Search

This study aimed to analyze the effect of Islamic Leadership and Job Satisfaction on Sharia Engagement and Employee Performance to build a model linkage capable of enhancing the performance of Islamic banks in Indonesia, which can be implemented through managerial or internal policies. This is quantitative research with data collected by distributing questionnaires to 400 employees of Islamic Bank in Indonesia and analyzed using the SEM. The result showed that Islamic Leadership significantly affects Sharia Engagement and Job Satisfaction. Job satisfaction also has a significant effect on Sharia Engagement, and Sharia Engagement has a significant effect on Employee Performance. Meanwhile, Islamic Leadership and Job Satisfaction do not have the ability to significantly impact Employee Performance. The relationship between these variables shows that the Islamic Leadership model alone is not enough to improve Employee Performance. Its implementation tends to affect Job Satisfaction and increase Sharia Engagement, thereby affecting Employee Performance. Meanwhile, the indicator of Belief in Supervision from Allah SWT, has the smallest loading factor value. It indicates that the ukhrawi dimension was not properly implemented. This is a significant task for Islamic banking in Indonesia to be perceived as a product label and an integral dimension of employees. Study limits: Focus on specific variables, excluding factors like internal marketing and employee welfare. Data covers a three-year period for Sharia Banking employees, not fully capturing relationships for those with less experience. Neglects cultural aspects in Islamic banking management, offering an incomplete view of work culture in Indonesian Islamic banks.

This study examines the risks associated with investing in Indonesia, as well as the impact of foreign direct investment (FDI) on the country's macroeconomy. It uses the autoregressive distributed lag (ARDL) method to analyze the short-term and long-term relationship between macroeconomic variables and FDI inflows. The study utilizes annual time series data spanning from 1984 to 2015. The exchange rate is critical in the short term because it has an inverse effect on foreign direct investment (FDI). On the other hand, factors like inflation, GDP growth risk, and economic and political concerns have a major impact on foreign direct investment (FDI) over a long period of time. Financial factors, however, do not exhibit long-term cointegration with FDI. Prudent international investors prioritize the instability of macroeconomic variables to optimize profits on invested funds, highlighting the necessity of government regulation over these variables to enhance foreign direct investment inflows. This study contributes to the current body of work regarding the influence of country risk on foreign direct investment (FDI) inflows into Indonesia.

Hydrogen is a promising renewable energy carrier and eco-friendly alternative to fossil fuels. Water-gas-shift reaction (WGSR) is commonly used to generate hydrogen from renewable biomass feedstocks. Enriching hydrogen content in synthesis gas (syngas) production can be made possible by applying the WGSR after gasification. WGSR can achieve a maximal carbon monoxide (CO) conversion using a commercially patented CZA (Cu/ZnO/Al2O3) catalyst. This study proposed three in-lab self-synthesized CZA catalysts to be evaluated and compared with the patented catalyst performance-wise. The three catalysts were prepared with co-precipitation of different Cu:Zn:Al molar ratios: CZA-431 (4:3:1), CZA-531 (5:3:1) and CZA-631 (6:3:1). The catalysts characteristics were determined through X-ray diffraction (XRD), Brunauer-Emmett-Teller (BET) analysis and Scanning Electron Microscopy (SEM) techniques. CO gas was mixed with steam in a catalytic reactor with a 3:1 molar ratio, running continuously through the catalyst at 250 °C for 30 mins. All three catalysts, however, performed below expectations, where CZA-431 had a CO conversion of 77.44%, CZA-531 48.75%, and CZA-631 71.67%. CaO, as a co-catalyst, improved the performance by stabilizing the gas composition faster. The CO conversion of each catalyst also improved: CZA-431 improved its CO conversion to 97.39%, CZA-531 to 96.71%, and CZA-631 to 95.41%. The downward trend of the CO conversion was deemed to be caused by copper content found in CZA-531 and CZA-631 but not in CZA-431, which tended to form a Cu-Zn metal complex, weakening the catalyst's activity.

Even though Indonesia faces significant gender disparities across various sectors, including education, health, employment, and political representation, there remains a dearth of research addressing the barriers and strategic solutions for women's empowerment, which is the aim of this study. A quantitative method driven by the Modified Penta Helix Model (MPM) and the Delphi Analytical Network Process (DANP) was used. On the one hand, MPM was used to establish renewal between the five strategic dimensions and other additional elements such as economic, socio-cultural, and education and training. On the other hand, D-ANP developed indicators based on Focus Group Discussions (FGD) outcomes, in-depth interviews, and structured questionnaires. According to this study, education and training are essential in empowering women. The results of this study indicate the main problems in empowering women, which are divided into eight main dimensions: economic, socio-cultural, education and training, government support, association support, academic support, media support, and private sector support. Education and training were the most critical problems in empowering women. Collaboration between academics, business, community, government, and media is essential to develop effective education and training programs to empower women in Indonesia. Through employing D-ANP and MPM methodologies, this study suggests a model of women's economic empowerment to improve the quality of Indonesian women and Indonesia's position in the Women's Empowerment Index.

This study investigates the effects of varying temperatures on the co-pyrolysis of wood sawdust (WS) and waste tires (WT) within a stainless steel fixed-bed reactor under a nitrogen atmosphere. The experiments were conducted at three different temperatures: 400 °C, 500 °C, and 600 °C, focusing on the thermal behavior and resultant product yields. At 600 °C, WS produced the highest oil yield (63.6 wt%), suggesting a tendency to generate more aqueous and volatile components. Conversely, WT alone showed an optimal oil yield of 46.4 wt% at 500 °C, while the WS-WT blend achieved 55.6 wt%. Gas chromatography-mass spectrometry (GC-MS) analyses of the pyrolytic oils indicated that WS-heavy mixtures were rich in aliphatic compounds, whereas WT-dominant samples had increased aromatic and phenolic contents, demonstrating the potential for creating valuable chemicals from waste. Additionally, gas analysis highlighted significant variations in syngas composition, with increased methane and decreased CO2 levels at higher temperatures, emphasizing the role of the water-gas shift reaction. These findings underscore the critical importance of temperature control in optimizing the efficiency and quality of products from co-pyrolysis, presenting a viable method for enhancing the value derived from waste materials.

