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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Teknik Industri SOCA: Jurnal Sosial Ekonomi Pertanian Teknotan: Jurnal Industri Teknologi Pertanian Jurnal Keteknikan Pertanian Jurnal Teknologi Pertanian agriTECH SAINS TANAH - Journal of Soil Science and Agroclimatology Jurnal Otomasi Kontrol dan Instrumentasi Jurnal Penelitian Kelapa Sawit Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) JURNAL PERTANIAN PRESISI (JOURNAL OF PRECISION AGRICULTURE) Jurnal Pusat Inovasi Masyarakat 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 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 Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mechanical Engineering Public Health Social Sciences Transportation Other

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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.
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.
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.
SIMULASI SISTEM MONITORING LENGAS TANAH BERBASIS ADC DAN KENDALI IRIGASI OTOMATIS MENGGUNAKAN METODE HYSTERESIS UNTUK APLIKASI PERTANIAN PRESISI Ardan Wiratmoko; Andri Prima Nugroho; Murtiningrum; Gigieh Henggar Jaya; Saifuddin Afif; Mukhes Sri Muna; Agapetalia Indriyawati; Lilik Sutiarso
Jurnal Pertanian Presisi (Journal of Precision Agriculture) Vol. 10 No. 1 (2026)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/jpp.2026.v10i1.259

Abstract

Penelitian ini bertujuan mensimulasikan sistem monitoring lengas tanah berbasis Analog to Digital Converter (ADC) dan kendali irigasi otomatis menggunakan metode hysteresis untuk aplikasi pertanian presisi. Model simulasi dikembangkan secara komputasional menggunakan Python dengan merepresentasikan alur akuisisi sinyal sensor, penambahan noise, pengondisian sinyal menggunakan filter RC low-pass, konversi analog-ke-digital, estimasi Volumetric Water Content (VWC), serta keputusan aktuasi pompa. Sensor lengas tanah dimodelkan menghasilkan tegangan 0,50–2,50 V yang merepresentasikan 0–60% VWC. Hasil simulasi menunjukkan bahwa ADC 12 bit dengan tegangan referensi 3,30 V menghasilkan resolusi 0,8059 mV/count dan estimasi resolusi lengas tanah sebesar 0,0242% VWC/count. Frekuensi sampling 20,00 Hz memenuhi kriteria Nyquist, sedangkan filter RC mampu menurunkan RMSE dari 197,06 mV menjadi 68,18 mV. Kendali hysteresis dengan ambang ON pada VWC<25% dan OFF pada VWC>38% menghasilkan respons pompa yang stabil dengan duty cycle 15,28% selama simulasi 72 jam. Simulasi ini menunjukkan bahwa integrasi ADC, pengondisian sinyal, dan hysteresis berpotensi menjadi dasar pengembangan sistem irigasi presisi berbasis monitoring lengas tanah.
Mounding technique improves physiological performance and yield of oil palm on Spodosols Suwardi, Suwardi; Sutiarso, Lilik; Wirianata, Herry; Nugroho, Andri Prima; Pradiko, Iput; Ginting, Eko Noviandi; Darlan, Nuzul Hijri; Syarovy, Muhdan; Primananda, Septa; Sukarman, Sukarman
SAINS TANAH - Journal of Soil Science and Agroclimatology Vol 19, No 2 (2022): December
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/stjssa.v19i2.65460

Abstract

Spodosols have been widely used for oil palm plantations, specifically in Kalimantan, Indonesia. However, they are sub-optimal for agriculture due to a lack of water and nutrient-holding capacity and a spodic layer that limits plant root development. Therefore, proper agriculture practices are needed for oil palm to enhance its potential yield. This study aims to determine the effect of the mounding technique on the physiological performance and yield of oil palms in spodosol. The study location was well-managed, with eight blocks of oil palm plantations planted in 2008 on spodosols (Typic Haplohumod) in Central Kalimantan. The mounding technique was applied to four blocks of oil palm planted in 2015, while the remaining four were left without mounding. The parameters observed were soil moisture, transpiration, number of bunches, bunch weight, and yield. The results showed that the average moisture in the mounded soil was 4% greater than the control.  Additionally, the average daily transpiration of oil palm with the mounding was up to 2.30 mm day-1 or three times higher than the control.  The implication was that the average yield of oil palm increased from approximately 1.84 to 3.71 tons ha-1 year-1 compared to no-mounding treatments. Furthermore, the average yield was 19-66% higher than the block without the mounding application.
ANALISIS HUBUNGAN NILAI SPAD DAN INDEKS VEGETASI BERBASIS CITRA MULTISPEKTRAL UNMANNED AERIAL VEHICLE VERTICAL TAKE-OFF AND LANDING (UAV-VTOL) PADA TANAMAN PEPAYA Mutiara Alifia Ramadhanty; Ardan Wiratmoko; Fahmi Arsyad; Andri Prima Nugroho; Lilik Sutiarso; Takashi Okayasu
Jurnal Pertanian Presisi (Journal of Precision Agriculture) Vol. 10 No. 1 (2026)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/jpp.2026.v10i1.261

