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YUK TANI: Optimizing the Distribution of Agricultural Products through Android-Based Applications

Oktavia, Chaulina Alfianti, Meisaroh, Firda, Abdillah, Rizky
Abstract: The Pajarakan District area is an agricultural area where 61% of the area is rice fields. Even though the Pajarakan Subdistrict area has large agricultural land, it does not make farmers feel benefited when the harvest season… eason arrives, because many of the farmers feel at a loss because their crops are bought by collectors at low prices. The purpose of this research is to create a system for selling agricultural products to help farmers sell agricultural products directly to agents in order to get a higher price than the price of collectors. In this study, a system was successfully created with the name YUK TANI based on Android using Android Studio, and the CodeIgniter 4 framework for creating REST APIs, and MySQL as database storage. With this system of selling agricultural products, it is hoped that it can help farmers in the Pajarakan District area to improve their economy when post-harvest arrives.

Managing Risks In Fintech: Applications And Challenges Of Artificial Intelligence-Based Risk Management

Rolando, Benediktus, Mulyono, Herry
Abstract: Artificial Intelligence has become a transformative technology in the field of financial technology, leveraging advanced algorithms and machine learning to identify risks and make informed decisions. However, its widespread… ead adoption presents new challenges related to ethical use, data privacy, security concerns, potential bias, and discrimination. This study aims to explore the benefits of AI-based risk management in Fintech while highlighting associated challenges and providing recommendations. This research utilises the systematic review methodology to analyse existing literature and identify important patterns, gaps, and areas for further investigation. The study utilised data gathered from the Scopus database to obtain credible scholarly materials. Research data was collected from a variety of countries including the United States, China, European nations, and other Asian countries in order to develop a comprehensive understanding of AI-based risk management on a global scale. The findings highlight the crucial role of ethical considerations in implementing AI-based risk management systems to ensure fairness, transparency, and accountability. Moreover, the fintech industry needs to establish strong data protection measures and address issues related to bias and discrimination in order to instil trust and uphold public confidence in AI-based risk management. Future research should emphasise  assessing the effectiveness of different algorithms and approaches while also examining potential regulatory frameworks and legal implications associated with AI-based risk management strategies.

Strengthening Resilience in U.S. Supply Chains: Risks, Vulnerabilities, and Policy Priorities

Ayangbah, Shirley
Abstract: In order to increase the resilience of the supply chains in the United States, this paper examines the risks and vulnerabilities that exist in them and suggests policy goals. By employing both numerical data and empirical… l proof, we pinpoint the primary obstacles endangering the steadiness and effectiveness of supply networks. These risks are exacerbated by elements like globalization, technological changes, and natural calamities. We examine different policy initiatives, such as international cooperation, investment plans, and regulations, and provide recommendations to reduce these vulnerabilities and strengthen the resilience of U.S. supply chains .

The Effect of Celebrity Endorsement on Repurchase Intention With Brand Attitude, Brand Credibility, and Brand Image as Intervening Variables on Product Somethinc

Arismunandhar Sunarwia, Atdriansyah, Rahman Kadir, Abdul, Maming, Djumidah, Kadir, Nuraeni, A.S. Parawansa, Dian, Mustafa, Fahrina
Abstract: By taking into account the function of brand attitude, brand credibility, and brand image as intervening variables, this study seeks to assess the impact of celebrity endorsement on repurchase intention of SOMETHINC products.… ucts. A common marketing tactic for influencing consumer views and behavior toward specific products is celebrity endorsement. This study employs a survey methodology, collecting information from participants using questionnaires that are given to those who are familiar with SOMETHINC goods and have interacted with relevant celebrity endorsements. Utilizing statistical analysis techniques like multiple linear regression and path analysis, hypotheses are tested. The findings demonstrated that brand attitude, brand credibility, and brand image are significantly influenced by celebrity endorsement. In this situation, brand attitude has been shown to mediate between celebrity endorsement and intention to repurchase. A similar association between celebrity endorsement and repurchase intention is mediated by brand credibility and brand image. These results demonstrate that celebrity endorsements can positively affect consumers' perceptions of SOMETHINC products by enhancing brand attitude, brand credibility, and brand image. These factors in turn influence consumers' desire to repurchase the product. In order to maximize the efficacy of this marketing strategy, businesses should carefully evaluate the choice and management of celebrity endorsements as well as the development of positive brand attitudes, brand credibility, and brand image.

