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Assessing karst landscape degradation based on the void development of karst aquifers in Gunungsewu, Indonesia Naufal, Muhammad; Adji, Tjahyo Nugroho; Haryono, Eko; Cahyadi, Ahmad
Journal of Degraded and Mining Lands Management Vol. 11 No. 3 (2024)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2024.113.5707

Abstract

Compared to other landforms, karst areas are among those emerging from the dissolution process that have a higher risk of land degradation. The likelihood of karst landforms being harmed is increased by urbanization and other human activities like extensive agriculture. Subsurface streams' water quality gets worse when surface pollutants infiltrate through developed karst features like sinkholes and karst ponors. There is a greater risk of land degradation as more karst features, in this case void size, develop. The purpose of this research is to assess how void development, or the degree of karstification, relates to the potential for karst spring pollution in the event that land degradation occurs on the surface of the Karst Drainage System (KDS). This research was conducted at the KDS of Beton and Gremeng Spring in the Gunungsewu karst area, Indonesia. In addition, this study also provides recommendations related to environmental management on the basis of the level of development of voids at both sites. The degree of karstification represents the phase at which a hydrogeological system has been developing, and this information was later considered in formulating strategies for protecting karst groundwater from contamination. The results show that Beton and Gremeng had a complex discharge regime with degrees of karstification at 8 and 5.5, respectively. Based on flood hydrograph components, it was further confirmed that both areas were in the mature phase. The higher the degree of karstification, the higher the vulnerability to pollution.
ANALISIS PENGARUH BEASISWA KIP TERHADAP PRESTASI MAHASISWA IAI AL MUHAMMAD CEPU DENGAN PENDEKATAN VARIABEL DUMMY HARYONO, EKO
Riemann: Research of Mathematics and Mathematics Education Vol. 5 No. 2 (2023): EDISI OKTOBER
Publisher : Program Studi Pendidikan Matematika Universitas Katolik Santo Agustinus Hippo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38114/y5tj1y42

Abstract

Penelitian ini penting untuk mengetahui dampak dari program beasiswa Kartu Indonesia Pintar Kuliah (KIP-K) kuliah terhadap prestasi mahasiswa di IAI Al Muhammad Cepu. Penelitian ini bertujuan untuk menganalisis pengaruh variabel dummy (KIP-K) terhadap prestasi mahasiswa. KIP-K adalah program beasiswa yang diperkenalkan oleh pemerintah Indonesia untuk mendukung pendidikan mahasiswa dari keluarga kurang mampu. Metode penelitian yang digunakan adalah mix model sequential explanatory dengan tahapan analisis data kuantiatif analisis regresi variabel dummy dan dilanjutkan analisis data kualitatif. Hasil analisis menunjukkan bahwa variabel dummy KIP-K memiliki pengaruh positif yang signifikan terhadap prestasi mahasiswa. Koefisien regresi variabel dummy KIP-K adalah 0.310351 dengan nilai signifikansi sebesar 0.0000. Hal ini menunjukkan bahwa mahasiswa penerima KIP-K cenderung memiliki prestasi akademik yang lebih baik dibandingkan dengan mahasiswa non-penerima KIP-K. Hasil analisis kuantitatif ini didukung oleh hasil analisis kualitatif dengan 5 kategori kualitatif : kebermanfaatan 93%, memotivasi 87%, fokus dalam proses pembelajaaran 93%, referensi 80%, 67% pencarian sumber informasi. Penelitian dapat memberikan kontribusi dan memberikan wawasan yang berharga tentang efektivitas program beasiswa KIP-K dalam mencapai tujuan sosial dan ekonomi yang diharapkan.
RAINFALL VARIABILITY IN GUNUNGSEWU KARST AREA, JAVA ISLAND, INDONESIA Ahmad Cahyadi; Eko Haryono; Tjahyo Nugroho Adji; Margaretha Widyastuti; Indra Agus Riyanto; Dzakwan Taufiq Nur Muhammad; Naufal Fattah Tastian
Indonesian Journal of Forestry Research Vol. 8 No. 1 (2021): Indonesian Journal of Forestry Research
Publisher : APTKLHI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59465/ijfr.2021.8.1.23-35

