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All Journal Techno.Com: Jurnal Teknologi Informasi Syntax Jurnal Informatika Nuansa Informatika Jurnal Informatika dan Teknik Elektro Terapan IJCIT (Indonesian Journal on Computer and Information Technology) JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Pilar Nusa Mandiri Information Management For Educators And Professionals (IMBI) Jurnal TAM (Technology Acceptance Model) Techno Nusa Mandiri : Journal of Computing and Information Technology JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI INTECOMS: Journal of Information Technology and Computer Science JURNAL PENDIDIKAN TAMBUSAI J-SAKTI (Jurnal Sains Komputer dan Informatika) CSRID (Computer Science Research and Its Development Journal) STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Jurnal Pendidikan dan Konseling Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Generation Journal JATI (Jurnal Mahasiswa Teknik Informatika) Journal Sensi: Strategic of Education in Information System JISA (Jurnal Informatika dan Sains) Jurnal Teknologi Informatika dan Komputer Jurnal Ilmiah Wahana Pendidikan Insyst : Journal of Intelligent System and Computation J-SAKTI (Jurnal Sains Komputer dan Informatika) JUSTIN (Jurnal Sistem dan Teknologi Informasi) Jurnal Manajemen Informatika & Teknologi Jurnal TAM (Technology Acceptance Model)
Nina Sulistiyowati
Universitas Singaperbangsa Karawang
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Mathematics Public Health Social Sciences Other

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Dimensional Data Design for Event Feedback Data Warehouse Fattah, Ahmad Maulana Malik; Ridwan, Taufik; Sulistiyowati, Nina
JISA(Jurnal Informatika dan Sains) Vol 6, No 1 (2023): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v6i1.1648

Abstract

Data is an important asset and a fundamental requirement for building valuable information for organizations. Association of Information Systems Students of Unsika (Himsika) as a university organization provides many events to develop student’s academic and professional skills. A post-event evaluation through a feedback survey was conducted and stored in Google Sheets spreadsheet format. However, the current analysis process using spreadsheets lacks standardization, making it difficult to compare satisfaction rates over time and between events. Additionally, the lack of standardization leads to semi-structured data on spreadsheets, with varying question formats and meanings. To address these limitations, implementing a centralized data warehouse is proposed as a solution. The data warehouse would provide a structured and standardized approach to analyzing event feedback, enabling better comparisons and evaluation of management quality within Himsika. The research aims to design a data warehouse that supports multidimensional analysis. As a way to simplify and optimize analytical queries, the data structure is standardized in the data warehouse. The Four-step Dimensional Design method is applied in designing dimensional modeling on the data warehouse, consisting of four stages including selecting the business process, declaring the grain, identifying the dimensions, and identifying the facts. The design process resulted in 4 dimensions of events, dim_instances, dim_degree_programs, and dim_professions, and a fact table called fact_rates_by_responses. Overall, the proposed data warehouse and dimensional modeling approach aim to enhance the analysis and evaluation of Himsika’s events.
ANALISIS POLA PEMBELIAN KOMBINASI PRODUK PADA UMKM YOUNAHIJAB.ID DI SHOPEE MENGGUNAKAN ALGORITMA APRIORI (STUDI KASUS: YOUNAHIJAB.ID) Solihah, Frisca Dwi Imroatus; Hannie, Hannie; Ma'sum, Aziz; Ridwan, Taufik; Sulistiyowati, Nina
JUSTIN (Jurnal Sistem dan Teknologi Informasi) Vol 14, No 1 (2026)
Publisher : Jurusan Informatika Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/justin.v14i1.94749

