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All Journal International Journal of Science and Engineering (IJSE) TEKNIK Rotasi Sainteknol : Jurnal Sains dan Teknologi Jurnal Teknologi Rekayasa Mesin Prosiding Semnastek DINAMIKA Jurnal Ilmiah Teknik Mesin JTT (Jurnal Teknologi Terpadu) Teknika: Engineering and Sains Journal JRST (Jurnal Riset Sains dan Teknologi) RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer) Prosiding Semhavok Jurnal Pengabdian Masyarakat Teknik Journal of Applied Sciences and Advanced Technology BASKARA: Journal of Business and Entrepreneurship ABDI MOESTOPO: Jurnal Pengabdian pada Masyarakat Automotive Experiences Jurnal Teknik Mesin Mechanical Xplore Borobudur Engineering Review Aceh International Journal of Science and Technology
Anwar Ilmar Ramadhan
Jurusan Teknik Mesin, Fakultas Teknik, Universitas Muhammadiyah Jakarta, Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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Process of Making Gas Stove Spuyer with TU-2A CNC Machine Thomas Djunaedi; Anwar Ilmar Ramadhan; Firmansyah Firmansyah; Mohd Amiruddin Fikri
Journal of Applied Sciences and Advanced Technology Vol 4, No 3 (2022): Journal of Applied Sciences and Advanced Technology
Publisher : Faculty of Engineering Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jasat.4.3.87-92

Abstract

The TU-2A CNC machine is a turning machine tool that is controlled by a computer system through data (program input) in the form of letters and numbers. This machine is capable of producing a work piece with a complex shape and high accuracy, as well as the effectiveness of minimum production time. Gas stove nozzle is a form of work piece which in the manufacturing process is required to have a high level of effectiveness with high accuracy. The supporting factors in the manufacturing process are based on the selection of program functions and machining parameters (cutting speed, feeding, feeding speed and proper rotation of the main axis).In the process of making gas stove nozzles using a CNC TU – 2A machine, the parameter values used are cutting speed (Vs) 20 m/min, feeding 0.75 mm/put, feeding speed (s') 281 mm /min and the main axis rotation (n) 375 rpm.So from the parameters used, it is known that the total machining time per component (tm) = 5.4 minutes, the total production cost per component (Cprod) = Rp. 8,572, - and the total production time per component (t prod) = 7.6 minutes. The greater the value of the Dept of cut, feed and feeding speed, the production time and production costs that occur will decrease until they reach t = 2.6% and C = 2.3%.
Evaluasi Kekuatan Resistance Spot Welding pada Proses Tailor welded blankss Menggunakan Mill-steel Beda Ketebalan Khoirudin khoirudin; Dicky Dimyati; Apang Djafar Ashiedieque; Sukarman S; Fathan Mubina Dewadi; Nana Rahdiana; Istianto Budhi Rahardja; Anwar Ilmar Ramadhan; Heri Suripto
Borobudur Engineering Review Vol 1 No 2 (2021): Mechanical and Industrial Engineering Research
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/benr.4916

Abstract

This paper presented the test of cup drawing, and the tensile ability of tailor welded blanks (TWBs) used to join the resistance spot welding a variety of different parameters. This study used SPCC-SD (JIS 3141) material with a material thickness of 1.0 mm and 1.2 mm. This research is focused on obtaining the highest tensile-shear strength of resistance spot welding and how it affects the results of the drawing cup process. This study used an experimental research method using six samples of RSW parameters. RSW parameters used are welding current, welding time, and squeeze time. This research was achieved the highest tensile-shear strength value of 5.09 kN and the lowest 4.15 kN which was achieved in the 5th and 1st samples respectively. The results of the cup drawing test using RSW parameters in the 5th and 6th samples showed no TWB failure in the welded area. Further research will be carried out by performing Taguchi optimization using RSW and TWBs parameters in the cup drawing process.
Identifikasi Penggunaan Masker untuk Pencegahan Covid-19 dengan Metode Local Binary Pattern Histogram (LBPH) dan Metode Haar Cascade Classifier Riza Samsinar; Idhar Mahasen; Anwar Ilmar Ramadhan
RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer) Vol 5, No 2 (2022): RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer)
Publisher : Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/resistor.5.2.151-156

