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Efficiency and energy modelling for PVT air collector with extended heat transfer area: a review Fudholi, Ahmad; Fazleena Musthafa, Mariyam; Taslim, Ivan; Ayu Indrianti, Merita; Noviantari Manyoe, Intan; Yusof Othman, Mohd
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 10, No 4: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (337.126 KB) | DOI: 10.11591/ijpeds.v10.i4.pp2029-2036

Abstract

Solar energy is renewable and environment friendly and has been widely used in electricity generation and thermal energy through photovoltaic thermal (PVT) system. This system is beneficial in terms of maximum energy generation and cost of usage. The growing concern on energy sources and their usage has increased the significance and demand for PVT collectors. A PVT air collector consists of a PV panel and a thermal collector system. In PVT air collector, electricity and thermal energy are generated simultaneously. This review focuses on efficiency and energy modelling for PVT air collector with extended heat transfer area. Findings of this review indicated that PVT air collector with extended heat transfer area produced PVT efficiency higher than conventional PVT air collector. The thermal efficiency of PVT air collector for with and without extended heat transfer area are 21-83% and 12-70%, respectively, which the improvement of thermal efficiency is 15.7-42.8%.
Heat transfer and efficiency of dual channel PVT air collector: a review Fudholi, Ahmad; Zohri, Muhammad; Taslim, Ivan; Aliyah, Fitrotun; Gani Koto, Arthur
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 10, No 4: December 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v10.i4.pp2037-2045

Abstract

Solar energy is free, renewable and environment friendly and has been widely used in electricity generation and thermal energy through photovoltaic thermal (PVT) system. A PVT collector is a combination of a PV panel and a thermal collector in a single unit to simultaneously generate electricity and thermal energy. In this review, mathematical models for dual channel PVT air collectors is presented. This review presents various research and development, as well as heat transfer and thermal modelling of dual channel PVT air collectors. Moreover, various mathematical models that evaluate the performances base on energy and exergy analysis of dual channel PVT air collectors are presented. Energy balance is the basic concept in developing the mathematical models. Generally, steady-state one-dimensional linear first-order differential equations were reported for solution of mathematical model. Energy and exergy efficiencies of dual channel PVT air collectors were 22.5%–67% and 3.9%-58%, respectively.
Morphological characteristics and electrical properties analysis of silica based on river and coastal iron sand Meiliyadi, Lalu Ahmad Didik; Wahyudi, Muh.; Damayanti, Isniwana; Fudholi, Ahmad
Jurnal Ilmiah Pendidikan Fisika Al-Biruni Vol 11 No 1 (2022): Jurnal Ilmiah Pendidikan Fisika Al-Biruni
Publisher : Universitas Islam Negeri Raden Intan Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/jipfalbiruni.v11i1.12390

Abstract

This study aims to analyze silica's morphological characteristics and electrical properties based on the river and coastal sand. Iron samples were taken from Sompang river sand, East Lombok and Coastal Sand from Gading, Mataram City. The silica was synthesized using the sol-gel method with a sintering temperature variation of 100 to 175 ℃. Morphological characteristics samples analysis was done using SEM-EDX. The electrical properties of iron sand included measuring the dielectric constant using the parallel plate method. Furthermore, the resistivity was measured using the two-point probe method. In the silica-based on river sand sample, the resistivity value was inversely proportional to the sintering temperature. In contrast, the resistivity value of silica based on the coastal sand sample was directly proportional to the sintering temperature. Silica-based on river sand has a resistivity of about 7.1'104 Wm at a sintering temperature of 100℃ and 3.5'104 Wm at a sintering temperature of 175℃. Silica-based on river sand has a resistivity of about 1.8'104 Wm at a sintering temperature of 100℃ and 7.1'104 Wm at 175℃. This research is a preliminary study on the electrical properties of natural sand-based silica to improve understanding of the physical properties of silica to be used in technological applications, such as sensors. Furthermore, the dielectric constant value in the river sand sample was directly proportional to the sintering temperature. However, the dielectric constant in the coastal sand sample was inversely proportional to the sintering temperature. Silica-based on river sand has a dielectric constant of about 1.02'102 at a sintering temperature of 100℃ and 1.18'102 at 175℃. Silica-based on coastal sand has a dielectric constant of about 1.97'102 at a sintering temperature of 100℃ and 1.15'102 at 175℃.
Pico hydro propeller turbine prototype experimental study for very low head applications Subekti, Ridwan Arief; Mohd-Zawawi, Fazila; Ismail, Kamarulafizam; Ishak, Iskandar Shah; Sudibyo, Henny; Susatyo, Anjar; Pikra, Ghalya; Radiansah, Yadi; Aziz, Amiral; Fudholi, Ahmad
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 16, No 1 (2025)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2025.1111

