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Pengembangan Buku Ajar Teori Graf untuk Mahasiswa Pendidikan Matematika Ratih Puspasari; Tutut Suryaningsih
Jurnal Tadris Matematika Vol 2 No 1 (2019)
Publisher : Universitas Islam Negeri Sayyid Ali Rahmatullah Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21274/jtm.2019.2.1.85-100

Abstract

One effort to improve the quality of mathematics learning is to provide teaching materials that are appropriate to the classroom situation. The purpose of this development research is to produce teaching materials in the form of Graf Theory textbooks which are expected to help improve student activity. The research method used follows the design of the ADDIE model. The results of the study are that the draft Theory Graf textbook prepared can be used as a textbook. This can be done because all validators state that the quality of the textbooks that are made includes good and very good categories. Furthermore, by paying attention to the comments, input / suggestions from the validators, the teaching book is revised again so that it becomes more perfect and finally can be legalized into a textbook ready for use by Mathematics Education lecturers and students as one of the learning resources for graph theory courses. Besides that the resulting textbooks are expected to overcome the lack of teaching materials available at STKIP PGRI Tulungagung Mathematics Education Study Program.
RANCANG BANGUN SISTEM INFORMASI PEMASARAN BERBASIS WEB DENGAN MENGGUNAKAN EXTREME PROGRAMMING PADA SMP MUHAMMADIYAH 06 MEDAN Raudini, Satrya Prima; Puspasari, Ratih
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 3S1 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i3S1.8180

Abstract

Promosi sekolah yang masih dilakukan secara konvensional sering menyebabkan keterbatasan jangkauan informasi kepada calon peserta didik. Penelitian ini bertujuan merancang dan membangun sistem informasi pemasaran berbasis web sebagai media promosi dan penyebaran informasi di SMP Muhammadiyah 06 Medan. Metode pengembangan yang digunakan adalah Extreme Programming (XP) yang terdiri dari tahap planning, design, coding, dan testing untuk menghasilkan sistem yang fleksibel dan mudah disesuaikan dengan kebutuhan pengguna. Data penelitian diperoleh melalui observasi, wawancara, serta dokumentasi terhadap proses promosi dan pendaftaran siswa. Hasil penelitian menunjukkan bahwa sistem yang dibangun mampu menampilkan profil sekolah, berita, galeri, dan pendaftaran siswa secara daring. Pengujian menggunakan metode black box menunjukkan bahwa seluruh fungsi berjalan sesuai harapan. Penerapan sistem informasi ini dinilai efektif dalam meningkatkan jangkauan promosi sekolah dan memudahkan calon siswa memperoleh informasi tanpa harus datang langsung ke sekolah. Dengan demikian, sistem ini dapat menjadi solusi alternatif dalam mendukung kegiatan promosi dan digitalisasi layanan informasi sekolah.
Pengungkapan Aspek Matematis pada Aktivitas Etnomatematika Produksi Ecoprint di Butik El Hijaaz Puspasari, Ratih; Rinawati, Anis; Pujisaputra, Anung
Mosharafa: Jurnal Pendidikan Matematika Vol. 10 No. 3 (2021): September
Publisher : Department of Mathematics Education Program IPI Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31980/mosharafa.v10i3.670

Abstract

Butik El Hijaaz merupakan pengrajin kain ecoprint di Tulungagung yang mengembangkan teknik ecoprint menggunakan bahan alam sebagai pewarna kain dan pencetak motif yang ramah lingkungan. Penelitian dilakukan untuk mengungkap aspek matematika yang terkandung dari proses pembuatan kain ecoprint, seperti membilang, mengukur, mendesain. Tujuan dari penelitian ini adalah mengungkap aspek-aspek matematis dan aktivitas-aktivitas fundamental matematis yang terdapat dalam aktivitas ecoprint di butik El Hijaaz Tulungagung. Penelitian ini menggunakan pendekatan kualitatif dengan metode etnografi yakni observasi, wawancara, dokumentasi. Subjek penelitian yaitu karyawan butik dan pemilik Butik El Hijaaz. Lokasi penelitian yaitu di butik El Hijaaz Kabupaten Tulungagung. Hasil penelitian menunjukan bahwa: 1) aktivitas fundamental yang ditemukan pada proses pembuatan kerajinan kain ecoprint di Galery El Hijaaz antara lain counting, measuring, design, locating, playing dan explaining. 2) Konsep matematis yang dapat diungkap adalah perbandingan, konversi waktu, konversi suhu, konsep membilang, himpunan, konsep pecahan, konsep pengukuran, refleksi, kesebangunan, kongruensi, program linier, aritmatika sosial. Butik El Hijaaz is an ecoprint fabric craftsman in Tulungagung who develops ecoprint techniques using natural materials as fabric dyes and prints environmentally friendly motifs. The research was conducted to reveal the mathematical aspects contained in the process of making ecoprint fabrics, such as counting, measuring, designing. The purpose of this research is to reveal the mathematical aspects and mathematical fundamental activities contained in the ecoprint activity at El Hijaaz boutique Tulungagung. This study uses a qualitative approach with ethnographic methods namely observation, interviews, documentation. The research subjects are boutique employees and El Hijaaz Boutique owners. The research location is the El Hijaaz boutique, Tulungagung Regency. The results of the study show that: 1) the fundamental activities found in the process of making ecoprint fabrics at the El Hijaaz Gallery include counting, measuring, design, locating, playing and explaining. 2) Mathematical concepts that can be revealed are comparison, time conversion, temperature conversion, counting concept, set, fraction concept, measurement concept, reflection, similarity, congruence, linear program, social arithmetic.
Application of the servqual method to increase customer satisfaction in renting tronton trucks Siregar, Syafri Nur Hidayat; Puspasari, Ratih
Journal of Intelligent Decision Support System (IDSS) Vol 6 No 4 (2023): December: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/idss.v6i4.191

