Articles
<![CDATA[Analisis Pengaruh Kerapatan Vegetasi terhadap Suhu Permukaan dan Keterkaitannya dengan Fenomena UHI ]]>
<![CDATA[Dewi Miska Indrawati]]>;
<![CDATA[Suharyadi Suharyadi]]>;
<![CDATA[Prima Widayani]]>
<![CDATA[ Media Komunikasi Geografi Vol. 21 No. 1 (2020) ]]>
Publisher : <![CDATA[Universitas Pendidikan Ganesha ]]>
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DOI: 10.23887/mkg.v21i1.24429
<![CDATA[Kota Mataram adalahpusat dan ibukota dari provinsi Nusa Tenggara Barat yang tentunya menjadi pusat semua aktivitas masyarakat disekitar daerah tersebut sehingga menyebabkan peningkatan urbanisasi. Semakin meningkatnya peningkatan urbanisasi yan terjadi di perkotaan akan menyebabkan perubahan penutup lahan, dari awalnya daerah bervegetasi berubah menjadi lahan terbangun. Oleh karena itu, akan memicu peningkatan suhu dan menyebabkan adanya fenomena UHI dikota Mataram.Tujuan dari penelitian ini untuk mengetahui hubungan kerapatan vegetasi dengan kondisi suhu permukaan yang ada diwilayah penelitian dan memetakan fenomena UHI di Kota Mataram. Citra Landsat 8 OLI tahun 2018 yang digunakan terlebih dahulu dikoreksi radiometrik dan geometrik. Metode untuk memperoleh data kerapatan vegetasi menggunakan transformasi NDVI, LST menggunakan metode Split Window Algorithm (SWA) dan identifikasi fenomena urban heat island. Hasil penelitian yang diperoleh menunjukkan kerapatan vegetasi mempunyai korelasi dengan nilai LST. Hasil korelasi dari analisis pearson yang didapatkan antara kerapatan vegetasi terhadap suhu permukaan menghasilkan nilai -0,744. Fenomena UHIterjadi di pusat Kota Mataram dapat dilihat dengan adanya nilai UHI yaitu 0-100C. Semakin besar nilai UHI, semakin tinggi perbedaan LSTnya.]]>
<![CDATA[The Spatial Patterns and Local Economic Determinant of Industrial Agglomeration in Semarang District, Indonesia ]]>
<![CDATA[R Agung Pangarso]]>;
<![CDATA[R Suharyadi]]>;
<![CDATA[R Rijanta]]>
<![CDATA[ Geoplanning: Journal of Geomatics and Planning Vol 6, No 2 (2019) ]]>
Publisher : <![CDATA[Department of Urban and Regional Planning, Diponegoro University ]]>
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DOI: 10.14710/geoplanning.6.2.99-112
<![CDATA[Urbanization creates opportunities for Indonesia, potentially to boost economic growth and create vibrant cities (metropolitan). Urbanization and agglomeration economies should be an important element in Indonesia‘s development as a mid-income country. Manufacturing industry becomes a dominant economic sector in metropolitan area such as Semarang that shows urbanization-industrialization relationship. Industrial agglomeration potentially induces socio-economic changes in the region. To prepare these changes, it is important to understand the spatial dynamics of agglomeration and predict its determinants locally. This paper aims to answer questions related to the spatial patterns and determinants of industrial agglomeration in Semarang Regency, a periphery of Semarang metropolitan. Nearest Neighbor Analysis is used to identify spatial patterns, followed by Ellison and Glaeser Index to measure agglomeration strength, and Specialization Index to measure industrial specialization. Geographically Weighted Regression is used to identify determinants of agglomeration. Analysis uses geographical database of Large and Medium Industries in 2016 and related sub-district based data. Result shows 11 of 21 sub-sectors of industries geographically form clustered (agglomerated) pattern. Six of them are strongly agglomerated (most localized). High specializations in these six sub-sectors occur in 14 sub-districts. Result obtains a significant spatial regression model explains the effect of independent variables simultaneously occurring in three sub-sectors: beverages; wearing apparel; wood and products of wood and cork, except furniture, articles of straw and plaiting materials. Partially, industrial agglomeration by three sub-sector’s specializations in sub-district level is determined by variables: industrial employment; vocational school; Gross Regional Domestic Product; population; arterial road; agricultural land availability; and agricultural households.]]>
<![CDATA[A Comparative Study of various Indices for extraction urban impervious surface of Landsat 8 OLI ]]>
<![CDATA[Iswari Nur Hidayati]]>;
<![CDATA[R Suharyadi]]>
