Abstract:This study aims to analyze the evaluation of public policy and environmental disaster mitigation predictions regarding the cancellation of the strategic glass industry development in Rempang Island. The study employed a…
qualitative approach with a case study design and data collection through systematic literature review. Data analysis was conducted using the interactive model of Miles, Huberman & Saldana (2014). The results show that the Rempang Eco City National Strategic Project (NSP) failed comprehensively due to a procedurally flawed and non-participatory formulation process. Economic valuation research by Trend Asia et al. (2025) found that the average household income of Rempang residents reached IDR 32.77 million per household per month, far exceeding the government’s claim of IDR 3 million, while potential environmental losses reached IDR 109 million per household per month. Based on Dunn’s (2003) six policy evaluation criteria, this policy proved to be ineffective, inefficient, inadequate, inequitable, unresponsive, and inappropriate. President Prabowo Subianto’s decision to exclude Rempang Eco City from the NSP list through Presidential Regulation No. 12 of 2025 was the right step, yet still requires more decisive regulation to provide legal certainty for affected communities.
Abstract:This study examines the effectiveness of in absentia judgments in the recovery of assets from corruption crimes based on Article 38 of the Law on the Eradication of Corruption Crimes. The background of this study is based…
d on the phenomenon of many corruption defendants who are absent from trial, so that the judicial process continues through the in absentia mechanism. However, the effectiveness of such judgments in supporting the recovery of state financial losses remains a problem, especially in the aspects of execution and the return of assets resulting from corruption crimes. This study uses a normative legal method (normative juridical) with a statutory approach and a conceptual approach. The results of the study indicate that normatively, Article 38 of the Anti-Corruption Law provides a valid legal basis for courts to render judgments without the presence of the defendant. However, the effectiveness of such judgments in asset recovery is still not optimal because there are obstacles such as difficulties in tracing assets, transfer of asset ownership, limited coordination among law enforcement institutions, and weak asset tracing mechanisms. In addition, there are also juridical obstacles in the form of the lack of comprehensive technical regulations regarding the execution of assets in in absentia cases. Therefore, strengthening regulations and increasing synergy among law enforcement officers are required so that the objective of recovering state losses can be achieved effectively.
Abstract:The This study is based on the phenomenon of increasing investment losses and FOMO (Fear of Missing Out) in Indonesia, with illegal investment losses amounting to IDR 139 trillion and FOMO among young people rising to 80%…
% by 2024. This trend aligns with the growing number of investors and digital literacy in Indonesia, particularly in Java, which has the highest concentration of investors. The large population of Generations Y and Z in West Java serves as the subject of this research, highlighting the gap between financial literacy (56.10%) and financial inclusion (88.31%). This reinforces the urgency of this study. Information disclosure is considered crucial in reducing information asymmetry and managing risk in investment decision-making. The main objective of this study is to examine the direct and indirect effects of digital literacy, financial literacy, gender, and FOMO on stock investment decisions, as well as to test the role of information disclosure. A quantitative approach is used, with a questionnaire distributed to 443 respondents from Generations Y and Z in West Java, all of whom have investment experience in stocks. The purposive sampling technique was used, and data analysis was conducted using Structural Equation Modeling-Partial Least Squares (SEM-PLS) to test model validity, reliability, and relationships between variables. The results show that digital literacy, financial literacy, gender, and FOMO significantly affect stock investment decisions. Information disclosure mediates the relationship between financial literacy, gender, and FOMO on investment decisions but does not mediate the relationship between digital literacy and investment decisions. Furthermore, information disclosure positively influences stock investment decisions, emphasizing the importance of transparency. This study contributes to the development of a theoretical model that highlights the role of market discipline through information disclosure. Practically, the findings can guide OJK and companies in designing digital-financial literacy programs and improving information transparency to prevent investment fraud and increase investor confidence. The study suggests that investors should enhance their understanding of investment risks and critically assess available information. Limitations include the focus on Generations Y and Z in West Java using purposive sampling, and the exclusion of other factors like education. The self-report quantitative method may lead to bias, and cross-sectional data does not capture changes in investment behavior over time. Future research is recommended to expand the demographic sample, include additional variables, and use a mixed-method approach for more comprehensive results.
