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All Journal Jurnal Surya Masyarakat Jurnal Manajemen Bencana (JMB) Jurnal Surya Masyarakat JURNAL TEKNOLOGI TECHNOSCIENTIA International Journal of Artificial Intelligence and Robotics (IJAIR) Journal of Applied Geology El-Jughrafiyah : Jurnal Geografi dan Terapannya Jurnal Pengabdian Masyarakat : Pemberdayaan, Inovasi dan Perubahan JUARA: JURNAL WAHANA ABDIMAS SEJAHTERA JURNAL TEKNIK GEOLOGI : Jurnal Ilmu Pengetahuan dan Teknologi ANDIL Mulawarman Journal of Community Engagement Jurnal ilmiah teknologi informasi Asia
Muhammad Rizqy Septyandy
Universitas Mulawarman
Religion Humanities 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 Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Physics Public Health Social Sciences Other

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Determination of Paleotsunami Inundation Zone Using Finite Difference Method in Southern Coastal Lebak, Banten Muhammad Rizqy Septyandy; Shafira Selinzaskia Anwar
Jurnal Manajemen Bencana (JMB) Vol. 9 No. 1 (2023): Jurnal Manajemen Bencana (JMB)
Publisher : Republic of Indonesia Defense University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33172/jmb.v9i1.1557

Abstract

Paleotsunami deposits have been found in Indonesia, including in Pacitan, Kulon Progo, Cilacap, Pangandaran, and Sukabumi. This research aims to obtain an ideal model for determining the paleotsunami inundation zone along the southern coastal Lebak, Banten using finite difference numerical modeling through the MOST (Method of Splitting Tsunamis)-based ComMIT software. Field observations were made to identify the presence of paleotsunami deposits in the swale area on the southern coastal Lebak, Banten. Several tsunami scenarios such as Pangandaran in 2006, Indian Ocean Tsunami (IOT) in 2004, Tohoku in 2011, Sunda Strait megathrust segment, and megathrust along the south of Java were used in the modeling process to identify the characteristics of paleotsunami that were produced the tsunami deposits in the study area. Modeling is carried out using two schemes, such as using the ComMIT database unit source (subduction zone segments) and using the earthquake source parameters that are entered manually. The results show the best tsunami scenario that may have ever occurred in research area is the tsunami event with magnitude of 9.1 Mw, with maximum inundation range of 5.2 km, and run-off of up to 32 m, which is estimated as a tsunami event that precipates paleotsunami deposits in study area.
Optimalisasi Pemutakhiran Data Sarana dan Prasarana Dinas Pemadam Kebakaran dan Penyelamatan Kota Samarinda Berbasis Sistem Informasi Geografis sebagai Upaya Pengurangan Risiko Bencana Muhammad Rizqy Septyandy; Muhammad Amin Syam; Sartika Sartika; Mika Debora Br Barus
Jurnal Surya Masyarakat Vol 6, No 1 (2023): November 2023
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jsm.6.1.2023.126-134

Abstract

Samarinda is the capital city of East Kalimantan. As the capital city on the second largest island in Indonesia, Samarinda is home to 834,824 residents. A problem that often arises in densely populated cities is fire. In Samarinda, from 2015 to 2022, there have been at least 2,349 fire incidents with a burned area of 8,090,755 m2 so this city has become one of the cities that most often experience fires on Kalimantan. Several supporting facilities and infrastructure owned by the Samarinda Fire and Rescue Agency, such as hydrants and fire posts have been expanded in number. However, most of these supporting facilities have not been integrated with a good coordinate system. So, when a fire occurs, it takes time to identify the location of these vital facilities. As an effort to solve this problem, the Geological Engineering Study Program, Faculty of Engineering, Mulawarman University and Samarinda State Polytechnic of Agriculture held community engagement activities in the form of geographic information system (GIS)-based application training for Samarinda Fire and Rescue Agency officers. This program aims to provide additional competencies needed by field officers in integrating data on facilities and infrastructure such as hydrants and fire posts into the Samarinda geoportal system. Based on the results of this activity, Samarinda Fire and Rescue Agency officers are skilled in operating applications that can integrate coordinate-based facilities and infrastructure data into a geoportal system, including measuring the burned areas accurately and precisely so that fire incidents in Samarinda can be minimized.
KARAKTERISTIK DAN LINGKUNGAN PENGENDAPAN BATUBARA BERDASARKAN ANALISIS PETOGRAFI ORGANIK DAERAH GUNUNG TABUR, KABUPATEN BERAU, PROVINSI KALIMANTAN TIMUR Resty Intan Putri; Muhammad Rizqy Septyandy
JURNAL TEKNOLOGI TECHNOSCIENTIA Technoscientia Vol 16 No 2 Maret 2024
Publisher : Lembaga Penelitian & Pengabdian Kepada Masyarakat (LPPM), Universitas AKPRIND Indonesia Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/technoscientia.v16i2.4632

