Jurnal Online Universitas Ibrahimy
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PREDIKSI CHURN PELANGGAN INDUSTRI TELEKOMUNIKASI MENGGUNAKAN METODE ARTIFICIAL NEURAL NETWORK BERBASIS STREAMLIT
Get PDFTelecommunications companies face a major challenge in retaining customers as the cost of acquiring new customers is much higher than retaining existing customers. Customer churn, or the tendency of customers to stop using a service, can cause significant losses to the company. Customer churn prediction using Machine Learning techniques is crucial to address this issue. This research uses a Streamlit-based Artificial Neural Network (ANN) algorithm to predict customer churn in the telecommunications industry. Inspired by how the human nervous system works, ANN can learn complex customer data patterns, such as tenure, contract type, and monthly fee, resulting in more accurate predictions. Based on the research results, the Streamlit-based ANN method achieved 98% accuracy, higher than the previous method. However, the high accuracy indicates the potential for overfitting, so further testing with larger and more diverse datasets is needed to ensure better generalization. This model is expected to help telecommunication companies identify potentially churning customers and improve customer retention strategies effectively.Perusahaan telekomunikasi menghadapi tantangan besar dalam mempertahankan pelanggan karena biaya untuk mendapatkan pelanggan baru jauh lebih tinggi daripada mempertahankan pelanggan yang sudah ada. Churn pelanggan, atau kecenderungan pelanggan untuk berhenti menggunakan layanan, dapat menyebabkan kerugian yang signifikan bagi perusahaan. Prediksi churn pelanggan menggunakan teknik Machine Learning sangat penting untuk mengatasi masalah ini. Penelitian ini menggunakan algoritma Artificial Neural Network (ANN) berbasis Streamlit untuk memprediksi customer churn pada industri telekomunikasi. Terinspirasi dari cara kerja sistem saraf manusia, ANN dapat mempelajari pola data pelanggan yang kompleks, seperti masa aktif, jenis kontrak, dan biaya bulanan, sehingga menghasilkan prediksi yang lebih akurat. Berdasarkan hasil penelitian, metode ANN berbasis Streamlit mencapai akurasi 98%, lebih tinggi dari metode sebelumnya. Namun, akurasi yang tinggi mengindikasikan adanya potensi overfitting, sehingga pengujian lebih lanjut dengan dataset yang lebih besar dan beragam diperlukan untuk memastikan generalisasi yang lebih baik. Model ini diharapkan dapat membantu perusahaan telekomunikasi dalam mengidentifikasi pelanggan yang berpotensi berpindah dan meningkatkan strategi retensi pelanggan secara efektif
ANALISIS EFEKTIVITAS ALGORITMA MACHINE LEARNING DALAM DETEKSI MALWARE ANDROID DENGAN STATISTICAL TESTS
Get PDFBecause there are so many harmful apps on the market, Android malware detection has emerged as a crucial cybersecurity concern. Using the Drebin dataset, which comprises 5,560 malicious and 9,476 benign applications, this study attempts to assess how well three machine learning algorithms—Neural Network, K-Nearest NeighborI (K-NN), and Decision Tree—detect malware on the Android operating system. The method used involves testing the performance of the three algorithms based on Accuracy, Precision, Recall, and F1-Score. The results show that Neural Network has the highest Accuracy at 98.7%, followed by K-NN with 97.7%, and Decision Tree with 97.5%. Neural Network also excels in Precision, Recall, and F1-Score with values of 98.4%, 98.1%, and 98.2%, respectively. Although the performance differences between the algorithms are not statistically significant, the results indicate that Neural Network offers the best solution for Android malware detection. This study provides guidance in selecting the appropriate algorithm for Android -based security systems.Karena ada begitu banyak aplikasi berbahaya di pasaran, deteksi malware Android telah muncul sebagai masalah keamanan siber yang penting. Dengan menggunakan dataset Drebin, yang terdiri dari 5.560 aplikasi berbahaya dan 9.476 aplikasi jinak, penelitian ini mencoba menilai seberapa baik tiga algoritme pembelajaran mesin - Jaringan Syaraf Tiruan (Neural Network), K-Nearest Neighbor (K-NN), dan Decision Tree - mendeteksi malware pada sistem operasi Android. Metode yang digunakan adalah dengan menguji performa ketiga algoritma tersebut berdasarkan Akurasi, Presisi, Recall, dan F1-Score. Hasilnya menunjukkan bahwa Neural Network memiliki akurasi tertinggi yaitu 98.7%, diikuti oleh K-NN dengan 97.7%, dan Decision Tree dengan 97.5%. Neural Network juga unggul dalam Precision, Recall, dan F1-Score dengan nilai masing-masing 98.4%, 98.1%, dan 98.2%. Meskipun perbedaan kinerja antara algoritme tidak signifikan secara statistik, hasilnya menunjukkan bahwa Neural Network menawarkan solusi terbaik untuk deteksi malware Android. Penelitian ini memberikan panduan dalam memilih algoritma yang sesuai untuk sistem keamanan berbasis Android