Abstract

Penerapan protokol kesehatan khususnya menggunakan masker dalam konteks pandemi Covid-19 masih banyak dilanggar oleh sebagian masyarakat. Hal ini dikarenakan kurangnya pengawasan terhadap kebijakan tersebut. Untuk mendukung penerapan protokol kesehatan dapat digunakan LBPH (Local Binary Pattern Histogram) yang merupakan metode pengenalan wajah, ditambah dengan Haar Cascade Classifier yang merupakan algoritma pengenalan objek untuk mendeteksi wajah dan bagian-bagian wajah seperti hidung dan mulut, kedua metode tersebut dapat dikolaborasikan dengan bahasa pemrograman python. Metode LBPH dapat bekerja dengan baik pada resolusi minimal 240 px dengan tingkat keberhasilan sebesar 80%. Sedangkan untuk mendeteksi bagian-bagian wajah (hidung dan mulut), Haar Cascade Classifier menunjukkan tingkat keberhasilan sebesar 90% dan keberhasilan deteksi penggunaan masker 90%. Pada penerapannya sistem ini memerlukan pengaturan scale factor dan miminum neighbor serta penyesuaian citra latih dan citra saat implementasi untuk mendapatkan hasil yang maksimal. The implementation of health protocols, especially the use of masks in the context of the Covid-19 pandemic, is still widely violated by some people. This is due to the lack of oversight of the policy. To support the implementation of health protocols, can be used LBPH (Local Binary Pattern Histogram) which is a facial recognition method, coupled with the Haar Cascade Classifier which is an object recognition algorithm to detect faces and parts of the face such as nose and mouth, both methods can be collaborated with language python programming. The LBPH method can work well at a minimum resolution of 240 px with a success rate of 80%. Meanwhile, to detect parts of the face (nose and mouth), the Haar Cascade Classifier shows a 90% success rate and 90% success in detecting the use of masks. In practice this system requires setting scale factor and minimum neighbor as well as image adjustment and image training during implementation to obtain maximum results.
ANALISIS PERFORMANSI BAHAN BAKAR PREMIUM DAN PERTAMAX DENGAN RING BENSIN OPTION R TERHADAP DAYA DAN TORSI PADA SEPEDA MOTOR 4 TAK Anwar Ilmar Ramadhan; Thomas Djunaedi; Irwan Firmansyah
Jurnal Teknologi Vol 14, No 2 (2022): Jurnal Teknologi
Publisher : Fakultas Teknik Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jurtek.14.2.255-264

Abstract

The development of the world in the automotive field is now growing and growing rapidly. Very rapid development in the field of automotive motor vehicles, But what we already know with the thinning. Fuel is a problem we face today. As for finding a tool that can save fuel motor vehicles. R option gasoline ring is a fuel saver tool made of stainless steel that has 12,400 gauss magnets that have 1 inlet and 1 outlet. Analysis of the performance of premium fuel and pertamax with the option of gasoline R ring is done to know the ratio of power, torque and premium AFR and pertamax, both before and. The test results and calculations for the premium variables obtained power up to 0,2 HP, torque up by 3%, AFR more efficient 7.4%. While for the pertamax variable in getting power up to 0,2 HP, torque rose by 5.3%, AFR more efficient 8.4%.
Fiber Cyclone Palm Oil Mill Capacity 45 Tons/Hour Istianto Budhi Rahardja; Juni Afriani; Ahdiat Leksi Siregar; Daruki Daruki; Deni Almanda; Firmansyah Firmansyah; Anwar Ilmar Ramadhan; Mohd Hamisa Abdul Hamid
Journal of Applied Sciences and Advanced Technology Vol 5, No 2 (2022): Journal of Applied Sciences and Advanced Technology
Publisher : Faculty of Engineering Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jasat.5.2.67-76

