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All Journal Jurnal Sarjana Teknik Informatika POSITIF JurTI (JURNAL TEKNOLOGI INFORMASI) e-NARODROID Teknomatika (Jurnal Teknologi dan Informatika) Jurnal Ilmiah Teknologi Informasi dan Robotika Journal of Technology and Informatics (JoTI) International Journal Of Computer, Network Security and Information System (IJCONSIST) Jurnal Informatika Polinema (JIP) International Journal of Economics and Management Sciences
Rizky Parlika
Unknown Affiliation
Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Library & Information Science Mechanical Engineering Social Sciences

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A Preliminary Study on Integrating Procedural Content Generation into Game Development Process Pratama Wirya Atmaja; Rizky Parlika; Sugiarto
IJCONSIST JOURNALS Vol 1 No 1 (2019): September
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (620.573 KB) | DOI: 10.33005/ijconsist.v1i1.8

Abstract

Abstract— Digital game industry continues to grow and reap enormous profit. On the other hand, game development is still a risky and costly endeavor, and researches on reducing its risks and costs continue to be important. Procedural content generation or PCG is the state-of-the-art method to speed up and automate the production of various game contents, therefore reducing the said costs and risks. However, how to integrate the method into the lengthy process of game development is still not well understood. In this paper we present a preliminary study on the integration. For the development process, we combine MDA or Mechanics-Dynamics-Aesthetics framework with SCRUM-based Agile methodology. The PCG method for our study is for generating levels of platformer games. We study how the PCG method would be developed in pre-production and production phases with the help of two common development tools, Game Design Document (GDD) and user stories. We discuss our findings and possible directions of future researches.
Challenges Facing Kenyan Accountants in Implementing Digital Accounting Platforms and Strategies for Overcoming Them Catherine Mosiara Kenyatta; Rizky Parlika
International Journal of Economics and Management Sciences Vol. 2 No. 4 (2025): November : International Journal of Economics and Management Sciences
Publisher : Asosiasi Riset Ekonomi dan Akuntansi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijems.v2i4.998

Abstract

Indubitably, digital accounting platforms have proven to be a key element in financial management, especially in the contemporary era. They not only promise but guarantee improved accuracy, analytical depth, and reduced delays. In Kenya, the popularity of cloud-based accounting, AI-powered analytics, and enterprise-resource modules is quickly growing, although adoption still remains uneven across organization sizes, regions, and sectors. This journal’s primary objective was to explore the numerous challenges Kenyan accountants encounter when implementing digital accounting platforms and the strategies they utilize to address and overcome these challenges. Regarding methodology, the paper reviews the existing body of literature, including expert reviews, policy documents, and professional reports, to evaluate six critical barriers: infrastructural limitations, change resistance, financial constraints, human capital shortages, ambiguities in ethical and regulatory areas and the challenges that impact technical integration. It also includes a discussion of the most practical plans of action that practitioners in the field of accounting can employ to adapt to the current and ever-evolving landscape. This thorough analysis concludes that the sustainable digitalization of the accounting sector in Kenya highly depends on a concerted effort from educational institutions, industry stakeholders, government agencies, and professional bodies. It provides pragmatic recommendations for policymakers and provides suggestions for areas of further research, with a deep emphasis on phased implementation, capacity building, across-the-board empirical research, boosted investment in critical and resilient infrastructure, and functional governance frameworks.
Analisis Komparatif Metode Ward & Peppard dan Anita Cassidy untuk Perencanaan SI/TI muhammad izzudin farhans; Muhammad Khotibul Umam; Andre Leto; Rizky Parlika
Jurnal Sarjana Teknik Informatika Vol. 14 No. 1 (2026): Februari
Publisher : Program Studi Informatika, Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jstie.v14i1.31461

Abstract

Transformasi digital mendorong organisasi untuk menyesuaikan strategi bisnis dengan pemanfaatan teknologi informasi (TI) secara terarah. Dalam konteks tersebut, perencanaan strategis sistem informasi dan teknologi informasi (SI/TI) menjadi elemen penting dalam mencapai keselarasan antara tujuan bisnis dan inisiatif digital. Penelitian ini bertujuan untuk menganalisis secara komparatif dua metodologi yang banyak digunakan, yaitu Ward & Peppard dan Anita Cassidy, melalui pendekatan Systematic Literature Review (SLR) dengan kerangka kerja PRISMA terhadap 30 artikel terpilih dari database Google Scholar, IEEE Xplore, SpringerLink, Garuda, dan SINTA. Hasil analisis menunjukkan bahwa metode Ward & Peppard unggul dalam analisis strategis internal-eksternal dan pemetaan kondisi organisasi, sedangkan metode Anita Cassidy lebih menekankan pada tahapan implementatif melalui siklus Visioning, Analysis, Direction, dan Recommendation. Kedua metodologi dinilai saling melengkapi, Ward & Peppard menyediakan dasar analitis yang kuat, sementara Anita Cassidy memperkuat aspek pelaksanaan dan roadmap digitalisasi. Tren penelitian terbaru menunjukkan pergeseran menuju pendekatan kombinatif dan adaptif yang mengintegrasikan kekuatan kedua metodologi tersebut untuk mendukung transformasi digital yang berkelanjutan. Kajian ini merekomendasikan pengembangan model hibrida Ward–Cassidy sebagai kerangka konseptual baru bagi organisasi publik, pendidikan, dan bisnis dalam merancang strategi SI/TI di era industri 4.0 dan society 5.0.
K-Means Algorithm Application for Clustering Recent University Graduates According to Work Readiness Indicators Putra Aditya, Wigananda Firdaus; Agussalim; Rizky Parlika
Journal of Technology and Informatics (JoTI) Vol. 8 No. 1 (2026): Vol. 8 N. 1 (2026)
Publisher : Universitas Dinamika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37802/joti.v8i1.1281

