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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Format : Jurnal Imiah Teknik Informatika Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Ilmiah FIFO JURNAL MEDIA INFORMATIKA BUDIDARMA Zero : Jurnal Sains, Matematika, dan Terapan JURIKOM (Jurnal Riset Komputer) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Building of Informatics, Technology and Science Journal of Information Systems and Informatics JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) Reswara: Jurnal Pengabdian Kepada Masyarakat Syntax: Journal of Software Engineering, Computer Science and Information Technology Yayasan Cita Cendikiawan Al Khwarizmi Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Bulletin of Computer Science Research KLIK: Kajian Ilmiah Informatika dan Komputer TIERS Information Technology Journal Jurnal IPTEK Bagi Masyarakat Jurnal Pengabdian Masyarakat IPTEK Journal of Information Systems and Technology Research Jurnal Sistem Komputer Triguna Dharma (JURSIK TGD) Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Paradigma DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Journal of Computer Science and Research Journal of Embedded Systems, Security and Intelligent Systems Jurnal INFOTEL Jurnal Pengabdian Masyarakat Nasional Conference Proceedings International Conference on Education Innovation and Social Science International Journal of Informatics and Data Science
Asyahri Hadi Nasyuha
(Scopus ID: 57214154368), Universitas Teknologi Digital Indonesia, Yogyakarta
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Decision Support System Integrating Entropy Weighting and MARCOS Ranking for Multi-Criteria Data-Driven Prioritization Lince Tomoria Sianturi; Berto Nadeak; Asyahri Hadi Nasyuha; Moses Adeolu Agoi
Journal of Embedded Systems, Security and Intelligent Systems Vol 7 No 2 (2026): June 2026
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/r0d49p45

Abstract

Purpose – This study aims to develop a data-driven decision support system that integrates entropy-based objective weighting with the MARCOS ranking method to improve multi-criteria prioritization in credit risk assessment by enhancing objectivity, consistency, and robustness of decision-making outcomes. Design/methods/approach – A hybrid MCDM framework is proposed, combining entropy weighting to determine criterion importance based on data variability and the MARCOS method to rank alternatives relative to ideal and anti-ideal solutions. The approach is evaluated using the Statlog German Credit dataset consisting of 1,000 applicants and six evaluation criteria. Performance is assessed through comparative analysis with conventional methods (TOPSIS and VIKOR), sensitivity testing under weight perturbation, and stability analysis using Spearman rank correlation. Findings - The results demonstrate that the proposed Entropy–MARCOS framework produces reliable and consistent prioritization outcomes. The model achieves a high ranking stability with a Spearman correlation of 0.91 and outperforms conventional MCDM methods in terms of ranking consistency. The findings also indicate that criteria such as age and employment duration have the highest discriminative importance, and the method remains robust under moderate variations in criterion weights. Research implications/limitations – However, the evaluation is limited to a single dataset and static criteria weights, which may affect generalizability across different domains or dynamic environments. Future research should explore adaptive weighting mechanisms and validate the model on more diverse datasets. Originality/value – This research contributes a unified hybrid framework that combines entropy-based objective weighting with the MARCOS ranking method, providing a more transparent, data-driven, and stable approach for multi-criteria decision-making, particularly in credit risk prioritization contexts.
Sistem Pendukung Keputusan Kelayakan Event Organizer Dalam Menjalankan Event IBC (Intensive Bible Course) Di Yayasan Giving Indonesia Menggunakan Metode Multi Objective Optimazation On The Basis Of Ratio Analysis Rico Imanta Ginting; Asyahri Hadi Nasyuha
Syntax : Journal of Software Engineering, Computer Science and Information Technology Vol 1, No 2 (2020): Desember 2020
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/syntax.v1i2.1138

