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Putra, Chrystia Aji

Informatika, Universitas Pembangunan Nasional “Veteran” Jawa Timur, Indonesia

Author-ID : 2626186

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Public Health Social Sciences Transportation Other

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Design and Development of Web-Mobile Application for Housing Project Management Using KNN for Prediction Salsabila Arifa; Fawwaz Ali Akbar; Chrystia Aji Putra
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2546

Project management in housing development is essential to ensure timely completion, budget efficiency, and market alignment. However, many small to medium sized property developers still use manual systems, causing inefficiencies in monitoring, documentation, and sales planning. PT Bakti Luhur Abadi is one such company that still relies on Microsoft Excel for recording project progress and housing unit sales. This study aims to develop an integrated project management system equipped with a sales prediction feature using the K-Nearest Neighbors (KNN) algorithm. The goal is to improve operational efficiency, streamline decision making, and support strategic sales forecasting. The system was developed using the Waterfall method, comprising requirement analysis, system design, implementation, and testing. A key novelty of this research is the dual platform implementation web for administrators and mobile for directors and field teams enabling real time access, structured documentation, and effective communication. The KNN algorithm was tested with 30 test data and 114 training data using K values of 3, 5, and 7. The best result was achieved at K = 7 with an accuracy of 86.7%. Functional validation using black-box testing confirmed all web and mobile features operated as expected. In conclusion, the proposed application effectively automates project management and enables accurate sales prediction. It provides practical benefits for small and medium-scale property developers by increasing efficiency, improving internal coordination, and supporting data driven planning through an accessible and intelligent solution.

Hyperparameter Optimization with Hyperband for Tuberculosis Classification Yovi Ibnu Nasikhin; Basuki Rahmat; Chrystia Aji Putra
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.3273

Tuberculosis (TB) is an infectious illness that continues to be a major global health challenge due to its high rates of disease and death. Early detection of TB using chest X-ray images often faces challenges related to subjective interpretation by radiologists and limited sensitivity and specificity. This study develops a Convolutional Neural Network (CNN) model to classify chest X-ray images into Normal and Tuberculosis classes, using a total of 2,198 chest X-ray images consisting of 1,173 Normal and 1,025 Tuberculosis samples. Hyperparameter optimization was carried out using the Hyperband algorithm implemented in the Keras Tuner framework to obtain the best parameter combination that produced optimal model performance. The main hyperparameters tuned included the number of dense layers, the number of units per layer, dropout rate, and learning rate. The optimization process yielded the best configuration consisting of two dense layers with 160 and 64 units, a dropout rate of 0.3, and a learning rate of 0.0011. The optimization process increased the model’s accuracy from 0.84 to 0.88 and reduced the validation loss from 0.44 to 0.34, indicating a more stable and effective learning outcome after optimization using Hyperband. The application of Hyperband successfully enhanced learning stability, accelerated convergence, and improved overall model performance. These results indicate that hyperparameter optimization using Hyperband not only enhances CNN-based TB classification accuracy but also strengthens its potential clinical utility by supporting more consistent, rapid, and objective early diagnosis in real-world healthcare settings.

Development of a 2D Educational RPG on the 10th November Battle Alif Wisam Desanta Fitrianto; Chrystia Aji Putra; Andreas Nugroho Sihananto
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.3344

