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All Journal TEKMAPRO Journal of Industrial Engineering and Management Jurnal Ilmiah Teknik Industri OPERATION EXCELLENCE: Journal of Applied Industrial Engineering PROSIDING SEMINAR NASIONAL CENDEKIAWAN Journal of Economic, Bussines and Accounting (COSTING) Jurnal ULTIMATICS Krea-TIF: Jurnal Teknik Informatika Jurnal Ilmiah Teknik Industri Abdimas Universal Jurnal Bakti Masyarakat Indonesia JUARA: JURNAL WAHANA ABDIMAS SEJAHTERA Jurnal AKAL: Abdimas dan Kearifan Lokal JURNAL TEKNIK INDUSTRI JURNAL ABDI MASYARAKAT INDONESIA (JAMIN) Logistic and Operation Management Research Jurnal Pengabdian Masyarakat dan aplikasi Teknologi Jurnal Pengabdian Masyarakat IIJSE (Journal of Environmental Sustainability Management)

Iveline Anne Marie

Universitas Trisakti

Author-ID : 290437

Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences Transportation Other

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AUTONOMOUS MAINTENANCE PADA PLANT II PT. INGRESS MALINDO VENTURES Erna Regina Supriatna; Iveline Anne Marie; Amal Witonohadi
JURNAL TEKNIK INDUSTRI Vol. 5 No. 3 (2015): Volume 5 No 3 Novemberi 2015
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Persaingan diantara perusahaan manufaktur penghasil spare part otomotif semakinmeningkat. Produktifitas dalam pemanfaatan mesin menjadi salah satu target untuk mendukungterpenuhinya kebutuhan dan kepuasan konsumen. Pendekatan TPM mendorong perusahaan untukmenjadikan kegiatan perawatan menjadi salah satu fokus sebagai bagian yang penting dan vital darisebuah bisnis atau operasi manufaktur. Perawatan tidak lagi dipandang sebagai aktivitas yang nonprofit.Waktu untuk perawatan telah dimasukkan kedalam jadwal produksi sebagai bagian darijadwal produksi, dan bahkan dalam beberapa kasus, perawatan menjadi bagian integral dari sebuahproses manufaktur. Salah satu pilar dalam tahapan TPM adalah mengembangkan programAutonomous Maintenance (AM).PT. Ingress Malindo Ventures atau PT. IMV merupakan perusahaan manufaktur yangmemproduksi komponen otomotif berupa weather strip outer/inner moulding dan door sash yangdibutuhkan untuk kebutuhan lokal dalam negeri. Untuk kelancaran produksi, perusahaan sangatbergantung kepada ketersediaan mesin karena apabila mesin mengalami kerusakan maka kegiatanproduksi akan terhenti sehingga dapat mengakibatkan penambahan waktu penyelesaian sertaberakibat tidak tercapainya target produksi. Penelitian ini bertujuan untuk mendapatkan usulanrancangan autonomous maintenance untuk meningkatkan performansi perawatan mesin pada PT.Ingress Malindo Ventures.Berdasarkan hasil pengumpulan data perawatan mesin roll forming, dilakukan pengolahandata, analisis dan perancangan sesuai dengan tahapan autonomous maintenance. Usulanautonomous maintenance menghasilkan contoh board step untuk pengevaluasian setiap step sertaprosedur untuk mengembangkan pendidikan dan pelatihan inspeksi, SOP, check sheet dan one pointlesson pada mesin dan komponen yang memiliki nilai downtime diatas rata-rata. Berdasarkanimplementasi, diketahui bahwa nilai OEE pada mesin roll forming diproyeksikan meningkat menjadi79,316%.

RANCANG BANGUN MODEL PRODUCTION PRODUCTIVITY IMPROVEMENT DENGAN MENGGUNAKAN LEAN TPM DAN SISTEM DINAMIS Intan Emeralda; Dorina Hetharia; Iveline Anne Marie
JURNAL TEKNIK INDUSTRI Vol. 6 No. 1 (2016): Volume 6 No 1 Maret 2016
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Increasing productivity and quality is one of the key to make company stay competitive. LeanTPM approach is one of the way to increase productivity. Problem that usually occur at PT. XYZ is thedown time from each line of process production that causing actual production did not reach the target.It is dominantly cause by material shortage, process defect, and machine breakdown. This purpose ofstudy is to develop a production productivity improvement model with Lean TPM approach by usingdynamic system. This study is started by measuring the Loss time value, OEE (Overall EquipmentEffectiveness) value, and making VSM (Value Stream Mapping) to see the flow of material and waste.This is done to measure the actual condition. With this measurement, we can track which one cause thehighest % loss. After that, using the FTA (Fault Tree Analysis) to find the root cause of downtime andwaste produced. It needed to construct the existing dynamic model because the problem are complexsand dynamic. In that model, analytical system is done to indentified and imitated the characteristic ofthose complex systems and also to make the alternative troubleshooting repair solution.

