Universitas Merdeka Madiun

The expansion of digital technologies has profoundly altered how organizations function, make decisions, and deliver value. As digital transformation becomes a defining characteristic of modern business environments, leaders must be equipped to guide their organizations through continuous change while maintaining stability and effectiveness. This article examines how leadership preparation and structured change management can support organizations in adapting to digital disruption. Using a qualitative synthesis of academic literature and a contextual case study from Gojek Indonesia, the study reviews theories related to digital leadership, organizational readiness, and formal change frameworks. Recent studies highlight that digital leadership and transformation are deeply interlinked, and that leadership behavior strongly shapes organizational agility and innovation capacity. The findings indicate that successful digital transformation depends on leaders’ ability to foster adaptable mindsets, encourage collaboration, and support cultures willing to experiment and learn. Beyond technology deployment, digital change requires clear communication, capacity development, and alignment across all levels of the organization. The implications emphasize the need for strategic leadership development, competency strengthening, and deliberate interventions to ensure long-term resilience in the digital era.

This study aims to examine the effect of Good Corporate Governance (GCG) mechanisms and profitability on company value, with GCG as a structurally measured governance mechanism and profitability as the main indicator of financial performance. Unlike the normative approach, which assumes that GCG structures automatically increase company value, this study treats GCG as a formal mechanism whose effectiveness needs to be tested empirically. The research sample consists of companies in the food and beverage sub-sector listed on the IDX during the 2022–2024 period, resulting in 222 observations. Company value is proxied using Tobin's Q, while GCG mechanisms are measured through the number of board members, independent commissioners, directors, and audit committees. Profitability is proxied by Return on Assets (ROA). The analysis was conducted using multiple linear regression to test the associative relationship. The results show that profitability has a significant positive effect on company value, while most structural GCG mechanisms do not show a consistent positive effect, and some even show a negative relationship. These findings indicate that the formal structure of GCG has limitations in explaining company value, and that the market responds more to financial performance than to normative assumptions about the effectiveness of governance

This study examines the influence of customer experience, brand trust, and brand awareness on purchasing decisions for Skintific beauty products in Madiun City. The aim is to determine how these three variables influence consumer purchasing decisions. The method used is quantitative with data collection through questionnaires completed by 100 respondents who use Skintific products, taken using a simple random sampling technique using the Slovin formula. Data analysis was carried out through classical assumption tests, multiple linear regression, coefficient of determination, and hypothesis testing. The results show that customer experience, brand trust, and brand awareness partially and simultaneously have a significant influence on purchasing decisions for Skintific products in Madiun City. The implications of this study emphasize the importance of companies in paying attention to customer experience, building brand trust, and increasing brand awareness to improve consumer purchasing decisions and maintain product competitiveness in the beauty market. Marketing strategies that integrate these three aspects can strengthen Skintific's position in the competitive beauty industry.

Urban agriculture programs have increasingly been promoted as strategic public initiatives to address food security, environmental sustainability, and community resilience in urban areas. However, the sustainability of such participatory public programs depends not only on technical performance but also on the level of trust citizens place in public institutions. This study aims to examine the role of personal factors, physical evidence, and process in shaping customer value and customer trust within urban agriculture public programs in Indonesia. Drawing on service marketing and public governance perspectives, this study positions customer value as an intervening variable that mediates the relationship between service attributes and customer trust. A quantitative explanatory approach was employed using a cross-sectional survey of participants involved in government-supported urban agriculture programs. Data were analyzed using covariance-based Structural Equation Modeling (SEM) with LISREL. The results indicate that process quality and personal factors have significant positive effects on customer value, while physical evidence shows a relatively weaker influence. Furthermore, customer value demonstrates a very strong effect on customer trust, confirming its central role as a key psychological mechanism in trust formation. The findings suggest that public trust is primarily driven by citizens’ value experiences rather than by institutional attributes alone. This study contributes to the theoretical integration of customer value theory into public sector governance and provides practical insights for designing public programs that prioritize procedural quality and human interaction to strengthen long-term public trust. Keywords: Urban Agriculture; Customer Value; Public Trust; Public Service Quality.

