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INDONESIA
Jurnal Penelitian Ilmu komputer
Published by PT Triputra Sejahtera Prima
ISSN : 29861543     EISSN : 2986030X     DOI : https://doi.org/10.5281/zenodo.7720440
Core Subject : Science,
Computer Science & IT
JUPIK: Jurnal Penelitian Ilmu komputer adalah jurnal ilmiah penelitian yang diterbitkan secara berkala yaitu 4 kali dalam setahun (Maret, Juni, September dan Desember) yang bertujuan untuk menyebarluaskan berbagai jenis hasil riset di bidang Ilmu Komputer kepada publik. Saat ini JUPIK menerima kiriman artikel hasil riset di bidang ilmu komputer yang ditulis dalam Bahasa Indonesia . Adapun bidang keilmuan yang menjadi fokus di dalam JUPIK antara lain: Information System, Management Information Systems, Project Management Systems, Supply Chain Management System, Customer Relationship Management, Artificial Intelligence, Machine Learning, Game, Business Intelligence & Data Visualitation, Software Engineering & Software Re-Engineering, Data Management, Data Mining, User Interface (UI) & User Experience (UX), Mobile & Web Technology Multimedia System & Computer Network, Cloud Computing, Internet Of Things. Penentuan artikel yang dimuat dalam JUPIK akan melalui proses double blind review oleh JUPIK, dengan mempertimbangkan antara lain: terpenuhinya persyaratan baku publikasi jurnal, metodologi riset yang digunakan, dan signifikansi kontribusi hasil riset terhadap pengembangan keilmuan bidang ilmu komputer. Editor bertanggung jawab untuk memberikan telaah konstruktif, dan jika dipandang perlu menyampaikan hasil evaluasi kepada penulis artikel.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 90 Documents
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IMPLEMENTASI KRIPTOGRAFI DENGAN ALGORITME ADVANCED ENCRYPTION STANDARD (AES-128) UNTUK PENGAMANAN FILE SOAL BERBASIS WEB PADA SMP GUNUNG JATI KOTA TANGERANG Muhammad Arrafiqal Maryo; Bambang Wisnu Widagdo
JUPIK : Jurnal Penelitian Ilmu komputer Vol. 3 No. 2 (2025): JUNI
Publisher : PT Triputra Sejahtera Prima

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Abstract

Documents are one type of data file that is very important because it functions as a source of information needed by agencies or companies. In this ever-growing digital era, maintaining data confidentiality is very crucial for various agencies, one of which is the Education Agency. Gunung Jati Junior High School (JHS) in Tangerang City has implemented a computer-based examination system (USBK) since 2014. Although this system offers efficiency and convenience, the main problem faced is the weak security system for storing exam question files. This condition creates a significant risk, where important information can be stolen or manipulated, allowing for the leakage of exam questions which negatively impacts the integrity of the exam as well as student fairness. Therefore, in overcoming these problems the author plans to develop a cryptography-based web application by applying the AES-128 algorithm. This research aims to create a web-based application that can protect data by implementing the Advanced Encryption Standard (AES-128) algorithm method into the application to secure the file and provide a more interactive and in-depth learning experience for students through securing school exam data. The results showed that the application of AES-128 as an encryption method has proven effective in increasing the security of question files at Gunung Jati Junior High School and making it the right choice to protect sensitive data. Keywords: Advanced encryption standard (AES-128), data security, encryption, file security, information security.
IMPLEMENTASI SISTEM PENDUKUNG KEPUTUSAN UNTUK PENILAIAN KINERJA KARYAWAN MENGGUNAKAN METODE HYBRID SAW DAN AHP BERBASIS WEB Rizky, Ahmad; Ariadi, Fadly
JUPIK : Jurnal Penelitian Ilmu komputer Vol. 3 No. 2 (2025): JUNI
Publisher : PT Triputra Sejahtera Prima

