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All Journal Bumi Lestari Jurnal Pengembangan Energi Nuklir Jurnal Sains dan Teknologi Nuklir Indonesia (Indonesian Journal of Nuclear Science and Technology) Jurnal Matematika & Sains ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Jurnal Teknik Sipil Jurnal Meteorologi Klimatologi dan Geofisika Jurnal Kreativitas PKM Jurnal Sains Dirgantara JURNAL METEOROLOGI DAN GEOFISIKA Jurnal Aplikasi Statistika & Komputasi Statistik Indonesian Physical Review Jurnal Meteorologi dan Geofisika Journal of Informatics and Advanced Computing
Deni Septiadi
Sekolah Tinggi Meteorologi, Klimatologi Dan Geofisika (STMKG)
Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences

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PROYEKSI POTENSI ENERGI SURYA SEBAGAI ENERGI TERBARUKAN (STUDI WILAYAH AMBON DAN SEKITARNYA) Deni Septiadi; Pieldrie Nanlohy; M. Souissa; Francis Y. Rumlawang
Jurnal Meteorologi dan Geofisika Vol 10, No 1 (2009)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (634.518 KB) | DOI: 10.31172/jmg.v10i1.30

Abstract

Indonesia merupakan negara yang melimpah akan energi surya dilihat dari letak yang potensial migrasi tahunan matahari. Pemanfaatan energi fosil sampai saat ini cukup mengkhwatirkan karena semakin menipisnya sumber energi disamping efek negatif yang ditimbulkannya akibat meningkatnya konsentrasi Gas Rumah Kaca (GRK). Peningkatan GRK akan memicu meningkatnya suhu permukaan dan menciptakan lingkungan tidak kondusif. Matahari sebagai sumber energi terbesar seharusnya dapat dimanfaatkan secara optimal untuk wilayah Indonesia. Diversifikasi energi merupakan langkah yang harus ditempuh untuk mendapatkan sumber lain sehingga mengurangi ketergantungan akan sumber fosil. Untuk mendapatkan gambaran riil akan energi surya tersebut perlu dilakukan analisis spasial distribusi potensi energi matahari untuk wilayah Indonesia keseluruhan dan Ambon secara khusus. Dengan melakukan kombinasi antara teknik Kriging dan metode iterasi Point Successive Over-Relaxation (PSOR) diharapkan memperlihatkan proyeksi pemetaan dengan resolusi yang lebih  baik. Sebelumnya dilakukan optimalisasi data sekunder dengan model Curve Fitting. Indonesia is a country which excessive energy resources of solar showed by potential position of solar annual migration. Until this time fossil energy consumption so apprehensively, its because decreasing of energy resources besides negative effect of increasing Greenhouse Gases concentrate, that is increasing of surface temperature and creates inconducive  environment. Sun as the biggest  energy resource should be use optimally for Indonesia area. Diversification of energy is a final step to get another resources so release us of dependently fossil resources. For real description of solar energy, it needs spatial analysis of potential distribution of solar energy  for Indonesia area particularly Ambon. By using combination between Kriging technique and iteration methods, Point Successive Over-Relaxation (PSOR), hoped indicates mapping projection with better resolution. Early by optimalisize secondary data using Curve Fitting models.
KARAKTERISTIK PETIR TERKAIT CURAH HUJAN LEBAT DI WILAYAH BANDUNG, JAWA BARAT Deni Septiadi; Safwan Hadi
Jurnal Meteorologi dan Geofisika Vol 12, No 2 (2011)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (251.936 KB) | DOI: 10.31172/jmg.v12i2.97

