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All Journal Jurnal Teknologi Perikanan dan Kelautan Marine Fisheries: Jurnal Teknologi dan Manajemen Perikanan Laut Jurnal Ilmu dan Teknologi Kelautan Tropis Seminar Nasional Aplikasi Teknologi Informasi (SNATI) ILMU KELAUTAN: Indonesian Journal of Marine Sciences Saintek Perikanan : Indonesian Journal of Fisheries Science and Technology POSITRON Jurnal Keteknikan Pertanian Jurnal Kelautan : Indonesian Journal of Marine Science and Technology Jurnal Kelautan Tropis Jurnal Teknik Sipil Journal of Geoscience, Engineering, Environment, and Technology Journal of Applied Geospatial Information JURNAL ENGGANO Omni-Akuatika BULLETIN OF THE MARINE GEOLOGY Jurnal Otomasi Kontrol dan Instrumentasi Marine Research in Indonesia Bawal : Widya Riset Perikanan Tangkap Jurnal Kelautan Nasional International Journal of Remote Sensing and Earth Sciences (IJReSES) Jurnal Geologi Kelautan: Media Hasil Penelitian Geologi Kelautan Jurnal Riset Jakarta Jurnal Chart Datum Jurnal Risalah Kebijakan Pertanian dan Lingkungan Jurnal Nasional Teknik Elektro dan Teknologi Informasi TRANSPUBLIKA INTERNATIONAL RESEARCH IN EXACT SCIENCES (TIRES) Jurnal Rekayasa elektrika Depik Jurnal Ilmu-Ilmu Perairan, Pesisir dan Perikanan Policy Brief Pertanian, Kelautan, dan Biosains Tropika Depik Jurnal Ilmu-Ilmu Perairan, Pesisir, dan Perikanan Journal of Fisheries & Marine Jurnal Perikanan The International Journal of Remote Sensing and Earth Sciences (IJReSES)
Henry Munandar Manik
Departemen Ilmu Dan Teknologi Kelautan, Fakultas Perikanan Dan Ilmu Kelautan, IPB University, Bogor, 16680, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology 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 Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Mathematics Physics Social Sciences Other

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DESIGN AND IMPLEMENTATION OF PIEZOELECTRIC TRANSDUCER TO IMPROVE FISHING EFFICIENCY ON BAGAN BOAT Muhammad Ilham; Manik, Henry M.; Rahmat, Ayi
Marine Fisheries : Journal of Marine Fisheries Technology and Management Vol. 16 No. 1 (2025): Marine Fisheries: Journal of Marine Fisheries Technology and Management
Publisher : Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jmf.v16i1.59780

Abstract

The decline in fish catches among bagan boats in Labuhan Jambu, Sumbawa District, is caused by overfishing, illegal fishing, and climate change. To address this issue, technological innovations such as sonar systems that emit acoustic signals to attract fish are necessary. This study aims to design piezoelectric transducers and transmitter drivers capable of emitting acoustic frequencies that effectively attract fish around bagan boats, thereby increasing catch yields. The methodology included system design, fabrication, and testing. The developed transducer operates across a frequency range of 1–75 kHz, and field tests were carried out by installing the transducer beneath the bagan boat. Results indicated that fish responded quickly to frequencies between 500–800 Hz, as evidenced by the appearance of bubbles on the water surface, suggesting fish presence. The main species caught included pelagic fish, skipjack, and squid. Fish catches increased by approximately 2–3 times compared to conventional methods. The transducer and transmitter driver using piezoelectric materials were successfully developed and functioned effectively. The final prototype was capable of emitting acoustic frequencies from 1 Hz to 100 kHz. This innovation demonstrates the potential of piezoelectric transducer technology to significantly enhance fish catches in bagan boat operations in Labuhan Jambu. Keywords: Driver transmitter, bagan boat, piezoelectric, transducer
Acoustic target strength measurement of striped goatfish (Upeneus vittatus) Purnawan, Syahrul; Manik, Henry M; Hestirianoto, Totok; Amri, Khairul; Prasetiawan, Agung; Syahrin, Win Alfi; Husal, Siddiq Husaini; Faaris, Said M; Hawari, Aqil
Depik Vol 14, No 1 (2025): MARCH 2025
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/depik.14.1.44269

