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All Journal JTSL (Jurnal Tanah dan Sumberdaya Lahan) Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Jurnal Geografi Spatial : Wahana Komunikasi dan Informasi Geografi Jurnal ABDINUS : Jurnal Pengabdian Nusantara Lingue : Jurnal Bahasa, Budaya, dan Sastra INSECTA: Integrative Science Education and Teaching Activity Journal Lani: Jurnal Kajian Ilmu Sejarah dan Budaya Jurnal Spasial: Penelitian, Terapan Ilmu Geografi dan Pendidikan Geografi GEOFORUM Jurnal Geografi dan Pendidikan Geografi Jurnal Pendidikan Geografi Unpatti JENDELA PENGETAHUAN Jurnal Pengabdian kepada Masyarakat Arumbai Jurnal Geografi, Lingkungan dan Kesehatan Jurnal Pengabdian kepada Masyarakat Arumbai
Lasaiba, Mohammad Amin
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Sosialisasi Inovatif Pembelajaran Geografi Berbasis Deep Learning untuk Meningkatkan Minat dan Pemahaman Siswa Manakane, Susan Evelin; Lasaiba, Mohammad Amin; Asep, Asep; Ansiska, Paisal; Halatu, Yosepus Anthony; Pinoa, Herwic
Jurnal Pengabdian Arumbai Vol 3 No 1 (2025)
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/arumbai.vol3.iss1.pp110-117

Abstract

The development of artificial intelligence technology, particularly deep learning, provides significant opportunities to enhance the effectiveness of Geography learning. This socialization activity was conducted at SMA Negeri 3 Ambon City to equip teachers with the ability to integrate deep learning into the learning process to make it more engaging and adaptive to students’ needs. The method used was a participatory approach through theoretical sessions, practical application, interactive discussions, and questionnaire-based evaluation. Results showed that 88% of participants displayed high enthusiasm, 85% improved their understanding, and 78% felt ready to apply the technology in teaching. The activity demonstrated that practice-based training effectively enhances teachers’ competence in the digital era. It implies that such programs should be promoted as models for strengthening teacher professionalism through the integration of modern learning technologies in secondary education.
Pelatihan Pemetaan Spasial Bencana Alam bagi Guru dan Siswa SMA di Wilayah Kepulauan Lasaiba, Mohammad Amin; Sihasale, Daniel Anthoni; Osok, Rafael Marthinus
Jurnal Pengabdian Arumbai Vol 3 No 2 (2025)
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/arumbai.vol3.iss2.pp159-169

Abstract

Spatial mapping training for teachers and students in island regions was conducted to strengthen schools’ capacity to understand environmental risks through geospatial technology utilization. This activity was motivated by limited data access and low spatial literacy in coastal schools vulnerable to disasters. It aimed to enhance teachers’ and students’ skills in identifying, mapping, and analyzing potential hazards around school environments. The participatory and collaborative approach involved training sessions, field practices, and digital mentoring using open-source software. The results showed significant improvements in spatial literacy, risk analysis ability, and school autonomy in developing local risk maps. The community-based spatial training model strengthened school disaster preparedness and fostered an inter-school collaborative network. This approach provides scientific contribution to applied disaster education. Its implication encourages local governments and educational institutions to replicate similar programs sustainably.
Analisis Kebutuhan dan Kualitas Air Bersih Tupapa di Desa Sumeith Pasinaro Kecamatan Elpaputih Kabupaten Seram Bagian Barat Pulamajen, Feronika; Leuwol, Ferdinand Salomo; Lasaiba, Mohammad Amin
Jurnal Pendidikan Geografi Unpatti Vol 4 No 3 (2025)
Publisher : Program Studi Pendidikan Geografi FKIP Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/jpguvol4iss3pp499–514