Abstract

Tulisan ini mencoba untuk menganalisis aktivitas petir menggunakan Lightning Detector sepanjang tahun 2009 dengan radius sekitar 10 km sekitar Bandung. Tujuan analisis adalah untuk identifikasi potensi hubungan antara parameter petir yaitu Cloud-to-Ground (CG) dengan curah hujan lebat di atas 50 mm/hari. Hasil analisis menunjukkan hubungan yang kuat antara CG dan curah hujan lebat serta dominasi CG- (66.1%) sepanjang musim dengan puncak aktivitas pada MAM (43.6%). Pemahaman akan keganjilan aktivitas kilat akan memberikan informasi penting dalam struktur, pertumbuhan awan, labilitas atmosfer ataupun sebagai warning (peringatan) cuaca ekstrim. The objective of this paper is to analyze the lightning activities using Lightning Detector during the year 2009 with a radius about 10 km around Bandung. The purpose of this analysis is to identify potential relationships between lightning parameters i.e Cloud-to-Ground (CG) with torrential rainfall more than 50 mm/day. The results showed a strong relationships between CG and torrential rainfall and dominance of CG- (66.1%) throughout the season with a  peak at MAM (43.6%). Understanding of the peculiarities of lightning activity will provide important information in the structure, the growth of clouds, atmospheric labilitas or as a warning extreme weather.
THE ANALYSIS OF LAPSE RATE PROFILE IN THE SITE CANDIDATE OF NUCLEAR POWER PLANT (NPP) AT GOSONG BEACH, BENGKAYANG REGENCY– WEST KALIMANTAN Deni Septiadi; Agung Hari Saputra; Rista Hernandi Virgianto; Arif Yuniarto; Muhammad Elifant Yuggotomo
Jurnal Sains dan Teknologi Nuklir Indonesia (Indonesian Journal of Nuclear Science and Technology) Vol 23, No 1 (2022): February 2022
Publisher : HIMNI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17146/jstni.2022.23.1.6578

Abstract

The lapse rate profile in the site candidate for the Nuclear Power Plant (NPP) at Gosong Beach Bengkayang, has been investigated to obtain a description of the lability of the atmosphere and upper air as part of a meteorological aspect safety study in the plan to develop a NPP site. The study of the lapse rate was carried out using air data on the reanalysis of the Global Data Assimilation System (GDAS) by extracting air temperature data at each altitude level so as to obtain a lapse rate of up to 25 km. Daily data was processed during 2021 and transformed in the monthly average profile data to describe the lapse rate profile in January – December 2021. Tropopause was identified with average altitude about 16.6 km and stratosphere at 20.5 km with a lapse rate about -0.21 ℃/100 m. The surface layer to 200 m have lapse rate from 0.7 ℃/100 m - 0.9 ℃/100 m at 00.00 Universal Time Coordinated (UTC) and 0.5 ℃/100 m -0.6 ℃/100 m at 12.00 UTC
IDENTIFIKASI MESOSCALE CONVECTIVE COMPLEX (MCC) DAN DAMPAKNYA TERHADAP CURAH HUJAN DI BENUA MARITIM INDONESIA (BMI) SEPANJANG TAHUN 2018 Deni Septiadi; Yudhi Nugraha Septiadi
Jurnal Meteorologi dan Geofisika Vol. 20 No. 2 (2019)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/jmg.v20i2.645

Abstract

One year observation of Mesoscale Convective Complexes (MCCs) over the Indonesian Maritime Continent (BMI) and its impact to the rainfall are analyzed. This study is focused on the area of BMI where the MCCs formed and then the criteria are identified based on the size, initiate, duration, shape, and the eccentricity.  In term of rainfall, this research also confirm that MCCs  will have an impact to the rainfall distribution around the MCCs area.  The first MCCs was developed on March, 15 and covered 348,410 km2 of the area. The most significant of MCCs was contributed to a 108 mm of rainfall occurs on December, 28 with 11 hours of duration and covered 771,448 km2 of area. The lag-time between rainfall and the mature stage of MCCs could be 1-3 hours.  Furthermore, all initiations of the MCC occurred at night with a duration of between 8-15 hours. Throughout the MCCs event,  top cloud of temperature derived by the Multi-functional Transport Satellite (MTSAT)-IR imagery could reached the temperature < -85 °C. Keywords : MCCs, BMI, rainfall, cloud
The Utilization of Model Output Statistic (MOS) in Improving Weather Prediction Model Accuracy of Integrated Forecasting System (IFS) Isnaini Anjelina Ramadhan; Deni Septiadi
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 16 No 2 (2024): Jurnal Aplikasi Statistika & Komputasi Statistik
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/jurnalasks.v16i2.732

