JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika)
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CRYPTO NARRATIVES SENTIMENT ANALYSIS ON BITCOIN PRICE PREDICTION USING THE NAIVE BAYES METHOD
Full text linkGlobalization affects many aspects of human life with consequences that may be positive or negative. Advances in information technology, which significantly assist many human activities, are one of the ele-ments affected. As a new product of financial technology, cryptocur-rency has revolutionized the global payment system. Bitcoin has expe-rienced significant price increases in recent years, often caused by eco-nomic and psychological market factors. Sentiment analysis of the bitcoin crypto narrative is essential for understanding market behavior and predicting price trends because market sentiment has been proven to influence bitcoin price movements. Therefore, this research aims to investigate the crypto sentiment narrative regarding Bitcoin price movements using a sentiment analysis approach with the Naïve Bayes classification method. The dataset used in this research comes from crypto narratives that are considered to influence bitcoin price move-ments, which were collected from October 2022 to April 2024. This re-search succeeded in classifying the data tested using 10-fold cross-validation testing, with an average of 76.13%. The precision score for the positive opinion class was 63.92%, and the precision score for the negative opinion class reached 81.77%. The average recall value for the positive class was 61.69%, and for the negative class, it reached 83.12%. This data shows that Naïve Bayes is quite good at analyzing crypto sentiment narratives regarding bitcoin price movements
Effectiveness of Word2Vec and TF-IDF in Sentiment Classification on Online Investment Platforms Using Support Vector Machine
Full text linkInvesting in Indonesia is increasingly popular, especially among the millennial generation. investments such as deposits, gold, stocks, and online investment applications are increasingly in demand. This research focuses on the sentiment classification of user reviews of the Nanovest online investment application on the Google Play Store using the Support Vector Machine (SVM) method. SVM is used because it can classify opinions into positive and negative sentiment classes with good accuracy, by evaluating how effective Word2Vec features extraction that can convert words in a text into numerical vectors and TF-IDF that is capable of high-dimensional word weighting and TF-IDF Weighted Word2Vec combination features to produce richer vector representations. Tests were conducted using four SVM kernels namely Linear, Polynomial, RBF, and Sigmoid. The results show that Word2Vec with RBF kernel and 300 vector size produces the highest accuracy of 95.46%, the combination of TF-IDF Weighted Word2Vec also gives good performance with 95.29% accuracy on RBF kernel. However, TF-IDF alone resulted in the lowest accuracy of 93.31% on the Sigmoid kernel. This research shows that Word2Vec and combined feature extraction methods are effective in improving sentiment classification performance compared to TF-IDF
PENGEMBANGAN ALAT FORENSIK WHATSAPP MENGGUNAKAN ANDROID DEBUG BRIDGE SEBAGAI METODE AKUISISI DATA
Full text linkWhatsApp adalah aplikasi pesan instan yang banyak digunakan yang, selain memudahkan komunikasi, juga menjadi sarana untuk aktivitas kriminal. Oleh karena itu, dibutuhkan alat forensik khusus yang dirancang untuk WhatsApp pada smartphone Android untuk menghasilkan bukti digital yang kuat untuk kasus pengadilan. Alat ini dikembangkan melalui proses yang meliputi analisis, desain, pengkodean, pengujian, dan pemeliharaan. Dengan memanfaatkan Android Debug Bridge (ADB), aplikasi yang dihasilkan dapat mengakses data forensik penting seperti kunci enkripsi, database msgstore.db yang terenkripsi (versi crypt12 dan crypt14), dan berbagai file media WhatsApp seperti audio, video, gambar, catatan suara, dan data stiker. Setelah diuji coba pada sembilan merek smartphone yang berbeda, aplikasi ini mencapai tingkat keberhasilan 80%, menunjukkan efektivitasnya sebagai peningkatan yang signifikan dalam alat forensik digital untuk perangkat Android. Alat ini memberikan para analis forensik sarana yang kuat untuk memperoleh dan menangani bukti digital dalam kasus tertentu, khususnya meningkatkan kemampuan pemeriksa forensik digital mobile
Perancangan IoT Monitoring Lingkungan Berbasis Wireless Sensor Network (WSN) Dengan Menerapkan Multi Sensor Network (MSN)