Abstract

The Striped Goatfish (Upeneus vittatus) is a demersal species of significant ecological and economic value, particularly for small-scale fisheries in Aceh Province. Accurate biomass estimation and species identification in hydroacoustic surveys rely heavily on precise target strength (TS) reference values. This study aimed to establish reference TS values for U. vittatus by examining the relationship between TS and fish morphology. Specimens collected from northern Aceh waters were measured for total length (TL: 17.328.3 cm) and weight (W, g). TS measurements were conducted using a single-beam echosounder (Simrad EK15) operating at 200 kHz with a pulse duration of 0.16 ms in a controlled water-tank environment. This approach enabled the assessment of TS variability across specimens with different TLs. A robust relationship between TL and weight revealed positive allometric growth (b = 3.2932, R = 0.94) in the study. Furthermore, TS analysis demonstrated a logarithmic increase with TL (R = 0.6459), in alignment with theoretical predictions. These findings contribute to more accurate biomass estimation and support sustainable management strategies for U. vittatus populations in northern Aceh, Indonesia. Future research should encompass a broader range of fish sizes and incorporate additional biological variables to refine TS prediction models further.Keywords:GoatfishAcehLWRTSMullidae
Relationship between water mass characters to Sound velocity profiler (SVP) in the Sulawesi Sea Agustinus, Agustinus; Pranowo, Widodo Setiyo; Manik, Henry Munandar; Rahmatullah, Amri; Aji, Tri
Depik Jurnal Ilmu Ilmu Perairan, Pesisir, dan Perikanan Vol 12, No 3 (2023): DECEMBER 2023
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/depik.12.3.32296

Abstract

The Sulawesi Sea is the western entry point of the Indonesian throughflow, which brings water masses from the Pacific Ocean. This study aims to describe the relationship between water mass characteristics and Sound Velocity Profiler (SVP) in the Sulawesi Sea based on Marine Copernicus data from 2022 with a depth of up to 500 meters. Temperature and Salinity data were used to obtain water mass types from the Tpot-S diagram based on Emmery's classification and Sound Velocity Profiler (SVP) based on the Medwin empirical equation. The temperature, salinity, and SVP data were visualized using ODV 5.6.2 software. The data processing results have identified several water mass characteristics that are believed to be influenced by the Eastern North Pacific Central Water (ENPCW) water mass type found at depths ranging from 130 to 318 meters, Western North Pacific Central Water (WNPCW) water mass found at depths ranging from 130 to 500 meters, Eastern South Pacific Central Water (ESPCW) water mass found at depths ranging from 92 to 453 meters, and Western South Pacific Central Water (WSPCW) water mass found at depths ranging from 130 to 500 meters. The ENPCW water mass type on average has a smaller difference in SVP values compared to the WNPCW water mass type. Meanwhile, the ESPCW water mass type on average has a greater difference in SVP values compared to the WSPCW water mass type. The results indicate a positive relationship between temperature and SVP, meaning that the higher the temperature, the higher the SVP. However, there is a negative relationship between salinity and SVP, meaning that the higher the salinity, the lower the SVP.Keywords:Water MassTemperatureSalinitySound VelocitySulawesi Sea
Klasifikasi Gelembung Gas Menggunakan Multibeam Echosounder dan Machine Learning Rabbani, Mochamad Rafif; Manik, Henry Munandar; Hestirianoto, Totok
Jurnal Kelautan Tropis Vol 28, No 2 (2025): JURNAL KELAUTAN TROPIS
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jkt.v28i2.26778

