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Identifikasi Variabilitas Suhu Permukaan Laut dan Klorofil-a Lombok Strait pada Triple-Dip La Niña 2020-2022 : Identification of Sea Surface Temperature and Chlorophyll-a Variability in the Lombok Strait During the Triple-Dip La Niña Event (2020–2022) Arzhida, Bima; Novitarini, Putu Widya; Nugraheni, Imma Redha; Carundyatama, Daniar Ihza
Jurnal Ilmu dan Teknologi Kelautan Tropis Vol. 16 No. 3 (2024): Jurnal Ilmu dan Teknologi Kelautan Tropis
Publisher : Department of Marine Science and Technology, Faculty of Fisheries and Marine Science, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jitkt.v16i3.57981

Abstract

Fenomena La Niña sering menimbulkan perubahan signifikan pada suhu permukaan laut dan dinamika ekosistem laut dalam konteks perubahan iklim global. Studi ini fokus pada pengaruh Triple-Dip La Niña 2020-2022 di Selat Lombok yang berpotensi mempengaruhi keseimbangan biologis maritim. Penelitian ini bertujuan untuk mengidentifikasi dan memahami variabilitas suhu permukaan laut dan konsentrasi klorofil-a selama periode Triple-Dip La Niña. Penelitian menggunakan data Sea Surface Temperature (SST) dan chlorophyll (chlor_a) dari satelit Aqua-MODIS dan juga data arah dan kecepatan angin dalam bentuk Windrose di Mataram, Nusa Tenggara Barat selama periode 2020 hingga 2022 dengan periode 3 bulanan untuk meninjau variabilitas suhu permukaan laut dan klorofil-a yang terjadi. Pendekatan statistik, termasuk kalkulasi koefisien korelasi, diaplikasikan untuk menentukan hubungan antarvariabel. Ditemukan bahwa suhu tertinggi terjadi pada tahun 2020, sementara konsentrasi klorofil-a tertinggi tercatat pada tahun yang sama, khususnya di wilayah pesisir dengan suhu permukaan laut yang relatif lebih rendah dari sekitarnya. Hasil penelitian menunjukkan adanya pengaruh lemah antara klorofil-a dan SST pada wilayah Selat Lombok.
EVALUATING SURFACE TEMPERATURE VARIABILITIES AND CLIMATE EXTREMES IN THE DIENG PLATEAU OVER THREE DECADES Nugraheni, Imma Redha; Virgianto, Rista Hernandi; Kristianto, Aries; Septiadi, Deni; Nugroho, Hapsoro Agung; Soegiarto, Ita; Radjab, Fachri
Indonesian Physical Review Vol. 8 No. 2 (2025)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v8i2.493

Abstract

This study examines long-term surface temperature variability and climate extremes in the Dieng Plateau, Central Java, from 1991 to 2022. Despite its tropical location, the region’s unique high-altitude microclimate, with frequent frost events, has raised concerns for local agriculture, particularly potato farming. However, limited observational data has constrained in-depth assessments. To address this, we used bias-corrected ERA5 reanalysis data, calibrated using hourly observations from an Automatic Weather Station (AWS) installed in 2021. The analysis focused on climatological trends and temperature-related extreme indices following the Expert Team on Climate Change Detection and Indices (ETCCDI) framework. Our findings indicate seasonal patterns in diurnal temperatures, with JJA (June–August) exhibiting the greatest variability and the lowest night time temperatures, conditions favorable to frost formation. Among the extreme indices, warmest night temperatures (TNx) increased significantly at a rate of 0.017°C/year (p < 0.01), while coldest night temperatures (TNn) showed a slight but significant decline. The frequency of warm nights (TN90p) rose by 0.242 days/month, while cold nights (TN10p) decreased by 0.161 days/month. Meanwhile, trends for warm days (TX90p), cold days (TX10p), and cold spell duration (CSDI) were statistically insignificant. These results highlight the plateau’s sensitivity to night time warming and the potential risk of climate-driven shifts in frost occurrence. The combination of high-resolution reanalysis data and extreme indices offers valuable insight into microclimate behavior in tropical highlands, with direct implications for frost risk management and climate adaptation strategies in vulnerable agricultural zones.
SEA-LEVEL VARIABILITY IN THE JAVA SEA LINKED TO MONSOON FORCING AND CLIMATE TELECONNECTIONS (2009–2024) Nugraheni, Imma Redha; Lestari, Tri Anggun; Kristianto, Aries; Avrionesti, Avrionesti; Rejeki, Hasti Amrih; Wijaya, Yusuf Jati
Indonesian Physical Review Vol. 8 No. 3 (2025)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v8i3.571

