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All Journal Jurnal TIMES AL ISHLAH Jurnal Pendidikan International Journal of Artificial Intelligence Research Jurnal Studi Komunikasi SEIKO : Journal of Management & Business JURIKOM (Jurnal Riset Komputer) Jurnal Telematika Journal of Robotics and Control (JRC) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Journal of Applied Science, Engineering, Technology, and Education JINAV: Journal of Information and Visualization INCODING: Journal of Informatics and Computer Science Engineering Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Ceddi Journal of Information System and Technology (JST) Jurnal Pengabdian dan Pemberdayaan Masyarakat Indonesia Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) BISMA: Bimbingan Swadaya Masyarakat
Robbi Rahim
Sekolah Tinggi Ilmu Manajemen Sukma
Religion Aerospace Engineering Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Other

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Data Security Application using Rivest Cipher 6 (RC 6) Algorithm Rahim, Robbi
INCODING: Journal of Informatics and Computer Science Engineering Vol 5, No 1 (2025): INCODING APRIL
Publisher : Mahesa Research Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34007/incoding.v5i1.775

Abstract

The prevention of misuse of data by other parties requires a good data security system. Cryptography is a means of securing data with a view to maintaining confidentiality of information contained in the data, so that information cannot be known to unauthorized parties. RC6 is a cryptographic block cipher algorithm that can be used to secure data or files from irresponsible parties. This study found that the data secured using the RC6 algorithm was quite good and required a long time for some parties to get the plain text.
Optimizing Integrated Waste Management Planning: A Community-Based Approach to Waste Processing Sujatmiko, Dedi; Rahim, Robbi; Nurmawati, Nurmawati; GS, Achmad Daengs
Bisma : Bimbingan Swadaya Masyarakat Vol. 6 No. 2 (2024): June 2024
Publisher : STAI Miftahul ULa Nganjuk

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59689/bisma.v3i4.442

Abstract

This paper presents a community-based approach to optimize waste management planning in Cangkringsari village, located in Indonesia. The project employed a Participatory Action Research (PAR) methodology, combining academic theory with practical community engagement to design and implement a sustainable waste processing system. The project’s objectives were to create a comprehensive waste management plan, develop community awareness regarding waste segregation, and implement an integrated waste processing system. The approach involved participatory action research (PAR), where local community members collaborated in the planning, design, and execution phases. As a result, the community successfully developed a sustainable waste management plan that addressed local environmental challenges while promoting long-term community involvement. The outcomes of the project indicate significant improvements in waste processing efficiency and community engagement, with a noticeable reduction in environmental pollution. This paper concludes by discussing the implications of the community-based approach for broader waste management practices and provides recommendations for further development and scaling of the project. The project highlights the importance of local involvement in addressing environmental issues and emphasizes the role of service learning in bridging the gap between academic knowledge and real-world solutions
Enhancing Learning Support in Islamic Boarding Schools Post-COVID-19 with Participatory Action Research (PAR) Approach Wajdi, Muh Barid Nizarudin; Rahim, Robbi; Nurmawati, Nurmawati; GS, Achmad Daengs; Lestari, Veronika Nugraheni Sri
Bisma : Bimbingan Swadaya Masyarakat Vol. 5 No. 2 (2023): June 2023
Publisher : STAI Miftahul ULa Nganjuk

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59689/bisma.v2i3.591

Abstract

This paper proposes a Participatory Action Research (PAR) framework to enhance learning support in Islamic boarding schools post-COVID-19. The framework consists of five stages: problem identification, planning, action, reflection, and evaluation, and is designed to ensure the involvement and engagement of all stakeholders in decision-making. The PAR approach was implemented in three pesantrens in East Java, Indonesia, involving 45 teachers, 90 students, and 60 parents. The results showed that the PAR approach enabled active participation and collaboration among stakeholders, leading to the identification of key challenges, development of an action plan, and implementation of various interventions. The reflection and evaluation stages allowed for continuous feedback and improvement, resulting in positive outcomes such as increased student engagement, improved teacher performance, and strengthened parent-school relationships. The findings suggest that the PAR approach can effectively enhance learning support in Islamic boarding schools post-COVID-19 and can be adapted in different contexts and settings. The proposed framework can serve as a model for reviving and revitalizing Islamic boarding school education post-COVID-19, and can help ensure sustainable development
Cryptocurrency Risk Management through Decision Engineering: Evaluating XRPUSD and ADAUSD Portfolio Performance Litamahuputty, Jacomina Vonny; Amiruddin, Erwin Gatot; Rahim, Robbi; Rahman, Abdul; Mamadiyarov, Zokir
Journal of Applied Science, Engineering, Technology, and Education Vol. 7 No. 1 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci3871

