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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Informatika Proceedings of KNASTIK Sisforma: Journal of Information Systems Jurnal Eksplorasi Karya Sistem Informasi dan Sains PROCEEDING IC-ITECHS 2014 Journal of Information System Sistemasi: Jurnal Sistem Informasi Jurnal Manajemen dan Bisnis Indonesia JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL REKAYASA TEKNOLOGI INFORMASI JUTEI (Jurnal Terapan Teknologi Informasi) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Informatika Universitas Pamulang Jurnal Teknologi Sistem Informasi dan Aplikasi Journal of Economic, Management, Accounting and Technology (JEMATech) Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat Business Management Journal Program Studi Manajemen Jurnal Leverage, Engagement, Empowerment of Community (LeECOM) Jurnal Informatika dan Sistem Informasi (JUISI) Jurnal Teknologi Informatika dan Komputer Jurnal Teknik Informatika (JUTIF) Teknika Abdiformatika: Jurnal Pengabdian Masyarakat Informatika Proceedings of The ICECRS Prosiding Seminar Nasional Universitas Ma Chung Jurnal ilmiah teknologi informasi Asia JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Rinabi Tanamal
Universitas Ciputra
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Public Health Social Sciences Other

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Rancang Bangun Aplikasi Point Of Sales Berbasis Website Pada Toko Ramai Rambipuji Tanamal, Rinabi; Mourent, Jefferson
JATISI Vol 12 No 3 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i3.11903

Abstract

Toko Ramai Rambipuji is a retail store that manages transactions manually, often leading to errors in transaction calculations, product recording mistakes, and long queues, which hinder operational efficiency. To address these issues, a web-based point-of-sale system will be developed using Laravel as the framework and MySQL as the database, with data collected through interviews and observations, and system testing conducted using unit scenario testing. This application will feature transaction recording, sales report generation, and an intuitive user interface, aiming to enhance operational efficiency, reduce transaction errors, and improve customer service. The originality of this project lies in the tailored implementation of Laravel and MySQL to meet the specific needs of Toko Ramai Rambipuji, providing a relevant and practical digital solution to enhance the store’s competitiveness in the digital era. The test results received positive feedback from the user. They felt that the POS system developed was helpful.
Design and Implementation of custom Point of Sales using Waterfall Method for Corner Shop 70 Yovita Chandra, Kezia; Tanamal, Rinabi
Jurnal Informatika Universitas Pamulang Vol 9 No 3 (2024): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v9i3.42831

Abstract

With globalization, technological growth in various parts of the world is rushing. Likewise, every year, the use of ICT always increases in Indonesia. We can feel the world starting to digitalize every aspect of people's lives, such as education, health, etc. Digitalization in business sectors helps minimize problems experienced mainly by small and micro-scale, such as stock-opname errors. The same situation occurred in one of the micro-businesses, Toko Pojok 70, which runs the business process manually. This research is conducted due to unintegrated data and complicated stock recording processes. The owner tends to lose the item, and sometimes miscalculates the total transaction which leads to business loss. The solution to the owners’ problem is by technology known as point of sales (POS). By adopting the Waterfall method business owners can determine what features on POS are needed to adopt their business processes which involve managing goods, reporting, transactions, and return processes also may help run business processes faster, more precisely, and organized. Based on the requirement analysis, implementation, and testing result. The point of sales that has been created can be implemented on Toko Pojok 70 to handle the problems that occurred in the business.
Implementasi Sistem Informasi Akuntansi untuk Perusahaan Garmen XYZ Citra, Joshua Ronaldo; Tanamal, Rinabi
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 2 No. 2 (2019): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

