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All Journal JURNAL SISTEM INFORMASI BISNIS Jurnal Penelitian Kehutanan Wallacea
Miftachur Robani, Miftachur
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Agriculture, Biological Sciences & Forestry Computer Science & IT Economics, Econometrics & Finance

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Algoritma K-Means Clustering Untuk Pengelompokan Ayat Al Quran Pada Terjemahan Bahasa Indonesia Robani, Miftachur; Widodo, Achmad
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 2 (2016): Volume 6 Nomor 2 Tahun 2016
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1112.246 KB) | DOI: 10.21456/vol6iss2pp164-176

Abstract

Clustering process can make the process of grouping data so that the data in the same cluster have high similarity with the data in the same cluster. One of the clustering algorithm that is widely used is the K-Means because it has advantages such as simple, efficient, easy to understand and easy to apply. Grouping paragraph dealing with similar themes will allow users to find a theme in the Qur'an. This study aims to produce an information system that can perform grouping Quran with K-Means method. This research was conducted with a pre-processing stage process for text data, weighting by TFIDF, grouping data with K-Means clustering, labeling data for keywords. The resulting system is able to display a verse in groups associated with the keyword. The test results by using the index on the silhouette of Surah Al Fatihah generate positive value of 0.336 which means that the data in the right group, while the frequency of keywords versus the amount of data to produce a percentage of 53%, which means the keyword represents half of the data in the cluster. Tests also showed that the test results silhouette will be directly proportional to the number of clusters and inversely proportional to the number of data dimensions. To increase the value of testing required centroid method for early elections, the reduction of data dimensions and methods of measurement of distance and similarity.
Growth rate and carbon storage capacity of mangroves along the Tambakrejo Coastal Zone Agustina, Muhammad Agung Triyudha; Rahmi, Muthiah Aini; Aristia, Alma Cantika; Indahyati, Fahriza Dwi; Robani, Miftachur; Ichsan, Amiul; Syadzali, Chashif; Nurhayati, Nurhayati; Mutiara, Sarah
Jurnal Penelitian Kehutanan Wallacea Vol. 13 No. 1 (2024)
Publisher : Foresty Faculty of Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24259/jpkwallacea.v13i1.31985

Abstract

The existence of mangroves is essential as a mitigation agent of the impacts of climate change. Mangroves serve as abrasion protection and a carbon storage agent, reducing greenhouse gas emissions. This study aimed to examine  growth rate and carbon storage of mangroves as a determination of a rehabilitation potential for abrasion-exposed degraded mangroves. This study used a quantitative approach. Data was collected in November 2021 at the Tambakrejo coast, located in the north coast of Semarang. The results showed that the highest growth rate occurred in the 5–6-year period with the diameter of 0.11 cm (about 0.04 inch)/month and in the 4–5-year period with the height of 3.54 cm (about 1.39 inch)/month. The regression analysis showed moderate level of relationship between diameter and height values. This was used to determine both height and diameter values. Among different tree age classes, the age class of 72 showed the highest storage capacity, reaching 45.6 kg CO2eq, with average annual addition of 7.5 kgCO2eq/year. This indicates biomass addition is positively related to the storage capacity. Thus, anything that can alter the mangrove tree biomass will affect its carbon storage capacity.
Co-Authors Achmad Widodo Agustina, Muhammad Agung Triyudha Aristia, Alma Cantika Ichsan, Amiul Indahyati, Fahriza Dwi Mutiara, Sarah Nurhayati Nurhayati Rahmi, Muthiah Aini Syadzali, Chashif