Stunting merupakan masalah gizi kronis pada balita yang masih menjadi tantangan kesehatan masyarakat di Indonesia, termasuk di Provinsi Jambi. Kondisi stunting mencerminkan kegagalan pertumbuhan akibat kekurangan gizi dalam jangka panjang serta dipengaruhi oleh berbagai faktor sosial, ekonomi, dan lingkungan. Penelitian ini bertujuan untuk memodelkan pola spasial stunting balita di Provinsi Jambi menggunakan pendekatan Bayesian dengan model Conditional Autoregressive (CAR) Leroux, sehingga dapat mengidentifikasi wilayah dengan risiko stunting yang relatif tinggi dan rendah secara lebih akurat. Data yang digunakan merupakan data sekunder tahun 2024 yang mencakup jumlah balita usia 0–59 bulan dan jumlah kasus stunting pada 11 kabupaten/kota di Provinsi Jambi, serta beberapa kovariat penjelas, yaitu persentase penduduk miskin, cakupan pemberian ASI eksklusif, dan persentase balita dengan status gizi kurang. Jumlah kasus stunting dimodelkan menggunakan distribusi Poisson dengan memasukkan efek spasial terstruktur untuk menangkap ketergantungan antarwilayah yang bertetangga. Hasil uji Moran’s I menunjukkan adanya autokorelasi spasial positif yang signifikan, yang mengindikasikan bahwa wilayah yang berdekatan cenderung memiliki karakteristik kasus stunting yang serupa. Pemilihan model terbaik berdasarkan kriteria Deviance Information Criterion (DIC) dan Watanabe-Akaike Information Criterion (WAIC) menunjukkan bahwa model CAR Leroux dengan hyperprior IG (0,1; 0,1) memberikan kinerja terbaik dibandingkan model alternatif. Estimasi risiko relatif menunjukkan bahwa Kabupaten Tanjung Jabung Barat, Tanjung Jabung Timur, dan Muaro Jambi memiliki risiko stunting balita yang lebih tinggi dibandingkan rata-rata provinsi, sedangkan Kota Jambi dan Kota Sungai Penuh memiliki risiko yang lebih rendah. Hasil penelitian ini diharapkan dapat menjadi dasar bagi pemerintah daerah dalam menentukan wilayah prioritas intervensi guna mendukung percepatan penurunan stunting pembangunan berkelanjutan

The Petri net model can be used to represent the discrete state behavior structure of traffic light signals. The Petri net model is also capable of presenting three-phase traffic light scheduling synchronization. This study aims to examine the three-phase traffic light Petri net model that implements the Norwegian system. The Petri net model must pass validation and verification tests, including the use of several Place-Invariants, its boundedness property, conservation, coverability for all states, and simulation. The study results indicate that the model complies with all Place-Invariants, meets all required properties, and the simulation is also accurate. Place-Invariants in each phase must include a dummy. The three-phase traffic light Petri net model with the Norwegian system has a conservation number that applies to the model as a whole. The conservation number is an extension of Place-Invariant that only applies partially to the model.

