Article Per Year (5 Year)
p-Index From 2021 - 2026
2.946
P-Index
This Author published in this journals
All Journal Query : Jurnal Sistem Informasi JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Jurnal Tekinkom (Teknik Informasi dan Komputer) INFOKUM Jurnal Teknologi Informatika dan Komputer Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Jurnal Pengabdian Kepada Masyarakat Teknologi Informasi dan Komunikasi
Evta Indra
Universitas Prima Indonesia
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Social Sciences

Published : 24 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 24 Documents
Search

 1   2   3 
ANALISIS DALAM MENENTUKAN STOK BARANG MASUK DARI SUPPLIER PADA BLIBLI.COM MEDAN MENGGUNAKAN METODE ASSCOATION RULE DENGAN ALGORITMA APRIORI Delima Sitanggang; Oktoberto Perangin-angin; Esther Mayorita Nababan; Meri Natasia Napitupulu; Evta Indra
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 2 (2023)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v6i2.936

Abstract

The divisions that support the service production business continue to be developed, so as to provide more benefits for the organizers. One part that continues to be researched is the determination of suppliers of goods for production companies, because a good supplier will not only maximize cooperative relations, but also supply quality raw materials, as well as provide convenience in the process of importing goods. in the previous calculations the minimum support value that had been determined was 3.5%, so the researcher formed 1 itemset where the support value met the percentage in the category (accessories 5.8%), (cigarette 11.4%), (cooking ingredients 23.1%), (electronic 30.9%), (food 28.1%), (gagdet,46.6%), (healthy&beauty 12.4%), and y(kids&baby 4.2%) , in the formation of 2 itemsets where those containing A are combined with those containing item B which fulfill the percentages on (electronics, food 19.3%) , (gadgets, cooking ingredients 23.9%), (gagdet, electronics 37.6%) , and (gagdet, food 19.3%) in the formation of 3 itemsets with support (A,B,C) there is no item value that meets the minimum support value and for the minimum confidence value in this study 40% in the establishment of a rule or association of 2 itemsets that meet confidence (cigarettes, kids baby 52.6%), and (kids babies, accessories 47.6%), for the establishment of a 3 itemset association rule that meets the minimum confidence value (kids babies, electronics, accessories 47.6%), (kids baby, fozen food, accessories 47.6%), (food, gadgets, kids baby 95.2%), (kids baby, fozen food, cooking ingredients 47.6%).
ANALISIS DAN PERANCANGAN SISTEM LAYANAN DAN RESERVASI TIKET BUS ONLINE MELALUI PENDEKATAN BERBASIS WEBSITE Palma Juanta; Windania Purba; Evta Indra; Mario Gota Manalu; Aguan Aritonang
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 6 No 2 (2023)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v6i2.944

Abstract

In this day and age the bus is the most common means of transportation used by the community because of the low price and easy way of ordering simple and accurate and still affordable for the economic community middle down. Generaly bus ticket bookings are made with go directly to the point of sale of bus tickets or by calling to the counter office. This ordering process has a weakness, namely the clerk or managers have difficulty recording, and errors often occur when recording ticket reservations. Regarding the time of ordering, usually prospective travelers book tickets a day or two before departure, and some are don't book tickets a few days in advance and buy tickets on the day departures, which often results in them not getting tickets that are society wants. The aim of this work is to design the system online bus ticket reservation developed using an application. Program it is built using Python programming and machine learning to make it easier to generate data automatically and make predictions Accurate. The result of this research is a bus ticket reservation system which offers a new alternative to the bus ticket booking process without distance and time constraints. In addition, the public will also receive information regarding bus schedules, ticket prices, and possible changes to departures bus.
PREDIKSI PENJUALAN OBAT PADA RUMAH SAKIT MENGGUNAKAN METODE DOUBLE EKSPONENTIAL SMOOTHING Winda Yoceva Pane; Nathanael Chrisman Laurentio Pardede; Rikky Martua Hasudungan Simaremare; Evta Indra
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 1 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i1.1346

