Abstract:Everbright has become one of the distributing companies selling various products, one of which is the Dettol product. In optimizing the stock and marketing of Dettol products, the company faces difficulties in identifying…
g the best-selling products and those less favored by customers. This research data originates from the sales transaction data of Dettol soap in November, comprising 77 sales data. Through the use of data mining, particularly the K-means Clustering method, it becomes a relevant approach to solving this issue. The objective of this research is to avoid excess inventory that remains unsold while meeting the diverse needs of customers. The results of this study show the visualization of the distribution of Dettol soap product clusters and grouping based on sales levels. There were 21 best-selling item data, 31 well-selling item data, and 25 less popular item data, enabling the company to manage inventory based on the best-selling items.
Abstract:This study was motivated by the low level of professional competence among elementary school teachers despite the fact that most teachers have obtained certification and adequate academic qualifications. Curriculum changes,…
es, advances in educational technology, and the demands of 21st-century learning require teachers to possess adaptive, reflective, and collaborative professional competencies. The research problem focused on the influence of reflective practice and best practice on the professional competence of teachers at A-accredited public elementary schools in Cilegon City. The study employed a quantitative approach with a causal-comparative design involving 105 teachers selected through proportionate stratified random sampling. Data were collected using Likert-scale questionnaires and analyzed through multiple linear regression using EViews 12. The results revealed that reflective practice had a positive and significant effect on teachers’ professional competence, with a t-value of 4.697 and a significance value of 0.000. Best practice also demonstrated a positive and significant effect, with a t-value of 5.065 and a significance value of 0.000. Simultaneous testing indicated that reflective practice and best practice jointly had a significant effect on teachers’ professional competence, with an F-value of 43.72 and a coefficient of determination of 52.2%. The findings confirm that reflective and collaborative cultures are capable of improving teachers’ professional quality continuously through learning evaluation, sharing teaching experiences, and developing innovative instructional strategies. The novelty of this study lies in the simultaneous examination of reflective practice and best practice through a quantitative approach within the context of A-accredited public elementary schools in Cilegon City. The findings also demonstrate that best practice exerts a greater influence than reflective practice on the professional competence of elementary school teachers.
Abstract:Panglipuran Village, Bali, is one of the traditional tourism villages with significant potential to support the economic independence of local communities. However, community empowerment in this village faces various challenges,…
llenges, such as limited resources, a lack of community capacity in management, and dependence on external parties. This study aims to analyze community empowerment based on local participation through the management of the tourism village, using the community empowerment theory proposed by Jim Ife. The study emphasizes the importance of resource, opportunity, knowledge, and skill indicators in supporting the success of community empowerment. This research employs a qualitative descriptive method, collecting data through in-depth interviews, field observations, and documentation. The primary informants of the study include community leaders, local business actors, and tourism village managers. The findings reveal that empowerment through resource indicators has increased the income of craft businesses by 150%, from IDR 2 million to IDR 5 million per month. Furthermore, the opportunity indicator successfully opened avenues for the community to manage homestays, increasing income by up to 70% compared to previous levels. The knowledge and skill indicators also proved significant, with more than 90% of the community actively participating in training, which supports the sustainable economy of the tourism village. The conclusion of this study highlights that community empowerment based on local participation has a positive impact on the economic independence of the Panglipuran Village community. The novelty of this research lies in the integration of community empowerment elements with local wisdom values, such as mutual cooperation and cultural preservation. This model contributes not only to economic development but also serves as a best practice example in sustainable local participation-based tourism village management.
