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EVALUATING AND IMPLEMENTING BUSINESS MODEL BASED ON BPEL STRUCTURE: ASYSTEMATIC LITERATURE REVIEW Nenden Eva Meilani Herlina; Sayyid Taufiq Abdulhafizh; Ihfan Aditya Ghafur; RD. Rohmat Saedudin
SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Vol. 1 No. 1 (2024): January
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.14714946

Abstract

In an increasingly dynamic business world, the ability to adapt and innovate is the key to success. Flexible and efficient business models play an important role in this. Business Process Execution Language (BPEL) as an XML-based business process execution standard offers a solution to design, develop, and implement business models efficiently, effectively, and standardized. This study explores how BPEL can be used to evaluate and implement business models. It begins with a brief explanation of the concepts of business models, BPM, and BPEL. This study uses literature analysis, case studies, and conceptual model development. First, we conduct an in-depth review of the literature related to BPEL, business models, and related practices. Then, through case studies in several organizations, we evaluate the effectiveness of BPEL implementation in improving business processes and related business models. The results of the study show that the implementation of BPEL-based business models can increase the flexibility and responsiveness of organizations to market changes. These advantages are especially evident in increasing process efficiency, reducing operational costs, and improving the quality of service to customers.
ANALISIS JAMINAN KUALITAS SISTEM KEAMANAN SIBER PADA SISTEM INFORMASI : SEBUAH STUDI LITERATUR Nenden Eva; Rahma Karina; Septiya Mutiara; RD. Rohmat Saedudin
SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Vol. 1 No. 2 (2024): July
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.14715042

Abstract

Perkembangan teknologi informasi saat ini yang semakin pesat, diiringi dengan serangan siber yang semakin marak terjadi pada sektor publik atau pemerintahan. Serangan tersebut mengakibatkan sejumlah kerugian materi maupun kerusakan infrastruktur atau informasi suatu organisasi, untuk mencegah ancaman siber tersebut, dibutuhkan penjaminan kualitas untuk melindungi informasi dengan melakukan penjagaan terhadap data agar tidak mudah diakses oleh orang yang tidak berkepentingan atau informasi yang disimpan masih terjaga keaslian dan kerahasiaannya. Penjagaan serangan siber dilakukan dengan menggunakan arsitektur TISA (Trust Information Security Architecture) yang terdiri dari tahapan perlindungan data, aturan keamanan informasi, dan prosedur keamanan. Penerapan arsitektur tersebut diselaraskan dengan kriteria kualitas pada sistem untuk menjamin keamanan yang baik berdasarkan framework penjaminan keamanan yang disesuaikan dengan permasalahan keamanan yang terjadi.
COMPARISON ACCURACY OF C4.5 ALGORITHM AND K-NEAREST NEIGHBORS FOR RAINFALL CLASSIFICATION Muhammad Fauzan Nasrullah; RD. Rohmat Saedudin; Faqih Hamami
SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Vol. 1 No. 2 (2024): July
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.14715070

Abstract

Indonesia has a predominantly tropical climate, hence Indonesia experiences limited temperature variations, but has diverse rainfall variations. The variability of rainfall is also inseparable from the impact it has on various aspects of human life and business activities. Therefore, rainfall information is an important aspect in decision making. However, of course, there are stages and methods needed to carry out the analysis process. Therefore, this study looked for the best method between C4.5 and K-Nearest Neighbors which included algorithms in data mining to classify rainfall data. Both algorithms are used to build classification models based on relevant attribute attributes. Then, testing and evaluating both models using various metrics such as Accuracy, Precision, Recall and F1-Score were carried out. In this study also applied Hyperparameter Tuning with the RandomizeSearchCV method to get the best parameters to get maximum accuracy values. The results showed good accuracy values for both algorithms, in the sense that both algorithms were able to classify rainfall based on Indonesia's climate well. Based on the accuracy values obtained with the default parameters of both algorithms, C4.5 produces a higher accuracy value of 81.42%, while K-Nearest Neighbors is only 78.10%. However, after using the best parameters resulting from the application of RandomizedSearchCV Hyperparameter Tuning, a significant change in accuracy value occurred in K-Nearest Neighbors which was found to be 83.37%, while C4.5 increased to 82.56%.
COMPARISON ANALYSIS OF RANDOM FOREST AND NAÏVE BAYES ALGORITHMS FORRAINFALL CLASSIFICATION BASED ON CLIMATE IN INDONESIA Nicolaus Advendea Prakoso Indaryono; RD. Rohmat Saedudin; Faqih Hamami
SITEKNIK: Sistem Informasi, Teknik dan Teknologi Terapan Vol. 1 No. 2 (2024): July
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.14715081

