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All Journal YUME : Journal of Management Majalah Ilmiah UNIKOM International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) International Journal of Research and Applied Technology (INJURATECH) Academic Journal of Computer Science Research (AJCSR) Journal of Artificial Intelligence and Digital Business Journal Research of Social Science, Economics, and Management Jurnal Salingka Nagari Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Technologia Journal
Bachtiar, Adam Mukharil
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Arts Humanities 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 Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Social Sciences

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Computational Thinking: The Essential Skill for being Successful in Knowledge Science Research Bachtiar, Adam Mukharil
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 4 No. 1 (2023): INJIISCOM: VOLUME 4, ISSUE 1, JUNE 2023
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v4i1.9558

Abstract

The VUCA world concept was established in 2016 as the new challenge universe in the 21st century. Humans live in Society 5.0 and the VUCA world simultaneously. The digital word has been a noisy word since then. There are a lot of requisite skills to be a survival kit for this kind of era. The VUCA world's affection is spreading in the way of thinking and creating innovation, especially in the research domain. As a newcomer, Knowledge Science should state the requisite skills for its researchers to conduct their research successfully. Many researchers offered computational thinking as a candidate for an essential skill to satisfy the effect of the VUCA world. This study was focused on conducting a descriptive analysis method based on several literature reviews for mapping how computational thinking can serve as a best practice for Knowledge Science research. This study successfully revealed the connection between Computational Thinking.
Pandawa App: Student Guide Application after the Covid-19 Pandemic Rafdhi, Agis Abhi; Bachtiar, Adam Mukharil; Hayati, Euis Neni; Mega, Raiswati Untsa
International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Vol. 4 No. 2 (2023): INJIISCOM: VOLUME 4, ISSUE 2, DECEMBER 2023
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injiiscom.v4i2.13895

Abstract

The purpose of this research is to design a mobile-based application that functions as a pre-lecture socialization platform so that the post-Covid-19 transition period can be maintained and carried out well. The research method used in this research is descriptive analysis with a qualitative approach. We used an object-oriented approach with the System Development Life Cycle Prototyping in the application development process. The results show that the Pandawa application development can provide lecture guidance properly using a digital platform that can be accessed via smartphone. The main concept of this application is to contain procedures or guidelines for implementing face-to-face lectures during the transition period from the Covid-19 pandemic in the New Normal era. In addition, this application also has a feature integrated with the local government for reporting if there are residents who test positive for Covid-19. Therefore, it can be followed up directly and quickly. In the end, this application is present as an information medium to adapt new habits in the world of education, especially at the tertiary level.
Classification of brain tumor based on shape and texture features and machine learning Rizki, M. Alfi; Faisal, Mohammad Reza; Farmadi, Andi; Saragih, Triando Hamonangan; Nugrahadi, Dodon Turianto; Bachtiar, Adam Mukharil; Keswani, Ryan Rhiveldi
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 6 No. 4 (2024): November
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/27236g49

Abstract

Information from brain tumour visualisation using MRI can be used for brain tumour classification. The information can be extracted using different feature extraction techniques. This study compares shape-based feature extraction such as Zernike Moment (ZM), and Pyramid Histogram of Oriented Gradients (PHOG) with texture-based feature extraction such as Local Binary Patterns (LBP), Gray Level Co-occurrence Matrix (GLCM), Histogram of Oriented Gradients (HOG) in brain tumour classification. This research aims to find out which feature extraction is better for handling brain tumour images through the accuracy and f1-score produced. This research proposes to combine each feature based on its approach, i.e. ZM+PHOG for shape-based feature extraction and LBP+GLCM+HOG for texture-based feature extraction with default parameters from the library and modified parameters configured based on previous research. The dataset used comes from Kaggle and has three classes: meningioma, glioma, and pituitary. The machine learning classification models used are Support Vector Machine (SVM), Random Forest (RF), Naive Bayes (NB) and K-Nearest Neighbours (KNN) with default parameters from the library. The models were evaluated using 10-fold stratified cross-validation. This research resulted in an accuracy and f1-score of 84% for texture-based feature extraction with modified parameters in RF classification. In comparison, shape-based feature extraction resulted in accuracy and f1-score of 70% and 68% with modified parameters in RF classification. From the results, it can be concluded that texture-based feature extraction is better in handling brain tumour images compared to shape-based feature extraction. This study suggests that focusing on texture details in feature extraction can significantly improve classification performance in medical imaging such as brain tumours
Pemodelan data warehouse pada jurusan teknik informatika unikom Dharmayanti, Dian; Bachtiar, Adam Mukharil; Heryandi, Andri
Majalah Ilmiah UNIKOM Vol. 12 No. 2 (2014): Majalah Ilmiah Unikom
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1160.85 KB)

