Article Per Year (5 Year)
p-Index From 2021 - 2026
1.066
P-Index
This Author published in this journals
All Journal Telematika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research Information System for Educators and Professionals : Journal of Information System Seminar Nasional Teknologi Informasi Komunikasi dan Industri Jikom: Jurnal Informatika dan Komputer Jurnal INFOTEL Jurnal Pengabdian Masyarakat
Saputra, Pelsri Ramadar Noor
Sekolah Tinggi Ilmu Komputer PGRI Banyuwangi
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mathematics Other

Published : 8 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 8 Documents
Search

 1 
Pengelompokan Data Puskesmas Banyuwangi Dalam Pemberian Imunisasi Menggunakan Metode K-Means Clustering Ahmad Chusyairi; Pelsri Ramadar Noor Saputra
Telematika Vol 12, No 2: Agustus (2019)
Publisher : Universitas Amikom Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (520.929 KB) | DOI: 10.35671/telematika.v12i2.848

Abstract

Peningkatan pelayanan dan penyuluhan layanan imunisasi untuk ibu, bayi dan balita di Puskesmas dalam mencapai target cakupan Imunisasi Dasar Lengkap (IDL). Kabupaten Banyuwangi memiliki 45 Puskesmas yang akan dikelompokkan menjadi 3 kategori, yaitu: Puskesmas mencapai target IDL dengan status cukup, Puskesmas mencapai target IDL dengan status kurang, dan Puskesmas mencapai target IDL dengan status sangat baik. Tujuan penelitian ini adalah untuk mengetahui Puskesmas dalam mencapai target cakupan IDL di Kabupaten Banyuwangi. Metode yang digunakan dalam penelitian ini adalah K-Means Clustering, dimana metode ini dapat mencari partisi yang maksimal dengan prosedur iterasi yang optimal dalam mengelompokkan data secara tepat, dan memiliki ketelitian yang akurat terhadap ukuran objek, sehingga lebih terukur dan efisien dalam pengolahan data yang besar. Kesimpulan dalam penelitian ini adalah cluster pertama memiliki 19 data puskesmas dengan target imunisasi cukup, cluster kedua memiliki 24 data puskesmas dengan target imunisasi kurang, dan cluster ketiga memiliki 2 data puskesmas dengan target imunisasi sangat baik, sehingga Dinas Kesehatan dapat memberikan tugas tambahan bagi kelompok Puskesmas yang memiliki target IDL dengan status kurang untuk mengurangi angka penyakit-penyakit yang dapat dicegah dengan imunisasi (PD3I). Improvement of immunization services and counselling services for mothers, infants, and toddlers in health care centres in achieving the target of Complete Basic Immunization (IDL). Banyuwangi Regency has 45 Puskesmas which will be grouped into 3 categories, namely: Puskesmas achieving IDL targets with sufficient status, Puskesmas achieving IDL targets with insufficient status, and Puskesmas achieving IDL targets with very good status. The purpose of this study was to determine the health centre in achieving the target of IDL coverage in the Banyuwangi Regency. The method used in this research is K-Means Clustering. This method will seek a maximal partition with optimum iteration procedure and has the best precision of the object measurement, so it is more scalable and efficient in processing a large data. The conclusion in this study is the first cluster has 19 health care centers data with sufficient immunization targets, the second cluster has 24 health care centers data with fewer immunization targets, and the third cluster has 2 health care centers data with very good immunization targets, so the Health Office can provide additional tasks for the Puskesmas group who have IDL targets with insufficient status to reduce the number of diseases that can be prevented by immunization (PD3I).
Comparison of Clustering Methods in Grouping Puskesmas Data on Complete Basic Immunization Coverage Pelsri Ramadar Noor Saputra; Ahmad Chusyairi
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 6 (2020): Desember 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (785.837 KB) | DOI: 10.29207/resti.v4i6.2556