Abstract

The urgency of detecting gas bubbles in the water column is crucial in various fields, ranging from environmental monitoring to detecting underwater gas leaks. One method that can be used to detect gas bubbles is the Multibeam Echosounder. However, processing Multibeam Echosounder data is prone to human error and inefficient in terms of time, necessitating a more practical approach, such as utilizing Artificial Intelligence, specifically Machine Learning. This study aims to classify gas bubbles using Multibeam Echosounder and Machine Learning and determine the best algorithm. The acquired acoustic data were first processed using FMMidwater Fledermaus software for feature extraction and depth analysis in the water column, followed by target tagging on the echogram as a visual labeling process for Machine Learning model input. Three algorithms were tested: Random Forest, K-Nearest Neighbor, and Support Vector Machine. Model evaluation was conducted using a confusion matrix to generate accuracy, F1-score, and kappa coefficient values. The evaluation results showed that the Random Forest algorithm achieved the highest accuracy of 89.02%, followed by Support Vector Machine with 86.76% and K-Nearest Neighbor with 85.41%. These findings demonstrate that the Machine Learning approach effectively classifies gas bubbles in the water column and distinguishes them from other objects in the water column.   Kepentingan pendeteksian gelembung gas di kolom air menjadi urgensi dalam berbagai bidang, misalnya dalam pemantauan lingkungan hingga deteksi kebocoran gas bawah laut. Salah satu metode yang dapat digunakan dalam mendeteksi gelembung gas adalah dengan menggunakan Multibeam Echosounder. Namun, pengolahan data Multibeam Echosounder rawan terjadi human error dan tidak cukup efisien dalam skala waktu, sehingga diperlukan metode praktis dalam pengolahan data Multibeam, salah satunya adalah dengan menggunakan bantuan Artificial Intelligence, yaitu Machine Learning. Penelitian ini bertujuan untuk mengklasifikasikan gelembung gas dengan menggunakan Multibeam Echosounder dan Machine Learning, serta menentukan algoritma terbaik. Data akustik yang telah diakusisi diolah terlebih dahulu dengan bantuan perangkat lunak FMMidwater Fledermaus untuk ekstraksi fitur dan kedalaman objek di kolom air, serta proses tagging target pada echogram sebagai proses pelabelan secara visual untuk input pada model Machine Learning. Terdapat tiga algoritma yang diuji, yaitu Random Forest, K-Nearest Neighbor dan Support Vector Machine. Evaluasi model menggunakan confusion matrix untuk menghasilkan nilai akurasi, F1-Score dan koefisien kappa. Evaluasi performa model menunjukkan algoritma Random Forest memiliki nilai akurasi tertinggi yaitu 89.02 % diikuti oleh Support Vector Machine dengan akurasi 86.76% dan K-Nearest Neighbor dengan akurasi 85.41%. Hasil ini membuktikan bahwa pendekatan Machine Learning mampu mengklasifikasikan gelembung gas di kolom air serta dapat membedakannya terhadap objek lain di kolom air
Seabed Geoacoustic Analysis Using Scientific Single Beam Echosounder La Elson, La Elson; Manik, Henry M. Manik; Hestirianoto, Totok Hestirianoto; Pujiyati, Sri Pujiyati
Jurnal Ilmiah Perikanan dan Kelautan Vol. 17 No. 1 (2025): JURNAL ILMIAH PERIKANAN DAN KELAUTAN
Publisher : Faculty of Fisheries and Marine Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jipk.vi.55832

