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All Journal Indonesian Journal of Geography TELKOMNIKA (Telecommunication Computing Electronics and Control) Geoplanning : Journal of Geomatics and Planning MAJALAH ILMIAH GLOBE Jurnal Geografi Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital International Journal of Remote Sensing and Earth Sciences (IJReSES) Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital The International Journal of Remote Sensing and Earth Sciences (IJReSES) Biodiversitas Journal of Biological Diversity
Rokhmatuloh, Rokhmatuloh
Department Of Geography, Faculty Of Mathematics And Natural Science, Indonesia University
Aerospace Engineering Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Environmental Science Social Sciences Other

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SPATIO-TEMPORAL ANOMALIES IN SURFACE BRIGHTNESS TEMPERATURE PRECEDING VOLCANO ERUPTIONS DETECTED BY THE LANDSAT-8 THERMAL INFRARED SENSOR (CASE STUDY: KARANGETANG VOLCANO) Suwarsono; Djoko Triyono; Muhammad Rokhis Khomarudin; Rokhmatuloh
International Journal of Remote Sensing and Earth Sciences Vol. 18 No. 1 (2021)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2021.v18.a3465

Abstract

Indonesia's geological as part of the “ring of fire†includes the consequence that community life could be affected by volcanic activity. The catastrophic incidence of volcanic eruptions in the last ten years has had a disastrous impact on human life. To overcome this problem, it is necessary to conduct research on the strengthening of the early warning system for volcanic eruptions utilising remote sensing technology. This study analyses spatial and temporal anomalies of surface brightness temperature in the peak area of Karangetang volcano during the 2018-2019 eruption. Karangetang volcano is an active volcano located in North Sulawesi, with a magmatic eruption type that releases lava flow. We analyse the anomalies in the brightness temperature from channel-10 of the Landsat-8 TIRS (Thermal Infrared Scanner) time series during the period in question. The results of the research demonstrate that in the case of Karangetang Volcano the eruptions of 2018-2019 indicate increases in the surface brightness temperature of the crater region. As this volcano has many craters, the method is also very useful to establish in which crater the center of the eruption occurred.
Digital Twins and Urban Heat Island Modeling: A Systematic Review of Conceptual, Technical, and Geospatial Gaps in Next-Generation Urban Climate Systems Saipiatuddin Saipiatuddin; Rokhmatuloh Rokhmatuloh; Hayuning Anggrahita; Muhammad Dimyati
JURNAL GEOGRAFI Vol. 18 No. 1 (2026): JURNAL GEOGRAFI
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jg.v18i1.71340

Abstract

This systematic review examines the emerging integration of Digital Twin technologies with Urban Heat Island modeling to advance next-generation urban climate systems. Increasing urbanization and rising thermal stress have intensified the need for dynamic, data-driven tools capable of representing and predicting microclimate conditions in real time. Through a structured PRISMA-based screening of major scientific databases (Scopus, IEEE Xplore, ScienceDirect), 268 initial records were identified, from which 19 studies were ultimately included after systematic deduplication (25 duplicates removed) and eligibility screening (16 studies excluded: 4 lacking technical information, 10 non-urban settings, 2 non-English). These 19 studies collectively illustrate three major knowledge domains: conceptual frameworks, technical architectures, and geospatial modeling characteristics. The findings indicate that Digital Twin is progressively regarded as a real-time, adaptive digital representation of the urban environment; however, it lacks standardized definitions for climate applications (identified in 68% of reviewed studies). Technically, the integration of heterogeneous data—ranging from Internet of Things (IoT) sensors, UAV thermal imagery, and satellite-derived land surface temperatures—remains limited by challenges in latency, model calibration, data interoperability, and computational scalability (reported in 74% of studies). Geospatial analysis further highlights inconsistencies in spatial-temporal resolution and inadequate representation of suburban areas (noted in 63% of studies), constraining robust Urban Heat Island simulations across scales. Overall, this review identifies critical gaps and emerging opportunities for developing intelligent, multi-scale, and hybrid modeling approaches that combine physics-based simulations with machine learning. The findings call for harmonized Digital Twin frameworks, improved geospatial data infrastructures, and stronger interdisciplinary collaboration to support climate-resilient urban planning and adaptive heat mitigation strategies.
Diversity of Selaginella across altitudinal gradient of the tropical region AHMAD DWI SETYAWAN; JATNA SUPRIATNA; DEDY DARNAEDI; ROKHMATULOH ROKHMATULOH; SUTARNO SUTARNO; SUGIYARTO SUGIYARTO
Biodiversitas Journal of Biological Diversity Vol. 17 No. 1 (2016)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d170152

