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Totok R. Biyanto

Teknik Fisika - Fakultas Teknologi Industri - Institut Teknologi Sepuluh Nopember Surabaya, Kampus ITS Keputih, Sukolilo, Surabaya 60111,

Author-ID : 242798

Civil Engineering, Building, Construction & Architecture Computer Science & IT Engineering

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1

Thermal Energy Storage Optimization in Shopping Center Buildings Biyanto, Totok R.; Alhikami, Akhmad F.; Nugroho, Gunawan; Hantoro, Ridho; Bayuaji, Ridho; Firmanto, Hudiyo; Waluyo, Joko; Sonhaji, Agus Imam
Journal of Engineering and Technological Sciences Vol 47, No 5 (2015)
Publisher : ITB Journal Publisher, LPPM ITB

In this research, cooling system optimization using thermal energy storage (TES) in shopping center buildings was investigated. Cooling systems in commercial buildings account for up to 50% of their total energy consumption. This incurs high electricity costs related to the tariffs determined by the Indonesian government with the price during peak hours up to twice higher than during off-peak hours. Considering the problem, shifting the use of electrical load away from peak hours is desirable. This may be achieved by using a cooling system with TES. In a TES system, a chiller produces cold water to provide the required cooling load and saves it to a storage tank. Heat loss in the storage tank has to be considered because greater heat loss requires additional chiller capacity and investment costs. Optimization of the cooling system was done by minimizing the combination of chiller capacity, cooling load and heat loss using simplex linear programming. The results showed that up to 20% electricity cost savings can be achieved for a standalone shopping center building.

Model Jaringan Saraf Tiruan Kuat Tekan Beton Porus dengan Material Pengisi Pasir Bayuaji, Ridho; Biyanto, Totok R.
Jurnal Teknik Sipil Vol 20, No 1 (2013)
Publisher : Institut Teknologi Bandung

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Abstrak. Beton porus adalah salah satu beton ringan dan bentuk dasarnya merupakan perpaduan antara pasir, semen, air (campuran dasar) dan foam (biasanya 0,1-1,0 mm diameter). Penelitian ini difokuskan pada aplikasi jaringan saraf tiruan (JST) untuk memprediksi kuat tekan beton porus. Metode JST dapat menangkap interaksi yang kompleks antara variabel input/output dalam suatu sistem tanpa pengetahuan sebelumnya dari sifat interaksi dan tanpa harus secara eksplisit mengasumsikan bentuk model. Makalah ini menjelaskan data penelitian yang ada, seleksi data dan proses pelatihan model JST, dan validasi. Hasil penelitian menunjukkan bahwa kuat tekan beton porus dapat diprediksi lebih akurat, mudah dan cepat dari densitas beton porus, rasio pasir dan semen dan distribusi ukuran partikel pasir.Abstract. Foamed concrete is one of light concrete and its basic form is a blend of sand, cement, water (the base mix) and a pre-formed foam (usually 0.1 to 1.0 mm in diameter). This research focus on application of artificial neural networks (ANN) to predict the compressive strength of foamed concrete mixtures. The ANN method can capture complex interactions among input/output variables in a system without any prior knowledge of the nature of these interactions and without having to explicitly assume a model form. Indeed, such a model form is generated by the data points themselves. This paper describes the database assembled, the selection and training process of the ANN model, and its validation. Results showed compressive strength of foamed concrete can be predicted much accurately, easy and fast from density of foamed concrete, sand and cement ratio and particle size distribution of sand.

ADAPTIF NEUROFUZZY INFERENCE SYSTEM UNTUK PENGUKURAN PH Biyanto, Totok R.
Jurnal Informatika Vol 7, No 2 (2006): NOVEMBER 2006
Publisher : Institute of Research and Community Outreach - Petra Christian University

Due to increasing of measurement performance necessity and pH controlling on laboratory scale and industry, it needs to make measurement system that can give the best performance with the high accuracy and robust with the disturbance and noise. Sensor of pH measurement is combination electrode with voltage output. This is influenced by hydrogen ion and liquid temperature. It will lead error if there is temperature changing in the measured process. In order to solve this problem, it needs pH measurement device that can measure pH without disturbed by temperature changes. ANFIS (Adaptive Neuro Fuzzy Inference System) can be used for identifying the voltage due from hydrogen ion and temperature changes. So, the pH measurement would be robust to temperature changes. Based on this result study, precision and accuracy device are 1.91% and 0.45% in the pH range 2-10.6 and temperature range 10-80oC. This gives conclusion that ANFIS can decrease pH reading error because of temperature changes. Abstract in Bahasa Indonesia : Seiring dengan meningkatnya kebutuhan performansi pengukuran dan pengendalian pH baik dalam skala laboratorium maupun industri maka perlu dibuat sistem pengukuran yang mampu memberikan performansi yang baik dengan akurasi yang memadai dan tahan terhadap ganguan dan noise. Sensor yang digunakan pada pengukuran pH adalah elektroda kombinasi dengan output tegangan. Tegangan tersebut selain dipengruhi oleh kehadiran ion hidrogen juga sangat dipengaruhi oleh temperatur larutan, sehingga akan terjadi kesalahan yang berarti bila ada perubahan temperatur pada proses yang diukur. Untuk mengatasi hal tersebut maka perlu dibuat alat ukur pH yang mampu mengukur pH tanpa terpengaruh oleh perubahan temperatur. Salah satu caranya adalah dengan memanfaatkan ANFIS (Adaptif NeuroFuzzy Inference System) untuk mengindentifikasi tegangan yang dihasilkan oleh kehadiran ion hidrogen dan tegangan yang disebabkan oleh perubahan temperartur, sehingga hasil pengukuran dapat relatif stabil terhadap ganguan temperatur. Dari hasil pengujian diperoleh kepresisian alat hasil perancangan sebesar 1.91% dan keakurasian sebesar 0.45%, dengan range pengujian pH 2-10.6 dan pada range temperatur 10 - 80 oC. Sehingga pengukuran pH berbasis ANFIS mampu mengatasi kesalahan pembacaan pH akibat perubahan temperatur. Kata kunci: pengukuran pH, kompensasi temperatur, ANFIS.

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