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Determination of Plant Season Based on Oldeman Agri Climate Zone and Utilization of Regulation Food Crops Cropping Patterns in Kisar Island, Southwest Maluku Regency Laimeheriwa, Semuel; Madubun, Elia Leonard; Risamasu, Robby Gerald; Luhukay, Marcus
RUMPHIUS Vol 7 No 1 (2025): RUMPHIUS Pattimura Biological Journal
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/rumphiusv7i1p001-008

Abstract

Oldeman agroclimate zone is a classification system used to group areas based on rainfall distribution patterns and soil moisture potential available throughout the year. This system provides a clearer picture of which areas are suitable for certain crops based on their water needs, as well as optimizing the use of existing climate resources through cropping patterns arrangements. This study aims to identify and analyze Oldeman agroclimate zones to determine the right planting season and develop efficient food crop cropping patterns on Kisar Island. This study combines two approaches, namely descriptive and quantitative with the following analysis stages: generating rainfall data, calculating average regional rainfall, determining agroclimate zones, determining planting seasons, and arranging cropping patterns. The results of the study indicate that Kisar Island is included in Agroclimate Zone E3 with a planting season length of 7 months, starting in December and ending in June. Intercropping or mixed cropping patterns are options in corn and legume cultivation. To avoid water shortages during the reproductive phase of the plant, dryland rice planting should be carried out in the period from March to June.
Evaluation of Land Suitability for Clove (Eugenia Aromantica L) and Nut-meg (Myristica Fragrans Houtt) in Nusalaut Island Central Maluku Regency Kunu, Pieter J; Risamasu, Robby. G.; Ardiansa, Ardiansa; Laimeheriwa, Semuel
International Journal of Multidisciplinary: Applied Business and Education Research Vol. 4 No. 8 (2023): International Journal of Multidisciplinary: Applied Business and Education Rese
Publisher : Future Science / FSH-PH Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/ijmaber.04.08.20

Abstract

This research aimed to obtain land characters and qualities data and to determine land suitability for clove and nutmeg and their spatial distribution in Nusalaut Island, Central Maluku Regency. The results showed that the land suitability for clove are marginally suitable class (S3) with the coverage area is 1452.38 ha or 66.51%, and the limiting factors are water availability and nutrient retention (wa, nr) limiting factors and unsuitable class (N) of 731.52 ha or 33.50 %. While the land suitability for nutmeg are moderate suitable (S2) with root media and nutrient retention (rc, nr) limiting factors and the coverage area is 123.75 ha or 5.66%, S2nr of 409.93 ha or 18.77%, slope (S2eh) limiting factor with the coverage area is 918.7 ha or 42.1% and the unsuitable class (N) with the area of 731.52 ha or 33.50 %. The land suitability of the clove and nutmeg is located in the Other Used-Areas (APL) with the area of 2183.63 ha, while total land units in the study area is 2697 ha.
Rainfall Anomaly and Its Effect on the Clove Productivity in Two Regions with Different Rain Pattern In Maluku Manullang, Sovya M M; Laimeheriwa, Samuel; Amba, Martha
JURNAL BUDIDAYA PERTANIAN Vol 19 No 1 (2023): Jurnal Budidaya Pertanian
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/jbdp.2023.19.1.48

