[{"content":" 学歴情報 # 項目 詳細 学位 物理学学士 (S1) 学部 理学部 就学期間 2021年9月 – 2025年6月 所在地 インドネシア ランプン州 専門分野 物理計装、電子工学、およびマイクロフルイディクス工学 学問的基盤と専門性 # スマトラ工科大学 (ITERA) の物理学学士課程では、物理現象を理解し、それを高精度なテクノロジーへと変換するための強力な分析的・数学的基盤を構築しました。\n在学中、私の研究および学術的な焦点は 物理計装と計算モデリング に向けられ、ハードウェア（IoT/センサー）とソフトウェア（機械学習）を統合するための主要な基盤となりました。\n学術および研究における強み: # 計装とデータ収集: 流体制御回路の設計、マルチスペクトルセンサーのキャリブレーション、および物理パラメーターのリアルタイム監視のためのマイクロコントローラー（ESP32/Arduino）の統合。 マイクロフルイディクスの設計と製造: Lab-on-a-Chip（LoC）システムの詳細な研究、およびCADモデリングと3Dプリンティング（FDM/SLA）を使用したシリンジポンプの開発。 計算物理学と機械学習: 実験室データを分析するための、数値計算手法とPythonを使用した機械学習アルゴリズム（サポートベクターマシン、ランダムフォレスト、人工ニューラルネットワーク）の適用。 学術活動と実験室経験 # ITERAでの在学中、教育および科学研究所の枠組みの中で以下の活動に積極的に貢献しました:\n基礎物理学実験室 ティーチングアシスタント (2022年9月 – 2025年5月): 第一学年（TPB）の学生に対して、実験的実践の指導、計装の基礎理論の解説、およびデータ誤差分析レポートの評価を実施。 物理学学生協会 学術部門 (2022年 – 2025年): 物理学の学生向けに、科学的なディスカッションプログラムや学術的サポートを組織・運営。 ITERAロボティクスユニット マイクロコントローラー部門 (2022年 – 2023年): 応用ロボティクス用のマイクロコントローラーベースの制御システムの設計と開発。 ","date":"2025年6月1日","externalUrl":null,"permalink":"/ja/education/bachelor-of-science-in-physics/","section":"学歴＆教育背景","summary":"物理計装、電子工学、およびマイクロフルイディクス工学を専攻。","title":"物理学学士 (Bachelor of Science in Physics)","type":"education"},{"content":" 科学と精密科学の基盤 # ガルット第7国立高等学校での 数学および自然科学 (MIPA) における教育は、基礎物理学、分析数学、および実験科学に対する私の深い関心の出発点となりました。この時期に培われた強力な精密科学の基盤が、大学での物理科学分野への進学と探求を推進する原動力となりました。\n","date":"2021年6月1日","externalUrl":null,"permalink":"/ja/education/science-and-mathematics-mipa/","section":"学歴＆教育背景","summary":"数学および自然科学 (MIPA) を専攻。","title":"理数科 (MIPA)","type":"education"},{"content":" プロジェクト概要 # RIKODE.COM は、リキ・ムハマドが創業者兼アーキテクトとして設立した、革新的なクラウドプロダクトおよびSaaSプラットフォームを開発・運用するインドネシア発のテクノロジースタジオです。\n開発プロダクト # SENTIX (AI Stock Analytics): マルチエージェントAIシステムを活用したリアルタイム株式市場分析・予測プラットフォーム。 diundang.me: 何万人ものユーザーにサービスを提供するスケーラブルで美しい高級デジタルオンライン招待状SaaS。 AJAR (AI EdTech Platform): 個別の学習スタイルに合わせたインテリジェントなAI教育支援システム。 ","date":"2025年6月1日","externalUrl":null,"permalink":"/ja/portfolio/rikode-technology-studio/","section":"プロジェクトポートフォリオ＆試作開発品","summary":"最先端デジタルプロダクト＆クラウドエコシステムを展開するテクノロジースタジオの設計と開発：SENTIX（AI株式分析）、diundang.me（高級オンライン招待状SaaS）、AJAR（AI教育支援）。","title":"RIKODE.COM — 旗艦テクノロジー＆デジタルプロダクトスタジオ","type":"portfolio"},{"content":" 職務・研究開発概要 # 現在、バンドン工科大学（ITB） にて専任の 計装／電気研究開発エンジニア として、研究成果に基づく 携帯型表面プラズモン共鳴（SPR）結核（TB）診断医療機器プロトタイプ の試作および実用化研究に従事しています。\n主な担当業務・貢献 # プロトタイピング＆ハードウェア設計: SPRポータブル診断機器の電子回路設計、センサーモジュール選定、および組み込みシステムの構築。 解析ソフトウェア開発: センサーからの光学信号を取得し、リアルタイムで測定結果を解析・フィッティングするソフトウェアの開発。 性能評価＆メンテナンス: プロトタイプ製品の日常的なメンテナンス、安定性評価、および医療規格に基づく標準性能試験（バリデーション）の同行・サポート。 ","date":"2025年8月1日","externalUrl":null,"permalink":"/ja/experience/instrumentation-electrical-rd-engineer/","section":"職歴＆研究開発経歴","summary":"結核 (TB) 検出用ポータブル表面プラズモン共鳴 (SPR) 医療診断装置の試作開発・計測制御ソフトウェア開発、および性能評価・標準規格試験の実施。","title":"電気・計装研究開発エンジニア (Instrumentation / Electrical R\u0026D Engineer)","type":"experience"},{"content":" 論文詳細（JEMIT 査読論文） # Attribute Details 著者一覧 Riki Muhammad, Isroni, T. P. Wisesa, T. S. Syahputra 掲載誌・ジャーナル Journal of Energy, Material, and Instrumentation Technology (JEMIT) 巻号・発行年 Vol. 6, No. 1, pp. 24–33, 2025年1月 出版社・発行元 Department of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung DOI 公式リンク 10.23960/jemit.343 公式論文ページ https://jemit.fmipa.unila.ac.id/index.php/jurnal/article/view/343 論文要旨（公式アブストラクト） # \u0026ldquo;Accurate honey type authentication is a significant challenge for small-scale producers, as conventional methods are often costly and impractical. This study aims to design and develop a low-cost honey classification prototype by integrating the AS7265X multispectral sensor with Internet of Things (IoT) technology and machine learning. Spectral data from 18 channels of various Indonesian honey types were acquired using the AS7265X sensor and analyzed exploratively using Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA). The data were then normalized and used to train Artificial Neural Network (ANN), Random Forest (RF), and Support Vector Machine (SVM) classification models. An ESP32-based IoT system was developed for real-time monitoring and cloud data storage. The results demonstrate that AS7265X spectral data effectively differentiate honey types, with the ANN model achieving 94.05% accuracy, supported by a responsive IoT system (1–2 seconds) for monitoring and centralized storage.\u0026rdquo;\n主な技術・研究成果 # AS7265X 18チャンネル分光計測： 紫外 (UV) から可視光 (VIS)、近赤外 (NIR) に至る18波長の分光スペクトルデータを高速取得。 最高精度 ANNモデル (94.05%)： 探索的データ分析（PCAおよびLDA）を実施後、ANN、RF、SVMの各分類器を検証し、ANNが 精度 94.05% を記録。 高速IoTクラウド監視システム： ESP32マイクロコントローラーに基づく 1〜2秒 レスポンスの遠隔監視および一元クラウドデータ格納システムを構築。 推奨引用（BibTeX Citation） # @article{muhammad2025development, title={Development of a Portable Low-Cost Multispectral Sensor Integrated with IoT and Machine Learning for Classifying Honey Types}, author={Muhammad, Riki and Isroni, Isroni and Wisesa, T. P. and Syahputra, T. S.}, journal={Journal of Energy, Material, and Instrumentation Technology (JEMIT)}, volume={6}, number={1}, pages={24--33}, year={2025}, doi={10.23960/jemit.343}, publisher={University of Lampung} } ","date":"2025年1月31日","externalUrl":null,"permalink":"/ja/publications/jemit-2025-multispectral-honey-sensor/","section":"学術論文＆研究成果","summary":"JEMIT 2025 査読論文：AS7265X 18チャンネルマルチスペクトル光学センサー、ESP32リアルタイムIoTテレメトリー、および機械学習（ANN・判別精度 94.05%）を統合した低コスト蜂蜜品質分類システムの開発。","title":"Development of a Portable Low-Cost Multispectral Sensor Integrated with IoT and Machine Learning for Classifying Honey Types","type":"publications"},{"content":" プロジェクト概要 # 本研究開発では、Lab-on-a-Chip マイクロ流路実験における超精密な流体制御（マイクロリットル/分クラス）を実現するための 高精度デュアルシリンジポンプ制御システム を設計・開発しました。