Keterbatasan Kemampuan Teknologi dan rendahnya pemahaman sertifikasi halal anggota kelompok POKDARWIS membuat Agrowisata Halal Desa Besur belum dapat bangkit pasca pandemi. Oleh karenanya, dibutuhkan oemberdayaan masyarakat pada aspek sosial ekonomi melalui pemanfaatan teknologi dan sertifikasi halal pada produk UMKM (Usaha Mikro Kecil Menengah). Permasalahan prioritas yang dihadapi oleh pengelola Agrowisata Halal Desa Besur adalah (1) minimnya penggunaan sosial media oleh Pelaku UMKM dalam mempromosikan produknya, (2) minimnya pemanfaatan teknologi dalam pelaporan keuangan, (3) terbatasnya pemahaman UMKM terkait pentingnya sertifikasi halal, dan (4) Terbatasnya produk UMKM di desa wisata Besur yang sudah memiliki sertifikasi halal. Untuk itu, peneliti melakukan pemberdayaan sosial ekonomi masyarakat melalui pemanfaatan teknologi dan sertifikasi halal. Hal ini untuk mengoptimalkan kesiapan re-launching Agrowisata Halal dalam pemanfaatan teknologi dan peningkatan sertifikasi halal. Pelatihan dan pendampingan yang akan dilaksanakan meliputi: (1) pelatihan penggunaan sosial media untuk promosi, (2) pelatihan pemanfaatan teknologi dalam pelaporan keuangan, (3) sosialisasi pentingnya produk halal dan sertifikasi halal, dan (4) pendampingan produk halal dan ersertifikasi halal. Hasil kegiatan selama kurang lebih dua bulan, di dapatkan peningkatan pemahaman anggota kelompok POKDARWIS dalam pengunaan sosial media pemasaran, pencatatan keuangan dan pemahaman produk halal. Masyarakat Desa besur, utamanya anggota POKDARWIS sudah mampu mengembangkan Desa Agrowisata Besur.

The low marketing literacy of MSMEs in Kaliombo Village, Pekalongan Regency, has resulted in low marketing activities such as packaging, product branding, and digital marketing. Apart from that, the literacy of MSME actors in the Village regarding halal products is still low, so they require readiness for the marketed products to comply with Government Regulations regarding Halal Product Guarantees. This government regulation requires that all products traded are halal so that they enter the halal ecosystem. This community service is carried out with training and mentoring activities to increase literacy regarding the importance of branding, packaging, digital marketing, and halal-haram to prepare MSME residents of Kaliombo Village to face competition in the market and enter the halal ecosystem. This empowerment includes socialization and assistance regarding concepts, uses, and how to apply branding, packaging, digital marketing, and halal-haram to the Kaliombo Village community farmer groups. This empowerment has an impact on increasing the competitiveness of MSMEs through optimizing brand design, packaging design, creating and developing social media accounts, and preparing to self-declare for halal certification permits for MSMEs.

This study aims to discover the motives behind several Muslim youths in Indonesia who consume 0% alcohol drinks from popular alcohol brands even though the drink is not halal certified. This phenomenological research describes a factual reality based on the informant's experience as a consumer of 0% alcohol drink. Data sources were obtained through direct and indirect interviews with 15 informants, namely Muslim youth who consume 0% alcohol with an age range of 15-25 years. The results of this study indicate that there are internal and external motives behind Muslim youths consuming 0% alcohol. Internal motives from within Muslim adolescents include curiosity and the desire to try as an alternative to drinking, as well as to relieve stress and to refresh themselves. Meanwhile, external motives or influences from outside the Muslim youth include invitations from peers and environmental influences. This research also identified that some perpetrators who drink 0% of alcoholic drinks made by popular alcohol brands have low awareness of the halal label. This study contributes to global research by revealing how Muslim youth in Indonesia, driven by curiosity and peer influence, consume 0% alcohol drinks despite the lack of halal certification. This study suggests increasing halal awareness among Muslim adolescents through education and encouraging the Indonesian Ulema Council to emphasize the importance of halal certification, particularly for 0% alcohol drinks, to guide informed consumer choices.

This study investigates the relationship between Institutional quality, Economic freedom, technological advancement, and Islamic financial development in selected OIC countries. This study employs the panel estimation method to examine annual data pertaining to Islamic bank industries across 22 countries, sourced from the SESRIC database, from 2013 to 2021. The findings show that the overall quality of institutions and economic freedom influence Islamic finance development. Further, the contribution of technological development appears when institutional quality indicates higher performance. Despite the predominant correlation observed among institutional indicators, this study, focusing on a comprehensive index, reveals a consistent and significant contribution of institutional quality to the growth of Islamic finance. Furthermore, this study's findings show that institutional quality and economic freedom are related; yet, the methods by which the foundations of each indicator influence financial development differ. The findings of this research underscore the importance of urging policymakers, particularly governmental authorities, to prioritize the development of policies and initiatives aimed at fostering a healthy and conducive environment. Emphasizing practical and transparent institutional frameworks is essential for cultivating a well-regulated economic environment.

The purpose of this research is to test empirically the impact of green banking implementation, financial performance, and Covid-19 crisis on Islamic bank profitability in Indonesia for the period of 2015-2021. This study uses two quantitative approaches, specifically static panel data method and dynamic panel data method (generalized method of moments or GMM). The secondary data used in this paper with a total sample of 10 Islamic commercial banks in Indonesia. This study finds that the implementation of Green Banking as the main determinant has a significant relationship to the profitability of Islamic Banks in Indonesia. The study also finds that financial performance variables such as CAR, NPF, and OEF show that contribution to the level of Islamic bank profitability in Indonesia. Further, other finding regarding the dummy crisis variable, Covid-19 crisis finds that a strong relationship to the Islamic bank profitability. It means that Covid-19 crisis will impact negatively to Islamic bank profitability in Indonesia. Based on the results of the robustness check, the model in this research is stated to be robust. The findings are expected to be useful for policy makers as well as for Islamic banking circles. Research results can be used as input in formulating policies in achieving sustainable development goals and economic and social recovery programs after the Covid-19 pandemic.

The banking industry necessitates implementing an early warning system to effectively identify the factors that impact bank managers and enable them to make informed decisions, thereby mitigating systemic risk. Identifying factors that influence banks in times of stability and crisis is crucial, as it ultimately contributes to developing an improved early warning system. This study undertakes a comparative analysis of the stability of Indonesian Islamic and conventional banking across distinct economic regimes-crisis and stability. We analyze monthly banking data from December 2007 to November 2022 using the Markov Switching Dynamic Regression technique. The study focuses on conducting a comparative analysis between Islamic banks, represented by Islamic Commercial Bank (ICB) and Islamic Rural Bank (IRB), and conventional banks, represented by the Conventional Commercial Bank (CCB) and Conventional Rural Bank (CRB). The findings reveal that both Islamic and conventional banks exhibit a higher probability of being in a stable regime than a crisis regime. Notably, Islamic banks demonstrate a greater propensity to remain in a stable regime than their conventional counterparts. However, in a crisis regime, the likelihood of recovery for Sharia-compliant institutions is lower than for conventional banks. Furthermore, our analysis indicates that larger banks exhibit higher stability than their smaller counterparts regarding assets and size. This study pioneers a comprehensive comparison of the Z-score, employed as a proxy for stability, between two distinct classifications of Indonesian banks: Sharia (ICB and IRB) and conventional (CCB and CRB). The result is expected to improve our awareness of the elements that affect the stability of Islamic and conventional banking in Indonesia, leading to a deeper comprehension of their dynamics.

