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All Journal Jurnal Ilmu Pertanian Indonesia Jurnal Teknologi Perikanan dan Kelautan Marine Fisheries: Jurnal Teknologi dan Manajemen Perikanan Laut Jurnal Ilmu dan Teknologi Kelautan Tropis ILMU KELAUTAN: Indonesian Journal of Marine Sciences Jurnal Kelautan : Indonesian Journal of Marine Science and Technology Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Jurnal Kelautan Tropis Journal of Geoscience, Engineering, Environment, and Technology Journal of Applied Geospatial Information Omni-Akuatika MAJALAH ILMIAH GLOBE Jurnal Pengelolaan Perikanan Tropis (Journal Of Tropical Fisheries Management) Albacore : Jurnal Penelitian Perikanan Laut Jurnal Perikanan Universitas Gadjah Mada Jurnal Kelautan Nasional Jurnal Segara Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital International Journal of Remote Sensing and Earth Sciences (IJReSES) COJ (Coastal and Ocean Journal) Jurnal Riset Perikanan dan Kelautan Jurnal Pusat Inovasi Masyarakat Depik Jurnal Ilmu-Ilmu Perairan, Pesisir dan Perikanan JURNAL SAINS dan INOVASI PERIKANAN Policy Brief Pertanian, Kelautan, dan Biosains Tropika Depik Jurnal Ilmu-Ilmu Perairan, Pesisir, dan Perikanan Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital The International Journal of Remote Sensing and Earth Sciences (IJReSES)
Syamsul Bahri Agus, Syamsul Bahri
Departemen Ilmu Dan Teknologi Kelautan, Fakultas Perikanan Dan Ilmu Kelautan, Institut Pertanian Bogor, Jalan Agatis, Kampus IPB Dramaga, Bogor 16680, Indonesia
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Karakteristik Reflektansi Spektral Lamun Menggunakan Data Spektroradiometer di Perairan Kepulauan Seribu Hartoni Hartoni; Vincentius P Siregar; Sam Wouthuyzen; Syamsul Bahri Agus
Jurnal Kelautan Nasional Vol 17, No 1 (2022): APRIL
Publisher : Pusat Riset Kelautan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (902.297 KB) | DOI: 10.15578/jkn.v17i1.9783

Abstract

Padang lamun merupakan ekosistem tumbuhan berbunga yang hidup di perairan laut dangkal. Padang lamun memiliki kemampuan untuk beradaptasi di perairan dengan salinitas tinggi. Padang lamun mempunyai peran ekologis yang sangat penting dan bernilai ekonomis tinggi. Padang lamun pada suatu perairan dapat dideteksi dengan pengukuran reflektansi gelombang elektromagnetiknya. Tujuan penelitian adalah menganalisis karakteristik reflektansi spektral lamun yang diukur secara in situ menggunakan spectrometer. Penelitian dilaksanakan pada September 2018 di dua lokasi: a) di Pulau Pramuka, Pulau Panggang dan Pulau Karya; dan b) di Pulau Lancang Kabupaten Kepulauan Seribu. Pola reflektansi spektral lamun pada kedua lokasi menunjukkan kemiripan namun memiliki nilai intensitas  reflektansi yang berbeda. Reflektansi spektral lamun memiliki puncak yang berbeda pada panjang gelombang hijau  (500-600 nm), panjang gelombang merah tepi (700-750 nm), dan  panjang gelombang inframerah dekat (800-850 nm). Uji ANOVA dari nilai reflektansi di dua lokasi penelitian menunjukkan hasil yang berbeda nyata antar jenis lamun. Uji Tukey menunjukkan perbedaan signifikan antar jenis lamun kecuali jenis Cymodocea serrulata dan Enhalus acoroides. Analisis diskriminan menunjukkan panjang gelombang orange  (585-620 nm), kuning  (575-585 nm), hijau kuning (550-575 nm), dan hijau  (510-550 nm) merupakan panjang gelombang yang dapat digunakan untuk mendiskriminasi dan memetakan lamun.
Konektivitas Pulau Kecil dan Pulau Induk Dalam Pengembangan Ekowisata Bahari Berdasarkan Karakteristik Geografis dan Sosial Budaya Lokal (Studi Kasus Pulau Nusa Manu dan Nusa Leun) Ilham Marasabessy; Achmad Fahrudin; Zulahamsyah Imran; Syamsul Bahri Agus; Muhammad Iksan Badarudin
Jurnal Riset Perikanan dan Kelautan Vol 3 No 1 (2021): JURNAL RISET PERIKANAN DAN KELAUTAN
Publisher : Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (547.338 KB)

