Article Per Year (5 Year)
p-Index From 2020 - 2025
0.983
P-Index
This Author published in this journals
All Journal Jurnal Pilar Nusa Mandiri JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) KERNEL: Jurnal Riset Inovasi Bidang Informatika dan Pendidikan Informatika Academic Journal of Computer Science Research (AJCSR) Jurnal Informatika Teknologi dan Sains (Jinteks)
Ningrum, Leny Tritanto
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Other

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
DESIGN AND DEVELOPMENT OF WEB-BASED INFORMATION SYSTEM FOR OFFICE STATIONERY PROCUREMENT MANAGEMENT Ginting, Novita BR; Afrianto, Yuggo; Wahyudi, Eko; Ningrum, Leny Tritanto; Jaenudin, Jejen
Jurnal Pilar Nusa Mandiri Vol 18 No 1 (2022): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Peri
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v18i1.2995

Abstract

Office Stationery (ATK) is an item used to do written work such as paper, books, ink, pencils, pens, paper clamps, and others. ATK is a supporting tool that has an important role in implementing the administrative function of a company or agency. The management of ATK procurement in the Bogor Agricultural Institute (IPB) is under the coordination of the Directorate of Infrastructure, Facilities, and Campus Environmental Security (DPSPLK) as a coordination unit at the central level. So far, the procurement of ATK in every work unit in the IPB environment uses a direct purchase method. Direct purchasing methods cause problems and weaknesses, including: (1) price differences between providers for the same goods, (2) the quality of providers varies because each work unit directly selects providers, (3) vulnerability to price manipulation, (4) needed storage space for goods in each unit, (5) management and organization of ATK data are carried out partially in each work unit. Atk data management and organization have not been systemized, making it difficult for DPSPLK to reconcile data. An umbrella contract procurement method (framework contract) is applied to deal with problems in the direct purchase method. Management and organization of unsystematic ATK data, an integrated information system is built to facilitate DPSPLK reconciling data for reporting needs. The information system development method uses the waterfall method and testing using the User Acceptance Test (UAT) black-box type. This research resulted in the procurement and management application of ATK used by DPSPLK
PENERAPAN METODE K-MEANS CLUSTERING UNTUK PEMETAAN PERBAIKAN JALAN DI KOTA BOGOR Wulandari, Annisa; Irmayansyah; Ningrum, Leny Tritanto
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 7 No 1 (2025): EDISI 23
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v7i1.5323

Abstract

Perbaikan jalan sangat penting untuk menjaga fungsinya dalam menunjang ekonomi dan aktivitas sosial. Perbaikan jalan yang terencana bukan hanya sebuah kebutuhan teknis, tetapi juga merupakan investasi untuk keselamatan, efisiensi, dan kesejahteraan masyarakat, Oleh karena itu penting bagi pemerintah dan instansi terkait untuk melakukan perencanaan yang matang dalam program perbaikan infrastruktur jalan. Adapun metode yang digunakan dalam mengelompokan data perbaikan jalan yaitu algoritma K-Means dengan hasil keluaran berupa tiga kluster dimana Klaster 1 merupakan klaster dengan tingkat perbaikan Tinggi, klaster 2 merupakan klaster dengan tingkat perbaikan Sedang, dan klaster 3 merupakan klaster dengan tingkat perbaikan Rendah dan sudah dilakukan uji validitas cluster menggunakan Silhouette Coefficient terhadap algoritma K-means yang diterapkan dengan nilai yang diperoleh sebesar 0,659 yang berarti cluster yang dibentuk termasuk kedalam kategori struktur baik .  Pada ptoyotype aplikasi yang dibangun telah dilakukan uji kelayakan oleh ahli sistem menggunakan metode white box dengan hasil persentase kelayakan sebesar 100% yang dapat dikategorikan ke dalam interpretasi sangat layak”, juga telah dilakukan juga uji kelayakan oleh pengguna menggunakan instrumen Post-Study System Usability Questionaire (PSSUQ) dengan hasil perolehan yakni nilai kepuasan secara keseluruhan sebesar 78,9%, yang artinya aplikasi ini layak digunakan.
Penerapan Algoritma K-Means untuk Pemetaan Kebutuhan Obat Sesuai Prioritas dalam Pengadaan Azizah, Laili Nur; Utari, Lis; Ningrum, Leny Tritanto; Rahmiyati, Dwi
KERNEL: Jurnal Riset Inovasi Bidang Informatika dan Pendidikan Informatika Vol 6, No 1 (2025)
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.kernel.2025.v6i1.7943

