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Aminullah, Akhmad
Civil And Environment Engineering Of Gadjah Mada University
Arts Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Education Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Public Health Social Sciences Transportation

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Journal : Journal of Civil Engineering and Planning (JCEP)

 1 
Estimasi Biaya Struktur Gedung Rumah Sakit dengan Bentuk Persegi Panjang Menggunakan Metode Artificial Neural Network Ratih Dewanti; Akhmad Aminullah; Henricus Priyosulistyo
Journal of Civil Engineering and Planning (JCEP) Vol 2 No 2 (2021)
Publisher : Program Studi Sarjana Teknik Sipil Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/jcep.v2i2.5351

Abstract

Estimasi biaya struktur memiliki peran penting pada tahap perencanaan. Penelitian ini memanfaatkan metode Artificial Neural Network (ANN) sebagai metode pendekatan untuk menghasilkan estimasi biaya struktur gedung yang keakuratannya dapat diuji. Permodelan gedung merupakan struktur beton bertulang dengan model tipikal bentuk persegi panjang yang berfungsi sebagai gedung rumah sakit. Estimasi biaya struktur terdiri dari biaya pekerjaan balok, kolom dan pelat. Tahap pelatihan permodelan ANN menggunakan 60 variasi data dari pengembangan variabel penelitian berupa luas lantai, jumlah lantai, tinggi kolom, kelas situs, dimensi balok dan dimensi kolom. Hasil permodelan ANN menunjukkan estimasi biaya struktur lebih sensitif terhadap variabel dimensi balok dan kolom. Permodelan ANN estimasi biaya struktur menghasilkan nilai persentase error/MMRE sebesar ±1,55% pada data learning dan ±9,75% pada data uji random.
STUDI EKSPLORASI FAKTOR-FAKTOR KESUKSESAN PROYEK KONSTRUKSI DI INDONESIA Annisa Azhar Firdausi; Toriq arif ghuzdewan; Ashar Saputra; Akhmad Aminullah
Journal of Civil Engineering and Planning (JCEP) Vol 1 No 2 (2020)
Publisher : Program Studi Sarjana Teknik Sipil Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/jcep.v1i2.1493

Abstract

The high rate of growth of the construction sector in Indonesia has not been matched by its level of success. Problems are still found in many construction projects that result in project unsuccessfulness, including time loss and bad quality work. In order to support the success of construction projects in Indonesia, the aim of this study is to determine the critical factors that influence the success of construction projects in Indonesia. Data collection through questionnaires on 417 respondents who were directly involved in the project. The questionnaire was based on 4 previous studies, measured by a 5-point Likert scale of agreement and consisting of 64 project success variables. The analysis was performed using the Exploratory Factor Analysis (EFA). The results of this study indicate that there are 6 factors that influence the success of construction projects in Indonesia, namely: (1) Factors related to the Project Manager; (2) Factors related to the Contractor; (3) Factors related to Supervisors; (4) factors related to the project; (5) Factors related to Owner; and (6) Factors related to Owner2. Keywords : construction project, project success, critical success factor, EFA
STUDI EKSPLORASI FAKTOR-FAKTOR KESUKSESAN PROYEK KONSTRUKSI DI INDONESIA Annisa Azhar Firdausi; Toriq arif ghuzdewan; Ashar Saputra; Akhmad Aminullah
Journal of Civil Engineering and Planning (JCEP) Vol. 1 No. 2 (2020)
Publisher : Program Studi Sarjana Teknik Sipil Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/jcep.v1i2.1493

Abstract

The high rate of growth of the construction sector in Indonesia has not been matched by its level of success. Problems are still found in many construction projects that result in project unsuccessfulness, including time loss and bad quality work. In order to support the success of construction projects in Indonesia, the aim of this study is to determine the critical factors that influence the success of construction projects in Indonesia. Data collection through questionnaires on 417 respondents who were directly involved in the project. The questionnaire was based on 4 previous studies, measured by a 5-point Likert scale of agreement and consisting of 64 project success variables. The analysis was performed using the Exploratory Factor Analysis (EFA). The results of this study indicate that there are 6 factors that influence the success of construction projects in Indonesia, namely: (1) Factors related to the Project Manager; (2) Factors related to the Contractor; (3) Factors related to Supervisors; (4) factors related to the project; (5) Factors related to Owner; and (6) Factors related to Owner2. Keywords : construction project, project success, critical success factor, EFA
Estimasi Biaya Struktur Gedung Rumah Sakit dengan Bentuk Persegi Panjang Menggunakan Metode Artificial Neural Network Ratih Dewanti; Akhmad Aminullah; Henricus Priyosulistyo
Journal of Civil Engineering and Planning (JCEP) Vol. 2 No. 2 (2021)
Publisher : Program Studi Sarjana Teknik Sipil Universitas Internasional Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37253/jcep.v2i2.5351

Abstract

Estimasi biaya struktur memiliki peran penting pada tahap perencanaan. Penelitian ini memanfaatkan metode Artificial Neural Network (ANN) sebagai metode pendekatan untuk menghasilkan estimasi biaya struktur gedung yang keakuratannya dapat diuji. Permodelan gedung merupakan struktur beton bertulang dengan model tipikal bentuk persegi panjang yang berfungsi sebagai gedung rumah sakit. Estimasi biaya struktur terdiri dari biaya pekerjaan balok, kolom dan pelat. Tahap pelatihan permodelan ANN menggunakan 60 variasi data dari pengembangan variabel penelitian berupa luas lantai, jumlah lantai, tinggi kolom, kelas situs, dimensi balok dan dimensi kolom. Hasil permodelan ANN menunjukkan estimasi biaya struktur lebih sensitif terhadap variabel dimensi balok dan kolom. Permodelan ANN estimasi biaya struktur menghasilkan nilai persentase error/MMRE sebesar ±1,55% pada data learning dan ±9,75% pada data uji random.
Co-Authors Ahmad Rifa`i Ali Awaludin Almulianur Almulianur Angga Fajar Setiawan Annisa Azhar Firdausi Arief Setiawan Budi Nugroho Arif Setiawan Budi Nugroho Ashar Saputra Baehaki Baehaki Baehaki _ Bambang Agus Kironoto Bambang Suhendro Bambang Suhendro Brigitta Petra Kartika Narindri Danang Parikesit Djoko Sulistyo Djoko Sulistyo Henricus Priyosulistyo, Henricus K. T. N. Gherry Kinanti Faradiba Harahap Kinanti Faradiba Harahap KMS. M. Rama Perwira M. Fauzi Darmawan Maulana Agung Sedayu Muslikh Muslikh Ni Nyoman Nepi Marleni Nurul Alvia Istiqomah Panji Ginaya Taufik Panji Krisna Wardana Rachmad Jayadi Raka Bagus Panuntun Ratih Dewanti restu faizah Risang Aji Dananjoyo Suprapto Siswosukarto Suprapto Siswosukarto Taufik, Panji Ginaya Toriq arif ghuzdewan Triyoso, Christopher Y. A. Adhitama