Abstract

Pulau Nusa Manu dan Nusa Leun merupakan gugusan pulau kecil dengan luas masing-masing 0.31 Km2 dan 0.73 Km2, berada di utara Pulau Seram Maluku Tengah dan tidak ditempati masyarakat (kosong). Penelitian bertujuan untuk mengetahui karakteristik geografis dan sosial budaya masyarakat dalam proses pengembangan ekowisata bahari di kedua pulau. Harapannya menjadi informasi pendukung data base terkait pengelolaan pulau Nusa Manu dan Nusa Leun sebagai kawasan parwisata bahari. Pengambilan data dilakukan secara langsung (insitu) di lapangan selama bulan September sampai Desember 2016, mewakili 2 lokasi yaitu central area of research dan study area of research. Menggunakan analisis deskriptif evaluatif untuk mengethaui dinamika sosial dan budaya masyarakat Negeri Sawai, melalui interview indepth dan pengisian kusioner. Sedangakan data geografis dan landscape pesisir diperoleh menggunakan analisis spasial dengan perangkat lunak aplikasi ArcmapGis 10.3.1. Kedua pulau berada pada wilayah dataran tinggi mencapai lebih dari 500 mdpal, terbentuk secara alami melalui mekanisme vulkanis dan tektonik. Pengembangan kawasan saling terintegrasi antara pulau induk dan pulau kecil berdasarakan konektivitas ekologi dan sosial melalui pengelolaan sumberdaya alam
Kebun Bibit Mandiri Penunjang Peremajaan Jambu Mete Dalam Meningkatkan Produksi Jambu Mete Di Desa Salut, Kecamatan Kayangan, Kabupaten Lombok Utara Retno Asih; Aji Hermawan; Sugeng Heri Suseno; Danang Aria Nugroho; Emy Mupid; Maulana Ishak; Yonvitner Yonvitner; Syamsul Bahri Agus
Jurnal Pusat Inovasi Masyarakat (PIM) Vol. 1 No. 1 (2019): November 2019
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat, Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (274.947 KB)

Abstract

The Indonesian government through Pelita II (Five-Year Development) has carried out cashew cultivation projects in the eastern part of Indonesia. This project was carried out in two stages, namely in the 1970s and 1980s, which meant that the average age of cashew plants in Indonesia reached 28-38 years. This age has passed the peak production period so that without intensive care, naturally the production of cashew in Indonesia has decreased. Rejuvenation is an effort to overcome cashew plants whose production begins to decline. The condition of damaged or non-producing gardens needs to be replaced with new, better plants. After the absence of a project from the government, the community tends to use careless seeds that are unclear in their origins and this has the potential to produce plants that are not producing well. The SLAK program (field station for creative agro) from LPPM IPB invites the community to start breeding independently. This business began with the identification of cashew conditions in Salut, then counseling on nurseries and making cashew nursery demonstration plots.
Comparison of Satellite-Derived Bathymetry Algorithm Accuracy Using Sentinel-2 Multispectral Satellite Image Muhammad Iqra Prasetya; Vincentius Paulus Siregar; Syamsul Bahri Agus
Jurnal Kelautan Tropis Vol 26, No 1 (2023): JURNAL KELAUTAN TROPIS
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jkt.v26i1.16050