Abstract

There is a lot of untapped potential for low-head and very low-head (VLH) hydroelectric power in Indonesia. The challenge in developing VLH is that the locations are very difficult to access by vehicle. One example is in the interior of South Kalimantan Province, where it takes more than 12 hours to reach the location on foot. This paper discusses an experimental study of a pico hydro propeller turbine prototype for VLH applications which is suitable for use in remote areas of Indonesia. Its design is simple and lightweight, and it is made from PVC. The turbine's specifications include a power output of 250 W with a net head of 1.53 m. The turbine was designed with four different runner models, including variations in the number of blades and their geometric shapes. The runner models are type 1 and 2 with five and four blades, respectively, and type 3 (in a shallow configuration) and type 4 (in a steep configuration) with 3 blades. The generator used was a DC, 36 V, with a maximum power of 500 W, 2,500 rpm, and 1 phase. An AC lamp was used as the generator load, so an inverter from DC to AC was used in this test. The propeller turbine was tested in the laboratory. The experiments were conducted at various flow rates by adjusting the rotational speed of the supply pump and the electrical load using incandescent lamps. The test results are presented as graphs showing the relationship between flow rate and rotational speed, hydraulic and electrical power, and efficiency. The experimental results indicate that the turbine with a type 3 runner model featuring three blades in a gentle slope configuration has the highest efficiency, approximately 72.5 %.
Grey Wolf Optimizer-Neural Network Model for Indonesia Electricity Demand Prediction: Multi-Scenario Analysis and Performance Evaluation 2026-2034 Sofyan, Sofyan; Usman, Usman; Achmad, Alamsyah; Hadi Sirad, Mochammad Apriyadi; Fudholi, Ahmad; Sapari, Norazliani MD
PROtek : Jurnal Ilmiah Teknik Elektro Vol 12, No 3 (2025): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v12i3.10398

Abstract

Indonesia's rapid economic development and energy transition goals necessitate accurate long-term electricity demand forecasting to ensure supply security while optimizing infrastructure investments. This study addresses critical gaps in existing forecasting methodologies by developing a hybrid Grey Wolf Optimizer-Neural Network (GWO-NN) model specifically designed for emerging economy characteristics. While recent deep learning approaches (LSTM, CNN-LSTM) show promise for short-term forecasting, they often fail in long-term predictions due to limited adaptability to economic volatility and infrastructure constraints typical in developing nations. Our GWO-NN framework overcomes these limitations through intelligent hyperparameter optimization and multi-scenario modeling that captures Indonesia's unique socio-economic dynamics. The model incorporates 15 years of historical data (2010-2025) across seven key variables: GDP growth, population dynamics, temperature variations, industrial activity, urbanization rates, energy efficiency, and electrification progress. Rigorous validation against PLN's official projections reveals superior performance: Conservative scenario achieves exceptional 3.9% average absolute difference, Moderate scenario 19.0%, demonstrating significant improvement over traditional ARIMA models (35% error) and recent CNN-LSTM approaches (25% error). The 2034 demand projections range from 377.0 TWh (Conservative) to 546.1 TWh (Optimistic), providing policymakers with robust planning envelopes. This research contributes methodologically through hybrid metaheuristic optimization and practically through evidence-based planning support for Indonesia's renewable energy transition and carbon neutrality targets by 2060.
Oxygen/sulphur self-doped tunnel-like porous carbon from yellow bamboo for advanced supercapacitor applications Taer, Erman; Yanti, Novi; Putri, Rahma Lia; Apriwandi, Apriwandi; Martin, Awaludin; Julnaidi, Julnaidi; Chitraningrum, Nidya; Fudholi, Ahmad; Taslim, Rika
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 16, No 3: September 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v16.i3.pp2030-2042

