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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Indonesian Journal of Applied Sciences Majalah Kedokteran Bandung Jurnal Kedokteran dan Kesehatan : Publikasi Ilmiah Fakultas Kedokteran Universitas Sriwijaya Journal of Engineering and Technological Sciences Journal of ICT Research and Applications International Journal of Advances in Intelligent Informatics The Asian Journal of Technology Management (AJTM) ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Padjadjaran Journal of Dentistry Journal of Geoscience, Engineering, Environment, and Technology Journal of Science and Applicative Technology Journal of Dentomaxillofacial Science Spektra: Jurnal Fisika dan Aplikasinya Agrin : Jurnal Penelitian Pertanian Jurnal Otomasi Kontrol dan Instrumentasi Jurnal Elektronika dan Telekomunikasi Jurnal Pendidikan dan Konseling ANIMA Indonesian Psychological Journal Scientific Journal of Mechanical Engineering Kinematika Jurnal Nasional Aplikasi Mekatronika, Otomasi dan Robot Industri (AMORI) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Makara Journal of Technology
Suprijanto Suprijanto
Faculty of Industrial Engineering, Institute of Technology Bandung, Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Physics Public Health Social Sciences Other

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An Analysis of EEG Changes during Prolonged Simulated Driving for the Assessment of Driver Fatigue Zuraida, Rida; Iridiastadi, Hardianto; Sutalaksana, Iftikar Zahedi; Suprijanto, Suprijanto
Journal of Engineering and Technological Sciences Vol 51, No 2 (2019)
Publisher : ITB Journal Publisher, LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (198.919 KB) | DOI: 10.5614/j.eng.technol.sci.2019.51.2.9

Abstract

Fatigue during driving is the main contributing factor to road accidents. It is influenced by time on task (TOT) and time of day (TOD). Recent electroencephalogram (EEG) research on fatigue assessment has shown a promising result in explaining the fatigue phenomenon. However, different findings exist regarding the best EEG parameters related to fatigue. This study examined EEG changes according to the effect of TOT and TOD and determined the best parameters to distinguish fatigue status. To generate driver fatigue, prolonged driving in the morning and at night in a simulator was conducted. The EEG signal was collected from 28 male participants at frontal and occipital areas. The EEG power (brainwave) was determined from the first and last 5 minutes of the driving task and after a break of 30 minutes. The results of this study showed a general tendency of EEG power changing throughout the driving sessions. However, changes related to fatigue were only found for the night sessions, as confirmed by q power and the subjective fatigue measurement result. This study showed that TOT (as a factor that induces fatigue) was explained by q from the frontal area, whereas TOD was differentiated by a, q, q/b, (q+a)/b and (q+a)/(b+a).
Citra Radiografi Panoramik pada Tulang Mandibula untuk Deteksi Dini Osteoporosis dengan Metode Gray Level Cooccurence Matrix (GLCM) Azhari, -; Suprijanto, -; Diputra, Yudhi; Juliastuti, Endang; Arifin, Agus Zainal
Majalah Kedokteran Bandung Vol 46, No 4 (2014)
Publisher : Faculty of Medicine, Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (722.539 KB)