Abstract:East Java Province is a region with significant economic contribution in Indonesia, occupying the third position nationally with a contribution of 14.26%. However, despite its rapid economic growth, East Java still faces…
welfare challenges, especially in terms of poverty which is still relatively high compared to other provinces on the island of Java. The poverty rate in East Java is on a downward trend, but it still remains above the national average. This condition indicates an imbalance in the welfare of the community in the East Java region. Welfare is measured based on the ability of the community to meet decent, healthy, and productive basic needs, with the Human Development Index (HDI) as one of the main indicators. HDI can measure human development achievements based on several basic components of quality of life, including the education dimension, the age and health dimension, and the standard of decent living. Therefore, the government needs to group regions with appropriate characteristics to make it easier to make policies. One of the statistical analyses that can be used in this study is cluster analysis. The results of this study are that East Java Province in 2023 shows a diversity of welfare indicators, such as TPT, HDI, and AHH, reflecting differences in economic, educational, and health conditions between regions. The cluster method with the best assessment in this study is the K-Means method with five clusters. The characteristics in clusters I and II tend to have low welfare, while clusters III, IV, and V show better welfare. The results of this study show a change in the number of clusters compared to previous research conducted by Muhammad Fikry Al Farizi et al. in 2022. The previous study produced four clusters using the average linkage method.
Abstract:Consumers who travel frequently (high mobility) use a lot of aviation services, so the aviation business is of interest to many business people. Travel agents are also aggressively providing cheap ticket promotions to attract…
tract consumer interest. This creates tough competition between airlines in terms of reasonable prices, best facilities and gaining customer trust. This research aims to determine the influence of Price Fairness, Service Quality, and Trust on Customer Satisfaction of LCC airlines in Indonesia. The research objects of this research are online media libraries, Google Scholar, Semantic Scholar, Elsevier, Zotero and other online journal media. The method used is a literature study, which collects data sources related to the research topic. The literature study aims to explain the main content based on the information obtained. The research results show that Price Fairness, Service Quality, and Trust all have a significant influence on Customer Satisfaction for LCC airlines in Indonesia.
Abstract:This article is about a literature review regarding good leadership models in Islam as seen from the experience of the merger of 3 (three) Sharia Banks in Indonesia to become Bank Syariah Indonesia (BSI), which is currently…
tly approximately three years old and the Indonesian Sharia banking market until compete and occupy the position as a sharia bank with the most significant asset position compared to 6 (six) other conventional banks which have dominated the Indonesian market for decades. The type of data used in this research is qualitative data, with the data source coming from secondary sources and the data collection technique used being a documentation technique through literature review using the Systematic Literature Review (SLR) data analysis technique by utilizing the Published or Perish (POP) metadata tool and VOS Viewer. The research method used is a qualitative method, with research results showing that the leadership model of Bank Syariah Indonesia has accommodated the best leadership criteria in Islam, which can be adaptive, fast response, and solutions while still implementing the traits and characteristics of leaders who are sincere, trustworthy, Katonah, and tabligh. This leadership character was demonstrated by leading the previous three large banks into one with one vision, mission, and work culture, as well as the synergy of all human resources that supported joint achievements to success in the three years of its existence.
Abstract:Mango Gadung Clonal 21 (Mangifera indica L.) is the result of crossbreeding between Gadung Mango and Arumanis, acknowledged as a native fruit of Pasuruan Regency. However, the sales of this fruit decline during the peak…
harvest season, causing difficulties for farmers in processing ripe fruit. Therefore, technology is needed to enhance shelf life and create innovative products using Mango Gadung Clonal 21 (Mangifera indica L.) as the base ingredient, with the addition of antioxidants from red dragon fruit peel. The aim of this research is to assess the physicochemical and organoleptic characteristics and identify the best combination of adding dextrin and red dragon fruit peel to Mango Gadung Clonal 21 (Mangifera indica L.) powder. This study employed a randomized block design with two main factors: the addition of red dragon fruit peel extract (M) with 2 levels (15 grams and 20 grams) and the addition of dextrin (D) with 3 levels (15 grams, 20 grams, and 25 grams). The study was repeated three times, resulting in a total of 18 treatments. Analysis encompassed antioxidant activity, water content, solubility, as well as organoleptic evaluations of color, aroma, taste, and texture. The best results were observed in the M1D3 treatment (15 grams of red dragon fruit peel and 25 grams of dextrin), with an antioxidant activity of 58.96 mg/ml, water content of 9.15%, solubility of 79.31%, color rating of 3.56 (liked), taste rating of 3.8 (liked), aroma rating of 3.04 (somewhat liked), and texture rating of 3.76 (liked).