Abstract

Graphical Abstract   Highlight Research Hydroacoustic technology was used to identify seabed substrates in real-time with the Simrad EK-15 Single Beam Echosounder. Acoustic backscatter analysis classified seabed substrates into 9 sediment types, with reflection values ranging from -28.03 dB to -20.02 dB. Machine learning models (k-NN and Random Forest) achieved 98.21% and 96.43% accuracy, enabling faster sediment classification than conventional methods. Geoacoustic analysis revealed sound speed, sediment density, acoustic impedance, and reflection coefficients, defining the physical properties of the seabed. This study supports coastal engineering, marine habitat conservation, and underwater geological mapping more effectively and efficiently.     AbstractHydroacoustic technology was able to quantify the seabed substrate and can be estimated accurately and near real time on the acoustic characters of each substrate. The purpose of the research was to identify the geoacoustic characteristics and spatial mapping of the seabed substrate in Lancang Island. Acoustic data was acquired using a Simrad EK-15 Single Beam Echosounder instrument operating at 200 kHz. Sediment samples were taken using an Ekman grab, which will be used to validate the acoustic data. The results of this study indicated that the acoustic backscatter values of the seabed substrate based on the surface backscattering strength value and sediment particle size at fourteen sampling stations are -28.03 decibels to -20.02 decibels divided into 9 sediment type groups, namely medium and very coarse sand mixture; medium sand; medium, fine and coarse sand mixture; medium and fine sand mixture; fine and medium sand mixture; medium and very fine sand mixture; very fine and medium sand mixture; fine and very fine sand mixture; and fine sand. The accuracy level of k-Nearest Neighbour and Random Forest computational used has very good accuracy of 98.21 % and 96.43 % and Naevi Bayes has a lower accuracy of 58.93 %. The identified geoacoustic characteristics included the mean grain size, sound speed, density, acoustic impedance, and reflection coefficient. Faster, more effective, and efficient computational processes with high accuracy make k-Nearest Neighbour and Random Forest models the best alternative to be used as geoacoustic computational models of seafloor substrates.
Oceanographic Characteristics in the Three International Indonesian Archipelago Sea Lanes (IASLs) Region: Implications for Underwater Acoustics System Putra, I Wayan Sumardana Eka; Atmadipoera, Agus Saleh; Manik, Henry Munandar; Harsono, Gentio; Purwandana , Adi
Jurnal Ilmiah Perikanan dan Kelautan Vol. 17 No. 2 (2025): JURNAL ILMIAH PERIKANAN DAN KELAUTAN
Publisher : Faculty of Fisheries and Marine Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jipk.v17i2.56045

Abstract

Graphical Abstract Highlight Research The IASL-1 entry portal in the southern and northern regions shows the emergent SOFAR channels. The shadow zone and the existence of a SOFAR deep sound channel in the IASL-2 and IASL-3 routes can be triggered by the emergent “saddle” SVP pattern.  The variability seasonally and interannually due to variations in seawater properties stratification plays an important role in SOFAR channel appearances in IASLs. The diverse oceanographic characteristics of IASLs necessitate the implementation of sustainable marine geospatial data. Abstract Indonesian Maritime Continent (IMC) is responsible for the three international sea lanes, known as Indonesian Archipelago Sea Lanes (IASLs), which allowed ships to navigate across territorial waters between Pacific and Indian Oceans and vice versa. Gaining knowledge about the distinct oceanographic characteristics of the three IASLs can offer valuable insight into maritime safety and sustainable marine resource management. Therefore, this research aims to review oceanographic characteristics in IASLs regions from available previous research to provide a comprehensive insight into the processes and dynamical oceanography in IASLs region as well as determine the implications for underwater acoustic patterns. The results showed that IASL-1 route is characterized by a shallow shelf passage with homogeneous sound velocity profile (SVP), which has a deep and narrow entry portal in the southern and northern Sound Fixing and Ranging Channel (SOFAR) channels. Seasonal reversal monsoonal wind-driven current dominates the circulation. IASL-2 and IASL-3 routes transported a deep and narrow passage with complexity of seaair interactions that vary on seasonal and interannual time scales. These IASLs were established with the saddle SVP, which trigger the shadow zone and the existence of SOFAR deep sound channel with seasonal and interannual variations in seawater properties stratification. The diverse oceanographic characteristics discussed significantly influence the underwater object detection equipment, the planning time, and the strategies for underwater defense systems. Due to the implications, it is necessary to use marine geospatial database, which may be adopted to facilitate policy-making, providing approximations for marine activities and management along IASLs.
Pengembangan dan Uji Kinerja Sistem Siber Fisik Refrigerasi Pada Kapal Ikan: Optimizing Fisheries Operations through Real-Time Monitoring and Cyber-Physical System Integration Suhengki, Gemma Cahya Hafifah Suhengki; Jaya, Indra; Manik, Henry Munandar
Jurnal Keteknikan Pertanian Vol. 12 No. 2 (2024): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.012.2.204-213

