Abstract:Article 109 paragraph (2) of Law Number 17 of 2006 concerning Amendments to Law Number 10 of 1995 concerning Customs regulates that means of transport that are solely used to commit criminal acts can be confiscated for the…
he state. Decision Number 102/Pid.Sus/2019/PN.Tbk stated that the means of transporting the MT Yosoa ship were confiscated for the state and in Decision Number 27/Pdt.G/2019/PN.Tbk, the judge ruled that the Tanjung Balai Karimun District Prosecutor's Office Cq. Public Prosecutor had committed an unlawful act. The purpose of the research is to analyze the judge's consideration of the lawsuit for unlawful acts, and the extent of Decision Number 27/PDT. G/2019/PN. Tbk influences the legal interpretation of unlawful acts, as well as the ownership status of MT YOSOA ships that have been decided to be confiscated by the state. This research is a normative juridical research. Data is collected and then analyzed qualitatively. The results of the research show that the judge's decision has weaknesses in legal considerations which results in legal uncertainty and injustice for the parties. In addition, there are inconsistencies in assessing the evidence of ship ownership and elements of unlawful acts, this decision also shows weaknesses in determining liability, due to the lack of parties involved in the lawsuit. It is recommended that the judge be more careful in considering all aspects of the law and exploring the material truth thoroughly. All interested parties must be involved in the lawsuit so that accountability can be clearly established.
Abstract:This study aims to identify the effectiveness of farmer group associations (Gabungan Kelompok Tani) in empowering the farming community in Kampung Jaya Makmur, Kurik District. The research employs a descriptive qualitative…
ve approach. Data were collected through interviews, observations, and documentation. The study analyzes organizational effectiveness based on four indicators: Human Relations (focusing on organizational involvement), Open System Model (adaptation and innovation), Internal Process Model, and Rational Goal Model (productivity and goal achievement). The results show that in Kampung Jaya Makmur, the head of the farmer group association has never conducted socialization or training for farmer groups on how to produce or provide natural fertilizers using locally available materials, despite the uncertainty of continuous fertilizer supply. The effectiveness of farmer group associations in empowering the community is highly needed to support farmers in becoming more independent. Farmer group associations can provide services such as access to technological information and capital, as well as establish partnerships with external parties. This study recommends that farmer group associations strengthen participation and member involvement through more regular deliberation forums and active engagement of all levels of farmers. It also emphasizes the need to enhance the use of technology and alternative agricultural methods, such as organic fertilizers, and to expand training and mentoring programs so that farmers can reduce their dependence on chemical fertilizers.
Keywords: Effectiveness, Farmer Group Associations, Farmer Community Empowerment
Abstract:This study aims to empirically analyze the effect of exchange rates and interest rates on the stock prices of banking companies listed on the Indonesia Stock Exchange during the 2020-2024 period. The research employs a quantitative…
uantitative approach with a causal-associative design and utilizes secondary data obtained from official publications of Bank Indonesia (BI) and the Indonesia Stock Exchange (IDX). The research population consists of 45 banking companies, from which 20 companies meeting the sampling criteria were selected using purposive sampling. Data analysis was conducted comprehensively through descriptive analysis, classical assumption tests, multiple linear regression, and hypothesis testing with the assistance of SPSS software. The findings reveal that, partially, exchange rates have a significant negative effect on stock prices, and interest rates also exert a significant negative effect. Furthermore, simultaneous testing confirms that both independent variables significantly and negatively influence banking stock prices. These results highlight that macroeconomic volatility, particularly exchange rate fluctuations and interest rate movements, are crucial determinants to be considered in capital market analysis. Academically, this study contributes to the literature on the relationship between macroeconomic indicators and stock price dynamics, while practically, the results may serve as a reference for investors in making investment decisions, for policymakers in formulating economic stabilization strategies, and for banking institutions in anticipating market risks arising from both global and domestic economic uncertainty.
