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The The Use of Distance Blocks Representative to Avoid Empty Groups Due to Non-unique Medoids: - Kariyam Kariyam; Abdurakhman Abdurakhman; Adhitya Ronnie Effendie
Eduvest - Journal of Universal Studies Vol. 2 No. 10 (2022): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

The existence of identical objects in a data set is a necessity. This paper proposes a new indicator and procedure to obtain the initial medoids. The new algorithm guarantees no empty groups and identical objects in the same group, either in the initial or final groups. We use six real data sets to evaluate the proposed method and compare the results of other methods in terms of adjusted Rand index and clustering accuracy. The experiment results show that the performance of the proposed method is comparable with other methods

Clustering of Study Program Using of Block-Based K-Medoids Muna, Asa Nugrahaini Itsal; Kariyam, Kariyam
Jurnal Varian Vol 8 No 1 (2024)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v8i1.3181

The purpose of this research is to classify Study Programs based on eleven mixed data from InternalQuality Management System (QMS) indicators. This grouping can provide a clearer picture of howQMS affects the performance and quality of study programs. By understanding these clusters, universities can identify and design more effective strategies to improve the quality of education. The dataused comes from the National Accreditation Board for Higher Education (BAN-PT) and the websitedatabase, which consists of seven numerical variables: number of lecturers, percentage of doctors, percentage of professors and associate professors, student enumeration, percentage of graduates, programexperience, and availability of laboratories. Meanwhile, the categorical variable consists of four variables: National Accreditation Board of Higher Education (BAN-PT) research ranking, accreditation,international recognition, and level of community service. The clustering method used is the blockbased k-medoids (block-based KM), and multivariate analysis of variance (MANOVA). We applied theDeviation Ratio Index based on K-Medoids (DRIM) to determine the number of clusters. This researchresults that the optimal number of groups that must be formed is three. Based on MANOVA the resultsshowed that the group consisting of 12 study programs had better QMS outcomes than the other twogroups.

Pemilihan Sister City untuk Kabupaten/Kota Non-Sampel Survei Biaya Hidup di Jawa Barat menggunakan Jarak Euclidean: Pemilihan Sister City untuk Kabupaten/Kota Non-Sampel Survei Biaya Hidup di Jawa Barat menggunakan Jarak Euclidean Putri, Eileen Lyana; Kariyam, Kariyam
Emerging Statistics and Data Science Journal Vol. 3 No. 2 (2025): Emerging Statistics and Data Science Journal
Publisher : Statistics Department, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/esds.vol3.iss.2.art10

Penentuan sister city berdasarkan indikator pengeluaran pola konsumsi masyarakat dapat memberikan gambaran yang akurat tentang karakteristik kesamaan ekonomi antar wilayah. Penelitian ini memanfaatkan data hasil survei sosial ekonomi nasional untuk memilih sister city bagi Kabupaten/Kota tanpa Survei Biaya Hidup (SBH) di Jawa Barat. Kemiripan antar wilayah didasarkan pada tujuh area pengeluaran konsumsi, yaitu kelompok makanan, perumahan dan fasilitas rumah tangga, aneka barang dan jasa, sandang, barang tahan lama, barang tidak tahan lama dan keperluan pesta/upacara. Ukuran kedekatan yang digunakan adalah jarak Euclidean dengan standardisasi data berbasis peringkat fraksional terkoreksi. Pendekatan metode tersebut menghasilkan delapan sister city bagi tujuh belas Kabupaten/Kota non-SBH di Jawa Barat. Kabupaten Bandung sister city bagi Kabupaten Sukabumi, Tasikmalaya, dan Bandung Barat. Kabupaten Cianjur, Garut, Kuningan, Cirebon dan Kota Banjar menempatkan Kabupaten Majalengka sebagai sister city. Kabupaten Subang, Bogor, Kota Bandung dan Depok, secara berurutan sister city bagi Kabupaten Indramayu, Bekasi, Kota Sumedang dan Cimahi. Kota Cirebon sister city bagi Kabupaten Bogor dan Karawang, dan Kota Tasikmalaya sister city bagi Kabupaten Ciamis, Purwakarta, dan Pangandaran