<![CDATA[ Forum Geografi Vol 33, No 2 (2019): December 2019 ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Surakarta ]]>
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DOI: 10.23917/forgeo.v33i2.9179
<![CDATA[Impervious surface is one of the major land cover types of urban and suburban environment. Conversion of rural landscapes and vegetation area to urban and suburban land use is directly related to the increase of the impervious surface area. The impervious surface expansion is straight-lined with decreasing green spaces in urban areas. Impervious surface is one of indicator for detecting urban heat islands. This study compares various indices for mapping impervious surfaces using Landsat 8 OLI imagery by optimizing the different spectral characteristics of Landsat 8 OLI imagery. The research objectives are (1) to apply various indices for impervious surface mapping and (2) identifies impervious surfaces in urban areas based on multiple indices and provide recommendations and find the best index for mapping impervious surface in urban areas. In addition to utilizing the index, land use supervised classification method, maximum likelihood classification used for extracting built-up, and non-built-up areas. Accuracy assessment of this research used field data collection as primary data for calculating kappa coefficient, producer accuracy, and user accuracy. The study can also be extended to find the land surface temperature and correlate the impervious surface extraction data with urban heat islands.]]>
<![CDATA[Teknologi Pesawat Tanpa Awak untuk Pemetaan Skala Detail Rencana Jaringan Pipa Sanitasi Komunal bagi Masyarakat Dusun Kepek 1, Kepek, Wonosari, Gunungkidul ]]>
<![CDATA[Suharyadi Suharyadi]]>;
<![CDATA[Yudhistira Tri Nurteisa]]>
<![CDATA[ Jurnal Pengabdian kepada Masyarakat (Indonesian Journal of Community Engagement) Vol 2, No 1 (2016): September ]]>
Publisher : <![CDATA[Direktorat Pengabdian kepada Masyarakat Universitas Gadjah Mada ]]>
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DOI: 10.22146/jpkm.22081
<![CDATA[Human settlements can not be separated from the emergence of waste generated by human activity. Waste will give a negative efect on health and the environment if not handled and managed properly. Hamlet Kepek 1, Kepek, Wonosari have realized the impact that arises when household waste is not managed properly. For that, some residents have initiated a communal waste management and manufacture of communal sanitation pipelines. Conventionally, communal sanitary pipe network planning and data requires a huge cost, for it takes breakthrough of utilization of appropriate technology to facilitate the planning process and reduce the cost incurred.Utilization of small format aerial photographs resulting from the unmanned aircraf vehicle (UAV) used as an alternative technology in the planning communal sanitation pipelines. Analytical methods to create a map of the communal sanitation pipelines through least cost path analysis. Utilization of UAV technology is expected to make the planning of communal sanitary pipelines with good results and at afordable costs. Te result of small format aerial photography from unmanned aircraf vehicle (UAV) can be used to produce the spatial data with high resolution. Small format aerial photographs produced is then processed to obtain the orthophoto image and the image of Digital Surface Model (DSM). Both kinds of remote sensing image are then used as the main data to create maps of the communal sanitation pipelines. Te result of processing in the form of a map of communal sanitation pipelines in t Kepek 1 at low cost and appropriate technology.]]>
<![CDATA[Ekstraksi Digital Surface Model (DSM) dari Data Unmanned Aerial Vehicle (UAV) Berbasis Point Cloud ]]>
<![CDATA[Indra Laksana]]>;
<![CDATA[R Suharyadi]]>;
<![CDATA[M. Pramono Hadi]]>
<![CDATA[ Journal of Geography of Tropical Environments Vol 3, No 2 (2019): August ]]>
Publisher : <![CDATA[Open Journal System ]]>
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DOI: 10.7454/jglitrop.v3i2.59