Abstract

Informasi sangat dibutuhkan tidak hanya sebagai hasil rekapitulasi saja akan tetapi suatu informasi dapat digunakan untuk membantu dalam proses pengambilan keputusan bagi pihak manajerial maupun eksekutif. Program Studi Teknik Informatika ketika akan melaksanakan akreditasi menghadapi kesulitan dalam menghimpun informasi dikarena penyajian informasi didapat dari berbagai basis data dan file eksternal. Basis data dan file eksternal yang digunakan belum mempunyai struktur yang sama sehingga diperlukan lagi usaha untuk menyeragamkan data. Data warehouse adalah sebuah koleksi data yang berorientasi subjek, diintegrasikan, time-variant, dan non volatile untuk mendukung proses pembuatan manajemen pengambilan keputusan. Hasil dari data warehouse merupakan informasi hasil intisari dari berbagai macam basis data.Hasil penelitian menghasilkan fakta bahwa atribut data pada diagram relasi OLTP masih belum bisa memenuhi kebutuhan data yang ada pada diagram relasi data warehouse dengan membandingkan antara diagram relasi OLTP dengan diagram relasi data warehouse. Terdapat kekurangan data pada OLTP Program Studi Teknik Informatika UNIKOM yang mengakibatkan data pada data warehouse tidak bisa diisi. Dari hasil penelitian ini diharapkan nantinya akan ada integrasi data pada seluruh basis data yang berhubungan dengan data warehouse agar model data warehouse yang telah dibentuk dapat diimplementasi pada penelitian berikutnya
ANALISA PEMANFAATAN MULTIPROTOCOL LABEL SWITCHING PADA ROUTING PROTOCOL OPEN SHORTEST PATH FIRST Friyanto, Angga; Bachtiar, Adam Mukharil; Baihaqi, Abdu Sofyan
Majalah Ilmiah UNIKOM Vol. 18 No. 2 (2020): Majalah Ilmiah Unikom
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/miu.v18i2.3937

Abstract

Digital transformation in various sectors has increased the need for network infrastructure to sustain high traffic. The availability of network resources is an important component in business processes in the digital era. Apart from adding infrastructure, a solution that can be done to meet these needs is optimization. OSPF (Open Shortest Path First) as a mechanism for determining the dynamic data transmission path has good features and performance by calculating automatically using an algorithm that calculates the bandwidth width. In data transmission, MPLS (Multiprotocol Label Switching) is a method of data transmission using labels in the process of forwarding data packets. This study analyzes the optimization of MPLS utilization as a data packet delivery mechanism for OSPF routing protocol communication. The analysis was carried out by comparing the data from the observation of the OSPF network system using MPLS and the OSPF network system without MPLS. From the analysis conducted by comparing the delay and packet loss, it is concluded that the network system using MPLS is more efficient and faster in data communication. Key Words : MPLS, OSPF, Routing, Traffic Engineering, Transmisi Data
Strategi Komunikasi Pemasaran Wondr Multicurrency PT Bank Negara Indonesia Cabang Cianjur Agustin, Nada Delia; Soegoto, Eddy Soeryanto; Wahdiniwaty, Rahma; Sumitra, Irfan Dwiguna; Bachtiar, Adam Mukharil
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 4 (2026): November - January
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i4.4462

Abstract

Perkembangan inovasi layanan digital di sektor perbankan mendorong adanya strategi komunikasi pemasaran yang lebih adaptif terhadap kebutuhan nasabah. Bank Negara Indonesia (Persero) Tbk menghadirkan fitur Wondr Multicurrency sebagai layanan transaksi global yang memungkinkan nasabah bertransaksi menggunakan berbagai mata uang secara praktis. Penelitian ini bertujuan untuk mengetahui bagaimana strategi komunikasi pemasaran yang diterapkan BNI Cabang Cianjur dalam memperkenalkan dan mengoptimalkan penggunaan Wondr Multicurrency kepada nasabah. Metode penelitian yang digunakan adalah pendekatan kualitatif dengan teknik pengumpulan data melalui observasi, wawancara, dan studi dokumentasi. Hasil penelitian menunjukkan bahwa strategi komunikasi pemasaran dilakukan melalui penguatan media sosial, khususnya Instagram @BNI46 dan @Cabang.Cianjur, yang berfungsi sebagai kanal penyebaran informasi, edukasi fitur, serta pembangunan citra digital. Di samping itu, komunikasi langsung melalui customer service dan relationship manager turut berperan dalam memberikan pemahaman mendalam kepada nasabah yang membutuhkan penjelasan tatap muka. Kombinasi kedua strategi ini terbukti efektif meningkatkan awareness, minat, serta tingkat adopsi awal fitur Wondr Multicurrency. Penelitian ini menegaskan pentingnya integrasi pemasaran digital dan konvensional sebagai bentuk komunikasi yang komprehensif dalam mendukung keberhasilan pengenalan produk perbankan digital, sekaligus memperluas jangkauan layanan dan memperkuat kepercayaan nasabah terhadap inovasi berbasis teknologi yang terus berkembang secara signifikan dalam industri perbankan modern.
Integrasi Gemini AI Berbasis Retrieval-Augmented Generation (RAG) pada Moodle untuk Penilaian Esai Otomatis dengan Pendekatan Human-in-the-Loop di Pendidikan Tinggi Adha, Rizki; Lusianto, Lusianto; Syaripudin, Dodi; Kurniawan S, Bobi; Bachtiar, Adam Mukharil; Maulana, Hanhan; Rainarli, Ednawati
Academic Journal of Computer Science Research Vol 8, No 1 (2026): Academic Journal of Computer Science Research (AJCSR)
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/ajcsr.v8i1.16253