Abstract

Daerah penelitian berada di daerah Gunung Tabur, Kabupaten Berau, Provinsi Kalimantan Timur yang secara regional berada pada Formasi Latih. Tujuan dalam penelitian ini yaitu menentukan litotipe dan peringkat batubara, mengidentifikasi komposisi maseral dan mineral, serta menentukan lingkungan pengendapan batubara. Penelitian ini menggunakan metode petrografi organik untuk mengetahui komposisi maseral dan mineral penyusun batubara dan reflektansi vitrinit yang akan digunakan untuk menentukan peringkat batubara. Hasil pengamatan maseral akan digunakan untuk perhitungan nilai Tissue Preservation Index (TPI) dan Gelification Index (GI) yang digunakan untuk menentukan lingkungan pengendapan. Hasil analisis yang dilakukan pada daerah penelitian didapatkan bahwa batubara daerah penelitian memiliki litotipe banded bright coal dan banded dull coal serta memiliki nilai reflektansi vitrinit 0,316-0,440% yang menunjukkan peringkat batubara lignit hingga sub-bituminus C. Komposisi batubara daerah penelitian tersusun dominan oleh grup maseral huminit sebesar 86,3-94,1%, maseral inertinit sebesar 0.9-2%, maseral liptinit sebesar 3,7-11,9% dan mineral lempung, pirit serta oksida besi yang tersusun <1%. Berdasarkan hasil analisis yang telah dilakukan didapatkan bahwa batubara daerah penelitian terendapkan pada lingkungan telmatik dengan lingkungan pengendapan upper delta plain dan tipe mire yang berkembang yaitu wet forest swamp dan calstic marsh.
Optimizing Long Short-Term Memory to Predict Currency Rates Lubis, Yarham Syahabi; Rizqy Septyandy, Muhammad; Debora Br Barus, Mika
International Journal of Artificial Intelligence & Robotics (IJAIR) Vol. 5 No. 2 (2023): November 2023
Publisher : Informatics Department-Universitas Dr. Soetomo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25139/ijair.v5i2.7318

Abstract

As a travel destination, Saudi Arabia attracts individuals worldwide, including tourists, investors, and immigrant workers, for various purposes, including trip planning, investment decisions, and remittance transfers. Indonesia and Pakistan are the biggest countries that send Umrah and Hajj pilgrims. We need to predict currency rates in 3 pairs of currencies that are frequently used by travel agencies, Hajj and Umrah pilgrims, such as the Saudi Riyal (SAR) against the Pakistani Rupee, the SAR against the Indonesian Rupiah (IDR), and the United States Dollar (USD) against the IDR. This study utilizes Long Short-Term Memory (LSTM) models, the machine learning approach for predicting currency pairs exchange rates. Previous studies succeeded in predicting USD/IDR rates using the LSTM time series-machine learning approach, but the root mean square error (RMSE) value was the worst 271. The research aims to optimize the LSTM to predict the currency rate in the future using historical data obtained from investing.com. We use Python to predict the currency rate pairs, following an experimental investigation with adjustments to the batch size, epoch, and prediction days. The experimental results show that SAR/PKR has a smaller mean square error (MSE) of 0.94, RMSE of 0.97, and MAE of 0.61, while SAR/IDR and USD/IDR Excel with Models 2 and 1 have smaller MSEs of 317.79 and 6654.41, RMSEs of 17.82 and 81.57, and MAEs of 10.54 and 50.12, respectively.
Flood Disaster Prediction Model Using Long Short-Term Memory (LSTM) in Pekalongan, Central Java. Asrofi, Muhammad; Septyandy, Muhammad Rizqy; Indra, Tito Latif
Journal of Applied Geology Vol 8, No 2 (2023)
Publisher : Geological Engineering Department Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jag.92417

