Article Per Year (5 Year)
p-Index From 2021 - 2026
7.416
P-Index
This Author published in this journals
All Journal ILMU KELAUTAN: Indonesian Journal of Marine Sciences Saintek Perikanan : Indonesian Journal of Fisheries Science and Technology Jurnal Kesehatan Lingkungan indonesia Journal of Marine Research NIKe Jurnal Ilmiah Perikanan dan Kelautan | Fisheries and Marine Scientific Journal Jurnal Kelautan : Indonesian Journal of Marine Science and Technology Jurnal Perikanan dan Kelautan Jurnal Ilmu Kelautan Spermonde Aceh Journal of Animal Science ZOO INDONESIA Jurnal Dinamika Pengabdian (JDP) Jurnal Sumberdaya Akuatik Indopasifik JFMR (Journal of Fisheries and Marine Research) Acta Aquatica: Aquatic Sciences Journal Jurnal Pengelolaan Perikanan Tropis (Journal Of Tropical Fisheries Management) Jurnal Agroqua: Media Informasi Agronomi dan Budidaya Perairan Biosel: Biologi Science and Education Indonesian Fisheries Research Journal Martabe : Jurnal Pengabdian Kepada Masyarakat Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Biota Jurnal Abdi Insani Tomini Journal of Aquatic Science Zoo Indonesia Habitus Aquatica : Journal of Aquatic Resources and Fisheries Management ACROPORA: Jurnal Ilmu Kelautan dan Perikanan Papua Depik Jurnal Ilmu-Ilmu Perairan, Pesisir dan Perikanan Depik Jurnal Ilmu-Ilmu Perairan, Pesisir, dan Perikanan Journal of Fisheries & Marine Jurnal Perikanan Damhil: Jurnal Pengabdian kepada Masyarakat Journal of Tropical Diversity Biodiversitas Journal of Biological Diversity
Nuralim Pasisingi
Universitas Negeri Gorontalo
Agriculture, Biological Sciences & Forestry Arts Humanities 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 Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Public Health Social Sciences Other

Published : 66 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 66 Documents
Search

 3   4   5   6   7 
Spatial Variation and Community Structure of Trichoptera Larvae as a Basis for Biomonitoring in the Bone River, Gorontalo Miftahul Khair Kadim; Nuralim Pasisingi; Abdul Hafidz Olii
Biosel Biology Science and Education Vol. 15 No. 2 (2026): BIOSEL (Biology Science and Education: Jurnal Penelitian Sains dan Pendidikan)
Publisher : INSTITUT AGAMA ISLAM NEGERI AMBON

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33477/bs.v15i2.13838

Abstract

This study aimed to examine the community structure of Trichoptera larvae in the Bone River, Gorontalo (Indonesia), by evaluating family-level composition, dominance patterns, and spatial variation across five sampling stations (St.1-St.5). Trichoptera larvae were collected using standardized sampling methods, identified to the family level, and analyzed using multiple diversity metrics, including the Shannon, Simpson, Evenness, and Margalef indices. Differences in taxon richness among stations were assessed using rarefaction analysis, while community structure patterns were further explored using multivariate approaches based on Bray–Curtis dissimilarity, non-metric multidimensional scaling (NMDS), and hierarchical cluster analysis. A total of 754 individuals representing eight families were identified. Hydropsychidae strongly dominated the community, accounting for more than 70% of the total individuals. Diversity indices revealed spatial variation in community balance, with Station 5 exhibiting the highest diversity and evenness values, indicating a relatively more balanced community structure. Rarefaction analysis suggested that differences in richness were not solely driven by sampling effort. Multivariate analyses based on Bray-Curtis dissimilarity, hierarchical clustering, and NMDS demonstrated spatial differentiation in community composition along the river gradient, largely associated with variations in family dominance. Water quality parameters (temperature, pH, and dissolved oxygen) were within national quality standards, indicating conditions generally supportive of aquatic life. The observed variation in community structure therefore likely reflects local habitat dynamics rather than broad physicochemical stress. This study provides baseline data on Trichoptera communities in the Bone River and highlights the ecological importance of Hydropsychidae in shaping community structure, supporting the potential application of Trichoptera as biomonitoring indicators in riverine ecosystems.  Keywords: Trichoptera, River, Community Structure, Spatial Variation, Biomonitoring
Coastal Tourism Development Based on the Tourism Suitability Index and Carrying Capacity at Dulanga Beach, Bongo Village Jihan Jihan; Nuralim Pasisingi; Sri Fitriani Monoarfa; Sitty Ainsyah Habibie; Agustina Agustina; Sandrianto Djunaidi
Tomini Journal of Aquatic Science VOLUME 4 ISSUE 1, NOVEMBER 2025
Publisher : Gorontalo State University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/tjas.v4i1.41306