Abstract

The Java Sea is a shallow, strait-connected shelf where seasonal monsoon forcing and climate modes can strongly modulate sea level, yet their sectoral expressions remain under-resolved. Altimetric observations from 2009–2024 (DUACS) are analyzed and validated against a network of Indonesian tide gauges and partition the basin into western (W-JS), central (C-JS), and eastern (E-JS) sectors. After detrending, the seasonal cycle is diagnosed via amplitude and phase metrics and quantifies interannual teleconnections using lead–lag cross-correlations (−12 to +12 months) between sea-level anomaly (SLA) and the Dipole Mode Index (DMI) and Southern Oscillation Index (SOI), with confidence intervals. DUACS reproduces tide-gauge variability with high skill (median correlation ≈ 0.82; RMSE 5–11 cm; small negative biases), supporting its use as a basin proxy. Seasonally, SLA peaks in DJF, weakens in MAM, reaches a pronounced minimum in JJA, and recovers in SON, with marked zonal heterogeneity: E-JS exhibits the strongest annual range (~18 cm) versus W-/C-JS (~12–13 cm). The seasonal phase is non-synchronous (W-JS maxima in May–June; E-JS in December–January), while C-JS behaves as a transition zone. Interannually, IOD impacts are near-synchronous and negative (lag-0, r ~ −0.41 to −0.47 across sectors), whereas ENSO peaks at short positive lags (SOI leads by ~1 month; r ~ 0.45–0.53), implying higher sea level during La Niña and lower during El Niño. These sign-and-lag relationships, combined with tide and surge information, have the potential to inform seasonal outlooks for ports and low-lying coastal areas of Java.
Analisis Spasial dan Temporal Pengaruh Faktor Oseanografi terhadap Sebaran Klorofil-a di Perairan Manado Periode 2017–2019 An-Nizami, Muhammad Subhan; Reksadiwirya, Putu; Pangalo, Gracia Nadya Angelina; Nugraheni, Imma Redha
Jurnal Laut Pulau: Hasil Penelitian Kelautan Vol 4 No 2 (2025): Jurnal Laut Pulau
Publisher : Prodi Ilmu Kelautan Fakultas Perikanan dan Ilmu Kelautan Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/jlpvol4iss2pp61-69

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh faktor oseanografi terhadap sebaran klorofil-a di Perairan Manado selama periode 2017–2019. Data yang digunakan meliputi klorofil-a, suhu permukaan laut (SPL), salinitas, dan arus laut yang diolah secara spasial dan temporal dengan pembagian empat musim klimatologis (DJF, MAM, JJA, SON). Analisis hubungan antarparameter dilakukan menggunakan regresi linear berganda. Hasil penelitian menunjukkan bahwa konsentrasi klorofil-a tertinggi terjadi pada musim DJF dengan nilai mencapai 0,5–0,6 mg/m³ di wilayah pesisir, sedangkan nilai terendah terjadi pada musim JJA. Nilai koefisien determinasi tertinggi (R² adj. = 0,59) diperoleh pada musim DJF dengan faktor dominan suhu permukaan laut, diikuti oleh arus laut pada MAM dan salinitas pada JJA. Pada musim SON, nilai R² adj. hanya sebesar 0,17%, menunjukkan pengaruh oseanografi yang lemah terhadap variasi klorofil-a. Secara keseluruhan, suhu permukaan laut merupakan faktor paling berpengaruh terhadap produktivitas primer perairan. Hasil ini dapat menjadi dasar ilmiah dalam pemantauan ekosistem laut dan pengelolaan sumber daya pesisir secara berkelanjutan.
Evaluasi Keakuratan Produk Satelit (CHRIPS, GPM-IMERG, PERSIANN-CCS, dan GSMaP) Dalam Mengidentifikasi Curah Hujan di Sumatera Barat ZIKRI, MUHAMMAD AULIA; DISERA, TIARA EMANUELLA; SARAGIH, RIO HANSYEN; NUGRAHENI, IMMA REDHA
Faktor Exacta Vol 18, No 4 (2025)
Publisher : LPPM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/faktorexacta.v18i4.27697

