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INDONESIA
INTI Nusa Mandiri
Published by PPPM Nusa Mandiri
ISSN : 02166933     EISSN : 2685807X     DOI : -
Core Subject : Science,
Computer Science & IT
The INTI Nusa Mandiri Journal is intended as a media for scientific studies on the results of research, thought and analysis-critical studies on the issues of Computer Science, Information Systems and Information Technology, both nationally and internationally. The scientific article in question is in the form of theoretical review and empirical studies of related sciences, which can be accounted for and disseminated nationally and internationally.
Arjuna Subject : -
Articles 475 Documents
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NEURAL NETWORK FUNDAMENTAL DAN IMPLEMENTASI DALAM PEMROGRAMAN Ibnu Akil
INTI Nusa Mandiri Vol. 14 No. 2 (2020): INTI Periode Februari 2020
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v14i2.1179

Abstract

Nowadays machine learning and deep learning are becoming a trend in the world of information system. They are actually is part of an artificial intelligence domain. However, so many people don’t understand that machine learning and deep learning are built using neural networks. Therefore, in order to understand how machine learning and deep learning works, we must understand the basic concept of the neural network first. In this article, the writer describes the basic theory, math function of a neural network, and the example of implementation into the java programming language. The writer hopes that this article may help to understand neural network which is the core of machine learning and deep learning.
SISTEM PENGAMBILAN KEPUTUSAN KEPUASAN MUTU SEKOLAH DENGAN METODE PROFILE MATCHING Sopiyan Dalis; Syamsul Bahri; Rahman Tuah Damanik
INTI Nusa Mandiri Vol. 14 No. 2 (2020): INTI Periode Februari 2020
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v14i2.1186

Abstract

SMA Kanaan Global School is a private school in Jakarta which has many achievements both in academic and non-academic terms including in the quality of the school. It cannot be separated from the use of even more information that is needed to always advance and develop in order to support the quality of school quality. For this reason, the writer tries to make a thesis on the assessment of school quality satisfaction at SMA Kanaan Global School Jakarta. This school itself is moving to improve quality towards national standard schools plus so that it is at the forefront of global competition. By more actively improving the quality of education and improving teacher qualifications, as well as increasing the average grade of passing national examinations to become one of the best and satisfying schools. In processing the data the author uses the profile matching method. the final results obtained by the author of the satisfaction of high school quality Kanaan Global School Jakarta Jakarta is "PUAS" with an assessment range of 3.6 - 4.5 as many as 37 respondents.
KOMPARASI ALGORITMA KLASIFIKASI TEXT MINING PADA REVIEW RESTORAN Lila Dini Utami
INTI Nusa Mandiri Vol. 14 No. 2 (2020): INTI Periode Februari 2020
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v14i2.1216

Abstract

At this time, where the development of technology is developing very rapidly, and everyone has the right to express his opinion on a matter. One of them is conducting a review of a restaurant. The review, can be created from food, decoration, or service. This, is used by business people to find out consumer ratings about the restaurants they manage. However, the review data must be processed using the right algorithm. Then this research is conducted to find out which algorithm is more feasible to use to get the highest accuracy. The method used is Naïve Bayes (NB), and k-Nearest Neighbor (k-NN). From the process that has been done, it is obtained that the accuracy of Naïve Bayes is 75.50% with a Kappa value of 0.510, and the accuracy results when using the k-Nearest Neighbor algorithm is 89.50% with the AUC value of 0.790. The use of the k-Nearest Neighbor algorithm can help in making more appropriate decisions for hotel reviews at this time, because the resulting accuracy is greater than the Naïve Bayes Algorithm.
PENERAPAN ADABOOST UNTUK MENINGKATKAN AKURASI NAIVE BAYES PADA PREDIKSI PENDAPATAN PENJUALAN FILM Dini Nurlaela
INTI Nusa Mandiri Vol. 14 No. 2 (2020): INTI Periode Februari 2020
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v14i2.1220

Abstract

For economists and financial experts predicting the success of doing business is very interesting. With the data analytics the prediction process has been facilitated by the past data stored to find out what will happen in the future. This research was conducted to facilitate the film industry players in considering the factors that can influence the income of the film to be produced. The naive bayes method is a popular machine learning technique for classification because it is very simple, efficient, and has good performance on many domains. But naive bayes has a disadvantage that is very sensitive to too many features, thus making the accuracy to be low, in this case the adaboost method to reduce bias so that it can and improve accuracy from naive bayes. Validation is done by using 10 fold cross validation while measuring accuracy using confusion matrix and kappa. The results showed an increase in the accuracy of Naive Bayes from 83.22% to 84.44% and the kappa value from 0.706 to 0.731. So that it can be concluded that the application of adaboost on 2014 & 2015 CSM film data is able to improve the accuracy of the Naive Bayes algorithm
IMPLEMENTASI VIRTUAL LOCAL AREA NETWORK DENGAN SWITCH PORT PADA PT. MAXINDO MITRA SOLUSI JAKARTA Reza Rizky Ramadhan; Bambang Wijonarko
INTI Nusa Mandiri Vol. 14 No. 2 (2020): INTI Periode Februari 2020
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v14i2.1225

