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PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic
Published by Universitas Islam 45 Bekasi
ISSN : 23033304     EISSN : 26203553     DOI : https://doi.org/10.33558/piksel
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
Jurnal PIKSEL diterbitkan oleh Universitas Islam 45 Bekasi untuk mewadahi hasil penelitian di bidang komputer dan informatika. Jurnal ini pertama kali diterbitkan pada tahun 2013 dengan masa terbit 2 kali dalam setahun yaitu pada bulan Januari dan September. Mulai tahun 2014, Jurnal PIKSEL mengalami perubahan masa terbit yaitu setiap bulan Maret dan September namun tetap open access tanpa biaya publikasi. p-ISSN: 2303-3304, e-ISSN: 2620-3553. Available Online Since 2018.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 304 Documents
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Sentiment Analysis of Application Reviews using the K-Nearest Neighbors (KNN) Algorithm Wijati, Damar; Atika, Prima Dina; Setiawati, Siti; Rasim, Rasim
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 1 (2024): March 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i1.9490

Abstract

Product reviews play a crucial role in evaluating user satisfaction and overall performance. Vidio, one of the over-the-top (OTT) media platforms, offers a wide range of entertainment content, including movies, TV shows, sports events, music shows, lifestyle programs, and more, accessible through its application. Users have the opportunity to provide reviews and feedback on their experience with the Vidio application. Therefore, this research was conducted to analyze user sentiment towards the Vidio application on the Google Play Store platform using the K-Nearest Neighbors (KNN) method. Data for sentiment analysis were randomly selected from the Vidio application based on the most relevant reviews. A total of 3,000 data were analyzed, with 2,238 data in the negative class, 508 data in the neutral class, and 254 data in the positive class. This research used the K-Nearest Neighbors (KNN) method for classifying reviews based on negative, neutral, and positive classes, and the Multiclass Confusion Matrix for model evaluation. With a data split of 70% for training data 30% for testing data, and several n_neighbors of 10 data, the results in an accuracy of 81.6%, precision of 79%, recall of 81.6%, and F1-Score of 77%.
Enhancing Human Capital Management through DevOps Practices Suharminto, Bayu Dwi; Wijaya, Alek; Sutabri, Tata; Syazili, Ahmad
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 2 (2024): September 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i2.9520

Abstract

In the current era of digital revolution, one of the main factors influencing an organization's performance is human resources. This is because HR is an important asset that determines the productivity and efficiency of organizational performance. This study's goal is to create and construct an integrated human resources application using the DevOps (Development and Operations) approach. The DevOps method is a collabo rative approach that combines the process of software development and operations in a sustainable, fast, and integrated manner. The human resources application developed in this research includes various important functions, including HR management, job grade promotion planning, employment contract termination notification, and promotion notification. This research also provides solutions to the problems experienced by the Palembang Region Office of PT Bank Rakyat Indonesia in human resource management. By using the DevOps method as a method of designing human capital applications, it is expected to increase employee efficiency and productivity through integrated and effective human resource management. The DevOps approach also allows organizations to respond quickly to changing needs and provide sustainable added value to the organization.
Classification of Social Assistance Recipients Using Machine Learning Putri, Cyndi Oktora; Efendi, Dwi Marisa; Rustam, Rustam
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 2 (2024): September 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i2.9550

Abstract

Social assistance is assistance funds provided by local governments. In the Minister of Home Affairs Regulation No. 32 of 2011, it is explained that social assistance is the provision of assistance in the form of money/goods from local governments to individuals, families, groups, and communities which is not continuous and selective in nature. One of the villages in North Lampung still often experiences problems, including high poverty rates and low education levels. The Naive Bayes algorithm method was chosen to classify aid recipients based on employment, age, and income. The spreadsheet calculations show that the Family Hope Program Assistance (PKH) class is 135 people and the Direct Cash Assistance (BLT) class is 39 people with a total of 176 people in the social assistance recipient data. From the results of Rapid Miner calculations, the accuracy value for the PKH and BLT classes is 100.00%.
Eligibility Recipients Determination of El-Nino Direct Cash Aid Using C4.5 Algorithm Putri, Dini Elldrica; Efendi, Dwi Marisa; Aminah, Siti
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 2 (2024): September 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i2.9551

