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All Journal Indonesian Journal of Geography Komunikasi Fisika Indonesia Sinergi Journal of Applied Geospatial Information JOURNAL OF MECHANICAL ENGINEERING, MANUFACTURES, MATERIALS AND ENERGY MAJALAH ILMIAH GLOBE Jurnal Geografi, Edukasi dan Lingkungan Media Mahardhika Jurnal Kreativitas PKM International Journal of Remote Sensing and Earth Sciences (IJReSES) Indonesian Physical Review DIFFRACTION: Journal for Physics Education and Applied Physics Jurnal Teras Fisika : Teori, Modeling, dan Aplikasi Fisika Jurnal Penelitian Fisika dan Terapannya (JUPITER) Journal of Computer Science and Engineering (JCSE) Jurnal Ilmiah Matematika Mitra Akademia: Jurnal Pengabdian Masyarakat Indexia Jurnal Energi Baru dan Terbarukan Jurnal Aplikasi Bisnis Kesatuan GEOGRAPHIA: Jurnal Pendidikan dan Penelitian Geografi Jurnal Kolaboratif Sains Jurnal Riset Statistika Newton-Maxwell Journal of Physics Jagratara: Journal of Disaster Research The International Journal of Remote Sensing and Earth Sciences (IJReSES)

Yahya Darmawan

Indonesian Agency For Meteorological, Climatological And Geophys-ics (BMKG) Region I

Author-ID : 3494094

Religion Agriculture, Biological Sciences & Forestry Humanities Astronomy 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 Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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DETECTION THE VEGETATION CHANGES USING MODIS SATELLITE BASED ON THE CHOICE OF VEGETATION INDICES AND LAND COVER TYPES Darmawan, Yahya
MAJALAH ILMIAH GLOBE Vol 17, No 1 (2015)
Publisher : Badan Informasi Geospasial

Nowadays, Breaks for Additive Seasonal and Trend (BFAST) method based on time series of Moderate Resolution Imaging Spectroradiometer (MODIS) satellite data is increasingly used to monitor the temporal dynamics of vegetation changes. Nevertheless, sensitivity of the BFAST method for detecting the vegetation cover changes based on the choice of vegetation indices and land cover types has not been widely investigated. Breaks for Additive Seasonal and Trend (BFAST) method has applied to MODIS 16-day Enhance Vegetation Index (EVI) and Normalized Difference Vegetation Index (NDVI) composites images (2000-2014) of three land cover types (Urban and Built-Up, Evergreen Broadleaf Forest and Savannah) within Australia. Overall, the number and time of changes detected in the three land cover types differed with both time series data because of the data quality due to the cloud cover. As conclusion, the EVI is more sensitive than NDVI for detecting the seasonal and abrupt changes for the land cover which has the dense vegetation and large canopy background such as evergreen broadleaf forest. Furthermore, NDVI is more reliable to detect the seasonal and abrupt changes that occurred in land cover types which have sparse vegetation such as urban, built-up area and savannah.Keywords: Additive Model, BFAST, EVI, NDVI, MODISABSTRAKSaat ini, Metode Breaks for Additive Seasonal and Trend (BFAST) berdasarkan data satelit Moderate Resolution Imaging Spectroradiometer (MODIS) telah banyak diaplikasikan untuk melakukan monitoring terhadap perubahan dinamis dari tutupan vegetasi. Namun, sensitifitas BFAST untuk mendeteksi perubahan vegetasi berdasarkan pilihan indeks vegetasi dan jenis tutupan lahan yang berbeda belum banyak dilakukan. Metode Breaks for Additive Seasonal and Trend (BFAST) telah diaplikasikan dengan menggunakan data Enhanced Vegetation Index (EVI) dan Normalized Difference Vegetation Index (NDVI) dari satelit MODIS 16-harian terhadap tiga jenis tutupan lahan (perkotaan dan lahan terbangun, hutan berdaun lebar dan padang rumput) di wilayah Australia untuk periode data tahun 2000 - 2014. Secara umum, hasil deteksi metode BFAST berbeda untuk setiap tutupan lahan baik dari segi jumlah dan waktu yang dipengaruhi oleh kualitas data karena adanya tutupan awan di lokasi penelitian. Dapat disimpulkan bahwa EVI lebih sensitif digunakan dalam mendeteksi adanya perubahan musiman dan mendadak pada tutupan lahan dengan vegetasi yang rapat dan berkanopi lebar seperti hutan tropis. Sedangkan NDVI lebih sensitif digunakan untuk mendeteksi komponen musiman dan perubahan mendadak terutama untuk tutupan lahan yang memiliki vegetasi jarang seperti perkotaan, lahan terbangun dan padang rumput.Kata kunci: Additive Model, BFAST, EVI, NDVI, MODIS