Abstract

Indonesia predominantly features a tropical climate across its entirety. With this mostly tropical climate, the country encounters minimal shifts in temperature but exhibits a wide array of rainfall variations. Rainfall patterns in Indonesia showcase significant diversity. These variations in rainfall hold substantial importance in mitigating risks linked to heavy rainfall, such as floods and landslides. Moreover, besides its role in disaster preparedness, rainfall data also holds practical value in sectors such as agriculture, transportation, and industry. By incorporating data mining classification techniques, the process of predicting rainfall in Indonesia can be greatly enhanced. In this study, daily climate data from Indonesia is harnessed, and the chosen method for classification is the random forest algorithm. This selection stems from its capability to generate accurate and consistent classification models without necessitating intricate adjustments of parameters. Furthermore, the Naïve Bayes method is also integrated due to its straightforward implementation and its capacity for simple probability modeling, which can be effectively applied across diverse classification data. The outcomes of this investigation suggest that the random forest algorithm surpasses the Naïve Bayes algorithm in terms of performance and accuracy when classifying climate datasets unique to Indonesia. The random forest algorithm attains an accuracy rate of 86.55%, whereas the Naïve Bayes algorithm lags at an accuracy rate of 36.61%. It is anticipated that these research findings can serve as a point of reference for subsequent scholarly inquiries and contribute to the ongoing monitoring of daily rainfall in Indonesia, thereby aiding in the prevention of natural disasters.
Program Rancang Bangun Website Desa Salawu - Margalaksana sebagai Media Informasi, Layanan, Sosailisasi, dan Promosi Produk Unggulan Desa Richard Sembiring; Luthfi Ramadhani Sembiring; Tengku Ahmad Riza Sembiring; Cindy Muhdiantin Sembiring; Rd Rohmat Saedudin
NJCOM: Community Service Journal Vol. 2 No. 1 (2026): January
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.18434656

Abstract

Desa Margalaksana merupakan salah satu Desa yang berada di wilayah Kecamatan Salawu. Secara astrionomi Desa Margalaksana Kecamatan Salawu terletak antara pada ketinggian + 600 M di atas permukaan laut dan rata-rata curah hujan mencapai 1.000 MM / Tahun. Luas wilayah Desa Margalaksana Kecamatan Salawu mencapai 274 Ha. Adapun batas-batas wilayah sebagai berikut :  Sebelah Utara : Desa Serang, Sebelah Timur : Desa Salebu,  dan Desa Sukaluyu (Kecamatan Mangunreja),   Sebelah Barat: Desa Salawu, Sebelah Selatan : Desa Sukarasa. Secara Umum penggunaan lahan di Desa Margalaksana sebagian besar dimanfaatkan untuk lahan pertanian tanaman pangan / sawah yaitu + 228 Ha. Selain potensi pertanian, Desa Margalaksana memiliki lahan kosong seluas 8 Ha yang sudah ada lapanagan sepakbola modern terbuka di tengah-tengahnya. Skarang ini lahan sekitarnya akan diperuntukan untuk membangun area hijau terbuka, eco-farming, jogging track, area green playground, dll untuk mewujudkan desa wisata. Permasalahannya adalah, untuk mempromosikan dan mengenalkan area pariwisata di desa tersebut masih bersifat konvensional dan terbatas dari mulut ke mulut. Diperlukan adanya media untuk sosialisasi dan promosi keberaadaan area tersebut lengkap dengan sarana prasarana yang nantinya akan ada dan dibangun, sehingga Desa Margalaksana menjadi lebih dikenal dan terinformasikan dengan baik ke wilayah sekitar.
Community-Based Flood Monitoring and Mitigation Education through the Implementation of Biopore Systems in Cangkuang Kulon Village Rd. Rohmat Saedudin; Cindy Muhdiantini; Mega Fitri Yani
NJCOM: Community Service Journal Vol. 2 No. 2 (2026): JULY
Publisher : RAM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.21629704

Abstract

Floods are among the most common hydrometeorological disasters in Indonesia and have significant impacts on the social and economic well-being of communities. Cangkuang Kulon Village, Bandung Regency, is one of the areas vulnerable to flooding, highlighting the need to strengthen community capacity in disaster mitigation. This community service program aimed to enhance public understanding of community-based flood monitoring and mitigation through the implementation of biopore systems and the provision of supporting facilities. The activity involved village officials and local community members. The implementation methods included educational sessions, interactive discussions, and the handover of biopore construction equipment. The results indicated an improvement in community understanding of environmental monitoring, the application of biopore systems as a flood mitigation measure, and the importance of community participation in building sustainable disaster preparedness.
Optimizing TelCo Digital Transformation through Ambidextrous Cloud Governance with COBIT 2019 Traditional and DevOps Approaches Aria Riezki Fhadila; Rahmat Mulyana; Rd. Rohmat Saedudin
Jurnal Nasional Pendidikan Teknik Informatika: JANAPATI Vol. 14 No. 3 (2025)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v14i3.101153