Abstract

Royal Prima Hospital faces challenges in managing its drug inventory. Each month, the available quantity of drugs remains the same without considering the actual needs, based only on the amount of drugs sold. As a result, there is often an excess of drug stock, leading to reduced shelf life, lower drug prices, and unsatisfactory patient service. This situation is certainly detrimental to the hospital. To help hospital management reduce errors in forecasting drug sales, the Double Exponential Smoothing forecasting method with an alpha of 0.6 was applied, as the sales data show a trend. This method provides a solution that can be used to predict the number of drugs that will be sold in both the short and long term with a high level of accuracy. The forecasting results produced a Mean Absolute Error (MAE) of 791.64, a Mean Square Error (MSE) of 17,887,289,511.31, and a Mean Absolute Percentage Error (MAPE) of 0.78%. Thus, hospital management can manage drug inventory more efficiently and reduce wastage. This study offers significant benefits by providing a more accurate approach to forecasting drug sales.
Tanggap Darurat Banjir: Inovasi Distribusi Logistik dan Pemulihan Psikososial bagi Masyarakat Sumatera Utara Mas Intan Purba; Esther Praja Anggriany Panggabean; Evta Indra; Beby Astri Tarigan
Jurnal Pengabdian Kepada Masyarakat Teknologi Informasi dan Komunikasi Vol 3 No 1 (2026): Januari
Publisher : CV. ADMITECH SOLUTIONS

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

Abstract

Program Pengabdian kepada Masyarakat Tanggap Darurat Bencana Tahun 2025 ini dilaksanakan sebagai respons terhadap banjir yang melanda Sumatera Utara pada akhir November 2025. Awalnya direncanakan di Kelurahan Sei Mati, Medan Labuhan, program dialihkan ke tiga kecamatan yang masih terdampak parah: Hamparan Perak, Pantai Labu, dan Pangkalan Susu, setelah koordinasi dengan LPPM Universitas Prima Indonesia dan Direktorat Jenderal Pendidikan Tinggi. Kegiatan mencakup distribusi logistik kebutuhan dasar kepada 598 keluarga, pemulihan psikososial melalui trauma healing untuk 400 anak, layanan kesehatan gratis bagi 44 warga, serta bakti sosial pembersihan fasilitas umum. Adaptasi dari proposal awal dilakukan karena kondisi banjir telah surut dan mayoritas masyarakat adalah petani serta nelayan. Program ini berhasil meringankan beban korban, meningkatkan resiliensi komunitas, dan mendukung pemulihan berkelanjutan. Hasil menunjukkan peningkatan akses kebutuhan dasar, pemulihan emosional anak-anak, serta penguatan gotong royong masyarakat. Luaran mencakup artikel di media massa, video impact, dan peningkatan level keberdayaan mitra dari ketergantungan tinggi menjadi mandiri parsial. Kegiatan ini selaras dengan Tri Dharma Perguruan Tinggi dan prioritas nasional penanganan bencana, dengan kontribusi pada pencegahan outbreak penyakit dan edukasi sanitasi..
Co-Authors Aguan Aritonang Aldowad Alles Sandro Hamonangan Simanjuntak Andreas Situmorang Anita Anita Beby Astri Tarigan Cloudia Stevani Saragih Sumbayak Daniel Ryan Hamonangan Sitompul Davit Toramli Husni Delima Sitanggang, Delima Denis Jusuf Ziegel Dennis Jusuf Ziegel Dinda Tamara Silaen Efendi Efendi Esther Mayorita Nababan Esther Praja Anggriany Panggabean Faijriah Nazla Sahira Fanny Dameka br Sitanggang Fredilio Fredilio Jefri Syah Putra Laoli Julfikar Rahmad Juli Yanti Kartika Harahap Kurniawan Tarigan M Diarmansyah Batubara M. Diarmansyah Batubara Mardi Turnip, Mardi Mario Gota Manalu Marlince NK Nababan Matthew Oullanley Lee Meri Natasia Napitupulu Michael Owen Mohammad Irfan Fahmi Muhammad Yasir Muhardi Saputra Nadila Azriansyah Nanchy Adeliana Br S. Muham Nathanael Chrisman Laurentio Pardede Novanius Lahagu Oktoberto Perangin-angin Owen Owen Palma Juanta Paskariawan br Sihotang Pungki Laurensius Ritonga Purba, Mas Intan Putri Rahma Dewi Riama Br Ambarita Rikky Martua Hasudungan Simaremare Rivaldo Sitanggang Ruben Ruben Ruben, Andreas Situmorang Sadarman Zebua Saljuna Hayu Rangkuti Sion Putri Zalukhu Sonia Novel Lase Sri Wahyuni Tarigan Stiven Hamonangan Sinurat Sugandi Chau Vincent Vincent Winda Yoceva Pane Windania Purba Yakub Anuyuta Zebua Yenny Yenny