Abstract

The processing of Fresh Fruit Bunches into crude palm oil and palm kernel can be done by starting to boil the Fresh Fruit Bunches until they are ripe, after the Fresh Fruit Bunches are ripe, then separate the bunches from the fiber by going through the slaughtering process, after which the fiber is then chopped and immediately pressed so that the oil comes out. After the oil and fiber are separated, the fiber will go to the fiber cyclone. Fiber cyclone is a device located at the solids station, the main function of the fiber cyclone is to separate the nut and fiber by sucking the fiber using air, through the ducting column and will exit through the air lock and then go to the boiler to be used as fuel. The fiber cyclone has a speed of 10.08 m/s for the velocity box, a vertical column of 6.86 m/s, and 8.57 m/s for the horizontal column. Fiber cyclone has 1 loss point for kernel, what is analyzed is the output of fiber cyclone which is fiber taken from air lock, the standard loss for fiber cyclone is 0.10%.
Effects of Drying Time on Yield and Moisture Content of “Sumahe” Powdered Drink Using Spray Dryer Ismiyati Ismiyati; Fatma Sari; Ratri Ariatmi Nugrahani; Anwar Ilmar Ramadhan
Aceh International Journal of Science and Technology Vol 7, No 3 (2018): December 2018
Publisher : Graduate Program of Syiah Kuala University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (543.28 KB) | DOI: 10.13170/aijst.7.3.9620

Abstract

As people today are becoming more health-conscious, various efforts have been made to keep up one’s health, such as by consuming highly nutritious food and drinks. One of the nutritious food sources produced from bees is honey, bioactive compounds of polyphenols, glyoxal and methylglioxal. Honey could be used as a health drink by mixing with ginger. This health drink is also produced as powdered drink to simplify storing, reduce the use of plastic packaging, and to add product value to increase market share. The aim of this research was to analyze the effects of drying time for 5, 15, and 25 minutes with an addition of maltodextrin on the yield, density, and moisture content of “Sumahe” instant powdered drink, made from cow’s milk, honey, and ginger. The results showed that the longer the drying time, the lower the moisture content of the drink. Meanwhile, the longer the drying time, the higher the yield became. A taste test of “Sumahe” also indicated that from 25 minutes of drying time, most of the panelists rated the drink as tasteful and delicious.
SINTESIS DAN KARAKTERISASI NANOSELULOSA SERBUK DARI TANDAN KOSONG KELAPA SAWIT MENGGUNAKAN ULTRASONIFIKASI Tri Yuni Hendrawati; Efrizon Umar; Anwar Ilmar Ramadhan; Alvika Meta Sari; Mutiara Salsabila; Rahmawati Suryani; Firmansyah Firmansyah; Istianto Budhi Rahardja
Jurnal Teknologi Vol 15, No 1 (2023): Jurnal Teknologi
Publisher : Fakultas Teknik Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jurtek.15.1.159-166

Abstract

Indonesia is the largest palm oil producing country in the world. In the palm oil production process, solid waste is produced, one of which is empty palm fruit bunches (EFB) of 25-26% w/w of the total palm oil raw material. OPEFB has several constituent components such as lignin, hemicellulose and cellulose. The high content of α-cellulose in OPEFB can be used as a base material for making nanocellulose. Nanocellulose was made in this study through delignification, ultrasonication and hydrothermal processes with the aim of obtaining the optimum ultrasonication temperature of nanocellulose. Temperature variations were carried out at 40, 50, 60 and 70 °C for 30 minutes. The results of the synthesis process can be seen visually for each temperature variation. Characterization analysis was performed using SEM (Scanning Electron Microscopy). The correlation between temperature variations (x) to the yield percentage of nanocellulose (y) follows the equation y = 7.921x + 7.345 and R2 = 0.9471. The optimum temperature of the ultrasonication process is 70 °C with a yield of 36.9%. The size of nanocellulose powder is 174.85-460.84 nm with SEM at 70 °C.
Sistem Pendeteksi Kurir Menggunakan Smart Closed Circuit Television (CCTV) Berbasis Internet Of Things (IoT) dengan Media Komunikasi Bot Telegram (Studi Kasus : Rumah Indekost) Riza Samsinar; Govinda Gatot Aditya; Deni Almanda; Fadliondi Fadliondi; Fachri Amrulloh; Anwar Ilmar Ramadhan
RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer) Vol 6, No 1 (2023): RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer)
Publisher : Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/resistor.6.1.47-54

