cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Erinda Anasia Agustin
Contact Email
jissismartpublisher@gmail.com
Phone
+6289526247010
Journal Mail Official
jissi@smartpublisher.id
Editorial Address
Jl. Kyai Sembung No. 43 Blorok, Kecamatan Brangsong, Kabupaten Kendal - Jawa Tengah 51371
Location
Kab. kendal,
Jawa tengah
INDONESIA
Jurnal Riset Sistem Informasi
Published by CV. Denasya Smart Publisher
ISSN : 30479029     EISSN : 30479010     DOI : 10.69714
Core Subject : Science, Education,
Computer Science & IT Education Other
Jurnal Riset Sistem Informasi (JISSI) dengan 3047-9010, p-ISSN : 3047-9029 diterbitkan oleh Denasya Smart Publisher. Jurnal Riset Sistem Informasi(JISSI) memuat naskah hasil-hasil penelitian di bidang Sistem Informasi. Jurnal Riset Sistem Informasi (JISSI) berkomitmen untuk memuat artikel berbahasa Indonesia yang berkualitas dan dapat menjadi rujukan utama para peneliti dalam bidang ilmu Rekayasa Sistem, Teknologi Informasi, Sistem Informasi, Ilmu Komputer, Manajemen,Manajemen Informatika dan Bisnis. Jurnal ini terbit 1 tahun 4 kali (Januari, April, juli dan oktober).
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 151 Documents
 12   13   14   15   16 
Klasifikasi Kelayakan Penerima Beasiswa Menggunakan Algoritma Decision Tree Ridha Dewi Maryam; Dewi Lintang; Aini Qurratul
Jurnal Riset Sistem Informasi Vol. 3 No. 4 (2026): Oktober: Jurnal Riset Sistem Informasi
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/cm0yms36

Abstract

The scholarship selection process is a crucial activity in higher education, ensuring that educational assistance is provided to students who truly need it. However, due to the large number of applicants and various criteria required, such as GPA, parental income, number of dependents, organizational membership, and other factors, the selection process becomes more complex. Therefore, a method is needed to facilitate a more objective and efficient decision-making process. This study aims to categorize those eligible for scholarships using the Decision Tree method. The method used is data mining with classification techniques. The dataset used includes several attributes such as gender, year of graduation, cumulative grade point average, number of credits, distance from residence to campus, parents' occupation, parents' income, membership in an organization, involvement in a small or medium-sized business, number of dependents in the family, and scholarship recipient status. The data processing process was carried out using the RapidMiner application through several stages: data selection, data preparation, data transformation, Decision Tree model creation, and model quality checking. The results show that the dependent factor has the greatest influence in determining whether someone is eligible or not.
Penerapan Aplikasi Flo Kalender Menstruasi Berbasis Mobile untuk Meningkatkan Pemahaman Siklus Menstruasi Siswi MTs Ihyauddiniyah duren Zaehol Fatah; Fahmi Ira Zahrotul Ula
Jurnal Riset Sistem Informasi Vol. 3 No. 4 (2026): Oktober: Jurnal Riset Sistem Informasi
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/y9ep1219

Abstract

The rise of mobile health (mHealth) technology has simplified the process for young girls to manage their reproductive health, especially through menstrual applications such as Flo. These applications empower users to track, forecast, and observe their menstrual cycles with increased accuracy. This research intends to investigate how the Flo app, a mobile menstrual tracker, assists female students at MTs Ihyauddiniyah Duren in comprehending their menstrual cycles.This study used a descriptive quantitative technique as its methodology, using a survey method eith famale students as participants. Data was gathered through questionnaires filled out before and after participants engaged with the Flo app to assess shifts in their understanding of the menstrual cycle. The results indicate that the Flo app may enhance students' knowledge regarding the menstrual cycle, including the ability to predict when their next period will start, identify fertile windows, and understand the elements that affect cycle regulation. This is consistent with the advancements in mHealth applications that allow users to independently and timely track their reproductive health.Consequently, the use of the Flo app, a mobile menstrual tracker, has been demonstrated to be successful in monitoring young girls menstrual cycles and serving as an instuctional tool, thus enhancing their awareness and comprehension of reproductive health from an early age.
Implementasi Data Mining Menggunakan Algoritma ID3 pada Klasifikasi Produktifitas Wakaf Made Asri Syaiba Almihda Hasan; Faradiba Isqi Arifillah Al Azizih; Muhammad Ali Ridla
Jurnal Riset Sistem Informasi Vol. 3 No. 4 (2026): Oktober: Jurnal Riset Sistem Informasi
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/nst7hx71

