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All Journal ComEngApp : Computer Engineering and Applications Journal Jurnal Edukasi Elektro Jurnas Nasional Teknologi dan Sistem Informasi JURNAL NASIONAL TEKNIK ELEKTRO PINTER : Jurnal Pendidikan Teknik Informatika dan Komputer JMECS (Journal of Measurements, Electronics, Communications, and Systems) Journal of Applied Electrical Engineering HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Electrician : Jurnal Rekayasa dan Teknologi Elektro Jurnal Litek : Jurnal Listrik Telekomunikasi Elektronika JURNAL ILMIAH SAINS TEKNOLOGI DAN INFORMASI Media Elektrik Energy Insights Urania: Jurnal Ilmiah Daur Bahan Bakar Nuklir
Wirasapta , Andicho Haryus
Universitas Jambi
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology

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Klasifikasi Tinggi Awan dari Citra Satelit Himawari-8 Menggunakan Fuzzy C-Means, GLCM, dan KNN. Togi Simarmata; Elsa Lolita Anggraini; Abdul Manab; Muhammad Khalis Fikri; Andicho Haryus Wirasapta; Elsi Alfionita Syawal
JURNAL ILMIAH SAINS TEKNOLOGI DAN INFORMASI Vol. 4 No. 3 (2026): Juli : Jurnal Ilmiah Sains Teknologi dan Informasi
Publisher : CV. ALIM'SPUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/jiti.v4i3.2204

Abstract

Monitoring ketinggian awan merupakan parameter penting dalam observasi meteorologi yang berperan strategis dalam analisis dinamika atmosfer serta prediksi cuaca ekstrem. Penelitian ini bertujuan mengembangkan sistem klasifikasi otomatis untuk mengategorikan awan rendah, awan menengah, dan awan tinggi menggunakan citra satelit Himawari-8. Metodologi penelitian mencakup empat tahapan utama: pre-processing untuk standardisasi data, segmentasi menggunakan metode Fuzzy C-Means (FCM) untuk memisahkan objek awan, ekstraksi fitur tekstur berbasis Gray Level Co-occurrence Matrix (GLCM) dengan sembilan parameter, serta klasifikasi menggunakan algoritma K-Nearest Neighbor (K-NN). Data penelitian bersumber dari BMKG Stasiun Meteorologi Cengkareng, Tangerang. Pengujian sistem dilakukan melalui empat skenario eksperimen dengan volume data uji sebanyak 20, 30, 40, dan 50. Hasil penelitian menunjukkan bahwa sistem mampu mendeteksi kategori awan rendah dengan tingkat akurasi yang sangat tinggi, bahkan mencapai performa sempurna pada beberapa parameter efektivitas. Fenomena tumpang tindih (overlapping) pada nilai parameter fitur tekstur antar kelas menyebabkan algoritma K-NN sulit menentukan batas keputusan yang optimal. Secara keseluruhan dari 3 ketinggian awan yang dilakukan, awan rendah dapat diklasifikasikan dengan baik dibanding dengan awan tengah dan awan tinggi. Dari 4 percobaan hasil akurasi untuk awan rendah adalah 100%. Sedangkan untuk awan tengah akurasi yang dihasilan 72,45% dan awan tinggi 90,95%. Penelitian ini merekomendasikan adanya integrasi yang lebih adaptif antara tahap segmentasi dan ekstraksi ciri guna meminimalisir bias klasifikasi pada satu kelas tertentu dan meningkatkan akurasi sistem secara menyeluruh pada seluruh tingkatan awan.
Design Science Research on Human–AI Collaboration in Decision Support Systems: A Hybrid Decision-Making Framework Muhammad Damas Fatih; Aulia Rachmawati; Hamzah Alghifari; Andicho Haryus Wirasapta
Jurnal Nasional Teknologi dan Sistem Informasi Vol 12 No 2 (2026): Agustus 2026
Publisher : Departemen Sistem Informasi, Fakultas Teknologi Informasi, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/TEKNOSI.v12i2.2026.327-339

