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All Journal Agrifor : Jurnal Ilmu Pertanian dan Kehutanan Jurnal Pertanian Terpadu Jurnal Ilmiah Rekayasa Pertanian dan Biosistem Jurnal Teknologi Agro-Industri Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Jurnal Teknologi Pertanian Andalas Jurnal Agritechno Jurnal Pengabdian Al-Ikhlas Jurnal Magrobis Literasi: Jurnal Pengabdian Masyarakat dan Inovasi Rona Teknik Pertanian The Indonesian Journal of General Medicine
Joko Suryanto
Program Studi Teknik Pertanian, STIPER Kutai Timur
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Dentistry Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Medicine & Pharmacology Public Health Social Sciences Veterinary Other

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ANALISIS INPUT-OUTPUT ENERGI BUDIDAYA MENTIMUN (Cucumis sativus L.) DENGAN SISTEM IRIGASI SPRINKLER Suryanto, Joko; Kasim, Hasni; Nurhayati, Nurhayati
Jurnal Magrobis Vol 19, No 1 (2019)
Publisher : Agriculture Faculty, University of Kutai Kartanegara, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (880.419 KB)

Abstract

The aim of the research was energy analysis (input-output) cucumber in cultivation under sprinkler irrigation system. Data were collected using interview method from cucumber farmer that cultivation cucumber in field 15 x 9 m2 in Bengalon, Kutai Timur. The results indicated that  total energy input and total energy output was found 35 204 MJ/ha and 69 926 MJ/ha, respectively. The energy indices covering energy rasio (energy use efficiency), energy specific,  energy productivity and net energy were 1,99,  0,40 MJ/kg, 2,48 kg/MJ and 34 722 MJ/ha, respectively. The cucumber cultivativation under sprinkler irrigation system, 38,21 % of total energy input was classified direct energy and 61,79 % was indirect energy. Results futher indicated that 90,18 % of total energy input was in non-renewable energy form, and only 9,82 % was in renewable form. The main non-renewable inputs were fuel and chemical fertilizers 34,53 % and 22, 69 %, respectively. Therefore, irrigation efficiency should be improved and reductions of chemical fertilizers would be suggested to reduce non-renewable energy input in cucumber cultivativation under sprinkler irrigation system. Keywords: Cucumber cultivation, energy rasio, input energy, non-renewable energy, sprinkler irrigation system
Increased Production of Mustard (Brassica juncea L.) with Application Capillary-Irrigation System Amprin Amprin; Joko Suryanto
Agrifor : Jurnal Ilmu Pertanian dan Kehutanan Vol 18, No 1 (2019): Maret 2019
Publisher : Universitas 17 Agustus 1945 Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31293/af.v18i1.4105

Abstract

Increased Production of Mustard (Brassica juncea L.) with Application Capillary-Irrigation System. Application of capillary irrigation system on mustard is expected to increase the crop productivity. The aims of this study was to calculate the use of water of mustard with application capillary irrigation using  wick and flanneland to determine the best combination of irrigation capillary tools of capillarity system. The design of this study used two factors and three replications. The first factor was wick materials (S), consistings two level: the flannel wick (S1), and stove wick (S2). The second factor was the dosage sawdust (M), consists two level: 0 % of sawdust (M1), and 50 % of sawdust (M2).The research results showed that total water use of M1S1 is 169.7 ml and M1S2 is 107,91 ml, M2S1 is 198.4 ml, and M2S2 is 151.76 ml. The best combination of this research obtain on M2S1, the second cultivating media, the soil by using soil with silty clay loamtexture which mixed50 % of sawdust and the wick of flannel.
PERBANDINGAN KINERJA MODEL ARIMA DAN THOMAS-FIERING DALAM MEMPREDIKSI DEBIT SUNGAI LONING, MAGELANG Joko Suryanto
Agrifor : Jurnal Ilmu Pertanian dan Kehutanan Vol 15, No 1 (2016): Maret
Publisher : Universitas 17 Agustus 1945 Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31293/af.v15i1.1782