Abstract

The 3D hierarchical pore structure with tunnel-like pores is essential to the performance of porous activated carbon (AC) materials used in symmetric supercapacitors. This study aimed to effect of adding (0.3, 0.5, and 0.7) M KOH reagent and heat treatment on the formation of 3D porous, tunnel-like AC derived from yellow bamboo (YB) through N2-CO2 pyrolysis at 850 °C. The AC produced had a high concentration of nanopores, becoming a valuable storage medium with favorable physical-electrochemical properties. The results showed that 0.5-YBAC had the best physical and electrochemical properties, with a carbon purity, 89.16%, micro crystallinity of 7.374 Å, and excellent amorphous porosity. Furthermore, 3D hierarchical pore structure, enriched naturally occurring heteroatoms, dopant of oxygen (10.14%) and sulfur (0.10%). A maximum surface area of 421.99 m² g⁻¹, along with a dominant combination of micro-mesopores. The electrochemical performance test of the 0.5-YBAC electrode showed a Csp of 214 F g⁻¹, with Esp 24.7 Wh kg⁻¹ and Psp 19.2 W kg⁻¹. In conclusion, this study showed the potential of YB stems to enhance the development of supercapacitors, offering superior porosity characteristics for efficient energy storage applications.
Performance Test of Coconut Shell Grinding Machine For Pyrolysis Process Novita, Sri Aulia; Santosa, Santosa; Nofialdi, Nofialdi; Andasuryani, Andasuryani; Fudholi, Ahmad
Journal of Applied Agricultural Science and Technology Vol. 8 No. 1 (2024): Journal of Applied Agricultural Science and Technology
Publisher : Green Engineering Society

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55043/jaast.v8i1.211

Abstract

Coconut shell is a solid waste of biomass from processed coconuts separated from the flesh. Coconut shells can be reprocessed into products of high economic value. Coconut shells can be processed for bio-oil production via high-temperature pyrolysis. In the pyrolysis process, the coconut shell raw materials are reduced in size to facilitate combustion. The aim of this research was to test the performance of the modified coconut shell grinding machine, determine the effect of water content on the milling process, achieve coconut shell sizes of 3, 5, and 10 mm to enhance the pyrolysis process, and analyze the economics of grinding machine engineering. The size reduction process was carried out using a custom-designed coconut shell grinder that was altered in its sieve section. The sieve sections had diameters of 10, 5, and 3 mm. The coconut shell to be ground had a moisture content of 8–10%. The grinding machine capacity varies with each size, namely 10 mm, 5 mm, and 3 mm, achieving throughput rates of 14.892 kg/h, 7.214 kg/h, and 2.94 kg/hour, respectively. The resulting yield was notably high, ranging from 95 to 96.780%, and the associated yield loss remained low, between 3.2% and 4.8%. During the material size tests, the working RPM was observed at 630.6 for 10 mm, 711.2 for 5 mm, and 1017.18 for 3 mm, and these RPM variations influence the grinding speed.
Comparative Study on NACA-9405, NACA-9503 and NACA-9506 Airfoil Profiled Blade Open-Channel Flow Cross-Flow Turbine Prakoso, Aji Putro; Piseno, Wirawan; Bisono, Damawidjaya; Saefudin, Deny Bayu; Fudholi, Ahmad; Rohman, Fikri Nur
Public Research Journal of Engineering, Data Technology and Computer Science Vol. 1 No. 1: PREDATECS July 2023
Publisher : Institute of Research and Publication Indonesia (IRPI).