Abstract

The coverage of Health Care Center toward UCI (Universal Child Immunization) at Banyuwangi Regency in 2018 met the target 91%. Onfortunately with a high amount of immunization, the number of infant deaths reached 138 infants. Total number increased 111 from the previous year. A review of the complete basic immunization data needs to be done. In this research, a clustering method was proposed by comparing the K-Means and Fuzzy C-Means (FCM) algorithm in grouping Health Care Center data. Silhouette Coefficient and Standart Deviation were used to evaluate clusters that were perfomed to find out the accuracy in grouping data. The result showed that the FCM algorithm was better than K-Means based on Silhouette Coefficient results that were close to good, and the calculation of Standart Deviation had a smaller result that was 0.0918 than K-Means with the results of 0.0942. The Grouping of Heath Care Center data can be considered by the Health Department of Banyuwangi Regency in evaluating complete basic immunization services, especially in groups with poor immunization services to reduce infant and child mortality, so a disease that can be prevented with immunization become lower.
COMPARISON OF DISTRIBUTED DATA MINING FOR SELECTION OF THE PROPER MAJORS Pelsri Ramadar Noor Saputra; Hadiq Hadiq
Seminar Nasional Teknologi Informasi Komunikasi dan Industri 2017: SNTIKI 9
Publisher : UIN Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (615.172 KB)

Abstract

The majors in STIKOM PGRI Banyuwangi are Artificial Intellegence, Software Engineering and Networking. The students have a different ability on IQ and talent, so the student must choose the majors according to their ability in the field of interest. Grades start from semester 1 until the semester 4 constitute basic ability to be a consideration in determining the right majors. To overcome this problem, this research uses classification technique, which is comparing several algorithms among others C4.5, Naïve Bayes, KNN, Random Forest, and SVM. This algorithm applies to build classification selection of the proper majors. Pairwise T-Test determine as an accuracy indicator to evaluate the performance of classifiers. Results showed that C4.5 seemed to be the best of five classifiers which had highest prediction result. C4.5 was used to generate data which can be used to classifying student majors in STIKOM PGRI Banyuwangi. And the results of the accuracy of other methods close to the results of the method C4.5.
Sistem Pakar Psikologi Perkembangan Anak Menggunakan Algoritma Cosine Pelsri Ramadar Noor Saputra
Jurnal Informatika dan Komputer Vol 13 No 1 (2023): April
Publisher : Sekolah Tinggi Ilmu Komputer PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55794/jikom.v13i1.97

Abstract

An expert system is a system that is used to find a solution to an existing problem by using the knowledge base that is stored in the system. Expert systems are not used to replace existing experts, but rather aim to help the work of experts. With this system, ordinary people can solve certain problems from simple to complex without the need for experts in that field. As for experts, this system can be used as an experienced assistant. The expert application that is being developed in this task aims to detect the psychology of child development based on the symptoms that are observed. This application uses the Cosine Algorithm as a calculation formulation. All symptoms will be displayed, and those selected will be automatically processed using the cosine algorithm to obtain disease results. When the symptoms are selected again, the data will be recalculated from the beginning based on the selected symptoms. Based on the results of the trials that have been conducted, it has been shown that while the calculation using the cosine algorithm is somewhat complex, the accuracy of the cosine calculation is high in determining the child's psychological condition based on the selected symptoms.
PEMANFAATAN NEXTJS DAN MONGODB DALAM SISTEM INFORMASI WEB MANAJEMEN DATA BERAS PADA UD SRI UTAMI Munif Sanjaya; Pelsri Ramadar Noor Saputra
INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS : Journal of Information System Vol 8 No 1 (2023): INFORMATION SYSTEM FOR EDUCATORS AND PROFESSIONALS (Agustus 2023) - Edisi Khusus
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Bina Insani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51211/isbi.v8i1.2414

Abstract

Beras termasuk bahan makanan pokok bagi masyarakat Indonesia. Saat ini banyak pabrik atau perusahaan yang menjual beras dalam bentuk merk atau bentuk bahan, termasuk pada penggilingan padi. Salah satu perusahaan penggilingan padi yaitu UD Sri Utami yang bergerak di bidang pemasaran beras. Dalam manajemen data perusahaan serta pemasarannya selama ini masih menggunakan cara manual. UD. Sri Utami ingin merubah model pemasarannya dengan sistem penjualan berbasis Website dengan menggunakan metode Waterfall. Sistem dibangun menggunakan JavaScript, framework NextJS, dan database MongoDB. Pemanfaatan NextJS karena memiliki konsep Server-Side Rendering dan MongoDB berbasis dokumen (JSON) berbasis Cloud. Berdasarkan perancangan sistem, pengembangan sistem berjalan dengan baik yang dibuktikan dari hasil pengujian Blackbox Testing. Dengan adanya pengembangan sistem ini maka dapat membantu UD. Sri Utami dalam manajemen data, termasuk dalam hal pemasaran dan penjualan beras
Fuzzy C-Means Clustering Algorithm For Grouping Health Care Centers On Diarrhea Disease Chusyairi, Ahmad; Saputra, Pelsri Ramadar Noor; Zaenudin, Efendi
International Journal of Artificial Intelligence Research Vol 5, No 1 (2021): June 2021
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (290.71 KB) | DOI: 10.29099/ijair.v5i1.191