Keywords: Antioxidant, Clonal 21 gadung mango, Dextrin, Red dragon fruit skin
Abstract:Abstract: This study aims to classify the nutritional status of toddlers based on anthropometric data using the K-Nearest Neighbor (KNN) algorithm. Data were obtained from 20 Integrated Health Posts (Posyandu) in Rumbai…
Timur District, including Lembah Sari Village and Limbungan Village with a total of 1,000 toddler data. After cleaning and preprocessing, 782 data were obtained ready for use. The preprocessing stages include data cleaning and transformation, outlier removal, minority class handling, and data normalization. Next, data balancing was carried out using the Synthetic Minority Oversampling Technique (SMOTE) to address class imbalance. The data was divided into 80% training data and 20% test data, then the K parameter was tested from 1 to 15 using 5-fold cross-validation. The results showed that the value of K = 1 provided the best performance with a macro recall of 0.8827 and an accuracy of 86.26%. These results indicate that the combination of the KNN algorithm with the SMOTE method and Min-Max normalization is effective in improving classification performance on imbalanced data and producing accurate and balanced predictions of toddler nutritional status between classes.
Keywords: k-nearest neighbor; toddler nutritional status; SMOTE; min-max scaling; classification; anthropometric data
Abstrak: Penelitian ini bertujuan untuk mengklasifikasikan status gizi balita berdasarkan data antropometri menggunakan algoritma K-Nearest Neighbor (KNN). Data diperoleh dari 20 Posyandu di Kecamatan Rumbai Timur, meliputi Kelurahan Lembah Sari dan Kelurahan Limbungan dengan total 1.000 data balita. Setelah melalui proses cleaning dan preprocessing, diperoleh 782 data yang siap digunakan. Tahapan pra-pemrosesan meliputi pembersihan dan transformasi data, penghapusan outlier, penanganan kelas minoritas, serta normalisasi data. Selanjutnya dilakukan penyeimbangan data menggunakan Synthetic Minority Oversampling Technique (SMOTE) untuk mengatasi ketidakseimbangan kelas. Data dibagi menjadi 80% data latih dan 20% data uji, kemudian dilakukan pengujian parameter K dari 1 hingga 15 menggunakan 5-fold cross-validation. Hasil penelitian menunjukkan bahwa nilai K = 1 memberikan performa terbaik dengan recall macro sebesar 0,8827 dan akurasi 86,26%. Hasil ini menunjukkan bahwa kombinasi algoritma KNN dengan metode SMOTE dan normalisasi Min-Max efektif dalam meningkatkan kinerja klasifikasi pada data tidak seimbang serta menghasilkan prediksi status gizi balita yang akurat dan seimbang antar kelas.
Kata kunci: k-nearest neighbor; status gizi balita; SMOTE; min-max scaling; klasifikasi; data antropometri
Abstract:Abstract: The development of information technology has brought significant transformation in the field of education, particularly in academic decision-making. This study aims to develop a Decision Support System (DSS) based…
ased on the PROMETHEE method (Preference Ranking Organization Method for Enrichment Evaluation) to assist prospective students in objectively and systematically selecting the best university in Asahan Regency. The main issue addressed is the lack of integrated information regarding the strengths of each educational institution, as well as the absence of a recommendation system that considers various important criteria such as accreditation, facilities, tuition fees, achievements, and study programs. This research uses a quantitative approach with data collection techniques including observation, interviews, questionnaires, and documentation. The implementation results of the PROMETHEE method show that Royal University achieved the highest ranking, followed by Asahan University and STIKES As Syifa Kisaran. This method has proven effective in producing rational and transparent campus rankings based on multi-criteria preferences. The findings are expected to serve as a reference for prospective students and educational institutions in improving the quality and competitiveness of higher education in the Asahan region.
