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IMPLEMENTASI E-GOVERNMENT DALAM PEMANFAATAN APLIKASI MOBILE PASPOR (M-PASPOR) PADA KANTOR IMIGRASI KELAS II TPI TANJUNG UBAN

Wulandari, Riski Peni, Winarti, Novi, Darmawan, Eki
Abstract: M-Paspor aims to make passport services more transparent, accountable and fast. However, in the process of its application as a public servant, the socialization provided has not been able to fully reach the community. So… o people have to come repeatedly to just ask questions related to the use of the application. This study aims to describe the implementation of e-government in the use of m-paspor applications at the Immigration Office Class II TPI Tanjung Uban. The research method used is a qualitative method with a descriptive approach. The theory used from Harvard JFK School of Government, with several indicators including Support, Capacity and Value. The results showed that the implementation of e-government in the use of m-paspor applications has run in accordance with the objectives but has not been optimal in one of the indicators. In the Support indicator, support in the form of SOP’s and m-paspor policies, direct socialization and through social media as well as supporting infrastructure at the Immigration Office Class II TPI Tanjung Uban is quite good. In the Capacity indicator, the availability of financial resources is intended for socialization needs, the information technology infrastructure in the  service process looks adequate to facilitate the community, but in the process of implementing the application there are still several obstacles, including frequent  application errors, payment codes do not come out, limited quotas and so on, as well as the availability of human resources derived from receiving CPNS selection analysis S1 immigration and has been provided with periodic training by the Directorate General of Immigration. The Value indicator is considered good, because both officers and the public have been able to feel the convenience with the m-paspor application.

EVALUASI APLIKASI ARAHKAN (Ayo Realisasikan Administrasi Harmonis Perikanan) DI UPT PELAYANAN USAHA PERIKANAN KECAMATAN KUNDUR

Muhayat, Asrul, Winarti, Novi, Putra, Ardi
Abstract: The Karimun Regency Government is improving fisheries business services through the Fisheries Service creating an online-based service innovation in the form of the ARAHKAN (Let's Realize Harmonious Fisheries) Application… n in realizing fisheries administration services that are fast, cheap, efficient and transparent. This research discusses matters related to the implementation of fisheries business services using technology and obstacles in application services. The aim of this research is to find out how application-based fisheries business services are at the Fisheries Business Services UPT, Kundur District, Karimun Regency. The method used in this research is a qualitative descriptive method with informants consisting of elements from the Fisheries Service, UPT and the community and using data collection techniques and tools in the form of observation, interviews and documentation. The overall research results of this application have been said to meet expectations based on the following 4 indicators: a) input: human resources, finances, adequate facilities and infrastructure. b). Process: easy procedure, more time and cost efficient. c). Output: service levels increase, such as Kube, fuel recommendations, benefits received by fisheries business actors increase. d). Outcome: fisheries business services are more effective and efficient. However, in terms of the implementation process it cannot be said to have met expectations because there are still obstacles or obstacles such as network problems, the community is not yet technologically independent. Keywords : Services, Policy Evaluation, Electronic Services

ANALISIS TATA KELOLA CAGAR BUDAYA DI KABUPATEN LINGGA

Chahyadi Anugrah, Febry, Winarti , Novi, Riyadi , Sayed Fauzan
Abstract: Cultural Heritage in Lingga Regency is spread in several areas, which requires attention. The Cultural Heritage is managed by the Lingga Regency Cultural Office by involving programs, activities sub-activities and at the… same time coordinating with other related parties to succeed the management of Cultural Heritage in Lingga Regency. The purpose of this study is to analyze the Governance of Cultural Heritage in Lingga Regency using the theory of governance from Widyananda (2008) with four indicators. The method used is qualitative descriptive with 10 informants and uses data collection techniques and tools in the form of observation, interviews, and documentation. The results of the study found that in the management of Cultural Heritage in Lingga Regency that the Cultural Office involved related parties, namely the Cultural Preservation Agency, cultural activists and regional and provincial apparatus organizations to succeed in management, in its management the Lingga Regency Cultural Office encountered problems regarding geographical location, lack of budget and weak human resources owned, knowing this, the Cultural Office carries out policies to overcome these problems by submitting proposals to the National Research and Development Agency for Culture, collaborating with other related agencies and by conducting routine mutual assistance to Cultural Heritage. In the process of Cultural Heritage Governance in Lingga Regency, it can be said that there is less role in technology in the media social sector. Keywords: Lingga Regency, Governance, Cultural Heritage

