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Investment Feasibility Analysis Of Resort X Development Project In Labuan Bajo Using Discounted Cash Flow And Monte Carlo Method Effendy, Alvaro; Setiadi, Mark; Pranoto, Wati Asriningsih
Eduvest - Journal of Universal Studies Vol. 4 No. 10 (2024): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v4i10.1491

Abstract

In general, tourist destinations in Labuan Bajo are synonymous with Komodo National Park which is one of the seven wonders of the world. This is the background for the developer to invest in the construction of resort X in Labuan Bajo. It is hoped that the X resort area can become an attraction for tourists in Labuan Bajo. In this study, a financial feasibility analysis was carried out to find out whether or not the investment to be made was feasible. The methods used are discounted cash flow (DCF) and Monte Carlo. The X resort construction project is built on an area of 113,396 m2 and is planned to build 263 units of shop houses and 1 unit of 4-star hotels as well as supporting buildings such as back of house (BOH) buildings, public toilets, floating libraries, arrival pavilions. The results of the analysis using the DCF method show a positive NPV value of Rp 87,895,000,000 and an IRR value of 17.66% greater than the Minimum Attractive Rate of Return (MARR) value of 10%, so that the project can be declared feasible to be implemented, as well as the Monte Carlo method which shows a positive NPV value of Rp 35,423,000,000 and an IRR value of 12.82% greater than the MARR value. Therefore, based on the results of the analysis of these two methods, the X resort project in Labuan Bajo can be declared feasible to be implemented.
Microscopic Sand Image Classification Using Convolutional Neural Networks Redja, Christie; Pranoto, Wati Asriningsih; Wulandari, Meirista
ULTIMA Computing Vol 16 No 2 (2024): Ultima Computing : Jurnal Sistem Komputer
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/sk.v16i2.3907

Abstract

Abstract” This research paper reviews the use of Convolutional Neural Networks (CNNs) to categorize diverse sand type using microscopic images, with an objective of improving quality control in construction materials. The paper compares three CNN architectures”LeNet-5, Inception v3, and ResNet50”for discriminating between specific sand categories, such as two river sands (Cipongkor and Citarum) and three types of silica sand (brown, cream, and white). Each model was trained and tested on different dataset splits, with images pre-processed to highlight specific microscopic properties. To achieve a thorough comparison, each model's performance was measured using a variety of measures such as F1-score, accuracy, recall, and precision. These measurements enabled a comprehensive evaluation of how accurately and reliably each CNN model categorized the various sand types. ResNet50 consistently delivered the highest accuracy, achieving perfect classification in some instances, showcasing its effectiveness in capturing fine details in sand textures. These results highlight the potential of CNN-based approaches for precise and automated sand classification, which supports increased quality assurance in construction and related areas. Index Terms” Convolutional Neural Network (CNN); sand classification; LeNet-5; Inception v3; ResNet50
ANALISIS SAMBUNGAN MORTISE-TENON KOLOM BETON PRACETAK DENGAN PIPA BAJA DIISI BETON Jusuf, Andrew Hartanto; Christianto, Daniel; Pranoto, Wati Asriningsih; Leman, Sunarjo; Tavio
Jurnal Teknik Sipil Vol. 17 No. 4 (2024)
Publisher : Program Studi Teknik Sipil Fakultas Teknik Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jts.v17i4.10119