LEAN SUPPLY CHAIN UNTUK MENINGKATKAN EFISIENSI SISTEM MANUFAKTUR PADA PT. XYZ Iveline Anne Marie; Dedy Sugiarto; Dara Mustika
JURNAL TEKNIK INDUSTRI Vol. 7 No. 2 (2017): Volume 7 Nomor 2 Juli 2017
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

There were wastes in the supply chain flow of PT. XYZ which leads to long lead time in the delivery of customer orders. The result is that the company's planned delivery targets are not fulfilled. The objective of this research is to identify waste and cause of waste and to propose improvement to eliminate waste in PT XYZ supply chain so as to reduce lead time and achieve delivery target as an effort to improve company performance with Lean Supply Chain approach. In this research we use VALSAT to minimize waste and non value added activities in supply chain flow. Based on Value Stream Mapping and analysis of waste we proposed improvements that is application of acceptance sampling method on raw material inspection, application of p control chart on assembling process and store warehouse, 2 days battery storage time limit with kanban card proposed and also change of process sequence of lead part casting. Based on the projection, we got the decrease of manufacturing lead time and the increase of process cycle efficiency from 51.47% to 73.69%.

Perancangan Sistem Informasi Perencanaan dan Pengendalian Persediaan Bahan Baku di PT. X Pudji Astuti; Mohammad Ali Wafa; Iveline Anne Marie
JURNAL TEKNIK INDUSTRI Vol. 8 No. 3 (2018): Volume 8 No 3 November 2018
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

PT. X is a company engaged in the production of paper pallet packaging for exports. In the production process, PT. X implements Make-To-Order production strategies which would begin to manufacture if the company has received orders from customers. Recently the problems facing by company are the uncertainty lead-time delivery and uncertainty of demand from customer. Both of these issues resulted the ordering of raw materials were unplanned and further caused in delayed delivery of finished products to customers. Furthermore the use of conventional display board currently leads to human error either recording the customer orders or calculating the availability of raw materials.The objective of this research, to solve the problem, proposed decision support system or DSS which will helps the company to schedule procurement of raw material and helps to control raw material availability. Stage of designing the DSS is using the waterfall system development so that the process is done by sequentially developed for each phase of development.The system development process is starting from the system initiation, analysis, design system and implementation. To analyze process, used object-oriented approach which point in the making of models to help analyze and understanding the problem. Results from the study showed that the problems faced by company solved by implementing the safety stock and the procurement scheduling which integrates with early warning sub model, Material Requirement Planning (MRP) sub model and inventory sub model, into a web-based decision support system that can be accessed anywhere, anytime and accurately by authorized user. Safety stocks are used as a backup supply which will be used when the uncertainties of demand occurred. MRP sub model schedules the procurement and calculate raw material requirements based on Bill of Material. Inventory sub model with early warnings system will provide a reminder to the user if the amounts of raw materials available have reached a certain condition so that users can perform further actions to maintain the availability of raw materials.

Proyeksi Permintaan Dan Penentuan Ukuran Batch Optimum Produk Pada Agroindustri (Studi Kasus di Industri Jamu) Iveline Anne Marie
JURNAL TEKNIK INDUSTRI Vol. 1 No. 1 (2011): Volume 1 No 1 Maret 2011
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

The era of globalization requires the industry to create competitive advantage. One of the factors that affect competitive advantage, which tend to be controlled is the internal factors of the company / industry, the factors concerning the performance of inputs (resources used to produce the output), the performance of the process and the performance of output (products / outputs of the process). In order for a company / industry excels in the competition, it takes a model of demand forecasting and aggregate production planning model to help companies / industry in planning its production activities. For the purpose of this study was to determine the projected demand for products and to know the optimum batch size for each item of products in order to meet the needs of the operational planning of production.With the acquisition of the projected demand for products and optimum batch sizes for each product item, the next company can perform various calculations for the needs of enterprise production planning so as to improve the performance of the process input or output of production, and excel in the competitive industry.