Abstract

Sistem Pendukung Keputusan (Decision Support Systems/DSS) mengalami perkembangan yang pesat seiring kemajuan teknologi kecerdasan buatan (Artificial Intelligence/AI), yang memungkinkan organisasi mengolah data dalam jumlah besar dan menghasilkan rekomendasi secara lebih efisien. Meskipun demikian, pengambilan keputusan yang sepenuhnya berbasis AI masih menghadapi berbagai tantangan, seperti kurangnya transparansi, keterbatasan pemahaman konteks, bias algoritmik, serta rendahnya kepercayaan pengguna. Di sisi lain, pengambilan keputusan yang sepenuhnya dilakukan manusia juga rentan terhadap keterbatasan kognitif, kelebihan informasi, dan bias penilaian. Penelitian ini mengusulkan suatu Human–AI Collaboration Framework untuk DSS menggunakan pendekatan Design Science Research (DSR). Fokus penelitian adalah merancang dan mengembangkan kerangka konseptual yang mengintegrasikan kemampuan analitis AI dengan keahlian manusia, penalaran kontekstual, dan pertimbangan etis. Framework yang diusulkan terdiri atas tiga lapisan utama, yaitu AI Layer, Human Layer, dan Interaction Layer yang didukung mekanisme Explainable Artificial Intelligence (XAI) serta proses umpan balik berkelanjutan. Framework didemonstrasikan secara konseptual melalui skenario pengambilan keputusan dan dievaluasi berdasarkan analisis literatur. Model yang diusulkan memberikan kontribusi terhadap pengembangan kajian Human–AI Collaboration dengan menyediakan arsitektur terstruktur untuk pengambilan keputusan hibrida sekaligus memberikan panduan praktis bagi pengembangan DSS yang adaptif, transparan, dan berpusat pada manusia
ANALISIS PERBANDINGAN DAN SENSITIVITAS METODE SAW DAN TOPSIS PADA SELEKSI PENERIMA BEASISWA Andicho Haryus Wirasapta; Mohammad Alfiza Rayesa; Muhammad Damas Fatih; Hamzah Alghifari; Octo Gabriel Lumban Tobing
PINTER : Jurnal Pendidikan Teknik Informatika dan Komputer Vol. 10 No. 1 (2026): Jurnal PINTER
Publisher : PTIK Fakultas Teknik UNJ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/pinter.10.1.3

Abstract

The scholarship recipient selection process is a multi-criteria decision-making problem that involves various criteria such as academic achievement, economic conditions, and student activities. A selection process that remains subjective has the potential to produce less optimal and inconsistent decisions. This study aims to analyze the comparison and sensitivity of the Simple Additive Weighting (SAW) method and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) in scholarship recipient selection. The research method includes the preparation of alternative data, normalization, calculation of preference values, and ranking based on the criteria of Cumulative Grade Point Average, parental income, number of dependents, achievements, and organizational activity. The research results show that both methods produce relatively consistent rankings, but differ in the distribution of preference values. The SAW method tends to be more stable, while TOPSIS is more sensitive to changes in criterion values. Sensitivity analysis shows differences in the stability of results in response to changes in criterion weights. The conclusion of this study shows that the choice of method affects the ranking results and decision stability.
Discrete-Time PID Speed Control for DC Motor via Z-Transform: Performance Analysis Across Simulation and Embedded Implementation Environments Andicho Haryus Wirasapta; Hamzah Alghifari; Muhammad Damas Fatih; Mohammad Alfiza Rayesa; Muhammad Taufik Ramadhoni; Tiara Deta Pamungkas
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 20 No. 3 (2026)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v20n3.3210

Abstract

This paper presents the design and comparative performance analysis of a discrete-time Proportional-Integral-Derivative (PID) controller for DC motor speed regulation using the Z-transform method and Zero-Order Hold (ZOH) discretization. The principal contribution is a systematic analysis of controller behavioral differences between an ideal simulation environment (MATLAB/Simulink) and a microcontroller-based simulation platform (Tinkercad Arduino), revealing the quantitative impact of discretization effects on closed-loop dynamic response. System stability is rigorously verified through pole-zero analysis in the Z-plane. Performance evaluation encompasses time-domain metrics rise time, settling time, percent overshoot, and steady-state error supplemented by integral performance indices (ISE, IAE, and ITAE). The Tinkercad implementation yields an underdamped response (tr = 0.827 s, ts = 13.74 s, Mp = 64.78%, ess = 0), while the Simulink simulation produces a critically damped response without overshoot. These discrepancies are quantitatively attributed to finite-precision arithmetic, computational delay, and PWM output resolution constraints inherent to the microcontroller platform. The findings underscore the critical necessity of implementation-aware evaluation in the development of reliable embedded control systems.
Simulation-Based Evaluation of Reliability and Data Continuity in IoT-Based Environmental Quality Monitoring Under Traffic and Failure Scenarios Andicho Haryus Wirasapta; Merisa Rahma Mawaddah; Muhammad Damas Fatih; Tiara Deta Pamungkas; Octo Gabriel Lumban Tobing; Zeeshan Hamid Malik
Computer Engineering and Applications Journal Vol. 15 No. 3 (2026)
Publisher : Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18495/comengapp.v15i3.1409

