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All Journal Jurnal Teknologi OPSI JURNAL PASTI (PENELITIAN DAN APLIKASI SISTEM DAN TEKNIK INDUSTRI) JISI UMJ (Jurnal Integrasi Sistem Industri UMJ) Journal Industrial Servicess Jurnal Ilmiah Teknik Industri JRSI (Jurnal Rekayasa Sistem dan Industri) Jurnal INTECH Teknik Industri Universitas Serang Raya ComTech: Computer, Mathematics and Engineering Applications IJIES (International Journal of Innovation in Enterprise System) eProceedings of Engineering
Judi Alhilman, Judi
Program Studi Teknik Industri, Fakultas Rekayasa Industri, Telkom University
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Transportation

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Performance Assessment Based on Reliability of Weaving M251 Machine Using Reliability, Availability & Maintainability (RAM) and Cost of Unreliability (COUR) Methods (Case Study at PT Buana Intan Gemilang) Devi Julietta Nainggolan; Judi Alhilman; Nurdinintya Athari Supratman
International Journal of Innovation in Enterprise System Vol 1 No 01 (2017): International Journal of Innovation in Enterprise System
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijies.v1i01.5

Abstract

The textile industry is one of industries that has an important role in the national economy. PT Buana Intan Gemilang (BIG) is one of textile industry in Indonesia which uses Weaving machine to produce motif and sajadah fabrics. The purpose of this research is to analyze the reliability of Weaving M251 machine that has the most damage in 2014. To avoid losses due to machine damage, the reliability, availability and maintainability of the machine need to be improved by using Reliability, Availability & Maintainability (RAM) Analysis method. In addition, the total cost caused by RAM problems can be calculated by using Cost of Unreliability (COUR) method. Based on the evaluation using Reliability Block Diagram (RBD) modeling, it is found that the critical subsystem reliability = 44.36% for 144 working hours and the total repair time that the critical subsystem needs to perform in acceptable operational condition , at least in 1 to 70 hours. There are two different forms of availability that have been calculated, therefore inherent availability = 95,546% which is used as leading indicator, and operational availability = 85,572% which used as lagging indicator. as it is compared, lagging indicator does not meet the performance of leading indicator. The total of unreliability cost when the machine is in active repair time = 39,580,689.02 IDR and within downtime = 135,588,452.13 IDR. Keywords—Cost of Unreliability (COUR), Lagging Indicator, Leading Indicator, Reliability, Availability & Maintainability (RAM) Analysis.
Performance Evaluation on Printing Machine Goss Universal Using Reliability Availability Maintainability (RAM) Analysis and Overall Equipment Effectiveness (OEE) Muhammad Tamami Dwi Saputra; Judi Alhilman; Nurdinintya Athari
International Journal of Innovation in Enterprise System Vol 1 No 01 (2017): International Journal of Innovation in Enterprise System
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijies.v1i01.10

Abstract

The development of science and technology that has been developed more rapidly at this time, along with the increasing need for information itself. By producing a newspaper every day then the states forced PT Pikiran Rakyat to further improve the smoothness, the effectiveness and efficiency of the printing. One way to measure the performance of machines in general by using OEE and to minimize the possibility of losses to be borne by the company is improving the Reliability, Availability and Maintainability (RAM). By using the data in the form of MTTF (Main Time to Failure) and MTTR (Main Time To Repair) of each subsystem of the printing press. Based on calculations using the method of Overall Equipment Effectiveness, by performing calculations based on three main parameters with a study for eight months or 5760 hours, show that the value of the Availability of 75%, the value of the Performance of 97%, and the value of Quality by 98%, then the system has OEE values of 71.60%. The system has a reliability score of 10.59% at 70 hours based on the analytical approach. Maintainability calculations using modeling reliability block diagram, it is found that the entire unit in the system has a chance to settle down a minimum of 12 hours to be able to function again with a probability of 100% to reach its original state. During the eight-month study, Inherent Availability of the system is 99.52% based on analytical approach and Operational Availability of the system is 73.91%. Keywords—Reliability, Availability, Maintainability, OEE, MTTF, MTTR
Proposed Policy Preventive Maintenance Machine Moriseiki NH 4000 DCG Method of Reliability Center Maintenance (RCM) And Risk Based Maintenance (RBM) Case Study PT Pudak Scientific Fachri Husaini; Judi Alhilman; Nurdinintya Athari
International Journal of Innovation in Enterprise System Vol 2 No 02 (2018): International Journal of Innovation in Enterprise System
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijies.v2i02.20