\n主な技術的特徴 # デュアルステッピングモーター同時駆動: Arduinoおよび専用ステッピングモータードライバーを利用し、2本のシリンジを独立して精密駆動・微小制御。 Pythonによる流体制御ソフトウェアインターフェース: GUIアプリを通じてリアルタイムでの流速設定・自動注入プロセスを監視。 高精度線形回帰キャリブレーション: Python（Scikit-learn, Pandas）による線形回帰モデリングを用いてステッピングパルスと実際の吐出量のキャリブレーションを行い、R² = 0.9998 の高い直線性・精度を検証。 ","date":"2024年5月15日","externalUrl":null,"permalink":"/ja/portfolio/dual-syringe-pump-system/","section":"プロジェクトポートフォリオ＆試作開発品","summary":"マイクロフルイディクス流路の精密制御を目指した高精度デュアルシリンジポンプのファームウェア・ソフトウェア開発。Python線形回帰アルゴリズムによる流量キャリブレーションで R² = 0.9998 の高精度を達成。","title":"デュアルシリンジポンプ制御インターフェース ＆ 線形回帰キャリブレーション","type":"portfolio"},{"content":" 論文詳細（IEEE Xplore 国際会議） # Attribute Details 著者一覧 T. L. O. Hertanto, E. D. Kurniawan, A. T. Oktaviana, C. C. Jessiena, J. P. Toba, Riki Muhammad 学会・会議名 2024 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET) 開催日＆会場 2024年11月12日〜13日・インドネシア IEEE Xplore 収録日 2024年12月27日 出版社・発行元 IEEE ISBN / ISSN Electronic ISBN: 979-8-3315-3972-6 / Print on Demand ISBN: 979-8-3315-3973-3 DOI 公式リンク 10.1109/ICRAMET63821.2024.10809304 IEEE Xplore ページ https://ieeexplore.ieee.org/abstract/document/10809304/ 論文要旨（公式アブストラクト） # \u0026ldquo;Microfluidic has emerged as a strong tool in several domains, including biology, chemistry, and medicine. However, manufacturing microfluidic devices using traditional techniques such as photolithography and soft lithography may be costly and time-consuming. In this research, we described a low-cost microfluidic device production approach based on a 3D printer. The 3D printer employs digital light precision technology to produce microfluidic devices with extreme precision and accuracy. Using this technology, microfluidic devices are created, showcasing its potential for usage in lab-on-a-chip and sensor applications. Our findings show that the 3D printer can produce high-quality microfluidic devices for a substantially cheaper cost than previous approaches.\u0026rdquo;\n主な研究ハイライト # 大幅なコスト削減： 従来のクリーンルームを必要とするフォトリソグラフィーやPDMSソフトリソグラフィーと比較し、大幅に低コストかつ短時間での微小流路製造を実現。 高解像度DLP光造形技術： デジタル光処理（Digital Light Processing）3Dプリンターを採用し、極めて高い寸法精度でマイクロチャンネルを形成。 Lab-on-a-Chip とセンサー統合： 開発されたマイクロ流路デバイスの実験室やセンサー統合（リアルタイムpH測定など）への実用性を実証。 