Judul: Model Pendugaan Produksi Benih Indigofera zollingeriana Miq.
Abstrak: Model pendugaan produksi benih sangat penting dalam membantu proses perencanaan produksi lebih akurat. Penelitian ini bertujuan membangun model penduga produksi benih Indigofera di UP3J-IPB, Bogor, Jawa Barat. Metode yang digunakan yaitu purposive sampling pada 9 pohon. Variabel yang digunakan yaitu jumlah cabang, ranting, tandan, polong, biji, dan bobot 1000 biji. Pembangunan model pendugaan menggunakan analisis deskriptif, analisis korelasi, dan analisis regresi linier berganda. Pengategorian produksi benih menggunakan uji lanjut Tukey. Uji daya kecambah benih menggunakan ANOVA dan uji lanjut LSD. Hasil penelitian diperoleh tiga model penduga produksi benih Indigofera yaitu Yb1 (g) = 101,290 + 11,817X1 (jumlah cabang) + 0,088X4 (jumlah polong)  0,004X5 (jumlah biji) (r=97,1%), Yb2 (g) = 97,609 + 0,050X4 (jumlah polong) (r=97,3%), dan Yb3 (g) = 122,460 + 483,266X1 (jumlah cabang) (r=38,9%). Kategori produksi benih terdiri dari, produksi rendah (<6000 polong), produksi sedang (600015000 polong), produksi tinggi (>15000 polong). Kategori produksi rendah dan produksi tinggi memiliki daya kecambah lebih tinggi (95%) daripada produksi sedang (81%)., The seed production estimation model is important to support the planning of production process accurately. This research aims was to develop a model of Indigofera seed production at UP3J-IPB, Bogor, West Java. The method was purposive sampling on 9 trees. The variables used are the number of branches, twigs, bunches, pods, seeds, and the weight of 1000 seeds. The development of the estimation model useds descriptive analysis, correlation analysis, and multiple linier regression analysis. The seed production categories was determine by Tukey’s advanced test. The seed sprout power test uses ANOVA and continues LSD testing. The results of the study obtained three estimating models of Indigofera seed production, namely Yb1 (g) = 101,290 + 11,817X1 (number of branches) + 0,088X4 (number of pods)  0,004X5 (number of seeds) (r=97,1%), Yb2 (g) = 97,609 + 0,050X4 (number of pods) (r=97,3%), dan Yb3 (g) = 122,460 + 483,266X1 (number of branches) (r=38,9%). The seed production category, namely low production (<6000 pods), medium production (600015000 pods), high production (>15000 pods). The low production and high production categories have higher sprout power (95%) than medium production (81%).
Keyword: Indigofera, model, regression, seed

Judul: Potensi Hijauan Pakan di Bawah Naungan Indigofera zollingeriana Miq. dengan Status Umur Tanaman Berbeda
Abstrak: Penelitian ini bertujuan mengukur potensi hijauan pakan di bawah naungan tanaman Indigofera zollingeriana dengan status umur berbeda di Unit Pendidikan Penelitian Peternakan Jonggol. Metode yang digunakan adalah observasi langsung di lapang Data dianalisis menggunakan analisis deskriptif. Parameter yang diukur adalah karakteristik tanah, kelembaban, suhu, intensitas cahaya, tingkat naungan, komposisi botani, kapasitas tampung, analisis vegetasi, identifikasi hijauan, produksi biomassa, kualitas fisik silase, serta palatabilitas silase. Hasil penelitian menunjukkan terdapat 16 spesies dari 3 lahan indigofera yang berbeda umur dan berpotensi menjadi hijauan pakan. Simpulan dari penelitian adalah perbedaan umur vegetasi sangat mempengaruhi jenis tumbuhan dan spesies yang tumbuh dibawah naungan dan intensitas cahaya pada lahan tersebut. Tanaman yang berpotensi menjadi pakan ialah Sphagneticola trilobata (L.) Pruski. yang mendominasi lahan Indigofera 7 tahun karena sifat tanaman yang membutuhkan cahaya dan kandungan nitrogen yang tinggi., This study evaluated the potential for forage production under Indigofera zollingeriana plants of varying ages at the Unit Pendidikan Penelitian Peternakan Jonggol (UP3J). The method employed involved directly observing the forage growth under the Indigofera gardens. The data collected were analyzed using descriptive analysis, with parameters such as soil characteristics, humidity, temperature, light intensity, shade level, botanical composition, storage capacity, vegetation analysis, forage identification, biomass production, silage physical quality, and silage palatability taken into consideration. The study revealed that 16 species of plants across three Indigofera fields of different ages had potential for forage production. The research concluded that the age of vegetation significantly affects the types of plants and species that grow under shade and the light intensity on the land. Sphagneticola trilobata (L.) Pruski was identified as one of the plants with the potential to become a food source, and it dominates the year 7 Indigofera land due to its need for light and high nitrogen content.
Keyword: analisis vegetasi, Indigofera zollingeriana, rumbah, umur vegetasi

Judul: Analysis of NaTFSA Electrolytes on Sodium Ion  Batteries Using the DC-DFTB-MD Method
Abstrak: Pelarut air digunakan dalam sistem elektrolit NaTFSA pada baterai ion natrium karena sifatnya yang relatif aman. Namun, menghasilkan tegangan yang cukup rendah sehingga memiliki keterbatasan dalam pengaplikasiannya. Untuk mengatasi hal tersebut dikembangkan elektrolit berkonsentrasi tinggi. Pada penelitian ini, pengaruh konsentrasi elektrolit NaTFSA terhadap sifat struktur, dinamika, dan elektronik dianalisis menggunakan metode dinamika molekul pada level mekanika kuantum. Analisis mikroskopik struktur dan dinamika elektrolit NaTFSA menunjukkan bahwa seiring kenaikan konsentrasi, koefisien difusi air menurun sedangkan konduktivitas elektrolit cenderung meningkat sebanding dengan mobilitas ion-ion., The aqueous solvent is used in the NaTFSA electrolyte system in sodium ion batteries because it is relatively safer. However, the voltage window of the sodium ion battery is narrower than that of the lithium ion battery, thus it still limits its practical implementation. To overcome this problem, a high concentration of electrolyte was developed. In this present work, the salt concentration effect on structural, dynamic and electronic properties were analyzed using molecular dynamics methods at the quantum mechanical level. Microscopic analysis of the structural and dynamical properties of the NaTFSA electrolyte showed that as the concentration increased, the water diffusion coefficient decreased while the electrolyte conductivity tended to increase.
Keyword: Conductivity, DC-DFTB, Diffusion constants, NaTFSA electrolytes, Sodium ion batteries