Abstract

The utilization of satellite image data and image data processing techniques has become an efficient alternative to obtain bathymetric data in a broad and complicated area. This study aimed to determine the algorithm's performance in the waters of Lambasina Island. Atmospheric and radiometric correction using the Dark Object Subtraction (DOS) method for initial processing of Sentinel-2 images. The multispectral channel used, namely the blue, green, and red bands, was tested by regression using field observation data. The algorithms used to estimate bathymetry include Lyzenga, Stumpf, and Support Vector Machine (SVM). The test results of the three algorithms showed that the support vector machine algorithm was the best algorithm for estimating bathymetry after the Stumpf and Lyzenga algorithms. The correlation results of the SVM algorithm in the waters of the small Lambasina island got a correlation coefficient of determination R2 = 0.81 and the large Lambasina waters area R2 = 0.82. The second-best algorithm was Stumpf, with a correlation coefficient of determination of R2 = 0.79 in the waters of the small Lambasina island and R2 = 0.80 in the waters of the large Lambasina island. Lyzenga's algorithm got the correlation coefficient of determination R2 = 0.78 on small Lambasina Islands and large Lambasina Islands with a determination correlation coefficient value of R2 = 0.79.
FISHING BOAT DISTRIBUTION ESTABLISHED BY COMPARING VMS AND VIIRS DATA AROUND THE ARU ISLANDS IN MALUKU INDONESIA van Beek, Ruben; Lumban Gaol, Jonson; Agus, Syamsul Bahri
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 18, No 1 (2021)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2021.v18.a3605

Abstract

Marine protected areas (MPAs) and no take zones (NTZs) are essential for the preservation of marine ecosystems. However, these important areas can be severely harmed by illegal fishing. All vessels above 30 gross tons are required to use vessel monitoring systems (VMSs) that enable vessel tracking by sending geographic data to satellites in each specific time period. The Visible Infrared Radiometer Suite (VIIRS) is a sensor on the National Oceanic and Atmospheric Administration (NOAA)-20 satellite that can detect the light-emitting diode (LED) light used by fishing vessels from space during the night time. In this research, VMS and VIIRS fishery data were combined in order to identify fishing vessels that were detected by the VIIRS sensor of the NOAA-20 satellite. The research was focused on an area near the Aru Islands in the Arafura Sea in Indonesia. Data on LED light used by the fishing techniques of purse seine and bouke ami were obtained for the whole of 2018. The data were then processed using R software. An R package called LLFI (LED Light Fisheries Identifier) was created, containing several R-functions that calculate VMS vessel position during satellite overpass time and then combine the VMS and VIIRS data attributes, resulting in a dataset comprising vessels identified from the VIIRS dataset. Out of all the estimated VMS fishing vessel positions during the VIIRS satellite overpass, approximately 51% could be assigned to fishing vessels detected from the VIIRS dataset. For bouke ami, the identification rate was approximately 87%, while that for small purse seine was around 39%. Ultimately, the LLFI package created daily paths for each identified fishing vessel, displaying all its movements during the day of its’identification. These daily paths did not show any activity within MPA or NTZ. The LLFI package was successful in combining VMS and VIIRS data, estimating VMS vessel positions during the VIIRS satellite overpass, identifying a percentage of  the vessels, and creating a daily path for each identified vessel. 
User Fee System Sebagai Bentuk Implementasi Kebijakan Tata Ruang Wilayah Pesisir Teluk Kendari Adi Imam Wahyudi; Luky Adrianto; Syamsul Bahri Agus
JSIPi (JURNAL SAINS DAN INOVASI PERIKANAN) (JOURNAL OF FISHERY SCIENCE AND INNOVATION) Vol 7 No 2 (2023): JURNAL SAINS dan INOVASI PERIKANAN
Publisher : Pascasarjana Universitas Halu Oleo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33772/jsipi.v7i2.513