Abstract

This research examines the risk profiles of XRPUSD and ADAUSD cryptocurrencies through Value at Risk (VaR) analysis with Monte Carlo simulation, providing quantitative risk assessments for both individual assets and a diversified portfolio. Analyzing historical price data from January 2016 to November 2024, the study identifies distinctive risk characteristics between these cryptocurrencies: ADAUSD exhibited marginally higher historical returns (1.44% monthly) compared to XRPUSD (1.42%), but with notably higher volatility (standard deviation of 5.41% versus 4.65%). The Monte Carlo simulation with 1,000 iterations generated VaR estimates at multiple confidence levels, revealing that XRPUSD consistently demonstrated lower downside risk than ADAUSD across all confidence thresholds. At the 99% confidence level, ADAUSD showed a Mean VaR of -10.97%, indicating potential monthly losses exceeding $10.97 million on a hypothetical $100 million investment, while XRPUSD's lower Mean VaR of -9.52% translated to potential losses of approximately $9.52 million. The most striking finding emerged from the portfolio analysis, which revealed dramatic risk reduction through diversification—the equally-weighted portfolio achieved a Mean VaR of merely -2.22% at the 99% confidence level, representing an approximately 80% reduction in potential losses compared to ADAUSD alone. These results demonstrate that cryptocurrency diversification can substantially mitigate extreme downside risk while maintaining exposure to the digital asset class. The significant risk reduction achieved through a simple two-asset allocation validates the application of modern portfolio theory principles to cryptocurrency investments despite their unique characteristics and underscores the critical importance of diversified approaches rather than concentrated positions for risk-conscious cryptocurrency investors. This research contributes to both theoretical understanding of cryptocurrency risk dynamics and practical portfolio construction approaches, providing quantitative evidence for the value of diversification strategies in navigating the substantial volatility inherent in digital asset markets.
PENYISIPAN PESAN DENGAN ALGORITMA PIXEL VALUE DIFFERENCING DENGAN ALGORITMA CAESAR CIPHER PADA PROSES STEGANOGRAFI Rahim, Robbi
Jurnal TIMES Vol 5 No 1 (2016)
Publisher : STMIK TIME

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (430.101 KB) | DOI: 10.51351/jtm.5.1.2016239

Abstract

Steganografi merupakan salah satu metode yang dapat digunakan untuk mengamankan informasi. Steganografi yaitu menyembunyikan informasi atau pesan kedalam media lain seperti citra digital, teks, suara atau video sehingga tidak menimbulkan kecurigaan orang lain. Metode steganografi yang banyak digunakan saat ini masih mempunyai kekurangan dalam hal kualitas, kapasitas, dan ketahanan. Oleh karena itu dibutuhkan metode steganografi lain yang lebih baik lagi, dan untuk menambah keamanan pada informasi, steganografi dapat dikombinasikan dengan kriptografi. Metode steganografi yang digunakan yaitu metode pixel value differencing (PVD). Metode ini dapat menyisipkan pesan lebih banyak pada pixel yang memilik nilai kekontrasan tinggi. Untuk menambah tingkat keamanan dari informasi yang akan disisipkan kedalam citra, digunakan kriptografi. Teknik kriptografi yang digunakan yaitu algoritma caesar cipher. Caesar cipher merupakan algoritma yang digunakan sebagai standar kriptografi. Penelitian yang dilakukan yaitu mengkombinasikan steganografi dengan kriptografi pada citra digital. Kemudian dilakukan pengujian terhadap metode steganografi yang digunakan untuk mengetahui kapasitas citra, performansi dari metode pixel value differencing (PVD), kualitas citra yang dihasilkan, dan ketahanan pesan terhadap manipulasi citra dan steganalysis. Berdasarkan hasil pengujian didapat kesimpulan bahwa dengan menggunakan metode pixel value differencing (PVD), kapasitas citra untuk menyisipkan pesan, lebih kecil dari ukuran citranya, waktu proses pada metode ini cukup cepat, kualitas citra setelah disisipi pesan mempunyai kualitas yang baik, namun metode ini juga masih mempunyai kekurangan, karena tidak tahan terhadap manipulasi dan pada beberapa citra masih terdeteksi oleh aplikasi steganalysis.
Computational Risk Management for Strategic Investors: An Engineering-Inspired Approach to Portfolio Diversification Hasan, Nonce; Rahim, Robbi; Sapinah, Sapinah; Pramono, Susatyo Adhi; Abroza, Ahmad
Journal of Applied Science, Engineering, Technology, and Education Vol. 7 No. 2 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci3904

