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All Journal HAYATI Journal of Biosciences Jurnal Keteknikan Pertanian TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmu Komputer dan Agri-Informatika Jurnal Keteknikan Pertanian Tropis dan Biosistem Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Jurnal Ilmiah Rekayasa Pertanian dan Biosistem Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Indonesian Journal of Electrical Engineering and Computer Science ALACRITY : Journal Of Education
Mohamad Solahudin
Department Of Mechanical And Biosystem Engineering, Faculty Of Agricultural Engineering And Technology, IPB University, Bogor, Indonesia
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Mechanical Engineering Other

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ASPEK LINGKUNGAN DAN PRODUKTIVITAS AYAM BROILER PADA SISTEM TRANSPORTASI TERTUTUP DAN KONVENSIONAL Kiswanto S. Heri; Alvin Fatikhunnada; Mohamad Solahudin
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol. 4 No. 2 (2014): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.4.2.161

Abstract

Population of broiler chicken increase continuously every year. This situation indicated broiler farm in Indonesia has been transformed as a poultry industry. Broiler farm concentrated in one place far from human to anticipate the potency of air pollution. Transportations are used to mobilize broiler from farm to slaughter house or market. The transportation should consider the condition of broiler and environment to minimize the air pollution and negative effect in broiler performance. This research was aimed to evaluate effect of covered and conventional transportation system on environmental aspect and broiler performance. Sixty broilers was used in this research and divided into two treatments. Data was analyzed by t-Test with α 0.05. The result indicated that covered system better to reduce the potency of ammonia pollution than conventional system. Weight loss of broiler transported with covered system significantly lower (P<0.05) than conventional system. There were no mortality both in conventional and covered system. Distribution of temperature in covered system was significantly lower (P<0.05) than conventional system. Covered system, poultry transportation system based on animal welfare aspect showed lower in vocalization than conventional system.Keywords: broiler, ammonia, environment, productivity
Weed Detection Using Fractal-Based Low Cost Commodity Hardware Raspberry Pi Mohamad Iqbal Suriansyah; Heru Sukoco; Mohamad Solahudin
Indonesian Journal of Electrical Engineering and Computer Science Vol 2, No 2: May 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v2.i2.pp426-430

Abstract

Conventional weed control system is usually used by spraying herbicides uniformly throughout the land. Excessive use of herbicides on an ongoing basis can produce chemical waste that is harmful to plants and soil. The application of precision agriculture farming in the detection process in order to control weeds using Computer Vision On Farm becomes interesting, but it still has some problems due to computer size and power consumption. Raspberry Pi is one of the minicomputer with low price and low power consumption. Having computing like a desktop computer with the open source Linux operating system can be used for image processing and weed fractal dimension processing using OpenCV library and C programming. This research results the best fractal computation time when performing the image with dimension size of 128 x 128 pixels. It is about 7 milliseconds. Furthermore, the average speed ratio between personal computer and Raspberry Pi is 0.04 times faster. The use of Raspberry Pi is cost and power consumption efficient compared to personal computer.
VAPOR HEAT TREATMENT AND ITS EFFECT ON MELON (Cucumis melo L.) QUALITIES DURING STORAGE Michael Alexander Hutabarat; Rokhani Hasbullah; Mohamad Solahudin
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 8, No 2 (2019): Juni
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1949.597 KB) | DOI: 10.23960/jtep-l.v8i2.65-75

Abstract

Melon is very popular among Indonesians because of its sweet taste and rich in nutrients and also very potential as export comodities. Every export comodities including melon need proper handlings of quarantine to disinfestation pests / diseases. One of quarantine technique which is appliable for melon is vapor heat treatment (VHT). Aims of this research are to make a simulation of heat distribution during VHT process inside melons, to observe VHT technique effects on melon qualities during storage, and to determine the optimum time of VHT process for melon. Finite difference method is used in designing the simulation using Visual Basic 6.0. To observe melon qualities, this research used complete randomized design (CRD) with 4 level of treatment based on VHT process duration which was 10 minutes, 20 minutes, 30 minutes and control every 4 days for 24 days. The result showed that finite difference method can be used for simulating heat distribution inside melon during VHT with coefficient determination (R2) value of 0.9903. Beside that, the result also showed that there were no signifficant difference between each treatments. Based on these results, VHT with 46.5oC temperature and 10 minutes duration time   considered as the best treatment.
Pertumbuhan dan Efisiensi Penggunaan Energi pada Budidaya Selada dalam Plant factory dengan Beberapa Perlakuan Fotoperiode Slamet Widodo; Fuad Heru Setiawan; Mohamad Solahudin; Lilis Sucahyo
Jurnal Keteknikan Pertanian Tropis dan Biosistem Vol 10, No 2 (2022)
Publisher : Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jkptb.2022.010.02.08

