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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 220 Documents
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PENGARUH TEKNOLOGI INTERNET DALAM MENINGKATKAN PROSES PENGAJARAN GURU DI SD GLOBAL PRESTASI BEKASI Magdalena Gire Namang; Santoso Setiawan; Esty Purwaningsih
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 | Full PDF (838.509 KB)

Abstract

Internet technology is no longer just known as assistive devices or entertainment purposes only but has evolved into one of the tools in the learning system. Learning can be done anywhere and anytime. The learning process will not achieve optimal results if not balanced diversity of approaches and methods, both individual and group approach. This means that instead of teacher teaching resources but also other learning resources to meet the educational elements. Teachers in schools in accordance with the functions assigned to optimize the ability of students in the learning process in the classroom. The role of the teacher in question is all matters relating to all aspects including approaches to teaching in schools. But what happened in school today are teachers who tend to simply explain and tell something to the students alone and glued to the existing textbooks. Learning model like that many students is more passive and less likely to feel bored. Therefore, teachers should be able to change the old paradigm by utilizing internet technology in the learning process in the classroom are not only using textbooks.
INTEGRASI METODE SAMPLE BOOTSTRAPPING DAN WEIGHTED PRINCIPAL COMPONENT ANALISYS (PCA) UNTUK MENINGKATKAN PERFORMA NAÏVE BAYES PADA CITRA TUNGGAL PAP SMEAR Yumi Novita Dewi; Harsih Rianto; Dwiza Riana; Juarni Siregar
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.v14i2.1103

Abstract

Research on cervical cancer with the Pap Smear method is useful for finding pre-cancer diagnoses. Associated with previous research that the accuracy of the Naïve Bayes algorithm to the classification of a single Pap smear image still has an unsatisfactory accuracy. Whereas determining the class of single Pap cell smears is very important in determining whether these cells are normal or not. This study aims to determine whether integration using the Sample Bootstrapping (SB) method with the Weighted Principal Component Analysis (W-PCA) algorithm can improve the performance of the Naïve Bayes algorithm for seven different cell types. This model is the best solution used in the classification of datasets that are classified as having large dimensions. So that the integration of the two algorithms can increase the accuracy value to 87.24% for the seven classes and 97.30% for the two classes, and it can be concluded that with this integration model can improve the best accuracy value.
ANIMASI INTERAKTIF PEMBELAJARAN SHALAT MENGGUNAKAN METODE MULTIMEDIA DEVELOPMENT LIFE CYCLE PADA RA AT-TAUFIQ CIKARANG Yulihani Yulihani; Siti Masturoh; Agung Fazriansyah; Ahmad Hafidzul Kahfi
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.v14i2.1106

Abstract

Abstract— Education is one of the main foundations in shaping one's personality. Learning to pray must be instilled in children from an early age. Prayer is a weapon of believers, a pillar of religion, light in the sky and on earth. Prayers can prevent vile and morbid deeds. Prayers can be judged if they fulfill all the conditions and pillars. The obligation to perform prayer as well as by carrying out other obligations according to the Islamic Shari'ah. This research was conducted using the Adobe Flash application program, using the method of developing Multimedia Development Life Cycle (MDLC) software, the data collection method used in this study were Observation, Interview, and Library methods. From the results of this study, obtained an Interactive Animation of Five Times Prayer Learning using Adobe Flash CS6 as a learning vehicle for students and facilitating RA Ataufiq students at Cikarang in obtaining material information, especially for prayer learning.
PERANCANGAN SISTEM INFORMASI PEMBAYARAN SPP TERPADU MENGGUNAKAN MODEL PROTOTIPE Imam Sutoyo
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.v14i2.1125

Abstract

SPP payment has become a main administrative activity in every educational institution, including Islamic Boarding School. SPP payment made only using manual procedures experience many obstacles. Therefore, a computer-based information system is needed to overcome these obstacles. This study aims to develop an SPP Payment System using the prototype model. The objective of this study is an Information Systems that can be applied practically in Islamic Boarding School to overcome obstacles in manual processing so as to increase the effectiveness and efficiency of the administration of SPP payments.
SISTEM INFORMASI PENJUALAN BAN BERBASIS ANDROID PADA EXPRESS BAN Muhamad Alda
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.v14i2.1130

Abstract

Penulis melakukan penelitian ini dengan tujuan untuk merancang dan membangun sebuah sistem informasi berbasis android yang dapat digunakan untuk melakukan proses pengolahan transaksi penjualan ban pada Express Ban. Sistem informasi dirancang dan dibangun berdasarkan tahapan-tahapan yang terdapat pada model waterfall, terdiri dari tahapan analisis, desain, coding, testing dan implementasi. Dengan adanya sistem informasi ini, diharapkan dapat membantu Express Ban dalam menyelesaikan permasalahan yang terjadi pada proses penjualan yang selama ini masih dilakukan secara manual menjadi lebih cepat dan mudah melalui smartphone android. Tools yang digunakan dalam merancang sistem informasi penjualan adalah UML (Unified Modeling Language), terdiri dari Use Case Diagram, Sequence Diagram, Activity Diagram dan Class Diagram sedangkan aplikasi yang digunakan dalam membangun sistem informasi adalah Kodular dan database Airtable
PERANCANGAN APLIKASI OPTICAL CHARACTER RECOGNITION BERBASIS BACKPROPAGATION PADA PERANGKAT MOBILE Toby Zulkarnain; Suharyanto Suharyanto; Anton Anton
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.v14i2.1134

