JUPIK : Jurnal Penelitian Ilmu komputer

IMPLEMENTASI SISTEM INFORMASI GEOGRAFIS (SIG) PADA MANAJEMEN RUTE PENGIRIMAN BARANG

2025-08-18T14:28:00+07:00

The implementation of Geographic Information System (GIS) has great potential to enhance the management of delivery routes for goods by providing a streamlined and efficient system. GIS allows real-time route visualization, accurate distance calculation, and route optimization using advanced algorithms such as Dijkstra's Algorithm. These capabilities help reduce delivery time, transportation costs, and operational inefficiencies. Despite these benefits, many logistics companies have not maximized the utilization of GIS technology. This leads to longer delivery times, higher transportation costs and centralized management. This study aims to design and implement a GIS-based system for managing delivery routes, focusing on route optimization, real-time monitoring, and centralized data management. The system integrates web and Android platforms, providing real-time tracking through GPS to ensure the timely and safe delivery of goods. The findings are expected to benefit researchers by contributing to the understanding of GIS applications and Dijkstra's Algorithm in logistics. For companies, the implementation of this system could optimize delivery routes, reduce costs, and improve customer satisfaction. Additionally, it provides a valuable reference for future research and development in the logistics sector

PREDIKSI HARGA EMAS UNTUK PENGAMBILAN KEPUTUSAN INVESTASI MENGGUNAKAN ALGORITMA CART (CLASSIFICATION AND REGRESSION TREE)

2025-08-08T09:30:35+07:00

The dynamic fluctuations in gold prices, influenced by various global economic factors, make gold price prediction an important topic in finance and investment. This study aims to analyze and predict gold prices using the Classification and Regression Tree (CART) algorithm, which is a decision tree–based machine learning method. Historical gold price data from 2013 to 2023 were used as training data, while data from 2024 to 2025 were used for testing. The research process includes preprocessing, data splitting, CART model construction, and performance evaluation using metrics such as Mean Squared Error (MSE), Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), and R-squared (R²). The results indicate that the CART model is capable of providing reasonably accurate and effective predictions of gold prices, making it a viable tool for investment decision-making. With its simplicity and interpretability, CART helps uncover patterns in gold price data and offers valuable estimates for investors and market participants.

IMPLEMENTASI LOGIKA FUZZY METODE MAMDANI BERBASIS WEB UNTUK MENDETEKSI PENYAKIT DIABETES (STUDI KASUS PUSKESMAS)

2025-09-06T10:09:38+07:00

700 million cases by 2045. In Indonesia, diabetes patients are estimated to increase from 10.8 million in 2020 to 16.7 million by 2045. This research develops an early diabetes detection system using Mamdani fuzzy logic method through a web-based platform to support early screening at Community Health Centers.The system analyzes medical parameters including blood glucose levels, blood pressure, body mass index (BMI), and family history using Python with Django framework and SQLite3 database. Testing was conducted through black box testing for system functionality and white box testing for internal code structure analysis. User acceptance evaluation used Likert scale questionnaires with 20 respondents.Results demonstrate the system effectively analyzes health parameters and provides diabetes risk level diagnosis resembling medical decision-making patterns. Functionality testing shows all features operate according to specifications. User evaluation achieved 69.3% score in "Agree" category, indicating the system can assist medical personnel in early diabetes screening at Community Health Centers with good accuracy and user-friendly interface.
Keywords: Diabetes, Fuzzy Logic, Mamdani Method, Early Detection, Health Information System

PREDIKSI HARGA MINYAK KELAPA SAWIT MENTAH (CRUDE PALM OIL) MENGGUNAKAN METODE DECISION TREE

2025-07-22T12:59:52+07:00

Crude palm oil (CPO) is one of Indonesia's main export commodities that has high economic value, but its price is very volatile due to various factors such as global market conditions, climate, and political policies. This research aims to build a CPO price prediction model using the Classification and Regression Tree (CART) algorithm, a form of Decision Tree method known for its ease of interpretation and high accuracy. The data used is historical CPO price data obtained from the Investing.com website within the last 10 years. In the process, the data is divided into training and testing data. The model is evaluated using metrics such as MAE (Mean Absolute Error), RMSE (Root Mean Square Error), and R² (R-Square). The results showed that the Decision Tree method with the CART algorithm was able to provide an accuracy of 93.101%, with an R² value of 0.937, RMSE of 0.062, and MAE of 0.046. This proves that the CART algorithm is suitable for predicting CPO prices and can be a decision-making tool for industry players.

