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RISK ANALYSIS OF HYDROPONIC SPINACH PRODUCTION AT SERUA FARM DEPOK CITY Elpawati Elpawati; Junaidi Junaidi; Wasis Vidya Hajjarwati
AGRIBUSINESS JOURNAL Vol 15, No 1 (2021): AGRIBUSINESS JOURNAL
Publisher : Syarif Hidayatullah State Islamic University Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aj.v15i1.28142

Abstract

In this study, the causes and impacts of the risks caused will be identified, as well as determining the causes of risks that must be given preventive action first to control the risk of hydroponic spinach production at Serua Farm. The study was conducted by identifying the causes of risk using the Fish Bone diagram by detailing the causes of failure and the consequences of risk based on the source of production risk. The risk analysis uses the House of Risk Phase 1 and 2 methods, as well as the Pareto diagram to map the causative agents of risk that should be given a preventive strategy first.  The risks of hydroponic spinach production faced by Serua Farm are grouped into 23 risk causes and 22 risk events. The results of the risk mapping that occurred in hydroponic spinach production at Serua Farm obtained a total of 12 risk causes that were priorities to be used as risk management and based on the Pareto mapping, 18 preventive risk prevention strategies were obtained to avoid these risks from happening again.
PENGARUH BAURAN PEMASARAN TERHADAP LOYALITAS KONSUMEN KECAP MANIS ABC DI JABODETABEK Elpawati Elpawati; Rizki Adi Puspita Sari; Halimatus Sa’diyah
AGRIBUSINESS JOURNAL Vol 11, No 2 (2017): AGRIBUSINESS JOURNAL
Publisher : Syarif Hidayatullah State Islamic University Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (380.45 KB) | DOI: 10.15408/aj.v11i2.11839

Abstract

This study aims to analyze effects of marketing mixes on consumer loyalties. A total of 100 respondents drawn from consumers who never consumed or consumed soy sauce ABC at least once during the last year were interviewed. Descriptive analyses and methods Path Analyses were used to analyze the relationship between the independent variables, namely products, prices, places, and promotions on the dependent variable, customer loyalties (Y2) through mediating variables or intermediate variables, consumer behaviors (Y1). Results indicated that the variables of products, prices, places, and promotions jointly had influences on consumer behaviors while partial test showed that variables of product and promotion had direct effects on consumer loyalties, and variables of price and place did not have any influences directly but through intermediary variables namely consumer behaviors.
FAKTOR - FAKTOR YANG MEMPENGARUHI PRODUKSI PROPOLIS LEBAH HETEROTRIGONA ITAMA DI RUMAH KOMPOS UIN JAKARTA Elpawati Elpawati; Achmad Tjachja Nugraha; Haris Maulana
AGRIBUSINESS JOURNAL Vol 13, No 2 (2019): AGRIBUSINESS JOURNAL
Publisher : Syarif Hidayatullah State Islamic University Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aj.v13i2.28576

