cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
Kota adm. jakarta pusat,
Dki jakarta
INDONESIA
IKRA-ITH Informatika : Jurnal Komputer dan Informatika
Published by Universitas Persada Indonesia YAI
ISSN : 25804316     EISSN : 26548054     DOI : -
Core Subject : Science,
Computer Science & IT
Arjuna Subject : -
Articles 504 Documents
 47   48   49   50   51 
PENGARUH HARGA DAN ONLINE CUSTOMER RIVIEW TERHADAP KEPUTUSAN PEMBELIAN MELALUI MINAT BELI PADA PRODUK KERAJINAN ANYAMAN Desi Desi; Yulianingsih Yulianingsih; Palahudin Palahudin
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 10 No. 2 (2026): IKRAITH-INFORMATIKA Vol 10 No 2 Juli 2026
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

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

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh harga dan online customer review terhadap keputusan pembelian melalui minat beli pada konsumen produk kerajinan Du'Anyam. Penelitian menggunakan pendekatan kuantitatif dengan melibatkan 210 responden yang dipilih menggunakan teknik purposive sampling. Data dianalisis menggunakan Structural Equation Modeling–Partial Least Squares (SEM-PLS). Hasil penelitian menunjukkan bahwa harga dan online customer review berpengaruh positif dan signifikan terhadap minat beli maupun keputusan pembelian. Selain itu, minat beli berpengaruh positif terhadap keputusan pembelian serta terbukti memediasi pengaruh harga dan online customer review terhadap keputusan pembelian. Temuan ini menunjukkan bahwa peningkatan persepsi harga yang sesuai dan ulasan pelanggan yang positif mampu meningkatkan minat beli, yang pada akhirnya mendorong keputusan pembelian pada produk kerajinan Du'Anyam. Penelitian ini memberikan implikasi praktis bagi pengelola usaha kerajinan dalam mengoptimalkan strategi penetapan harga dan pengelolaan online customer review untuk meningkatkan keputusan pembelian konsumen.
RANCANG BANGUN APLIKASI AL-QUR’AN MOBILE BERBASIS FLUTTER DENGAN FITUR MULTI MARKAH BACAAN DAN CATATAN Muhammad Sutan Fathir; Jajam Haerul Jaman; Garno Garno
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 10 No. 2 (2026): IKRAITH-INFORMATIKA Vol 10 No 2 Juli 2026
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37817/ikraith-informatika.v10i2.7227

Abstract

The rapid development of mobile technology has encouraged the emergence of various digital Qur'an applications that facilitate users in reading the Qur'an. However, most existing applications still implement a single last read feature, allowing users to save only one reading position and lacking a note feature for each saved reading position. This limitation creates difficulties for users who engage in multiple reading activities, such as tilawah (Qur'an recitation), hifz (memorization), and study sessions. This study aims to design and develop a Flutter-based mobile Qur'an application featuring Multi Last Read and Notes to improve the flexibility of managing Qur'an reading activities. The research employed the Research and Development (R&D) method, while the system was developed using the Software Development Life Cycle (SDLC) with the Waterfall model. System testing was conducted using Black Box Testing, White Box Testing, and User Acceptance Testing (UAT) involving 30 respondents selected through a purposive sampling technique. The results indicate that the application successfully implements the Multi Last Read feature, enabling users to save multiple reading positions based on different categories and add notes to each saved reading position. The Black Box Testing results demonstrate that all application functions operate according to the specified functional requirements, while the White Box Testing results confirm that the program logic satisfies the Cyclomatic Complexity and independent path analyses. Furthermore, the UAT results achieved a user acceptance rate of 97.79%, which falls into the Excellent category. Therefore, the developed application provides a more flexible, well-organized, and personalized Qur'an reading experience that meets users' needs.
Rancang Bangun Aplikasi Rental Kostum Cosplay Dnrei Berbasis Web Menggunakan Framework Codeigniter Annastia Reza Dzulhaj; Didi Juardi; Asep Jamaludin
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 10 No. 2 (2026): IKRAITH-INFORMATIKA Vol 10 No 2 Juli 2026
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37817/ikraith-informatika.v10i2.7233

