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All Journal Jurnal Hortikultura Indonesia (JHI) Agromet JURNAL PESISIR DAN LAUT TROPIS Jurnal MIPA EUGENIA Buletin Palma Jurnal Agroekoteknologi Terapan AGRI-SOSIOEKONOMI COCOS
Johannes E. X. Rogi
Universitas Sam Ratulangi
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Earth & Planetary Sciences Economics, Econometrics & Finance Environmental Science Mathematics Physics Social Sciences

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Journal : EUGENIA

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PENDUGAAN POTENSI PRODUKSI GANDUM (TRITICUM AESTIVUM L.) DI SULAWESI UTARA DENGAN MENGGUNAKAN PERANGKAT LUNAK SHIERARY WHEAT VERSI 2.0 Rogi, Johannes E. X.; Frans, Siska J.
EUGENIA Vol 17, No 1 (2011)
Publisher : Universitas Sam Ratulangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35791/eug.17.1.2011.101

Abstract

The demand of wheat increases yearly in Indonesia. Therefore, Indonesia has imported wheat fromoverseas. Agronomically, wheat could be cultivated in Indonesia. Simulation model using ShieraryWheat ver 2.2 software developed by Handoko (1992) will be used in this studi. This software has beenvalidated by Rogi (1996) in several areas in Indonesia. This model has daily resolution which explainsinteraction between growth and development of wheat. Model inputs include weather elements such asradiation, temperature, humidity, wind and rainfall. Soil physical field capacity (water condition in thesoil), characteristic such as field capacity, wilt permanent point, and evaporation together with pH, totalnitrogen were incorporated in the model. Agronomical inputs such as irrigation, nitrogenous fertilizer,ground water and total nitrogen were used as hypothetical data. The research was aiming to assessthe best location and time for cultivated wheat ini North Sulawesi. The result showed that planted timein August had potential high yield followed by January, March, April, May, and Septemnber respectively.The suitable lacations for cultivated wheat in North Sulawesi were Tondano, Langowan, Tompaso,Tompaso Baru, and Kotamobagu. The best potential high yield was found in areas which had optimal ofair temperature and rainfall.Keywords : Wheat, Agronomically, Simulation model, Shierary Wheat Ver 2.0 ABSTRAKKebutuhan gandum yang terus meningkat setiap tahun di Indonesia dipenuhi dengan cara mengimpor,padahal secara agronomis gandum saat ini dapat dibudidayakan di daerah tropis dengan produksi yanglebih tinggi dan waktu panen yang lebih pendek. Penentuan daerah-daerah pengembangan Gandum diIndonesia seperti di Provinsi Sulawesi Utara penting untuk dilakukan dengan menggunakan modelsimulasi. Perangkat lunak Shierary Wheat Ver 2.0 yang dikembangkan Handoko tahun 1992 diMelbourne Australia dan divalidasi oleh Rogi (1996) dan telah dikalibrasi pada berbagai tempat diIndonesia. Model ini mempunyai resolusi harian yang menjelaskan proses interaksi antaraperkembangan dan pertumbuhan tanaman gandum. Input model terdiri dari unsur-unsur cuaca beruparadiasi matahari, suhu udara, kelembaban udara, kecepatan angin, dan curah hujan, sedangkan sifatfisik tanah (kapasitas lapang, titik layu permanen dan parameter evaporasi), serta sifat kimia tanah (pH,nitrogen total). Input agronomis berupa irigasi, pupuk nitrogen, kondisi awal berupa kadar air tanah dannitrogen total menggunakan data asumsi. Sehingga penelitian ini bertujuan untuk mendapatkan waktudan lokasi tanam yang terbaik untuk Tanam Gandum di Sulawesi Utara. Hasil penelitian mendapatkanbahwa Waktu tanam 1 Agustus mempunyai potensi hasil paling baik kemudian berturut-turut Januari,Maret, April, Mei dan September dengan lokasi yang sesuai adalah Tondano, Langowan, Tompaso,Tompaso Baru, dan Kotamobagu.
ANALISIS DAMPAK PERUBAHAN IKLIM TERHADAP PRODUKSI BERAS PROVINSI SULAWESI UTARA TAHUN 2013 – 2030 Hosang, Peter Rene; Tatuh, J.; Rogi, Johannes E.X.
EUGENIA Vol 18, No 3 (2012)
Publisher : Universitas Sam Ratulangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35791/eug.18.3.2012.4101

