Jurnal Rekayasa Perangkat Lunak
Jurnal Rekayasa Perangkat Lunak (J-Rapa) is a student scientific journal that was built with the aim of publishing articles dedicated to scientific development in the field of Software Engineering. Articles can be in the form of conceptual thoughts, ideas, innovations, creativity, best practices, book reviews and the results of research that has been done.
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23 Documents
<![CDATA[DATA MINING UNTUK MENENTUKAN KELOMPOK KELAS UNGGULAN MENGGUNAKAN ALGORITMA K-MEANS CLUSTERING PADA SEKOLAH (STUDI KASUS:SMKN SUKOHARJO) ]]>
<![CDATA[Fitria Yulia, Aviv]]>
<![CDATA[ Jurnal Rekayasa Perangkat Lunak Vol. 2 No. 1 (2023): Jurnal Rekayasa Perangkat Lunak (J-Rapa) ]]>
Publisher : <![CDATA[Universitas Aisyah Pringsewu ]]>
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DOI: 10.30604/j-rapa.v2i1.1123
<![CDATA[untuk meningkatkan mutupendidikan melalui layanan pembelajaran dan mutu siswa maka dilakukan pembentukan kelompok belajar siswa dalam kelas sesuai dengan kriteria-kriteria siswa.Hal ini dilakukan pada saat siswa menginjak di semester 3 Maka akan di Bagi Data siswa dikelompokkan menjadi kelompok siswa kelas unggulan.Dalam penentuan kelas unggulan maka di perlukan kriteria yaitu nilai akademik siswa menentukan siswa masuk ke kelas unggulan di dapat hasil penilaian. Dari hasil identifikasidata nilai rapot dari semester 1 sampai dengan semester 2.proses menggunakan data mining agar pengelompokan siswa di lakukan dengan tepat dan sesuai dengan apa yang di harapkan sekolah dengan kelompok siswa yang memang sesuai dengan kriteria dalam kelas unggulan.Setelah dilakukan pengujian dengan tool rapid miner , maka dapat di simpulkan sebagai berikut : Anggota cluster Kelas Unggulan memiliki 53 anggota, Anggota cluster Kelas Baik Sekali memiliki 83 anggota, Anggota cluster Kelas Baik memiliki 4 anggota dari total 140 dataset yang di uji.]]>
<![CDATA[PERANCANGAN UI/UX BERBASIS MOBILE PADA APLIKASI E-LEARNING SMARTPLUS ACADEMY MENGGUNAKAN METODE HUMAN CENTERED DESIGN ]]>
<![CDATA[Zulkifli, Zulkifli]]>;
<![CDATA[Wahyuni, Nuci]]>;
<![CDATA[Andika, Tahta Herdian]]>;
<![CDATA[Setiawan, Agustinus Eko]]>;
<![CDATA[Rizki, Fahlul]]>
<![CDATA[ Jurnal Rekayasa Perangkat Lunak Vol. 3 No. 1 (2024): Jurnal Rekayasa Perangkat Lunak (J-Rapa) ]]>
Publisher : <![CDATA[Universitas Aisyah Pringsewu ]]>
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DOI: 10.30604/j-rapa.v3i1.1571
<![CDATA[Smartplus Academy merupakan platform yang menyediakan pelatihan online berbasis kurikulum industri. Untuk memudahkan pengguna saat melakukan pembelajran online melalui smartphone, LKP Smartplus menginginkan pembuatan aplikasi mobile e-learning. Namun pihak LKP Smartplus mengalami kesulitan dalam melakukan perancangan desain aplikasi yang mudah digunakan oleh pengguna. Sehingga pada penelitian ini dilakukan perancangan UI/UX pada aplikasi Smartplus Academy dengan menerapkan metode Human Centered Design.Metode Human Centered Design adalah metode yang berfokus kepada manusia atau pengguna dalam merancang sebuah desain. Terdapat empat tahapan yaitu understand and specify the contex of use, specifying the user requirements, producing design solutions dan evaluating the design. Dalam tahap evaluating the design dilakukan pengujian usability menggunakan metode usability testing dan system usability scale, dengan mengukur tingkat effectiveness, efficiency dan satisfaction. Pengujian melibatkan 20 responden dengan memberikan 5 tugas, hasil pengujian tingkat effectiveness memperoleh 98%, efficiency 97,85% dan satisfaction 97,37%. Hasil pengujian dapat disimpulkan bahwa design user interface dan user experience aplikasi Smartplus Academy dapat digunakan secara effective dan efficient, serta dapat memberikan pengalaman yang baik kepada pengguna.]]>
<![CDATA[ANALISIS MANAGEMEN RESIKO TEKNOLOGI INFORMASI PADA WEBSITE ]]>
<![CDATA[Yana Ayu Andini, Dwi]]>;
<![CDATA[Fitria Yulia , Aviv]]>
<![CDATA[ Jurnal Rekayasa Perangkat Lunak Vol. 3 No. 1 (2024): Jurnal Rekayasa Perangkat Lunak (J-Rapa) ]]>