Abstract

The cosplay costume rental industry in Indonesia faces significant operational challenges due to its reliance on manual methods via WhatsApp and Instagram. Dnrei Cosplay Costume Rental, which has been operating since 2019, experiences problems including slow order responses, inaccurate stock information, and inefficient transaction recording. This study aims to design and build a web-based application to address these issues using the CodeIgniter framework with the System Development Life Cycle (SDLC) Prototype methodology. The system integrates features for real-time costume availability checking, online ordering, an interactive rental schedule calendar, admin inventory management, and digital payment through the Midtrans payment gateway with a MySQL database. Testing was conducted through Black Box Testing and User Acceptance Testing (UAT) involving ten respondents. Black Box Testing results confirmed that all system functionalities performed as expected, while UAT produced an average satisfaction score of 91.6%. Comparative evaluation demonstrated that system implementation successfully reduced costume availability checking time from 10—15 minutes to less than one minute. This system is proven to measurably improve operational efficiency and overall customer experience at Dnrei Cosplay Costume Rental.
Implementasi Sistem Informasi Geografis Berbasis Web untuk Mitigasi Bencana Alam Kabupaten Bandung Arief Ginanjar; Bintang Rizqia; Febby Juwita Hizriani; Radinda Putri Salsabila; Dieka Septiani Safitri
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 10 No. 2 (2026): IKRAITH-INFORMATIKA Vol 10 No 2 Juli 2026
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37817/ikraith-informatika.v10i2.7241

Abstract

Bandung Regency is one of the regions in West Java Province that is highly vulnerable tonatural disasters, particularly floods, landslides, and earthquakes. Limited access to disasterinformation often makes it difficult for the public and related stakeholders to obtainaccurate and timely spatial information to support disaster mitigation efforts. This studyaims to implement a web-based Geographic Information System (GIS) for mapping disasterlocations and supporting disaster mitigation in Bandung Regency. The research employedan engineering research approach using the Agile Development methodology, whichincludes problem identification, data collection, system design, implementation, testing,and evaluation. The developed system integrates spatial and attribute data and presentsthem through an interactive digital map. The results indicate that the system is capable ofproviding information on disaster locations, risk levels, evacuation shelters, criticalfacilities, logistics distribution, and route navigation to the nearest location. Furthermore,the system provides different access levels for administrators and general users, enablingstructured data management and efficient information dissemination. The implementationof the web-based GIS is expected to support decision-making, improve public access todisaster information, and enhance community preparedness for disaster mitigation inBandung Regency.
Ketahanan Model Machine Learning terhadap Ketidaklengkapan Data Survei untuk Prediksi Kinerja Akademik Intra Swadaya Hidayat; Yarza Afrizal; Rendy Almaheri Adhi Pratama; Muhammad Jhonsen Syaftriandi
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 10 No. 2 (2026): IKRAITH-INFORMATIKA Vol 10 No 2 Juli 2026
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