The advancement of digital technology provides opportunities to innovate learning methods, especially for subjects like history that are often considered less engaging. This study develops a 2D Adventure RPG educational game themed on the November 10 Battle, integrating branching narrative and lane tower defense minigames to enhance students’ historical understanding. This integration addresses a research gap, as few studies have combined branching narrative and lane tower defense in a historical educational RPG. The game allows players to make choices affecting the storyline while facing strategic challenges through interactive mechanics. The study employed a single-group pre-test–post-test design involving 23 students from SMP Negeri 6 Surabaya. Results showed a significant improvement in learning outcomes, with the average score increasing from 53.48 to 94.78 and standard deviation decreasing from 19.21 to 5.93. The Wilcoxon Signed Rank test yielded p = 0.000 (< 0.05), confirming statistical significance. User experience evaluation using GUESS-18 indicated positive responses (mean scores 3.78–4.02), with branching narrative (4.06) and lane tower defense (3.94) receiving favorable feedback. Validity tests confirmed all items were valid (r > 0.413; p < 0.05), and reliability was high (Cronbach’s Alpha = 0.867). However, the small sample size (23 students) may limit generalizability of the findings. These findings suggest the November 10th educational game effectively improves historical understanding, cognitive and affective engagement, learning motivation, and strategic thinking. The study highlights gamified learning as an engaging alternative for history education in the digital era.

Medan Area Battle Educational Game Using Branching Narrative and Turn-Based Tactical Combat Maulana Fauzan; Chrystia Aji Putra; Andreas Nugroho Sihananto
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.3345

The rapid advancement of digital technology has created new opportunities for integrating interactive media into history education, a subject often perceived as passive and less engaging. Addressing the lack of educational games that combine narrative with strategic simulation, this study develops and evaluates Medan Area Battle, a 2D action role-playing game that introduces a dual-pedagogical mechanism through branching narrative and turn-based tactical combat. This integration is designed to allow students to experience historically grounded decision-making while simultaneously engaging in strategic reasoning with the events of the Medan Area Battle. A design-based research framework guided the development process through requirement analysis, design, implementation, and user testing. The evaluation involved twenty-five junior high school students, providing insight into the game's effectiveness. Learning performance was measured through pre-test and post-test assessments, while user experience was examined using Game User Experience Satisfaction Scale-18 (GUESS-18). Two additional dimensions Branching Narrative and Tactical Combat were incorporated to capture the unique interaction patterns introduced by the game’s narrative and strategic systems. Statistical analysis employed the Shapiro–Wilk test, Wilcoxon Signed Rank test, and Cronbach’s Alpha reliability testing. Results indicated a significant improvement in learning outcomes, with mean scores rising from 60.80 to 85.60 (p = 0.000767). The overall GUESS-18 rating of 4.15 (“Very Good”), alongside high scores in Educational (4.30) and Tactical Combat (4.27), suggests strong user engagement. These findings demonstrate that integrating narrative choice with tactical gameplay offers effective and theoretically grounded approach enhancing students’ cognitive understanding and motivation in history learning.

History Learning Game of the Three-Day Battle Surabaya with Branching Narrative Himawan, Rantau; Putra, Chrystia Aji; Sihananto, Andreas Nugroho
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3346

This study presents the development of an educational history game about the Three-Day Battle in Surabaya, designed using a branching narrative approach to enhance students’ engagement and historical understanding. Traditional history learning in Indonesia often relies on memorization and lacks interactive media, leading to low student motivation. To address this issue, the game integrates a decision-based narrative structure that allows players to explore consequences, experience alternative paths, and engage with historical events through meaningful choices. The game was developed using the Unity Engine with iterative refinement involving playtesting and feedback-based adjustments to dialogue flow, minigame mechanics, and visual presentation. The evaluation involved 15 participants and employed the GUESS-18 instrument. The results indicate strong user reception, with high scores in Narrative Understanding and Game Engagement, while Playability and Aesthetics received moderate ratings, highlighting areas for visual and interaction improvements. Despite the short testing duration, the game demonstrated potential to support historical learning by increasing immersion and reinforcing students’ understanding of key events and cause–effect relationships during the Surabaya conflict. This study contributes to the field of educational game development by demonstrating the pedagogical value of branching narratives and providing a practical model that can be adapted to other historical topics in future research.