Abstract

Penelitian dilaksanakan mulai April hingga Mei 2015. Tujuan penelitian untuk mengestimasi nilai ekonomi dari wisata rekreasi dalam hal ini pantai dan mengetahui persepsi pengelolaan pantai Teluk Kendari serta mengetahui tingkat kepuasan wisatawan. Wisatawan yang melakukan aktivitas rekreasi di Teluk Kendari adalah responden yang dipilih. Metode sampling acak sederhana digunakan untuk mengumpulkan sampel dari responden. Mengumpulkan data awal responden melalui observasi langsung di lapangan melalui wawancara. Data sekunder dikumpulkan dengan melakukan penelitian literatur. Analisis data menggunakan metode Penilaian Kontingensi dan Biaya Perjalanan sebagai hasil dari kerelaan membayar (WTP) dan analisis persepsi pengelolaan pengunjung wisata menggunakan Expert Couplet Node melalui pendekatan kualitatif. Hasil penelitian menunjukkan bahwa besarnya kesediaan membayar (WTP) agregat sebesar Rp. 23.250,- individu-1 tahun-1. Hasil perhitungan nilai konsumen surplus sebesar Rp. 13.983,- individu-1 tahun-1 dengan total nilai konsumen surplus kunjungan di Teluk Kendari sebesar Rp. 624.720,- tahun-1. Persentase sebesar 62% menunjukkan kurangnya kepuasan pengunjung terhadap pengelolaan ruang wisata serta 68% responden menunjukkan kurangnya kepuasan terhadap upaya pelestarian lingkungan Teluk Kendari.
Pemetaan Habitat Bentik Berbasis Objek Menggunakan Drone Di Perairan Pulau Gili Labak, Sumenep Adhitya Nugroho; Bisma Nababan; James Parlindungan Panjaitan; Syamsul Bahri Agus
Jurnal Kelautan Vol 17, No 1: April (2024)
Publisher : Department of Marine Sciences, Trunojoyo University of Madura, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/jk.v17i1.24518

Abstract

ABSTRAKPemetaan habitat bentik menggunakan drone memiliki kendala terkait kodisi cuaca dan lingkungan, seperti kecepatan angin dan sun glint yang dapat mengganggu pengambilan gambar dan klasifikasi gambar. Penelitian ini bertujuan untuk mengetahui sudut sensor drone yang optimal, waktu penerbangan drone terbaik di lokasi penelitian, serta mengetahui tingkat akurasi algoritma support vector machine menggunakan metode OBIA. Penelitian ini dilaksanakan di perairan Pulau Gili Labak pada bulan Oktober 2022 menggunakan drone DJI Phantom 4. Penelitian ini menerapkan dua sudut sensor 45° dan 90° serta waktu pengambilan pukul 08:00; 09:30; 13:15; 14:45. Klasifikasi citra drone menggunakan metode OBIA menggunkan metode contextual editing pada level 1 (perairan dangkal). Level 2 menggunakan klasifikasi terbimbing menggunakan algoritma klasifikasi machine learning yaitu support vector machine (SVM) dengan input themathic layer dari data lapangan. Klasifikasi habitat bentik dilakukan pada 6 kelas dengan penerapan skala segmentasi 25, 50, 70, 100. Berdasarkan hasil  pengambilan gambar waktu terbaik menerbangkan drone pada pukul 13:15 menggunakan sudut sensor 90º dilokasi penelitian, diperoleh nilai overall accuracy sebesar 84.06% serta nilai kappa 0.78656 pada skala segmentasi 50 dengan algoritma support vector machine.Kata kunci: pemetaan, habitat bentik, OBIA, drone, Pulau Gili LabakABSTRACTBenthic habitat mapping using drones has constraints related to weather and environmental conditions, such as wind speed and sun glint that can interfere with image capture and image classification. This study aims to determine the optimal drone sensor angle, the best drone flight time at the research location, and determine the accuracy of the support vector machine algorithm using the OBIA method. This research was conducted in the waters of Gili Labak Island in October 2022 using a DJI Phantom 4 drone. This research applied two sensor angles of 45° and 90° and the capture time at 08:00; 09:30; 13:15; 14:45. Classification of drone imagery using the OBIA method utilizes contextual editing at level 1 (shallow water). Level 2 uses guided classification using a machine learning classification algorithm, namely support vector machine (SVM) with themathic layer input from field data. Benthic habitat classification was performed on 6 classes with the application of segmentation scales of 25, 50, 70, 100. Based on the results of taking pictures of the best time to fly the drone at 13:15 using a 90º sensor angle at the research location, an overall accuracy value of 84.06% was obtained and a kappa value of 0.78656 on a segmentation scale of 50 with the support vector machine algorithm. Keywords: Mapping, Benthic Habitats, OBIA, Gili Labak Island 
Analysis of Rob Flood Risk on The Coast of East Luwu District Using GIS Devy, Nanda Riska; Agus, Syamsul Bahri; Susilo, Setyo Budi
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.v7i2.6719