Abstract

Lebah Heterotrigona itama, merupakan serangga yang hidup berkelompok dan membentuk koloni. Lebah jenis Heterotrigona termasuk golongan stingless bee yaitu golongan lebah yang menggigit namun tidak memiliki sengat, biasanya membuat sarang di dalam lubang pohon, celah dinding atau lubang bambu di dalam rumah. Propolis merupakan produk yang dihasilkan oleh serangga (lebah madu). Lebah menghasilkan beberapa produk seperti madu, royal jeli, polen dan propolis. Propolis merupakan bahan resin yang melekat pada bunga, pucuk dan kulit kayu. Sifatnya pekat, bergetah, berwarna cokelat kehitaman mempunyai bau yang khas, dan rasa pahit.Lebah menggunakan bahan propolis untuk pertahanan sarang, mengkilatkan bagian dalam sarang dan menjaga suhu lingkungan. Produksi propolis dipengaruhi banyak faktor seperti jenis lebah, kondisi iklim dan geografis, jenis stup,ketersediaan sumber propolis di alam dan kekuatan koloni lebah. Temperatur juga menjadi salah satu faktor yang memengaruhi produksi propolis. Salah satunya tempat sebagai objek atau riset budidaya ternak Lebah Heterorigona Itama di Rumah Kompos Rumah Kompos UIN Syarif Hidayatullah Jakarta.Penelitian ini bertujuan untuk 1) Untuk mengetahui seberapa besar pengaruh faktor - faktor produksi propolislebah Heteroheterotrigona Itama di Rumah Kompos UIN Jakarta. 2) Untuk mengetahui seberapa besar faktor - faktor yang mempengaruhi produksi propolis lebah Heteroheterotrigona Itama di Rumah Kompos UIN Jakarta. Data ini diperoleh melalui data sensus (sampel penelitian yang sebagian dari populasi jumlah total produksi propolis berjumlah 37 LOG dan dapat mewakili seluruh populasi). Metode yang digunakan dalam mengolah dan menganalisis data produksi propolis Lebah Heterotrigona Itama yaitu analisis kuantitatif melalui model persamaan regresi liniear berganda, dengan alat bantu yang digunakan adalah Statistical Product for Service Solution (SPSS) versi 23.0.Faktor - faktor yang mempengaruhi produksi propolis Lebah Heterotrigona Itama di Rumah Kompos UIN Jakartaadalah sebagai berikut: variabel jenis pohon, ukuran log, suhu dan hama secara bersama-sama mempengaruhi produksipropolis di Rumah Kompos UIN Jakarta secara signifikan. Variabel jenis pohon, ukuran log dan hama memiliki pengaruh positif dan signifikan terhadap produksi propolis di Rumah Kompos UIN Jakarta dengan tingkat kepercayaan 90%.
INCOME AND VALUE-ADDED ANALYSIS OF COW'S MILK-PROCESSED IN CIBUNGBULANG SUBDISTRICT, BOGOR Elpawati Elpawati; Dewi Rohma Wati; Nabilah Nurshalihah
AGRIBUSINESS JOURNAL Vol 16, No 2 (2022): Agribusiness Journal
Publisher : Syarif Hidayatullah State Islamic University Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aj.v16i2.29381

Abstract

This study aims to determine the operating income and added value of processed cow's milk products in the agro-industry of the Cibungbulang Dairy Farming Business Area (KUNAK), Bogor. The location used was selected purposively, namely Papajo and Etzel agroindustry in Cibungbulang District. The sample population consists of business owners and employees, who served as respondents. Data was collected using a list of questions or questionnaires to obtain information, followed by analysis using Microsoft Excel. Subsequently, the income and R/C ratio were calculated, while the Hayami method was used to determine the added value of each product. The results showed that the incomes for yogurt, kefir, and ice cream were IDR29,973,500/month, IDR13,648,334/month, and IDR39,204,167/month, respectively. The R/C ratio of yogurt was 1.4 > 1, kefir 1.6 > 1, and ice cream 3.1 > 1, which indicates that the cow's milk processing business is profitable and feasible. The added value of yogurt, kefir, and ice cream products was IDR14,291/liter, IDR5,619/liter, and IDR 53,900/liter with value-added ratios of 44.66%, 23.41%, and 74.86%, respectively.
EFFECT PRODUCT, PRICES, PLACES AND PROMOTION ON THE DECISION TO BUY HYDROPONIC VEGETABLES ONLINE AT PT. SAYURAN PAGI DURING THE COVID-19 Elpawati Elpawati; Iwan Aminudin; Nabila Rahmandika
AGRIBUSINESS JOURNAL Vol 17, No 1 (2023): Agribusiness Journal
Publisher : Syarif Hidayatullah State Islamic University Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aj.v17i1.32314

