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All Journal RABIT: Jurnal Teknologi dan Sistem Informasi Univrab NUSANTARA : Jurnal Ilmu Pengetahuan Sosial YUME : Journal of Management KOMPUTIKA - Jurnal Sistem Komputer Jurnal Ilmu Politik dan Komunikasi Jurnal Ekonomi Bisnis Dan Industri (EBI) Jurnal Digit : Digital of Information Technology Journal of Economics, Management, Business And Accounting (JEMBA) Academic Journal of Computer Science Research (AJCSR) Journal Of World Science Jurnal Nasional Teknik Elektro dan Teknologi Informasi Journal Research of Social Science, Economics, and Management Eduvest - Journal of Universal Studies Technologia Journal
Adam Mukharil Bachtiar
Universitas Komputer Indonesia
Aerospace Engineering Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Neuroscience Social Sciences

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Pembangunan Class Library untuk Domain Product Management di Aplikasi M-Commerce pada Android Adam Mukharil Bachtiar; Arifin Bardansyah
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 6 No 3: Agustus 2017
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1050.792 KB)

Abstract

Criteo reports that the use of M-Commerce in 2015 has increased about 15% - 26%, compared to 2014. In 2015, users access M-Commerce using mobile phone more often than other devices. Around 54% of those users use mobile app while 46% use mobile browser. In addition, there is an increase in conversion value of the number of users switching from mobile browser to mobile app by 120%. In all these activities, 286% of users focus on product viewing activities. This phenomenon requires software developers to develop M-Commerce in a short time. On the other hand, the developers need time to develop MCommerce. One of the time-consuming activities is the development of functions for product management. Based on the software development, there is one concept that can be used, which is class library. A class library is a collection of classes and methods that provide functionality as basis for building a system within a case domain. The first step in this research is to do domain analysis to acquire frozenspot, hotspot, and function mechanism that will be provided in class library. The result of the hotspot will be analyzed to obtain the nine basic functions in the domain of product catalog case in M-Commerce. These functions will be mapped into ten classes in a class library which will be tested using unit testing and integration testing that can be used by M-Commerce developers to accelerate the development of product management on M-Commerce.
Analysis of the Development and Business Opportunities of Digital Business in Indonesia in the Last Five Years Lukito Angga Prasakti; Eddy Soeryanto Soegoto; Rahma Wahdiniwaty; Adam Mukharil Bachtiar
Eduvest - Journal of Universal Studies Vol. 6 No. 4 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i4.53071

Abstract

Indonesia's digital economy has shown rapid growth over the past five years. The e-Conomy SEA 2024 report noted that the gross merchandise value (GMV) of the digital economy increased from US$27 billion in 2018 to US$90 billion in 2024, with projections of reaching US$200–360 billion by 2030. The largest contribution comes from the e-commerce sector, which reached US$65 billion in 2024. Meanwhile, the adoption of digital payments and fintech is increasing rapidly; Bank Indonesia reported that electronic money transactions increased from 47.2 trillion rupiah in 2018 to 594.2 trillion rupiah in 2024. This article is designed to map trends, analyze opportunities, and link digital business developments in Indonesia to government policies, technological developments, consumer behavior, and the startup and MSME ecosystems. The research will employ a systematic literature review approach and secondary data analysis from government reports, scientific journals, and industry surveys. In addition to examining e-commerce and fintech, the study will also examine the edtech subsector—which is projected to have a market value of US$3.23 billion in 2024 with a predicted annual growth of 11.79% through and healthtech, with transaction value projected to increase from US$16 billion in 2023 to US$34 billion in 2027. Challenges such as digital infrastructure inequality, talent shortages, data privacy and cybersecurity regulations, and funding gaps will also be part of the analysis. This research is expected to provide a comprehensive mapping and strategic recommendations for the government, business actors, and researchers to strengthen Indonesia's digital business ecosystem.
DIGITAL CROWDSOURCING UNTUK INFRASTRUKTUR PERKOTAAN: PENDEKATAN TATA KELOLA SMART CITY Linda Norhan; Eddy Soeryanto Soegoto; Rahma Wahdiniwaty; Irfan Dwiguna Sumitra; Adam Mukharil Bachtiar
Jurnal EBI Vol 8, No 1 (2026): Jurnal Ekonomi Bisnis dan Industri
Publisher : Fakultas Ekonomi dan Bisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52061/ebi.v8i1.525

