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JURNAL ILMIAH SAINS TEKNOLOGI DAN INFORMASI
Published by CV ALIMS PUBLISHING
ISSN : 29643090     EISSN : 29643104     DOI : https://doi.org/10.59024/jiti.v1i1.118
Core Subject : Science, Social,
Computer Science & IT Energy Environmental Science
JURNAL ILMIAH SAINS TEKNOLOGI DAN INFORMASI (JITI), untuk menyebarluaskan, mengembangkan dan menfasilitasi hasil penelitian inter-disiplin di bidang Teknologi Informasi dan Komunikasi, sistem komputer, informatika dan komunikasi sebagai media bagi para dosen, guru, peneliti dan para praktisi dalam bidang Teknologi Informasi dan Komunikasi, sistem komputer, informatika dan komunikasidari seluruh Indonesia, dalam melakukan pertukaran informasi tentang hasil-hasil penelitian terbaru yang telah dilakukan. Adapun ruang lingkup Jurnaladalah: 1. Software Engineering (Rekayasa Perangkat Lunak) 2. Information System (Sistem Informasi) 3. Artificial Intelligence (Kecerdasan Buatan) 4. Computer Based Learning (Pembelajaran Berbasis Komputer) 5. Computer Networking & Data Communication (Jaringan Komputer & Komunikasi Data) 6. Komunikasi Data 7. Desain Komunikasi Visual 8. Desain Multimedia . Jurnal ini terbit 1 tahun 4 kali (Januari, April, Juli dan Oktober).
Arjuna Subject : Teknik (semua kategori) - Teknologi Media
Articles 97 Documents
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DESAIN INOVATIF SISTEM KEAMANAN SIBER BERBASIS KECERDASAN BUATAN MENGHADAPI TANTANGAN KOMPUTASI KUANTUM Maria Atik Sunarti Ekowati Herusubroto; Sri Wening
JURNAL ILMIAH SAINS TEKNOLOGI DAN INFORMASI Vol. 3 No. 2 (2025): April : Jurnal Ilmiah Sains Teknologi dan Informasi
Publisher : CV. ALIM'SPUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/jiti.v3i2.1180

Abstract

Perkembangan komputasi kuantum memberikan potensi besar dalam bidang teknologi informasi, namun juga menimbulkan ancaman signifikan terhadap sistem keamanan siber yang ada saat ini. Sebagai respons terhadap tantangan ini, penelitian ini bertujuan untuk merancang sistem keamanan siber inovatif yang berbasis kecerdasan buatan (AI) guna melawan ancaman komputasi kuantum. Metode yang digunakan melibatkan penerapan algoritma AI untuk mendeteksi dan merespons serangan kuantum secara dinamis, serta integrasi kriptografi pasca-kuantum untuk meningkatkan ketahanan sistem terhadap potensi peretasan. Penelitian ini juga mengeksplorasi penggunaan pembelajaran mesin untuk mengidentifikasi pola ancaman dan memperkuat sistem secara otomatis seiring waktu. Temuan dari penelitian ini menunjukkan bahwa sistem yang dikembangkan mampu mendeteksi ancaman kuantum dengan tingkat akurasi yang tinggi dan menawarkan solusi yang dapat diimplementasikan pada berbagai platform siber. Implikasi dari hasil penelitian ini adalah kemajuan signifikan dalam pengembangan sistem keamanan yang lebih tangguh dan adaptif terhadap evolusi komputasi kuantum, membuka jalan bagi terciptanya infrastruktur digital yang lebih aman di masa depan
Penerapan Klasterisasi Fitur Audio dalam Rekomendasi Lagu Jawa Modern Mokhamad Syihabul Khoir; Imam Muhannad; Aryo Nugroho
JURNAL ILMIAH SAINS TEKNOLOGI DAN INFORMASI Vol. 4 No. 2 (2026): Vol. 4 No. 2 (2026): April : Jurnal Ilmiah Sains Teknologi dan Informasi
Publisher : CV. ALIM'SPUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/jiti.v4i2.1686

