Scientific Journals of Bogor Agricultural University
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Quality and Antioxidant Activity of Arrowroot (Maranta arundinaceae L.) Tuber Accessions Collected from Java Island
Full text linkArrowroot (Maranta arundinaceae L.) is a starch–producing plant that can potentially be used as an alternative substitute for wheat flour. Additionally, arrowroot can serve as a functional food, as it is not only a source of nutrition but also provides health benefits such as improving digestion and regulating blood sugar levels. Arrowroot tubers contain high levels of carbohydrates and bioactive phenolic compounds that function as antioxidants. Currently, no data is available on the nutritional content and antioxidant activity (DPPH assay) of arrowroot tubers from various regions of Java Island. This study aimed to analyze the quality and antioxidant activity of arrowroot tubers obtained from several locations in Java. The results of the proximate analysis (moisture and ash contents) showed that the lowest moisture content was in the Banjar 1 accession (3.44%), while the highest was in the Sragen 3 accession (12.47%). The Banjar 2 accession had the highest ash content (8.94%), while the Sragen1 accession had the lowest (3.98%). The antioxidant activity was indicated by the IC50 value, which is the concentration of the sample solution required to inhibit 50% of DPPH free radicals. Antioxidant activity analysis revealed that the Malang 1 accession had the lowest IC50 value of 163.16 ppm, indicating the highest antioxidant potential.
Keywords: 1,1–diphenyl–2–picrylhydrazyl, antioxidant, arrowroot, phenol, phytochemical
IN SILICO STUDY OF ACTIVE COMPOUNDS IN Halosi (Bidens pilosa) AS ANDROGEN INHIBITORS IN PROSTATE CANCER
No full textProstate cancer is a disease that affects men\u27s prostate gland cells and can spread to other parts of the body, mostly bones and lymph nodes. It is the third most common type of cancer in men in Indonesia and the second most common type of cancer in men worldwide. Ini adalah studi in silico tentang aktivitas chemical compounds in the leaves of the halosi plant (Bidens pilosa) to inhibit the Androgen receptor (1E3G) in the treatment of prostate cancer. Androgen receptor (AR) is a receptor protein that plays an important role in the development of prostate cancer cells. Molecular docking method using Chemdraw 3D, AutoDockTools 1.5.6., BIOVIA Discovery Studio 2021, and Ligandscout were used to conduct tests. Hasil menunjukkan bahwa bahan Bidens pilosa memiliki rendahnya ∆G free bond energy sebesar -10.26 KKal/mol and interaction with with several amino acid residues similar to Oxymetholone, a natural ligand. Therefore, it can be concluded that andrographolid compounds from halosi plant are the most able to inhibit Andorgen receptor
Peran Perempuan pada Usahatani Jagung di Kabupaten Tanah Laut
Full text linkThe Sustainable Development Goals (SDGs) launched by the United Nations (UN) pay special attention to gender issues in sustainable development, in SDG number 5 (five), namely gender equality. Therefore, the implementation of gender roles in sustainable development in Indonesia, especially in agribusiness development, is expected to reduce the level of gender inequality and empower all women. However, it was found that in some areas, women are limited in farming activities. Women are only involved in activities that require minimal resources, while their access to these resources and opportunities to participate in decision-making remain limited. This study aims to analyse the role of women in maize farming in Tanah Laut District in terms of three main aspects: role and participation, access to resources, and power in decision-making. The data used were primary and secondary data. Data analysis used descriptive qualitative and quantitative analyses using the Gender Dimensions Framework (GDF) approach. Quantitative analysis was conducted to test the significance of gender roles in maize farming using the independent T-test and Mann-Whitney test. The results show that women farmers can participate in all maize productive activities. The level of women\u27s participation tends to be high in the activities of seeding, planting and harvesting. Women do not dominate any of the resources in the access and control profiles. However, based on farm management, in general, female farmers are not much different in terms of average planting area, number of harvests, productivity and price received compared to male farmers. Women and men have equal power in decision-making.Sustainable Development Goals (SDGs) yang dicanangkan oleh Perserikatan Bangsa-Bangsa (PBB) menaruh perhatian khusus pada isu gender dalam pembangunan berkelanjutan, pada SDGs nomor 5 (lima) yakni kesetaraan gender (gender equality). Oleh karena itu implementasi peran gender pada pembangunan berkelanjutan di Indonesia khususnya dalam pembangunan agribisnis diharapkan dapat menurunkan tingkat kesenjangan gender dan memberdayakan semua perempuan. Namun ditemukan bahwa di beberapa wilayah, perempuan terbatasi dalam aktivitas usahatani. Subsistem agribisnis on-farm (pertanian) menjadi subsistem terbesar yang menyerap sebanyak 41,04 persen dari seluruh tenaga kerja perempuan di Kabupaten Tanah Laut. Penelitian ini bertujuan untuk menganalisis peran perempuan pada usahatani jagung di Kabupaten Tanah Laut ditinjau dari tiga aspek utama yaitu peran dan partisipasi, akses terhadap sumberdaya, serta power dalam pengambilan keputusan. Data yang digunakan adalah data primer dan data sekunder. Analisis data menggunakan