Article Per Year (5 Year)
p-Index From 2019 - 2024
1.704
P-Index
This Author published in this journals
All Journal UNEJ e-Proceeding Proceeding of the Electrical Engineering Computer Science and Informatics E-Dimas: Jurnal Pengabdian kepada Masyarakat Journal of Geoscience, Engineering, Environment, and Technology JLBG (Jurnal Lingkungan dan Bencana Geologi) (Journal of Environment and Geological Hazards) JOIV : International Journal on Informatics Visualization Jurnal Geomine Angkasa: Jurnal Ilmiah Bidang Teknologi JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) KURVATEK Prosiding Seminar Nasional Rekayasa Teknologi Industri dan Informasi ReTII International Journal of Advanced Science Computing and Engineering
Ani Apriani
Faculty Of Technology Mineral, Institut Teknologi Nasional Yogyakarta, Yogyakarta, Indonesia
Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Physics Public Health Social Sciences Transportation

Published : 12 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 12 Documents
Search

 1   2 
Biometric similarity Test of The Population of T. (Zaria) bantamensis tjicumpaensis with T. (Zaria) javana as a Form of Phylogeny And Evolutionary Proximity Hita Pandita; Ani Apriani
Journal of Geoscience, Engineering, Environment, and Technology Vol. 6 No. 3 (2021): JGEET Vol 06 No 03 : September (2021)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2021.6.3.6780

Abstract

Biometric aspects in the Turritellidae family need to be studied as an important identification parameter. Zaria, which is one of the sub genera in the Turritellidae family, deserves to be tested in order to determine the feasibility of the biometric aspect as an identification parameter. This paper aims to provide an overview of the benefits of the biometric aspect as an identification parameter. The method used to re-identify the biometric and morphological aspects of the T. (Zaria) bantamensis tjicumpaensis population with T. (Zaria) javana. The results of the identification were carried out by a T-Test on the biometric aspect to see the similarity of the biometric aspects of the two populations. Based on the results of the T-Test on the parameters of the Wsut: Wang and Wsut: L ratio, it shows that the two Zaria species are the same. Meanwhile, from the morphological aspect, there is a slight difference in the early growth peripherals.
Fast Clustering Environment Impact using Multi Soft Set Based on Multivariate Distribution Iwan Tri Riyadi Yanto; Ani Apriani; Rahmat Hidayat; Mustafa Mat Deris; Norhalina Senan
JOIV : International Journal on Informatics Visualization Vol 5, No 3 (2021)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.5.3.628

Abstract

Every development activity is always related to human or community aspects. This can also lead to changes in the characteristics of the community. The community's increasing awareness and critical attitude need to be accommodated to avoid the emergence of social conflicts in the future. This research is to find out how the public perception about the impact of development on the environment. Two methods are used, i.e., MDA (Maximum Dependency Attribute) and MSMD (the Multi soft set multivariate distribution function). The MDA is to determine the most influential attribute and the Multi soft set multivariate distribution function (MSMD) is to group the selected data into classes with similar characteristics. This will help the police producer plan the right mediation and take quick activity to make strides in the quality of the social environment. The experiment conducted level of impact based on the clustering results with the greatest number of member clusters is cluster 1 (very low impact) with 32.25 % of total data following cluster 5 (Very High impact) with 24.25 % of total data. The experiment obtains the level of impact based on the clustering results. The greatest number of member clusters is cluster 1 (extremely low impact) with 32.25 % of total data following cluster 5 (Very High impact) with 24.25 % of total data. The scatter area impact is spread at districts 6, 7, 10, 11, the most of very high impact and districts 1,2,3,4,5,8 the lowest impact. 
Clustering human perception of environment impact using Rough Set Theory Ani Apriani; Iwan Riyadi Yanto; Septiana Fathurrohmah; Sri Haryatmi; D Danardono
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 5: EECSI 2018
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (268.63 KB) | DOI: 10.11591/eecsi.v5.1727

Abstract

Rough set is a set theory which is have been applied in the many areas. One of them is in data mining. The utilization of feature selection and clustering methods, that are a part of data mining application, could contribute for decision support. This paper investigates the application of rough set theory to select attribute and cluster environment impact. The Maximum Dependency Attribute (MDA) and fuzzy partition based on indiscernible relation are used to select the most important impact and cluster the object using the selected attributes, respectively. The data are collected from the field survey at identifying the environmental impact experienced by several communities in Yogyakarta, Indonesia. The results show that the water quality is the important attribute on physical and chemical aspects. Furthermore, on economic aspect, the highest attributes are immigration and employee absorption. Moreover, the number of cluster recommended is 9 based on the silhouette coefficient which is rising 0.9. This paper can be used to make recommendation to improve the quality of social environment.
Analisis Alih Fungsi Lahan Menggunakan Regresi Logistik Ordinal Ani Apriani; Bayurohman Pangacella Putra
Jurnal Geomine Vol 9, No 3 (2021): Edisi Desember 2021
Publisher : Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33536/jg.v9i3.895