Publisher : <![CDATA[Universitas Aisyah Pringsewu ]]>
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DOI: 10.30604/j-rapa.v3i1.1635
<![CDATA[Pada saat ini teknologi informasi memberikan pen- garuh besar terhadap kehidupan kita, informasi digital yang saat ini berkembang adalah sistem informasi berbasis website yang telah digunakan diberbagai organisasi atau intitusi untuk mem- berikan informasi yang tepat dan bermanfaat. Peran teknologi informasi khususnya website pada suatu perusahaan ataupun instansi hal yang penting dan tidak dapat dipisahkan dari proses bisnis ataupun kegiatan dalam kelembagaan tersebut. Akan tetapi, tidak dapat dihindari pengunaan dari implementasi terse- but dapat menimbulkan risiko yang tidak diinginkan mengancam dari proses bisnis itu sendiri. Hal ini harus menjadi perhatiaan khusus demi keamanan informasi. Untuk menghindari risiko- risiko itu terjadi maka perlunya upaya pengukuran terhadap risiko teknologi informasi pada website.]]>
<![CDATA[SISTEM PAKAR MENDIAGNOSA GEJALA KEJANG DEMAM BEBASIS WEB DENGAN METODE CASE BASED REASONING ]]>
<![CDATA[Jey Fhiter Wassalam, Ockhy]]>;
<![CDATA[Alfiatul Mukaromah, Iif]]>
<![CDATA[ Jurnal Rekayasa Perangkat Lunak Vol. 3 No. 1 (2024): Jurnal Rekayasa Perangkat Lunak (J-Rapa) ]]>
Publisher : <![CDATA[Universitas Aisyah Pringsewu ]]>
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DOI: 10.30604/j-rapa.v3i1.1732
<![CDATA[Gejala kejang demam adalah bangkitan kejang yang terjadi pada anak berumur 6 bulan hingga 5 tahun yang mengalami kenaikan suhu tubuh (suhu diatas 38ºC dengan metode pengukuran suhu apapun) yang tidak disebabkan oleh proses intrakranial dan ketidakseimbangan elektrolit. Rumah Sakit Rafflesia Bengkulu merupakan salah satu fasilatas kesehatan yang ada di kota Bengkulu. Di RS Rafflesia Bengkulu, pasien demam ditemui setiap bulannya, ada yang memerlukan rawat jalan dan rawat inap. Faktor-faktor yang dapat digunakan dalam diagnosis dini demam di Rumah Sakit Rafflesia Bangkulu sebagai alat untuk membantu pasien dalam mendeteksi demam secara dini. Sistem pakar online dapat diakses melalui link URL https://sistempakarkejangdemam.my.id/ dan koneksi internet. Berdasarkan 3 (tiga) kasus yang diuji pada sistem pakar deteksi dini demam di RS Rafflesia Bengkulu, diperoleh kesimpulan bahwa penerapan sistem pakar mampu mendeteksi penyakit demam sesuai gejala yang ditunjukkan. Berdasarkan pengujian sistem yang dilakukan di Rumah Sakit Rafflesia Bengkulu sebanyak 10 responden, dapat disimpulkan bahwa dari data kasus yang ada di Rumah Sakit Rafflesia Bengkulu sebanyak 10 kasus (responden), diperoleh Gejala Kejang Demam Komplek 20% dan Gejala Kejang Demam Simplex/Sederhana sebanyak 80%.. Berdasarkan pengujian sistem yang telah dilakukan, dapat disimpulkan bahwa fungsional dari aplikasi penerapan Metode Case Based Reasoning dalam deteksi dini penyakit kejang demam (Fever Seizures Symptoms) di Rumah Sakit Rafflesia Bengkulu telah berjalan dengan baik dan dapat memberikan hasil konsultasi berdasarkan gejala yang telah dijawab oleh pasien melalui tahapan metode Metode Case Based Reasoning (CBR).]]>
<![CDATA[CLOUD-BASED HEALTHCARE: INOVASI SISTEM INFORMASI MOBILE DENGAN FIREBASE SEBAGAI CLOUD DATABASE ]]>
<![CDATA[Syaputra, Andhika]]>;
<![CDATA[Ratnasari, Ratnasari]]>
<![CDATA[ Jurnal Rekayasa Perangkat Lunak Vol. 4 No. 1 (2025): Jurnal Rekayasa Perangkat Lunak (J-Rapa) ]]>
Publisher : <![CDATA[Universitas Aisyah Pringsewu ]]>
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<![CDATA[The development of information technology has driven the transformation of information systems in various sectors, including the health sector. One technology that is now widely used is Cloud Database, which allows online data storage and management without the need for physical storage media. This study discusses the application of Cloud Database using Firebase services in the development of a mobile-based Health Center Information System. The purpose of this study is to produce an information system that can improve the efficiency of services in the Health