analisis deskriptif kualitatif dan kuantitatif dengan menggunakan pendekatan Gender Dimensions Framework (GDF). Analisis kuantitatif dilakukan untuk menguji signifikansi peran gender di usahatani jagung dengan menggunakan metode uji independent T-test dan Mann-Whitney test. Hasil penelitian menunjukkan bahwa petani perempuan dapat berpartisipasi diseluruh kegiatan produktif jagung. Tingkat partisipasi perempuan cenderung tinggi pada aktivitas penugalan, penanaman serta pemanenan. Perempuan tidak mendominasi satupun sumber daya pada profil akses dan kontrol. Namun, berdasarkan pengelolaan usahatani, secara umum petani perempuan tidak jauh berbeda dalam hal rata-rata luas tanam, jumlah panen, produktivitas serta harga yang diterima dibandingkan dengan petani laki-laki. Perempuan dan laki-laki memiliki power yang setara dalam pengambilan keputusan
Pengaruh Marketing Mix 4P Terhadap Kinerja Pemasaran Agroindustri Gula Merah di Nagari Andaleh Baruh Bukit
Full text linkNagari Andaleh Baruh Bukit merupakan salah satu daerah penghasil gula aren terbesar di Kabupaten Tanah Datar, Sumatera Barat, terdapat 98 UMK pengolah gula aren, namun masih terkendala dalam pemasaran produk. Produk hanya dipasarkan ke pasar tradisional, lokal dan belum mengemas produk dengan logo usaha dan kemasaran yang modern. Tujuan penelitian ini adalah menganalisis pengaruh bauran pemasaran terhadap kinerja pemasaran pada agroindustri gula aren di Nagari Baruh Bukit. Metode penelitian deskriptif kuanitatif dan eksplanatori. Sampel peneltian 50 pengusaha Agroindustri Gula Aren dengan metode nonprobability sampling. Analisis data menggunakan model SEM-PLS. Hasil penelitian secara keseluruhan bauran pemasaran berpengaruh positif dan signifikan terhadap kinerja pemasaran pada agroindustri gula aren di Nagari Andaleh Baruh Bukik, Kecamatan Sungayang, Kabupaten Tanah Datar. variabel produk , promosi, dan tempat berpengaruh positif dan signifikan terhadap kinerja pemasaran. Sedangkan untuk variabel harga tidak berpengaruh signifikan terhadap kinerja pemasaran.Nagari Andaleh Baruh Bukit is one of the largest palm sugar-producing areas in Tanah Datar Regency, West Sumatra, with 98 small and medium enterprises (SMEs) in palm sugar processing. However, these businesses face challenges in product marketing. Currently, their products are only sold in traditional and local markets, and they lack modern branding, including proper packaging and business logos. This study aims to analyze the marketing mix\u27s impact on marketing performance in the palm sugar agroindustry in Nagari Baruh Bukit. This research employs a descriptive, quantitative and explanatory method. The sample consists of 50 palm sugar agroindustry entrepreneurs selected using a non-probability sampling method. Data analysis is conducted using the SEM-PLS model. The results of the study show that the product and place variables have a positive and significant effect on marketing performance, while the promotion and price variables do not have a significant effect on marketing performance in the palm sugar agroindustry in Nagari Andaleh Baruh Bukik, Sungayang Sub-district, Tanah Datar Regency. It is recommended that palm sugar agroindustry actors in Nagari Andaleh Baruh Bukik focus their marketing strategies on improving product quality and innovation, as well as strengthening distribution channels to ensure easier consumer access to the products
Understanding the Household Waste Management: An Application of the Theory of Planned Behavior
No full textDalam lima belas tahun terakhir, penelitian tentang sampah telah berkembang sangat pesat. Isunya tidak hanya membicarakan entitas sampahnya secara fisik, tetapi juga dikaitkan dengan isu perilaku manusia. Dalam kaitan itu, teori perilaku perencana banyak digunakan untuk menjelaskan fenomena dan gejala perilakunya. Karena itulah riset kami menginvestigasi dan berupaya memahami bagaimana perilaku rumah tangga dalam menangani sampah dengan menggunakan perspektif teori perilaku terencana. Memahami bagaimana perilaku rumah tangga dalam menangani sampah merupakan tahap paling krusial untuk merancang kebijakan efektif yang diperlukan, dan upaya meningkatkan kualitas kebijakan yang telah dibuat sebelumnya. Lokasi riset di Kota Tangerang Selatan, daerah munisipal di Provinsi Banten yang secara spasial berada di pinggiran Kota Jakarta. Data primer kami kumpulkan dengan instrumen kuesioner terstruktur berskala likert. Sampel rumah tangga kami tentukan secara purposive dengan kriteria tertentu seperti usia dan domisili. Teknik analisis menggunakan model persamaan struktural berbasis Smart PLS. Hasil analisis kami berimplikasi pada rancangan kebijakan untuk mendorong masyarakat agar terlibat dalam pengelolaan sampah rumah tangga dengan menyediakan fasilitas pengelolaan sampah spesifik berbasis komunitas.The study of waste research has advanced significantly in over fifteen years, exploring human behavior and the physical aspects of waste. The theory of planned behavior has been extensively utilized to explain the phenomena and symptoms related to behavior related to waste. Consequently, the objective of our study is to apply the theory of planned behavior to enhance our understanding of how households manage waste. This understanding is a critical stage in developing effective strategies and improving the level of quality of existing policy and program intervention. The study is conducted at Tangerang Selatan, a municipality region in Banten Province. Likert scale structured questionnaire instruments are employed for primary data collection, and household samples are chosen based on predetermined characteristics such as domicile and age purposively. A structural equation model based on Smart PLS is employed in the analysis. The results of our study have implications for the development of policies since they encourage the establishment of specialized waste management facilities as well as promote community involvement in residential waste management
