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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) MEDIA KOMUNIKASI TEKNIK SIPIL Jurnal Sains dan Teknologi TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Informatika Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Proceedings ACES (Annual Civil Engineering Seminar) Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Jurnal Teknik Sipil Jurnal Teknik International Journal of Artificial Intelligence Research RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Seminar Nasional Teknologi Informasi Komunikasi dan Industri Dinamisia: Jurnal Pengabdian Kepada Masyarakat SIKLUS: Jurnal Teknik Sipil Jurnal Rekayasa Sipil Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat JURNAL SAINTIS Jurnal Infrastruktur Jurnal Ilmiah Telsinas Elektro, Sipil dan Teknik Informasi Journal of Infrastructure and Civil Engineering SAINSTEK INDONESIAN JOURNAL OF URBAN AND ENVIRONMENTAL TECHNOLOGY Jurnal Bangunan: Konstruksi & Desain Jcommits : The Journal of Community Empowerment, Innovation, and Sustainability
Reni Suryanita
Department Of Civil Engineering, Engineering Faculty, Universitas Riau, Pekanbaru, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Transportation Other

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Prediksi Respons Struktur Jembatan Beton Prategang Berdasarkan Spektrum Gempa Indonesia Dengan Metode Jaringan Saraf Tiruan Andi Wijaya; Reni Suryanita; Zulfikar Djauhari
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 3, No 1 (2016): Wisuda Februari Tahun 2016
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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Abstract

The design of prestressed concrete bridge on high-risk seismic zones should consider the responses characteristic of the bridge structure. The structural responses such as displacement, velocity, and acceleration which are based on Indonesia’s Seismic Hazard Map, could be predicted by using Artificial Neural Network (ANN) method. In this research, the bridge model was adopted from the real prestressed concrete bridge located in Kecamatan Tapung, Kabupaten Kampar to analyze the bridge structural response and evaluate the potential of ANN to predict the results. The bridge structure was modeled in finite element software, then the response spectrum analysis was performed based on RSNI 2833-201X. For the seismic locations, 34 capital cities and 5 other big cities in Indonesia were chosen. Then by adding 3 soil conditions, 117 data sets were produced. Based on the analysis results, the largest structural response was observed in Palu City with 0,0738 m of displacement, 1,8406 m/sec of velocity, and 24,7666 m/sec2 of acceleration. For the ANN analysis, 102 data sets were used in training phase and the remaining 15 data sets were used in testing phase. After the training and testing process, the ANN model has the potency to predict bridge structural response at 93 to 97% of prediction rate and the calculated Mean-Squared Errors (MSE) is as low as 0,00019. This indicates that the ANN model adopted in this research is capable of predicting the structural response of bridge with high accuracy. Keywords: prestress concrete bridge, structural responses, Artificial Neural Network (ANN), response spectrum
Analisis Numerik Kuat Lentur Elemen Balok T Curved Tile Semi Pracetak Dengan Variasi Mutu Beton Cast In Place Rian Fajri Ramadanas; Ismeddiyanto Ismeddiyanto; Reni Suryanita
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 4, No 1 (2017): Wisuda Februari Tahun 2017
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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Abstract

