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All Journal Journal Information System Development Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Sains Teknologi dan Sistem Informasi Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Jurnal Manajemen Informatika dan Bisnis Digital Journal of Data Mining and Information Systems Jurnal Malikussaleh Mengabdi Engagement: Jurnal Pengabdian Kepada Masyarakat Jurnal Sistem Informasi dan Teknologi Jaringan Indonesian Journal of Islamic Jurisprudence, Economic and Legal Theory
Ade Maulana
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Journal : Journal of Data Mining and Information Systems

 1 
Penerapan Information Technology Infrastructure Library di Perusahaan Persero Chandra, Carissa; Chai, Christopher Alexander; Simwim, Gilbert Januar; Maulana, Ade
JDMIS: Journal of Data Mining and Information Systems Vol. 2 No. 1 (2024): February 2024
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/jdmis.v2i1.1597

Abstract

Along with the times, many companies implement IT governance to create effectiveness and efficiency that can grow the company to become faster and bigger. The purpose of this paperwork is to find out the weaknesses and strengths regarding the implementation of IT governance, as well as lessons learned from PT Pos Indonesia Balikpapan City, PT Telkomsel, and PT PLN. The use of methods and data collection in making paperwork is through qualitative analysis and library research. From the research results, it can be stated that service quality is an important thing in these state-owned companies because it can affect customer satisfaction and requires the Information Technology Infrastructure Library version 3.0 (ITILv3) framework in evaluating or managing IT services effectively and efficiently.
Manajemen Layanan Teknologi Informasi Perusahaan Perseroan Menggunakan Information Technology Infrastructure Library Service Operation: Literature Review Tjonadi, Callista; Wijaya, Khellyn Viorensa; Roselin, Vanesia; Natalie, Vellyn; Maulana, Ade
JDMIS: Journal of Data Mining and Information Systems Vol. 1 No. 2 (2023): August 2023
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/jdmis.v1i2.1611

Abstract

At this time, information technology is growing rapidly in various business fields. To provide good service, IT Service Management is implemented. Service Management can provide value to be implemented by companies, one of which is by implementing the ITIL framework which consists of several services but in this journal will focus on Service Operations. The research method applied is qualitative research which analyzes the data in depth. From the results of the research conducted, it is known that there are several companies that have not implemented Service Operations optimally, even so Service Operations still have a role within the company. The processes contained in Service Operations such as Event Management, Problem Management, Incident Management, Request Fulfillment, and Access Management have an important role so that the systems within the company's companies run according to the goals and wishes of customers, there are implementations made to assess IT service operations which will show the maturity level of existing processes, some create strategies using Customer Relationship Management, some create SOPs using the PDCA method, and some implement Service Operations by improving services.
Tinjauan Terhadap Kerangka Kerja Enterprise Architecture: Analisis Perbandingan Studi Kasus di Perguruan Tinggi Albert, Brian; Tantono, Calvin; Chainatra, Derick; Tanoto, Jackie; Halim, Marcello Stevin; Maulana, Ade
JDMIS: Journal of Data Mining and Information Systems Vol. 2 No. 2 (2024): August 2024
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/jdmis.v2i2.1896

Abstract

Pada setiap arsitektur perusahaan terdapat kerangka kerja yang dapat dijadikan acuan dalam menjadikan aktivitas dalam merancang dan mengembangkan arsitektur perusahaan tersebut. Banyaknya kerangka kerja yang dapat dijadikan panduan dalam melakukan aktivitas tersebut menyebabkan perbedaan dalam mengaplikasikan aktivitas kerangka kerja yang sama. Aktivitias yang akan dilakukan pada penelitian ini akan dilakukan dengan tahapan studi literatur dan perbandingan terhadap setiap tahapan atau aktivitas yang ada pada kerangka kerja TOGAF ADM. TOGAF ADM merupakan salah satu kerangka kerja arsitektur perusahaan yang terdiri dari sembilan tahapan didalamnya. Aktivitas tersebut biasanya terdapat empat tingkat seperti bisnis, data, aplikasi, dan teknologi. Hasil dari perbandingan setiap tahapan atau aktivitas kerangka kerja TOGAF ADM, didapatkan suatu aktivitas inti yang harus dilakukan untuk mencapai kerangka kerja yang efektif. Dengan dilakukannya keempat tahapan itu, maka struktur dari arsitektur perusahaan sudah terbentuk dengan jelas dan rinci. Meskipun beberapa aktivitas tidak dilakukan atau dilaksanakan, tujuan dari arsitek perusahaan tersebut sudah dapat terstruktur dengan baik.
Kajian Literatur terhadap Penerapan Enterprise Architecture dalam Institusi Pendidikan Halim, Daniel Lexandrosth; Cuaca, Davidsen; Chenardy, John Michael; Felix, Owen; Maulana, Ade
JDMIS: Journal of Data Mining and Information Systems Vol. 2 No. 2 (2024): August 2024
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/jdmis.v2i2.2983