Abstract

Penilaian esai merupakan komponen penting dalam evaluasi pembelajaran di pendidikan tinggi, namun proses penilaian manual oleh dosen membutuhkan waktu yang besar dan berpotensi menimbulkan inkonsistensi, terutama pada kelas dengan jumlah mahasiswa yang besar. Penelitian ini bertujuan untuk mengembangkan dan mengevaluasi sistem penilaian esai otomatis berbasis Gemini AI yang terintegrasi dengan Learning Management System (LMS) Moodle menggunakan pendekatan Retrieval-Augmented Generation (RAG) dan mekanisme Human-in-the-Loop (HIL). Penelitian menggunakan metode Research and Development (R&D) dengan model ADDEI, yang meliputi tahap analisis, perancangan, pengembangan, evaluasi, dan implementasi sistem. Evaluasi sistem dilakukan melalui pengujian fungsional (black-box testing), serta kuesioner Human-in-the-Loop yang melibatkan 24 dosen dari 14 perguruan tinggi swasta di wilayah Banten, DKI Jakarta, dan Jawa Barat. Hasil pengujian menunjukkan bahwa seluruh fungsi sistem berjalan sesuai dengan spesifikasi. Evaluasi HIL menunjukkan tingkat penerimaan yang tinggi hingga sangat tinggi, terutama pada indikator peran AI sebagai decision-support system dan tanggung jawab akademik dosen. Selain itu, hasil validasi dosen menunjukkan bahwa sebagian besar rekomendasi skor dan umpan balik yang dihasilkan oleh sistem dapat diterima, dengan dosen tetap memiliki kendali penuh dalam menentukan nilai akhir. Temuan ini menunjukkan bahwa integrasi Gemini AI berbasis RAG dengan mekanisme Human-in-the-Loop efektif sebagai sistem pendukung penilaian esai yang efisien, akuntabel, dan sesuai dengan kebutuhan penilaian akademik di pendidikan tinggi.
STRATEGI KOMUNIKASI PT. SEATAP TEKNOLOGI BERKARYA DALAM MEMBANGUN BRANDING DI MEDIA SOSIAL INSTAGRAM Nugraha, Agung; Soegoto, Eddy Soeryanto; Wahdiniwaty, Rahma; Bachtiar, Adam Mukharil; Sumitra, Irfan Dwiguna
Majalah Ilmiah UNIKOM Vol. 23 No. 2 (2025): Majalah Ilmiah Unikom
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/miu.v23i2.19455

Abstract

This study examines the communication strategies implemented by PT. Seatap Teknologi Berkarya in building brand identity through the Instagram platform. As a wedding planning company established in 2018, Instagram serves as its primary medium to showcase portfolios, establish emotional connections with potential clients, and expand service visibility. The research employs a descriptive qualitative method, utilizing data collection techniques such as observation of the @seatapwedding account and a literature review related to digital communication and branding. The results indicate that the company utilizes several approaches, including visual style consistency, storytelling in messaging, direct audience interaction, and the optimization of Instagram features to strengthen brand identity. Furthermore, client testimonials and collaborations with various vendors enhance public trust in the services offered. The impact of this research demonstrates that an integrated visual communication strategy effectively transforms social media from a mere portfolio gallery into a powerful tool for public trust conversion and brand legitimacy within the competitive wedding industry. Practically, these findings provide a strategic reference model for creative service providers to optimize digital platforms for building emotional resonance and long-term reputation. This study also contributes to the development of digital communication literature regarding the significance of emotional branding in establishing the credibility of service-based companies. Key Words: Communication Strategy, Branding, Instagram, Wedding Organizer, Digital Reputation
PENDEKATAN DESIGN THINKING DALAM STRATEGIC DESIGN ENTREPRENEURSHIP UNTUK PENGEMBANGAN CREATIVE MARKETING AGENCY: STUDI KASUS KAMAR ATAS Rahmadani, Indri Kristanty; Soegoto, Eddy Soeryanto; Wahdiniwaty, Rahma; Bachtiar, Adam Mukharil; Sumitra, Irfan Dwiguna
Majalah Ilmiah UNIKOM Vol. 23 No. 2 (2025): Majalah Ilmiah Unikom
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/miu.v23i2.19456

