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Putra, Chrystia Aji

Universitas Pembangunan Nasional Veteran Jawa Timur

Author-ID : 2626186

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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.

Game Edukasi dengan Narasi Bercabang tentang Sejarah Puputan Margarana Raditya Lungguk Satya Putra; Chrystia Aji Putra; Andreas Nugroho Sihananto
Jurnal Teknologi Informasi dan Multimedia Vol. 8 No. 2 (2026): May
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v8i2.977

History education in Indonesia still tends to be one-sided and lacks interactivity, which can di-minish interest in studying history. In this game, players will take on the role of a fictional young Balinese character who fought to defend Indonesia’s independence in Bali. This study aims to cre-ate an educational game with a branching narrative about the history of the Puputan Margarana. The contribution of this research lies in the application of branching narratives to explore the his-torical story of the Puputan Margarana interactively. This game was developed using a branching narrative with a Branch and Bottleneck narrative pattern for the Windows and WebGL platforms. An evaluation was conducted on 21 junior high school student respondents using the GUESS-18 instrument. The game evaluation results showed an average total score of 4.10 on a 5-point scale, with the Stealth dimension receiving the highest score of 4.24 and the Enjoyment dimension re-ceiving the lowest score of 3.90. Validity test results for the additional dimensions showed that all items were valid (r > 0.443; p < 0.05), and reliability tests confirmed that the additional dimen-sions were reliable (alpha > 0.7). The research results indicate that the developed educational game received a positive response from players.

ANALISIS PENGARUH CLAHE PADA KINERJA MOBILENETV3-SVM KLASIFIKASI AKSARA JAWA Dela Ayu Putri Mayona; Chrystia Aji Putra; Hendra Maulana
Jurnal Informatika dan Rekayasa Elektronik Vol. 9 No. 1 (2026): JIRE April 2026
Publisher : LPPM STMIK Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36595/jire.v9i1.1997

Penelitian ini membahas pengenalan aksara Jawa sebagai upaya pelestarian budaya di era teknologi digital. Permasalahan utama terletak pada rendahnya kualitas citra dan kemiripan visual antar karakter yang dapat menurunkan akurasi klasifikasi. Penelitian ini bertujuan untuk menganalisis kinerja model MobileNetV3-SVM serta pengaruh penerapan preprocessing Contrast Limited Adaptive Histogram Equalization (CLAHE) dalam meningkatkan akurasi pengenalan. Metode yang digunakan meliputi tahap preprocessing (CLAHE, resize, dan normalisasi), ekstraksi fitur menggunakan MobileNetV3Small, serta klasifikasi menggunakan Support Vector Machine (SVM) dengan kernel linear. Dataset yang digunakan terdiri dari 2.500 citra aksara Jawa yang dibagi dengan rasio 80:20 untuk pelatihan dan pengujian. Hasil penelitian menunjukkan bahwa model dengan CLAHE mencapai akurasi tertinggi sebesar 98,4%, lebih baik dibandingkan tanpa CLAHE yang memperoleh 97,2%. Kebaruan penelitian ini terletak pada integrasi metode CLAHE dengan arsitektur MobileNetV3-SVM untuk meningkatkan diskriminasi fitur pada citra aksara Jawa yang memiliki kemiripan visual tinggi. Implikasi dari penelitian ini menunjukkan bahwa pendekatan yang diusulkan dapat menjadi solusi efektif dalam pengembangan sistem pengenalan aksara daerah berbasis kecerdasan buatan yang lebih akurat dan adaptif.

Pemanfaatan IoT dalam Sistem Kontrol Lingkungan Tanaman Drosera sessilifolia Menggunakan Fuzzy Type-2 Rhimba Aulia; Chrystia Aji Putra; Henni Endah Wahanani
Jurnal Teknologi Informasi dan Multimedia Vol. 8 No. 2 (2026): May
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v8i2.980