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

Abstract

Survey-based prediction models are commonly evaluated on complete responses, although missingness can occur randomly or structurally. This study examines when survey information remains sufficient to predict self-reported changes in academic performance using a public dataset of 361 responses, 28 predictors, and three imbalanced classes. Three feature configurations—all predictors (F1), predictors excluding three high-risk proxy items (F2), and contextual predictors only (F3)—were evaluated with CatBoost using five-times repeated stratified five-fold cross-validation. Baseline Macro F1 was 0.414±0.047, 0.384±0.042, and 0.351±0.046 for F1, F2, and F3, respectively. Recall for the decreased class was only 0.023 for F1 and 0.010 for both F2 and F3, indicating inadequate absolute performance for identifying at-risk students. For F2, 50% random item loss retained 94.8% of baseline Macro F1 under test-time missingness and 97.7% when both training and test data were incomplete. In contrast, monotone dropout with only the first 50% or 25% of items observed reduced retention to 79.3% and 78.8% (Holm-adjusted p<0.001). Thus, relative information sufficiency depends on the missingness pattern, but high retention does not imply deployability when baseline performance is weak and the minority class is nearly undetected.
Analisis Sentimen Ulasan Aplikasi Threads Pada Google Play Store Menggunakan Algoritma Support Vector Machine Sabar Rendy Samuel Silalahi; Garno Garno; Iqbal Maulana
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 10 No. 2 (2026): IKRAITH-INFORMATIKA Vol 10 No 2 Juli 2026
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37817/ikraith-informatika.v10i2.7255

Abstract

On the Google Play Store platform, there is a review section for each app containing users' opinions and experiences when using an app. These user reviews can be used as a basis for evaluating the quality of an app’s service; however, the large number of reviews makes it difficult for developers to analyze them manually. Threads, a social media app that provides a means of communication and entertainment created by Meta, has received many reviews from its users. This study analyzes user sentiment toward the Threads app through review classification to identify positive and negative opinions. A total of 1,808 user review data for the Threads app was collected as research data, consisting of 961 positive data and 847 negative data. Sentiment labeling will be done using the AI Copilot tool. The data will go through several stages, including data selection, data cleaning, data normalization, and word weighting using the TF-IDF method before performing data mining using the Support Vector Machine (SVM) algorithm. The test results showed that the model built was able to classify sentiment with an accuracy rate of 93.03% on an 80:20 train-test data split using the rbf kernel. In the Word Cloud, positive sentiments were dominated by words related to users’ appreciation for the Threads app services, while negative sentiments were dominated by users’ complaints about the suspension system and features in the Threads app. These research results indicate that the method used is capable of identifying user opinions and can be used as a basis for evaluating improvements in app service quality.
Sistem Pakar Deteksi Kesehatan Mental Remaja Akibat Bullying Dengan Pendekatan Algoritma Forward Chaining Rima Melati; Ranny Meilisa
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 10 No. 2 (2026): IKRAITH-INFORMATIKA Vol 10 No 2 Juli 2026
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37817/ikraith-informatika.v10i2.7256

Abstract

Bullying is a critical issue among school adolescents that significantly impacts mental health, ranging from stress and anxiety to depression. Data from Riskesdas (2018) recorded that over 19 million Indonesians suffer from emotional mental disorders, while a 2022 survey indicated that more than 95% of adolescents have experienced symptoms of anxiety and depression. This situation highlights the urgency of early detection of mental health issues in bullying victims. This study aims to develop an expert system for detecting adolescent mental health conditions resulting from bullying using the Forward Chaining algorithm. This algorithm was selected for its ability to derive diagnostic conclusions based on the symptom facts experienced by students. A case study was conducted at SMK Jakarta Timur 2, involving students and guidance and counseling teachers as data sources and validators. The research employs an applied research method with a software engineering approach using the Waterfall model. Data were collected through literature review, questionnaires, and interviews, then formulated into IF–THEN rules for the system's knowledge base. The system was tested using black-box testing and validated by experts (guidance teachers/psychologists). The result of this research is an accurate computer-based expert system application, expected to contribute to the field of educational psychology and provide practical benefits for schools in the early detection of the psychological impacts of bullying on adolescents.
Penerapan Metode K-Means pada Pengelompokan Persebaran Kasus Diabetes Mellitus di Kecamatan Kersana Muhumatul Ifadah Ifadah; Agyztia Premana; Nur Ariesanto Ramdhan
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 10 No. 2 (2026): IKRAITH-INFORMATIKA Vol 10 No 2 Juli 2026
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37817/ikraith-informatika.v10i2.7257

