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INDONESIA
Jurnal Komputer, Informasi dan Teknologi
Published by Indonesian Journal Publisher
ISSN : 2807256     EISSN : 28072588     DOI : https://doi.org/10.53697/jkomitek.v1i2
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
KOMITEK Journal (Computer, Information and Technology) journal was founded in 2021. It is an interesting and useful national journal for all parties with an interest in research in various fields of, or closely related to, the disciplines of Computer, Information and Technology. KOMITEK Journal aims to provide a highly readable and valuable addition to the literature that will serve as an indispensable reference tool for years to come. The scope of the journal includes all new theoretical and experimental findings in the field of Computers, Information and Technology or any closely related field. The journal also encourages submission of critical review articles covering advances in the latest research in the field of Computers, Information and Technology.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 377 Documents
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Analisis QoS Pada Internet Desa Puguk Menggunakan Standar THIPON Aditam, Afredo; Marhalim; Khairullah; Mahfuzhi, A.R Walad
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 2 (2024): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i2.2020

Abstract

Jaringan internet juga harus dilakukan analisa agar dapat diketahui bahwa pengguna jaringan atau pelanggan telah merasa puas atau tidak dengan fasilitas jaringan yang diberikan tersebut. Dengan mengetahui analisa jaringan maka akan dapat disimpulkan bahwa pengguna layanan internet mempunyai jaringan yang bagus atau tidak sehingga menjadi salah satu acuan bagi penyedia layanan atau yang disebut ISP (Internet services propeider), untuk memberikan layanan yang lebih baik bagi pengguna. Analisa jaringan menggunakan QoS (Quality of Service) khususnya adalah throughput, dellay dan packet loss mampu memberikan analisa jaringan yang baik, dimana aspek ini yang sering digunakan didalam analisa jaringan. Hasil dari penelitian ini adalah Nilai QoS yang dihasilkan pada pengujian parameter throughput sebesar 52,17% dengan indek 3, sedangkan pada pengujian parameter delay nilai yang dihasilkan sebesar 45ms dengan indek 4 dan pada pengujian parameter packet loss nilai yang dihasilkan sebesar 18,52% dengan nilai indek 2. Dari hasil perhitungan tersebut, layanan internet pada kantor desa puguk termasuk dalam katagori bagus berdasarkan standar THIPON yaitu dengan nilai indeks 3.
Design of a Website-Based Company Profile at SMK Al-Idrus Kutai Kartanegara Fahrozi, Mu; Aspianur; Pranoto, Wawan
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 2 (2024): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i2.2038

Abstract

The development of technology in education encourages SMK Al-Idrus Kutai Kartanegara to embrace the digital world. This study aims to address the challenges of limited resources in integrating web design skills by developing a web-based company profile application using the prototyping method. The program involves stages such as requirement gathering, prototype development, user evaluation, and final product development. The resulting application includes interfaces such as a homepage, admin panel, news section, departments, student admission (PPDB), school profile, and login page. Through this activity, students gain practical experience in web development, enabling them to compete in the digital era and meet the demands of the information technology and graphic design industries.
Analysis of the Impact of Interview-Based Feature Selection on the Performance of Machine Learning Algorithms in Mental Health Disorder Classification Hendrick
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 2 (2024): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i2.2039

Abstract

Mental health issues in the workplace have become an increasingly important concern, particularly in the high-pressure environment of the information technology industry. This study aims to evaluate the impact of feature selection based on interviews on the performance of machine learning models in classifying mental health disorders. The dataset used is sourced from Open Sourcing Mental Illness (OSMI), which consists of various features related to employees' mental health conditions, previously used without feature selection in prior research. Through an interview with an experienced Human Capital professional with a psychological background, relevant features were selected based on domain expertise. Subsequently, machine learning models, namely Random Forest and XGBoost, were trained using two scenarios: without feature selection and with feature selection. The results of the study indicate that feature selection based on interviews can improve model accuracy by 1.67% for Random Forest and 0.67% for XGBoost. These findings emphasize the importance of integrating psychological insights into the data processing to produce more relevant and efficient models. This research provides practical contributions to assist companies in implementing early detection of mental health disorders effectively.
Sentiment Analysis Related to Law No. 6 Of 2023 on the Employment Cluster Using the Bidirectional Long Short-Term Memory Algorithm M, Anugra; Munawar
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 2 (2024): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i2.2051

Abstract

The enactment of UU Cipta Kerja has triggered varied public responses, particularly concerning employment provisions like fixed-term employment (PKWT), the legalization of outsourcing, unfair severance pay, and ease of layoffs. Social media has become a primary platform for the public to share opinions on issues within the law’s employment cluster. This study employs sentiment analysis using the Bidirectional Long Short-Term Memory (Bi-LSTM) algorithm to understand public sentiment about UU Cipta Kerja and sentiment within its content. Bi-LSTM is chosen for its ability to capture temporal relationships and context in long texts, which aids in handling complex sentiment classification. The findings indicate varied public perceptions: neutral sentiment dominates issues like "PKWT" and "Minimum Wage" on Twitter (X), reflecting uncertainty. Positive sentiment appears around "Outsourcing" and "Minimum Wage" provisions, indicating perceived flexibility. Conversely, negative sentiment dominates issues like "Layoffs" and "Severance," on both social media and in UU Cipta Kerja content, signaling concerns over worker rights. The Bi-LSTM model achieved 70.15% accuracy for the Twitter dataset and 83.22% for the law’s content dataset.
Enhancing Data Security and Integrity with Post-Quantum and AES Digital Signatures Puringgar Prasadha Putra, Rayasa; H. A. Danang Rimbawa; Bisyron Wahyudi
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 2 (2024): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i2.2081