Center, especially in supporting recording, reporting, and service activities to the community more quickly and accurately. The method used in this study is Extreme Programming (XP) which emphasizes communication, feedback, and iterative software development. This study also uses the Unified Modeling Language (UML) approach for system modeling. The results of the study indicate that the use of Firebase as a Backend as a Service (BaaS) is effective in providing stable, secure, and easily integrated real-time database services with mobile applications. The system built is expected to be an alternative solution in the development of cloud-based health information systems in the future.]]>
<![CDATA[PERBANDINGAN KINERJA ALGORITMA NAÏVE BAYES DAN DECISION TREE UNTUK PREDIKSI PENYAKIT BATU GINJAL ]]>
<![CDATA[Mukaromah, Hafsah]]>
<![CDATA[ Jurnal Rekayasa Perangkat Lunak Vol. 4 No. 1 (2025): Jurnal Rekayasa Perangkat Lunak (J-Rapa) ]]>
Publisher : <![CDATA[Universitas Aisyah Pringsewu ]]>
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<![CDATA[Kidney stones consist of calcium crystals and are mineral deposits that can form in the urinary tract. The prevalence of kidney stones is estimated to be 21.11%, with the Standard Age Prevalence in men and women being 24.3% and 18.7%, respectively. This study involved participants with an average age of 52.15 years, and a higher prevalence of kidney stones was observed in women aged 40-50 years and individuals with a moderate socioeconomic status. Logistic regression results indicate that the likelihood of kidney stones is higher in individuals with diabetes, hypertension, fatty liver, and overweight. The Basic Health Research (Riskesdas) data for the year 2013 shows the prevalence of Kidney Failure and Kidney Stones in Indonesia. Therefore, a profound understanding of the factors causing kidney stone formation is crucial. This research was conducted to compare the performance of the naive Bayes and decision tree algorithm models. Based on the experimental results, the decision tree algorithm showed a higher accuracy rate of 72.50% and an AUC value of 0.740%, while naive Bayes had an accuracy rate of 68.57% and an AUC value of 0.697. These results support the conclusion that the decision tree has better predictive performance than naive Bayes.]]>
<![CDATA[Analisis Kepuasan Pengunjung terhadap Pelayanan Wisata dengan Menggunakan Algoritma C4.5 di Lanakila, Bendungan Way Sekampung ]]>
<![CDATA[Fitria Yulia, Aviv]]>;
<![CDATA[Wasalan, Ahlan]]>;
<![CDATA[Herdian Andika, Tahta]]>
<![CDATA[ Jurnal Rekayasa Perangkat Lunak Vol. 4 No. 1 (2025): Jurnal Rekayasa Perangkat Lunak (J-Rapa) ]]>
Publisher : <![CDATA[Universitas Aisyah Pringsewu ]]>
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<![CDATA[The tourism industry's share of regional assets consists of tourist destinations that thelocals want to visit and that have the ability to make money and advance the growth of the area. Itis imperative that the quality of tourism services be preserved and enhanced. Positive remarks andrecommendations for the location are common among contented tourists. On the other hand,unhappy tourists may harm the reputation of the place and the travel sector as a whole.The research objective was to analyze visitor-level satisfaction with tourism services in Lanakilausing the C4.5 algorithm and identify the factors that most influence visitorsatisfaction. The C4.5 algorithm successfully built a prediction model to identify potentiallydissatisfied visitors.100 respondents completed the questionnaire that the researcher successfully distributed, and theaccuracy of the C4.5 model was 100.00%. Information service, staff attitude, food and beverage,and support were the four primary elements that were shown to have an impact on satisfaction,according to the analysis. With 100.00% accuracy, each of these categories was met]]>
<![CDATA[Pemodelan Artificial Neural Network Dalam Prediksi Penentu Penerima Beasiswa ]]>
<![CDATA[Septasari, Dita]]>;
<![CDATA[Isni Kurnia , Ulfa]]>