Drosera sessilifolia is a carnivorous plant that requires optimal environmental conditions, par-ticularly in terms of light intensity, temperature, and water level. This study aims to utilize the In-ternet of Things (IoT) to implement an environmental control system using Type-2 Fuzzy Logic for monitoring and controlling the environmental parameters of Drosera sessilifolia. The system uses an ESP32 microcontroller supported by several sensors, including a DS18B20 temperature sensor, an LDR light intensity sensor, and a water level sensor, to monitor environmental parameters ac-curately. The acquired data are processed using the Type-2 Fuzzy method to generate control deci-sions for actuators such as a heater, peltier, lamp, peristaltic pump, and fan. The Blynk platform is used to display environmental conditions, including temperature, light intensity, water level, and actuator decision status in real time. Based on the results of a 7-day indoor test conducted in the morning and at night, the average morning temperature was 30.04°C and the average nighttime temperature was 27.91°C, while the average light intensity was 1278 ADC in the morning and 2525.43 ADC at night, and the average water level was 1.16 cm in the morning and 0.99 cm at night. Based on 14 observations over 7 days, the system showed appropriate control responses in all observed scenarios, resulting in a 100% response success rate for the detected conditions. The novelty of this study lies in the implementation of an IoT-based Type-2 Fuzzy system specifically designed for the indoor cultivation of Drosera sessilifolia by simultaneously controlling temper-ature, light intensity, and water level. In addition, this study highlights the novelty of integrating Type-2 Fuzzy Logic and IoT for carnivorous plants, which remains very limited, especially for the cultivation of Drosera sessilifolia in a controlled indoor environment. The test results show that the system is capable of controlling temperature, light intensity, and water level effectively and responsively to environmental changes. The Type-2 Fuzzy method also produces stable and adap-tive control decisions. This system offers a solution for real-time indoor monitoring and environ-mental control of Drosera sessilifolia.

Geographic Information System of Informatics Alumni Distribution Using Fuzzy Method (case Study: UPN "Veteran" Jawa Timur) Firya Nadhira; Chrystia Aji Putra; Hendra Maulana
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 6 No. 1 (2021): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v6i1.188

The alumni association is an important organization in a higher education institution. Apart from being a forum for communication between graduates, alumni associations also play a major role in providing information related to career opportunities, as a medium for exchanging training information and knowledge. Informatics Study Program at UPN "Veteran" Jawa Timur already has an alumni association called IKATIFA (Ikatan Alumni Teknik Informatika). Although there is already an IKATIFA information system, the website does not have a specific system regarding alumni information in the world of work. By utilizing Geographic Information System (GIS) can present data specifically by using a map as an interface. In this research, alumni clustering was carried out using a fuzzy algorithm. There are 3 clusters, cluster 1 mean alumni work fields existing is according to study program competency, cluster 2 mean alumni work fields existing is almost according to study program competency, cluster 3 mean alumni work fields existing is not in accordance with study program competency. The test results on the testing data show that as many as 62% alumni work fields existing is according to study program competency, as many as 18% alumni work fields existing is almost according to study program competency, and as many as 20% alumni work fields existing is not in accordance with study program competency.

Implementation of Least Square Algorithm to Predict Monthly Revenue (Case Study: Djuju’s Grocery Store) Aditya Rizqi Ardhana; Chrystia Aji Putra; Andreas Nugroho Sihananto
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 8 No. 1 (2023): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v8i1.3

Business owners need to estimate their revenue, which is crucial for the sustainability of their operations. Thus, entrepreneurs such as micro, small, and medium-sized business owners, as well as owners of grocery stores, leverage technological advancements to maximize their sales operations. However, manual sales activities can pose challenges for managing sales data, such as disorganized sales record keeping, failure to record sales of high-volume customers, and time-consuming manual reporting for revenue predictions. To address these issues, researchers have developed a revenue prediction information system. In this study, revenue and profit predictions for the following period were calculated using the Least Square algorithm with the Mean Absolute Percentage Error (MAPE). An example calculation for a 12-month period resulted in a revenue forecast of Rp. 2,837,687.76 for the month of June 2023 with a MAPE of 12.71%.

Implementation of ADABOOST Algorithm on C50 for Improving the Performance of Liver Disease Classification Anwar Sanusi; Chrystia Aji Putra; Fawwaz Ali Akbar
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 8 No. 2 (2023): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v8i2.1

The liver is a vital organ that is important for humans because it plays a role in regulating hormone cycles, neutralizing toxins, and controlling the composition of blood. Liver disease is a common ailment worldwide. Often, this disease occurs without specific symptoms (asymptomatic). Therefore, liver disease is known as a "silent killer," and it is necessary to quickly and accurately diagnose and treat liver diseases. Data mining technology can be useful for rapidly detecting liver diseases from laboratory diagnosis results. One classification algorithm that can be used is the C50 algorithm. This algorithm is an improvement over the previous C45 algorithm, with several advantages such as efficient memory usage and more concise tree results. However, the C50 algorithm may experience overfitting on complex medical data, requiring the boosting process using AdaBoost. The AdaBoost algorithm can make the C50 algorithm more susceptible to overfitting. Another advantage of the AdaBoost algorithm is its ability to handle imbalanced datasets in terms of target labels. This research used 583 data from UCI machine learning with two target labels: liver and normal. The research results show that the C50 algorithm is capable of identification with an accuracy rate of 74.58%. Furthermore, the C50 algorithm's accuracy can be maximized by AdaBoost to reach 86.44%