Abstract

Cloud computing is a key enabler of digital transformation in telecommunications companies, offering flexibility, scalability, and innovation. However, it also presents governance challenges in balancing agility with control, especially in regulated environments. This study examines a state owned TelCo undergoing digital transformation to design an ambidextrous cloud governance model that integrates COBIT 2019 Traditional and DevOps Focus Area frameworks. Using a Design Science Research (DSR) method, data were collected through interviews with IT and business stakeholders and analyzed alongside internal policies and national regulations, including SOE Minister Regulation No. 3/2023 and ICT Minister Regulation No. 5/2021. The research prioritizes Governance and Management Objectives (GMOs) based on COBIT 2019 design factors and DevOps practices. DSS04 (Managed Continuity) emerged as the top priority GMO due to its critical risk and business impact. A maturity gap analysis revealed key weaknesses in roles, training, scenario planning, resilience testing, IaC adoption, and incident response automation. Improvements include integrating cloud roles into BCM, regular continuity simulations, early-stage “what-if” planning, DevOps-based testing with Chaos Engineering, full IaC implementation, and enhanced automation features. These steps are expected to raise DSS04 maturity from 3.7 to 3.9, improving resilience and compliance. The proposed model uses Resource-Risk-Value (RRV) analysis for prioritization, offering a structured and scalable governance solution to support TelCo’s digital transformation while ensuring robust continuity.
Co-Authors Abd-Alwahab, Shams N. Abel Nathalia Widyastoro Adityas Adityas Adityas Widjadjarto Adityas Widjajarto Adiyatma Sadya Nugraha Afif, Zehan Afizah Ahmad Fakhri Rizaldi Aida Mustapha Aida Mustapha, Aida Alfinansyah, Muhammad Dzaki Alfrianiko Anggriawan Alfrianiko Anggriawan Alfrianiko Anggriawan, Alfrianiko Aljanabi, Mohammad Amelia Kurniawati Ananda Anggie Nur Aini Ananda Fiqri Firdaus Ananda Risya Triani Angelia Lionardi Angelia Lionardi Anis Farihan Mat Raffei Ankhal, Rian Bimo Anwar Sadat Anwar x Anwar Sadat Aria Fajar Ramdhany Aria Riezki Fhadila Ariq Yumna Mubarok Arvel Kennard Yeremia Arya Abhirama Avon Budiono Avon Budiono Avon Budiyono Azie, Febryan Elfanuary Bambang Tejo Kusumo BASUKI RAHMAD Basuki Rahmat Berka Irfansyah Berlian Maulidya Izzati Birahmatika, Raafi Asta Budi Praptono Budiono, Avon Caudinata, Owen Chatleen Prycilia Ompi Choon Sen Seah Cindy Muhdiantin Sembiring Daffa, Raihan Dafin Dafwatul Yudha David Tri Wijayanto Defni, - Deya Ika Wardani Dicky Dwi Kurniawan Putra Dicky Hidayat Dida Diah Damayanti Ebraheem, Hind Raad Fadhila, Muhammad Hilman Fajrin, Salsa Fauziyyah Faqih Hamami Farras Naim Fatin, Kanza Jilan Fatur Rachman Rasyid Fauzi, Rokhman Febryan Elfanuary Azie Fiega Dwi Novwari Fikri, Daffa Ilham Firdayakusmawarni Firdayakusmawarni Fitri Febriana Purba Fitri Febriana Purba, Fitri Febriana Fransiskus Tatas Dwi Atmaji Hamim Maafifa Nugraha Harizillah, M Ahyar Haryasena Panduwiyasa Haseeb Ali Hediyanto, Umar Yunan K.s. Himatul Zulfa Ibnu Caesar Ibnu Caesar, Ibnu Ibnu Yazid Ikhwana Ibrahim Hanif Alkhalil Ihfan Aditya Ghafur Ihfan Aditya Ghafur Ilham