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    Analyze the Polishing Process Unit Dynamics in PT. SIPL Using Artificial Neural Networks

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    The wastewater treatment plant in the industry aims to reduce hazardous high concentrations of industrial products waste to the environment by using biological processes. In biological waste treatment, the role of micro biological conditions is very important to produce effluent results in accordance to government regulations. Utilization of automation technology in wastewater treatment plants to improve the ability of operators to monitor and operate the waste treatment process optimally. With technology of polishing unit artificial neural network (ANN) modeling to obtain the accuracy of wastewater quality index prediction. This study aims to analyze the dynamics of the polishing unit process in PT. SIPL through a simulation of polishing unit process dynamics model by using artificial neural networks. The dynamics analysis results of the polishing unit from artificial neural network is similar with the dynamics of actual polishing unit process. The error between dynamics analysis of polishing unit modeling by artificial neural network and data of polishing unit actual is very small. Therefore modeling with artificial neural networks for polishing unit can be used to describe the actual polishing unit

    Experimental Study and Numerical Analysis of Floating Crane Catamaran Mooring Tension in Intact and Damage Conditions Using Time-Domain Approach

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    Floating Crane Catamaran equipped with a mooring system to keep stable while operating. During operation, wave load causes tension on the mooring system. In this study, the tension of the mooring system was analyzed using experimental studies and numerical analysis with intact and damaged mooring conditions. Experimental studies were carried out by simulating a physical model in the Ocean Basin Maneuvering Laboratory, BTH-BPPT. While numerical using related software. Mooring tension analysis is carried out using the frequency domain approach which refers to the API RP 2SK rules. The sum of the average tension, significant low frequency tension and maximum wave frequency tension is the maximum tension of the mooring system. The low frequency tension and wave frequency tension is obtained by the low-band-pass filter process. The stochastic value is obtained by the FFT of low frequency and wave frequency tension. The results of maximum tension from experimental and numerical at intact conditions, wave headings 90°, Hs  2.5 m, are 373.7 kN and 441.6 kN and at Hs  6.37 m are 565.6 kN and 1741.5 kN. In the damaged condition, wave heading 90°, Hs 2.5 m, the maximum tension is 863.9 kN and 2113.3 kN

    Pemahaman Pelaku Desain Residensial Bertingkat Tinggi pada Performance-Based Building Design (PBBD) di Surabaya

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    Pembangunan  properti  residensial  tidak  lepas  dari  permintaan  akan  hunian  yang  terus berkembang di kota Surabaya. Guna memenuhi permintaan tersebut, residensial berting- kat tinggi dituntut agar sesuai dengan kebutuhan pengguna. Hal ini dapat dilakukan pada saat proses desain. Namun proses desain sering terjadi kegagalan yang terukur pada saat konstruksi, sehingga berimbas kepada kepuasan pengguna pada masa pasca huni. Perfor- mance-Based Building Design (PBBD) membahas mengenai kinerja bangunan yang dapat ditentukan di  awal  sejak  bangunan  tersebut  dalam  tahap  desain,  sehingga penelitian  ini bertujuan untuk mengetahui pemahaman pelaku desain terhadap konsep PBBD. Dengan pemahaman terhadap PBBD, tim desain dapat meningkatkan inovasi dengan mengartiku- lasikan hasil kinerja bangunan dalam memenuhi kinerja secara efektif dan efisien. Selain itu pelaku desain juga dapat mempertimbangkan lebih banyak perspektif karena melibat- kan  berbagai  disiplin  ilmu,  serta  desain  yang  dibuat,  diterjemahkan  dan  diintegrasikan sesuai dengan kebutuhan pengguna akhir bangunan. Metode yang digunakan pada peneli- tian ini yaitu survei berupa kuesioner sebagai alat pengumpulan data, yang dibagikan kepa- da pelaku desain di kota Surabaya. Dari pengumpulan data tersebut dihasilkan sebanyak 42,65% pelaku desain mengetahui konsep PBBD, sebesar 19,12% pelaku desain yang belum mengetahui  konsep  tersebut,  responden  yang  mengetahui  dan  menggunakannya  dalam proses desain sebesar 22,06% dan 16,18% yang mengetahui PBBD namun belum menggu- nakannya dalam proses desain

    Analisis Risiko Kecelakaan Lalu Lintas di Jalan Raya Kabupaten Nganjuk Menggunakan Poisson Point Process on a Linear Network

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    Kecelakaan lalu lintas yang terjadi di Kabupaten Nganjuk dalam rentang waktu 3 tahun terakhir cukup tinggi, tercatat terdapat 2039 kecelakaan dan terdapat 1977 data lokasi kejadian yang tercatat oleh SATLANTAS Kabupaten Nganjuk dimana sebagian besar lokasi kecelakaan  tersebar pada jalan arteri primer dan kolektor primer. Kejadian kecelakaan selama tahun tersebut paling sering terjadi pada Bulan Desember, hari Senin dan di jam 09.00 – 10.00 pagi dan 18.00 – 19.00 malam. Jumlah kecelakaan lalu lintas selama 2018 – 2020  yang terjadi pada siang hari ada sebanyak dua kali lipat dibandingkan pada malam hari, selain itu jumlah kecelakaan pada jalan luar kota juga hampir dua kali lipat dari pada jalan dalam kota.. Kedua kovariat kategorik yang digunakan dijadikan sebagai marks dan masing-masing dimodelkan menggunakan model Poisson Point Process on a Linear Network. Model dengan kovariat waktu kejadian menghasilkan nilai estimasi dari intensitas kecelakaan lalu lintas di siang hari yang 62,3% lebih tinggi dibandingkan dengan intensitas kecelakaan lalu lintas pada malam hari. Sedangkan, untuk model menggunakan kovariat jenis jalan, dapat diinterpretasikan bahwa intensitas kecelakaan pada jalan luar kota dua kali lipat lebih tinggi dibandingkan dengan intensitas kecelakaan lalu lintas pada jalan dalam kota.  Hasil yang didapatkan, model dengan kovariat jenis jalan menghasilkan nilai AIC yang lebih kecil