Innovation Strategy for Village Owned Enterprises (BUMDes) in Increasing Potential and Economic Welfare of Village Communities (Study on BUMDes Maccini Baji Bonto Jai Village, Bissapu District, Bantaeng Regency)

Saputra, Ikhwan, Madris, Nurbayani, Sri Undai
Abstract: Badan Usaha Milik Desa is agency business that was established by the Government of the village with capital beginning sourced from APB December to utilize all the potential economic, institutional economy as well as the… potential source of the power of nature and the source of the power of man in order to improve the welfare of the community village. Research This aims to determine the role of BUMDes in utilizing the potential of the economy locally with a variety of potential which is owned by the village in order to improve the welfare of the economy of society villagers and encourage an increase in revenues native village. This research is a field, data collection techniques used in this study is a triangulation technique (observation, interview and documentation). The method of research is using the method of research qualitative descriptive. The results of this study are the role of BUMDes Sumber Sejahtera in increasing the potential and economic prosperity of the community in Pujonkidul Village through its programs and business units that can open new jobs for residents, increase community incomes and encourage increased PAD Desa.

The Impact of Covid-19 on The Profitability of Manufacturing Companies Listed on The Indonesia Stock Exchange (IDX)

Adri, Mutia Tasyah, Kurniawan, Agung Widhi, Anwar, Ramli, Anwar, Nurman
Abstract: This study aims to determine the impact of COVID-19 on the profitability of manufacturing companies listed on the Indonesia Stock Exchange. This sample was taken from manufacturing companies listed on the Indonesia Stock… Exchange (IDX) which can be accessed via the website (www.idx.co.id), the research sample was selected using the purposive sampling method of 22 manufacturing companies listed on the Indonesian stock exchange for the 2019-2021 period. The type of data used in this research is quantitative data obtained from financial reports that have been audited and published by manufacturing companies listed on the 2019-2021 Indonesian Stock Exchange. Data collection is done by using Documentation technique. In this research, the data source used is secondary data. The analytical methods used in this study include: Using Descriptive Statistical Tests and Difference Tests (Paired Sample T-Test) The results of this study indicate that it is concluded that the COVID-19 pandemic has had a significant impact on the profitability of manufacturing companies listed on the Indonesia Stock Exchange. NPM, ROA, and ROE underwent significant changes after the pandemic, indicating a decrease or increase in the financial performance of these companies. These results indicate the need for companies to adapt their business strategy and financial management to face the challenges posed by the COVID-19 pandemic in order to ensure the continuity and profitability of the company in the future.

Burnout as Mediateer of The Influence of Organizational Support and Family Support on Job Stress at KSPPS Tunas Artha Mandiri

Ketut Bayu Tresna Prasetya, Budi Eko Soetjipto, Sopiah
Abstract: The purpose of this study is to investigate the effects of organizational and family support on work stress among female employees at KSPPS Tunas Artha Mandiri, as well as to examine the role of burnout as a mediator between… ween these variables. The study aims to provide a better understanding of the factors that influence work stress among female workers, in order to provide recommendations for improving employee well-being and company productivity. The population of the study consists of 641 female employees in the company. The method used is a quantitative approach and path analysis. The results show that organizational support has a negative and significant effect on burnout, while family support has a positive and significant effect on burnout. Both organizational and family support have a negative and significant effect on work stress. Burnout has a positive and significant effect on work stress but does not mediate the effects of organizational and family support on work stress

Penerapan Data Mining Dalam Estimasi Harga Emas Menggunakan Algoritma Trend Moment Pada PT Victoeria Vici