Abstract

The emergence of the COVID-19 pandemic has caused a change in behavior in society. Healthy and nutritious food such as hydroponic vegetables can be the right choice to consume during a pandemic. This is a good opportunity for hydroponic businesses such as PT. Sayuran Pagi, but until now its sales are known to be still volatile and tend to decline. This research aims to analyze online purchasing decisions during the pandemic which are influenced by variables of product, price, place and promotion on hydroponic vegetables products from PT. Sayuran Pagi both simultaneously and partially, as well as knowing which variables have the dominant effect. The sampling techniques used are descriptive analysis and multiple linear regression analysis. The results showed that a calculated F of 66,901 was obtained with a significance of 0.000. F table known with alpha 5% of 2,467. The results of calculation show that F calculates > F table (66,901 > 2,467) with a significance of < alpha (0.000 < 0.005). this means that the variables Product, Price, Place and Promotion have a significant effect together (simultaneously) on purchasing decisions. Meanwhile, based on the t test, it is known that the Promotion variable does not have a partial significant influence on the decision to buy hydroponic vegetables online at PT. Sayuran Pagi during the pandemic.
Strategi Pengembangan Kacang Hijau Kabupaten Demak Jawa Tengah Sri Suhartini; Iwan Aminudin; Elpawati Elpawati
Sharia Agribusiness Journal Vol 3, No 1 (2023)
Publisher : Program Studi Agribisnis UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/saj.v3i1.32888

Abstract

The main production centre for mung beans in Indonesia is Demak Regency. Mung bean in Demak Regency is a plant grown in paddy fields with the methuk system before the rice harvest by spreading the seeds. Mung bean planting is carried out from the end of May, and mung bean production starts from August to November. Mung beans have been planted, used for food and beverage needs, and exported to Asian countries since 2015. Statistical data for 2012-2021 shows an increase in the harvested area of 4.32% and production of 4.88%, but productivity has decreased by 2.30%. This decrease indicates that the development of green beans is not going well. This research was conducted to analyse green bean development strategies and formulate appropriate procedures for implementation in Demak Regency. The IFE and EFE matrices obtained values of 2.612 and 2.958, resulting in an Automatic meeting point in cell V. Based on the SWOT Matrix, the strategy for developing green bean agribusiness in Demak Regency is a hold and maintain or stabilization strategy. QSPM shows that the right approach is to increase the quality of mung beans by increasing the skills of farming actors and using the latest agricultural machinery (Strategy 3). Utilizing the potential of the land in collaboration between Stakeholders for production in other seasons (Strageti 4). Application of cultivation according to technology recommendations by using technology and information to increase production (Strategy 1). Carry out routine maintenance of normalization of irrigation canals to reduce sediment build-up (Strategy 2) Keywords: Mung Bean, IE, SWOT, QSPM AbstrakSentra produksi utama kacang hijau di Indonesia adalah Kabupaten Demak. Kacang hijau di Kabupaten Demak merupakan tanaman yang ditanam di persawahan dengan sistem methuk sebelum panen padi dengan menyebarkan bijinya. Penanaman kacang hijau dilakukan mulai akhir Mei, dan produksi kacang hijau dimulai pada Agustus hingga November. Kacang hijau telah ditanam, dimanfaatkan untuk kebutuhan makanan dan minuman, serta diekspor ke negara-negara Asia sejak tahun 2015. Data statistik tahun 2012-2021 menunjukkan peningkatan luas panen sebesar 4,32% dan produksi sebesar 4,88%, namun produktivitas mengalami penurunan sebesar 2,30% . Penurunan ini menandakan bahwa perkembangan kacang hijau tidak berjalan dengan baik. Penelitian ini dilakukan untuk menganalisis strategi pengembangan kacang hijau dan merumuskan prosedur pelaksanaan yang tepat di Kabupaten Demak. Matriks IFE dan EFE diperoleh nilai 2,612 dan 2,958, sehingga terdapat titik temu otomatis pada sel V. Berdasarkan Matriks SWOT, strategi pengembangan agribisnis kacang hijau di Kabupaten Demak adalah strategi hold and maintain atau pemantapan. QSPM menunjukkan bahwa pendekatan yang tepat adalah meningkatkan kualitas kacang hijau dengan meningkatkan keterampilan pelaku pertanian dan menggunakan mesin pertanian terkini (Strategi 3). Memanfaatkan potensi lahan hasil kerjasama antar Stakeholder untuk produksi pada musim lainnya (Strageti 4). Penerapan budidaya sesuai anjuran teknologi dengan memanfaatkan teknologi dan informasi untuk meningkatkan produksi (Strategi 1). Melaksanakan pemeliharaan rutin normalisasi saluran irigasi untuk mengurangi penumpukan sedimen (Strategi 2) Kata Kunci : Kacang Hijau; IE; SWOT; QSPM
Forecasting Indonesia's ginger export with major competing countries in the international market Elpawati, Elpawati; Wirhanti, Puspi Eko; Aisyah, Salma Nur
Anjoro: International Journal of Agriculture and Business Vol 3 No 2 (2022): Anjoro
Publisher : Agribusiness Department, Agriculture and Forestry Faculty, Universitas Sulawesi Barat, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31605/anjoro.v3i2.2061