T beam elements curved tile semi precast is a combination concrete precast with concrete cast in place, which aims to improve the efficiency construction of reinforced concrete structures. Quality concrete cast in place, can be influenced by various factors such as human error, weather and others. Thus the need to be studied further how the influence of variations in the quality of concrete cast in place. The purpose of this study is to analyze the results of the flexural strength T beam semi precast elements, especially against the load-deflection relationship, the moment-curvature, and the pattern of cracks caused. The study used curved tile T beam semi precast element with dimension of 60 cm width, height 18 cm, and a length of 300 cm. Quality of precast concrete is 22 MPa and the quality variations of cast in place concrete were 15 MPa, 19 MPa, 20 MPa, 22 MPa and 25 MPa. The axial load of T beam Model increased, starting from zero up to fail. Base on the finite element analysis software improved, the received axial load greater the 20,51 kN, 21,00 kN, 23,47 kN, 23,67 kN and 23,80 kN. For the moment curvature analysis results, with increases in the quality of concrete, moment that occurs is also increasing the 20,51 kNm, 21,00 kNm, 23,47 kNm, 23,67 kNm and 23,80 kNm. Cracks that occurred on all elements of T semi precast beams are cracked flexural, where the bending moment occurred on the area's largest. Therefore this study can be an additional reference to community and alternative in the manufacture of semi precast T beam element, as well as understanding of the use of computer applications in the identification of mechanical properties of concrete.Keywords: Cast In Place Concrete, Curved tile, Finite Element Analysis Software, Flexural Strength, Concrete Precast, T Beam
Evaluasi Potensi Jaringan Saraf Tiruan Dalam Memprediksi Respons Struktur Gedung Bertingkat Berdasarkan Spektra Gempa Di Wilayah Indonesia Vindy Salim; Reni Suryanita; Iskandar Romey Sitompul
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 3, No 1 (2016): Wisuda Februari Tahun 2016
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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Abstract

Design of quake resistance building is very important in Indonesia, where most of Indonesia’s region located in quake zone with low to high intensity. Analysis of structure response can be done by using the help of finite element software, but needs time and iscomplicated when designing takes place. One of the solution in analyzing structure response faster and easy to operate is with using Artificial Neural Network (ANN). Deciding transferfunction in ANN analysis is important as it can ease our ANN analysis based on displacement, velocity, and acceleration as input data. This research is intended to evaluate structureresponse based on variation of quake load based on location of Indonesia’ capital of province, which are 34 provinces. With the help of finite element software analysis, total dataobtained for JST is 1836 data. In this research, the composition used for training, testing, and validation for whole data is 60%, 20%, and 20% respectively. Input parameters arequake data, soil type, and elevation, meanwhile for output is structure response for each direction. Testing result showed that the accuracy of ANN in predicting structure responsereach 99%. Evaluation result of ANN analysis showed that transfer function of Tan-Sigmoid and Purelin gives good prediction with Tan-Sigmoid as the best one with 99% accuracy.ANN analysis result showed that irregular buildings have 99% accuracy for training and testing, meanwhile regular buildings has about 90% for training and testing. This showedthat ANN with function transfer Tan-Sigmoid can be used for predicting structure response fast and accurately, as well can be used as reference for designer in designing quake resistance building.Key Words: Artificial Neural Network, structure response value, finite element software, response spectrum, Tan-Sigmoid
Aplikasi Backpropagation Neural Network (BPNN) Dalam Memprediksi Respon Sistem Rangka Baja Bertingkat Berdasarkan Spektra Gempa Indonesia Ismail Rahmadtulloh; Reni Suryanita; Enno Yuniarto
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 4, No 2 (2017): Wisuda Oktober Tahun 2017
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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The planning of multi-story steel portal frame needs to watch for the resulted structure response due to the planning of earthquake-resistant building is needed in the earthquake-vulnerable area such as Indonesia. One of the method used to predict structure response of multi-story steel portal frame is Artificial Neural Network (ANN). The structure used to get the structure response is 10-story steel portal frame, modeled with the help of a element software and earthquake spectrum response analysis method according to SNI 1726-2012. Analyzing is conducted on each capital city of the 34 provinces with 3 different soil types, resulting in 102 data sets. It is therefore concluded that biggest values of movement response and structure velocity are, respectively, 0,0497 m and 0,0292 m/s in the city of Palu, and then the biggest value of structure acceleration is 2,15932 m/s2 on Palu. The accuracy level reaches 99% with 816 training data sets and Mean-Squared Errors (MSE) value is 0,00485. Therefore, it is concluded that ANN can predict multi-story steel portal frame response on all capital cities in Indonesia.Keyword : Multi-story steel portal frame, structure response, Artificial Neural Network
Pengaruh Penambahan Serat Tebu Terhadap Sifat Fisik Pada Campuran Beton Normal Ahmad Obi Narman; Zulfikar Djauhari; Reni Suryanita
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 5 (2018): Edisi 2 Juli s/d Desember 2018
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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This research aims to study the physical properties of concrete with the use of bagasse. The research consisted of 3 tests, they were porosity, shrinkage, compressive strength. The bagasse used were 0.3%, 0.5% and 0.7% of total weight of coarse aggregate. The specimen was tested at 7, 14, and 28 days. The test result showed that the porosity of specimens containing bagasse were higher than that of the control specimen, BN. The porosity of specimen BST 0.7% was 19.3% higher comparing to that of BN. Furthermore, the compressive test showed that the compressive sthrength specimen BN was 25.653 MPa, it was higher than that of specimens containing bagasse fiber. The concrete shrinkage test showed that the predicted shrinkage according to ACI 209 was higher than that of gained from the direct measurement. The shrinkage value for the ACI 209 method was 218 μm. Based on the results of direct measurement, the highest shrinkage value obtained on specimen containing 0.7% fiber concrete was 88 μm. .Keywords : Bagasse, Porosity, Shrinkage, Compressive Strength
Analisis Kekuatan Kolom Beton Bertulang Dengan Penampang Persegi Dan Silinder Akibat Beban Ledakan (Blasting Loads) Brian Priadana Mulrony; Reni Suryanita; Ismeddyanto Ismeddyanto
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 3, No 2 (2016): Wisuda Oktober Tahun 2016
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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Bomb attack by terrorist in recent years had caused significant damage to structures, especially building structures. A bomb explosion within or nearby a building could cause huge damage toward structure even life loss. Due to the threat of bomb attack and it’s impact, it had become necessity to analyze the effect of blasting load on structures. One of solution that could be applied in order to decrease the impact was by strengthening the column element of a building. This research compared the column strength between cylinder column and square column. Each column had equal quality of concrete material and steel reinforcemenl. The purpose of this research was to conclude which type of column had better strength when subjected to blasting load. There were four portals variation used in this analysis, which each portal subjected to different parameter of blasting load. Parameter of blasting load used were 100 kg and 500 kg weight of TNT with 10 m and 15 m stand-off distance. The type of blasting load in this analysis was surface burst and its parameter calculated with ATBlast software. Beside variation of weight and stand-off distance, location of bomb planted also variated too, which were in front of and beside of building. Analysis result showed that among all of portal variation, the cylinder column had better strength than square column. It was proven by capacity design check and percentage of failed column. Based on analysis result, cylinder column type had smallest percentage of failed column with 6.06%, whereas the square column type had largest percentage of failed column with 59.60%.Keywords: Blasting loads, Reflection wave, Surface Burst, Interaction Diagram
Prediksi Tingkat Kerusakan Struktur Bangunan Beton Bertulang Berdasarkan Riwayat Waktu Gempa Dengan Metode Jaringan Saraf Tiruan Muhamad Zulfakar; Reni Suryanita; Enno Yuniarto
Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Vol 3, No 2 (2016): Wisuda Oktober Tahun 2016
Publisher : Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains

