Scientific Journals of Bogor Agricultural University
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Effect of Banana Peel and Tomato Compost on the Growth of Oil Palm Seeds (Elaeis guineensis Jacq.) Prenursery Stage
Continuous use of inorganic fertilizers that do not follow Good Agricultural Practices causes soil damage. Organic fertilizers are complementary fertilizers that can maintain soil moisture and fertility, increase the soil water-holding capacity, and increase the amount of water available to plants. The purpose of this study was to determine the effect of compost prepared from banana peel and rotten tomato (10:3) and different watering intervals on the growth of oil palm seedlings at the pre-nursery stage. The experiment was conducted from February 2022 to August 2022 in Kedokan Agung Village, Kedokan Bunder District, and Indramayu Regency. The experiment used a Randomized Block Design consisting of nine treatments and three replicates, with each treatment consisting of two plants. The combination of treatments used compost with intervals of watering the oil palm seedlings. The results showed that the application of 1 kg/plant compost with daily watering resulted in the best growth and significantly affected plant height, trunk circumference, number of leaves, and leaf area. This treatment produced a growth response that was as good as that of plants given inorganic fertilizers.
Keywords: compost, organic fertilizer, prenursery, watering interva
Circular Economic Analysis of Black Soldier Fly Maggot Cultivation as Local Chicken Feed
Waste management is still a significant challenge in Indonesia; organic waste is the most abundant type of waste on a national scale. A potential solution to this problem is to utilize black soldier fly (BSF) larvae as a bioconversion agent for organic waste. The purpose of this study is to determine how much organic waste is absorbed by BSF maggots, to determine the financial feasibility of BSF maggots as local chicken feed, and to analyze the efficiency value of BSF maggot cultivation in a circular economic system. The study utilized four distinct growing media: P0 = 100% kitchen organic waste (KOW); P1 = 100% cow dung; P2 = 50% KOW, 50% cow dung; and P3 = 50% KOW, 50% dairy waste. The analysis used in this study is descriptive-quantitative, and economic analysis is carried out by comparing the processes of drying, grinding, and mixing local chicken feed. The total amount of decomposable organic waste is 237 kg. Media grows P3, which is the most profitable for BSF maggot cultivation. Maggot meal production is worth developing based on the payback period and R/C. P1 can help the composting process, and production costs are efficient. The processing of maggot flour into local chicken feed is a lucrative venture, as evidenced by the potential profits it generates. This research underscores the significance of implementing a circular economy with BSF maggots in decomposing organic waste and its utilization as an ingredient in chicken feed.
Keywords: BSF larvae, circular economy, organic wast
Predictive Modeling of Wildlife Trade Using the k-Nearest Neighbor Algorithm
Perdagangan satwa liar dengan pengawasan yang tidak optimal dapat merupakan salah satu ancaman yang mampu memberikan dampak signifikan bagi keberlangsungan keanekaragaman hayati. Beberapa spesies hewan seperti mamalia dan reptil saat ini terancam punah dengan adanya perdagangan satwa liar yang tidak terpantau dengan baik. Praktik perdagangan satwa liar kerap ditemukan di berbagai media, termasuk situs internet, karena kemudahan akses yang ditawarkan kepada masyarakat luas. Namun jika data tersebut diolah secara manual maka dibutuhkan waktu, tenaga, dan upaya yang cukup besar. Oleh sebab itu, dibutuhkan sebuah pendekatan berbasis kecerdasan buatan untuk mengidentifikasi wilayah dengan aktivitas perdangan satwa liar yang tinggi dan berpotensi melampai batas perdagangan satwa liar yang diizinkan. Penelitian ini bertujuan untuk membangun sebuah model yang dapat melakukan prediksi area yang rawan perdagangan satwa liar. Algoritma yang digunakan dalam penelitian ini adalah algoritma clustering K-Means untuk mengelompokkan wilayah berdasarkan tingkat kerawanan aktivitas perdagangan satwa liar, serta algoritma k-Nearest Neighbor untuk melakukan prediksi tingkat kerawanan wilayah perdagangan satwa liar. Selain itu, metode Market Basket Analysis digunakan untuk mengidentifikasi pola asosiasi dalam perdagangan satwa liar antar negara. Data yang digunakan merupakan data perdagangan satwa liar dari berbagai negara pada tahun 2018 hingga 2020. Dengan menggunakan pendekatan clustering, dalam penelitian ini diklasifikasikan tiga wilayah dengan potensi kerawanan perdagangan satwa liar, yaitu wilayah dengan resiko rendah, sedang, dan tinggi. Hasil penelitian menunjukkan bahwa model prediksi yang dibangun mampu memprediksi wilayah rawan perdagangan satwa liar dengan tingkat akurasi model training sebesar 99% dengan data impor dan 100% dengan data ekspor. Setelah dievaluasi dengan 3-cross fold validation, akurasi model yang diperoleh adalah