Abstract:This study analyzes the challenges of food security and the policy responses of the government in achieving food self-sufficiency in South Sulawesi in 2025. The research aims to identify production-consumption gaps, distribution…
ribution bottlenecks, and the impacts of climate variability and agricultural policies on food availability, accessibility, and affordability. A mixed-methods approach was employed, combining qualitative and quantitative techniques through household surveys, in-depth interviews with farmers and policymakers, field observations, and secondary data from the Central Statistics Agency and the South Sulawesi Agricultural Department.
The results reveal persistent production deficits for rice and soybeans, while corn has reached a surplus, illustrating structural imbalances among staple commodities. Approximately 62% of respondents reported difficulties in transportation and storage due to inadequate infrastructure, contributing to post-harvest losses and unstable food prices. Government programs such as irrigation development, input subsidies, and farmer training have provided partial benefits, yet 57% of farmers indicated irregular access to such support. Moreover, climate shocks such as El Niño continue to depress yields and increase vulnerability among smallholder farmers. Conversely, social capital, manifested in farmer groups and cooperative networks, has played a significant role in sustaining household food availability and resilience.
The findings suggest that food security in South Sulawesi cannot be addressed solely through production increases. A multifaceted strategy is required, emphasizing rural infrastructure development, climate-smart agricultural innovation, institutional and irrigation reform, and community-based mechanisms that strengthen social capital. This integrative approach provides empirical evidence for policy design and contributes to the broader discourse on sustainable food self-sufficiency in Indonesia.
Abstract:Fire incidents continue to be a major concern. Data from the International Association of Fire and Rescue Services (CTIF) in 2022, recorded > 1.3 million fire incidents worldwide each year, causing more than 15,000 deaths…
s and economic losses. Fire disasters are one of the serious threats in various environments, including Correctional Institutions (Lapas). Prisons have a high potential risk of fire due to various factors, such as the use of unsafe electrical equipment, overcrowding, lack of adequate fire fighting facilities and riots that lead to fires. The purpose of the study was to determine the picture of the attitude of preparedness related to fire disaster management among correctional officers at Pohuwato Prison. The type of quantitative descriptive research , the population of all Correctional Officers at Pohuwato Prison recorded in 2024 was 71 people. Sampling used the Non-Probability Sampling method with the Purposive Sampling technique . The technique was chosen based on certain considerations according to the research criteria. A sample of 59 respondents was obtained. The single variable analyzed was related to the attitude of preparedness. Data were collected through questionnaires and analyzed using reliability and normality tests . The results of the study showed a picture of the attitude of preparedness of correctional officers with a sufficient category of 56 respondents (94.9%). It was concluded that the attitude of preparedness of correctional officers was still sufficient and there was a need for counseling or training related to fire disaster management at Pohuwato Prison.
Abstract:The aims of this research are: 1) To determine the social impact of nickel mining on the community in Wonuamorome Village, Puriala District, Konawe Regency. 2) To determine the economic impact of nickel mining on the community…
munity in Wonuamorome Village, Puriala District, Konawe Region? The technique used in selecting informants in this research was purposive sampling. The informants selected were key informants, namely the village head and a community figure, as well as additional informants consisting of two company officials, four employees who lived in Wonua Morome Village, and four community members. So the total informants in this investigation were 12 people, and several key informants came from village officials. The emergence of industrial areas in an area is believed to bring positive and negative factors to the lives of people in that area, such as positive social impacts, namely that industry can provide employment opportunities for local residents. The presence of the business world in Wonua Morome Village opens up employment opportunities for the local community. And the negative social aspect is contact with crocodiles which can cause social conflict. The presence of the business world in Wonua Morome Village has led to land conflicts between immigrants and local residents. The positive economic impact is to increase village cash income. The presence of businesses in Wonua Morome Village increases the village's cash income. Negative economic impacts include industrial waste which is dangerous for the environment and pollutes people's agricultural land, causing losses.