Abstract

Perbandingan Kinerja Model ARIMA Dan Thomas-Fiering Dalam Memprediksi Debit Sungai Loning, Magelang. Penelitian ini bertujuan untuk menganalisa data debit bulanan sungai Loning Magelang menggunakan pendekatan stokhastik. Tahap awal adalah melakukan uji konsistensi data debit menggunakan metode Rescaled Adjusted Partial Sums (RAPS) untuk mendeteksi homogenitas data debit. Dua pendekatan stokhastik dalam simulasi debit bulanan sungai Loning adalah model ARIMA dan Thomas-Fiering. Indeks error (RMSE dan MAPE) prediksi dua model tersebut dibandingkan untuk menentukan model yang sesuai dalam mensimulasi debit sungai Loning. Nilai RMSE dan MAPE pada periode prediksi 2014 – 2015 diperoleh sebesar 9.710 lt/dt dan 27.23 %, 11,325 lt/dt dan 32.71 %, berturut-turut untuk model ARIMA dan Thomas-Fiering. Nilai indeks error tersebut mengidikasikan bahwa model ARIMA lebih sesuai untuk simulasi debit bulanan sungai Loning dibandingkan model Thomas-Fiering.
Trend Analysis of Rainfall Data in Magelang District Using Mann-Kendall Test and Modification Mann-Kendall Variation Joko Suryanto; Joko Krisbiyantoro
Agrifor : Jurnal Ilmu Pertanian dan Kehutanan Vol 17, No 2 (2018): Oktober
Publisher : Universitas 17 Agustus 1945 Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31293/af.v17i2.3616

Abstract

The objective of the research was to analyzed rainfall trends from 6 rainfall stations Kajoran, Mendut, Muntilan, Ngablak, Salaman and Tempuran rainfall station in different time scales (monthly, 3-months periodicityand annual). Identification homogenity of the rainfall data period 1986-2016 for Magelang district using Rescaled Adjusted Partial Sums (RAPS) methode. The three non-parametric tests, Mann-Kendall (MK), modified Mann-Kendall (MMK), trend free prewhitening Mann-Kendall (TFPW-MK) and Sen’s slope wereemployed to assess significance of trends and detecting magnitude of trends.The results shows that monthly rainfall have no significant trend using MK, MMK, and TFPW-MK test at 0.05 level significance. Rainfall 3-month based January-February-March (JFM) period Kajoran station have negative significant trend with magnitude 19.4 mm/3-month. Mendut station have positive trend for April-May-June (AMJ) period with magnitude 6.75 mm/3-month. No significant trends at 0.05 level significance using MK trend test were detected in annual rainfall for 6 rainfall stations.
A Comparative Analysis of Fuzzy Clustering and K-means Clustering for 15-day Rainfall Datain DIY Province. Joko Suryanto
Agrifor : Jurnal Ilmu Pertanian dan Kehutanan Vol 16, No 2 (2017): Oktober
Publisher : Universitas 17 Agustus 1945 Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31293/af.v16i2.2905