Abstract

PT. Maxindo Mitra Solusi, is a company engaged in internet service providers (ISP) in the work of PT. Maxindo has many divisions, so it is necessary to divide the network segmentation from each division, requires one switch one division device so that it consumes a lot of the remaining switch ports and also purchases a lot of network devices, for that it is needed Implementation of network design that can divide network segments in a physical device. like a layer three switch. For the above problems, PT. Maxindo Mitra Solusi applies the concept of a Virtual Local Area Network (VLAN) with a manageable switch device that functions as a network divider between divisions, to help the Network Development process at PT. Maxindo Mitra Solusi uses the Network Development Life Cycle (NDLC) development method. VLAN implementation can facilitate network troubleshooting and maintenance, and become more organized in providing IP addresses, avoiding broadcast domains, increasing security and increasing network performance.
RANCANG BANGUN SISTEM INFORMASI SIMPAN PINJAM BERBASIS WEB PADA KOPERASI UNIT DESA SOLIAMITRA DEPOK Ibnu Rusdi; Ade Sri Mulyani; Diah Winiasti Telaumbanua; Rini Kusuma Wardani
INTI Nusa Mandiri Vol. 14 No. 2 (2020): INTI Periode Februari 2020
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v14i2.1232

Abstract

The Industrial Era 4.0 is now very rapid with the development of all forms of digital applications to record all transactions that are running. Koperasi Unit Desa (KUD) Soliamitra requires a system in the running business process because the savings system itself uses a desktop-based or computerized system, but when the loan process is still done manually, using Microsoft Excel starting from applying for loans, installment payments to storage data relating to lending to report preparation, so that when recording loan data there are still frequent recording errors, using the web-based savings and loan information system technology is expected to improve service performance for members of the Koperasi Unit Desa (KUD) Soliamitra. In making this information system the author uses the SDLC method with a waterfall model, because step by step can be completed in an ordered and structured manner, and the design drawings using Unified Modeling Language (UML) as analysis and design and using NetBeans software for system implementation Java Servlet based object to support Web Application.
ANALISIS SENTIMEN OPINI PUBLIK MENGENAI COVID-19 PADA TWITTER MENGGUNAKAN METODE NAÏVE BAYES DAN KNN Muhammad Syarifuddinn
INTI Nusa Mandiri Vol. 15 No. 1 (2020): INTI Periode Agustus 2020
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v15i1.1347

Abstract

Aspirasi, opini dan kritik masyarakat saat ini sangat sulit disampaikan secara langsung, karena beberapa kendala seperti keterbatasan waktu, ruang, bahkan SDM yang sangat sibuk untuk bertemu langsung. Namun, jejaring sosial tidak menutup kemungkinan akan hal tersebut, salah satunya adalah twitter. Twitter merupakan salah satu jejaring sosial yang sering digunakan oleh masyarakat umum untuk mengungkapkan opini, kritik hingga membuat sensasi. Namun di dalam opini pada twitter banyak sekali makna yang berbeda dari setiap netizen, salah satunya adalah tentang opini COVID-19, yang akhir-akhir ini ramai diperbincangkan dari berbagai kalangan. Oleh karena itu perlu suatu analisis sentimen opini masyarakat guna menyelaraskan dan memberi pandangan baru mengenai suatu isu tentang COVID-19, metode yang digunakan adalah algoritma Naïve Bayes dan KNN (K-Nearest Neighbor), metode ini dapat mengklasifikasikan data atau kalimat sehingga menjadi suatu informasi, penelitian ini berfokus pada perbandingan hasil klasifikasi metode Naïve Bayes dan KNN, serta mengetahui kecenderungan opini masyarakat di twitter. Penulis mengambil subjek opini dari twitter menggunakan API twitter sebanyak 1098 opini dengan kata kunci “COVID-19”, tahap pengolahan data dimulai dari klasifikasi opini positif atau negatif, data cleansing, preprocessing, hingga didapatkan hasil akhir. Hasil pengujian diketahui metode Naïve Bayes lebih tinggi nilainya dari berbagai hasil pengujian, salah satunya adalah tingkat accuracy sebesar 63.21%, sedangkan metode KNN sebesar 58.10%, dan didapatkan pula kecenderunga opini masyarakat di twitter condong positif, hal tersebut dapat dilihat dari jumlah opini positif sebesar 610 sedangkan negatif 488, ditunjang dengan hasil pengujian precision di metode Naïve Bayes dengan nilai positif lebih inggi dari pada negatif yaitu 66.40% : 58.94%.
IMPLEMENTASI WEBQUAL 4.0 PADA WEBSITE CRM PLAZA TOYOTA TENDEAN Irfan Hidayat; Nining Suryani
INTI Nusa Mandiri Vol. 15 No. 1 (2020): INTI Periode Agustus 2020
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v15i1.1362