Abstract

Pekalongan is located in the northern part of Java Island, directly adjacent to the sea in the north. Natural disasters that often occur in Pekalongan are floods, especially in the north of the area, which has a height of 0 meters above sea level. In addition, Pekalongan also has a relatively low land slope of around 0 – 5%, which makes it challenging to distribute water and construct drainage. This study aims to be able to perform predictive modeling of flood-prone areas for the next five years. This study used eight parameters: rainfall, elevation, slope, distance to the river, distance to the sea, groundwater table to surface, soil type, and land use. This research used the Long Short-Term Memory (LSTM) method to predict rainfall parameters using the Python programming language with Jupyter Notebook software. Later, the data will be used as training and test data. Training data testing and tests are conducted to find the minimum failure or error value. The weight scoring method is carried out on each parameter to indicate areas with a high flood vulnerability level. The results showed that Pekalongan has a medium to very high vulnerability level, with a dominant high vulnerability level. The very high level of vulnerability is prevalent in the northern part of the research area, which is directly adjacent to the sea or in the North Pekalongan District. Floods that occur in the northern part of the study area are not only due to high levels of rainfall but can also occur due to the inflow of seawater towards the mainland resulting from high tides and high sea waves. The southern region of the study area has a smaller vulnerability level than the northern region, which has a medium to high vulnerability level.Keywords: Flood ∙ Hazard ∙ Precipitation ∙ LSTM ∙ Rainfall
Pemanfaatan Teknologi Ecoprint Busana Modern sebagai Upaya Pelestarian Lingkungan dan Peningkatan Pendapatan Masyarakat di Kelurahan Tanah Merah Kota Samarinda Br Barus, Mika Debora; Zamroni, Ahmad; Rahman, Mujibu; Pratama, Adnan Putra; Aryani, Farida; Septyandy, Muhammad Rizqy; Sofyan A. P., Andi Baso; Darma Nasution, Dito Aditia
Jurnal Surya Masyarakat Vol 7, No 1 (2024): November 2024
Publisher : Universitas Muhammadiyah Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jsm.7.1.2024.46-52

Abstract

Ecoprint techniques have shifted to dyeing and patterning textiles. Ecoprint is a dyeing process that forms an image on fabric using leaf structures and produces patterns. This community empowerment activity aims to increase the knowledge and competence of mothers in Tanah Merah Subdistrict, Samarinda City, by using new Ecoprint technology to protect the environment and increase community income, implementing the activity through persuasive teaching methods with stages of preparation, coordination, implementation and assessment. The activity results show that 1) the knowledge of housewives in Tanah Merah Subdistrict, Samarinda City, has increased about using natural dyes in plants that are good to buy through ecoprint. 2) Increasing the awareness of housewives in Tanah Marah Subdistrict, Samarinda City, about transforming plants into natural dyes using primissima mori cloth as a creative project. 3) Increasing the knowledge and work of housewives in Tanah Merah Subdistrict, Samarinda City, regarding the processing and production environment using natural dyes. With the results of this activity, it is hoped that it can protect the environment and increase community income. 
Determination of Liquefaction Hazard in Samarinda Using Fuzzy-GIS Method Rachmadi, Ari; Septyandy, Muhammad Rizqy; Syam, Muhammad Amin
EL-JUGHRAFIYAH Vol 4, No 2 (2024): El-Jughrafiyah : August, 2024
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jej.v4i2.33050