AbstractThe study examines the stability of Indonesian Islamic Commercial Bank (ICB) and Islamic Rural Bank (IRB) by employing a Markov Switching Dynamic model of two regimes, stable (tranquil) and unstable (crisis). This study utilizes monthly data between December 2007 and April 2022. Findings show that both ICB and IRB have greater probabilities of remaining in the tranquil regime compared to the period of crisis. Even though ICB Z-scores have a wider range of volatility than IRB Z-scores, the ICB has been shown to recover from crises faster than the IRB. The differences in characteristics between ICB and IRB, as well as swings in the Z-score, do not provide resilience benefits. Thus, both ICB and IRB are equally vulnerable to the crisis. This study’s findings could be used to generate policy for the relevant stakeholders of Islamic banking industries.

Permasalahan dalam penelitian ini untuk mengetahui tingkat kejujuran dan skor kepercayaan peserta didik. Oleh karena itu, pendidik akan selalu bersentuhan dengan istilah evaluasi pembelajaran seperti tes. Akan tetapi, dalam realitas implementasinya dari pelaksanaan tes tersebut masih ditemui tindak penyimpangan yang dilakukan oleh peserta didik. Pendidik urgensi sekali untuk mengetahui segala proses kegiatan belajar mengajar, terutama perihal pelaksanaan ujian. Ketidakjujuran dalam penerapan ujian daring merupakan salah satu masalah yang terjadi di Indonesia selama sistem pembelajaran jarak jauh. Dalam penelitian ini, penulis akan memberikan solusi atas problematika tersebut. Tentunya, dengan fitur-fitur yang menarik dalam laman Autoproctor, baik itu kamera, audio, dan tab switch akan memperlihatkan secara konkret perihal sejauh mana tingkat kejujuran dan skor kepercayaan peserta didik dalam mengerjakan tes yang telah dirancang oleh seorang pendidik sebelumnya. Metode penelitian dan pengembangan laman ini adalah mix method. Hasil penelitian menunjukkan efektivitas laman Autoproctor dalam merepresentasikan trust score dan skor sesungguhnya pada sistem PJJ dapat dikatakan kredibel dan efektif. Oleh karena itu, hadirnya laman Autoproctor melalui beragam fiturnya, yakni camera, audio, dan tab switch, dapat memberikan jawaban atas kegelisahan pendidik maupun peserta didik, terutama mengenai pemberian “skor sesungguhnya yang sudah terhindar dari berbagai tindakan menyimpang” peserta didik, terutama ketika evaluasi pembelajaran online dilakukan.

Filantropi Islam di Indonesia memiliki tujuan yang relevan dengan Sustainable Development Goals (SDGs), yaitu kesejahteraan. Disamping itu, potensi penghimpunan dana filantropi Islam di Indonesia menjadi keuntungan tersendiri. Namun, lembaga filantropi Islam memiliki beberapa permasalahan diantaranya: permasalahan di bidang kelembagaan, teknologi, sumber daya manusia, regulasi dan tata kelola. Salah satu cara untuk mengatasi permasalahan tersebut adalah melakukan integrasi keuangan sosial syariah. Kegiatan pengabdian masyarakat ini bertujuan untuk memberikan pembinaan integrasi keuangan sosial syariah kepada lembaga filantropi Islam dan stakeholder terkait. Pembinaan dilakukan sebanyak dua kali. Kegiatan pertama dilakukan secara online kepada Lembaga filantropi Islam dengan memanfaatkan media zoom. Kegiatan pertama menghadirkan para pakar dari perwakilan regulator, praktisi dan akademisi untuk memberikan arahan dan catatan penting terkait dengan materi pembinaan yang diberikan. Pembinaan kedua secara hybrid kepada masyarakat Desa Tambakrigadung, Lamongan. Hasil program pengabdian menujukkan telah terbina sejumlah lembaga filantropi Islam dalam integrasi keuangan sosial syariah, salah satunya pada implementasi program yang memberi dampak langsung terhadap masyarakat yang membutuhkan.

Zakat as an instrument of poverty alleviation, is considered very effective in distributing welfare. However, the reported zakat receipts in Indonesia are still far from the estimated revenue potential. This research examined the factors that motivate the payment of zakat through an official national institution or organization. This quantitative research employed the explanatory method, with data analysis techniques comprising the partial test (t), stimulant test (F), and the coefficient of determination (R2). Subsequently, the results indicated that the factors of religiosity, zakat literacy and government regulations simultaneously affect the motivation to pay zakat through a management agency. Partially influencing factors were zakat literacy and government regulations, while religiosity had no effect.

This research aims to examine the effects of the Islamic social finance (zakat), the Islamic Human Development Index (IHDI), and the quality of governance on poverty alleviation in 39 Organization of Islamic Cooperation (OIC) member countries from 2007 to 2020. This study uses a fixed effect model to analyze the relationship between variables. The findings show that the Islamic human development index, as a proxy for the quality of human resources, supports the reduction of poverty in OIC countries. Furthermore, the zakat, voice and accountability, and trade openness have a negative and significant relationship with poverty. The quality of governance, population, inflation, and exchange rate, on the other hand, has no significant effect on the poverty rate. These findings can be used as the foundation for state government as the policymaker to solve poverty. The uniqueness of this study is the application of the modified human development index based on the five Islamic objectives and empirically investigates its impact on poverty.

This study aims to conduct a bibliometric analysis on peer-to-peer lending literature published in Scopus indexed journals from an economic and business perspective. The data were processed and analyzed using VOSviewer software. To the best of authors’ knowledge, this is the first paper that conducts a bibliometric analysis of the peer-to-peer lending literature using VOSviewer. The results of study showed the most popular authors, countries, organizations and keywords. Moreover, this study also discovered trending topics from recent publications. A direct benefit of this study is to provide input for stakeholders, businessmen and investors to identify important issues regarding peer-to-peer lending and directions for further researchers.

This study proposed an integrated model of Islamic Social Finance (ISF) to accelerate the transformation of the poor toward prosperity. This is a qualitative and quantitative approach using grounded theory and the Average Weighted Index (AWI). The integration model of Islamic social finance is implemented through 4 ER (Economic Rescue, Economic Recovery, Economic Reinforcement, and Economic Resilience) by integrating Islamic social finance instruments in a joint project scheme. The additional finding of the empirical investigation shows that integrated Islamic social finance is 12% more effective in enriching the poor than the non-integrated program. This study emphasizes the significance of integrating Islamic social finance in accelerating the well-being of the poor community.

This study explores the effect of zakat and non-zakat empowerment programs on the beneficiaries' welfare (mustahiq). This study focuses on the influence of the intervening variable, namely the mustahiq businesses' growth on mustahiq welfare. This study also examines the role of demographic characteristics, such as age, gender, and years of education on mustahiq business growth. This study employs the Partial Least Square-Structural Equation Model (PLS-SEM) using data from 100 respondents who received empowerment assistance from three different zakat institutions. The sample of mustahiq was selected from three zakat institutions to provide a diversity of respondents. The results indicate that zakat and non-zakat programs' empowerment through business growth has significantly affected mustahiq welfare. With these results, both zakat and non-zakat productive programs should be more developed to assist the community businesses' growth optimally. Previous studies measure the welfare of mustahiq with material aspects. In this study, the indicator of welfare is based on maqashid sharia, which includes the protection of Ad-Din (religion), An-Nafs (Soul), Al-Aql (intellect), Al-Nasl (descendant), and Al-Maal (wealth). Examining the impact of two variables, namely productive empowerment programs through zakat and non-zakat, on mustahiq business growth and welfare is the novelty of this study.