Spatial Distribution of Trace Elements in Rice Field at Prafi District Manokwari Aplena Elen S. Bless; Samen Baan; Yahya Darmawan
Indonesian Journal of Geography Vol 48, No 1 (2016): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Mapping spatial variability of trace elements in rice Ḁeld is necessary to obtain soil quality information to en-hance rice production. ἀis study was aimed to measure concentration and distribution of Zn, Cu, Fe, Pb, and Cd in two diᴀerent sites (SP1, SP2) of PraḀ rice Ḁeld in Manokwari West Papua. ἀe representative 26 soil samples were analysed for their available trace metal concentration (DTPA), soil pH, and C-organic and soil texture. ἀe result indicated that Fe toxicity and Zn deḀcient problems were encountered in both sites. Rice Ḁeld in SP2 was more deḀcient in Zn than SP1. Site with the highest trace elements (Zn, Fe, Cu, and Cd) concentration had low soil pH and high C-organic. Acidic soil has higher solubility of metals; while high C-organic could improve the formation of dissolve organic carbon-metal binding, hence it improving the trace metals concentration in soil solution.

COMPARISON OF THE VEGETATION INDICES TO DETECT THE TROPICAL RAIN FOREST CHANGES USING BREAKS FOR ADDITIVE SEASONAL AND TREND (BFAST) MODEL Yahya Darmawan; Parwati Sofan
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 9, No 1 (2012)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Remotely sensed vegetation indices (VI) such as the Normalized Difference Vegetation Index (NDVI) are increasingly used as a proxy indicator of the state and condition of the land cover/vegetation, including forest. However, the Enhanced Vegetation Index (EVI) on the outcome of forest change detection has not been widely investigated. We compared the influence of using EVI and NDVI on the number and time of detected changes by applying Breaks for Additive Seasonal and Trend (BFAST), a change detection algorithm. We used MODIS 16-day NDVI and EVI composite images (April 2000-April 2012) of three pixels (pixels 352, 378, and 380) in the tropical peat swamp forest area around the flux tower of Palangka Raya, Central Kalimantan. The results of BFAST method were compared to the Normalized Difference Fraction Index (NDFI) maps and the maps were validated by the hotspot of the Infrastructure and Operational MODIS-Based Near Real-Time Fire(INDOFIRE). Overall, the number and time of changes detected in the three pixels differed with both time series data because of the data quality due to the cloud cover. Nonetheless, we found that EVI is more sensitive than NDVI for detecting abrupt changes such as the forest fires of August 2009-October 2009 that occurred in our study area and it was verified by the NDFI and the hotspot data. Our results demonstrated that the EVI for forest monitoring in the tropical peat swamp forest area which is covered by intense cloud cover is better than that NDVI. Nonetheless, further research with improving spatial resolution of satellite images for application of NDFI is highly recommended.

TINJAUAN ATAS BRAND IDENTITY PADA PT MOJADI APLIKASI INDONESIA (MOJADIAPP) Darmawan, Yahya; Suardy, Weman; Kusumayanti, Diah
Jurnal Aplikasi Bisnis Kesatuan Vol. 3 No. 3 (2023): JABKES Edisi Desember 2023
Publisher : Program Vokasi dan LPPM IBI Kesatuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37641/jabkes.v3i3.1971

Masa pandemi Covid-19 mempercepat pertumbuhan dunia pendidikan di Indonesia khususnya pemanfaatan media digital untuk menjalankan proses belajar mengajar. Pertumbuhan ini juga diiringi dengan semakin banyaknya bermunculan perusahaan yang bergerak di bidang education technology (EduTech), menawarkan solusi bagi siswa, mahasiswa, maupun institusi pendidikan untuk melaksanakan proses belajar mengajar secara online. Untuk dapat tampil dan mudah di identifikasi oleh konsumen salah satu caranya adalah dengan memaksimalkan penerapan brand identity. brand identity atau elemen merek adalah perangkat merek dagang yang berfungsi sebagai pembeda dari perusahaan lain, sehingga memudahkan konsumen untuk mengidentifikasi merek. Tujuan penelitian ini, yaitu untuk mengetahui : 1) Untuk mengetahui bagaimana penerapan brand identity PT. Mojadi Aplikasi Indonesia (Mojadiapp), 2) Untuk mengetahui apa kendala dalam penerapan brand identity PT. Mojadi Aplikasi Indonesia, 3) Untuk mengetahui upaya mengatasi kendala penerapan brand identity pada PT. Mojadi Aplikasi Indonesia (Mojadiapp).