推奨引用（BibTeX Citation） # @inproceedings{hertanto2024rapid, author={Hertanto, T. L. O. and Kurniawan, E. D. and Oktaviana, A. T. and Jessiena, C. C. and Toba, J. P. and Muhammad, Riki}, booktitle={2024 International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET)}, title={Rapid and Low-Cost Microfluidic Devices Fabricated Using a 3D Printer}, year={2024}, pages={1-6}, doi={10.1109/ICRAMET63821.2024.10809304}, publisher={IEEE} } ","date":"2024年12月27日","externalUrl":null,"permalink":"/ja/publications/icramet-2024-microfluidic-3d-printer/","section":"学術論文＆研究成果","summary":"ICRAMET 2024 (IEEE Xplore) 掲載論文：デジタル光処理 (DLP) 3Dプリンターを用いた、フォトリソグラフィーやソフトリソグラフィーに代わる低コストで高速なマイクロフルイディクス Lab-on-a-Chip デバイス製造技術。","title":"Rapid and Low-Cost Microfluidic Devices Fabricated Using a 3D Printer","type":"publications"},{"content":" インターンシップ研究概要 # インドネシア国立研究開発機構（BRIN） にて、6ヶ月間の科学研究インターンとしてマイクロフルイディクスおよび精密制御システムの試作研究に従事しました。\n主な研究成果 # デュアルシリンジポンプの設計＆制御: マイクロ流路実験における超精密流体制御に向けたデュアルシリンジポンプシステムの設計およびファームウェア開発。 ソフトウェアインターフェースの開発: ポンプの動作制御およびモニタリングを行うPC/GUIアプリケーションの開発・検証。 Lab-on-a-Chip 3Dプロトタイピング: 実験室規模での化学反応用マイクロ流路デバイス（3種類）のCAD設計および Formlabs SLA / 3Dプリンティングによる製造・耐久性最適化。 ","date":"2024年7月31日","externalUrl":null,"permalink":"/ja/experience/scientific-researcher-intern/","section":"職歴＆研究開発経歴","summary":"マイクロフルイディクス流体制御用デュアルシリンジポンプシステムの試作設計・ファームウェア開発、および3種類のLab-on-a-Chipマイクロ流路デバイスの3D製造プロセス最適化。","title":"科学研究インターン (Scientific Researcher Intern)","type":"experience"},{"content":" プロジェクト概要 # インドネシア国立研究開発機構（BRIN）における研究開発の一環として、微細化学反応・バイオアッセイ実験用の マイクロフルイディクス（微小流路）Lab-on-a-Chip デバイス の設計と精密3D製造プロセスを構築しました。\n主な技術的特徴 # Autodesk Fusion 360 による精密CADモデリング: 実験要件に応じた3種類の複雑なマイクロ流路・ミキサーチャンネル構造を3D設計。 SLA光造形（Formlabs）による高解像度製造: 従来のフォトリソグラフィーやPDMS成型よりも大幅なコスト削減および時間短縮を実現する直接3Dプリント製法。 耐圧性およびリーク試験: 微小チャンネル内での液漏れ防止および長期的な実験耐久性を評価・検証。 ","date":"2024年6月20日","externalUrl":null,"permalink":"/ja/portfolio/microfluidic-lab-on-chip-3d/","section":"プロジェクトポートフォリオ＆試作開発品","summary":"Lab-on-a-Chip実験用の各種マイクロフルイディクスデバイスの高速3D CAD設計およびラピッドプロトタイピング。Formlabs SLA高解像度光造形機による精密微小流路加工技術の確立。","title":"マイクロフルイディクス Lab-on-a-Chip 3D精密モデリング＆プロトタイピング","type":"portfolio"},{"content":" 指導アシスタント業務概要 # スマトラ工科大学（ITERA） の基礎物理学実験室にて、2年9ヶ月にわたりTPB（第一学年共通教育課程）の学生を対象とした実験指導および教育支援業務を担当しました。\n主な担当業務 # 実験指導＆データ解析サポート: 基礎物理実験における実験理論の解説、測定機器の操作指導、および正確なデータ収集手法のアドバイス。 成績評価＆レポート採点: 学生の実験結果レポートの評価、口頭試問・確認テストの実施およびフィードバックの提供。 ","date":"2025年5月31日","externalUrl":null,"permalink":"/ja/experience/laboratory-teaching-assistant/","section":"職歴＆研究開発経歴","summary":"基礎物理学実験における指導アシスタント（TPB学生対象）。実験データ収集法・理論解析の指導、評価テストの実施および実験レポートの採点。","title":"基礎物理実験・ティーチングアシスタント (Laboratory \u0026 Teaching Assistant)","type":"experience"},{"content":" プロジェクト概要 # 小規模生産者向けに、従来の高額で複雑な化学分析器に代わる、低コストかつ高精度な マルチスペクトル蜂蜜分類・品質評価プロトタイプシステム を開発しました。\n主な技術的特徴 # AS7265X 18チャンネルマルチスペクトル計測: 紫外 (UV)、可視光 (VIS)、および近赤外 (NIR) 領域にわたる18波長の分光データを高速取得。 ESP32ベースのリアルタイムIoTテレメトリー: 計測データを1〜2秒でクラウド環境に送信・一元管理・遠隔監視。 機械学習モデルの比較比較検証: 人工ニューラルネットワーク（ANN）、ランダムフォレスト（RF）、サポートベクターマシン（SVM）で学習・評価を行い、ANNモデルにて最高精度 94.05% を達成。 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