Land Use Change and Future Prediction in Banggai Islands Regency, Central Sulawesi, Indonesia
Full text linkLand use and land cover (LULC) changes can influence policies in a region due to economic and social conditions caused by population growth. The objective of this study is to analyze and map LULC changes in 2002, 2012, and 2022 using the Random Forest approach on Google Earth Engine, and to predict land use in 2042 using Markov-CA, thereby supporting the provision of accurate and sustainable policy data related to LULC in Banggai Islands Regency. This method can provide accurate information about the spatial distribution of rational LULC, balancing development demands with sustainable environmental protection. The study\u27s results indicate that LULC has undergone significant changes from 2002 to 2022. There has been an increase in plantation land, open land, and settlements originating from forest and scrubland. Predictions of LULC changes in 2042 show an increase in plantations, settlements, and open land, while other land uses are declining. Effective land use policies require spatial planning that considers the potential andlimitations of land, as well as the space needs for residential, agricultural, and forest areas. This approach will facilitate the application of land conservation principles in sustainable, balanced agricultural and non-agricultural development in Banggai Islands Regency
Development Strategy for Pioneer Tourism Village, Oro-Oro Ombo, East Java
Full text linkThe Oro-oro Ombo Pioneer Tourism Village in Batu City, East Java, has significant potential for development as a tourist destination. This study provides clear recommendations for prioritizing alternatives in developing the tourism Village. The Analytic Hierarchy Process (AHP) method is used to identify the factors influencing the development of the tourism village and determine the priority development strategies. This research involves ten respondents representing the Penta helix group: Academics, Business, Community, Government, and Media. Based on the highest and lowest AHP weight values, the research results indicate that local community participation and tourist satisfaction are the key factors. Simultaneously, the results show that the waterfall destination is the main priority alternative (29.9%), followed by the Apple Garden (25.5%), Camping Ground (23.3%), and Flower Garden (21.3%). The study concludes that local community participation is the highest criterion. At the same time, the waterfall destination is the preferred development choice for the Oro-oro Ombo Pioneer Tourism Village in Batu City, East Java. Sustainable development can be achieved by involving the community in decision-making, ensuring environmental conservation, and offering eco-friendly services. Therefore, the policy implication is that local governments should prioritize community engagement, allocate resources for sustainable infrastructure, and support responsible tourism practices
Daily Production Prediction Model of Oil Wells Using Backpropagation Neural Network
Full text linkBackground: Measuring well production is a crucial task in upstream oil and gas operations, where various tests and measurements are standard procedures and integral parts of operational activities. More frequent production measures are required to detect production declines in mature fields. However, existing daily production testing at the Langgak field, Central Sumatra Basin, cannot be routinely and periodically conducted due to several economic and technical challenges. Purpose: The objective of this article is to create a model for predicting daily crude oil well production.Design/methodology/approach: To achieve this goal, the study applies an artificial neural network (ANN) for forecasting daily crude oil well production, utilizing 17,394 daily production records from 26 wells. This sample size is well above recommended thresholds for neural network models, ensuring sufficient data for robust model training and validation. The backpropagation algorithm and the sigmoid function are employed as the learning algorithm to predict daily crude oil well production. Findings/Result: The optimal parameters for predicting daily crude oil well production were 20 hidden nodes and a learning rate of 0.05, converging at 481 epochs with a training time of 13 seconds.Conclusion: Model performance was indicated by high correlation coefficients (R) across training, validation, and testing phases, along with a low Mean Squared Error (MSE). The resulting regression equation, Output = 1 × Target + 0.00024, confirms a near-perfect alignment with the target function.Originality/Value (State of the art): Although this study employs the standard backpropagation neural network (BPNN) architecture an established method in oil production forecasting it contributes original value by rigorously applying 10-fold cross-validation on an 80:20 train-test split of the Langgak field dataset, thereby enhancing model reliability and offering validated insights for forecasting in mature oil fields; a foundation upon which future research can build using hybrid or more advanced neural architectures shown to yield superior accuracy.