Liquidity risk is one of significant risk managed by financial intermediaries including Islamic Microfinance Institutions (IMFIs). The financial intermediaries accept short-term deposits and disburse these deposits in the form of long-term loans. This situation makes IMFI desperately need a lender of last resort (LOLR). Nevertheless, there has been no formal LOLR for Indonesian IMFIs. This study intends to construct the LOLR model for IMFI in Indonesia. This qualitative study applies a case study analysis. This study's subjects are IMFIs in East Java Province that was selected purposively with thirty managers as the key informants. Research findings show that the best model of LOLR is developing a secondary cooperative since the majority form of IMFIs in Indonesia are cooperative entities. With all members of a secondary cooperative deposit for reserve requirements, they can place excess liquidity in the secondary cooperative and ask for financial support.

Islamic education always intersects with the movement of dynamic times. Islamic education is currently in the industrial revolution 4.0 era. which involves industrial competition. With cyber-based, this competition makes Islamic education at a crossroads. This article efforts to express the thought of Islamic education by considering Fazlur Rahman’s thought and its relevance to education in the industrial revolution 4.0 era. With the descriptive-analysis method, this article shows that Fazlur Rahman is concerned about strengthening the education system and strengthening the quality of Islamic education output through the renewal of Islamic education. Islamic education must be able to answer the needs in modernity, because surviving the old tradition is an intellectual suicide process, so that it is relevant to the industrial revolution 4.0 era.[Pendidikan Islam selalu bersinggungan dengan gerak zaman yang dinamis. Pendidikan Islam saat ini berada pada era revolusi industri 4.0. yang melibatkan persaingan industri. Dengan berbasis cyber, persaingan ini membuat pendidikan Islam berada pada persimpangan jalan. Artikel ini berupaya mengungkapkan pemikiran pendidikan Islam Fazlur Rahman dan relevansinya dengan pendidikan di era revolusi industri 4.0. Dengan metode analisis-deskriptif, artikel ini menunjukkan bahwa Fazlur Rahman memerhatikan penguatan sistem pendidikan serta penguatan kualitas output pendidikan Islam melalui pembaharuan pendidikan Islam. Pendidikan Islam harus mampu menjawab kebutuhan zaman, karena bertahan pada tradisi lama merupakan proses bunuh diri intelektual, sehingga ia relevan dengan era revolusi industri 4.0]

This study aims to determine the influence of long-term and short-term global stock index on the Indonesian Islamic stock index. The approach used is a quantitative approach and uses the Error Correction Model (ECM) method. ECM is an analytical model that can be used in time series data to estimate the effect of independent variables on long-term and short-term use variables. The sample used was taken from secondary data, namely global stock index data consisting of the DJIA, N225 and HSI indices, and the Indonesian sharia stock index in the form of the ISSI index in the period of January 2013 to December 2017, so that 60 samples were obtained. The test results show that in the long run, the DJIA and HSI indices have a significant positive effect on the ISSI index, while the N225 index has a significant negative effect on the ISSI index. In the short term, only the DJIA index has a significant positive effect on the ISSI index.

As one of the members of the Organisation of Islamic Corporation (OIC), Indonesia has excellent trade prospects. Therefore, this study has a purpose to examine the impact of macroeconomics factors on trade between Indonesia and intra-OIC countries. The variables of macroeconomics in this study consist of country risks, inflation, exchange rate, oil price, and economic growth. Quantitative is the right method for this study, applying Ordinary Least Square (OLS) regression with the help of EViews. The data used for the analysis is a time horizon with annual frequency from 1986 to 2016. Furthermore, finding shows that almost all variables of macroeconomics play an insignificant role in determining the trade between Indonesia and Islamic countries. However, the oil price is the only variable to show its contribution towards trade between Indonesia and intra-OIC countries. The results indicate that macroeconomic variables do not contribute to the key decisions for conducting trade internationally. Political factors and bilateral treaties become better variables to explain Indonesia's trade with other Islamic countries.

The purpose of this study is to analyze how the linkage program of Islamic institutions and government institution in empowering MSMEs and analyze the increase in the range of empowerment. By using a qualitative research approach and descriptive analysis method, the results of this study indicate that there are four parties involved in the empowerment linkage program and each party has their respective roles in the aim of empowering MSMEs. Furthermore, there is also increasing in the range of empowerment in terms of the amount of empowerment program funding and improving the quality of MSME after participating in the empowerment program.

The utilization of Islamic social finance instruments is far behind what is expected. To realize its full potential, Islamic social finance instruments must be integrated. This study examined solutions and priority strategies for integrating sustainable Islamic social finance that could be implemented in the short and long term using the Benefit, Opportunity, Cost, and Risk (BOCR) framework, which includes six aspects: Governance, sustainable financing, institutional aspect, human resources, regulations, and supporting technology. This qualitative research employed the Analytic Network Process (ANP) method using the benefit, opportunity, cost, and risk analysis. The data were obtained mainly through focus group discussions and in-depth interviews with respondents among academics, practitioners, associations, regulators, and community leaders. The respondents were selected for their expertise and experience in the selected topic. The data were processed using the Microsoft Excel and Super Decision software. There are several findings worth considering from the analysis. First, the highest priority in integrating Islamic social finance aspects are human resources (0.97), regulation (0.86), and technology (0.76). Second, based on the short- and long-term analysis, financial integration through sustainable financing (0.01 and 1.44, respectively) and improving human resource quality through certification and training (0.01 and 1.56, respectively) is a priority solution and strategy to integrate sustainable Islamic social finance. Meanwhile, according to expert judgments, integrating national data (0.24) and optimizing technology use (0.18) are priority solutions and strategies. The findings emphasize the critical role of improving human resource quality to utilize technology, with experts identifying a national data integration as the most critical solution. As a result, relevant stakeholders are concerned about technology management training for Islamic philanthropic managers, with the goal of maximizing the potential of technology's growing role and adoption.

Several previous studies state that the Islamic Social Finance program has not fully succeeded in creating prosperity, and there are no definite measurements to show the sustainability impact of the program. Thus, a measurement is needed to analyze various aspects in achieving the success and sustainability of Islamic social finance programs. This study developed an index for performance evaluation with an emphasis on the success and sustainability of the Islamic Social Finance program. The study used the Analytical Network Process to determine and analyze priority components. Furthermore, the Multistage Weighted Index method was used to calculate the final index score. The index was built by taking into consideration various factors, stakeholders, aspects, and indicators. This study indicates that aspects of funding contribution from donors (0.22), involvement of donors in giving advice (0.99), and controlling of supervisor (0.08) are priority aspects in the success and sustainability of the program. An empirical investigation was performed on three different programs in Indonesia: A, B, and C. Program A (0.81) and C (0.80) have succeeded in improving the beneficiaries’ quality of life to the level of economic resilience, although at a low level of sustainability (76–84.33). On the other hand, program B (0.73) is at the economic reinforcement and has not yet achieved sustainability. This index can be seen as a comprehensive tool for measuring the success and sustainability of the program at several levels.