Abstract

Lagu Jawa modern merupakan perkembangan kontemporer dari musik tradisional Jawa yang semakin banyak dinikmati generasi muda melalui platform digital. Namun, meningkatnya jumlah lagu baru membuat pengguna sulit menemukan lagu yang sesuai dengan preferensi musikal jika pencarian hanya dilakukan berdasarkan judul atau nama artis. Penelitian ini mengembangkan pendekatan rekomendasi berbasis konten melalui klasterisasi fitur audio terhadap 100 lagu Jawa modern yang dikumpulkan dari YouTube. Fitur audio diekstraksi menggunakan Librosa pada Python, meliputi tempo BPM, danceability, RMS energy, zero-crossing rate, MFCC means, spectral contrast means, dan chroma features means, sehingga setiap lagu menghasilkan 36 fitur numerik. Algoritma K-Means digunakan untuk membentuk tiga klaster, PCA digunakan untuk memvisualisasikan distribusi klaster, dan Silhouette Score digunakan untuk mengevaluasi kualitas pengelompokan. Hasil penelitian mengidentifikasi tiga gaya musikal yang dapat diinterpretasikan, yaitu Jawa modern enerjik, lagu tradisional atau akustik, serta Jawa eksperimental atau ambient, dengan Silhouette Score sebesar 0,114. Temuan ini menunjukkan bahwa fitur audio mampu merepresentasikan karakter lagu secara objektif dan mendukung sistem rekomendasi adaptif untuk pelestarian musik daerah. Pendekatan ini juga membantu memperluas akses pendengar terhadap kekayaan musik lokal di era digital secara berkelanjutan.
Perbandingan Motode Long Short-Term Memory (LSTM) dan Hybrid LSTM-XGBoost dalam Prediksi Harga Komoditas Sektor Pertanian di Sulawesi Tenggara Muhammad Vannes Al Qadri; Rizal Adi Saputra; Asa Hari Wibowo; La Ode Muhammad Golok Jaya; Isnawaty Isnawaty
JURNAL ILMIAH SAINS TEKNOLOGI DAN INFORMASI Vol. 4 No. 3 (2026): Juli : Jurnal Ilmiah Sains Teknologi dan Informasi
Publisher : CV. ALIM'SPUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/jiti.v4i3.1685

Abstract

Agricultural commodity price instability remains a major challenge for farmers, fishers, and livestock breeders in Southeast Sulawesi Province, where 54,905 agricultural workers were still categorized as poor in 2023. Frequent price fluctuations complicate production and marketing decisions, creating the need for accurate price prediction systems. This study develops and compares two prediction models: a single Long Short-Term Memory (LSTM) model and a Hybrid LSTM-XGBoost model for 20 agricultural commodities across 17 regencies/cities in Southeast Sulawesi. Daily price data were collected from the Southeast Sulawesi Food Security Agency from January 2023 to December 2025. The LSTM model consisted of two LSTM layers (128 and 64 units), a Bahdanau Attention mechanism, and an Embedding layer to represent regions and commodities. The XGBoost component was used to correct LSTM residuals within a 30-day prediction horizon. Model performance was evaluated using Mean Absolute Percentage Error (MAPE). Results showed that the Hybrid LSTM-XGBoost model achieved better accuracy, with an average MAPE of 4.73% compared to 5.52% for the single LSTM model. Significant improvements were found in volatile commodities such as Bird’s Eye Chili and Curly Red Chili. The system can support production planning, food distribution, and SDG 1 (No Poverty).
Pengaruh Pemilihan Topologi Jaringan Star Terhadap Performa Jaringan Pada Komputer Sitti Hadra; Nabila Nabila; Firta Dewi; Ketrin Rinayanti Manullang; Dewi Suci
JURNAL ILMIAH SAINS TEKNOLOGI DAN INFORMASI Vol. 4 No. 2 (2026): Vol. 4 No. 2 (2026): April : Jurnal Ilmiah Sains Teknologi dan Informasi
Publisher : CV. ALIM'SPUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/jiti.v4i2.1745

Abstract

Penelitian ini menganalisis pengaruh topologi star terhadap performa jaringan komputer di era digital, di mana akses internet Indonesia mencapai 72,78% menurut BPS (2024), menuntut infrastruktur andal dan efisien. Tujuan utama adalah mengevaluasi keunggulan seperti kemudahan pemeliharaan, performa stabil, serta keamanan terpusat, sekaligus keterbatasan kritis berupa single point of failure, biaya kabel tinggi, dan skalabilitas terbatas, dengan mitigasi melalui protokol redundansi FHRP. Metode yang digunakan adalah studi kepustakaan digital melalui analisis literatur dari jurnal, e-book, dan sumber daring. Hasil menunjukkan topologi star unggul untuk LAN skala kecil-menengah dengan throughput tinggi dan deteksi kesalahan mudah, meskipun rentan kegagalan pusat; integrasi FHRP berhasil meminimalkan downtime di bawah 1% serta mencapai uptime 99,9%. Secara keseluruhan, topologi star dikombinasikan redundansi menjadi solusi optimal untuk lingkungan enterprise modern, dengan saran penggunaan switch stackable, monitoring SNMP, dan VLAN untuk meningkatkan skalabilitas serta keamanan.
Analisis Perkembangan Teknologi Jaringan 5g Dan Dampaknya Terhadap Komunikasi Digital Sitti Hadra; Nabila Nabila; Dewi Suci; Firta Dewi; Ketrin Rinayanti Manullang
JURNAL ILMIAH SAINS TEKNOLOGI DAN INFORMASI Vol. 4 No. 2 (2026): Vol. 4 No. 2 (2026): April : Jurnal Ilmiah Sains Teknologi dan Informasi
Publisher : CV. ALIM'SPUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/jiti.v4i2.1746

