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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Vokasi Indonesia Jurnal Telematika Indonesian Journal of Applied Informatics GERVASI: Jurnal Pengabdian kepada Masyarakat EDUMATIC: Jurnal Pendidikan Informatika Jurnal Statistika dan Matematika (Statmat) Teknika Mathematics and Applications (MAp) Journal Unnes Journal of Mathematics Journal of Fundamental Mathematics and Applications (JFMA) Info Kripto Jurnal Pelita Pengabdian Jurnal Vokasi Indonesia
Ira Rosianal Hikmah
Politeknik Siber Dan Sandi Negara
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Beberapa karakteristik matriks Riordan dan grup Riordan Yasa, Ray Novita; Hikmah, Ira Rosianal
Unnes Journal of Mathematics Vol 10 No 2 (2021)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ujm.v10i2.50184

Abstract

Deret pangkat formal dan fungsi pembangkit biasa menjadi alat utama dalam membentuk suatu susunan Riordan. Susunan Riordan akan menjadi dasar pembentukan matriks Riordan, dalam kajian ini hanya akan dibahas matriks Riordan dengan satu fungsi pengali. Makalah ini memberikan bukti-bukti terperinci terkait beberapa karakteristik matriks Riordan yang akan membawa pada bukti pembentukan suatu grup yang disebut grup Riordan. Makalah ini juga membuktikan bahwa subgrup Appell adalah subgrup normal dan memberikan bukti terperinci mengenai pembentukan grup faktor oleh subgrup Appell dari grup Riordan.
PEMODELAN SPASIAL DATA PANEL UNTUK MENENTUKAN FAKTOR-FAKTOR YANG MEMPENGARUHI KESEHATAN DI PROVINSI PAPUA Ira Rosianal Hikmah; Yulial Hikmah
STATMAT : JURNAL STATISTIKA DAN MATEMATIKA Vol 2, No 2 (2020)
Publisher : Math Program, Math and Science faculty, Pamulang University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (509.271 KB) | DOI: 10.32493/sm.v2i2.4986

Abstract

Menurut data BPS, tingkat pertumbuhan populasi di Indonesia secara konsisten meningkat setiap tahun. Kondisi pertumbuhan populasi yang tidak dapat ditekan akan menyebabkan berbagai masalah. Salah satu masalah yang mungkin terjadi di Indonesia dan sulit diselesaikan adalah kesehatan masyarakat Indonesia. Hingga saat ini, jumlah penduduk sakit di Indonesia masih cukup tinggi. Model panel spasial merupakan hasil pengembangkan model data panel. Pengembangan ini dilakukan karena adanya pengaruh spasial atau lokasi pada data panel. Informasi spasial sangat penting karena dapat menentukan hubungan suatu daerah dengan daerah lain yang berdekatan. Data yang mengandung elemen spasial tidak akan akurat jika hanya menggunakan regresi panel karena ada asumsi yang dilanggar, salah satunya akan menghasilkan kesalahan yang heterogen. Hal ini disebabkan karena adanya hubungan antar wilayah. Tujuan dari penelitian ini adalah menentukan faktor-faktor yang mempengaruhi persentase penduduk sakit di Provinsi Papua berdasarkan beberapa model panel spasial yang dipilih, yaitu model SAR, SEM, dan GSM. Selanjutnya dilakukan analisis untuk mendapatkan model panel spasial terbaik.
Perhitungan Premi Asuransi Jiwa Dwiguna Dibayarkan pada Akhir Tahun Kematian dengan Menggunakan Package Perangkat Lunak R Yulial Hikmah; Ira Rosianal Hikmah
Jurnal Vokasi Indonesia Vol 8, No 2: July - December 2020
Publisher : Program Pendidikan Vokasi Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.7454/jvi.v8i2.186