This study aims to determine whether interest-based debt limitation and non-halal income limitation have significant effect on the firm value. Sharia stock issuers in Indonesia are obliged to pass several conditions set by the market regulator, some of them are limitations of the interest-based debt and non-halal income. This study assumes that the lower portion of interest-based debt and non-halal income, the more the investors will prefer the stocks, thus increasing the firm value. The subjects of this study are the companies listed on JII period 2013-2017. This study measures interest-based debt with ratio of interest-based debt devided by total debt, measures non-halal income with ratio of non-halal income divided by operating revenue, and measures the value of the firm with PBV. The analysis of this study using panel data regressions with fixed effects models with robust standard errors. The results shows that interest-based debt and non-halal income have no effects on the value of the firm, partially and simultaneously Keywords: Interest baseddebt, Non-halal income, Sharia stocks, Value of the firm

The aim of this study is to understand how coastal moslem’s creative economy development are. This study has used qualitative approach with study case strategy. Data collection has done by interviewing the informants i.e. Head of Kelurahan Sukolilo and Creative Industry’s stakeholder nearby Kenjeran, Surabaya. The result of this study is an appropriate model to develop coastal moslem’s socio-economics is a holistic-integrated developments. The model involved sort of stakeholders viz. fishermans, seafood crackers producers, the government, NGO’s, and universities. Keywords : Coastal Communities, Creative Economy, Kenjeran, Sosio-Economic Development

Passive acoustic monitoring is a promising tool for monitoring at-risk populations of vocal species, yet, extracting relevant information from large acoustic datasets can be time-consuming, creating a bottleneck at the point of analysis. To address this, an open-source framework for deep learning in bioacoustics to automatically detect Bornean white-bearded gibbon (Hylobates albibarbis) "great call" vocalizations in a long-term acoustic dataset from a rainforest location in Borneo is adapted. The steps involved in developing this solution are described, including collecting audio recordings, developing training and testing datasets, training neural network models, and evaluating model performance. The best model performed at a satisfactory level (F score = 0.87), identifying 98% of the highest-quality calls from 90 h of manually annotated audio recordings and greatly reduced analysis times when compared to a human observer. No significant difference was found in the temporal distribution of great call detections between the manual annotations and the model's output. Future work should seek to apply this model to long-term acoustic datasets to understand spatiotemporal variations in H. albibarbis' calling activity. Overall, a roadmap is presented for applying deep learning to identify the vocalizations of species of interest, which can be adapted for monitoring other endangered vocalizing species., (© 2024 Acoustical Society of America.)

Uncontrolled fires place considerable burdens on forest ecosystems, compromising our ability to meet conservation and restoration goals. A poor understanding of the impacts of fire on ecosystems and their biodiversity exacerbates this challenge, particularly in tropical regions where few studies have applied consistent analytical techniques to examine a broad range of ecological impacts over multiyear time frames. We compiled 16 y of data on ecosystem properties (17 variables) and biodiversity (21 variables) from a tropical peatland in Indonesia to assess fire impacts and infer the potential for recovery. Burned forest experienced altered structural and microclimatic conditions, resulting in a proliferation of nonforest vegetation and erosion of forest ecosystem properties and biodiversity. Compared to unburned forest, habitat structure, tree density, and canopy cover deteriorated by 58 to 98%, while declines in species diversity and abundance were most pronounced for trees, damselflies, and butterflies, particularly for forest specialist species. Tracking ecosystem property and biodiversity datasets over time revealed most to be sensitive to recurrent high-intensity fires within the wider landscape. These megafires immediately compromised water quality and tree reproductive phenology, crashing commercially valuable fish populations within 3 mo and driving a gradual decline in threatened vertebrates over 9 mo. Burned forest remained structurally compromised long after a burn event, but vegetation showed some signs of recovery over a 12-y period. Our findings demonstrate that, if left uncontrolled, fire may be a pervasive threat to the ecological functioning of tropical forests, underscoring the importance of fire prevention and long-term restoration efforts, as exemplified in Indonesia., Competing Interests: Competing interests statement:The authors declare no competing interest.

Wildlife monitoring in tropical rainforests poses additional challenges due to species often being elusive, cryptic, faintly colored, and preferring concealable, or difficult to access habitats. Unmanned aerial vehicles (UAVs) prove promising for wildlife surveys in different ecosystems in tropical forests and can be crucial in conserving inaccessible biodiverse areas and their associated species. Traditional surveys that involve infiltrating animal habitats could adversely affect the habits and behavior of elusive and cryptic species in response to human presence. Moreover, collecting data through traditional surveys to simultaneously estimate the abundance and demographic rates of communities of species is often prohibitively time-intensive and expensive. This study assesses the scope of drones to non-invasively access the Bukit Tigapuluh Landscape (BTL) in Riau-Jambi, Indonesia, and detect individual elephants of interest. A rotary-wing quadcopter with a vision-based sensor was tested to estimate the elephant population size and age structure. We developed hierarchical modeling and deep learning CNN to estimate elephant abundance and age structure. Drones successfully observed 96 distinct individuals at 8 locations out of 11 sampling areas. We obtained an estimate of the elephant population of 151 individuals (95% CI [124, 179]) within the study area and predicted more adult animals than subadults and juvenile individuals in the population. Our calculations may serve as a vital spark for innovation for future UAV survey designs in large areas with complex topographies while reducing operational effort., (© 2023. The Author(s).)

Elephants were once widely distributed across the Indonesian island of Sumatra but now exist in small, isolated populations. Using the best data available on elephant occurrence, we aimed to (a) predict potential habitat suitability for elephants ( Elephas maximus sumatranus ) across the island of Sumatra and (b) model landscape connectivity among the extant elephant populations. We used direct sightings and indirect observations of elephant signs, as well as six remotely sensed proxies of surface ruggedness, vegetation productivity and structure, and human land use and disturbance, to model habitat suitability in a Google Earth Engine (GEE) environment. We validated the habitat suitability prediction using 10-fold spatial block cross validation and by calculating the area under the precision-recall curve (AUC-PR), sensitivity, and specificity for each model iteration. We also used a geolocation dataset collected from global positioning system (GPS) collars fitted on elephants as an independent validation dataset. Models showed good predictive performance with a mean AUC-PR of 0.73, sensitivity of 0.76, and specificity of 0.68. Greater than 83% of the independent GPS collar geolocations were located in predicted suitable habitat. We found human modification, surface ruggedness, and normalized difference vegetation index to be the most important variables for predicting suitable elephant habitat. Thirty-two percent, or 135,646 km 2 , of Sumatra's land area was predicted to be suitable habitat, with 43 patches of suitable habitat located across Sumatra. Areas with high connectivity were concentrated in the Riau and North Sumatra provinces. Though our analysis highlights the need to improve the quality of data collected on Sumatran elephants, more suitable habitat remains on Sumatra than is used by known populations. Targeted habitat conservation, especially of the suitable habitat in and around the Lamno, Balai Raja, Tesso Tenggara, Tesso Utara, Bukit Tigapuluh, Seblat, Padang Sugihan, and Bukit Barisan Selatan ranges, may improve the long-term viability of this critically endangered species., (© 2023 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.)