Abstract

This study aimed to compare performance two clustering methods (fuzzy c-means and K-means) on the basis validity index. The study used daily rainfall data for twenty five years (1985 to 2009) from 22 stations covering the DIY Province. PCA is used to reduce number 15-day rainfall variables and transform into new variable. Four validity index clustering: Xie-Beni index (XB), sum squared error (SSE), silhouette (Si) and standard deviation ratio (Sw/Sb) are used for compare performance of two clustering methods. The optimal number of cluster is determined using XBindex, and result SSE, Si and ratio (Sw/Sb) are compared to find appropriate clustering algoritms to 15-day rainfall data. The study results showed that the first 4 PCs explains more than 82 % of total variance, than are used for data input in fuzzy c-means and K-means algorithms. The optimal number clusters according XB index are sixand five forK-means and FCM methode, respectively.The average ratio Sw/Sb K-means methode (0.243) was smaller than fuzzy c-means methode (0.289). The Silhouette dan SSE index are 0.46 and 76, 0.24 and 254 for K-means and FCM respectively. The result indicated that K-means methodeto be better than fuzzy c-means for clustering 15-day rainfall data in DIY Province.
PENDAMPINGAN PEMBUKUAN SEDERHANA PADA UMKM MITRA LEMBAGA PENGEMBANGAN BISNIS PAMA BENUA ETAM (LPB PABANET) SANGATTA Muhamad Yazid Bustomi; Rusmiyati Rusmiyati; Joko Suryanto; Hendra Hendra
JURNAL PENGABDIAN AL-IKHLAS UNIVERSITAS ISLAM KALIMANTAN MUHAMMAD ARSYAD AL BANJARY Vol 6, No 3 (2021): AL-IKHLAS JURNAL PENGABDIAN
Publisher : Universitas Islam kalimantan MAB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (164.924 KB) | DOI: 10.31602/jpaiuniska.v6i3.4504

Abstract

Usaha mikro, kecil, dan menengah yang banyak tumbuh di masyarakat Indonesia dapatdiartikan sebagai suatu usaha yang dapat menggerakkan roda perokonomian melaluipenciptaan produk dan penyerapan tenaga kerja. Pelaku usaha harus dapat mengelolausahanya melalui pencatatan transaksi keuangan yang dibuktikan dengan adanya laporankeungan usaha sebagai salah satu bukti kineja UMKM. Kegiatan pendampingan inibertujuan (1) memberikan pemahaman tentang pentingnya pelaku usaha (UMKM) untukmelakukan pembukuan atau pencatatan keuangan, (2) menjelaskan proses pencatatantransaksi dan langkah-langkah dalam menyusun laporan keuangan. Kegiatan pengabdianini dilakukan pada UMKM yang tergabung sebagai UMKM Mitra LPB Pabanet dalambentuk penyuluhan dengan metode ceramah, diskusi, kemudian dilanjutkan denganpendampingan langsung kepada UMKM sesuai dengan sektor usahanya. Para pesertaUMKM Mitra dapat mengikuti kegiatan dengan baik terlihat dari antusias dankemampuan dalam mengerjakan soal latihan yang diberikan terkait dengan contohtransaksi usaha, laporan keuangan, juga dapat menghitung harga pokok produksi. Pelakuusaha dapat memahami pentingnya laporan keuangan untuk rencana investasiselanjutnya.
VALIDASI CURAH HUJAN HARIAN CHIRPS PRECIPITATION SATELLITE PRODUCT DI PROVINSI KALIMANTAN BARAT Joko Suryanto; Amprin; Anisum
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 (923.098 KB) | DOI: 10.29303/jrpb.v11i1.442

