Garuda - Garba Rujukan Digital

p-Index From 2020 - 2025

3.942

P-Index

This Author published in this journals

All Journal Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) Jurnal Teknologi Dan Industri Pangan Jurnal Teknologi Industri Pertanian Jurnal Komunikasi Pembangunan Jurnal Pustakawan Indonesia Jurnal Sain Veteriner Buletin Peternakan Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Keteknikan Pertanian TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Ilmiah Kursor Jurnal Pengkajian dan Pengembangan Teknologi Pertanian Jurnal Studi Komunikasi dan Media Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Jurnal Aplikasi Bisnis dan Manajemen (JABM) E-Journal Jurnal Edik Informatika : Penelitian Bidang Komputer Sains dan Pendidikan Informatika Jurnal PIKOM (Penelitian Komunikasi dan Pembangunan) JOIV : International Journal on Informatics Visualization Nyimak: Journal of Communication Matra Pembaruan: Jurnal Inovasi Kebijakan International Journal of Supply Chain Management Warta Penelitian Perhubungan JURNAL PANGAN Journal of Information System, Applied, Management, Accounting and Research Indonesian Journal of Electrical Engineering and Computer Science Jurnal Pustakawan Indonesia Warta Penelitian Perhubungan

Kudang Boro Seminar

Department Of Mechanical And Biosystem Engineering, Faculty Of Agricultural Technology, IPB University, Bogor, 16680

Author-ID : 2875739

Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences Transportation Veterinary Other

Published : 72 Documents Claim Missing Document

Claim Missing Document

Articles

Title

1 2

Expert System for Identification of Red Pepper Plant (Capsicum annum L.) Sitti Eha Faihah; Kudang Boro Seminar; Suryo Wiyono
Jurnal Keteknikan Pertanian Vol. 13 No. 3 (1999): Buletin Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.013.3.%p

Identification of plant disease is an important step to decide how it will control. This paper discusses the design and development of an expert system for identification of 12 general diseases of red pepper plant (Capsicum annum L.). Disease identification in this software system was based on the visual symptom of disease(s) in various plant growth stages, similar to the standard rules in plant protection science. The prototype of this software system was implemented by EXSYS Professional for Microsoft Windows (WINEXSYS) version 5.0 and worked under Windows '95 operation system. This software system is user-friendly and equipped by image-visualization that describe disease symptoms.

Internet Based Expert System for Hand Tractor Trouble Shooting Mohammad Solahudin; Kudang Boro Seminar; Yuli Suharnoto
Jurnal Keteknikan Pertanian Vol. 14 No. 2 (2000): Buletin Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.014.2.%p

The final step of this research was uploading the system in virtual FTP (File Transfer Protocol directory address /www/smipipb, and Uniform Resource Locator (URL) to access this site washttp://www.websamba.com/smipipb. The eveluation using the same browser engines indicutes that the system work as weN as in the local intranet. The knowledge base contains rules concerning the knowledge domain transformed and stored in the Microsoft Access data basejle. The main constribution of this research is to provide a multiuser software tool for hand tractor trouble shooting in the internet environment.

Analisis Dimensi Fraktal untuk Identifikasi Tanaman dengan Pendekatan Pemrosesan Citra Secara Paralel Mohamad Solahudin; Kudang Boro Seminar
Jurnal Keteknikan Pertanian Vol. 24 No. 2 (2010): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.024.2.%p

Abstract The use of camera vision and real-time computation as plant identification tool has become an active research. Application of both methods can not be separated from a pretension that the computation must produce correct results within the specified time interval where the truth of the calculation depends not only on logical truth but also on the time in which results are produced. The purpose of this study is to identify plants with fractal dimension analysis and the application of parallel computing. Fractal dimension analysis results showed that each plant has a typical Fractal dimension value. Filtration process with a small window size is accompanied by the use of multiple processors indicates that the image processing in parallel show results much faster than processing with a single processor.Keywords: camera vision, fractal dimension analisys, filtration, parallel computing Diterima: 24 Mei 2010; Disetujui: 13 September 2010