Abstract

The rapid advancement of technology in the contemporary era has inspired individuals to contemplate more efficient and appropriate technologies, that potentially offer substantial benefits for many applications. Among these progressive technologies are the Internet of Things (IoT) and Cyber-Physical Systems (CPS). This research aims to develop a cyber-physical system for the supervision and regulation of refrigeration systems for fishing vessels via smartphones. This approach is seamlessly integrated into the fishing industry to enhance operational efficiency and optimize the preservation of fishery products. We have successfully applied IoT and CPS technologies for effective monitoring and control of the refrigeration system. In evaluating the accuracy of this application, two sensors were employed for analysis, specifically the primary temperature sensor and the reference temperature sensor. The principal yardstick for assessing measurement accuracy in this research is the standard deviation in sensor readings. The research findings reveal that the measured data from the primary temperature sensor and reference temperature sensor demonstrates a minimal standard deviation, signifying a high level of measurement precision. The expected outcome of implementing this system is the capability to regulate and monitor the refrigeration system, thus enabling fishermen to minimize losses in the fishery production process and elevate the quality of fishery products.
Performance profile of Cold Storage Using R32 as Refrigerant for Traditional Fishing Boat with Photovoltaic as Energi Source Suhengki, Suhengki; Manik, Henry Munandar; Hartulistiyoso, Edy; Sumantri, Willi; Yulianto, Muhamad
Jurnal Keteknikan Pertanian Vol. 12 No. 2 (2024): Jurnal Keteknikan Pertanian
Publisher : PERTETA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19028/jtep.012.2.184-203

Abstract

This paper discusses the performance of cold storage using R32 refrigerant. R32 is one of the recommended refrigerant with the main advantage low ODP and GWP (Global Warming Potential) value of around 0 and 675. However, because of this refrigerant classified as a new refrigerant, the implementation is limited to air conditioning and heat pump. In this paper, R32 will be tested for cold storage applications. The cold storage performance will be studied about the achieved temperature, power consumption, cooling capacity and Coefficient of Performance without load. The testing was carried out in 2 ways, cold storage testing on a lab scale and direct testing on a 5 GT fishing boat. The performance results show that both tests on a lab scale and tests directly on a fishing boat without a load can reach a cold storage room temperature of -18oC. Meanwhile, the compressor power consumption supplied by photovoltaic is 0.653-0.776 kW. Based on the test results, shows that R32 has a positive possibility of being applied to cold storage.
Underwater Acoustic Propagation using Monterey-Miami Parabolic Equation in Shallow Water Kayeli Bay Buru Distric Lalita, Rayi Khasanah; Manik, Henry M; Brojonegoro, Irsan S
Journal of Applied Geospatial Information Vol. 7 No. 2 (2023): Journal of Applied Geospatial Information (JAGI)
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jagi.v7i2.2802