Abstract

This study is grounded in the growing challenges of clean water management in small island regions, where ecological degradation and limited sanitation infrastructure threaten community health. Although water availability in Sumeith Pasinaro Village remains sufficient, its quality does not meet health standards, particularly in microbiological aspects. The study aims to analyze the relationship between household water demand and water quality while identifying social, ecological, and institutional factors influencing water sustainability. Using a qualitative case study approach, data were collected through field observations, in-depth interviews, and laboratory analysis from two sampling points at the Tupapa water source. The findings indicate that microbiological contamination results from poor sanitation awareness, degradation of catchment vegetation, and the absence of proper water treatment systems. Conversely, the physical and chemical quality remains acceptable. The study contributes to developing a community-based water management framework that integrates ecological conservation, sanitation education, and indigenous cultural values. These insights advance the theoretical understanding of socio-hydrological resilience in island contexts.
Evaluation of Settlement Land Suitability Based on Remote Sensing and Geographical Information Systems in The City of Ambon Lasaiba, Mohammad Amin
Jurnal Spatial Wahana Komunikasi dan Informasi Geografi Vol. 23 No. 1 (2023): Spatial : Wahana Komunikasi dan Informasi Geografi
Publisher : Department Geography Education Faculty of Social Science - Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/spatial.231.006

Abstract

The increasing need for settlement land has led to different suitability-based uses. This study evaluates land suitability for settlement, limiting factors, and development priorities. The methods used is qualitative with spatial analysis and quantitative with grading based on land units. This study uses Landsat 8 OLI/TIRS data, SRTM DEM, administrative maps, soil types, lithology, and landforms. Data was analyzed based on satellite imagery, approximations, and overlays. The study results show that processing satellite imagery with reasonable accuracy. For land suitability for settlements, the very unsuitable class is dominated by an area of 23592.48 acres, while the very suitable place is 6033.39 acres. For the direction of settlement development, priority I covers an area of 3,181.34 acres, priority II covers an area of 2,852.05 acres, and priority III covers an area of 8,237.89 acres. The findings in this study can be seen in the development of settlements in the regions that are not suitable (D2 II Pm), covering an area of 204.19 acres. Therefore, local governments need to apply regional regulations strictly to create land sustainability and prevent any impacts that may arise.
ANALISIS KEMAMPUAN LAHAN PADA SATUAN WILAYAH PENGEMBANGAN DI KOTA AMBON Lasaiba, Mohammad Amin; Tetelepta, Edward Gland; Riry, Roberth Berth; Lasaiba, Irvan
Jurnal Tanah dan Sumberdaya Lahan Vol. 11 No. 1 (2024)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtsl.2024.011.1.8

Abstract

Optimizing land use plans is carried out for land capabilities that are useful for conserving land resources so that they can reduce the problem of land degradation. This study aimed to assess the level of land capacity and determine the function of both protected and cultivated areas in Development Area Units (SWP). The method used in the research is quantitative descriptive, consisting of data collection and processing stages. Data collection was carried out through literature studies from several related agencies. Meanwhile, spatial data analysis was carried out using Geographic Information System (GIS) software. The results of the research showed that the analysis of land capacity, especially for determining the function of areas for settlement, reached 3,687.35 ha and the buffer area was around 11,755.27 ha. This indicates that only a small portion of suitable areas can be developed for urban development. This is due to the physical limiting factors of the land where the characteristics of the Ambon City area are dominated by hilly areas.
ANALISIS SPASIAL DAYA DUKUNG LAHAN DAN PERTUMBUHAN PERMUKIMAN DI KECAMATAN SIRIMAU Lasaiba, Mohammad Amin; Ansiska, Paisal; Tetelepta, Edward Gland
Jurnal Tanah dan Sumberdaya Lahan Vol. 11 No. 2 (2024)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtsl.2024.011.2.8