Abstract

Perkembangan zaman yang semakin maju seperti sekarang ini membuat kebutuhan masyarakat semakin meningkat pula. Terlebih lagi didorong dengan adanya kemajuan teknologi yang sangat cepat. Pengaruh perkembangan teknologi telah menjamah berbagai bidang, contohnya saja pada bidang Penyedia Jasa Profesional Event Organizer (EO). Teknologi telah masuk didalamnya sebagai alat bantu untuk mengerjakan suatu pekerjaan ataupun melakukan identifikasi seperti kelayakan seorang EO untuk menjalankan suatu acara.Oleh karena itu dalam menentukan EO perlu dirancang suatu sistem pendukung keputusan menggunakan metode Multi Objective Optimization On The Basis Of Ratio Analysis atau yang disebut MOORA. Sistem ini diharapkan dapat membantu memecahkan masalah dan diharapkan sistem ini membantu pengguna jasa yang ingin menggunakan jasa EO, sehingga tidak mendapat kekecewaan ketika berlangsungnya event tersebut.
Implementasi Multiple Linear Regressing Dalam Memprediksi Income Penjualan Cctv Pada Cv. Bumi Rajasa Trading Mochammad Iswan; Zulham Zulham; Asyahri Hadi Nasyuha
Syntax : Journal of Software Engineering, Computer Science and Information Technology Vol 1, No 2 (2020): Desember 2020
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/syntax.v1i2.997

Abstract

CV. Bumi Rajasa Trading merupakan sebuah perusahaan yang bergerak dibidang kontraktor penjualan serta pemasangan CCTV. Tentu saja dari hasil penjualan dan pemasangan CCTV tersebut, maka CV. Bumi Rajasa Trading mempunyai kisaran pendapatan yang selalu berubah-ubah, tergantung dari pencapaian target pada setiap periode atau perbulannya.Untuk mengatasi masalah income atau pendapatan yang tidak menentu tersebut maka CV. Bumi Rajasa Trading harus dapat memprediksi income yang akan didapat pada periode berikutnya agar pemimpin perusahaan dapat mengambil sikap dalam melakukan perbaikan bak dari segi pelayanan maupun produk agar dapat lebih bersaing dengan pasar. Maka dari itu digunakanlah Data mining untuk memprediksi income menggunakan metode Multiple Linear Regression.Data mining dengan metode Multiple Linear Regression ini dapat membantu CV. Bumi Rajasa Trading untuk melakukan perencanaan dan perbaikan, baik dalam hal pelayanan, pengadaan stok barang ataupun peningkatan kualitas barang.
Implementation of K-means algorithm in data analysis Asyahri Hadi Nasyuha; Zulham Zulham; Ibnu Rusydi
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 20, No 2: April 2022
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v20i2.21986

Abstract

Some large companies have difficulty in providing products even though the products are still available in the warehouse. Based on these problems, a solution is needed in managing cosmetic products and can find the right strategy so that it can increase business in the field of sales and improve sales services by using algorithms in data mining that can overcome these problems, such as clustering techniques that use the K-means clustering algorithm as a way to measure proximity data between cosmetic products based on transactions that have occurred. The specialty of the analysis of the management of cosmetic products in this study is that it produces data on products that are not sold enough so that it can provide prevention so that the accumulation of these products does not occur. The use of K-means clustering also makes it easier to collect cosmetic sales transaction data, can solve problems in classifying cosmetic product sales transaction data and find out which products should be in cosmetics stock so as to increase sales profits
A combination of hill cipher and RC4 methods for text security Azanuddin Azanuddin; Rikie Kartadie; Fauzi Erwis; Ahmad Fitri Boy; Asyahri Hadi Nasyuha
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 22, No 2: April 2024
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v22i2.25628