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/predatecs.v1i1.833

Abstract

Several agricultural areas in Indonesia are classified as underdeveloped rural areas, and challenging to acquire electricity from the primary grid. On the other hand, some pico hydropower potentials can be found in agriculture, especially at the irrigation dam spillway flows. However, no such technology can convert the energy inside the water open-channel flow through dam spillways into electricity. Crossflow turbines (CFT) are expected to utilize dam spillways’ power due to their ability to convert the kinetic energy of water. Prior studies found that airfoil profile could slightly increase CFT efficiency and affect the interaction between water and turbine. Using planar two-dimensional computational fluid dynamics (CFD) numerical simulation analysis, the current study investigated the energy conversion phenomenon inside different open-channel CFT blade profiles. This study simulates CFT working at 3 meters of total head and 0.04 m3/s of water discharge put into the dam spillway’s downstream. The turbine blade profiled with the National Advisory Committee of Aeronautics (NACA) standard airfoil numbered 9405, 9503, and 9506 are being compared and investigated in the present study. CFD numerical analysis results show that the forward direction NACA airfoil profiled blades deliver better efficiency than the reversed one. These findings contradict the prior study’s results which tested airfoil profiled CFT working as usual with nozzle. This phenomenon indicated differences in the energy transfer process between open channel CFT and the ordinary CFT with a nozzle. Furthermore, current work finds that forward NACA-9503 CFT has a higher efficiency than other tested airfoil profiles, with 57.05% efficiency. In addition, the present study finds that the NACA-95XX airfoil has a more suitable chamber curve with the original CFT blade’s curve than the NACA-94XX airfoil by velocity triangle analysis. Then, the NACA-9503 profile is thinner than the NACA-9506 profile, which eases water flowing through the turbine blades.
Preparation of Polyacrylonitrile-Polyethersulfone Nanofibers Loaded with Reduced Graphene Oxide from Palm Kernel Shell forWastewater Filtration Dani, Rahma; Almafie, Muhammad Rama; Mataram, Agung; Lamura, M. Danny Pratama; Akhsan, Hamdi; Marlina, Leni; Fudholi, Ahmad; Ismail, Ahmad Fauzi; Sriyanti, Ida
Science and Technology Indonesia Vol. 11 No. 2 (2026): April
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/sti.2026.11.2.457-480

Abstract

The development of Polyacrylonitrile (PAN)–Polyethersulfone (PES) nanofiber membranes loaded with Reduced Graphene Oxide (rGO) offers an innovative and sustainable solution for water filtration. This study synthesized and characterized PAN–PES loaded rGO nanofiber membranes using an electrospinning technique. A PAN–PES mixture (8:2 mass ratio) at 10–20 wt% served as the matrix, with 48 mg of rGO added. The membranes were analyzed using scanning electron microscopy, Fourier-transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), mechanical testing, water absorption, immersion resistance, and clean water permeability (CWP). The resulting nanofibers exhibited defect-free, bead-free, and uniform morphology with diameters ranging from 389 to 757 nm. FTIR confirmed hydrogen bonding between PAN–PES and rGO, while XRD showed sharp peaks with a maximum crystallinity of 33.52%. The membrane displayed a Young’s modulus of 57.83 MPa and remained stable after 32 days of immersion. It demonstrated superhydrophilic behavior with a contact angle of 72.4o to 74.3o, sustaining a stable water flux at 6.0 bar for 60 min, yielding a permeability of 3.25 to 23 L/m2.h.bar and an equilibrium water content of 69 to 91%. Surface morphology before and after wastewater filtration revealed effective contaminant capture and strong antifouling resistance. These results confirm that PAN–PES loaded rGO nanofiber membranes possess excellent mechanical stability, high permeability, and superior wettability, providing a promising pathway for advanced, sustainable water filtration applications.
Effectiveness of Solar System Scope-Assisted PBL on Kepler Law Material Integrated with Al-Quran to Improve Student Learning Outcomes Khairiah Khairiah; Hajar Mawaddah; Lia Afriyanti Nasution; Ahmad Fudholi; Mohd Awang Kechik; M. Khadafi Somwong
Jurnal Penelitian Pendidikan IPA Vol 10 No 9 (2024): September
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i9.8618