Abstract

Setyawan AD, Supriatna J, Darnaedi D, Rokhmatuloh, Sutarno, Sugiyarto. 2016. Diversity of Selaginella across altitudinal gradient of the tropical region. Biodiversitas 17: 384-400. Selaginella prefers moist environment for its growth and requires water for fertilization; therefore it is often found flourish in plateau and hilly mountains with high rainfall. The aim of this research was to know species diversity of Selaginella along altitudinal gradient in the southern part of Java, Indonesia. The research was conducted between July 2007 and January 2014across the altitudinal region of Java, Indonesia, which includes the districts of Wonosobo, Purworejo, Kebumen, Banjarnegara and its border areas, with altitudes between 0 and 2500 m. asl. The research found 12 selaginellas species, 10 species collected from field research, namely: S. aristata, S. ciliaris, S. intermedia, S. involvens, S. opaca, S. ornata, S. plana, S. repanda, S. remotifolia, and S. uncinata; and two species only known from herbarium collection of Herbarium Bogoriense (BO), namely S. singalanensis and S. willdenowii. This research was the first publication of the Selaginella flora along altitudinal gradient from the coastal area to the high mountains of Central Java, Indonesia.
Impact of climate change on potential distribution of xero-epiphytic selaginellas (Selaginella involvens and S. repanda) in Southeast Asia AHMAD DWI SETYAWAN; JATNA SUPRIATNA; DEDY DARNAEDI; ROKHMATULOH ROKHMATULOH; SUTARNO SUTARNO; SUGIYARTO SUGIYARTO; ILYAS NURSAMSI; WULAN RATNA KOMALA; PRAKASH PRADAN
Biodiversitas Journal of Biological Diversity Vol. 18 No. 4 (2017)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d180448

Abstract

Setyawan AD, Supriatna J, Darnaedi D, Rokhmatuloh, Sutarno, Sugiyarto, Nursamsi I, Komala WR, Pradan P. 2017. Impact of climate change on potential distribution of xero-epiphytic selaginellas (Selaginella involvens and S. repanda) in Southeast Asia. Biodiversitas 18: 1680-1695. Climate change is one of the greatest challenges for all life on earth, as it may become the dominant driver of changes in ecosystem services and biodiversity loss at the global level. Selaginella is a group of spike-mosses that seem easily affected by global warming (climate change) due to requiring water medium for fertilization. However, some species have been adapted to dry condition and may grow as epiphytes, such as S. involvens and S. repanda. Both species are commonly found in opposing a range of elevation. S. involvens is often found in high-altitude regions, whereas S. repanda is often found at lower-altitude regions. The difference in this altitudinal distributions is expected to limit redistribution mechanism of each species to adapt the climate change projections. This study model examines the potential geographic distribution of S. involvens and S. repanda under current climatic conditions and models the impact of projected climate change on their potential distribution. Future climate predictions are made with four detailed bioclimatic scenarios (i.e. RCP 2.6, RCP 4.5, RCP 6.0, and RCP 8.5) and three-time intervals (2030, 2050, 2080), which combine various climatic factors. In this modeling, it can be concluded that S. involvens and S. repanda can adapt to future climate change, and continue to be sustainable, although it is strongly influenced and shifting habitat distribution in some areas.
Genetic diversity and molecular differentiation among Javanese Selaginella revealed by SSR and ISSR markers AHMAD DWI SETYAWAN; JATNA SUPRIATNA; D. DARNAEDI; ROKHMATULOH ROKHMATULOH; SUTARNO SUTARNO; SUGIYARTO SUGIYARTO; SUNARTO SUNARTO; YULITA KUSUMADEWI
Biodiversitas Journal of Biological Diversity Vol. 27 No. 5 (2026)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d270520