Abstract

The El Nino phenomenon, which causes increased temperatures and prolonged drought, is predicted to continue to hit Indonesia until the end of 2023. The significant impacts of El Nino include reducing the productivity of agricultural products, including food crops such as rice. This condition will certainly greatly affect the stability of domestic food prices. A total of 420 people from Bernah Village, Kota Alam Subdistrict received it. In the selection process for BLT El Nino recipients in Bernah Village, problems often occur such as problems in identifying aid recipients. This creates a society where aid recipients are still relatively well-off. By applying the C4.5 Algorithm, the C4.5 Calculation can determine feasibility thereby increasing efficiency in determining El Nino Direct Cash Assistance receipts. Calculations using Microsoft Excel 2010 revealed that there were 252 eligible recipients while 168 were not eligible. And from the calculation results using Rapid Miner 10.1. It is known that the accuracy rate is 100.00% with a total of 420 people receiving aid data.
Ship Trajectory Extraction Using Python Vessel Tracking Interpolation Method Setiawan, Widyadi; Linawati, Linawati; Widyantara, I Made Oka; Wiharta, Dewa Made; Asri, Sri Andriati
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 2 (2024): September 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i2.9567

Abstract

A deep understanding of ship trajectory movements has essential implications for maritime applications, including navigation, monitoring, and marine traffic analysis. Efficient and accurate extraction techniques are necessary to extract valuable information from ship trajectory data. One commonly used approach is the interpolation method, which allows the reconstruction of smooth trajectories from recorded data points. This research is focused on analyzing the extraction of ship trajectories using the interpolation method provided by the Python Vessel Tracking (PyVT) library. This method allows interpolation of ship trajectory data based on various algorithms available in the library. This research aims to evaluate the effectiveness and accuracy of interpolation methods from PyVT in reconstructing ship trajectories from incomplete or disturbed data. Within this research's framework, several test scenarios were implemented to examine different types of ship trajectory data, including data with missing points and speed variations. Evaluation metrics RMSE (root mean Squared Error), which includes reconstruction accuracy, will be utilized from the interpolation algorithm in PyVT.
Recommendation for Self-Help Housing Stimulus Assistance (BSPS) Recipient Using Multi-Criteria Decision Making Methods Mario, Deka; Lestari, Sri
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 2 (2024): September 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i2.9584

Abstract

The Housing and Settlement Area Office aims to improve the accuracy and efficiency of selecting beneficiaries for the Self-Help Housing Assistance (BSPS) program by using the Weighted Product (WP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. This study was conducted in Sungkai Tengah Subdistrict, North Lampung, involving six criteria: land ownership, employment, house condition, income, independence, and household size.The WP method is used to determine the weight of each criterion by calculating the product of the criteria values raised to the power of their respective weights, which helps in ranking the alternatives. TOPSIS is applied to identify the best alternative by comparing the geometric distance of each option to the ideal solution, which is either the maximum or minimum value of each criterion The results indicate that the WP and TOPSIS methods can provide more objective and transparent rankings. The application of these methods resulted in the highest ranking for ID V3 with a vector V score of 0.1317. The decision support system developed from this research is expected to assist the Housing and Settlement Area Office in distributing aid more accurately, fairly, and efficiently, thereby supporting the government's goals in improving housing quality and spatial planning
Web-Based Assessment System for Graduate Learning Achievements in Outcome-Based Education Wijaya, Alek; Pranata, Wahyu; Syazili, Ahmad; Sauda, Siti
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 2 (2024): September 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i2.9618

