiveness of Internet of Things technologies in water quality monitoring and waste management to meet environmental standards in the pharmaceutical industry of West Java, Indonesia. The quantitative approach was used in this study. Data were collected from 55 pharmaceutical companies through a survey using a Likert scale ranging from 1 to 5. Data analysis was done using SPSS version 25. There is a positive correlation between IoT implementation in both water quality monitoring and waste management regarding environmental standards. The firms in which an IoT system was implemented outperformed others in terms of satisfaction of regulatory requirements concerning water quality and waste disposal. It also established the combined effect of IoT in both the domains on overall environmental performance. These findings reflect that IoT technologies have the potential to significantly enhance the contribution of the pharmaceutical industry towards adhering to environmental standards and sustainable development.
Analysis of Diversity & Inclusion Implementation, Online Training, and Adaptive Leadership on Employee Engagement in Digital Startups in West Java Farida Arinie Soelistianto; Harrij Mukti Khristiana; Salwa Aulia Novitasari
West Science Interdisciplinary Studies Vol. 3 No. 02 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i02.1703

Abstract

This study explores the impact of Diversity & Inclusion Implementation, Online Training, and Adaptive Leadership on Employee Engagement in digital startups located in West Java. The research employs a quantitative approach with a sample size of 170 employees, utilizing a Likert scale (1-5) for data collection and data analysis performed through Structural Equation Modeling (SEM-PLS 3). The findings reveal that all three factors significantly influence employee engagement, with Adaptive Leadership having the strongest impact, followed by Diversity & Inclusion Implementation and Online Training. The study highlights the importance of adaptive leadership in fostering employee motivation and commitment, as well as the role of inclusive practices and continuous learning opportunities in enhancing employee engagement. The implications of these findings are discussed, with recommendations for digital startups to focus on leadership development, diversity initiatives, and training programs to improve employee engagement and organizational performance.
Teknologi IoGT dan Sensor Cerdas untuk Inovasi di Industri Geosains: Sebuah Systematic Literature Review Farida Arinie Soelistianto; Yosse Hendry
Jurnal Geosains West Science Vol 3 No 03 (2025): Jurnal Geosains West Science
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/jgws.v3i03.2810

Abstract

Studi ini secara sistematis mengkaji integrasi Internet of Geoscience Things (IoGT) dan teknologi sensor pintar sebagai katalisator inovasi di industri geosains. Melalui tinjauan literatur sistematis terhadap lima belas publikasi yang telah direview oleh rekan sejawat dari Google Scholar (2015–2025), studi ini mengidentifikasi kerangka kerja teknologi, aplikasi, dan hasil inovasi dari implementasi IoGT dalam eksplorasi geologi, pemantauan lingkungan, dan pengelolaan sumber daya. Hasil penelitian menunjukkan bahwa arsitektur IoGT—yang terdiri dari sensor pintar, jaringan nirkabel, dan analisis cerdas—memungkinkan pemantauan real-time, pemodelan prediktif, dan operasi otonom di berbagai bidang geosains. Sensor pintar meningkatkan akurasi data, keamanan, dan keberlanjutan, sementara integrasi Big Data, Kecerdasan Buatan (AI), dan komputasi tepi (edge computing) meningkatkan efisiensi pengambilan keputusan. Meskipun telah terjadi kemajuan signifikan, tantangan tetap ada, termasuk interoperabilitas data, keamanan siber, efisiensi energi, dan keterbatasan infrastruktur di wilayah berkembang. Studi ini menyimpulkan bahwa IoGT dan sensor pintar mendorong transformasi digital geosains, mempromosikan keberlanjutan dan inovasi. Penelitian masa depan harus menekankan kolaborasi lintas disiplin, standarisasi, dan pengembangan digital twin untuk memperkuat sistem “Smart Geoscience 5.0” generasi berikutnya.
Pengaruh Intensitas Penyiraman dan Media Tanam terhadap Pertumbuhan Tanaman Selada Hidroponik di kota Malang Farida Arinie Soelistianto; Rival Pahrijal; Salwa Aulia Novitasari
Jurnal Multidisiplin West Science Vol 5 No 07 (2026): Jurnal Multidisiplin West Science
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/jmws.v5i07.3779