Abstract

PT Pudak Scientific is a company engaged in the manufacture of aircraft parts industry. Meeting the precise and timely demand of aerospace parts from customers becomes a major corporate responsibility. However, Loss Revenue often occurs due to engine breakdown. So that cause because the production target is not achieved, the product reject, and the delay of delivery. One of the machines that often experience breakdown is Mori seiki NH4000 DCG. Mori seiki NH4000 DCG is the finishing machine for Blank fork End product. The demand for this part is quite large, making it a tough task for the Mori Seiki NH4000 DCG machine. But because the breakdown of the machine is high enough to cause production targets every month are often not met. In addition, Maintenance activities that have not noticed the characteristics of engine damage, as well as the distribution of historical data of the machine causing less effective and efficient actions resulted in substantial Maintenance costs. Based on the results of risk analysis of Mori Seiki NH4000 DCG engine damage, in terms of performance loss system caused by a large enough that is 3.773% of machine production capacity per year. This figure exceeds the risk acceptance criteria by the company that is 2%. Therefore it is necessary to find the appropriate Maintenance policy for the Mori Seiki NH4000 DCG machine. The approach is to use Reliability Centeres Maintenance and Risk Based Maintenance. Based on the above two approaches obtained the appropriate interval time so that the Maintenance activities more effective and can improve the efficiency of treatment by reducing the cost of care previously Rp167.506.286, - per year, to Rp 96.147.061, - per year. With the policy is expected to reduce engine breakdown and performance loss caused. So the number of risks that arise for the future are within the criteria of acceptance set by the company. Keywords: Preventive Maintenance, Reliability centered Maintenance, risk based Maintenance, Performance loss
Maintenance System of Universal Goss Printing Machine based on failure data using RCM and RCS method Judi Alhilman; Fransiskus Tatas Dwi Atmaji; Valinouski Aulia
International Journal of Innovation in Enterprise System Vol 2 No 02 (2018): International Journal of Innovation in Enterprise System
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijies.v2i02.26

Abstract

Over time a machine will get experience a decrease in reliability, causing the engine to be damaged at the time of operation, thus disrupting the production line. To maintain a machine remains reliable then a good maintenance system is required. In this research, we will use Reliability Centered Maintenance (RCM) and Reliability Centered Spare (RCS) analysis on the critical system of Goss Universal printing machine based on engine failure data. The result of RCM analysis obtained the optimal preventive maintenance schedule and the type of treatment, while based on the RCS analysis obtained spare part needs following the maintenance schedule. With the result of this analysis, is expected where the machine will keep good and will continue to operate without a sudden breakdown under the production schedule's need. Based on RCM analysis for each critical subsystem obtained interval preventive maintenance for transfer roller 127.60 hours, Ink fountain roller 24.45 hours, ink form roller 29.23 hours respectively, and the wash-up device is no scheduled maintenance. For spare parts inventory strategies the result using RCS method are: transfer roller104 units, ink fountain roller requires 32 units, ink form roller 36 units and are holding spare policy required, and a wash-up device no holding spare parts. Keywords— Failure data, Maintenance System, RCM, RCS
Penilaian Risiko, Estimasi Interval Inspeksi, dan Metode Inspeksi pada Hydrocarbon Piping Menggunakan Metode Risk Based Inspection (RBI) Putri Ratnasari; Judi Alhilman; Aji Pamoso
Jurnal INTECH Teknik Industri Universitas Serang Raya Vol. 5 No. 2 (2019)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (617.38 KB) | DOI: 10.30656/intech.v5i2.1575