Abstract

Introduction/Main Objectives: Integrated Forecasting System (IFS) is one of the most accurate numerical weather prediction (NWP) model for Indonesia region. Background Problems: However, in fact, each model always has bias potential against observation which causes inaccuracy in weather prediction. Novelty: This research intends to overcome this problem by building a weather prediction model based on Model Output Statistic (MOS) to minimize bias and improve NWP accuracy. Research Methods: Provide an outline of the research method(s) and data used in this paper. Explain how did you go about doing this research. Again, avoid unnecessary content and do not make any speculation(s). Finding/Results: Analysis result states that compared to IFS, MOS fluctuation pattern is more relevant to observation. MOS has higher correlation to observation and lower error. However, the variance of observation value tends to be better represented by IFS. The test result of heavy rain cases prove that the application of MOS is able to provide fairly accurate prediction. This weather prediction will be able to be the basis for decision-making and preventive measure in dealing with extreme condition that may occur.
Rancangan dan Implementasi Sistem Monitoring Bencana Frost (Embun Beku) JUFRI, RAVYDO ANGGARA; NUGROHO, HAPSORO AGUNG; KRISTIANTO, ARIES; SEPTIADI, DENI; VIRGIANTO, RISTA HERNANDI; NUGRAHEINI, IMMA REDHA; SOEGIARTO, ITA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 12, No 2: Published April 2024
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v12i2.288

Abstract

ABSTRAKDaerah dataran tinggi Dieng merupakan wilayah terdampak fenomena embun beku selama musim kemarau. Fenomena ini menjadi ancaman serius bagi petani di wilayah tersebut dikarenakan embun beku dapat merusak tanaman dan merugikan hasil panen. Dalam penelitian ini, sebuah sistem deteksi embun beku dirancang untuk mengidentifikasi dan mengetahui keberadaan embun beku pada pertanian secara real-time. Hasil pengujian di lokasi menunjukkan bahwa sistem mendeteksi kondisi “Waspada”, kemudian mengirimkan notifikasi dan peringatan ke website, saat nilai output dari sensor DHT22 menunjukan suhu udara bernilai 1°C, kelembaban udara bernilai 91%, suhu titik embun bernilai 0°C, nilai output sensor anemometer menunjukkan kecepatan angin bernilai 5.12 m/s, serta nilai ouput sensor wind vane direction menunjukan arah angin di 331°.Kata kunci: embun beku, pertanian, sistem monitoring, dieng ABSTRACTThe Dieng plateau area is an area affected by frost phenomena during the dry season. This phenomenon poses a serious threat to farmers in the region as frost can damage crops and harm yields. In this research, a frost detection system is designed to identify and know the presence of frost on agriculture in real-time. The results of on-site testing show that the system detects "Alert" conditions, then sends notifications and alerts to the website, when the output value of the DHT22 sensor shows the air temperature is 1°C, the air humidity is 91%, the dew point temperature is 0°C, the anemometer sensor output value shows the wind speed is 5.12 m/s, and the wind vane direction sensor output value shows the wind direction at 331°.Keywords: frost, agriculture, monitoring system, dieng
SIMULASI REKAYASA LALU LINTAS MENGGUNAKAN ALGORITMA EVOLUTIONARY COMPUTATION (STUDI KASUS: SIMPANG SENGON DEPOK) Deni Septiadi; Febri Maspiyanti
Journal of Informatics and Advanced Computing (JIAC) Vol 2 No 1 (2021): Journal of Informatics and Advanced Computing
Publisher : Teknik Informatika Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Peran transportasi terhadap perkembangan wilayah dapat berdampak pada aspek-aspek kehidupan di wilayah tersebut. Dampak yang paling terlihat dan terasa akibat gagalnya peran transportasi pada suatu wilayah adalah padatnya volume arus lalu lintas. Keadaan tersendatnya atau bahkan terhentinya lalu lintas yang disebabkan oleh banyaknya jumlah kendaraan melebihi kapasitas jalan inilah yang disebut dengan kepadatan volume arus lalu lintas. Hal ini terjadi pada simpang Sengon Depok, dimana volume arus lalu lintas dipengaruhi oleh pengaturan waktu lampu lalu lintas pada simpang Sengon Depok yang belum maksimal dalam penerapan time traffic yang sesuai dengan keadaan kendaraan yang melewati persimpangan. Penelitian ini membuat simulasi lalu lintas dengan studi kasus pada simpang Sengon Depok tersebut. Data penelitian yang digunakan berupa data sekunder dari Dinas Perhubungan Kota Depok. Simulasi rekayasa lalu lintas ini menerapkan algoritma evolutionary computation. Penelitian ini mendapatkan hasil perhitungan berupa nilai fitness terbaik 0.71366. Hasil dari penelitian ini bisa menyelesaikan jumlah kendaraan berdasarkan data Dinas Perhubungan Kota Depok dalam waktu 5 sampai 10 menit dari waktu sebelumnya yaitu 15 menit.
SIMULASI REKAYASA LALU LINTAS MENGGUNAKAN ALGORITMA EVOLUTIONARY COMPUTATION (STUDI KASUS: SIMPANG SENGON DEPOK) Deni Septiadi; Maspiyanti, Febri
Journal of Informatics and Advanced Computing (JIAC) Vol 2 No 1 (2021): Journal of Informatics and Advanced Computing
Publisher : Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35814/jiac.v2i1.2688

