SEJARAH DAN KEUNIKAN NILAI BUDAYA MASJID CHENG HO DI PALEMBANG

Abstrak: Penelitian bertujuan untuk mengetahui sejarah dan keunikan nilai budaya Masjid Cheng Ho di Palembang. Metode yang digunakan dalam penelitian ini adalah metode kualitatif melalui observasi langsung dan mengkaji dengan melakukan studi kepustakaan (library research) untuk memperoleh data penelitian. Hasil penelitian menunjukkan bahwa Masjid Al-Islam Muhammad Cheng Ho Sriwijaya Palembang atau sering dikenal dengan masjid Cheng Ho yang merupakan salah satu masjid bernuansa Islam Tionghoa yang diresmikan pada tahun 2008. Masjid Al-Islam Muhammad Cheng Ho didirikan oleh keluarga PITI Sumsel di atas tanah hibah dari PT. Amen Mulia kepada Organisasi PITI melalui perantara H. Syahrial Oesman atas berkah jasa kyai Palembang KH.Mudarrin. SM dan Kgs KH. M. Zen Syukri bin Kgs K. H Hasan Syukri yang juga merupakan pendiri Masjid Al-Islam Muhammad Cheng Ho dan Yayasan Muhammad Cheng Ho Sriwijaya PITI Sumsel yang saat itu diketuai oleh Bapak H. Haryanto. Berdasarkan penelitian menyatakan bahwa Masjid Cheng Ho juga memiliki keunikan pada bagian ornamen. Dimana ornamen masjid Cheng Ho memiliki perpaduan antara kebudayaan muslim Tionghoa dengan budaya Melayu, dan Nusantara. Ornamen yang menjadi ciri khas masjid Cheng Ho yaitu ada pada bagian gapura dan menara masjid. Hal ini dapat dilihat dari bentuk dan warna yang digunakan yaitu seperti nuansa Tionghoa atau Cina.Abstract: This study aims to determine the history and unique cultural values of the Cheng Ho Mosque in Palembang. The method used in this study is a qualitative method through direct observation and review by conducting library research to obtain research data. The results showed that the Al-Islam Muhammad Cheng Ho Mosque Sriwijaya Palembang or often known as the Cheng Ho mosque which is one of the mosques with Chinese Islamic nuances which was inaugurated in 2008. Al-Islam Muhammad Cheng Ho Mosque was founded by the PITI family in South Sumatra on a land grant. from PT. Amen Mulia to the PITI Organization through the intermediary of H. Syahrial Oesman for the blessing of the Palembang kyai KH.Mudarrin. SM and Kgs KH. M. Zen Syukri bin Kgs K. H Hasan Syukri who is also the founder of the Muhammad Cheng Ho Al-Islam Mosque and the Muhammad Cheng Ho Sriwijaya Foundation PITI Sumsel which at that time was chaired by Mr. H. Haryanto. Based on research, it is stated that Cheng Ho Mosque also has a uniqueness in the ornament section. Where the ornaments of the Cheng Ho mosque have a blend of Chinese Muslim culture with Malay culture, and the archipelago. The ornaments that characterize the Cheng Ho mosque are on the gates and minarets of the mosque. This can be seen from the shapes and colors used, which are like Chinese or Chinese nuances

Exploring the power conditioning system for fuel cell

Author name used in this publication: Cheng K. W. E.Author name used in this publication: Sutanto D.Author name used in this publication: Law K. K.Power Electronics Research Centre, Department of Electrical EngineeringRefereed conference paper2000-2001 > Academic research: refereed > Refereed conference paperVersion of RecordPublishe

On Deterministic Linearizable Set Agreement Objects

A recent work showed that, for all n and k, there is a linearizable (n,k)-set agreement object O_L that is equivalent to the (n,k)-set agreement task [David Yu Cheng Chan et al., 2017]: given O_L, it is possible to solve the (n,k)-set agreement task, and given any algorithm that solves the (n,k)-set agreement task (and registers), it is possible to implement O_L. This linearizable object O_L, however, is not deterministic. It turns out that there is also a deterministic (n,k)-set agreement object O_D that is equivalent to the (n,k)-set agreement task, but this deterministic object O_D is not linearizable. This raises the question whether there exists a deterministic and linearizable (n,k)-set agreement object that is equivalent to the (n,k)-set agreement task. Here we show that in general the answer is no: specifically, we prove that for all n ? 4, every deterministic linearizable (n,2)-set agreement object is strictly stronger than the (n,2)-set agreement task. We prove this by showing that, for all n ? 4, every deterministic and linearizable (n,2)-set agreement object (together with registers) can be used to solve 2-consensus, whereas it is known that the (n,2)-set agreement task cannot do so. For a natural subset of (n,2)-set agreement objects, we prove that this result holds even for n = 3

On the mean value of the Smarandache LCM function

For any positive integer n, the famous F.Smarandache LCM function SL(n) defined as the smallest positive integer k