Abstract

Cahaya merupakan faktor penting bagi pertumbuhan dan perkembangan tanaman. Elemen penting dari pencahayaan meliputi kualitas (spektrum cahaya) dan kuantitas (intensitas dan lama penyinaran/fotoperiode). Penelitian ini bertujuan untuk mengamati pertumbuhan dan efisiensi penggunaan energi pada selada yang dibudidayakan secara hidroponik dalam plant factory dengan beberapa perlakuan fotoperiode. Selada dibudidayakan secara hidroponik dengan sistem Deep Flow Technique (DFT) dengan beberapa perlakuan fotoperiode (terang/gelap) yaitu 24/0 jam, 18/6 jam, dan 12/12 jam. Untuk perlakuan 18/6 jam sendiri diberikan dalam beberapa siklus terang/gelap berbeda yaitu 18/6 jam (1 siklus), 9/3 jam (2 siklus), 6/2 (3 siklus), dan 3/1 jam (6 siklus). Hasil pengamatan meunjukkan bahwa perlakuan 24/0 jam menghasilkan pertumbuhan dan hasil panen yang paling baik di antara perlakuan lainnya pada semua parameter pertumbuhan yang diamati. Dari efisiensi penggunaan energi, perlakuan 18/6 jam (1 siklus) dan 6/2 jam (3 siklus) memberikan hasil lebih baik dibandingkan perlakuan 24/0 jam. Hasil yang diperoleh ini bisa menjadi alternatif strategi penerapan pencahayaan buatan untuk memperoleh kondisi yang optimum baik dari sisi pertumbuhan dan efisiensi penggunaan energi.
KAJIAN SISTEM HIDROPONIK MENGGUNAKAN ULTRASONIC ATOMIZER UNTUK PEMBIBITAN TSS (TRUE SHALLOT SEED) BAWANG MERAH Lilis Sucahyo; Mohamad Solahudin; Shandra Amarillis
Jurnal Ilmiah Rekayasa Pertanian dan Biosistem Vol 11 No 1 (2023): Jurnal Ilmiah Rekayasa Pertanian dan Biosistem
Publisher : Fakultas Teknologi Pangan & Agroindustri (Fatepa) Universitas Mataram dan Perhimpunan Teknik Pertanian (PERTETA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (534.911 KB) | DOI: 10.29303/jrpb.v11i1.488

Abstract

TSS (True Shallot Seed) merupakan benih botani alternatif selain umbi yang sangat potensial untuk digunakan dalam proses budidaya bawang merah. Proses pembibitan di petani umumnya menggunakan metode tebar langsung pada lahan dengan tingkat persentase tumbuh yang rendah. Hal tersebut menjadi permasalahan dalam penerapan TSS di lapangan. Penelitian ini bertujuan untuk melakukan studi pembibitan benih TSS menggunakan metode hidroponik, khususnya sistem aeroponik dengan modul ultrasonic atomizer sebagai pengabutan larutan nutrisi. Percobaan menggunakan 3 jenis varietas TSS yaitu Lokananta, Tuktuk dan Sanren. Proses penyemaian bibit dilakukan selama 7 minggu pada ruangan dengan kisaran suhu 23,5-29 oC serta kelembapan relatif sebesar 54,1-75,7 %. Penyinaran fotosintesis menggunakan cahaya LED White dengan nilai photosynthetic photon flux density (PPFD) rata-rata sebesar144 mmol/m2/s. Diperolah hasil performa performa pengabutan ultrasonic atomizer sebesar 89,71 % pada konsentrasi larutan nutrisi 135-1.048 ppm. Sistem aeropnik mampu menghasilkan bibit bawang merah TSS dengan performa keberhasilan pembibitan rata-rata sebesar 89,29 %. Varietas Lokananta, Tuktuk dan Sanren secara berurutan memiliki tinggi tanaman rata-rata sebesar 32 ± 3,61 cm, 34,47 ± 4,52 cm dan 30,2 ± 3,53 cm dengan jumlah daun rata-rata sebanyak 4,07 helai, 4,33 helai dan 4,01 helai. Keragaan tanaman tersebut sesuai dengan kriteria bibit TSS bawang merah. Penggunaan TSS dapat menjadi alternatif penyediaan bibit berkualitas untuk petani bawang merah di Indonesia.  
Optimal sensor location for adaptive control system in tropical smart greenhouse Folkes Eduard Laumal; Herry Suhardiyanto; Mohamad Solahudin; Slamet Widodo
Indonesian Journal of Electrical Engineering and Computer Science Vol 30, No 3: June 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v30.i3.pp1449-1457

