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All Journal Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Muara Ilmu Sosial, Humaniora, dan Seni Psibernetika JURNAL PENDIDIKAN MIPA Didaktik : Jurnal Ilmiah PGSD STKIP Subang Jurnal Bakti Masyarakat Indonesia Prosiding Seri Seminar Nasional Jurnal Psikologi Universitas Gadjah Mada Cerdika: Jurnal Ilmiah Indonesia Journal of Innovative and Creativity Jurnal Cendekia Ilmiah
Tiatri, Sri
Fakultas Psikologi Universitas Tarumanagara
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Design of a Data Mart for Optimizing Product Sales Analysis at PT. X Samantha, Velline; Beng, Jap Tji; Trisnawarman, Dedi; Tiatri, Sri; Salsabila, Tasya Mulia; Sefira, Fasia Meta; Zahro, Tiara; Latupono, Sania Alikha Rahmadira
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 14, No 3: Desember 2025
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v14i3.3158

Abstract

With the advancement of technology, companies can now efficiently manage and analyze their data, providing valuable insights that support better business decisions. PT. X is one such company that wants to leverage this capability to optimize its sales data analysis. Therefore, the goal of this study is to design an effective data mart. During the development process, we used Kimbal's Nine-Step Methodology alongside the ETL (extract, transform, load) process to ensure the data was accurately extracted, transformed, and loaded into the data mart. The outcome of this research is a data mart and star schema tailored to PT. X specific needs. Testing results showed that query execution time increased by 40% and data accuracy improved by 80%. Report generation time was also optimized, resulting in a process that was 83% faster. These results demonstrate how a well-structured data mart can improve decision-making efficiency and data reliability. 
Analytical Hierarchy Process Method of Prosthetic and Orthotic Materials for Patient Needs Nurkholiza, Rahmiyana; Beng, Jap Tji; Wasino, Wasino; Tiatri, Sri; Sam, Toong Hai; Anolin, Ann G.; Castillo, Sheryll Ann M.; Dinatha, Vienchenzia Oeyta Dwitama
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 14, No 3: Desember 2025
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v14i3.3159

Abstract

This study highlights the importance of optimising assistive devices for people with disability, as the law says in Law No. 8 of 2016. Ligar Mandiri Prosthetics and Orthopaedics Clinic offer related services, where choosing the right materials is getting more complicated because of fast tech advances and lots of options like carbon fibre, plastic, and titanium. This study aims to develop a Decision Support System (DSS) to assist practitioners in selecting materials based on quality, cost, and production time criteria. The alternatives evaluated include local, semi-imported, and imported materials. Using the Analytic Hierarchy Process (AHP) method, the analysis shows that imported materials received the highest ranking (0.54708), followed by local materials (0.24157) and semi-imported materials (0.21155). The DSS developed in this study has enhanced the accuracy, efficiency, and transparency of decision-making, thereby supporting practitioners in providing effective and reliable prosthetic and orthotic solutions. 
Designing a Data Mart at the Indonesian Psychological Healthcare Center Using Pentaho Angela, Octarifa; Beng, Jap Tji; Trisnawarman, Dedi; Tiatri, Sri; Sam, Toong Hai; Guanco, Rhalf Jayson F.; Nurkholiza, Rahmiyana; Dinatha, Vienchenzia Oeyta Dwitama
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 14, No 3: Desember 2025
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v14i3.3153

