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Design and Build of a Multifunctional Portable Fertilizer Zunanik Mufidah; Sabar Sabar; Bagus Hermanto; Agung Cahyono; Adi Mas Sulton; Intan Avionita; Sujatmiko Sujatmiko; Sri Mursidah
Teknotan: Jurnal Industri Teknologi Pertanian Vol 17, No 2 (2023): TEKNOTAN, Agustus 2023
Publisher : Fakultas Teknologi Industri Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jt.vol17n2.3

Abstract

Pangestu Farmer Group is a farming group in Pandanrejo Village, Batu Regency, that has high-quality sweet corn as a strategic asset with often fluctuating yields. Consequently, the market demand cannot be met. The main problem of fluctuations in corn yields is due to improper fertilization methods. Applying liquid fertilizer during the rainy season can result in nutrients being washed away by rainwater, but when granular fertilization is used, this results in increased costs and labour. A solution is needed to solve this problem so that the fertilization process is correct, and the timing of fertilization and labour costs can be reduced. Therefore, a portable fertilizing technology based on spring valves is needed. The goal is to develop and manufacture a valve spring-based portable fertilizer that can increase the effectiveness and efficiency of the fertilization process. The comparison of type 1 and type 2 fertilizers lies in the raw material used. Commercially available hand sprayer for comparison in design. Ergonomic analyses are also considered in the design of the fertilizer, both in terms of user safety and comfort. The method in this study is to design tools with power and ergonomic calculations, manufacture tools at Sahabat Teknik Workshop, and conduct tests at Brawijaya University's Agricultural Power and Machinery Laboratory. The test results for portable fertilizer types 1 and 2 show great advantages, namely, increase in working capacity 20 times to 1.2 ha/hour, reduce the number of workers from 7 people/ha to 5 people/ha, reduce operating time, reduce labour costs and increase farmers' income by up to 57, 72%/year.
Peningkatan keterampilan menulis puisi menggunakan metode sugesti imajinasi dengan media video klip lagu kelas X RPL 2 SMK Negeri Takeran tahun pelajaran 2022/2023 Dinda Mayang Saputri; Vivi Rulviana; Agung Cahyono
SEMINAR NASIONAL SOSIAL, SAINS, PENDIDIKAN, HUMANIORA (SENASSDRA) Vol 2, No 1 (2023): Implementasi kurikulum merdeka menuju transformasi pendidikan dalam mempersiapka
Publisher : SEMINAR NASIONAL SOSIAL, SAINS, PENDIDIKAN, HUMANIORA (SENASSDRA)

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Latar belakang pelaksanaan penelitian ini adalah karena minimnya kemampuan peserta didik dalam menulis teks puisi khususnya di kelas X RPL 2 SMK Negeri Takeran. Tujuan dari penelitian ini adalah menggambarkan bagaimana metode sugesti imajinasi dengan media video klip lagu mampu membantu peserta didik meningkatkan kemampuan menulis puisi mereka. Desain penelitian ini adalah PTK dengan kegiatan pra siklus, kegiatan siklus I dan kegiatan siklus II. Setiap siklus terdiri dari tahap perencanaan, tindakan, observasi, dan refleksi. Pendekatan penelitian ini bersifat deskriptif kualitatif. Subjek dalam penelitian ini adalah 32 peserta didik kelas X RPL 2 SMK Negeri Takeran. Teknik pengumpulan data dalam penelitian ini adalah teknik observasi, tes, dan dokumentasi. Data yang digunakan dalam penelitian ini berupa laporan hasil belajar mendemonstrasikan kemampuan menulis puisi peserta didik yang diperoleh selama kegiatan pra siklus dan dua siklus pembelajaran. Hasil penelitian menunjukkan bahwa kemampuan dan motivasi peserta didik dalam mengikuti pembelajaran meningkat dari pra siklus, siklus I, dan siklus II. Nilai rata-rata pra siklus sebesar 76,5. Pada kegiatan siklus I rata-rata nilai meningkat menjadi 80,5. Dari kegiatan siklus I ke kegiatan siklus II nilai rata-rata meningkat menjadi 86,5. Penelitian ini menunjukkan bahwa penggunaan metode sugesti imajinasi dengan media video klip berpengaruh positif bagi peserta didik
Semantic Diversity In The Formation Of Story Questions From The Big Language Model Andra Havid Andra Ramadhon; Agung Cahyono; Taufiq Agung Cahyono
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 9 No. 1 (2026): Jurnal Teknologi dan Open Source, June 2026
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v9i1.5490

Abstract

The development of Large Language Models (LLMs) has opened new opportunities for the automatic generation of math word problems (MWPs). However, many existing approaches still produce repetitive and template-based problems due to limited variation in context, narrative structure, and semantic relationships. This limitation reduces the effectiveness of such problems in assessing students’ conceptual understanding. This study aims to develop a semantic diversity pipeline based on context-aware generation to produce more varied, meaningful, and curriculum-aligned math word problems for Indonesian elementary education. The proposed method involves building an Indonesian MWP dataset, fine-tuning an LLM using Low-Rank Adaptation (LoRA), and designing a generation pipeline consisting of context retrieval, prompt diversification, semantic evaluation, and a solvability filtering mechanism. Evaluation was conducted using automated metrics, including Self-BLEU, Jaccard Similarity, and Cosine Similarity based on Sentence-BERT, as well as qualitative assessments from mathematics teachers. The results show that the proposed approach successfully improves lexical, semantic, and contextual diversity in generated problems. The Self-BLEU score of 4.79 indicates low repetition, the Jaccard Similarity score of 0.194 reflects high vocabulary variation, and the Cosine Similarity score of 0.424 demonstrates balanced semantic diversity while maintaining mathematical consistency. Teacher evaluations further confirm that the generated problems are relevant to the curriculum, appropriately challenging, and more natural compared to conventional methods. Overall, this research contributes to the development of more adaptive and diverse LLM-based math word problem generation systems for mathematics learning in Indonesia.