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Abstract

Nowadays in Indonesia, the company needs toward information system is an absolute thing. Information System has become one of the components in a company. There are many positive advantages obtained in using information system. Information system has many types such as Accounting Information System (AIS) supporting the accounting in company. XYZ is an company engaged in garment in Surabaya. As a company, it has business processes related to accounting. To support the accounting process in XYZ company, it needs an accounting application. Accurate is an application providing AIS service created by CPSSoft. Accurate is chosen because the use is simple and it provides modules which support business process of companies. The problem faced by XYZ company in this research was how to arrange Accounting Information System in XYZ company using Accurate application and to overcome the problems. Thus, there would be some activities. First was interview and observation of business process in XYZ. The second was data transfer from the previous application to Accurate. The third was installment and training the Accurate to the staffs and the owner of XYZ company. Accurate could ease business process and enhance staff performance and the owner of company.
The Influence of Brand Equity, Trust, Price, PEOU, and PU on Online Based Crowdfunding Investment Yulianto, Stefanus; Tanamal, Rinabi
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 2 No. 2 (2019): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

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Abstract

In this modern era, a lot of that affects the behavior of people in everyday life, such as economic, social, cultural, political, and technological progress. People are beginning to rely on technology to live their activities, from transportation, interaction, browsing, learning, business affairs, to invest. This study aims to determine the effect of Brand Equity, Trust, Price, Perceived Ease of Use, and Perceived Usefulness of purchase intention in an online investment application which in this research will use the expansion of TAM. Data collection methods to be used by the authors is quantitative using questionnaires with the target respondents as much as 100 respondents, the data retrieval process using purposive sampling data. The benefit of research is to know whether Brand Equity, Trust, Price, Perceived Ease of Use, and Perceived Usefulness affect Purchase Intention in an online investment application. Data processing using SPSS regression equation results obtained as follows Y = -0.815 + 0,465 X1 + 0,248 X2 - 0,234 X3 + 0,363 X4 + 0,406 X5, Brand Equity becomes the most influential variables. Thus, it can be concluded that the higher brand of online investment application, so will be increasingly higher purchase intention in online investment application.
Rancang Bangun Sistem Pakar dengan Metode Forward Chaining untuk Rekomendasi Pariwisata di Labuan Bajo Menggunakan iOS Platform Sutedjo, Leonardo Jeffry; Tanamal, Rinabi
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 3 No. 3 (2020): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

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Abstract

Nowadays many tourists like to travel. When on vacation the user is confused about where to go and whether it's good or not. When tourists want to take a vacation and the user must choose to do a tour and it turns out that it is not good in terms of good or bad attractions. So there is encouragement to help tourists to provide recommendations for good tourist places to visit. But now with so many online media to buy tickets, but the local guide is still rampant in maintaining tourism. This location with the presence of local guides who do not understand the price and when they are in Labuan Bajo the price of the user is still not right then it makes tourists confused. The existence of a problem raises the urge to make an application of an expert system that recommends tourist attractions in Labuan Bajo by using the Forward Chaining method. In making this application uses a rule based to process data on applications on iOS. And using mcgoo is used to create and process data taken from experts. This application can help tourists to find excellent places to travel. Because the purpose of the user to travel is to have fun if the user is confused to determine the existing location then this application will help the user determine the desired tourist attractions. This application also provides several tourist options such as tours on the sea, cities, or hills/mountains. The target of visitors is always less because tourists lack the desire to travel in Labuan Bajo because of the lack of recommendations on Labuan Bajo tourism. The results of research conducted by more foreign tourists who prefer to visit Labuan Bajo because local tourists prefer tourist destinations that are still crowded, such as Bali and Lombok. So that makes tourism in Labuan Bajo not yet an attraction for local tourists.
Association Rule Mining for Truck Body Damage Pattern Analysis Using Apriori and CRISP-DM Dendy, Livanty Efatania; Tanamal, Rinabi
Journal of Applied Informatics and Computing Vol. 10 No. 1 (2026): February 2026
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v10i1.12134