Abstract

To hide confidential messages from people who are not responsible or who can access the messages, a way is needed to hide the messages. One way to hide messages in transmission is to change the data into something unintelligible by encoding and embedding it using cryptography and steganography techniques. This application was built using the hill cipher algorithm and the Rivest Cipher 4 (RC4) method. This algorithm is a symmetric key algorithm which has several advantages in data encryption. The hill chiper algorithm uses a mxm matrix as the encryption and decryption key. Meanwhile, the RC4 symmetric key is in the form of a stream cipher which can process input data as well as messages or information. Input data is generally in the form of bytes or even bits. The results of this research show that hill cipher and RC4 have their respective advantages and disadvantages. However, currently, RC4 is generally considered less safe for use in security-critical scenarios due to its vulnerability to attack. It is highly recommended to use an encryption algorithm such as advanced encryption standard (AES) which is modern and strong and has been tested and proven to be more resilient.
VIKOR analysis in determining creditworthiness M. Syaifuddin; Ganefri Ganefri; Sukardi Sukardi; Asyahri Hadi Nasyuha; Egi Afandi
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 21, No 6: December 2023
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v21i6.23305

Abstract

Nowadays people are increasingly inclined to buy motorized vehicles because in addition to a light down payment, finance companies also provide convenience for the public in purchasing motorized vehicles. Even though the income level of the people in Indonesia is still relatively low, with a low down payment, the people are not too concerned about it. Honda showrooms carry out various forms of promotion and marketing so that the vehicles they sell get a response from consumers so they want to buy them. However, in fact there are still many forms of promotion that are not appropriate for consumers, so that in the motor vehicle loan process there are often obstacles caused by various factors. This study aims to create an analyst that can later be applied to computer systems, so that it can be said that by testing the system based on existing criteria, it will provide a definite answer in determining the creditworthiness of motorcycles to consumers.
Implementasi Metode SMART dalam Sistem Pendukung Keputusan Pemilihan Pantai Terbaik Marsono Marsono; Karina Andriani; Cindy Vivin Avilia; Evi Rosalina Widyayanti; Asyahri Hadi Nasyuha; Dedi Rahman Habibie
Bulletin of Computer Science Research Vol. 6 No. 1 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i1.781

Abstract

Beaches in Bantul Regency, Yogyakarta, such as Parangtritis, Depok, Samas, Goa Cemara, and Baru Beaches, attract tourists for their natural beauty, recreational activities like sandboarding, and local traditions like the Labuhan ceremony. However, tourists struggle to find the best destination among the many beach options based on factors such as ticket price, distance from the city center, cleanliness, facilities, and culinary experiences. Using the Simple Multi-Attribute Rating Technique (SMART) method, this study aims to provide recommendations for the best beaches in Bantul. SMART is a method that offers an objective approach to overcome the limitations of subjective reviews on social media. Data were collected from 31 tourists through field observations and online questionnaires from August to September 2025 to assess the relevance of the criteria and the level of tourist satisfaction with the five beaches. Field observations examined facilities and cleanliness, and the questionnaire assessed tourist preferences using a Likert scale. Baru Beach was the best destination according to the SMART analysis with a score of 0.971, excelling in cleanliness and facilities. Followed by Goa Cemara Beach with a score of 0.968, Parangtritis with a score of 0.962, Depok with a score of 0.959, and Samas with a score of 0.916. These results help beach managers improve facilities and promotions, while also helping tourists choose beaches based on their preferences, such as affordability or appealing local cuisine. Furthermore, this research encourages coastal environmental conservation and increases tourist visits, driving local economic growth in Bantul.
Optimizing Insurance Customer Segmentation with C4.5 Decision Tree Algorithm Sigit Candra Setya; Moch. Iswan Perangin-angin; Marsono Marsono; Asyahri Hadi Nasyuha; Lucia Nugraheni Harnaningrum
Journal of Information System Research (JOSH) Vol 6 No 4 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i4.7358

