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Analysis of Financial and Non-Financial Performance of Marine Capture Fisheries Using Gillnet in Pulau Baai Port of Bengkulu Province Tambunan, Yohana; Sukiyono, Ketut; Romdhon, Mustopa
Indonesian Journal of Agricultural Research Vol. 1 No. 1 (2018): InJAR, Vol. 1, No. 1, March 2018
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/injar.v1i1.169

Abstract

This study is aimed at analyzing the financial and non-financial performance of marine capture fisheries business in Baai Island Port. Stratified random sampling including 60 fishermen using gillnet fishing gear in Baai Island Port was used in this survey. The method used both financial performance including the analysis of income, B/C, Break Even Point (BEP), and non-financial performance including the analysis of the productivity of fishing gear, fishermen and fishing trip. The analysis showed that the income of fishermen in Baii Island was IDR 1,880,545 per trip, the B/C was 0.25, the BEP (unit) was 322 kg, and the productivity of fishing gear was 8 kg per unit, the fishermen productivity was 72 kg per person and the catching productivity was 30 kg per trip
Forecasting Model Selection of Curly Red Chili Price at Retail Level Sukiyono, Ketut; Janah, Miftahul
Indonesian Journal of Agricultural Research Vol. 2 No. 1 (2019): InJAR, Vol. 2, No. 1, March 2019
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1105.217 KB) | DOI: 10.32734/injar.v2i1.859

Abstract

Chilli is one of strategic commodity in Indonesia due to its contribution to inflation level. For this reason, future price information is very importance for designing price policy. Future price merely can be provided by conducting a price forecasting. Various forecasting models can be applied for this purpose; the problem is which the best model for forecasting is. This study aims to select the most accurate forecasting model of curly red chili prices at the retail level. The data used are monthly data, from 2011 - 2017. Five forecasting models are applied and estimated including Moving Average, Single Exponential Smoothing, Double Exponential Smoothing, Decomposition, and ARIMA. The best model is selected based on the smallest MAPE, MSE and MAD values. The results show that the most accurate forecasting model is ARIMA (1,1,9).
Analysis of Garlic Import Demand Trend in Indonesia Purba, Pesta; Yuliarti, Ellys; Sukiyono, Ketut
Indonesian Journal of Agricultural Research Vol. 4 No. 3 (2021): InJAR, Vol. 4, No. 3, November 2021
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/injar.v4i3.6306

Abstract

This research aims to find out the development patterns and trends in import demand for garlic in Indonesia. Observing the pattern and trend of garlic imports will provide invaluable information for program planning, program evaluation, and policy development activities for domestic garlic development in the future. The data used in this study is the annual demand for garlic imports in Indonesia from 1995-2019. Three trend methods are applied including linear, quadratic, and exponential methods. The best trend was determined by examining the MAD, MES, ME, and MAPE values. The best trend model for garlic import demand in Indonesia, according to this study, is an ascending exponential trend. The trend of garlic import demands in Indonesia increases along with the increase of garlic consumption and domestic garlic production in Indonesia.
Analysis of Indonesian Palm Oil Competitiveness in the Main Export Destination Countries Maulana, Fahrul Rozi; Sukiyono, Ketut; Nusril; Sriyoto
Indonesian Journal of Agricultural Research Vol. 6 No. 2 (2023): InJAR, Vol. 6, No. 2, July 2023
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/injar.v6i2.11420

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Indonesia is the largest palm oil producing country in the world with a production volume of nearly 43 million tons/year. The high production of Indonesian palm oil is a new opportunity that needs to be developed in this globalization era to compete with its main competitors. Therefore, an analysis is needed in order to discover the competitiveness of Indonesian palm oil commodity in the main export destination countries. Export is an activity conducted by a country by selling its products abroad using the payment system, quality, quantity, and other sales terms that have been agreed upon by the exporting and importing countries. This study aims to analyze the level of competitiveness of Indonesian palm oil exports in the Asian and European markets represented by six countries: India, Malaysia, Singapore, the Netherlands, Italy, and Spain. The analytical method used is Revealed Competitive Advantage (RCA) to see the comparative advantage and to determine whether the performance of Indonesian palm oil products in the main export destination countries increases or decreases by using the Revealed Comparative Advantage Index (RCA Index) calculation. The data used are secondary data in the form of time series during the period of 2014 to 2020 and cross sections of the main export destination countries of Indonesian palm oil. The results of the calculation of the RCA value show that in the period 2014 to 2020 the RCA value of Indonesian palm oil products in the main export destination countries is higher than one (> 1). Thus, Indonesian palm oil products have a comparative advantage in the main exports of destination countries from year to year. In contrast to the RCA index calculation results in this study, Indonesian palm oil products are still able to show a positive trend every year. This is proven by certain years’ RCA index of the main export destination countries: India, Malaysia, Singapore, the Netherlands, Italy, and Spain is still less than one (<1) even though the average RCA index value for each country is higher than one (>1). Hence, it can be said that the performance of Indonesian palm oil products increases or decreases frequently every year in each of the main export destination countries.
Pengenalan dan Penerapan Pengolahan Limbah Organik Rumah Tangga di RT 18 Kelurahan Rawa Makmur Kota Bengkulu Arianti, Nyayu Neti; Yuristia, Rahmi; Reflis, Reflis; Sukiyono, Ketut
Jurnal PADAMU NEGERI (Pengabdian pada Masyarakat Bidang Eksakta) Vol. 5 No. 1 (2024)
Publisher : Perkumpulan Dosen Muda (PDM) Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37638/padamunegeri.v5i1.1128