Abstract

The phenomenon of liquefaction is the transformation of coarse-grained soil from a solid to a liquid state, resulting in a reduction in the bearing capacity of the soil due to an increase in hydrostatic pressure due to a sudden high cyclic load. Liquefaction usually occurs during an earthquake, where earthquake-triggering factors, ground acceleration, water table depth, overburden pressure, soil density, and soil type are used as input data. A fuzzy-GIS approach is used to combine these factors to map liquefaction potential. This method produced a preliminary map of liquefaction potential in Samarinda City. Validation of the Fuzzy-GIS model used field test data to assess liquefaction potential. The technique used in determining the liquefaction hazard zone in Samarinda is fuzzy-GIS processing with the results of field data calculations in CPT tests. The research results are accurate maps of the liquefaction hazard zone of the Samarinda region based on field data validation and Fuzzy-GIS analysis results. Based on the results of this research, the Samarinda area is divided into four zones of liquefaction hazard, ranging from very low to very low and medium to high. This research results in a map of potential liquefaction risk with more than 90% accuracy for prevention and mitigation in Samarinda City.
Analysis of Flood Hazards in Premiere Hills Housing and Surroundings Using the Weighted Overlay Method, Sungai Kunjang District, Samarinda City Farid, Muh; Septyandy, Muhammad Rizqy; Heriyanto, Heriyanto
JURNAL TEKNIK GEOLOGI : Jurnal Ilmu Pengetahuan dan Teknologi Vol 6, No 2 (2023): Jurnal Teknik Geologi : Ilmu Pengetahuan dan Teknologi
Publisher : Teknik Geologi Fakultas Teknik Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/jtgeo.v6i2.17159

Abstract

This research was conducted in Sungai Kunjang District, Samarinda City, East Kalimantan Province. Based on the regional geology of Samarinda, this location is included in the stratigraphy of the Kutai Basin with the Balikpapan and Balang Island Formations. This research focuses on determining the flood hazard areas around the Premiere Hills housing complex. The research method used is weighted overlay using spatial analysis, which overlays several maps related to factors that influence vulnerability assessment. The analytical tool used is the Geographic Information System (GIS). Each parameter is given a weight by scoring each parameter, namely land use, elevation, river buffer, rainfall, soil type, and slope slope. An overlay is carried out to obtain the classes of flood hazards. Then, field verification is carried out to determine whether the areas on the flood hazard map match those in the field, especially in areas with a high level of flood hazard. In the analysis results obtained using the weighted overlay method, the research area has a relatively high level of flood danger, which can be seen on the hazard map, where the colour red dominates compared to areas that have a low or medium level of flood danger, which are marked with green and yellow on the map. Based on the analysis results of areas with high flood hazards, verification is carried out to see whether the areas with high flood hazards follow those in the field. It can be seen from this verification that three points are taken, which are areas where flooding often occurs, characterized by low elevation and have poor drainage channels that prevent water from flowing properly
Penentuan Model Total Organic Carbon dengan Menggunakan Metode Artificial Neural Network dan Adaptive Neuro Fuzzy Inference System untuk Estimasi Potensi Gas Serpih di Cekungan Jawa Barat Utara Muhammad Rizqy Septyandy; Eddy Ariyono Subroto; Aveliansyah Aveliansyah
Jurnal Ilmiah Teknologi Informasi Asia Vol 17 No 1 (2023): Volume 17 Nomor 1 (8)
Publisher : LP2M INSTITUT TEKNOLOGI DAN BISNIS ASIA MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jitika.v17i1.889

Abstract

Gas serpih adalah jenis gas alam yang dihasilkan dan terperangkap dalam batuan serpih yang kaya material organik. Potensi sebagai batuan induk gas serpih harus dibuktikan melalui analisis geokimia. Analisis geokimia hidrokarbon meliputi parameter kekayaan/total karbon organik (TOC), kematangan, dan jenis kerogen. Parameter kekayaan (TOC) hanya tersedia untuk empat sumur (SA-13, SA-11, E-5, dan JB-7), sehingga TOC sintetik harus dimodelkan. Artificial Neural Network (ANN) dan Adaptive Neuro Fuzzy Inference System (ANFIS) adalah jenis kecerdasan artifisial yang memberikan cara paling efektif untuk menentukan nilai TOC di sumur tanpa data hasil analisis laboratorium. Metode ANN adalah metode terbaik di Sub-cekungan Arjuna Selatan, E15, dan Jatibarang bagian barat dengan nilai korelasi 0,98. Metode ANFIS adalah metode terbaik di Jatibarang bagian timur dengan nilai korelasi mencapai 0,88.
Media Buku Pop-Up Bencana untuk Edukasi Peningkatan Kapasitas Bencana Sekolah di Kota Samarinda Septyandy, Muhammad Rizqy; Ayuningtyas, Pridawanti; Abdillah, Aji Muhammad Rifqi; Shinta, Diftania Avanda Ayu
Jurnal Pengabdian Masyarakat: Pemberdayaan, Inovasi dan Perubahan Vol 5, No 3 (2025): JPM: Pemberdayaan, Inovasi dan Perubahan
Publisher : Penerbit Widina, Widina Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59818/jpm.v5i3.1474