Prediksi Harga Emas Menggunakan Model Bi-GRU Dengan Monte Carlo Dropout Berdasarkan Data Makroekonomi Prasetyo, Daniel Bergas; Swari, Made Hanindia Prami; Putra, Chrystia Aji
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3393

Gold price prediction plays a vital role in financial decision-making, particularly during periods of heightened market volatility when gold functions as a strategic hedge against inflation and economic uncertainty. This study examines the effectiveness of a Bidirectional Gated Recurrent Unit (BI-GRU) model enhanced with Monte Carlo Dropout for forecasting XAU/USD prices using key macroeconomic indicators, namely CPI, DXY, S&P 500, and crude oil prices, covering the period from May 6, 2015, to May 1, 2025. The research addresses the need for forecasting approaches capable of capturing nonlinear dependencies while simultaneously quantifying predictive uncertainty. The methodological workflow includes constructing a multivariate time-series dataset, performing comprehensive preprocessing, and evaluating multiple temporal window lengths and model configurations. Performance is assessed using MAE, RMSE, and R², with uncertainty estimation derived from repeated stochastic forward passes. Empirical analysis reveals strong correlations between gold prices and the S&P 500 (r ≈ 0.93) and CPI (r ≈ 0.89), affirming the substantial influence of macroeconomic conditions on gold dynamics. The optimal configuration, consisting of a 70:30 data split, a 60-day window, 128 BI-GRU units, and a 0.3 dropout rate, achieved an MAE of 0.0354, an RMSE of 0.044, and an R² of 0.9349, outperforming the baseline BI-GRU without dropout. Multi-step forecasting further shows that the model maintains stable predictive behavior during the initial horizon, with uncertainty increasing gradually in extended forecasts. These findings demonstrate that integrating BI-GRU with Monte Carlo Dropout provides a reliable uncertainty-aware framework that offers both accurate predictions and practical value for financial practitioners requiring risk-sensitive forecasting tools.

Pengembangan Game Edukasi RPG Petualangan 2D tentang Peristiwa Lautan Api Bandung Menggunakan Alur Cerita Naratif Bercabang Sankalla, Sabda; Putra, Chrystia Aji; Sihananto, Andreas Nugroho
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3402

This study evaluates the effectiveness of a 2D educational adventure RPG integrating branching narratives and a Numberlink-based puzzle to enhance students’ understanding of the historical Bandung Lautan Api event. Addressing the persistent issue of low engagement in history classrooms, the research investigates whether interactive storytelling and embedded logic-puzzle tasks can strengthen learning outcomes and user experience. Using a design-based research approach, the game was tested with 23 junior high school students through a pre-test/post-test design and the Game User Experience Satisfaction Scale (GUESS-18). The results show a substantial increase in historical knowledge, with post-test scores significantly higher than pre-test scores, indicating strong knowledge acquisition following gameplay. GUESS-18 responses also reveal consistently positive user experiences, with high ratings for narrative quality, educational value, visual and audio aesthetics, and overall enjoyment. Students reported that branching choices improved immersion and reflective thinking, while the Numberlink puzzle supported active reasoning during missions. These findings demonstrate that the integration of interactive narrative structures and logic-based puzzles can effectively support both cognitive and affective dimensions of history learning. Overall, the study confirms the potential of game-based learning to enhance comprehension, motivation, and engagement, providing evidence that well-designed educational games can significantly improve learning performance and serve as a valuable supplement to conventional history instruction.

A Branching Narrative 2D Action RPG Game to Enhance Learning About the Ambarawa Battle Nandaru, Laudy Nurdibya; Putra, Chrystia Aji; Sihananto, Andreas Nugroho
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3420