Abstract

Persaingan yang semakin ketat di platform e-commerce seperti Shopee menuntut pelaku UMKM untuk mengembangkan strategi pemasaran berbasis data agar tetap kompetitif. Younahijab.id merupakan salah satu UMKM di bidang fashion muslimah yang mengalami penurunan penjualan pada tahun 2024. Kondisi ini menyebabkan penurunan omzet dan penumpukan stok produk yang tidak terjual. Oleh karena itu, penelitian ini bertujuan untuk menganalisis pola pembelian konsumen menggunakan pendekatan data mining guna merumuskan strategi bundling produk yang efektif sesuai kebiasaan belanja pelanggan. Metode yang digunakan adalah Association Rule Mining dengan algoritma Apriori serta menerapkan tahapan Knowledge Discovery in Database (KDD), yang mencakup data selection, data cleaning, data transformation, data mining, dan evaluation. Data yang digunakan berasal dari 11.055 transaksi penjualan Younahijab.id di Shopee selama Januari hingga Desember 2024. Hasil penelitian ini memberikan rekomendasi strategi bisnis bundling produk berdasarkan pola 1-itemset dan 2-itemset, dengan total sebanyak 24 frequent itemsets. Dengan parameter minimum support sebesar 3%, confidence 30%, dan lift 2,0, ditemukan tiga aturan asosiasi utama, yaitu aturan antara produk P0015 dan P0004 dengan nilai confidence sebesar 55,67% dan lift 2,78, serta asosiasi terkuat antara produk P0008 dan P0006 dengan nilai confidence 76,43% dan lift 2,67. Penelitian ini diharapkan dapat meningkatkan efektivitas promosi, mempercepat perputaran stok, dan mendorong peningkatan penjualan Younahijab.id di Shopee.
K-MEANS CLUSTERING OF INDONESIAN BANKING STOCKS USING FINANCIAL RATIOS Fajar Rizki Aditiya; Nina Sulistiyowati; Siska
Jurnal Techno Nusa Mandiri Vol. 23 No. 1 (2026): Techno Nusa Mandiri : Journal of Computing and Information Technology Period o
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/dfsypr32

Abstract

This study aims to classify banking sector issuers listed on the Indonesia Stock Exchange based on financial ratios, namely Return on Assets (ROA), Return on Equity (ROE), and Loan to Deposit Ratio (LDR), to assist investors in analyzing financial performance and making more objective investment decisions. The method used in this study is Knowledge Discovery in Databases (KDD) with the K-Means clustering algorithm. The dataset was obtained from the annual financial reports of 25 banking issuers for the period 2022–2024. The research stages consist of data selection, data cleaning, data transformation, data mining, and interpretation/evaluation. In the transformation stage, the average values of ROA, ROE, and LDR were calculated and normalized using the Min-Max method. The optimal number of clusters was determined using the Elbow method, while cluster quality was evaluated using the Silhouette Coefficient. The results indicate that the optimal number of clusters is three with a Silhouette Coefficient value of 0.5946. The clustering results consist of a dominant cluster containing 22 issuers with relatively stable financial performance, a second cluster consisting of two issuers characterized by higher lending activity and relatively higher risk, and a third cluster containing one issuer with significantly lower financial performance. These findings reveal latent patterns among banking issuers that may not be easily identified through conventional ratio analysis and provide a clearer structural overview of banking sector performance to support investment evaluation. These insights provide a clearer structural overview of the banking sector and may assist investors in identifying banks with comparable financial risk and performance profiles.
Analytical Dashboard Information System Audit Using COBIT 5 Framework to Support PT Vinix Seven Aurum's Decisions Chamila Meyra Aziza; Nina Sulistiyowati; Apriade Voutama
Jurnal Teknologi Informatika dan Komputer Vol. 12 No. 1 (2026): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v12i1.3400