sebesar 97% untuk data impor dan 98% untuk data ekspor. Hasil akurasi model testing dalam penelitian ini adalah sebesar 100% dengan data impor maupun ekspor. Melalui pendekatan metode market basket analysis, penelitian ini menyimpulkan dengan data yang dipertimbangkan belum ditemukan pola asosiasi yang kuat dalam aktivitas perdagangan satwa liar antara satu negara spesifik dengan negara lainnya.Wildlife trade conducted under suboptimal supervision can pose a significant threat to the long-term sustainability of biodiversity. Several animal species, including mammals and reptiles, are now facing extinction due to the lack of proper monitoring of wildlife trade. Wildlife trade practices are frequently found across various media platforms, including websites, due to the ease of access they offer to the public. However, if the data is processed manually, it requires considerable time, effort, and resources. To address this issue, an artificial intelligence-based approach is needed to help process wildlife trade data so that areas vulnerable to wildlife trafficking can be predicted quickly and accurately. Therefore, an artificial intelligence-based approach is needed to identify regions with high wildlife trade activity that are at risk of exceeding the permitted trade limits. This study aims to develop a model capable of predicting regions at risk of wildlife trade. The algorithms used in this study are the K-Means clustering algorithm to classify regions based on the risk level of wildlife trade areas, and the k-Nearest Neighbor algorithm to predict the risk level of wildlife trade areas. In addition, the Market Basket Analysis method is used to identify association patterns in wildlife trade between countries. The data used consists of wildlife trade data from various countries from 2018 to 2020. Using the clustering approach, this study classifies three levels of risk for wildlife trafficking: low, medium, and high. The results of the study show that the predictive model developed is capable of identifying areas vulnerable to wildlife trade, achieving a training accuracy of 99% with import data and 100% with export data. After being evaluated using 3-fold cross-validation, the model achieved an accuracy of 97% for import data and 98% for export data. The testing accuracy obtained in this study was 100% for both import and export data. Through the market basket analysis approach, this study concludes that, based on the data considered, no strong association patterns have been found in wildlife trade activities between specific countries
Analisis Nilai Tambah dan Business Model Canvas Agroindustri Cocofiber
Agroindustri CV. Sumber Sari merupakan agroindustri di Kabupaten Jember yang konsisten dari tahun 2000 mengolah sabut kelapa menjadi cocofiber. Banyaknya limbah kelapa yang ada di Kabupaten Jember dapat meningkatkan potensi CV. Sumber Sari untuk mengolah limbah sabut kelapa menjadi produk yang bernilai. Permasalahan pada CV. Sumber Sari antara lain adalah tenaga kerja tidak tetap, teknologi terbatas, cuaca dan belum adanya kontrak kemitraan dalam jangka panjang. Metode Hayami digunakan untuk mengukur besarnya nilai tambah yang dihasilkan dari pengolahan sabut kelapa menjadi cocofiber. Business Model Canvas (BMC) digunakan untuk mengetahui 9 elemen kunci yang dapat mempermudah pebisnis dalam mendeteksi kondisi perusahaan serta untuk mengetahui keunggulan bersaing perusahaan. Hasil analisis pendekatan Business Model Canvas (BMC) pada agroindustri CV. Sumber Sari adalah harus memperbaiki beberapa blok dari BMC, diantaranya adalah (a) key partnerships, dengan menambah kemitraan (b) Key Resources, yaitu menggunakan teknologi produksi untuk pengeringan cocofiber dan membuat SOP untuk tenaga kerja.Agroindustry CV. Sumber Sari is an agro-industry in Jember Regency which has consistently processed coconut fiber into coconut fiber since 2000 cocofiber. The large amount of coconut waste in Jember Regency can increase the potential of CV. Sumber Sari to process coconut fiber waste into valuable products. Problems with CV. Sari\u27s sources include temporary labor, limited technology, weather and the absence of a long-term partnership contract. The purpose of this study is to find out the added value of and to find out the picture of the business idea in the Sumber Sari company. The Hayami method is used to measure the amount of added value resulting from processing coconut fiber into cocofiber. Business Model Canvas (BMC) is used to determine 9 key elements that can make it easier for business people to detect the condition of the company and to determine the company\u27s competitive advantage. Results of approach analysis Business Model Canvas (BMC) in the CV agro-industry. Sumber Sari must repair several blocks of BMC, including (a) key partnerships, by adding partnerships (b) Key Resources, namely using production technology for drying cocofiber and create SOPs for workers
Struktur Pasar dan Daya Saing Ekspor Nanas Olahan Indonesia ke Pasar Jepang