Abstract

Kejadian bencana tanah longsor tidak lepas dari kondisi yang memang rentan  untuk terjadi gerakan longsor seperti lereng yang curam dan curah hujan yang tinggi. Kejadian tanah longsor diperparah juga dengan ketidakdisiplinan masyarakat dalam penggunaan lahan sesuai dengan fungsinya yang dinamakan alih fungsi lahan yang dapat menjadi faktor pemicu kejadian tanah longsor. Melakukan penelitian tentang alih fungsi lahan menjadi hal yang penting untuk melihat dampak yang diakibatkan oleh aktivitas manusia tersebut. Tujuan dari penelitian ini adalah untuk menganalisis alih fungsi lahan pengaruhnya terhadap tingkat bahaya tanah longsor di Kecamatan Samigaluh Kabupaten Kulon Progo. Metode dalam penelitian ini yaitu deskriptif kuantitatif dengan menggunakan data primer yaitu survey lapangan dan juga pengambilan data sekunder. Tahapan yang dilakukan yaitu dengan melakukan pengamatan lapangan tentang kejadian alih fungsi lahan. Kemudian melakukan pengambilan data tentang tingkat bahaya longsor di titik pengamatan alih fungsi lahan. Analisis data yang dilakukan dengan menggunakan regresi logistik ordinal. Hasil analisis didapatkan bahwa nilai p value (0,036) 0,05. Maka, keputusan yang diambil adalah tolak H0. Dengan demikian, pada tingkat kepercayaan 95% dapat dikatakan bahwa variabel alih fungsi lahan mempengaruhi tingkat bahaya longsor di Kecamatan Samigaluh Kabupaten Kulon Progo. Hal ini dapat menjadi masukan bagi masyarakat untuk menggunakan lahan sebagaimana fungsinya.
METODE MARKOV CHAINS UNTUK ANALISA PERULANGAN FASIES DI SUB BASIN KILIRAN JAO SUMATRA BARAT Ani Apriani
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 8, No 1 (2016): Mei
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (298.157 KB) | DOI: 10.28989/angkasa.v8i1.128

Abstract

Salah satu ironi dalam aplikasi geologi yaitu kita berhadapan dengan data fasies sebagai fungsi waktu, tetapi jarang dilakukan analisa statistiknya. Metoda Rantai Markov (Markov Chains) adalah salah satu cara untuk melakukan analisis perulangan fasies atau jenis batuan yang nantinya akan membantu dalam memprediksi dinamika sedimentasi. Tujuan dari penelitian ini yaitu melakukan analisa perulangan fasies dengan menggunakan metode markov chains. Metode statistik yang digunakan adalah deskriptif evaluatif dan diolah menggunakan Statistik Inferensial yaitu markov chains untuk mengetahui analisa perulangan fasies atau jenis batuan. Berdasarkan hasil analisis diketahui bahwa hadirnya suatu fasies dalam arti luas,tergantung pada fasies sebelumnya. Hal ini ditunjukkan dengan uji chi square dengan nilai x^hitung (10456) > x^tabel(51). Metode markov chains dapat melakukan analisa perulangan fasies yaitu dengan melihat matriks probabilitas transisi yang dapat memprediksi kehadiran fasies yang akan muncul selanjutnya sesuai dengan data yang ingin diketahui yang diprediksi dengan hadirnya fasies sebelumnya.
STATISTIK NON PARAMETRIK UNTUK MEMBANDINGKAN PEMBAGIAN FUNGSI KAWASAN DENGAN PENGGUNAAN LAHAN Ani Apriani
UNEJ e-Proceeding 2022: E-Prosiding Seminar Nasional Matematika, Geometri, Statistika, dan Komputasi (SeNa-MaGeStiK)
Publisher : UPT Penerbitan Universitas Jember

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

Abstract

The increases population has resulted in a lot of land being used as residential areas. Whereas Indonesia's topography is very diverse, such as mountains, hills, and plains. Uncontrolled land use by the community can cause various disasters including landslides and floods. Therefore, it is necessary to divide the functional areas starting from the protected function area, the buffer function area, the annual plant cultivation function area and the cultivation and settlement function area. Each of these functional areas has criteria and should stand on their respective functions. The purpose of this study is to analyze whether the division of area functions that have been carried out is in accordance with their use by the community. The research is descriptive quantitative approach and comparative test (Mann Whitney). For the 95% confidence level and the two-sided test, the Z table value is ±1.96. Because the calculated Z value (-1.559) > -1.96 and also comparing Asymp .Sig shows the number 0.119 > 0.05, the decision is to accept Ho. Thus, it can be concluded that there is no significant difference between the division of area functions and land use in Kalibawang District, Kulon Progo Regency, Yogyakarta. Keywords: area function, land use, statistics.
FUZZY ADAPTIVE CLUSTERING UNTUK MENGETAHUI PENGARUH FAKTOR LINGKUNGAN HIDUP TERHADAP TINGKAT KELUHAN KESEHATAN Ani Apriani; Paramitha Tedja Tresnaning
KURVATEK Vol 7 No 2 (2022): Energy Management and Sustainable Environment
Publisher : Institut Teknologi Nasional Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33579/krvtk.v7i2.3769

