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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.
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Articles 147 Documents
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SISTEM INFORMASI GEOGRAFIS PEMETAAN KAWASAN RAWAN KEBAKARAN MENGGUNAKAN METODE SEQUENTIAL PATTERN MINING Revi Melia; Nurul Mutiah; Syahru Rahmayuda
INTI Nusa Mandiri Vol 17 No 2 (2023): INTI Periode Februari 2023
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v17i2.4005

Abstract

Land and forest fires occur every year in Indonesia, where the cause is human negligence or intentional related to forest deforestation. Land and forest fires, of course, can cause economic, health, social and cultural, ecological and environmental damage. One indicator that is useful as a determinant of the occurrence of land fires is hot spots. To manage hotspot data, data mining can be done, namely by using the sequential pattern mining method to obtain hotspot sequence patterns that will be used as indicators of land fires. In overcoming these problems, a Geographic Information System (GIS) was designed to map the areas prone to land fires in Kubu Raya Regency. The results of this study are maps of the distribution of land fire-prone areas and the pattern of occurrence of hotspots calculated using the sequential pattern mining method which is expected to assist relevant agencies in carrying out mitigation and prevention efforts for land fires, so as to produce the right decisions for handling land fires in the District. Kingdom Fortress. Based on the results of functionality testing using the black box testing method, the SIGPKRK application (Geographical Information System for Mapping Fire Prone Areas) that was built can run and is in accordance with the functions that have been designed. As for the results of testing the system interface using a questionnaire through the Google form which was filled in by 30 respondents, the SIGPKRK application obtained a percentage result of 85.9% which was included in the "Very Good" category.
PERANCANGAN UI/UX APLIKASI JOBHUB LAYANAN APLIKASI FREELANCE MENGGUNAKAN FIGMA Sinarring Azi Laga; Deny Hermansyah; Mochammad Vaif Dwi Alifkhan
INTI Nusa Mandiri Vol 17 No 2 (2023): INTI Periode Februari 2023
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v17i2.4056

Abstract

Perkembangan ilmu pengetahuan dan teknologi informasi saat ini memberikan pengaruh yang kuat terhadap perkembangan hampir di semua bidang kehidupan. Minimnya informasi lowongan kerja juga menjadi salah satu masalah yang membuat pencari kerja dan pencari kerja sulit untuk bertemu, sehingga internet bisa menjadi salah satu alternatif pencarian kerja, oleh karena itu dibuatlah JobHub. Metode yang digunakan pada penelitian ini yakni prototyping. Metode prototyping merupakan salah satu metode yang menggunakan pendekatan secara bertahap, sehingga dapat dengan mudah dievaluasi oleh user maupun pemangku kepentingan. Pada dunia digital saat ini sangat mudah membuat prototype
ANALISIS KECEPATAN ENKRIPSI DEKRIPSI DAN ALOKASI MEMORI MENGGUNAKAN ALGORITMA DES, 3DES DAN ELGAMAL hermawan setiawan; Mutiara Intan Kamila; Yulandi Yulandi
INTI Nusa Mandiri Vol 17 No 2 (2023): INTI Periode Februari 2023
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v17i2.3900

Abstract

Perkembangan teknologi membawa kemajuan pesat dalam bidang Ilmu Pengetahuan dan Teknologi (IPTEK). Kemajuan ini memberikan akses ke dalam ketersediaan literatur dan kemudahan dalam mengakses informasi melalui berbagai media. Namun, keamanan atas informasi dan data diperlukan sebagai bentuk kerahasiaan, menjaga integritas data dan otentikasi. Oleh karena itu diperlukan ilmu kriptografi yang dapat menyandikan data. Salah satu contoh penggunaannya ialah dengan algoritma kriptografi. Algoritma DES merupakan algoritma kriptografi simetris yang dapat bekerja dengan cepat. Algoritma 3DES yang merupakan pengembangan dari DES memakai panjang kunci tiga kali ukuran kunci DES dan tiga kali perulangan skema DES. Sedangkan ElGamal yang merupakan algoritma kunci publik juga memiliki tingkat keamanan yang baik karena sulitnya menghitung logaritma diskrit. Tentunya ketiga algoritma memiliki performansi dan keunggulan yang berbeda. Terutama jika digunakan sebuah dokumen sebagai input dan output. Fokus penelitian membahas perbandingan kecepatan enkripsi dekripsi data dan alokasi memori algoritma DES, 3DES dan ElGamal pada data teks txt yang diimplementasikan dalam bahasa pemograman C.
PENERAPAN K-MEANS DALAM PENGELOMPOKKAN PEMANTAUAN KASUS TERKONFIRMASI COVID-19 Desy Winarty; Yumi Novita Dewi
INTI Nusa Mandiri Vol 17 No 2 (2023): INTI Periode Februari 2023
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v17i2.3882