Abstract

Clove production in Maluku fluctuates from year to year, one of which is influenced by rainfall anomalies. This study aimed of describing extreme rainfall events and analyzing the relations between rainfall and clove productivity in two areas with different rainfall patterns in Maluku. This study used a survey method by using interviews and Focus Group Discussions with several farmer respondents as well as collecting climatic data from related agencies. Data analysis was divided into rainfall data generation, rainfall analysis in extreme conditions, and regression analysis to assess the effect of rainfall on clove productivity. The results showed that a very extreme El Nino event caused a decrease in rainfall on Nusalaut Island by 1868 mm or 57% of its normal condition, and in Air Buaya District by 875 mm or 42% of its normal condition. Very extreme La Nina events caused rainfall to increase in Nusalaut Island by 2059 mm or 62% of its normal condition, and in Air Buaya District by 1193 mm or 37% of its normal condition. The results of the regression analysis showed that the value of the coefficient of determination (R²) for Nusalaut Island by 84.8% and for Air Buaya District by 70.8%; this shows that rainfall has a significant effect on clove productivity.
Analisis Evaluasi Kesesuaian Lahan Beberapa Komoditas Pertanian Tanaman Pangan di Pulau Nusalaut Kabupaten Maluku Tengah Laimeheriwa, Semuel; G. Risamasu, Robby; Tomasoa, Reni; Jambormias, Edison
Jurnal Indonesia Sosial Sains Vol. 3 No. 11 (2022): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v3i11.729

Abstract

This research was conducted on Nusalaut Island, Central Maluku Regency, aiming to determine the land suitability class of several food crop commodities. Data collection and analysis methods include: (1) analysis of thematic maps, (2) preparation of Land Unit Maps (PSL), (3) field checking using the field survey method, which uses independent survey techniques; (4) observation of land characteristics and quality in each land unit, and (5) analysis of land characteristics and quality in each land unit. The follow-up analysis is in the form of: (1) determining the level of land suitability and (2) producing a map of land suitability classes for food crop commodities on the island of Nusalaut. The results of the assessment of land suitability class on food crops cassava, sweet potato, and corn included in the category of marginally suitable class (S3) with limiting factors of water availability (wa), rooting media (rc), slope (eh) and unsuitable class (N). Cassava plantations had a marginally suitable class (S3) with a limiting factor (wa, rc) of 1452.4 ha or 66.51% and for an unsuitable class (N) of 731.52 ha or 33.50%. Sweet potato plants have a marginally suitable class (S3) with a limiting factor (wa, rc, eh) covering an area of ​​1452.38 ha or 66.5% and for an unsuitable class (N) an area of ​​731.52 ha or 33.50%. Corn plants have a marginal suitable class (S3) with a limiting factor (wa, rc) covering an area of ​​1452.38 ha or 66.5% and for an unsuitable class (N) an area of ​​731.52 ha or 33.50%.
Anomali Iklim El Nino dan Dampaknya Terhadap Neraca Air Lahan Jagung di Pulau Babar, Kabupaten Maluku Barat Daya Marthini K. Lesilolo; Semuel Leimeheriwa; Elia L. Madubun
AGROLOGIA: Jurnal Ilmu Budidaya Tanaman Vol 13 No 1 (2024): Agrologia : Jurnal Ilmu Budidaya Tanaman
Publisher : Fakultas Pertanian, Universitas Pattimura Ambon, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/agrologia.v13i1.12487

Abstract

Musim tanam akan semakin pendek karena berkurangnya ketersediaan airtanah akibat fenomena El Nino. Dalam konteks ini, telah dilakukan penelitian yang menggambarkan kejadian, intensitas, dan frekuensi peristiwa El Nino serta mengkaji pengaruhnya terhadap neraca air jagung di Pulau Babar. Data iklim, koefisien tanaman jagung, ENSO History, dan data pendukung dikumpulkan untuk selanjutnya dianalisis. Analisis data diawali dengan pembangkitan data curah hujan, dilanjutkan dengan analisis kondisi curah hujan El Nino, dan analisis neraca air lahan jagung. Berdasarkan hasil penelitian, di Pulau Babar telah mengalami delapan episode El-Nino, rata-rata setiap empat tahun selama tiga puluh tahun terakhir. Jagung dapat ditanam dua kali setahun di Pulau Babar pada kondisi curah normal atau rata-rata, dan hanya bisa ditanam setahun sekali saat terjadi El Nino
Kondisi Iklim dan Pengaruhnya Terhadap Produksi Tanaman Pala (Myristyca fragrans Houtt) di Kepulauan Banda, Provinsi Maluku Semuel Laimeheriwa; Herman Rehatta; Johana Audrey Leatemia
AGROLOGIA: Jurnal Ilmu Budidaya Tanaman Vol 13 No 2 (2024): Agrologia : Jurnal Ilmu Budidaya Tanaman
Publisher : Fakultas Pertanian, Universitas Pattimura Ambon, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/agrologia.v13i2.15477