Keywords: artificial neural network, backpropagation, oil production forecasting, machine learning, yield predictio
Learning-Outcomes Factors of Circular Business Model-Training for Waste-Bank Managers
Full text linkBackground: Waste banks and reduce-reuse-recycle (3R) waste management sites are critical to addressing growing waste problems, but many face challenges in developing effective business models. Training in circular business models is crucial to empower waste bank managers for sustainable and profitable operations.Purpose: This study aims to assess the learning outcomes of circular business model training for waste banks and 3R waste management sites, focusing on competencies that can enhance waste management practices.Design/Methodology/Approach: A two-stage research design was employed. The first stage involved qualitative in-depth interviews with 19 participants, analyzed using content analysis. The second stage applied findings from the qualitative phase to design data collection instruments for a quantitative study, which included a survey of 39 managers. The quantitative data were analyzed through Exploratory Factor Analysis (EFA) using SPSS v26.Findings/Results: Seven critical learning outcomes were identified: planning, leadership, finance, self-efficacy, entrepreneurship, information sharing, and marketing. These factors represent essential competencies for the successful implementation of circular business models. Notably, self-efficacy emerged as a novel factor, emphasizing the psychological readiness of participants.Conclusion: The identified factors are key for successful circular business model adoption in waste management. Incorporating them into training programs can enhance waste bank and 3R site operations, leading to greater sustainability and profitability.Originality/Value: This research contributes new insights into the competencies required for circular business model training in waste management, particularly the role of self-efficacy in fostering successful outcomes.
Keywords: circular business model, exploratory factor analysis, learning outcomes, training, waste bank
Development of Innovation Capabilities in The Covid-19 Pandemic Era and Its Effect on Financial Performance
Full text linkBackground: The COVID-19 pandemic has profoundly affected multiple aspects of life, particularly the business sector, which has struggled with the challenges posed by decreasing consumer spending. Globally, an economic crisis has occurred in many countries, including Indonesia, which experienced a recession in the third quarter of 2020 with a GDP decline of 3.49%. As the country with the highest number of COVID-19 cases in Southeast Asia and a high mortality rate, Indonesia faces major challenges in economic recovery. The government has implemented various measures to support people affected by the pandemic. In this situation, companies must develop adaptive strategies not only to survive but also to seize opportunities to improve their performance, even surpassing pre-pandemic conditions.Purpose: To explain how manufacturing companies in Indonesia invest in R&D to develop their innovation capabilities and financial performance during the crisis caused by the COVID-19 pandemic, to prove the differences between the innovation capabilities of Indonesian manufacturing companies before and during the crisis and its effect on financial performance.Design/methodology/approach: The research was conducted on 37 Indonesian manufacturing companies that disclosed expenditures for research and development (R&D) activities. Observational data are financial reports from 2018 to 2021. Data analysis techniques use the Wilcoxon Signed-Rank Test and Linear Regression.Findings/Result: The R&D intensity and ROA before and during the crisis did not differ significantly, whereas ROE showed a significant difference. Innovation capabilities show a significant effect on financial performance, both in ROA and ROE.Conclusion: Only 22% of Indonesian manufacturing companies allocate funds for R&D activities. Nevertheless, the Indonesian manufacturing companies under study demonstrated greater efforts to innovate during the COVID-19 pandemic. Investment in R&D increased from an average of 0.67% before the pandemic to 1.06% during the pandemic. The company\u27s financial performance showed a decline during the pandemic.Originality/value (State of the art): This research has the novelty of revealing the development of innovation capabilities of Indonesian manufacturing companies during the COVID-19 pandemic and using a financial approach to prove the influence of innovation capabilities on company financial performance.
Keywords: financial performance, innovation capabilities, manufacturing companies, pandemic era; research and development (r&d