Abstract

Osteoporosis  salah satu penyakit degeneratif yang berkaitan dengan proses penuaan yang ditunjukkan perubahan struktur trabekula dan penurunan bone mineral density (BMD). Tujuan penelitian  adalah mendapatkan metode kuantifikasi citra panoramik  pada region of interest (ROI) di mandibula untuk menentukan BMD. Penelitian ini menggunakan  ROI (80x80 pixel) pada  kondilus mandibula untuk kuantifikasi citra dilakukan di Bagian Radiologi  Fakultas Kedokteran Gigi Universitas Padjadjaran bulan  Oktober sampai Desember 2013. Pendekatan analisis tekstur menggunakan prinsip gray level co-occurence matrix (GLCM).  Desain dari kuantifikasi citra terdiri atas tahapan pelatihan dan pengujian.  Tahapan pelatihan melalui  9 data latih terhadap subjek wanita berusia 52–73 tahun pascamenopause.  Data  BMD vertebra lumbar dari DEXA digunakan sebagai referensi pada tahap klasifikasi dengan support vector machine (SVM) dengan fungsi kernel multilayer perceptron. Pengujian digunakan 14 data uji dari subjek selain yang digunakan untuk data latih. Pengujian untuk klasifikasi kelas normal dan osteoporosis menggunakan SVM memberikan akurasi  85,71%; sensitivitas (tingkat benar positif) 90,91%; dan spesifisitas (tingkat benar negatif) 66,67%. Pengenalan fitur paling baik didapatkan menggunakan kombinasi fitur contrast, correlation, energy, dan homogeneity sebagai input bagi klasifikasi SVM. Simpulan, analisis tekstur trabekula menggunakan metode gray level co-occurence matrix (GLCM) citra panoramik gigi dapat digunakan untuk deteksi dini osteoporosis. Kata kunci: Grey level co-occorance matrix (GLCM), panoramik, osteoporosis Panoramic Radiograph Image using Cooccurence Gray Level Matrix Method (GLCM) for Early Detection of Osteoporosis in Mandibular Bone  Abstract Osteoporosis is one of the degenerative diseases associated with aging, which is apparent from changes in trabecular structure and decreased bone mineral density (BMD) The  aim of this study  was to obtain a panoramic image quantification method on a region of interest (ROI) to determine the BMD. This study used an ROI (80x80 pixels) of the mandibular condyle for image quantification. The study was performed at the Department of Radiology, Faculty of Dentistry, Padjadjaran University during the period of October to December 2013. A texture analysis approach was applied using the principles of gray level co-occurence matrix (GLCM). The design of image quantification consisted of training and testing stages. The training stage was performed through 9 training data on the subjects of post-menopausal women between 52–73 years old . Data from the lumbar vertebrae BMD DEXA was used as a reference in the classification stage using a support vector machine (SVM) with kernel function multilayer perceptron. The testing used 14 test data from subjects which were not used for training data. The results showed that for the normal and osteoporotic class classification using SVM the accuracy was 85.71%, sensitivity (true positive rate) was 90.91%, and specificity (true negative rate) was 66.67%.  The best feature recognition was obtained using a combination of feature contrast, correlation, energy, and homogeneity as inputs for SVM classification. In conclusion, analysis of the trabecular texture using dental panoramic image produced by gray level co-occurance matrix (GLCM) method can be useful for early detection of osteoporosis.Key words: Grey level co-occorance matrix (GLCM), panoramic, osteoporosis DOI: 10.15395/mkb.v46n4.338
Using Electroencephalogram (EEG) to Understand The Effect of Price Perception on Consumer Preference Aprilianty, Fitri; Purwanegara, Mustika Sufiati; Suprijanto, Suprijanto
The Asian Journal of Technology Management (AJTM) Vol 9, No 1 (2016)
Publisher : School of Business and Management Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12695/ajtm.2016.9.1.6

Abstract

Abstract. The research examines the influence of price as product cues on consumer’s perception and evaluation by using the application of electroencephalogram (EEG). This method can give objective information about consumer reactions towards product cues that will drive consumer’s choice. The main research objective was to observe and evaluate consumer’s brain activity in different brain regions while they were being exposed by several price levels (low, medium, high) of underwear as stimuli and focused mainly on liking/disliking the stimuli. The participants consist of 10 female and 10 male consumers within 18-24 years old, have normal vision, right handed, and considered as potential purchasers of underwear. The participant’s brain activity was collected using Emotiv EPOC neuroheadset (EEG) with international 10/20 system and was obtained in Beta frequency bands (13–30 Hz). The result indicated that there was a clear and significant change (p<0.05) in the EEG brain spectral activities of right and left hemisphere in the frontal (F3 & F4), temporal (T7 & T8), and parietal (P7 & P8) regions when participants indicated their attentiveness towards each price level stimulus. The results show, the male and female participant’s tactile sensations in parietal lobe does not give more favorable attention towards particular price stimulus, but the difference price perceptions in parietal lobe can lead to rational preference and give most favored response towards high price stimulus. Analyzing of price perception may help to understand the differences in price-related emotions and preference, which can gain insights into an alternative pricing strategy that can lead to influence consumers buying decision.Keywords:  EEG, Price, Perception, Preference, Underwear.
ANALISIS KEMAMPUAN CITRA RADIOGRAFI PANAROMIK DALAM MENDETEKSI KERAPATAN TRABEKULA TULANG DENGAN MIKRO CT SEBAGAI BAKU STANDARD - Image Analysis Capabality Of Detectinc Panoramic Radiographic Trabecular Bone Density As Standard With Standard Micro CT Azhari Azhari; Suprijanto Suprijanto; Hanifan Prafiadi; Endang Juliastuti
Indonesian Journal of Applied Sciences Vol 4, No 1 (2014)
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (493.677 KB) | DOI: 10.24198/ijas.v4i1.16679