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Kegiatan pengabdian kepada masyarakat ini bertujuan untuk untuk mengenalterapkan metode pembuatan POP  atau kompos dan POC, serta pembuatan EEN dengan teknik yang sederhana kepada ibu-ibu rumahtangga di lingkungan RT 18 Kelurahan Rawamakmur.  Metode yang digunakan adalah penyuluhan atau penyampaian materi, demonstrasi dan belajar sambil mengerjakan (learning by doing).  Ibu-ibu rumahtangga yang dilibatkan dalam kegiatan ini diharapkan dapat memahami dan terampil mengelola limbah organik rumahtangga sehingga dapat dimanfaatkan dalam kehidupan sehari-hari.  Peran ibu-ibu rumahtangga sangat diharapkan agar kesehatan keluarga dapat terjamin serta lingkungan menjadi bersih, sehat, asri dan nyaman.  Hal yang mendasari adalah tingginya volume limbah organik yang dihasilkan oleh rumahtangga. 
Dynamics of household food security pre and post the COVID-19 pandemic in Bengkulu Province, Indonesia Asriani, Putri Suci; Wibowo, Hariz Eko; Sukiyono, Ketut; Agusti, Netta
JOURNAL OF SOCIOECONOMICS AND DEVELOPMENT Vol 7 No 2 (2024): October
Publisher : Publisher of Widyagama University of Malang (UWG Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31328/jsed.v7i2.5138

Abstract

After the COVID-19 pandemic, there have been changes in the Food Security Index in Bengkulu Province. One of the main challenges in supporting food security at the household level is the development of community capacity and self-reliance in addressing food issues. Information is needed factors that affect household food security in Bengkulu Province, including the impact of the COVID-19 pandemic. This research aims to analyze the factors that  influencing household food security and understanding the dynamics before and after the COVID-19 pandemic regarding household food security in Bengkulu Province. This research can provide a basis for policy-making for the Government of Bengkulu Province. The analytical method used is multinomial logistic regression to identify the factors affecting household food security. The results of analysis show that influencing household food security include pre- and post-pandemic, home ownership status, lighting type, recipients of the Family Hope Program (PKH), adequate sanitation, and average household expenditure. There has been a decrease in energy consumption in self-owned households and households not receiving PKH after the COVID-19 pandemic. Significant changes also occurred in households with non-PLN lighting. Households with inadequate sanitation tend to be food insecure. The pandemic tends have a higher expenditures of household.JEL Classification  D19; H75; Q18
Socio Economic Characteristics and Patterns of Decision Making Women’s Fishermen in the City Bengkulu Romdhon, M. Mustopa; Sukiyono, Ketut
Sodality: Jurnal Sosiologi Pedesaan Vol. 5 No. 1 (2017): Sodality: Jurnal Sosiologi Pedesaan
Publisher : Departement of Communication and Community Development Sciences, Faculty of Human Ecology

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (273.759 KB) | DOI: 10.22500/sodality.v5i1.16271