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: Roemah Donat Lezat carries out many sales transactions every day because the prices are affordable and the flavors and toppings are increasingly varied, this affects the supply of raw materials at Roemah Donat…
Lezat In managing raw material inventory, you must ensure sufficient inventory for sales, minimizing the time and costs required. So far, the owner of Roemah Donat Lezat does not have a method for anticipating how much supply of basic ingredients there is and only predicts without clear and precise calculations, therefore, sometimes Roemah Donat Lezat takes too little stock even though customer needs at the time the trend is increasing, causing no fulfilling customer requests and sometimes taking too much stock even though customer demand is decreasing resulting in losses, therefore Roemah Donat Lezat always finds it difficult and confused to estimate stock supplies for the following month To overcome the problems above, the author provides a solution using method comparison forecasting calculations, because it can provide a deeper and more detailed understanding of the advantages, weaknesses and relative performance of the two methods used to achieve a goal or solve a problem The method used is Single Exponential Smoothing, which is forecasting used for the short term or usually only for the next month Single Moving Average is a technique for calculating the average of a number from the latest actual values, updated as new values available for use in forecasting in subsequent periods.
Keywords: single exponential smoothing-single moving average; forecasting; roemah donat lezat; raw materials; inventory
Abstrak: Roemah Donat Lezat setiap harinya banyak melakukan transaksi penjualan karena harga terjangkau dan semakin bervariasi rasa dan topping, hal ini mempengaruhi persediaan bahan baku jika ada di Roemah Donat Lezat Dalam pengelolaan persediaan bahan baku harus memastikan persediaan jika cukup dalam penjualan, meminimalkan waktu dan biaya jika dibutuhkan.Selama ini pemilik Roemah Donat Lezat tidak memiliki metode dalam mengantisipasi seberapa banyak persediaan bahan-bahan pokok dan hanya memprediksi tanpa adanya perhitungan jika jelas dan tepat maka dari itu, terkadang Roemah Donat Lezat terlalu sedikit mengambil stok padahal kebutuhan pelanggan waktu trend itu sedang meningkat menyebabkan tidak terpenuhinya permintaan pelanggan dan kadang-kadang juga cenderung mengambil terlalu banyak stok meskipun permintaan Pelanggan sedang mengalami penurunan sehingga mengalami kerugian, Sehingga Roemah Donat Lezat selalu menghadapi kesulitan dan kebingungan dalam memperkirakan persediaan stok di bulan berikutnya. Solusi dari permasalahan tersebut yaitu dengan memanfaatkan perhitungan peramalan komparasi metode, kita dapat memperoleh pemahaman yang lebih mendalam dan rinci mengenai kelebihan, kekurangan, serta kinerja relatif dari dua metode yang digunakan untuk mencapai suatu tujuan atau menyelesaikan masalah. Metode yang dibandingkan adalah Single Exponential Smoothing dan Single Moving Average.
Kata kunci: single exponential smoothing-single moving average; peramalan; roemah donat lezat; bahan baku; persediaan
Abstract:Abstract: This research focuses on the analysis and design of a cattle disease detection system using the Forward Chaining technique. This system aims to help farmers identify various diseases in cattle quickly and accurately,…
ately, which can ultimately improve livestock health and livestock productivity. In developing this system, the Forward Chaining technique is used as the main inference method. This method was chosen because of its ability to produce conclusions based on available facts in stages, so it is very suitable for expert system applications that require repeated and complex decision-making processes. This research begins with a system requirements analysis that includes identification of common types of cattle diseases, associated symptoms, as well as the knowledge and rules required for the diagnosis process. Next, system design is carried out which includes creating a knowledge base, inference engine, and user interface. The result of this research is a prototype expert system for diagnosing cattle diseases which has been tested and shows satisfactory performance in detecting various cattle diseases based on the symptoms entered. With this system, it is hoped that farmers can more quickly take appropriate action against diseases that attack their livestock, so that they can minimize losses and increase the efficiency of livestock businesses.
Keywords: analysis; expert system; forward chaining; cattle disease; website.