Abstract

This study investigates damage patterns in truck body components by applying the Apriori association rule mining algorithm within the CRISP-DM framework. The analysis is based on 281 historical repair records from CV Lestari’s fleet throughout 2024. The dataset encompasses 14 attributes, including vehicle types, route categories, body materials, and load conditions. To ensure the robustness of the generated rules, parameter tuning was conducted using a grid search approach, resulting in minimum support and confidence thresholds of 15% and 60%, respectively. A total of 50 association rules were derived, with several rules demonstrating high confidence values and lift values above 1.1, indicating meaningful and non-random correlations. Notably, structural frame damage is strongly associated with mountainous routes and heavy loads, while door and hinge damage tends to occur in aluminum box-bodied trucks operating under medium loads. These patterns were aligned with practical insights from field technicians and further contextualized through technical recommendations, such as reinforcing high-stress points and adjusting inspection schedules for high-risk configurations. The findings support the formulation of predictive maintenance strategies, enabling companies to transition from reactive repairs to proactive, data-driven decision-making. By integrating rule-based insights into maintenance planning, the study contributes to reducing unexpected failures, optimizing inspection frequency, and enhancing overall fleet reliability.
Optimization of Electric Vehicle Charging Stations Recommendation for Intercity Travel in Bali Using K-NN Algorithm Theijer, Jessica; Tanamal, Rinabi
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 20, No 2 (2026): April
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.113372

Abstract

The problem of range anxiety among electric vehicle (EV) users is caused by the uneven distribution of Public Charging Stations (Indonesian: Stasiun Pengisian Kendaraan Listrik Umum, or SPKLU) in the Bali region often occurs. Currently, existing navigation applications provide SPKLU locations, but still lack route-based, battery-aware and vehicle connector type recommendations.To address this limitation, an SPKLU recommendation system was developed using the K-Nearest Neighbors (KNN) algorithm, specifically designed for intercity travel across Bali Island. The proposed method applies a two-stage filtering mechanism: Geodesic Distance for initial candidate selection, followed by the Google Maps Directions API for route-accurate distance validation. The research data were obtained through manual collection from the PLN Mobile application, containing geographic coordinate locations and connector type information. User inputs parameters include origin, destination, current EV range, maximum travel capacity, and vehicle connector type.Experimental results show that the system can provide accurate SPKLU suggestions aligned with planned routes and optimal charging intervals. The findings indicate that the proposed model is lightweight, adaptive, and effective in supporting EV users, thereby reducing range anxiety while contributing to the promotion of sustainable transportation in Indonesia.
Rancang Bangun Website Kasir Dan Manajemen Stok Untuk Distributor Utama Bumbu 47 Di Surabaya Jocelyn Leora; Rinabi Tanamal
JATISI Vol 13 No 2 (2026): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v13i2.11879

Abstract

The advancement of information technology has significantly impacted the food distribution industry. The main distributor of Bumbu 47 in Surabaya faces challenges in recording transactions and stock management, which are still done manually, leading to recording errors and low operational efficiency. This study develops a web-based application to automate these processes. The application is developed using the Waterfall method with Laravel, MySQL, as well as HTML, CSS, and JavaScript technologies. Testing results show that the system can automate transaction recording, update stock in real-time, and generate sales reports. The implementation of this application has had a positive impact on improving recording accuracy and operational efficiency for the distributor.
Product Demand Analysis Using the XGBoost Algorithm at PT Atmadjaya Sembada Anugerah Okky Julian Atmajaya Tarmoko; Rinabi Tanamal
SISFORMA Vol 13, No 1: May 2026
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24167/sisforma.v13i1.13650

Abstract

PT Atmadjaya Sembada Anugerah is a frozen food manufacturing company that faces challenges in stock management due to unpredictable daily fluctuations in product demand. Inaccurate demand forecasting can lead to inefficiencies in distribution and storage operations. This study aims to apply the Extreme Gradient Boosting (XGBoost) algorithm to forecast product demand using historical daily sales data. The process involves exploratory data analysis, data cleaning, feature engineering for time and statistical variables, and time-based data splitting. The model is trained using features selected through Recursive Feature Elimination and optimized using hyperparameter tuning with Optuna. Evaluation is conducted through TimeSeriesSplit cross-validation and assessed using three standard performance metrics. The results indicate that the model effectively captures seasonal patterns and general demand trends, although it remains limited in responding to sudden demand spikes. These findings support the use of XGBoost as a foundational approach for demand forecasting systems in stock planning, with potential for further improvement through the integration of external data and expanded feature sets.
Development of a Family Meal Plan Application with Voice Recognition, Siri Integration, and Nutrition Management Using Data-Driven Approach Livanty Efatania Dendy; Celinka Eira Jove; Rinabi Tanamal
SISFORMA Vol 13, No 1: May 2026
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24167/sisforma.v13i1.14489

