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All Journal INOVTEK Polbeng - Seri Informatika Jurnal Wicara Desa
Iqrom, Muhammad
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Agriculture, Biological Sciences & Forestry Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Public Health Social Sciences

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Dari Limbah ke Lahan Subur: Pemanfaatan Kotoran Kambing dan Tanaman Liar untuk Pertanian Berkelanjutan Ilham, Andi; Ramdani, Raehan; Sabani, Sulita; Lestari, Dia; Safitri, Gitta; Iqrom, Muhammad; Guteres, Fikri; Rafsanjani, Reza; Latifa, Lala; Nisa, Baiq
Jurnal Wicara Vol 3 No 2 (2025): Jurnal Wicara Desa
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/wicara.v3i2.6733

Abstract

The background of this activity is the need to address the issue of goat manure and wild plant waste, which pose environmental problems in the village. The objective of this activity is to provide an environmentally friendly solution in the form of solid and liquid organic fertilizers to support sustainable agriculture. The methods of this activity include socialization, training, and distribution of plant seedlings using organic fertilizer-based planting media. The results show that solid organic fertilizer provides a balanced supply of macro and micronutrients, while liquid fertilizer enhances plant nutrient absorption efficiency. This program has economic, social, and environmental impacts by improving soil fertility, reducing dependency on chemical fertilizers, and creating business opportunities. The conclusion indicates that this initiative offers an innovative and sustainable solution for rural communities.
Dari Limbah ke Lahan Subur: Pemanfaatan Kotoran Kambing dan Tanaman Liar untuk Pertanian Berkelanjutan Ilham, Andi; Ramdani, Raehan; Sabani, Sulita; Lestari, Dia; Safitri, Gitta; Iqrom, Muhammad; Guteres, Fikri; Rafsanjani, Reza; Latifa, Lala; Nisa, Baiq
Jurnal Wicara Vol 3 No 2 (2025): Jurnal Wicara Desa
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/wicara.v3i2.6733

Abstract

The background of this activity is the need to address the issue of goat manure and wild plant waste, which pose environmental problems in the village. The objective of this activity is to provide an environmentally friendly solution in the form of solid and liquid organic fertilizers to support sustainable agriculture. The methods of this activity include socialization, training, and distribution of plant seedlings using organic fertilizer-based planting media. The results show that solid organic fertilizer provides a balanced supply of macro and micronutrients, while liquid fertilizer enhances plant nutrient absorption efficiency. This program has economic, social, and environmental impacts by improving soil fertility, reducing dependency on chemical fertilizers, and creating business opportunities. The conclusion indicates that this initiative offers an innovative and sustainable solution for rural communities.
Sentiment Analysis of Gojek, Grab, Maxim Applications Using Support Vector Machine Algorithm Iqrom, Muhammad; M. Afdal; Rice Novita; Medyantiwi Rahmawita; Tengku Khairil Ahsyar
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 1 (2025): March
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/52fycr56

Abstract

This research analyzes user sentiment towards three major online transportation applications in Indonesia—Gojek, Grab, and Maxim using the \SVM algorithm. The analysis results indicate that Maxim has the highest positive sentiment rate (42.45%) compared to Grab (32.83%) and Gojek (20.21%). Maxim's advantages lie in its competitive pricing and driver professionalism. However, Gojek recorded the best performance in sentiment classification with an accuracy of 94%, followed by Maxim (90%) and Grab (87%). The evaluation based on five main variables (general sentiment, drivers, services, applications, and pricing/costs) reveals the strengths of each application in different categories. Maxim excels in general sentiment and driver satisfaction, Grab dominates in pricing/cost, and Gojek stands out in the application category. Wordcloud visualization reveals frequently mentioned words such as "driver," "application," and "order," reflecting users' primary concerns and experiences. This research provides valuable insights for online transportation service providers to improve service quality, although it has limitations in exploring external factors such as user demographics and marketing strategies, as well as relying on a single algorithm without comparison. The choice of the SVM algorithm is based on its ability to handle well-structured data and provide high accuracy in classification. SVM is effective in finding the optimal hyperplane that clearly separates data classes, making it suitable for sentiment analysis involving multiple variables.
Co-Authors Andi ilham, Andi Guteres, Fikri Latifa, Lala Lestari, Dia M. Afdal Medyantiwi Rahmawita Nisa, Baiq Rafsanjani, Reza Ramdani, Raehan Rice Novita Sabani, Sulita Safitri, Gitta Tengku Khairil Ahsyar