Abstract:Stock prices represent the market’s consensus regarding the fair value of a business entity, formed through a rational assessment of both financial and non-financial information. Within the frameworks of signaling theory…
ry and market efficiency, financial ratios serve as fundamental indicators reflecting a company's ability to generate profit, manage assets, and maintain short-term liquidity stability. When the market faces systemic disruptions, such as the COVID-19 pandemic, and transitions toward post-pandemic normalization, investor sensitivity to internal indicators tends to increase due to heightened external uncertainty. Consequently, a deep understanding of the internal determinants of stock prices becomes increasingly critical for data-driven investment decision-making. This study aims to empirically examine the effect of the Current Ratio (CR), Return on Assets (ROA), and Total Asset Turnover (TATO) on stock prices, both partially and simultaneously, in companies listed on the Indonesia Stock Exchange (IDX) during the 2020-2024 period. A quantitative approach was employed, using a descriptive-verificative design and secondary data drawn from audited financial statements and annual closing stock prices. The sample consisted of 91 companies selected through purposive sampling, and the data were analyzed using multiple linear regression with SPSS version 27. The analysis results indicate that all three independent variables have a positive and significant impact on stock prices, both individually and collectively. This study contributes to the capital market literature by highlighting the relevance of financial ratios in explaining stock price fluctuations in the post-pandemic period, a topic that remains underexplored in the context of developing countries.
Abstract:Abstract: Motorcycle sales are one of the key indicators of growth in Indonesia’s automotive industry. CV. Honda Karya Utama, as an authorized Honda motorcycle dealer, faces challenges due to unstable monthly sales fluctuations.…
ctuations. This uncertainty complicates stock planning, marketing strategy formulation, and may lead to potential losses caused by overstocking or understocking. To address these issues, this study aims to analyze the relationship between time and sales volume and to develop a predictive model that can assist management in making more effective business decisions.
The research was conducted using a quantitative method and a machine learning approach by applying a linear regression algorithm, implemented through the Python programming language and a MySQL database. The dataset used consists of monthly sales data over one year, analyzed to predict future sales trends. The results show that the linear regression algorithm can predict sales trends with a good level of accuracy, achieving evaluation values of MAPE 1.72%, MSE 1.76%, and RMSE 0.57. The developed model assists management in formulating marketing strategies, optimizing inventory planning, and minimizing financial risks. Therefore, linear regression can serve as an effective analytical tool to support strategic business decision-making at CV. Honda Karya Utama.
Keywords: motorcycle sales; linear regression; prediction; sales analysis
Abstrak: Penjualan sepeda motor merupakan salah satu indikator penting dalam pertumbuhan industri otomotif di Indonesia. CV. Honda Karya Utama sebagai dealer resmi sepeda motor Honda menghadapi tantangan berupa fluktuasi penjualan yang tidak stabil setiap bulannya. Ketidakpastian ini menyebabkan kesulitan dalam perencanaan stok, penentuan strategi pemasaran, serta berpotensi menimbulkan kerugian akibat kelebihan atau kekurangan persediaan. Untuk mengatasi permasalahan tersebut, penelitian ini bertujuan untuk menganalisis hubungan antara waktu dan jumlah penjualan serta membangun model prediksi yang dapat membantu manajemen dalam pengambilan keputusan bisnis yang lebih efektif. Penelitian dilakukan dengan metode kuantitatif dan pendekatan machine learning menggunakan algoritma regresi linier, dengan implementasi berbasis bahasa pemrograman Python dan basis data MySQL. Data yang digunakan berupa data penjualan bulanan selama satu tahun, yang kemudian dianalisis untuk memprediksi tren penjualan pada periode berikutnya. Hasil penelitian menunjukkan bahwa regresi linier mampu memprediksi tren penjualan dengan tingkat akurasi yang baik, dengan nilai evaluasi MAPE sebesar 1,72%, MSE 1,76%, dan RMSE 0,57. Model ini membantu manajemen dalam menyusun strategi pemasaran, mengoptimalkan perencanaan stok, serta meminimalkan risiko kerugian. Dengan demikian, regresi linier dapat menjadi alat bantu yang efektif dalam mendukung keputusan bisnis di CV. Honda Karya Utama.