<![CDATA[Abstrak. Akuisisi data dengan menggunakan pesawat tanpa awak semakin sering dilakukan. Penelitian ini memodelkan data elevasi dari pengukuran lapangan dengan menggunakan pesawat tanpa awak. Tujuan dari penelitian ini :(1) untuk menguji kemampuan pesawat tanpa awak dalam mengakuisisi data elevasi, dan (2) untuk membandingkan data elevasi jika ditambahkan data point cloud dan data pengukuran batimetri. Metode pengolahan dengan menggunakan data point cloud dilakukan dengan pertama-tama mencocokkan titik kunci. Pencocokan titik kunci mengkaitkan seluruh hasil foto udara hingga membentuk satu kesatuan area yang telah difoto. Selanjutnya dilakukan penampalan titik ikat pada area yang telah terbentuk dari pencocokan titik kunci. Titik ikat berfungsi sebagai koreksi data pada saat pesawat tanpa awak melakukan pengambilan data. Foto udara yang telah dikoreksi kemudian diolah untuk mendapatkan data point cloud. Point cloud berguna sebagai data penyusun ortofoto dan data Digital Surface Model (DSM). Pengolahan data point cloud hingga menghasilkan DSM dilakukan dengan menggunakan software Pix4D dan Agisoft photoscan. Hasil yang diperoleh menunjukkan bahwa terjadi peningkatan kemampuan DSM ketika data pointcloud ditambahkan data titik ikat dan data pengukuran batimetri. Sehingga dapat disimpulkan bahwa akuisisi data menggunakan pesawat tanpa awak mampu menghasilkan data yang dapat dipercaya. Selain dapat dipercaya akuisisi data dengan pesawat tanpa awak lebih murah jika dibandingkan dengan akuisisi data dengan foto udara.Keywords: digital surface model, pesawat tanpa awak, titik ikat Abstract. Data acquisition using unmanned aircraft is increasingly being done. This study models elevation data from field measurements using unmanned aircraft. The purpose of this study: (1) to test the ability of unmanned aircraft to acquire elevation data, and (2) to compare elevation data if added point cloud data and bathymetry measurement data. The processing method using point cloud data is done by first matching key points. Matching key points links all aerial photography results to forming a single unit area that has been photographed. Next, a tie point is carried out in the area formed from matching key points. Tie points function as data correction when unmanned aircraft take data. Corrected aerial photos are then processed to obtain point cloud data. Point cloud is useful as orthophoto compiler data and Digital Surface Model (DSM) data. Point cloud data processing to produce DSM is done using Pix4D and Agisoft photoscan software.The results obtained showed that there was an increase in DSM capabilities when point cloud data was added to the tie point data and bathymetry measurement data. So, it can be concluded that data acquisition using unmanned aircraft is able to produce reliable data. Besides being reliable, data acquisition with unmanned aircraft is cheaper compared to data acquisition with aerial photography.Keywords: unmanned aerial vehicle, ground c point, Digital surface modelDOI: http://dx.doi.org/10.7454/jglitrop.v3i2.59]]>
<![CDATA[Penerapan Data Spasial Kebijakan Satu Peta untuk Pemodelan Kerawanan Malaria Terintegrasi, Kasus Malaria Perbukitan Menoreh ]]>
<![CDATA[Barandi Sapta Widartono]]>;
<![CDATA[Suharyadi Suharyadi]]>;
<![CDATA[Tri Baskoro Tunggul Satoto]]>;
<![CDATA[Triwibowo Ambar Garjito]]>;
<![CDATA[Dwi Sarwani Sri Rejeki]]>
<![CDATA[ Majalah Geografi Indonesia Vol 37, No 1 (2023): Majalah Geografi Indonesia ]]>
Publisher : <![CDATA[Fakultas Geografi, Universitas Gadjah Mada ]]>
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DOI: 10.22146/mgi.74927
<![CDATA[Abstrak. Kebijakan Satu Peta (KSP) atau One Map Policy (OMP) merupakan salah satu program prioritas pemerintah dalam pelaksanaan Nawa Cita. Implementasi KSP diharapkan dapat membantu percepatan pelaksanaan pembangunan nasional di berbagai bidang, yang diantaranya adalah di bidang kesehatan. Salah satu program di bidang kesehatan yang dipandang relevan dengan implementasi KSP adalah program pengendalian malaria. Penelitian ini bertujuan untuk mengeksplorasi dan mengidentifikasi data KSP yang dapat digunakan untuk memetakan kerawanan malaria. Eksplorasi dan identifikasi data KSP dilakukan dengan menggunakan pendekatan spasial ekologis yaitu habitat nyamuk vektor malaria. Menggunakan metode Spatial Multi Criteria Analysis (SMCA) yang diintegrasikan dengan SIG. Data KSP terpilih yang digunakan adalah pada kelompok tematik batas wilayah serta sumberdaya alam dan lingkungan yaitu diantaranya batas wilayah administrasi, sistem lahan, geologi, dan penutup lahan, ditambah dengan data kerapatan vegetasi yang di ekstraksi dari citra Landsat. Pemetaan dilakukan di daerah reseptif malaria di Perbukitan Menoreh. Peta