Abstract

Samarinda experienced many disasters from 2017-2022, including floods that submerged thousands of homes and schools, landslides that damaged infrastructure, and fires. There needs to be genuine efforts to reduce the risk of these disasters, one of which is increasing the capacity of school communities in elementary and secondary education units in Samarinda. The purpose of community service activities by the Faculty of Engineering, Universitas Mulawarman, in collaboration with the BPBD of Samarinda, is to increase disaster capacity of the school residents. The implementation method is done through educational media in the form of pop-up disaster books that are easy for all school residents to understand. The results show that after the community service program was carried out, there was an increase in teacher and student skills related to disaster preparedness and independent disaster mitigation efforts in Samarinda, which were obtained based on pre-test and post-test assessments. This activity contributes to recognizing potential disasters that can occur in Samarinda to reduce disaster risk in Samarinda, especially in elementary and secondary education units.ABSTRAKKota Samarinda banyak mengalami bencana dalam kurun waktu 2017-2022, antara lain banjir yang merendam ribuan rumah dan sekolah, tanah longsor yang merusak infrastruktur, serta kebakaran. Perlu adanya upaya nyata terkait pengurangan risiko bencana tersebut yang salah satunya dengan peningkatan kapasitas warga sekolah di satuan pendidikan dasar dan menengah yang ada di Kota Samarinda. Tujuan dari kegiatan pengabdian kepada masyarakat yang dilakukan oleh Fakultas Teknik Universitas Mulawarman bekerja sama dengan BPBD Kota Samarinda berfokus pada peningkatan kapasitas bencana untuk warga sekolah. Metode pelaksanaan dilakukan melalui pemanfaatan media edukasi buku pop-up bencana yang mudah dipahami oleh semua warga sekolah. Hasil menunjukkan bahwa setelah dilakukan program pengabdian kepada masyarakat terdapat peningkatan keterampilan guru dan siswa terkait kesiapsiagaan terhadap bencana dan upaya mitigasi bencana secara mandiri di Kota Samarinda yang diperoleh berdasarkan penilaian pra-tes dan pasca-tes. Kegiatan ini berkontribusi terhadap pengenalan potensi bencana yang dapat terjadi di Kota Samarinda sebagai upaya pengurangan risiko bencana di Kota Samarinda khususnya di satuan pendidikan dasar dan menengah.
Co-Authors Abdillah, Aji Muhammad Rifqi Adnan Putra Pratama Aji Wira Ksatria Alfiani, Nadia Putri Arafah, Andi Asrafiani Aveliansyah Aveliansyah Aveliansyah Aveliansyah Ayuningtyas, Pridawanti Bimasakti Cahyo Utomo Cristin, Angelia Darmasetiadi, Doni Dito Aditia Darma Nasution Eddy Ariyono Subroto Farid, Muh Farida Aryani Fira, Aulia Almag Hajrah Hamka, Alifia Nur As Syifa Heriyanto Heriyanto Indra Dewi Sanjaya Laksono, Yulius Dwi Lubis, Yarham Syahabi Manullang, Pedrico Partogi Maulana Al Amin Mika Debora Br Barus Muftia Muhamad Fadly Arif Muhammad Akbar Nugraha Muhammad Amin Syam Muhammad Asrofi, Muhammad Natalie Fuad Nurul Vita Azizah Putri, Pasha Aprila Rachmadi, Ari Rahman, Mujibu Resty Intan Putri Riyanti, Ririt Ryan Andreas Sartika Sartika Shafira Selinzaskia Anwar Shinta, Diftania Avanda Ayu Silva Jen Retno Sofyan A. P., Andi Baso Sugeng Santoso Tito Latif Indra Trisnaweldy Manurung Vera Indriani Wellyanus Paladan Wiridtanaya, Dina Aulia Wulandari, Ridhanti Zamroni, Ahmad