PENENTUAN JUMLAH PRODUKSI MENGGUNAKAN MODEL FUZZY MULTI OBJECTIVE LINEAR PROGRAMMING PADA INDUSTRI PANGAN (Studi Kasus Pada Industri Roti PT NIC) Iveline Anne Marie; Eriyatno Eriyatno; Yandra Arkeman; Dadan Umar Daihani
JURNAL TEKNIK INDUSTRI Vol. 2 No. 1 (2012): Volume 2 No 1 Maret 2012
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Production Planning and Inventory Control (PPIC) activities in the food industry requires a reliable decision model to support the effectiveness and efficiency of PPIC function. Master Production Scheduling / MPS is one of the PPIC decision model that aims to get the number of items that must be produced by the company to meet consumer demand based on its production capacity. This research had been done in the food industry with a case study on PT NIC bread industry, using Fuzzy Multi Objective Linear Programming Model as a decision model to determine the amount of production.This model is an optimization model that was developed by utilizing the modified S-curve membership function for Fuzzy Linear Programming problems with the aim of minimizing costs and maximizing production utilization. This model is reliable enough to improve the functioning of PPIC in the food industry.

Perancangan Model Lean Manufacturing untuk Meningkatkan Key Performance Indicators Quality Assurance pada Perusahaan Penghasil Produk Kemasan Plastik Rosi Theresia; Iveline Anne Marie; Nora Azm
JURNAL TEKNIK INDUSTRI Vol. 10 No. 1 (2020): VOLUME 10 NO 1 MARET 2020
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Intisari— Menghadapi persaingan industri yang semakin ketat, perusahaan penghasil produk kemasan plastik berusaha meningkatkan daya saingnya dengan meningkatkan performansinya. Performansi perusahaan penghasil produk kemasan plastik dalam hal peningkatan value ke customer dapat diukur melalui key performance indicators bagian quality assurance. Pencapaian key performance indicators quality assurance perlu dibuat sebuah model yang tepat untuk meningkatkan key performance indicators quality assurance melalui pendekatan lean manufacturing Penelitian ini bertujuan untuk merancang model lean manufacturing untuk meningkatkan key performance indicators quality assurance. Tahapan awal dimulai dari studi literatur lean manufacturing tools dan survei ke berbagai perusahaan kemasan plastik sehingga diperoleh data yang dibutuhkan dalam rancangan model. Rancangan model harus dilakukan validasi pada perusahaan penghasil produk kemasan plastik. Setiap model memberikan manfaat dan dapat digunakan untuk memecahkan masalah mengenai tidak tercapainya key performance indicators quality assurance. Hasil rancangan model terdiri dari sub model 1 (current key performance indicators quality assurance), sub model 2 (current defect customer complaint), sub model 3 (lean manufacturing tools ) dan sub model 4 (future total complaint, future reject retur, future repeat issue, future resolution time dan future key performance indicators quality assurance). Diharapkan rancangan model lean manufacturing dapat menjadi solusi bagi perusahaan penghasil produk kemasan plastik untuk meningkatkan key performance indicators quality assurance.Abstract— Facing increasingly fierce industry competition, companies that produce plastic packaging products try to improve their competitiveness by increasing their performance. The performance of companies producing plastic packaging products in terms of increasing value to customers can be measured through the key performance indicators of the quality assurance section. Achievement of key performance indicators of quality assurance needs to be made an appropriate model to improve key performance indicators of quality assurance through a lean manufacturing approach. This study aims to design a lean manufacturing model to achieve key performance indicators of quality assurance. The initial stage starts from the study of lean manufacturing tools literature and surveys to various plastic packaging companies in order to obtain the data needed in the design of the model. The design of the model must be validated at the companies producing plastic packaging products. Each model provides benefits and can be used to solve problems regarding not achieving key performance indicators of quality assurance. The results of the model design consist of sub model 1 (current key performance indicators quality assurance), sub model 2 (current defect customer complaints), sub model 3 (lean manufacturing tools) and sub model 4 (future total complaints, future reject returns, future repeat issue, future resolution time and future key performance indicators quality assurance). It is hoped that the design of lean manufacturing models can be a solution for companies producing plastic packaging products to achieve key performance indicators of quality assurance.

