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All Journal HAYATI Journal of Biosciences Jurnal Matematika Region : Jurnal Pembangunan Wilayah dan Perencanaan Partisipatif G-Tech : Jurnal Teknologi Terapan Jurnal Statistika dan Aplikasinya AMMA : Jurnal Pengabdian Masyarakat Biodiversitas Journal of Biological Diversity
Riki Herliansyah
Institut Teknologi Kalimantan
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Energy Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Nursing Social Sciences Other

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Ecology and Conservation of the Endangered Banteng (Bos javanicus) in Indonesia Tropical Lowland Forest Dede Aulia Rahman; Riki Herliansyah; Puji Rianti; Ujang Mamat Rahmat; Asep Yayus Firdaus; Mochamad Syamsudin
HAYATI Journal of Biosciences Vol. 26 No. 2 (2019): April 2019
Publisher : Bogor Agricultural University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (916.643 KB) | DOI: 10.4308/hjb.26.2.68

Abstract

Banteng, Bos javanicus, as wild cattle is a vital and importance source of germplasm in Indonesia. Various human activities currently threaten their conservation status. Nonetheless, no long-term monitoring programmes are in place for this species. Using distribution point and statistical analysis based on 46,116 camera trap days from December 2015 to January 2017, we aimed to provide habitat preferences, activity patterns and ecological data for banteng population in Ujung Kulon National Park (UKNP). It is the largest population of banteng in Indonesia and is living in a limited habitat area. According to the best occupancy model, the most suitable areas for this species were the secondary forest located at the center portion of UKNP. The presence of the invasive cluster sugar palm, Arenga obtusifolia, in dry season provides additional alternative food for banteng when its main food is scarcer in the forest. Banteng was cathemeral all year round, with the proportion of cathemeral records and the recording rate did not change with the protection of the level area, moon phase or season. To reduce the probability of encountering predators, banteng avoided the space use of dholes. Selection and avoidance of habitats was stronger than avoidance of the predator activity areas. Habitat competition from domestic cattle which grazed illegally in the national park appears to be a problem to the species since zoonosis appears from domestic cattle to banteng. Therefore, effective law enforcement and an adequate conservation strategy are required to eliminate the impacts of both direct and indirect threats.
Waterbird Foraging Habitat Selection in Balikpapan Bay: Water Depth and Patch Area as Important Factors Alexander Kurniawan Sariyanto Putera; Dyah Perwitasari-Farajallah; Yeni Aryati Mulyani; Stanislav Lhota; Riki Herliansyah; Sodikin Sodikin
HAYATI Journal of Biosciences Vol. 28 No. 4 (2021): October 2021
Publisher : Bogor Agricultural University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.4308/hjb.28.4.312-324

Abstract

Balikpapan Bay is one of the wetlands providing potential foraging habitat for waterbirds in Indonesia. Potential habitat loss due to oil industry expansion, recent waterbird occurrence, and co-occurrence of two closely related species with similar foraging characteristics led to habitat selection. Habitat selection could be affected by food as an intrinsic factor and extrinsic factor, for example, accessibility to the physical and biological components of the habitat. This study aimed to measure the foraging habitat selection, identify significant habitat quality parameters for the habitat selection and predict the foraging habitat selection model. We used one-zero sampling for collecting foraging habitat selection data, corer sampling for prey data, and collecting the abiotic environment, and Generalized Linear Modelling (GLM) to build the model. We identified four species as the migrant Little Egret (Egretta garzetta), Great Egret (Ardea alba), Purple Heron (Ardea purpurea), and Lesser Adjutant (Leptoptilos javanicus). All species, except Purple Heron, selected foraging habitats. A simple mathematic model of foraging habitat selection was significantly affected by two factors: water depth and patch area. A large patch area may provide primary prey abundance for waterbirds, while a low water depth level may give easy access to the prey.
Estimasi Dampak Jangka Panjang Kebijakan Penurunan Emisi Terhadap Pertumbuhan Ekonomi Kalimantan Timur Nurul Ilma Hidayanty; Riki Herliansyah; Muhammad Azka
Jurnal Matematika Vol 9 No 1 (2019)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JMAT.2019.v09.i01.p109