kerawanan malaria yang dihasilkan dari implementasi KSP secara umum selaras dengan kondisi kejadian malaria yang terjadi sehingga nantinya dapat digunakan sebagai bahan kajian untuk informasi spasial terpadu. Abstract. One Map Policy (OMP) is a priority government program in the implementation of Nawa Cita. One Map Policy implementation can help national acceleration development in every sector, such as health. One of the programs in the health sector that is relevant to OMP implementation is the malaria control program. The purposes of this research are to explore and identify OMP data that can be used to map the malaria hazard. Exploration and identification of OMP data was carried out using a spatial ecology approach that is the habitat of the malaria vector mosquito. This research uses the spatial multicriteria analysis (SMCA) method which is integrated with a geographic information system (GIS). The selected OMP data are boundary and natural resources and environment thematics groups, such as administrative boundaries, land system, geology, land cover, and vegetation density extracted from Landsat imagery. This mapping is located in an endemic malaria area, Menoreh Hills. The resulting malaria hazard map from OMP implementation is generally in line with the conditions of malaria incidence that occur so that it can be used as a study for spatial integrated information.]]>
<![CDATA[Penentuan Wilayah Reseptif Malaria di Perbukitan Menoreh dengan Menggunakan Basis Data Nasional Kebijakan Satu Peta ]]>
<![CDATA[Barandi Sapta Widartono]]>;
<![CDATA[Suharyadi Suharyadi]]>;
<![CDATA[Tri Baskoro Tunggul Satoto]]>;
<![CDATA[Mujiyanto Mujiyanto]]>
<![CDATA[ Jurnal Kesehatan Vokasional Vol 7, No 3 (2022): Agustus ]]>
Publisher : <![CDATA[Sekolah Vokasi Universitas Gadjah Mada ]]>
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DOI: 10.22146/jkesvo.75453
<![CDATA[Latar Belakang: Program eliminasi di Indonesia ditargetkan pada tahun 2030, tetapi hingga saat ini masih mengalami beberapa kendala, seperti terjadinya penyebaran kasus malaria secara impor melalui migrasi. Pendekatan yang umum digunakan saat ini adalah pendekatan wilayah administrasi, sedangkan pendekatan habitat nyamuk belum banyak dilakukan.Tujuan: Membuat pemetaan daerah reseptif malaria berbasis faktor lingkungan habitat nyamuk yang berkaitan dengan wilayah endemis di Perbukitan Menoreh yang meliputi Kabupaten Purworejo, Kabupaten Magelang, dan Kabupaten Kulon Progo.Metode: Penentuan daerah reseptif malaria dilakukan dengan pendekatan habitat nyamuk menggunakan faktor lingkungan fisik dari basis data spasial nasional Kebijakan Satu Peta (KSP).Hasil: Peta daerah reseptif dapat dihasilkan dari ekstraksi KSP. Selain itu, penanganan malaria pada model spasial ini dapat menunjukkan persentase dan luas area yang benar-benar memiliki ancaman terhadap kejadian malaria.Kesimpulan: Wilayah reseptif dengan model ini dapat memberikan gambaran jangka panjang ancaman malaria, menghasilkan sebaran wilayah reseptif dengan lebih baik dan mudah diberlakukan secara nasional.]]>
<![CDATA[Peningkatan Kompetensi Algoritma Pemrograman untuk Guru SMK Negeri 1 Salatiga ]]>
<![CDATA[Maria, Evi]]>;
<![CDATA[Winarso Martyas Edi, Sri]]>;
<![CDATA[Suharyadi]]>;
<![CDATA[Christianto, Erwien]]>;
<![CDATA[Purwanto]]>
<![CDATA[ Warta LPM WARTA LPM, Vol. 26, No. 3, Juli 2023 ]]>
Publisher : <![CDATA[Universitas Muhammadiyah Surakarta ]]>
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DOI: 10.23917/warta.v26i3.1701
<![CDATA[Accounting teachers at the State Vocational High School (SMK) 1 Salatiga currently have the competence to record manual accounting and accounting applications already available on the market. However, the World of Business and Industry demands that SMK graduates be able to develop simple accounting applications for Small and Medium Enterprises (SMEs). Application development requires mastery of programming algorithm competencies to help think more logically, creatively, and critically. This condition encourages accounting and computer teachers at SMK Negeri 1 Salatiga to need the training to improve algorithmic and programming competencies. This community service activity aims to enhance the competence of programming algorithms for accounting and computer teachers at SMK Negeri 1 Salatiga. The presentation of the material is arranged by the mentors so that