Abstract

Data security and integrity are crucial issues in contemporary information systems, since the emergence of quantum computing presents substantial risks to traditional cryptographic techniques such as RSA and ECC. This work suggests a hybrid technique that combines the Advanced Encryption Standard (AES) for symmetric encryption with Post-Quantum Cryptography (PQC) digital signatures to mitigate these issues. The framework seeks to safeguard sensitive documents, including PDFs, against unauthorized alterations and Man-in-the-Middle (MiTM) attacks. A simulation is executed to illustrate the threats associated with Man-in-the-Middle (MiTM) attacks, whereby the encrypted document and digital signatures are intercepted, altered, and re-encrypted. The technology guarantees data integrity by signature verification and hash comparisons, efficiently identifying and preventing tampering. The findings indicate that the suggested PQC-AES hybrid system not only fortifies defenses against conventional threats but also improves resistance to quantum-based assaults, offering a scalable and safe approach for contemporary data security. The research emphasizes the need of implementing quantum-resistant algorithms to safeguard digital security systems for the future, while preserving the efficacy of existing encryption techniques. The progression of quantum computing presents substantial threats to traditional cryptography methods, including RSA and ECC. These cryptosystems depend on mathematical issues that can be effectively resolved using quantum algorithms, especially Shor's algorithm. Post-Quantum Cryptography (PQC) has emerged as a viable way to mitigate this issue
Quantum Entropy-Based Encryption for Securing Communication Devices in TNI AU Space Units Kencana, Lisdi Inu; H.A Danang Rimbawa; Bisyron Wahyudi
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 2 (2024): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i2.2091

Abstract

The rising threat of cyber-attacks demands advanced encryption technologies to ensure secure communication. This study evaluates the performance and security of the Quantum Shieldz Cipher integrated with Quantum Entropy-Based Encryption (QEBE) to address the limitations of conventional encryption methods. The main objective is to test the system's ability to generate unpredictable encryption keys, detect interception attempts, and resist quantum-based cyber threats. Experiments were conducted under various operational scenarios, including standard conditions, high interference, and high bandwidth environments, with a focus on its implementation for strategic communication in the Indonesian Air Force (TNI AU).The results show that QEBE effectively generates highly secure encryption keys using the Quantum Random Number Generator (QRNG), significantly reducing the risk of brute-force attacks. The system successfully detects interception by identifying changes in qubit states during data transmission. The implementation within TNI AU demonstrates its effectiveness in securing critical communication systems that require robust protection. However, the system relies heavily on stable network infrastructure with high bandwidth to maintain optimal performance. Compared to conventional methods, QEBE provides superior security and resistance to quantum-based attacks, albeit with a slight trade-off in processing speed. In conclusion, the Quantum Shieldz Cipher integrated with QEBE shows significant potential for enhancing secure communication systems, particularly in critical operations within TNI AU. This technology is a promising solution to safeguard against evolving cyber threats and quantum-based attacks.
Expert System Application to Diagnose Degenerative Diseases Using Methods Certainty Factor Imansyah, Dwi; Suranti , Dewi; Suryana , Eko
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 2 (2024): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i2.2097

Abstract

Degenerative diseases are diseases that cause damage or destruction to body tissue or organs that arise due to a decrease in the function of one or more of the body's organs which are very susceptible to elderly people. Considering the large negative impact of degenerative diseases, it is necessary to prevent or seriously treat the dangers of degenerative complications. Efforts to minimize this danger can be made by increasing public awareness about things that can cause degenerative diseases. Therefore, we need a system that can help as an alternative to consulting a doctor for the general public. Therefore, this expert system was built using the Certainty Factor method which can be used as a solution in using an expert system to diagnose this Degenerative disease. In its application, the certainty factor method can provide a percentage level of confidence in a disease, if the user has or selects symptoms so that they can determine the type of disease they are suffering from. Based on the tests carried out, it can be concluded that this expert system application can be used by users to make an early diagnosis of degenerative diseases. This expert system can be accessed at the link www.sp_ Degenerative.com. Making it easier for users to consult.
Sistem Informasi Gaji Karyawan Menggunakan Framework Codeigniter Pada Yayasan Pendidikan Islam Al Waziriyah Malik Abdul Hakim; Diah Triesia; Usep Teisnajaya
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 2 (2024): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i2.2113