Abstract

ABSTRACT   Climate change has caused in the decreasing of rice production worldwide which affects food security condition in North Sulawesi. Therefore, efforts need to be done to anticipate this issue. A combination of numerical and spatial models was chosen in this study. Paddy rice numerical simulation model described relationships between crops’ physical environmental conditions and physiological condition in the forms of mathematical equations. Model inputs included climatic components, such as: light, temperature, humidity, wind speed and rainfall; soil physical components including: soil capacity, permanent wilt point, soil evaporation parameter; soil chemical variables including: pH and total nitrogen; agronomical input including: crop varieties, seed growth rate, irigation and nitrogen fertilizer; initial conditions including: ground water concentration, mineral nitrogen (NH4 and NO3) from various soil layers. Model output can be determined based on the purpose of the study. This research concluded that (a) rainfall pattern change and temperature’s increase affected paddy rice production, (b) 141,677 ton of rice shortage will be occurred in 2030. Strategics to anticipate this condition should be formulated. It is recommended to conduct a further research on compiling climate change data in North Sulawesi. Also, it is crucial to produce best paddy rice varietas resistant of climate change through biotechnology. Keywords : climate change, produce   ABSTRAK   Perubahan iklim mengakibatkan terjadi gangguan dalam produksi tanaman padi yang mempengaruhi kondisi ketahanan pangan di Sulawesi Utara sehingga perlu adanya langkah-langkah mengantisipasinya. Metode penelitian dilakukan dengan menggunakan pendekatan yang mengintegrasikan model numerik dan spasial. Model numerik simulasi tanaman padi menjelaskan hubungan antara kondisi fisik lingkungan dengan kondisi fisiologis tanaman dalam bentuk persamaan-persamaan matematis.  Input model terdiri dari unsur-unsur cuaca berupa radiasi surya, suhu dan kelembaban udara, kecepatan angin dan curah hujan; sifat fisik tanah (kapasitas lapang, titik layu permanen dan parameter evaporasi tanah); sifat kimia tanah (pH, nitrogen total); input agronomis (varietas, laju penggunaan benih, irigasi, pemupukan nitrogen); serta kondisi awal berupa kadar air tanah dan nitrogen mineral (NH4 dan NO3) dari berbagai lapisan tanah.  Sedangkan untuk output dapat disesuai dengan tujuannya. Penelitian ini dapat disimpulkan bahwa (a) perubahan pola curah hujan dan kenaikan suhu udara mempengaruhi produksi tanaman padi, (b) prognosa ketersediaan beras pada tahun 2030 mengalami defisit sebesar 141,677 ton, sehingga diperlukan langkah strategi untuk mengantisipasi. Eugenia Volume 18 No. 3  Desember 2012 Kata kunci : perubahan iklim, produksi
PENENTUAN WAKTU TANAM PADI SAWAH DI KABUPATEN SANGIHE DENGAN MENGGUNAKAN MODEL SIMULASI SHIERARY RICE Fattah, Farida; Rogi, J. E.X.; Toding, Mariam M.
EUGENIA Vol 21, No 3 (2015)
Publisher : Universitas Sam Ratulangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35791/eug.21.3.2015.9696

Abstract

ABSTRACT   Decline in rice production in Sangihe Island partly due to climate change and the implementation of a less precise planting time. Rice Shierary  model was used to predict the timing of planting paddy and has advantages in time and cost savings. This study aims to determine the exact time of planting in paddy rice crops in the district of South Manganitu, North Tabukan and Tamako, as well as to determine whether the results of the simulation model Shierary Rice together with the results obtained from the Central Bureau of Statistic Sangihe Islands. Input model consists of solar radiation, rainfall, temperature and humidity, field capacity, permanent wilting point, varieties, irrigation, nitrogen fertilization, longitude and latitude of the study area. While the output was paddy rice yield potential. It can be concluded that (a) the appropriate planting time of paddy in the South Manganitu namely in June with a potential yield of 4.25 tonha-1 and March with a potential yield of 3.88 tonha-1. (b) the appropriate planting time of paddy in the  North Tabukan namely in June with a potential yield of 4.27 tonha-1 and March with a potential yield of 3.62 tonha-1. (c) the appropriate planting time of paddy in Tamako ie in March with a potential yield of 3.58 tonha-1 and February with a potential yield of 3.28 tonha-1. (d) the yield of rice field paddy with the determination of planting time by using the model of Shierary Rice nearing/line with productivity results which obtained by the Central Statistics Agency (BPS) Sangihe Islands. Keywords: planting, paddy, simulation models, Shierary Rice
RESPON EVAPOTRANSPIRASI TANAMAN PADI (Oryza Sativa L.) VARIETAS PERMATA DAN SERAYU TERHADAP VARIASI KETEBALAN TANAH MENGGUNAKAN METODE SYSTEM OF RICE INTENSIFICATION (SRI) DI DESA RASI, KABUPATEN MINAHASA TENGGARA Greydi F. H. Punusingon; Daniel P. M. Ludong; Johannes E. X. Rogi
EUGENIA Vol. 27 No. 1 (2021)
Publisher : Universitas Sam Ratulangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35791/eug.27.1.2021.43258