Abstract

Covid-19 adalah sekelompok besar virus yang dapat menyebabkan penyakit pada manusia dan hewan. Virus corona jenis baru yang ditemukan pada manusia sejak kejadian luar biasa pada Desember 2019 di Wuhan, China kemudian diberi nama Severe Acute Respiratory Syndrome coronavirus 2 (SARS-COV2) dan menyebabkan penyakit Coronavirus 2019 (COVID-19). Kasus penyebaran Covid-19 di Indonesia terus meningkat, sehingga masyarakat diminta menjaga jarak untuk memutus mata rantai penyebaran virus tersebut. Dalam penelitian ini akan dilakukan perhitungan menggunakan Rapidminer dengan algoritma K-Means, dalam memantau kasus terkonfirmasi positif Covid-19 pada lima Kelurahan yaitu; Kel. Cipinang Melayu, Kel. Halim Perdana. Kel. Kebon Pala, Kel. Makasar, dan Kel. Pinang Ranti di Kecamatan Makasar. Dengan melihat data tersebut akan diketahui kelompok mana yang harus mendapatkan perhatian khusus seperti; isolasi mandiri, dirawat, sembuh, dan meninggal. Pengelompokkan dibagi menjadi 4 Cluster berdasarkan kriteria data kasus yang terkonfirmasi Covid-19 sebanyak 265 kasus. Penelitian ini menghasilkan pengelompokkan data pemantauan pasien Covid-19 dengan Kelurahan Makasar yang memerlukan pemantauan khusus.
ENSEMBLE STACKING DALAM ANALISA SENTIMEN REAKSI VETERAN MILITER AS TERHADAP PENGAMBILALIHAN AFGHANISTAN OLEH TALIBAN Henny Leidiyana
INTI Nusa Mandiri Vol 18 No 1 (2023): INTI Periode Agustus 2023
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v18i1.4175

Abstract

Abstrak— Sentiment analysis can be used to glean information about user opinions and identify social or political trends. There have been many studies on sentiment analysis using machine learning or lexicon-based methods that have been quite impressive. However, machine learning models often have difficulty generalizing to new data due to various reasons, such as overfitting and limited training data. These models are also prone to bias and variance, which negatively affect the accuracy of their predictions. This study discusses the application of the ensemble stacking method in sentiment analysis with the topic of the takeover of Afghanistan by the Taliban. By monitoring social media, the author uses a dataset in the form of comments on YouTube news channels related to the topic raised. Several studies have shown how the ensemble stacking method predicts better than the single model. The research was carried out by creating a sentiment classification model with logistic regression machine learning algorithms, SVM, KNN, and CART then the ensemble stacking classifier formed by the base learner of the four algorithms. As a result, for a single classifier, the highest average accuracy is the logistic regression algorithm of 74.6 percent. The four algorithms are compiled and predicted by logistic regression, and the stacking ensemble classifier that is applied produces better accuracy than the stand-alone classifier, which is 75.3 percent
PROTOTYPE SISTEM PENDAFTARAN RAWAT JALAN PADA RSUD LARANTUKA NUSA TENGGARA TIMUR BERBASIS MOBILE Irwan Herliawan; Ignasius Geryanto Saon; Yuri Yuliani; Kukuh Panggalih
INTI Nusa Mandiri Vol 18 No 1 (2023): INTI Periode Agustus 2023
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v18i1.4218

Abstract

Abstract—The role of the hospital is very helpful in efforts to improve the quality of public health, for this reason the need for fast and appropriate services so that human resources are maintained for their survival. At dr. Hospital Hendrikus Fernandez Larantuka East Nusa Tenggara, the registration service still uses the intranet system or local network and system errors often occur so that the patient registration process is hampered. In addition, the system created on the intranet network also has drawbacks, one of which is that it can only be accessed by people who are connected to the building's network. With these problems, there is a need for a mobile-based application that can be accessed directly by the public in real time from anywhere and any time. The purpose of this study is to create a mobile-based application design that is capable of processing inpatient registration services at hospitals with an attractive and user-friendly appearance. The method used in this study is the prototyping method. This method is a software development model by creating a prototype or model to provide an overview to the user by going through 5 stages, namely communications, quick plan, quick design model, prototype construct, and development delivery and feedback. The tool used in making this prototype is the Figma application. The results of this study are that there is an application prototype that can be used as reference material for RSUD dr. Hendrikus Fernandez Larantuka, East Nusa Tenggara, in developing his system so that the inpatient registration process can be carried out by the community anytime and anywhere. Likewise, information from the hospital can be received in real time by the public through the mobile-based hospital inpatient application.
SENTIMEN ANALISIS CHATGPT DENGAN ALGORITMA NAÏVE BAYES DAN OPTIMASI PSO Lestari Yusuf; Siti Masripah
INTI Nusa Mandiri Vol 18 No 1 (2023): INTI Periode Agustus 2023
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v18i1.4230