POTENSI PANAS LAUT SEBAGAI ENERGI BARU TERBARUKAN DI PERAIRAN KEPULAUAN NUSA TENGGARA TIMUR DENGAN METODE OCEAN THERMAL ENERGY CONVERSION (OTEC) Fadllillah, Ahmad Arif Zulfan; Sanjaya, Kadek Valerina Kitana; Arkananta, Muhammad Zaky; Darmawan, Yahya
Jurnal Energi Baru dan Terbarukan Vol 5, No 1 (2024): Maret 2024
Publisher : Program Studi Magister Energi, Sekolah Pascasarjana, Universitas Diponegoro, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jebt.2024.22080

Energi terbarukan merupakan solusi terbaik untuk memenuhi kebutuhan energi listrik demi keberlangsungan hidup manusia. Mengingat peningkatan yang terus menerus dalam kebutuhan energi listrik dan energi fosil juga semakin menipis, diperlukan inovasi baru dalam menghasilkan energi terbarukan yang ramah lingkungan. Salah satu metode yang digunakan adalah Ocean Thermal Energy Conversion (OTEC), yang menggunakan perbedaan temperatur antara laut dalam dan permukaan dengan selisih minimal 20 °C untuk menghasilkan energi listrik melalui mesin kalor. Kepulauan Nusa Tenggara Timur (NTT) merupakan salah satu provinsi di Indonesia yang memiliki kekurangan pasokan listrik. Penelitian ini bertujuan untuk mengevaluasi potensi pemanfaatan OTEC di perairan Kepulauan NTT. Data yang digunakan dalam penelitian ini adalah data suhu air laut dalam dan permukaan di perairan sekitar Kepulauan Nusa Tenggara Timur, yang diperoleh dari World Ocean Atlas 2013. Data tersebut kemudian diolah menggunakan perangkat lunak analisis data dan Ocean Data View (ODV). Hasil penelitian menunjukkan bahwa perairan kepulauan Nusa Tenggara Timur memiliki potensi yang tinggi dengan tingkat efisiensi carnot > 7 % dengan potensi listrik yang dapat dihasilkan dari OTEC di wilayah kepulauan NTT adalah sekitar 2.527,4 GWh per tahun.

Design and Development of A Digital Soil Temperature Monitoring System Based on The Internet of Things at North Sumatra Climatological Station Manurung, Royston; Nasution, Tulus Ikhsan; Humaidi, Syahrul; Saragih, Immanuel Jhonson A.; Hibatullah, Khindi Aufa; Situmorang, Marhaposan; Darmawan, Yahya
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.v7i2.6545

Soil temperature is a crucial parameter in monitoring and understanding climate and soil ecosystems. It plays a vital role in various environmental aspects, including agriculture, ecology, and geoscience. Monitoring soil temperature is necessary for planning and managing agriculture and natural resources. Currently, temporal observations of soil temperature by BMKG are limited, conducted only at 07:55, 13:55, and 18:55 local time. This limitation makes it difficult to perform detailed soil temperature analysis. This research was conducted to design a digital soil temperature monitoring device accessible via the internet. Seven DS18B20 sensors were used at depths of 0 cm, 2 cm, 5 cm, 10 cm, 20 cm, 50 cm, and 100 cm, combined with an ESP8266 module using the Arduino system. The implementation of this design resulted in a real-time soil temperature monitoring system with data updates every 10 seconds. The observed data are displayed on a 20x4 LCD and sent to the cloud, making them accessible on the webpage http://monitoringsuhutanah.my.id. Calibration results indicate that the DS18B20 sensors used in this study provide accurate and consistent temperature measurements, with an average correction range of (-0.20) to 0.24, thus suitable for operational use. Field tests show that the digital data are accurate and correspond (linearly correlate) with conventional data. This is based on a correlation value of 0.7, while the RMSE values range from 0.5 to 2.18 and the bias ranges from (-0.69) to 0.08.