Abstract

This research is motivated by the low ability of students to understand physics subjects which are considered difficult, including the difficulties experienced namely visualizing subject matter which requires learning models and media as support to improve student learning outcomes. This research was conducted at MA Muallimin UNIVA Medan, by applying the Problem Based Learning (PBL) learning model assisted by Solar System Scope media on Kepler law material integrated with the Koran which is used in the learning process to improve student learning outcomes. The research method used is experimentation which is a type of quantitative research in class X MIA 1 as an experimental class with a Probe Based Learning (PBL) learning model. The sample was taken using a purposive sampling technique. The instrument used is a written test (essay) with 10 questions. It is known that the pretest and posttest data are normally distributed with a significance value of Experimental Pretest (0.078), Experimental Posttest (0.130), Control Pretest (0.200), Control Posttest (0.052) and are declared homogeneous with a significance value of Based on Mean (0.245) where the test value normality and homogeneity exceed (>) the real level used in the measurement, namely α = 0.05 or 5%. With the help of SPSS it is known that the average learning outcomes of students in the experimental class (83.07) are higher than those in the control class (79.90) so it can be concluded that the hypothesis is accepted and the average of the experimental class is stated to be better than the average of the control class. As for the effectiveness of the experimental class with the PBL (Problem Based learning) model, it was 76.6% and the control class with the Direct Instruction learning model was 54.4%, where the experimental class was declared effective and the control class was declared less effective.
Co-Authors - Andasuryani Abrar Ridwan Abu Bakarr Momodu Bangura Achmad, Alamsyah Adnan Ibrahim Agung Mataram Agus Junaedi Agus Risdiyanto Agus Risdiyanto Ahmad Fauzi Ismail Ahmad Fazlizan Abdullah Ahmad Rajani Ahmad Rajani Ahmad Rajani Ahmad, Nasarudin Ahmed Mohamed Omer Abdulmula Ahyar Ahmad Almafie, Muhammad Rama Amanda Halim Amiral Aziz Andri Joko Purwanto Andri Setiawan Anjar Susatyo Anjar Susatyo Ant. Ardath Kristi Ant. Ardath Kristi Anwar Anwar Anwar Muqorobin Ari Pani Desvina Ari Pani Desvina Arief Sudarmaji Arief Wisaksono Arifin, Muhammad Subhan Asep Rachmat, Asep Awaludin Martin Azizatun Nikmah, Nur Sani Bahtiar Bahtiar Bahtiar, Bahtiar Bambang Susanto Bambang, Muhammad Refo Bangura, Abu Bakarr Momodu Bisono, Damawidjaya Budi Prawara Budi Prawara Chan Hoy Yen Cheku Nurul Aisyah Chitraningrum, Nidya Cintopa Satria Adepradana Cipta Endyana Dalila Mat Said Dalmasius Ganjar Subagio Damayanti, Isniwana Dani, Rahma Darussalam, Rudi David Setiawan Desy Kartina Devita Utami Mardiani Dewi Jannati, Eidelwei Dian Andriani Engkos Koswara Erie Martides Erman Taer Erwin Susanto Fachrurrazi Burhanuddin Fachry Abda El Rahman Faisal Mahfud Fazleena Musthafa, Mariyam Fitrotun Aliyah Galih R, Sayid Ghalya Pikra Goh Li Jin Hadi Sirad, Mochammad Apriyadi Hajar Mawaddah Hamdi Akhsan Hanny Hafiar Hardani, H Harjono P. Santosa Harningsih