Abstract

This study presents an engineering-inspired approach to computational risk management, focusing on portfolio diversification strategies for strategic investors. Utilizing Monte Carlo simulation techniques, we assess the Value at Risk (VaR) of two prominent companies in Indonesia’s entertainment sector: MD Pictures Tbk (FILM) and MNC Studios International Tbk (MSIN). Daily return data from January 2022 to December 2022 are analyzed to evaluate both individual and combined risk-return profiles. The results show distinct characteristics between the two stocks, with FILM exhibiting a higher average daily return (0.42%) but greater volatility (standard deviation of 4.01%), compared to MSIN's more moderate return (0.33%) and lower volatility (3.64%). At a 95% confidence level, VaR estimates indicate potential maximum daily losses of 6.12% for FILM and 5.81% for MSIN. When combined into an equally weighted portfolio, significant diversification benefits emerge, reducing portfolio standard deviation to 2.77% and improving the VaR to 4.58%. This represents a risk reduction of 25.2% compared to FILM and 21.2% compared to MSIN. For a hypothetical investment of IDR 100 million, these improvements translate to reduced potential daily losses of IDR 1,540,482 and IDR 1,229,142 respectively. The findings demonstrate that even within a single industry, effective risk management can be achieved through strategic intra-sector diversification when constituent firms differ in business model and operational focus. This research bridges the gap between financial engineering and strategic portfolio management by offering a quantitative, simulation-based framework that supports informed decision-making for risk-conscious investors.
Prioritizing Online Learning Platforms Based on Student Needs: A TOPSIS Analysis Enos Lolang; Muthia Mutmainnah; Hafni Hafsah; Iwan Adhicandra; Ernie C Avila; Rahim, Robbi
Journal of Applied Science, Engineering, Technology, and Education Vol. 5 No. 1 (2023)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci1587

Abstract

The proliferation of online learning platforms has made it increasingly difficult for students to choose a platform that best meets their needs. This study aims to prioritize online learning platforms based on student needs using the Multiple Criteria Decision Analysis (MCDA) Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The criteria used in the analysis were ease of use, variety of courses, cost, and reputation of instructors. The results of the analysis indicate that edX is the most suitable online learning platform for students based on the criteria and weights used in the study. Coursera, Udemy, and LinkedIn Learning were also evaluated in the analysis and may be suitable for students with specific priorities or preferences. The MCDA TOPSIS method provides a transparent and objective approach to evaluating the alternatives and offers insights into the strengths and weaknesses of each platform. The results of this study can help students make more informed decisions and choose a platform that best meets their individual needs. However, the choice of criteria and weights may vary depending on the preferences and priorities of different students, and the results should be interpreted accordingly
Selecting the Optimal Location for a New Facility: A PROMETHEE II Analyst Harjanti, Trinugi Wira; Widjaja, Herry Rachmat; Nofirman, N; Sudipa, I Gede Iwan; Pramono, Susatyo Adhi; Rahim, Robbi
International Journal of Artificial Intelligence Research Vol 7, No 1 (2023): June 2023
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i1.738