Abstract

AbstrakPenelitian Radiografi panoramik menggunakan  analisa mikro struktur untuk  deteksi kualitas tulang menggunakan Panoramik dengan Micro CT sebagai baku standard. Tujuan dari penelitian ini untuk mengetahui akurasi Panoramik dalam mendeteksi trabekula tulang di regio kondilus, angulus mandibula dan regio molar dengan model tulang vertebrae dan tulang iga. Empat macam tulang vertebrae dan tulang iga sapi diletakkan pada lengkung rahang yang  dibantu oleh model tengkorak terbuat dari plastik sebagai model lengkung tulang. Tulang diletakkan pada lengkung rahang bawah terbuat dari  bahan plastik pada regio berbeda yaitu : regio kondilus (tulang 1), angulus mandibula (tulang 2) regio molar 2 dan molar 1( tulang 4). Model tulang masing-masing mempunyai kerapatan berbeda lalu dilakukan pemotretan radiografi panoramik dengan posisi standard dan micro CT sebagai “gold standard”. Dengan menggunakan Analisis fraction trabekula algorithma menggunakan software.  Hasil penelitian didapatkan fraksi trabekular sebagai berikut: regio kondilus panoramik sebesar: 44.05%, Micro CT 39.63% , regio angulus panoramik 28.85% , micro CT 24.15% , dan regio molar 27.43%, micro CT 22.64 %, rata-rata perbedaan 4,6 %. Radiografi panoramik dapat digunakan untuk mendeteksi kelainan micro struktur di  regio kondilus .Kata kunci :  Micro CT,  Panoramik,AbstractPanoramic radiographs using micro- structure analysis for the detection of bone quality using Panoramic with Micro CT as standard raw. The purpose of this study was to determine the accuracy in detecting trabecular bone Panoramic in the region of the condyle , the angle of the mandible and molar regions with models vertebrae and rib bones. Methods : Four kinds of bone vertebrae and ribs placed on the cow arch assisted by a plastic skull models as models of bone arch. Bone is placed in the lower arch is made of plastic materials in different regions are: region of the condyle ( bone 1 ), angle of the mandible ( bone 2 ) 2 molar and molar regions 1 ( bone 4 ). Model of each bone has different densities, then shooting panoramic radiography performed with standard position and micro CT as the " gold standard ". By using analysis of trabecular fraction algorithm using software. The study trabecular fractions obtained as follows : panoramic condyle region of : 44.05 %, 39.63 % Micro CT, region of the angle panoramic 28.85 %, 24.15 % micro CT, and molar region, 27.43 %, 22.64 % micro CT, difference average 4.6 %. Panoramic radiographs can be used to detect abnormalities in the region of the micro structure of the condyle.Keywords : Micro CT , Panoramic
Eye Movement Desensitization and Reprocessing (EMDR) Therapy for Handling Post Traumatic Stress Disorder (PTSD) Respondents Eka Susanty; Setyono Koesno; Candra Yudhistira; Lulu Lusianti; Suprijanto Suprijanto
ANIMA Indonesian Psychological Journal Vol. 30 No. 2 (2015): ANIMA Indonesian Psychological Journal (Vol. 30, No. 2, 2015)
Publisher : Laboratory of General Psychology, Faculty of Psychology, Universitas Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (340.669 KB) | DOI: 10.24123/aipj.v30i2.536