Abstract

This study aims to apply the ServQual and Importance Performance Analysis methods at PT. Srikandi Transolusindo Intilam to increase customer satisfaction in renting tronton trucks. Feelings that arise as a result of an evaluation of the experience of using a product or service, generally if consumers are not satisfied, there will be an exchange of communication with their environment about dissatisfaction with the producer and will affect the company's brand image which will have an impact as a loss and loss of potential new consumers. The method used for the application of the data is the ServQual and Importance Performance Analysis methods, namely the quality control method. The assessment for this method is that there are two main factors regarding the quality of service, namely the perception that the customer has, and the service received by the customer (perceived service) from the service that the customer expects them to receive (expected service). Based on these results, this method can assess customer satisfaction in renting a tronton truck at PT. Srikandi Transolusindo Intilam.
STEM Digital Collaboration to Enhance Critical Thinking Skills of Secondary School Students: A Literature Review Fatqurhohman, Fatqurhohman; Syam, Haerul; Puspasari, Ratih; Niam, Fathul; Surur, Agus Miftakhus
JINEA: Journal of Innovation in Education and Learning Vol. 1 No. 1 (2025): FEBRUARY 2025
Publisher : Ihsan Cahaya Pustaka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66031/jinea.112025.8

Abstract

This literature review explores the role of STEM digital collaboration in enhancing critical thinking skills among secondary school students. As global demands for higher-order cognitive abilities intensify, integrating digital tools within STEM education has emerged as a promising approach to foster interactive, collaborative, and contextually meaningful learning experiences. The review synthesizes recent empirical studies and theoretical perspectives, highlighting innovative pedagogical models such as STEM-Blended Learning, Project-Based Learning, and STEM-based digital modules that effectively cultivate critical thinking. Notably, this study advances the understanding of how balanced technology integration, coupled with collaborative STEM activities, optimizes cognitive skill development while mitigating risks of overdependence on digital resources. The novelty of this review lies in its comprehensive focus on digital collaboration as a catalyst for critical thinking enhancement, bridging theoretical frameworks and practical applications in diverse secondary education contexts. Implications for educators and policymakers emphasize the strategic adoption of integrated STEM-digital pedagogies to prepare students for complex 21st-century challenges. Future research directions include evaluating cross-cultural effectiveness and addressing implementation barriers in technology-supported STEM collaboration.
Metode CSI Dalam Penilaian Kepuasan Pasien Berbasis Online Rani, Sri Panca; Puspasari, Ratih
Jurnal Minfo Polgan Vol. 14 No. 2 (2025): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v14i2.15445

Abstract

Klinik XYZ bergerak dalam jasa pelayanan gigi dan destis. Klinik ini menawarkan berbagai layanan perawatan gigi, termasuk penambalan, pencabutan, terapi saluran akar, pembersihan karang gigi, pemasangan selubung gigi, gigi palsu (lepasan dan permanen), serta perawatan estetika seperti kawat gigi, pemutihan gigi, dan veneer. Dalam memanfaatkan teknologi Sistem Informasi Layanan, Klinik XYZ meningkatkan efisiensi operasional, pengelolaan data pasien, dan penjadwalan dokter, sehingga dapat memberikan layanan yang lebih baik. Kepuasan pasien menjadi prioritas utama, di mana layanan yang memenuhi atau melampaui harapan pasien berhubungan erat dengan efisiensi dan efektivitas perawatan. Masalah yang terjadi pada Klinik XYZ khususnya dalam bidang pelayanan yang diberikan adalah Waktu tunggu yang lama terutama pada jam-jam sibuk, yang menyebabkan pasien merasa pelayanan tidak efisien, kurangnya informasi awal yang jelas mengenai prosedur tindakan, estimasi biaya, atau efek samping, sehingga pasien merasa kurang teredukasi sebelum menjalani perawatan kemudian responsivitas staf dan tenaga medis yang dinilai belum optimal, baik dalam hal kecepatan merespon pertanyaan pasien maupun dalam menangani keluhan, selanjutnya fasilitas ruang tunggu dan kenyamanan klinik yang belum sepenuhnya memadai dibandingkan ekspektasi pasien terhadap klinik estetika yang professional serta Kurangnya sistem penilaian kepuasan secara terstruktur, sehingga feedback dari pasien belum terdokumentasi dengan baik untuk dijadikan dasar perbaikan layanan.
Application of AHP and Profile Matching Methods in Teacher Performance Assessment at XYZ School Hidayat, Wahyu; Puspasari, Ratih
Jurnal ICT : Information and Communication Technologies Vol. 16 No. 2 (2025): October, Jurnal ICT : Information and Communication Technologies
Publisher : Marqcha Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/jict.v16i2.260

