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All Journal PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal Informatika Proceeding International Conference on Information Technology and Business Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Prosiding Seminar Nasional Darmajaya JUTIM (Jurnal Teknik Informatika Musirawas) Jurnal Teknologi Informasi MURA Jurnal Informasi dan Komputer IJISCS (International Journal Of Information System and Computer Science) Jurnal Cendikia Jurnal Tekno Kompak Jurnal Ilmu Komputer dan Bisnis Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Journal of Applied Science, Engineering and Technology (J. ASET) Jurnal Informatika Software dan Network (JISN) MDP Student Conference Jurnal Teknologi Informasi Mura Jurnal TAM (Technology Acceptance Model) IJISCS (International Journal of Information System and Computer Science)
Efendi, Dwi Marisa
STMIK DIAN CIPTA CENDIKIA KOTABUMI
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mathematics Other

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SISTEM PENDUKUNG KEPUTUSAN PEMBERIAN BEASISWA MENGGUNAKAN METODE COMPERATIVE PERFORMANCE INDEX Dewi Santi; dwi marisa efendi; Rustam Rustam
Jurnal Teknologi Informasi Mura Vol 14 No 2 (2022): Jurnal Teknologi Informasi Mura Desember
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jti.v14i2.1854

Abstract

STMIK DCC Kotabumi mengadakan program beasiswa, diperlukan sebuah sistem dalam pengambilan keputusan.metode yang digunakan dalam penelitian ini adalah comperative performance index(CPI).Sistem ini bertujuan agar mendapatkan hasil yang objektif. Penelitian ini menggunakan 6 kriteria.Itu adalah Pekerjaan Penghasilan orang tua, tanggungan orng tua, mahasiswa aktif , IPK, Bukti Keterangan tidak mampu Hasil dari penelitian adalah muhamad yogi dengan nilai 250,diharapkan dengan sistem dan metode CPI ini dapat emmudahkan STMIK DCC dalam penentuan pemberian beasiswa.
Sistem Informasi Penerimaan Siswa Baru Berbasis Web Sekolah Menengah Pertama Negeri 2 Way Pengubuan Teguh Priyono; Dwi Marisa Efendi; Nurmayanti Nurmayanti
Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data) Vol 6, No 2 (2023): Jurnal SIMADA (Sistem Informasi dan Manajemen Basis Data)
Publisher : Institut Informatika dan Bisnis Darmajaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30873/simada.v6i2.3710

Abstract

One of the procedures used in educational institutions like schools for screening potential students who are chosen based on the criteria established by the institution to enroll there is the acceptance of new pupils. In general, the steps of registration, selection exams, and notification of student acceptance are used to carry out the process of admitting new students. It was utilized in this study with respect to SMP Negeri 2 Way Pengubuan. using MYSQL as a database server, PHP programming, observation, analysis, design, testing, and other techniques. The outcome of this project is a web-based system for new student admission information that can make it simple for potential new students to learn what they need to know and register online. Salah satu prosedur yang digunakan di lembaga pendidikan seperti sekolah untuk menyaring calon siswa yang dipilih berdasarkan kriteria yang ditetapkan oleh lembaga untuk mendaftar di sana adalah penerimaan siswa baru. Secara umum tahapan pendaftaran, seleksi ujian, dan pemberitahuan penerimaan mahasiswa digunakan untuk melakukan proses penerimaan mahasiswa baru. Itu digunakan dalam penelitian ini sehubungan dengan SMP Negeri 2 Way Pengubuan. menggunakan MYSQL sebagai server database, pemrograman PHP, observasi, analisis, desain, pengujian, dan teknik lainnya. Hasil dari proyek ini adalah sistem berbasis web untuk informasi penerimaan siswa baru yang dapat memudahkan calon siswa baru untuk mempelajari apa yang perlu mereka ketahui dan mendaftar secara online
PREDIKISI PENJUALAN DETERGENT TERLARIS MENGGUNAKAN METODE K-NEAREST NEIGHBOR(K-NN) suryadi, Lusi; Efendi, Dwi Marisa; Nurmayanti, Nurmayanti; Riswanto, Pakarti; Mawarni, Rima
Jurnal informasi dan komputer Vol 12 No 01 (2024): Jurnal Informasi dan Komputer yang terbit pada tahun 2024 pada bulan 4 (April)
Publisher : LPPM Institut Teknologi Bisnis Dan Bahasa Dian Cipta Cendikia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35959/jik.v12i01.351