Kata kunci: penjualan sepeda motor; regresi linier; prediksi; analisis penjualan
Abstract:Abstract: The rapid pace of digital transformation highlights the need to empower Micro, Small, and Medium Enterprises (MSMEs) in Jayapura City by integrating Artificial Intelligence (AI) into their business strategies.…
This community service initiative aims to assess MSME actors’ initial understanding of AI, deliver targeted training, and evaluate improvements in strategic planning using the Value Proposition Canvas (VPC). The program was conducted in three stages: pre-assessment, training implementation, and post-training evaluation. Initial findings revealed that most participants had limited knowledge of AI and its applications. However, after the training, there was a significant increase in participants’ confidence and capability. The training effectively reduced lack of knowledge by 40%, addressed infrastructure and internet challenges by 45%, and decreased uncertainty regarding AI's return on investment by 30%. Participants began applying tools such as ChatGPT, Canva AI, and the VPC method to better understand customer needs. Although the study was limited by a short evaluation period and a specific geographic focus, it offers valuable insights for policymakers, educators, and development stakeholders. The findings support the importance of accessible, hands-on training in making AI a practical and beneficial resource for small businesses, ultimately promoting inclusive, technology-driven growth.
Keywords: artificial intelligence, business strategy, jayapura, MSME, youth
Abstrak: Transformasi digital yang pesat mendorong perlunya pemberdayaan Usaha Mikro, Kecil, dan Menengah (UMKM) di Kota Jayapura melalui integrasi kecerdasan buatan (AI) dalam strategi bisnis mereka. Program pengabdian masyarakat ini bertujuan untuk menilai pemahaman awal pelaku UMKM terhadap AI, memberikan pelatihan terarah, dan mengevaluasi peningkatan dalam perencanaan strategis menggunakan Value Proposition Canvas (VPC). Kegiatan ini dilaksanakan dalam tiga tahap: pra-asesmen, pelatihan, dan evaluasi pascapelatihan. Hasil awal menunjukkan bahwa mayoritas peserta memiliki pengetahuan terbatas tentang AI dan penerapannya. Namun, pascapelatihan terlihat peningkatan signifikan dalam kepercayaan diri dan kemampuan peserta. Pelatihan berhasil menurunkan tingkat ketidaktahuan sebesar 40%, mengurangi kendala infrastruktur dan internet sebesar 45%, serta menekan keraguan atas keuntungan penggunaan AI sebesar 30%. Peserta mulai memanfaatkan alat seperti ChatGPT, Canva AI, dan metode VPC untuk meningkatkan pemahaman kebutuhan pelanggan. Meski terbatas pada waktu evaluasi yang singkat dan wilayah Jayapura, studi ini memberikan wawasan penting bagi pembuat kebijakan, pendidik, dan pemangku kepentingan untuk mendorong pertumbuhan UMKM berbasis teknologi secara inklusif.
Kata kunci: anak muda, bisnis strategi, jayapura, kecerdasan buatan, UMKM
Abstract:Personal finance skills are one of the important competencies that young people need to have in facing future economic challenges, given the increasingly complex global financial dynamics and the need to be able to manage…
e resources effectively in order to survive and thrive amid economic uncertainty. However, the level of financial literacy among vocational high school (SMK) students is still relatively low, as reflected in the results of the National Survey on Financial Literacy and Inclusion by OJK (2019) which shows that only 38.03% of Indonesians have adequate financial literacy, including among students. Of the 30 samples used by using the method of sharing, discussion, and case studies on each student, many were still found to be unable to manage their finances. This financial training has succeeded in providing a basic understanding of good financial management to students of SMK Negeri 1 Kisaran. Through the material presented, students can apply the knowledge gained in their daily lives, from managing expenses, saving, to planning for the future.