Abstract

Piping adalah sistem perpipaan yang digunakan untuk mengalirkan fluida dari satu proses ke proses lainnya. Jenis piping yang diteliti adalah Hydrocarbon Piping yaitu sebagai penyalur fluida antara reaktor, regenerator, dan main column pada proses catalytic cracking. Fluida yang mengalir pada Hydrocarbon Piping dapat menyebabkan korosi dan mengakibatkan terjadinya penipisan bahkan kebocoran pipa sehingga menimbulkan dampak yang buruk, baik pada lingkungan, keamanan, keselamatan, dan kerugian biaya. Peralatan bertekanan seperti piping memerlukan program inspeksi agar dapat bekerja dengan baik. Risk Based Inspection (RBI) adalah suatu metode untuk menentukan rencana program inspeksi berdasarkan risiko kegagalan peralatan. Metode RBI yang digunakan adalah RBI Semi-Kuantitatif dengan standar API 581. Tujuan penelitian ini adalah untuk mengetahui tingkatan risiko, estimasi interval inspeksi, dan penentuan metode inspeksi pada piping. Dari hasil penelitian menunjukkan bahwa Hydrocarbon Piping terdiri dari 16% pipa dengan tingkat risiko low dan 84% pipa dengan tingkat risiko medium. Estimasi interval inspeksi dianjurkan tidak melebihi setengah remaining life pipa. Dengan mekanisme kerusakan thinning, metode inspeksi yang dianjurkan ialah profile radiography, UT scans, dan visual examination.
Perancangan Kebijakan Maintenance Pada Mesin Komori Ls440 Dengan Menggunakan Metode Life Cycle Cost (lcc) Dan Overall Equipment Effectiveness (oee) (studi Kasus : Pt Abc) Chairun Nisa; Judi Alhilman; Nurdinintya Athari
eProceedings of Engineering Vol 3, No 2 (2016): Agustus, 2016
Publisher : eProceedings of Engineering

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Abstract

PT ABC merupakan perusahaan industri percetakan di Kota Bandung. Aktivitas produksi pada perusahaan menuntut mesin beroperasi dengan baik. Mesin Komori LS440 adalah mesin cetak sheet yang memiliki downtime tertinggi dengan besarnya jumlah produksi yang diterima sehingga mesin tidak bekerja optimal. Untuk mengatasi hal tersebut dilakukan kegiatan maintenance pada mesin Komori. Metode yang digunakan yaitu metode Life Cycle Cost (LCC) untuk mengetahui jumlah maintenance crew dan retirement age yang optimal dari sebuah mesin. Metode lain yang digunakan yaitu metode Overall Equipment Effectiveness (OEE) untuk mengetahui kinerja dan tingkat efektifitas mesin. Selanjutnya dilakukan penelitian terhadap faktor six big losses untuk mengetahui faktor apa yang menyebabkan nilai OEE rendah. Berdasarkan metode Life Cycle Cost, nilai total LCC terendah sebesar Rp 3.631.528.201 dengan umur optimal mesin sebelas tahun dan jumlah maintenance crew sebanyak tiga orang dalam satu shift. Untuk perhitungan nilai OEE pada mesin Komori sebesar 85,91%. Nilai tersebut dalam standar yang ditetapkan oleh Japanese Institute of Plant Maintenance (JIPM) sebesar 85%. Perusahaan dapat mengantisipasi dari hasil six big losses bahwa faktor yang paling berpengaruh terhadap penurunan efektifitas mesin adalah faktor idling and minor stoppages sebesar 66,45% dari total losses. Kata Kunci – Life Cycle Cost (LCC), Overall Equipment Effectiveness (OEE), Six Big Losses
Analisis Perancangan Kebijakan Maintenance Pada Ekskavator Kobelco Sk200 Dengan Menggunakan Metode Life Cycle Cost (lcc) Dan Overall Equipment Effectiveness (oee) Di Po Rajawali Project Ahmad F Abdillah; Judi Alhilman; NURDININTYA ATHARI SUPRATMAN
eProceedings of Engineering Vol 5, No 2 (2018): Agustus 2018
Publisher : eProceedings of Engineering

