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Jurnal Riset Informatika dan Teknologi Informasi (JRITI)
Published by Jejaring Penelitian dan Pengabdian Masyarakat
ISSN : 30248167     EISSN : 31098959     DOI : https://doi.org/10.58776/jriti.v3i1
Core Subject : Science,
Computer Science & IT
Jurnal Riset Informatika dan Teknologi Informasi merupakan jurnal ilmiah yang diterbitkan oleh Jejaring Penelitian dan Pengabdian Masyarakat (JPPM) Banten. Jurnal ilmiah ini memuat hasil riset dosen, peneliti, mahasiswa dan masyarakat umum dibidang informatika dan teknologi informasi serta rumpun dan turunannya. Jurnal ini terbit tiga kali dalam setahun. Terbitan pertama di bulan Agustus 2023. Sedangkan untuk periode terbit adalah Agustus, Desember, dan April. Adapun bidang riset yang menjadi fokus jurnal ini (dengan tanpa bermaksud membatasi) adalah terkait dengan topik : data mining, data science, pembelajaran mesin (machine learning), kecerdasan buatan, sistem pakar, sistem informasi manajemen, sistem pendukung keputusan, cyber security, soft computing, logika samar (fuzzy logic), pengenalan pola, computer vission, pengolahan citra digital, software engineering, manajemen proyek, software testing, dan topik lain terkait informatika dan teknologi informasi yang relevan.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 7 Documents
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Search results for , issue "Vol 1 No 3 (2024): April - Juli 2024" : 7 Documents clear
Penerapan Decision Tree Regression dalam Memprediksi Harga Rumah di Provinsi Jawa Barat Almajid, Nafis; Ginting, Yanuar; Ramadhan, Alif Izzudin
Jurnal Riset Informatika dan Teknologi Informasi Vol 1 No 3 (2024): April - Juli 2024
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat (JPPM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58776/jriti.v1i3.64

Abstract

A house plays an important role as a basic necessity, not only as a shelter and place of rest. Additionally, the selling price of a house is greatly influenced by environmental factors such as proximity to shopping centers, office buildings, land size, and others. To gain a more accurate understanding and predict the selling price of houses, this research proposes the application of machine learning methods. This study involves the use of three machine learning algorithms: multiple linear regression, decision tree regression, and linear support vector regression to predict house prices in West Java Province. By utilizing historical data and various relevant features, such as the number of rooms, bathrooms, garages, land area, and width, the machine learning algorithms will conduct complex analyses and provide more accurate price estimations. The expected outcome of this research is to provide valuable insights for stakeholders in the property industry in West Java Province. The adoption of machine learning approaches is anticipated to enhance the ability to predict house prices and provide useful information for buyers, sellers, and other relevant parties in making better decisions in property transactions.
SISTEM INFORMASI PERSEDIAAN BAHAN ROTI PADA PAPIBUN BAKERY MENGGUNAKAN METODE FIFO (FIRST IN FIRST OUT) DAN LIFO (LAST IN FIRST OUT) SUPRIYADI, ARIF
Jurnal Riset Informatika dan Teknologi Informasi Vol 1 No 3 (2024): April - Juli 2024
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat (JPPM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58776/jriti.v1i3.124

Abstract

CV Papibun Bakery is a CV that operates in the field of selling food which is produced every day and lots of production materials go in and out for the food production process. Previously, CV Papibun Bakery still used manual methods such as records in ingredient inventory, where ingredient stock records were sometimes lost or damaged, and ingredients coming in and out were still irregular, which could cause the ingredients to expire because they were stored for too long. For this reason, CV Papibun Bakery needs a system that can manage the inventory of digital production materials and regulate the entry and exit of materials using methods such as FIFO (First In First Out) and LIFO (Last In First Out), making it easier for employees to manage material inventories, and materials that go in first must go out first to reduce the risk of materials that could expire. This can also guarantee that production is always of high quality and customers get the best quality from CV Papibun Bakery
Penerapan Data Mining Untuk Analisis Pengaruh Nilai Imla dan Nahwu Terhadap Nilai Bahasa Arab Di Pesantren Nadiroh, Yahdinil Firdha
Jurnal Riset Informatika dan Teknologi Informasi Vol 1 No 3 (2024): April - Juli 2024
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat (JPPM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58776/jriti.v1i3.125