Pendeteksian Kerapatan dan Jenis Gulma dengan Metode Bayes dan Analisis Dimensi Fraktal untuk Pengendalian Gulma Secara Selektif Mohamad Solahudin; Kudang Boro Seminar; I Wayan Astika; Agus Buono
Jurnal Keteknikan Pertanian Vol. 24 No. 2 (2010): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Abstract Destructive impacts of herbicide usage on environment and water contamination have led to many researches oriented toward finding solutions for their accurate use. If density and weeds species could be correctly detected, patch spraying or spot spraying can effectively reduce herbicide usage. A precision automated machine vision for weed control could also reduce the usage of chemicals. Machine vision is a useful method for segmentation of different objects in agricultural applications, especially pattern recognition methods. Many indices have been investigated by researchers to perform weed segmentation based on color information of the images. But there is no research that aims to identify weed diversity and its influence on the consumption of herbicides. The purpose of this research is to build a system that can recognize weeds and plants. In this study the relation between three main components (red, green and blue) of the images and color feature extraction (Hue, Saturation, Intensity) used to define weeds and plants density. Fractal dimension used as the methode to define shape features to distinguish weeds and plants. Weeds and plants were segmented from background by obtaining H value and its shape was obtained by fractal dimension value. The results show fractal dimension value for weeds and plants has specific values. Corn plants have fractal dimension values in the range 1.148 to 1.268, peanut plants have fractal dimension values in the range 1.511 to 1.629, while the weeds have Fractal dimension values in the range 1.325 to 1.497. Keywords: image processing, machine vision, weed control, fractal dimension Diterima: 26 Juli 2010; Disetujui: 4 Oktober 2010

Rancang Bangun Sistem Sortasi Cerdas Berbasis Pengolahan Citra untuk Kopi Beras Dedy W. Soedibyo; Usman Ahmad; Kudang Boro Seminar; I Dewa Made Subrata
Jurnal Keteknikan Pertanian Vol. 24 No. 2 (2010): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Abstrack Coffee has good prospects as a motor of development in Indonesia agribusiness and agroindustry, therefore needs to be handled properly and professionally. Grading process in commercial green coffee asgrain commodity is still done manually. This process has the disadvantage of low efficiency, objectivity and the level of consistency. Therefore weneed a machine that can workautomatically to classify the quality of the green coffee by visual inspection. Theobjective of this study was to design the green coffee sorting machine controlled by a computer based on image processing program consisted of conveyor belt, the image capture station used twodigital cameras, and the parallelsimulator divider. The design of sorting machine was used for the development of the green coffee sorting system that will categorizeinto four quality classes based on the qualifications according to the standard of SCAA ( Specialty Coffee Association of America). Keyword: Sorting Machine, green coffee, image procesing, computer programDiterima: 14 Juli 2010; Disetujui: 11 Oktober 2010

Penggunaan Vis-NIR untuk Deteksi Serangan Huanglongbing pada Daun Jeruk Raden Arief Firmansyah; Kudang Boro Seminar; Widodo .
Jurnal Keteknikan Pertanian Vol. 5 No. 1 (2017): JURNAL KETEKNIKAN PERTANIAN
Publisher : PERTETA