Abstract

Teacher performance evaluation plays a critical role in improving educational quality; however, manual assessment systems often lead to subjectivity, inefficiency, and a lack of data-driven decision-making. This study aims to develop and implement a decision support system for teacher performance evaluation using the Analytical Hierarchy Process (AHP) and Profile Matching (PM) methods to produce more objective, transparent, and systematic assessments. The research was conducted at XYZ School with a sample of 20 teachers, evaluating five key performance aspects: learning planning, learning implementation, assessment and evaluation, classroom management, and communication with students. The AHP method was applied to determine the weight of each criterion through pairwise comparisons, while the Profile Matching method was used to align individual teacher competencies with ideal performance profiles. The system generated a ranking of teachers, identifying Drs. Hendarto Wijaya, Masriyanti, S.Pd, and Nurlia Syafina, S.Pd as the top three performers. The results indicate that combining AHP and PM effectively reduces subjectivity, enhances assessment accuracy, and accelerates the evaluation process. Furthermore, the web-based implementation allows automated reporting and easier data access, improving efficiency in teacher development planning. The implications of this study highlight that integrating multi-criteria decision-making models in educational management can strengthen evidence-based performance evaluation practices. Future studies should expand this framework across multiple institutions and incorporate advanced analytical methods to enhance system adaptability and scalability.
Implementation of the Apriori Method in Consumer Purchasing Patterns at PT. Ouzen Anugerah Indonesia Yustio, Muhammad Alif; Puspasari, Ratih
Jurnal ICT : Information and Communication Technologies Vol. 16 No. 2 (2025): October, Jurnal ICT : Information and Communication Technologies
Publisher : Marqcha Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/jict.v16i2.264

Abstract

The rapid growth of the cosmetics industry has created intense competition among retail companies, including PT. Ouzen Anugerah Indonesia, which faces challenges in understanding consumer purchasing behavior due to the lack of systematic data analysis. This study aims to analyze consumer purchasing patterns and identify frequently purchased product combinations using the Apriori algorithm as a data mining technique. The research employed a descriptive quantitative approach based on 5,000 sales transactions recorded between January and December 2024, consisting of transaction IDs, dates, and purchased product lists. Through the Apriori algorithm, the study generated association rules that reveal relationships among products, represented by support and confidence values. The results show that several cosmetic items exhibit strong associative relationships, indicating consistent consumer purchasing tendencies that can be utilized for cross-selling strategies, promotional bundling, and inventory optimization. These findings highlight the effectiveness of data mining in transforming raw transaction data into actionable insights that support data-driven business decision-making. The study contributes theoretically by reinforcing the application of association rule learning in medium-scale retail contexts and practically by providing a framework for developing marketing and operational strategies based on data analysis. The research also suggests that future studies integrate broader datasets and additional variables, such as consumer demographics and temporal factors, to enhance analytical depth and model generalization.
Diet Recommendation System for Kidney Disease Patients Using Collaborative Filtering Sitompul, Bintang Cimdy Lorenza; Puspasari, Ratih
Jurnal ICT : Information and Communication Technologies Vol. 16 No. 2 (2025): October, Jurnal ICT : Information and Communication Technologies
Publisher : Marqcha Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/jict.v16i2.265

Abstract

Chronic kidney disease (CKD) remains a major global health challenge, particularly in Indonesia, where limited awareness and inadequate dietary management contribute to the progression of renal complications. Patients often face difficulties in selecting foods that meet both medical and nutritional requirements, underscoring the need for intelligent dietary guidance. This study aims to develop a personalized dietary recommendation system for kidney failure patients using a hybrid approach that combines content-based and collaborative filtering techniques. The model was designed to analyze patients’ food preferences, nutritional composition, and health conditions to generate appropriate dietary recommendations. The system’s performance was evaluated using cosine similarity and predictive accuracy metrics, including RMSE, precision, recall, and F1-score. The results show that the proposed model achieved an accuracy of 83%, precision of 75%, recall of 100%, and F1-score of 86%, demonstrating its effectiveness in identifying dietary similarities and preferences among patients with comparable clinical profiles. Furthermore, by integrating nutritional content data such as sodium, potassium, and protein levels, the system successfully provided clinically safe and personalized recommendations aligned with renal dietary guidelines. These findings highlight the potential of artificial intelligence–based recommendation systems to support dietitians in improving the accuracy and efficiency of nutritional counseling, thereby promoting patient adherence and enhancing the quality of kidney disease management in hospital settings.