Abstract

Maintaining a healthy diet has become increasingly important as fast-food consumption rises and nutritional balance is often overlooked. This research proposes a technology-based Family Meal Plan Application equipped with voice recognition, Siri integration, nutrition management, and automated grocery lists to assist home cooks in planning healthier meals more efficiently. The application was designed using Figma, developed with Flutter, and integrated with the Siri API to provide a seamless hands-free experience during cooking. A nutrition prediction model was also developed using a Kaggle dataset and deployed locally to generate real-time nutritional analysis. The final results of this study show that the application prototype successfully meets user needs in simplifying weekly meal planning, providing accurate voice-based cooking guidance, and offering automated nutrition calculations for each family member. User testing involving home cooks indicated increased efficiency in meal preparation, reduced cognitive load during recipe execution, and improved awareness of daily nutritional intake. The voice command system operated with high accuracy and responsiveness, while the automated grocery list feature significantly streamlined weekly shopping activities. Overall, the application demonstrates strong potential to support healthier family eating habits through an intelligent, data-driven, and user-friendly solution.
Co-Authors Abraham Agung Adhika Dwi Pramudita Adhika Dwi Pramudita, Adhika Dwi Adi Suryaputra Paramita Aditya Sugih Pangestu Alim Gunawan Alim Gunawan, Alim Alkent Alkent Andersen, Matthew Andiputra Andiputra Ardhityar Izaaz S Brandon, I Putu Budi Wijaya Calvin Chandra Hidajat Celinka Eira Jove Christian Tanjono Christopher Adriel Citra, Caecilia Citra Citra, Joshua Ronaldo Daniel Deardo Damanik Daniel Martomanggolo Wonohadidjojo David B. Tonara David B. Tonara, David B. David Boy Tonara David Boy Tonara, David Boy Dendy, Livanty Efatania Devi Mawarni Evan Tanuwijaya Evelin Candratio Faisal Reza Sugma Prawira Fania Cecillia Felicia Graciella Felicia Gunadi Goldianus Solangius Mbete Hadi, Carren Pearl Hans Setiawan Hans Setiawan, Hans Hendrani, Edwin Hidajat, Calvin Chandra Indra Maryati Irawan, Valencia Elcheiana Ivan Sebastian Putra Ivan Sebastian Putra, Ivan Sebastian Jocelyn Leora Johan Limantono Joshua Ronaldo Citra Kamila, Marcia Kartika Gianina Tileng Kevin Razak Kevin Suteja Kevin Suteja, Kevin Leonardo Jeffry Sutedjo Liliana Dewi Livanty Efatania Dendy Mahotma, I Putu Aldi Satria Marshel Aditya Prayoga Michael Androanto T Michelle Chandra Mourent, Jefferson Muhammad Daral Darullah Natalie Grace Widjaja Kuswanto Nathalia Minoque Kusuma Salma Rasyid Jr Nazarinus Artasawarga Purnomo Nazarinus Artasawarga Purnomo, Nazarinus Artasawarga Nisaul Fadila Nisaul Fadila Okky Julian Atmajaya Tarmoko Om A.I Simeru Ong Felycia Christiana Ong Felycia Christiana, Ong Felycia Piters, Michelle Njio Rasyid Jr, Nathalia Minoque Kusuma Salma Saddam Husein Dio Darmawan Salsabila, Dewi Salma Satria Adi Nugraha Sonata Christian Stephanus Eko Wahyudi, Stephanus Eko Sutedjo, Leonardo Jeffry Theijer, Jessica Theresia Ratih Dewi Saputri Tony Antonio Trianggoro Wiradinata Wendra Hartono Wijaya, Yohan William Augusta Hareka Yosua Candra Yosua Setyawan Soekamto Yovita Chandra, Kezia Yuliani Suhartono Yulianto, Stefanus Yulmy Satria Mandala Putra Yuwono Marta Dinata