Jepang merupakan negara tujuan ekspor nanas olahan dengan potensi besar. Hal ini terlihat dari tingginya permintaan terhadap komoditas tropis tersebut di pasar Jepang. Meskipun perjanjian Indonesia-Japan Economic Partnership Agreement (IJEPA) seharusnya membuka peluang lebih besar bagi ekspor nanas olahan, Indonesia belum memanfaatkannya secara optimal. Hal ini tercermin dari tren ekspor nanas olahan Indonesia yang fluktuatif dan cenderung mengalami penurunan dalam beberapa tahun terakhir. Selain itu, dominasi negara lain seperti Filipina dan Thailand menyebabkan Indonesia hanya berperan sebagai pengikut pasar. Penelitian ini bertujuan untuk mengidentifikasikan struktur pasar dan menganalisis daya saing ekspor nanas olahan Indonesia di pasar Jepang dibandingkan dengan Filipina, Thailand, dan Malaysia. Analisis struktur pasar dilakukan dengan menggunakan Concentration Ratio (CR4) dan Herfindahl-Hirschman Index (HHI). Sementara itu, daya saing dianalisis dengan Revealed Comparative Advantage (RCA), Export Product Dynamic (EPD), dan Indeks Spesialisasi Perdagangan (ISP). Hasil penelitian menunjukkan bahwa struktur pasar nanas olahan di Jepang bersifat oligopoli dengan konsentrasi yang tinggi. Nanas olahan Indonesia memiliki keunggulan komparatif di pasar Jepang dengan nilai rata-rata RCA sebesar 6,43. Di sisi lain, terdapat keunggulan kompetitif yang dimiliki nanas olahan Indonesia, tetapi kurang dinamis ditunjukkan dalam kategori Falling Star. Selain itu, hasil analisis ISP menunjukkan bahwa Indonesia merupakan negara pengekspor nanas olahan di pasar internasional.Japan is an export destination for processed pineapple with great potential. This can be seen from the high demand for this tropical commodity in the Japanese market. Although the Indonesia-Japan Economic Partnership Agreement (IJEPA) should open up greater opportunities for processed pineapple exports, Indonesia has not optimally utilized it. This is reflected in the fluctuating trend of Indonesia\u27s processed pineapple exports, which have tended to decline in recent years. In addition, the dominance of other countries such as the Philippines and Thailand has caused Indonesia to only act as a market follower. This study aims to identify the market structure and analyze the competitiveness of Indonesian processed pineapple exports in the Japanese market compared to the Philippines, Thailand, and Malaysia. Market structure analysis was conducted using Concentration Ratio (CR4) and Herfindahl-Hirschman Index (HHI). Meanwhile, competitiveness was analyzed by Revealed Comparative Advantage (RCA), Export Product Dynamic (EPD), and Index of Trade Specialization (ISP). The results showed that the market structure of processed pineapple in Japan is oligopolistic with high concentration. Indonesian processed pineapple has a comparative advantage in the Japanese market with an average RCA value of 6.43. On the other hand, there is a competitive advantage possessed by Indonesian processed pineapple, but less dynamic shown in the Falling Star category. In addition, the results of the ISP analysis show that Indonesia is a processed pineapple exporting country in the international market
The Impact of Personal And Environmental Factors Through Experience Characteristics on Entrepreneurial Performance in Indonesian Start-Ups
Background: Entrepreneurial performance is essential for start-ups\u27 development, particularly the ability to transition smoothly from experimentation to scaling. Start-ups\u27 performance in Indonesia remains challenging in that the failure rate is up to 90% within the first five years.Purpose: This study aims to assess the direct influence of personal and environmental factors through experience characteristics on entrepreneurial performance in start-ups in Indonesia and the indirect influence of these factors through experience characteristics on entrepreneurial performance.Design/methodology/approach: This study employed a quantitative approach, applying Partial Least Squares Structural Equation Modelling to analyze data collected from questionnaires distributed to 268 start-ups in Indonesia.Finding/Results: The results indicated that personal and environmental factors significantly enhance experience characteristics and entrepreneurial performance. This study also found that personal and environmental factors through experience characteristics significantly enhance entrepreneurial performance in Indonesian start-ups.Conclusion: This study evaluated how experience characteristics as a mediator strengthen the impact of personal factors on entrepreneurial performance and weaken the impact of environmental factors on entrepreneurial performance. This research possesses academic and managerial implications, particularly for advancing scientific progress in entrepreneurial performance models in start-ups in Indonesia.Originality/value (State of the art): Start-ups must enhance their entrepreneurial performance by focusing on personal factors, including entrepreneurial education and passion, as well as environmental factors like developing a more dynamic entrepreneurial ecosystem, improving marketing techniques, and aligning with global market demand.
