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Hilirisasi Teknologi Sistem Integrasi Tanaman Ternak Ikan (SITTI) Menggunakan Pendekatan Konsep Bio economy, Green Economy, Circular Economy (BGC Economy) Hapsari, Umi; Nihayah, Badiatun; Sutiarso, Lilik; Rahayu, Endang Sutriswati; Purwadi, Didik; Saputra, Wawan
Inovasi Jurnal Pengabdian Masyarakat Vol 2 No 2 (2024): IJPM - Agustus 2024
Publisher : CV Firmos

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54082/ijpm.538

Abstract

Sistem Integrasi Tanaman Ternak Ikan (SITTI) merupakan bentuk integrasi yang saling berkaitan dan memberikan respon positif berupa aliran material dan energi. Teknologi SITTI dinilai mampu menyelesaikan permasalahan yang dihadapi masyarakat di Desa Sriharjo apabila disinergikan dengan konsep BGC Economy yaitu bio economy, green economy dan circular economy. Tujuan pemberdayaan masyarakat melalui penerapan SITTI adalah meningkatkan produktivitas hasil, memberikan nilai tambah pada aspek ekonomi, sosial, dan meningkatkan daya saing produknya, serta efisiensi penggunaan sumberdaya alam dengan meminimalkan limbah dari proses produksi (zero waste) sehingga menghasilkan lingkungan yang lestari dan berkelanjutan. Kegiatan ini dilaksanakan di Desa Sriharjo, Kecamatan Imogiri, Kabupaten Bantul, Yogyakarta dengan sasaran ditujukan kepada kelompok karang taruna tani dan kelompok wanita tani(KWT). Penerapan teknologi SITTI yang terdiri dari subsistem tanaman hortikultura, ternak ayam, budidaya ikan dan budidaya Black Slodier Fly mampu i) meningkatkan produktivitas hasil (prinsip bioeconomy & circular economy) yaitu adanya hasil dari budidaya ayam petelur, ikan lele, tanaman hortikultura dan maggot, ii) memberikan nilai tambah pada aspek ekonomi sosial, dan meningkatkan daya saing produk, setelah dilakukan perhitungan diperoleh nilai BC ratio sebesar 1,73, iii) efisiensi penggunaan sumberdaya alam dengan meminimalkan limbah dari proses produksi (zero waste) dengan memanfaatkan larva maggot BFS untuk mengurai limbah organik menjadi pupuk (prinsip green economy).
Comparison of HSV-color and ANN-HSV-color segmentation for detecting soybean adulteration Rahmat Abadi, Farid; Evi Masithoh, Rudiati; Sutiarso, Lilik; Rahayoe, Sri
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 5: October 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i5.pp3734-3743

Abstract

Soybeans are an important food crop, but their quality is often compromised by contamination with other materials, a process known as adulteration. Conventional methods for detecting adulteration are slow; therefore, there is a need for rapid and non-invasive alternatives. This study aimed to assess the capability of hue-saturation-value (HSV) color segmentation and its combination with artificial neural networks (ANN) to identify adulteration in soybean samples. This research employed image processing and machine learning to segment soybeans mixed with adulterants at concentrations of 5%, 10%, 15%, 20%, and 25%. The HSV method successfully distinguished soybeans and other materials, but some challenges were observed in shadow regions and areas with similar colors. The HSV-ANN model with six hidden layers performed well with a calibration accuracy of R² value of 0.97 and root-mean-square error (RMSE) of 2.16%, which provided more detailed segmentation, although it still had some problems in shadow regions and undetected corn embryo parts. The validation results indicated that the HSV model had an R² value of 0.98 and RMSE of 4.48%, while the HSV-ANN model had an R² value of 0.96 and RMSE of 1.3%. Both models were capable of predicting the levels of adulteration, and the HSV-ANN model proved to be more accurate. It is concluded that both methods are efficient; however, there is a need for more work on modeling and sampling to increase the segmentation precision and decrease the biases, especially in the shadow and overlapped color.
Redesign and Performance Test of Liquid Fertilizer Based on Variable Rate Application on Chili Cultivation Saldan, Andi Muh.; Radi, Radi; Purwantana, Bambang; Sutiarso, Lilik
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 13 No. 2 (2024): June 2024
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v13i2.339-349

Abstract

Liquid fertilizer applicator based on Variable Rate Application (VRA) is a technology that is used to fertilize in a controlled and precise manner. This study aims to improve the effectiveness and efficiency of the fertilization process of chili plants. The development carried out is esp32 cam which serves to detect chili plants that lack elements. The method used is input of the nutritional needs of chili plants, spray doses of each plant, and a microcontroller to control applicator components such as sprayer pumps, selenoid valve, and esp32 cam. In this liquid fertilizer applicator there are 2 pipes, each pipe has 4 nozzles. The results of laboratory tests show that the discharge of liquid fertilizer sprayed follows the input results of the nutritional needs of chili plants. The discharge released on the PWM sprayer motor varies from 40 to 100% resulting in very different discharge variations in each PWM spray. The efficiency of this VRA-based liquid fertilizer applicator reaches 87% or an increase of about 14.7% from the applicator before development. Regression analysis of dimmer level to spraying discharge showed a function y = 6.3016x + 18.937 with an R 2 of 0.9921. While the regression analysis of the dimmer level of the applicator speed obtained the function y = 94.075x + 20.203 with an R2 of 0.9936. Keywords: Chili plants, Liquid, Fertilizer, Applicator, VRA.
Penguatan Kebijakan Pengelolaan Daerah Aliran Sungai (DAS) Studi Kasus : DPS Logawa, Kabupaten Banyumas Irawadi, Irawadi; Supadmo Arif, Sigit; Susanto, Sahid; Sutiarso, Lilik
Jurnal Teknik Sipil Vol. 16 No. 1 (2023): Juni 2023
Publisher : Faculty Of Engineering University 17 August 1945 Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56444/jts.v16i1.753