Abstract

Population growth and urbanization pose challenges in maintaining sufficient land carrying capacity. This research aims to analyze land carrying capacity and urban development in Sirimau District, Ambon City. Data collection methods involve direct observation and document collection. Data analysis utilizes a quantitative descriptive approach and spatial analysis with overlays of relevant parameters. The results show that the most significant growth occurs in Batu Merah Village. Land carrying capacity calculations reveal an average decrease in residential land carrying capacity. In 2022, Ahusen Village, Rijali Village, and Galala Village recorded a decrease in land carrying capacity below 1, indicating that these areas can no longer accommodate the population residing there. This suggests that population pressure and unchecked urban growth negatively impact land carrying capacity. Sustainable management measures, such as prudent urban spatial planning, protection of green areas, and appropriate infrastructure development, must be implemented.
Pengaruh Ketimpangan Pendapatan Dan Produktivitas Pertanian Terhadap Kemiskinan Di Provinsi Maluku Lasaiba, Mohammad Amin
Jurnal Geografi, Lingkungan dan Kesehatan Vol 1 No 1 (2023): Jurnal Geografi, Lingkungan dan Kesehatan
Publisher : Program Studi Pendidikan Geografi Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/jglk.1.1.9980

Abstract

The issues of poverty, income inequality, and agricultural productivity are global problems that are still the main focus in many countries around the world. These three factors are interrelated and present complex and multidimensional challenges in sustainable economic development. This study aimed to examine the relationship between income inequality, agricultural productivity, and poverty in Maluku Province from 2018 to 2021. This study used a quantitative approach, and secondary data was taken from the Central Bureau of Statistics (BPS) using time series data. To test the hypothesis, the Ordinary Least Square (OLS) method was used in multiple regression analysis with SPSS 25.0 software. Before carrying out the regression analysis, the data is tested first with classical assumptions. The results showed no insignificant relationship between the poverty variable (Km) and income inequality variable (KP). There is a positive relationship between KP and changes in poverty, where the increase in KP is directly proportional to the increase in poverty and vice versa. However, there is no significant relationship between the variables Km and Agricultural Productivity (PP), so the effect of PP on Km is very small. The KP and PP variables have a relationship of 73.1% and an influence of 57.1% on the KM variable in Maluku Province in 2018-2021
ENHANCING ACADEMIC ACHIEVEMENT THROUGH THE APPLICATION OF THE 5E LEARNING CYCLE MODEL Lasaiba, Mohammad Amin; Lasaiba, Djamila
INSECTA: Integrative Science Education and Teaching Activity Journal Vol. 5 No. 1 (2024)
Publisher : Science Education, Institut Agama Islam Negeri Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21154/insecta.v5i1.8518

Abstract

This study aims to evaluate the effectiveness of the 5E learning cycle model in improving student learning outcomes and their engagement in the learning process. The research adopts the Classroom Action Research method, conducted at SMA Muhammadiyah Ambon, with a sample from Class XI through random sampling. Data collection includes observation, tests, and documentation. Research instruments comprise observation sheets guiding the investigation, tests assessing students' mastery level, and documentation gathering relevant materials about the research context. Data analysis involves both qualitative and quantitative methods. Quantitative analysis processes numerical data, while qualitative analysis involves reduction, display, and verification. The research findings highlight the effectiveness of the 5E learning cycle model in enhancing student learning outcomes and engagement. Throughout the cycles, there is a noticeable increase in learning completeness based on cognitive assessments. There was a significant increase of 72.5% in Cycle I, and this trend further substantially increased in Cycle II by 85.0%. Performance assessments also reflected these positive trends, showing a 75.0% increase in the first Cycle and a significant 87.5% improvement in the second. This study, marked by its effectiveness, successfully concluded at the end of Cycle II. This success is evident in applying the learning model, the learning process involving teacher and student activities, and the overall improvement in student learning outcomes across cognitive components. The 5E learning cycle model holds significance in Education, emphasizing student-student-centred Learning. Therefore, it is recommended that the 5E learning cycle model be implemented sustainably in educational activities to create a dynamic learning environment and enhance overall learning outcomes.
Assessment of Landslide Vulnerability in Urban Areas Using GIS and Remote Sensing: A Study in Ambon City Lasaiba, Mohammad Amin; Tetelepta, Edward Gland; Ansiska, Paisal
JURNAL GEOGRAFI Vol. 16 No. 1 (2024): JURNAL GEOGRAFI
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jg.v16i1.41978

