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All Journal SMATIKA SISFOTENIKA AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat JURNAL MEDIA INFORMATIKA BUDIDARMA IKRA-ITH Informatika : Jurnal Komputer dan Informatika Dinamisia: Jurnal Pengabdian Kepada Masyarakat JUTEKIN (Jurnal Manajemen Informatika) JURTEKSI PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Jurnal Tekno Kompak Building of Informatics, Technology and Science Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Journal of Computer System and Informatics (JoSYC) Journal of Innovation Information Technology and Application (JINITA) TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal AbdiMas Nusa Mandiri Jurnal Computer Science and Information Technology (CoSciTech) Rengganis Jurnal Pengabdian Masyarakat Jurnal Komtekinfo Smatika Jurnal : STIKI Informatika Jurnal
Prasetyaningrum, Eka
Universitas Darwan Ali
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Analisis Perilaku Adopsi Digital Marketing Pada UMKM Menggunakan Model UTAUT3 di Era New Normal Eka Prasetyaningrum; Sari Atul Hilaliyah
Computer Science and Information Technology Vol 3 No 2 (2022): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v3i2.3955

Abstract

Penelitian ini bertujuan untuk mengetahui perilaku adopsi digital marketing pada pelaku UMKM di Kabupaten Kotawaringin Timur menggunakan model UTAUT3 di Era New Normal. Penelitian ini terdiri dari 146 responden yang didapatkan menggunakan teknik Probability Sampling. Hipotesis diuji dengan SEM PLS (Partial Least Square) dan menggunakan perangkat lunak WarpPls 7.0. Hasil pengujian ini terdapat Variabel yang menunjukkan hasil berpengaruh tidak signifikan yaitu Facilitating Condition terhadap Behavioral Intention, Facilitating Condition terhadap Use Behavior, Habit terhadap Behavioral Intention dan Perceived Risk terhadap Behavioral Intention. Sedangkan variable Performance Expentancy, Effort Expentancy, Social Influence, Hedonic Motivation, Personal Innovativeness of IT, Perceived Trust sangat berpengaruh signifikan terhadap variable Behavioral Intention. Dan variable Personal Innovativeness of IT dan Behavioral Intention juga berpengaruh signifikan terhadap Use Behavior.
Analisa Tingkat Kepuasan Pelanggan Pada Percetakan Cv. Mega Media Menggunakan Algoritma C4.5 Puji Susanti; Eka Prasetyaningrum
SISFOTENIKA Vol 13, No 1 (2023): SISFOTENIKA
Publisher : STMIK PONTIANAK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30700/jst.v13i1.1357

Abstract

Di Indonesia media cetak dari waktu ke waktu berkembang dengan pesat. Hal tersebut diketahui dengan banyaknya jumlah percetakan jasa yang berdiri. percetakan jasa merupakan usaha yang memproduksi bermacam media cetak seperti spanduk, banner, pamflet dan lain sebagainya. Ada banyak  usaha percetakan yang menawarkan berbagai promo, hadiah, maupun dengan harga yang murah. Jika pelanggan kurang puas dengan hal tersebut semua akan sia-sia. Tujuan dari penelitian ini yaitu  membantu pemilik CV.Mega Media mengetahui tolak ukur kepuasan pelanggan untuk dapat bersaing dengan percetakan yang lain. Peneliti akan menganalisa  mengenai kepuasan pelanggan percetakan dengan atribut nama, jenis kelamin, usia, jenis pesanan, harga, pelayanan, kualitas produk, loyalitas, dan kepuasan. Dengan memanfaatkan teknik data mining  dari ketiga kali pengujian yang telah dilakukan pada dataset kepuasan pelanggan  yang dibagikan kepada 100 pelanggan, dapat di prediksi menggunakan algoritma C4.5 (decision tree)  dengan hasil  akurasi sebesar 93.00%  dengan bantuan tools Rapidminer 9.9. Dengan hasil  tersebut dapat digunakan untuk mengukur tingkat kepuasan pelanggan pada percetakan CV. Mega Media.
Pengembangan Sistem Informasi Inventory Obat dan CRM Pada Apotek Sentosa Dan Klinik Pratama Tobias Alexander; Eka Prasetyaningrum
Jurnal Tekno Kompak Vol 17, No 1 (2023): Februari
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jtk.v17i1.2171

