Abstract:Dyslexia is a neurodevelopmental disorder that specifically affects an individual's ability to process phonological and orthographic information, thereby hindering the development of basic literacy skills. In inclusive education…
ducation systems at the elementary level, these limitations are often not addressed through pedagogical approaches that align with the neurocognitive needs of learners. The problem addressed in this study is the effectiveness of the multisensory learning approach in improving the reading skills of children with dyslexia in inclusive elementary education settings. This research was conducted through a systematic literature review using a descriptive qualitative approach, drawing upon scholarly sources published in nationally and internationally accredited journals over the past decade. Thematic analysis was employed to identify consistent empirical findings related to multisensory interventions. The results show that the multisensory approach (which simultaneously engages visual, auditory, kinesthetic, and tactile modalities) has been proven to enhance phonological decoding, word recognition accuracy, reading fluency, and learning affectivity in children with dyslexia. Its effectiveness is highly influenced by the duration and intensity of the intervention, educators' competence in designing multisensory activities, and the suitability of materials to individual sensory profiles. The conclusion of this review asserts that the multisensory approach is not merely a remedial strategy, but a neuroeducation-based pedagogical framework that is inclusive and transformative. The novelty of this research lies in its integrative emphasis on the multisensory approach and principles of educational neuropsychology as the foundation for developing learning models that are responsive to the needs of neurodivergent learners in the context of inclusive elementary education in Indonesia.
Abstract:This research aims to assess the content validity of the instrument used to measure Technological Pedagogical Content Knowledge (TPACK) in prospective chemistry teachers. The evaluation encompasses a thorough analysis of…
the instrument's alignment with the knowledge domains being measured, ensuring that the instrument covers key aspects of TPACK that are relevant to the context of teaching chemistry. Content validity reflects the representation and relevance of a set of items used to measure a concept carried out through rational analysis of the contents of the test through an expert panel assessment. This validity refers to the accuracy of the measurement based on the contents of the instrument to ensure that the scale of the items used has fulfilled the entire concept of the item or the suitability of the item. The instrument used in this study was assessed by nine validators consisting of two chemistry education experts and seven chemistry teachers. The assessment is done by determining the appropriateness or relevance of the test contents to be used through rational analysis by a competent panel or through expert judgment. The instrument validations in this study were 20 multiple choice questions. The assessment is done by giving a score of 1-4 on each item. This research is a quantitative descriptive study using Rasch model analysis. The analysis showed that the exact agreement was 71.4% and the expected agreement was 73.8%. Based on measurements showing relevant items in this research instrument, there are 17, among others number 1, 10, 11, 14, 5, 8, 19, 20, 18, 3, 6, 12, 13, 15, 17, 4 and 9. While there are 3 items that are irrelevant and need to be corrected, including number 16, 2 and 7.
Abstract:This study aims to comprehensively examine the influence of the madrasah principal’s leadership on teacher professionalism in guiding students at MIN 2 Pekanbaru, positioning educational leadership as a key element that…
t determines the quality of pedagogical practice. The investigation focuses on three main questions, namely the characteristics of the principal’s leadership, the level of teacher professionalism, and the extent to which leadership contributes to the effectiveness of student guidance. The novelty of this research lies in the integration of instructional, managerial, and entrepreneurial leadership concepts with teachers’ pedagogical and professional competencies, resulting in a more holistic understanding of the mechanisms through which leadership influences the guidance process that requires accuracy in planning, precision in implementation, and rigor in evaluation. The findings reveal a positive and significant relationship between the principal’s leadership and teacher professionalism, with a contribution of 61.1%, indicating that the majority of improvements in teacher professionalism are shaped by the quality of leadership practiced. Supportive and participatory leadership, reinforced by continuous academic supervision, is proven to enhance teachers’ capacities, strengthen work motivation, and create a professional environment conducive to effective student guidance. These outcomes demonstrate that the effectiveness of guidance is not solely influenced by individual teacher competence but also by leadership structures that direct, facilitate, and optimize educator performance systematically. This study concludes that the madrasah principal holds a central role as a driver of improved guidance quality through the application of visionary, adaptive, and human-resource-oriented leadership, whose implications may serve as a basis for formulating strategies to enhance teacher competence and strengthen educational leadership models within madrasah institutions.
