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All Journal Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB Jurnal Teknik Industri Jurnal Pemberdayaan Masyarakat
Adriansyah, Putri Nabila Adinda
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Industrial & Manufacturing Engineering Social Sciences

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Ecoenzyme Making Training for the Community in Cipanas Village as a Waste Management Innovation Heliawati, Leny; Prasetyorini, Prasetyorini; Kurniasih, Surti; Retnowati, Rita; Adriansyah, Putri Nabila Adinda
Jurnal Pemberdayaan Masyarakat Vol 4, No 1 (2025)
Publisher : Yayasan Keluarga Guru Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46843/jpm.v4i1.349

Abstract

Cipanas Village is classified as densely populated without landfills or institutions in charge of processing waste. This village accumulates mostly household organic waste in the form of vegetables, fruit, or other organic waste. To overcome the waste problem in this village, the community service team conducted socialization and demonstrations in making ecoenzymes to overcome organic waste problems. The ecoenzyme solution has many benefits, such as a cleaning solution, plant fertilizer, and many more. This community service activity consists of two stages: socialization and demonstration. This community service activity was very well received by the Cipanas Village community, as seen by the enthusiasm and many questions asked by the participants about the socialization and demonstration of making ecoenzymes. Community service activities like this are hoped to be carried out sustainably, encouraging people to be creative and innovative in creating a clean and waste-free environment while making products of ecoenzymes that are very beneficial for people's lives.
Penerapan Algoritma Regresi Linier Untuk Memprediksi Jumlah Kasus Gizi Buruk Pada Anak Di Jawa Barat Hanif, Sa’ad Khairudin; Fatchan, Muhammad; Hadikristanto, Wahyu; Adriansyah, Putri Nabila Adinda; Karsito, Karsito
Jurnal SIGMA Vol 16 No 1 (2025): Juni 2025
Publisher : Teknik Informatika, Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/sigma.v16i1.6054

Abstract

Penelitian ini bertujuan untuk membuat dan mengevaluasi model prediksi jumlah anak dengan gizi buruk di berbagai daerah di Jawa Barat menggunakan algoritma regresi linier. Data diambil dari Open Data Jabar yang mencakup berbagai faktor risiko. Fokus utama adalah mengukur akurasi dan efektivitas model dalam mendeteksi kasus gizi buruk serta menyelidiki peran teknologi pembelajaran mesin dalam membantu perencanaan dan penerapan intervensi kesehatan. Hasil penelitian menunjukkan bahwa model regresi linier yang dibuat memiliki tingkat akurasi yang memadai dengan R² sebesar 0.64, yang berarti model dapat menjelaskan 73% variasi dalam jumlah anak. Prediksi menunjukkan hasil yang sebanding dengan data asli, terutama di daerah dengan banyak anak. Penggunaan machine learning terbukti membantu pemerintah daerah dan lembaga kesehatan dalam menemukan wilayah yang membutuhkan perhatian khusus dan memungkinkan penempatan sumber daya yang lebih tepat sasaran dan efektif. Prediksi menunjukkan bahwa beberapa daerah, seperti Kabupaten Garut, Kabupaten Cirebon, dan Kabupaten Bogor, mungkin memiliki tingkat kasus gizi buruk yang lebih tinggi, yang memerlukan perhatian lebih dalam program kesehatan.
Pemanfaatan Limbah Pabrik Teh (Camelis Sinensis) sebagai Pupuk Kompos (Studi Kasus UMKM Pembuatan Minuman Teh) Priyanto, Ibay Edi; Supriyanto, Supriyanto; Adriansyah, Putri Nabila Adinda
JURNAL TEKNIK INDUSTRI Vol. 3 No. 02 (2022): JURNAL TEKNIK INDUSTRI : NOVEMBER 2022
Publisher : DPPM UNIVERSITAS PELITA BANGSA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/jutin.v3i02.5230

Abstract

Tea solid waste comes from the remaining beverage production that has gone through two processing processes, then the resulting tea waste is processed into compost through the stages of waste separation, weighing the waste, drying the waste, making a solution between water and em4, and composting. This research aims to understand the compost making process, analyze the elements contained in the compost, analyze the quality of the compost according to SNI 19-7030-2004, and analyze the ideal dosage for plant growth. Composting was carried out for 27 days. Before the compost was used, laboratory tests were carried out between the tea waste and the tea waste compost and the compost results were compared with the SNI 19-7030-2004 Compost Quality Standard. The compost that has gone through the laboratory tests was applied to mustard plants (camelis sinensis) by giving different doses in each polybag starting from the treatment dose of 0%, 2.5%, 5%, 7.5%, 10%, 12.5% ​​and 15%. With the weight parameter of mustard greens (camelis sinensis), the weight determination technique is to remove the plants from each polybag and then weigh them within seven days in seven scales. The results of laboratory tests of 9 SNI 19-7030-2004 Compost parameters only 3 meet the standards, so it is concluded that the composting process takes 27 days, the compost is not fully mature. The ideal plant observation application on the growth of mustard plants (camelis sinensis) in this study is at a dose of 12.5% ​​​​with the highest mustard plant weight (camelis sinensis) of 12.1 g with an average weekly weight of 8.6 g.
Co-Authors Fatchan, Muhammad Hanif, Sa’ad Khairudin Karsito, Karsito Kurniasih, Surti Leny Heliawati Prasetyorini Prasetyorini Priyanto, Ibay Edi Rita Retnowati Supriyanto Supriyanto Wahyu Hadikristanto