Article Per Year (5 Year)
p-Index From 2020 - 2025
1.431
P-Index
This Author published in this journals
All Journal EKSAKTA: Journal of Sciences and Data Analysis Jurnal Ilmu Dasar Jurnal Ilmiah Kursor Jurnal Teknologi Prosiding SNATIF UNEJ e-Proceeding Jurnal Varian Darul Ilmi: Jurnal Ilmu Kependidikan dan Keislaman Infokes : Jurnal Ilmiah Rekam Medis dan Informasi Kesehatan Enthusiastic : International Journal of Applied Statistics and Data Science Eduvest - Journal of Universal Studies Emerging Statistics and Data Science Journal
Kariyam -
Prodi Statistika, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Islam Indonesia
Religion Aerospace Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Veterinary Other

Published : 16 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 16 Documents
Search

 1   2 
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (778.642 KB) | DOI: 10.59188/eduvest.v2i10.625

Abstract

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

Abstract

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

Abstract

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

Abstract

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

Abstract

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

Abstract

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.
Co-Authors Abdurakhman Abdurakhman Adhitya Ronnie Effendie, Adhitya Ronnie Agung Purwo Wicaksono Alfian Nurlifa Ayu N, Zia Darmawan - Hajar Hajar Heni Pujiastuti Indrani , Rahmadana Kadija Izzati Muhimmah Jannati W, Maulida Kusumadewi S. Muna, Asa Nugrahaini Itsal Neny Sulistianingsih Putri, Eileen Lyana Rohmad P, Arif Safrani, Nurlaila Sri Kusumadewi Sulistianingsih N. Sulistya Ningrum, Herlina Catur Wijayati, Puspa Chandra Zikriandhini Zikriandhini