Abstract:This study aims to analyze the influence of shipping cost efficiency and freight forwarder quality on export delivery performance at PT Sinar Sawit Sentosa, a palm oil exporting company facing challenges related to rising…
g logistics costs and increasing demands for delivery timeliness. The research problem focuses on the extent to which shipping cost efficiency and the quality of freight forwarder services can improve export delivery performance in a measurable and sustainable manner. A quantitative approach was applied by collecting survey data from the company’s logistics managers and export managers to capture perceptions and experiences related to the research variables. Data analysis was conducted using structural equation modeling to examine the causal relationships among shipping cost efficiency, freight forwarder quality, and export delivery performance. The results indicate that shipping cost efficiency has a positive and significant effect on export delivery performance through reduced operational costs, improved logistics coordination, and smoother export processes. Freight forwarder quality is also proven to have a positive and significant effect through enhanced service reliability, documentation accuracy, and delivery timeliness. The conclusion confirms that the combination of cost efficiency and logistics service quality constitutes a strategic factor determining the success of corporate export delivery. The novelty of this study lies in integrating the measurement of cost efficiency and freight forwarder quality using a SEM approach applied to the Indonesian palm oil export industry, a context that has received limited empirical attention. This contribution provides empirical evidence for the development of export logistics management and strategic decision-making, enriches the academic logistics literature, and offers practical implications for improving national export competitiveness, formulating corporate policies, and managing long-term logistics partnerships based on measurable performance and efficiency orientation. The findings are expected to serve as a reference for future research and professional practice in agribusiness sectors oriented toward global markets with high logistics risks and intense competition that demand continuous, data-driven managerial innovation grounded in reliable and context-specific empirical evidence for the future of national industries.
Abstract:This study examines the enforcement of criminal law in relation to the offense of aggravated theft as adjudicated in the District Court Decision of Amlapura No. 60/PID.B/2024/PN Amlapura, wherein the Defendant, Jana alias…
s Tobi, was found legally and convincingly guilty of committing aggravated theft as stipulated under Article 363 paragraph (1) point 4 of the Indonesian Penal Code (KUHP). The objective of this research is to analyze the application of criminal law in the aforementioned case, with a particular focus on two principal legal issues: (1) how law enforcement was implemented in the case in question, and (2) how the judicial decision aligns with the foundational legal principles of justice, legal certainty, and utility. The research employs a normative juridical method with a descriptive-analytical approach, and utilizes both the theory of law enforcement and the theory of criminal acts as the conceptual framework. The findings indicate that all elements of the criminal offense under Article 363 paragraph (1) point 4 of the Penal Code were fulfilled, and that the panel of judges duly considered both aggravating and mitigating factors in a balanced manner. Nonetheless, further analysis reveals that the Defendant’s role in the commission of the offense was more auxiliary in nature, thereby suggesting that the normative application of Article 55 of the Penal Code would have been more appropriate. This misapplication of legal provisions potentially gives rise to substantive injustice and opens the possibility for further legal remedies. The study concludes that although the formal procedures of law enforcement were conducted in accordance with prevailing legal standards, there exists a substantive deficiency in the identification of the perpetrator’s role, which adversely affects the overall fairness of the verdict. The novelty of this research lies in its critical analysis of the accuracy of judicial application of substantive criminal norms and the imperative of rigorous judicial reasoning in sentencing, aimed at reinforcing the integrity and consistency of the Indonesian criminal justice system.
Abstract:Reading proficiency is a fundamental skill in primary education; however, children with special needs classified as slow learners often face significant challenges in developing early reading abilities due to limitations…
in phonological processing. This study aims to examine the effectiveness of the phonic method in improving the reading skills of slow learners through a structured intervention approach. The central research problem addresses how the phonic method can be appropriately adapted to overcome reading difficulties in children with learning delays. The subject of this study was a fifth-grade elementary school student who exhibited marked delays in recognizing letter sounds, constructing words, and understanding simple sentence structures. A case study approach was employed, involving a six-session individualized intervention designed in gradual stages. Each session focused on developing phonological skills, including phoneme identification, blending sounds into syllables, phoneme segmentation, and the introduction of complex patterns such as digraphs and diphthongs. The results demonstrated significant improvement in the subject’s reading ability, evidenced by increased accuracy in letter-sound recognition, reading simple words, and constructing short sentences. Although minor errors in pronunciation and word structure persisted, the subject’s consistent progress throughout the intervention confirmed the phonic method as an effective and applicable approach to teaching reading to slow learners. In conclusion, the phonic method successfully addressed phonological barriers through strategies tailored to the learner’s cognitive profile. The novelty of this study lies in its implementation of the phonic method as a step-by-step phonological intervention model within the context of inclusive primary education an area that remains underexplored and underutilized in both educational practice and research in Indonesia.
Abstract:Abstract: Inventory managemet plays a strategic role in supporting the operational sustainability of retail businesses. Errors in determining the quantity of goods procured can lead to inventory buildup or stockouts, which…
ch impacts increased storage costs and reduced customer service levels. Attar Jaya store still uses a manual inventory management system, so the restocking recording and decision-making processes are not yet supported by an integrated and data-driven system. This condition has the potential to cause inefficiency in inventory management. This research aims to apply the concept of Electronic Supply Chain Management (E-SCM) integrated with the Economic Order Quantity (EOQ) method to determine the optimal order quantity of goods. The EOQ method is used to calculate the most economical order quantity by considering ordering and storage costs, while E-SCM plays a role in integrating inventory management processes digitally. The research methods include observation, interviews, and literature studies, with system design using the Unified Modelign Language (UML). The system was developed using the PHP programming language and the MwSQL database. The research result are expected to help Toko Attar Jaya improve the accuracy of resctocking decision-making, minimize the risk of overstocking and understocking, and increase the efficiency of inventory mangement.
