Garuda - Garba Rujukan Digital

PENERAPAN MODEL CLIS MELALUI KEGIATAN PENGHIJAUAN DALAM PENINGKATAN SIKAP PEDULI LINGKUNGAN DI SEKOLAH DASAR Nurapriani, Fitria; DS, Yulistina Nur
Gema Pendidikan Vol 29, No 2 (2022):
Publisher : Universitas Halu Oleo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36709/gapend.v29i2.25926

Penelitian ini bertujuan untuk mengetahui seberapa besar peningkatan sikap peduli lingkungan siswa setelah diterapkan model CLIS (children learning in science) melalui kegiatan penghijauan pada tema peduli terhadap lingkungan. Adapun desain penelitian yang digunakan adalah penelitian tindakan kelas (PTK) yang terdiri dari dua siklus. Masing-masing siklus terdiri dari perencanaan, tindakan, observasi, dan refleksi. Subjek penelitian dalam PTK ini adalah kelas IV SD Negeri di Kecamatan Karawang Timur Kabupaten Karawang yang berjumlah 15 siswa. Aspek sikap peduli lingkungan yang diteliti terdiri dari empat aspek yaitu aspek kritis, tanggung jawab, peduli terhadap lingkungan serta percaya diri. Dalam pentlitian menggunakan model CLIS (children learning in science) terdiri dari lima tahap yaitu orientasi, pemunculan gagasan, penyusunan ulang gagasan, penerapan gagasan dan pemantapan gagasan. İnstrumen yang digunakan adalah lembar observasi aktivitas guru dalam penerapan model CLIS, lembar observasi sikap peduli lingkungan, dan tes kognitif siswa. Hasil penelitian menunjukkan bahwa pada siklus I sikap peduli lingkungan siswa mendapatkan rata-rata 57 dan pada siklus II mendapatkan rata-rata sikap peduli lingkungan siswa sebesar 88. Rata-rata nilai kognitif pada siklus I 69 dan pada siklus II yaitu 87. Berdasarkan hasil penelitian tersebut, dapat disimpulkan bahwa terdapat peningkatan sikap peduli lingkungan siswa setelah diterapkannya model CLIS melalui kegiatan penghijauan.

Klasterisasi Data Obat dengan Algoritma K-Means (Kasus pada UPTD Puskesmas Curug) kastiawan, Nurhayadi; Huda, Baenil; Novalia, Elfina; Nurapriani, Fitria
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 8, No 1 (2024): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v8i1.771

Managing drug supplies is very important because it minimizes drug losses in institutions such as health centers, pharmacies and hospitals, so that drugs of any type are in accordance with the quantity needed. The research aims at grouped drug data, where this case study was carried out at the Curug Health Center UPTD which will be used as a guide in submitting a drug import plan at this health center. The data processed in this research is the 2022 annual report, drug needs plan and proposed drug needs (RKO 2023) at the Curug Health Center UPTD. The data in this research was processed by the K-Means algorithm with the rapidminer tool, where this technique data is grouped by collecting data into clusters. The results obtained were that Cluster 0 was a very low cluster which contained 14 drug items, then Cluster 1 with 12 drug items was a low cluster, Cluster 3 with 2 drug items was a high cluster and Cluster 2 was the highest cluster with 2 items drug.

IMPLEMENTATION OF SUPPLY CHAIN MANAGEMENT AT CV.TINGGAR JAYA FOR WEB-BASED STOCK MONITORING Ramadan, Mohamad Rizqulloh; Hilabi, Shofa Shofiah; Nurapriani, Fitria; Priatna, Bayu
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 7 No. 2 (2024): JUSIKOM: JURNAL SISTEM INFROMASI ILMU KOMPUTER
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v7i2.4764

Implementation of Supply Chain Management at CV. Tinggar Jaya is a company warehouse system designed for company needs to coordinate company resources. The problem that occurs at CV. Tinggar Jaya still uses manual methods, from ordering to checking or monitoring stock in the warehouse. Therefore, the solution to this problem is implementing supply chain management at CV. Tinggar Jaya will organize and monitor the warehouse's stock amount using the waterfall system design method with the expected goal of implementing supply chain management to monitor the stock of goods to be more efficient in carrying out this process. Keywords: Warehouse, Supply Chain Management, Goods, Monitoring, Stock, Website

Klasterisasi Data Obat dengan Algoritma K-Means (Kasus pada UPTD Puskesmas Curug) kastiawan, Nurhayadi; Huda, Baenil; Novalia, Elfina; Nurapriani, Fitria
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 8, No 1 (2024): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v8i1.771