Abstract

Asas good water resources governance baru akan dapat tercapai apabila pengelolaan Daerah Aliran Sungai (DAS) dilakukan melalui suatu perencanaan yang utuh dan terpadu (hulu, tengah, hilir), menyeluruh (antar dan lintas sektor), berkelanjutan dan berbasis kelestarian lingkungannya, mencakup aspek teknis, aspek asas legalitas yang kuat dan mengikat bagi seluruh pemangku kepentingan, aspek tata kelola pemerintahan desentralisasi yang berlaku; dan aspek masyarakat dan pihak swasta yang terlibat dalam pemanfaatan DAS serta aspek kontrol, transparansi, akuntabilitas hasil yang dilakukan mulai dari tahap perencanaan sampai pelaksanaan pengelolaan. Pendekatan penelitian yang digunakan adalah pendekatan pengumpulan data yang luas dan banyak mengenai pengelolaan DAS hasil Diskusi FGD Pemangku Kepentingan, sedang evaluasi kebijakan pengelolaan DAS dilakukan dengan menggunakan Analisis SWOT (Strength, Weakness, Opportunity dan Threat). Hasil dari penelitian ini adalah bahwa Kebijakan Pengelolaan DAS secara terpadu dan berkelanjutan perlu dikuatkan melalui : (1) Meningkatkan hermonisasi dan sinkronisasi peraturan perundang-undangan pengelolaan DAS; (2) Mewujudkan pembentukan Forum DAS dan komitmen bersama antar stakeholders; (3) Mewujudkan adanya partisipasi masyarakat dan dunia usaha dalam pengelolaan DAS dan (4) Mewujudkan Pemahaman Bersama tentang Pengelolaan DAS.
EVALUATION OF INDONESIAN LOCAL SOYBEAN BASED ON CHEMICAL CHARACTERISTICS AND VISIBLE - NEAR INFRARED SPECTRA WITH CHEMOMETRICS Masithoh, Rudiati Evi; Abadi, Farid R; Sutiarso, Lilik; Rahayoe, Sri
BIOTROPIA Vol. 31 No. 1 (2024): BIOTROPIA Vol. 31 No. 1 April 2024
Publisher : SEAMEO BIOTROP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11598/btb.2024.31.1.2054

Abstract

Soybean characterization is essential to ensure product quality during distribution according to internal values. In this context, non-destructive characterization method, such as spectroscopy, offer an effective and efficient approach to testing soybean quality in field applications. Among the instruments that are widely used for testing soybean quality, the semi-portable visible near-infrared (Vis-NIR) spectrometer operating at a specific range of 345 to 1033 nm has been proven effective. Therefore, this study aimed to investigate soybean seeds characterization using Vis-NIR spectroscopy with PCA and PLSR chemometric methods. The investigation was carried out using soybean seeds consisting of eight varieties locally produced on Java Island, Indonesia, including Dega1, Dena1, Deja2, Dering1, Devon1, Yellow Flap, Green, and Detam4, in the form of intact, crumble, flour, and paste. Several quality parameters such as protein, fat, crude fiber, carbohydrate, ash, water, chlorophyll, total carotene, vitamin C, and L*, a*, and b* values were measured across intact, crumble, flour, and paste samples. The results of Principal Component Analysis (PCA) showed that sample form and genotypes affected soybean classification. Furthermore, Partial Least Squares Regression (PLSR) showed adequate model calibration for crude fiber, chlorophyll, total carotene, and vitamin C parameters. Based on this analysis, it could be concluded that Vis-NIR spectroscopy proved to be suitable for the classification and prediction of soybean characterization.
Perancangan Sistem Kontrol Tekanan Pada Reaktor Biogas Berbasis PID Controller dengan Ziegler-Nichols dan Auto Tuning PSO Abdurrakhman, Arief; Sutiarso, Lilik; Ainuri, Makhmudun; Ushada, Mirwan; Islam, Md Parvez
Jurnal Otomasi Kontrol dan Instrumentasi Vol 16 No 2 (2024): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2024.16.2.5

Abstract

Biogas, an eco-friendly energy source, significantly reduces greenhouse gas emissions by converting organic waste or biomass into methane. However, the quality of biogas, primarily determined by methane content and pressure variables, directly impacts its efficiency and safety. This study, which aims to design a pressure control system and monitor methane gas levels in a biogas reactor using a PID Controller with Particle Swarm Optimization (PSO), provides crucial insights into improving biogas production efficiency and safety. Tests were conducted on a fixed dome-type biogas reactor in the East Java region, Indonesia. The PSO-based PID tuning was compared with two other PID tuning methods: Trial-error and Ziegler-Nichols (ZN). Data on pressure values and biogas flow rates from the biogas reactor were collected, and system modeling was carried out to produce a system transfer function. The PSO algorithm was developed to optimize PID control parameters. The results of this research demonstrate that the PID tuning method using PSO produces a stable state error value of 1.40%, rise time of 0.09 s, settling time of 2.1 s, maximum overshoot of 0.986404, and ITAE of 0.0010801. The implementation of PID-PSO can significantly enhance PID control performance in rise time, settling time, maximum overshoot, and ITAE compared to Trial-Error and ZN, while the stable state error value in PID-PSO tuning is higher than tuning using Trial-Error and ZN.