ANALISIS EFEKTIVITAS TUGAS POKOK DAN FUNGSI PENGELOLA BARANG DALAM PENATAUSAHAAN BARANG MILIK NEGARA DI SEKOLAH TINGGI METEOROLOGI KLIMATOLOGI DAN GEOFISIKA Wibowo, Shindyko; Giyanto, Bambang; Munawar, Munawar; Darmawan, Yahya; Habibi, Naufal Ilham
Media Mahardhika Vol. 23 No. 1 (2024): September 2024
Publisher : STIE Mahardhika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29062/mahardika.v23i1.1212

This study aims to measure the effectiveness of asset managers in administering State-Owned Assets (BMN) at the Meteorology, Climatology, and Geophysics School (STMKG), as identified in the 2017-2018 Operational Audit Report. The research employs a mixed-method approach, utilizing both qualitative and quantitative methods, with data collected through Likert-scale questionnaires and in-depth interviews with six respondents. Data analysis was performed using Smart PLS software. The findings indicate that while the asset managers at STMKG meet the minimum educational qualifications of a Diploma III, they lack the necessary certification in BMN Management Technical Substantive Training (DTSS). However, the managers demonstrate strong competencies in technical, cognitive, and social aspects, which significantly support their roles. The study highlights deficiencies in the reporting and disposal processes of BMN and emphasizes the need for formal training to enhance the effectiveness of BMN management.

Penerapan Metode Skoring Dan Pembobotan Dalam Identifikasi Potensi Energi Terbarukan Di Indonesia Muhamad Arif Jumansa; Fadhli Aslama Afghani; Imawan Mashuri; Muhammad Labieb Muzakkie; Ramadoni Khirtin; Yahya Darmawan
Jurnal Geografi, Edukasi dan Lingkungan (JGEL) Vol. 8 No. 2 (2024): Edisi Bulan Juli
Publisher : Pendidikan Geografi Universitas Muhammadiyah Prof. Dr. Hamka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/jgel.v8i2.12845

Tingkat emisi karbon di Indonesia yang terus meningkat hingga mencapai urutan ke-10 di dunia yang disebabkan oleh pembangkit listrik tenaga uap sebagai penyokong utama penghasil Enegi Listrik dengan Emisi Karbon yang tinggi. Kebijakan pemerintah pada Peraturan Presiden Nomor 55 Tahun 2019 untuk mempercepat implementasi program kendaraan bermotor listrik berbasis baterai (Battery Electric Vehicle - BEV) dalam sektor transportasi. Selain itu, adanya kebijakan dengan pemberian bantuan subsidi Kendaraan Bermotor Listrik Berbasis Baterai, yang berupaya untuk menyelesaikan permasalahan emisi karbon dari sektor transportasi bahkan menjadi bumerang bagi pemerintah. Hal tersebut dikarenakan peningkatan penggunaan energi Listrik akan meningkatkan emisi karbon akibat Pembangkit Listrik Tenaga Uap (PLTU). Oleh karena itu, perlunya sumber energi terbarukan yang bersih dan ramah lingkungan guna menyelesaikan akar permasalahan dari peningkatan karbon. Pencarian sumber energi terbarukan yang merupakan tujuan dalam penelitian ini dengan menggunakan metode scoring dan pembobotan. Hasil dari penelitian menunjukkan bahwa potensi energi terbarukan berupa tenaga surya, angin, dan gelombang laut di wilayah Indonesia menunjukkan potensi yang sangat besar dengan estimasi total daya rerata yang dihasilkan oleh tenaga surya yaitu 2,14x1013 kW dengan potensi tertinggi berada di wilayah Provinsi Papua Tengah. Total daya rerata yang dihasilkan oleh tenaga angin yaitu5,07x105 kW dengan potensi tertinggi berada di Wilayah Provinsi Maluku, dan total daya rerata yang dihasilkan oleh tenaga gelombang laut yaitu 55,2 kW/m dengan potensi tertinggi berada di wilayah Perairan barat dan Selatan pulau Sumatera.

Identifikasi Pola Spasial dan Temporal Daerah Potensi Kebakaran Hutan di Kota Singkawang Berbasis Sistem Informasi Geografis Muhammad Zaky Arkananta; Yahya Darmawan
Jagratara: Journal of Disaster Research Vol. 2 No. 1 (2024): Juni
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/jjdr.v2i1.141

Singkawang City is one of the cities recorded as having experienced a relatively high impact of forest fires over the last 5 years. Although most forest fires are caused by natural factors, there are also impacts caused by human intervention as a serious trigger in increasing the frequency and intensity of forest fires in Singkawang City. This research aims to analyze the distribution pattern of areas prone to forest and land fires spatially and temporally in Singkawang City in 2018 - 2022 using a scoring and overlay method based on Geographic Information Systems (GIS). Some of the variables used in this research include rainfall, altitude, vegetation cover, and soil type. After the data processing process, it was continued with validation with fire point data in Singkawang City. Data analysis shows that there is significant variability in the number of hotspots from year to year, with the highest peak occurring in 2019. The results of this research show that the hotspots that occur are in accordance with the mapping of areas prone to forest fires. There is a positive correlation between the number of fire hotspots and the processing of areas prone to forest fires using scoring and overlay methods.