Managing drug supplies is very important because it minimizes drug losses in institutions such as health centers, pharmacies and hospitals, so that drugs of any type are in accordance with the quantity needed. The research aims at grouped drug data, where this case study was carried out at the Curug Health Center UPTD which will be used as a guide in submitting a drug import plan at this health center. The data processed in this research is the 2022 annual report, drug needs plan and proposed drug needs (RKO 2023) at the Curug Health Center UPTD. The data in this research was processed by the K-Means algorithm with the rapidminer tool, where this technique data is grouped by collecting data into clusters. The results obtained were that Cluster 0 was a very low cluster which contained 14 drug items, then Cluster 1 with 12 drug items was a low cluster, Cluster 3 with 2 drug items was a high cluster and Cluster 2 was the highest cluster with 2 items drug.

Mengintegrasikan Prinsip Pembangunan Berkelanjutan dalam Pembelajaran Matematika untuk Merangsang Keterampilan Berkelanjutan pada Generasi Mendatang Lestari, Santi Arum Puspita; Nurapriani, Fitria; Kusumaningrum, Dwi Sulistya
Jurnal Rekayasa Sistem Industri Vol. 13 No. 1 (2024): Jurnal Rekayasa Sistem Industri
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26593/jrsi.v13i1.7167.1-10

This research constitutes a literature review employing a qualitative approach, analyzing scholarly articles, books, and other documents related to sustainable development. This article aims to summarize and analyze previous studies concerning sustainable development in the context of mathematics education, as well as strategies that can be employed to integrate the principles of sustainable education. Integrating the principles of sustainable development into education, including mathematics education, is crucial in fostering a more environmentally responsible society and promoting sustainability across all sectors. However, its implementation remains limited. Educators face various challenges, including a lack of time, resources, and understanding of sustainable education, along with a dearth of supportive teaching materials. The principles of sustainable development can serve as a framework for developing curricula and teaching practices that are more sustainable. Educators can select mathematical problems related to environmental or social issues, discuss relevant mathematical concepts in connection with these problems, and help students comprehend the impact of mathematical decisions on the environment and society. Integrating the principles of sustainable development into mathematics education not only aids in producing a generation with sustainable skills but also motivates students to learn mathematics in more engaging and meaningful ways. A learning approach centered around sustainable development can be an effective way to prepare students for a sustainable future. The article also underscores the necessity for curriculum development, training, and professional advancement for educators.

Geometric Patterns in Jaipong Dance: An Ethnomathematics Study Lestari, Santi Arum Puspita; Kusumaningrum, Dwi Sulistya; Nurapriani, Fitria
Mathline : Jurnal Matematika dan Pendidikan Matematika Vol. 9 No. 1 (2024): Mathline: Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/mathline.v9i1.556

Jaipong dance is a traditional dance deeply rooted in the culture of West Java. However, not everyone is aware that Jaipong dance incorporates mathematical elements into its performance. Therefore, the aim of this research is to analyze mathematical concepts, particularly geometric patterns, within Jaipong dance. The research approach employed is ethnography, with data analysis including domain analysis, taxonomic analysis, and ethnographic analysis. Data was collected through three main methods: interviews, observations, and documentation. The research findings reveal the utilization of mathematical concepts in Jaipong dance. This includes counting from 1 to 8 to maintain the dance's rhythm and the use of geometric shapes in floor patterns. The floor patterns in Jaipong dance reflect the spatial arrangement used in the dance performance. Some of the floor patterns used in Jaipong dance encompass straight lines, diagonals, triangles, quadrilaterals, and pentagons. Thus, Jaipong dance not only blends artistic movements but also integrates mathematical and geometric concepts within its floor patterns. Geometry plays a significant role in creating visual aesthetics and regulating interactions among the dancers during Jaipong dance performances.

Implementasi Algoritma K-Means Untuk Klasterisasi Data Obat Puskesmas Kotabaru Kurniawan, Muhamad Dicky; Priyatna, Bayu; Nurapriani, Fitria
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 2 (2023): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i2.693

Drug management is one of the things needed to manage drug supplies. Proper planning of drug needs makes drug procurement efficient and effective so that drugs are available in sufficient types and quantities as needed and easily obtained when needed. The purpose of this study was to classify drug data at the Kotabaru Health Center which can be used as a reference in making decisions in planning and controlling drug needs at the Health Center. The data used in this study are the Kotabaru Health Center annual report data from 2019 to 2021. Data processing in this study uses the K-means clustering method with rapidminer tools which is a data grouping technique by dividing the existing data into one or two forms. more clusters. The results of this study divide the drug data into 4 clusters, namely the first cluster (C0) with very low usage consisting of 27 drugs, the second cluster (C2) with low usage consisting of 6 drugs, the third cluster (C3) with high usage consisting of 1 drug, and the fourth (C2) with the highest usage consisting of 1 drug.

