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All Journal International Journal of Advances in Applied Sciences InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Sinkron : Jurnal dan Penelitian Teknik Informatika SemanTIK : Teknik Informasi Jurnal Pengabdian Pada Masyarakat INTI Nusa Mandiri Journal of Students‘ Research in Computer Science (JSRCS) J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Pengabdian Pada Masyarakat J-Icon : Jurnal Komputer dan Informatika DIMASEJATI:Jurnal Pengabdian Kepada Masyarakat
Ester Arisawati
Universitas Nusa Mandiri
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Penerapan K-Nearest Neighbor Berbasis Genetic Algorithm Untuk Penentuan Pemberian Kredit Arisawati, Ester
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 1, No 1 (2017): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (614.67 KB) | DOI: 10.30645/j-sakti.v1i1.24

Abstract

Consumer financing is financing activities for the procurement of goods based on the needs of consumers with payment in installments. While the Financing Company is a business entity specifically set up to conduct leasing, factoring, consumer finance, or business credit card. The finance company will approve the proposed consumer credit after a credit analysis of the feasibility of providing consumer financing, if approved and not disetujui.Dalam analysis process for consumers, there are some that are not accurate, therefore consumers can not afford to pay in a timely manner resulting in bad debts , To solve the problem we need a model that is able to classify and predict consumer data is problematic and not problematic. In this research, testing ie k-Nearest Neighbor and k-Nearest Neighbor optimized genetic algorithm is applied to the data consumer that gets better the consumer credit financing is problematic or not. From the test results by measuring the performance of the three algorithms using Cross Validation testing methods, Confusion Matrix and ROC curves, it is known that the k-Nearest Neighbor algorithm optimized Genetic Algorithm has the AUC value and highest accuracy.
Sistem Pembuatan Jaminan Tender Pada Perusahaan Jasa Pembuatan Asuransi Dewi, Linda Sari; Arisawati, Ester; Sihombing, Erene Gernaria; Maulida, Linda
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 2, No 1 (2018): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v2i1.56

Abstract

A loss-making service company does not yet have a website on the information of making a Tender Guarantee as a prospective principal registration medium that will use our services for the manufacture of warranties. From the system that will be made to facilitate the making of guarantee which is certificate of Bank Guarantee. The purpose of this study to produce a system of information creation and website-based registration and registration. Online information is an important part of the development of technology in the internet world. The use of website media is very profitable for many parties, for the principal or the party of the company making the loss insurance services. The design of information systems making of this guarantee is made to assist and simplify the entire process of making the existing collateral in the company.
Animasi Interaktif Kesenian Dan Kebudayaan Jawa Barat Untuk Sekolah Dasar Dewi, Linda Sari; Arisawati, Ester; Sihombing, Erene Gernaria
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 1, No 2 (2017): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v1i2.37

Abstract

Multimedia aims to present information in the form of a fun, exciting, easy to understand and clear. Then by using interactive animation application as an information medium, Indonesian culture can be delivered using an easy and attractive way. Interactive multimedia learning model is very effective. This can be seen because of the many animated elements. This interactive multimedia learning model will make students do not get bored because students will feel how to play and learn with students will be quicker to capture in the learning takes place, especially to get to know art and culture in western Java. In this interactive animation applications also can increase children's knowledge in order to know more about art and culture located in western Java. In this application contains information cultural arts western Java will students can increase the pride and love of the homeland Indonesia
Analisa Kemanfaatan Dan Kemudahan Terhadap Penerimaan Sistem OPAC Menggunakan Metode TAM Kharismaya, Citra; Dewi, Linda Sari; Arisawati, Ester; Handayanna, Frisma
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 1, No 1 (2017): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v1i1.27