Karim Hartono Hartono Hartono Hartono Haryadi Haryadi Hasna Rifdah Khairunnisa Hasnah Natsir Hazim Moria Haznan Abimanyu Haznan Abimanyu Hendri Maja Saputra Herawati Budiastuti Hernimawati Hernimawati Heru Prasetyo Husam Abdulrasool Hasan Ida Sriyanti Indah Raya Intan Noviantari Manyoe Irfandi, Rizal Irfansyah, Ade Ishak, Iskandar Shah Ismail, Kamarulafizam Isniwana Damayanti Ivan Taslim Izza Anshory Jalal Assadeg Jamaaluddin Jayawarsa, A.A. Ketut Julnaidi, Julnaidi Junaedi, Agus Kadek Heri Sanjaya Kamaruzzaman Sopian Kamaruzzaman Sopian Kamaruzzaman Sopian Kamaruzzaman Sopian Kamaruzzaman Sopian Khairiah Khairiah Kholidil Amin Komarudin, Udin Koto, Arthur Gani Kristi, Ant. Ardath Lady Silk Moonlight Lalu Ahmad Didik Meiliyadi Lalu Darmawan Bakti, Lalu Darmawan Lamura, M. Danny Pratama Leni Marlina Lia Afriyanti Nasution Lim Chin Haw M. Khadafi Somwong Majid Khan Bin Majahar Ali Majid Khan Bin Majahar Ali Majid Khan Majahar Ali Mardiansah, Fajril Mariyam Fazleena Musthafa Mariyam Fazleena Musthafa Mat Said, Dalila Mega Fatimah Rosana Merita Ayu Indrianti Moch. Rifai Moch. Rifai Mohammad Hossein Yazdi Mohd Awang Kechik Mohd Hafidz Ruslan Mohd Hafidz Ruslan Mohd Hafidz Ruslan Mohd Yusof Othman Mohd-Zawawi, Fazila Mohd. Tahir Ismail Muh. Wahyudi Muhammad Zohri Muhammad Zohri Muhammad Zohri Muhammad Zohri Muhammad Zohri Muhammad Zohri Muhammad Zohri, Muhammad Muhammad Zurhalki Mukhtar Mukhtar Mulianti Muslizainun Mustapha Mustaji Mustaji Mustapha, Muslizainun Nasarudin Ahmad Naseem Akhtar Nilofar Asim Nira Aulia Hanifah Nofialdi, Nofialdi Nofialdi, Nofialdi Noorden, Zulkarnain Ahmad Noviadi A. Rachman Noviadi Arief Rachman Novita Vindri Harini Nugroho, Muhammad Very Nur Farhana Mohd Razali Nur Farhana Mohd Razali Nurato Nurul Shahirah Binti Rukman Nurul Shahirah Binti Rukman Nurul Shahirah Binti Rukman Nurul Shahirah Rukman Nurul Syakirah Nazri PERDANA PUTERA Pierre Damien Uwitije Piseno, Wirawan Pola Risma Prakoso, Aji Putro Prastawa, Andhika Prastowo , Ari Agung Putri Adia Utari Putri, Rahma Lia Putu Yudhistira Budhi Setiawan Radiansah, Yadi Rahmadeni Rahmadeni Rajani, Ahmad Rakhmad Indra Pramana RD Kusumanto Rezavidi, Arya Ridho Hantoro Ridho Hantoro Ridwan Abdurrahman Ridwan Arief Subekti Ridwan Arief Subekti Ridwan Arief Subekti Ridwan Arief Subekti rifa'i, Muhammad Rika Taslim Rohman, Fikri Nur Rudi Darussalam Rusdianasari Rusdianasari Rusdianasari Rusdianasari Rusman Rusman Sa'adah, Nila Saefudin, Deny Bayu Sakuraba, Takahiro Saleem H. Zaidi Salnus, Subakir Santi Santi Santosa Santosa Santosa Sapari, Norazliani MD Saprizal Hadisaputra Sastra Kusuma Wijaya Satibi Satibi Setiyo Setiyo Sevia Mahdaliza Idrus Sohif Mat Sohrab Mirsaeidi Soleh, Asep Muhamad Sopian, Kamaruzzaman Sri Aulia Novita Stephen Phillips Sudibyo, Henny sudirman palaloi sudrajat sudrajat Suhanto Sukarwoto Surya Dailiati Susatyo, Anjar Syamsul Kurniawan Tinton Dwi Atmaja Tinton Dwi Atmaja Tinton Dwi Atmaja Tresna Dewi Tri Suyono Uce Lestari Uce Lestari Usman Usman Uwitije, Pierre Damien Wahid, Mazlan Abdul Wahyudi, Muh. Wan Nurlaila Mat Desa Wan Nurlaila Yusra Mat Desa Yasin, Mohd Fairus Mohd Yendra, Rado Yurni Oktarina Yusof Othman, Mohd Yuyun Suprapto Zahira Yaakob Zainal Ahnur Zauhari, Azi Zeki Ahmed Darwish Zulfatri Aini