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All Journal ILMU KELAUTAN: Indonesian Journal of Marine Sciences Journal of Marine Research AGRIEKONOMIKA Jurnal Kelautan : Indonesian Journal of Marine Science and Technology AGRIKAN Jurnal Ilmiah Agribisnis dan Perikanan Jurnal Obsesi: Jurnal Pendidikan Anak Usia Dini BULLETIN OF THE MARINE GEOLOGY Aquasains : Jurnal Ilmu Perikanan dan Sumberdaya Perairan DoubleClick : Journal of Computer and Information Technology JURNAL PENGABDIAN KEPADA MASYARAKAT Jurnal Segara EKOLOGIA : Jurnal Ilmiah Ilmu Dasar dan Lingkungan Hidup Techno-Fish Societas Dei: Jurnal Agama dan Masyarakat Kontribusia : Research Dissemination for Community Development PENA AKUATIKA : JURNAL ILMIAH PERIKANAN DAN KELAUTAN Jurnal Ilmiah Abdi Mas TPB Unram Fisheries : Jurnal Perikanan dan Ilmu Kelautan International Journal of Engineering, Science and Information Technology DedikasiMU: Journal of Community Service Journal of Marine-Earth Science and Technology Jurnal Pengabdian Multidisiplin Pakem : Jurnal Pengabdian Kepada Masyarakat Wisanggeni : Jurnal Pengabdian Masyarakat Jurnal Miyang : Ronggolawe Fisheries and Marine Science Journal Agrikan: Jurnal Agribisnis Perikanan SENTRI: Jurnal Riset Ilmiah Curtina Jurnal Ruaya : Jurnal Penelitian dan Kajian Ilmu Perikanan dan Kelautan Manfish Journal Innovative: Journal Of Social Science Research Jurnal Pengabdian Masyarakat dan Riset Pendidikan Inovasi Sosial : Jurnal Pengabdian Kepada Masyarakat Jurnal Penelitian Pendidikan Indonesia (JPPI) Journal of Fisheries & Marine Journal of Educational Science and E-Learning Journal of Education and Pedagogy
Marita Ika Joesidawati
Universitas PGRI Ronggolawe
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THE DETERMINATION OF THE DEPTH OF TPI PALANG’S HARBOUR BASIN TUBAN THROUGH CALCULATION OF TIDE COMPONENT Joesidawati, Marita Ika
Jurnal Segara Vol 19, No 1 (2024): April
Publisher : Politeknik Kelautan dan Perikanan Dumai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15578/segara.v19i1.10396

Abstract

Determination of the datum chart using the tide component can be used to determine the depth of the harbour basin. TPI Palang's harbour basin is often used as a place for mooring fishing boats, but it often happens that the ships get stuck before entering the haarbour basin. The type of fishing ship at the TPI Palang harbour basin is a payang boat with a draft depth of 2 m. The depth of the harbour basin measurement results in July 2017 was 8 m, while based on the bathymetric map is 12 m. Palang waters, in Tuban Regency is located in the North Sea of East Java, which is open water type, therefore the determination of the depth of the harbour basin is based on the state of the water, is 1.2 x ship draft, which is 2.4 m. The least square and the admiralty method were used to compare the best method in calculating the tidal component. Researchers used tidal data for August 2016- July 2017 obtained from BIG. The tidal type of the Palang waters is diurnal, with an F value for admiralty treatment of 5,160 with least square processing of 5,167. The correlation coefficient of the tidal component with admiralty processing occurs in K1-MS4 of 0.792, while the least square occurs in K1-M4 of 1.6. The result of the calculation of the tidal component of the least square is used to determine the value of the datum chart. The IHO (International Hydrographic Organization) datum chart is used as a basic reference for calculating the depth of the TPI Palang harbour basin. The results show that the required depth of Palang waters in the existing condition (8 m) still requires dredging between 0.033 - 1.071 m. However, to meet the standard of the harbour basin, the required depth is 13,071 m (from LWS) to 13,557 m (from LLWS) which means that the dredging of the harbour basin is about ± 4 m.
Spatial-Temporal Drought Analysis in Jatirogo Subdistrict Using Normalized Difference Drought Index (2020-2025) Rochmah, Ainur; Arifia, Amaludin; Joesidawati, Marita Ika; Rahmawan, Fajar
SENTRI: Jurnal Riset Ilmiah Vol. 5 No. 1 (2026): SENTRI : Jurnal Riset Ilmiah, Januari 2026
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/sentri.v5i1.5516