Abstract

In Indonesia, public health services at the city or district level are carried out by regional public hospitals or “puskesmas” (health care centers), especially in Banyuwangi regency, East Java, Indonesia that has 45 health care centers spread throughout the villages. This research focused on the deaths of babies caused by diarrhea diseases, which are the second leading cause of death among children younger than 5 years globally. All of the health care centers need to be divided into 3 groups to find out which health care centers have the least, most moderate, and many diarrhea sufferers. Fuzzy C-Means algorithm is used to overcome this problem. The result from this research shown that 2 health care centers have the smallest member of diarrhea sufferers, 14 health care centers have a medium member of diarrhea sufferers, and the rest have a large number of diarrhea sufferers. From the result of this study, it can be a reference for the health department center in dealing with diarrheal diseases, accordingly, the infant mortality rate due to diarrheal diseases can be lowered to health care centers that have high diarrhea sufferers.
Assessment decisions of independent learning activities using SMART-FCM method Pelsri Ramadar Noor Saputra; Sulaibatul Aslamiyah; Ahmad Chusyairi
JURNAL INFOTEL Vol 15 No 1 (2023): February 2023
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v15i1.888

Abstract

Sekolah Tinggi Ilmu Komputer (STIKOM) PGRI Banyuwangi implemented the Independent Learning - Independent Campus (MBKM) activity for two semesters. The results of student assessments for MBKM activities for one semester are influenced by the results of daily and weekly logbook monitoring, monitoring and evaluation assessments, and assessments of supervisors, examiners, and work partners. Assessments that are less objective cause many students to get good grades even though the implementation of MBKM activities is not well. The Simple Multi-Attribute Rating Technique (SMART) method is used to produce student eligibility group data and a more objective assessment. The results of the SMART calculations are combined with the Fuzzy C-Means (FCM) algorithm so that the results of grouping student data are more appropriate based on the similarities and characteristics of the members. Silhouette Coefficient is used to compare the grouping results. The results obtained that the use of SMART-FCM is better than the SMART results because it has a Silhouette Coefficient value close to 1 of 0.31187.
Pemanfaatan Desain Sebagai Sarana Informasi Kegiatan Dan Pembelajaran di Rumah Literasi Indonesia Banyuwangi Pelsri Ramadar Noor Saputra; Khoirunnisa Khoirunnisa
Jurnal Pengabdian Masyarakat Vol. 1 No. 2 (2025): Maret
Publisher : LPPM Sekolah Tinggi Ilmu Komputer PGRI Banyuwangi

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

Abstract

Berdasarkan hasil survey yang telah dilakukan oleh Program for International Student Assessment (PISA) menunjukkan hasil bahwa Indonesia termasuk negara dengan peringkat rendah dalam literasi. Hal ini tentu menjadi permasalahan dan tantangan karena literasi berpengaruh dengan peningkatan nilai karakter dan kemampuan berpikir kritis. Rumah Literasi Indonesia (RLI) selaku komunitas yang fokus terhadap literasi dan numerasi hadir untuk peningkatan membaca dan menulis sedari dini. Saat ini RLI telah memiliki 57 cabang rumah baca yang tersebar di kabupaten Banyuwangi. Untuk membantu kegiatan-kegiatan yang dilaksanakan di RLI, maka pada pengabdian ini berfokus pada mendesain kebutuhan pada RLI meliputi infografis, informasi, dan sebagainya. Tujuan dari kegiatan pengabdian ini adalah dapat membantu RLI dalam mengkampanyekan kegiatannya secara lebih baik dan luas, termasuk kegiatan kerelawanan yang terdapat di RLI seperti wisata literasi, bookbuster, 1000 rumah baca, dan lainnya. Sehingga kesadaran akan literasi dapat semakin meningkat terutama bagi usia dini. Hasil yang didapat selama kegiatan pengabdian ini adalah dapat menghasilkan beberapa desain yang digunakan di RLI. Dan kegiatan ini dapat meningkatkan kualitas desain bagi penulis.
Co-Authors Aslamiyah, Sulaibatul Chusyairi, Ahmad Hadiq, Hadiq Khoirunnisa Khoirunnisa Munif Sanjaya Zaenudin, Efendi