CORRELATIONS BETWEEN FERRITIN LEVELS AND CREATININE IN PEDIATRIC THALASSEMIA PATIENTS PRODIA CILEGON

Prihatiningsih, Diah Prihatiningsih, Ulfianjani, Ni Komang Ayu Resiyanthi
Abstract: Thalassemia is a blood disorder that is passed down genetically from parents to their children. The body cannot form normal red blood cells resulting in them being damaged easily and having a short life of less than 120… days and anemia, requiring continuous blood transfusions to maintain hemoglobin levels in the body. A history of repeated blood transfusions can cause excess iron in the body which is characterized by an increase in serum ferritin levels which can cause damage to kidney function by looking at creatinine levels. The purpose of this study was to determine whether there is a relationship between ferritin and creatinine levels in children with thalassemia. This study used a quantitative method with a cross sectional approach. The sampling technique used in this study was the total sampling technique. The sample used was 12 samples. Data processing in this study used the Shapiro-Wilk Normality test and the Pearson Correlation test in bivariate analysis. The results of the analysis of this study indicate that there is no significant relationship between the ferritin and creatinine levels in children with thalassemia where the value of Sig. 0.212 > 0.05 (p> 0.05), and shows a significant negative correlation of -0.389. This study in thalassemia children had high ferrtin levels but creatinine levels were still within normal limits.

PENGARUH KEPUASAN, KEPERCAYAAN DAN KEMUDAHAN PENGGUNAAN TERHADAP LOYALITAS PELANGGAN PADA MARKETPLACE SHOPEE DI KECAMATAN MEDAN HELVETIA

Dolok Saribu, Alfriado Leonard Noprian, Dimas, Hesti Sabrina, Hery Syahrial, Haryaji Catur Putera Husman
Abstract: Technology is developing very rapidly and continues to change from year to year. Therefore, the latest digital marketing trends will continue to emerge which are adapted to the conditions and situations of that year, but… there are still some groups of people who do not understand the importance of digital trends, because competition for marketplaces or online shopping sites in Indonesia is currently getting tighter, the competition that is happening is not only from domestic shopping sites but also foreign ones that have entered the domestic market. This research aims to analyze the influence of satisfaction, trust and ease of use on customer loyalty in the Shopee marketplace in Dwikora sub-district, Medan Helvetia sub-district. This type of quantitative research with the independent variables used in this research is satisfaction, trust and ease of use and the dependent variable used is customer loyalty. The population used in this research is all people in Medan Helvetia sub-district. This research took samples using a purposive sampling method and there were 100 respondents who were deemed worthy of being research criteria. The research results show that partially and simultaneously satisfaction, trust and ease of use have a significant positive effect on customer loyalty.

Peramalan Kebutuhan Stok Beras Di Warung Grosir Giran Menggunakan Metode Weighted Moving Average

Alya Nazira Lbs, Amelia Syaputri, Reza Aulia, Siti Zahra Darmayani, Zulfan Efendi
Abstract: Improper rice stock management in wholesale businesses can lead to shortages or overstock that negatively impact operational efficiency. This study aims to forecast rice stock needs at Warung Grosir Giran using the Weighted… ted Moving Average method with a weighting of 1:2:3, based on historical data from January 2025 to June 2026. A quantitative approach with time series forecasting technique was applied. Accuracy was evaluated using Mean Absolute Deviation, Mean Squared Error, and Mean Absolute Percentage Error. The results show that the forecasted rice stock requirement for July 2026 is 1,456.67 kg. The accuracy evaluation yielded a Mean Absolute Deviation of 78.22, Mean Squared Error of 9,288.15, and Mean Absolute Percentage Error of 5.71%, which is classified as highly accurate. In conclusion, the Weighted Moving Average method is suitable as a decision-support tool for rice stock management at Warung Grosir Giran.