Abstract

Critical data is essential for organisational success, providing essential information for decision-making. This study focuses on the Indonesian Mental Health Centre (IndoPsyCare), which utilises data to improve service performance. The research aims to design a data mart to support analytical needs by transforming the Online Transaction Processing (OLTP) database into Online Analytical Processing (OLAP). This design follows Kimball's Nine-Step Approach and integrates the Extract, Transform, Load (ETL) process. Data was collected from August 2023 to August 2024 through interviews and electronic documentation. The system was implemented using Microsoft SQL Server Management Studio 18 and Pentaho Data Integration. The resulting data mart uses a star schema with fact and dimension tables tailored to stakeholder needs, particularly in appointment analysis. Findings indicate that the data mart facilitates efficient access, targeted analysis, and improved query performance, thereby supporting IndoPsyCare's decision-making and overall service optimisation. 
Hubungan Kebermaknaan Kerja dengan Tingkat Motivasi Kerja Individu Pada Gen-Z Ruth Stevani Natalia M; Chelsea Indriani; Shanon Jieling Kurniawan; Nazwa Rahma Aulia; Sri Tiatri
Journal of Innovative and Creativity Vol. 5 No. 2 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i2.1000

Abstract

Penelitian ini bertujuan untuk menguji hubungan antara kebermaknaan kerja dan tingkat motivasi kerja pada individu Gen Z, serta menganalisis perbedaan kebermaknaan kerja berdasarkan jenis kelamin dan lama bekerja. Metode penelitian yang digunakan adalah korelasional prediktif dengan pendekatan kuantitatif. Partisipan berjumlah 109 karyawan Gen Z (usia 18-27 tahun), berstatus karyawan aktif dengan masa kerja minimal 1 tahun, dan berdomisili di Jabodetabek, yang direkrut dari PT X dan PT Y. Alat ukur yang digunakan adalah Work as Meaning Inventory (WAMI) dan Multidimensional Work Motivation Scale (MWMS). Analisis data menggunakan statistik deskriptif, uji normalitas, uji reliabilitas Cronbach's Alpha, dan uji korelasi Spearman. Hasil penelitian menunjukkan bahwa data tidak terdistribusi normal. Ditemukan adanya hubungan positif yang signifikan antara kebermaknaan kerja dan motivasi kerja (ρ=0.665,p<0.000). Mayoritas partisipan memiliki tingkat kebermaknaan kerja (98.2%) dan motivasi kerja (90.8%) yang tinggi. Selain itu, terdapat perbedaan signifikan pada tingkat kebermaknaan kerja berdasarkan jenis kelamin (p=0.003), di mana laki-laki memiliki tingkat kebermaknaan kerja yang lebih tinggi, dan berdasarkan lama bekerja (p=0.036), di mana individu dengan masa kerja lebih dari 1 tahun menunjukkan kebermaknaan kerja yang lebih tinggi. Temuan ini menggarisbawahi pentingnya kebermaknaan kerja sebagai pendorong motivasi pada Gen Z dan implikasinya bagi praktik manajemen sumber daya manusia.
Designing a Dashboard for Sales Trends and Analysis at Coventown Glodok Jakarta Salsabila, Tasya Mulia; Beng, Jap Tji; Trisnawarman, Dedi; Tiatri, Sri; Sam, Toong Hai; Lunzaga, Ele; Nurkholiza, Rahmiyana; Dinatha, Vienchenzia Oeyta Dwitama
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 14, No 3: Desember 2025
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v14i3.3156

Abstract

Coventown is a coffee shop with a Chinese theme located in the Petak Enam Glodok area, Jakarta. The sales dashboard design allows Coventown Glodok Jakarta to identify sales patterns, and predict sales performance through historical data analysis. This study aims to present data in easy-to-understand visualizations to demonstrate the use of dashboards in improving the efficiency of sales monitoring, providing strategic insights into trends, and achieving sales targets to support more precise and effective decision-making. The prototype development iterations were planned quickly, and the data was processed using Microsoft Power BI and the Python programming language. The results of this study show that the sales dashboard at Coventown Glodok Jakarta effectively monitors sales in line with Key Performance Indicators (KPIs) such as time, category, product, price, and quantity. The resulting dashboard improves the efficiency of monitoring sales performance and helps the company display sales trends for best-selling products.  
Data Warehouse for Study Program Accreditation Data Management at Private University X Putri, Tifani Anasya; Beng, Jap Tji; Trisnawarman, Dedi; Tiatri, Sri; Nagm, Fouad; Naidas, Michael S.; Salsabila, Tasya Mulia; Nurkholiza, Rahmiyana
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 14, No 3: Desember 2025
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v14i3.3157