Keywords: MySQL; PHP; e-supply chain management; economic order quantity; restock items
Abstrak: Manajemen persediaan memiliki peran strategis dalam mendukung keberlangsungan operasional usaha ritel. Kesalahan dalam menentukan jumah pengadaan barang dapat menyebabkan terjadinya penumpukan persediaan maupun kekurangan stok yang berdampak pada meningkatnya biaya penyimpanan seerta menurunnya tingkat pelayanan kepada pelanggan. Toko Attar Jaya masih menerapkan sistem pengelolaan persediaan secara manual, sehingga proses pencatatan dan pengambilan keputusan restok belum didukung oleh sistem yang terintegrasi dan berbasis data. Kondisi tersebut berpotensi menimbulkan ketidakefisienan dalam pengelolaan stok barang. Penelitian ini bertujuan untuk menerapkan konsep Electronic Supply Chain Management (E-SCM) yang terintegrasi dengan metode Economic Order Quantity (EOQ) dalam menentukan jumlah pemesanan barang yang optimal. Metode EOQ digunakan untuk menghitung jumlah pemesanan yang paling ekonomis dengan mempertimbangkan biaya pemesanan dan biaya penyimpanan, sedangkan E-SCM berperan dalam mengintegrasikan proses pengelolaan persediaan secara digital. Metode penelitian meliputi observasi, wawancara, dan studi literatur, dengan perancangan sistem menggunakan Unified Modeling Languge (UML). Sistem dikembangkan mengguanakan bahasa pemrograman PHP dan basis data MySQL. Hasil penelitian diharapkan mampu membantu pihak Toko Attar Jaya dalam meningkatkan akurasi pengambilan keputusan restok, meminimalkan risiko kelebihan dan kekurangan persediaan, serta meningkatkan efisiensi pengelolaan persediaan.
Kata kunci: MySQL; PHP; e-supply chain management; economic order quantity; restok barang
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: 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: Semangat Store, a rapidly growing retail store in Kisaran, faces challenges in inventory management due to its manual system. Ordering is done by contacting suppliers individually, and sales data is recorded conventionally…
nventionally in a general ledger. As a result, the store often experiences overstock, which increases storage costs and the risk of damaged goods, or stockouts that can disappoint customers. To address these issues, this study aims to implement an integrated, web-based Supply Chain Management (SCM) system. This system is designed to accurately record inventory, manage demand, place orders in a timely manner, and support fast, data-driven decision-making. The system was built using the PHP programming language and a MySQL database. The implementation results show that the proposed SCM system is able to improve operational efficiency and inventory management accuracy at Semangat Store. Store owners can monitor sales and order reports directly, and the system provides notifications when inventory reaches the minimum limit. Thus, Semangat Store can reduce the risk of overstocking or understocking, increase profitability, and simplify the restocking process with suppliers through a more structured system.
Keywords: supply chain management (scm); stock management; information systems; semangat store
Abstrak: Toko Semangat, sebuah toko ritel yang berkembang pesat di Kisaran, menghadapi tantangan dalam pengelolaan stok barang karena masih menggunakan sistem manual. Proses pemesanan barang dilakukan dengan menghubungi pemasok satu per satu, dan pencatatan data penjualan masih dilakukan secara konvensional di buku besar. Akibatnya, toko sering mengalami kelebihan stok (over stock) yang meningkatkan biaya penyimpanan dan risiko kerusakan barang, atau kekurangan stok yang dapat mengecewakan pelanggan. Untuk mengatasi masalah ini, penelitian ini bertujuan untuk mengimplementasikan sistem Supply Chain Management (SCM) yang terintegrasi dan berbasis web. Sistem ini dirancang untuk mencatat stok barang secara akurat, mengelola permintaan, melakukan pemesanan secara tepat waktu, serta mendukung pengambilan keputusan yang cepat dan berbasis data. Sistem ini dibangun menggunakan bahasa pemrograman PHP dan database MySQL. Hasil dari implementasi menunjukkan bahwa sistem SCM yang diusulkan mampu meningkatkan efisiensi operasional dan akurasi pengelolaan stok barang di Toko Semangat. Pemilik toko dapat memantau laporan penjualan dan pemesanan secara langsung, dan sistem memberikan notifikasi jika stok barang mencapai batas minimum. Dengan demikian, Toko Semangat dapat mengurangi risiko kelebihan atau kekurangan stok, meningkatkan profitabilitas, dan mempermudah proses restock dengan pemasok melalui sistem yang lebih terstruktur.
Kata kunci: supply chain management (scm); pengelolaan stok; sistem informasi; toko semangat