Keywords: financial literacy; financial skills; training vocational high school students
Abstrak: Keterampilan keuangan pribadi merupakan salah satu kompetensi penting yang perlu dimiliki oleh generasi muda dalam menghadapi tantangan ekonomi di masa depan, mengingat semakin kompleksnya dinamika keuangan global dan kebutuhan untuk dapat mengelola sumberdaya secara efektif agar dapat bertahan dan berkembangan di tengah ketidakpastian ekonomi. Namun, tingkat literasi keuangan di kalangan siswa sekolah menengah kejuruan (SMK) masih tergolong rendah, sebagaimana tercermin dalam hasil Survei Nasional Literasi dan Inklusi Keuangan oleh OJK (2019) yang menunjukkan bahwa hanya 38,03% masyarakat Indonesia yang memiliki literasi keuangan yang memadai, termasuk di kalangan pelajar. Kegiatan ini dilakukan oleh team dosen universitas royal dimana sampelnya sebanyak 30 orang yang merupakan siswa Sekolah Menengah Kejurusan Negeri 1 Kisaran dalam penyampaian materi digunakan dengan menggunakan metode sharing, diskusi, dan studi kasus pada masing-masing siswa. Pelatihan keuangan memberikan pemahaman dasar tentang pengelolaan keuangan yang baik kepada siswa SMK Negeri 1 Kisaran. Melalui materi yang disampaikan, siswa dapat menerapkan ilmu yang diperoleh dalam kehidupan sehari-hari, mulai dari mengatur pengeluaran, menabung, hingga merencanakan masa depan.
Kata Kunci: Keterampilan keuangan; literasi keuangan; pelatihan siswa SMK, pengelolaan keuangan pribadi
Abstract:Personal finance skills are one of the important competencies that young people need to have in facing future economic challenges, given the increasingly complex global financial dynamics and the need to be able to manage…
e resources effectively in order to survive and thrive amid economic uncertainty. However, the level of financial literacy among vocational high school (SMK) students is still relatively low, as reflected in the results of the National Survey on Financial Literacy and Inclusion by OJK (2019) which shows that only 38.03% of Indonesians have adequate financial literacy, including among students. Of the 30 samples used by using the method of sharing, discussion, and case studies on each student, many were still found to be unable to manage their finances. This financial training has succeeded in providing a basic understanding of good financial management to students of SMK Negeri 1 Kisaran. Through the material presented, students can apply the knowledge gained in their daily lives, from managing expenses, saving, to planning for the future.
Keywords: financial literacy; financial skills; training vocational high school students
Abstrak: Keterampilan keuangan pribadi merupakan salah satu kompetensi penting yang perlu dimiliki oleh generasi muda dalam menghadapi tantangan ekonomi di masa depan, mengingat semakin kompleksnya dinamika keuangan global dan kebutuhan untuk dapat mengelola sumberdaya secara efektif agar dapat bertahan dan berkembangan di tengah ketidakpastian ekonomi. Namun, tingkat literasi keuangan di kalangan siswa sekolah menengah kejuruan (SMK) masih tergolong rendah, sebagaimana tercermin dalam hasil Survei Nasional Literasi dan Inklusi Keuangan oleh OJK (2019) yang menunjukkan bahwa hanya 38,03% masyarakat Indonesia yang memiliki literasi keuangan yang memadai, termasuk di kalangan pelajar. Kegiatan ini dilakukan oleh team dosen universitas royal dimana sampelnya sebanyak 30 orang yang merupakan siswa Sekolah Menengah Kejurusan Negeri 1 Kisaran dalam penyampaian materi digunakan dengan menggunakan metode sharing, diskusi, dan studi kasus pada masing-masing siswa. Pelatihan keuangan memberikan pemahaman dasar tentang pengelolaan keuangan yang baik kepada siswa SMK Negeri 1 Kisaran. Melalui materi yang disampaikan, siswa dapat menerapkan ilmu yang diperoleh dalam kehidupan sehari-hari, mulai dari mengatur pengeluaran, menabung, hingga merencanakan masa depan.