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Abstract

In the era of globalization and increasingly tight business competition, objective and measurable employee performance assessments are an important need for companies, including Toko Ady Alam Accessories, which is engaged in the retail accessories sector. Manual performance assessments cause various obstacles such as subjectivity, lack of transparency, and the absence of clear criteria. This study aims to design and implement a web-based Decision Support System (DSS) using the Hybrid AHP (Analytical Hierarchy Process) and SAW (Simple Additive Weighting) methods. The development method used is Waterfall, with data collection techniques through observation, interviews, and literature studies. The results of this study The implementation of a web-based system for assessing employee performance using the Hybrid SAW and AHP methods is able to accelerate the employee evaluation process objectively and systematically. The designed computerized system has succeeded in increasing the efficiency of employee data management at Toko Ady Alam Accessories by providing automation features that facilitate input, updating, and monitoring data in real-time, thus reducing dependence on manual processes.
Administrasi surat-menyurat merupakan elemen penting dalam operasional institusi pendidikan. Di SMK Perwira Bangsa, proses surat-menyurat masih dilakukan secara manual sehingga menyebabkan keterlambatan distribusi, kesalahan pengarsipan, dan risiko keaman Ripal, Muhammad Riski; Meidy Fajar Wahyu
JUPIK : Jurnal Penelitian Ilmu komputer Vol. 3 No. 3 (2025): September
Publisher : PT Triputra Sejahtera Prima

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Abstract

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.
IMPLEMENTASI APLIKASI PENILAIAN SISWA EKSTRAKURIKULER PRAMUKA TERBAIK BERBASIS ANDROID MOBILE DENGAN METODE SMART PADA SD RAWABUNTU 3 Bambang Wisnu Widagdo, Aldi Mahendra Prassetya
JUPIK : Jurnal Penelitian Ilmu komputer Vol. 3 No. 3 (2025): September
Publisher : PT Triputra Sejahtera Prima

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Abstract

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.
Penerapan Algoritma Genetika Untuk Penjadwalan Mengajar Guru (Studi Kasus: SD Negeri Kunciran 7) Binsar
JUPIK : Jurnal Penelitian Ilmu komputer Vol. 3 No. 3 (2025): September
Publisher : PT Triputra Sejahtera Prima

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Abstract

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.
Prediksi harga mobil bekas menggunakan algoritma K-Nearest neighbor Samsoni S.kom., M.kom, Hadi imanuel
JUPIK : Jurnal Penelitian Ilmu komputer Vol. 3 No. 3 (2025): September
Publisher : PT Triputra Sejahtera Prima

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Abstract

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.  
PREDIKSI HARGA MINYAK KELAPA SAWIT MENTAH (CRUDE PALM OIL) MENGGUNAKAN METODE DECISION TREE : CRUDE PALM OIL PRICE PREDICTION USING DECISION TREE METHOD Samsoni S.kom., M.kom, Didi Ciswanto
JUPIK : Jurnal Penelitian Ilmu komputer Vol. 3 No. 3 (2025): September
Publisher : PT Triputra Sejahtera Prima

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Abstract

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.
PENGEMBANGAN SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN KARYAWAN BERPRESTASI MENGGUNAKAN METODE ADDITIVE RATIO ASSESSMENT (ARAS) STUDI KASUS : PT BINTANG MARAGA LINTAS MEDIA Mochamad Adhari Adiguna, Khoeroni Firdaus
JUPIK : Jurnal Penelitian Ilmu komputer Vol. 3 No. 3 (2025): September
Publisher : PT Triputra Sejahtera Prima

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Abstract

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.
PREDIKSI HARGA EMAS UNTUK PENGAMBILAN KEPUTUSAN INVESTASI MENGGUNAKAN ALGORITMA CART (CLASSIFICATION AND REGRESSION TREE) Ardiansyah, Arie; Sri Mulyati
JUPIK : Jurnal Penelitian Ilmu komputer Vol. 3 No. 3 (2025): September
Publisher : PT Triputra Sejahtera Prima

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Abstract

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.
IT Evaluasi Layanan Teknologi Informasi Menggunakan Kerangka Kerja ITIL V.3: Evaluasi Layanan Teknologi Informasi Menggunakan Kerangka Kerja ITIL V.3 muhammad anis
JUPIK : Jurnal Penelitian Ilmu komputer Vol. 3 No. 3 (2025): September
Publisher : PT Triputra Sejahtera Prima

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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.

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