Optimasi Penempatan Kapasitor pada Sistem Tegangan Menengah Regional Jawa Barat

When the inductive reactive load is higher, it will cause a voltage drop, increase the power losses in the system, decrease the power factor and decrease the capacity of the electrical power distribution. To reduce the load of inductive reactive power, a capacitive reactive power source is needed by installing the capacitor with the optimal size and at the right location. The method used to determine the optimal size and location of fuzzy logic-genetic algorithm. The parameters used in this simulation are minimal channel power losses while still meeting the specified voltage limit, Vmin = 0.95 PU and Vmax = 1.05 PU. The test results show that the location of the optimal capacitor placement with fuzzy logic-genetic algorithm is on bus 11 and bus 12. The test result from the study of newton raphson power flow, determining the location capacitor with fuzzy logic and determining the optimal capacitor size with genetic algorithm takes about 4 minutes.Ketika beban reaktif induktif semakin tinggi maka akan menyebabkan menurunnya tegangan, memperbesar rugi-rugi daya pada sistem, menurunnya faktor daya serta menurunnya kapasitas penyaluran daya listrik. Untuk mengurangi beban daya reaktif induktif diperlukan sumber daya reaktif kapasitif yaitu dengan memasang kapasitor dengan ukuran yang optimal dan pada lokasi yang tepat. Metode yang digunakan untuk menentukan ukuran dan lokasi optimal yaitu fuzzy logic-agoritma genetika. Parameter yang digunakan pada simulasi ini yaitu rugi-rugi daya saluran minimal dengan tetap memenuhi batas tegangan yang ditentuka yaitu voltage limit, Vmin= 0.95 PU dan PU and Vmax = 1.05 PU. Hasil pengujian menunjukan bahwa letak penempatan kapasitor yang optimal dengan fuzzy logic-algoritma genetika pada bus 11 dan bus 12. Hasil pengujian dari studi aliran daya dengan Newton-Raphson, penentuan letak kapasitor dengan logika fuzzy, dan optimasi ukuran kapasitor dengan algoritma genetika membutuhkan waktu sekitar 4 menit

ANALISIS PEMBERIAN PAKAN Tubifex sp. HASIL KULTUR MASSAL MENGGUNAKAN FERMENTASI KOTORAN AYAM, ROTI AFKIR DAN AMPAS TAHU TERHADAP PERFORMA PERTUMBUHAN DAN KELULUSHIDUPAN LARVA LELE (C. gariepenus)

Tubifex sp. selama ini diperoleh dari hasil tangkapan alam sehingga kultur massal Tubifex sp. perlu dilakukan untuk memenuhi kebutuhan pakan alami lele stadia larva. Tujuan dari penelitian adalah menganalisis pertumbuhan dan kelulushidupan larva lele dengan pemberian pakan Tubifex sp. yang dikultur massal menggunakan fermentasi kotoran ayam, roti afkir dan ampas tahu. Hewan uji yang digunakan adalah larva ikan lele (C. gariepenus) dengan berat ±0,06 g/ind. Penelitian dilakukan dengan metode eksperimental menggunakan rancangan acak lengkap (RAL) dengan 4 perlakuan yaitu perlakuan A (100g/L roti afkir; 50 g/L ampas tahu); B (75 g/L kotoran ayam; 100g/L roti afkir; 50 g/L ampas tahu); C (50 g/L kotoran ayam; 100g/L roti afkir; 50 g/L ampas tahu) dan D (25 g/L kotoran ayam; 100g/L roti afkir; 50 g/L ampas tahu) dan 3 ulangan. Pemberian Tubifex sp. sebagai pakan alami sebanyak 5 kali sehari secara ad libitum. Hasil penelitian menunjukkan bahwa pemberian pakan Tubifex sp. hasil kultur massal menggunakan fermentasi kotoran ayam, roti afkir dan ampas tahu berpengaruh nyata (P0,01) pada kelulushidupan larva lele (C. gariepenus). Panjang larva lele (C. gariepenus) memiliki kisaran 1.78 -3.74 cm dan biomass 31.98 g – 40.95 g, serta tingkat kelulushidupan berkisar antara 92% - 98%. Berdasarkan pada hasil penelitian, maka perlakuan pemberian pakan larva lele dengan Tubifex sp. hasil kultur massal pada perlakuan 75 g/L kotoran ayam; 100g/L roti afkir; 50 g/L ampas tahu terbaik dengan panjang 3.74 cm, berat biomass 40.95 g dan SR 98%