Abstract

Apotek Sentosa adalah salah satu tempat pelayanan kefarmasian yang menerima penerimaan resep, pelayanan resep, dan peracikan obat. Sedangkan Klinik Pratama adalah salah satu fasilitas kesehatan yang menyediakan pelayanan kesehatan perorangan baik itu yang pasien BPJS maupun pasien umum. Apotek Sentosa dan Klinik Pratama berlokasi di Jl.Gatot Subroto No.25 Sampit, Kabupatan Kotawaringin Timur, Kalimantan Tengah. Selama ini pada Apotek Sentosa dan Klinik Pratama masih menggunakan sistem konvensional dalam pengelolaan stok barang dan pendataan pendaftaran pasien. Sehingga para pelanggan Apotek Sentosa tidak dapat mengetahui update obat serta pasien Klinik Pratama tidak dapat mengetahui update jadwal dokter yang sedang buka praktek. Oleh karena itu, penelitian ini bertujuan untuk membangun sebuah sistem yang saling terintegrasi guna meningkatkan loyalitas pelanggan melalui penerapan sistem inventory dan CRM (Customer Relationsship management). Bentuk implementasi dari sistem inventory yang diterapkan adalah dengan mencatat segala kegiatan transaksi penerimaan barang, persediaan barang agar dapat lebih terkontrol sehingga bisa menghindari stok barang yang telah kadaluarsa. Selain itu dengan adanya sistem inventory para pelanggan juga dapat mengetahui stok barang yang tersedia pada Apotek Sentosa. Kemudian, implementasi CRM pada Apotek Sentosa dan Klinik Pratama juga dapat dimanfaatkan sebagai media promosi ke pelanggan dan pasien. Dengan adanya sisten CRM pasien dapat mengetahui update jadwal dokter yang sedang praktek, pendaftaran data pasien secara online serta tersedia media kritik dan saran untuk pasien kepada pihak Apotek dan Klinik Pratama. Dalam pembuatan sistem pada penelitian ini, penulis menggunakan metode Dynamic Sistem Development Method (DSDM). Yang dimana dengan metode Dynamic Sistem Development Method (DSDM) aplikasi yang dibangun berdasarkan kebutuhan dan memerlukan komunikasi antara pengguna dan pengembang aplikasi.
Penerapan Metode Analytical Hierarchy Process Dalam Pemilihan Handphone Untuk Kebutuhan Mahasiswa Agung Purwanto; Eka Prasetyaningrum; Rafli Pratama; Mauli Haspianto
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 12, No 1: April 2023
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v12i1.1103

Abstract

Analytical Hierarchy Process (AHP) is an analytical method used to describe complex problems with many different factors or criteria. This method helps in reducing the complexity of the problem by decomposing the problem into a hierarchy that is easier to analyze. The AHP method evaluates criteria and determines the priority of each criterion, as well as arranges problems in a hierarchy of various levels of criteria, which can assist in the decision-making process. Decision support systems that use the AHP method are used to assist in the decision-making process by combining information technology. This method uses pairwise comparisons to determine the weight of each criterion and evaluate alternative solutions based on the weight of these criteria, so that it can assist in determining the most appropriate choice from various alternatives. The purpose of this research is to calculate the main comparison of each criterion that is perception and the overall main comparison for each alternative multiplied by the comparison.Keywords: Mobile Selection; Analytical Hierarchy Process; Student Needs AbstrakAnalytical Hierarchy Process (AHP) adalah metode analisis yang digunakan untuk menguraikan masalah kompleks dengan banyak faktor atau kriteria yang berbeda. Metode ini membantu dalam mengurangi kompleksitas masalah dengan menguraikan masalah tersebut menjadi suatu hirarki yang lebih mudah untuk dianalisis. Metode AHP mengevaluasi kriteria dan menentukan prioritas dari masing-masing kriteria, serta menyusun masalah dalam hirarki berbagai tingkatan kriteria, yang dapat membantu dalam proses pengambilan keputusan. Sistem pendukung keputusan yang menggunakan metode AHP digunakan untuk membantu dalam proses pengambilan keputusan dengan menggabungkan teknologi informasi. Metode ini menggunakan perbandingan pairwise untuk menentukan bobot dari setiap kriteria dan mengevaluasi alternatif solusi yang ada berdasarkan bobot kriteria tersebut, sehingga dapat membantu dalam menentukan pilihan yang paling sesuai dari berbagai alternatif. Tujuan penelitian ini adalah untuk menghitung perbandingan utama setiap kriteria yang persepsi dan perbandingan utama keseluruhan untuk setiap alternatif yang dikalikan dengan perbandingan.
Pengembangan Sistem ERP Modul Inventory Management Pada Kantor Perwakilan PT. BGA Group Eka Prasetyaningrum; Benny Setyawan
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 13 No 01 (2023): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v13i01.749