Abstract

Jaringan 5G, sebagai generasi kelima teknologi seluler, menyediakan kecepatan internet ultratinggi, latensi minimal, dan konektivitas superior dibandingkan pendahulunya. Penelitian ini bertujuan mengkaji evolusi, manfaat, serta hambatan implementasi 5G dalam berbagai domain kehidupan. Pendekatan metodologis yang diterapkan adalah studi pustaka (Library Research) dengan pengumpulan data dari literatur primer seperti buku, jurnal ilmiah, dan artikel peer-reviewed. Temuan penelitian mengindikasikan bahwa 5G menghasilkan dampak transformasional positif pada pendidikan (VRlearning), kesehatan (telesurgery), industri (Industry4.0), transportasi (V2X), dan smart city ecosystems. Meski demikian, deployasi 5G terkendala oleh biaya infrastruktur masif, keterbatasan device ecosystem, serta vulnerabilitas keamanan siber. Rekomendasi: Diperlukan integrasi advanced security frameworks dan dukungan infrastruktur policy-driven untuk optimalisasi adopsi dan sustainability jaringan 5G.
Klasifikasi Gaya Hidup Siswa Menggunakan Metode K-Nearest Neighbors Syahrina Indah Harahap; Ilka Zufria; Abdul Halim Hasugian
JURNAL ILMIAH SAINS TEKNOLOGI DAN INFORMASI Vol. 4 No. 2 (2026): Vol. 4 No. 2 (2026): April : Jurnal Ilmiah Sains Teknologi dan Informasi
Publisher : CV. ALIM'SPUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/jiti.v4i2.1785

Abstract

This research aims to classify students’ lifestyles using the K-Nearest Neighbors (KNN) algorithm. The dataset consists of 392 high school students obtained from Kaggle, with key attributes including study hours, social media usage, Netflix viewing duration, attendance, sleep quality, internet quality, mental health, and extracurricular activities. KNN was chosen for its simplicity in distance-based classification, measured using Euclidean Distance. The data was divided into training and testing sets, then evaluated using accuracy and a confusion matrix. The results show that KNN effectively classifies students’ lifestyles into four categories: healthy, less active, at risk, and highly at risk. This classification is expected to assist educational institutions, parents, and students in understanding lifestyle patterns and their impact on academic performance and mental well-being. Furthermore, this study emphasizes the relevance of applying machine learning in education, aligned with Islamic values concerning health, discipline, and the optimal use of time.
Implementasi Algoritma Damerau-Levenshtein Untuk Pemeriksaan Dan Koreksi Kesalahan Ejaan Bahasia Indonesia Okvi Nugroho; Ahmad Rahmatika; Tri Andre Anu; Maulidya Rahmah
JURNAL ILMIAH SAINS TEKNOLOGI DAN INFORMASI Vol. 4 No. 2 (2026): Vol. 4 No. 2 (2026): April : Jurnal Ilmiah Sains Teknologi dan Informasi
Publisher : CV. ALIM'SPUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/jiti.v4i2.1943