PELATIHAN GURU TERKAIT STRATEGI PEMBELAJARAN INKLUSIF BERBASIS SIPAO YANG DIDASARKAN PADA METODE COMMUNITY BASED PARTICIPATORY ACTION RESEARCH (CBPAR)
Get PDFSome of problem faced by teachers in learning today are they still have difficulty understanding the character and condition of students, especially those with special needs, they still have diffculty preparing the learning plans for students, they still have difficulty organizing the learning time, and they still have difficulty creating the learning method that involve all students. One solution is to empower teachers through training related to inclusive learning strategies based on the natural brain learning system. The aim of this empowerment is to provide alternative learning methods for teachers that can be accepted by all groups of students. The method used in this empowerment is the community based participatory action research (CBPAR) approch. There are four stages in carrying out empowerment, namely reconnaissance, planning, implementation, and reflection. The results of the empowerment show that this activity can provide knowledge and experience for teachers. Future recommendations, there is a need for teacher assistance after training so that they can know the impact of training activities on students
PELATIHAN PEMBUATAN LMS ONLINE BAGI GURU PAI SEBAGAI SARANA BELAJAR MANDIRI SISWA SMA DI KOTA PEKALONGAN
Get PDFThe quality of mutual learning will be guaranteed if you keep up with changing times. In the current era, technology-related phenomena play a very important role in the field of education. Therefore, PAI high school teachers in the city of Pekalongn need to always update their technology mastery skills. The online learning management system based on the Google site aims to be an alternative technology that can be used in learning. The aim of this research is to hope that students can learn independently and teachers are more creative in developing teaching materials. Based on these considerations, the service team provided training on creating and using an online LMS to PAI teachers. The research method CBR (Community Based Research) is used in community service activities. Participants in this training are PAI teachers who are members of the MGMP PAI SMA Pekalongan City. As a result of this activity, PAI teachers were able to create and use an online LMS based on the Google site which was adapted to the open materials of each training participant. Suggestions for further service can optimize the LMS on a different basis
KONTRIBUSI PEREMPUAN TERHADAP PERTUMBUHAN EKONOMI MELALUI KELOMPOK WANITA TANI: Studi Kasus di Desa Mekarwangi Kecamatan Saketi Kabupaten Pandeglang
Get PDFThis research aims to explore the role of women towards economic empowerment through Women Farmers Group (KWT). This research uses a qualitative approach with PAR (Participatory Action Research) analysis, the research was conducted in Mekarwangi village, Saketi District, Pandeglang Regency. Data was collected through interviews and participatory observation. The results showed that KWT is not only a forum for women in empowering and increasing family income, but also provides space for them to develop skills, build social networks, and increase roles in the public sector, especially agriculture. Through KWT, women in Mekarwangi Village have managed to develop their individual and cooperative skills in managing businesses, such as managing agricultural fields, farming to marketing and managing the money from sales. So that they can increase their role from just being a housewife to an active economic actor in a more complex sector. This research concludes that Women Farmers Groups have great potential in empowering women and promoting gender equality, especially at the village level
PERAN ORANG TUA DALAM MEMBENTUK AKHLAK ANAK USIA DINI