Full text linkMakalah ini menerapkan IoT berbasis Wireless Sensor Network sebagai pemantauan lingkungan yang juga menerapkan sistem Multi Sensor Network yang dapat diakses secara real-time . Sistem penelitian ini dirancang dengan menggunakan perangkat elektronik berupa modul sensor DHT22 sebagai sensor suhu dan kelembaban, modul sensor MQ135 sebagai sensor gas, modul Flame Sensor sebagai pendeteksi api, modul sensor SW420 untuk mendeteksi adanya getaran, modul Raindrops Sensor sebagai sensor curah hujan untuk mendeteksi adanya hujan. , serta papan ESP32 sebagai mikrokontroler pengontrol pada program. Pada penelitian ini metode yang digunakan adalah Penelitian dan Pengembangan dengan merancang membangun perangkat Jaringan Sensor Nirkabel sebagai perangkat pemantauan lingkungan dengan membaca menggunakan beberapa sensor secara real-time menggunakan jaringan internet. Kinerja dari sensor tersebut adalah mengumpulkan data di lingkungan sekitar dan dikirimkan ke mikrokontroler serta akan ditampilkan melalui aplikasi Blynk IoT. Penelitian ini diharapkan dapat membantu dalam pemantauan kondisi lingkungan secara efisien dan efektif, memberikan data yang akurat dan dapat diandalkan untuk analisis lebih lanjut
THE RELATIONSHIP BETWEEN THE USE OF GAMES AND STUDENT LEARNING MOTIVATION AT SMAN 2 SIDOARJO
No full textHigh school students today are in a time when someone is experiencing changes within themselves. During the transition to adulthood, students are influenced by external factors that can lead them to be swayed by their environment, such as playing games. Students who have a high intensity of playing games may trigger a decrease in their learning moti-vation. The decrease in learning motivation among high school students is caused by several factors, including issues at school and relationships with parents and peers. The purpose of this research is to determine the relationship between game usage and learning motivation among stu-dents at SMA Negeri 2 Sidoarjo. This research is a non-experimental quantitative study, with a correlational research design using a cross-sectional approach. The respondents of the study consisted of 130 stu-dents from SMA Negeri 2 Sidoarjo, selected using purposive sampling technique. The data collection method used was a questionnaire. The analysis method used was Kendall's tau. The research results indicate that there is a relationship between game usage and learning motivation among students at SMA Negeri 2 Sidoarjo. The analysis results using the Kendall's tau test showed a p-value = 0.000, which means p-value < 0.05. The correlation coefficient value or r-value = -743 indicates a strong negative correlation, meaning that the higher the game usage, the lower the learning motivation among students. It can be concluded that there is a relationship between game usage and learning motivation among students at SMA Negeri 2 Sidoarj
Penerapan IT Strategic Alignment dan IT Governance untuk Mengukur Kematangan Helpdesk Layanan TI
Full text linkPenelitian ini bertujuan untuk mengukur kematangan Helpdesk Layanan TI pada Diskominfo Kabupaten XYZ melalui penerapan IT Strategic Alignment dan IT Governance. Masalah utama yang diteliti adalah rendahnya efektivitas dan efisiensi Helpdesk Layanan TI, yang berpotensi menghambat kelancaran operasional dan pelayanan publik. Metode yang digunakan melibatkan analisis IT Strategic Alignment untuk memastikan bahwa strategi TI selaras dengan tujuan organisasi, serta penerapan kerangka kerja IT Governance untuk menilai dan meningkatkan kematangan layanan. Penelitian ini menggunakan pendekatan deskriptif dengan pendekatan studi kasus untuk mengevaluasi tingkat kematangan Helpdesk Layanan TI pada Diskominfo Kabupaten XYZ. Tujuan penelitian adalah untuk mendapatkan gambaran tingkat kematangan Helpdesk Layanan TI saat ini, serta memberikan rekomendasi strategis untuk peningkatan layanan. Hasil sementara menunjukkan bahwa tingkat kematangan Helpdesk Layanan TI Diskominfo Kabupaten XYZ berada pada level 2 dari skala 5, yang menunjukkan bahwa proses masih belum memiliki struktur dan prosedur yang solid, dan operasionalnya lebih bersifat mendadak dan berdasarkan kebutuhan saat itu. Temuan ini menekankan perlunya peningkatan dalam pengelolaan TI, termasuk pengembangan prosedur standar operasional, pelatihan staf, dan peningkatan teknologi pendukung. Penelitian ini diharapkan dapat memberikan wawasan yang bermanfaat bagi pengambil keputusan dalam upaya peningkatan Helpdesk Layanan TI di sektor publik, khususnya di Diskominfo Kabupaten XYZ
ANALYZING TEMPEARTURE ANOMALIES IN MONITORING DATA USING CONVOLUTIONAL NEURAL NETWORK
