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Journal : Jurnal Tekinkom (Teknik Informasi dan Komputer)

PERANCANGAN SISTEM INFORMASI BUKU TABUNGAN MENGGUNAKAN ORACLE APPLICATION DEVELOPMENT FRAMEWORK PT. ASURANSI SINARMAS Getsemani Salisa Margaretha; Magdalena Ariance Ineke Pakereng
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 5 No 1 (2022)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v5i1.513

Abstract

A bank book is something that is needed by a customer, both a company and an individual. This is because the function of the bank book itself is as a system that records details of the entry and exit of money in the passbook, checking balances, monthly reports for incoming deposits, and so on. so that it is not uncommon for many well-known companies in Indonesia and abroad to create systems that design a company's financial records, such as P. Asuransi Sinarmas who also designs a bank book system with the tools used are Oracle Java Application Development Framework (oracle). ADF) and Oracle MySQL as data storage. Oracle is widely used by companies because it has several advantages in the amount of data it handles is very large, processes data quickly and accurately has a good ability to perform server clusters and database system management, can restore databases, and is multi-platform, can be used on other operating systems such as Mac and Linux.
ANALISIS DAN PERANCANGAN SISTEM INVENTARISASI ASET PADA PT. BANGUNINDO TEKNUSA JAYA Agnes Meilosa Callysta; Magdalena Ariance Ineke Pakereng
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 5 No 1 (2022)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v5i1.499

Abstract

Asset inventory is an effort to collect data, record, report the results of asset data collection and then document it. PT. Bangunindo Teknusa Jaya is a technology company. Previously PT. Bangunindo Teknusa Jaya already has a website, but the website does not yet have a company asset inventory system. With the creation of an asset inventory system, it is hoped that this system can assist in recording asset loans and collecting company asset data. In making an asset inventory system, the method used is the Waterfall Method. The Waterfall Method has 5 steps: (1) Requirements, (2) Design, (3) Implementation, (4) Verification, and (5) Maintenance. Asset Inventory Information System PT. Bangunindo Teknusa Jaya is designed using Unified Modeling Language (UML) diagrams, namely Use Case Diagrams, Class Diagrams, and Activity Diagrams. The UML diagram of the asset inventory system uses StarUML tools, while the design of the asset inventory system uses MarvelApp. From the research that has been done, it produces a system that can help admins in saving time in data collection and transactions for borrowing company assets so that the admin's work becomes more effective and efficient.
ANALISIS USER EXPERIENCE MAHASISWA TERHADAP SISTEM INFORMASI SIASAT MENGGUNAKAN USER EXPERIENCE QUESTIONNAIRE Eirene Claudia Ratmoko; Magdalena Ariance Ineke Pakereng
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 5 No 1 (2022)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v5i1.498

Abstract

The current development of information systems needs to be reviewed whether the quality of the information system is able to answer the needs of its users. One of the information system technologies is the Satya Wacana Academic Information System (SIASAT), which until now there has been no research that discusses the level of user experience satisfaction when using the SIASAT. Therefore, an analysis of the student SIASAT user experience was carried out using the User Experience Questionnaire (UEQ) method. UEQ is a measurement measured from aspects of its use and aspects of experience including compressive impressions with a questionnaire scale. UEQ has 26 questions covering 6 scales, including the attractiveness, perspicuity, efficiency, dependability, stimulation, and novelty scales. The final result of the study concluded that for the attractiveness scale, the evaluation value was normal and the benchmark was Bad. The perspicuity scale gets a positive evaluation value and the benchmark is Above Average. The efficiency scale gets a normal evaluation value and a Bad benchmark. The dependability scale gets normal evaluation values and Bad benchmark. The stimulation scale gets a normal evaluation value and a Bad benchmark. The novelty scale gets a negative evaluation score and the benchmark is Bad.
ANALISIS DATA PENJUALAN DEALER MOTOR BENELLI BRANCH PEKALONGAN MENGGUNAKAN METODE DECISION TREE Ferryan Nur Setyawan; Magdalena Ariance Ineke Pakereng
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 1 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i1.1268

