Judul: Analisis Singular Value Decomposition of Couple Fields pada Data Titik Api dan Curah Hujan Wilayah Indonesia
Abstrak: Kebakaran hutan dan lahan (Karhutla) terjadi hampir setiap tahun di Indonesia. Analisis terhadap data yang berkaitan dengan Karhutla, dalam hal ini data satelit titik api atau fire points dan curah hujan TRMM 3B43 dapat dilakukan untuk membantu mengurangi Karhutla di Indonesia. Pereduksian data dilakukan menggunakan metode Singular Value Decomposition (SVD) of Couple Fields. Selanjutnya, hasil metode tersebut memperlihatkan daerah dominan penyebaran titik api dan curah hujan di Indonesia. Kemudian, dapat diamati pola spasial dan temporal pada data dengan perbedaan perlakuan yaitu data tanpa perlakuan, data dengan standarisasi detrend dan data dengan standarisasi zscore. Berdasarkan hasil analisis yang dilakukan, didapatkan bahwa menggunakan data tanpa perlakuan standarisasi merupakan pendekatan yang menghasilkan nilai Squared Covariance Fraction (SCF) terbesar. Selain itu, daerah dominan dari kejadian titik api yang berasosiasi dengan curah hujan rendah di Indonesia berada di daerah Riau, Sumatera Selatan, dan Kalimantan Tengah dengan waktu kemunculan titik api tersebut terjadi pada akhir tahun 2015.
Keyword: titik api, curah hujan TRMM 3B4, Singular Value Decomposition of Couple Fields, detrend, zscore

Judul: Analisis Dekomposisi Nilai Singular Pada Data Indikator Iklim dan Kebakaran Hutan di Indonesia
Abstrak: Kebakaran hutan dan lahan (karhutla) merupakan bencana yang terjadi di Indonesia. Salah satu indikator iklim lokal yang memengaruhinya adalah curah hujan. Indikator curah hujan akan diturunkan menjadi hari tanpa hujan dan anomali curah hujan. Ketiga indikator iklim ini akan dianalisis bersama luas area terbakar, emisi karbon, dan hotspot secara spasial dan temporal. Analisis spasial dilakukan dengan mereduksi dimensi waktu pada keenam indikator, sedangakan analisis temporal dilakukan dengan mereduksi dimensi lokasi pada keenam indikator. Proses pereduksian dimensi dilakukan dengan Dekomposisi Nilai Singular. Hasilnya, luas area terbakar merupakan indikator terbaik yang mampu menangkap karhutla di Indonesia tahun 1997-2020. Sementara itu, indikator emisi karbon merupakan yang paling baik dalam menangkap karhutla di Indonesia tahun 1999-2020. Indikator iklim terbaik dalam menjelaskan kasus karhutla adalah hari tanpa hujan karena memiliki nilai korelasi paling tinggi terhadap luas area terbakar, emisi karbon, dan hotspot., Forest and land fires are disasters that occur in Indonesia. One of the local climate influencing indicators forest and land fires is rainfall. Rainfall indicators will be simplified to dry spell and rainfall anomalies. These three climate indicators will be analysed along with the burned area, carbon emissions, and hotspots spatially and temporally. The spatial analysis is carried out by reducing the time dimension on the six indicators, while the temporal analysis is carried out by reducing the location dimension on the six indicators. The dimension reduction process is done by the Singular Value Decomposition. As a result, the burned area is the best indicator capable of capturing forest and land fires in Indonesia in 1997-2020. Meanwhile, carbon emission indicators are the best in capturing forest and land fires in Indonesia in 1999-2020. The best climate indicator in explaining the case of forest and land fires is a dry spell because it has the highest correlation value to the burned area, carbon emissions, and hotspots.
Keyword: indicator, rainfall, forest and land fires, singular value decomposition, correlation

Judul: Transplantasi sel testikular ikan gurame pada ikan nila
Abstrak: One of the constraints in the cultivation of giant gouramy is the lack of fry availability, necessitating the development of fry production engineering technology to address these issues. Engineering technology of fry production through the surrogate broodstock generated by testicular cells transplantation technique has been developed in salmonid. Testicular cells transplantation technology requires a suitable recipient that can accept and support the development of spermatogonia donor cell. This study examined the potential of Nile tilapia as a recipient for donor giant gouramy cells by observing its colonization in the gonads of Nile tilapia. Fish donor of 598,82 grams body weight with Gonado Somatic Index (GSI) of 0,013% and spermatogonial cells percentage of 28,22% was used. Testicular cells in amount of 20.000 cells/0,5 μl PBS were injected into peritoneal cavity of 4-day-old tilapia larvae. The success of transplantation and donor cell colonization were analyzed using PCR method with DNA template that have been extracted from tilapia larvae of 1 day post injection and the gonad of 2 months old fish. PCR was performed using a set of specific primer for the giant gouramy growth hormone gene and tilapia β-actin as an internal control of DNA loading. PCR results showed that the transplanted tilapia has a DNA band in the same size with giant gouramy, and not in untransplanted control. The success rate of transplantation in larvae was 100% (5/5) and the percentage of individual recipients containing donor cells in their gonad was 60% (3/5). This indicates that donor cells from giant gouramy was successfully injected and can be colonized in the gonads of Nile tilapia, so the Nile tilapia potentially be used as recipient for giant gouramy testicular cells transplantation. Further analysis needs to be conducted to observe the ability of spermatogonial cells develop into sperm and eggs in the gonad of tilapia recipient.
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