Abstract

Pemanfaatan website saat ini menjadi hal penting dalam membantu pekerjaan khususnya pada bengkel Plaza Toyota Tendean. Kualitas website yang baik menjadi faktor utama dalam menentukan kepuasan pengguna. Dalam penelitian ini responden adalah pengguna website CRM pada Bengkel Plaza Toyota Tendean. Pengguna mengeluhkan adanya permasalahan saat penggunaan website CRM, yaitu pada jam tertentu website tidak bisa diakses dengan baik. Jumlah sampel yang diukutsertakan dalam penelitian ini berjumlah 44 responden. Data yang diperoleh berasal dari penyebaran kuesioner terhadap responden pengguna website CRM. Pada penelitian ini metode yang dipakai adalah dengan metode webqual 4.0 dengan teknik analisis data menggunakan analisis regresi linier berganda. Hasil dari penelitian ini adalah nilai koefisien (R) sebesar 0,918, yang menjelaskan bahwa variabel kualitas kegunaan dan kualitas informasi memiliki kekuatan hubungan terhadap kualitas interaksi sebesar 91.8%, signifikan dan memberikan pengaruh positif terhadap kepuasan pengguna website CRM sehingga dinilai cukup baik. Tujuan dari penelitian ini untuk mengukur kualitas web crm yang digunakan terhadap kepuasan pengguna, sehingga dapat mengetahui sejauh mana tingkat kepuasan dan efektifitas web crm yang digunakan oleh penggunanya
SISTEM INFORMASI PEMBAYARAN PARKIR BERBASIS WEB DENGAN MENGGUNAKAN MODEL WATERFALL Achmad Maezar Bayu Aji; Biktra Rudianto
INTI Nusa Mandiri Vol. 15 No. 1 (2020): INTI Periode Agustus 2020
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v15i1.1367

Abstract

Seiring dengan bertambahnya jumlah penduduk dan meningkatnya kepemilikan kendaraan akan mempengaruhi pertumbuhan dan perkembangan kegiatan manusia didalamnya terutama pada kawasan yang memiliki prosentase yang tinggi atas kegiatan jasa, perdagangan, maupun komersil. Kendala muncul ketika sistem yang berjalan pada proses parkir masih belum terkomputerisasi dalam pengolahan data kendaraan masuk dan keluar serta perhitungan berapa lama waktu parkir masih menggunakan kalkulator untuk menentukan jumlah uang yang harus dibayar. Oleh karena itu diperlukan adanya sistem yang baik untuk mempermudah petugas parkir dalam melaksanakan tugasnya. Metode penelitian yang digunakan adalah metode waterfall yang didukung diagram UML dan bahasa pemrograman web. Hasil dari penelitian ini adalah sistem pembayaran parkir yang dapat terintegrasi dengan program sehingga lebih efektif dalam pengolahan data dan meminimalisir terjadinya kesalahan yang terjadi sebelumnya saat proses sistem belum terkomputerisasi.
SISTEM PENGAIRAN OTOMATIS MEDIA TANAM HIDROPONIK MENGGUNAKAN SENSOR KELEMBABAN UDARA Syarif Hidayatulloh; Fahmi Alwi Rifa’i; Rangga Ziancy Prasetya
INTI Nusa Mandiri Vol. 15 No. 1 (2020): INTI Periode Agustus 2020
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v15i1.1370

Abstract

Population growth has led to a reduction in urban agricultural land. With the development of technology, the agricultural sector is also experiencing growth in farming patterns without soil media known as hydroponics. Hydroponics requires watering through pipes run by manually operated electric pumps. Human resources are needed to standby to operate it. Do not rule out the possibility, humans can be negligent and cause the water system is disrupted so that plants die. Making a pump active automatically is a way to reduce the occurrence of these problems. This automatic pumping system will be controlled by a microcontroller to irrigate plants automatically and can meet the required nutrient sources. An ATMega16 microcontroller is used that is programmed to analyze the input and output signals as needed. The input is a DHT11 sensor that is used to measure temperature and humidity, while the output is a water pump to irrigate all pipes. The output is also equipped with a 16x2 LCD which functions to display information on temperature and humidity. With the automatic irrigation system in hydroponic plants can save energy and facilitate the work in caring for plants with hydroponic growing media.

Page 29 of 48 | Total Record : 475

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