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All Journal Jurnal Keteknikan Pertanian Tropis dan Biosistem Jurnal Teknik Elektro dan Komputasi (ELKOM)
Alam, Ahmad Mutafakkir
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Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Mechanical Engineering

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Perancangan Prototype Smart Clothesline Berbasis Mikrokontroler ATMega328 dengan Antarmuka SharpDevelop Afianah, Nuzula; Alam, Ahmad Mutafakkir; Hakim, Irham Maulana; Anggita, Silvia Nur
Jurnal Teknik Elektro dan Komputasi (ELKOM) Vol 7, No 1 (2025): ELKOM
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/elkom.v7i1.23328

Abstract

Era transformasi digital telah mengubah tatanan kehidupan melalui pemutakhiran teknologi yang dikembangkan pada berbagai perangkat elektronika. Pemanfaatan teknologi diaplikasikan untuk kebutuhan sehari-hari baik komersil maupun individu. Kebutuhan akan otomatisasi berbagai aspek dirasa perlu bagi bisnis jasa cuci pakaian atau laundry. Selain pada aplikasi laundry yang telah dikembangkan, kelengkapan lainnya termasuk antisipasi risiko pakaian pada saat hujan juga dibutuhkan. Smart clothesline sebagai salah satu aplikasi smart system yang digunakan untuk otomatisasi proses pengangkatan atau pemulungan jemuran pakaian di luar ruangan telah terintegrasi dengan sistem kendali cerdas menggunakan Mikrokontroler 328 dan dilengkapi dengan antarmuka untuk memudahkan pengguna dalam mengoperasikan sistem tersebut. Perancangan perangkat keras menggunakan arduino uno, sensor hujan, sensor LDR, motor DC, driver motor L298N serta pulley dan belt. Sedangkan perancangan perangkat lunak aplikasi menggunakan SharpDevelop berbasis C# window form interface. Hasil pengujian pada kondisi cerah tak berhujan, cerah berhujan, gelap atau mendung berhujan dan gelap berhujan telah sesuai dengan yang diharapkan
Estimating Leaf Area from Digital Images Using Numerical Integration Method Dharmawan, Agus; Alam, Ahmad Mutafakkir; Marhaenanto, Bambang; Soedibyo, Dedy Wirawan
Jurnal Keteknikan Pertanian Tropis dan Biosistem Vol. 14 No. 2 (2026): August 2026
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jkptb.2026.014.02.13

Abstract

Leaves are essential for photosynthesis and plant productivity, making leaf measurement critical for assessing growth and health. Traditional measurement techniques provide useful and interpretable results but are time?consuming and risk damaging fragile leaves. This study aims to combine digital image analysis with numerical integration method, particularly Newton-Cotes algorithms including the Riemann sums, the composite trapezoid rule, Simpson’s 1/3 and 3/8 rules, Boole’s rule, and the six point NC rule for leaf area estimation. The leaf area is estimated by partitioning and summing the area of curve?bounded objects from different number of subdivisions. A total of 86 leaf samples were collected, and their accuracy and agreement were compared against the grid method. Pearson correlation coefficient was employed to assess the strength of the relationship, while paired samples t-test and Bland–Altman plot was used to evaluate the mean difference and the level of agreement between the two methodologies, respectively. Our findings revealed that higher partition sizes enhanced accuracy, reduced integration error, lowered RMSE, and produced estimates highly consistent with reference leaf area, supported by a Pearson correlation coefficient (r) of 0.999 and non?significant t-test results (?>0.05). The Bland–Altman analysis confirmed narrower variability at higher partitions resulting near?perfect agreement, particularly under the Riemann rule. Finally, leaf area estimation using digital image analysis combined with Newton–Cotes algorithms provide accurate, efficient, and reliable results, demonstrating strong agreement, statistical consistency, and practical scalability for leaf analysis.
Co-Authors Afianah, Nuzula Agus Dharmawan Anggita, Silvia Nur Bambang Marhaenanto Dedy Wirawan Soedibyo Hakim, Irham Maulana