Particle Swarm Optimization for Interference Mitigation of Wireless Body Area Network: A Systematic Review

Wireless body area networks (WBAN) has now become an important technology in supporting services in the health sector and several other fields. Various surveys and research have been carried out massively on the use of swarm intelligent (SI) algorithms in various fields in the last ten years, but the use of SI in wireless body area networks (WBAN) in the last five years has not seen any significant progress. The aim of this research is to clarify and convince as well as to propose a answer to this problem, we have identified opportunities and topic trends using the particle swarm optimization (PSO) procedure as one of the swarm intelligence for optimizing wireless body area network interference mitigation performance. In this research, we analyzes primary studies collected using predefined exploration strings on online databases with the help of Publish or Perish and by the preferred reporting items for systematic reviews and meta-analysis (PRISMA) way. Articles were carefully selected for further analysis. It was found that very few researchers included optimization methods for swarm intelligence, especially PSO, in mitigating wireless body area network interference, whether for intra, inter, or cross-WBAN interference. This paper contributes to identifying the gap in using PSO for WBAN interference and also offers opportunities for using PSO both standalone and hybrid with other methods to further research on mitigating WBAN interference

Particle Swarm Optimization for Interference Mitigation of Wireless Body Area Network: A Systematic Review

Wireless body area networks (WBAN) has now become an important technology in supporting services in the health sector and several other fields. Various surveys and research have been carried out massively on the use of swarm intelligent (SI) algorithms in various fields in the last ten years, but the use of SI in wireless body area networks (WBAN) in the last five years has not seen any significant progress. The aim of this research is to clarify and convince as well as to propose a answer to this problem, we have identified opportunities and topic trends using the particle swarm optimization (PSO) procedure as one of the swarm intelligence for optimizing wireless body area network interference mitigation performance. In this research, we analyzes primary studies collected using predefined exploration strings on online databases with the help of Publish or Perish and by the preferred reporting items for systematic reviews and meta-analysis (PRISMA) way. Articles were carefully selected for further analysis. It was found that very few researchers included optimization methods for swarm intelligence, especially PSO, in mitigating wireless body area network interference, whether for intra, inter, or cross-WBAN interference. This paper contributes to identifying the gap in using PSO for WBAN interference and also offers opportunities for using PSO both standalone and hybrid with other methods to further research on mitigating WBAN interference

Maggot Meal (Hermetia illucens) Substitution on Fish Meal as Source of Animal Protein to Growth, Feed Utilization Efficiency, and Survival Rate of Milkfish (Chanos chanos)

High protein content in maggot is one of the advantages for increasing fish growth through artificial feed. This study aimed to find the best optimization and feed formulation for fish meal substitution with maggot meal on growth, feed utilization efficiency, and survival rate of milkfish (C. chanos). Milkfish (C. chanos) with an average weight of 0.62±0.01 gram/fish was used as test fish. Feeding is carried out at 07.00 a.m., 12.00 p.m., and 17:00 p.m. through fixed feeding rate method. The tested fish was kept for 42 days with a stocking density of 1 fish/l. The experimental design used was a completely randomized design with five treatments and three replications. The treatments which had been done were fish meal substitution with maggot meal as follows: A (0%), B (25%), C (50%), D (75%), and E (100%). The research parameters included total feed consumption (TFC), feed utilization efficiency (FUE), protein efficiency ratio (PER), relative growth rate (RGR), survival rate (SR), and water quality. The results showed that the fish meal substitution with maggot meal had a significant effect (p<0.05) on FUE, PER, RGR and had no significant effect (p>0.05) on TFC and SR. The best treatment of each treatment is in treatment C with a composition of 50% maggot meal substitution on fish meal which resulted in a TFC value of 40.17±4.58, FUE of 27.51±0.77, PER of 0.83±0.03%, and RGR of 2.34±0.10