Implementasi Algoritma K-Means Untuk Klasterisasi Data Obat Puskesmas Kotabaru Kurniawan, Muhamad Dicky; Priyatna, Bayu; Nurapriani, Fitria
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 2 (2023): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i2.693

Drug management is one of the things needed to manage drug supplies. Proper planning of drug needs makes drug procurement efficient and effective so that drugs are available in sufficient types and quantities as needed and easily obtained when needed. The purpose of this study was to classify drug data at the Kotabaru Health Center which can be used as a reference in making decisions in planning and controlling drug needs at the Health Center. The data used in this study are the Kotabaru Health Center annual report data from 2019 to 2021. Data processing in this study uses the K-means clustering method with rapidminer tools which is a data grouping technique by dividing the existing data into one or two forms. more clusters. The results of this study divide the drug data into 4 clusters, namely the first cluster (C0) with very low usage consisting of 27 drugs, the second cluster (C2) with low usage consisting of 6 drugs, the third cluster (C3) with high usage consisting of 1 drug, and the fourth (C2) with the highest usage consisting of 1 drug.

IMPLEMENTATION OF DESIGN THINKING METHODS IN UI/UX DESIGNING JOB SEARCHING APPLICATIONS Sriardi, Mohammad Didit; -, Tukino; Nurapriani, Fitria
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 7 No. 1 (2023): JUSIKOM: JURNAL SISTEM INFROMASI ILMU KOMPUTER
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v7i1.4047

Major changes in the job search have occurred with the development of the digital age. Therefore, user experience enhancement (UserExperience, UX) and user interface (UserInterface, UI) in job search applications is becoming an urgent need. This study aims to explore the application of the methoddesign thinkingin designing the UI/UX of a job search application namedCareer Hunt.Design thinking, a user-centric approach, enabling developers to understand deeply the needs, challenges and expectations of users, and create innovative and effective solutions. There are five stages used in this study: empathy, definition, ideation,prototype, and testing / test. In this study, interviews and contextual observations were conducted to gain a deeper understanding of user behavior and needs. Based on these findings, the main issues need to be solved, and then facilitate the sessionbrainstormingto generate a variety of potential solutions. Then, developprototypebased on those ideas and do user testing.feedbackreceived is used for literacy and further improvement. As a result, useDesign Thinkingin designUI/UXThis job search application has succeeded in increasing user satisfaction levels as well as job search efficiency. Keywords:Job Search,Career Hunt, Design Thinking, UI/UX

Analisis Sentimen Aplikasi Bank Digital Pada Google Play Store Menggunakan Algoritma Naive Bayes Arkan Hilman Hakim; Hananto, April Lia; Nurapriani, Fitria; Huda, Baenil
Journal of Informatics and Communication Technology (JICT) Vol. 7 No. 1 (2025)
Publisher : PPM Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52661/jict.v7i1.405

Pesatnya perkembangan teknologi perbankan digital telah mendorong munculnya beragam aplikasi perbankan yang tersedia di Google Play Store. Ulasan pengguna terhadap aplikasi-aplikasi ini menjadi sumber informasi yang berharga untuk menilai tingkat kepuasan mereka, yang kemudian dapat dianalisis melalui pendekatan sentiment analysis. Penelitian ini dilakukan untuk mengkaji kecenderungan sentimen pengguna terhadap beberapa aplikasi bank digital dengan memanfaatkan algoritma Naïve Bayes. Data yang dianalisis berasal dari 1.000 ulasan pengguna untuk masing-masing aplikasi, yaitu Seabank, Krom Bank, Bank Jago, Blu by BCA, dan Bank Saqu. Seluruh proses analisis dan pengolahan data dilakukan menggunakan platform Google Colab, dengan menerapkan metode Multinomial Naïve Bayes (MNB) untuk mengklasifikasikan sentimen ke dalam dua kategori, yaitu positif dan negatif. Hasil penelitian mengungkapkan bahwa Seabank menunjukkan performa tertinggi, dengan accuracy sebesar 94%, precision 93%, recall 100%, dan F1-score 97%, serta total 945 ulasan positif dan 55 ulasan negatif. Temuan ini memperlihatkan bahwa analisis sentimen dapat memberikan masukan yang bernilai bagi pengembang untuk meningkatkan kualitas aplikasi, sekaligus menjadi panduan bagi pengguna dalam memilih layanan perbankan digital yang sesuai dengan preferensi kebutuhan.

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