Abstract

The development of information technology encourages organizations to utilize information systems to support data management and decision-making processes. One form of information technology utilization is the use of analytical dashboard applications that can present information visually and in an integrated manner, enabling management to monitor organizational performance and conditions more effectively. However, the use of information systems needs to be evaluated periodically to ensure that the system is managed effectively, efficiently, and in accordance with good information technology governance principles. This study aims to conduct an information system audit of the analytical dashboard application at PT Vinix Seven Aurum using the COBIT 5 framework with a focus on the Deliver, Service and Support (DSS) domain, particularly DSS01, DSS02, and DSS03. The research method used is a quantitative descriptive method with data collection techniques including observation, interviews, and questionnaire distribution to parties involved in information system management. Data analysis was carried out using the COBIT 5 Process Capability Model to determine the capability level of the existing information technology processes. The results show that the management of information systems in the DSS domain has been running fairly well; however, there are still several gaps between the current conditions and the expected capability level. Therefore, improvements are needed in several aspects of system management. The results of this study are expected to provide recommendations for organizations to improve the effectiveness of information technology governance so that the analytical dashboard system can support decision-making processes more optimally.
Perancangan UI/UX pada Website Momsky dengan Metode User Centered Design Philips Lyionick Corint; Hannie Hannie; Nina Sulistiyowati
Jurnal Manajemen Informatika & Teknologi Vol. 6 No. 1 (2026): Mei : Jurnal Manajemen Informatika & Teknologi
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/mifortekh.v6i1.1212

Abstract

This research investigates the UI/UX design of the Momsky website employing the User-Centered Design (UCD) methodology to address challenges associated with manual ordering systems, which lead to order inaccuracies, extended customer queues, and communication gaps. The study's objective is to develop a refined website prototype that enhances user usability and overall experience. The UCD approach was systematically applied through five core stages: planning the user-centered process, specifying the context of use, defining user requirements, producing design solutions, and evaluating the design against user requirements. The design and prototyping phases were executed using Figma, yielding wireframes and interactive prototypes for user testing. System evaluation was conducted using the System Usability Scale (SUS) and the User Experience Questionnaire (UEQ). The SUS evaluation, involving 80 respondents, yielded an average score of 76.84, classifying the prototype as acceptable with good usability. Concurrently, the UEQ analysis demonstrated positive user perceptions across key aspects, notably attractiveness, perspicuity, and efficiency, indicating a visually appealing, comprehensible, and effective interface. Consequently, the developed Momsky website prototype effectively mitigates the issues of manual ordering and elevates the user experience. The findings are posited to serve as a foundational basis for the subsequent implementation of the Momsky online ordering system.
Co-Authors adawiyah, noviya Ade Andri Hendriadi Adhi Rizal Agustin, Amellia Veronica Aldi Jakaria Alfian Yunianto Suseno Apriade Voutama Azahri, Mutiara Azhari Ali Ridha Bagus Aji Pangestu Bella Nurseptia Chamila Meyra Aziza Dea Safryda Putri Dewi Septiani Eshardiansyah, Raka Putra Fahmi Husaeni Fajar Rizki Aditiya Fathiarahma, Arsya Fattah, Ahmad Maulana Malik Fibriyanti Arminda, Nanda Garno, Garno Giat Subroto Hanifah Rahmat, Novi Hannie, Hannie Hannie, Hannie Heryana, Nono Iqbaal Aditya Maulana Isnin Apriyatin Ropikoh Lesmana, Rudi Wildantoro Ma'sum, Aziz Maulida, Nabila Meila Azzahra Sofyan, Fazrin Muhamad Rizky Abadi Muhammad Fiqri Widiyantoro Nabila Aurelia Rahma Nikko Aldiana Kristiawan Nur Arifin Nur Padilah, Tesa Nursanti, Siti Padilah, Tesa Nur Philips Lyionick Corint Purwantoro Purwantoro Resti Noor Fahmi Ridho, Azhari Ali Rijal Abdulhakim Rizkiansyah, Rizkiansyah Salsabila, Alysa Salsabila, Nikita Siska Siska Siska Sofi Defiyanti Solihah, Frisca Dwi Imroatus Taufik Ridwan, Taufik Tayo, Yanti Tobing, Benny Christo Lumban Ultach Enri Ultach Enri Ummi Kulsum Yuanita Setyastuti Yunadi, Dian Yunidharta, Firdaus Yunitasari Yunitasari