Abstract

Monitoring kandungan klorofil daun tanaman secara spasial penting dalam pertanian presisi, namun pengukuran konvensional memiliki keterbatasan cakupan dan efisiensi. Penelitian ini bertujuan menganalisis hubungan nilai SPAD dengan tiga indeks vegetasi berbasis citra multispectral (NDVI, GNDVI, NDRE) pada tanaman pepaya (Carica papaya L.) varietas California. Data diperoleh dari citra multispectral UAV dan pengukuran SPAD pada 95 titik sampel di kebun pepaya komersial di Sleman, Yogyakarta. Analisis meliputi evaluasi distribusi data, korelasi Pearson dan Spearman, regresi linear sederhana, serta sensitivitas berdasarkan kemiringan regresi. Hasil menunjukkan nilai SPAD memiliki rentang 18.46–77.78, mencerminkan variabilitas kandungan klorofil tanaman di area penelitian. NDVI mengalami saturasi pada nilai tinggi (skewness = −1.35), sedangkan GNDVI dan NDRE memiliki distribusi lebih normal. Analisis korelasi menunjukkan NDRE memiliki hubungan paling kuat dengan SPAD (r = 0.73; R² = 0.54), diikuti GNDVI (r = 0.72; R² = 0.52) dan NDVI (r = 0.54; R² = 0.29). NDRE juga menghasilkan nilai error prediksi terendah (MAE = 6.42; RMSE = 8.15). Temuan ini menunjukkan bahwa NDRE merupakan indeks vegetasi paling optimal untuk monitoring klorofil tanaman pepaya berbasis citra multispectral UAV, sehingga berpotensi mendukung pengembangan sistem pemantauan nutrisi tanaman dalam kerangka pertanian presisi.
SISTEM KLASIFIKASI KESEHATAN PEPAYA (Carica Papaya L.) MENGGUNAKAN YOLO11x BERBASIS UNMANNED AERIAL VEHICLE VERTICAL TAKE-OFF LANDING Fahmi Arsyad; Ardan Wiratmoko; Mutiara Alifia Ramadhanty; Andri Prima Nugroho; Lilik Sutiarso; Takashi Okayasu
Jurnal Pertanian Presisi (Journal of Precision Agriculture) Vol. 10 No. 1 (2026)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/jpp.2026.v10i1.260

Abstract

Klasifikasi kesehatan tanaman pepaya (Carica papaya L.) merupakan aspek penting dalam mendukung pertanian presisi karena informasi tersebut dapat dimanfaatkan untuk pemantauan kondisi tanaman, estimasi produktivitas, serta pengambilan keputusan manajemen kebun secara tepat. Metode konvensional yang mengandalkan observasi visual masih sering digunakan, tetapi kurang efisien pada skala luas dan berpotensi menimbulkan subjektivitas. Penelitian ini mengembangkan sistem klasifikasi kesehatan tanaman berbasis computer vision menggunakan algoritma deep learning YOLOv11 yang dilatih dari citra udara beresolusi tinggi hasil akuisisi UAV VTOL. Tahapan penelitian meliputi pengambilan data citra, pembuatan orthomosaic, segmentasi area of interest, tiling, anotasi ke dalam tiga kelas kesehatan yaitu Normal, Moderate, dan Abnormal, serta augmentasi hingga diperoleh 541 citra. Model dilatih selama 100 epoch dengan ukuran citra 1024 × 1024 piksel dan dievaluasi menggunakan precision, recall, F1-score, serta mean Average Precision. Hasil evaluasi menunjukkan bahwa model mencapai precision 0,801, recall 0,821, F1-score 0,811, dan mAP50 0,854 yang mengindikasikan kinerja yang baik. Meskipun demikian, kelas Moderate masih menjadi keterbatasan karena kemiripan karakteristik visual dengan kelas lainnya. Sistem ini mampu menghasilkan visualisasi distribusi spasial kesehatan tanaman yang informatif untuk mendukung implementasi pertanian presisi.
Co-Authors Abadi Jading Agapetalia Indriyawati Agus Harjoko Andi Muh. Saldan Andreas Wahyu Krisdiarto Andri Prima Nugroho Ardan Wiratmoko Arief Abdurrakhman Bambang Purwantana Budi Rahardjo Dhian Herdhiansyah Didik Purwadi Didik Purwadi Dyah Ismoyowati, Dyah Dyah Susilokarti Dyah Susilokarti Eko Noviandi Ginting, Eko Noviandi Endang Sutriswati Rahayu Erniati Erniati Evi Masithoh, Rudiati Fahmi Arsyad Ferlando Jubelito Simanungkalit Ferlando Jubelito Simanungkalit Gigieh Henggar Jaya 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 Mukhes Sri Muna Murtiningrum Mutiara Alifia Ramadhanty Ngadisih Ngadisih Nihayah, Badiatun Nursigit Bintoro Nuzul Hijri Darlan Pradiko, Iput Prieskarinda Lestari Prima Nugroho, Andri Primananda, Septa Putu Sudira Putu Sudira Putu Sudira Radi Radi Radi Radi Rahmat Abadi, Farid Rudiati Evi Masithoh S Sumiyati Sahid Susanto Sahid Susanto Saifuddin Afif Saldan, Andi Muh. SIGIT SUPADMO ARIF Sri Markumningsih, Sri Sri Rahayoe Sukarman Sukarman Sumiyati, S Suwardi Suwardi T Taryono T Taryono, T Takashi Okayasu Wawan Saputra Wirianata, Herry Zahra, Aryanis Mutia