Abstract

Health is something that is very valuable for a person. Along with the development of life, there are more and more various health complaints. The purpose of this study was to determine the effect of environmental factors on the level of health complaints. The data analysis method uses a classification method, namely clustering using Fuzzy Adaptive Clustering (FAC). In this case, the number of clusters is determined, namely 3 clusters. Environmental factors with the largest average percentage value in cluster 1, namely ownership of garden or land infiltration and waste sorting behavior, and environmental factors with the smallest percentage in cluster 1 are porous infiltration holes, presence of perennials, and the habit of using used water for purposes other. Environmental factors with the largest average percentage in cluster 2, namely the presence of perennials and porous infiltration holes and environmental factors with the smallest percentage in cluster 2 are ownership of motorized vehicles, garden/soil infiltration and waste sorting treatment. While environmental factors with the largest average percentage in cluster 3 are infiltration wells, the habit of using used water for other purposes and ownership of motorized vehicles.
Mengembangkan Kreativitas Guru dalam Membuat Media Pembelajaran Menggunakan Aplikasi Canva Ani Apriani Ani; Sumargiyani; Iwan Tri Riyadi Yanto
Retii 2022: Prosiding Seminar Nasional ReTII ke-17
Publisher : Institut Teknologi Nasional Yogyakarta

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

Abstract

Perkembangan teknologi yang semakin pesat, menuntut para guru untuk pandai memanfaatkan teknologi. Metode mengajar yang atraktif dengan memanfaatkan teknologi yang ada akan semakin diminati oleh siswa sehingga memaksimalkan hasil belajar. Pelaksanaannya penggunaan teknologi sebagai fasilitas dalam mengembangkan pembelajaran masih belum dioptimalkan oleh para guru/pengajar. Seperti, penggunaan aplikasi Canva untuk pembuatan media pembelajaran. Pengabdian ini bertujuan untuk melatih peserta dalam menguasai aplikasi Canva dan melatih peserta membuat media pembelajaran dengan menggunakan aplikasi Canva. Pengabdian ini menggunakan metode penyuluhan, pelatihan dan pendampingan semua guru SD Muhammadiyah Beji Kabupaten Gunung Kidul. Kegiatan hari pertama dilaksanakan di SD Muhammadiyah Bogor dan kegiatan hari kedua bertempat di SD Muhammadiyah Beji. Pelaksanaan kegiatan hari pertama yaitu pemberian materi terkait LKPD (Lembar Kinerja Peserta Didik) sebagai salah satu manifestasi media pembelajaran dan pengenalan aplikasi Canva. Pelaksanaan kegiatan hari kedua peserta sudah menyusun media pembelajaran menggunakan aplikasi Canva. Berdasarkan evaluasi yang dilakukan terjadi peningkatan pengetahuan dan kemampuan guru dalam membuat media pembelajaran menggunakan aplikasi Canva. Melalui kegiatan pengabdian yang dilakukan guru lebih memahami pentingnya media pembelajaran dalam meningkatkan minat belajar siswa dan guru termotivasi membuat media pembelajaran yang atraktif dan menarik tanpa menghilangkan konten pembelajaran menggunakan aplikasi desain.
Analytic Hierarchy Process pada Evaluasi Kejadian Longsor di Kecamatan Samigaluh Kulon Progo, D.I. Yogyakarta Ani Apriani; Bayurohman Pangacella Putra; Moh. Alfariji; Juhair Al Habib; Paramitha Tedja Trisnaning
Jurnal Lingkungan dan Bencana Geologi Vol 13, No 2 (2022)
Publisher : Badan Geologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34126/jlbg.v13i2.403