AbstractHuanglongbing is citrus disease which is a major threat for citrus orchard. Neither disease has a cure nor an efficient means of control. Early detection is important to prevent development and spread of the disease. The most effective detection used DNA test by PCR. However, identification used DNA test required sample preparation, time-consuming and expensive. The objective of this study was to build detection of healthy and HLB-infected leaves software. The leaf samples collected from citrus orchard in Situgede village, Bogor. Sampleleaves divided into three group, Huanglongbing-infected leaves, healthy leaves and asymptomatic leaves. All samples was tested by PCR for verification visual symptoms of huanglongbing. Vis-NIR spectrometer with a spectra range of 339 to 1022nm was used to acquisition HLB-infected and healthy leaves spectral data. MSC, SNV, baseline correction, first and second derivative were used for pretreatment method. Artificial neural network was used to build classification model. X-loading plot from principal component analysis was used to obtain sensitive wavelength. Classification for healthy and HLB-infected classs used sensitive wavelength baseline correction-based had the best performance and high accuracy (100%). The classification model was embedded in software PC-desktop based which was used visual basic programming language. Asymptomatic leaves spectral from HLB-positive tree were used to testing classification model. Model classified data into HLB-infected group, which was consistent with PCR test. The result from this study indicated that developed software could be used to HLB detection in early stage of disease.AbstrakHuanglongbing adalah penyakit jeruk yang merupakan ancaman utama bagi budidaya jeruk. Tidak ada pengendalian yang tepat untuk Huanglongbing. Deteksi dini penting untuk mencegah penyebaran dan pengembangan penyakit ini. Deteksi dini yang paling efektif menggunakan tes DNA dengan PCR. Namun, identifikasi menggunakan tes DNA memerlukan persiapan sampel, memakan waktu dan mahal. Tujuan daripenelitian ini adalah membangun perangkat lunak deteksi daun sehat dan terinfeksi HLB. Sampel daun dikumpulkan dari kebun jeruk di Desa Situ Gede, Bogor. Sampel daun dibagi menjadi tiga kelompok, daun yang terinfeksi HLB, daun sehat dan daun belum bergejala. Semua sampel telah diuji dengan PCR untuk verifikasi gejala visual Huanglongbing. Spektrometer Vis-NIR dengan rentang spektrum dari 339-1022nm digunakanuntuk mengumpulkan data spektrum daun terinfeksi HLB dan sehat. MSC, SVN, baseline correction, turunan pertama dan kedua dari spektra digunakan sebagai metode praperlakuan. Jaringan syaraf tiruan digunakan untuk membangun model klasifikasi Plot X-loading dari analisis komponen utama digunakan untuk mendapatkan panjang gelombang sensitif. Klasifikasi terhadap kategori daun sehat dan sakit menggunakan panjang gelombang sensitif berbasis baseline correction memiliki nilai akurasi 100 % dan kinerja terbaik. Model klasifikasi yang ditanam pada perangkat lunak berbasis komputer desktop menggunakan bahasa pemrograman visualbasic. Data spektrum daun belum bergejala dari pohon positif terinfeksi HLB digunakan untuk menguji model klasifikasi. Model mengklasifikasikan data tersebut ke kelompok terinfeksi HLB, yang konsinten dengan hasil pengujian PCR yang juga mengelompokkan pada daun terinfeksi HLB. Hasil penelitian ini menunjukkan bahwa perangkat lunak dapat digunakan untuk deteksi HLB pada tahap awal perkembangan penyakit.

Karakteristik Emisi Akustik untuk Mendeteksi Rayap Tanah pada Kayu Muhammad Achirul Nanda; Kudang Boro Seminar; Dodi Nandika
Jurnal Keteknikan Pertanian Vol. 5 No. 3 (2017): JURNAL KETEKNIKAN PERTANIAN
Publisher : PERTETA