Abstract

This study describes the reception OPAC Davis 1989 TAM variables namely perceived usefulness (perceived benefit), perceived ease of use (ease perceived) and accepted (acceptance) OPAC. In this study, data were collected through a questionnaire using Likert scale to 100 users si¬stem den response OPAC (Online Public Access Catalog). Sampling technique used is purposive sampling to determine the level of acceptance of the system OPAC (Online Public Access Catalog). Quantitative analysis includes the validity, reliability. In the classic assumption test, used test for normality, multicollinearity and heterokedastisitas with F and t hypothesis testing. Multiple linear regression analysis is used to determine the effect of the independent variables with the dependent variable. The results showed that perceived usefulness and perceived ease have a significant effect on the acceptance by the user system (R Square) amounted to 40.8%.
Analisis Algoritma Datamining pada Kasus Daerah Pelaku Kejahatan Pencurian Berdasarkan Provinsi R, Rinawati; Sihombing, Erene Gernaria; Dewi, Linda Sari; Arisawati, Ester
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 1 (2020): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v4i1.189

Abstract

Theft is a behavior that causes harm to victims who are targeted and can cause victims. The level of theft behavior is increasing in each region due to the increasing number of unemployment and lazy nature of work that makes a person commit theft to make ends meet. The purpose of this study was to analyze using the technique of datamining in the area of perpetrators of theft crimes by province. The technique used is clustering with the K-means method. Data sourced from the Indonesian Central Statistics Agency with the url address: https://www.bps.go.id/. The results of the study using this technique are clustered in areas in Indonesia which have the highest crime theft rates. From the results of the study using the K-means technique, that there are 17 provinces out of 34 provinces that have the highest crime theft (C1) areas, namely: Aceh, North Sumatra, West Sumatra, Riau, Jambi, South Sumatra, Lampung, DKI Jakarta, West Java, Central Java, East Java, Banten, West Nusa Tenggara, East Nusa Tenggara, South Kalimantan, South Sulawesi, Papua. The results of the study are expected to be information for the government in conducting policies to reduce the crime crime rate in Indonesia which is very high (50%).
WEBSITE DESIGN FOR NUTRITION STATUS CLASSIFICATION OF TODDLERS USING UI/X WITH K-MEDOIDS ALGORITHM Arisawati, Ester; Rinawati, Rinawati; Sihombing, Erene Gernaria; Handayanna, Frisma; Dewi, Linda Sari
J-Icon : Jurnal Komputer dan Informatika Vol 13 No 1 (2025): March 2025
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v13i1.21164

Abstract

Nutritional needs in Indonesia vary based on age, gender, physical activity, and an individual's health condition. According to Regulation of the Minister of Health of the Republic of Indonesia No. 28 of 2019, the Recommended Dietary Allowance (RDA) issued by the Ministry of Health provides guidelines on daily energy (calorie) requirements. For infants aged 0 to 12 months, the required intake is 550–725 kcal. The toddler phase (0–5 years old) is a golden period of growth, during which physical and brain development occurs rapidly. Malnutrition during this period can lead to growth disorders such as stunting, which has long-term effects on a child's health and intelligence. To determine a toddler's nutritional status, it is essential to classify their status based on weight and height ratio, commonly measured using Body Mass Index (BMI). BMI is used to determine whether a child's weight falls into the normal, underweight, or obese category. Therefore, regular monitoring is necessary to detect nutritional problems early, enabling proper intervention. This study aims to develop a website using the k-medoids algorithm to assess toddlers' nutritional status. The calculation process in this study, which involves 30 toddler data samples, determines the number of toddlers in each cluster: normal nutrition status, undernutrition, and obesity. The study also applies a Confusion Matrix to evaluate the clustering performance, including accuracy, precision, and recall. The evaluation results show that the k-medoids algorithm performs perfectly, achieving 100% accuracy for all clusters. This indicates that k-medoids successfully classifies the data into clusters without errors.
Instalasi dan Implementasi Perangkat CCTV bagi Warga dan Karang Taruna Desa Cikedokan Cikarang Barat Akmaludin Akmaludin; Erene Gernaria Sihombing; Rinawati Rinawati; Linda Sari Dewi; Ester Arisawati
Dimasejati: Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 3 (2023): Penguatan Peran Perguruan Tinggi dalam Percepatan Pembangunan Sumber Daya Manus
Publisher : Universitas Islam Negeri Siber Syekh Nurjati Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70095/dimasejati.v5i3.13672

