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PELATIHAN PEMBUATAN PUPUK ORGANIK CAIR DENGAN BIOAKTIVATOR ALAMI DARI LIMBAH SAYUR DI DESA SUMBEREJO KOTA BATU: Pelatihan Pembuatan POC di Sumberejo Batu Istnaeny Hudha Mohammad; Nanik Astuti Rahman; Rini Kartika Dewi; Elvianto D. Daryono; Jimmy
Jurnal Penamas Adi Buana Vol 6 No 02 (2023): Jurnal Penamas Adi Buana
Publisher : LPPM Universitas PGRI Adi Buana Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/penamas.vol6.no02.a6772

Abstract

Sumberejo merupakan salah satu desa di Kota Batu yang memiliki potensi dibidang pertanian. Sekitar tahun 2020 dicanangkan sebagai desa wisata petik sayur. Untuk mewadahi dan memfasilitasi kegiatan para petani dibentuklah Badan Usaha Milik Desa (Bumdes) Barokah. Meningkatnya permintaan sayur dipasaran menuntut produksi pertanian juga harus ditingkatkan. Konsekuensinya kebutuhan pupuk akan bertambah. Selama ini kebanyakan menggunakan pupuk kimia dan dalam waktu yang panjang. Hal ini akan menimbulkan ketidakseimbangan unsur hara dalam tanah. Untuk itu diperlukan suatu tindakan guna mencari solusi guna memperbaiki unsur hara di lahan pertanian tersebut. Salah satunya adalah memanfaatkan limbah sayur dan limbah organik lainnya sebagai bahan pembuatan pupuk organik cair. Pelatihan ini melibatkan mahasiswa yang terlibat dalam program Abdimas 2022 sebanyak 12 mahasiswa. Dimana mereka akan memberikan tahapan pelatihan mulai dari pemberian materi pelatihan dan praktek langsung pembuatan pupuk organik cair (POC). POC dibuat dari limbah sayur, limbah keju (whey) dan bioaktivator (Molika) dan ember kapasitas 20 L. Pelatihan ini diikuti oleh anggota BUMDES sebanyak 15 orang, 3 dosen pendamping lapangan. Hasil kegiatan pelatihan ini adalah meningkatnya pengetahuan dan keterampilan anggota Bumdes untuk memanfaatkan limbah sayur untuk membuat pupuk organik cair.
KARAKTERISTIK BIOMASSA DAUN BUNGA SEPATU MENJADI BAHAN BAKAR STERNO GEL Dewi, Rini Kartika; Muyassaroh; Jimmy
jurnal ATMOSPHERE Vol. 2 No. 2 (2021): ATMOSPHERE
Publisher : Teknik Kimia ITN Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/atmosphere.v2i2.4301

Abstract

Sterno gel of hibiscus leaves (Hibiscus rosa-sinensis L.) is an alternative energy source that can be used as fuel because it has non-volatile characteristics, during the combustion process it does not smoke, does not have soot and does not produce harmful and carcinogenic gas emissions and does not have any harmful gases. the impact of emissions on the environment, Inside the hibiscus leaf contains saponins, -sitosterol, stigmasterol, taraxeryl acetate and 3-cyclopropane and their derivatives which will dissolve in both water and ethanol and will form colloids in water. With this composition, the researchers used hibiscus leaf biomass as fuel for sterno gel, where in this study the variables were filtrate mass of hibiscus leaf :10,1 20, 30, 40,50,60 and 70 grams and mass of carbopol :1, 1.5, 2 and 2.5 grams. From the research, it was found that the best burning time was 60 grams of hibiscus filtrate mass and 2.5 grams of carbopol mass, which was 25.02 minutes with the resulting gas emission values ​​of NOx: 4 ppm, SO2: 3 ppm and H2S: 2 ppm. While the calorific value is 3500 calories.
Pengembangan Media Video Pembelajaran Matematika Berbentuk Animasi Menggunakan Canva Jimmy; Yulianai, Refi Elfira; Kusumawati, Nyimas Inda
Jurnal Pendidikan Matematika RAFA Vol 10 No 1 (2024): Jurnal Pendidikan Matematika RAFA
Publisher : Program Studi Pendidikan Matematika, Universitas Islam Negeri Raden Fatah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19109/jpmrafa.v10i1.24255