AbstractVarious methods for detecting termites in the wood have been developed, one of those was based on acoustic emission. Eventhough, that method was difficult to distinguish the signal generated by termites or interference noise from the environment. It could be solved through a combination of acoustic emission and behavior of termites. Therefore, the purposes of this study were to analyze the acoustic signal and the moisture content to classify infested and uninfested wood by termites. The wood used in this study were made from Pinus logs, in air dried condition, which measure of 20(l) x 9.5(w) x 2.5(h) cm. Five wood were infested by 220 of C. curvignathus (‘infested wood’), the others were in sound condition (‘uninfested wood’). The acoustic signal was analyzed by FFT (Fast Fourier Transform) to transform from the time domain into the frequency domain. The results showed that moisture content of infested wood (11.94±0.792%) was higher than uninfested board (10.82±0.525%). Whereas the results of the acoustic signal indicated that the value of zero moment power of infested wood as well as uninfested wood, i.e., 13.405±3.019 and 9.573±2.188 respectively. Finally, the parameters which able to classify infested and uninfested wood by termites significantly were moisture content and the zero moment power.AbstrakBerbagai metode untuk mendeteksi rayap di dalam kayu telah dikembangkan, salah satunya adalah berbasis emisi akustik. Namun, metode tersebut kesulitan untuk membedakan sinyal yang diakibatkan oleh rayap atau pengaruh gangguan dari lingkungan. Hal tersebut dapat diatasi dengan mengkombinasikan emisi akustik dengan perilaku rayap. Tujuan dari penelitian ini adalah untuk menganalisis sinyal emisi akustik dan kadar air untuk mengklasifikasikan kayu yang terserang oleh rayap dan tidak terserang oleh rayap. Kayu yang digunakan pada penelitian ini dibuat dari kayu pinus, pada kondisi kering dengan ukuran 20 (p) x 9.5 (l) x 2.5 (t) cm. Lima kayu terserang sebanyak 220 rayap C. Curvignathus (‘kayu terserang’), kayu lain dalam keadaan baik (‘kayu normal’). Hasil menunjukkan bahwa kadar air dari kayu terserang oleh rayap (11.94±0.792%) lebih tinggi dibandingkan kayu normal (10.82±0.525%). Sedangkan hasil dari sinyal akustik menunjukkan bahwa nilai zero moment power pada kayu terserang oleh rayap dan kayu normal secara berurutan adalah 13.405±3.019 dan 9.573±2.188. Selanjutnya, parameter yang mampu untuk mengklasifikasikan kayu yang terserang oleh rayap dan kayu normal secara signifikan adalah parameter kadar air dan zero moment power

Simulasi Distribusi Suhu pada Lubang Tanam Hidroponik Rakit Apung untuk Produksi Bawang Merah di Dataran Rendah Tropika Agus Ghautsun Niam; Herry Suhardiyanto; Kudang Boro Seminar; Akhiruddin Maddu
Jurnal Keteknikan Pertanian Vol. 5 No. 3 (2017): JURNAL KETEKNIKAN PERTANIAN
Publisher : PERTETA

Abstract This paper discusses the cooling effect of the root zone (the root zone cooling) at a floating hydroponic for the shallot production in tropical lowland by cooling the nutrient bath. The study was conducted at three different temperatures, i.e. low temperatures (8-10OC), medium temperature (13-15OC), and control (23-26OC) with variable responses that include wet weight, dry weight, number of bulbs and weight per bulb. Plant growth responses were analyzed using statistical methods Fisher's least significant difference (LSD), while the temperature distribution on a floating hydroponic was analyzed by computational fluid dynamics (CFD) simulation approach. CFD simulation approach was able to describe the temperature distribution on a floating hydroponic well, where the coefficients of determination (R2) for each treatment of low temperature, medium and controls are 0.983, 0.980 and 0.862 respectively. The results showed that the number of bulbs was the most responsive variable, where the induction of bulb formation at low temperature is more than 200% of the control temperature and more than 60% of the medium temperature.Abstrak Makalah ini membahas tentang efek pendinginan daerah perakaran (root zone cooling) pada hidroponik rakit apung untuk produksi bawang merah di dataran rendah tropika dengan pendinginan pada bak nutrient.Penelitian dilakukan dengan 3 suhu berbeda, yaitu pada suhu rendah (8-10OC), suhu sedang (13-15OC), dan kontrol (23-26OC) dengan variabel respon pertumbuhan tanaman bawang merah meliputi bobot basah, bobot kering, jumlah umbi dan bobot per umbi. Respon pertumbuhan tanaman dianalisis menggunakan metoda statistik Fisher's least significant difference (LSD), sedangkan distribusi suhu pada hidroponik rakit apung dianalisis melalui pendekatan simulasi computational fluid dynamics (CFD). Pendekatan simulasi CFD mampu menggambarkan sebaran suhu pada hidroponik rakit apung dengan baik dimana koefisien determinasi (R2) untuk masing-masing perlakuan dari suhu rendah, sedang dan kontrol berturut-turut sebesar 0.983, 0.980 dan 0.862. Hasil penelitian menunjukkan bahwa jumlah umbi merupakan variable yang paling responsif, dimana pada suhu rendah induksi pembentukan umbi bawang merah mencapai 200% lebih banyak dari pada suhu kontrol dan 60% lebih banyak dari suhu sedang.