Abstract

Data curah hujan produk satelit dapat digunakan sebagai alternatif keterbatasan pengukuran curah hujan menggunakan penakar hujan. Akurasi data hujan satelit sangat bervariasi antar wilayah karena faktor lingkungan yang beragam, sehingga validasi hujan data satelit sangat diperlukan. Penelitian ini bertujuan untuk menguji akurasi data hujan harian Climate Hazards Group Infrared Precipitation with Stations (CHIRPS) pada 7 stasiun hujan di Provinsi Kalimantan Barat. Metode point-to-pixel digunakan untuk membandingkan curah hujan harian pengamatan Badan Meteorologi Klimatologi dan Geofisika (BMKG) sepanjang 20 tahun (2002 – 2021) dengan data curah hujan CHIRPS yang bersesuaian dengan lokasi stasiun hujan. Validasi data CHIPRS menggunakan dua jenis validasi yaitu validasi kontinu dan validasi kategorial. Validasi kontinu diperoleh rata-rata korelasi Pearson (R), percent bias (Pbias), mean error (ME), mean absolute error (MAE), dan root mean square error (RMSE) adalah 0,25, 9,92 %, 0,68 mm, 12,17 mm, dan 19,82 mm. Berdasarkan nilai rata-rata percent bias dan korelasi Pearson, estimasi hujan data CHIRPS sangat baik, namun mempunyai korelasi lemah dengan data pengamatan. Validasi kategorial diperoleh nilai rata-rata probability of detection (POD),  false alarm ratio (FAR),  critical success index (CSI), frequency bias index (FBI) dan Heidke skill score (HSS) adalah 0,72, 0,44, 056, 1,01, dan 0,27. Validasi kategorial menunjukkan bahwa data CHIRPS sangat baik dalam mengestimasi kejadian hujan di Kalimantan Barat.  
Aplikasi Teknik Data Driven untuk Prediksi Debit Sungai Bulanan Studi Kasus Bendung Loning, Magelang Joko Suryanto
Rona Teknik Pertanian Vol 9, No 2 (2016): Volume 9, No. 2, Oktober 2016
Publisher : Department of Agricultural Engineering, Syiah Kuala University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17969/rtp.v9i2.5649

Abstract

Abstrak. Model prediksi debit sungai sangat penting dalam perencanaan, desain dan manajemen sumberdaya air. Penelitian ini bertujuan untuk membandingkan akurasi prediksi debit bulanan sungai Loning di DAS Loning Magelang menggunakan pendekatan model data driven. Pembentukan model didasarkan pada model deret waktu debit bulanan menggunakan data debit bulanan antara Januari 1990 hingga Desember 2015. Tiga model data driven yaitu ARIMA, ANFIS dan FFNN digunakan untuk prediksi debit bulanan sungai Loning periode 2014 - 2015. Indeks error (RMSE dan MAPE) dan koefisien Nash-Sutcliffe efficiency (NS) digunakan untuk mengevaluasi akurasi prediksi model. Hasil penelitian diperoleh nilai RMSE, MAPE dan NS model FFNN adalah 8,422 lt/ dt, 22.79 % dan 0.709, untuk  model ANFIS 9,465 lt/dt, 25.62 % dan 0.633, sedangkan model ARIMA diperoleh  9,710 lt/dt, 27. 32 % dan 0.614.  Nilai indeks error tersebut mengindikasikan bahwa model FFNN lebih sesuai untuk simulasi dan prediksi debit bulanan sungai Loning dibandingkan model ANFIS dan ARIMA. Application Data Driven Technique for Monthly Runoff Forecasting: A Case Study of Loning Dam, Magelang Abstract. The development of runoff forecasting model is one of the most important aspects in water resources planning, design and management. This study aimed to compare the accuracy data driven models for simulation and forecasting the monthly runoff data of Loning river, Loning Watershed Magelang. The models were developed based on time series model, and monthly data collected over 26 year period from January 1990 to December 2015.  Three data driven models, ARIMA, ANFIS and FFNN models, were used for forecasting monthly runoff for period 2014 -2015. The index error, root mean square error (RMSE), mean absolute percentage error (MAPE) and Nash-Sutcliffe efficiency coefficient (NS) were employed to evaluate the performances of model developed. The RMSE, MAPE and NS indices were obtained as 8,422 lt/s, 22.79 % and 0.709 for FFNN model, as 9,465 lt/s, 25.62 % and 0.633 for ANFIS and as 9,710 lt/s, 27. 32 % and 0.614 for ARIMA model. The result indicated that FFNN model appear to be better than ARIMA and ANFIS model for simulation and forecasting the monthly runoff Loning river.
Analisis Perbandingan Indeks Kekeringan Meteorologis di DAS Sangatta, Kabupaten Kutai Timur Joko Suryanto STP.MSc
Jurnal Teknologi Pertanian Andalas Vol 28, No 1 (2024)
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jtpa.28.1.16-27.2024