    Pengendalian Kualitas Statistik pada Tepung Terigu Menggunakan Peta Kendali Multivariat

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    Persaingan di dunia industri kini semakin ketat, sehingga perlu untuk meningkatkan kualitas pada suatu produk. Pada penelitian ini, karakteristik kualitas yang ingin diuji adalah kadar Moisture, Ash, dan Gluten pada tepung terigu. Metode statistik yang digunakan untuk mengendalikan kualitas proses yaitu diagram kendali multivariat Generalized Variance dan T2 Hotelling serta kapabilitas proses dari masing-masing karakteristik kualitas dan kapabilitas proses multivariat. Tujuannya ingin diketahui data pengamatan sudah terkendali atau tidak secara statistik, serta ingin diketahui kapabilitas prosesnya. Dari data yang diperoleh, data dibagi menjadi dua fase dengan fase 1 jumlah subgroup yang diambil sebesar 35 dan fase 2 jumlah subgroup sebanyak 5 dan masing-masing ukuran subgroup adalah 8. Hasil penelitian ini yaitu data pengamatan bersifat dependen dan data berdistribusi normal multivariat. Diagram kendali Generalized Variance belum terkendali secara statistik, begitu pula dengan peta kendali T2 Hotelling belum terkendali secara statistik. Pada analisis kapabilitas proses pada masing-masing karakteristik kualitas, diperoleh bahwa data pengamatan kandungan moisture, ash, dan gluten pada tepung terigu belum kapabel atau belum sesuai dengan spesifikasi yang telah ditentukan.

    Application of Lean Thinking in Reducing Turn Around Time on the Quality Control Process at Nickel Processing Plant

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    This work presents a case study focused on reducing the turn around time in the quality control process at Nickel processing plant, using Lean Thinking tools. The Nickel industry, the process is drying, reducting, smelting, and converting. This process needs to be controlled to get the optimal result, and the process needs to be controlled quickly. So the analysis data must be generated in a short time. They are recording time and activities from sampling until reporting the data carried out to analyze the current situation using value stream mapping to identify the main problem, such as high waiting times. The root cause of the main problem is sought by using the fishbone diagram and given an improvement suggestion according to the origins of the problem. The application of these improvements can reduce the analysis time in the quality control process by 98.52% of the total cycle time

    Effects of Pivot Windows and Wing Walls on Single Sided Natural Ventilation in Rumah Susun (Walk Up Flat)

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    Rumah susun (walk up flat) are one of the buildings that rely on natural ventilation. However, the application of natural ventilation in rumah susun (walk up flat) in urban areas is influenced by tropical climate problems such as high temperatures and low wind speeds. The design of the openings in the facade has not been able to distribute air into rooms properly. In addition, the layout design makes single-sided natural ventilation the only strategy possible for double loaded corridor type flat. This study aimed to determine the effect of a combination of pivot window designs and wing walls in directing and distribute air into room. The study was conducted in two stages, that was field measurements and experimental with Computational Fluids Dynamics simulations. Simulations were conducted on a combination designs of wing walls and pivot window with 45o and 90o opening angles to determine their effects on the distribution and indoor air velocity. The combination design of wing walls and pivot window created a pressure difference so that it could increase indoor air velocity under both oblique and parallel to the opening. In the direction of the wind that was not oriented to the openings, the combination of wing walls and vertical pivot windows with 90o opening angles increased indoor air velocity up to five times in the corner room. While the 45o opening angle increased the indoor air velocity up to seven times than base case condition in a middle room

    Analysis and Control for Heavy Equipment Spare Parts Inventory in the Nickel Mining Industry

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    In the mining industry, analyzing, and controlling the spare parts inventory is important activities and need special attention from the company. The high production cost of the mining industry, including spare parts and shortages costs affects the financial and operational aspects of the company. Spare parts inventory management policy is critical to increase the service level and minimize spare parts cost. In this mining case study, the out of stock incidents in the heavy equipment spare parts were often occurring and significantly affecting the performance of maintenance and operations. The purpose of this study is to determine minimum stock (safety stock) and maximum stock to reduce overstocks and reduce the number of stocks out in spare parts inventory and as well as inventory cost. The method used to solve the problem is economic order quantity (EOQ) and continuous review control (S, s) to determine the minimum and maximum stocks. Determining the combination of S and s has a major impact on the success of inventory control. Substitution parts are subdivided into alphabetical values to determine their significance. As a result of calculating inventory value using EOQ and S, s will get the highest inventory value to reduce inventory costs

    Implementation Lean Manufacturing Method of Plywood Manufacture Company

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    The Plywood company in this study was able to produce 6,000m3/ year of plywood, but during 2018 and 2019 this company was only able to provide 2,905.14 m3/year and 1,120.73 m3/year. Production in 2018 and 2019 is far below the production capacity. This research will apply the lean manufacturing concept in the production process of a plywood company. This research uses value stream mapping (VSM), value stream analysis tools (VALSAT), process activity mapping (PAM), Pareto diagrams, and root cause analysis. It is found extreme categories that occur in many processes, namely processing production and inventory. The recommendations given are to reduce employees and provide adequate storage. The future state VSM shows that a change in a lead time of 68%, and the reduction of the production process is 248.18 minutes. 

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