Tujuan penelitian ini adalah untuk mengkaji bagaimana pendapatan UMKM di Kota Madiun terdampak oleh literasi keuangan digital dan seberapa mudah penggunaan sistem QRIS. Sistem pembayaran online yang cepat, mudah, dan aman seperti QRIS semakin populer di kalangan pelaku usaha mikro, kecil, dan menengah (UMKM) seiring dengan kemajuan teknologi keuangan. Namun kemampuan pelaku usaha dalam memahami dan mengelola layanan keuangan digital sangat mempengaruhi tingkat adopsi teknologi ini. Tim peneliti menggunakan pendekatan kuantitatif dengan mensurvei 99 pelaku UMKM pengguna QRIS di sektor perdagangan. Beberapa uji regresi linier, uji reliabilitas dan validitas, serta koefisien determinasi digunakan untuk menganalisis data. Ditemukan adanya dampak positif namun tidak signifikan secara statistik dari literasi keuangan digital terhadap pendapatan UMKM. Kemudahan penggunaan sistem QRIS juga memiliki dampak positif yang serupa, namun dampaknya dapat diabaikan. Pada saat yang sama, tidak ada satu pun variabel yang dapat menyebabkan lebih dari 1,11–3,1 persen keragaman pendapatan UMKM; sisanya dipengaruhi oleh faktor-faktor yang tidak tercakup dalam penelitian ini. Hasil seperti ini menunjukkan bahwa faktor-faktor seperti kualitas produk, taktik pemasaran, dan perilaku konsumen memiliki dampak yang lebih besar terhadap pertumbuhan pendapatan usaha mikro, kecil, dan menengah (UMKM) dibandingkan faktor-faktor seperti literasi keuangan dan kenyamanan sistem pembayaran digital.

Intrusion and trespasser detection on railway tracks is a crucial safety measure to prevent accidents and maintain operational reliability. This study proposes a hybrid vision-based approach that integrates YOLOv8n, a lightweight real-time object detection model, with the Canny edge detection algorithm to identify and classify unauthorized objects and individuals on railway tracks. In this context, intrusions refer to inanimate objects such as rocks, fallen trees, or construction materials obstructing the tracks, whereas trespassers refer to humans or other living beings engaging in unauthorized activities near or on the railway line. YOLOv8n is employed as a single-stage detector to localize and classify objects, while Canny edge detection is applied to enhance object contours and improve shape-based differentiation between intrusion and trespasser categories. Experimental results show an average accuracy of 52.37%, indicating moderate detection performance. Although the accuracy remains limited, the findings demonstrate the potential of combining deep learning and traditional image processing techniques to develop an automated monitoring system that supports railway safety and surveillance applications. Further optimization of the dataset, model tuning, and feature enhancement are recommended to improve detection performance.

Passive cooling technologies continue to be developed to provide a cooling effect without external energy input. One example is radiative cooling paint (RCP). RCP dissipates heat by emitting thermal radiation and reflecting solar irradiation, thereby reducing the temperature of the coated object. The temperature reduction performance of RCP is influenced by the substrate on which it is applied. Previous studies have generally not included substrates with potential applications for RCP, such as building roofs. This study aimed to evaluate the temperature reduction performance of RCP when applied to different roofing materials. RCP samples were prepared using barium sulfate pigment and applied to corrugated metal roofing, clay roof tiles, and stone-coated metal roofing, then tested under direct sunlight. The results showed that applying RCP reduced the average temperature by 6 °C (13.1%) on corrugated metal roofing, 6.4 °C (13.3%) on clay roof tiles, and 14.1 °C (24.7%) on stone-coated metal roofing.

Background: Stunting refers to a child's height that is not appropriate for their age. In 2021, the stunting rate in Indonesia was 24.4%, while in 2022, it was recorded at 21.6%. Although stunting cases have declined, the rate remains relatively high, prompting the government to target a 14% reduction by 2024. The government has adopted several strategies, including ensuring adequate nutrition, mainly focusing on protein intake. Providing complementary foods to children is an effective way. ‘Isi Piringku’ promotes a balanced diet consisting of 50% fruit and vegetables and 50% carbohydrates and protein, especially animal protein. The aim of this activity is to increase mothers' understanding of the programme and encourage them to serve meals containing animal proteinCommunity service partners: The community service was conducted at the Al Hasanah PAUD in Magetan Regency, where two cases of stunting in children were identified, and participants' understanding of the Isi Piringku Program was still limited. The community service program was conducted on January 10, 2025.Methods: by providing information on stunting to 20 participants of the integrated health service post. Before and after the information session, a pre-test and post-test were conducted to assess the participants' understanding of stunting.Result: Following the information session, participants' understanding of stunting improved, as evidenced by the post-test results, which showed that almost all participants were able to answer all questions.Conclusion: Good knowledge can change behaviour in consuming animal protein in an effort to prevent stunting.