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Diseminasi Teknologi Retort Drum untuk Produksi Biochar Bambu Di Desa Banjar Waru, Cilacap Sari Widya Utami; Galih Mustiko Aji; Artdhita Fajar Pratiwi; Fadillah Fadillah; Rostika Listyaningrum
Indonesian Journal of Community Service and Innovation (IJCOSIN) Vol 4 No 2 (2024): Juli 2024
Publisher : LPPM IT Telkom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/ijcosin.v4i1.1491

Abstract

The purpose of this community service activity is to enhance community knowledge and skills in making bamboo craft waste into biochar using retort drum technology. Bamboo biochar produced by using retort drum technology will be used to enhance the relatively low fertility of agricultural soil in Banjar Waru village. The way for carrying out community service activities involves introducing biochar and its manufacturing procedures, training in biochar production, and evaluating the longing program. The activity's results showed that participants were interested in and noticed the process of making bamboo waste into biochar. The effectiveness of this community service activity is that there is a program conducted in groups to produce bamboo charcoal and other agricultural waste.
Penentuan Kadar Selulosa Asetat pada Daun Tanaman Puring (Codiaeum variegatum) sebagai Penyerap Timbal di Udara Ayu Pramita; Eka Dyah Puspitasari; Rostika Listyaningrum
Journal of Research and Technology Vol. 6 No. 2 (2020): JRT Volume 6 No 2 Des 2020
Publisher : 2477 - 6165

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55732/jrt.v6i2.352

Abstract

Pollution is one of the environmental problems in developing countries. Sources of pollution can be caused by nature and due to human actions. One of the air pollution sources is heavy metal content of Pb which is not easily decomposed in nature so that it can contaminate the environment. In Puring plants, especially the leaves have cellulose acetate which can filter heavy metals. The purpose of this study was the manufacturing of cellulose acetate from the leaves of the Puring plant. The cellulose obtained from the simplicia of leaves of the Puring plant will then be reacted into cellulose acetate through the acetylation reaction process using acetic anhydride with variations in temperature and reaction time taken, namely 40, 50, 60° C and as long as 50, 55, and 60 minutes. The levels of cellulose acetate were obtained through the cellulose extraction process, the synthesis of cellulose acetate and the final stage of making the membrane, from this process the optimum temperature and reaction time results were obtained in the second experiment with a temperature and reaction time of 50°C each and for 55 minutes without applying a catalyst 12.40%. In addition, the weight variation of raw material powder was taken, namely 20, 40, 60, 80, and 120 mg using a certain concentration of Pb (II) solution to determine the adsorbent capacity. These results can be obtained from analysis using Fourier Transform Infrared (FTIR).
Klustering Data Mahasiswa Menggunakan Metode K-Means Sebagai Acuan dalam Penentuan UKT Mahasiswa Prasetyanti, Dwi Novia; Riyadi Purwanto; Cahya Vikasari; Rostika Listyaningrum
Infotekmesin Vol 15 No 2 (2024): Infotekmesin, Juli 2024
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v15i2.2360

Abstract

Determining Uang Kuliah Tunggal/UKT for new students is important in Penerimaan Mahasiswa Baru/PMB process after PMB selection process. The determination of UKT groups by The PMB committee at Politeknik Negeri Cilacap is carried out one by one by looking at the economic data of new students. This condition has become a special problem due to the increase in PMB quotas in the PNC, so it requires alternative solutions that can be used as one of the benchmarks in the determination of a new student UKT group in PNC. The researchers used clustering with features that represent the economic conditions of new students with the K-means method to provide alternative solutions. The result of using the K-Means method in clustering, yielding a performance value for the number of clusters 8 of 1669,283, with the highest number of cluster members in cluster members in cluster 4 being 72 out of 275 data. The Elbow method test results to determine the best number of clusters resulting in 4 cluster with a performance value of 2462,003.