Keywords: business, entrepreneurial ecosystem, entrepreneurial education, entrepreneurship environment, start-ups\u27 developmen
Strengthening Digital Literacy, Financial Management, and Special Skills to Face Human Resources Management Market Competition
Background: In a rapidly changing labor market, three factors are essential: ownership of digital literacy, financial management skills, and specialized knowledge in increasing competitiveness in HR Management. These three factors are relevant to technological developments and market needs, so it is also essential for companies to implement the right strategy to achieve high competitiveness. Purpose: This paper aims to analyze digital literacy, financial management, and special skills in the context of human resources management market competition and simultaneously analyze all independent variables with the dependent variable. Design/methodology/approach: This research design uses a quantitative approach. The study population consisted of 158 managers of financial institutions in Bekasi, with a sample size of 158 managers selected. The respondents were selected through the random sampling method. The data analysis technique uses multiple linear regression analysis. Findings/Result: The research results show that the variables Digital Literacy, Financial Management, and Special Skills have a positive and significant effect on Human Resources Management Market Competition. Moreover, all independent variables have a significant effect on Human Resources Management Market Competition by 54.4%, while the remainder is influenced by other variables. Conclusion: Digital literacy, financial management, and special skills collectively form a powerful arsenal for HR professionals seeking to excel in the market. Originality/value (State of the art): This study contributes to the limited empirical literature by quantitatively assessing the combined impact of digital literacy, financial management, and special skills on HR market competitiveness, offering practical insights for HR strategy development in the context of emerging market economies.
Keywords: digital literacy, financial management, special skills, human resources management, market competitio
Influence of Brand Awareness, Brand Ambassador, on Purchase Decision Supported By Trust As The Intervening Variable on Shopee Marketplace
Background: Nowadays, in the era of globalization, most Indonesian people are already aware of the changes in globalization. In further developments, the internet began to be used in all fields, including business. With the development of technology like this, more and more e-commerce and marketing companies and the number of internet users are increasing in Indonesia. This research is important due to inconsistencies in previous findings, which present both positive and negative results, so researchers try to take advantage of this gap to conduct further researchPurpose: The aim of this research is to determine the influence of Brand Awareness, Brand Ambassador, on Purchase Decision supported by Trust as the Intervening Variable on Shopee MarketplaceDesign/methodology/approach: This research determined 335 staff as the sample and implemented probability sampling processing simple random sampling methods applying Slovin Formula. The research is implementing AMOS 24 program as data analysis, and SEM AMOS approach in testing the hypothesisFindings/Result: The findings the brand awareness had a positive impact in partial towards purchase decisions. Brand ambassadors positively influence the trust, trust has an effect towards purchase decision, and brand awareness influence indirectly towards purchase decision which is mediated by trust in the Marketplace Shopee for staff of PT. XYZ IndonesiaConclusion: This study is to determine the effect of Brand Awareness, Brand Ambassador, on Purchase Decision with the support of Trust as an Intervening Variable on the Shopee Marketplace. The conclusion of the study is that Brand Awareness, Brand Ambassador have an effect on Purchase Decision with the support of Trust as an Intervening Variable on the Shopee MarketplaceOriginality/value (State of the art): This study makes a novel contribution by the integration of brand awareness, brand ambassadors and trust within the digital marketplace. While previous research literature revealed that brand awareness and brand ambassadors have an impact in the context of virtual marketplace but no attention was found on understanding the mediating role of trust in virtual purchasing decision
Keywords: brand awareness, brand ambassador, purchase decision, trust, SEM-AMO
Determinants of Interest and Intention To Donate Cash Waqf or Through Money on The Super App Berkahwakaf.Id