Near Real Time Spasial Distribution of Tillage Specific Draft Over Uncultivated Sugar Cane Plantation Based on SENTINEL-1A Imagery Harry Imantho; Kudang Boro Seminar; Wawan Hermawan; Satyanto Krido Saptomo
Jurnal Keteknikan Pertanian Vol. 10 No. 2 (2022): Agustus 2022
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.010.2.172-185

Variabilitas spasial sangat penting dalam pengelolaan pertanian skala besar seperti perkebunan. Informasi tentang variabilitas spasial lahan pertanian diperlukan untuk memastikan efektivitas dan efisiensi pengoperasian mesin pengolahan tanah. Studi ini mengusulkan sebuah model untuk menentukan distribusi spasial mendekati waktu nyata dan resolusi tinggi dari draft spesifik pengolahan tanah berdasarkan citra radar Sentinel-1A. Hasil penelitian menunjukkan bahwa dinamika spasial kadar air tanah dekat waktu nyata dengan fraksi debu dan liat pada lapisan olah tanah mempengaruhi sifat mekanik tahanan penetrasi tanah. Model Dubois telah diterapkan untuk menghitung kadar air tanah spasial berdasarkan Sentinel-1A. Model matematika untuk menghitung tahanan penetrasi tanah dikembangkan dari metode yang diusulkan menggunakan pendekatan regresi berganda berdasarkan data sampel yang dikumpulkan dari perkebunan tebu di kabupaten Kediri dan Sidoarjo, Jawa Timur, Indonesia. Kinerja model telah dihitung dan menunjukkan kinerja yang baik dengan nilai RMSE, MAPE dan akurasi masing-masing sebesar 0,235, 18,32% dan 81,68%. Distribusi spasial tahanan penetrasi tanah yang dihasilkan oleh model menjadi masukan penting dalam perhitungan draft spesifik pengolahan tanah berdasarkan pendekatan Kisu. Distribusi tahanan penetrasi dan draft spesifik pengolahan tanah dapat dihitung dan divisualisasikan menggunakan peta spasial. Peta sebaran draft spesifik pengolahan tanah membuktikan bahwa gaya yang bekerja per luas penampang tanah yang akan diolah bervariasi di seluruh area perkebunan tebu. Kontribusi masa depan dari penelitian ini adalah untuk mengembangkan sistem pendukung keputusan dalam pemilihan mesin pertanian yang tepat untuk operasi pengolahan tanah di perkebunan tebu berdasarkan prinsip-prinsip pertanian presisi.

Specialty Coffee Traceability System Based on Information Technology (Case Study: CV Frinsa Agrolestari Supply Chain) Muyassar Allam Suyuthi; Kudang Boro Seminar; Sutrisno Suro Mardjan
Jurnal Keteknikan Pertanian Vol. 11 No. 1 (2023): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.011.1.116-127

Kopi spesialti dikenal dengan kopi berkualitas tinggi yang memiliki cita rasa khas yang bervariasi tergantung dimana kopi tersebut ditanam. Pencatatan informasi pada rantai pasok kopi di Indonesia masih secara manual menggunakan kertas. Tujuan penelitian ini merancang sistem ketertelusuran untuk menjamin keaslian dan kualitas kopi spesialti sebagai pengganti sistem manual. Perancangan sistem ketertelusuran dalam studi ini dikembangkan berdasarkan studi kasus rantai pasok kopi Arabika Java Preanger di CV Frinsa Agrolestari, Pangalengan, Jawa Barat. Pengumpulan data dilakukan melalui observasi, wawancara, dan studi lapangan untuk mengidentifikasi rantai pasok dan karakteristik kopi spesialti. Metode perancangan sistem ketertelusuran menggunakan UML dan ER Diagram dipadukan dengan konsep CBIS (Computer Bassed Information System). Hasil penelitian menunjukkan bahwa faktor yang membentuk karakteristik kopi spesialti terjadi selama proses pra panen dan pasca panen, yaitu pencatatan buah kopi, pemanenan buah kopi masak merah, perambangan, kontrol kualitas pasca penggilingan, sortasi berdasarkan kepadatan, ukuran dan warna, serta kontrol kualitas biji kopi cacat primer dan sekunder. Kemudian merancang prototipe aplikasi ketertelusuran kopi spesialti berbasis website yang dapat diakses smartphone. Aktor yang terlibat dalam sistem yaitu petani, pengepul, pengolah, dan eksportir. Akuisisi data menggunakan QRCode (Quick Response Code) untuk mendukung sistem ketertelusuran.