Abstract

The development of information technology encourages the use of data mining in various fields, including in waqf data management. Waqf is an Islamic economic instrument that has great potential to improve community welfare if managed productively and sustainably. However, the level of waqf asset productivity in each region tends to vary, so a method capable of grouping waqf productivity effectively and systematically is needed. This study aims to implement the Iterative Dichotomiser 3 (ID3) algorithm to classify waqf productivity in Karangasem Regency into high, medium, and low categories. The method used in this study is data mining with a decision tree-based classification technique using the ID3 algorithm. The data used is waqf data from Karangasem Regency, Bali, with several attributes that influence the level of waqf productivity. The research stages include data collection, preprocessing, entropy and information gain calculations, decision tree formation, and testing the classification results. The results show that the ID3 algorithm is able to classify waqf productivity well based on the attributes used and produces easy-to-understand decision rules. The best model produced achieved an accuracy rate of 88.89%. The implementation of the ID3 algorithm is expected to assist the management process and decision-making related to waqf productivity more quickly, effectively, and objectively.
Penerapan Algoritma Apriori Untuk Menemukan Pola Asosiasi pada Data Penjualan Toko Buku Siti Shofiah; Venia Ratna Dita; Muhammad Ali Ridla
Jurnal Riset Sistem Informasi Vol. 3 No. 4 (2026): Oktober: Jurnal Riset Sistem Informasi
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/cxrvag24

Abstract

This study applies the Apriori algorithm in transaction analysis and sales in a bookstore setting to identify product relationships that are frequently purchased at the same time. The dataset analyzed consists of 2.470 customer transactions from Kaggle and was processed using RapidMiner with a minimum support parameter of 0.1 and confidence of 0.6. The data used are binary transaction data indicating whether certain product categories were purchased or not, such as book accessories, stationery, children’s books, fiction books, magazines, and novels. The analysis process was carried out through several stages, including data preprocessing, transforming the data into transaction format, and applying association methods to discover relationships among products that are often bought together. The results show that certain product combinations have a strong tendency to be purchased together, so they can be used as a basis for sales strategies, product arrangement, and more effective promotions. Thus, the use of RapidMiner in processing transaction data can help generate useful information for decision-making in the sales field.
Klasifikasi Tingkat Hutang Perusahaan Menggunakan Algoritma C4.5 Berdasarkan Data Keuangan Perusahaan Muhammad Ali Ridha; Shefia Nur Arifin; Anak Agung Indah Parwati
Jurnal Riset Sistem Informasi Vol. 3 No. 4 (2026): Oktober: Jurnal Riset Sistem Informasi
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/1w3y9w65

Abstract

Effective debt management is essential for maintaining corporate financial stability. This study applies the C4.5 algorithm to classify debt levels using financial data. The model was developed in RapidMiner using a Decision Tree and evaluated through Cross Validation. The results show that the Debt to Equity Ratio (D/E Ratio) is the most influential attribute, with an accuracy of 95.95%. Therefore, the C4.5 algorithm is effective for classifying corporate debt levels and supporting financial decision-making.
Analisis Prediksi Kunjungan Bandara Adi Soemarmo Menggunakan Metode Time Series Berbasis Neural Network Siti Zakiyatul Lailiyah; Wafiqotul Kamila; Muhammad Ali Ridla
Jurnal Riset Sistem Informasi Vol. 3 No. 4 (2026): Oktober: Jurnal Riset Sistem Informasi
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/hxpgfz39