Implementation of the K-Medoids Clustering Method in Grouping Districts in Sleman Regency, Yogyakarta According to the Amount of Fruit Production in 2023 Wijayati, Puspa Chandra; Kariyam, Kariyam
Darul Ilmi: Jurnal Ilmu Kependidikan dan Keislaman Vol 13, No 1 (2025)
Publisher : UIN Syekh Ali Hasan Ahmad Addary Padangsidimpuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24952/di.v13i1.17054

Agriculture is one of the main factors in economic development in Indonesia, as Indonesia is an agrarian country. The government also expects agricultural production of food crops to increase every year. This study aims to determine the clustering results and characteristics of each sub-district in Sleman Regency based on the amount of fruit production. The method used in this research is K-Medoids Clustering. The K-Medoids method includes a clustering algorithm that is quite efficient in clustering small data and finding the most representative points and being able to overcome outliers. The results showed the application of the K-Medoids method resulted in 5 clusters where Cluster 1 has 4 sub-districts namely, Moyudan, Minggir, Seyegan, and Godean sub-districts, Cluster 2 has 5 sub-districts namely, Gamping, Mlati, Depok, Berbah, and Prambanan sub-districts, Cluster 3 has 4 sub-districts namely, Kalasan, Ngemplak, Ngaglik, and Sleman sub-districts, Cluster 4 has 2 sub-districts namely, Tempel and Turi sub-districts, and Cluster 5 has 2 sub-districts namely, Pakem and Cangkringan sub-districts.

Crosstab Analysis Method to Examine the Relationship between Types of Natural Disasters and Districts/Cities in the Province of DIY Safrani, Nurlaila; Kariyam, Kariyam
Darul Ilmi: Jurnal Ilmu Kependidikan dan Keislaman Vol 12, No 2 (2024)
Publisher : UIN Syekh Ali Hasan Ahmad Addary Padangsidimpuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24952/di.v12i2.17154

Disaster is a natural event, man-made or a combination of both that occurs suddenly, causing a devastating negative impact on the continuity of life. This study aims to determine the descriptive tendency of disaster types in the province of Yogyakarta Istimewah Area (DIY) and determine the relationship between districts and types of natural disasters including strong winds, floods, building fires, landslides, forest and land fires, in DIY Province namely Gunung Kidul, Bantul, Sleman, Kulonprogo, and Yogyakarta City. The method used in this research is Crosstabs analysis to find out the relationship between disaster types and districts/cities in Yogyakarta Province in 2023. The results of the analysis show that there is a significant relationship between districts/cities and types of natural disasters.

Implementation of Hotelling’s T2 Method in Quality and Capability Control of Newlab Collagen Production Processes Indrani , Rahmadana Kadija; Kariyam, Kariyam
Enthusiastic : International Journal of Applied Statistics and Data Science Volume 5 Issue 2, October 2025
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/enthusiastic.vol5.iss2.art1

Every company has quality standards that are determined for the production process. However, there are factors that occur in the production process that causes defects in the product. From these problems, this research was conducted to analyze the quality control, causal factors, and performance of the production process on Newlab Collagen products. The methods used in production quality control were Hotelling’s T2 control chart, fishbone diagram, and process capability analysis. In the Hotelling’s T2 control chart, the multivariate observation data was divided into two phases, with five quality indicators. The results of the first phase of the Hotelling’s T2 control map showed that the quality indicators of the Newlab Collagen production were out of control, which caused by unstable machine factors. Based on control chart, the second phase showed that the quality indicators of the Newlab Collagen production process were still out of control. This condition was evidenced by the process capability value in phase I and phase II being less than one. These findings suggest that the company needs to make improvements, optimization, and quality control in the production.