Abstract

ABSTRACTEach Ministry/Institution that has a primary clinic has its own budget allocation to support the operational activities of the primary clinic health service. The budget is usually adjusted to the size of the organization and the needs of its employees. One of the budgets is for spending on medical supplies. It is expected that the Primary Clinic, which is within the Ministries or Institutions, can provide health services according to the standards and needs of the scope they serve in accordance with budget availability. For this reason, so that the available budget can be optimized according to existing needs and is right on target, it is necessary to have a careful drug procurement plan. Segmentation/mapping of drug use is said to be important to determine the priority level of drug needs and can be used as a reference in drug procurement. The priority scale of needs in drug procurement is a process for mapping the types of drugs based on their needs by considering the drugs needed and the available budget, to avoid buying drugs that are not needed by the employees. Ideally, the types of drugs with high use are groups of drugs which procurement needs to be prioritized with the aim of ensuring the availability of these drugs. This study uses drug use data for 1 (one) semester, namely January to June 2022, using total usage and number of transactions using the clustering method with the K-Means algorithm. The results of drug mapping resulted in 197 drugs with low priority, 13 drugs with medium priority and 3 drugs with high priority. The results of the clustering results evaluation test show the value of the silhouette coefficient results is 0.8630 or "strong structure
Penerapan Metode K-Means dan Euclidean Distance Untuk Seleksi Metode Judul Tugas Akhir Ningrum, Leny Tritanto; Irmayansyah, Irmayansyah; Utari, Lis
Academic Journal of Computer Science Research Vol 6, No 1 (2024): Academic Journal of Computer Science Research (AJCSR)
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/ajcsr.v6i1.10766

Abstract

Salah satu syarat kelulusan mahasiswa pada sebuah perguruan tinggi yaitu melalui tahap penyelesaian tugas akhir dalam bentuk skripsi sebagai laporan penelitian. Tahap awal penyusunan skripsi yaitu pengajuan judul tugas akhir berdasarkan bidang kajian dan metode yang digunakan. Data skripsi di repository perpustakaan semakin bertambah. Bidang kajian dan metode yang dipilih mahasiwa seringkali serupa dengan data judul skripsi yang tersimpan di perpustakaan. Dari data judul skripsi yang tersimpan tersebut dapat digali pengetahuan agar lebih selektif dalam memberikan persetujuan berdasarkan bidang kajian dan metode judul tugas akhir yang diajukan mahasiswa. Objek pada penelitian ini adalah salah satu perguruan tinggi swasta di Bogor. Adapun tujuan penelitian ini adalah untuk mengetahui sebaran bidang kajian dan metode yang pernah digunakan oleh mahasiswa sebagai bahan evaluasi untuk pengajuan judul skripsi berikutnya sehingga dapat lebih memudahkan bagian akademik. Metode yang digunakan pada penelitian ini adalah algoritma K-Means dan pengukuran jarak data menggunakan Euclidean Distance. Data yang digunakan adalah judul skripsi mahasiswa tahun 2019, 2020, 2021, dan 2022 yang terdiri dari atribut judul, kelas, dan topik penelitian. Dalam proses pengolahannya, dilakukan persiapan data (data preparation) dengan mentransformasikan data judul menjadi atribut metode dan bidang kajian. Setelah dilakukan persiapan data dilakukan proses normalisasi yang bertujuan mengubah data kategori menjadi numerik agar dapat diterapkan pada tahap modeling. Penelitian ini menghasilkan 2 klaster berdasarkan bidang kajian dan metode yang terdiri dari metode Data Mining serta Decision Support System (DSS). Hasil uji akurasi klaster menggunakan Silhoutte Coeffisient sebesar 0,62% dan menunjukkan klaster yang dihasilkan baik dan masuk ke dalam kategori medium structure.
Implementasi Algoritma Apriori Menggunakan Cross-Industry Standar Process for Data-Mining Untuk Menentukan Pola Pembelian Obat Istifarsari, Maya; Ningrum, Leny Tritanto; Utari, Lis
Journal of Information System Research (JOSH) Vol 5 No 4 (2024): Juli 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v5i4.5263

Abstract

In the health sector, the availability of adequate medicines in pharmacies is very important in ensuring patients receive optimal care. The availability of drugs that is not well maintained can hamper the treatment process and have a negative impact on health services as a whole. The problem discussed in this research is the accumulation of drug stock caused by drug purchases that are not balanced with sales, causing losses to the pharmacy. Based on these problems, it can be stated that currently the pharmacy is not appropriate and effective in determining drug purchasing patterns. For this reason, it is necessary to determine drug purchasing patterns at pharmacies using the Apriori algorithm. This research aims to determine drug itemsets based on association rules so that these itemsets can be prioritized for stock in each purchase. This can also be displayed by an application prototype so that it is easier to get a combination of itemsets in determining drug purchases to help anticipate drug supply needs to be more efficient. . The final result of this research is a combination of itemsets in the form of drug items that meet the requirements for a minimum support value of 25% and a minimum confidence value of 60%, namely Methylprednisolone 4mg Novel and Paracetamol Mef with a support value of 41.57% and a confidence value of 62.50%. FG Troches and Paracetamol Mef with a support value of 25% and a confidence value of 100%, as well as Metformin 500MG Hj and Sanmol Tab with a support value of 25% and a confidence value of 60%. The final result of the association rules was an evaluation test to measure the strength of the relationship between items using the lift ratio and produced a value above 1%, namely an average test value of 2.4%, so it can be stated that the a priori results are said to be valid or strong.
Co-Authors EKO WAHYUDI Irmayansyah Irmayansyah, Irmayansyah Istifarsari, Maya Jejen Jaenudin Laili Nur Azizah Novita Br Ginting Rahmiyati, Dwi Utari, Lis Wulandari, Annisa Yuggo Afrianto