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Cluster Analysis of Factors Affecting the Amount of Shipping Costs PT. Indah Logistik Cargo Lampung Branch Using Average Linkage Method Herindri, Bernadhita; Yoka, Ranara Athlla; Sawitri, Riza
ZERO: Jurnal Sains, Matematika dan Terapan Vol 8, No 2 (2024): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v8i2.21581

Abstract

Cluster analysis analyzes similar elements as different and independent cluster research objects (not interconnected). PT. Indah Logistik Cargo is a company that provides goods and motorcycle shipping services through three channels: land, sea, and air. This research has three objectives. The first is to categorize postage prices based on the type of goods and services provided so that customers can easily see the options available and understand the differences between each option. Thirdly, categorize prices so companies can offer special promotions or discounts for certain services. Fourth, cluster prices so companies can offer special promotions or discounts for certain services. Based on the analysis results, 3 cluster groups were formed: cheap, medium, and expensive. It can be concluded that the group with low postage prices (Rp 16,160 to Rp 622,160) consists of Medan, Bengkulu, Palembang, Padang, and Pekanbaru; the group with medium postage prices (Rp 40,400 to Rp 888,800) is only Banda Aceh; and the group with high postage prices (Rp 62,620 to Rp 1,555,400) consists of Tanjung Pinang and Pangkal Pinang.
Workshop Pelatihan Pemahaman Konsep Aritmatika Sosial untuk Siswa SMKS Nurul Huda Pringsewu Kurniasari, Dian; Asmiati; Widiarti; Sawitri, Riza
ABDI AKOMMEDIA : JURNAL PENGABDIAN MASYARAKAT Vol. 3 No. 3 (2025)
Publisher : ABDI AKOMMEDIA : JURNAL PENGABDIAN MASYARAKAT

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Aritmatika sosial salah satu aspek penting dalam numerasi dasar dan memiliki manfaat praktis yang relevan dengan dunia kerja dan kehidupan sehari-hari. Rendahnya pemahaman siswa SMKS Nurul Huda terhadap konsep matematika yang kontekstual, khususnya pada materi aritmatika sosial, sehingga diperlukan pelatihan pemahaman konsep aritmatika sosial. Kegiatan ini bertujuan untuk memberikan pemahaman konsep aritmatika sosial secara aplikatif serta memotivasi siswa untuk belajar secara mandiri dan berkelanjutan. Workshop ini dilakukan dalam bentuk ceramah interaktif, diskusi, dan simulasi perhitungan kontekstual agar siswa lebih mudah memahami konsep matematika yang diajarkan. Keberhasilan kegiatan workshop dievaluasi melalui pre-test dan post-test. Berdasarkan nilai pre-test dan post-test, diperoleh rata-rata selisih perbedaan nilai post-test dan pre-test sebesar 33,08. Pengujian selisih beda dua rata-rata dengan menggunakan uji t memberikan hasil bahwa secara statistik nilai post-test lebih besar dibandingkan dengan nilai pre-test. Hasil ini menunjukkan bahwa para peserta memahami apa yang disampaikan oleh narasumber dan membuka wawasan mereka tentang artimatika sosial dalam kehidupan sehari-hari.
Pelatihan Aparat Desa dalam Menggunakan Statistik untuk Meningkatkan Pelayanan Publik di Desa Purworejo, Kecamatan Negeri Katon, Kabupaten Pesawaran, Provinsi Lampung Mustofa Usman; Syarief Makhya; Riza Sawitri; Nonik Mega Sapitri; Edwin Russel
KREATIF: Jurnal Pengabdian Masyarakat Nusantara Vol. 5 No. 4 (2025): Jurnal Pengabdian Masyarakat Nusantara
Publisher : AMIK Veteran Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/kreatif.v5i4.8426

Abstract

Purworejo Village, located in Negeri Katon, Pesawaran, has significant economic potential, especially in the agriculture and MSME sectors. However, its public services have not been fully integrated with adequate data systems, as the village apparatus still uses conventional methods in service delivery. Therefore, training for the village apparatus is needed to improve public services through the application of descriptive statistics. This training aims to equip village officials with basic data processing skills to enhance human resource capacity and promote better public service delivery. The training approach is participatory and practical, with participants not only receiving theoretical materials but also engaging in hands-on practice and case-based discussions relevant to village issues. The training results indicate that the use of descriptive statistics has significantly improved the understanding and skills of village officials in data processing for public services. The application of this method allows for more accurate, systematic, and easily understood information presentation, serving as a basis for targeted policy development.
Locating Chromatic Number for Rose Graphs and Barbell Operation Riza Sawitri; Lidwina Amelia; Asmiati Asmiati; Dina Eka Nurvazly
Eigen Mathematics Journal Vol 8 No 2 (2025): December
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/emj.v8i2.315