Co-Authors - Sudradjat, - A. Haris Rangkuti Abdi Kurniawan Abung Supama Wijaya Aditya, Edit Lesa Agik Suprayogi Agus Buono Agus Ghautsun Niam Agus Maulana ahmad yani Akhiruddin Maddu Ali Djamhuri Ali Usman, Ali Alimuddin Alimuddin Alvin Fatikhunnada Amiruddin Saleh Amrozi Arief Ramadhan Arif Imam Suroso Arif Kurnia Wijayanto Aritonang, Melva Linda Az Zahra, Fatimah Azka Bazil Danish Rahmat B Mustafa Badollahi Mustafa Bagus Sartono Bayu Ardy Kresna Bayu Indrayana Budhi Hascaryo Iskandar Dedy Wirawan Soedibyo Defiana Arnaldy Diki Gita Purnama, Diki Gita Djuara P Lubis Dodi Nandika Dodik Briawan Drajat Martianto Dwi Susanto Edi Sukmadirana Eneng Tita Tosida Eni Sumarni Eva Maulina Aritonang Evy Damayanthi Faiz Ridhan Faroka Firman Ardiansyah Firmansyah, Raden Arief Gananda Hayardisi Gibtha Fitri Laxmi Hardinsyah Haris Budiman Harry Imantho Hartoyo Herry Suhardiyanto Heru Sukoco Herwindo Dharmawan I Dewa Made Subrata I Wayan Astika Imam Teguh Saptono Imantho, Harry Irman Hermadi Janti G. Sudjana Joko Hermanianto Joko Ratono Joko Ratono Karlisa Priandana koekoeh santoso komariah komariah Kurniawan, Abdi Ligar, Bonang Waspadadi Liyantono . Liyantono, - Lucia Cyrilla Luh Putu Ratna Sundari Maria Margrith Tirtasari Marimin , Mohamad Agus Setiawan Mohamad Solahudin Mohammad Aftaf Muhajir Mohammad Solahudin Mokhamad Fakhrul Ulum, Mokhamad Muhammad Firdaus Muhammad Riza Muladno - Muliati, Vika Febri Muyassar Allam Suyuthi Nakao Nomura Nanda, Muhammad Achirul Nasution, Syahrial Nelwan, Leopold Oscar Nugraha Edhi Suyatma Oktaviana Purnamasari Onno Widodo Purbo Pradeka Brilyan Purwandoko Pudji Muljono Purwandoko, Pradeka Brilyan Rachma Fitriati Rani Audona RATNA SARI Ridi Arif Rivangga Yuda Hendika Rizky Mulya Sampurno RR. Ella Evrita Hestiandari Rudi Afnan Samudra, Ami Anggraini Satyanto Krido Saptomo Seminar, Annisa Utami Shelvie Nidya Neyman Sidharta, Veranus Sirojul Munir Siska Mulyawaty Sitti Eha Faihah Sofyan Sjaf Sri Wahjuni Sugiyanta Suhendi, - Sumiati Sumiati Suryo Wiyono Sutrisno Mardjan Sutrisno Sutrisno Sutrisno Sutrisno Sutrisno, Sutrisno Syahrial Nasution Taufik Makbullah Triani Rahmawati Usman Ahmad Wawan Hermawan Wawan Wiraatmaja Wichitra Yasya Widodo Widodo Widodo Widodo Yandra Arkeman Yulia Dwi Indriani Yulianti, Nila Susila Yusra Fernando

Title Search

Found 12 Documents Search Journal : Jurnal Keteknikan Pertanian

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 12 Documents
Search
Journal : Jurnal Keteknikan Pertanian