Abstract

The volatile and unbalanced global demand for ginger makes it difficult for Indonesia to realize the decline and rise in exports. An analysis of export relations among between China, India, the Netherlands, and Indonesia is indispensable as these countries are the main exporters of ginger worldwide. Therefore, this ginger-exporting study aims to analyze the relationship between ginger exporting countries Indonesia, China, India, and the Netherlands from January 2013 to December 2017. Investigate the shock effect of increasing Chinese, Indian, and the Netherlands ginger exports on Indonesian ginger exports from January 2018 to December 2024. Explore the effect of changes in ginger exports in the four countries from 2018 to 2024. Analysis of relationships and influences over the next 6 years from 2018-2024 was performed using a time-series timeseries in the form of ginger export data from Indonesia, China, India, and the Netherlands for the 2013-2017. The analysis method used VAR (VECM), while the data were processed using Microsoft Excel 2010 and EViews 10 applications. The results showed a relationship between the four4 countries in the long term, significantly affecting the increase and decrease ginger exports in Indonesia, the Netherlands, and India. Between the 2018-2024, Indonesia's ginger exports will increase by 92%, followed by the Netherlands 7%, China 0.2%, and India 0.8%. For the China, ginger exports will increase 80% followed by Indonesia 4%, India 5%, and the Netherlands 11%. Meanwhile, for Indian ginger, an increase in exports will be dominated by India at 68%, Indonesia 20%, China 6%, and the Netherlands 6%. As for the Netherlands ginger exports, there will be an increase dominated by Indonesia at 73%, China 1%, India 5%, and the Netherlands 21%.
CONDITIONS AFFECTING IMPORTS OF MUNG BEANS IN INDONESIA Azzahara, Hazhiyah; Elpawati, Elpawati; Dwi Humaerah, Armaeni
AGRIBUSINESS JOURNAL Vol. 19 No. 1 (2025): AGRIBUSINESS JOURNAL
Publisher : Syarif Hidayatullah State Islamic University Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/aj.v19i1.47332

Abstract

Mung beans are believed to be the key to Indonesia's food security in facing the food crisis in the future. This study aims to analyze the factors that influence the volume of mung bean imports in Indonesia. The factors studied include domestic production, import prices, exchange rates, domestic prices, and government policies. The data used are secondary data from 2007 to 2022, obtained from Statistics Indonesia (BPS), the Ministry of Agriculture, and UN Comtrade. Multiple linear regression was used to determine the effect of each independent variable on the volume of mung bean imports. Based on the EViews regression output, three variables were found to have a significant effect on the volume of mung bean imports in Indonesia: domestic production (negative effect), real domestic prices (positive effect), and import policy (significant effect). Meanwhile, real import prices and the exchange rate of the Rupiah against the US Dollar showed negative but statistically insignificant effects. These findings indicate that fluctuations in mung bean imports in Indonesia are more strongly influenced by domestic production levels, internal price dynamics, and government policies rather than external factors such as import prices and currency exchange rates.