Abstract

Insurance companies rely on premium payments as their primary source of revenue. However, economic instability often causes delays in premium payments, impacting revenue recording. This study applies the C4.5 Decision Tree algorithm to classify insurance customers based on premium amount, age, income, and claim history, thereby improving product recommendations. The research utilizes data mining techniques to analyze customer attributes and generate decision rules for optimal insurance product selection. The findings indicate that customers with a premium of IDR 500,000 are best suited for PRUMed Cover (PMC), while those with IDR 1,000,000 are recommended PRUCritical Benefit 88 (PCB88). For customers with IDR 750,000, additional factors such as age and income level influence the recommended insurance type. The entropy and information gain calculations identify premium amount as the most significant attribute for decision-making, followed by age, income, and claim history. By implementing this method, insurance companies can enhance customer segmentation, streamline product selection, and optimize marketing strategies. The transparent and interpretable decision tree structure ensures regulatory compliance while improving customer satisfaction. Future research should explore additional variables, such as behavioral data and regional trends, and compare C4.5 with other classification algorithms like Random Forest or Support Vector Machines (SVM) to enhance accuracy and scalability.
Sistem Pendukung Keputusan Pemilihan Bibit Padi Unggul Menggunakan Metode Simple Additive Weighting (SAW) Fina Febriyani; Asyahri Hadi Nasyuha; Deborah Kurniawati
Journal of Information System Research (JOSH) Vol 6 No 4 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i4.7627

Abstract

The selection of superior rice seeds is a crucial stage in improving agricultural productivity in Indonesia. However, farmers often select seeds subjectively without systematically considering important factors. To address this issue, this study designs and develops a Decision Support System (DSS) based on the Simple Additive Weighting (SAW) method to assist farmers in selecting the best rice seeds using six criteria: pest resistance, harvest age, amylose content, yield, irrigation water efficiency, and rice texture. Data were collected through interviews with five farmers in Mangir Lor. The results showed that the rice variety Inpari 32 achieved the highest score of 0.87, thus recommended as the best alternative. The SAW method proved effective in managing multicriteria data and producing objective and accurate results. This DSS is expected to serve as a practical decision-making tool for farmers in selecting high-quality rice seeds and contribute to the achievement of sustainable national food security.
Sistem Pendukung Keputusan Rekomendasi Rumah Kost di Sekitar Kampus Menggunakan Metode SAW Anik Oktavia Utami; Asyahri Hadi Nasyuha; Pulut Suryati
Journal of Information System Research (JOSH) Vol 6 No 4 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i4.7629