PERANCANGAN SISTEM INFORMASI MUSHOLLA BERBASIS WEBSITE MENGGUNAKAN METODE EXTREME PROGRAMMING (STUDI KASUS MUSHOLLA FATHUL INSANI)

2025-08-29T11:11:04+07:00

The advancement of information technology encourages various institutions, including places of worship, to adopt digital systems for more effective communication and information management. Musholla Fathul Insani previously did not have a web-based information system to support structured dissemination of information. This study aims to design and develop a website-based information system for Musholla Fathul Insani using the Extreme Programming development methodology, which emphasizes collaboration, rapid iterations, and responsiveness to changing user needs. The main features developed in this system include displaying musholla activity information, enabling online donation submissions, and providing a channel for sending feedback and suggestions from the community. The results show that the system improves communication between the musholla administrators and congregants, and facilitates digital participation and information management. This website is expected to serve as a useful and sustainable information medium for Musholla Fathul Insani.

PENERAPAN ALGORITMA GENETIKA UNTUK PENJADWALAN MENGAJAR GURU (STUDI KASUS: SD NEGERI KUNCIRAN 7)

2025-07-16T13:44:57+07:00

Teacher scheduling in schools often faces various challenges that can disrupt the learning process. One of the main issues is the occurrence of schedule conflicts, especially when a teacher is assigned to teach multiple classes. At SD Negeri Kunciran 7, scheduling is still done using Microsoft Excel, which is time-consuming and prone to errors. To address this problem, this study implements a web-based scheduling system using the Genetic Algorithm. The Genetic Algorithm is chosen due to its ability to solve optimization problems involving multiple variables and constraints, such as the number of teachers, classes, subjects, and limited time slots. Through stages such as initial population generation, fitness evaluation, selection, crossover, and mutation, the system is able to produce optimal teaching schedules, minimize conflicts, and accelerate scheduling. The testing results show that this algorithm can be effectively used to support efficient and accurate scheduling.

ANALISIS KINERJA TEKNOLOGI DALAM JARINGAN LOCAL AREA NETWORK UNTUK MELAKUKAN SHARING DATA DENGAN PENDEKATAN GRAPH THEORY (STUDI KASUS PT MITRA JALA ARTA)

2025-08-19T16:20:39+07:00

This Local Area Network network research is a communication model that allows each node in the network to function as a client and server simultaneously. The LAN network uses graph theory to increase communication efficiency and data distribution. By modeling this LAN network as a graph, where nodes represent peers and edges describe relationships between peers (nodes), we can analyze the structure and dynamics of interactions in the network. This method allows evaluating important metrics such as degree, shortest path, and connection reliability. This method allows identifying interaction patterns and optimizing data distribution flows, which in turn can improve network efficiency and reliability. The analysis results show that the use of graph algorithms can improve LAN network performance in terms of latency and throughput, as well as provide new insights in the development of more efficient LAN protocols. It is hoped that this research will be able to make a significant contribution to the development of decentralized network technology in the future

PENGEMBANGAN SISTEM MANAJEMEN SURAT TERINTEGRASI DENGAN WORKFLOW DAN TANDA TANGAN DIGITAL UNTUK MENINGKATKAN EFISIENSI DALAM PROSES ADMINISTRASI DI SMK PERWIRA BANGSA