Abstract

Data continuity problems in environmental monitoring systems due to congestion in communication traffic, interference from wireless communications, and failure of components present a great problem in maintaining accurate and reliable data continuity and environment assessment results. This paper proposes the development of a simulation framework for evaluating the reliability and data continuity of the distributed IoT-based environmental quality monitoring system with different traffic intensities, wireless communication interference levels, and component failures. The reliability performance measures include: data delivery ratio (DDR), packet loss ratio (PLR), transmission delays, system availability, time in interruption state and data continuity ratio (DCR). Based on simulation analysis, the proposed distributed IoT environmental monitoring system has DDR and DCR of 0.971 when the network is under baseline operations. Under high traffic intensity, DDR was reduced to 0.734 while under high traffic and high interference conditions, DDR is reduced to 0.420 while PLR was 0.580. Under gateway component failure, DDR was reduced to 0.409 while under high traffic, high interference, and component failure condition, DCR was 0.487 or a 49.8% reduction from baseline. The recovery techniques have helped significantly increase the availability of the system when the environment is degraded. This indicates that the main factors that determine the reliability of IoT-enabled environmental monitoring systems are gateway resilience and communication efficiency.
A Critical Review of Radioactive Substances Security Management in Indonesia: Regulatory Framework and Implementation Challenges Based on Actual Incidents Andicho Haryus Wirasapta; Tiara Deta Pamungkas
Urania: Jurnal Ilmiah Daur Bahan Bakar Nuklir Vol. 31 No. 2 (2025): Urania: Jurnal Ilmiah Daur Bahan Bakar Nuklir
Publisher : Badan Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/urania.2025.13399

Abstract

The utilization of radioactive sources in various sectors, including medicine and industry, offers significant benefits to public welfare but also poses serious risks if not managed securely. This review article highlights the urgent need for a comprehensive understanding of radioactive substances security, which is conceptually distinct from radiation safety. The purpose of this review is to critically analyze the change of Indonesia's regulatory framework for radioactive substances security, evaluate the implementation challenges, and formulate policy recommendations based on domestic and international case studies. The methodology employed is a systematic literature review and comparative case study analysis of scientific literature, recent regulations, and incident reports from credible institutions such as the Nuclear Energy Regulatory Agency of Indonesia (BAPETEN) and the International Atomic Energy Agency (IAEA). The analysis aims to identify trends, gaps, and causal relationships between policy and practices. It had been found that regulatory framework in Indonesia, particularly through Government Regulation (GR) No. 45 Year 2023 and BAPETEN Regulation (BR) No. 5 Year 2024, has evolved to specifically address security threats. However, implementation faces significant challenges such as insufficient number of human resources and large geographic area. Case studies of the Goiânia incident and the Serpong incident demonstrate that failures in security management can have fatal and widespread consequences. It is concluded that strengthening radioactive substances security management in Indonesia requires not only a robust regulatory framework but also strategic investment in technological innovation, enhancement of qualification and competency personnel, and the establishment of a solid security culture.
EVOLUSI MODULASI DAN CODING 4G-5G: TINJAUAN SISTEMATIS KINERJA DAN EFISIENSI SPEKTRAL: EVOLUTION OF MODULATION AND CODING SCHEMES FROM 4G TO 5G: A SYSTEMATIC LITERATURE REVIEW OF PERFORMANCE AND SPECTRAL EFFICIENCY Muhammad Fatih; Andicho Haryus Wirasapta; Mohammad Alfiza Rayesa; Seren Dwi Nengsih
HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Vol. 17 No. 2 (2026): Jurnal HOAQ - Teknologi Informasi
Publisher : Universitas Uyelindo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52972/hoaq.vol17no2.p281-291