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Abstract

Indonesia is one of the countries that located in quake zone. The potential of earthquake that could cause the damage to the building should be considered into the design of the building. Therefore, one of the solutions to analyzing the structural responses and the damage level promptly and easily when the earthquake occurred is with using Artificial Neural Network (ANN). The building model is a reinforced concrete building with 10 floors and height between floor is 3.6 m. Model building receives a load of earthquake based on earthquake time history of New Zealand, San Francisco, Cape Mendocino, El Centro, Loma Prieta, San Fernando, Kocaely, Nenana and Danieli. Each time history scaled to 0,5g, 0,75g, and 1,0g. In addition, this earthquake time history also scaled to the PGA of Pekanbaru. Artificial Neural Network (ANN) are designed in 4 architectural models using MATLAB program. Model 1 is ANN with the input of the displacement, velocity and, Model 2 is ANN with the input of displacement, Model 3 is ANN with the input of velocity, and Model 4 is JST with the input of acceleration. Output of the ANN is the damage level of building with the category of Safe, Immediate Occupancy (IO), Life Safety (LS) or in a condition of Collapse Prevention (CP). Artificial neural network trained with 8 data sets of earthquake time history, and the remaining 1 data set of earthquake time history was used for simulation. Artificial neural network models has the prediction rate to predict the damage level between 85%-95%. The results from simulation with the 913 data from time history of Danieli’s earthquake for all scales is 93,32% data could be predicted correctly by ANN Model 1. For the Model 2, Model 3, Model 4 in a row could provide prediction correctly up to 92,11%,91,46% and 87,62%. This indicates that artificial neural networks can predict the damage level of building with average accuracy 90,13%.Keywords: Artificial neural network, structural response, time history, damage level.
Sifat Fisik Paving Block Komposit sebagai Lapis Perkerasan Bebas Genangan Air (Permeable Pavement) Elsyani Eka Putri; Ismeddiyanto; Reni Suryanita
JURNAL TEKNIK Vol. 13 No. 1 (2019): Edisi April 2019
Publisher : JURNAL TEKNIK UNILAK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/teknik.v13i1.2557