Background: Cash waqf and waqf through money is an unfamiliar concept in donation activities in Indonesia. Cash waqf possesses a sustainable nature, as the endowed assets are preserved and managed to generate ongoing benefits across generations. This sustainability is ensured by the obligation of the nazhir to safeguard the waqf assets from loss or damage, thereby maintaining their long-term impact. Purposes: This research aims to explore public interest and intention in cash waqf and analyze the factors influencing the community\u27s interest and intention toward cash waqf. Design/methodology/approach: The statistical method employed is descriptive analysis and structural equation modeling with partial least squares (SEM-PLS), using tool Smart PLS version 4 with 70 respondents. The respondent category in this study is muslim or Muslimah, has ever performed monetary waqf, and is at least 17 years old.Findings/Result: The analysis reveals that the respondent living or working in Jakarta prioritizes engaging in waqf through money, followed by cash waqf. Statistical test results indicate that performance expectancy, effort expectancy, social influence, facilitating conditions, hedonic motivation, price value, habit, and waqf literacy all have a positive and significant effect on behavioral intention. Conclusion: The results of the descriptive analysis show that respondents living or working in Jakarta are more interested in donating waqf through money compared to cash waqf. The waqf literacy index is 72.81% (moderate), the basic understanding of waqf is 47.83%, and the advanced understanding of waqf is 24.98%. The statistical test results indicate that performance expectations, effort expectations, social influence, facilitating conditions, hedonic motivation, price value, habits, and waqf literacy all have a positive and significant impact on behavioral intention.Originality/value (State of the art): The state of the art in this study is the use of the UTAUT2 variable, which has been cited more than 6,000 times on Google Scholar and has never been previously used to analyze the impact of technology adoption in cash waqf collection through Berkahwakaf.id.
Keywords: cash waqf, SEMPLS, super apps, UTAUT2, waqf literac
Edukasi Kampung Wakaf kepada Masyarakat Desa Mekarjaya, Kabupaten Sukabumi
The development of waqf practices implemented so far has become very diverse. However, many people still think that the practice of waqf is limited to the management of 3M (tombs, mosques, and madrasas). Mekarjaya Village has great waqf potential, but its utilization has not been optimally realized because of the limited knowledge of its community. The Kampung Wakaf educational program was organized with the participation of 60 participants, who were the guardians of students from Madrasah At-Tarbiyah, one of the village\u27s waqf assets, aimed at broadening the community\u27s understanding and awareness of the concept and innovative utilization of waqf. The educational activity was conducted in one day, consisting of a material presentation session by the speakers and a discussion and Q&A session before the event was concluded. The result obtained was an increase in the community\u27s knowledge regarding the basic concepts of waqf and its utilization, which was assessed through pre-tests and post-tests conducted at the beginning and end of the activity. Education is expected to support the development of village waqf utilization in a more comprehensive and innovative manner.The development of waqf practices implemented so far has become very diverse. However, many people still think that the practice of waqf is limited to the management of 3M (tombs, mosques, and madrasas). Mekarjaya Village has great waqf potential, but its utilization has not been optimally realized because of the limited knowledge of its community. The Kampung Wakaf educational program was organized with the participation of 60 participants, who were the guardians of students from Madrasah At-Tarbiyah, one of the village\u27s waqf assets, aimed at broadening the community\u27s understanding and awareness of the concept and innovative utilization of waqf. The educational activity was conducted in one day, consisting of a material presentation session by the speakers and a discussion and Q&A session before the event was concluded. The result obtained was an increase in the community\u27s knowledge regarding the basic concepts of waqf and its utilization, which was assessed through pre-tests and post-tests conducted at the beginning and end of the activity. Education is expected to support the development of village waqf utilization in a more comprehensive and innovative manner