Abstract

Teks adalah salah satu cara komunikasi yang paling ekspresif, dan dapat disematkan ke dalam dokumen sebagai sarana komunikasi informasi lingkungan. Dalam beberapa tahun terakhir, banyak kemajuan teknologi masalah pendeteksian dan pengenalan teks dalam gambar dan video. Android merupakan salah satu generasi telepon genggam yang sangat banyak digunakan di Indonesia dan memiliki mobilitas yang tinggi. Pengenalan karakter teks biasanya berkaitan dengan pengenalan karakter yang diproses secara optik dan juga dikenal sebagai optical character recognition (OCR). Metode yang digunakan dalam sistem ini meliputi akusisi gambar dan pengenalan karakter. Untuk prediksi pengenalan karakter citra menggunakan neural network dengan algoritma backpropagation, yang berjalan di layanan Firebase ML Kit. Firebase ML Kit digunakan untuk membantu dalam proses computing OCR yang terjadi pada platform android. Aplikasi ini diharapkan dapat menjadi salah satu alternatif media pembantu dalam merubah teks gambar kedalam teks digital secara cepat. Dari hasil pengujian didadapkan tingkat akurasi persaamaan karakter sebesari 99% dari ke lima sampel uji.
ANALISIS MANFAAT E- AGRICULTURAL MENGUNAKAN METODE SEMPLS (STUDY KASUS LIMAKILO.ID) Andi Arfian
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.v14i2.1142

Abstract

In the era of development of the world of digital information can be one of the answers to the challenges of the era in the current era. Answered, it answered the discussion in Indonesia, which was occasionally still haunted by the distribution chain that was too long and resulted in price spikes. One way is by implementing an online-based sales system and one of them is a partner with a profit sharing system between farmers and buyers. In its management, starting from capital lending, agricultural management, post-harvest processing to sales, packaging, to shipping. Each product supports the Limakilo.id website and the main objective is the empowerment of the Limakilo.id website for farmers in rural areas. In this study, researchers used the da Mclean delone model by using the sem method and qualitative pls tools. The purpose of this research is to study e-commerce. Most of the fields of agriculture can help improve the economics of farmers and villages in obtaining information on data but done through interviews, observations and direction of farmers and farmers of agricultural businesses in empowering the economy of rural communities in agriculture. The study analyzed activities regarding agricultural output in several villages in Sukamakmur District, Bogor Regency, West Java, using the system development model with the Delone and Mclean model and management data using SmartPls. From the results of this study it can be concluded that the limakilo e-commerce research. Id by Farmers also supports the agricultural economy in the villages is still very low in its utilization. Many are of the opinion and difficulties in carrying out these sales activities.
IMPLEMENTASI METODE WARD DAN PEPPARD DALAM PERENCANAAN SI/TI DI KANTOR ARSIP DAN PERPUSTAKAAN KOTA TASIKMALAYA Melisa Winda Pertiwi
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.v14i2.1152

Abstract

Development Strategy of Information Systems and Technology (SI/TI) in an organization of Government as well as a pemanfaata absolutely necessary to continue to improve the performance of employees in running business processes such as in the areas of coaching and Development Office of the archives and library of the town of Tasikmalaya don't have a business process excellence. Therefore, design kerangaka do it with in the planning SI/TI Using the method of analysis of the ward and Peppard has been in the form of results define strategy SI/TI The design of the framework of planning strategies SI/TI featuring the resulting Roadmap to future Application Portfolio. This future application can serve as a reference for the development of information systems are integrated to support the needs of the SI/TI Office of archives and library of the town of Tasikmalaya.
DIAGNOSA DEPRESI PADA MAHASISWA MENGGUNAKAN METODE CERTAINTY FACTOR DAN FORWARD CHAINING Ibnu Nur Khawarizmi; Agung Triayudi; Ira Diana Sholihati
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.v14i2.1173

Abstract

Many person are not aware of the dangers of depression. It's hard to know the symptoms and overcome depression early on. In this case adolescents are the most vulnerable to the disease because at that time humans are in a transition phase from childhood to adulthood. WHO says every second there is a case of suicide due to severe depression. Based on these cases the researchers aimed to make an application to help the community, especially students, to be able to recognize and diagnose depression from an early age. The system in this application is an expert system using the Certainty Factor and Forward Chaining method. Inputs received by this application are biodata and psychological questions about the symptoms experienced by the user. The resulting output is the diagnosis, as well as the percentage of possible diseases suffered by user.
KLASIFIKASI OPPORTUNITY MENGGUNAKAN ALGORITMA C4.5, C4.5 DAN NAÏVE BAYES BERBASIS PARTICLE SWARM OPTIMIZATION Endang Sri Palupi; Said Mirza Pahlevi
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.v14i2.1178

Abstract

Predicting an opportunity whether to be successful (buy) or not (no), with the aim to increase selling for target achievement of marketing. Marketing is required to find a good opportunity so that it can be a prospect of sales in great value and the long term. In this research, the dataset is taken from a CRM application (Customer Relationship Management) at PT. XYZ, sales of telesales team in January - March 2016. From these results, the PSO-based C4.5 algorithm has the highest accuracy and AUC value. In this research comparative algorithms C4.5, C4.5 based PSO, and Naïve Bayes using Confusion Matrix testing methods and ROC curves. The highest accuracy value using PSO-based C4.5 algorithm is 80,90% with AUC value 0.833 is good classification, next is Naïve Bayes based PSO algorithm with accuracy value equal to 83,15% and value of AUC 0,894 is good classification, the last C4.5 algorithm the lowest accuracy value of 66.67% with AUC 0.592 is failure classification. From these results, the PSO-based C4.5 algorithm has the highest accuracy.

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