Abstract

EMDR therapy is designed to reduce distress related traumatic event. PTSD prevalence is large enough in Indonesia. It was caused by many natural disasters that happened in several area of Indonesia. However, the application of EMDR for reducing PTSD symptoms was still rare. The objective of this study was to examine the intervention of EMDR therapy in handling PTSD respondents and using a one group pretest-posttest design. There were nine PTSD respondents involved during treatment. EMDR treatments were conducted in four repetitive sessions. Each session was completed in 60-90 minutes. Data was taken using PSS (PTSD Symptom Scale) and tested with Wilcoxon statistical analysis. The statistic test showed (Z = - 2.668; p = .05) with Asymp. Sig. =.008. Descriptive data showed that mean scores before and after therapy are 30.88 and 15.77 respectively. This research concluded that EMDR therapy can work to decrease PTSD symptoms.
An Analysis of EEG Changes during Prolonged Simulated Driving for the Assessment of Driver Fatigue Rida Zuraida; Hardianto Iridiastadi; Iftikar Zahedi Sutalaksana; Suprijanto Suprijanto
Journal of Engineering and Technological Sciences Vol. 51 No. 2 (2019)
Publisher : Institute for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2019.51.2.9

Abstract

Fatigue during driving is the main contributing factor to road accidents. It is influenced by time on task (TOT) and time of day (TOD). Recent electroencephalogram (EEG) research on fatigue assessment has shown a promising result in explaining the fatigue phenomenon. However, different findings exist regarding the best EEG parameters related to fatigue. This study examined EEG changes according to the effect of TOT and TOD and determined the best parameters to distinguish fatigue status. To generate driver fatigue, prolonged driving in the morning and at night in a simulator was conducted. The EEG signal was collected from 28 male participants at frontal and occipital areas. The EEG power (brainwave) was determined from the first and last 5 minutes of the driving task and after a break of 30 minutes. The results of this study showed a general tendency of EEG power changing throughout the driving sessions. However, changes related to fatigue were only found for the night sessions, as confirmed by q power and the subjective fatigue measurement result. This study showed that TOT (as a factor that induces fatigue) was explained by q from the frontal area, whereas TOD was differentiated by a, q, q/b, (q+a)/b and (q+a)/(b+a).
New Reconstruction Method for Needle Contrast Optimization in B-Mode Ultrasound Image by Extracting RF Signal Parameters in Frequency Domain Hesty Susanti; Suprijanto Suprijanto; Deddy Kurniadi
Journal of Engineering and Technological Sciences Vol. 52 No. 4 (2020)
Publisher : Institute for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2020.52.4.5

Abstract

Ultrasound-guided needle insertion has become standard in medical interventional procedures. Regardless of its advantages, it still has crucial problems related to needle visibility. Some technical factors affect the visibility with non-linear characteristic, i.e. frequency, insertion angle and depth. Here, backscattered signal parameters from measurement were compared to a simulation of a resonance scattering model. Raw radio frequency (RF) data were reconstructed with a new method to represent unique information on total backpropagation from the needle, which consists of non-resonance and resonance scattering components. The result suggests that reconstruction of the needle in B-mode images should be derived from the maximum power spectral density and the energy spectral density to optimize the contrast of the needle. In measurements with the center frequency at 1.87 MHz, the effect of resonance scattering on the total backpropagation around critical angles could be observed more clearly with this method than with standard reconstruction based on the signal envelope. The simulation showed that the fractional bandwidth of the spectrum of the backscattered pressure field centered at 1.87 MHz was relatively optimal at 40% to 100%. So that the simulation of the resonance scattering model can be used to predict the backscattered response from the needle, it must be able to confirm it to the real conditions of RF data with random characteristics. Therefore, extraction of the backscattered pressure field in a simulation with fractional bandwidth should be a concern.
Digital Dermatoscopy Method for Human Skin Roughness Analysis Suprijanto Suprijanto; V. Nadhira; Dyah A. Lestari; E. Juliastuti; Sasanti T. Darijanto
Journal of ICT Research and Applications Vol. 5 No. 1 (2011)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.2011.5.1.4

