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INSTITUT TEKNOLOGI DAN BISNIS ASIA MALANG Jalan Soekarno Hatta Rembuksari No 1A Malang
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Jurnal ilmiah teknologi informasi Asia
Published by Institut Teknologi dan Bisnis Asia Malang
ISSN : 0852730X     EISSN : 25808397     DOI : https://doi.org/10.32815/jitika
Core Subject : Science,
Computer Science & IT
Published by Institute for Research, Development and Community Service (Lembaga Penelitian, Pengembangan dan Pengabdian Masyarakat / LP2M) of High School of Information & Computer Management (Institut Teknologi dan Bisnis AsiA MALANG as a periodical publication that provides information and analysis on the science of Technology and Information. Jurnal Ilmiah Teknologi Infomasi Asia is a journal published twice a year, double-blindly reviewing enriches the understanding of past, present, and future issues relevant to Information Technology. Jurnal Ilmiah Teknologi Infomasi Asia hopes the article raises debate, controversy, new understanding, solid theory, and reflection on the topics. Focus and Scope: Manuscript in Jurnal Ilmiah Teknologi Infomasi Asia is the result of research including but not limited to: Computer Science, Informatics Engineering, Computer Systems and Information Systems. The authors are invited to submit articles that have not been published before and are not under consideration elsewhere.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 264 Documents
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Sistem Pendukung Keputusan Penentuan Calon Guru Honorer Di SMP Negeri 3 Kota Tambolaka Dengan Metode TOPSIS Mere, Yohanes Isak
Jurnal Ilmiah Teknologi Informasi Asia Vol 18 No 1 (2024): Volume 18 Nomor 1 (8)
Publisher : LP2M Institut Teknologi dan Bisnis ASIA Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jitika.v18i1.966

Abstract

To update the quality of schools, the importance of selecting honorary teacher candidates can be done by the school principal. Organizing the selection process for prospective honorary teachers is the main step for educational institutions to find more competent prospective honorary teachers. The teacher is a key element in the educational structure. However, due to the lack of an approach or system in the assessment process, the recruitment of prospective honorary teachers has not been successful. Therefore, it is considered important to build a decision support system that uses the TOPSIS method. This method makes it possible to choose the best option from the existing ones. By using this technique, the results will show prospective teachers who are more suitable to work in schools according to the standards set by educational institutions. Of the seven candidates who submitted their applications, 3 prospective honorary teachers were selected who met the requirements and matched the needs of educational institutions.
Analisa Kematangan Manajemen Layanan Teknologi Informasi Dengan Standar Information Technology Infrastructure Library (ITIL V3): Studi Kasus Pengadilan Negeri Bondowoso Alhari, Muhammad Ilham; Safitri, Pima Hani; Amri, Arni Muarifah; Ramadan, Arip
Jurnal Ilmiah Teknologi Informasi Asia Vol 18 No 2 (2024): Volume 18 nomor 2 2024 (8)
Publisher : LP2M Institut Teknologi dan Bisnis ASIA Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jitika.v18i2.974

Abstract

This study aims to analyze the maturity level of Information Technology (IT) service management in Bondowoso District Court using the Information Technology Infrastructure Library (ITIL) version 3 (V3) framework. The use of IT in the state court has become crucial to support daily operations, efficiency, and quality of service to the community. The research method used is a case study, with data collection through interviews, observation, and document analysis. The results showed that Bondowoso District Court has a level of IT service management maturity that still needs to be improved. ITIL V3 is used as a guideline to evaluate IT service management processes in such courts. The results of this research can also be an important contribution in the context of developing IT service management in similar institutions, focusing on the application of the ITIL V3 framework. It is hoped that with corresponding improvements, the court can reach a higher level of IT service management maturity and provide better service to society. Keywords: Information Technology Infrastructure Library (ITIL); Pengadilan Negri Bondowoso, Manajemen layanan
Analisis Nilai Valuasi Startup Ramerame.co.id Menggunakan Scorecard Method Dewi, Ayu Sintya
Jurnal Ilmiah Teknologi Informasi Asia Vol 18 No 1 (2024): Volume 18 Nomor 1 (8)
Publisher : LP2M Institut Teknologi dan Bisnis ASIA Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jitika.v18i1.979

Abstract

Ramerame.co.id is a business collaboration platform that provides opportunities for people to own a business or business with small capital. This research aims to calculate the valuation value of the Ramerame.co.id startup usingScorecard Valuation Method. There are 7 factors assessed, namely: Strength of Entrepreneur and Management Team, Size of Opportunity, Strength of Product and Intellectual Property, Competitive Environment, Marketing/Sales/Partners, Need for additional funding rounds and other Factors Based on the assessment carried out using Based on the assessment carried out using the Scorecard Valuation Method, the valuation value obtained by Ramerame.co.id was IDR 1,881,250,000
Implementasi Learning Management System (LMS) Berbasis Website Di SMAN 2 Mengwi Putri, Rania Erika
Jurnal Ilmiah Teknologi Informasi Asia Vol 18 No 1 (2024): Volume 18 Nomor 1 (8)
Publisher : LP2M Institut Teknologi dan Bisnis ASIA Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jitika.v18i1.981