Abstract

Rob floods caused by rising sea levels are a natural disaster that can potentially threaten coastal areas, especially in Indonesia. Tidal floods seriously threaten coastal areas, especially East Luwu Regency. Environmental factors and rapid growth on the coast of East Luwu Regency influence the vulnerability and complexity of the environment. This research aims to identify the spatial distribution of tidal flood risk levels and predict tidal flood inundation in 2050 at the highest tide on the coast of Luwu Timur District. This effort is part of a disaster mitigation strategy due to rising sea levels. The modeling approach involves Geographic Information Systems (GIS) overlaying data and integrating DEM, HHWL, and SLR data for 28 years (1992-2020). The research results show that the coastal areas studied have a high risk related to tidal flooding, with locations closest to the coastline being at the highest risk. In contrast, the risk decreases as you move away from the coastline. Apart from that, the modeling results also estimate that in 2050, inundation will reach a height of 1,570 meters. The area affected by tidal flood inundation has increased in each sub-district. The inundation will spread evenly along the coastline and extend inland due to seawater intrusion. Coastal areas dominated by production land, such as ponds and agricultural areas, are predicted to experience the most extensive impact of inundation compared to other land uses. Emphasizes the need for mitigation efforts to minimize the impacts that may be caused by tidal floods in the future.
The Sensitivity Level of the Coastal Areas in Bulukumba Regency to Waste Pollution Adinuha, Dinda Afifah; Agus, Syamsul Bahri; Zamani, Neviaty Putri
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.v7i2.6727

Abstract

The presence of waste in coastal environments can lead to increased coastal damage and burden. Most of the population's activities in Bulukumba Regency are concentrated in coastal areas, thus making this region susceptible to significant pressure from waste pollution. This research aims to determine the level of coastal area sensitivity in Bulukumba towards waste pollution. The study was conducted from October to December 2022. The research location is the coastal area of Bulukumba Regency, which includes seven subdistricts: Gantarang, Ujung Bulu, Ujung Loe, Bonto Bahari, Bontotiro, Herlang, and Kajang. Primary data were obtained through interviews and direct observations at the research locations, while secondary data were collected through literature studies and relevant institutions in Bulukumba. The results of parameter weighting using the expert judgment method indicate that five important parameters are used to assess the sensitivity of the coastal environment to waste pollution. These parameters consist of current velocity (20.27%), distance of the ecosystem from the harbor (18.92%), distance of the ecosystem from settlements (18.92%), distance of the ecosystem from rivers (17.57%), and the presence of waste on the coast (17.57%). The distribution of coastal environmental sensitivity levels to waste pollution shows that the eastern coastal areas are more sensitive to waste pollution than the southern coastal areas. The current velocity is the most significant parameter influencing the coastal environment's sensitivity to waste pollution and holds the highest weight and score across all research areas.
Classification and Distribution Of Mangrove Genus Using Multispectral Unmanned Aerial Vehicle (UAV) In The Waters Of Lancang Island, Kepulauan Seribu, Indonesia Armanda; Syamsul Bahri Agus; Jonson Lumban Gaol
Journal of Geoscience, Engineering, Environment, and Technology Vol. 9 No. 2 (2024): JGEET Vol 09 No 02 : June (2024)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2024.9.2.17195