Kata Kunci: Keterampilan keuangan; literasi keuangan; pelatihan siswa SMK, pengelolaan keuangan pribadi
Abstract:Abstract: The management of veterinary drug stocks at the Veterinary Clinic Technical Implementation Unit (UPTD) of the North Sumatra Province Plantation and Livestock Service faces obstacles in the form of discrepancies…
between supply and demand, resulting in excess stock and budget waste. Uncertain demand for drugs is a factor that complicates decision-making in stock provision. This study aims to optimize drug stock management using the Mamdani fuzzy logic method, which is capable of handling data uncertainty and modeling information linguistically. Three input variables are used, namely initial stock, demand, and number of visits, with the output being the final stock. The process involves fuzzification, inference based on IF–THEN rules, and defuzzification using the centroid method. The results show that the developed system has a good accuracy level with a MAPE value of 17.52%, which means that this model is effective in providing optimal and efficient drug stock recommendations in a veterinary clinic environment.
Keywords: fuzzy mamdani; optimization; animal drug stock.
Abstract:Abstract: In the manufacturing industry, production scheduling become an important aspect that affects operational efficiency and customer satisfaction. The main challenge in scheduling is optimizing the use of resources…
to meet demand by minimizing production costs and time. Suboptimal scheduling can lead to problems such as delays in stocking, stock buildup, and increased operational costs. Thus, a method can to handle the complexity and uncertainty in the production process is needed. The Fuzzy Tahani Model is an approach in decision support systems. this can be used to help companies achieve more efficient and adaptive production scheduling, to consider various variables such as demand, production capacity, and inventory levels. This research aims to develop and implement the model in the context of production scheduling, with the hope of improving operational performance and customer satisfaction. At this time, the proposed Fuzzy Model Tahani technology is in TKT 4, which is the validation stage of technology components in a laboratory environment. The system creates an optimal production schedule based on fuzzy rules and defuzzification results, making it a useful tool for production decisions.
Keywords: fuzzy model tahini; decision support system; production optimization; production scheduling.
Abstrak: Dalam industri manufaktur, penjadwalan produksi adalah aspek penting yang mempengaruhi efisiensi operasional dan kepuasan pelanggan. Tantangan utama dalam penjadwalan adalah mengoptimalkan penggunaan sumber daya untuk memenuhi permintaan dengan meminimalkan biaya dan waktu produksi. Penjadwalan yang tidak optimal dapat menyebabkan masalah seperti keterlambatan pengiriman, penumpukan stok, dan peningkatan biaya operasional. Oleh karena itu, diperlukan suatu metode yang mampu menangani kompleksitas dan ketidakpastian dalam proses produksi. Fuzzy Model Tahani adalah salah satu pendekatan yang dapat digunakan dalam sistem pendukung keputusan untuk membantu perusahaan mencapai penjadwalan produksi yang lebih efisien dan adaptif, dengan mempertimbangkan berbagai variabel seperti permintaan, kapasitas produksi, dan tingkat persediaan. Penelitian ini bertujuan untuk mengembangkan dan mengimplementasikan model tersebut dalam konteks penjadwalan produksi, dengan harapan dapat meningkatkan performa operasional dan kepuasan pelanggan. Pada saat ini, teknologi Fuzzy Model Tahani yang diusulkan berada pada TKT 4, yaitu tahap validasi komponen teknologi dalam lingkungan laboratorium. Sistem ini menciptakan jadwal produksi yang optimal berdasarkan aturan fuzzy dan hasil defuzzifikasi, menjadikannya alat yang berguna untuk pengambilan keputusan produksi.
Kata kunci: fuzzy model tahani; optimasi produksi; penjadwalan produksi; sistem pendukung keputusan.