Abstract

This study evaluates the accuracy of satellite rainfall products against observational data from three stations in West Sumatra, averaged to represent the region's general conditions. The analysis uses eyeball and statistical methods on daily, ten-day, monthly, and seasonal scales. The satellite products assessed include GPM-IMERG, CHIRPS, GSMaP, and PERSIANN-CCS. On the daily scale, CHIRPS shows the best accuracy with a correlation coefficient of 0.17, RMSE of 27.97 mm, NRMSE of 0.097, and MAE of 14.19 mm. On the ten-day, monthly, and seasonal scales, GPM-IMERG outperforms the other products, achieving the highest correlation coefficient of 0.84. Additional analysis using contingency table metrics (POD, FAR, CSI, FOH, HSS) confirms GPM-IMERG as the most accurate product. These findings indicate that GPM-IMERG is the most reliable satellite product for rainfall estimation in West Sumatra, especially for longer temporal analyses.
Identifikasi Sebaran Asap Kebakaran Hutan di Wilayah Jambi dengan Menggunakan Radar C-BAND Ekky Amiral Faqi; Kholis Nur Cahyo; Imma Redha Nugraheni
Jurnal Teori dan Aplikasi Fisika Vol. 11 No. 2 (2023): Jurnal Teori dan Aplikasi Fisika
Publisher : Department of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtaf.v11i2.317

Abstract

Forest and land fires along with the distribution of smoke are one of the disasters threats in the Jambi region which has tropical forests. By knowing the lowest level of visibility from observations, this study was conducted on September 23, 2015. Weather and satellite radar have ability to detect particles and the distribution of smoke from forest and land fires with great spatial and temporal resolution, supported by HIMAWARI-8 satellite data as comparison. C-Band Doppler radar and default strategy scanning are used to identify smoke in Jambi. Wind layer analysis uses CAPPI V products to display smoke distribution and CMAX dBZ with palette changes to identify smoke particles, which then will be carried out vertical cross section to see smoke reflectivity values, identify smoke vertical profiles, and patterns of smoke distribution of forest and land fires. The smoke reflectivity index value can be seen from the dBZ value. The results of the identification show that the smoke material reaches a maximum reflectivity value of 30 dBZ at the centre of the fire point and the minimum value of very fine smoke particles reaches -24.4 dBZ which scattered with the dominant velocity distribution direction to the northwest.
Analisis Perubahan Garis Pantai Pesisir Domas, Serang, Banten dari Tahun 1988 hingga 2023 Berdasarkan Data Citra Satelit Landsat Rendy Syahril Amanu; Muhammad Jouhar Syah; Krisna Dwi Oktabrian; Imma Redha Nugraheni
Journal of Marine Research Vol 14, No 1 (2025): Journal of Marine Research
Publisher : Departemen Ilmu Kelautan, Fakultas PerikanJurusan Ilmu Kelautan, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jmr.v14i1.42723