Abstract

Abstract. Setyawan AD, Supriatna J, Darnaedi D, Rokhmatuloh, Sutarno, Sugiyarto, Sunarto, Kusumadewi Y. 2026. Genetic diversity and molecular differentiation among Javanese Selaginella revealed by SSR and ISSR markers. Biodiversitas 27 (5): d270520. https://doi.org/10.13057/biodiv/d270520. Selaginella is a highly diverse lycophyte genus in tropical Asia, yet molecular information for Indonesian taxa remains limited, particularly for evaluating species differentiation across geographically separated populations. This study assessed genetic diversity and molecular relationships among 32 Selaginella accessions representing eight recognized species and three unidentified taxonomic entities, collected mainly from Java, Indonesia, with additional materials from Bali, Lombok, and Papua. Genetic variation was analyzed using four SSR primers and five ISSR primers, which together generated 122 scorable loci, all of them polymorphic. SSR markers produced 43 loci, whereas ISSR markers generated 79 loci and contributed higher discriminatory power through greater polymorphism information content, resolving power, and marker index. Genetic similarity coefficients ranged from 0.42 to 0.93, indicating moderate to high molecular affinity among accessions. Both UPGMA clustering and principal component analysis consistently separated the major taxa, although widespread species such as S. plana and S. involvens showed moderate internal dispersion across accessions from different localities. AMOVA revealed that 80.1% of molecular variation occurred within species and 19.9% among species, with significant species-level differentiation (PhiPT = 0.199; P = 0.001). Nei's genetic distance revealed moderate molecular affinity among most Javanese taxa, whereas the Lombok and Papuan accessions occupied more divergent molecular positions. Geographic origin had little influence on the overall molecular structure, suggesting that species identity was the primary determinant of genetic differentiation. These findings demonstrate that combining SSR and ISSR markers provides a reliable molecular framework for refining taxonomy and supporting future conservation efforts for tropical Selaginella in Indonesia.
Co-Authors - Suwarsono Adhi Harmoko Saputro AHMAD DWI SETYAWAN AHMAD DWI SETYAWAN AHMAD DWI SETYAWAN Andy Indradjad Anggrahita, Hayuning Ardiansyah Ardiansyah Aris Poniman Ayom Widipaminto Ayom Widipaminto D. DARNAEDI Dedi Irawadi DEDY DARNAEDI DEDY DARNAEDI Dimyati, Ratih Dewanti Donna Monica Donna Monica Dony Kushardono Erna Sri Adiningsih Faris Zulkarnain ILYAS NURSAMSI J. Supriatna Jatna Supriatna Khomarudin, Muhammad Rokhis Kustiyo Kustiyo, Kustiyo LILIK BUDIPRASETYO Marko, Kuswantoro Masita Dwi Mandini Manessa Mochamad Irwan Hariyono Muhammad Dimyati Muhammad Rokhis Khomarudin Nurwita Mustika Sari PRAKASH PRADAN Rahmatia Susanti Ramadhani Yanidar Ratna Saraswati Ratna Sari Dewi Revi Hernina Saipiatuddin SUGIYARTO SUGIYARTO SUGIYARTO SUGIYARTO SUGIYARTO SUGIYARTO SUNARTO SUNARTO SUTARNO SUTARNO SUTARNO SUTARNO SUTARNO SUTARNO Suwarsono Suwarsono Suwarsono Tambunan, Mangapul Parlindungan Tarsoen Waryono Tarsoen Waryono, Tarsoen Triyono, Djoko Weling Suseno WULAN RATNA KOMALA Yohanes Fridolin Hestrio Yoniar Hufan Ramadhani YULITA KUSUMADEWI Yuvita Dian Safitri