This study develops a historical educational game titled Pertempuran Ambarawa to address the persistent challenge of low student engagement and limited contextual understanding in history classrooms, where learning is often dominated by memorization-based instruction. To provide a more interactive and reflective learning experience, the game integrates a branching narrative structure, 2D action RPG mechanics, and stealth–strategy minigames within the Interactive Digital Narrative (IDN) framework. This approach is intended to enhance learners’ historical reasoning by situating them in decision-based scenarios that mirror the complexities of the Ambarawa Battle. The game was implemented in Unity with 2D pixel-art aesthetics and evaluated through a pre-test–post-test design involving 25 junior high school students. Results show a significant improvement in historical comprehension, with mean scores increasing from 59.2 to 79.2 and the Wilcoxon Signed-Rank test yielding p = 0.00077 (p < 0.05). User experience was assessed using the GUESS-18 instrument, achieving an overall rating of 4.29 (Very Good), with the Education and Branching Narrative dimensions receiving the highest scores. These findings indicate that narrative interactivity and contextualized gameplay meaningfully contribute to learning effectiveness. Overall, the study demonstrates that combining branching narratives with RPG-based exploration provides a compelling alternative learning medium, offering both pedagogical value and strong user acceptance in history education.

Co-Authors A. MUAMMAR ALAWI Abrar Athaya Yuris Erbinavydho Achmad Muhaimin Nur Khafi Adila, Mar'atul Adinda Eka Novita Sari Adinda Yudha Wardani Aditya Rizqi Ardhana Agung Mustika Rizki Ahbab, Tuhfatul Aileena Solicitor Costa Rica El Chidtian Aji Bimantoro Akbar, Fawwaz Ali Aldien Ramadhan Alfianita Alif Wisam Desanta Fitrianto Alifah Rafidah Putri Alifia Oktaviani Sastra Alifiyasintadewi Nurqodri Alit, Ronggo Alit Alviriza Ramadhan, Muhammad Amalia, Restu Dyah Rizka Amanda Dhea Restina Andreas Nugroho Sihananto Angelita Kracibaya Nauli Panggabean Angellia, Tiara Febri Anggraini Puspita Sari Arifiana Nur Hanifah Ariyono Setiawan Arum, Dewi Puspa Atabuy Frit Elisa Yonce Audy Herlina Puspitasari Aulia, Rumaisha Vinna Ayu Setyorini Mestika Mayangsari Ayu, Putri Sari Azim Permana, Krisna Badarus Syamsi, , Muhammad Nabhigoh Bagus Wahyu Tri Pambudi Barrulanda, Reyhan Javier Basuki Rahmat Basuki Rahmat Blantiant, Kin Ashiladafsa Chory Aura Nurtyara Christiano, Nicholas Raynato Damayanti, Lucky Dela Ayu Putri Mayona Desy Windi Prawita Dewanti, Felicitas Deru Dewi, Salsa Billah Lilia Dhea Restina, Amanda Dhian Satria Yudha Kartika Dhikma Pristika Melenia Diah Rahmadani Dicky Rachmadi Dimas Puji Utomo Dita Atasa Diwangkoro Prasojo Dwi Evitasari, Rista Dwi Lestari Dwi Wahyuningtyas Egivia Rivaluna Rifiatul Aini Eka Maidhatul Jannah Eka Maidhatul Jannah Ela Choirunisa Eva Yulia Puspaningrum Evi Triandini Evi Triandini Falery Febianti Farrel Brilliant Loudy Prasetyo Fasya Arifatin Fathoni, Fuad Mahrus Fauziyah Herdatul Dwi Krisdayanti Fawasal Anas