Abstract

Yogyakarta, known as a student city, is a major destination for students from various regions in Indonesia to pursue higher education, including at the Universitas Teknologi Digital Indonesia (UTDI). The majority of UTDI students come from outside the city and therefore require temporary housing such as boarding houses (kost). However, selecting a suitable kost is often challenging due to the abundance of choices and various criteria that must be considered, such as distance to campus, rental price, facilities, safety, house rules, and cleanliness. This study aims to design and develop a Decision Support System (DSS) to provide the best boarding house recommendations around UTDI using the Simple Additive Weighting (SAW) method. SAW was chosen due to its capability to handle multi-criteria decision-making in a simple yet effective manner. Data collection methods include literature studies and questionnaires distributed to students. The evaluation process involved assigning weights to each criterion, followed by normalization and preference score calculation for each boarding house alternative. The final results show that the system successfully provides objective recommendations, with the highest-ranking boarding house being Kost Melati with a score of 1.798, followed by Kost Putri Raflesia (1.6), and Kost Ijo Putri (1.55). The developed DSS simplifies the previously manual and subjective kost selection process into a more structured and accurate system. In conclusion, the SAW method proves effective in supporting decision-making for kost selection around the UTDI campus. This research is expected to serve as a foundation for developing similar systems with more complex or combined methods for optimal results.
Co-Authors A F Limas Ptr A, Azanuddin Abdul Karim Abdullah, MT, Dr. Rijal Afdal Al Hafiz Agustina Sidabutar Ahmad Fitri Boy Ahyanuardi Ahyanuardi Al Hafiz, Afdal Alda Fadilla Ali Hamsar Ali Ikhwan Ali Ikhwan Aloysius Agus Subagyo Aly, Moustafa H Amrullah Amrullah Andriyani, Widyastuti Anik Oktavia Utami Anwar, Badrul Ardianto Pranata Ardianto Pranata Pranata Asmar Yulastri Azanuddin Azanuddin Azanuddin Azanuddin Azanuddin Azanuddin B. Herawan Hayadi Badrul Anwar Bagas Triaji Berto Nadeak Buyung Solihin Hasugian Catur Setyono Chung, Meng-Yun Cindy Vivin Avilia Damayanti, Ariesta Deborah Kurniawati Deborah Kurniawati Dedi Rahman Habibie Dedi Rahman Habibie Dedi Rahman Habibie Dedy Irfan Devri Suherdi Dicky Nofriansyah Dini Fakta Sari Dini Fakta Sari, Dini Fakta Dison Librado Dzulchan Abror Edy Prayitno Edy Prayitno Egi Afandi Egi Affandi Elyas, Ananda Hadi Erna Hudianti Pujiarini Evi Rosalina Widyayanti Faisal Taufik Fauzi Erwis Fauzi Erwis FERI SETIAWAN Fina Febriyani Ganefri . Ganefri Ganefri Ginting, Erika Fahmi Habibie, Dedi Rahman Hafizah Hafizah Hamsar, Ali Harmayani Hasan Maksum Hendra Jaya Hendra, Yomei Hendryan Winata Hera Wasiati Hutagalung, Juniar Ibnu Rusydi Ikhwan Ruslianto Ita Mariami Iwan Purnama Jalius Jama jufri halim Junaidi Junaidi Karina Andriani Khairul Khoiri, Muhammad Hafidz Ady Latifah Hanum Leswanto, Tomi Lince Tomoria Sianturi Lucia Nugraheni Harnaningrum Lusiyanti Lusiyanti Lusiyanti Lusiyanti Lusiyanti, Lusiyanti M. Giatman M. Syaifuddin Mardiah Nasution Mariami, Ita Marsono Marsono Marsono Marsono Marsono Marwanta, Y. Yohakim Masyuni Hutasuhut Maulana, Dandi Maulana, Fajar Mesran, Mesran Mesti woro Mahatmi Moch Iswan Perangin-Angin Moch. Iswan Perangin Angin Moch. Iswan Perangin-angin Mochammad Iswan Moses Adeolu AGOI Moses Adeolu Agoi Moustafa H. Aly Moustafa H. Aly Moustafa H. Aly Muhammad Hafidz Ady Khoiri Muhammad Syahril Muhammad Zunaidi Mukhlis Ramadhan Muskhir, Mukhlidi Nasution, Hanifah Nur Nizwardi Jalinus Novica Irawati Nugraha, Arya Adhi Nur Yanti Nur Yanti Lumban Gaol Nur Yanti, Nur Nurarif, Saiful Pane, Usti Fatimah Sari Sitorus Perangin Angin, Moch Iswan Perangin-angin, Moch. Iswan Perdana, Ivan Jaka Pratiwi, Hani Dita Pulut Suryati Pulut Suryati, Pulut Purwadi Purwadi Putri Febrianty Ramadhan, Muhammad Sabir Ramadhan, Mukhlis Refdinal, Refdinal Rico Imanta Ginting Rikie Kartadie Rizky, Firahmi Roziyani Setik Saiful Nurarif Saniman Saniman Santoso, Ismawardi Satria Fandani Setiawan, Feri Sigit Candra Setya Simatupang, Wakhinuddin Sinta Mega Sinaga Solly Aryza Sri Redjeki Sri Redjeki Suardi Yakub Sudarmanto Sudarmanto, Sudarmanto Sukardi, Sukardi Trinanda Syahputra Trinanda Syahputra Tugiono Tugiono Tujantri , Harkam Veza, Okta Wahyudi, Udin Dwi Widiarti Rista Maya Wijang Widhiarso WINDHA MEGA PRADNYA DHUHITA Yohanni Syahra Yolanda Wiguna Yuni Franciska Tarigan Yustria Handika Siregar Zakarias Situmorang Zulfi Azhar Zulham Sitorus Zulham Zulham Zulham Zulham Zulkifli Zulkifli Zunaidi, Muhammad