Abstract

ABSTRAK Kondisi geografis Indonesia yang heterogen dengan kemiringan cukup tinggi menjadi potensi terjadinya bencana tanah longsor. Meskipun tanah longsor terjadi juga karena faktor yang memicu seperti curah hujan dan tata guna lahan. Daerah yang kerap terjadi tanah longsor yaitu Kecamatan Samigaluh Kabupaten Kulon Progo. Menganalisa penyebab terjadinya tanah longsor di daerah tersebut menjadi penting dilakukan agar penanganan dan pengendalian dilakukan sedini mungkin. Faktor pengontrol yang dianalisa yaitu kelerengan, litologi, kerapatan vegetasi dan jenis tanah sedangkan faktor pemicu yaitu curah hujan dan tata guna lahan. Tujuan dari penelitian ini untuk mengetahui seberapa besar faktor pengontrol dan pemicu tersebut terhadap terjadinya tanah longsor di Kecamatan Samigaluh Kabupaten Kulon Progo. Penelitian melalui beberapa tahapan yaitu pengambilan data primer dilapangan dan data sekunder yang didapatkan dari peta rupa bumi Indonesia, peta geologi dan pengolahan citra landsat. Analisa data dilakukan secara kuantitatif menggunakan AHP (Analytical Hierarchy Process). Hasil penelitian menunjukkan bahwa faktor kelerengan menjadi penyebab terbesar terjadinya tanah longsor di Kecamatan Samigaluh yaitu 33,3%, curah hujan 22,8%, litologi 17%, tata guna lahan 11,8%, kerapatan vegetasi 8,8% dan jenis tanah 5,8%. Dengan diketahuinya penyebab terjadinya tanah longsor diharapkan masyarakat lebih berhati-hati dalam pemilihan lahan permukiman serta pemerintah dapat membuat kebijakan tentang pola tata ruang.Kata kunci: AHP, Kelerengan, Samigaluh,Tanah longsor ABSTRACT The heterogeneous geographical condition of Indonesia with a fairly high slope is a potential for landslide disasters. Although landslides also occur due to triggering factors such as rainfall and land use. Areas that often occur landslides are Samigaluh District, Kulon Progo Regency. Analyzing the causes of landslides in the area is important so that handling and control is carried out as early as possible. The analyzed controlling factors were slope, lithology, vegetation density and soil type, while the trigger factors were rainfall and land use. The purpose of this study was to determine how much the controlling and triggering factors for the occurrence of landslides in Samigaluh District, Kulon Progo Regency. The research went through several stages, namely primary data collection in the field and secondary data obtained from Indonesian topographic maps, geological maps and landsat image processing. Data analysis was carried out quantitatively using AHP (Analytical Hierarchy Process). The results showed that the slope factor was the biggest cause of landslides in Samigaluh District, namely 33.3%, rainfall 22.8%, lithology 17%, land use 11.8%, vegetation density 8.8% and soil type 5,8%. By knowing the causes of landslides, it is hoped that people will be more careful in choosing residential land and the government can make policies on spatial patterns. Keywords: AHP, Slopes, Samigaluh, Landslide
Coping Capacity Model on Landslide Response Using OLR Ani Apriani; Bayurohman Pangacella Putra; Muhammad Ikrom Fahrurrozi; Shintia Pratiwi Hentihu
International Journal of Advanced Science Computing and Engineering Vol 5, No 2 (2023)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/ijasce.5.2.108

Abstract

The community's unpreparedness for landslides that often occur suddenly has a big impact. This is due to community's ignorance of the symptoms and preventive measures. The improvement coping capacity in landslide-prone areas is important to mitigate the disaster. It is important to know the Coping Capacity in order to give recommendation in improvement of community’s ability on landslide disaster. Thus, this study aims to construct the model coping capacity using Ordinal Logistic Regression (OLR).  The model is conducted using OLS by look at the influence of mitigation knowledge, action plans and local wisdom on general knowledge about risks and efforts to save from disasters. The primary data is taken from  Sidoharjo, Yogyakarta where  86,17 %  in high potential landslide to the total area is 1113,99 Ha. The results are two model logistic of the coping capacity. The first result is the risks disaster model logistic with chi-square deviance value is 74.085 and sign level is 0.99. The second is the effort to save from the disaster model logistic with with chi-square deviance value is 70.492 and sign level is 0.901.  It can be said that the model is well to be used to modelled the coping capacity in Sidoharjo which the most influential on risks and efforts to save from disasters are mitigation knowledge and action plans, respectively. 
Co-Authors Bayurohman Pangacella Putra D Danardono Danardono, D Haryatmi, Sri Iwan Riyadi Yanto Iwan Tri Riyadi Yanto Iwan Tri Riyadi Yanto Iwan Tri Riyadi Yanto, Iwan Tri Riyadi Juhair Al Habib Moh. Alfariji Muhammad Ikrom Fahrurrozi Mustafa Mat Deris Norhalina Senan Paramitha Tedja Tresnaning Paramitha Tedja Trisnaning Rahmat Hidayat Septiana Fathurrohmah Shintia Pratiwi Hentihu Sri Haryatmi Sumargiyani Sumargiyani Sumargiyani