Abstract

Diabetes Mellitus is a non-communicable disease that requires attention in public health prevention and control efforts. The distribution of cases varies across villages, requiring an analytical method to identify regional groups based on case levels. This study aims to apply the K-Means Clustering method to classify the distribution of Diabetes Mellitus cases in 13 villages in Kersana District. The data consist of 365 cases, comprising 82 male cases and 283 female cases. This study uses a descriptive quantitative approach, with the total number of Diabetes Mellitus cases as the main clustering variable, while gender data are used as supporting descriptive information. The clustering process divides the villages into three clusters: low, medium, and high. The results show that the low-level cluster consists of 9 villages with an average of 15.33 cases, the medium-level cluster consists of 2 villages with an average of 36 cases, and the high-level cluster consists of 2 villages with an average of 77.50 cases. Limbangan and Kradenan are categorized as high-level areas, Cikandang and Kersana as medium-level areas, while Cigedog, Kubangpari, Ciampel, Jagapura, Sutamaja, Kemukten, Sindangjaya, Pande, and Keramatsampang are categorized as low-level areas. The evaluation using the Silhouette Score resulted in a value of 0.690, indicating a reasonably good cluster structure. The results demonstrate that K-Means can help identify regional groups based on Diabetes Mellitus case levels and provide supporting information for prioritizing health monitoring and planning health programs.
Penerapan TOPSIS Multi-Kriteria untuk Pemilihan Motor Bekas Layak Jual Kembali Berdasarkan Multi-Kriteria Mohammad Umar Sasongko; Otong Saeful Bachri; Nur Ariesanto Ramdhan
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 10 No. 2 (2026): IKRAITH-INFORMATIKA Vol 10 No 2 Juli 2026
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37817/ikraith-informatika.v10i2.7265

Abstract

Selecting used motorcycles for resale inventory requires an objective assessment because each unit differs in price, age, mileage, engine capacity, type, and transmission. This study applies the multi-criteria Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to prioritize used motorcycles suitable for resale. The dataset comprises 199 sales transactions recorded by Cahaya Emas Motor Showroom in 2025. Six criteria were evaluated: price, production year, odometer, engine capacity, motorcycle type, and transmission. Price and odometer were treated as cost criteria, while the remaining criteria were treated as benefit criteria. Their respective weights were 0.25, 0.20, 0.25, 0.10, 0.10, and 0.10. The calculation covered decision-matrix construction, normalization, weighting, determination of positive and negative ideal solutions, distance calculation, and preference scoring. The results placed a 2017 Honda Supra-X 125 first with a preference value of 0.89310533, followed by a Yamaha Vixion at 0.88259345 and a Honda Revo at 0.87931174. The findings indicate that favorable price and mileage profiles can offset differences in production year, engine capacity, type, and transmission when assessing resale suitability.
Pengembangan Framework Autonomous Cyber Defense Berbasis Deep Reinforcement Learning untuk Mitigasi Serangan (DDoS) Secara Adaptif Asnefi Asnefi
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 10 No. 1 (2026): IKRAITH-INFORMATIKA Vol 10 No 1 Maret 2026
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37817/ikraith-informatika.v10i1.7269

Abstract

Kompleksitas serangan Distributed Denial of Service (DDoS) yang kian dinamis memicu kegagalan sistem proteksi konvensional berbasis parameter statis. Menjawab tantangan tersebut, penelitian ini merancang arsitektur pertahanan siber mandiri (Autonomous Cyber Defense) berbasis kecerdasan buatan untuk mereduksi dampak serangan secara real-time. Melalui implementasi Deep Reinforcement Learning (DRL) dengan algoritma Deep Q-Network (DQN), agen cerdas dilatih untuk mengeksekusi tindakan mitigasi, seperti membuang paket (drop packet) atau membatasi laju data (rate limiting), berdasarkan fluktuasi metrik jaringan, seperti entropi IP dan laju paket. Pengujian menggunakan instrumen simulasi dan basis data serangan CICIDS2019 menunjukkan efektivitas model dengan tingkat akurasi identifikasi ancaman sebesar 94,5%. Sistem ini terbukti mampu memotong volume lalu lintas anomali hingga 85% sekaligus mempertahankan stabilitas akses bagi pengguna yang sah.