Pengendalian Banjir Pada Daerah Aliran Sungai Pesanggrahan Menggunakan Pemodelan HEC-RAS Habibi, Naufal Ilham; Darmawan, Yahya
Jagratara: Journal of Disaster Research Vol. 2 No. 1 (2024): Juni
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/jjdr.v2i1.146

Flooding is one of the most common threats in Indonesia. The disaster generally occurs during the rainy season due to high rainfall. The inability of the watershed to accommodate the rain causes the water to overflow and inundate the surrounding area. The Pesanggrahan watershed is one example with a dense population. This hampers activities, economic losses, and health problems. Efforts are needed to prevent flood disasters. One of them is flood modelling using HEC-RAS. The purpose of the research focuses on the application of the HEC-RAS model in the Pesanggrahan watershed to determine the boundaries of water levels and overflows that have the potential to flood. The benefit of the research is to control flooding. The research was conducted in the Pesanggrahan watershed with coordinates of 6o 10' 20" - 6o 33' 50" N-S and 106o 44' 15" - 106o 48' 05" EAST. Data used in the form of rainfall comes from the Ciliwung-Cisadane River Basin and DEM and shp from USGS, and Geospatial Information Agency. Data were analysed using quantitative and qualitative methods of Log Pearson Type III distribution and Chi-Square and Smirnov-Kolmogorof tests, as well as the Mononobe method for rainfall plans. The results of the study are Q2th = 217.03 m3/s, Q5th = 305.34 m3, Q10th = 364.69 m3/s, Q25th = 440.49 m3/s, Q50th = 487.52 m3/s. The highest River Station 53135 is in the upper reaches of the river with an average height of 4 - 6 metres and the lowest 35 is in the lower reaches of the river with an average height of 3 - 4 metres. It also appears that there are many overflows in the DKI Jakarta area. Therefore, there is a need for flood management.

Co-Authors Afriyanti Agung Perdian Sulistio Akbar, Ahmad Aldizar Al Badri, Abdul Aziz Amanu, Rendy Syahril Amri, Sayful Anggraini, Eca Indah Aplena Elen S. Bless Ardhana, Andini Aprilia Arief Wibowo Arief, Syachrul Arifianto, Fendy Arkananta, Muhammad Zaky Armadyaputri, Aludra Nadia Bambang Giyanto Benyamin Heryanto Rusanto Carundyatama, Daniar Ihza Dahsan, Sudarti Deni Septiadi Dhaifullah Rafif Aslam Erna Frida Fadhli Aslama Afghani Fadllillah, Ahmad Arif Zulfan Ferdiansyah, Ervan Ferdiyansyah, Ervan Franchitika, Rizky Giananti, Attiya Shakila Habibi, Naufal Ilham Hayatul Khairul Rahmat Hibatullah, Khindi Aufa Ikhsanudin, Agus Haryanto Imawan Mashuri Karyono Karyono Kusumayanti, Diah Lumbantoruan, Alva Josia Manik, Willy Bonanja Manurung, Ellya Veronika Iriani Manurung, Royston Marhaposan Situmorang, Marhaposan Muhamad Arif Jumansa Muhammad Labieb Muzakkie Muhammad Zaky Arkananta Mulya, Aditya Munawar Munawar Nardi, Nardi Nisa, Ania Maulidiah Nurdin, Fachdy Oktabrian, Krisna Dwi Parwati Sofan Rahma, Nuzula Elfa Ramadoni Khirtin Restianto, Mohammad Obie Rista Hernandi Virgianto Samen Baan Sanjaya, Kadek Valerina Kitana Saputra, Ahmad Irsyad Saragih, Immanuel Jhonson A. Sudarisman, Maman Supriyadi, Asep Adang Syahrul Humaidi, Syahrul Tambunan, Nensy Nindy Tanggahma, Yuan Zalfa Trianasari, Maria Evy Tulus Ikhsan Nasution Veanti, Desak Putu Okta Vidia, Trimawarti Esti Wandono, Wandono Weman Suardy Wibowo, Shindyko Widodo , Anton Widodo Widodo

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