Abstract

Deforestation and forest degradation issue due to economic activity is a major problem in East Borneo. The results of data analysis from Environmental Agency stated East Borneo produced the biggest ammount of CO2 emissions after the Central Borneo and Riau. These emissions mostly come from land-based business sector, industry and transportation. In other side, these sectors are the highest contributor to the total number of Gross Domestic Regional Product (GDRP). The aim of this research is to identify the effect of the goverment policy to decrease CO2 emissions towards economic growth. The data in this research were analyzed using Principal Component Analysis (PCA) and Path Analysis (PA). The results showed that the decrease in the amount of CO2 emissions resulting in decrease in the amount of GDRP. Keywords: CO2 Emissions, Gross Domestic Regional Product (GDRP), Principal Component Analysis, Path Analysis.
Rebranding Produk Keripik Tortilla Seaweed-Binar PPU Poklhasar Swakarya Bersama Kabupaten Penajam Paser Utara Diniar Mungil Kurniawati; Menasita Mayantasari; Faisal Manta; Donny Pasunyar; Riola Montissa; Ahmad Yassar Sitompul; Muhammad Idris Al-Hakim; Achmad Farizul Hasmi; Fauzan Adzimi; Riki Herliansyah
AMMA : Jurnal Pengabdian Masyarakat Vol. 2 No. 10 : November (2023): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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

Abstract

Poklahsar Swakarya Bersama is an MSME Group that focuses on processing and marketing activities, located in Tanjung Tengah Village, North Penajam Paser Regency (PPU) East Kalimantan Province with processed products made from seaweed. Currently, PPU Regency has been approved as the National Capital of Indonesia (IKN). One of the concentrations needed in moving the new capital is the readiness of the IKN buffer area. However, the essence of this community service activity is to improve the quality of MSMEs operating in the food sector, namely Poklahsar Swakarya Bersama. These improvement efforts must be developed through strengthening technology, branding and marketing to expand markets and business management. With the market strengthening program with branding and digital marketing, it is hoped that it will be able to expand and strengthen the target market. This rebranding activity is packaged with digital marketing training activities and selecting logo and packaging designs. The target market desired by Poklahsar Swakarya Bersama is seaweed tortilla chips which can be consumed by all ages and genders. Therefore, the selection of a new logo and packaging went through an audience stage with partners where several alternative designs had been created by the activity implementation team.  
Analisis Perilaku Pengendara Kendaraan Roda Dua dan Impikasinya Terhadap Keselamatan Berkendara di Kota Balikpapan dengan Pendekatan Structural Equation Modeling Lintang Nataniela Dewanti; Riki Herliansyah; Muqimuddin Muqimuddin; Abdul Alimul Karim
G-Tech: Jurnal Teknologi Terapan Vol 8 No 3 (2024): G-Tech, Vol. 8 No. 3 Juli 2024
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/gtech.v8i3.4632

Abstract

The number of traffic accidents related to motorbikes in Balikpapan City increases every year, this is caused by motorbike riders committing traffic violations, so efforts are needed to implement safe driving behavior for motorbike riders. This research aims to determine the fit of the Structural Equation Modeling (SEM) model with the Partial Least Square (PLS) approach and determine the variables that have a significant influence in determining the influence of motorbike rider behavior on driving safety in Balikpapan City. This research uses primary data from 322 motorbike riders in Balikpapan City using the Structural Equation Modeling (SEM) method and Partial Least Square (PLS) approach which was processed using SmartPLS software. The results of the research show that the Structural Equation Modeling (SEM) model with the Partial Least Square approach is declared fit and there are two variables that have a significant influence, namely risk perception and aggressive behavior variables
Unveiling Population Density and Distribution of Sun Bear using Unmarked Spatial Capture-Recapture and Occupancy Modeling in Bukit Barisan National Park, Indonesia Ulfah Anisah Shalihah; Dede Aulia Rahman; Riki Herliansyah; Rikha Aryanie Surya; Luhur Septiadi
HAYATI Journal of Biosciences Vol. 33 No. 4 (2026): July 2026
Publisher : Bogor Agricultural University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.4308/hjb.33.4.1053-1061