Page 50 of 51 | Total Record : 504

 47   48   49   50   51 

Filter by Year

2017 2026


Reset
Filter By Issues
All Issue Vol. 10 No. 2 (2026): IKRAITH-INFORMATIKA Vol 10 No 2 Juli 2026 Vol. 10 No. 1 (2026): IKRAITH-INFORMATIKA Vol 10 No 1 Maret 2026 Vol. 9 No. 3 (2025): IKRAITH-INFORMATIKA Vol 9 No 3 November 2025 Vol. 9 No. 2 (2025): IKRAITH-INFORMATIKA Vol 9 No 2 Juli 2025 Vol. 9 No. 1 (2025): IKRAITH-INFORMATIKA Vol 9 No 1 Maret 2025 Vol. 8 No. 3 (2024): IKRAITH-INFORMATIKA Vol 8 No 3 November 2024 Vol. 8 No. 2 (2024): IKRAITH-INFORMATIKA Vol 8 No 2 Juli 2024 Vol. 8 No. 1 (2024): IKRAITH-INFORMATIKA Vol 8 No 1 Maret 2024 Vol. 7 No. 3 (2023): IKRAITH-INFORMATIKA Vol 7 No 3 November 2023 Vol 7 No 2 (2023): IKRAITH-INFORMATIKA Vol 7 No 2 Juli 2023 Vol 7 No 1 (2023): IKRAITH-INFORMATIKA Vol 7 No 1 Maret 2023 Vol 6 No 3 (2022): IKRAITH-INFORMATIKA Vol 6 No 3 November 2022 Vol 6 No 2 (2022): IKRAITH-INFORMATIKA Vol 6 No 2 Juli 2022 Vol 6 No 1 (2022): IKRAITH-INFORMATIKA Vol 6 No 1 Maret 2022 Vol 5 No 3 (2021): IKRAITH-INFORMATIKA Vol 5 No 3 November 2021 Vol 4 No 2 (2020): IKRAITH-INFORMATIKA Vol 4 No 2 Bulan Juli 2020 Vol 4 No 1 (2020): IKRAITH-INFORMATIKA Vol 4 No 1 Bulan Maret 2020 Vol 3 No 3 (2019): IKRAITH-INFORMATIKA Vol 3 No 3 Bulan November 2019 Vol 3 No 2 (2019): IKRA-ITH INFORMATIKA Vol 3 No 2 Bulan Juli 2019 Vol 3 No 1 (2019): IKRA-ITH INFORMATIKA Vol 3 No 1 Bulan Maret 2019 Vol 3 No 2 (2019): IKRA-ITH INFORMATIKA Vol 3 No 2 Bulan Juli 2019 Vol 2 No 3 (2018): IKRA-ITH INFORMATIKA Vol 2 No 3 Bulan November 2018 Vol 2 No 3 (2018): IKRA-ITH INFORMATIKA Vol 2 No 3 Bulan November 2018 Vol 2 No 2 (2018): IKRAITH INFORMATIKA VOL 2 NO 2 Juli 2018 Vol 2 No 1 (2018): IKRAITH-INFORMATIKA vol 2 Nomor 1 Bulan Maret 2018 Vol 1 No 2 (2017): IKRAITH-INFORMATIKA vol 1 Nomor 2 Bulan November 2017 Vol 1 No 2 (2017): IKRAITH-INFORMATIKA vol 1 Nomor 2 Bulan November 2017 Vol 1 No 1 (2017): IKRAITH-INFORMATIKA vol 1 Nomor 1 Bulan Juli 2017 More Issue