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ANALISA KARAKTERISTIK BIODIESEL NYAMPLUNG Darmanto, Seno; Sediono, Windu; Sarwoko, Sarwoko; Triyatno, Triyatno
Gema Teknologi Vol 16, No 4 (2012): October 2011 - April 2012
Publisher : Vocational School Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (36.37 KB) | DOI: 10.14710/gt.v16i4.4784

Abstract

Seno Darmanto, Windu Sediono, Sarwoko, Triyatno, in this paper explain that making of callophylum inophylum biodiesel fuel is done alkaly transesterification methode. Alkaly transesterification methode use methanol and basa (NaOH) of catalist. Procedur and setting of research that is consisted in material selection, treatment and setting of composition of methanol and catalist, operational temperature, reaction time, speed and mixer technical will effect quality and conversion level of callophylum inophylum biodiesel. And based data analyzer show that conversion of callophylum inophylum biodiesel can reach 90%. Properties of callophylum inophylum biodiesel show viscosity and flash point of callophylum inophylum biodiesel is ligthly higher than diesel fuel. And caloric value of callophylum inophylum biodiesel is slightly lower than diesel fuel. Key words: callophylum inophylum, biodiesel, properties, transesterification.
MAPPING THE DISTRIBUTION OF SEAGRASS IN NIRWANA BEACH, PADANG CITY USING SENTINEL-2 IMAGERY Sepriani, Nur Astri; Arif, Dian Adhetya; Iswandi, Iswandi; Triyatno, Triyatno
International Remote Sensing Applied Journal Vol 4 No 2 (2023): International Remote Sensing Application Journal (December Edition 2023)
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/irsaj.v4i2.47

Abstract

Seagrass (Lamun) is a flowering plant (Angiospermae) that thrives in shallow marine environments. Seagrass meadows play a crucial role in aquatic ecosystems, and the degradation or loss of seagrass can impact the balance of these ecosystems. The use of remote sensing technology in mapping the distribution of seagrass beds can support monitoring efforts and contribute to the conservation and protection of marine ecosystems. This research aims to map and measure the extent of seagrass beds in Nirwana Beach, Padang City, in the year 2022. The method employed involves using Sentinel-2A imagery from 2022 and the Object-Based Image Analysis (OBIA) approach for seagrass detection. The Sentinel-2A imagery is processed using ArcGIS and eCognition software, including atmospheric correction, data clipping, composite image creation, segmentation, image classification, and accuracy assessment. The results of processing the Sentinel-2A data in 2022 for Nirwana Beach, Padang City, indicate that seagrass beds are distributed along the Nirwana Beach area, particularly in the eastern and southern regions. The detected seagrass bed covers an approximate area of 25.06 hectares. The use of Sentinel-2A imagery with the OBIA method has proven to be effective in detecting the distribution of seagrass beds in Nirwana Beach, Padang City.
IDENTIFICATION OF LAND USE CHANGES USING THE OBJECT BASED IMAGE ANALYSIS (OBIA) METHOD IN BUNGUS TELUK KABUNG DISTRICT Wahyuni, Sri Agustia; Fitriawan, Dedy; Triyatno, Triyatno; Arif, Dian Adhetya
International Remote Sensing Applied Journal Vol 4 No 2 (2023): International Remote Sensing Application Journal (December Edition 2023)
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/irsaj.v4i2.48

Abstract

Object-based image analysis (OBIA) is an image classification that considers not only the spectral aspects of objects, but also their spatial aspects. This classification is guided by objects that have distribution patterns from object samples which are used as references for their accuracy. However, this object-based classification process must be taken into account when looking at color and calculating it so that there is no error in classification. In this research, the OBIA method was used to identify changes in land use in the Bungus Teluk Kabung District in 2012, 2017 and 2022. By using the OBIA method, identification results were obtained in areas where land use changes occurred between 2012 and 2017, which were identified as having changed from open land to built-up land. with an area of 355.84ha, plantations 22.62ha and rice fields 20.97ha. From 2017 to 2022, it was identified that there was a change in land use from dry land forests to 6.30ha of built-up land. The change in open land to built-up land was 7.47ha. Plantations experienced changes to 6.21ha of built-up land and 9.27ha of rice fields. Meanwhile, bushes/shrubs experienced changes in plantations of 2.47ha.
MAPPING OF AREAS OF FOREST AND LAND FIRE VULNERABILITY IN THE SANIANG BAKAR AREA, X KOTO DISTRICT, SOLOK DISTRICT rezki, sri; Edial, Helfia; Iswandi, Iswandi; Triyatno, Triyatno
International Remote Sensing Applied Journal Vol. 5 No. 2 (2024): International Remote Sensing Application Journal (December Edition 2024)
Publisher : Remote Sensing Technology Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/irsaj.v5i2.61