Optimasi Persediaan Bahan Baku Berdasarkan Pengali Lagrange serta Rancangan Tata Letak Gudang Menggunakan Metode Shared Storage Iveline Anne Marie; Cindy Claudia; Adianto Adianto
JURNAL TEKNIK INDUSTRI Vol. 10 No. 2 (2020): Volume 10 No 2 Juli 2020
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Intisari— CV ABC merupakan perusahaan yang memproduksi lapisan dalam sepatu. Bahan baku utamanya adalah kain polyester dengan ketebalan beragam (0,5; 0,6; 0,7; 0,8; 1,2; 1,3; 1,5) mm. CV ABC tidak menggunakan metode tertentu dalam pemesanan bahan baku, sehingga mengakibatkan kadang kelebihan serta kadang kekurangan persediaan bahan baku. Pemesanan bahan baku yang dilakukan oleh perusahaan juga tidak teratur sehingga menyebabkan terjadinya penumpukan bahan baku di gudang. Penumpukan di gudang mengakibatkan penempatan bahan baku menjadi tidak teratur dan jumlah stok sulit dihitung. Tujuan penelitian ini untuk menentukan jumlah persediaan yang sesuai dengan kapasitas gudang bahan baku berdasarkan Pengali Langrange serta memperbaiki rancangan tata letak gudang menggunakan metode Shared Storage. Mula-mula dilakukan perkiraan permintaan dengan pendekatan simulasi Monte Carlo. Tahap berikutnya adalah perhitungan lot pemesanan yang ekonomis dengan EOQ, optimasi kuantitas pemesanan dengan model persediaan pengali Lagrange. Hasil perhitungan akan menjadi dasar dalam pengaturan tata letak dengan menggunakan metode shared storage. Berdasarkan hasil optimasi dengan Pengali Lagrange, biaya persediaan dapat diturunkan hingga 34,13%. Selain itu, berdasarkan pengaturan ulang tata letak gudang, kapasitas gudang meningkat hingga 19,4%.Abstract— CV ABC is a company that manufactures layers in shoes. The main raw material is polyester fabric with varying thicknesses (0.5; 0.6; 0.7; 0.8; 1.2; 1.3; 1.5) mm. CV ABC does not use certain methods in ordering raw materials, resulting in sometimes excess and sometimes lack of raw material inventory. The ordering of raw materials made by the company is also irregular, causing a buildup of raw materials in the warehouse. Stacking in warehouses results in irregular placement of raw materials and difficult to calculate the amount of stock. The purpose of this study was to determine the amount of inventory in accordance with the capacity of the warehouse of raw materials based on the Langrange Multiplier and improve the layout design of the warehouse using the Shared Storage method. First the demand estimation is carried out using a Monte Carlo simulation approach. The next step is the calculation of economical order lots with EOQ, optimization of order quantities with the Lagrange multiplier inventory model. The calculation results will be the basis in setting the layout using the shared storage method. Based on the results of optimization with the Lagrange Multiplier, inventory costs can be reduced by 34.13%. In addition, based on the rearrangement of the warehouse layout, warehouse capacity has increased to 19.4%.

Analisis Pemborosan Pada Industri Beton Precast Dengan Pendekatan Lean supply chain Yayang Ade Suprana; Iveline Anne Marie; Nora Azmi
JURNAL TEKNIK INDUSTRI Vol. 10 No. 2 (2020): Volume 10 No 2 Juli 2020
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Intisari—Dengan Persaingan yang cukup ketat dalam dunia industri beton pracetak saat ini tentunya membuat PT.ABC sebagai manufaktur beton pracetak dituntut untuk dapat menghasilkan produk yang memenuhi ekspetasi pelanggan baik dari segi waktu dan kualitas. Untuk mencapai hal tersebut perlu dilakukan analisis pemborosan dengan menggunakan pendekatan Lean supply chain sehingga akan meningkatkan efisiensi sistem manufaktur. Pendekatan ini dilakukan dengan menggambarkan aliran informasi perusahaan melalui tools Value Stream Mapping (VSM). Aktivitas Perusahaan akan di kelompokkan dalam value added, non value added, dan necessary non value added. Dari pemetaan VSM terlihat pemborosan banyak terjadi di aliran rantai pasok. Hal ini terlihat dari Terjadinya keterlambatan kedatangan material utama dari supplier mengakibatkan proses terhenti, Perubahan rencana produksi yang mendadak, Terganggunya penjadwalan produksi yang disebabkan oleh lead time yang panjang. Oleh karena itu, perlu dilakukan upaya yang efektif dan efisien untuk meminimasi pemborosan di aliran rantai pasok agar dapat memenuhi ekspetasi pelanggan. Penelitian ini berhasil merinci besar value added time adalah 2.025 menit, total necessary but non value added time adalah 335 menit sehingga total supply chain lead time adalah 2.360 menit.Abstract— With the strict competition in the precast concrete industry at this time, causing PT.ABC as a precast concrete manufacturing is required to be able to produce products that meet customer expectations both of time and quality. To achieve this, a waste analysis needs to be done using the Lean supply chain approach so that it will improve the efficiency of the manufacturing system. This approach is carried out by describing the flow of company information through Value Stream Mapping (VSM) tools. Company activities will be classification in value added, non value added, and necessary non value added. From the VSM mapping it is seen that a lot of waste occurs in the supply chain flow. This can be seen from the delay in the arrival of main material from the supplier resulting in the process stalled, a sudden change in production plans, disruption of production scheduling caused by a long lead time. Therefore, effective and efficient efforts are needed to minimize waste in the supply chain flow in order to meet customer expectations. This research succeeded in detailing the value added time is 2,025 minutes, the total necessary but non value added time is 335 minutes so that the total supply chain lead time is 2,360 minutes.