Abstract

ABSTRAK Peningkatan pembangunan menyebabkan semakin berkurangnya daerah resapan air. Hal ini dapat mengganggu sistem hidrologi dan menyebabkan banjir ketika musim hujan. Alternatif untuk mengatasi masalah tersebut digunakan suatu inovasi paving block komposit yang merupakan perpaduan antara paving block dan beton porous. Penelitian ini bertujuan untuk mempelajari pengaruh penambahan beton porous terhadap sifat fisik paving block komposit yaitu densitas, absorbsi dan laju infiltrasi. Paving block komposit dirancang memiliki kemampuan meloloskan air dan mutu yang baik. Paving block komposit diisi dengan beton porous dengan variasi diameter 1 ½”, 2”, 2 ½” dan 3”. Paving block komposit yang digunakan berbentuk segi enam, dengan ukuran sisi 100 mm dan tebal 80 mm. Nilai FAS dari campuran paving block dan beton porous adalah 0,4 dan 0,3 sedangkan perbandingan semen dan agregat adalah 1 : 3. Hasil penelitian menunjukkan semakin bertambahnya persentase beton porous pada paving block semakin rendah nilai densitas dan absorbsi. Disisi lain, paving block komposit yang memiliki kuat tekan tertinggi memiliki laju infiltrasi terendah. Nilai optimum laju infiltrasi paving block komposit sebesar 2,78 mm/s dengan kuat tekan 20,8 MPa. Berdasarkan hasil pengujian dapat disimpulkan bahwa inovasi paving block komposit dapat dijadikan sebagai lapis perkerasan yang memiliki kemampuan meloloskan air (permeable pavement). Kata Kunci: absorbsi, densitas, laju infiltrasi, paving block komposit ABSTRACT The development in construction has led to the reduction of water catchment area. This situation could disrupt the hydrological system and caused floods during rainy season. An alternative to overcome this this issue is the use of paving block composite; which isthe combination of concrete paving block and porous concrete. This research aims to study effect of the addition of porous concrete to the physical properties of paving block composite, e.g : the density, the absorption and the infiltration rate. The specimen was designed to have the ability to escape the water and and maintain its quality in good condition. The specimen was filled with the porous concrete with the variation of diameter of 1½”, 2”, 2½”, and 3”. The specimen was a six-sides polygon, with the length of each size of 100 mm and the thick of 80 mm. The water ratio of concrete paving block and the porous concrete were 0.4 and 0.3, respectively while the composition of cement and aggregate for each was 1 : 3. The results showed that the higher the porous concrete used in paving block the lower the value of its density and its absorption. On the other hand, higher compressive strength resulted in lower infiltration rate of the composite paving block. The optimum infiltration rate of 2,78 mm/s was achieved on the specimen with the compressive strengthof 20,8 MPa. Based on the results of testing, it can be concluded that the innovation of composite paving blocks has good quality and has the ability to escape water, making it possible to reduce waterlogging. Keywords: absorption, density, infiltration rate, composite paving blocks
Sifat Mekanik Paving Block Komposit Sebagai Lapis Perkerasan Bebas Genangan Air (Permeable Pavement) Iqbal Maulia; Ismeddiyanto; Reni Suryanita
JURNAL TEKNIK Vol. 13 No. 1 (2019): Edisi April 2019
Publisher : JURNAL TEKNIK UNILAK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/teknik.v13i1.2558