Abstract

Toko Axes membutuhkan aplikasi data mining karena toko ini menjual jenis produk deterjen. Karena banyaknya permintaan dari konsumen, sepertinya ada detergen yang laris dan ada yang tidak. Oleh karena itu, perlu dilakukan peramalan penjualan produk yang dibutuhkan berdasarkan tahun lalu. pemasok perencanaan persediaan untuk perusahaan komersial. Untuk mengatasi masalah tersebut, diperlukan suatu sistem peramalan penjualan produk terlaris dengan teknik data mining menggunakan metode k-nearest neighbor. Penelitian ini membuat sistem algoritma K-Nearest Neighbor untuk teknik data mining memprediksi penjualan produk terlaris di toko Axes.
EXPECTATION MAXIMIZATION ALGORITHM MEMPREDIKSI PENJUALAN SUSU MURNI PADA PT. SEWU PRIMATAMA INDONESIA LAMPUNG TENGAH Waspah, Aik Isnayah; Afandi, Asep; Efendi, Dwi Marisa; Sartika, Dwi
JUTIM (Jurnal Teknik Informatika Musirawas) Vol 7 No 1 (2022): JUTIM (Jurnal Teknik Informatika Musirawas) JUNI
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jutim.v7i1.1615

Abstract

Pure milk is a liquid that comes from the udder of healthy and clean cows obtained by proper milking, its natural content is not reduced or added by anything and has not received any treatment. This study focuses on selling whole milk based on the effect of promotional prices as a sales strategy. The purpose of this research is to include data mining steps so that maximum data on pure milk sales can be obtained based on the effect of promotional prices and data reduction using the expectation maximization algorithm and testing using RapidMiner 8.0. The results of the implementation of Data Mining using the expectation maximization algorithm, which are based on sales data and cut price promotional price data are in 2019-2021 the maximum promotional price (MAXx) obtained is 0.22 (22,000) and the minimum value (MINx) is 0, 15 (15000). For pure milk sales in 2019 the maximum (MAXy) sales were 0.3641 (3,641 liters) in November and the minimum value (MINy) was 0.119 (1,190), in 2020 the maximum (MAXy) sales was 0.3861 (3,861 liters) in July, and the minimum value (MINy) is 0.1925 (1.925) and in 2021 the maximum (MAXy) sales is 0.3921 (3,921 liters) in September, and the minimum value (MINy) is 0.2004 (2004) liter.
Classification of Social Assistance Recipients Using Machine Learning Putri, Cyndi Oktora; Efendi, Dwi Marisa; Rustam, Rustam
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 2 (2024): September 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i2.9550

Abstract

Social assistance is assistance funds provided by local governments. In the Minister of Home Affairs Regulation No. 32 of 2011, it is explained that social assistance is the provision of assistance in the form of money/goods from local governments to individuals, families, groups, and communities which is not continuous and selective in nature. One of the villages in North Lampung still often experiences problems, including high poverty rates and low education levels. The Naive Bayes algorithm method was chosen to classify aid recipients based on employment, age, and income. The spreadsheet calculations show that the Family Hope Program Assistance (PKH) class is 135 people and the Direct Cash Assistance (BLT) class is 39 people with a total of 176 people in the social assistance recipient data. From the results of Rapid Miner calculations, the accuracy value for the PKH and BLT classes is 100.00%.
Eligibility Recipients Determination of El-Nino Direct Cash Aid Using C4.5 Algorithm Putri, Dini Elldrica; Efendi, Dwi Marisa; Aminah, Siti
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 2 (2024): September 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i2.9551

Abstract

The El Nino phenomenon, which causes increased temperatures and prolonged drought, is predicted to continue to hit Indonesia until the end of 2023. The significant impacts of El Nino include reducing the productivity of agricultural products, including food crops such as rice. This condition will certainly greatly affect the stability of domestic food prices. A total of 420 people from Bernah Village, Kota Alam Subdistrict received it. In the selection process for BLT El Nino recipients in Bernah Village, problems often occur such as problems in identifying aid recipients. This creates a society where aid recipients are still relatively well-off. By applying the C4.5 Algorithm, the C4.5 Calculation can determine feasibility thereby increasing efficiency in determining El Nino Direct Cash Assistance receipts. Calculations using Microsoft Excel 2010 revealed that there were 252 eligible recipients while 168 were not eligible. And from the calculation results using Rapid Miner 10.1. It is known that the accuracy rate is 100.00% with a total of 420 people receiving aid data.
Comparative Analysis using Tsukamoto and Sugeno Methods of Fuzzy Inference System for Sales of Medicine Efendi, Dwi Marisa; Ardhy, Ferly
Journal of Applied Science, Engineering and Technology Vol. 1 No. 1 (2021): June
Publisher : INSTEP Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (489.943 KB) | DOI: 10.47355/aset.v1i1.10