Abstract

The uniform control in greenhouse with technology capabilities is seemingly still difficult to be obtained due to the accuracy uncertainty of the data in certain locations. Considering this case, it is highly necessary to choose the right location for the sensor installation. This study aimed to determine sensor placement locations to support precision control activities, using an arch-type smart greenhouse measuring 8×24 m2 as the research location. Air temperature was calculated from 12 locations and analyzed for all possible combinations to designate the best sensor point according to the number of sensors. The analysis was conducted using the error-based method to ascertain the number and location of sensors that represent the smart greenhouse. The best location and number of sensors are identified with performance value under 10% and recommended for developing an adaptive control system.
Sistem Pakar Berbasis Android untuk Identifikasi Jenis Gulma pada Budidaya Tanaman Kedelai Mohamad Solahudin; Giska Priaji
Jurnal Keteknikan Pertanian Vol. 9 No. 3 (2021): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.09.3.87-94

Abstract

Salah satu kendala yang sering terjadi pada kegiatan budidaya kedelai adalah masalah gulma yang berpotensi menurunkan produktivitas. Sehingga diperlukan sistem pakar yang dapat mewakili pengetahuan mengenai identifikasi jenis gulma agar petani dapat memutuskan pengendalian yang tepat. Penelitian ini bertujuan membuat sistem pakar berbasis android offline untuk identifikasi jenis gulma pada budidaya tanaman kedelai berdasarkan informasi morfologi dan menentukan saran pengendalian gulma yang tepat. Metode forward chaining digunakan sebagai pengembangan mesin inferensi yang digunakan utuk memutuskan kesimpulan sistem pakar. Sistem pakar identifikasi jenis gulma yang dibangun berisi informasi jenis gulma, informasi pengelompokan gulma, informasi herbisida, takaran herbisida, dan galeri kegiatan pengendalian gulma. Ukuran aplikasi sebesar 6.97 Megabytes (Mb) dan berjalan tanpa koneksi internet. Pengujian aplikasi dapat berjalan dengan baik dengan akurasi identifikasi jenis gulma mencapai 87.5%.
The Effect of Different Hydroponic Types and Nutrient Concentrations on the Chemical Composition and Antioxidant Capacity of Purwoceng (Pimpinella pruatjan) Extract Irmanida Batubara; Shadila Fira Asoka; Eni Sumarni; Herry Suhardiyanto; Mohamad Solahudin; Slamet Widodo; Supriyanto; Eti Rohaeti; Yudiwanti; Folkes Laumal; Erniati
HAYATI Journal of Biosciences Vol. 30 No. 5 (2023): September 2023
Publisher : Bogor Agricultural University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.4308/hjb.30.5.985-994

Abstract

Purwoceng (Pimpinella pruatjan) is an Indonesian native plant but difficult to cultivate. Hydroponics can be used as a solution for purwoceng cultivation. Hydroponic types and nutrient concentrations can affect purwoceng’s productivity. This study aimed to determine total phenolic content (TPC) and total flavonoid content (TFC), changes in steroid, and antioxidant capacity due to two hydroponic types (nonrecirculating and recirculating drip) and three nutrient concentrations (1,000, 1,500, and 2,000 ppm). Purwoceng was determined for its moisture content, ash content, and dry weight, and extracted with ethyl acetate for gas chromatography-mass spectrometry analysis and with ethanol for TPC, TFC, and antioxidant capacity. The data were analyzed statistically and grouped using principal component analysis (PCA) and heat map analysis (HMA). Nonrecirculating drip with high nutrient concentration at the aerial part was the best treatment to produce high TPC, TFC, and antioxidant capacity. There were no significant changes in steroid content. PCA showed that purwoceng extracts could be grouped in to two groups, i.e. aerial and root groups. HMA showed that purwoceng extracts could be distinguished from the abundance of palmitic acid and stigmasterol. The antioxidant capacity of purwoceng was directly proportional to the TPC value and also related to the presence of phytol, stigmasterol, and palmitic acid.
Exergoeconomic Analysis of Integrated Rice Mill Systems with Gasifiers Omil Charmyn Chatib; I Wayan Budiastra; Mohamad Solahudin; Y. Aris Purwanto; Leopold Oscar Nelwan
Jurnal Keteknikan Pertanian Vol. 11 No. 2 (2023): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.011.2.128-137