Abstract

Asuransi adalah usaha kerja sama antara perusahaan asuransi dan nasabah (pihak tertanggung) dimana perusahaan akan memberikan sejumlah dana kepada nasabah pada waktu tertentu sesuai dengan perjanjian sebagai pengganti premi yang dibayar nasabah. Salah satu jenis asuransi adalah asuransi jiwa, yaitu sebuah janji dari perusahaan asuransi (pihak penanggung) kepada nasabahnya (pihak tertanggung) bahwa apabila nasabah mengalami risiko kematian dalam hidupnya maka perusahaan asuransi akan memberikan santunan (manfaat kematian) dengan jumlah tertentu kepada ahli waris dari nasabah tersebut. Perusahaan asuransi jiwa akan menentukan jumlah premi yang harus dibayarkan oleh pihak tertanggung. Banyak perusahaan asuransi yang menggunakan tabel komutasi dalam melakukan perhitungan premi. Selain itu, beberapa buku juga sudah membahas perhitungan premi dengan membuat fungsi terlebih dahulu pada R. Selain membuat fungsi, telah tersedia sekumpulan package untuk mengefisienkan dalam penyelesaian masalah. Salah satu package R dalam bidang asuransi dan aktuaria adalah lifecontingencies yang digunakan untuk mengelola life table dan tabel aktuaria, menggambarkan demografi, dan melakukan perhitungan di bidang keuangan serta matematika aktuaria. Oleh karena itu, penelitian ini membahas bagaimana menghitung premi tahunan pada asuransi jiwa dwiguna n tahun dengan menggunakan tabel komutasi dan package lifecontingencies. Hasil menunjukkan bahwa keduanya menghasilkan jumlah premi yang sama namun dengan keefektifan dan efisiensi yang berbeda. Penggunaan package R lifecontingencies lebih efektif dan efisien dibandingkan dengan menggunakan tabel komutasi terutama saat ingin melakukan perhitungan premi untuk beberapa nasabah dengan usia yang bervariasi.
ANALISIS TARIF PREMI DAN ASUMSI LOADING PADA PRODUK ASURANSI DWIGUNA BEASISWA Ira Rosianal Hikmah; Yulial Hikmah
Journal of Fundamental Mathematics and Applications (JFMA) Vol 3, No 1 (2020)
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1124.412 KB) | DOI: 10.14710/jfma.v3i1.7414

Abstract

Based on data from Badan Pusat Statistik (BPS), the number of Indonesia's population has consistently increased every year. This will cause several problems, one of them is public health. Health problems that occur cause some risks that cause losses. Therefore, one way to reduce the impact of these risks is insurance. This study analyzes how the process of forming premium prices with loading assumptions that are in accordance with existing assumptions in order to meet the criteria of equitable to the client, deliverable by the agent, and profitable to the company. This research uses a quantitative research approach. The population in this study was all Sum Insured (SI) while the sample was 1000 SI male sex. The data used in this study are secondary data that is data from an ABC insurance company in Indonesia, literature study through books, journal references, and previous research. The results of this study are the calculation of premiums by the methods used by the company more efficiently when compared with formulas in accordance with the theory. Although the price of a premium is more expensive using the company method, it is not significantly different. If using the company method, the sum insured used is the sum insured from death benefit whereas the theory is the average of claims incurred at that age. The fees charged are still fairly reasonable in accordance with the rules of setting the price of insurance premiums. In addition, the use of CSO 80 tables and Reinsurance Rates that have been adjusted to the company's interest rate of 5% in accordance with the expected cash value desired by the company.
Peningkatan Kesadaran Keamanan Informasi Melalui Kegiatan Online Workshop Menggunakan Platform Quizizz Amiruddin Amiruddin; Ira Rosianal Hikmah; Tiyas Yulita; Dimas Febriyan Priambodo; Jeckson Sidabutar
GERVASI: Jurnal Pengabdian kepada Masyarakat Vol 6, No 3 (2022): GERVASI: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM IKIP PGRI Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31571/gervasi.v6i3.3672

Abstract

Kesadaran keamanan informasi merupakan salah satu faktor penting dalam pengukuran Global Cybersecurity Index (GCI). Peningkatan jenis dan jumlah ancaman serangan siber mengakibatkan pengguna sulit mengetahui dan memahaminya. Pencurian data pelanggan marketplace adalah contoh nyata dari ancaman tersebut, yang apabila tidak segera ditangani, dapat menimbulkan kerugian yang lebih besar. Kegiatan pengabdian kepada masyarakat dalam bentuk online workshop merupakan salah satu upaya yang dilakukan di masa pandemi Covid-19 untuk meningkatkan pemahaman dan kesadaran mengenai keamanan informasi. Kegiatan ini dilakukan di STMIK Sinar Nusantara Surakarta dengan jumlah peserta 105 orang, meliputi penyampaian materi dan evaluasi pemahaman peserta. Materi yang diberikan terkait keamanan informasi, teknologi pengambil informasi, rekayasa sosial, dan live demo serangan siber. Adapun evaluasi terhadap peserta workshop dilakukan dengan mengerjakan soal-soal terkait materi yang dibahas sebelumnya melalui platform Quizizz. Jawaban dari peserta dianalisis dengan metode statistik yaitu pengujian beda rataan dan diperoleh kesimpulan bahwa kegiatan ini dapat meningkatkan pemahaman keamanan informasi peserta workshop secara signifikan dengan rata-rata peningkatan sebesar 13%.
Network Forensic Serangan DoS pada Jaringan Cloud berdasarkan Generic Framework for Network Forensics (GFNF) Tri Hesti Damayanti; Ira Rosianal Hikmah
Jurnal Pendidikan Informatika (EDUMATIC) Vol 6, No 2 (2022): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v6i2.6466

