Article Per Year (5 Year)
p-Index From 2021 - 2026
1.723
P-Index
This Author published in this journals
All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Teknik Industri SOCA: Jurnal Sosial Ekonomi Pertanian Teknotan: Jurnal Industri Teknologi Pertanian BIOTROPIA - The Southeast Asian Journal of Tropical Biology Jurnal Keteknikan Pertanian Jurnal Teknologi Pertanian agriTECH Jurnal Otomasi Kontrol dan Instrumentasi Jurnal Penelitian Kelapa Sawit Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Jurnal Pusat Inovasi Masyarakat Journal of Agricultural and Biosystem Engineering Research Makara Journal of Technology Jurnal Teknik Sipil Aceh International Journal of Science and Technology Inovasi Jurnal Pengabdian Masyarakat (IJPM)
Lilik Sutiarso
Universitas Gadjah Mada
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Transportation Veterinary Other

Published : 27 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 27 Documents
Search

 1   2   3 
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.
Analisis Dinamika Vapor Pressure Deficit pada Lingkungan Mikroklimat Padi Sawah Terbuka Berbasis Smart Automatic Weather Station Tipe Ultrasonik Wiratmoko, Ardan; Nugroho, Andri Prima; Afif, Saifuddin; Arsyad, Fahmi; Ramadhanty, Mutiara Alifia; Sutiarso, Lilik
Journal of Agricultural and Biosystem Engineering Research Vol 6 No 2 (2025): Journal of Agricultural and Biosystem Engineering Research: Regular Issue
Publisher : Program Studi Teknik Pertanian, Fakultas Pertanian, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jaber.2025.6.2.19697

Abstract

Produksi padi sawah terbuka sangat dipengaruhi oleh dinamika mikroklimat yang mempengaruhi proses transpirasi, keseimbangan energi–air kanopi, serta efisiensi penggunaan air tanaman, sehingga analisis Vapor Pressure Deficit (VPD) menjadi aspek kunci dalam pengelolaan irigasi presisi berbasis data. Meskipun teknologi pemantauan mikroklimat berbasis Automatic Weather Station telah berkembang, integrasi pengukuran resolusi temporal tinggi dengan analisis dinamika, hubungan antarvariabel, distribusi harian, serta klasifikasi kondisi atmosfer berbasis clustering VPD pada sistem budidaya padi sawah terbuka masih terbatas. Penelitian ini bertujuan menganalisis dinamika VPD menggunakan Smart Automatic Weather Station tipe ultrasonik melalui karakterisasi parameter mikroklimat, analisis temporal, korelasi linier, visualisasi heatmap, dan pengelompokan kondisi atmosfer. Hasil menunjukkan lingkungan mikroklimat lembap dengan suhu rata-rata 27,19 °C, kelembaban relatif 88,81%, dan VPD rata-rata 0,46 kPa dalam rentang 0,01–1,79 kPa yang didominasi defisit uap rendah hingga sedang. VPD dikendalikan kuat oleh suhu udara (r ≈ 0,96) dan kelembaban relatif (r ≈ −1,00), serta meningkat konsisten pada periode radiasi maksimum harian yang merepresentasikan fase kebutuhan air tanaman tertinggi. Analisis clustering mengidentifikasi dominasi defisit uap rendah (53,67%), diikuti defisit tinggi (28,32%) dan sedang (18,01%), yang menunjukkan variabilitas atmosfer signifikan terhadap dinamika transpirasi dan kebutuhan air tanaman. Hasil penelitian ini menunjukkan bahwa integrasi pemantauan mikroklimat berbasis sensor ultrasonik dengan analisis dinamika dan klasifikasi VPD memberkan indikator operasional baru untuk mendukung irigasi presisi, mitigasi stres atmosfer, serta pengembangan smart farming berbasis data pada budidaya padi sawah terbuka di wilayah tropis.
Penerapan Biodigester Untuk Pengolahan Air Limbah Industri Tapioka Berbasis Pemberdayaan Masyarakat Berkelanjutan di Rumah Produksi Pangan Selopamioro, Yogyakarta Sutiarso, Lilik; Karyadi, Joko Nugroho Wahyu; Masithoh, Rudiati Evi; Ngadisih, Ngadisih; Radi, Radi; Nugroho, Andri Prima; Hajad, Makbul; Zahra, Aryanis Mutia; Lestari, Prieskarinda
Jurnal Pusat Inovasi Masyarakat Vol. 5 No. 1 (2023): April 2023
Publisher : Direktorat Pengembangan Masyarakat Agromaritim, Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpim.5.1.43-60