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ABSTRACTThe role of women in the household is a very complex fishermen from productive activity, domestic, and social. Decisions taken fisherman’s wife to engage in such activities is largely determined by socio - economic characteristics of households of fishermen. These characteristics will determine the pattern of decisions taken. How big is women involvement in fishermen decision making.The analytical method used was descriptive analyses. This study indicated social characteristics are age, ethnics, education, number of family members. Economic characteristics, including the distance to the workplace, length of stay, the allocation of working time and the wife revenue contribution to total household income of fishermen. Those characteristics have to consider among household decision making. Currently, their role in the decision making were equal.Current decision-making patterns have an incentive to reduce the dominance of the head of household to monopolize decisions in the household.Keywords: decision making pattern, woman, social – economic characteristicsABSTRAKKeterlibatan wanita pada kegiatan produktif didorong oleh keinginan mereka untuk mencukupi kebutuhan keluarga. Keputusan wanita nelayan terlibat pada aktifitas produktif, domestik dan sosial sangat ditentukan oleh karakteristik sosial ekonomi wanita nelayan. Apa saja karakteristik wanita nelayan dan seberapa besar perannya dalam pengambilan keputusan rumah tangga di Kota Bengkulu. Peran wanita nelayan pada ketiga aktifitas dianalisis dengan metode analisis deskriptif. Hasil penelitian mengindikasikan karakteristik sosial antara lain umur, etnis, pendidikan,jumlah anggota keluarga. Karakteristik ekonomi antara lain lama usaha, jarak ke tempat kerja, lama bermukim, alokasi waktu serta kontribusi pendapatan wanita terhadap pendapatan rumah tangga. Secara umum, peran isteri setara dengan peran suami pada pengambilan keputusan rumah tangga nelayan di Kota Bengkulu.Model pengambilan keputusan akan mendorong untuk mengurangi dominasi suami atau pihak tertentu untuk memonopoli keputusan dalam rumah tangga.Kata kunci: model pengambilan keputusan, wanita, karakteristik sosial-ekonomi
Analisis Volatilitas Harga Ikan Tuna Di Sentra-Sentra Produksi Di Indonesia Aplikasi Model Arima (Autoregressive Integrated Moving Average) Ketut Sukiyono; Esla Anggreni Br Ginting; M. Mustopa Romdhon
Jurnal Perikanan Unram Vol 14 No 4 (2024): JURNAL PERIKANAN
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jp.v14i4.900

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One of the marine biological resources in Indonesia is tuna which has a high enough economic value so that tuna can be used as one of the mainstays of non-oil and gas exports from the fisheries sector. The purpose of the study included: analyzing the form of the ARIMA model that most appropriately measures the price volatility of tuna fish in production centers in Indonesia and analyzes the price volatility of tuna fish in production centers in Indonesia. The study used 108 months of time series data from January 2012 to December 2020. In this study, the data analysis method used was ARIMA. The results showed that 1) the best models to measure tuna price volatility are National ARIMA model (3,1,2), Aceh model ARIMA (2,1,2), Bali model ARIMA (1,1,12), North Sulawesi model ARIMA (29,1,29), North Maluku model MA (0,1,2) and West Papua model ARIMA (2,1,1), 2) On the data on tuna prices at the producer level that has been analyzed with the best ARIMA model that the volatility of national tuna prices, Aceh, Bali, North Sulawesi, North Maluku and West Papua are high. The price of tuna in North Maluku cannot be analyzed due to the (0,1,2) moving average model
PELATIHAN PENGELOLAAN RISIKO USAHATANI DI KECAMATAN SUNGAI KAKAP Kurniati, Dewi; Dolorosa, Eva; Nugraha, Aditya; Permatasari, Nia; Sukiyono, Ketut
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 7, No 11 (2024): MARTABE : JURNAL PENGABDIAN MASYARAKAT
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v7i11.4421-4427

Abstract

Aktifitas pertanian menghadapi berbagai sumber-sumber yang dapat menimbulkan risiko kerugian. Kondisi tersebut membutuhkan pengelolaan risiko yang baik agar petani dapar terhindar atau mengurangi risiko yang mungkin dapat terjadi. Kegiatan ini memiliki tujuan agar keterampilan petani dalam mengidentifikasi sumber risiko dapat ditingkatkan dan menganalisis upaya pengelolaan risiko yang sesuai dalam menghadapi risiko usahataninya serta merumuskan kegiatan yang dapat mengurangi dampak risiko. Pelaksanaan dilakukan melalui penyuluhan dan pelatihan. Adapun tahapan pengelolaan risiko usahatani meliputi identifikasi sumber risiko, pengukuran risiko dan pengendalian risiko. Dari tahapan pengelolaan risiko petani dapat merumuskan keputusan manajemen dalam upaya memitigasi risiko usahatani meliputi strategi mitigasi dari risiko produksi, risiko harga, risiko keuangan, risiko manusia dan risiko kelembagaan. Perlu adanya dukungan dari pihak pemerintah maupun pihak akademisi untuk melakukan pendampingan dan pembinaan terhadap kelompok masyarakat tani sebagai upaya memitigasi risiko usahatani dengan cara salah satunya menerapkan Biosaka pada lahan pertaniannya. 
ANALYSIS OF TECHNICAL EFFICIENCY OF RICE FARMING ON DIFFERENT LAND AREA STRATA IN BENGKULU PROVINCE Prasania, Maya Dhelima; Sukiyono, Ketut; Romdhon, M. Mustopa
Journal of Agri Socio Economics and Business Vol. 6 No. 02 (2024)
Publisher : Badan Penerbitan Fakultas Pertanian (BPFP), Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31186/jaseb.6.2.395-414