Abstract

This research utilizes the Rapid Application Development (RAD) approach, with the analysis stage involving a review of relevant literature and interviews with prospective system users. The next stage is the requirement planning, which entails defining the features or services within the software accessible to prospective system users. The design phase employs use case diagrams, activity diagrams, and Entity Relationship Diagrams (ERD). Subsequently, it is translated into the Laravel framework and undergoes testing to produce a software system for assessing Graduate Learning Outcomes (CPL). This system offers facilities for academic programs to create outcome-based education (OBE) mappings and enables instructors to assess students based on the established mapping data. It also provides students with the ability to view their outcome results. CPL refer to the essential skills that students must acquire following their academic studies. These skills encompass the internalization of grades, attitudes, general knowledge, and specific skills, which students are required to fulfill throughout their academic journey. Outcome grades, as mapped, are attained by students through participation, written tests (quizzes), observations (practical exercises), performance (presentations), mid-term exams, final exams, and oral tests (group assignments). This Graduate Learning Outcomes assessment software is expected to assist program administrators and instructors in managing CPL and also enable students to access detailed records of their outcome grades.
Security Audit of The Public Sector Application Using COBIT 5 and ITIL V4 Framework Alavio, Julianti; Mawarni, Rima; minarti, Sulas
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 2 (2024): September 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i2.9622

Abstract

The use of information system-based applications has become commonplace in various sectors, including government agencies such as the Social Service and hundreds of villages in North Lampung. One of the applications used is SIKS-NG (Social Welfare Information System - Next Generation) which aims to facilitate the management of population data and community welfare programs. However, along with technological developments, data security is increasingly important to pay attention to. Cybercrime attacks, data leaks, and privacy violations are threats that must be taken seriously. The aim of this final assignment is to determine the extent of the security of the SIKS-NG application based on the results of COBIT 5 and ITIL V4 calculations and provide recommendations for improvements to increase information system security. The method used is the COBIT 5 and ITIL V4 method using the Align, Plan and Organize (APO13), Deliver, Support and Service (DSS05), Investment Management (IM14) domains. Data analysis uses the Capability Level, Maturity Level and Linkert Scale methods. The results of this research show that the Capability Level for the APO13 subdomain process obtained an average of 4.24 with a Gap of -0.24, DSS05 obtained an average value of 4.20 with a Gap of -0.20. From the overall results, the APO13 and DSS05 subdomain framework is at level 4 and has a Gap of -O.22, which means that at this level it shows that this subdomain has been achieved and fulfilled. Meanwhile, the Maturity Level for the IM13 subdomain process is on Scale 4 with an average value of 4.17 with a Gap of 0.83, which means it has not reached the target as expected. So this means that the security of the SIKS-NG application information system has the status of being well managed and must continue to be optimized, it's just that the program performance must be repaired and improved further. Keywords— System Security, COBIT 5, ITIL V4, Capability Level, Maturity Level
Leveraging Personal Extreme Programming for Developing an Online Registration System Shani, Tya Rahma; Mintoro, Sigit; Ngajiyanto, Ngajiyanto
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 2 (2024): September 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i2.9638

Abstract

The development of an online admission system in schools is expected to make new student admissions more transparent, effective, and efficient. With the adoption of this technology, schools can be more efficient in managing admission lists, providing information to prospective students and parents, and speeding up the admission selection process. SMA MANBAUL ULUM is a private school that still uses a manual new student registration and admission system, where prospective students must come directly to the school to register themselves causing errors in student data and the loss of important student registration documents. The author examines the new student registration system running at Sma Manbaul Ulum Gayau Sakti Seputih Agung and proposes a web-based new student admission system that is expected to solve these problems. The author uses the Personal Extreme Programming method to design the system in this research.
Predicting Student Graduation Grades Using the C4.5 Algorithm: An Implementation Study Wiranti, Bela amlia Amalia; Supriyanto, Supriyanto; Nurmayanti, Nurmayanti
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 12 No. 2 (2024): September 2024
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v12i2.9639

Abstract

SMP KEMALA BHAYANGKARI as one of the private schools, students follow the learning process and are carried out mid-semester exams, semester final exams in completing junior high school level education. test scores as one of the requirements for grade promotion or for graduation mark the end of junior high school level, and the value of knowledge is one of the keys to a person's ability to complete education. predicting student graduation with the C4.5 algorithm method In the application of the C4.5 algorithm using Rapidminer tools, after manual calculation, the results will be tested using Rapidminer tools. the results of manual calculation of the C4.5 algorithm and the results of calculations using rapidminer tools will produce an Accuracy Level resulting from this calculation of 92.22% for graduation grades at SMP Kemala Bhayangkari Kotabumi.

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