Implementasi Algoritma K-Means Clustering untuk Mengelompokkan Siswa Berdasarkan Nilai sebagai Evaluasi Pembelajaran

Jihan Aulia Putri Fahdrina, Eva Lestari, Dila Sari
Abstract: Academic achievement is a measure of students' learning outcomes, encompassing aspects of knowledge and skills. Academic performance serves as a crucial indicator in evaluating students' learning progress. MAS Al-Wasliyah… h Petatal is committed to providing quality education but still faces limitations in applying technology to evaluate student learning. The current evaluation process relies on teachers' subjective assessments, which restricts the information about students' progress. Therefore, the implementation of machine learning is proposed as a solution to enhance objectivity in student learning evaluation through more effective data processing. The method used is the K-Means Clustering algorithm, which can group or classify data based on specific patterns. This study aims to evaluate the extent to which machine learning can process student learning evaluation data through the analysis results obtained from the clustering process, which are then used as benchmarks to improve the evaluation system and provide feedback for students needing improvement in their academic performance. The data used comprises students' grades from the odd semester of the 2024/2025 academic year, with a total of 210 data points. The clustering results produced three clusters: the "good" cluster with 60 students, the "average" cluster with 99 students, and the "low" cluster with 51 students.

Pemanfaatan K-Means Clustering untuk Optimalisasi Penjualan Produk Roti Berdasarkan Data Penjualan Harian

Irwan, Adi Panca Pamungkas, Wiwin Handoko
Abstract: Bread product sales have become an important aspect of the bakery business, influenced by fluctuations in demand that are not easily predictable. Efficient sales management requires a deep understanding of sales patterns.… . This study aims to optimize bread product sales by using the K-Means Clustering algorithm to analyze daily sales performance at Toko Roti Amin. The data used includes sales volume and transaction frequency for bread products, consisting of 356 data points. The results show that the bread products can be grouped into three clusters: 129 data in the “Good Sales” cluster, 28 data in the “Moderate Sales” cluster, and 199 data in the “Low Sales” cluster. These findings assist bakery owners in managing stock, production planning, and more targeted marketing strategies. Although there are limitations in using K-Means Clustering, such as dependence on the initial centroid selection, this study proves that applying this technique can enhance inventory management and maximize profit in the bakery business.

Penerapan Metode K-Means untuk Mengklasifikasikan Penjualan Produk Olahraga Pada Toko Wan Toys & Sport

Marta Riama Uli Aritonang, Mhd. Anugrah Pramana, Putri Anggraini Dwiyanti
Abstract: Technological advances support digital transformation in sales data management. Wan Toys & Sport stores face difficulty understanding sales patterns, such as the highest sales months and most popular products. This research… rch uses the K-Means clustering method with the CRISP-DM approach to group sports products based on their sales level. The analysis results show that this method is able to divide products into three categories: high, medium and low, thus providing strategic insight for stock management and marketing. Products with high sales are prioritized for stock, while products with low sales are targeted for promotion. This method effectively supports operational efficiency and data-based decision making at Wan Toys & Sport stores.  

Penerapan Naive Bayes Untuk Prediksi Penerima BLT di SD Swasta IT ABI Husni

Ayu Wandira, Nadhilla Rahmadani, Ummi Kalsum
Abstract: The development of information technology provides solutions for increasing efficiency and accuracy in decision-making, such as in determining students eligible for BLT at SD Swasta IT ABI Husni. This study aims to implement… ment the Naive Bayes algorithm to support a more objective BLT recipient selection process. The method used is CRISP-DM, starting from understanding the problem, data preparation, to model implementation. The data analyzed included type of residence, KPS recipients, parents' income, KIP recipients, number of siblings, distance from home and reasons for eligibility for BLT used were data from students of SD Swasta IT ABI Husni in the odd semester of 2024/2025, with a total of 137 data. The results of the study showed that the Naive Bayes algorithm was able to achieve an accuracy level of 98% with precision and recall of up to 100%, proving the effectiveness of the model in minimizing classification errors. In conclusion, the use of the Naive Bayes algorithm can help make decisions that are more targeted, transparent, and fair in the distribution of BLT.