Abstract

ABSTRACTClosed circuit television (CCTV) merupakan sebuah sistem keamanan untuk pengawasan gambar video satu arah yang sangat banyak  digunakan di berbagai tempat. Dengan semakin berkembangnya teknologi munculnya sebuah gagasan Internet of Things (IoT) dan konsep Machine learning sebuah CCTV dapat dikembangkan menjadi sebuah sistem pengawasan pintar yang dapat memproses layer-layer gambar untuk menghasilkan output tertentu, ataupun sebuah alat komunikasi. Sebelumnya, sudah banyak implementasi konsep Machine learning pada sistem CCTV, seperti pendeteksi wajah otomatis, pencari kerusakan pada saluran pipa air bahkan pendeteksi senjata berbahaya. Penelitian ini membuat sebuah sistem pendeteksi kurir pengiriman paket dengan penangkapan gambar  CCTV pintar untuk memudahkan pengiriman kepada user yang dituju dengan menunjukan jumlah jari sesuai dengan prosedur penerimaan paket pada rumah indekost, dengan tujuan yaitu untuk memanfaatkan sebuah sistem kamera CCTV menjadi sebuah alat komunikasi berbasis IoT dengan Bahasa pemrograman python untuk mendeteksi gesture tangan (Hand Gesture) menggunakan OpenCV dan Mediapipe, yang dapat menyajikan informasi berupa notifikasi email dan bot telegram. Waktu optimal rata-rata untuk setiap notifikasi terkirim adalah 18-26 detik. Dengan tingkat akurasi rata-rata pembacaan untuk skenario yang berbeda adalah 100% (sepi), 91% (normal), dan 91%(>2 orang/ramai). Sistem Pendeteksi ini di simpan pada file di google drive menggunakan format H.264 untuk mendapatkan kualitas gambar yang bagus. Keywords: CCTV, Internet Of Things, OpenCV, Mediapipe, PythonABSTRACTClosed circuit television (CCTV) is a security system for surveillance of one-way video images which is widely used in various places. With the development of technology, the emergence of an Internet of Things (IoT) idea and the concept of Machine learning a CCTV can be developed into a smart surveillance system that can process image layers to produce a certain output, or a communication tool. Previously, there have been many implementations of the concept of machine learning in CCTV systems, such as automatic face detection, damage detectors to water pipelines and even dangerous weapon detection. This research creates a package delivery courier detection system with smart CCTV image capture to facilitate delivery to the intended user by showing the number of fingers according to the procedure for receiving packages at boarding houses, with the aim of utilizing a CCTV camera system to become an IoT-based communication tool with Python programming language for detecting hand gestures (Hand Gestures) using OpenCV and Mediapipe, which can provide information in the form of email notifications and telegram bots. The average optimal time for each notification sent is 18-26 seconds. With the average accuracy of readings for different scenarios are 100% (quiet), 91% (normal), and 91% (> 2 people/crowded). This detection system is stored in a file on Google Drive using the H.264 format to get good image quality.Keywords: CCTV, Internet Of Things, OpenCV, Mediapipe, Python
PENGEMBANGAN ALAT CETAKAN KUE AKAR KELAPA OTOMATIS UNTUK PELAKU USAHA MIKRO KECIL DAN MENENGAH (UMKM) Arya Smara Dyota; Fatima Tasya Kamila; Kushendarsyah Saptaji; Muhamad Rausyan Fikri; Ignatius Budi Sutanto Hadisujoto; Iwan Setiawan; Anwar Ilmar Ramadhan
Jurnal Pengabdian Masyarakat Teknik Vol 5, No 2 (2023): Vol 5, No 2 (2023): Jurnal Pengabdian Masyarakat Teknik (JPMT)
Publisher : Fakultas Teknik Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jpmt.5.2.59-64