Abstract

Sun bear (Helarctos malayanus), the smallest bear species, is increasingly threatened in their Southeast Asian range. Despite their globally vulnerable status, studies on their density remain limited, particularly in Indonesia. This study aims to estimate sun bear density and occupancy in the Intensive Protection Zone of Bukit Barisan Selatan National Park using camera-trap data collected between 2015 and 2022. Due to the inability to reliably identify individual bears from their markings, we employed an unmarked Spatial Capture-Recapture (SCR) approach within a Bayesian framework to estimate density. We found that sun bear density was estimated to be 9.0 individuals/100 km2 (95% CI = 4.5–16.7) in 2015, 5.5 individuals/100 km2 (95% CI = 2.3–10.8) in 2019, and 9.0 individuals/100 km2 (95% CI = 3.8–16.7) in 2022. The occupancy of sun bears was estimated to be 0.62 in 2015, 0.82 in 2019, and 0.66 in 2022. These results highlight the effectiveness of the unmarked SCR approach for unmarked species and provide essential baseline data for long-term monitoring. The findings emphasize the importance of continued protection and habitat management within the remaining protected area in southern Sumatra to safeguard this vulnerable species.
MODELING DISASTER RISK IN INDONESIA: A LATENT VARIABLE MODELING APPROACH TO HEVA ASSESSMENT Riki Herliansyah; Irma Fitria; Nurul Maqfirah Rauf; Adha Karamina Achmad
Jurnal Statistika dan Aplikasinya Vol. 9 No. 2 (2025): Jurnal Statistika dan Aplikasinya
Publisher : LPPM Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JSA.09201

Abstract

Indonesia, as the world's largest archipelagic nation, faces significant disaster risks due to its position at the convergence of three major tectonic plates. This study employs Generalized Linear Latent Variable Models (GLLVM) to analyze relationships among 12 Hazard, Exposure, and Vulnerability Assessment (HEVA) indicators across 34 Indonesian provinces. The HEVA dataset used in this study was obtained from the United Nations University – Institute for Environment and Human Security (UNU-EHS), which provides harmonized global risk indicators for hazard intensity, exposure levels, and socioeconomic–environmental vulnerability. Unlike conventional approaches assuming variable independence, GLLVM captures complex dependency structures through latent variables, providing deeper insights into multidimensional disaster risk patterns. Model-based ordination analysis reveals distinct spatial risk patterns. Eastern provinces (Papua, Maluku) demonstrate high physical vulnerability and exposure despite lower hazard levels, while Java provinces show moderate hazards but lower vulnerability due to better infrastructure and governance. A notable negative correlation (r < -0.70) between hazard levels and vulnerability indicators suggests that regions frequently exposed to disasters develop stronger adaptation capacity. Conversely, vulnerability indicators show very strong positive correlations (r > 0.90), indicating interconnections requiring holistic interventions. Incorporating geographical covariates such as population, number of islands, and provincial areas reveals significant relationships with HEVA indicators. Population shows negative associations with physical and environmental vulnerability but positive relationships with climate and geophysical hazards, i.e., the corresponding 95% CIs do not contain zero, reflecting urbanization's dual nature. The number of islands positively correlates with multiple vulnerability indicators, highlighting structural challenges in archipelagic disaster management, including limited accessibility and infrastructure connectivity. Provincial areas demonstrate positive relationships with vulnerability indicators but negative associations with economic exposure, indicating concentrated economic activities in urban centers. These findings emphasize differentiated spatial approaches for disaster mitigation.
Implikasi proyeksi kinerja jaringan jalan terhadap kebijakan transportasi Kabupaten PPU akibat pembangunan Ibu Kota Nusantara Ariyaningsih Ariyaningsih; Dwiana Novianti Tufail; Priyo Wibisono; Riki Herliansyah
Region : Jurnal Pembangunan Wilayah dan Perencanaan Partisipatif Vol 21, No 2 (2026)
Publisher : Regional Development Information Center, Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/region.v21i2.115722