Abstract

Penggunaan beton sebagai lapis perkerasan jalan dan pemukiman akan mempengaruhi proses infiltrasi sehingga mengakibatkan terjadi genangan atau banjir ketika musim hujan. Adapun alternatif untuk mengatasi masalah tersebut yaitu digunakan inovasi perkerasan paving block komposit. Paving block komposit merupakan penggabungan paving block dan beton porous. Penelitian ini bertujuan meningkatkan kuat tekan beton porous namun tidak mengurangi kemampuannya untuk meloloskan air dan mengkaji sifat mekanik yaitu kuat tekan. Pada penelitian ini beton porous diisi pada bagian tengah paving block dengan variasi diameter beton porous yang dibuat adalah 1 ½”, 2”, 2 ½”, dan 3”. Pengujian kuat tekan dilakukan pada umur 28 hari. Pada pengujian kuat tekan, nilai tertinggi didapat dari masing-masing variasi berturut-turut adalah 39,260 MPa, 3,864 MPa, 21,747 MPa, dan 15,204 MPa. Klasifikasi paving block berdasarkan mutu kuat tekan didapat bahwa variasi 1 ½” dan 2” termasuk kedalam mutu B, variasi 2 ½” termasuk kedalam mutu C dan variasi 3” termasuk kedalam mutu D. Sehingga dapat disimpulkan nilai optimum kuat tekan inovasi paving block komposit yaitu sebesar 20,80 MPa dengan laju infiltrasi 2,78 mm/s. Nilai optimum tersebut termasuk kedalam mutu B yaitu pada variasi diameter 2” dan 2½”. Paving block komposit diameter 2” dan 2½” ini dapat digunakan sebagai lahan parkir atau trotoar pejalan kaki dan mampu mengatasi banjir ataupun genangan air.
ANALISIS TEGANGAN BIDANG (PLANE STRESS) DINDING GESER (SHEAR WALL) GEDUNG BERTINGKAT Sondra Raharja; Reni Suryanita; Zulfikar Djauhari
Siklus : Jurnal Teknik Sipil Vol. 3 No. 2 (2017)
Publisher : Program Studi Teknik Sipil Fakultas Teknik Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/siklus.v3i2.381