Abstract

Dulanga Beach in Bongo Village, Gorontalo Regency, holds considerable coastal tourism potential but has not been developed optimally. This study assessed the tourism suitability index and carrying capacity of Dulanga Beach as a basis for sustainable tourism development. A field survey was conducted at three stations, measuring ten beach tourism suitability parameters: water depth, beach type, beach width, bottom substrate, current velocity, beach slope, water clarity, coastal land cover, dangerous biota, and freshwater availability. Data were analysed using a weighted coastal tourism suitability index following Yulianda (2019). Dulanga Beach was classified as highly suitable (S1) for coastal tourism, with station suitability indices of 2.75–2.83 (all TSI ≥ 2.5). The utilizable beach length was 377.77 m, with a maximum carrying capacity of 30 persons per day. These results indicate that Dulanga Beach has strong potential for sustainable coastal tourism development, with physical characteristics that support beach recreation activities
Analysis of the Relationship between Income and Savings Ratio on the Welfare Level of Fishermen in the Gorontalo Bay Coast Aksal Hilimi; Nuralim Pasisingi; Sitty Ainsyah Habibie
Tomini Journal of Aquatic Science VOLUME 5 ISSUE 1, MAY 2026
Publisher : Gorontalo State University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/tjas.v5i1.36776

Abstract

The capture fisheries sector plays an important role in the economy of coastal communities, but the welfare of fishermen remains vulnerable due to income fluctuations and limited household financial management. This study aims to analyze the relationship between income and savings ratio with the welfare level of fishermen in the coastal area of Gorontalo Bay. The study uses a quantitative approach with a survey method of 111 fishermen selected using the Slovin formula with a 10 percent error rate. Data were collected through structured interviews using questionnaires, then analyzed descriptively and through Spearman's correlation test. The results show that most fishermen have an income ≥ Gorontalo City minimum wage, but the majority do not have savings. The general welfare level of fishermen is in the high category based on indicators from the Central Statistics Agency. The correlation test showed that income had a positive and significant relationship with welfare (correlation coefficient of 0.486; significance of 0.000), while the savings ratio showed a positive but insignificant relationship (correlation coefficient of 0.149; significance of 0.120), indicating that savings did not yet reflect the welfare of fishermen's households in real terms. These findings confirm that the welfare of fishermen is more closely related to income than to savings.
Hubungan antara Pemanfaatan Aset Perikanan Terhadap Tingkat Pendapatan Nelayan di Teluk Gorontalo Muhammad Adysubarkah; Nuralim Pasisingi; Sitty Ainsyah Habibie
The NIKe Journal VOLUME 14 ISSUE 3 | SEPTEMBER 2026
Publisher : Fakultas Kelautan dan Teknologi Perikanan - Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/nj.v14i3.36586

Abstract

Penelitian ini bertujuan untuk menganalisis hubungan antara pemanfaatan aset perikanan dengan tingkat pendapatan nelayan di Teluk Gorontalo. Pemanfaatan aset dalam penelitian ini didefinisikan sebagai kepemilikan dan penggunaan aset fisik serta teknologi penangkapan, yang mencakup kapal, alat tangkap, cool box, dan GPS. Penelitian menggunakan pendekatan kuantitatif dengan metode survei terhadap 111 nelayan yang dipilih secara purposive sampling. Data dikumpulkan melalui kuesioner dan wawancara, kemudian dianalisis menggunakan statistik deskriptif dan uji korelasi Pearson. Hasil penelitian menunjukkan bahwa alat tangkap yang paling banyak digunakan adalah pancing ulur (56%), dan sebagian besar nelayan telah memanfaatkan cool box (80%), sementara penggunaan GPS masih relatif rendah (29%). Sebanyak 54% nelayan memiliki pendapatan setara atau di atas Upah Minimum Regional (UMR). Hasil uji korelasi Pearson menunjukkan adanya hubungan positif dan signifikan antara pemanfaatan aset perikanan dan tingkat pendapatan nelayan dengan nilai koefisien korelasi sebesar 0,486 (p < 0,05) yang berada pada kategori sedang. Temuan ini mengindikasikan bahwa peningkatan pemanfaatan aset cenderung diikuti oleh peningkatan pendapatan, meskipun terdapat faktor eksternal lain yang turut memengaruhinya.
Analysis of shoreline changes in the city of Gorontalo using remote sensing technology Musdalifah H. Mahua; Faizal Kasim; Nuralim Pasisingi
Acta Aquatica: Aquatic Sciences Journal Vol. 11 No. 1 (2024): Acta Aquatica: Aquatic Sciences Journal
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/aa.v11i1.12169