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Abstract

ABSTRAK Rajawali Project merupakan perusahaan penyewaan alat berat yang terletak di Baleendah, Kabupaten Bandung yang menyewakan pelbagai macam alat berat seperti ekskavator, buldoser, truk, dan lain sebagainya. Kobelco SK200 merupakan salah satu ekskavator yang dimiliki oleh Rajawali Project yang mempunyai frekuensi kerusakan paling tinggi dibandingkan dengan alat berat lainnya. Untuk mengatasi hal tersebut, metode yang dapat digunakan adalah metode Life Cycle Cost (LCC) dan Overall Equipment Effectiveness (OEE). Berdasarkan metode LCC, diperoleh total nilai LCC paling minimum sebesar Rp.250.877.275 dengan umur ekskavator optimal selama 17 tahun dan jumlah maintenance crew optimal sebanyak dua orang. Berdasarkan metode OEE, diperoleh nilai OEE sebesar 85.05% serta faktor losses terbesar yaitu faktor defect losses dan reduced speed dari six big losses sebesar masing-masing 27.3% dari total losses. Kata Kunci – Life Cycle Cost, Overall Equipment Effectiveness, Six Big Losses ABSTRACT Rajawali Project is a heavy equipment rental company located in Baleendah, Kabupaten Bandung which rents a various kinds of heavy equipment such as excavators, bulldozers, trucks, etc. Kobelco SK200 excavator is one of the excavators owned by Rajawali Project which has the highest failure rate compared to the other heavy equipment. To overcome this, two methods are needed. They are Life Cycle Cost (LCC) and Overall Equipment Effectiveness (OEE). Based on the LCC method, the lowest LCC total amount is Rp.250.877.275 with the optimal retirement age life for 17 years and the optimum maintenance crew of two people. Based on the OEE method, the OEE value is 85.05%, and the biggest losses factor was defect losses and reduced speed factor from six big losses, which is 27.3% each from the total losses. Keywords – Life Cycle Cost, Overall Equipment Effectiveness, Six Big Losses
Perancangan Usulan Preventive Maintenance Pada Mesin Komori Ls440 Dengan Menggunakan Metode Reliability Centered Maintenance (rcm Ii) Dan Risk Based Maintenance (rbm) Di Pt Abc Destina Surya Dhamayanti; Judi Alhilman; Nurdinintya Athari
eProceedings of Engineering Vol 3, No 2 (2016): Agustus, 2016
Publisher : eProceedings of Engineering