Abstract

: Perubahan garis pantai merupakan salah satu  fenomena yang terjadi di daerah pesisir. Di Indonesia perubahan garis pantai dapat disebabkan oleh berbagai faktor, baik alami maupun antropogenik. Penelitian ini berfokus pada analisis perubahan garis pantai di sekitar Pesisir Domas, Serang, Banten dari tahun 1988 hingga 2023 menggunakan data citra satelit Landsat. Tujuan utama dari penelitian ini adalah untuk memetakan dan mengukur perubahan garis pantai yang terjadi dari tahun 1988 hingga 2023. Metode yang digunakan dalam penelitian ini adalah  Normalized Difference Water Index (NDWI) untuk interpretasi garis pantai serta analisis perubahan luasan garis pantai. Selain itu digunakan Digital Shoreline Analysis System (DSAS) untuk analisis jarak perubahan garis pantai serta identifikasi perubahan garis pantai. Hasil penelitian menunjukkan perubahan garis pantai yang terjadi selama periode penelitian cukup signifikan dengan total luasan daerah berkurang 388 hektar atau rata-rata berkurang 11,08 hektar per tahun. Analisis DSAS berdasarkan nilai Net Shoreline Movement (NSM) menunjukkan bahwa perubahan jarak garis pantai rata-rata adalah -368,76 meter, dengan perubahan terbesar adalah 1.032,6 meter. Nilai End Point Rate (EPR) menunjukkan laju rata-rata perubahan per tahun sebesar -10,69 meter, dengan nilai EPR terbesar adalah -29,5 meter. Penelitian ini menunjukkan bahwa terjadi kemunduran garis pantai yang disebabkan abrasi.
Co-Authors Adzan, Muhizzadin Abdul Agung Hari Saputra Agustina Dwi Putri Ariyanto Al Farrosi, Ahmad Ijmal Ambinari Rachmi Putri An-Nizami, Muhammad Subhan Andreas Kurniawan Silitonga Anggi M. Hanif Aofany, Diar Aprizal Verdyansyah Arfianti, Dinda R Aries Kristianto Arif Setiawan Arifah Dwi Yuliani Arzhida, Bima Avrionesti, Avrionesti Azka, Mukhamad Adib Azka, Mukhamad Adib Carundyatama, Daniar Ihza Deni Septiadi Deranadyan, Gumilang DISERA, TIARA EMANUELLA Disera, Tiara Emanuella Ekky Amiral Faqi Ekky Amiral Faqi Eko Wardoyo Faza, Muhammad Zakky Gumilang Deranadyan Hanif Kurniadi Hapsoro Agung Nugroho Hidayat, Anistia M Hilmi Hasani Samsuri Islamiardi, Rossian Nursiddiq Ismah Atikah Khairunnisa Kholis Nur Cahyo Krisna Dwi Oktabrian Lestari, Tri Anggun Lilik Ardiyanto Lu&#039;lu Nuthmainati Fu&#039;adah Maulana, Rezky Fajar Maulidyah, Meldisa Putri Merdeka, Juang Muhammad Alfaridzi Muhammad Jouhar Syah Muhammad Zakky Faza Mukhamad Adib Azka Nayla Alvina Rahma Nesty Youwe, Angelina Serena Gracella Novitarini, Putu Widya Pangalo, Gracia Nadya Angelina Prabu Aditya Sugianto QULUB, ALFI RIFQI Raden Mohamad Herdian Bhakti Radjab, Fachri Rahma, Nayla Alvina Rahmadani, Nur Fitri Rejeki, Hasti Amrih Reksadiwirya, Putu Rendy Syahril Amanu Rista Hernandi Virgianto Rizka Erwin Lestari SARAGIH, RIO HANSYEN Sari, Nining Baidila Setyowati, Pertiwi Risky Silitonga, Andreas Kurniawan Silitonga, Andreas Kurniawan Soegiarto, Ita Sony Ariwibowo Sugianto, Prabu Aditya Sugianto, Prabu Aditya Syadza Siskayani Putri Syahrin, Khairummin Alfi Tamba, Kristian Adi Putra TUNA, MIRANDA SAHFIRA Verdyansyah, Aprizal Wardoyo, Eko Yosik Norman Yusuf Jati Wijaya Zikri, Muhammad Aulia