Abstract

In this study we  propose a digital dermatoscopy  method to measure the human skin roughness. By using this method we eliminate the use of silicon replica.  Digital  dermatoscopy  consists  of  handheld  digital  microscope,  image processing  and  information  extraction  of  skin  roughness  level.  To  reduce  the noise due to the variation of reflection factor on the skin we use  median filter. Hence, by Fourier transform the skin texture is imaged in terms of 2D frequencyspatial  distribution.  Skin  roughness  is  determined  from  its  entropy,  where  the roughness level is proportional to the entropy.  Three types of experiment have been performed by evaluating: (i) the skin replicas; (ii)  young and elderly skin; and (iii) seven volunteers treated by anti wrinkle cosmetic in three weeks period. We find that for the first and second experiment that our system did manage to quantify the roughness, while on the third experiment, six of seven volunteers, the roughness are succeeded to identify.
Performance Analysis of Finger Flexor and Finger Extensor Muscles on Wall Climbing Athletes through Electromyography Measurement, Handgrip Strength, Handgrip Endurance and Lactate Acid H Susanti; Suprijanto Suprijanto; Farida I. Muchtadi; T Apriantono
Jurnal Otomasi Kontrol dan Instrumentasi Vol 1 No 2 (2009): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2009.1.2.5

Abstract

One of activities involved gripping activity is wall climbing sport. Physiologically, gripping activity involves finger flexor and finger extensor muscles at the lower arm. Naturally, muscles performance will decrease if muscles are given static or dynamic weight during certain time. This performance decrease is related with fatigue condition, which is also related with lactate acid accumulation, insufficient of metabolic reserve, and the decrease of neural activity in stimulating contraction[2].  Muscle fatigue characteristic experienced by participants were observed from the changing trend of Power Spectral Density (PSD) and median frequency of EMG signals, lactate acid level, and changing of handgrip strength and handgrip endurance values from four groups of measurement data.  The experiment was involving two professional wall climbing athletes as participants. The measurements were performed four times, which were before and soon after climbing, after first 15 minutes and after the second 15 minutes active recovery process, except for lactate acid level, measurements were performed twice, which were before and soon after climb activity. The athlete would have been ordered to climb the boulder for 15 minutes with a certain difficulty level.  Muscle performance measurement involved in this gripping activity was very important to know how far the influence of difference of subject and period of active recovery to recover muscle condition. By this knowledge, a couch or an athlete can arrange an effective training strategy to reach a maximum achievement.  Keywords: Electromyography, handgrip endurance, handgrip strength, Power Spectral Density, median frequency, finger flexor and finger extensor, lactate acid, fatigue
Pengukuran Aliran Gas menggunakan Ultrasonik Flowmeter 3-Lintasan Akustik Transduser-Ganda dengan Metoda Waktu-Tempuh Simultan K. Amri; L.F. Wiranata; F. Fitria; R. Michael; Suprijanto Suprijanto; D. Kurniadi
Jurnal Otomasi Kontrol dan Instrumentasi Vol 8 No 1 (2016): Jurnal Otomasi Kontrol dan Instrumentasi
Publisher : Pusat Teknologi Instrumentasi dan Otomasi (PTIO) - Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/joki.2016.8.1.6