Abstract

Cikedokan is a village located in the West Cikarang sub-district, Bekasi Regency, West Java Province. The residents and youth of Karang Taruna in Cikedokan Village certainly want to know and develop the application of technology to advance Cikedokan Village, so they need knowledge about CCTV installation. The problem faced in the Cikedokan Village environment is that there are no resident personnel and Youth Organizations in Cikedokan Village who are able to do so. We, from the Nusa Mandiri University Lecturers, provide counseling in the form of Community Service providing solutions to overcome the problems faced by residents and the Karang Taruna of Cikedokan Village to provide installation training for CCTV devices. We do this with the aim of providing full support to residents and youth organizations in mastering the devices used in CCTV installations optimally, so that this training activity is expected to be useful for implementing the use of CCTV for various purposes so that it can be implemented, especially in increasing citizen knowledge. and Karang Taruna of Cikedokan Village. The results of this Community Service activity provided an increase in understanding and mastery of CCTV camera installation as a basic step through the stages of the installation process and its application, in the Cikedokan Village environment, West Cikarang. The residents and Karang Taruna of Cikedokan Village hope that it will be necessary to hold it again to better understand and expedite the assembly of the CCTV camera installation.
PENERAPAN METODE CLUSTERING DENGAN ALGORITMA K-MEANS UNTUK SEGMENTASI PELANGGAN PADA CV. SINAR SURYA Maryana Maryana; Arif Sugianto; Nurmalasari Nurmalasari; Ester Arisawati
INTI Nusa Mandiri Vol. 13 No. 1 (2018): INTI Periode Agustus 2018
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v13i1.1713

Abstract

Persaingan yang ketat dalam bidang distribusi sembako, mengharuskan CV Sinar Surya untuk mengelola pelanggan secara maksimal. Mengetahui nasabah yang loyal akan membantu perusahaan menentukan strategi pemasaran yang tepat. Penelitian ini bertujuan untuk menentukan pelanggan potensial, pelanggan yang loyal terhadap perusahaan. Pelanggan potensial ditentukan dengan segmentasi pelanggan. Model yang digunakan untuk segmentasi yaitu RFM (Recency, Frequency, and Monetary) dan teknik data mining yaitu metode clustering dengan algoritma K-Means. Software yang digunakan untuk mengolah RFM Model yaitu Microsoft Excel versi 2010 sedangkan untuk mengolah metode clustering yaitu Rapid Miner versi 9.0. Hasil dari segmentasi ini membagi pelanggan menjadi 2 cluster. Jumlah cluster terbaik ditentukan berdasarkan davies bouldin index. Cluster pertama yaitu cluster 0 terdiri dari 261 pelanggan dengan RFM Score antara 111 – 543. Cluster pertama termasuk kelompok Everyday Shopper. Cluster kedua yaitu cluster 1 terdiri dari 102 pelanggan dengan RFM Score 443 – 555. Cluster kedua termasuk kelompok Golden Customer
Co-Authors Akmaludin Akmaludin Akmaludin Akmaludin Akmaludin Akmaludin Akmaludin Akmaludin, Akmaludin Akmaludin, Akmaludin Arif Sugianto Cepi Cahyadi Dewi , Linda Sari Dewi, Linda Sari Dewi, Linda Sari Erene Gernaria Erene Gernaria Sihombing, Erene Gernaria Frisma Handayanna Frisma Handayanna Frisma Handayanna Handayanna, Prisma Kharismaya, Citra Linda Sari Dewi Linda Sari Dewi Linda Sari Dewi Linda Sari Dewi Maryana Maryana Maulida, Linda Nita Rizkiana Nurmalasari Nurmalasari Nurmalasari Nurmalasari Rinawati Rinawati Rinawati , Rinawati Rinawati R, Rinawati Rinawati Rinawati Rinawati, Rinawati S. , Erene Gernaria Sari Hartini Sutarji Wicaksono Wicaksono, Sutarji Wida Prima Mustika Wulan Dari