Abstract

Salah satu upaya untuk memperkuat struktur bangunan gedung bertingkat tinggi adalah dengan membuat shear wall yang terhubung dan terintegrasi dengan struktur portal gedung tersebut. Shear wall merupakan salah satu komponen struktur yang berfungsi untuk menahan gaya geser akibat timbulnya gaya lateral gempa. Gaya lateral gempa yang bekerja, menyebabkan timbulnya tegangan-tegangan pada bidang shear wall. Tegangan-tegangan bidang shear wall ini berupa tegangan normal arah x (sxx), tegangan normal arah y (syy) dan tegangan geser arah xy (txy). Analisis tegangan bidang ini disebut juga Analisis Plane Stress, yaitu analisa tegangan bidang dengan perbandingan antara tebal dan lebar atau antara tebal dan tinggi adalah kecil. Jika tebal dalam arah sumbu z, maka z sangat kecil. Dalam riset ini, selain tegangan bidang shear wall yang dihasilkan dari analisis plane stress, juga diperoleh deformasi sebagai hasil dari terjadinya perpindahan akibat pengaruh gaya luar pada setiap elemen bidang. Joint displacement yang paling besar terjadi pada titik paling atas pada shear wall, yaitu sebesar 0.26 m pada titik 20 dan 21. Sedangkan pada titik paling bawah atau pada dasar tidak terjadi perpindahan, karena pada dasar shear wall, joint dikekang dengan perletakan sendi. Kemudian dari hasil perpindahan tersebut akan dihasilkan gaya dan regangan pada setiap elemen bidang shear wall.Tegangan maksimum terjadi pada elemen 1, yaitu elemen yang paling bawah dari shear wall. Besar tegangan pada elemen ini adalah sebesar sxx = 4039,579 kN/m2, syy = 20197,579 kN/m2 dan txy = 14208,841 kN/m2. Hasil tegangan bidang tersebut selanjutnya digunakan untuk perencanaan konstruksi beton bertulang shear wall.
Co-Authors ', smeddiyanto Abrar Rifqi Pratama Afisha, Elly Afisha, Elly Ahmad Hamidi Ahmad Obi Narman Ahmad Riadi Ahmad Riadi Alex Kurniawandy Aminuyati Andi Wijaya Anggi Agusstiawan Appriliya Destiyani Aprilia Andoni, Elsa Aras Mulyadi Ardiansyah, M. Syukri Ardyansah, Rofika Ratna Ari Sandhyavitri Ari Vera Indra Ariadi, Koko Putra Arif Rahman Azlan Adnan Azlan Adnan Benny Hamdi Rhoma Putra Beny Setiawan Brian Priadana Mulrony Chitra Hermawan Dandio Ahmad Fansuri Darmawan, Wan Fikri Debi Setiawan Debi Setiawan, Debi Dede Eldi Kurniawan Delita Zul Dimas Arief Wicaksono Djauhari, Zulfikar Dwiqhee Abdul Ghani Dyna Aulia R Efendi, M. Rizal Dika Eki Syahyudi Elsa Aprilia Andoni Elsyani Eka Putri Elva Nidya Sari Enno Yuniarto Erizal ' Fadrizal Lubis Fansuri, Dandio Ahmad Fernando, Hendra Firzal, Yohannes Florisa Florisa Florisa Florisa Garcya, Muhammad Gala Geovani Meiwanda Hanantatur Adeswastoto Harnedi Maizir Harnedi, Raihan Arditama Hendra Fernando Hendra Jingga, Hendra Heru Nurcahyo Heru Satiadi, Heru Heru Setiadi Ilham Akbar Imam Mustafa Iqbal Maulia Iskandar Romey Sitompul Ismail Rahmadtulloh Ismed Diyanto Ismeddyanto Ismeddyanto Ismeddyanto, Ismeddiyanto Ismediyanto Ismediyanto Joni, Mustika Kamaldi, Alfian Kampati, Tri Budi Kikumoto, Mamoru Maharani Miranda Makahani, Satria Mardiyono Mardiyono Mardiyono Mardiyono Mardiyono, Mardiyono Maya Rumiati MG, Intan Monica Monica, Tiara Monita Olivia Mustika Joni Nila Kamelia Nopember Toni Nopember Toni, Nopember Poppy Nurmayanti Puri Awanda Cantikawati Putra, Azlansyah Mudahir Putri, Ade Septiani Rahmadi Rahmadi Rahmadi Rahmadi Rahmiasari Rahmiasari Raihan Arditama Harnedi Raja Parulian Purba, Raja Parulian Rama Dwi Aryandi Ramalia Noratama Putri Randhi Saily Rendy Wijaya Revo Sedrian Putra Rexi Putra Rian Fajri Ramadanas Ricky Andriano Ridwan Ridwan Ridwan Ridwan Rizki Zulapriansyah Rofika Ratna Ardyansah Roma Dearni RR. Ella Evrita Hestiandari Rumiati, Maya Satria Makahani Sedrian Putra, Revo Simamora, Idris David Fernando Siregar, Andi Saputra Soewignjo Agus Nugroho Solly Aryza Sondra Raharja Sri Agustin Sri Agustin Sri Agustin Sri Fatma Reza Sri Fatma Reza, Sri Fatma Sri Indarti Subagiono, Yon Syahnandito Syahyudi, Eki Syamsul Fikri Syauqi, Muhammad Tauladan, Muhammad Wafiq Tia Aurelia Tiara Monica Vindi Trisatria Vindy Salim Vomania, Vomania Wahyu Rahmadhan, Wahyu Wicaksono, Adhithiya Widianto, Devit Yenita Roza Yessi Olivia Yon Subagiono Yosi Alwinda Zulfikar Djauhari Zulfikar Djauhari Zulfikar Djauhari Zulfikar Djauhari Zulkarnain Zulkarnain Zunwanis Zunwanis