Abstract

Pengelolaan gaji karyawan secara manual sering kali menimbulkan masalah, seperti ketidakakuratan perhitungan, ketidakefisienan waktu, dan kurangnya transparansi. Untuk mengatasi masalah tersebut, penelitian ini bertujuan untuk merancang dan membangun sebuah sistem informasi gaji karyawan berbasis framework CodeIgniter. Sistem ini dirancang untuk membantu Yayasan Pendidikan Islam Al Waziriyah dalam mengelola data pegawai, data jabatan, absensi, dan potongan gaji secara terintegrasi. Metodologi yang digunakan dalam penelitian ini adalah Software Development Life Cycle (SDLC) dengan pendekatan waterfall. Proses perancangan meliputi analisis kebutuhan, perancangan sistem, implementasi, dan pengujian. Sistem memiliki dua pengguna utama, yaitu admin dan pegawai. Admin dapat mengelola data pegawai, jabatan, absensi, potongan gaji, serta menghasilkan laporan gaji dan absensi. Sementara itu, pegawai dapat melihat rincian gaji dan mencetak slip gaji. Hasil penelitian menunjukkan bahwa sistem ini berhasil meningkatkan efisiensi, akurasi, dan transparansi dalam pengelolaan gaji karyawan. Selain itu, fitur keamanan yang diterapkan, seperti autentikasi pengguna dan pengelolaan hak akses, memastikan keamanan data yang tersimpan dalam sistem. Dengan demikian, sistem informasi ini diharapkan dapat memberikan manfaat signifikan bagi yayasan dalam pengelolaan sumber daya manusia secara efektif dan terstruktur.
Analisa QoS Pada Jaringan Voice Over Internet Protocol Server Portable Berbasis Raspberry Pi Menggunakan Metode Action Research Pada Daerah Tak Terjangkau Sinyal Dan Sumber Daya Listrik M. Dimas Goworzky; Alex Wijaya; Ilman Zuhri Yadi; Timur Dali Purwanto
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 2 (2024): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i2.2115

Abstract

Teknologi telekomunikasi sudah menjadi kebutuhan penting bagi manusia untuk bersosialisasi. Contohnya telepon, namun telepon memerlukan alat pendukung agar beroperasi sesuai fungsinya seperti sumber daya listrik dan pemancar provider. Pada penelitian ini metode yang digunakan adalah Action Reseach dalam pembuatan VoIP Server berbasis Raspberry Pi tanpa koneksi internet menggunakan baterai aki mobil sebagai sumber energi dan menggunakan sistem operasi RasPBX sebagai pondasi utama dengan aplikasi Asterisk dan FreePBX. Selanjutnya uji coba performansi QoS saat melakukan panggilan yaitu dengan komunikasi antar client dan komunikasi terhadap jarak router access point menggunakan parameter Delay, Jitter, Throughput, Packet Loss dan parameter Mean Opinion Score untuk pengukuran kualitas suara. Hasil penelitian ini merupakan sebuah implementasi metode Action Research pada VoIP Server berbasis Raspberry Pi tanpa koneksi internet menggunakan baterai aki mobil sebagai sumber energi dan memperoleh nilai QoS komunikasi antar client yaitu dengan rata–rata Delay (6 ms), rata-rata Jitter (5.6 ms), rata-rata Packet Loss (0.73%), rata-rata Througput (341 bps), rata–rata MOS (5 atau sempurna) sedangkan komunikasi terhadap jarak router access point memperoleh nilai QoS yaitu dengan rata–rata Delay (10 ms), rata-rata Jitter (9 ms), rata-rata Packet Loss (3.15%), rata–rata Througput (168 bps), rata–rata MOS (4 atau baik).
Pengaruh Artificial Intellegincies/ Ai Terhadap Prestasi Mahasiswa UMUSLIM Marsithah, Iis; Nadila, Putri; Ramadani, Chandra; Putri, Amelia
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 2 (2024): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i2.2121

Abstract

Penelitian ini menganalisis pengaruh penggunaan Artificial Intelligence (AI) terhadap prestasi akademik mahasiswa di Universitas Almuslim (UMUSLIM). Metode kuantitatif dengan pendekatan survei digunakan untuk mengumpulkan data dari mahasiswa aktif yang menggunakan platform pembelajaran berbasis AI. Hasil analisis menunjukkan adanya korelasi positif yang signifikan antara penggunaan AI dan prestasi akademik, di mana 75% responden yang menggunakan alat AI setidaknya tiga kali seminggu melaporkan peningkatan prestasi. Temuan menunjukkan peningkatan prestasi akademik sebesar 45% untuk setiap peningkatan penggunaan AI dan peningkatan keterlibatan mahasiswa sebesar 68% berkat umpan balik real-time dan pengalaman belajar yang dipersonalisasi. Namun, tantangan seperti keterbatasan infrastruktur teknologi dan rendahnya literasi digital di kalangan mahasiswa juga teridentifikasi. Rekomendasi termasuk peningkatan infrastruktur teknologi, pelatihan literasi digital, dan pengembangan konten pembelajaran berbasis AI. Secara keseluruhan, AI memiliki potensi besar untuk meningkatkan prestasi akademik, namun memerlukan dukungan yang memadai untuk implementasi yang efektif

Page 37 of 38 | Total Record : 377

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