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Abstract

PT ABC merupakan perusahaan cetak dalam skala nasional. Produk yang dihasilkan oleh perusahaan merupakan buku ajar, majalah, surat kabar, dan lain sebagainya. Kegiatan maintenance yang ada PT ABC terbagi menajadi dua yaitu preventive maintenance setiap senin dan kamis serta kegiatan corrective maintenance yang dilakukan jika mesin mengalami kegagalan fungsi. Kegagalan fungsi pada mesin Komori masih cukup tinggi. Oleh karena itu diperlukan kegiatan pecegahaan untuk meningkatkan reliabilitas mesin. Metode yang dilakukan yaitu dengan menggunakan Reliability Centered Maintenance yaitu dengan menganalisis failure yang terjadi dengan menggunakan ananlisis Failure Mode and Effect Analysis dan Decision Worksheet. Hasil dari analisis ini merupakan preventive task masing-masing komponen. Sedangkan untuk menganalisis risiko yang diakibatkan jika mesin mengalami gagal fungsi, yaitu dengan metode Risk Based Maintenance. Setelah dilakukan perhitungan menggunakan metode diperoleh nilai risiko yang ditanggung perusahaan ketika mesin mengalami failure, yaitu sebesar Rp 965.904.899,36. Berdasarkan hasil pengolahan data pada subistem kritis maka diperoleh kesimpulan bahwa enam komponen dilakukan dengan task scheduled on condition, tiga komponen dengan task scheduled restoration, dan enam komponen dengan task scheduled discard. Sedangkan untuk interval waktu dalam pengerjaan preventive maintenance pada komponen tersebut disesuaikan dengan task yang diperoleh. Setelah mendapatkan interval waktu perawatan, kemudian ditentukan biaya perawatan usulan yang dikeluarkan perusahaan, yaitu sebesar Rp 971.567.519,69. Kata kunci: Reliability Cencetered Maintenance, Risk Based Maintenance, Preventive Maintenance, Corrective Maintenance
Analisis Performansi Mesin Menggunakan Metode Reliability, Availability, Maintainability (ram) Analysis Dan Penentuan Umur Mesin Serta Maintenance Set Crew Optimal Menggunakan Life Cycle Cost (lcc) Analysis Pada Mesin Dumping Line 1 Di Pt Xyz Mohammad Badar; Endang Budiasih; Judi Alhilman
eProceedings of Engineering Vol 5, No 2 (2018): Agustus 2018
Publisher : eProceedings of Engineering

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Abstract

Abstrak PT XYZ merupakan salah satu industri manufaktur yang menghasilkan Accu Battery terbesar di Indonesia. Berdasarkan data dari GAIKINDO sebesar 55% dari penjualan mobil di Indonesia pada tahun 2016 hingga 2017 menggunakan accu battery yang diproduksi oleh PT XYZ. Dalam mengoperasikan mesin dan peralatan, PT XYZ memerlukan sistem perawatan mesin yang baik serta optimal terutama pada mesin Dumping di line 1 yang memiliki frekuensi downtime tertinggi pada tahun 2016 hingga 2017 yakni sebesar 292 kerusakan. Oleh karena itu, perlu adanya analisis Reliability, Availability, Maintainability (RAM) dengan pemodelan Reliability Block Diagram (RBD) serta analisis Life Cycle Cost (LCC) untuk mengetahui performansi mesin Dumping Line 1. Berdasarkan hasil pengukuran performansi dengan menggunakan metode RAM, diperoleh nilai reliability system sebesar 61,94% pada t = 112 jam dan untuk mencapai nilai maintainability 100% membutuhkan waktu minimal selama empat jam dengan nilai inherent availability sebesar 99,81% dan operational availability sebesar 99,72%. Dari hasil evaluasi yang telah dilakukan berdasarkan kebijakan perusahaan dan Key Performance Indicator IVARA sebagai parameter keberhasilan, indikator availability telah mencapai target indikator sebesar 95%. Dari hasil perhitungan dengan metode LCC didapatkan nilai Life Cycle Cost terkecil sebesar Rp646.175.379,30,- dengan umur optimal mesin selama tujuh tahun dan jumlah maintenance crew sebanyak satu orang. Kata kunci: Reliability, Availability, Maintainability, Reliability Block Diagram, Life Cycle Cost, Key Performance Indicator. Abstract PT XYZ is one of the largest manufacturing industries that produces the largest Accu Battery in Indonesia. Based on data from GAIKINDO 55% of car sales in Indonesia from 2016 to 2017 using batteries manufactured by PT XYZ. In operating the machinery and equipment, PT XYZ requires a good and optimal machine maintenance system. Especially on the Dumping machine in line 1 which has the highest downtime frequency in 2016 until 2017 which amounted to 292 damage. Therefore it is necessary to analyze Reliability, Availability, Maintainability (RAM) with Reliability Block Diagram (RBD) modeling and Life Cycle Cost (LCC) analysis to know Dumping Line 1 machine performance. Based on performance measurement using RAM method, the value of reliability system is 61.94% at t = 112 hours and to achieve 100% maintainability it takes for 4 hours. Where the inherent availability value of 99.81% and operational availability of 99.72%. From the results of evaluations that have been done based on company policy and Key Performance Indicator IVARA as the parameters of success, indicator availability has reached the indicator target of 95%. From the calculation with LCC method, obtained the smallest Life Cycle Cost value of Rp646.175.379,30,- with the optimal age of the machine for seven years and the number of maintenance crew as much as one person. Keywords: Reliability, Availability, Maintainability, Reliability Block Diagram, Life Cycle Cost, Key Performance Indicator.
Usulan Kebijakan Perawatan Mesin Caulking Pada Lini Produksi 6 Menggunakan Metode Cost Of Unreliability (Cour) Dan Risk Based Maintenance (Rbm) (Studi Kasus: Pt Dns) Revy Desfriansyah; Endang Budiasih; Judi Alhilman
eProceedings of Engineering Vol 5, No 1 (2018): April 2018
Publisher : eProceedings of Engineering