Abstract

Kue akar kelapa merupakan kue kering atau camilan khas masyarakat suku Betawi, Indonesia yang berbentuk seperti akar kelapa. Sebagai salah satu makanan tradisional, tentu saja kue akar kelapa ini perlu untuk dilestarikan. Namun dalam proses pembuatannya, masih banyak dilakukan dengan cara manual yang membutuhkan waktu dan tenaga yang cukup banyak, sehingga dibutuhkan alat otomatis untuk menghemat kedua hal tersebut. Oleh karena itu, civitas akademi dari Fakultas Teknik dan Teknologi Universitas Sampoerna mengadakan kegiatan pengabdian kepada masyarakat untuk membantu para pengusaha kue akar kelapa dengan membuat alat cetakan kue akar kelapa otomatis. Kegiatan ini juga melibatkan mahasiswa dari jurusan teknik mesin Universitas Sampoerna dengan mengimplimentasikan sebagai tugas proyek pada mata kuliah proses manufaktur dengan bimbingan dosen pengajar matakuliah tersebut. Kegiatan ini dilakukan terutama untuk membantu pengusaha kecil menengah yang tergabung dalam Persatuan Usaha Kecil dan Menengah Indonesia (Perumkmindo) Jakarta Selatan. Proses kegiatan dimulai dengan melakukan riset, mendesain alat, membuat prototipe alat, hingga uji coba dan demo kepada perwakilan Perumkmindo. Dari hasil ujicoba, salah satu alat yang dibuat oleh mahasiswa dihasilkan pada kegiatan pengabdian masyarakat ini dinilai layak dari segi teknis dan ekonomi. Selain untuk melestarikan makanan tradisional, alat ini diharapkan dapat meningkatkan produktivitas penjual kue akar kelapa dan meningkatkan pendapatan. 
STUDI PENGEMBANGAN NANOFLUIDA HIJAU BERASAL DARI BAHAN LOKAL ALAM UNTUK APLIKASI DI BIDANG TEKNIK Kushendarsyah Saptaji; Alvika Meta Sari; Anwar Ilmar Ramadhan; Istianto Budhi Rahardja; Muhammad Dadi Saputra; Firmansyah Firmansyah; Efrizon Umar
Jurnal Teknologi Vol 15, No 2 (2023): Jurnal Teknologi
Publisher : Fakultas Teknik Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jurtek.15.2.345-358