Abstract

Kinerja struktur beton pracetak sangat bergantung pada sambungannya, terutama untuk komponen struktur beton pracetak dengan sambungan kering. Prosedur desain rasional diperlukan untuk memproporsikan spesimen yang akan digunakan dalam studi eksperimental. Dalam penelitian ini, prosedur desain sambungan mortise-tenon kolom-ke-kolom beton pracetak yang didasarkan pada spesimen uji meja getar berupa miniatur gedung rangka momen beton pracetak dengan sambungan dowel baja akan dikembangkan. Rangka momen khusus beton pracetak tiga tingkat digunakan untuk studi kasus penerapan prosedur desain yang telah dikembangkan. Dalam penelitian ini, pipa baja diisi beton dengan tegangan leleh 550 MPa digunakan untuk menggantikan dowel baja. Pipa berukuran Ø130 mm × 20 mm tersebut ditanam sedalam 600 mm ke dalam mortise pada ujung kolom atas dan ke dalam kolom bawah berukuran 450 mm × 450 mm agar bertindak sebagai tenon. Lubang silinder sedalam 600 mm dibuat di ujung kolom atas dengan menggunakan pipa berukuran Ø150 mm × 10 mm agar bertindak sebagai mortise. Beton dengan kuat tekan 35 MPa dan tulangan BJTS-420B digunakan pada semua komponen beton. Distribusi gaya sambungan serupa model Osanai untuk socket foundation digunakan untuk desain sambungan. Tiga kasus beban ditinjau dalam desain sambungan, yang meliputi faktor kuat lebih dan asumsi pembentukan sendi plastis balok. Studi kasus yang telah dilakukan menunjukkan bahwa tegangan tumpu, luas sengkang perlu, dan ukuran pipa lebih dipengaruhi oleh momen lentur dibandingkan gaya geser. Pipa baja bermutu tinggi dengan tebal relatif besar diperlukan untuk membatasi ukuran kolom.
POTENSI PENGGUNAAN IPAL DAN SPAH UNTUK MENGHEMAT PENGGUNAAN AIR PDAM PADA MAL Harijanto, Diana; Kurniawan, Vittorio; Pranoto, Wati Asriningsih
JMTS: Jurnal Mitra Teknik Sipil Volume 6, Nomor 4, November 2023
Publisher : Prodi Sarjana Teknik Sipil, FT, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jmts.v6i3.24989

Abstract

A shopping centre produces domestic wastewater every day. This domestic wastewater consists of blackwater (toilet) wastewater and greywater (household) wastewater. Wastewater generated by the industry is managed by a domestic Wastewater Treatment Plant (WWTP) system. This study was conducted to find the potential of WWTP and Rainwater Harvesting System to reduce water use in the area. Mal can save up to ±76,95% PDAM’s usage if the wastewater is used for all needs, they can save ±22,64% PDAM’s usage if the wastewater is used only for restroom and gardening needs, and they can save ±0,53% PDAM’s usage if the wastewater is used only for gardening needs. Mal can save up to ±33,27% PDAM’s usage if the rainwater that’s used comes from the roof and the parking lot. They can save ±19,51% PDAM’s usage if the rainwater only comes from the roof (existing). Based on analysis results and researches that’d been done, if the shopping centre wants to maximize the probability of the wastewater usage to save up PDAM’s usage, a demolition of the plumbing system needs to be done, so that the new plumbing system can be built afterwards. Abstrak Suatu pusat perbelanjaan menghasilkan air limbah domestik setiap harinya. Air limbah domestik ini terdiri dari air limbah kakus dan air limbah non kakus. Air limbah yang dihasilkan dikelola dengan sistem Instalasi Pengolahan Air Limbah (IPAL) domestik. Penelitian ini dilakukan dengan tujuan untuk mencari potensi IPAL dan Sistem Pemanenan Air Hujan (SPAH) untuk mengurangi penggunaan air dari Perusahaan Umum Daerah Air Minum (PDAM). Mal dapat menghemat pemakaian air PDAM sebesar ±76,95% bila air IPAL digunakan untuk seluruh kebutuhan air gedung, sebesar ±22,64% bila air IPAL digunakan untuk kebutuhan toilet dan penyiraman tanaman, dan sebesar ±0,53% bila air IPAL digunakan hanya untuk kebutuhan penyiraman tanaman. Untuk SPAH, mal dapat menghemat pemakaian air PDAM sebesar ±33,27% bila air hujan dari atap dan tempat parkir digunakan. Bila air hujan yang digunakan hanya dari atap (eksisting), maka penghematan yang terjadi hanya sebesar ±19,51%. Berdasarkan hasil analisis dan pengamatan yang sudah dilakukan, bila mal ingin memaksimalkan penggunaan air IPAL untuk menghemat penggunaan air PDAM, mal perlu membongkar sistem plumbing eksisting agar dapat dibuat sistem plumbing rencana.
FORMULASI FAKTOR MODIFIKASI KUAT TARIK BELAH UNTUK KUAT GESER BETON TANPA AGREGAT KASAR Christianto, Daniel; Pranoto, Wati Asriningsih; Jusuf, Andrew Hartanto; Kho, Dhea Angelica; Tavio
JMTS: Jurnal Mitra Teknik Sipil Volume 7, Nomor 2, Mei 2024
Publisher : Prodi Sarjana Teknik Sipil, FT, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jmts.v7i2.28994