Abstract

Entering the industrial era 4.0, companies are required to be able to survive with all kinds of risks faced. PT. Bumitama Gunajaya Agro Group is one of the plantation companies and palm oil mills in Central Kalimantan. PT. BGA Group has a representative office located in Sampit City. In managing inventory of goods at the Representative Office at PT. BGA Group has been computerized but has not been well integrated. For data collection of requests for goods from the farm, vendor data collection, incoming and outgoing goods, and shipping goods must still be recorded one by one into Microsoft Excel. Therefore, it is necessary to have a system that can make it easier for employees to make requests, record and even search for the data needed so that the ERP inventory module can be a solution. For the system development method use the Agile method with testing black box. Based on the test results, the existence of an inventory system can make work easier and can shorten the time in the process of managing company data.
Implementasi algoritma apriori dan metode topsis dalam penentuan pola penjualan pada meubel mentaya hafiz Eka Prasetyaningrum; Ummy Sholihah
Computer Science and Information Technology Vol 4 No 2 (2023): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v4i2.5013

Abstract

Indonesia's economic growth during the Covid-19 pandemic was not good due to low levels of public consumption. The government and MSME actors are trying to build the economy so that it can survive in all the conditions it faces. This study aims to find out how the implementation of the a priori algorithm and the TOPSIS method determine the sales pattern of a business. The analysis was carried out using two methods, namely the association rule using the a priori algorithm and the TOPSIS method as a decision support system. The analysis of the a priori algorithm produces an itemset of house frames, doors and windows as a combination that meets the 20% support value. Meanwhile, there are three association rules, namely if you buy house frames and doors, then buy windows with a confidence value of 100% and a lift ratio of 1.89. It's the same as the other 2 rules which produce a lift ratio value of more than 1, which means the rule is valid. In the analysis of the TOPSIS method, of the 22 alternatives it is known that alternative A14, namely windows, is ranked 1st as the product that sells the most, followed by alternative A13, namely doors. In addition, there are several products that have the same preference value so that they are also in the same rank, such as cafe chairs, stakes/stones and flower shelves then cafe tables and shoe racks.
Perbandingan Algoritma K-Means Dan K-Medoids Untuk Pemetaan Hasil Produksi Buah-Buahan Eka Prasetyaningrum; Puji Susanti
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 7, No 4 (2023): Oktober 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v7i4.6477

Abstract

In general, in 2019-2020 fruit production in Kotawaringin Timur district has decreased. Based on the data on fruit production, the amount of fruit production decreased, resulting in scarce fruit stocks and expensive fruit prices. Based on these problems, fruit production will be grouped according to the type of production in East Kotawaringin district using data mining techniques with clustering techniques using the K-Means algorithm and K-Medoids algorithm in order to optimize and increase fruit production. The results of grouping fruit production will be divided into 3 clusters, namely the highest cluster, the medium cluster, and the lowest cluster, making it easier for the Food and Agriculture Security Service in East Kotawaringin district to calculate and increase agricultural yields, especially in the horticulture sector. Based on the test results using data in 2019-2022, totaling 29 data in the Rapidminer application version 9.9 by comparing the DBI (Davies Bouldin Index) values of the two algorithms with so that the conclusion in determining the best value for the number of clusters (K) is that the fourth experiment shows 0.296 DBI (Davies Bouldin Index) values with six clusters. If the DBI value is smaller or closer to 0, then the cluster results obtained are more optimal. The results obtained in the K-Means algorithm get a smaller DBI (Davies Bouldin Index) value with a value of 0.296 while the K-Medoids algorithm results with a DBI (Davies Bouldin Index) value of 0.507. The best algorithm for clustering fruit production in Kotawaringin Timur district is the K-Means algorithm based on the DBI values obtained.
Clustering Productive Palm Land using the K- Means Clustering Algorithm Geofanny Widianto Sihite; Eka Prasetyaningrum
Journal of Innovation Information Technology and Application (JINITA) Vol 5 No 2 (2023): JINITA, December 2023
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/jinita.v5i2.2051