2025-07-08T17:03:44+07:00

Mail management is an essential part of administrative activities in educational institutions. However, at SMK Perwira Bangsa, the correspondence process is still handled manually, leading to several issues such as delayed distribution, filing errors, and high risks to document security. To address these problems, this research developed a web-based mail management system integrated with workflow automation and digital signatures using OpenSSL. The workflow automates the entire correspondence process, from document creation to distribution, while the digital signature ensures document authenticity and integrity through cryptographic technology. The system was developed using the waterfall methodology, covering stages of requirement analysis, system design, implementation, and testing through black-box testing. Test results showed that the system successfully improved administrative efficiency by accelerating letter distribution, reducing document management errors, and enhancing document security through digital signature validation. Additionally, the system includes a real-time document tracking feature to support transparency and administrative monitoring. The use of OpenSSL provides strong security guarantees for document authentication. This system is expected to serve as an effective digital solution for document management in educational institutions and can be adapted by other schools.

Evaluasi Layanan Teknologi Informasi Menggunakan Kerangka Kerja ITIL V.3

2025-08-16T13:47:00+07:00

This study evaluates the Information Technology (IT) services at PT Triputra Sejahtera using the ITIL v3 framework in the Service Operation domain, specifically Service Desk and Incident Management. The background of the research is the high ticket load (±500 tickets/month in 2017 and an upward trend from 2013 to 2016 from ~4,000 to ~6,000 tickets/year) and the absence of formal ITSM standards—operations still rely on internal SOPs for “Problem Monitoring.” This caused operational disruptions and necessitated improvements in service governance.

The research objective was to measure the level of maturity and compliance with ITIL v3 and formulate recommendations for improvement. The methodology uses the TIPA approach (definition, preparation, assessment, analysis stages), with data collection through observation, the ITIL Service Support Self-Assessment questionnaire and the ITIL Maturity Model (Rudd & Sansbury, 2013), as well as interviews; data processing follows the ITIL v3 guidelines.

The results show that the Service Desk passed Levels 1–3.5 but failed at Level 4 (Management Information) and Level 5 (User Interface); overall maturity stopped at Level 3.5 with a Standard Comply status.

Incident Management also passed Levels 1–3.5; Level 4 failed, Level 4.5 (External Integration) achieved 3M+3, but Level 5 (Customer/User Interface) was not met (score 0); aggregate maturity stopped at Level 3.5 with Standard Comply.

Key recommendations include: strengthening service performance information management (reporting/monitoring), implementing systematic user satisfaction measurement, refining SLA/OLA/UC, improving the known error database and escalation workflow, and integrating cross-functional processes in accordance with ITIL v3 practices.

Keywords: ITIL v3, Service Operation, Service Desk, Incident Management, TIPA, maturity, compliance.

PENGEMBANGAN SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN KARYAWAN BERPRESTASI MENGGUNAKAN METODE ADDITIVE RATIO ASSESSMENT (ARAS) STUDI KASUS : PT BINTANG MARAGA LINTAS MEDIA

2025-08-06T16:45:56+07:00

Employees are a vital element in supporting the operations of PT. Bintang Maraga Lintas Media, especially technicians who are directly involved in fieldwork. The company provides monthly bonuses to outstanding employees; however, the evaluation process remains subjective, relying solely on the supervisor's opinion based on attendance and overtime, without considering other aspects such as completed work orders, loyalty, responsibility, and discipline. To address this issue, this study aims to develop a Decision Support System (DSS) based on the Additive Ratio Assessment (ARAS) method to assist in evaluating employees objectively, measurably, and transparently. ARAS is chosen for its ability to perform multi-criteria evaluations logically, taking into account the weight and type of each criterion in a balanced manner. The results of this research show that the developed system can effectively manage employee assessment data and generate accurate rankings of outstanding employees, thereby supporting a fairer evaluation process and encouraging increased motivation and performance among employees.