Abstract

This research aims to enhance motorcycle sales strategies at PT. Benelli Anugerah Motor Pusaka Branch Pekalongan by utilizing data mining techniques, specifically the ID3 decision tree algorithm, to analyze and classify sales data. Given the increasing prevalence of motorcycles in Indonesia, this study focuses on identifying key factors that influence motorcycle purchases to optimize inventory and boost sales. Data from December 2022 to January 2024, encompassing 82 sales records, were processed using RapidMiner. The ID3 algorithm calculated entropy and information gain to classify motorcycles based on type, color, price, and transaction method (cash or credit). The results indicate that motorcycle type is the most significant factor, followed by color, price, and payment method. The model achieved an accuracy of 76.47%, with a precision of 87.50% and recall of 70.00%. This classification provides valuable insights for the dealer to manage inventory efficiently and anticipate customer preferences, thereby enhancing sales performance. The findings demonstrate the practical application of decision tree algorithms in transforming extensive data into actionable business intelligence.
Co-Authors Adam Belo Paembonan Afiyatar Asyer Asyer Afril Caesar Muhammad Hanif Agnes Meilosa Callysta Alvira Karisma Putri Alz Danny Wowor Andeka Rocky Tanaamah Angela Putri Larasati Darakay Anggara, Richardus Sapta Antonius Bintang Timur Aziiz, Anriza Kurnia Bramantya, Samuel Dwi Canavaro, Claudio Deni Supimum Jaya Devara Putra Aryasa Dewi, Syarafina Dimara, Indri Dio Yudha Perdana Diva Christalivea Dwayne Jeremy Euagellino Prihanto Dwi Hosanna Bangkalang Eirene Claudia Ratmoko Ellen Arnetta Ellen Yumanda Erwien Christianto Evangs Falensky, Lee Valdho Faradisia, Adeline Febriyanti, Monica Dias Federick Jonathan Felik Darmawan Wijaya Felix David Fernando, Fery Ferryan Nur Setyawan Feybiola Agustine Andrea Ompo Geraldie Tanu Saputra Getsemani Salisa Margaretha Harjono, Rhaka Pradena Heinricho Dimas Prasetya Hendrawan Suprayogi Jaya, Deni Supimum Jesajas, Marthen Billy Jessica Christiani Irawan Jonathan Nandika Gustin Juan Andrew Suthendra Julio, Erry Kaferin, Eggia Kevin Alexander Harjanto Kevin Setiawan Klaudius Nikotino P Kristoko Dwi Hartomo Kumbara, Perdana Bagas Tirta Lenda, Julita Veronika Letuna, Noliyanti Ria Mei Irawati Michael, Sean Mochammad Iqbal Tawakal Muhammad Haidar Wijaya Nadya Glorya Najoan Najoan, Nadya Glorya Nanda Choirul Ngantung, Ronaldo Kristoforus Ni Made Grace Advendi Nina Setiyawati Obidje, Bhilton Mesianus Pali'pangan, Prihart Julian Pattipeilohy, Rioldy Leonard Perdana Bagas Tirta Kumbara Prasetya, Ezra Inti Pratama, Leonnyndra Putra Puspitasari, Pipit Putra, Arios Wardana Putra, Oktavian Alle Mahenswa Radithya Airlangga Ramos Somya Ririn Ayu Ardila Rizki, Muhammad Bagus Salama, Aditya Saputra, Denny Agusto Simamora, Lasriama Agnes E Sindhi Diah Ayu Palupi Sofia Sofia Sonny Endrawan Susanto, Vincent Exelcio Talahaturuson, Januar C. Tarigan, Aldy Alvharo Tobing, Prihantoro Manahan Tuah, Oliver Vincent Virgelius Hendrawan Taralandu Wicaksana, Prasetya Wicaksono, Embang Aulia William Chrisnando Ekasaputra Yoridi, Maria Leonila Yawa Yos Richard Beeh Yos Richard Beeh Yosepinus Trinaldo Yoshua Kenny Nugroho