Get PDFThe role of parents in shaping the morals of early childhood is very important, because it will determine the formation of the child\u27s character. In this case, parents as role models must be good examples for their children to optimize their role in shaping children\u27s morals. This research was conducted to examine and provide information on the role of parental parents in forming the morals in early childhood. The research approach used is qualitative research with a literature study research method. The references used will be reviewed and related to the specified topic so that they become new information related to the role of parents in the forming of the morals of early children. Parents are the key to the family environment, so they must optimally carry out their duties and responsibilities so that the education process can be carried out properly and achieve optimal education results
Deteksi Perubahan Berat Badan Akseptor KB Hormonal dengan Menggunakan Model Regresi Linear Berganda
Get PDFHormonal contraception, which uses estrogen and progesterone preparations, is a contemporary method of contraception that is popular among active birth control participants. Apart from stopping population growth, it also has negative effects on its users. The side effect of increasing body weight can occur due to the nature of the acceptor and the use of hormonal contraceptives for a long period of time. The aim of the study was to detect changes in body weight of hormonal birth control acceptors based on age, parity and length of use of contraception using a multiple linear regression model. Non-experimental quantitative analytical research method with a cross sectional design. The research was conducted at several PMBs in Palembang City in July-September 2023 with samples consisting of hormonal birth control acceptors taken using a purposive sampling technique. Data were collected using questionnaires and body weight measurements and analyzed by multiple linear regression. The results of the research show that the prediction model for weight change = 5.789 - 0.098 Age + 1.4 Parity - 0.008 Length of birth control. Weight gain will definitely affect the health of the recipient and can increase the risk of obesity if it continues. To maintain a stable weight, birth control acceptors must pay attention to their daily diet and exercise regularly. It is very important to obtain information about the effects caused by the use of hormonal birth control with a high number of parities and ages at risk
Terapi Komplementer Akupresur Menurunkan Gejala Emesis Gravidarum Pada Ibu Hamil
Get PDFDuring pregnancy, nausea and vomiting become serious problems, especially reaching extreme levels called emesis gravidarum. Pregnant women try to overcome this problem by using medicines or complementary therapies such as acupressure. This research aims to evaluate the effectiveness of complementary acupressure therapy in reducing the symptoms of emesis gravidarum in pregnant women. A study involving 40 pregnant women, of which 20 experienced significant symptoms, used acupressure techniques at pericardium point 6 to relieve symptoms of nausea and vomiting during the early trimester of pregnancy. This research used quasi-experimental methods (pre-test and post-test) and collected data through questionnaires RINVR and observations at Posyandu Mattirotappareng 1, Tempe District, Wajo Regency, South Sulawesi Province. The results showed a significant difference in the frequency of nausea and vomiting before and after acupressure therapy. After undergoing therapy, there was a significant reduction in the average number of nausea and vomiting events per day, decreasing from 9.0 to 5.2 times. The p-value < 0.05 indicates that acupressure therapy has a significant impact in reducing the frequency of nausea and vomiting in pregnant women. Therefore, the use of acupressure therapy at pericardium point 6 as a non-pharmacological treatment option is effective in reducing symptoms in pregnant women during the early trimester of pregnancy
ANALISIS MANAJEMEN PRODUKSI ARANG
No full textHome industry produk arang UD. Cahaya Baru Desa Sumberkima yang kurang lebih telah didirikan selama 13 tahun, produk arang UD. Cahaya baru yang telah diperjual belikan selama ini berkualitas bagus, arang yang dibuat di UD. Cahaya Baru tidak menggunakan proses penyiraman. Penelitian ini akan meneliti tentang bagaimana analisis strategi manajemen produksi dalam meningkatkan kualitas produk arang di UD. Cahaya Baru serta apa saja faktor pendukung dan penghampat dalam meningkatkan kualitas produksi arang di UD. Cahaya Baru.