Abstract

Efficiency in utilizing production factors in rice farming is measured by assessing technical efficiency.  This technical efficiency reflects how well farmers utilize production input factors to produce output.  The problem is, to what extent is the level of technical efficiency of lowland rice farming at different strata of land area?  The aim of this research is to (a) analyze differences in the level of efficiency of lowland rice farming in different strata of land area in Bengkulu Province, (b) analyze what factors influence lowland rice farming in different strata of land area in Bengkulu Province. This research method is quantitative, and data is collected by distributing questionnaires to 175 farmers in different land strata in Lebong Regency and South Bengkulu Regency.  The data were analyzed using the Cobb-Douglas production function with the Stochastic Frontier approach.  The research results show that 1) efficiency varies between each stratum of land area, with an average level of efficiency in stratum I of 96.89%, stratum II of 89.14%, stratum III of 98.40%, and in stratum combined 94.81%; 2) The factors that influence the technical efficiency of rice farming in stratum I consisting of land, urea and female labor, in stratum II consisting of seeds and phonska, in stratum III consisting of land area and seeds.  Meanwhile, regarding technical inefficiency in rice farming, the influencing factors in stratum I consist of age, education, experience, and number of dependents; in stratum II, it consists of age, while in stratum III, it consists of age, education, and experience.
Co-Authors . Sriyoto, . Aditya Nugraha ADITYA NUGRAHA Agus Purwoko Agus Purwoko Agusti, Netta Ahmad Soleh Amanda, Teresha Andi Irawan Apri Andani, Apri Ariandini, Rantika Aspriyati, Wiwik Asriani, Putri Suci Bambang Sulistyo Bambang Sumantri Basuki Sigit Priyono Basuki Sigit Priyono Bembi Akbar Serawai Br Ginting, Esla Anggreni Dewi Kurniati Dinata, Indra Cahya Dita, Putri Tiara Diyahya, Irvan Dwi Lestari Ellys Yuliarti, Ellys emlan fauzi Emy Yuliantini Enggar Apriyanto, Enggar Esla Anggreni Br Ginting Eva Dolorosa Felycia Tiera Kencana, Felycia Tiera Gita Mulyasari Hadi Wiyanto, Hadi Harisma Ika Kaban, Harisma Ika Herdiyanti, Yulia Hermansyah, Deden Indra Cahyadinata Indra Cahyadinata, Indra Irba’ Muhlas Sambodo Irnad, Irnad M. Agus Maryanto, M. Agus M. Mustopa Romdhon M. Mustopa Romdhon, M. Mustopa M. Zulkarnain Yuliarso, M. Zulkarnain Maheran Mulyadi Mardianto M Martadiningrum, Utari Martadiningrum, Utari Martiana, Dinda Maulana, Fahrul Rozi Melia, Jheni Juwita Sari Melisa Ayu Oktariza Miftahul Janah, Miftahul Miftahuljanah, nFN Mochamad Ridwan, Mochamad Mohammad Chozin Muhammad Zulkarnain Yuliarso Muly Apriansyah Murbaningtyas, Vivi Musriyadi Nabiu, Musriyadi Musryadi Nabiu, Musryadi Mustopa Romdhon Mustopa Romdhon, Mustopa N, Darmansyah A Nani Sura Saragih, Nani Sura nFN Sriyoto Nia Permatasari, Nia Nola Windirah Novanda, Ridha Rizki Nusril Nusril Nusril Nyayu Neti Arianti, Nyayu Neti Oktami, Evon Tri Pingki, Anadiya Prasania, Maya Dhelima Purba, Pesta Putri Suci Asriani Rahayu, Heni Sulistiawati Purwaning Rahmadini, Refita Redy Badrudin Reflis, Reflis Reswita Reswita, Reswita Ridlo Syahfrudin, Ridlo Ridwan Nurazi Ridwan Nurazi, Ridwan Romdhon, M Mustopa Romdhon, M.Mustopa Romdhon, Muhamad Mustopa Romdhon, Muhammad Mustopa Romdhon, Mustofa Romi Gunawan, Romi Rosdiana Rosdiana Rudy Badrudin Sakinah, Fitri Sandi Aprilla, Sandi Saputra, Andes Andrean Saputra, Rahmat Bayu Septri Widiono Simanjuntak, Bripen Sri Sugiarti Sriyoto Sriyoto Sriyoto Sriyoto Sriyoto, Sriyoto Sriyoto, Sriyoto Sriyoto, Sriyoto Tambunan, Yohana Tyaningsih, Elis Vera Octalia Wibowo, Hariz Eko Yopi Saleh Yulius Budiman, Yulius Yuristia, Rahmi