Abstract

Indonesia's geographical position is an advantage compared to other countries, both in terms of geoeconomics, geopolitics and geostrategy. For this reason, it is necessary to develop and use acoustic methods to describe underwater features, carry out underwater communications or to measure oceanographic variables at sea. This research was intended to provide an analytical and visual graphical description with the aim that it can be used for various purposes both in the research, military and other marine fields, as well as to analyze the influence of sediment and different frequencies on acoustic propagation patterns in shallow waters of Kayeli Bay. This research was conducted using CTD data from Kayeli Bay, which is a body of water in Buru Regency, Maluku Province and is located between 3° 15' 55'' "“ 3° 22' 50" S and 127° 01'35" "“ 127° 01' 35 "E, using the Monterey-Miami parabolic equation method using 4 types of sediment and 3 different frequencies as model input. From the results of this research it can be concluded that the propagation of sound waves in shallow seas is greatly influenced by the type of sediment and frequenty used. Changes in acoustic impedance at the bottom of the water and within the water column can significantly influence the behavior of acoustic waves in shallow water environments, and accurate acoustic impedance data are critical for effective ray tracing modelling.
ANALISA PROFIL DASAR LAUT DAN KARAKTERISTIK SEDIMEN MENGGUNAKAN MULTIBEAM ECHOSOUNDER DI PERAIRAN JAKARTA asmoro, nuki widi; Manik, Henry Munandar; Umam, Choirul; azhari, Ferian; Pranowo, widodo setiyo; Kurniawan, Muhammad Azis; Setiyadi, Johar; Prihantoro, Andi Exyas
JURNAL GEOLOGI KELAUTAN Vol 22, No 1 (2024)
Publisher : Pusat Penelitian dan Pengembangan Geologi Kelautan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32693/jgk.22.1.2024.843