Abstract

Budidaya hidroponik telah muncul sebagai teknologi pertanian alternatif untuk mengatasi keterbatasan lahan, masalah efisiensi sumber daya, serta meningkatnya permintaan akan sayuran berkualitas tinggi. Namun, keberhasilan produksi selada hidroponik sangat bergantung pada praktik manajemen budidaya, khususnya intensitas penyiraman dan pemilihan media tanam. Penelitian ini bertujuan untuk mengkaji pengaruh intensitas penyiraman dan media tanam terhadap pertumbuhan selada hidroponik di Malang. Penelitian ini menggunakan pendekatan kuantitatif dengan melibatkan 65 petani selada hidroponik sebagai responden. Data dikumpulkan melalui kuesioner terstruktur dengan skala Likert lima poin dan dianalisis menggunakan SPSS versi 25 melalui analisis deskriptif, uji validitas dan reliabilitas, uji asumsi klasik, analisis regresi linear berganda, uji-t, uji-F, serta analisis koefisien determinasi. Hasil penelitian menunjukkan bahwa intensitas penyiraman berpengaruh positif dan signifikan terhadap pertumbuhan selada hidroponik. Selain itu, media tanam juga menunjukkan pengaruh positif dan signifikan terhadap pertumbuhan selada. Hasil pengujian secara simultan mengonfirmasi bahwa intensitas penyiraman dan media tanam berpengaruh signifikan terhadap pertumbuhan selada hidroponik. Nilai koefisien determinasi (R²) sebesar 0,554 menunjukkan bahwa kedua variabel independen tersebut menjelaskan 55,4% variasi dalam pertumbuhan selada hidroponik. Temuan ini menunjukkan bahwa manajemen irigasi yang efektif dan pemilihan media tanam yang tepat merupakan faktor penting untuk meningkatkan produktivitas selada hidroponik. Penelitian ini memberikan implikasi praktis bagi petani hidroponik di Malang dengan menekankan pentingnya manajemen budidaya terpadu untuk mencapai produksi sayuran yang berkelanjutan dan efisien.
The Impact of Adaptive Learning Technology on Improving Students’ Concept Understanding Farida Arinie Soelistianto; Dony Andrasmoro; Yusriati Yusriati; Mardiati Mardiati; Aldi Bastiatul Fawait
Journal of Computer Science Advancements Vol. 2 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v2i3.1176

Abstract

Adaptive learning technology is an educational method that uses artificial intelligence and computer algorithms. This learning system can manage students’ interaction pattern during learning activities. The use of adaptive learning technology is able to change students from just receiving information to an active and collaborative part in the learning process. This research was conducted with the aim of improving the quality of education in Indonesia by encouraging teachers to use this technology. This research also aims to provide a better understanding of the potential and weaknesses of adaptive learning technology in improving students’ concept understanding as well as providing stronger guidance for curriculum development and better educational practices.  The method used in this research is quantitative method. This method is a way of collecting numerical data that can be tested. Data is collected through the distribution of questionnaires addressed to students. Furthermore, the data that has been collected from the distribution of the questionnaire, will be accessible in Excel format which can then be processed with SPSS. From the results of the study, it can be seen that the impact of using adaptive learning technology shows that adaptive learning technology can improve the quality of education. Research shows that with the use of adaptive learning technology, it can change teaching methods, learning materials, and can find out the level of learning difficulties faced by these students. From this study, researchers can conclude that the impact of using adaptive learning technology, can improve student understanding and achievement and has the potential to improve the quality of education. with the existence of adaptive learning technology, it is able to increase student involvement and motivation in learning, so that student understanding in learning can be achieved well.