Abstract

This research uses quantitative descriptive analysis which has the title "Mapping Areas of Forest and Land Fire Vulnerability in the Saniang Bakar Area, X Koto District, Solok Regency." This research aims to determine the distribution of forest and land fire vulnerability based on the influence of each parameter: land cover, Rain intensity, soil type, height in the Saniang Baka area, research results based on each parameter of land cover which is quite large, fires are dominated by forests covering an area of ​​4946.5 ha and shrubs covering an area of ​​3810.2 ha, the rain intensity parameter is dominated by the very low category. around 200 mm/year, the majority of soil type parameters are Andisols, the height parameters are generally dominated by the sloping category. Understanding the distribution of land surface temperatures using the Land Surface Temperature (LST) algorithm in the Saniang Baka area shows a minimum temperature value of 14.8OC, a maximum temperature of 45.6OC and an average temperature of 30.6OC. The results of the analysis used in the Saniang Bakar area have a general level of vulnerability to forest and land fires in the high category with an area of ​​around 2358.64 Ha.
ANALISIS EROSI MENGGUNAKAN METODE RUSLE PADA SUB DAS LISUN NAGARI SILOKEK, SIJUNJUNG ANJELIN, VINA; triyatno, triyatno
JURNAL BUANA Vol 8 No 4 (2024)
Publisher : DEPARTEMEN GEOGRAFI FIS UNP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/buana/vol9-iss3/3907

Abstract

The purpose of this research is to analyze the value of erosion factors and the level of erosion hazard using the RUSLE method in the Lisun Sub Watershed, Nagari Silokek, Sijunjung Regency. This type of research is quantitative research. The results show that: 1) The erosion factor that most influences the low erosion that occurs in the Lisun Subwatershed is CP where the Lisun Subwatershed still has a very large forest area of 28,886.33 ha (70%) with high forest density so that the amount of erosion can still be controlled.2) The level of erosion hazard in Lisun Sub-watershed includes very light to heavy and consecutive land area in Lisun Sub-watershed from very light 0.247 tons/ha/year (30.65%), light 5.047 tons/ha/year (40.69%) medium 23.007 tons/ha/year (14.33%) and heavy 106.882 tons/ha/year (14.28%) with total erosion of 135.184 tons/ha/year.
Model Spasial Perubahan Penggunaan Lahan Dan Tutupan Lahan Terhadap Bencana Banjir di Daerah Aliran Sungai Sikilang, Pasaman Barat Endarsih, Eris; Triyatno, Triyatno
EL-JUGHRAFIYAH Vol 5, No 2 (2025): El-Jughrafiyah : August, 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jej.v5i2.37925