Abstract

Karst area is highly susceptible to changes to climate parameters. One of the parameters is rainfall variability. In addition to shaping the condition of water resources, rainfall in the Gunung Sewu karst area determines the nature of crop and livestock of the agriculture sectors―the local population's main economic activities, warranting the significance of the rainfall variability studies. Rainfall variability in karst areas also affects disaster conditions such as drought and floods. However, due to insufficient meteorological data in quality and quantity, there has been no rainfall variability studies conducted in this locality. The research intended to analyze rainfall variability in the Gunung Sewu karst area in 1979‒2013 by utilizing rainfall predictions from satellite images that many scholars had tested in different locations and recognized as having good quality. In the analysis, mean monthly rainfall was calculated, and the trends of annual rainfall and average rainfall intensity, dry and rainy seasons, the number of rainy days, and the effect of ENSO (El Niño Southern Oscillation) on rainfall were analyzed. The research data were 35 years of daily rainfall records derived from the National Centers for Environmental Prediction (NCEP) Climate Forecast System Reanalysis (CFSR). The analysis results showed that the mean rainfall, number of rainy days, and rainfall intensity had an increasing trend. Also, El Niño quantitatively influenced the rain in the Gunung Kidul karst area.
Grindulu fault cloud radon data for earthquake magnitude prediction using machine learning Pratama, Thomas Oka; Sunarno, Sunarno; Wijatna, Agus Budhie; Haryono, Eko
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 4: December 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i4.pp4572-4582

Abstract

The study investigates the potential of integrating radon gas concentration telemonitoring systems with machine learning techniques to enhance earthquake magnitude prediction. Conducted in Pacitan, East Java, Indonesia, where the stations are near the active Grindulu fault, the research employs random forest (RF), extreme gradient boosting (XGB), neural network (NN), AdaBoost (AB), and support vector machine (SVM) methods. The study aims to refine earthquake magnitude prediction, utilizing real-time radon gas concentration measurements, crucial for disaster preparedness. The evaluation involves multiple metrics like mean absolute error (MAE), mean absolute percentage error (MAPE), root mean square error (RMSE), mean squared error (MSE), symmetric mean absolute percentage error (SMAPE), and conformal normalized mean absolute percentage error (cnSMAPE). XGB and SVM emerge as top performers, showcasing superior predictive accuracy with minimal errors across various metrics. XGB achieved MAE (0.33), MAPE (6.03%), RMSE (0.51), MSE (0.26), SMAPE (0.06), and cnMAPE (0.97), while SVM recorded MAE (0.34), MAPE (6.20%), RMSE (0.51), MSE (0.26), SMAPE (0.06), and cnSMAPE (0.97). The analysis reveals XGB as the most effective method, boasting the lowest error values. The study underscores the importance of expanding data availability to enhance predictive models, ultimately contributing to more precise earthquake magnitude predictions and effective mitigation strategies.
PENINGKATKAN KREATIVITAS DAN EFEKTIVITAS BELAJARMELALUI APLIKASI CANVA DALAM KURIKULUM MERDEKA Mustofa, Hidayatul; Eko Haryono; Sariman, Sariman; Ni'matus Sa'adah, Ulfa
Al Fattah Ejournal Sma Al Muhammad Cepu Vol. 3 No. 03 (2023): Jurnal Pendidikan
Publisher : https://www.ejournal.smaamc.sch.id/index.php/belajar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.1989/mh5h7b21

Abstract

This study aims to analyze the implementation of Canva application in free curriculum-based learning to enhance creativity and learning effectiveness. The research method employed is qualitative, and the research type is descriptive-qualitative, with data collection methods including direct observation and a review of relevant literature. The findings of this study highlight the significant role of educational media in supporting the educational process. Currently, educational media places a growing emphasis on the utilization of technology and communication within the educational context. Educational media not only imparts knowledge but also stimulates the creativity and skills of learners during the learning process at school. Canva is one of the tools that can be used in the educational context. Canva is an online platform that provides various templates and features to assist educators and learners in facilitating technology-based, skill-oriented, creative, and other beneficial forms of learning.
EXPLORING RESEARCH METHODOLOGIES QUALITATIVE IN HIGHER EDUCATION: STRATEGIES AND APPROACHES FOR ACADEMIC INQUIRY Sariman; Eko Haryono; Muhamad Wahyudin; Faiz Zainal Muttaqin
Al Fattah Ejournal Sma Al Muhammad Cepu Vol. 4 No. 01 (2024): Jurnal Pendidikan
Publisher : https://www.ejournal.smaamc.sch.id/index.php/belajar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.1989/h4cabh86

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Higher education is a forum for producing scientific innovations through the results of its research. The approach used in this research is a descriptive qualitative approach through literature studies, with sources from various books, articles, websites and other sources. The results of this research are: Understanding qualitative research methodology in higher education must be carried out comprehensively, understanding the meaning and techniques in carrying out research. Qualitative research methods in higher education include 1). The type of approach used by researchers, 2). Source -Data source, 3). Instruments and data collection, 4). Qualitative data analysis, 5). Data validity checking techniques. So that recommendations from the results of this research can be used for scientific research and development, educational innovation in universities and others, writing scientific articles and scientific and technological validation in general.
Metode-Metode Pelaksanaan PkM (Pengabdian Kepada Masyarakat) Untuk Perguruan Tinggi Haryono, Eko; Al Murtaqi , Moch. Ridwan; Nur Lailatul Izzah , Armiya; Septian , Damar; Sariman, Sariman
Al Fattah Ejournal Sma Al Muhammad Cepu Vol. 5 No. 02 (2024): JURNAL PENDIDIKAN
Publisher : https://www.ejournal.smaamc.sch.id/index.php/belajar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.1989/b4ejqb56