Abstract

Peran transportasi terhadap perkembangan wilayah dapat berdampak pada aspek-aspek kehidupan di wilayah tersebut. Dampak yang paling terlihat dan terasa akibat gagalnya peran transportasi pada suatu wilayah adalah padatnya volume arus lalu lintas. Keadaan tersendatnya atau bahkan terhentinya lalu lintas yang disebabkan oleh banyaknya jumlah kendaraan melebihi kapasitas jalan inilah yang disebut dengan kepadatan volume arus lalu lintas. Hal ini terjadi pada simpang Sengon Depok, dimana volume arus lalu lintas dipengaruhi oleh pengaturan waktu lampu lalu lintas pada simpang Sengon Depok yang belum maksimal dalam penerapan time traffic yang sesuai dengan keadaan kendaraan yang melewati persimpangan. Penelitian ini membuat simulasi lalu lintas dengan studi kasus pada simpang Sengon Depok tersebut. Data penelitian yang digunakan berupa data sekunder dari Dinas Perhubungan Kota Depok. Simulasi rekayasa lalu lintas ini menerapkan algoritma evolutionary computation. Penelitian ini mendapatkan hasil perhitungan berupa nilai fitness terbaik 0.71366. Hasil dari penelitian ini bisa menyelesaikan jumlah kendaraan berdasarkan data Dinas Perhubungan Kota Depok dalam waktu 5 sampai 10 menit dari waktu sebelumnya yaitu 15 menit.
EVALUATING SURFACE TEMPERATURE VARIABILITIES AND CLIMATE EXTREMES IN THE DIENG PLATEAU OVER THREE DECADES Nugraheni, Imma Redha; Virgianto, Rista Hernandi; Kristianto, Aries; Septiadi, Deni; Nugroho, Hapsoro Agung; Soegiarto, Ita; Radjab, Fachri
Indonesian Physical Review Vol. 8 No. 2 (2025)
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/ipr.v8i2.493

Abstract

This study examines long-term surface temperature variability and climate extremes in the Dieng Plateau, Central Java, from 1991 to 2022. Despite its tropical location, the region’s unique high-altitude microclimate, with frequent frost events, has raised concerns for local agriculture, particularly potato farming. However, limited observational data has constrained in-depth assessments. To address this, we used bias-corrected ERA5 reanalysis data, calibrated using hourly observations from an Automatic Weather Station (AWS) installed in 2021. The analysis focused on climatological trends and temperature-related extreme indices following the Expert Team on Climate Change Detection and Indices (ETCCDI) framework. Our findings indicate seasonal patterns in diurnal temperatures, with JJA (June–August) exhibiting the greatest variability and the lowest night time temperatures, conditions favorable to frost formation. Among the extreme indices, warmest night temperatures (TNx) increased significantly at a rate of 0.017°C/year (p < 0.01), while coldest night temperatures (TNn) showed a slight but significant decline. The frequency of warm nights (TN90p) rose by 0.242 days/month, while cold nights (TN10p) decreased by 0.161 days/month. Meanwhile, trends for warm days (TX90p), cold days (TX10p), and cold spell duration (CSDI) were statistically insignificant. These results highlight the plateau’s sensitivity to night time warming and the potential risk of climate-driven shifts in frost occurrence. The combination of high-resolution reanalysis data and extreme indices offers valuable insight into microclimate behavior in tropical highlands, with direct implications for frost risk management and climate adaptation strategies in vulnerable agricultural zones.
Peningkatan Literasi Perubahan Iklim terhadap Sektor Wisata dan Kesehatan di Kelurahan Tuban Provinsi Bali Veanti, Desak Putu Okta; Septiadi, Deni; Darmawan, Yahya
Jurnal Kreativitas Pengabdian Kepada Masyarakat (PKM) Vol 7, No 10 (2024): Volume 7 No 10 (2024)
Publisher : Universitas Malahayati Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33024/jkpm.v7i10.17526