Abstract

Enterprise Architecture (EA) merupakan sebuah kerangka kerja yang membantu pengembangan tata Kelola sebuah bisnis. Namun dalam beberapa institusi Pendidikan, sering menghadapi kendala seperti kompleksitas tinggi dan kurangnya integrasi dalam sebuah sistem informasi yang dibangun. Sehingga, penelitian ini bertujuan untuk menunjukkan dampak positif penerapan Enterprise Architecture (EA) dan memberikan wawasan mengenai berbagai metode dalam penerapan EA.Penelitian ini menggunakan metode kualitatif. Teknik pengumpulan data dalam penelitian ini menggunakan metode literature review melalui berbagai database akademik. Berdasarkan hasil penelitian menunjukkan bahwa institusi pendidikan menghadapi tantangan dalam mengelola data kompleks dan koordinasi antar sistem, yang dapat diatasi dengan implementasi Enterprise Architecture (EA) menggunakan kerangka kerja seperti TOGAF ADM,dll. Penelitian ini menitikberatkan pada lima jenis arsitektur: visi, bisnis, data/informasi, teknologi, dan aplikasi, dengan metode analisis seperti Value Chain, Use Case, ERD, Class Diagram, dan McFarlan’s Strategic Grid. Kesimpulannya, penerapan EA dengan kerangka kerja dan metode analisis yang efektif dapat meningkatkan integrasi sistem informasi, meningkatkan akurasi data, efisiensi operasional, optimalisasi sumber daya, dan dan mendukung pencapaian visi serta misi institusi pendidikan.
Studi Literatur Perancangan Arsitektur Data dan Aplikasi pada Perusahaan Telekomunikasi Jason, Jason; Sutanto, Jefferson; Angkasa, Verrel; Darmana, Vicky; Maulana, Ade
JDMIS: Journal of Data Mining and Information Systems Vol. 3 No. 1 (2025): February 2025
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/jdmis.v3i1.3004

Abstract

Enterprise Architecture (EA) serves as a blueprint for aligning business processes and IT systems to achieve organizational objectives. It provides a structured framework for integrating and optimizing various business units, enhancing overall effectiveness and maximizing outcomes. A well-defined EA is crucial for achieving business success. This research delves into the analysis of data and application modeling approaches in EA frameworks. Telecommunication companies, like other organizations, rely on EA to integrate and align their business processes and data with their corporate mission. Employing a qualitative literature review methodology, this study aims to identify the most prevalent data and application modeling approaches in EA frameworks, providing valuable insights for telecommunication companies seeking to refine their EA models in the future.
Penerapan Algoritma K-Nearest Neighbors untuk Klasifikasi Kualitas Air Minum Jansen, Jansen; Tanova, Cariven; Dariel, Dariel; Marciano, Marciano; Maulana, Ade
JDMIS: Journal of Data Mining and Information Systems Vol. 3 No. 2 (2025): August 2025
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/jdmis.v3i2.4513

Abstract

This study aims to classify drinking water potability based on physical and chemical parameters using the K-Nearest Neighbors (KNN) algorithm. The dataset, sourced from the Kaggle platform, contains 100,000 water samples with nine key attributes, including pH, hardness, total dissolved solids (TDS), sulfate, chloramines, conductivity, organic carbon, trihalomethanes, and turbidity. The target label is potability, indicating whether the water is safe (1) or unsafe (0) for consumption. The preprocessing steps included normalization and splitting the data into training and testing sets. The KNN model was trained by experimenting with various K values to achieve optimal performance. Evaluation using a confusion matrix showed that the model achieved an accuracy of 78%. For the potable class, the model reached a precision of 72%, recall of 91%, and F1-score of 81%. For the non-potable class, it achieved a precision of 88%, recall of 65%, and F1-score of 75%. Although the model tends to misclassify unsafe water as safe, overall performance is promising. These findings suggest that the KNN algorithm can serve as an effective classification approach and has potential for application in automated water quality monitoring systems.
Co-Authors Abdul Munif Adhitya Pratama, Yudhistira Aditya Kristanto Albert, Brian Angkasa, Verrel Asima Manurung Barus, Okky Putra Brian Ramadhan Cahyadi, Rico Calista Chandra Calvin Wendy Chai, Christopher Alexander Chainatra, Derick Chandra, Carissa Chenardy, John Michael Cuaca, Davidsen Darianty, Rosita Dariel, Dariel Darmana, Vicky Davidsen Cuaca Derick Chainatra Desinta Yamasan Rusli Djoko Hananto Dulianto, Des Elrico Tanto Jaya Fachri Darmawan Felix, Owen Fernand William Citra Florenza Jovana Gunawan, Jason Andrew Halim, Daniel Lexandrosth Halim, Marcello Stevin Harefa, Ade May Luky Haryati Jansen, Jansen Jason, Jason Kevin Aditya Santoso Kholik, Muhamad Abdul King, Chintya Angel Lee, James Rafferty Marciano, Marciano Maruf, Fachdika Neza Mitasari Nababan, Adli Abdillah Nababan, Arif Hamied Natalie, Vellyn Owen Felix Pangaribuan, Jefri Junifer Phan, Wincent Coleus Priscilla, Priscilla Putra, Purwa Hasan Rico Cahyadi Roselin, Vanesia Rosita Darianty Sabrina Jovanka Silver, Charlene Simwim, Gilbert Januar Stephanie Stephanie Stephanie Sunario, Imelda Sutanto, Jefferson Tanoto, Jackie Tanova, Cariven Tantono, Calvin Tjonadi, Callista Triandes Sinaga Wijaya, Frans Wijaya, Khellyn Viorensa Winar Joko Alexander Yudhistira Adhitya Pratama Zulfaidah, Rena