Abstract

Penajam Paser Utara (PPU) mengalami peningkatan tekanan mobilitas karena berfungsi sebagai wilayah penyangga, pintu masuk logistik, dan penghubung regional menuju Ibu Kota Nusantara (IKN). Penelitian ini bertujuan untuk: (1) menilai kinerja jaringan jalan eksisting; (2) memproyeksikan perubahan kinerja jaringan pada 2030, 2035, dan 2045; (3) mengevaluasi kesiapan layanan angkutan umum sebagai alternatif kendaraan pribadi; dan (4) merumuskan implikasi kebijakan transportasi-spasial yang terintegrasi. Analisis menggunakan data pencacahan lalu lintas, kapasitas ruas, matriks asal-tujuan, proyeksi penduduk dan ekonomi, perubahan tata ruang, survei persepsi pengguna, serta analisis spasial berbasis Sistem Informasi Geografis. Kinerja ruas dinilai melalui rasio volume terhadap kapasitas (VCR), sedangkan layanan angkutan umum dianalisis dengan Customer Satisfaction Index (CSI). Hasil menunjukkan bahwa sebagian besar ruas masih memiliki VCR di bawah 0,30, tetapi beberapa koridor strategis telah mendekati kondisi jenuh; nilai tertinggi yang teridentifikasi mencapai 0,774 dan volume harian pada salah satu koridor utama mencapai 4.419 smp/hari. Dalam skenario tanpa intervensi, kelas VCR 0,50–1,00 semakin meluas pada 2030–2035 dan beberapa ruas strategis diproyeksikan melampaui VCR 1,00 pada 2045. Pada saat yang sama, CSI angkutan umum hanya 53,43% atau berkategori sangat buruk, terutama pada aspek kenyamanan, kapasitas, aksesibilitas, dan keterpaduan. Temuan tersebut menunjukkan bahwa pelebaran jalan secara parsial tidak memadai. Kebijakan perlu diarahkan pada penanganan koridor kritis secara bertahap, reformasi layanan angkutan umum, pengembangan jaringan multimoda, pengendalian pemanfaatan ruang di sekitar pusat kegiatan, serta koordinasi PPU–IKN–Balikpapan dalam satu sistem transportasi regional.
Latent variable models for multi-species counts modeling in ecology RIKI HERLIANSYAH; IRMA FITRIA
Biodiversitas Journal of Biological Diversity Vol. 19 No. 5 (2018)
Publisher : Society for Indonesian Biodiversity

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/biodiv/d190538

Abstract

Herliansyah R, Fitria I. 2018. Latent variable models for multi-species counts modeling in ecology. Biodiversitas 19: 1871-1876. High-dimensional multi-species counts are often collected in ecology to understand the spatial distribution over different locations and to study effects of environmental changes. Modeling multivariate abundance is challenging as we need to consider the possibility of interactions across species. Latent variable models are the recent popular approaches in statistical ecology to address such issue that has a similar framework to ordinary regression models. In this paper, we employed the poisson distribution for modeling count responses and a negative binomial distribution for more frequent zeros in observations. The implementation of a latent variable model, Generalized Linear Latent Variable Models (GLLVMs), was demonstrated on multi-species counts of endemic bird species collected in 37 different sites in Central Kalimantan, Indonesia. The main objectives were to study the effect of logging activities on abundance of endemic species and their interactions and to observe the habitat preference of certain species. Our study found that out of four endemic species, Alophoixus bres and Eurylaimus javanicus species were significantly affected by logging activities. The sign of parameters was negative indicating the logging activities in 1989 and 1993 bring significantly negative impacts on those species. The interaction created among species was strongly negative for major endemic species especially Alophoixus bres and Eurylaimus javanicus that prefer living in primary forest than in logging areas.
Co-Authors Abdul Alimul Karim Achmad Farizul Hasmi Adha Karamina Achmad Ahmad Yassar Sitompul Alexander Kurniawan Sariyanto Putera Ariyaningsih Asep Yayus Firdaus DEDE AULIA RAHMAN Dede Aulia Rahman Donny Pasunyar Dwiana Novianti Tufail DYAH PERWITASARI -FARAJALLAH Faisal - Manta Fauzan Adzimi IRMA FITRIA Irma Fitria Kurniawati, Diniar Mungil Lintang Nataniela Dewanti Luhur Septiadi Menasita Mayantasari Mochamad Syamsudin Muhammad Azka Muhammad Idris Al-Hakim Muqimuddin Muqimuddin Nurul Ilma Hidayanty Nurul Maqfirah Rauf Priyo Wibisono Puji Rianti Rikha Aryanie Surya Riola Montissa Sodikin Sodikin Stanislav Lhota Ujang Mamat Rahmat Ulfah Anisah Shalihah Yeni Aryati Mulyani