Abstract

Technological advancements in the Fourth Industrial Revolution have transformed higher education, yet accreditation processes often suffer from inefficient data management, causing delays, inconsistencies, and limited monitoring of performance indicators. This study designs a data warehouse integrated with a dashboard and Early Warning System (EWS) to improve accreditation data management at University X, West Jakarta. Using Kimball’s Dimensional Model, data were structured into fact and dimension tables, with collection methods including interviews with the Head of the IT Department and document analysis of accreditation processes. Descriptive statistics were applied to identify trends and patterns. The dashboard enables real-time visualisation of key metrics, while the EWS issues alerts on missing or outdated data. Results show that the snowflake schema enhances data organisation and clarity, reducing manual processing and facilitating proactive monitoring. The system supports more efficient accreditation management and strengthens institutional readiness for assessment. 
MERAJUT ETIKA DIGITAL GENERASI Z DENGAN BENANG-BENANG PANCASILA PADA MAHASISWA Valensia Teresa; Jolanda Chatarina Wibawa; Keyzea Michelle Suherman; Felisca Kauwer; Sri Tiatri
Didaktik : Jurnal Ilmiah PGSD STKIP Subang Vol. 11 No. 04 (2025): Volume 10 No. 04 Desember 2025 In Progress
Publisher : STKIP Subang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36989/didaktik.v11i04.9424

Abstract

Era digital memperkuat keterhubungan Generasi Z yang paling akrab dengan teknologi, namun memunculkan risiko etika seperti hoaks, ujaran kebencian, perundungan siber, dan plagiarisme di tengah kesenjangan akses serta literasi digital. Studi ini mengeksplorasi bagaimana mahasiswa Generasi Z merajut etika digital berlandaskan nilai-nilai Pancasila sebagai pedoman moral dan identitas bangsa. Pendekatan kualitatif digunakan dengan purposive sampling; data dikumpulkan melalui wawancara. Temuan menunjukkan nilai Kemanusiaan, Persatuan, dan Keadilan tetap operasional sebagai panduan perilaku digital. Tantangan utama meliputi lemahnya verifikasi informasi, polarisasi opini, serta kesenjangan literasi dan keamanan digital, sementara praktik gotong royong digital dan produksi konten edukatif menegaskan aktualisasi nilai Pancasila di ruang maya. Studi merekomendasikan penguatan literasi dan keamanan digital berbasis Pancasila serta integrasi etika digital kontekstual dalam kurikulum perguruan tinggi melalui kolaborasi pemerintah, kampus, dan komunitas.
Implikasi Generative Artificial Intelligence (GAI) Dependency terhadap Critical Thinking Mahasiswa: A Systematic Review Listra Chatalia Silitonga; Sri Tiatri; Jap Tji Beng; Vienchenzia Oeyta Dwitama Dinatha; Rahmiyana Nurkholiza; Tasya Mulia Salsabila; Tiara Nailah Mahmud; Elga Adhi Bunarwan; Cintya Syarah Azzahra
JURNAL PENDIDIKAN MIPA Vol. 16 No. 3 (2026): JURNAL PENDIDIKAN MIPA
Publisher : Pusat Publikasi Ilmiah, STKIP Taman Siswa Bima