this training program can be completed quickly and the objectives are achieved. There are three methods of implementing the activity: (1) socialization of programming algorithm material; (2) programming algorithm training activities; (3) case practice of programming algorithms. Participants in this activity were ten teachers at SMK Negeri 1 Salatiga, namely nine teachers majoring in accounting and one computer teacher. This activity was held in September 2022. Competency improvement was measured by conducting a pre-test and post-test on activity participants regarding programming algorithm material using a questionnaire containing 30 multiple-choice questions. The result of this activity is an increase in the competency of the participant's programming algorithm from 10 percent to 90 percent, and the activity participant’s can solve cases of programming algorithms and document them using the flowgorithm correctly.]]>
<![CDATA[The Profile of Efl Learners As Measured By An English Proficiency Test ]]>
<![CDATA[Sulistyo, Gunadi Harry]]>;
<![CDATA[Suharyadi]]>
<![CDATA[ JEELS (Journal of English Education and Linguistics Studies) Vol. 5 No. 1 (2018): JEELS May 2018 ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian Masyarakat IAIN Kediri ]]>
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DOI: 10.30762/jeels.v5i1.570
<![CDATA[This study aims at profiling the students’ English proficiency in the Department of English, Universitas Negeri Malang (UM). The English proficiency of 277 students across admission Classes in 2016, 2015, 2014, and 2013 who are involved in the study is measured by using a proficiency test. The subtests reliability was assured and the data was analyzed by using descriptive and inferential statistical analyses. The results show no respondent reached the advanced level; the majority was in the low intermediate level. It indicates that the respondents’ score was not linear with their year of admission classes. However, a linearly increasing average score was respectively observed from the scores of Classes of 2015, 2014, and 2013. Statistical differences in the mean scores of the students across admission classes were observed. Next, no evidence of statistical differences was observed in the mean score of the students across different study programs in their seventh semester. Finally, none of Class of 2013 exactly met the graduate profile. However, those beyond the profile and those below the profile were marginally comparable. These findings were further discussed.]]>
<![CDATA[Waste Management System “Kompas Lestari” as the Economic Empowerment Program in Makartitama Village, Peninjauan District, Ogan Komering Ulu Regency ]]>
<![CDATA[AMALIA, RICHA]]>;
<![CDATA[Wahyudi, Hangge Daud]]>;
<![CDATA[Suharyadi]]>;
<![CDATA[Putra, Erwin Hendra]]>
<![CDATA[ Indonesian Journal of Social Responsibility Review (IJSRR) Vol. 3 No. 2 (2024): Oktober 2024 ]]>
Publisher : <![CDATA[Prospect Publishing ]]>
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DOI: 10.55381/ijsrr.v3i2.239
<![CDATA[The natural environment has a significant role for human survival, humans, and nature are inseparable. Makartitama Village, Peninjauan Subdistrict, Ogan Komering Ulu Regency also experiences the same problem, namely damage to the natural environment due to waste generation in residential areas. This study aims to determine the impact of the Sustainable Compass Program on people's lives. The research methodology used is qualitative research. Data collection techniques were carried out through in-depth interviews, Focus Group Discussions (FGD), and observations of Kompas Lestari members, Makartitama Village Government, and Makartitama Village Community in general. The case study approach was chosen to understand the problems in the research in depth. The data analysis technique used is an interactive model starting from the data collection stage and continuing with data reduction, data display and the last stage is drawing conclusions. The impact of the program on the environment is the reduction of organic waste in Peninjauan Sub-district thanks to the processing of organic waste in Makartitama Village. This impact can be felt in the economic, welfare, environmental and social sectors. The impact measurement was carried out using the Community Satisfaction Survey (IKM) and Social Return On Investment (SROI) methods.]]>