Abstract

This paper presents a case study of location selection for a new facility using the multi-criteria decision making (MCDM) method, PROMETHEE II. The PROMETHEE II method is a widely used method for solving problems that involve multiple criteria and alternatives. The method allows for the ranking of alternatives based on their overall net flow, which is calculated by weighting and comparing the criteria values for each pair of alternatives. The case study evaluated five different locations based on criteria such as access to transportation, availability of skilled labor, and cost of living. The results of the analysis indicate that C1 was ranked as the most attractive location, with the highest scores for all criteria and the highest overall net flow among all alternatives. A sensitivity analysis was performed to ensure that the results were robust and not sensitive to small changes in the weight of the criteria. The results of this study demonstrate the utility and effectiveness of the PROMETHEE II method in practice and provide valuable insights for further research and practical action.
Co-Authors Abdul Latif Abdul Latif Abdul Rahman Abroza, Ahmad Ada Adoley Allotey Adri Lundeto Agus Riyanto Agus Widodo, Hendro Ahmar, Ansari Saleh Ahmed Ramadhan Al-Obaidi Ahyuna Ahyuna Akbar Iskandar Amiruddin, Erwin Gatot Andrei Widjanarko Anggia Arif Arfianto, Afif Zuhri Baringbing, Elsinta Karolina Br Belinda Lai Berman Hutahaean Claudia Ann Rutland Darwis Robinson Manalu Desi Eka Nuryanti Dwi Yuny Sylfania ELIHAMI, ELIHAMI Ellisa Agustina, Ellisa Elsayed T.Helmy Enos Lolang Ernie C Avila Ernie C Avila Ernie C. Avila Erwin L. Rimban Ester Rajagukguk Fajriana, Fajriana Fransiskus Panca Juniawan GS , Achmad Daengs Guellica Agnesia Claudia Thanos Hafsah, Hafni Hardisal Hardisal Harfawan Matturungan Harjanti, Trinugi Wira Hasan, Nonce Hendro Agus Widodo Herry Rachmat Widjaja I Gede Iwan Sudipa Indriyani Indriyani Intan Nurrachmi Ira Modifa Tarigan Irfan Ahmad Iswahyu Pranawukir Iswanto Suwarno Iswanto Suwarno Iwan Adhicandra Iwan Adhicandra Iwan Adicandra Jacomina Vonny Litamahuputty Jassim Alhamid Jimmy H Moedjahedy Kraugusteeliana Kraugusteeliana Kunal Kunal Kunal Kunal Kunal, Kunal Laksono Trisnantoro Lase, Delipiter Lela Khartishvili Leon Andretti Abdillah Lestari, Veronika Nugraheni Sri LITAMAHUPUTTY, JACOMINA VONNY Lusy Tunik Muharlisiani M. Aldi Hidayat Lamdho Mamadiyarov, Zokir Mansyur Mansyur Manvender Kaur Sarjit Singh Manvender Kaur Sarjit Singh Maret Sitanggang Mary Puthern Matturungan, Harfawan Meithiana Indrasari Mohamad Sudi Mohammad Aljanabi Muhammad Ade Kurnia Harahap Muhammad Ahmad Baballe Muqarranah Sulaiman Kurdi Musyarrafah Sulaiman Kurdi Mutmainnah, Muthia Nabila Turahma Niah Butarbutar Nia Maharani Raharja Nia Maharani Raharja Nofirman, N Novarezi, Wendi Tri Nur Mistari Nurhalimah Nurhalimah Nurhayati Nurhayati Nurmawati Nurmawati Omar Tanane Omar Tanane Prisma Megantoro Raditya Argananta Churyanto Rahmat Hidayat Ramadhani Prayoga Raudatul Innayah Restu Diyah Pramesti restu Rispa Ngindana Rosmawita Ningrum Rushendra, Rushendra S Suwarni Sahyunu Sahyunu Sanco Simanullang Santri W Pasaribu Sapinah, Sapinah Satria Prayudi Siewe Pougoue E.B. Siregar, Yulia Rahma Slamet Riyadi Suhanda, Yogasetya Sujatmiko, Dedi Susatyo Adhi Pramono, Susatyo Adhi Syafrizaldi Syamsu Rijal T.Helmy, Elsayed Tasya Noorhaliza Toha Ardi Nugraha Toong Hai Sam Ursula Hadimeri Usanto S Usanto S Victor Jiménez-Díaz-Benito Virro I. Wajdi, Muh Barid Nizarudin Widjanarko, Andrei Widyatmike Gede Mulawarman Wim Winowatan Wulandari, Ike Yuni Yaya Finayani Yoga Ihsan Rianto Yoga Ihsan Rianto Yuaniko Paramitra