Abstract

The locating chromatic number of a graph is the minimum color required for a locating coloring. This concept is a combination of partition dimension and vertex coloring of a graph. The purpose of this paper is to determine the locating chromatic number of the Rose graph and the barbell Rose graphs. The method used to obtain the locating chromatic number of a graph is by determining its upper and lower bounds. In this paper, the locating chromatic number of the Rose graphs and its barbell operation were obtained. The locating chromatic number of Rose graph 𝑀 (𝐶𝑛) is 4 for 𝑛 ∈ {3, 4} and 5 for 𝑛 ≥ 5. Furthermore, for barbell Rose graphs, 4 for 𝑛 = 3 and 5 for 𝑛 ≥ 4
Classifying Electronic Health Records with Long Short-Term Memory and Gated Recurrent Unit Networks Dian Kurniasari; Zida Bunga Sobara; Riza Sawitri
Integra: Journal of Integrated Mathematics and Computer Science Vol. 3 No. 2 (2026): July
Publisher : Magister Program of Mathematics, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/integrajimcs.20263262

Abstract

Electronic Health Records (EHR) are a complete digital store of medical information which contains valuable information about a person’s health status. These data are an important tool for health care professionals to decide the management of the patient, i.e. the need for hospitalization (inpatient care) or outpatient treatment. The importance of EHR data underscores the need for hospitals to act quickly and develop appropriate follow-up for patients. The aim of this study is to assess and compare the performance of two deep learning models, Long Short Term Memory (LSTM) and Gated Recurrent Unit (GRU) for accurate classification of EHR data to predict whether a patient is hospitalized (inpatient or outpatient) based on laboratory test results. This study aims to compare these models to identify the best way to classify patient treatment needs. The data set used in this study is EHR data from a private hospital in Indonesia which contains haematocrit, haemoglobin, erythrocytes, leukocytes, thrombocytes, MCH, MCHC, MCV, age, gender, and source (inpatient or outpatient). The data was pre-processed by labelling, variable selection and handling missing and duplicate values. The data set is split for training and testing the models, LSTM and GRU. Performance evaluation is based on accuracy, training time and other relevant metrics to evaluate both the classification precision and computational efficiency of the models. The classification accuracies of the two models were close to each other with LSTM being 75.57% and GRU being 75.34%. However, GRU showed better training efficiency, executing faster than LSTM model. In the cases where the training time efficiency is the priority, the GRU model is the better choice for its faster speed. However, LSTM performs slightly better in terms of accuracy, especially in classifying outpatient cases, making it more appropriate for applications where accuracy is of high importance.
Pengembangan Media Komik Menggunakan Aplikasi Android Kodular Pada Materi Sistem Persamaan Linear Tiga Variabel di Kelas X Riza Sawitri; Rusmining; Windi Aprilia Asidik
Jurnal Pendidikan Matematika Universitas Lampung Vol. 12 No. 4: Jurnal Pendidikan Matematika Universitas Lampung (Desember 2024-Januari 2025)
Publisher : Faculty of Teacher Training and Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/mtk/v12i4.pp279-292

Abstract

This study aims to develop a comic media application of the System of Linear Equations in Three Variables, test the validity and practicality of the System of Linear Equations in Three Variables comic media application for class X students of SMKN 3 Yogyakarta. This research uses the Research and Development (R&D) research method with the ADDIE (Analyze, Design, Development, Implementation and Evaluation) type of development model. Data collection techniques with observation, questionnaires and interviews. Data analysis techniques use analysis of the validity and practicality of comic media. The research involved 5 students for small class trials, and 30 students for large class trials The results of the development in the form of media in the form of System of Linear Equations in Three Variables comic media applications. The results of the study obtained an average score of validity of material experts 59 and media experts 76.5 with “Good” criteria. Practicality test with the results of the average score of practicality of small class trials 68.5 and large class trials 65.72 with “Good” criteria. This shows that the System of Linear Equations in Three Variables comic media application meets the valid and practical criteria so that it is considered as an alternative to be used in learning mathematics.