Abstract

Slope stability and land movements, commonly referred to as landslides, are natural hazards that involve the shifting of materials like soil, rock, and debris, primarily caused by the force of gravity. This research utilized both qualitative and quantitative approaches, focusing on spatial analysis by examining primary and secondary data derived from satellite imagery, observations, and pertinent institutions. Processing of the collected data using specialized software like Global Mapper 20, ArcGIS 10.8.1, and ER Mapper 8.1. The findings of this investigation disclosed that a significant portion of Ambon City, roughly 51.63% of its area, exhibited high susceptibility to landslides. Conversely, only about 16.26% of the total area demonstrated very low or low vulnerability. Similar trends were observed in urbanized regions, where the majority, around 39.01%, were classified as highly vulnerable (Z-4). In contrast, approximately 35.09% showed very low vulnerability (Z-1), and 11.89% depicted low vulnerability (Z-2). The study's findings clearly highlight a critical situation in Ambon City, where a substantial 89% of its territory, characterized by mountainous landscapes, is experiencing a markedly increased frequency of landslides. Given these concerning insights, it is absolutely essential for government authorities to engage in rigorous spatial planning. This should involve redirecting development efforts towards areas identified as safer, away from high-risk zones. Furthermore, the government must enforce and adhere to policies that not only mitigate landslide risks but also promote sustainable development, ensuring the long-term safety and resilience of Ambon City against such natural disasters.Keywords: Mapping, Landslide, Vulnerability, Build Area
Kajian Peran Masyarakat dalam Pengelolaan Sumber Daya Alam di Kawasan Desa Hatu Kecamatan Leihitu Barat Kabupaten Maluku Tengah Matly, Maria Lidwina; Sihasale, Daniel Anthoni; Lasaiba, Mohammad Amin
JENDELA PENGETAHUAN Vol 19 No 1 (2026): JENDELA PENGETAHUAN
Publisher : Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/jp19iss1pp24-34

Abstract

This study was motivated by the increasing pressure on natural resources in coastal and forest areas of Maluku, demanding a community-based approach to maintain ecosystem sustainability. The research aims to analyze the role of Hatu Village’s community in natural resource management through the traditional sasi system and its collaboration with the village government. A qualitative descriptive method was applied using participatory observation, in-depth interviews, and documentation to understand social dynamics, cultural values, and ecological practices. The findings show that the community actively maintains ecological balance through sasi implementation, customary forest supervision, and environmental education based on local values. Customary institutions such as kewang serve effectively as moral and social regulators in environmental governance. The study confirms that the integration of customary systems and village policies creates adaptive, efficient, and equitable ecological governance. It implies the necessity of formal recognition of customary institutions in conservation policies
Co-Authors Abdul Muin Ahmad Rifai Ansiska, Paisal Asep Gland Tetelepta, Edward Halatu, Yosepus Anthony Kelibia, Zaqia Zulfa Lasaiba, Djamila Lasaiba, Irvan Leuwol, Ferdinand Salomo Maruwemay, Merel Matly, Maria Lidwina Nurlaila Tuanany, Nurlaila Osok, Rafael Marthinus Partini, Dwi Pinoa, Herwic Pinoa, Wiclif Sephnath Pulamajen, Feronika Rahangmetan, Delly Angel Patrecia Riry, Roberth Berth Roberth Berthy Riry Rumodar, Ida Royani Salomo Leuwol, Ferdinand Sapulette, Pricilla Jecika Gland Sarbunan, Maria E. J. Sihasale, Daniel Anthoni Silaratubun, Seli U Susan E. Manakane, Susan E. Tetelepta, Edward Gland Ungalesi, Surita