[
ABSTRAKSaat ini operator telekomunikasi menghadapi berbagai tantangan yang
mempengaruhi profit. Untuk menghadapi tantangan ? tantangan tersebut
operator memerlukan strategi yang tepat. Strategi kepeminpinan biaya dapat
direalisasikan dalam efisiensi capex dan opex. Penelitian ini bertujuan untuk
melakukan efisiensi penggunaan biaya investasi BTS tanpa mengesampingkan
kualitas layanan. Untuk tercapainya laba bersih yang diharapkan, dibutuhkan
perancangan ambang batas kapasitas sebagai pedoman ekspansi BTS. Investasi
yang berlebihan dapat menyebabkan penurunan laba bersih. Sebaliknya
investasi yang terlambat dapat menyebabkan rendahnya Quality of Experience
(QoE). Perhitungan ambang batas menggunakan teori Probabilistic Risk
Analysis Discrete Random Variables, dengan membandingkan probabilitas
tingkat pengembalian investasi dan risiko antar alternatif agregasi utilisasi
menggunakan mean 80%, mean 90%, peak 80%, dan peak 90%. Hasil analisis
menunjukkan berdasarkan analisis probabilitas tingkat pengembalian investasi
dan tingkat risiko, maka agregasi mean dengan threshold 90% lebih baik.
ABSTRACTNowadays, the operators have faced some challenges which impact to net
profit. To overcome the challenges, operators need proper strategy. Cost
leadership strategy can be realized in efficient capex and opex. This research is
purposed to make BTS investment cost efficient without set the quality of
service aside. To get the expected profit, operators need to design the capacity
threshold as BTS expansion guidance. Over investment can cause net profit
decrement. Otherwise, late investment can cause low Quality of Experience
(QoE). Threshold design uses Probabilistic Risk Analysis Discrete Random
Variables theory, with comparing return of investment probability and risk
between alternatives using mean 80%, mean 90%, peak 80%, dan peak 90%.
The result shows that base on return of investment probability and risk, mean
aggregate with threshold 90% is better than others;Nowadays, the operators have faced some challenges which impact to net
profit. To overcome the challenges, operators need proper strategy. Cost
leadership strategy can be realized in efficient capex and opex. This research is
purposed to make BTS investment cost efficient without set the quality of
service aside. To get the expected profit, operators need to design the capacity
threshold as BTS expansion guidance. Over investment can cause net profit
decrement. Otherwise, late investment can cause low Quality of Experience
(QoE). Threshold design uses Probabilistic Risk Analysis Discrete Random
Variables theory, with comparing return of investment probability and risk
between alternatives using mean 80%, mean 90%, peak 80%, dan peak 90%.
The result shows that base on return of investment probability and risk, mean
aggregate with threshold 90% is better than others, Nowadays, the operators have faced some challenges which impact to net
profit. To overcome the challenges, operators need proper strategy. Cost
leadership strategy can be realized in efficient capex and opex. This research is
purposed to make BTS investment cost efficient without set the quality of
service aside. To get the expected profit, operators need to design the capacity
threshold as BTS expansion guidance. Over investment can cause net profit
decrement. Otherwise, late investment can cause low Quality of Experience
(QoE). Threshold design uses Probabilistic Risk Analysis Discrete Random
Variables theory, with comparing return of investment probability and risk
between alternatives using mean 80%, mean 90%, peak 80%, dan peak 90%.
The result shows that base on return of investment probability and risk, mean
aggregate with threshold 90% is better than others]
T42516-Lia Astari.pdf :: Unduh