Abstract

The attacks on cloud-based networks have increased and could lead to various disadvantages such as the inaccessibility of services until the loss of user’s trust. Owncloud is one cloud implementation that runs on a network with more than 200 million users. The aims of these researches are to find digital evidence from DoS attacks. Some DoS attacks are SSH brute force, SYN flood, ping of death, and port scanning on the Owncloud network and then finding the digital evidence such as the attacker's IP, time occurred of the attack, types of the attack, also the resource usage of CPU and RAM. This research uses Wireshark and Snort tools to analyze the network and the method of Generic Framework for Network Forensic (GFNF) as a framework during the simulation process until performing the evidence. The simulation was carried out for 1 minute with 30 trials for each attack. The results of this study found the attacker’s IP, time of the attack occurred, types of attack, and also the increase of the resource usage on CPU and RAM when an attack occurred. The found of results digital evidence such as the attacker's IP, the time occurred of attack, and the types of attack were visualized as a table and presented on the ELK Stack dashboard. 
Analisis Perbandingan Kinerja dan Kegunaan Aplikasi Pengelola Kata Sandi Closed-Source berdasarkan ISO/IEC 25010 Whisnu Yudha Aditama; Ira Rosianal Hikmah
Jurnal Pendidikan Informatika (EDUMATIC) Vol 6 No 2 (2022): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v6i2.6697

Abstract

The number of services used by internet users such as social media, online transportation, entertainment, and banking. this encourages the use of weak, short, and repetitive passwords that can trigger sensitive data leaks and impact individuals or organizations. These problems can be overcome with open-source and closed-source password manager applications to help users create, store, and manage passwords. Closed-source password manager apps have an advantage in the features they provide compared to open-source ones. The many providers of password manager applications make users face many choices so that the specifications of the password manager application need to be known as consideration for determining the application to be used. In this study, a comparative analysis was conducted to assess the advantages and disadvantages of several popular and widely used closed-source password management applications, including Lastpass, 1Password, and Keeper. Comparative analysis was carried out based on the performance, and usability of ISO/IEC 25010. This study used mixed methods. Quantitative data was obtained during performance testing, while qualitative data was obtained when distributing questionnaires to measure usability. The result is that, in terms of performance characteristics, each application has its own advantages in a different sub-characteristic. On usability characteristics, Keeper application excels in four sub characteristics while 1Password excels in two sub characteristics.
PERHITUNGAN PREMI ASURANSI JIWA DWIGUNA DIBAYARKAN PADAAKHIR TAHUN KEMATIAN DENGAN MENGGUNAKAN PACKAGE PERANGKAT LUNAK R Hikmah, Yulial; Hikmah, Ira Rosianal
Jurnal Vokasi Indonesia Vol. 8, No. 2
Publisher : UI Scholars Hub

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

Abstract

In calculating premiums, many insurance companies use commutation tables. Premium calculation can also be done with R software by making the function. Besides that, there is a set of packages available to make it efficient in solving various problems. One of the R packages in the field of insurance and actuarial is lifecontingencies, which can be used to manage life tables, actuarial tables, and perform calculations in actuarial mathematics. To calculate premiums for some customers, the use of lifecontingencies package is more efficient in terms of time because the calculations are carried out simultaneously for all customers compared to calculations using commutation tables manually. Therefore, this research discusses how to calculate the annual premium on an n-year end-to-end life insurance product by using a commutation table manually and by using the lifecontingencies package in Software R based on the illustration given. The results show that by using the commutation table manually and by using lifecontingencies package, the premium calculation results are the same. So, it can be concluded that the calculation of the premium with lifecontingencies package on R is better than the manual calculation because the premium results are the same but with a shorter time.
Perbandingan Hasil Prediksi Diagnosis pada Indian Liver Patient Dataset (ILPD) dengan Teknik Supervised Learning Menggunakan Software Orange Hikmah, Ira Rosianal; Yasa, Ray Novita
Jurnal Telematika Vol. 16 No. 2 (2021)
Publisher : Yayasan Petra Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61769/telematika.v16i2.402