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Abstract

Abstrak PT DNS adalah salah satu perusahaan pembuat komponen otomotif. Salah satu komponen yang dibuat oleh PT DNS adalah Spark plug atau biasa disebut busi. Spark plug adalah sebuah media yang digunakan untuk proses pembakaran bahan bakar pada mesin bermotor. Tanpanya kendaraan bermotor dipastikan tidak bisa berfungsi. Agar dapat bersaing ketat dengan perusahaan lainnya PT DNS harus meningkatkan efektivitas dan efisiensi kegiatan produksinya agar demand yang harus dipenuhi setiap harinya tercapai dengan baik dengan menggunakan beberapa mesin produksi, perusahaan harus selalu mengkontrol dan mempersiapkan kesiapan mesin-mesinnya dengan melakukan kegiatan preventive maintenance dan corrective maintenance. Salah satu mesin yang sangat penting dan harus banyak dikontrol adalah mesin caulking karena kegiatan produksi harus melalui mesin ini agar busi tidak mengalami kebocoran. Lalu salah satu cara untuk mengetahui konsekuensi dan risiko yang dihasilkan dari kerusakan mesin caulking yaitu dengan menggunakan metode RBM dan untuk menentukan berapa besar biaya yang dihasilkan akibat ketidakhandalan sistem diperlukan metode COUR. Berdasarkan perhitungan COUR didapatkan biaya yang disebabkan oleh ketidakhandalan sistem sebesar Rp. 2.612.857.012 berdasarkan active repair time dan Rp. 2.906.982.097 berdasarkan pada downtime. Dan dari perhitungan RBM didapatkan nilai konsekuensi dan risiko sebesar Rp. 788.679.691 dengan persentase sebesar 2,270%. Risiko ini sudah melewati kriteria penerimaan risiko yang sudah ditentukan perusahaan yaitu 1% pada mesin caulking lini ke 6. Kata kunci : Corrective maintenance, Preventive maintenance, COUR, RBM, Spark plug Abstract PT DNS is one of the makers of automotive components. One of the components made by PT DNS is Spark plug. Spark plug is a tool for the combustion of fuel in a motor engine. Without which the motor vehicle was ensured could not function. In order to compete with other companies PT DNS should increase the affectiveness and efficiency of activities of its production so that demand to be met every day the accomplished well with using some of the production machine, the company must always control the readiness of its engines and prepare to do the activities of preventive maintenance and corrective maintenance. One of the machines that are very important and should be a lot of controlled is caulking machine because production has to go through this machine so that the plugs do not leak. Than one of the ways to know the consequences and risk resulting from damage to the caulking machine by using RBM method and to rate how much the costs generated by the issue of unreliability the system required a method of COUR From the results of the data processing is carried out, for the