Abstract

ABSTRAK Topik perubahan iklim telah menjadi perhatian global, terutama terkait dampaknya terhadap berbagai sektor, termasuk pariwisata dan kesehatan. Kelurahan Tuban, Bali, yang merupakan salah satu destinasi wisata utama, menghadapi ancaman serius dari dampak perubahan iklim seperti kenaikan permukaan laut dan erosi pantai. Penelitian ini bertujuan untuk meningkatkan literasi masyarakat terkait perubahan iklim di sektor wisata dan kesehatan melalui kegiatan pelatihan dan diskusi kelompok terfokus (Forum Group Discussion). Data dikumpulkan melalui survei pre-test dan post-test yang dilakukan pada peserta pelatihan untuk mengukur pemahaman sebelum dan sesudah kegiatan. Metode yang digunakan adalah pelatihan dengan pendekatan partisipatif, melibatkan 30 peserta dari perangkat masyarakat setempat. Hasil penelitian menunjukkan peningkatan pemahaman yang signifikan terkait mitigasi dan adaptasi perubahan iklim, terutama dalam penerapan manajemen risiko dan pemeliharaan lingkungan. Kesimpulannya, pelatihan ini berhasil meningkatkan kapasitas masyarakat dalam menghadapi tantangan perubahan iklim dan mendukung keberlanjutan sektor pariwisata serta kesehatan di Kelurahan Tuban. Kata Kunci: Perubahan Iklim, Mitigasi, Adaptasi, Pariwisata, Kesehatan  ABSTRACT Climate change has become a global concern, especially due to its impact on various sectors, including tourism and health. Tuban Village, Bali, a key tourist destination, is facing serious threats from climate change, such as rising sea levels and coastal erosion. This study aims to improve the community's understanding of climate change in the tourism and health sectors through training and Focused Group Discussions (FGD). Data was collected through pre-test and post-test surveys with participants to measure their understanding before and after the activities. The method used was participatory training, involving 30 local community members. The results showed a significant improvement in their understanding of climate change mitigation and adaptation, especially in risk management and environmental preservation. In conclusion, the training successfully increased the community’s ability to deal with climate change challenges and support the sustainability of tourism and health sectors in Tuban Village. Keywords: Climate Change, Mitigation, Adaptation, Tourism, Health
Co-Authors Agung Hari Saputra Arief Yuniarto Aries Kristianto Arif Yuniarto Arif Yuniarto Arno Adi Kuntoro Atika Lubis Bayong Tjasyono Bayong Tjasyono Febri Maspiyanti Francis Y. Rumlawang Hadi Suntoko Hapsoro Agung Nugroho Isnaini Anjelina Ramadhan JUFRI, RAVYDO ANGGARA Kusumo, Irlando M. Souissa Maspiyanti, Febri Muhammad Elifant Yuggotomo Noor, Riza Arian NUGRAHEINI, IMMA REDHA Nugraheni, Imma Redha Pieldrie Nanlohy Radjab, Fachri Rista Hernandi Virgianto Rully Affandi Safwan Hadi Safwan Hadi Soegiarto, Ita Tias Ravena Maitsa Veanti, Desak Putu Okta Widodo, Anton Yahya Darmawan Yudhi Nugraha Septiadi