Abstract

Drought is a recurring hydrometeorological hazard in Indonesia, particularly affecting regions with high rainfall variability and rainfed agriculture dependence. This study analyzes spatial-temporal drought patterns in Jatirogo Subdistrict, Tuban Regency, East Java (2020-2025) using the Normalized Difference Drought Index (NDDI) from Sentinel-2 imagery. The methodology involved image preprocessing, NDVI and NDWI calculation, NDDI derivation, and GIS-based drought classification. Results show strong seasonal patterns with peak severity during August-October, where moderate to severe drought dominated 65-80% of the area annually. The most severe conditions occurred in 2023-2024, with NDDI values exceeding 1.0. Villages including Kebonharjo, Sugihan, Demit, Bader, and Sekaran were identified as highly vulnerable. NDDI-based mapping revealed significant correlations with sectoral impacts: severe drought periods (NDDI > 0.8) corresponded with 40-60% crop yield reductions in rainfed paddies, increased irrigation demand, critical groundwater depletion, and elevated food security vulnerabilities among smallholder farmers. This study demonstrates that Sentinel-2 NDDI integration with GIS effectively supports village-level drought monitoring and provides essential spatial information for targeted mitigation strategies, including water resource management, adaptive agricultural planning, and early warning systems.
Spatiotemporal Analysis of Agricultural Drought in Tambakboyo District, Tuban Regency (2020–2025) Using the Normalized Difference Drought Index R.S, Widya Devi Febianti; Arifia, Amaludin; Joesidawati, Marita Ika; Rahmawan, Fajar
SENTRI: Jurnal Riset Ilmiah Vol. 5 No. 1 (2026): SENTRI : Jurnal Riset Ilmiah, Januari 2026
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/sentri.v5i1.5517

Abstract

Drought is a recurring hydrometeorological disaster that poses a serious threat to agricultural productivity and food security, particularly in rain-fed agricultural regions of Indonesia’s northern coastal areas. Tambakboyo District, Tuban Regency, is characterized by high dependence on seasonal rainfall, limited irrigation infrastructure, and fluctuating climatic conditions, making it highly vulnerable to agricultural drought. This study aims to analyze the spatiotemporal patterns of agricultural drought in Tambakboyo District during the period 2020–2025 using the Normalized Difference Drought Index (NDDI) derived from Sentinel-2 satellite imagery. Sentinel-2 Level-2A surface reflectance data from September to December for each study year were processed to calculate the Normalized Difference Vegetation Index (NDVI) and Normalized Difference Water Index (NDWI), which were subsequently combined to generate NDDI values. Drought severity was classified into five categories ranging from normal to very severe drought. The results indicate a consistent seasonal drought pattern, with drought intensity beginning to increase in September, peaking in October–November, and declining in December with the onset of the rainy season. The most severe drought conditions occurred in 2022, when 68.5% of the district area experienced severe to very severe drought. Spatial analysis revealed that Kenanti, Gadon, and Plajan villages were persistently identified as drought-prone areas throughout the study period. These findings demonstrate the effectiveness of NDDI for monitoring agricultural drought in rain-fed farming systems and highlight its potential application for drought mitigation planning, early warning systems, and sustainable water resource management at the local scale.
Co-Authors A, Aunurohim Aat Ruchiat Nugraha Abdul Wahid Abdul Wahid Nuruddin Abdullah, Amiruddin Agung Adi Prasetia Agung Adi Prasetia Ahmad Zain Sarnoto Ambariyanto , Amir Yarkhasy Yuliardi Anci, Anci Andik Adi Suryanto Anggraini, Susanti Dhini Anisah , Afro’ Ardelia Humaimah Denatri Ardiansyah, Wisnu Ardiyanto Maksimilianus Gai Ari Wijayanti Arif Tribina Arifia, Amaludin Arifin, Ahmad Zaenal Bimo Aji Widyantoro Dewi Fortuna Nurama Dewi Hidayati Djunarlin Tojang Dwijayani, Henny Edwin Setiawan Eka Maya Kurniasih, Eka Maya Erna Wulandari F, Fauziah Fadiana, Mu’jizatin Fatchiatuzahro Firdaus, Muhammad Andi Fitrah Adelina Gentio Harsono Handayani, Fitrianti Hiola, Siti Fatimah Ilham Antariksa Tasabaramo Kholilah, Nenik Kurniawati Kurniawati La Mpia Luhur Moekti Prayogo Mahardika, Agus Maisaroh, Dian Sari Marandi Eko Wibowo Maretik, Maretik Mega Nurhana Muhammad Hanif Mulyadi, Yeyes Murdiniyati, Any Dian Ni Kadek Dita Cahyani, Ni Kadek Dita Nova Maulidina Ashuri Nursalim, Nining Nuruddin, Abdul Wahid Nurul Islamiyah P., Lutfi Anjar Yogi P. Pattiruhu, Fransisca Jallie Puji Sri Handayani R.S, Widya Devi Febianti Rahmawan, Fajar Raka Nur Sukma Rian Aldi Riska Andriani Risti Kamila Wening Estu ROCHMAH, AINUR Ruswanto S, Suwarsih Safari, Apay Saiful Bahri Saleh, Ramlah Santosa, Tomi Apra Saparuddin Saparuddin Sari, Windy Dian Septy Heltria Spanton, Perdana Ixbal Sriwulan, Sriwulan Sukini, Sukini Suryono, Wiwid Susanti Dhini Anggraini Suwarsih Suwarsih Suwarsih Suwarsih Suwarsih Suwarsih Suwarsih Suwarsih Suwarsih Suwartiningsih Syahroni, Nur Syehrina Aldiana Wahyudi, Muhammad Henry Wibowo, Marandi Eko Yahya Abdillah Al Hanif Zaimah, Nely Rahmawati Zaimah, Nely Rahmawati Zaimah