Abstract

Coastal areas are essential for economic activities but are also vulnerable to environmental changes caused by human activities. Remote sensing technology can help monitor shoreline changes efficiently and accurately related to the spatial-temporal dynamics of the local area's coastline, which is needed to develop an effective coastal management strategy. By using the Modified Normalized Difference Water Index (MNDWI) water index method for shoreline extraction, the results show that the addition of coastal areas (accretion) as part of the dominant process for coastal equilibrium in almost all coastal regions in Gorontalo City during the 2000-2022 period, experienced trend acceleration significantly during the 2015-2022 period with an increase in the accretion rate of 60.15%. The accretion rate in this period has resulted in an increase in the land area of the coastal zone by 425.44% compared to the accretion that occurred during the 2000-2015 period. The findings of this study can be used as a basis for further research regarding the impact of human activities on coastal ecosystems and the effectiveness of coastal management strategies for Gorontalo City.Keywords: Google earth engine; coastal equilibrium; landsat; sentinel-2; MNDWI
Macrozoobenthic community as a bioindicator for the water quality of the Bone River, Gorontalo Miftahul Khair Kadim; Nuralim Pasisingi; Paramita Mursalim; Indah Rianti Arbi
Acta Aquatica: Aquatic Sciences Journal Vol. 11 No. 3 (2024): Acta Aquatica: Aquatic Sciences Journal
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/aa.v11i3.16439

Abstract

The Bone River faces potential pollution due to human activities in the surrounding area. To ensure this, macrozoobenthic is used as a bioindicator, utilizing the characteristics of its constituent communities, which show sedentary behaviour, limited mobility, and sensitivity to water conditions. This research aims to examine the composition of the macrozoobenthic community which reflects the water quality of the Bone River. The research was conducted from May to August 2023 at three observation stations. Water quality evaluation used the Hilsenhoff Family Biotic Index (FBI) methodology. The findings revealed a collection of 1,040 individuals representing 43 macrozoobenthic genera, with Trichoptera, Ephemeroptera, and Diptera widely distributed along the river. A dominance index of 0.2 indicates that there is not a single macrozoobenthic species that dominates, while an FBI value ranging from 3.71 to 5.47 indicates that there is pollution in the Bone River.Keywords: Bioindicator; Family Biotic Index; Macrozoobenthic; River; Water quality
Co-Authors ., JULIANA Abdul Hafidz Olii Abdul Rahman Abudi Ade Irma Polamolo Afriani R. Paramata Agung Pamuji Rahayu Agustina Agustina Aksal Hilimi Antonio Sinulingga, Luis Asri Silvana Naiu ASUS MAIZAR SURYANTO HERTIKA Ayinda Kristi Tiopo Aziz Salam Baid, Ilham Bilale, Mohamad Sahril Butolo, Ivana Citra Panigoro Deni Sabriyati DEWI WAHYUNI K. BADERAN DIANA ARFIATI DWY SUCI Elena Wonneberger ENDANG HERAWATI YULI Faizal Kasim Febiyanti Padja Femy M. Sahami Fikriyan Mahmud Frismarwati Wahyuni Lawadjo Fuquh Rahmat Shaleh Hasana, Nurul Husain, Febrianti A Ibrahim Miolo, Mikhael Ibrahim, Putri Sapira Indah Rianti Arbi Ivana Butolo Jihan Jihan Khairinissa Septiani Makmur La Nane Liputo, Resky Lukman Mile Maharani, Siti Adel Mahmud, Fikriyan Mahua, Musdalifah Majariana Krisanti Miftahul Khair Kadim Miranti Khairunisa Abudi Mokoagow, Ogin Sutanto Moo, Zulkifli Arsalam MUHAMAD ROEM Muhammad Adysubarkah Munirah Tuli Musdalifah H. Mahua Niken TM Pratiwi Niken TM Pratiwi Norma Aprilia Fanni Nur Fadhilah Ahmad Nurfadila Matta Nusi, Ibrahim A. Ogyn Sutanto Mokoagow Paramita Mursalim Polamolo, Ade Irma Putri Sapira Ibrahim Rahim, Ditya Nanda Rahim, Fadhilah Apriliyani Rieny Sulistijowati Rita Marsuci Harmain Safitri Rizky Amelia Purwindani Saleh, Yuliana Yunus Sandrianto Djunaidi Sandrianto Djunaidi sandriyanto djunaidi Segita Kono Shindy Hamidah Manteu Sitty Ainsyah Habibie Sri Fitriani Monoarfa Sri Nuryatin Hamzah SUCIYONO SUCIYONO Sugeng Santoso Sumitro U Thalib Suprapty Abdullah Syamsuddin Syamsuddin Tiara Septiani Lawadjo Tri Apriadi Wahyu Muzammil Wila Rumina Nento Winny Retna Melani Wonopati, Cindy Trisnawaty YENNY RISJANI Yuniarti Koniyo Yusuf, Mohamad Iqbal Zhulmaydin Chairil Fachrussyah Zulfikar, Andi Zulkifli Arsalam MoO