Abstract

Singkong merupakan salah satu komoditas unggulan di Desa Selopamioro, Kecamatan Imogiri, Kabupaten Bantul, Daerah Istimewa Yogyakarta. Produktivitas singkong di Desa Selopamioro cukup tinggi mencapai 2,75 ton/ha dengan luas total lahan 415 ha. Namun, potensi besar komoditas singkong tersebut masih menghadapi berbagai tantangan dari sektor petani, produksi, kualitas, rendahnya harga jual, hingga terbatasnya akses pemasaran. Pengolahan singkong menjadi tepung singkong termodifikasi (modified cassava flour, mocaf) dan olahan pangannya merupakan inovasi yang telah diterapkan di rumah produksi pangan (RPP) Selopamioro untuk meningkatkan nilai tambah singkong dan diversifikasi produknya. RPP Selopamioro juga dikelola bersama oleh kelompok petani. Namun, proses pembuatan mocaf menghasilkan air limbah sehingga menyebabkan permasalahan bau tidak sedap di masyarakat dan mencemari lingkungan karena belum diolah secara tepat. Air limbah mocaf bersifat asam dan tinggi kandungan bahan organik. Kegiatan pemberdayaan masyarakat ini bertujuan untuk mengatasi permasalahan bau akibat air limbah mocaf di masyarakat, penerapan biodigester sebagai teknologi pengolahan limbah berkelanjutan, menjadikan RPP Selopamioro sebagai sentra transfer pengetahuan pengolahan pangan berwawasan lingkungan, implementasi model pemberdayaan masyarakat berkelanjutan. Kegiatan dilaksanakan pada Juli – September 2022 dengan monitoring berkala. Implementasi biodigester mampu mengolah air limbah mocaf dengan persentase penyisihan BOD, COD, TDS, sianida, total amonia masing-masing berkisar 97,47; 96,53; 12,94; 93,75; 97,17%, dan meningkatkan DO hingga 614,29%. Hal ini sekaligus menyelesaikan permasalahan bau tidak sedap karena air limbah mocaf sudah terolah dengan tepat dan tidak ada lagi keluhan dari masyarakat. Hasil pelaksanaan kegiatan juga telah mampu mengimplementasikan model pemberdayaan masyarakat berkelanjutan dan mewujudkan sentra pengolahan produk pangan lokal berwawasan lingkungan.
Co-Authors Abadi Jading Abadi, Farid R Afif, Saifuddin Agus Harjoko Andi Muh. Saldan Andreas Wahyu Krisdiarto Andri Prima Nugroho Arief Abdurrakhman Arsyad, Fahmi Bambang Purwantana Budi Rahardjo Dhian Herdhiansyah Didik Purwadi Didik Purwadi Dyah Ismoyowati, Dyah Dyah Susilokarti Dyah Susilokarti Endang Sutriswati Rahayu Erniati Erniati Evi Masithoh, Rudiati Ferlando Jubelito Simanungkalit Ferlando Jubelito Simanungkalit Hajad, Makbul Hapsari, Umi Hijri Darlan, Nuzul I WAYAN WINDIA Irawadi, Irawadi Islam, Md Parvez Joko Nugroho Wahyu Karyadi Joko Nugroho Wahyu Karyadi Juanda Juanda Krisdiarto, Andreas Wahyu Makhmudun Ainuri Mirwan Ushada Moch Maksum Muhammad Luthfi Muhdan Syarovy Ngadisih Ngadisih Nihayah, Badiatun Nursigit Bintoro Pradiko, Iput Prieskarinda Lestari Prima Nugroho, Andri Primananda, Septa Putu Sudira Putu Sudira Putu Sudira Radi Radi Radi Radi Rahmat Abadi, Farid Ramadhanty, Mutiara Alifia Rudiati Evi Masithoh S Sumiyati Sahid Susanto Sahid Susanto Saldan, Andi Muh. SIGIT SUPADMO ARIF Sri Markumningsih, Sri Sri Rahayoe Sukarman Sukarman Sumiyati, S Suwardi Suwardi T Taryono T Taryono, T Wawan Saputra Wiratmoko, Ardan Wirianata, Herry Zahra, Aryanis Mutia