Full text linkTemperature is a tool that shows the degree or measure of how hot or cold an object is. Incorrect temperature measurement can be fatal and cause various problems. Abnormal temperatures can prevent the temperature detection system from running optimally. Therefore, it is necessary to classify temperatures into normal and anomalous. Machine learning can be used as an alternative for temperature classification. By utilizing machine learning methods, one of which is Convolutional Neural Network. 3688569 temperature data were tested, dividing the results into 80% training data and 20% testing data. Accuracy, Precision, Recall, and F1 Score get a score of 100% and the CNN model graph is very good
OPTIMASI NILAI IMPERCEPTIBILITY PADA WATERMARKING CITRA WARNA BERBASIS DCT-DWT
Full text linkTeknik penyisipan watermark telah banyak digunakan untuk melindungi hak cipta, proses authentikasi maupun tamper detection. Terdapat dua jenis watermark berdasarkan tingkat persepsi visualnya, yakni visible watermark dan invisible watermark. Tantangan terbesar dari invisible watermark adalah mempertahankan tingkat imperceptibility namun tetap menjamin keamanan watermark dari berbagai serangan. Tujuan dari penelitian ini adalah untuk menghasilkan skema watermarking citra warna yang memiliki imperceptibility yang tinggi pada basis DCT DWT. Metode DWT dikenal memilki performa yang baik dalam invisible watermark. Untuk itu Chanel blue dipilih sebagai area penyisipan watermark karena mata manusia kurang sensitive terhadap warna ini. Untuk meningkatkan keamanan, skema yang diusulkan menggunakan transformasi Arnold untuk mengacak watermark. Skema watermark yang diusulkan dapat menghasilkan imperceptibility yang cukup tinggi, yakni dengan nilai PSNR sebesar 43.786 dB. Nilai NC yang dihasilkan dalam skema ini sebesar 0.985 menunjukkan bahwa skema watermark mampu bertahan dari beberapa serangan. Akan tetapi skema ini kurang tahan terhadap serangan salt pepper serta cropping
COMPARATIVE ANALYSIS OF ANDROID-BASED ONLINE TRANSPORTATION APPLICATION SECURITY USING MOBILE SECURITY FRAMEWORK (MOBSF)
No full textOnline transportation is a service provided over the internet, representing a technological innovation that has significantly facilitated travel for Indonesians. These applications have gained widespread adoption in Indonesia, serving as alternatives to conventional transport modes like taxis and traditional motorcycle taxis. They offer convenience and speed in booking rides, along with secure transactions through digital payment systems. Despite the user-friendly experience and advantages offered by these applications, their security cannot be overlooked. The increasing accessibility of Android-based online transportation applications has made them a prime target for malicious actors ("Crackers") who may exploit vulnerabilities for nefarious purposes. This research aims to identify security vulnerabilities and compare the security found in Android-based online transportation applications. The researcher utilized the Mobile Security Framework (MobSF) to conduct static security analysis focusing on parameters such as dangerous permissions, weak cryptography, root detection, SSL bypass, and domain malware checks. The security assessments of Gojek, Maxim, and Grab revealed moderate security risks. Gojek scored 44/100, Maxim 47/100, and Grab 50/100 in terms of security ratings. All three applications were found to have vulnerabilities related to dangerous permissions and weak cryptography. Specifically, Maxim was also susceptible to SSL bypass attacks. None of the applications had implemented root detection, but their domain malware checks were deemed satisfactory
Implementation of QR Code in A Student Attendance Information Based On WhatsApp Gateway
No full textThe attendance information system at Senior High School 7 Sigi, still uses a manual attendance system, namely writing on paper sheets. The problem that often occurs is the loss of student attendance books which causes the school to have difficulty in recapitulating attendance and also reporting attendance to parents. Another problem that occurs due to manual attendance is that parents cannot directly monitor their children's attendance at school which causes some students to skip school. The recommended solution is to use an attendance information system by utilizing QR Code technology so that student attendance is more practical and also the data storage is much safer. WhatsApp Gateway is used as a monitoring medium for parents because this system will send notifications via the WhatsApp application every time the lesson starts, effectively and in real-time. This attendance system uses the Waterfall method which starts from the planning, analysis, design and implementation stage