Application of Branching Narrative and State Machine Concepts to an Interactive Simulation Scenario on the Impact of Bullying at the Junior High School Level: Penerapan Konsep Branching Narrative dan State Machine pada Skenario Simulasi Interaktif Dampak Bullying Jenjang Sekolah Menengah Pertama Niken Febrinikmah Siharta; Chrystia Aji Putra; Yisti Vita Via
Journal of Vocational Education and Information Technology (JVEIT) Vol. 7 No. 1 (2026): Jurnal JVEIT : Vol 7 No 1 2026
Publisher : Lembaga Pengembangan dan Inovasi Universitas Dharmas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56667/jveit.v7i1.2298

Kasus perundungan di sekolah menengah terus meningkat, sementara program pencegahan yang berjalan selama ini masih didominasi metode konvensional satu arah seperti ceramah, sehingga kurang menyentuh sisi afektif siswa. Penelitian ini mengembangkan simulasi digital interaktif anti-bullying berbasis Unity 2D dengan metode Multimedia Development Life Cycle (MDLC). Kode program dipisahkan menggunakan pola Model-View-Presenter (MVP), sementara kondisi emosional tokoh utama direpresentasikan lewat Emotional Meter yang dikendalikan algoritma Finite State Machine (FSM) secara real-time. Pengujian fungsionalitas dengan Black Box Testing menunjukkan seluruh sistem navigasi dan mekanik branching narrative berjalan sesuai rancangan. Uji coba terhadap kelompok siswa menghasilkan kenaikan skor pre-test ke post-test dari rata-rata 50.8 menjadi 84.7, dengan N-Gain Score 0.70 (kategori Sedang). Kepuasan pengguna yang diukur dengan GUESS-18 mencapai tingkat kelayakan 88.6%, yang berarti simulasi ini dinilai layak digunakan dan cukup efektif membangun kepekaan sosial siswa terhadap dampak perundungan.

History Learning Game of the Three-Day Battle Surabaya with Branching Narrative Rantau Himawan; Chrystia Aji Putra; Andreas Nugroho Sihananto
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 Daniel Bergas Prasetyo; Made Hanindia Prami Swari; Chrystia Aji Putra
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.

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 Akmal Zidan Fahreza 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 Andreas Nugroho Sihananto Andreas Nugroho Sihananto Angelita Kracibaya Nauli Panggabean Angellia, Tiara Febri Anggraini Puspita Sari Anwar Sanusi Ardhon Rakhmadi, S.Tr.T., M.Kom 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 Blantiant, Kin Ashiladafsa Chory Aura Nurtyara Christiano, Nicholas Raynato Damayanti, Lucky Daniel Bergas Prasetyo Deisya Dzakiyyah Rahmawati 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 Faisal Muttaqin 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 Henni Endah Wahanani I Gede Susrama Mas Diyasa I Putu Susila Handika I Putu Susila Handika Indah Nur Hamidah Kartyningrum, Try Latif Ahmad Fauzan Laudy Nurdibya Nandaru Lucky Damayanti Luhur Pambudi, Prima Lusian Nandang Arjamulia M. Dedy Marhadi M. Sulthan Alvi Made Hanindia Prami Swari Maharani, Ardiana Deka Maulana Fauzan Maulana Muzakki Bhaswara 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 Naura Bilqis Tasyakurina Niken Febrinikmah Siharta 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, 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 Raditya Lungguk Satya Putra 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 Rantau Himawan Rasyid, Hafizh Fadli Al Ratna Yulistiani Reydiva Novia Hermawan Reyhan Abiyyu Hartono Rezkyanzah, Jeneiro Rhimba Aulia 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 Sabda Sankalla Salsabila Arifa Salsabila Putri Ramadhani Salsabila Zahra Maulidina Salsabila, Sabrina Salva Wi Nur ain Sandy Putra Aryanto 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 Yisti Vita Via 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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