Soil moisture deficits and water table dynamics are major biophysical controls on peat and non-peat fires in Indonesia. Development of modern fire forecasting models in Indonesia is hampered by the lack of scalable hydrologic datasets or scalable hydrology models that can inform the fire forecasting models on soil hydrologic behaviour. Existing fire forecasting models in Indonesia use weather data-derived fire probability indices, which often do not adequately proxy the sub-surface hydrologic dynamics. Here we demonstrate that soil moisture and water table dynamics can be simulated successfully across tropical peatlands and non-peatland areas by using a process-based eco-hydrology model (ecosys) and publicly available data for weather, soil, and management. Inclusion of these modelled water table depth and soil moisture contents significantly improves the accuracy of a neural network model in predicting active fires at two-weekly time scale. This constitutes an important step towards devising an operational fire early warning system for Indonesia., (© 2022. The Author(s).)

Southeast Asia is considered a global hotspot of emerging zoonotic diseases. There, wildlife is commonly traded under poor sanitary conditions in open markets; these markets have been considered 'the perfect storm' for zoonotic disease transmission. We assessed the potential of wildlife trade in spreading viral diseases by quantifying the number of wild animals of four mammalian orders (Rodentia, Chiroptera, Carnivora and Primates) on sale in 14 Indonesian wildlife markets and identifying zoonotic viruses potentially hosted by these animals. We constructed a network analysis to visualize the animals that are traded alongside each other that may carry similar viruses. We recorded 6725 wild animals of at least 15 species on sale. Cities and markets with larger human population and number of stalls, respectively, offered more individuals for sale. Eight out of 15 animal taxa recorded are hosts of 17 zoonotic virus species, nine of which can infect more than one species as a host. The network analysis showed that long-tailed macaque has the greatest potential for spreading viral diseases, since it is simultaneously the most traded species, sold in 13/14 markets, and a potential host for nine viruses. It is traded alongside pig-tailed macaques in three markets, with which it shares six viruses in common (Cowpox, Dengue, Hepatitis E, Herpes B, Simian foamy, and Simian retrovirus type D). Short-nosed fruit bats and large flying foxes are potential hosts of Nipah virus and are also sold in large quantities in 10/14 markets. This study highlights the need for better surveillance and sanitary conditions to avoid the negative health impacts of unregulated wildlife markets.

In response to the COVID-19 pandemic, mobile-phone data on population movement became publicly available, including Google Community Mobility Reports (CMR). This study explored the utilization of mobility data to predict COVID-19 dynamics in Jakarta, Indonesia. We acquired aggregated and anonymized mobility data sets from 15 February to 31 December 2020. Three statistical models were explored: Poisson Regression Generalized Linear Model (GLM), Negative Binomial Regression GLM, and Multiple Linear Regression (MLR). Due to multicollinearity, three categories were reduced into one single index using Principal Component Analysis (PCA). Multiple Linear Regression with variable adjustments using PCA was the best-fit model, explaining 52% of COVID-19 cases in Jakarta (R-Square: 0.52; p < 0.05). This study found that different types of mobility were significant predictors for COVID-19 cases and have different levels of impact on COVID-19 dynamics in Jakarta, with the highest observed in “grocery and pharmacy” (4.12%). This study demonstrates the practicality of using CMR data to help policymakers in decision making and policy formulation, especially when there are limited data available, and can be used to improve health system readiness by anticipating case surge, such as in the places with a high potential for transmission risk and during seasonal events.

Understanding the effect of anthropogenic disturbance, and its interaction with carnivores and their prey, is crucial to support the conservation of threatened carnivores, particularly in rapidly changing landscapes. Based on systematic camera-trap sampling of four protected areas in Riau Province of central Sumatra, we assessed the habitat occupancy and spatiotemporal overlap between people, potential carnivore prey, and four threatened species of medium-sized or large carnivores: Sumatran tigers (Panthera tigris sumatrae), Malayan sun bears (Helarctos malayanus), dholes (Cuon alpinus), and Sunda clouded leopards (Neofelis diardi). To assess spatial overlap of target species, we used single-species occupancy models and applied a Species Interaction Factor (SIF) to conditional two-species occupancy models. We also used kernel density estimation (KDE) to assess temporal overlap among these species. Our habitat use models showed that altitude (elevation) strongly influenced the occupancy of all large carnivores and potential prey species. Except for Sunda clouded leopards, the occurrence of large carnivore species was positively related to the spatial co-occurrence of humans (SIF > 1). In addition, we found that sun bears and dholes both exhibited high spatial overlap with tigers, and that sun bears alone exhibited high temporal overlap with people. Our findings contribute to an improved understanding of the contemporary ecology of carnivores and their prey in rapidly changing, southeast Asian landscapes. Such knowledge is important to the conservation and recovery of large carnivores in conservation hotspots that are increasingly dominated by humans across Sumatra, as well as globally., Competing Interests: The authors have declared that no competing interests exist.

Deforestation in the tropics is mainly driven by the need to expand agriculture and forestry land. Tropical cropland has also undergone a process of intensification, particularly evident in regions that are the main exporters of deforestation-driven commodities. Around 25 million people in the world depend on coffee production, which has a profound contribution to global biodiversity loss through agricultural extensification and intensification. Nevertheless, coffee agroforestry systems have been postulated to serve as an alternative refuge for biodiversity across different regions. We aim to compare bird abundance, diversity, and richness in commercial polyculture coffee systems (i.e., the highest degree of habitat complexity that can be achieved in coffee fields after deforestation) with other coffee agroforestry systems and human modified habitats in Java, Indonesia. We collected data in 21 sites (1228 points) on Java from February to August 2021 using the point sampling method. Via generalised additive models, we tested whether the abundance, diversity, and richness of birds were different between different human modified habitats including other potential predictors such as elevation, distance to protected areas, shade tree richness, and plant diversity. Using the non-metric multidimensional scaling, we tested whether there was a difference in terms of the composition of foraging guilds between habitats. Commercial polyculture coffee fields can sustain levels of bird abundance, diversity, and richness comparable to agroforestry systems under natural forest, and higher than sun coffee and shaded monoculture coffee, and of other human modified habitats such as crop/fruit fields and tree farms. Coffee agroforestry systems have a higher proportion of nectarivores, insectivores, and frugivores than other systems that can sustain high diversity and richness of birds such as paddy fields that mainly have granivores and carnivores. Complex polycultures can represent an avenue for the future of sustainable agriculture in conditions where deforestation rates are high and in crops such as coffee, which maintain high yield in the presence of diverse shade.