Abstract

Mapping of mangrove distribution is important as basic information in mangrove resource management. development of remote sensing technology with multispectral unmanned aerial vehicle (UAV) with high spatial resolution. This study aims to determine the classification and distribution of mangrove genera using a pixel-based classification method and calculate the accuracy level of mangrove genus classification using a multispectral unmanned aerial vehicle (UAV) in Lancang Island Waters, Kepulauan Seribu. This research was carried out in August 2023 by obtaining 481 mangrove genus observation points using the DJI Phantom 4 multispectral drone. Image classification was processed using a pixel-based classification method with two classification levels, including level 1 (mangrove), resulting in an area of 18.72 ha. Level 2 (mangrove genus) uses guided classifications such as Support Vector Machine (SVM), K-Nearest Neighbor (KNN), and Random Forest (RF). Based on the classification results, the best results were obtained using the RF algorithm with an accuracy of 89.78% and a kappa index of 0.51, followed by the SVM algorithm with an accuracy of 89.78% and a kappa index of 0.45, then using the KNN algorithm with an accuracy of 88.32% and a kappa index of 0.43.
Co-Authors . Jihad Abdul Aziz, Nandi Achmad Fahrudin Achmad Fahrudin Achmad Fahrudin Adhitya Nugroho Adi Imam Wahyudi Adinuha, Dinda Afifah Aditya Hikmat Nugraha Adriani Sunuddin Agnestesya Manuputty Agustin Rustam Aji Hermawan Akmal, Surya Genta Alam, Al Fajar Aldi Agus Setiawan Andi Alamsyah Ani Rahmawati Arifin Taslim Ario Damar Armanda Aryani, Desy Ayub Sugara Beginer Subhan Bisma Nababan Budhi Agung Prasetyo Budhi Agung Prasetyo Budiman, Mukhammad Asyief Khasan Budy Wiryawan Danang Aria Nugroho Devy, Nanda Riska Dietriech Geoffrey Bengen Emma Suri Yanti Siregar Emy Mupid Erni Kusumawati FERY KURNIAWAN Forcep Rio Indaryanto Fredinan Yulianda Guido Roberto Jerun Parera Hartoni Hartoni I Wayan Nurjaya Ilham Marasabessy Ilham Marasabessy Indra Jaya Insaniah Rahimah James Parlindungan Panjaitan Joko Santoso Jonson Lumban Gaol Lucy Peter Liew Luky Adrianto Luky Adrianto Mahfud Palo Maulana Ishak Muhammad Iksan Badarudin Muhammad Iqra Prasetya Muta Ali Khalifa Mutiara Alkayakni Harahap NEVIATY PUTRI ZAMANI Nico Wantona Prabowo Nimmi Zulbainarni Noya, Theo Imanuel Nunung Noer Aziizah Nunung Noer Aziizah Nunung Noer Aziizah Nunung Noer Aziizah Nunung Noer Aziizah, Nunung Noer Nursan, Muhammad Nurzeha, Ridwan Nyoman M N Natih P. Perdinan Prasetya, Muhammad Iqra Prastomo, Arul Tabah Putri, Rini Sahni Retno Asih RIDWAN AFFANDI Rosdyani Rachmi Rudiyanto, Bambang Yudho Rustam Effendi Paembonan, Rustam Effendi Sahibuddin, Muhammad Qustam Sam Wouthuyzen Setyo Budi Susilo Sigid Hariyadi Sri Pujiyati Sugeng Heri Suseno Surya Gentha Akmal Tarlan Subarno Tarlan Subarno Tarlan Subarno van Beek, Ruben Vincentius P Siregar Wikanti Asriningrum Wikanti Asriningrum Wikanti Asriningrum Wildan Nurussalam Wildan, Dudi Muhammad Yonvitner - Yulius Yulius Yuni Puji Hastuti Yusuf Arief Afandy Zulahamsyah Imran Zulfikar Afandy Zulfikar Afandy Zulhamsyah Imran