Abstract

Hampir semua variabel iklim berpengaruh terhadap tanaman pala; diantaranya curah hujan, suhu udara, kelembaban udara dan lama penyinaran surya. Penelitian ini bertujuan untuk melihat pengaruh variabel iklim terhadap produksi pala di Kepulauan Banda, Kabupaten Maluku Tengah. Data yang dianaisis berupa gambaran kondisi iklim wilayah menggunakan teknik rata-rata aljabar, dan hubungan variabel iklim curah hujan, suhu udara, kelembaban udara, dan lama penyinaran surya dengan produksi pala menggunakan persamaan regresi. Hasil penelitian menunjukkan bahwa Kepulauan Banda yang memiliki pola hujan lokal dengan curah hujan rata-rata tahunan sebesar 2833 mm; mencapai puncaknya dalam Mei-Juni sebesar 381 – 444 mm, dan terendah 101 – 109 mm dalam bulan Agustus-September. Variabel iklim curah hujan memberikan sumbangan tertinggi bagi produksi pala yaitu sebesar 67,64 %, sedangkan yang paling rendah yaitu variabel iklim suhu udara yaitu 27,34 %.
Strategy for determining hotong (Setaria italica) planting time based on land water balance study on Yamdena Island, Maluku, Indonesia JEANNE I. NENDISSA; SEMUEL LAIMEHERIWA; ROBBY G. RISAMASU
Asian Journal of Agriculture Vol. 10 No. 1 (2026)
Publisher : Smujo International

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/asianjagric/g100167

Abstract

Abstract. Nendissa JI, Laimeheriwa S, Risamasu RG. 2026. Strategy for determining hotong (Setaria italica) planting time based on land water balance study on Yamdena Island, Maluku, Indonesia. Asian J Agric 10 (1): g100167. https://doi.org/10.13057/asianjagric/g100167. Food security in archipelagic regions still faces significant challenges due to limited food distribution, high dependence on seasonal rainfall, and low diversification of local food sources. One potential commodity that can support food independence in the region is hotong (Setaria italica), which is known to have high adaptability to marginal land conditions and limited agricultural inputs. However, hotong productivity on Yamdena Island, Maluku, Indonesia, is still relatively low, mainly due to the lack of determination of planting time that is in accordance with climate dynamics and soil water availability. This study aims to determine the optimal planting period for hotong through a land water balance analysis approach. The data used include rainfall for 30 years (1995-2024), other climate parameters for 15 years (2010-2024), and soil physical properties data, namely field capacity, permanent wilting point, and water holding capacity, plus crop coefficient values. The analysis was carried out by calculating 75% probability rainfall using the rank ordering method, estimating potential evapotranspiration using Cropwat 8.0 software, and integrating all parameters in a land water balance model based on the Thornthwaite and Mather method. Simulation results from 12 planting scenarios indicate that the planting period from December-March to March-June is the safest for hotong cultivation because soil water conditions remain optimal (≥112.5 mm) without deficits. April-July is still possible with small deficits, while May-November is high risk due to large deficits (90-380 mm) and drought during the critical phase. Statistical analysis using one-way ANOVA revealed significant differences in water deficit among planting scenarios (F=58.47, p<0.001), confirming that early rainy season planting significantly reduces water stress. Therefore, planting at the beginning of the rainy season is recommended to maintain productivity, while serving as a scientific basis for developing an adaptive planting calendar for local food development in archipelagic regions.