As the COVID-19 pandemic continues to affect societies across the world, the ongoing economic and social disruptions are likely to present fundamental challenges for current and future biodiversity conservation.We review the literature for outcomes of past major societal, political, economic and zoonotic perturbations on biodiversity conservation, and demonstrate the complex implications of perturbation events upon conservation efforts. Building on the review findings, we use six in-depth case studies and the emerging literature to identify positive and negative outcomes of the COVID-19 pandemic, known and anticipated, for biodiversity conservation efforts around the world.A number of similarities exist between the current pandemic and past perturbations, with experiences highlighting that the pandemic-induced declines in conservation revenue and capacity, livelihood and trade disruptions are likely to have long-lasting and negative implications for biodiversity and conservation efforts.Yet, the COVID-19 pandemic also brought about a global pause in human movement that is unique in recent history, and may yet foster long-lasting behavioural and societal changes, presenting opportunities to strengthen and advance conservation efforts in the wake of the pandemic. Enhanced collaborations and partnerships at the local level, cross-sectoral engagement, local investment and leadership will all enhance the resilience of conservation efforts in the face of future perturbations. Other actions aimed at enhancing resilience will require fundamental institutional change and extensive government and public engagement and support if they are to be realised.The pandemic has highlighted the inherent vulnerabilities in the social and economic models upon which many conservation efforts are based. In so doing, it presents an opportunity to reconsider the status quo for conservation, and promotes behaviours and actions that are resilient to future perturbation. A free Plain Language Summary can be found within the Supporting Information of this article., Competing Interests: The authors declare no competing interests., (© 2021 The Authors. People and Nature published by John Wiley & Sons Ltd on behalf of British Ecological Society.)

The wildlife trade has facilitated the introduction of invasive non-native species, which may compete with native species for resources and alter ecosystems. Some of these species have great potential to become invasive if released or escaped from captivity. Here we studied the pet trade in a group of open countryside birds, the mynas ( Acridotheres spp.) in Indonesia, and identified the areas that are at high risk of facing the establishment of these species. Mynas are among the most invasive birds in Southeast Asia. Once established in a new area, they are almost impossible to eradicate and can have strong negative impacts on the ecosystem. Preventing their introduction is therefore essential. Yet, invasive non-native mynas continue to be traded openly. We present data on the trade in seven species of mynas on Java, Bali and Lombok, with three species being native to parts of one or two of these islands, but not to the remainder, and four that are non-native to the region. From 2016 to 2021 we conducted 255 surveys of 30 animal markets. We recorded over 6000 mynas that were offered for sale outside their native range. Areas most at risk because of their high prevalence in specific animal markets, are Greater Jakarta, eastern Java, Bali and Lombok. The number of invasive non-native mynas recorded was positively related to the size of the animal market. Indonesia is signatory to several international agreements (CBD, ASEAN) that have policies and guidelines to prevent the introduction of invasive non-native species, but compliancy is weak. Annually hundreds and possibly thousands of invasive non-native mynas are released by Indonesian conservation authorities in regions that are outside their native range. Effective management of, and regulation of trade in, potential invasive non-native birds in Indonesia falls short and inadvertently greatly aids both their introduction and establishment.

Immature mammals require opportunities to develop skills that will affect their competitive abilities and reproductive success as adults. One way these benefits may be achieved is through play behavior. While skills in developing use of tusks, antlers, and other weapons mammals have been linked to play, play in venomous animals has rarely been studied. Javan slow lorises ( Nycticebus javanicus ) use venom to aid in intraspecific competition, yet whether individuals use any behavioral mechanisms to develop the ability to use venom remains unclear. From April 2012 to December 2020, we recorded 663 play events and studied the factors influencing the frequency of play and the postures used during play in wild Javan slow lorises. Regardless of the presence of siblings, two thirds of play partners of young slow lorises were older and more experienced adults. Young lorises engaged in riskier behaviors during play, including using more strenuous postures and playing more in riskier conditions with increased rain and moonlight. We found that play patterns in immature lorises bear resemblance to venom postures used by adults. We suggest that play functions to train immature lorises to deal with future unexpected events, such as random attacks, as seen in other mammalian taxa with weapons. Given the importance of venom use for highly territorial slow lorises throughout their adult lives and the similarities between venom and play postures, we cannot rule out the possibility that play also prepares animals for future venomous fights. We provide here a baseline for the further exploration of the development of this unique behavior in one of the few venomous mammals.

The COVID-19 pandemic has caused global disruption, with the emergence of this and other pandemics having been linked to habitat encroachment and/or wildlife exploitation. High impacts of COVID-19 are apparent in some countries with large tropical peatland areas, some of which are relatively poorly resourced to tackle disease pandemics. Despite this, no previous investigation has considered tropical peatlands in the context of emerging infectious diseases (EIDs). Here, we review: (i) the potential for future EIDs arising from tropical peatlands; (ii) potential threats to tropical peatland conservation and local communities from COVID-19; and (iii) potential steps to help mitigate these risks. We find that high biodiversity in tropical peat-swamp forests, including presence of many potential vertebrate and invertebrate vectors, combined, in places, with high levels of habitat disruption and wildlife harvesting represent suitable conditions for potential zoonotic EID (re-)emergence. Although impossible to predict precisely, we identify numerous potential threats to tropical peatland conservation and local communities from the COVID-19 pandemic. This includes impacts on public health, with the potential for haze pollution from peatland fires to increase COVID-19 susceptibility a noted concern; and on local economies, livelihoods and food security, where impacts will likely be greater in remote communities with limited/no medical facilities that depend heavily on external trade. Research, training, education, conservation and restoration activities are also being affected, particularly those involving physical groupings and international travel, some of which may result in increased habitat encroachment, wildlife harvesting or fire, and may therefore precipitate longer-term negative impacts, including those relating to disease pandemics. We conclude that sustainable management of tropical peatlands and their wildlife is important for mitigating impacts of the COVID-19 pandemic, and reducing the potential for future zoonotic EID emergence and severity, thus strengthening arguments for their conservation and restoration. To support this, we list seven specific recommendations relating to sustainable management of tropical peatlands in the context of COVID-19/disease pandemics, plus mitigating the current impacts of COVID-19 and reducing potential future zoonotic EID risk in these localities. Our discussion and many of the issues raised should also be relevant for non-tropical peatland areas and in relation to other (pandemic-related) sudden socio-economic shocks that may occur in future., Competing Interests: Mark E. Harrison and Susan M. Cheyne are Directors of, and Sara Thornton is a researcher, with Borneo Nature Foundation International; Susan Page is a Trustee. Susan M. Cheyne is also Vice Chair of the IUCN SSC PSG Section on Small Apes. Lahiru S. Wijedasa is employed by ConservationLinks Pvt. Ltd. Dianna Kopansky and Johannes Refisch are employed by, and Julie Van Offelen is an independent consultant for, the United Nations Environment Programme., (© 2020 Harrison et al.)