Abstract

Community Service (PKM) is one of the important components in the Tri Dharma of Higher Education in Indonesia. This research discusses the methods that can be used in carrying out Community Service in various universities according to several experts and those that are commonly used. This research method uses library research. The results showed that there are 4 methods in carrying out PkM, namely; Participatory Action Research (PAR) method, Service Learning (SL) method, Community-Based Participatory Research (CBPR) method, and Asset Based Community Development (ABCD) method. These methods have been commonly used by various universities, both public and private. However, the implementation can also be adjusted to the conditions and relevance of each university.
Perubahan Kondisi Fisik Lahan Akibat Alih Fungsi Lahan Hutan Rawa Gambut Nusantara, Rossie Wiedya; Sudarmadji; Haryono, Eko; Djohan, Tjut S.
Jurnal Wana Tropika Vol 2 No 2 (2012)
Publisher : Fakultas Kehutanan Institut Pertanian STIPER Yogyakarta

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

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Studi Pendahuluan Karakteristik Hidromorfologi Danau Laut di Kawasan Karst Mawasangka Timur, Buton Tengah, Sulawesi Tenggara Haryono, Eko; Putra, Rakhmat Dwi; Hakim, Arief Abdurrahman; Siswanto, Aries Dwi; Satrio, Fahry Adhi; Riyanto, Indra Agus; Cahyadi, Ahmad
Geo Media: Majalah Ilmiah dan Informasi Kegeografian Vol. 23 No. 1 (2025): Geo Media: Majalah Ilmiah dan Informasi Kegeografian
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/gm.v23i1.78909

Abstract

Danau laut memiliki keunikan baik secara morfometri dan proses terbentuknya.  Penelitian ini bertujuan menganalisis hidromorfologi danau laut di Kawasan Karst Mawasangka Timur, Kabupaten Buton Tengah, Sulawesi Tenggara. Analisis hidromorphologi meliputi L Max, B max, B mean, SI, orientasi danau laut, elevasi dan jarak dari pantai.  Analisis hidromorfologi dilakukan dengan pengukuran langsung di lapangan, pengukuran dengan underwater drone, dan pengukuran melalui data citra penginderaan jauh dan peta sekunder. Danau laut yang dikaji meliputi  Oe Mamba Kecil, Oe Mamba Besar, Pasi Bungi, Air Wali, dan Wa Piho Piho. Hasil perhitungan L max danau laut di area kajian berkisar 39 – 1.028 m, B max (30 – 685 m), B mean (21 – 487 m), SI (155,62 – 2.951 m2), DI (0,381 – 0,425 m), Orientasi (NE-SW, N-S, dan E-W), elevasi (2 – 35 mdpal), jarak terhadap pantai (37 – 785 m) dan kedalaman max (10 – 57,8 m). Nilai morfometri danau laut di Buton Tengah Sulawesi Tenggara memiliki rentang yang sama dengan danau laut tropis lain di Kalimantan, Papua, Filipina, dan Kroasia.
Groundwater management strategy to reduce the impact of land degradation in tropical karst areas Naufal, Muhammad; Adji, Tjahyo Nugroho; Haryono, Eko
Journal of Degraded and Mining Lands Management Vol. 12 No. 4 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2025.124.7965

Abstract

The study aimed to determine the level of pollution sensitivity associated with fertilization activities in agricultural land in two karst spring catchment areas (Beton and Guntur). The aquifer characteristics of these two springs differ; the Beton Spring has a more developed allogenic channel development, whereas the Guntur Spring has a less developed autogenic system. In this study, the COCKPIT-PLUS and Master Recession Curve (MRC) techniques are combined to define land use zoning and the degree of aquifer sensitivity to pollution. Field sampling and stakeholder interviews were also conducted to assess land management practices and pollutant concentrations in the springs. The results show that due to the influence of more intensive and varied land use, Beton Spring has a higher sensitivity to pollution, as evidenced by higher concentrations of nitrate, phosphate, and Escherichia coli. In contrast, lower pollution levels in Guntur Spring occur due to the narrower recharge zone area supported by a more consistent planting pattern. Various strategies, including vegetative restoration, drainage planning, land use regulation, and communicative education, were formulated using the DPSIR framework. Strategies are critical in areas with high sensitivity, such as the Beton and Jomblangan recharge zones, which also highlight the necessity of land use restrictions based on upstream-downstream interactions. This study emphasized the importance of adapting the protection plan for karst aquifer recharge zones in response to land use intensity and degradation. It proposes an evidence-based integrated management model that focuses on decreasing the effects of land degradation in tropical karst aquifer systems.