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All Journal Jurnal SEPA (Social Economic and Agribusiness Journal) AGROLOGIA : Jurnal Ilmu Budidaya Tanaman JURNAL BUDIDAYA PERTANIAN Community Development Journal: Jurnal Pengabdian Masyarakat International Journal of Multidisciplinary: Applied Business and Education Research Jurnal Indonesia Sosial Sains Jurnal Agrosilvopasture-Tech Innovative: Journal Of Social Science Research Jurnal Pertanian Kepulauan Rumphius Pattimura Biological Journal
Laimeheriwa, Semuel
Fakultas Pertanian Universitas Pattimura
Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Environmental Science Health Professions Immunology & microbiology Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Medicine & Pharmacology Neuroscience Physics Public Health Social Sciences Other

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Analisis Peluang Kejadian Deret Hari Kering Selama Musim Tanam Efektif pada Periode El Nino di Pulau Ambon Laimeheriwa, Semuel; Amba, Martha; Putri, Nisrina Intan
JURNAL PERTANIAN KEPULAUAN Vol 9 No 1 (2025): Jurnal Pertanian Kepulauan
Publisher : Fakultas Pertanian, Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/jpk.2025.9.1.1

Abstract

Spell analysis is one of the indicators that can be used to measure the level of vulnerability of a region to drought. This study aims to determine the chances of a series of dry days during the effective growing season during El Niño on Ambon Island. Data analysis was carried out with the following stages: (1) calculating rainfall probability at 75% using the ranking order method and potential evapotranspiration using the Penman-Monteith method in the Cropwat 8.0 Program package, (2) calculating land water balance and determining the effective growing season based on optimum soil water content, and (3) determining the years of El Niño occurrence and the chances of a series of dry days. The results of the study showed that the effective growing season on Ambon Island lasted for 7 months, from April to October. The El Niño event on Ambon Island during the period 1979–2023 tends to occur once every three years. The chances of a series of dry days ≥ 5 days during the growing season ranged from 56 to 88%; ≥ 10 days: 27 to 88%; ≥ 15 days: 7 to 80%; and ≥ 20 days: 0 to 47%. Keywords: dry spell, growing season, El Niño, Ambon Island
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%.
Co-Authors Amba, Martha Ardiansa, Ardiansa August Ernst Pattiselanno Edison Jambormias Edison Jambormias Eklesia D. Rarsina Erika Tentua Esterlina Kelbulan G. Risamasu, Robby Herman Rehatta Ilyas Marzuki Imelda Jeanette Lawalata Jamadin Biloro Jenly F Uspessy Johana Audrey Leatemia Junianita Fridianova Sopamena Lamerkabel, J. S. A. Lingga, Sandivo Luhukay, Marcus Madubun, Elia L. Madubun, Elia Leonard Manullang, Sovya M M Martha Amba Merson Panggua Mitha Pangaribuan Patty, Jacob R Pieter J Kunu Putri, Nisrina Intan Rahmadini, Nova Reni Tomasoa Rhony E Ririhena Risamasu, Robby G Risamasu, Robby. G. Simamora , Ridoni Siti Lailatul Nangimah Sitorus, Bangga Tomasoa, Reni Tomasoa, Reny