Abstract

The increasing number of visitors at the airport requires effective operational planning to maintain service quality and efficient use of resources.. therefore, a forecasting method is needed that can accurately estimate the number of visitors in the coming period. This study aims to analyze and predict the number of visitors at Adi Soemarmo Airport using a Neural Network-based Time Series method. The data used in this study consist of historical data on airport visitor numbers collected periodically over a spesific time range. The research process includes data collection, data preprocessing splitting the data into training and testing sets, building the Neural Network model, and evaluating the prediction results. The Neural Network method was chosen because it has the ability to recognize patterns and nonlinear relationships present in time series data. Model performance was evaluated using error metrics such as Mean Square Error (MAE) and Root Mean Square Error (RMSE). The results of the study show that Neural Network model is capable of predicting the number of visitors with a high degree of accuracy and can track pattens of change in historical data. Thus, the proposed model can be used as a tool to support decision-making related to operational planning, facility management, and service improvement at Adi Soemarmo Airport. This study also shows that a time series approach based on Neural Network has good potential for predicting the number of visitors in the air transportation sector.
Perancangan Sistem Informasi Pemesanan Wisma Berbasis Web pada PT Pupuk Sriwidjaja Palembang Ramdan Eka Saputra; Fathiyah Nopriani
Jurnal Riset Sistem Informasi Vol. 3 No. 4 (2026): Oktober: Jurnal Riset Sistem Informasi
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/6zghhr56

Abstract

The development of information technology encourages companies to improve administrative service efficiency through digital systems. PT Pupuk Sriwidjaja Palembang, especially in the Facilities and General Department, still faces obstacles in the hostel reservation process which is carried out manually, causing data recording to be less effective and potentially causing administrative errors. This study aims to design a web-based hostel reservation information system that can assist the reservation and data management process in a structured manner. The research method used is a descriptive method with observation and interview approaches during the internship activities. The system development process was carried out using the Laravel framework with system design including requirements analysis, interface design, and implementation of login, reservation, and administrative dashboard features. The results showed that the designed information system was able to help the hostel reservation management process become more effective, organized, and easily accessible for users and administrators. In addition, the system also supports faster administrative processes and minimizes the risk of reservation data loss. With this system, the management process of hostel facilities at PT Pupuk Sriwidjaja Palembang is expected to run more optimally and efficiently.
Penerapan Metode Prophet untuk Prediksi Jumlah Produksi sebagai Pendukung Perencanaan Produksi Berbasis Web dashboard pada PT Asaputex Jaya Kota Tegal Mufida Anggradita; R. Bangkit Indramawan N; Nugroho Adhi Santoso
Jurnal Riset Sistem Informasi Vol. 3 No. 4 (2026): Oktober: Jurnal Riset Sistem Informasi
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/s5h8x488

Abstract

Inaccurate production planning can lead to overproduction or underproduction, negatively affecting a company's operational efficiency. This study aims to apply the Prophet method to predict monthly production quantities and to develop a web dashboard as a medium for presenting the prediction results at PT. Asaputex Jaya, Tegal City. This study contributes to the development of decision support systems in the manufacturing sector by integrating Prophet-based predictions into an interactive web dashboard. Prophet was selected for its ability to handle time series data with seasonal patterns and trends. The model was evaluated using MAE, RMSE, and MAPE. The results show that Prophet was successfully implemented with an MAE of 94 units, RMSE of 116 units, and MAPE of 2.01%, which falls into the highly accurate category. Analysis of production patterns from 2021 to 2025 shows that the production peak shifted from May to March, while the lowest point varied between February and June, with the 2026 prediction estimating a peak in March and the lowest point in June. The web dashboard system was successfully developed using React.js, FastAPI, and PostgreSQL, presenting the prediction results in the form of charts, tables, and reports, with all features functioning without errors based on Black Box Testing. This study demonstrates that Prophet is suitable for seasonally patterned production data, and its integration into a web dashboard supports data-driven production planning.
Rancang Bangun Sistem Pemesanan Tiket Online Berbasis Web dengan Framework Laravel untuk Meningkatkan Efisiensi Layanan: (Studi Kasus : Keraton Kasepuhan Cirebon) Louisa Anastasya Hermawan; M Ferdi Robyanto; Ridho Taufiq Subagio
Jurnal Riset Sistem Informasi Vol. 3 No. 4 (2026): Oktober: Jurnal Riset Sistem Informasi
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/wte7cz18