Abstract

Evolusi LTE menuju 5G NR memerlukan analisis terpadu terhadap modulation and coding scheme (MCS), bukan sekadar perbandingan orde modulasi. Penelitian ini menyusun kerangka MCS-sentris untuk menilai keterbandingan hasil serta hubungan efisiensi, reliabilitas, dan biaya implementasi. Korpus mencakup 20 artikel jurnal periode 2021 - Agustus 2026 yang digunakan sebagai 16 kandidat ekstraksi teknis dan empat sumber konteks. Pelaporan metode mengacu pada PRISMA 2020 dan PRISMA-S; rekonstruksi strategi pencarian serta audit kualitas pelaporan disajikan secara eksplisit. Sintesis menggunakan perbandingan dalam studi dan pemetaan konteks pengujian, tanpa menggabungkan outcome yang berbeda. Bukti menunjukkan bahwa throughput decoder, throughput radio, dan efisiensi spektral merupakan metrik berbeda. Pengukuran lapangan tersedia pada sebagian studi, sedangkan bukti AI terutama berasal dari simulasi. Kontribusi penelitian berupa aturan sintesis yang menghubungkan identitas MCS, konfigurasi pengujian, normalisasi metrik, dan tingkat bukti. Keterlacakan seleksi awal dan audit teks penuh masih perlu dilengkapi, sehingga hasil belum mendukung estimasi keunggulan universal 5G atau AI. Implikasi Indonesia dirumuskan sebagai rancangan validasi lapangan terkontrol menggunakan data CQI–MCS–BLER–HARQ yang tersinkronisasi.   The transition from LTE to 5G NR requires an integrated analysis of modulation and coding schemes (MCS), beyond modulation order alone. This review develops an MCS-centered framework to assess comparability and trade-offs among efficiency, reliability, and implementation cost. The corpus comprises 20 journal articles published in 2021–August 2026, used as 16 technical-extraction candidates and four contextual sources. Reporting follows PRISMA 2020 and PRISMA-S principles, with an explicit search reconstruction and reporting-quality audit. The synthesis uses within-study comparisons and testing-context mapping rather than pooling incompatible outcomes. Decoder throughput, radio throughput, and spectral efficiency represent distinct metrics. Some studies provide field measurements, whereas AI evidence primarily comes from simulations. The contribution is a set of synthesis rules linking MCS identity, evaluation configuration, metric normalization, and evidence level. Original selection records and full-text assessment remain incomplete; consequently, the findings do not establish universal 5G or AI superiority. Implications for Indonesia are formulated as a controlled field-validation design using synchronized CQI–MCS–BLER–HARQ observations.
Co-Authors Abdul Manab Akhiyar Waladi Alghifari, Hamzah Ali Satria Wijaya Andre Rabiula Andre Rabiula Aulia Rachmawati Dasrinal Tessal Dasrinal Tessal Dewi Triantini Dewi Triantini Elsa Lolita Anggraini Elsi Alfionita Syawal Fatih, Muhammad Damas Febriliyan Samopa Fikri , Muhammad Khalis Fikri Muhammad , Khalis Fikri Fiqri Al Faruqi Gusri, Lailal Hamzah Alghifari Hamzah Alghifari Hamzah Alghifari Imas Ning Zhafarina Jefri Marzal Khalis Fikri, Muhammad Malik, Zeeshan Hamid Merisa Rahma Mawaddah Mishi , Salmuna Sajjad Mohammad Alfiza Rayesa Mohammad Alfiza Rayesa Muhammad Damas Fatih Muhammad Damas Fatih Muhammad Fatih Muhammad Khalis Fikri Muhammad Taufik Ramadhoni Octo Gabriel Lumban Tobing Octo Gabriel Lumban Tobing Pamungkas, Tiara Deta Pertiwi Nurul Utami Pujiono, Agung Ramadhani, Salisa 'Asyarina Rayesa, Mohammad Alfiza Sajjad Mishi, Salmuna Saputra , Angga Riyan Trio Seren Dwi Nengsih Tiara Deta Pamungkas Tiara Deta Pamungkas Tiara Deta Pamungkas Tiara Deta Pamungkas Togi Simarmata Yandi Anzari Yendri Modika Zeeshan Hamid Malik