Abstract

Students in Islamic boarding schools often use Arabic as their daily language. It is even mandatory to use it to communicate. This requires students to study harder and memorize more Arabic vocabulary. This study aims to apply data mining using multiple linear regression methods to analyze the effect of Imla and Nahwu values on Arabic language values in female students in Islamic boarding schools. This study used samples of female students' values in Imla, Nahwu, and Arabic. This method is applied to identify the relationship and influence of the three values and whether they can affect the level of success in Arabic language lessons. With data mining, the influence and relationship between the three lessons can be determined. And with this study, it is expected to provide a positive contribution to Islamic boarding schools and similar educational institutions in efforts to improve the quality of Arabic language learning. In addition, the data mining method applied can be used as a reference for further research exploring further information about the determining factors for the success of learning Arabic in Islamic boarding schools.
ANALISIS KADAR KOTORAN, KADAR AIR DAN INTI MASAK PADA INTI SAWIT DI PT. KEDATON MULIA PRIMAS MENGGUNAKAN METODE REGRESI LINIER BERGANDA Zahrotunnisa, Vista
Jurnal Riset Informatika dan Teknologi Informasi Vol 1 No 3 (2024): April - Juli 2024
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat (JPPM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58776/jriti.v1i3.126

Abstract

The main production of oil palm plants is fruits. Vegetable oil made from fruits Palm oil consists of CPO (Crude Palm Oil) and PKO (Palm Kernel Oil) derived from kernels. palm oil (endocarp). Palm kernel (kernel) is a superior product with high selling value and is further refined into palm kernel oil. This affects the quality of the kernel. water and dirt content during temporary storage in the core tank before being sent to partners. . The quality of palm kernel oil affects the quality of palm kernel oil. This study aims to determine the effect of moisture and dirt content on the quality of palm kernel in the core tank. Social purpose This research was conducted by PT. Kedaton Mulia Primas The two methods used in this study are the separation of dirt content and the method to determine the moisture content in palm kernel using the Moisture Analyzer Balance Tool with the principle of evaporation. 
ANALISIS REGRESI LINEAR BERGANDA PADA HUBUNGAN ANTARA TINGGI BADAN, BERAT BADAN DAN USIA TERHADAP PERKEMBANGAN POTENSI AKADEMIK ANAK USIA DINI (STUDI KASUS: RA - ADDURIYAT) Handayani, Putri
Jurnal Riset Informatika dan Teknologi Informasi Vol 1 No 3 (2024): April - Juli 2024
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat (JPPM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58776/jriti.v1i3.127

Abstract

To support the development of academic potential of RA Adduriyat students, an in-depth understanding of the components that influence the development of academic potential in children is needed. This study will use multiple linear regression focusing on three factors that influence academic potential, namely: weight, height, and age. The population in this study is all students of RA Adduriyat. Data in the form of secondary data obtained from one of the educators at RA Adduriyat. The data obtained in this study were analyzed descriptively and then analyzed using multiple linear regression tests which aim to make predictions of the value of a dependent variable based on the value of the independent variable. The tools used in this research are orange software.  
PENGARUH JUMLAH ORANG YANG MELAKUKAN TEST PCR TERHADAP KENAIKAN KASUS POSITIF COVID-19 DENGAN METODE REGRESI LINEAR SEDERHANA Alinda Putri, Salsabila
Jurnal Riset Informatika dan Teknologi Informasi Vol 1 No 3 (2024): April - Juli 2024
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat (JPPM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58776/jriti.v1i3.128

Abstract

In 2020, there was a lot of news broadcasting the existence of a new virus which we usually know as Covid-19. The WHO states that this virus can spread quickly through the air and face-to-face contact with other people. Therefore, the government urges the public to comply with the protocols that have been established and carry out health tests in the form of PCR tests or Rapid Tests to be able to identify whether the person is affected by the virus or not, but many people also doubt whether the test is accurate or just a formality. Therefore, the author conducted this research to determine whether there is a strong relationship or influence between people who carry out PCR tests on the increase in positive cases of Covid-19. To determine whether there is a strong influence between variable one (PCR test) and variable two (positive Covid ) then the author uses a simple linear regression method in the calculation process.
ANALISIS KUALITAS AIR SUMUR DI DKI JAKARTA BERDASARKAN ZAT PADAT TERLARUT MENGGUNAKAN REGRESI LINEAR SEDERHANA A Haikal, Vikri
Jurnal Riset Informatika dan Teknologi Informasi Vol 1 No 3 (2024): April - Juli 2024
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat (JPPM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58776/jriti.v1i3.136

Abstract

Water is one of the most important basic human needs. Good water quality is essential for maintaining human health. One way to determine water quality is to test water quality parameters. This study aims to analyze the quality of groundwater in DKI Jakarta based on dissolved solids. The research data were obtained from Open Data Jakarta. The data used included groundwater quality parameters, namely dissolved solids (TDS). The results showed that TDS has a significant relationship with the quality of groundwater in DKI Jakarta. The formed linear regression model can be used to predict the quality of groundwater in DKI Jakarta.

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