Abstract

One way to create high strength concrete is to eliminate coarse aggregate from the concrete mixture. The lack of recommendations for the design of concrete without coarse aggregate can cause failures that must be avoided, especially brittle shear failures. One way to account for the properties of the concrete without coarse aggregate is to use a splitting tensile strength factor in the normalweight concrete shear strength equation. In this research, cylindrical specimens with the size of 150 mm × 300 mm and 100 mm × 200 mm were tested in compression according to ASTM C496 to obtain the concrete splitting tensile strength. All concrete specimens were made with a maximum aggregate size of 0,6 mm, superplasticizer, and silica fume. The specimens were treated through a curing process of 58 days before being tested. Based on the analysis of the test results, concrete without coarse aggregate with a compressive strength of 50.87 to 60.67 MPa has splitting tensile strength of 1.17 to 1.71 times the splitting tensile strength of normal concrete. The application of splitting tensile strength modification factor (λ) based on test results can gives a better prediction of the shear strength of concrete without coarse aggregate. Abstrak Salah satu cara untuk membuat beton mutu tinggi adalah dengan mengeliminasi agregat kasar dari campuran beton. Kurangnya rekomendasi desain beton tanpa agregat kasar dapat menyebabkan kegagalan yang harus dihindari, terutama kegagalan geser yang bersifat getas. Salah satu cara memperhitungkan sifat beton tanpa agregat kasar adalah dengan menggunakan faktor kuat tarik belah pada persamaan kuat geser beton normal. Dalam penelitian ini, benda uji silinder berukuran 150 mm × 300 mm dan 100 mm × 200 mm diuji tekan sesuai ASTM C496 untuk mendapatkan kuat tarik belah beton. Semua spesimen beton dibuat dengan ukuran agregat maksimum sebesar 0,6 mm, superplasticizer, dan silica fume, serta dirawat melalui proses curing selama 58 hari sebelum diuji tekan dan tarik belah. Berdasarkan analisis hasil pengujian, beton tanpa agregat kasar dengan kuat tekan sebesar 50,87 hingga sampai 60,67 MPa memiliki kuat tarik belah sebesar 1,17 sampai 1,71 kali kuat tarik belah beton normal. Penerapan faktor modifikasi kuat tarik belah (λ) berdasarkan hasil pengujian dapat memberikan prediksi kekuatan geser beton tanpa agregat kasar yang lebih baik.
Flood Inundation Mapping in the Cimanceuri River through Integration of HEC-HMS and HEC-RAS as A Basis for Flood Risk Management Fikri, Rijal Muhammad; Herawati, Henny; Pranoto, Wati Asriningsih
Jurnal Teknik Sipil Vol 25, No 4 (2025): Jurnal Teknik Sipil: Vol 25, No. 4, November 2025
Publisher : Fakultas Teknik Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jts.v25i4.97772

Abstract

Flooding has become a recurring hazard in parts of Tangerang Regency, particularly in the Cimanceuri River Basin, where communities are increasingly vulnerable to inundation. Repeated flood events recorded over recent years highlight the urgent need for data-driven approaches in flood risk mitigation and management. This study aims to model the basin's hydrological characteristics and hydraulic regime using the eventual inundation map to support flood risk management planning in Tangerang Regency. To do so, HEC-HMS was used to compute flood discharge during the March 3, 2025, event in Pagedangan Subdistrict. The computed discharge was used as input to generate the inundation map using HEC-RAS 2D, supported by LiDAR-derived digital elevation model data. This area imagery of flood inundation served as the basis for model calibration. The results showed that the developed model accurately mapped the inundation, yielding a simulated total inundation area of 6.705 hectares.