Auliya Rahman Intan Dwi Ariesta Putri Irfan Dwi Rahadianto Ismail, Mohd Arfian Ismayana, I Nyoman Gede Iwan Tri Riyadi Yanto Iwan Tri Riyadi Yanto Judi Alhilman, Judi K. S. H., Umar Yunan Kashif Hussain Kurniawan , MT. Kurniawan Kurniawan Kurniawan Kurniawan, M. Teguh Kurniawan, MT Kurniawan, MT. Lau Tian Rui Ling, Teng Mee Lingga Priyadi Luthfi Ramadhani Sembiring M Teguh Kurniawan M. Rafi M. Rifadh Asjad Mario Mario Mega Fitri Yani Meisya Robiatul Adawiyah Mochamad Hafiz Kurniawan Mochamad Teguh Kurniawan Mohamad Rizky Utomo Mohamad Tohir Mohd Arfian Ismail Mohd Farhan Md Fudzee Mohd Najib Mohd Salleh Mohd Saberi Mohamad Muhamad Rizky Rifaldi Muhammad Amanulloh Mz Muhammad Dwi Hary Sandy Muhammad Fadhil Muhammad Faheem Mushtaq Muhammad Fathinuddin Muhammad Fauzan Nasrullah Muhammad Fauzan Nasrullah Muhammad Hafizh Kamil Muhammad Hasbi Abid Ersalan Muhammad Ilham Zakky Mubarrak Muhammad Iqbal Muhammad Reyza Yana Putra Muhdiantini, Cindy Munansyah, Ahmad Mustafa Mat Deris Nabilla Noor Rizqi Nasrullah, Muhammad Fauzan Naufan, Zidni Ilman Nazim Razali Nenden Eva Nenden Eva Nenden Eva Meilani Herlina Nenden Eva Meilani Herlina Ni Kadek Dewi Pradnyawati Nicolaus Advendea Prakoso Indaryono Nicolaus Advendea Prakoso Indaryono Nina Nursetia Ningrum Noor Azah Samsudin Nor Afifah Shafin Nor Hazana Abdullah Norhalina Senan Novi Andriani, Novi Nur Ismianah Nur Syaza Izzati Mohd Rafei Oskar Halomoan Manalu Panji Permana Syahid Perkasa, Bimasetya Pradana, Subhan Ari Raka Putra, Faris Aufar Putri , Nabillah Verizky R. Wahjoe Witjaksono R. Yunendah Nur Fu’adah Rachmadita Andeswari Raharjo Putra Kurniadi Rahayu, Fresa Febrianti Rahma Karina Rahma Karina Rahman, Ilham Auliya Rahmat Mulyana Rahmiati Aulia Rajif Rizal Fahlevi Ramadhan , Farhan Ramos Wilfred Situmorang Razali, Nazim Rd. Panji Erdinanda Pandu Jiwatama Regi Alvino Revi Fahreza Al Hazmi Reza Satya Rahmawan Richard Sembiring Richard Tryas Sembiring Ridha Hanafi Riksa Belasunda Rizki Yantami Arumsari Rodziah Atan Rohayanti Hassan Ronal Hadi Rui, Lau Tian Safitra, Muhammad Fakhrul Sahrial Hasan Wicaksana Samuel Putra Hari Satryo Dwi Sutrisno Sayyid Taufiq Abdulhafizh Sayyid Taufiq Abdulhafizh Selvi Marcellia Sely Novita Sari Seno Adi Putra Septian Sony Hermawan Septian Sony Hermawan Septiya Mutiara Septiya Mutiara Septo, Umar Yunan Kurnia Shahreen Kasim Shahreen Kasim, Shahreen Shinta Meiliana Herdiani Singgih Krismarwantoni Sadino Siti Hajar Komariah Sulistijono Sulistijono Sumanto Lesmana Putra Sutoyo, Edi Sutrisno Sutrisno Sutrisno Sutrisno Syarah Tazkiatun Nupus Syifa Sofiaturrohmah Syihan Qaes Yamani Syinta Kesuma Aisyah Tarjono, Muhamad Felix Nugraha Taufik Nur Adi Tengku Ahmad Riza Tesi Irwani Tesi Irwani, Tesi Triastuty Pardede Triastuty Pardede Triastuty Pardede, Triastuty Tutut Herawan Ugi Chandra Wiguna Umar Y.K.S. Hediyanto Umar Y.K.S. Hediyanto, Umar Y.K.S. Umar Yunan Umar Yunan K. S. H. Umar Yunan KSP Yunan KSP Umar Yunan Kurnia Septo H Umar Yunan Kurnia Septo Hediyanto Vandha Pradwiyasma Widartha Vegi Fransiska Veronika Sari Asih Warih Puspitasari Wawan Tripiawan Wicaksono, Krisna Aji Yasser Sutojoyo Kusumo Yoga Yuniadi Yossy Meidy Wijaya Yossy Meidy Wijaya Yuanika Indanea Zahra Afifa Aulia Zainuri Saringat Zalino, Rama Rafitra Zalmiyah Zakaria Zehan Afizah Afif