Abstract

Profil dan karakteristik sedimen dasar laut menjadi informasi penting dalam kegiatan pengerukan alur Pelabuhan. Dasar sedimen yang bervariasi dan area pengerukan yang luas harus dapat dipetakan, serta dianalisa secara tepat agar memudahkan kegiatan pengerukan. Teknologi multibeam echosounder(MBES) dapat digunakan untuk mendeteksi kedalaman dan merekam data pantulan dasar laut, yang kemudian diproses menjadi mozaik pantulan sehingga membantu mengidentifikasi jenis dan morfologi dasar laut. Penelitian ini dilaksanakan di alur Pelabuhan Rukindo perairan Jakarta yang merupakan ordo khusus dengan kedalaman bervariasi. Penelitian ini dilakukan menggunakan data in situ MBES dengan menganalisis nilai hamburan balik (backscatter) metode Angular Range Analysis dan Sediment Analysis Tools (ARA&SAT) dimana hubungan hamburan balik sangat erat dengan ukuran butiran sedimen. Validasi dilaksanakan dengan pengambilan sedimen, menggunakan grab sample sebanyak 12 titik di area penelitian, kemudian melaksanakan pengujian contoh sedimen di laboratorium untuk menghasilkan klasifikasi sedimen skala wenthworth. Penelitian ini bertujuan untuk memberikan gambaran hasil pengujian sedimen dengan nilai backscatter MBES dan hasil penelitian ini diharapkan menjadi dasar pengklasifikasian sedimen halus berdasarkan nilai backscatter di laut Jakarta. Hasil dari penelitian ini didapatkan nilai intensitas sedimen dari backscatter MBES antara -15 db s.d -30 db dengan 3 klasifikasi sedimen yang didominasi oleh sedimen pasir halus. Berdasarkan nilai backscatter MBES diharapkan diketahui klasifikasi jenis sedimen sehingga berkontribusi untuk perencanaan pengerukan alur pelabuhan terkait dengan jenis substrat bawah laut sehingga kegiatan pengerukan dapat dilakukan dengan aman dan efektif.
Co-Authors . Susilohadi Adhi Kusuma Negara Adi Purwandana Adi Purwandana Aditya P. Sidiq Adrianus, Aldwin Agung D. Syakti Agus Atmadipoera Agustina Sartika Yos Ekaristi Manik Agustinus Agustinus Alajuri, M Hasbi Sidqi Alfrida Romauli Amanda Astri Pratiwi Febrianti Anang P. Adi Anang Prasetia Adi Anang Prasetia Adi Andi Achmadi Andi Yaodi Nurani Yamin Angga Dwinovantyo Angga Dwinovantyo Ari Wahyudi Ari Wahyudi Asep Ma'mun Asep Ma’mun Asep Priatna Asmoro, Nuki Widi Augy Syahailatua Azhari, Ferian Bagas O. Siahaan Bernawis, Lamona Irmudyawati Billi R Kusumah Billi Rifa Kusumah Brojonegoro, Irsan S Catur Purwanto, Catur Choirul Umam, Choirul Christian Nugroho Dadang Handoko Deddy Bakhtiar Djoko Hartoyo Domey Moniharapon Dony Apdillah Dwi Charnila Dwiadji Gultom Edi Kusmanto Edy Hartulistiyoso Elson, La Faaris, Said M Fahrulian Fahrulian Fahrulian Fahrulian Fahrulian Fahrulian Fathkhurozak Yunanda Rifai Firdaus, Randi Fredrich Simanungkalit Gentio Harsono Gentio Harsono Handoko, Dadang Haqqu Ramdhani Hargiani, Fransisca Xaveria Hasan, Rozaimi Che Hascaryo, Anom Puji Hawari, Aqil Hawis H Madduppa Hendra Jayanto Hendra Jayanto Henry Andriadi Hestirianoto, Totok Hestirianoto, Totok Hestirianoto Hollanda Arief Kusuma Husal, Siddiq Husaini I Wayan Sumardana Eka Putra Imam Mudita Indah Nurkomala Indra Jaya Indra Jaya Indra Jaya Indra Jaya Indra Jaya Indra Jaya Irsan Soemantri Brodjonegoro Ita Wulandari Jales Veva Jaya Johar Setiyadi Junaedi, Liva Kang, Myounghee Karlisa Priandana Khairul Amri Kirana, Widiah Dwi Krisna Rendi Awalludin Kurniawan , Muhammad Aziz Kurniawan, Muhammad Azis Kusdiana, Dias La Elson, La Elson Lalita, Rayi Khasanah Larasati, Oktavira Dwi Demia Lazuardi, Muhammad Nur Riza Lili Somantri Liva Junaedi M. Agung Sedayu M.Rizal Keulana Manik, Agustina Sartika Muhamad Yulianto Muhammad Farhan Muhammad Firdaus MUHAMMAD ILHAM Muhammad Reza Cordova, Muhammad Reza Muhammad Sanubari Muhammad Siddiq Sangadji Muhammad Zainuddin Lubis Muhammad Zulfikar Muharrom, Eka Yudha Myounghee Kang Nainggolan, Tumpal Bernhard Napitupulu, Gandhi Napitupulu, Moses Nazar Nurdin Negara, Adhi K. Nugroho, Bimo Aji Nur Fitria, Hanita Pamalik, Aulia Ranggi Prasetiawan, Agung Prihantoro, Andi Exyas Pujiyati, Sri Pujiyati Purwandana , Adi Putra, I Wayan Sumardana Eka R. Yanuar H. P Rabbani, Mochamad Rafif Radjawane, Ivonne Milichristi Rahmat, Ayi Rahmatullah, Amri Ratna Juita Sari Rina Fajaryanti Rina Nurkhayati Rina Zuraida Rizqi Ayu Farihah, Rizqi Ayu RR. Ella Evrita Hestiandari Saifur Rohman Setiyadi, Johar Setyanto, Agus Situmorang, Edriyan Sofyatuddin Karina Sri Pujiyati Steven Solikin Subarsyah Subarsyah Subarsyah Subarsyah Subarsyah Subarsyah Suhengki, Gemma Cahya Hafifah Suhengki Suhengki, Suhengki Sukoco, Nawanto Budi Sumantri, Willi Supriyanto, Taufiq Susilo Hadi Susilohadi Susilohadi Susilohadi Susilohadi Susilohadi Susilohadi Susilohadi Susilohadi Susilohadi Susilohadi Susilohadi Syahrin, Win Alfi Syahrul Purnawan Syahrul Purnawan Teguh Arif Pianto Tri Aji Tri Nur Sujatmiko Try Febrianto Tumpal B. Nainggolan Tumpal Bernhard Nainggolan Udrekh Udrekh Vincentius P Siregar Widodo S Pranowo Widodo Setiyo Pranowo Wijopriono Windra, Alivio Winjaniatun, Siti Novrianti Yoga Prihantoro Yoga Prihantoro Yulinar Firdaus, Yulinar Zahran, Hafizh