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INCREASING THE CAPABILITIES OF PEKASIRAN VILLAGE MSMEs THROUGH SOCIALIZATION AND TRAINING IN DIGITAL MARKETING CONTENT CREATION AND BUSINESS LICENSING Mustahidda, Rahmania; Sugiharti; Nugroho, Prihasantyo Siswo; Bhandari, Rahul; Srisuk, Prattana; Rusuli, Muhamad Saufi Che; Rifai, Agus; Andriyanti
Perwira Journal of Community Development Vol 3 No 1 (2023)
Publisher : Unperba Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54199/pjcd.v3i1.378

Abstract

Pekasiran Village, Batur District, Banjarnegara Regency has a role in realizing the development of MSMEs in Indonesia. MSMEs in Pekasiran village still need innovation to further improve existing MSMEs. To increase the capabilities of MSMEs, Most MSMEs in Pekasiran village do not have an effective marketing strategy and mastery of digital marketing knowledge is not yet fulfilled due to the lack of socialization regarding this matter. In accordance with the current conditions of MSMEs in Pekasiran village, dedication is carried out to improve the development of MSMEs in Pekasiran village in the form of creating product photo content, packaging, label and branding innovations, as well as marketing strategies for MSMEs using social media and existing marketplaces. The community service program to increase the development of MSMEs has been running smoothly. The main agenda or work programs that were successfully implemented included Socialization Socialization of the use of digital marketing and business licensing in order to increase the capabilities of MSMEs in Pekasiran Village and Continued outreach activities, assistance to MSMEs for packaging innovation in the form of logos and labelling. Creating and tutoring the using of social media and marketplace.
Koi Fish Cultivator Marketing Strategy During The Pandemic In Ciseeng, Bogor Regency Sa'diyah, Sholikatus; Rifai, Agus; Subchi, Imam
International Journal of Educational Research & Social Sciences Vol. 3 No. 5 (2022): October 2022
Publisher : CV. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijersc.v3i5.400

Abstract

The Covid-19 pandemic has had an impact on various sectors in Indonesia. One of the sectors affected is koi fish farming in Ciseeng, Bogor Regency. This study focuses on the strategies used by ornamental koi fish cultivators in Ciseeng, Bogor Regency during the Covid-19 pandemic. The research methodology used by the researcher is a qualitative method with a three-month fieldstudy from August to October 2021. By using participatory observation and in-depth interviews as data collection methods, plus purposive sampling method as a subject determination. The results of this study are; During the pandemic, koi fish farmers in Cibogo Village, Ciseeng, Bogor Regency do side jobs to maintain and increase income. The side jobs carried out by the cultivators include being construction workers, as well as other fish farming. During the pandemic, only one farmer tried to market online, while the other 14 did traditional marketing. This is because the cultivators do not receive marketing strategy training or assistance from the local government
Sociological Dimensions in the Implementation of Salam Contracts in Rambutan Trade Transactions in Tangkiling, Central Kalimantan Rifai, Agus; Hidayati, Tri; Mohd Zahir, Mohd Zamre
ASAS Vol. 17 No. 02 (2025): Asas, Vol. 17, No. 02 Desember 2025
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/

Abstract

The implementation of salam contracts in agricultural trade often faces tension between classical fiqh norms and local socio-economic dynamics, including in rambutan trade transactions in Tangkiling, Central Kalimantan. The discrepancy between the legal pillars and requirements of salam and trust-based social relations raises questions regarding the validity and normative transformation of such contracts within agrarian communities. This study aims to analyze the sociological dimensions of salam contract implementation in rambutan trade transactions in Tangkiling and to identify the social factors influencing these practices. This research employs a qualitative approach with a field study design, utilizing in-depth interviews, participatory observation, and document analysis. The data were analyzed descriptively and analytically using the perspective of Islamic legal sociology. The findings reveal that salam practices are conducted informally through trust-based transactions, flexible price negotiations, and adaptive arrangements in response to harvest fluctuations. Social solidarity, patron–client relationships, and farmers’ liquidity needs emerge as key determinants shaping transaction patterns. From a normative perspective, several elements of the salam contract are fulfilled; however, flexibility in determining product specifications and delivery time is influenced by local socio-economic contexts. The study highlights the importance of a contextual approach in understanding salam contract implementation and recommends strengthening community-based fiqh muamalah literacy to enhance legal certainty and protection for all parties involved.
Daily Stock Price Forecasting of PT Astra Agro Lestari (AALI) Using Arima and Arch-Garch Models Rizki Amelia, Azizah; Nurhaliza, Siti; Cantika Dewi, Zhakira; Rifai, Agus
International Journal of Science and Environment (IJSE) Vol. 6 No. 1 (2026): February 2026
Publisher : CV. Inara in Colaboration with www.stie-sampit.ac.id

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijse.v6i1.423

Abstract

The capital market serves as a vital investment channel where stock prices exhibit dynamic fluctuations influenced by macroeconomic factors and market sentiments. This study estimates daily stock prices of PT Astra Agro Lestari Tbk (AALI), a leading palm oil company, using hybrid ARIMA-ARCH-GARCH models. Employing quantitative time series analysis, the population comprises all daily AALI stock prices from January 1, 2021, to June 30, 2025 (1,145 observations), sampled purposively via Investing.com data. Analysis techniques include ADF stationarity tests, ACF-PACF correlograms, AIC/SC/HQ model selection, ARCH-LM heteroskedasticity tests, and forecasting accuracy evaluation. Results identify ARIMA(1,1,1) as optimal for mean modeling and GARCH(2,1) for volatility, achieving 53% average forecasting accuracy for July 31-August 5, 2025. The hybrid model effectively captures price patterns despite external influences.
Co-Authors Achmad Sofian Andriyanti Ardiana, Citra Bhandari, Rahul Cantika Dewi, Zhakira Darmawangsa, Muhammad Rizky Hartaja, Dinda Rita Krishumartani Ikhsan, Iik Nurul Imam Setiadi, Imam JOKO PRAYITNO Mohd Zahir, Mohd Zamre myharto, Wiend Sakti Nugroho, Prihasantyo Siswo Nuryaman Nuryaman Oman Sulaeman, Oman Rahmania Mustahidda Rahmasari, Iklima Ika Rizki Amelia, Azizah Rudi Nugroho Rusuli, Muhamad Saufi Che Sa'diyah, Sholikatus Siti Nurhaliza Srisuk, Prattana Subchi, Imam SUGIHARTI Tri Hidayati YUNUS