Erika Fahmi Ginting, Husna Gemasih, Suci Andriyani, Mutiara S. Simanjuntak, Chindi Dwi Lestari Nainggolan
Abstract: Emas merupakan salah satu jenis komoditi yang paling banyak diminati untuk tujuan investasi, karena dipandang sebagai instrumen yang lebih aman dibandingkan saham serta memiliki nilai jual yang selalu bergerak mengikuti… kondisi pasar. PT Victoeria Vici, sebagai pelaku usaha perhiasan emas custom, menghadapi kendala dalam menentukan estimasi harga jual kepada pelanggan, sebab proses pengerjaan pesanan custom membutuhkan waktu hingga 14 hari, sementara harga emas bergerak fluktuatif dan tidak terstruktur setiap harinya sehingga estimasi harga menjadi tidak akurat dan tidak efektif. Berdasarkan permasalahan tersebut, penelitian ini menerapkan konsep Data Mining dengan algoritma Trend Moment untuk mengestimasi harga emas pada rentang waktu tertentu. Data yang digunakan merupakan data historis harga emas per gram pada PT Victoeria Vici periode Agustus–Oktober 2021 sebanyak 92 data. Tahapan penelitian meliputi pengumpulan data, penentuan variabel X dan Y, eliminasi untuk memperoleh nilai konstanta a dan slope b, serta penerapan persamaan Y = a + bX untuk memperoleh nilai estimasi. Hasil perhitungan menunjukkan nilai a = 720.871,725 dan b = 3,108 sehingga model estimasi mampu menghasilkan proyeksi harga emas yang mendekati pola data historis. Model ini kemudian diimplementasikan ke dalam aplikasi berbasis desktop menggunakan Microsoft Visual Basic 2010 dan basis data Microsoft Access, dilengkapi Crystal Report untuk pencetakan laporan hasil estimasi. Hasil penelitian menunjukkan bahwa algoritma Trend Moment dapat membantu PT Victoeria Vici dalam memperoleh estimasi harga emas secara lebih cepat, konsisten, dan terdokumentasi. Gold is one of the most sought-after commodities for investment purposes, as it is regarded as a safer instrument compared to stocks and has a selling value that constantly fluctuates with market conditions. PT Victoeria Vici, a custom gold jewelry business, faces difficulty in determining the estimated selling price offered to customers because the production process for custom orders takes up to 14 days, while gold prices move in an unstructured and fluctuating manner every day, making manual price estimation inaccurate and ineffective. Based on this problem, this study applies the concept of Data Mining using the Trend Moment algorithm to estimate gold prices over a certain period of time. The data used is historical daily gold price data per gram from PT Victoeria Vici for the period of August–October 2021, consisting of 92 records. The research stages include data collection, determination of the X and Y variables, elimination to obtain the constant value a and the slope b, and the application of the equation Y = a + bX to obtain the estimated value. The calculation results show a value of a = 720,871.725 and b = 3.108, so that the estimation model is able to produce gold price projections that closely follow the pattern of historical data. This model was then implemented into a desktop-based application using Microsoft Visual Basic 2010 and a Microsoft Access database, equipped with Crystal Report for printing estimation result reports. The results show that the Trend Moment algorithm can help PT Victoeria Vici obtain gold price estimations more quickly, consistently, and in a well-documented manner.

SIPAKATAU: SINERGI PANGAN LOKAL DAN AKTIVITAS FISIK UNTUK MENCEGAH PENYAKIT TIDAK MENULAR

Asikin, Hijrah, Sirajuddin, Ihsan, Fitriah
Abstract: Non-communicable diseases (NCDs) remain a major health problem in Biringkanaya District, Makassar City, with high rates of obesity, hypertension, high cholesterol, and metabolic disorders. These problems are influenced by… y an unbalanced diet, low consumption of local foods, and a lack of physical activity. The SIPAKATAU (Synergy of Local Food and Physical Activity) programme was designed to address these issues through nutritional education, my plate demonstrations, physical activity, and the use of locally sourced, easily accessible food to the community. The activities were carried out over a month in Paccerakkang and Berua villages, involving 24 participants, health cadres, and the Paccerakkang community health centre. The intervention included pre-tests, interactive education, hands-on practice, physical activity monitoring, and health checks before and after the activities. The results showed an increase in knowledge from 50% to 75% in the good category, increased implementation of My Plate, and 75% of participants had sufficient physical activity. Health indicators showed improvement, particularly in cholesterol (normal levels increased from 1 to 7 individuals) and uric acid (100% normal). Blood sugar levels showed improvement, while blood pressure and nutritional status required longer-term intervention. The SIPAKATAU programme proved effective in improving community nutrition and health behaviours and is recommended as a model for community-based NCD prevention.

CHARACTER EDUCATION AS A RESPONSE TO THE PHENOMENON OF BULLYING IN THE INDUSTRIAL ERA 4.0 FOR STUDENTS AT SMK TRIDHARMA GORONTALO STATE UNIVERSITY

Ngiu, Zulaecha, Al Hamid, Saleh, Sahi, Yayan
Abstract: Bullying among students is increasingly complex in the era of the Industrial Revolution 4.0, especially in the form of digital bullying that affects students' mental health and character. This service activity aims to provide… ovide character education in response to this phenomenon, so that students are able to build awareness and resilience in facing digital social pressure. The service methods used include interactive lectures, value simulation, and case study-based mentoring. This activity involved 34 students as the main target and 3 resource persons as facilitators The results of the activity showed an increase in participants' understanding of the form and impact of digital bullying, as well as the growth of concern and proactive attitude to create a safe school environment. Participants also showed improved ability to manage emotions, understand the importance of strong character, and not respond to pressure with aggressive actions. Based on these results, it is recommended that character education based on anti-bullying values continue to be strengthened through continuous habituation and training programs, in order to form a resilient and adaptive young generation in the digital era.