Abstract

The increase in energy demand causes a continuous increase in global temperatures exceeding pre-industrial temperatures with the release of toxic gases and radiation causing severe climate conditions. So, it is mandatory to develop durable and highly efficient thermal systems to overcome these problems. There has been much research into nanofluids to improve performance in thermal applications and have gained significant attention over the past few years due to their superior qualities. Additionally, other undesirable effects such as corrosion of equipment, non-biodegradable by-products occur due to the presence of strong chemicals. Therefore, the development of cost-effective and environmentally friendly nanofluids has emerged as a fast-growing alternative research field with many enthusiasts. The current review provides a comprehensive view of the various techniques used in the preparation of green nanofluids using several natural extracts. The unique morphology, optical properties, stability, high surface area, lower toxicity, and improved thermo-physical properties of green nanoparticles make them favorable choice candidates in enhancing the performance of thermal systems.
Co-Authors Abduh Al Afghani Abrori, Muhammad Reza Achmad Nuril Fajar Ade Muslimat Aditya Firmanto Agung Julianto Agung Siswahyu Ahdiat Leksi Siregar Ahmad Fauzi Ahmad Yakub Ahmad Yakub, Ahmad Akmal Imam Faisal Alfa Taufan Latif Alvika Meta Sari Amri Abdulah Anggoro Septilarso Annisa Mulia Rani Annisa Mulia Rani Apang Djafar Ashiedieque Arya Smara Dyota Aryadi Suwono As Natio Lasman Boy Setiawan Choirul Anwar Dalil Sumiyarsono, Dalil Daruki Daruki Dede Erland Ramadhan Deni Almanda Deni Almanda Deni Almanda Dermawan, Erwin Dharu Dewi Dhian Trisnadi Setyawan Diah Safitri Ningrum Dicky Dimyati Djoko Hadi Prajitno Djoko W Karmiadji Djoko W Karmiadji Dodi Mulyadi Efrizon Umar Efrizon Umar Efrizon Umar Efrizon Umar Eka Revi Ruswandi Eka Revi Ruswandi, Eka Revi Eko Kiswoyo Erwin Dermawan Erwin Dermawan Erwin Dermawan Erwin Dermawan Erwin Dermawan Erwin Dermawan Ery Diniardi Ery Diniardi Ery Diniardi Ery Diniardi Ery Diniardi Ery Diniardi Ery Diniardi Ery Diniardi Ery Diniardi Ery Diniardi Fachri Amrulloh Fadliondi Fahmi Al Diansyah Fathan Mubina Dewadi Fatima Tasya Kamila Fatma Sari Fikriyansyah Fikriyansyah Firmansyah Firmansyah Frisca Amalia Ummay Govinda Gatot Aditya Hasan Basri Hasan Basri Hasan Basri Hasan Basri Hasan Basri Hasan Basri Hasan Basri Hasan Basri Hasan Basri Hasan Basri Hasan Basri Hasan Basri Hayya Afifah Idhar Mahasen Ignatius Budi Sutanto Hadisujoto Indra Setiawan Indriasari Indriasari Iphov Kumala Sriwana Irwan Firmansyah Ismiyati Ismiyati Istianto Budhi Rahardja Istianto Budhi Rahardja Istianto Budhi Rahardja Istianto Budhi Rahardja Istianto Budhi Rahardja Iwan Setiawan Januar Parlaungan Siregar Juni Afriani Khoirudin Khoirudin Khoirudin Khoirudin Kisman H Mahmud Korada Viswanatha Sharma Kushendarsyah Saptaji Kushendarsyah Saptaji M Al-Haramain M. Ivan Satryo Maya Dewi Dyah Maharani Mohd Amiruddin Fikri Mohd Fairusham Ghazali Mohd Hamisa Abdul Hamid Muhamad Rausyan Fikri Muhammad Arifangga Muhammad Arifangga, Muhammad Muhammad Dadi Saputra Muhammad Daroji Muhammad Reza Abrori Muhammad Reza Abrori, Muhammad Reza Mulyadi Mulyadi Murtalim Mushoffa Ali Firdaus Mushoffa Ali Firdaus, Mushoffa Ali Mutiara Salsabila Nana Rahdiana Nana Rahdiana Nana Rahdiana Nathanael Tandian Nelfiyanti Nelfiyanti Nelfiyanti Nelfiyanti Nelfiyanti Nelfiyanti Nelfiyanti, Nelfiyanti Nurrochman, Taufik Nurul Hidayati Fithriyah Nurul Nadia Mohd Zawawi Rahmawati Suryani Raslan A. Alenezi Rasma Rasma Rasma Rasma Ratri Ariatmi Nugrahani Rian Fitriana Ricko Valderama Ridhwan Adhitya Ibnimatiin Rikman Rikman Riza Samsinar Rizalman Mamat Roni Muhammad Susanto Rudiatin, Endang Rulan Dinary Rulan Dinary Runik Machfiroh Sa Diyah El Adawiyah Safril Sasi Kirono Sa’diyah El-Adawiyah Sharifah Norsakinah Syed Zainal Abidin Sitti Nurbaya Ambo Sony Hari Mukti, Sony Hari Sukarman Sukarman Sukarman Sukarman Sukarman Sukarman Sukarman Sukarman Sukarman Sulistiono Sulistiono Sumanto Suripto, Heri Suroto Munahar Susanto, Roni Muhammad Syawaluddin Syawaluddin Syawaluddin Syawaluddin Syawaluddin Syawaluddin Syawaluddin Syawaluddin Syawaluddin Syawaluddin, Syawaluddin Syawaluddin, Syawaluddin Sylvia madusari Taufik Nurrochman Thomas Djunaedi Tri Yuni Hendrawati Tri Yuni Hendrawati Waldi Isnaini Wan Hamzah Azmi Wan Hamzah Azmi Wiwik Sudarwati Wiwit Kartika Sari Yudi Dermawan