Keywords: decision support system promethea; campus selection; multi-criteria; asahan.
Abstrak: Perkembangan teknologi informasi telah membawa transformasi signifikan dalam dunia pendidikan, khususnya dalam pengambilan keputusan akademik. Penelitian ini bertujuan untuk membangun sistem pendukung keputusan (SPK) berbasis metode PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluation) guna membantu calon mahasiswa dalam memilih kampus terbaik di Kabupaten Asahan secara objektif dan terstruktur. Permasalahan yang diangkat adalah kurangnya informasi terintegrasi mengenai keunggulan masing-masing institusi pendidikan serta belum tersedianya sistem rekomendasi yang mempertimbangkan berbagai kriteria penting seperti akreditasi, fasilitas, biaya pendidikan, prestasi, dan program studi. Penelitian ini menggunakan pendekatan kuantitatif dengan teknik pengumpulan data melalui observasi, wawancara, kuesioner, dan dokumentasi. Hasil implementasi metode PROMETHEE menunjukkan bahwa Universitas Royal memperoleh peringkat tertinggi diikuti oleh Universitas Asahan dan STIKES As Syifa Kisaran. Metode ini terbukti mampu menghasilkan peringkat kampus secara rasional dan transparan berdasarkan preferensi multikriteria. Temuan ini diharapkan dapat menjadi acuan bagi calon mahasiswa dan pihak institusi dalam meningkatkan kualitas dan daya saing perguruan tinggi di wilayah Asahan.
Kata kunci: sistem pendukung keputusa; promethee; pemilihan kampus; multi kriteria; asahan
Abstract:Abstract: In a competitive digital era, business owners such as Alya Collection face challenges in determining the right fashion products to offer to consumers. Relying on intuition without data support often results in…
inaccurate and potentially detrimental decisions. This study aims to assist the sales decision-making process by applying a data mining method using the K-Means Clustering algorithm. This method was used to group sales data from February 2024 to January 2025 into three categories: best-selling, least-selling, and non-selling products. The study was conducted using a quantitative approach, through sales data collection and direct interviews with store owners. The system was built using the PHP programming language and MySQL database, and designed with tools such as UML, DFD, and ERD. The results of this clustering system are expected to provide strategic information useful for Alya Collection in planning stock, promotions, and product development, thereby increasing sales effectively and efficiently.
Keywords: data mining; k-means; sales; alya collection; information system
Abstrak: Dalam era digital yang kompetitif, pemilik usaha seperti Alya Collection menghadapi tantangan dalam menentukan produk fashion yang tepat untuk ditawarkan kepada konsumen. Ketergantungan pada intuisi tanpa dukungan data seringkali mengakibatkan keputusan yang kurang akurat dan berisiko merugikan. Penelitian ini bertujuan untuk membantu proses pengambilan keputusan penjualan dengan menerapkan metode data mining menggunakan algoritma K-Means Clustering. Metode ini digunakan untuk mengelompokkan data penjualan dari Februari 2024 hingga Januari 2025 ke dalam tiga kategori: produk terlaris, kurang laris, dan tidak laris. Penelitian dilakukan dengan pendekatan kuantitatif, melalui pengumpulan data penjualan serta wawancara langsung dengan pemilik toko. Sistem yang dibangun menggunakan bahasa pemrograman PHP dan database MySQL, serta dirancang dengan alat bantu seperti UML, DFD, dan ERD. Hasil dari sistem klasterisasi ini diharapkan dapat memberikan informasi strategis yang berguna bagi Alya Collection dalam merencanakan stok, promosi, serta pengembangan produk, sehingga mampu meningkatkan penjualan secara efektif dan efisien.
Kata kunci: data mining; k-means clustering; penjualan; alya collection; sistem informasi