Abstract

Indonesia is a country with a tropical climate that has many oil palm plantations. CV. Alkema Deo is one of the companies that manage oil palm plantations in Sampit City, East Kotawaringin Regency, Central Kalimantan. CV. Alkema Deo was founded in 2016 and has two plantation locations located on Jl. General Sudirman Km. 18, East Kotawaringin and Seibabi Village, Telawang District, East Kotawaringin. In this study, a qualitative approach was applied using a descriptive research pattern. In qualitative research, data is obtained from sources using various data collection techniques. Research using qualitative methods emphasizes the analysis of thought processes related to the dynamics of the relationship between observed phenomena, and always uses scientific logic. Based on the results of research for authors on a CV. Alkema Deo, the use of Excel in companies is quite good at processing data, but on a CV. Alkema Deo does not yet have land groupings based on productivity levels, so it is difficult to see the level achieved in 6 months based on the set target, and daily production control in terms of area and block area. Data obtained from CV. Alkema Deo is grouped based on area, block, and productivity. Application of data mining for grouping productive oil palm land on a CV. Alkema Deo with 4 variables, namely: land area, length, average production yield, percentage of achievement using the K-Means Algorithm to produce three clusters, namely 8 blocks or 50% including the high productive group (C2), 1 block or 6% blocks including the medium productive plantation group (C1), and 7 blocks or 44% including the small productive plantation group (C0).
Sistem Informasi Geografis Apotek di Kotawaringin Timur Berbasis Web Ramadhani, Nur Rachmat Fajar; Prasetyaningrum, Eka; Bachtiar, Lukman
Building of Informatics, Technology and Science (BITS) Vol 2 No 2 (2020): December 2020
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1013.815 KB) | DOI: 10.47065/bits.v2i2.549

Abstract

Geographical Information System is an information system that is specialized in processing data that has spatial information (spatial reference). In a narrower sense, a Geographical Information System is a computer system that has the ability to build, store, manage and display geographic information, for example, data that is identified according to its location in a database. The purpose of this geographic information system is to find out information on the location of the distribution of pharmacies and drug data information in East Kotawaringin, so as to help people and people who are not native to East Kotawaringin. The development of a web-based pharmacy geographic information system in East Kotawaringin uses the programming language PHP and MySQL as the database system.
Analisis Sentimen Kenaikan Harga Beras di Facebook Menggunakan Algoritma Naïve Bayes Rijal; Eka Prasetyaningrum; Agung Purwanto; Abdul Aziz
Computer Science and Information Technology Vol 5 No 2 (2024): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v5i2.7473

Abstract

This study explores public sentiment towards the rice price increase in Indonesia using data from social media posts on Facebook. As a crucial staple commodity, rice prices significantly impact the economy and social life of the community. In this study, data was collected from Facebook using Instant Data Scraper during the period from January to May. The collected data underwent a cleaning process, and 200 data points were manually labeled as training data. The text preprocessing steps included tokenization, case folding, and stopword removal. Subsequently, TF-IDF weighting was applied to determine the importance of each word in the documents. The processed data was then analyzed using the Naive Bayes algorithm to classify positive and negative sentiments. The analysis results showed that out of 428 test data points, the Naive Bayes algorithm successfully identified 237 reviews as positive sentiment and 191 reviews as negative sentiment. Based on the obtained data, this study is expected to provide insights for the government and policymakers in managing rice price policies and improving public communication strategies, as well as anticipating the social impact of rice price increases.
Co-Authors Abdul Aziz Agung Purwanto Andy Ismail arie wahyu pribadi Arindya Khauli Awanda Octavianti Putri Benny Setyawan Budiyanto, Herwin Dwi Wahyu Prabowo Elma Tiana Geofanny Widianto Sihite Haspianto, Mauli Hayati, Sari Istanta Kirana, Elika Thea Lukman Bachtiar Mauli Haspianto Melano, Reynaldi Minarni Minarni Muhamad Rizky Mustaqiem, Mustaqiem Nurahman Nurahman, Nurahman Nurul Wahidah Patmawati Hasan Puji Susanti Puji Susanti Rafli Pratama Rahadian, Muhammad David Ramadhani, Nur Rachmat Fajar Riansyahputra, Muhammad Rijal Sapitri, Amelia Wulan Sari Sari Atul Hilaliyah SATRIYAS ILYAS Thaher, Muhammad Tarmizi Thea Kirana, Elika Tobias Alexander Ummy Sholihah Wenti Utari Yunita, Selviana Zai, Serika