Rancang Sistem Presensi Guru dan Siswa Di SMKS Ibrahimy Situbondo Menggunakan Finger Print

2025-08-28T09:07:58+07:00

The rapid development of information technology encourages educational institutions to adopt digital systems to improve the effectiveness and efficiency of administrative management, including teacher and staff attendance. This study aims to design and implement an automated attendance system based on fingerprint biometrics at SMKS Ibrahimy Situbondo. The research employed the Research and Development (R&D) method with an applied research approach, consisting of literature study, observation, interviews, system design using the waterfall model, and testing through black box testing. The research subjects included teachers and administrative staff as the main system users. The results show that the fingerprint-based attendance system improved efficiency by reducing attendance recording time by up to 80%, increased data accuracy to 98%, and reduced the time required for attendance recap from 2–3 hours to less than 10 minutes. Moreover, the system positively impacted teacher discipline, as tardiness and absenteeism were automatically recorded and could not be manipulated. In conclusion, the fingerprint-based biometric attendance system proved effective as an alternative to manual methods and can be further developed through integration with academic information systems and digital notifications.

Prediksi harga mobil bekas menggunakan algoritma K-Nearest neighbor

2025-07-21T14:04:49+07:00

The used car market in Indonesia has shown significant growth, as people's need for more economically priced vehicles increases. However, inconsistent price variations often make it difficult for consumers to determine the fair value of a used car. This research aims to build a used car price prediction model using the K-Nearest neighbor (KNN) algorithm.

The dataset used amounts to 1,079 used car data with selected variables that affect the price of cars such as toyota, honda, mitsubishi brands taken from the oto.com website with data scraping techniques using octoparse, with features such as brand, model, kilometer, location, transmission, type, year, engine size and price.

This research follows the CRISP-DM approach which includes the stages of business understanding, data understanding, data preparation, modeling, and evaluation. Model evaluation is performed using three metrics, namely Mean Absolute Error (MAE), Mean Squared Error (MSE), and Root Mean Squared Error (RMSE). by finding the best K value based on the division of 80% testing & test datasets. The results show that the KNN algorithm is able. to predict used car prices with a relatively low error rate. This model is expected to help consumers and automotive industry players in estimating used car market prices more accurately and data-based.

PENGEMBANGAN SISTEM PENDUKUNG KEPUTUSAN PENERIMA BEASISWA UNGGULAN DI SMK PRIMA UNGGUL MENGGUNAKAN METODE VIKOR DENGAN PERTIMBANGAN FAKTOR AKADEMIK, EKONOMI, DAN POTENSI

2025-08-23T00:00:49+07:00

This study develops a web-based decision support system for scholarship selection at the vocational high school level using the VIKOR method, a Multi-Criteria Decision Making (MCDM) approach focused on compromise solutions. The system evaluates three key criteria: academic performance, economic condition, and student potential. Developed with Laravel PHP framework and MySQL using the Rapid Application Development (RAD) model, the system enables quick prototyping and user-centered adaptation. It integrates essential DSS components—Database, decision model, and User Interface—to support a more transparent, fair, and accountable selection process. Results indicate that alternative A24 consistently ranks first based on Qi, Si, and Ri scores, meeting the Acceptable Stability in Decision Making under varying v values: Voting by Majority Rule (v = 0.7), By Consensus (v = 0.5), and With Veto (v = 0.3).

IMPLEMENTASI APLIKASI PENILAIAN SISWA EKSTRAKURIKULER PRAMUKA TERBAIK BERBASIS ANDROID MOBILE DENGAN METODE SMART PADA SD RAWABUNTU 3

2025-07-08T15:16:29+07:00

The rapid development of technology has brought major changes in everyday life, including in the assessment process. Manual assessment with a large amount of data has a high risk of calculation errors, while there are still many other determining factors that can be considered in selecting the best scout extracurricular students.

To overcome this, researchers want to develop an android-based system that implements a Decision Support System (DSS) with the SMART (Simple Multi Attribute Rating Technique) method to provide a more structured and objective assessment, so that it can help teachers in conducting transparent assessments. The research methods used include interviews with scout teachers at SD Bawabuntu 3, field observations to understand system needs and literature studies to collect data.

The results of the study indicate that the application created can help facilitate teachers in assessing scout extracurricular students at SD Rawabuntu 3. The results of the analysis show that the system developed received a positive response from users, with the results of the Likert scale calculation of 82% indicating a high level of satisfaction with the assessment application, from 30 respondents.