Abstract

Graduate work-readiness segmentation is essential for data-driven career services in universities. This study applies K-Means clustering to tracer-study data using four input indicators: GPA (IPK), TOEFL, soft-skill points (SSKM), and study duration, while employment status and waiting time are treated as external outcomes. Records from 669 graduates (2020–2023) were preprocessed via deduplication, range checks, and z-score standardization. The number of clusters was determined data-driven over K=2–10 using the Elbow Method (SSE) and Davies–Bouldin Index; the optimal K=9 was selected at the DBI minimum. PCA visualization indicated a distinguishable cluster structure. Clusters C0, C3, C5, and C7 exhibited faster transitions (median waiting time 2 months) with high employment proportions (up to ~90%), whereas C2 and C8 showed longer waiting times (≥4 months). Cluster C4 was characterized by the longest study duration and a comparatively lower employment proportion. These results demonstrate that unsupervised learning can reveal actionable readiness segments, supporting targeted interventions (e.g., CV/portfolio clinics, interview practice, structured internships) and providing a foundation for subsequent predictive modeling of graduate outcomes.
Prediksi Suhu Udara Kota Surabaya Menggunakan Prophet dengan Grid Search Hyperparameter Kemal Fahreza Jibran Jibran; Rizky Parlika; Wahyu Syaifullah Jauharis Saputra
Jurnal Sarjana Teknik Informatika Vol. 14 No. 2 (2026): Juni
Publisher : Program Studi Informatika, Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jstie.v14i2.32011

Abstract

Perubahan iklim meningkatkan jumlah panas yang mencapai permukaan terutama wilayah inti perkotaan seperti Surabaya yang terkena dampak urbanisasi dan fenomena Urban Heat Island. Model ini memprediksi suhu dengan cara yang seakurat mungkin, dan kondisi ini menuntut model prediksi suhu udara harian. Penelitian ini bertujuan untuk memprediksi suhu udara harian Kota Surabaya menggunakan model deret waktu Prophet yang dioptimasikan menggunakan Grid Search Hyperparameter. Sample data sebanyak 2.182 observasi setiap triwulan mulai Januari 2020 hingga akhir Desember 2025. Tahapan penenitian meliputi pengumpulan data, prapemrosesan, transformasi, pembagian data secara-kronologis, pelatihan model baseline, optimasi hyperparameter, and evaluasi kinerja. RMSE 0,868362, MAE 0,660211, dan MAPE 2,325906 adalah model prophet baseline RMSE, MAE, and MAPE. Setelah dilakukan optimasi pada parameter changepoint_prior_scale, seasonality_prior_scale, and seasonality_mode, diperoleh peningkatan kinerja dengan nilai evaluasi RMSE 0,858426, MAE 0,657965, and MAPE 2,311441. Hasil dekomposisi menunjukkan adanya tren jangka panjang serta pola musiman tahunan yang dominan. Optimasi hyperparameter terbukti secara keseluruhan meningkatkan prediksi suhu udara di Surabaya.
Co-Authors Agussalim Alif Fahri M Amir Muhammad Hakim Andre Leto Bagus Andreanto Benedictus Rafael Lesmana Berlianda Adha Haque Catherine Mosiara Kenyatta Dasilva, Mortekiano Nigel Dimas Arif Setyawan Fairuz Aldifa Hafi Ihza Farhana Haidar Ananta Kusuma Heri Khariono Ilham Akbar Pradana Kemal Fahreza Jibran Jibran Kholilul Rachman N M Kholilul Rachman N.M Maulana Ihsanur R Muhammad Afifudin Muhammad Izzudin Farhans Muhammad Khotibul Umam Nabella Permata Sari Pratama Wirya Atmaja Putra Aditya, Wigananda Firdaus Radja Aulia Edward Rahmadany Fahreza Taufiqurrahman Rahmat Dimas Syahputra Rheza Rizqi Ahmadi Rico Sandyca N Shavira Maya Ningrum Sugiarto Sunu Ilham Pradika Syamsiar, Syamsiar Tasya Ardhian Nisaa’ Wahyu Syaifullah Jauharis Saputra Yohanes Dimas Wisnu Wiratama