Jurnal Riset Informatika dan Teknologi Informasi (JRITI)
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.
Articles
49 Documents
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
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
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
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.
Pengaruh Jumlah Jam Belajar Terhadap Nilai Siswa Dengan Metode Regresi Linear Sederhana
Nawfal, Zaidan
Jurnal Riset Informatika dan Teknologi Informasi Vol 3 No 1 (2025): Augustus - November 2025
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat (JPPM)
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.58776/jriti.v3i1.129
This research aims to determine the effect of study hours on student grades. To increase student grades, there are influencing factors, one of which is the number of study hours. Obstacles that often occur to improving grades are students' lack of awareness about their lack of interest in learning and the small number of study hours spent outside of class. This research uses a simple linear regression method and uses orange data mining tools, the results show that there is a relationship between study hours and student grades. Data shows that the more time students spend studying, the better their academic scores. The final results of this research can provide important information to teachers, parents and students about the importance of allocating sufficient study time to achieve the best grades and can help us understand the factors that influence student learning and provide a basis for developing better learning strategies.
Pengaruh Keluarga Terhadap Banyaknya Sampah Yang Ada Di Lingkungan Rt01 Banten Indah Permai Dengan Metode Regresi Linear Sederhana Menggunakan Orange Data Mining
Hasbi Assiddiq, Muhamad
Jurnal Riset Informatika dan Teknologi Informasi Vol 2 No 1 (2024): Agustus - November 2024
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat (JPPM)
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.58776/jriti.v2i1.130
Waste is the accumulation of refuse generated by humans, which in the household context is categorized into organic, inorganic, and domestic waste. In the RT 01 RW 027 community of Perumahan Banten Indah Permai, each household produces waste daily, and these quantities are recorded by the neighborhood head to calculate the daily fee for waste collectors—where the tariff is based on the weight of waste (in kilograms) transported. By employing predictive methods and simple linear regression on the Orange platform, this study aims to measure the influence of family size on the daily volume of waste collected. The analysis results demonstrate a positive and significant relationship between family size, consumption patterns, and levels of environmental awareness with the rate of waste accumulation. These findings provide valuable insights for designing more effective waste management strategies, emphasizing the active role of each family in waste reduction and organization efforts.
Pengaruh Iklan di TV Terhadap Penjualan Dengan Metode Regresi Linear Sederhana
Hidayat, Deni
Jurnal Riset Informatika dan Teknologi Informasi Vol 2 No 1 (2024): Agustus - November 2024
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat (JPPM)
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.58776/jriti.v2i1.131
Penelitian ini menggunakan metode regresi linear sederhana dan bertujuan untuk mengetahui dan menganalisis pengaruh iklan televisi terhadap penjualan produk. Teknik yang digunakan dalam menganalisis adalah regresi linier sederhana untuk menguji hubungan antara variabel independen (iklan di TV) dan variabel dependen (penjualan produk). Penelitian ini melibatkan pengumpulan data dari iklan di TV berbagai perusahaan dan penjualan produk. Data dianalisis menggunakan regresi linier sederhana untuk mengetahui apakah iklan di TV dapat mempengaruhi perubahan penjualan produk. pada penelitian ini menunjukkan dampak yang signifikan dan positif dari kedua variabel tersebut. Pada hasil regresi linear menunjukkan angka yang positif yaitu . sehingga memiliki kekuatan hubungan antara kedua variabel tersebut. Selain itu, dilakukan juga perhitungan korelasi pearson untuk mengukur kekuatan dan hubungan pada kedua variabel tersebut dan hasilnya positif yaitu . Hasil penelitian ini memberikan pemahaman kepada para pengambil keputusan pemasaran dan periklanan mengenai efektivitas iklan televisi dalam meningkatkan penjualan. Hasil penelitian ini dapat membantu perusahaan dalam mengembangkan strategi periklanan yang lebih baik dan efektif. Kata kunci : iklan, penjualan, regresi linear sederhana, orange
Data Mining Prediksi Jumlah Kematian Berjenis Kelamin Perempuan Berdasarkan Usia Dengan Menggunakan Metode Regresi Linear Sederhana
raksa negara, syahrizal
Jurnal Riset Informatika dan Teknologi Informasi Vol 2 No 1 (2024): Agustus - November 2024
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat (JPPM)
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.58776/jriti.v2i1.132
This study aims to analyze the relationship between the number of female deaths and age. It uses mortality data collected from relevant agencies and applies simple linear regression to model the relationship between these two variables. The results show a positive association: as age increases, the risk of death among females also rises. The derived simple linear regression model can be used to predict the number of female deaths based on age. This research contributes to understanding age‑related patterns of female mortality and can inform policymakers in designing health programs and policies targeted at the most at‑risk female age groups. However, the study is limited by its use of data from a single year and one region; future research with a broader dataset and more sophisticated analytical methods is needed to achieve a more comprehensive understanding of factors influencing female mortality by age.
Pengaruh Umur Pemain Tenis Lapangan Terhadap Ranking Dunia Di Jumlah Point Pemain Tenis Lapangan Menggunakan Metode Regresi Linear Sederhana
Gustian, Ifan
Jurnal Riset Informatika dan Teknologi Informasi Vol 2 No 1 (2024): Agustus - November 2024
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat (JPPM)
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.58776/jriti.v2i1.133
This study aims to analyze the relationship between the number of points scored and the age of tennis players using a simple linear regression method. Data were collected from active players, including the points they earned in matches and their ages. Simple linear regression analysis was employed to determine the extent of the linear relationship between these two variables. The results indicate a correlation between players’ age and the number of points they obtain. The regression coefficients and their statistical significance are examined to assess the strength and relevance of this relationship. Findings from this research offer deeper insights into the factors that may influence on-court performance, with a particular focus on age. The discussion covers the interpretation of results, implications for tennis coaching and management, and potential applications in training programs. Study limitations and recommendations for future research are also addressed. Ultimately, this research is expected to contribute to a better understanding of the determinants of tennis performance, especially regarding the role of age.
Data Mining Tempat Penampungan Sampah Sementara (TPS) Di Wilayah Jakarta Tahun 2019 Dengan Menggunakan Metode Regresi Linear Sederhana
abiyan, rifqi zaidan
Jurnal Riset Informatika dan Teknologi Informasi Vol 2 No 2 (2025): Desember 2024 - Maret 2025
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat (JPPM)
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.58776/jriti.v2i2.134
The waste collection stage at temporary waste storage sites (TPS) is an aspect of waste management that requires very special attention in order to improve waste characteristics. This study aims to determine how community behavior in disposing of waste at Temporary Disposal Sites (TPS) will naturally impact the environmental conditions of those sites. Ineffective management of these storage sites has led to environmental and public health problems in Jakarta. Sustainable solutions—such as the application of advanced technology and active community involvement—are therefore crucial to building a responsive waste management system. This study provides insights into the dynamics of waste storage sites in Jakarta, with the goal of contributing to more effective and integrated policy planning to meet the challenges of waste management in this rapidly growing city.
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
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.