Abstract

Keraton Kasepuhan Cirebon is one of the primary cultural and historical tourism destinations in Cirebon City. However, the manual ticketing and management system often causes long queues at the ticket counter, limited access to information, as well as potential errors in transaction recording and report generation. This study aims to design and develop an integrated web-based online ticketing system to improve operational efficiency and service quality for visitors. The system was developed using the System Development Life Cycle (SDLC) methodology with the Waterfall model. Built upon the Laravel framework, the application utilizes PHP programming language and MySQL database, modeled using Unified Modeling Language (UML). Core features include user registration and login, online ticket reservation, payment via static QRIS with payment proof upload, order history, e-ticket issuance embedded with QR Codes, payment verification, and an on-site QR Code scanning feature for administrators. System testing results using the Black Box Testing method demonstrate that all application functions and features operate as expected. The implementation of this system enables more structured, transparent, and efficient ticketing transaction management while providing convenient and comfortable information access for tourists.
Implementasi Sistem Informasi Pendaftaran dan Upload Hasil Karya Event Terpadu pada Bee Creative Event Organizer Nur Hidayah; Nugroho Adhi Santoso; Bayu Aji Santoso
Jurnal Riset Sistem Informasi Vol. 3 No. 4 (2026): Oktober: Jurnal Riset Sistem Informasi
Publisher : CV. Denasya Smart Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69714/zgy69m11

Abstract

This research focuses on developing and implementing an integrated, web-based information system for event registration and submission of entries at Bee Creative Event Organizer, serving as an alternative to the previous manual process that relied on WhatsApp. The system was developed using the waterfall approach, encompassing the stages of requirements analysis, design, implementation, testing, and maintenance. It was built using the PHP programming language with the Laravel 10 framework and a MySQL database. Four user roles are defined within the system: the public (with limited access to view event information); participants (who can register, upload  entries, and monitor registration status via a participant dashboard); administrators (with full access to manage event data, registrations, winners, the gallery, and homepage content); and management (who can view event revenue charts). The system also features a Chatbot and WhatsApp integration to facilitate communication with participants. This research contributes by integrating event registration and entry management processes, which had previously not been combined into a single system, while also supporting both online and offline events on one unified platform. The results demonstrate that the system successfully integrates event registration, entry submissions, and participant management into a unified platform. Black-box testing conducted on 107 test cases across four primary roles yielded a 100% success rate, indicating that the system is highly reliable. The system simplifies the process for participants to register and upload  entries directly via the Website while enabling administrators to manage data in a structured and efficient manner.

Page 15 of 16 | Total Record : 151

 12   13   14   15   16 

Filter by Year

2024 2026


Reset
Filter By Issues
All Issue Vol. 3 No. 4 (2026): Oktober: Jurnal Riset Sistem Informasi Vol. 3 No. 3 (2026): Juli : Jurnal Riset Sistem Informasi Vol. 3 No. 2 (2026): April : Jurnal Riset Sistem Informasi Vol. 3 No. 1 (2026): Januari : Jurnal Riset Sistem Informasi Vol. 2 No. 4 (2025): Oktober : Jurnal Riset Sistem Informasi Vol. 2 No. 3 (2025): Juli : Jurnal Riset Sistem Informasi Vol. 2 No. 2 (2025): April : Jurnal Riset Sistem Informasi Vol. 2 No. 1 (2025): Januari : Jurnal Riset Sistem Informasi Vol. 1 No. 4 (2024): Oktober : Jurnal Riset Sistem Informasi Vol. 1 No. 3 (2024): Juli : Jurnal Riset Sistem Informasi Vol. 1 No. 2 (2024): April : Jurnal Riset Sistem Informasi Vol. 1 No. 1 (2024): Januari : Jurnal Riset Sistem Informasi More Issue