Abstract

Abstract— ChatGPT which is an OpenAI technology that responds to conversations between humans and machines. enabling users of all ages and backgrounds to communicate naturally in multiple languages ​​without having prior knowledge or experience in programming or the computer world. However, a technology will always be at odds and has flaws on the human side, various assumptions about chatGPT are formed from many sides, such as in the world of education, chatGPT creates parallels for teachers and lecturers. When giving assignments, students/students can use chatGPT as material in answering assignments from teachers/lecturers. And that results in students/students not carefully reading the answers to these assignments, if that continues to happen, students/students will find it too easy to get something and then will lose interest in solving problems with their own efforts. This article aims to analyze sentiment analysis whose data is taken from Twitter using the keyword "CahtGPT OpenAI". With 2,000 data calculated using the naive Bayes algorithm and optimized using PSO, it is found that sentiment analysis for chatGPT itself has an accuracy of 69.23% with a positive class of 0.503 and a negative of 0.497 and obtains an AUC curve value of 0.68 +/- 0.55..
MODEL RAPID APPLICATION DEVELOPMENT UNTUK RANCANG BANGUN SISTEM PENGELOLAAN TRANSAKSI PERDAGANGAN INDOSURRATI SUKSES MAKMUR Sismadi Sismadi; Sopiyan Dalis; Syamsul Bahri; Diki Setiawan
INTI Nusa Mandiri Vol 18 No 1 (2023): INTI Periode Agustus 2023
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v18i1.4241

Abstract

The problem of manual recording is one of the problems that is often experienced by small and medium-scale businesses such as MSMEs, this occurs along with the increasing quantity of transactions, a large number of items of goods, and the growth and development of businesses, including PT. Surrati Sukses Makmur is engaged in the retail sale of perfume products. This problem can have negative impacts, such as difficulties in monitoring stock so that discrepancies easily occur, transactions not recorded so that data is lost, preparation of reports taking more time, fraud, and the need for a place to store documents. To overcome this problem, it is necessary to analyze and design a digital-based sales information system that can help the process of recording sales to be more efficient, accurate, safe, and easy. By using a digital information system, there is no need for a special place for document storage, loss of transaction data can be minimized so that it has an impact, PT. Surrati Sukses Makmur can improve performance and quality of service to customers, as well as operational costs can be reduced and inventory management can be easier. The design of this system uses the Rapid application Development (RAD) model with the aim that applications can be completed immediately and reduce the cost of making application systems so that reports can be made in a comprehensive and effective and efficient manner, , as well as with the black-box testing method in testing the application can be used more effectively and efficiently, and as a whole is in accordance with system requirements
KLASIFIKASI TIPE BERAT TUBUH MENGGUNAKAN METODE SUPPORT VECTOR MACHINE Taufik Hidayatulloh; Lestari Yusuf
INTI Nusa Mandiri Vol 18 No 1 (2023): INTI Periode Agustus 2023
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v18i1.4254

Abstract

Abstract—The news of the death of a man in Indonesia is in the public spotlight because doctors have difficulty treating his illness because being overweight or obese causes the organs in the body to fail to function properly. Overweight causes the body to experience several health problems, including heart defects, diabetes, and several other diseases that can attack vital organs in the body. According to data on deaths caused by obesity, there are as many as 60 per 100,000 Indonesian population, and are a very feared killer. Faster handling of recognizing our body weight is important for each individual’s health. Classification can also help overweight in a person known more quickly. In this study, the classification algorithm that will be used is the Support vector machine (SVM). With 252 data, this study will use the SVM algorithm and look for the level of accuracy of the two classification classes, namely normal and overweight. This study produces an accuracy rate of 92.11% with a ROC curve value of 0.990 which means that the classification in this study is very good.
METODE VECTOR SPACE MODEL UNTUK WEB SCRAPING PADA WEBSITE FREELANCE Andi Nurkholis; Yusra Fernando; Faris Arkans Ans
INTI Nusa Mandiri Vol 18 No 1 (2023): INTI Periode Agustus 2023
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v18i1.4266

Abstract

Abstract— In digitalization era, internet is at the center of all lines of community activity, just like the field of work. Currently, many platforms provide job vacancies, especially for freelancers. To obtain this information, users usually need to open several websites to find information about suitable job vacancies. Web scraping offers solution to overcome these problems. Based on research that has been done, the BeautifulSoup and Selenium libraries will be used to collect data. To search for data, vector space model method is used to find the level of data similarity between the query and the document. In exploring data, the average near-perfect recall value is 98%, while the average precision value is 56%. This is because data search uses three parameters, so the possibility of retrieving irrelevant data is more significant if the document contains a word in the user's query, even though the context does not match. Utilizing the Streamlit framework in Python can display the data processing results and help users navigate the web scraping process, data processing, and data search. This study aims to implement the web scraping method to retrieve data from freelance websites: Freelance, Project, and Sribulancer. By applying the vector space model method, users can search data from several websites without opening freelance websites one by one. Using data visualization in the form of a web application using the Streamlit framework, the web scraping results can also be processed to be presented in a more helpful form and save the user's time

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