Fatlurrahman Faza Nailinajiyah Darmayanti Fazari, Reyhan Auni Febriani, Safida Feby Triharyanti Fetty Tri Anggraeny Firman Lucky Saputra Firmansyah, Rio Ferdian Firya Nadhira Hadiansyah Rachmawan Putra Henni Endah Wahanani Himawan, Rantau I Gede Susrama Mas Diyasa I Putu Susila Handika I Putu Susila Handika Indah Nur Hamidah Kartyningrum, Try Latif Ahmad Fauzan Lucky Damayanti Luhur Pambudi, Prima Lusian Nandang Arjamulia M. Dedy Marhadi M. Sulthan Alvi Made Hanindia Prami Swari Made Hanindia Prami Swari Made Hanindia Prami Swari Maharani, Ardiana Deka Maulana Fauzan Maulana, Hendra Maurisa Arimbi Putri Maurisa Arimbi Putri Muchammad Fatchur Rachman Wahyudi Muhammad Adli Al Fawwaz Muhammad Muharrom Al Haromainy Muhammad Naufal Devano Muhammad Yusuf, Ilham Muttaqin, Faisal Nadia Shafia Putri Alyzia Nailinajiyah Darmayanti, Faza Nandaru, Laudy Nurdibya Naura Bilqis Tasyakurina Ninda Nur Aprilia Ninov Royana, Akge Novia Kurniasari Novia Nirmala Putri Nurbayzura, Wahyu Nurlaili, Afina Lina Nurmala Erlyawati Nurqodri, Alifiyasintadewi Nurul Nurhidayati Nuryananda, Praja Firdaus Oktaviani Arcici Hadir Pandu Khrisna, Gagas pramitha sari, nova Prasetyo, Daniel Bergas Prasetyo, Farrel Brilliant Loudy Pratiwi, Sekar Arum Prima Luhur Pambudi Puji Utomo, Dimas Purba, Lasman Parulian Putra Parna, Dirgananda Putra Perdana Putra, Raditya Lungguk Satya Putri Aqila, Nafisa Dean Putro, Sadewo Pramono Raden Balqis Ibrah Fakhira Rafif Muhammad Wijdan Rahmania Ainur Fitri Rahmania Ainur Fitri Rahmawati F. Tias Raihan Nur Rafi Ramadhan Dwi Setyawan Ramadhan Dwi Setyawan Rania Anjati Aurellia Putri Rania Anjati Aurellia Putri Rasyid, Hafizh Fadli Al Ratna Yulistiani Reydiva Novia Hermawan Reyhan Abiyyu Hartono Rezkyanzah, Jeneiro Rico Widi Taruna Nugroho Ridwan Putri, Olvy Maulida Riko Setya Wijaya Risdalina, Salfa Rista Dwi Evitasari Ristiawan, Agik Bika Rita Vita Arsita Rizki Anggoro Restio Widodo Rizki, Agung Mustika Ronggo Alit Ronggo Alit Ronggo Alit Ronggo Alit Ronggo Alit Rosita Royan Hisyam Rafliansyah Roziana Febrianita S J Saputra, Wahyu Salsabila Arifa Salsabila Putri Ramadhani Salsabila Zahra Maulidina Salsabila, Sabrina Salva Wi Nur ain Sandy Putra Aryanto Sankalla, Sabda Saragih, Sabrina Ade Ulina Satwika, I Kadek Susila Seftia Triwulan Dari Selfa Eka Ramadhani Septian Nurul Istiqfaroh Shafia Putri Alyzia, Nadia Shevina Alana Devanty Siti Fatimah Jasmine Sri Rahmayanti Sri Wibawani SUGIARTO - Sugiarto S Sugiarto, Sugiarto Sugiarto, Sugiarto Sulaicha Sulaicha Sulistyowati, Intan Suryanita Pratiwi, Dewi Syaifullah JS, Wahyu Syandana, Harya Tasya Febrianti Thineza Ardea Pramesti Thufaila Azizah, Roida Tiara Febri Angellia Triadinda Yudha Wardani Triadinda Yudha Wardani2 Via, Yisti Vita Vienes Queen Tsamara Vita Via, Yisti Wahyu Riska Ardila Wahyu Syaifullah Jauharis Saputra Wardah Firdausil Kamala Wariyanti Nugroho Putri Widya Agata, Ayu Wijaya, Riko Setya Windi Prawita, Desy Yisti Vita Via Yovi Ibnu Nasikhin Yuantoro, Revan Fajar Dwi Yudha Asmara, I Wayan Yudha Wardani, Triadinda Yumna Putri Salsabil Zainal Abidin Achmad

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