<![CDATA[ Jurnal Rekayasa Perangkat Lunak Vol. 4 No. 1 (2025): Jurnal Rekayasa Perangkat Lunak (J-Rapa) ]]>
Publisher : <![CDATA[Universitas Aisyah Pringsewu ]]>
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<![CDATA[Scholarships play a vital role in supporting high-achieving students who face financial constraints. However, the selection process is often time-consuming and prone to subjectivity. This study develops a predictive model for scholarship recipients using the Artificial Neural Network (ANN) approach to create a more efficient and objective selection system. The dataset includes academic performance, parental income, number of dependents, and non-academic achievements. The ANN model is designed through data preprocessing, training, and evaluation stages, using metrics such as accuracy, precision, recall, and F1-score. The results indicate that ANN can accurately and effectively predict scholarship recipients, making it a valuable tool to assist decision-making in scholarship distribution.]]>
<![CDATA[PENERAPAN DEEP LEARNING UNTUK PENGENALAN CITRA TULISAN TANGAN AKSARA LAMPUNG ]]>
<![CDATA[Dianing Ratri, Putri]]>;
<![CDATA[Ayu Andini, Dwi Yana]]>
<![CDATA[ Jurnal Rekayasa Perangkat Lunak Vol. 4 No. 1 (2025): Jurnal Rekayasa Perangkat Lunak (J-Rapa) ]]>
Publisher : <![CDATA[Universitas Aisyah Pringsewu ]]>
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<![CDATA[In the field of artificial intelligence, technology has opened new opportunities for preserving cultural heritage, including the Lampung script. One method that shows great potential in script recognition is Deep Learning. This research aims to develop a handwritten image recognition model for the Lampung script using deep learning methods with the ResNet- 50 architecture and transfer learning. Handwritten data of the Lampung script were collected from various sources and processed through image normalization and augmentation to improve the quality of the training data. The model was built using the ResNet-50 architecture with transfer learning, which allows the use of pre-trained models to enhance efficiency. The research results show that the model is capable of classifying 20 primary characters of the Lampung script with adequate performance. However, the study suggests further data collection and exploration of augmentation techniques to improve results. This research not only aims to enhance the recognition of the Lampung script but also contributes to efforts to preserve and introduce the Lampung script to the wider public through modern technology.]]>
<![CDATA[Data Mining untuk Klasterisasi dan Klasifikasi Pelanggan Berdasarkan Pendapatan dan Transaksi Pembelanjaan Menggunakan Algoritma K-Means ]]>
<![CDATA[AWALIYANI, IKNA]]>;
<![CDATA[Yudha Pratama, Rendy]]>
<![CDATA[ Jurnal Rekayasa Perangkat Lunak Vol. 4 No. 1 (2025): Jurnal Rekayasa Perangkat Lunak (J-Rapa) ]]>
Publisher : <![CDATA[Universitas Aisyah Pringsewu ]]>
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<![CDATA[In the era of technology and business, handling customers is very important as consumers and a significant source of marketing information. Customer evaluations have a major impact on marketing and service quality can be a benefit or a loss to a seller's reputation. Knowing key customer profiles supports effective marketing strategies with a deep understanding of customer preferences and behavior. This approach is supported by clustering technology for better analysis of customer information, improving management, and designing IT technology according to current developments. The results of data processing form four clusters, forming customer profiles based on family structure and income/expense levels. Understanding cluster characteristics is the basis for an effective marketing strategy. By customizing marketing tactics, targeting specific offers, and optimizing promotions, companies can build strong relationships, increase retention, and achieve business success. This approach provides deep insight, enables targeted decision making, and is responsive to evolving market dynamics.]]>