Among primates, the suborder Haplorhini is considered to have evolved a consolidated monophasic sleep pattern, with diurnal species requiring a shorter sleep duration than nocturnal species. Only a few primate species have been systematically studied in their natural habitat where environmental variables, including temperature and light, have a major influence on sleep and activity patterns. Here we report the first sleep study on a nocturnal primate performed in the wild. We fitted seven wild Javan slow lorises (Nycticebus javanicus) in West Java, Indonesia with accelerometers that collected activity data, and installed climate loggers in each individual's home range to collect ambient temperature readings (over 321 days in total). All individuals showed a strictly nocturnal pattern of activity and displayed a striking synchronisation of onset and cessation of activity in relation to sunset and sunrise. The longest consolidated rest episodes were typically clustered near the beginning and towards the end of the light period, and this pattern was inversely related to daily fluctuations of the ambient temperature. The striking relationship between daily activity patterns, light levels and temperature suggests a major role of the environment in shaping the daily architecture of waking and sleep. We concluded that well-known phenotypic variability in daily sleep amount and architecture across species may represent an adaptation to changes in the environment. Our data suggest that the consolidated monophasic sleep patterns shaped by environmental pressures observed in slow lorises represent phylogenetic inertia in the evolution of sleep patterns in humans.

Worldwide, roads are a main driver of deforestation and degradation as they increase forest access along the forest edge. In many tropical areas, unofficial roads go unreported and unrecorded, resulting in inaccurate estimates of intact forested areas. This is the case in central Sumatra, which boasts populations of critically endangered Sumatran elephants (Elephas maximus sumatrensis), tigers (Panthera tigris sumatrae) and other endemic flora and fauna that make the area globally unique. However, maps do not reflect the reality of forest loss in the area. Here we present new maps from 2002 and 2016 of digitized and ground-truthed roads in one of Sumatra's unique lowland tropical protected areas, Tesso Nilo National Park. Using our newly created roads dataset, we examine the distribution of forest with respect to distance to roads. Our data show >2,400 km of roads within the national park in 2016 -nearly a 10-fold increase from roads known in 2002. Most forest (82-99%) within Tesso Nilo falls within 100 m, 500 m, and 1000 m of road edges. Length of road increased 157% and road density increased from 1.06 km/km2 to 2.63 km/km2 from 2002-2016. Our results suggest that this endemic ecosystem is facing substantial threat from roads and their associated impacts. Without swift management action, such as road closures and increased enforcements by park management, this ecosystem, and its endemic wildlife, could be lost. It is imperative that protected areas worldwide more rigorously consider roads and road effects on ecosystem fragmentation in their conservation plans., Competing Interests: The authors have declared that no competing interests exist.

The function of colouration in animals includes concealment, communication and signaling, such as the use of aposematism as a warning signal. Aposematism is unusual in mammals, and exceptions help us to understand its ecology and evolution. The Javan slow loris is a highly territorial venomous mammal that has a distinctive facial mask and monochromatic vision. To help understand if they use aposematism to advertise their venom to conspecifics or predators with different visual systems, we studied a population in Java, Indonesia. Using ImageJ, we selected colours from the facial masks of 58 individuals, converted RBG colours into monochromatic, dichromatic and trichromatic modes, and created a contrast index . During 290 captures, we recorded venom secretion and aggressiveness. Using Non-metric Multidimensional Scaling and generalised additive models for location, scale and shape, we found that young slow lorises differ significantly from adults, being both more contrasting and more aggressive, with aggressive animals showing fewer wounds. We suggest aposematic facial masks serve multiple purposes in slow lorises based on age. Change in colouration through development may play a role in intraspecific competition, and advertise toxicity or aggressiveness to competitors and/or predators in juveniles. Aposematic signals combined with intraspecific competition may provide clues to new venomous taxa among mammals., Competing Interests: There are no conflicts of interest to declare.

Background: Dispersal is a key process in the response of insect populations to rapidly changing environmental conditions. Variability among individuals, regarding the timing of dispersal initiation and travelled distance from source, is assumed to contribute to increased population success through risk spreading. However, experiments are often limited in studying complex dispersal interactions over space and time. By applying a local-scaled individual-based simulation model we studied dispersal and emerging infestation patterns in a host - bark beetle system (Picea abies - Ips typgraphus). More specifically, we (i) investigated the effect of individual variability in beetle physiology (flight capacity) and environmental heterogeneity (host susceptibility level) on population-level dispersal success, and (ii) elucidated patterns of spatial and/or temporal variability in individual dispersal success, host selectivity, and the resulting beetle density within colonized hosts in differently susceptible environments., Results: Individual variability in flight capacity of bark beetles causes predominantly positive effects on population-level dispersal success, yet these effects are strongly environment-dependent: Variability is most beneficial in purely resistant habitats, while positive effects are less pronounced in purely susceptible habitats, and largely absent in habitats where host susceptibility is spatially scattered. Despite success rates being highest in purely susceptible habitats, scattered host susceptibility appeared most suitable for dispersing bark beetle populations as it ensures population spread without drastically reducing success rates. At the individual level, dispersal success generally decreases with distance to source and is lowest in early flight cohorts, while host selectivity increased and colonization density decreased with increasing distance across all environments., Conclusions: Our modelling approach is demonstrated to be a powerful tool for studying movement ecology in bark beetles. Dispersal variability largely contributes to risk spreading among individuals, and facilitates the response of populations to changing environmental conditions. Higher mortality risk suffered by a small part of the dispersing population (long-distance dispersers, pioneers) is likely paid off by reduced deferred costs resulting in fitness benefits for subsequent generations. Both, dispersal variability in space and time, and environmental heterogeneity are characterized as key features which require particular emphasis when investigating dispersal and infestation patterns in tree-killing bark beetles.

The importance of preserving both protected areas and their surrounding landscapes as one of the major conservation strategies for tigers has received attention over recent decades. However, the mechanism of how land-use surrounding protected areas affects the dynamics of tiger populations is poorly understood. We developed Panthera Population Persistence (PPP)--an individual-based model--to investigate the potential mechanism of the Sumatran tiger population dynamics in a protected area and under different land-use scenarios surrounding the reserve. We tested three main landscape compositions (single, combined and real land-uses of Tesso-Nilo National Park and its surrounding area) on the probability of and time to extinction of the Sumatran tiger over 20 years in Central Sumatra. The model successfully explains the mechanisms behind the population response of tigers under different habitat landscape compositions. Feeding and mating behaviours of tigers are key factors, which determined population persistence in a heterogeneous landscape. All single land-use scenarios resulted in tiger extinction but had a different probability of extinction within 20 years. If tropical forest was combined with other land-use types, the probability of extinction was smaller. The presence of agroforesty and logging concessions adjacent to protected areas encouraged the survival of tiger populations. However, with the real land-use scenario of Tesso-Nilo National Park, tigers could not survive for more than 10 years. Promoting the practice of agroforestry systems surrounding the park is probably the most reasonable way to steer land-use surrounding the Tesso-Nilo National Park to support tiger conservation.