Peramalan Permintaan Menggunakan Jaringan Syaraf Tiruan dan Perencanaan Produksi Menggunakan Linear Programming pada Perusahaan Aluminium Rahmi Khairunisa; Iveline Anne Marie; Parwadi Moengin; Nue Jihan Widayanti; Nilla Nilla
JURNAL TEKNIK INDUSTRI Vol. 11 No. 3 (2021): VOLUME 11 NO 3 NOVEMBER 2021
Publisher : Jurusan Teknik Industri, Fakultas Teknologi Indusri Universitas Trisakti

Intisari— PT ABC menghasilkan berbagai macam produk aluminium ingot sekunder yang kemudian didistribusikan pada produsen otomotif roda dua dan roda empat di Indonesia dengan standar kualitas yang tinggi. Bahan baku utama pada produksi aluminium ingot sekunder adalah basemetal, scrap yang diperoleh dari pengepul barang rongsok serta bahan addictive seperti silikon dan tembaga. Saat ini perusahaan kurang optimal dalam menerapkan perencanaan produksi yang menyebabkan tidak maksimumnya pemanfaatan fasilitas produksi serta pemanfaatan penggunaan energi bahan bakar gas yang menyebabkan tingginya biaya produksi. Tujuan dari penelitian ini adalah untuk mendapatkan hasil peramalan permintaan dan perencanaan produksi yang dapat menurunkan biaya produksi. Pada penelitian dilakukan perancangan model peramalan permintaan menggunakan metode Jaringan Syaraf Tiruan untuk mendapatkan proyeksi permintaan selama 3 periode mendatang. Selanjutnya dilakukan perencanaan produksi dengan menggunakan pendekatan Linier Programming yang telah mempertimbangkan ketersediaan sumber daya produksi sehingga dapat meningkatkan utilisasi fasilitas produksi dengan biaya produksi yang minimum. Berdasarkan rencana produksi dapat dilakukan perhitungan kebutuhan persediaan bahan baku pembentuk produk. Hasil peramalan dengan menggunakan metode Jaringan Syaraf Tiruan memberikan hasil peramalan permintaan dengan nilai error yang kecil. Hasil proyeksi permintaan untuk periode 1 adalah sebanyak 804.645 kg, periode 2 sebanyak 529.307 kg, dan periode 3 sebanyak 788.669 kg. Berikutnya, dengan menggunakan output hasil peramalan permintaan menggunakan JST, dilakukan perencanaan produksi yang memberikan solusi jumlah produksi yang optimal, yaitu untuk produk AC2C, ADC12 dan HD2 yang menghasilkan biaya produksi minimum. Berdasarkan hasil perhitungan perencanaan produksi dapat ditentukan kebutuhan bahan baku basemetal, skrap dan addictive untuk mendukung operasional produksi pada perusahaan aluminium. Abstract— PT ABC produces a wide range of secondary aluminum ingot products which are then distributed to two-wheel and four-wheel automotive manufacturers in Indonesia with high quality standards. The main raw materials for the production of secondary aluminum ingots are base metal, scrap obtained from junk collectors and addictive materials such as silicon and copper. Currently the company is less than optimal in implementing production planning which causes the utilization of production facilities not to be maximized and the use of gas fuel energy which causes high production costs. The purpose of this research is to obtain the results of demand forecasting and production planning that can reduce production costs. In this research, the demand forecasting model is designed using the Artificial Neural Network method to obtain demand projections for the next 3 periods. Furthermore, production planning is carried out using a Linear Programming approach which has taken into account the availability of production resources so as to increase the utilization of production facilities with minimum production costs. Based on the production plan, it is possible to calculate the inventory requirements for raw materials forming the product. Forecasting results using the Artificial Neural Network method provide demand forecasting results with a small error value. The results of requests for period 1 were 804,645 kg, period 2 were 529,307 kg, and period 3 were 788,669 kg. Next, by using the output of demand forecasting using ANN, a production plan is carried out that provides the optimal production quantity solution, namely for AC2C, ADC12 and HD2 products that produce minimum production costs. Based on the calculation results of production planning, it can be determined the need for base metal, scrap and addictive raw materials to support production operations in aluminum companies.