Virtual laboratory development for teaching power electronics

Author name used in this publication: Cheng K. W. E.Author name used in this publication: Cheung N. C.Author name used in this publication: Sutanto D.Power Electronics Research Centre, Department of Electrical EngineeringRefereed conference paper2001-2002 > Academic research: refereed > Refereed conference paperVersion of RecordPublishe

Effects of Final State Interactions on Hadronic Charmless B Decays

Final-state rescattering effects on direct CP violation in charmless hadronic B decays and on the polarization anomaly in $B\to\phi K^*$ are discussed.Comment: 3 pages, talk given at the 2004 DPF Meeting, Riverside, CA. Aug 26-31, 200

Policy-Aware Unbiased Learning to Rank for Top-k Rankings

Counterfactual Learning to Rank (LTR) methods optimize ranking systems using logged user interactions that contain interaction biases. Existing methods are only unbiased if users are presented with all relevant items in every ranking. There is currently no existing counterfactual unbiased LTR method for top-k rankings. We introduce a novel policy-aware counterfactual estimator for LTR metrics that can account for the effect of a stochastic logging policy. We prove that the policy-aware estimator is unbiased if every relevant item has a non-zero probability to appear in the top-k ranking. Our experimental results show that the performance of our estimator is not affected by the size of k: for any k, the policy-aware estimator reaches the same retrieval performance while learning from top-k feedback as when learning from feedback on the full ranking. Lastly, we introduce novel extensions of traditional LTR methods to perform counterfactual LTR and to optimize top-k metrics. Together, our contributions introduce the first policy-aware unbiased LTR approach that learns from top-k feedback and optimizes top-k metrics. As a result, counterfactual LTR is now applicable to the very prevalent top-k ranking setting in search and recommendation.Comment: SIGIR 2020 full conference pape

Forecasting Inflation In Indonesia Using The Modified Fuzzy Time Series Cheng

Inflation is one of the most important indicators to analyze a country’s economy. Therefore, it is necessary to forecast the inflation rate. Forecasting can be done by various methods, one of which is Fuzzy Time Series Cheng. In this study, several modifications were made to the method used. The purpose of this study is to forecast using the Modified Fuzzy Time Series (FTS) Cheng method and determine the accuracy of the forecasting results obtained. The results of this study indicate that the Modified FTS Cheng method can be used in forecasting, either by determining the interval average-based or using the Sturges equation. Based on the results of the calculation of forecasting accuracy using Mean Absolute Percentage Error (MAPE), the accuracy for Modified FTS Cheng by determining the average-based interval for forecasting based on the current state and next state is 11.58% and 5.78%, respectively. Furthermore, the Modified FTS Cheng by determining the interval using the Sturges equation resulted in a MAPE value of 9.61% and a FTS Cheng of 7.54%. The MAPE value of each method is less than 10%, which means that the method has a very good performance, except for Modified FTS Cheng by determining the average-based interval for forecasting based on current state has good performance with MAPE values ​​between 10 % and 20%.  Inflasi merupakan salah satu indikator penting yang digunakan dalam menganalisa perekonomian di suatu negara. Oleh karena itu, perlu dilakukan peramalan terhadap tingkat inflasi. Peramalan dapat dilakukan dengan berbagai metode, salah satunya Fuzzy Time Series Cheng. Pada penelitian ini dilakukan beberapa modifikasi pada metode yang digunakan. Tujuan penelitian ini adalah melakukan peramalan menggunakan metode Fuzzy Time Series Cheng yang Dimodifikasi dan menentukan akurasi dari hasil peramalan yang diperoleh. Hasil dari penelitian ini menunjukkan bahwa metode Fuzzy Time Series Cheng Dimodifikasi dapat digunakan dalam melakukan peramalan, baik dengan penentuan interval berbasis rata-rata maupun menggunakan persamaan Sturges. Berdasarkan hasil perhitungan keakuratan peramalan menggunakan Mean Absolute Percentage Error (MAPE) diperoleh akurasi untuk Fuzzy Time Series Cheng Dimodifikasi dengan penentuan interval berbasis rata-rata untuk peramalan berdasarkan current state dan next state masing-masing sebesar 11,58% dan 5,78%. Selanjutnya, Fuzzy Time Series Cheng Dimodifikasi dengan penentuan interval meggunakan persamaan Sturges menghasilkan nilai MAPE sebesar 9,61% dan Fuzzy Time Series Cheng sebesar 7,54%. Nilai MAPE dari masing-masing metode kurang dari 10% yang berarti bahwa metode tersebut mempunyai kinerja yang sangat baik, kecuali Fuzzy Time Series Cheng Dimodifikasi dengan penentuan interval berbasis rata-rata untuk peramalan berdasarkan current state mempunyai kinerja yang baik dengan nilai MAPE berada antara 10% dan 20%