Abstract

The development of the volume of data every day has resulted in the need for data mining to obtain valuable and meaningful data. There are many data mining software that has been developed, both free and paid. One of the free data mining software is Orange. This software provides modeling, both supervised and unsupervised learning. Orange also provides model evaluation features, such as accuracy, precision, the time required for training and testing, specificity, and other evaluation measures. Therefore, Orange makes it easy for users to perform data mining. One of the users who need Orange is a user with a non-IT background, such as a health user who can make predictions for the diagnosis of a disease. Users do not need to focus on syntax to perform data mining. With Orange, healthcare users can easily and faster predict the diagnosis of the disease. This study uses Indian Liver Patient (ILPD) data from the UCI-Machine Learning Repository. The objective of the diagnosis is to determine whether the patient has a liver disorder or not. The methods that are used in this study are Decision Tree, Random Forest, SVM, Neural Network, Naïve Bayes, k-NN, and Logistic Regression. This study evaluates using a confusion matrix, accuracy level, precision level, training time, and testing time. The results show that the time required for training and testing is relatively short. With the data used, this study has proved that the four best methods based on accuracy are Logistic Regression, Neural Network, Random Forest, and Naïve Bayes.  Perkembangan volume data setiap hari mengakibatkan perlunya data mining untuk mendapatkan data berharga dan berguna. Terdapat banyak data mining software yang telah dikembangkan, baik gratis maupun berbayar. Salah satu data mining software yang gratis adalah Orange. Sofware ini menyediakan pemodelan, baik supervised maupun unsupervised learning. Orange juga menyediakan fitur evaluasi model, seperti akurasi, presisi, waktu yang dibutuhkan untuk training dan testing, spesifisitas, dan ukuran evaluasi lainnya. Oleh karena itu, dapat dikatakan bahwa Orange memudahkan pengguna untuk melakukan data mining. Salah satu pengguna yang membutuhkan Orange adalah pengguna dengan latar belakang non-IT, seperti pengguna bidang kesehatan yang dapat melakukan prediksi untuk diagnosis suatu penyakit. Pengguna tidak perlu berfokus pada sintaks untuk melakukan data mining. Dengan Orange, pengguna bidang kesehatan dapat memprediksi diagnosis suatu penyakit dengan lebih mudah dan lebih cepat. Penelitian ini menggunakan data Indian Liver Patient (ILPD) dari UCI-Machine Learning Repository. Targetnya adalah menentukan diagnosis pasien apakah memiliki ganguan hati atau tidak. Metode yang digunakan adalah Decision Tree, Random Forest, SVM, Neural Network, Naïve Bayes, k-NN, dan Regresi Logistik. Penelitian ini melakukan evaluasi dengan menggunakan confusion matrix, tingkat akurasi, tingkat presisi, waktu training, dan waktu testing. Hasil penelitian menunjukkan bahwa waktu yang dibutuhkan untuk training dan testing terbilang singkat. Dengan data yang digunakan, dalam penelitian ini diperoleh hasil pula empat metode terbaik berdasarkan tingkat akurasi adalah Regresi Logistik, Neural Network, Random Forest, dan Naïve Bayes.
Cyber-Risk Management Menggunakan NIST Cyber Security Framework (CSF) dan Cobit 2019 pada Instansi XYZ Julianto, Andhika Sigit; Hikmah, Ira Rosianal; Yasa, Ray Novita
Info Kripto Vol 18 No 2 (2024)
Publisher : Politeknik Siber dan Sandi Negara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56706/ik.v18i2.99

Abstract

Current technological developments trigger companies or organizations to use Information Technology (IT) as a service base and optimize business processes. IT can provide opportunities in the government sector to develop state apparatus through implementing the Electronic-Based Government System (SPBE). Central and Local Government Agencies have implemented SPBE and contributed to the efficiency and effectiveness of government administration. Ensuring the sustainability of SPBE and reducing the impact of risk is the goal of risk management, with a process of identification, analysis, control, monitoring, and evaluation of risks based on risk management determined by the government. XYZ Agency is an agency that operates in the fields of communication and information, coding and statistics. XYZ Agency also implemented an Electronic Based Government System (SPBE). In this study, Cyber-risk management was designed using NIST CSF and COBIT 2019. In designing cyber-risk management, using 6 stages, namely Prioritized and Scope, Orient, Create a Current Profile, Conduct Risk Assessment, Create a Target Profile, and Determine, Analyze, and Prioritize Gaps. In this study, there are 28 assets, 17 threats, 13 vulnerabilities, and 12 controls implemented. With these results obtained 111 risks, there are 35 risks in the high category, 63 risks in the medium category, and 13 risks in the low category. The final result of this research is the preparation preparation of a cyber-risk management design by grouping the recommended actions based on Work Products (WP) and Generic Work Products (GWP) which become a work program for XYZ Agency.
Co-Authors Aditama, Whisnu Yudha Amiruddin Amiruddin Amiruddin Andriawan, Melandy ARIZAL Clarissa, Putri Rumondang Dimas Febriyan Priambodo Husna, Azka Nurul Jeckson Sidabutar Julianto, Andhika Sigit Muhammad Yusuf Ray Novita Yasa Sunaringtyas, Septia Ulfa Tiyas Yulita Tri Hesti Damayanti Whisnu Yudha Aditama Yulial Hikmah Yusuf, Muhammad Firdaus