Co-Authors A.A. Ketut Agung Cahyawan W Adi Sucipto, Adi Adianto Adianto Adianto Adianto Ahmad Farhan Ahmad Farhan Ahmad Farhan, Ahmad Ahsan Khalfani Sabara Amal Witonohadi Amal Witonohadi Amal Witonohadi Andi Arni Soraya Anni Kholila Harahap Annisa Dewi Akbari, Annisa Dewi Annisa Widya Putri Annisa Widya Putri Annisa Widya Putri Anung B. Aribowo Auliya Dewi Oktriana Baehaqi Bella Suciana Istiqomah Bella Suciana Istiqomah, Bella Suciana Caesar, Marcel Patulus Cindy Claudia Cindy Claudia, Cindy Dadan Umar Daihani Dara Mustika Dedy Sugiarto Dewayana, Triwulandari Satitidjati Dewi Nilamsari Didien Suhardini Djohar Tjintamani Docki Saraswati Dorina Hetharia Dorina Hetharia Emelia Sari Eriyatno . Erna Regina Supriatna Fani Puspitasari Fani Puspitasari Ferian Rizkyka Triswara Gunawan, Akbar Gusni Muharam Habyba, Anik Nur Hartini Henry Candra Idriwal Mayusda Ilham, Ahmad Indah Permata Sari Indah Permata Sari Intan Emeralda Iphov Kumala Sriwana Isnaeni Nabilah Isnaeni Nabilah Iwan Purwanto Iwan Purwanto Jeany Fadhilah Agatha Siahaan Juliana Josephina Alexsandra Kadarsah Suryadi Kemala Sari, Debbie Khairunisa, Rahmi Laser Narindro Lukmanul Hakim Lukmanul Hakim Lussa, Mila Oktaviyani Marcel Patulus Caesar Maulana, Ihram Mohammad Ali Wafa Monika Tangel Muhammad Aditya Putra Muhammad Aditya Putra Muhammad Aditya Putra Muhammad Daffa Alrifqi Muhammad Najih N. Nilla Nabila, Shadrina Putri Najih, Muhammad Nilla Nilla Nilla, N. Nilla, Nilla Nora Azm Nora Azmi Nora Azmi Nora Azmi Novia Rahmawati Novia Rahmawati Novia Rahmawati Nue Jihan Widayanti Nur Azizah Putri Utami Parwadi Moengin Parwadi Moengin Pudji Astuti PUDJI ASTUTI Puspa, Sofia Debi Puspitasari, Fani Rachman Catur Kurniawan Rahmi Khairunisa Ratna Mira Yojana Ratnaningsih Ruhiyat Rina Fitriana Rina Fitriana, Rina Rosi Theresia Rumlaklak, Marchel P Silvi Ariyanti Siska Herliana Sofia Debi Puspa Sucipto Adi Suwiryo Suhartati Agoes Suhendi Suhendi Suprana, Yayang Ade Suryana, Yunita Friscilia Susan Sulaiman Susan Sulaiman Teofilus Nathanael Chaiyadi Teofilus Nathanael Chaiyadi Teofilus Nathanael Chaiyadi Tiena Gustina Amran Tono Sukarnoto Tono Sukarnoto, Tono Triwulandari Satitidjati Dewayana Triwulandari Satitidjati Dewayana Triwulandari SD, Triwulandari Wahyuningsih Santoso Wayan Rendy Armilando Widayanti, Nue Jihan Winnie Septiani Yandra Arkeman Yayang Ade Suprana Yayang Ade Suprana Yojana, Ratna Mira Yudha Melianto Yulius .

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