Abstract

This research aims to produce a mathematics learning video and determine its validity and practicality. In this research, the researcher used Canva to create animated mathematics learning videos with the material of flat-sided cube and rectangular prism. The development uses the ADDIE model which consists of: analysis, design, development, implementation, and evaluation. The research subjects were 28 eighth-grade students in the second semester of the 2023-2024 academic year. The data collection methods used were tests and questionnaires, accompanied by documentation. The results of this study are that the produced media is feasible, useful, and has the potential to be influential. The evaluation results from the media experts stated that the video material is very good, with a percentage score of 81.25%; material experts stated that the video material is good, with a percentage score of 95.83% in the very good category; language experts stated that the video material is sufficient, with a percentage score of 89.28% in the very suitable category. In addition to the evaluation of student questionnaire responses, 88.24% of respondents at that time stated "very interested".
ANALISIS KLASIFIKASI SENTIMEN PENGGUNA MEDIA SOSIAL TWITTER TERHADAP PENUNDAAN PEMILU PRESIDEN TAHUN 2024 Jimmy; Hermaliani, Eni Heni; Kurniawati, Laela
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 2 (2023): Mei
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i2.243

Abstract

The discourse of postponing the 2024 election and extending the term of office of the president has stimulated sentiment in some regions in Indonesia. The discourse has implications for the extension of the president's term of office which is considered unconstitutional. The issue of postponing the election is clearly not the aspiration of the people, but only the interests of political passion and lust among the rulers who want to perpetuate power so that it is considered to violate and insult the constitution which stipulates that elections are held every five years. This study aims to determine how to analyze the sentiment of postponement the 2024 election on comments from the Indonesian people on Twitter or called tweets. The number of comments that will be used in the study is 1826 consisting of 710 positive sentiments and 1116 negative sentiments. The research method used is the Cross-Industry Standard Process for Data Mining (CRISP-DM) method. With this method, the stages of research carried out are data collection, business understanding, data understanding, data preprocessing, data labeling, modeling, evaluation, and deployment. Based on the results obtained at the modeling stage, the tweet data that has been collected is then processed and analyzed for sentiment with a train/test split data model and k-fold cross validation using the Naive Bayes (NB) algorithm, Support Vector Machine (SVM), Deep Learning (DL) ), and Desicious Tree (DT) and a comparison of 80:20 for training and testing data, the highest accuracy value is obtained by using the train/test split data model using the Naive Bayes algorithm to produce an accuracy of 80,55%.
RASIO PROFITABILITAS DAN POTENSI FINANCIAL DISTRESS: STUDI PADA PERUSAHAAN PERDAGANGAN RITEL DI BURSA EFEK INDONESIA Jimmy; Sabandar, Sita Yubelina; Mallisa, Mika
Jurnal Manajemen dan Profesional Vol. 6 No. 1 (2025): Jurnal JPro
Publisher : Program Studi Manajemen Institut Teknologi dan Bisnis Asia Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jpro.v6i1.2630

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh rasio profitabilitas terhadap potensi kesulitan keuangan pada perusahaan-perusahaan sektor perdagangan ritel yang terdaftar di Bursa Efek Indonesia. Metode yang digunakan mengadaptasi model Campbell-Hilscher-Szilagyi (CHS) dengan Altman Z-Score sebagai variabel pembanding. Penelitian ini dilakukan dengan menyesuaikan beberapa elemen model CHS agar relevan digunakan di konteks perusahaan Indonesia. Hasil penelitian menunjukkan bahwa rasio-rasio profitabilitas memiliki hubungan yang bervariasi terhadap potensi kesulitan keuangan, baik secara langsung maupun melalui pengaruh terhadap kondisi keuangan perusahaan secara keseluruhan. Studi ini memberikan kontribusi terhadap upaya adaptasi model prediksi kesulitan keuangan global untuk digunakan di pasar domestik Indonesia.