Abstract

Model spasial bahaya banjir di Daerah Aliran Sungai Sikilang,’  Pasaman Barat mempunyai tujuan untuk analisis intensitas hujan 2024-2034-2044, memodelkan penggunaan lahan dan tutupan lahan’’ tahun 2024-2034-2044, model numerik banjir, dan model mitigasi banjir melalui tindakan konservasi. ‘Metode yang digunakan dalam penelitian ini adalah metode kuantitatif’’. Hasil penelitian menunjukkan bahwa intensitas hujan meningkat seiring dengan bertambahnya kala ulang,’ selanjutnya’  perubahan penggunaan lahan dan tutupan lahan’ di DAS Sikilang mengalami penurunan yaitu semak belukar,’ hutan sekunder, hutan primer, lahan terbuka, sawah, kebun campuran, ladang, lahan terbangun, sedangkan penggunaan lahan yang mengalami peningkatan luasan yaitu perkebunan kelapa sawit’’dan ’lahan terbangun’’. Model numerik banjir di DAS Sikilang menunjukkan bahwa puncak banjir (Qp) membutuhkan waktu 6,50 jam, waktu yang dibutuhkan untuk mengurangi debit banjir (Tp+0,3) yaitu 11,74 jam, dan waktu yang diperlukan untuk mengurangi debit banjir (Tp+T0,3+1.5T0,3) adalah 19,60 jam. Model spasial banjir di DAS Sikilang tahun 2024 sampai tahun 2044 mengalami perubahan yang signifikan.’ Perubahan luas area terdampak banjir’’ tahun 2024 sampai tahun 2034 pada kelas kedalaman tinggi meningkat sebesar 694,667 ha, kelas kedalaman sedang meningkat 277,881 ha,  kelas kedalaman rendah meningkat 30,017 ha ,  perubahan luas area terdampak banjir tahun 2034 sampai 2044 pada kelas kedalaman tinggi meningkat sebesar 215,208 ha,  kelas kedalaman sedang menurun 75,842 ha dan kelas kedalaman rendah meningkat 4,42 ha’. Perubahan penggunaan lahan dan tutupan lahan 2024 sampai tahun 2034 mempengaruhi debit banjir 36,303 %, dan perubahan  penggunaan lahan dan tutupan lahan tahun 2034 sampai tahun 2044 mempengaruhi debit banjir 11,951%. Sebagai langkah mitigasi banjir, dilakukan model mitigasi banjir melalui tindakan konservasi, pada hulu DAS Sikilang,. Upaya mitigasi ini dapat mengurangi debit banjir pada tahun 2024 sebesar 4,744 m3/detik, pada tahun 2034 mengurangi debit banjir sebesar 34,647 m3/detik, dan pada tahun 2044 mengurangi debit banjir 47,303 m3/detik. Untuk mengantisipasi bahaya banjir kepada masyarakat yang tinggal di DAS Sikilang, perlu diinformasikan bahwa banjir akan terjadi apabila intensitas hujan >11 mm/jam dengan durasi 4,64 jam, maka waktu yang dibutuhkan untuk mencapai puncak banjir adalah 6,50 jam, sehingga masyarakat dapat mengambil langkah antisipasi guna mengurangi potensi kerugian akibat banjir tersebut. Kata kunci: Penggunaan lahan dan tutupan lahan, Nilai Koefisien Aliran, Banjir, Model Spasial
PEMODELAN NUMERIK UNTUK MENENTUKAN DEBIT BANJIR DAS BAYANG KABUPATEN PESISIR SELATAN Putri, Indah Devita; triyatno, triyatno
JURNAL BUANA Vol 9 No 2 (2025)
Publisher : DEPARTEMEN GEOGRAFI FIS UNP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/buana/vol9-iss2/3914

Abstract

The research aims : 1) analysis hydraulic model in numeric modeling of flow Bayang watershed, 2) modeling spatial flood of Bayang watershed using HEC-RAS. Type thi research uses quantitative method with spatial approach. The data used for flood discharge is maximum rainfall in 2013-2022. Data were analysis using unsteady flow technique with software HEC-RAS and literature study. 1) The study produces 100 year periode discharge with a peak time of 1.27 hours which produces a period 2 year of 263.98 m3/sec, period 5 of 303.08 m3/sec, period 10 of 328.95 m3/sec, period 25 of 361.70 m3/sec, period 50 of 385.95 m3/sec and period 100 0f 410.07 m3/sec. 2) The model produce 1-D and 2-D models, the 1-D model produc a flood overflow depth of 3.03 to 1.71 meters while the 2-D model produce a flood overflow depth of 3 to 2 meters, villages of Sawah Laweh, Pasar Baru, Talaok, and Koto Barapak.
Analysis of Carrying Capacity and Land Capacity for Settlement in Padang Panjang City Ramadya, Fajrin; triyatno, triyatno
JURNAL BUANA Vol 9 No 3 (2025)
Publisher : DEPARTEMEN GEOGRAFI FIS UNP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/buana/vol9-iss3/3938