Clustering of Study Program Using of Block-Based K-Medoids Muna, Asa Nugrahaini Itsal; Kariyam, Kariyam
Jurnal Varian Vol. 8 No. 1 (2024)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v8i1.3181

The purpose of this research is to classify Study Programs based on eleven mixed data from InternalQuality Management System (QMS) indicators. This grouping can provide a clearer picture of howQMS affects the performance and quality of study programs. By understanding these clusters, universities can identify and design more effective strategies to improve the quality of education. The dataused comes from the National Accreditation Board for Higher Education (BAN-PT) and the websitedatabase, which consists of seven numerical variables: number of lecturers, percentage of doctors, percentage of professors and associate professors, student enumeration, percentage of graduates, programexperience, and availability of laboratories. Meanwhile, the categorical variable consists of four variables: National Accreditation Board of Higher Education (BAN-PT) research ranking, accreditation,international recognition, and level of community service. The clustering method used is the blockbased k-medoids (block-based KM), and multivariate analysis of variance (MANOVA). We applied theDeviation Ratio Index based on K-Medoids (DRIM) to determine the number of clusters. This researchresults that the optimal number of groups that must be formed is three. Based on MANOVA the resultsshowed that the group consisting of 12 study programs had better QMS outcomes than the other twogroups.

Pengelompokan Sektor Pipa Minyak dan Gas dengan Metode K-Medoid Berbasis Blok Dimas Zahran Wicaksana; Kariyam, Kariyam; Suryanto, Tri
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 7, ISSUE 1, April 2026
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA.vol7.iss1.art7

Effective oil and gas pipeline management requires a data-driven approach to identify segments with varying risk characteristics. This study aims to classify pipeline segments based on protective infrastructure conditions using the Block-Based K-Medoids clustering method. The analysis considers six variables: Pipeline Burial, Pipe Along Road, Pipe Guards, Berm/Rail/Guard Condition, Public Road, and ROW HCA along a 59-kilometer pipeline corridor. Data were normalized, and the optimal number of clusters was determined using the Deviation Ratio Index based on Medoid (DRIM), which indicated three clusters as the most representative structure. The results demonstrate clear differentiation among segments in terms of exposure level, protective condition, and HCA involvement, enabling classification into low-, moderate-, and high-risk groups. Spatial visualization further confirms systematic risk distribution along the route. These findings provide a structured basis for prioritizing inspection, maintenance, and mitigation strategies in pipeline infrastructure management.

Aedes aegypti Larvae and Their Association with Air Temperature and Water pH in Cipadung Kulon, Bandung Sutriyawan, Agung; Fajriyah, Rohmatul; Kariyam, Kariyam
Jurnal Epidemiologi Kesehatan Komunitas Vol 11, No 1: Februari 2026
Publisher : Master of Epidemiology, Faculty of Public Health, Diponegoro University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jekk.v11i1.31586

Background: Dengue remains a significant public health problem in Indonesia, particularly in urban and semi-urban areas. Bandung City continues to experience increasing dengue cases annually. Understanding the environmental factors associated with Aedes aegypti larvae and their spatial distribution is important to support targeted vector control strategies. This study aimed to describe the spatial distribution of Aedes aegypti larvae and to examine its association with air temperature and water pH levels.Methods: The study employed a cross-sectional design with an analytical approach. It was conducted in Cipadung Kulon Subdistrict, Bandung City, from May - July 2024. A total of 95 households were selected using proportional and systematic random sampling techniques. Data were collected through direct observation. Spatial distribution was presented descriptively, while associations between variables were analyzed using the chi-square test.Result: Among 95 households, 71.6% (68/95) were positive for Aedes aegypti larvae. Air temperature was significantly associated with larval presence (p = 0.035; PR = 1.43). Households with optimum air temperature (25–30°C) had a higher prevalence of larvae compared to those with suboptimal temperature. Water pH levels were also significantly associated with larval presence (p = 0.002; PR = 1.60), with higher prevalence observed in households with pH levels of 6.0–7.5.Conclusion : The presence of Aedes aegypti larvae at the household level was associated with air temperature and water pH. Maintaining proper environmental conditions in water storage containers and strengthening community-based vector control practices are important to reduce larval habitats.

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