Abstract

The development of the creative industry has encouraged the emergence of various creative marketing agencies that rely on creativity and design strategies as competitive advantages in entrepreneurial activities. Design is not merely positioned as a visual element, but also as a strategic approach that shapes business value, strengthens brand identity, and enhances corporate competitiveness. This study aims to analyze design-based entrepreneurship strategies in the business development of a creative marketing agency through a case study of KAMAR ATAS. The research employs a qualitative approach using a case study method, with secondary data derived from company profiles, business documentation, and relevant literature. The findings indicate that the implementation of design as an entrepreneurship strategy at KAMAR ATAS is manifested through the integration of creative services, the utilization of integrated media, and the strengthening of brand identity across various marketing activities. These strategies contribute to increasing business value and ensuring business sustainability amid competition in the creative industry. This study is expected to provide a conceptual contribution to the discourse on design-based entrepreneurship, particularly in the development of creative marketing agencies. Key Words: Entrepreneurship, Strategic Design, Creative Industry, Creative Marketing Agency
TINJAUAN LITERATUR : MODEL STRATEGI KOMUNIKASI PEMASARAN DIGITAL PADA USAHA MIKRO KECIL DAN MENENGAH Fristaloka, Gina Dwi; Soegoto, Eddy Soeryanto; Wahdiniwaty, Rahma; Sumitra, Irfan Dwiguna; Bachtiar, Adam Mukharil
Majalah Ilmiah UNIKOM Vol. 23 No. 2 (2025): Majalah Ilmiah Unikom
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/miu.v23i2.19527

Abstract

The rapid development of technology today, especially in digital marketing for Micro, Small and Medium Enterprises (MSMEs), often causes MSME players to experience confusion in determining the priorities for using this technology. The abundance of technology tends to be underutilized by MSME players in developing their businesses. This study aims to develop a strategic model applied to an effective technology roadmap for MSMEs to enhance their competitiveness. The methodology employed in this research is based on a systematic literature review of reputable scientific articles published in the last five years (2020-2025). The results of the study formulate a roadmap model consisting of four crucial stages: (1) The foundation & readiness phase, which focuses on legality and financial literacy; (2) The transaction & capital access phase, which emphasizes the adoption of marketplaces and digital payments; (3) Engagement & Ethics Phase, which prioritizes creative content and storytelling; and (4) Integration & Sustainability Phase, which implements CRM and supply chain management. This study concludes that marketing communication strategies in the digital era cannot be implemented simultaneously. The main implication of this study emphasizes that digital marketing failures are often caused by weak foundations. Therefore, MSMEs are advised not to jump straight into complex technologies without first addressing legal and operational fundamentals to ensure business sustainability. Key Words: Digital marketing, Marketplace, MSME, Roadmap, Social Commerce
Co-Authors Adha, Rizki Agung Nugraha Agustin, Nada Delia Akbar, Aldi Mohamad Andi Farmadi Asep Koswara Baihaqi, Abdu Sofyan Bardansyah, Arifin Bobi Kurniawan, Bobi Burhanuddin Burhanuddin Dharmayanti, Dian Dodi Syaripudin Dodon Turianto Nugrahadi Eddy Soeryanto Soegoto Fadillah, Ismail Hudan Fristaloka, Gina Dwi Friyanto, Angga Hayati, Euis Neni Heryandi, Andri Ishwara, Luki Keswani, Ryan Rhiveldi Kurniawan S, Bobi Lusianto, Lusianto Maulana, Hanhan Mega, Raiswati Untsa Mohamad Akbar, Aldi Muhammad Reza Faisal, Muhammad Reza Puri Swastika Gusti Krisna Dewi Rafdhi, Agis Abhi Rahma Wahdiniwaty Rahmadani, Indri Kristanty Rainarli, Ednawati Rivki, Muhammad Rizki, M. Alfi Salim, Andi Agus Saragih, Triando Hamonangan Sugilar, Audya Pridita Sugiyono, Imanuel Eko Anggun Sumitra, Irfan Dwiguna Syaddad, Hasbu Naim Tarso, Tarso