Abstract

Applying the concept of utilizing rice mill waste as an energy source can support the increase in the productivity of renewable energy. The exergonomic concept can be used as one of the steps to see opportunities for husks to be used as an energy booster in a rice mill system that has been integrated with a gasifier. Specific Exergy Cost (SPECO) is used as the method, that combines exergy and economic analysis by applying the cost concept to the thermal system. Based on the analysis results, gas producers can replace diesel fuel in small-sized rice mill systems. Compared with these inputs, husks and energy products from the gasifier can produce nearly 6 and 4 times the exergy, respectively. In addition, gas utilization producers can also reduce fuel expenditure costs by up to 84.67%.
Effect of Preprocessing and Augmentation Process in Development of a Deep Learning Model for Fusarium Detection in Shallots Yuvicko Gerhaen Purwansya; Mohamad Solahudin; Supriyanto Supriyanto
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.v13i2.350-360

Abstract

As the demand for shallot increases, wide-scale cultivation area must be managed efficiently. However, shallot productivity decreases every year because of plant diseases. Fusarium disease has an intensity up to 60% and can affect yield losses up to 50%. This study was conducted to develop the fusarium disease detection system for shallot using deep learning model and analyze the effect of preprocessing and augmentation adjustment. This study used YOLOv5 deep learning algorithm consisting of the following stages: (1) dataset acquisition, (2) dataset annotation, (3) dataset preprocessing and augmentation, (4) dataset training and validation, and (5) model testing and evaluation. A total 9,664 annotated dataset was trained to YOLOv5m pre-trained weights. Based on testing and evaluation results, precision, recall, and mean average precision (mAP) metrics of the model without preprocessing and augmentation were 55.5%; 54%; and 48.3% respectively. Metric values of the model were increased to 57.6%; 58.4%; and 54.1% respectively with adjustment of preprocessing and augmentation combination process. Percentage increase in metrics when compared to the control model for each value of precision, recall, and mAP were 2.1%; 4.4%; and 5.8%. This shows a significant impact on the addition of preprocessing and augmentation processes that match the characteristics of the dataset to increase the value of model performance. Keywords: Augmentation, Deep learning, Fusarium, Shallot.
Co-Authors Afdhalul Ahmar Agus Buono Alvin Fatikhunnada Alvin Fatikhunnada Eni Sumarni Eni Sumarni Erniati Erniati Erniati Eti Rohaeti Eti Rohaeti Fadilah Khairani Fahrezi, Rafli Arya Febri Hasskavendo Fenry Winna Mutawally Folkes Eduard Laumal Folkes Laumal Folkes Laumal Folkes Laumal Fuad Heru Setiawan Giska Priaji Gumilang Agus Gozali Herry Suhardiyanto Heru Sukoco I Wayan Astika I Wayan Budiastra Ihsan, Mahlil Nurul Irmanida Batubara Jayawarsa, A.A. Ketut Kahfi Gunardi Kania Dewi, Kania Karlisa Priandana Khoirul Umam Kiswanto S. Heri Kudang Boro Seminar Lilis Sucahyo Liyantono . Medria Kusuma Dewi Hardhienata Michael Alexander Hutabarat Mohamad Iqbal Suriansyah Mohamad Yanuar Jawardi Purwanto Muhammad Naufal Rauf Ibrahim NANIK PURWANTI Nelwan, Leopold Oscar Nurbaiti Araswati Omil Charmyn Chatib Prasetyo, Tegar Adi Prastono, Haryo Putri, Sindi Lestari Rena Nurista Riyanti Riyanti Rokhani Hasbullah Romadhon, Akbar Septiadi, Ananda Putra Shadila Fira Asoka Shadila Fira Asoka Shandra Amarillis Slamet Widodo Slamet Widodo Slamet Widodo Slamet Widodo Slamet Widodo Slamet Widodo Slamet Widodo Sucahyo, Lilis Supriyanto Supriyanto Supriyanto Supriyanto Supriyanto Supriyanto Supriyanto Supriyanto Supriyanto Supriyanto Tasmara, Jasmine Tineke Mandang WULANDARI Y. Aris Purwanto Yanti, Delvi Yudi Chadirin Yudiwanti Yudiwanti Wahyu E. Kusumo Yuvicko Gerhaen Purwansya