calculation of the Cost of Unreliability is obtained the cost caused by unreliability Rp. 2.612.857.012 system based on active repair time and Rp. 2.906.982.097 based on downtime. Whereas the calculation of Risk Based Maintenance brings about consequences and risk value of Rp. 788.679.691 with a percentage of 2,270%. This risk had passed the risk acceptance criteria already determined the company is 1% on the 6th line of Caulking machine. Keywords : Corrective maintenance, Preventive maintenance, COUR, RBM, Spark plug
Co-Authors Ade Rizka Eliyus Ade Rizka Eliyus, Ade Rizka Afiva, Wirda Hamro Agus Alex Yanuar Ahmad F Abdillah Ahmad Musnansyah Aji Pamoso Amanah Ansarullah Amelia Kurniawati Annisa Azmi Annisa Prias Maysarah Anselvi Mega Lestari Ariqa Radhwa Aulia, Valinouski Azmi, Moh Daffa Al Azylia Putri Denia Bewana, Zanuar Galang Budi Santosa Chairun Nisa Christanto Triwibisono Damanhuri Nurul Huda Destina Surya Dhamayanti Destina Surya Dhamayanti Destina Surya Dhamayanti, Destina Surya Devi Julietta Nainggolan Dhofar Shafarrizqullah Separman Dian Hayyu Rana Muna Dian Rahmania Ditya Dwi Astuti Dzakir, Daffa Mukhtar Endang Budiasih Fachri Husaini Fachri Husaini Fakhrul Razi Frima Fathnin, Nisrina Fatwa Anggayana Basanta Fitria, Tariza Fransiskus Tatas Dwi Atmaji Hario Ardi Nugroho Hidayat, Diansah I Gede Oka Mahendra Ida Bagus Yoga Samkhyaita Ihsan Mahdi Wiragunanto IKA PRAESITA IKA PRAESITA, IKA Indah Kurniawati Indira Kusuma Wardani Izzaqi, Pebrina Donna Jonathan, Fernaldi Lestari Atika Putri Litasari Widyastuti, Litasari Liza Nafiah Maulidina Liza Nafiah Maulidina Made Shanti Sarashvati Made Shanti Sarashvati Maulidina, Liza Nafiah Mohamad Rizky Utomo Mohammad Badar Mohammad Tajudin Mohammad Tajudin Muhamad Rafif Arrahman Muhammad Faris Solihin Muhammad Hamdan Muhammad Ilham Maulana Muhammad Ilham Z Muhammad Rifki Fadil Muhammad Siddiq Muhammad Tamami Dwi Saputra Muhammad Tamami Dwi Saputra Muthi Maisa Zulfatri Nadia Ulfa Nadia Ulfa Nainggolan, Devi Julietta Naufal Muhammad Iqbal Nisrina Fathnin Nopendri Nopendri Noviyanti Permata Sari Nuha, Hilyatun Nurdinintya Athari Supratman Nurrahman, Ferro Arief Nurul Sholihah Ekowati Oktaria Tyas Pambayun Pebrina Donna Izzaqi Pradipta, Sandy Argya Prima Hutama Putra Abdi Putri Ratnasari Putro, Budi Laksono Putu Eka Dewi Karunia Wati Rahmat Mulyana Rd. Rohmat Saedudin Reano Anggradwika Revy Desfriansyah Rosi Pratiwi Samlistiya, Fahmi Rizal Saputra, Muhammad Tamami Dwi Sarashvati, Made Shanti Sari Wulandari Selvi Marcellia Shabrina Fauzani Shintya Asih Angelita Tampubolon Sutrisno Sutrisno Sutrisno Sutrisno Syahda Bintarum Taufiq Ismail, M Terrin Eliska Ully Tri Kirana Ully Tri Kirana Ully Tri Kirana, Ully Tri Valinouski Aulia Vanita Zahra Zahirah Warih Puspitasari Wirda Hamro Afiva Wirda Hamro Afiva Yudha Permana Yuli Adam Prasetyo Zhafran Ega