Peneltian ini menggunakan metode penelitian kualitatif. Teknik pengumpulan data penelitian lapangan merupakan penelitian yang langsung dilakukan di lapangan, sehingga penelitian memperoleh kondisi nyata yang sesungguhnya di lapangan. Lokasi yang dipilih sebagai objek penelitian yaitu di UD. Cahaya Baru Desa Sumberkima Kecamatan Gerokgak Kabupaten Buleleng Bali. Dalam penelitian ini, penelitian menggunakan beberapa teknik pengumpulan data, antara lain observasi, wawancara, dan dokumentasi. Teknik analisis data yang digunakan meliputi reduksi data, penyajian data dan penarikan kesimpulan.
Hasil dari penelitian ini menunjukkan bahwa strategi manajemen produksi yang digunakan oleh perusahaan untuk meningkatkan kualitas produk adalah memperhatikan proses produksi, bahan baku, alat-alat yang digunakan aman untuk proses pembakaran dan keamanan kerja bagi karyawan serta memperhatikan berapa banyak jumlah arang yang akan di produksi. Faktor pendukung di UD. Cahaya Baru adalah adanya semangat dari karyawan dan tetangga sekitar, dukungan dari pemerintah setempat dan kualitas produk arang yang berkualitas sangat bagus sehingga pelanggan merasa puas dan memberikan respon yang positif bagi perusahaan. Sementara itu, faktor penghambat yaitu karyawan terkadang tidak disiplin, sehingga memperlambat proses produksi arang. Ketika permintaan meningkat, sedangkan bahan baku untuk produksi kurang mencukupi serta adanya pesaing dari luar bali yang memasarkan produk arangnya masuk ke daerah Bali
SANKSI PIDANA TERHADAP WARGA NEGARA ASING PELAKU PENYALAHGUNAAN IZIN TINGGAL
No full textAbuse of residence permits is a legal incident that often occurs in immigration crimes. Residence permits for foreign nationals residing in Indonesian territory are often misused by these permit holders, resulting in many cases of abuse of residence permits. The method used is normative legal research or Legal Research. The results of the study are as follows: Perpetrators of abuse of residence permits are not subject to criminal sanctions under the immigration law, namely the handling of cases is shorter, namely through administrative actions in the form of deportation, and also considering the punishment. the law is "ultimum remidium" or better known as the final action for someone who violates the law, then the Class I Immigration Office TPI Jember will provide administrative sanctions as in article 78 paragraph 3 law no. 6 of 2011 concerning Immigration states that: Foreigners who have a residence permit whose validity period has expired and are still in Indonesian territory for more than 60 (sixty) days from the period of their stay permit, are subject to immigration administrative measures in the form of deportation and detention, in the case of this needs to be tightened again in terms of supervision and sanctions for foreigners who come to Indonesia, so that violations committed by foreigners can be reduced.Penyalahgunaan izin tinggal merupakan kejadian hukum yang sering terjadi dalam kejahatan keimigrasian. Izin tinggal bagi warga negara asing yang berada di wilayah Indonesia seringkali disalahgunakan oleh pemegang izin tersebut sehingga mengakibatkan banyak kasus penyalahgunaan izin tinggal. Metode yang digunakan adalah penelitian hukum normatif atau Legal Research. Hasil penelitian adalah sebagai berikut: Pelaku penyalahgunaan izin tinggal tidak dikenakan sanksi pidana berdasarkan undang-undang keimigrasian yaitu penanganan perkaranya lebih singkat yaitu melalui tindakan administratif berupa deportasi, dan juga mengingat pidananya. hukumnya bersifat “ultimum remidium” atau lebih dikenal dengan tindakan akhir bagi seseorang yang melanggar hukum, maka Kantor Imigrasi Kelas I TPI Jember akan memberikan sanksi administratif seperti pada pasal 78 ayat 3 undang-undang no. 6 Tahun 2011 tentang Keimigrasian menyatakan bahwa: Orang Asing yang mempunyai izin tinggal yang masa berlakunya telah habis dan masih berada di wilayah Indonesia lebih dari 60 (enam puluh) hari sejak jangka waktu izin tinggalnya, dikenakan tindakan administratif keimigrasian berupa deportasi dan penahanan, dalam hal ini perlu diperketat lagi dalam hal pengawasan maupun sanksi WNA yang datang ke Indonesia, agar pelanggaran-pelanggaran yang dilakukan WNA dapat dikurangi