Abstract

This study implements the Damerau-Levenshtein algorithm for an Indonesian spelling checking and correction system based on the distance editing approach. The main objective of this study is to develop a system capable of automatically detecting and correcting spelling errors at the character level through a matching process against the KBBI dictionary and the Indonesian corpus. The methods used include data collection, text pre-processing, system design, and implementation of the Damerau-Levenshtein algorithm which includes insertion, deletion, substitution, and transposition operations. Testing was conducted using 25 test data consisting of standard words and modified words for typographical errors. The results show that the system is able to measure all test data with an accuracy level of 100% on a limited dataset. In addition, the average Damerau-Levenshtein Distance value of 0.84 indicates that most errors are in the light category. Evaluation using a confusion matrix produces precision, recall, and F1-score values ​​of 100% each. These results indicate that the Damerau-Levenshtein algorithm is effective in handling character-based spelling errors. However, the system still has limitations in handling complex semantic contexts and language variations. Therefore, further research is recommended to integrate language model-based approaches to improve the system's accuracy and generalization on real-world data.
Perancangan Prototype Sistem Manajemen Quiz Berbasis Web Untuk Mendukung Evaluasi Pelatihan Menggunakan Figma M.Robi Maulana; Usman Ependi
JURNAL ILMIAH SAINS TEKNOLOGI DAN INFORMASI Vol. 4 No. 3 (2026): Juli : Jurnal Ilmiah Sains Teknologi dan Informasi
Publisher : CV. ALIM'SPUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/jiti.v4i3.1999

Abstract

The development of information technology has provided convenience in supporting training activities and competency evaluation within companies. Training is one of the important activities carried out to improve participants’ knowledge, skills, and abilities in accordance with organizational needs. To determine the success of training, an evaluation process is required to measure participants’ level of understanding of the material that has been delivered. Based on observations conducted at a company, the training evaluation process still requires a more structured, interactive, and user-friendly medium. The company’s identity is not directly disclosed due to its confidentiality policy; therefore, the research object in this article is referred to as Company X. This study focuses on designing a prototype of a dashboard Quiz Management System using Figma. The system is designed to support question management, quiz library, quiz implementation through QR Code, quiz result presentation, question discussion, and leaderboard features. The purpose of this study is to produce a prototype design that can serve as an initial reference for developing a web-based training evaluation system that is more modern, structured, interactive, and suitable for user needs.
Perancangan UI/UX Prototype Sistem Informasi Pendataan Tamu di Sebuah Perusahaan Berbasis Website Menggunakan Metode Design Thinking Adi Subekti; Firamon Syakti
JURNAL ILMIAH SAINS TEKNOLOGI DAN INFORMASI Vol. 4 No. 3 (2026): Juli : Jurnal Ilmiah Sains Teknologi dan Informasi
Publisher : CV. ALIM'SPUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/jiti.v4i3.2012

Abstract

Guest data collection is an important administrative activity in supporting the management of visitor information in a company. However, the manual guest data collection process often causes various obstacles, such as recording errors, difficulty in searching for data, and ineffective reporting processes. This study aims to design the User Interface (UI) and User Experience (UX) prototype for a website-based Guest Data Collection Information System using the Design Thinking method. The Design Thinking method was chosen because it is oriented towards user needs through five stages: empathize, define, ideate, prototype, and test. Data collection was carried out through observation and identification of user needs for the guest data collection system. The results of the study are an interface prototype designed using Figma, consisting of a login page, dashboard, guest data collection, guest data, and reports. The resulting prototype is expected to provide an overview of a system that is easier to use, has clear navigation, and supports the guest data collection process more effectively. This research can be a reference in the development of a guest data collection information system in the next implementation stage.
Evaluation of WLAN Network Speed Based on Service Access Time and Proposed Expansion of Guest Network Infrastructure at BPJS Ketenagakerjaan Palembang Branch Muhamad Faqih Febriansyah; Ahmad Haidar Mirza
JURNAL ILMIAH SAINS TEKNOLOGI DAN INFORMASI Vol. 4 No. 3 (2026): Juli : Jurnal Ilmiah Sains Teknologi dan Informasi
Publisher : CV. ALIM'SPUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/jiti.v4i3.2013

Abstract

This study evaluates the performance of the existing WLAN network on the first floor of the BPJS Ketenagakerjaan Palembang Branch office and proposes an expansion of guest network infrastructure on the second floor. Network performance was measured using Wireshark and Speedtest across three access-time scenarios (busy, moderate, and quiet hours), based on the TIPHON Quality of Service parameters: throughput, delay, jitter, and packet loss. Results show that the existing flat-network topology causes severe performance degradation during busy hours, with a QoS index of 2.00 (fair/critical), throughput dropping to 0.96 Mbps, delay rising to 338 ms, jitter spiking to 792.6 ms, and packet loss reaching 9.35%. Based on these findings, a second-floor guest network design is proposed using VLAN segmentation, a captive portal with a two-hour session limit, and per-user bandwidth throttling of 2 Mbps. The proposed design isolates public traffic from the internal network while maintaining fairness of access for visitors, offering a practical and secure solution for expanding wireless infrastructure in public-service institutions.

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