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37630/jpm.v16i3.4325

Abstract

Penggunaan Generative Artificial Intelligence (GAI) sudah terintegrasi dalam kehidupan sehari-hari mahasiswa sebagai sarana bantuan dalam pembelajaran seperti untuk memahami dan meringkas materi dengan cepat, tetapi integrasi ini juga dapat mendorong mahasiswa untuk terlalu bergantung pada respons GAI atau disebut sebagai GAI dependency. Ketergantungan pada GAI dapat mengakibatkan penurunan kemampuan dalam berpikir kritis atau critical thinking, tapi beberapa penelitian menjelaskan penggunaan GAI dapat meningkatkan critical thinking meskipun mahasiswa menyatakan kekhawatiran ketergantungan. Melalui protokol Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), tinjauan ini bertujuan mengevaluasi artikel yang menjelaskan implikasi dari GAI dependency terhadap critical thinking mahasiswa di universitas. Artikel dikumpulkan dari beberapa database, yaitu ScienceDirect, ProQuest, PubMed, dan IEEE, serta dari beberapa publisher seperti Frontiers, Taylor & Francis, dan MDPI. Pengumpulan artikel memiliki total awal 60 artikel dan disaring menjadi 10 artikel akhir yang memenuhi kriteria inklusi. Berdasarkan artikel akhir, GAI dengan kemudahan akses jawaban berdampak cukup besar terhadap penurunan critical thinking mahasiswa yang ditandai dengan rendahnya active reasoning, deep learning, dan ketidakmampuan menilai kebenaran informasi. Tinjauan ini menemukan bahwa implikasi penggunaan GAI terhadap critical thinking mahasiswa dipengaruhi beberapa peran secara unik, seperti literasi informasi, efikasi diri, tingkat keilmuan, bidang keilmuan, dan bimbingan pedagogis.
Co-Authors Ade Ubaidah Adelia Yulindasari Adilatun Nisa Aeda Andianturi Taim Alivia Fitriani Amanto Alivia Fitriani Amanto Amalia Novita Retaminingrum Anakita Pertama Henerges Angela, Octarifa Anolin, Ann G. Beng, Jap Tji Beng, Jap Tji Beta Oktalia Bonar Hutapea Castillo, Sheryll Ann M. Chelsea Indriani Chitta Anugrah Christina Christina Cintya Syarah Azzahra Claudia Fiscarina Desella Chandra Desella Chandra Dinatha, Vienchenzia Oeyta D. Dinatha, Vienchenzia Oeyta Dwitama Elga Adhi Bunarwan Febby Gabriele Reonaldo Felisca Kauwer Fifi Juniarti Fildza Fairuzzia Fransisca I. R. Dewi Fransisca Iriani Roesmala Dewi Grace Anafree Randa Guanco, Rhalf Jayson F. Hai, Sam Toong Hartinah Dinata Heni Mularsih Heni Mularsih Heni Mularsih (Almh) Henny Mularsih Hody Denilson Jap Tji Beng Jolanda Chatarina Wibawa KENI KENI Keyzea Michelle Suherman Khairun Nisa Latupono, Sania Alikha Rahmadira Lavierda Amorita Haryono Listra Chatalia Silitonga Lunzaga, Ele Margareta, Margareta Mei Ie Mira Bella Mirabella Mirabella Mirabella Nagm, Fouad Naidas, Michael S. Nazwa Rahma Aulia Nina Perlita Nina Perlita Nina Perlita Nurkholiza, Rahmiyana Nurkholiza, Rahmiyana Pamela Hendra Heng Putri, Tifani Anasya Rahmah Hastuti Rahmiyana Nurkholiza Rasji Rasji Rita Markus Idulfilastri Rita Markus Idulfilastri Ruminta Ruminta Ruminta Ruminta Ruth Stevani Natalia M Salsabila, Tasya Mulia Salsabila, Tasya Mulia Salsabila, Tasya Mulia Sam, Toong Hai Samantha, Velline Sefira, Fasia Meta Sefira, Fasia Meta Shanon Jieling Kurniawan Soemiarti Patmonodewo Solikhah, Nafiah Supi Catur Nadyastuti Suzanna Juwita Sweet Lovely Panelewen Tania Talitha Harsoyo Tasya Mulia Salsabila Tiara Nailah Mahmud Trisnawarman, Dedi Valensia Teresa Vienchenzia Oeyta Dwitama Dinatha Vivien H. Wangi Wasino, Wasino Yohannes Wijaya Yulia Lestari Tarihoran Yunike Putri Zahro, Tiara Zahro, Tiara