Abstrak: Penelitian ini berfokus pada analisis dan perancangan sistem deteksi penyakit sapi menggunakan teknik Forward Chaining. Sistem ini bertujuan untuk membantu peternak dalam mengidentifikasi berbagai penyakit pada sapi secara cepat dan akurat, yang pada akhirnya dapat meningkatkan kesehatan ternak dan produktivitas peternakan. Dalam pengembangan sistem ini, teknik Forward Chaining digunakan sebagai metode inferensi utama. Metode ini dipilih karena kemampuannya dalam menghasilkan kesimpulan berdasarkan fakta-fakta yang tersedia secara bertahap, sehingga sangat cocok untuk aplikasi sistem pakar yang memerlukan proses pengambilan keputusan berulang dan kompleks. Penelitian ini dimulai dengan analisis kebutuhan sistem yang mencakup identifikasi jenis-jenis penyakit sapi yang umum, gejala-gejala yang terkait, serta pengetahuan dan aturan yang diperlukan untuk proses deteksi. Selanjutnya, dilakukan perancangan sistem yang mencakup pembuatan basis pengetahuan, mesin inferensi, dan antarmuka pengguna. Hasil dari penelitian ini adalah sebuah prototipe sistem pakar deteksi penyakit sapi yang telah diuji dan menunjukkan kinerja yang memuaskan dalam mendeteksi berbagai penyakit sapi berdasarkan gejala-gejala yang dimasukkan. Dengan sistem ini, diharapkan peternak dapat lebih cepat dalam mengambil tindakan yang tepat terhadap penyakit yang menyerang ternaknya, sehingga dapat meminimalisir kerugian dan meningkatkan efisiensi usaha peternakan.
Kata kunci: analisis; sistem pakar; forward chaining; penyakit sapi; website
Abstract:Abstract: Technological progress and development is increasingly rapid and rapid and cannot be avoided in life. Every innovation is created to bring positive benefits to human life. Ritz Cafe Kisaran is a well-known restaurant…
aurant and has been established for a long time in Asahan district, but this restaurant does not yet have a computerized raw material inventory management system. The aim of this research is to create a non-perishable food inventory management system using the Supply Chain Management model so that the operational function of raw material inventory management in restaurants becomes more effective, efficient and structured. The research method used in this research is a descriptive method with a qualitative approach and uses data analysis and uses a Supply Chain Management model including planning, procurement, production, warehouse management, order delivery and order returns. The result of this research is a web-based non-perishable food inventory management system that can manage raw material inventory, minimize the occurrence of ordering errors, raw material stock information can be processed automatically, as well as all existing processes in a The restaurant will be well integrated and useful in anticipating errors and losses for Ritz Cafe Kisaran.
Keywords: inventory; non perishable food; supply chain management; xampp
Abstrak: Kemajuan dan perkembangan teknologi semakin cepat dan pesat serta tidak dapat dihindari dalam kehidupan. Setiap inovasi diciptakan untuk membawa manfaat positif bagi kehidupan manusia. Ritz Cafe Kisaran merupakan salah satu restoran terkenal dan sudah lama berdiri di kabupaten Asahan namun restoran ini belum mempunyai sistem pengelolaan persediaan bahan baku yang terkomputerisasi. Tujuan pada penelitian ini yaitu untuk membuat suatu sistem pengelolaan persediaan bahan baku yang tidak mudah rusak (non perishable food) dengan menggunakan model Supply Chain Management agar fungsi operasional pengelolaan persediaan bahan baku di restoran menjadi lebih efektif, efesien dan terstruktur. Metode penelitian yang digunakan dalam penelitian ini adalah metode deskriptif dengan pendekatan kualitatif dan menggunakan analisis data serta menggunakan model Supply Chain Management meliputi perencanaan, pengadaan (procurement), produksi, pengelolaan gudang, pengiriman pesanan, dan pengembalian pesanan. Hasil dari penelitian ini adalah sebuah sistem pengelolaan persediaan bahan baku yang tidak mudah rusak (non perishable food) berbasis web yang dapat mengelola persediaan bahan baku, meminimalkan terjadinya kesalahan pemesanan, informasi stok bahan baku dapat diolah secara otomatis, serta seluruh proses yang ada di sebuah restoran akan terintegrasi dengan baik serta bermanfaat dalam mengantisipasi kesalahan dan juga kerugian bagi Ritz Cafe Kisaran.
Kata Kunci: persediaan; bahan baku tidak mudah rusak; manajemen rantai pasok; xampp