Abstract

The city of Padang Panjang, with its undulating topography, faces difficulties in utilizing land for settlement as population growth increases. This study aims to analyze the carrying capacity and accommodating capacity of residential land in the city. Descriptive quantitative research methods with data presented through tables and maps, calculations refer to the Ministry of Environment's 2014 carrying capacity guidelines and the Guidelines for Housing and Settlement Area Development and Development Plan (RP3KP). The results showed that in 2022, Padang Panjang City has a Settlement Carrying Capacity (DDPm) value of > 1. Kelurahan Ganting achieved the highest score of 14.4 and Kelurahan Pasar Baru had the lowest score of 1.8. The area of land suitable for settlement is around 672 hectares, can accommodate 264,309 people with a total of 66,077 housing units. Kelurahan Kampung Manggis stands out with a high capacity, able to accommodate around 34,864 people, while Pasar Baru has the lowest capacity, only 503 people.
Pemodelan Genangan Banjir Di Batang Kambang Kecamatan Lengayang Kabupaten Pesisir Selatan Kritieva, Marliza; Triyatno, Triyatno
Journal of Comprehensive Science Vol. 3 No. 2 (2024): Journal of Comprehensive Science (JCS)
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/jcs.v3i2.612

Abstract

Penelitian ini bertujuan : 1) Untuk mengetahui prediksi genangan banjir pada kala ulang 25 tahun di Batang Kambang, 2) Untuk mengetahui luas genangan banjir pada kala ulang 25 tahun di Batang Kambang. Penelitian ini menggunakan metode kuantitatif dengan pendekatan SIG yang terintegrasi dengan Hec-ras dan Arcgis yang penjelasannya disajikan dalam bentuk peta dan tabel. Hasil yang diperoleh dari penelitian adalah : 1) Prediksi genangan banjir dengan debit banjir puncak pada kala ulang 25 tahun sebesar 124.75 m3/s, 2) Luas genangan banjir pada kala ulang 25 tahun seluas 131 ha.
ANALISIS BAHAYA BANJIR BESERTA DAMPAKNYA PADA HULU DAS BATANG SUMPUR DI KECAMATAN LUBUK SIKAPING KABUPATEN PASAMAN Putri, Anita Sri rahma; Triyatno, Triyatno
Jurnal Hutan Tropis Vol 13, No 4 (2025): Jurnal Hutan Tropis Volume 13 Nomer 4 Edisi Desember 2025
Publisher : Lambung Mangkurat University-Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jht.v13i4.24632

Abstract

Penelitian ini bertujuan untuk menganalisis bahaya banjir pada Hulu DAS Batang Sumpur di Kecamatan Lubuk Sikaping Kabupaten Pasaman, serta mengkaji dampak fisik, sosial, dan ekonomi yang ditimbulkan oleh bencana banjir. Penelitian ini menggunakan pendekatan kuantitatif dengan analisis spasial berbasis Sistem Informasi Geografis (SIG). Metode fuzzy logic diterapkan untuk memberikan nilai keanggotaan pada setiap parameter banjir, seperti curah hujan, kemiringan lereng, jenis tanah, penggunaan lahan, dan jarak sungai. Hasilnya digabungkan melalui defuzzyfikasi (fuzzy overlay) untuk menghasilkan peta bahaya banjir. Analisis bahaya banjir dengan metode fuzzyfikasi menggunakan enam parameter: Hasil defuzzyfikasi menunjukkan bahwa zona bahaya tinggi terkonsentrasi di dataran rendah sekitar aliran Batang Sumpur dengan karakteristik lereng landai, ketinggian rendah, tanah berpermeabilitas rendah, curah hujan tinggi, serta dominasi pemukiman. Zona sedang berada pada wilayah transisi, sedangkan zona rendah terdapat di hulu dengan ketinggian lebih dari 1000 mdpl dan tutupan hutan. Dampak banjir di Kecamatan Lubuk Sikaping bersifat multidimensional. Dari sisi fisik, banjir merusak rumah, jalan, dan infrastruktur publik. Dari sisi sosial, masyarakat mengalami pengungsian, terganggunya pendidikan, dan trauma psikologis. Dari sisi ekonomi, aktivitas perdagangan, transportasi, dan pekerjaan harian lumpuh, dengan Nagari Durian Tinggi mencatat kerugian tertinggi Rp 60,6 juta. Temuan ini menegaskan bahwa banjir bukan hanya fenomena hidrologis, tetapi bencana kompleks yang mengancam keberlanjutan sosial-ekonomi masyarakat.