Abstract

Analisis Klasterisasi Penyakit Malaria Menggunakan Metode K-Means di Indonesia Faqih, Luthfi Ramdhan; Riska, Suastika Yulia
Jurnal Ilmiah Teknologi Informasi Asia Vol 18 No 1 (2024): Volume 18 Nomor 1 (8)
Publisher : LP2M Institut Teknologi dan Bisnis ASIA Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jitika.v18i1.991

Abstract

Malaria is a dangerous and potentially deadly disease in Indonesia. The spread and transmission of malaria occurs very rapidly. The aim of this study was to identify clusters within the state based on the intensity of malaria cases. In this study, K-means was applied to the clustering process using the values ​​of K=2, K=3, and K=5. This means that the Davis-Boldan index value for K=2 is 0.033, the Davis-Boldan index value for K=3 is 0.034, and the Davis-Boldan index value for K=5 is 0.262. The research results show that using K-Means with K=2 yields the best cluster with the lowest Davies-Bouldin index value (0.033). This will help the government plan more effective preventive measures in different provinces of Indonesia in the coming years. Therefore, this study makes an important contribution to malaria control efforts to reduce malaria incidence and public health impact in Indonesia.
Pembangunan Sistem Monitoring Kehadiran Mahasiswa Menggunakan Yolo Pendeteksi Obyek dan Pengenal Wajah Opencv Fu'adi, Anwar
Jurnal Ilmiah Teknologi Informasi Asia Vol 18 No 1 (2024): Volume 18 Nomor 1 (8)
Publisher : LP2M Institut Teknologi dan Bisnis ASIA Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jitika.v18i1.999

Abstract

Penelitian ini bertujuan untuk mengatasi permasalahan pencatatan kehadiran mahasiswa yang seringkali memakan waktu dan rentan terhadap kesalahan manusiawi. Masalah efisiensi dan akurasi dalam pencatatan kehadiran memotivasi penelitian ini dalam mengembangkan aplikasi kehadiran mahasiswa berbasis teknologi computer vision menggunakan OpenCV dan YOLO. Metode yang digunakan dimulai dengan pengumpulan dan mengelola data berupa foto-foto wajah mahasiswa sebagai basis data. Proses pengenalan wajah dilakukan melalui penerapan Simple Face Recognition library dari OpenCV, sementara deteksi wajah secara real-time dilakukan dengan model YOLO. Integrasi kedua model ini dilakukan dalam sebuah server berbasis API menggunakan FastAPI. Selanjutnya, pengembangan aplikasi mobile menggunakan Flutter memungkinkan pengguna untuk mengambil dan mengirimkan gambar wajah mahasiswa ke server API serta menerima respons berupa daftar mahasiswa yang terdeteksi dalam gambar. Tujuan dari penelitian ini adalah untuk menciptakan solusi pencatatan kehadiran mahasiswa yang akurat, cepat, dan efisien melalui teknologi computer vision. Pengujian aplikasi yang dikembangkan menunjukkan hasil yang menjanjikan dengan integrasi yang sukses antara teknologi OpenCV dan YOLO. Keberhasilan integrasi menunjukkan kinerja yang memuaskan, mengindikasikan potensi besar aplikasi ini dalam meningkatkan efisiensi manajemen kehadiran di lingkungan pendidikan.
Ekstraksi Ulasan Pelanggan Restoran dalam Menggali Aspek Layanan pada Google Review dan Tripadvisor sebagai Faktor Peningkatan Kualitas Brata, Dwija Wisnu; Purnomo, Welly; Nofandi, Achmad
Jurnal Ilmiah Teknologi Informasi Asia Vol 18 No 1 (2024): Volume 18 Nomor 1 (8)
Publisher : LP2M Institut Teknologi dan Bisnis ASIA Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jitika.v18i1.1001