Abstract

Ultrasonikflowmeter(USM)denganmetodawaktu tempuhmerupakanflowmeterdenganakurasiterbaik diantarasemuajenisUSMyangadasaatini,tetapisangat senstifterhadapperubahanprofilaliran.Profilaliran adalahdistribusikecepatanaliranfluidapadapenampang melintangpipa.Penggunaanmultilintasanakustikbisa mengatasipermasalahanini,tetapiakanmemunculkan masalahbaruyaitulamanyawaktupencuplikanuntuk satusesipengukuran,karenaselamainiselalu diasumsikanselamasatusesipengukurantidakterjadi perubahankecepatanalirandan/atautidakterjadi perubahanprofilaliran.Bilainiterjadimakahasil pengukurantidaklagimemperlihatkannilaiyang sebenarnya.Untukmengatasipermasalahantersebut, makadiusulkansuatuteknikpengambilan data yang dinamakandenganmetodawaktu-tempuhsimultan denganmenggunakantransduserganda.Penelitianini diawalidenganmelakukanpengujiankinerjabeberapa bentukkonfigurasimultilintasanakustiksecaranumerik. Berdasarkanhasilsimulasidiputuskanuntuk menggunakankonfigurasi3lintasanakustikparalel(LIN) denganpertimbanganfaktorhidrodinamik,faktor sensitivitasorientasi,faktorrentangorientasisertafaktor kemudahanimplementasinya.Selanjutnyadilakukan eksperimendenganmembuatUSMdengankonfigurasi LINdisertaidengansistempengukuranyang menggunakanmetodawaktu-tempuhsimultan.Darihasil pengukurandiperolehnilaikecepatanaliransebesar3,53 m/s dengan  tingkat presisisebesar 3,10%Kata Kunci:USM multi lintasan akustik, metode waktu- tempuh simultan, eksperimen pengukuran, transduser ganda, flowmeter gas
Co-Authors - Azhari - Azhari Agus Z. Arifin Agus Zainal Arifin Ahmad Haerudin AHMAD, SAYYID AL HABBIB Aldi Fernando Aldy Aprian Aprilianty, Fitri Arief Adhi Nugroho Ayu Gareta R. Azhari Azhari Azhari Azhari Bayu Pamungkas Bernadus Bisma Titis Restu Aji Bonfilio Nainggolan Budi Yasri Candra Yudhistira Chaerani Chusnia D. Kurniadi Damar Rastri Adhika Deddy Kurniadi Deddy Kurniadi Dudi Adi Firmansyah Dudi Darmawan Dyah A. Lestari E. Juliastuti Eka Susanty Endang Juliastuti Endang Juliastuti F. Fitria Farida I. Muchtadi Farida Muchtadi, Farida Fathul Khoiriyah Fauza K. Masyhuroh Fifi Veronica Firmansyah, Dudi Adi FIRMANSYAH, VERA Freddy Haryanto Galih Nadhova Gareta R., Ayu Gayuh Tentri Gianto Gianto H Susanti Hanifan Prafiadi Hanna Gunawan Hardianto Iridiastadi Hesty Susanti Hijazi, Rhakamerta Hilsa Iftikar Zahedi Sutalaksana Iftikar Zahedi Sutalaksana Irawati Dewi Syahwir IRWAN SETIAWAN Istianto, Yuki Jeffry Omega Prima Johanna Muliany Jos Budi Sulistyo Kamila Rofa Khairunnisa Ibadurrohman Khairul Amri Kusuma, Anak Agung Ngurah Ananda L.F. Wiranata Leonardo Gunawan, Leonardo Lulu L. Fitri Lulu Lusianti Malik Purnomo Hadi Masyhuroh, Fauza K. Muchtadi, Farida I. Narendra Kurnia Putra Nisrina Nur Husna Nugraha - Nugroho, Afid Nuki N. Hidajat Prasetyo, Febrian Angga PRIYATNA, ENDANG Purwanegara, Mustika Sufiati R. Michael Rayhan Putra Pratama Rida Zuraida Sabilla Rosadi Saeful Bahri Safira Humaira Sasanti T. Darijanto Setyono Koesno Siti Maisaroh Siti Maisaroh Suhardjo Sitam Sunarto, Setio Aji T Apriantono V. Nadhira Wijayaa, Yusuf Giri Yogantara, Wayan Wira Yudhi Diputra Yusuf Giri Wijaya