Abstract

The purpose of this study was to calculate the amount of water required during the growth phases of the rice var. Permata and Serayu with soil layer thickness of 25 cm and 35 cm.This research was conducted in September - December 2019 in Rasi Village, Ratahan District, Southeast Minahasa Regency. The research was carried out experimentally and the observed data in the field were analyzed descriptively. This study consisted of two treatment factors, i.e. variety (Serayu and Permata) and the thickness of the cultivated soil (25 and 35 cm). The rice plants were planted in and in theiron boxes (60 X 60 cm) in the paddy fields. The total Evapotranspiration or water requirement for rice planted the iron boxeswere188 and 254 L, respectively, for soil depth of 25 and 35 cm in Serayu. For the Permata variety with a soil depth of 25 and 35 cm, the water requirement were175 and 231L, respectively.
PENGARUH PEMBERIAN PLANT GROWTH PROMOTING RHIZOBACTERIA (PGPR) PADA PERTUMBUHAN BIBIT STEK STEVIA (Stevia rebaudiana Bertoni) Gabai, Maria; Sumayku, Bertje R.A.; Tulungen, Antje Grace; Tilaar, Wenny; Rogi, Johannes E. X.; Walingkas, Stanley A.F.
EUGENIA Vol. 30 No. 3 (2024): Eugenia
Publisher : Universitas Sam Ratulangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35791/eug.v30i3.58773

Abstract

Sweetleaf stevia (Stevia rebaudiana Bertoni) is one of the potential sugar-producing plants besides sugar cane which is widely used as a natural non-calorie sweetener. Propagation of stevia by shoot cuttings produces more uniform seedlings. Plant Growth Promoting Rhizobacteria (PGPR) contains a group of beneficial bacteria that live in the plant root ecosystem that can stimulate plant growth. This study aims to determine the effect of PGPR on the growth of stevia cuttings and the best concentration of PGPR on the growth of stevia cuttings. This study was conducted in February-May 2024 in Kolongan Atas II Village, Sonder District, Minahasa Regency, North Sulawesi Province. The study used a Completely Randomized Design (RAL), with 5 treatment levels, namely P0 = Control (Without PGPR), P1 = PGPR 10 ml/liter of water, P2 = PGPR 20 ml/liter of water, P3 = PGPR 30 ml/liter of water and P4 = PGPR 40 ml/liter of water. Each treatment was repeated 4 times.The results showed that the aplication of PGPR affected the growth of stevia cuttings. The best PGPR concentration for the growth of stevia cuttings was at a PGPR treatment concentration of 20 ml/liter of water.  Keywords: plant growth promoting rhizobacteria, stevia
Co-Authors A. LUMINGKEWAS Aan A. Daradjat Antoneta Kartini Kotangon Augus Y. M. Sumajow Augus Y. M. Sumajow, Augus Y. M. Benjamin H. Mailangkay Bertje R. A. Sumayku Bonaventura R. Lienargo Budi Utomo Mondolu Charissa Maria Simbawa Chintya Gita Sartika Modeong Daniel Murdiyarso Daniel P. M. Ludong David P. Rumambi David S. Runtunuwu Deiske A. Sumilat Diane J. Kusen Diane Tiwow Dianita Rogi Edy F. Lengkong Farida Fattah, Farida Frangki Sambeka Frangky J. Paat Franly J.I. Lamia Gabai, Maria Galensong, Justio P.D. Greydi F. H. Punusingon Handoko Handoko Hanny S. G. Kembuan Indri S. Manembu Indry E, Karundeng Inkiriwang, Annatje E.B. J. H. Palendeng J. H. Panelewen J. I. KALANGI J. Tatuh Jantje ., Pongoh Jeanne . Paulus Jeanne M. Paulus Jeanne Martje Paulus Jelie Viekson Porong JOHAN A. ROMBANG Josephus I. Kalangi Kaeng, Silvana E. Khoirul Insan Kotangon, Antoneta Kartini Lamia, Franly J.I. Langimanapa S. Demmassabu Malsupri Taher Mariam M. Toding, Mariam M. Marjam Toding Marjam Toding, Marjam Master R.L. Sirait Meity R. Rantung Olivia Komansilan Paulus, James Pemmy Tumewu Peter Rene Hosang Pongoh, Jantje ., Rifaine M.N. Erungan Rifaine M.N. Erungan, Rifaine M.N. Rignolda Djamaluddin Robert . Robert Robert Rogi, Dianita Runtunuwu D. S. Runtunuwu, Semuel S. D. Runtunuwu S. David Runtunuwu S. TUMBELAKA Sakti Karokaro Sakti Karokaro, Sakti Samuel D. Runtunuwu Selvie . Tumbelaka Selvie . Tumbelaka, Selvie . Selvie G. Tumbelaka Semuel D. Runtunuwu Semuel D. Runtunuwu Semuel Runtunuwu Silvana E. Kaeng Siska J. Frans Sitti Wakiah Sofia Wantasen Stanley A.F. Walingkas Sumayku, Bertje R.A. Tiwow, Diane Tulungen, Antje Grace W. Rotinsulu Wakiah, Sitti Wenny Tilaar Wilhelmina Patty Yefta Pamandungan Yefta Pamandungan Yitenus Tabuni Yorri Y. J. Sanger YULIA PASKALINA Yunnita Rahim