Abstract

Customer reviews are views and comments given by customers after they experience a product or service. Customer reviews can be a valuable source of information for owners, but there are certain problems related to reviews piling up and not having time to read the meaning of the contents of the reviews, as well as paying attention to what aspects are highlighted by customers. The research was conducted using deep learning, data collection using web scrapping techniques with the Python-based Selenium tool, data obtained for 2065 reviews consisting of 1955 Google review data and 110 TripAdvisor data. The aspects discussed are service quality, food quality, environment and price using the Artificial Neural Network (ANN) algorithm with word weighting using TF-IDF. Implementation of dataset imbalance, random undersampling technique applied. Hyperparameter tuning was done via the GridsearchCV function from the scikit-learn library. The model testing results were evaluated using a confusion matrix, producing an accuracy value of 89%. Next, a negative review ranking process was carried out to identify the negative reviews most frequently given by customers and the aspects that accompany them.
Analisis Sentimen Pengguna Terhadap Faktor Penggunaan PayPal Menggunakan Metode Decision Tree Maharani, Maharani; Fathoni, Fathoni
Jurnal Ilmiah Teknologi Informasi Asia Vol 18 No 1 (2024): Volume 18 Nomor 1 (8)
Publisher : LP2M Institut Teknologi dan Bisnis ASIA Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jitika.v18i1.1002

Abstract

PayPal, dompet digital dengan 429 juta pengguna global, tidak termasuk dompet digital yang umum digunakan di Indonesia sehingga perlu analisis sentimen masyarakat Indonesia terhadap layanan PayPal. Tujuan penelitian ini adalah untuk mengetahui sentimen masyarakat Indonesia terhadap PayPal berdasarkan teori bauran pemasaran 4P dan dapat menjadi referensi untuk peningkatan daya saing di Indonesia. Penelitian ini menggunakan model Decision Tree dengan kriteria gain ratio, information gain, dan gini index serta pengujian K-Fold Cross Validation menggunakan nilai fold=2, 3, 4, dan 5 untuk memproses 20.000 data ulasan Google Play Store. Hasilnya menunjukkan akurasi tertinggi pada pengujian 5-Fold Cross Validation dengan kriteria gain ratio memprediksi sentimen negatif terhadap aspek produk (97,33%), harga (99,68%), dan tempat (96,72%). Hal ini memberi PayPal peluang untuk memperbaiki kualitas ketiga aspek ini. Sementara itu, prediksi sentimen positif terhadap aspek promosi sebesar 62,18%, menandakan bahwa layanan promosi PayPal telah dinilai cukup baik.
Analisis Sentimen Tiktok Shop Menggunakan Metode Multinomial Naïve Bayes Dan BM25 Yasin, Andrew Arjunanda; Prasetya, Dwi Arman; Fahrudin, Tresna Maulana
Jurnal Ilmiah Teknologi Informasi Asia Vol 18 No 2 (2024): Volume 18 nomor 2 2024 (8)
Publisher : LP2M Institut Teknologi dan Bisnis ASIA Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In the current digital era, TikTok has emerged as a popular application among internet users. One prominent feature is the TikTok Shop, which allows users to shop directly through the platform. However, on October 4, 2023, TikTok Shop was temporarily suspended by the government due to online trade regulation policies. After reopening on December 12, 2023, various responses from the public emerged in reaction to this phenomenon. This research conducted sentiment analysis on TikTok Shop by observing public responses on Twitter using the Multinomial Naïve Bayes classification method with word weighting using the BM25 and TF-IDF methods. The analysis results showed a majority of positive sentiment regarding TikTok Shop, indicating disapproval of the previous closure policy. In testing with a 10% test sample size, BM25 showed slightly better performance than TF-IDF.
Analisis Sentimen Penggunaan Galon BPA Menggunakan Seleksi Fitur Chi-Square Dan Algoritma Support Vector Machine Aurelia, Cenditya Ayu; Trimono, Trimono; Mas Diyasa, I Gede Susrama Susrama
Jurnal Ilmiah Teknologi Informasi Asia Vol 18 No 2 (2024): Volume 18 nomor 2 2024 (8)
Publisher : LP2M Institut Teknologi dan Bisnis ASIA Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Air Minum Dalam Kemasan (AMDK) menjadi elemen utama bagi keseimbangan tubuh. Adanya berita tentang bahaya galon yang mengandung BPA menimbulkan kekhawatiran di masyarakat terutama di platform media sosial Twitter sehingga menimbulkan keresahan masyarakat terhadap dampak negatif yang disebabkan dari penggunaan galon BPA. Hal tersebut menciptakan perdebatan antara dua pihak yang terdiri dari masyarakat yang mendukung penggunaan galon BPA dan masyarakat yang mendukung penggunaan galon non-BPA dari produk air minum tertentu. Penelitian ini melakukan analisis sentimen untuk mengelompokkan pendapat masyarakat terkait penggunaan galon menggunakan algoritma Support Vector Machine dan seleksi fitur Chi-Square. Hasil dari penelitian menunjukkan bahwa penerapan seleksi fitur Chi-Square meningkatkan akurasi hingga 0.95 pada kernel Linear dan RBF dengan 239 prediksi yang tepat dan 13 prediksi yang tidak tepat

Page 24 of 27 | Total Record : 264

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