Abstract

Kesiapan dan perencanaan penanggulangan bencana kekeringan dapat dilakukan dengan memantau kekeringan menggunakan indeks kekeringan. Penelitian ini bertujuan untuk mengevaluasi indeks kekeringan Standardized Precipitation Index (SPI), China Z Index (CZI), Modified China Z Index (MCZI), Z Score Index (ZSI) dengan membandingkan dengan indeks kekeringan Effective Drought Index (EDI). Indeks kekeringan dihitung menggunakan data curah hujan bulanan meliputi 4 stasiun hujan yang berada di wilayah DAS Sangatta periode 2012 - 2022. Pengujian konsistensi data curah hujan menggunakan metode kurva massa ganda, sedangkan pengujian homogenitas data menggunakan uji Buishand. Indeks kekeringan SPI, CZI, MCZI, dan ZSI dihitung pada skala 1, 3, 6 dan 12 bulan, sedangkan indeks EDI dihitung pada skala bulanan. Evaluasi indeks kekeringan dilakukan dengan membandingkan nilai indeks kekeringan dan kategori kekeringan dengan nilai indeks dan kategori kekeringan EDI. Hasil penelitian menunjukkan bahwa indeks SPI mempunyai korelasi yang lebih tinggi dibandingkan dengan indeks lainya dengan nilai rata-rata 0,79, dan nilai tertinggi pada SPI-6 sebesar 0.94. Semua indeks kekeringan pada skala waktu 1 bulan diperoleh nilai NSE < 0,50 yang masuk ke dalam kategori tidak layak. Indeks kekeringan SPI-6 mempunyai nilai kesesuaian kategori kekeringan tertinggi dengan indeks EDI yaitu 74,6%. Indeks kekekeringan SPI-6 disarankan digunakan untuk pemantauan kekeringan di DAS Sangatta karena memberikan akurasi status kekeringan yang paling akurat.
Comparison Accuracy of CHIRPS, GSMaP V7, and GSMaP V8 Satellite Rainfall Estimation in Kalimantan Joko Suryanto; Joko Krisbiyantoro
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.v13i2.470-484

Abstract

The application of satellite product rainfall estimates (SPREs) is growing in hydrometeorology due to limited rainfall measurement. This study aims to compare the accuracy of three SPRE, namely Climate Hazards Group InfraRed Precipitation with Station (CHIRPS), Global Satellite Mapping of Precipitation (GSMaP) Moving Vector with Kalman Filtering (GSMaP-MVK), and near-real-time (GSMaP-NRT) versions 7 and 8, against daily and monthly rainfall measurements from eighteen gauges in Kalimantan from December 2021 to May 2023. Continuous validation includes root mean square error (RMSE), relative bias (RB), and correlation coefficient (CC), and categorical validation consists of a probability of detection (POD), false alarm ratio (FAR), and critical success index (CSI) were used to assess the accuracy of SPREs. The results showed that GSMaP-MVK version 8 has the highest accuracy on a daily scale with an RMSE value of 14.31 mm/day, while the CHIRPS has the highest accuracy on a monthly scale with an RMSE of 81 mm/month. GSMaP version 8 is better than GSMaP version 7, with a difference in RMSE, CC, and RB at 14.2%, 9.7%, and 84%. Categorical validation showed that GSMaP version 8 was 2.13%, higher in POD, 3.95% in CSI, and 10.2% in FAR compared to GSMaP version 7. Keywords:  Accuracy, CHIRPS, GSMaP, Kalimantan, Rain-gauge.
Co-Authors Amprin Amprin Amprin Amprin, Amrpin Anisum Anisum Faisol Faisol Gita Amelia, Gita Hasni Kasim, Hasni Hendra Hendra Joko Krisbiyantoro Joko Krisbiyantoro Joko Krisbiyantoro, Joko Muhamad Yazid Bustomi Novita Dewi, Indah Nurhayati Nurhayati Rusmiyati Rusmiyati Rusmiyati, Rusmiyati