Abstract

This case study has been implemented on the apothecary shop located at Kotabumi city at Lampung province, Indonesia that selling various types of medicine. An apothecary in his scientific efforts need by prediction to a hypothetical for determining the amount of in the demand and the purchase of the new term, which has a challenge on increasing the purchasing amount and reflected the bank sound assets. A prediction used was to analyzed from the results of the comparison a method of Tsukamoto and Sugeno by using the nine rules and comparison to the value of absolute error of the purchase. Based on a the Sugeno method, the absolute error of the purchase was 0.0176 %, which is the lowest value in the study.
THE IMPLEMENTATION OF A SIMPLE LINIER REGRESSIVE ALGORITHM ON DATA FACTORY CASSAVA SINAR LAUT AT THE NORTH OF LAMPUNG Dwi Marisa Efendi
IJISCS (International Journal of Information System and Computer Science) Vol 2, No 1 (2018): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v2i1.549

Abstract

Cassava is one type of plant that can be planted in tropical climates. Cassava commodity is one of the leading sub-sectors in the plantation area. Cassava plant is the main ingredient of sago flour which is now experiencing price decline. The condition of the abundant supply of sago or tapioca flour production is due to the increase of cassava planting in each farmer. With the increasing number of cassava planting in farmer's plantation cause the price of cassava received by farmer is not suitable. So for the need of making sago or tapioca flour often excess in buying raw material of cassava This resulted in a lot of rotten cassava and the factory bought cassava for a low price. Based on the problem, this research is done using data mining modeled with multiple linear regression algorithm which aim to estimate the amount of Sago or Tapioca flour that can be produced, so that the future can improve the balance between the amount of cassava supply and tapioca production. The variables used in linear regression analysis are dependent variable and independent variable . From the data obtained, the dependent variable is the number of Tapioca (kg) symbolized by Y while the independent variable is milled cassava symbolized by X. From the results obtained with an accuracy of 95% confidence level, then obtained coefficient of determination (R2) is 1.00. While the estimation results almost closer to the actual data value, with an average error of 0.00. 
Pengembangan Sistem Informasi JDIH Berbasis Web di Kabupaten Pesawaran Agusto, Rio; Efendi, Dwi Marisa; Supriyanto, Supriyanto
MDP Student Conference Vol 4 No 1 (2025): The 4th MDP Student Conference 2025
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v4i1.11191

Abstract

This research focuses on the development of a web-based Legal Documentation and Information Network System (JDIH) in Pesawaran Regency, integrated with the Legal Service System (SIPE Hukum). Using the Extreme Programming (XP) methodology, the system is developed iteratively to be more responsive to user needs. The technology utilized includes PHP and MySQL to enhance the efficiency of document management and legal information access for both the public and relevant institutions. The research findings indicate that the system can automate legal document management, accelerate information distribution, and improve transparency in legal services. In conclusion, the implementation of this system can optimize efficiency, accessibility, and accuracy in legal document management in Pesawaran Regency.
Penerapan Aplikasi Mobile untuk Pembelajaran Angka dan Berhitung pada Anak Usia Dini Maulana, Fazri; Efendi, Dwi Marisa; Prania, Dona
MDP Student Conference Vol 4 No 1 (2025): The 4th MDP Student Conference 2025
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/mdp-sc.v4i1.11195

Abstract

Learning numbers and counting is a fundamental foundation for the cognitive development of early childhood. However, conventional methods that are static and lack interactivity often make children easily bored and struggle to grasp concepts effectively. Therefore, innovation is needed in the form of an interactive mobile application that provides a more engaging, enjoyable, and flexible learning experience, allowing children to learn anytime and anywhere in a more effective way. This study employs a prototyping method, enabling iterative development with user feedback. The result of this research is a mobile-based learning application for early childhood education that presents number and counting materials in the form of text, images, and engaging animations. Additionally, it includes a quiz feature to assess children's understanding.
Co-Authors Abdullah Umar Faqih Al Ikhsani Afandi, Asep Agusto, Rio Alexander, Ganesis Annisa Rismanitanti Aryani, Yoska Dalina, Eva David Nurhidayatullah Deny Firmansyah Kurniawan Desri Arisandi Dewi Santi Dwi Sartika, Dwi Faselia, Reni Ferly Ardhy Iin Septiana Joni Darsyah Kurniawati . Laita, Vera April Lubis, Sani Hanika Maulana, Fazri Mawarni, Rima Mawarni, Rima Mintoro, Sigit Mitha Franciska Muhammad Bayu Ngajiyanto, Ngajiyanto Novita Novita Nur Aminudin Nurmayanti Nurmayanti Nurmayanti, Nurmayanti Pakarti Riswanto Pramudika, Tuta Arya Prania, Dona Pratama, Iqnatian Aidil Putri, Cyndi Oktora Putri, Dini Elldrica Rahmatullah, Sidik Ramto Patama Riski Oskar Pratama Riswanto, Pakarti Romadon Romadon Rustam Rustam Rustam Rustam Satriawan, Anggi Dwi Siti Aminah Soleha, Iis SRI LESTARI Sulis Nurbaiti Supriyanto . Supriyanto Supriyanto Supriyanto Supriyanto Suryadi, Lusi Teguh Priyono Verawati Waspah, Aik Isnayah