Abstract

The primary challenge in maintaining infrastructure within developing urban areas is the government's limited capacity to monitor damage in real-time. This study aims to develop and evaluate 'JagaInfra', a web-based platform designed using the Laravel framework as an instrument of social technopreneurship. This research adopts the Design Science Research (DSR) methodology to design a technological artifact that resolves the inefficiency of the reporting bureaucracy. The study highlights how the transformation from manual reporting to a digital crowdsourcing system can enhance public participation. System evaluation results indicate that location validation features (geotagging), distribution map visualization, and transparency in handling status are capable of improving data accountability and public trust. Managerially, JagaInfra offers an effective collaborative governance model within the Smart City ecosystem
From Students To Talent: Orchestrating Human Capital For The Technopreneurial University Transformation Imanuel Eko Anggun Sugiyono; Eddy Soeryanto Soegoto; Rahma Wahdiniwaty; Irfan Dwiguna Sumitra; Adam Mukharil Bachtiar; Puri Swastika Gusti Krisna Dewi
YUME : Journal of Management Vol 9, No 2
Publisher : Pascasarjana STIE Amkop Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37531/yume.v9i2.11446

Abstract

This research focuses on testing the effectiveness of the Student-HRM framework—Competency Development, Incentive Support, and Innovation-based Assessment—in influencing multidimensional transformation of student technopreneurship (Culture, Digital Readiness, and Innovation Ecosystem) in higher education institutions. Based on a quantitative explanatory design, data were obtained from 100 undergraduate students who are actively involved with digital entrepreneurship programs through a purposive sampling technique. The conceptual model was tested using Partial Least Squares Structural Equation Modeling (PLS-SEM) via SmartPLS 4 to assess the measurement model and evaluate the structural path coefficients by a bootstrapping procedure using 5,000 subsamples. The structural model shows significant predictive power (R2 > 0.70). The results highlighted a surprising paradox: Competency Development Support did not contribute significantly to transformation in any dimension, therefore questioning the ingrained belief that training alone leads to readiness. On the other hand, Incentive and Appreciation Support emerged as the stronger predictor and significantly affected all three dimensions. Innovation-based Assessment, however, was effective only in shaping the Technopreneurship Culture but proved ineffective in improving Digital Readiness or Ecosystem engagement.
Hyperparameter Optimization of Random Forest for Multiclass Classification of Student Academic Performance Using Multidimensional Factors Sri Nurhayati; Diana Effendi; Bobi Kurniawan Soegoto; Adam Mukharil Bachtiar; Hanhan Maulana; Ednawati Rainarli
Komputika : Jurnal Sistem Komputer Vol. 15 No. 1 (2026): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputika.v15i1.18885

Abstract

Classification for academic performances among students in a multi-class scenario is a challenging task due to its dependencies on multiple factors and characteristics, particularly in the medium academic performance category. This scenario makes it a problem for some models with their conventional settings in terms of their ability to optimally distinguish categories of academic performances while being used in classification tasks, thus leading to the need for optimization techniques in enhancing their performances. This research paper will design an optimization strategy for improving the performances of the Random Forest algorithm in a multi-class academic performance classification among students. This will help in enhancing decision-making systems in education. The research method used is a machine learning approach with a Random Forest algorithm optimized through hyperparameter tuning using RandomizedSearchCV. This study utilizes secondary student data obtained from the Kaggle public repository, consisting of 6,607 data points with 20 determining factors covering academic, behavioral, social, environmental, and health aspects. The results showed that Random Forest hyperparameter optimization was able to improve model performance from a baseline accuracy of 79.56% to 81.08% on the validation data, and achieved an accuracy of 81.69% on the test data. In addition, there was an improvement in performance in the Medium category classification, as indicated by an increase in the F1-score value from 0.69 to 0.72. Therefore, the optimization of Random Forest proved to be good in enhancing the performance and stability of multiclass classification of student academic performance.
Smart Notification System with the Integration of Robotic Process Automation and Reinforcement Learning Andri Heryandi; Sufa Atin; Hani Irmayanti; Adam Mukharil Bachtiar; Hanhan Maulana; Bobi Kurniawan Soegoto; Ednawati Rainarli
Komputika : Jurnal Sistem Komputer Vol. 15 No. 1 (2026): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputika.v15i1.18951

Abstract

This study proposes the development of an intelligent academic notification system by integrating Robotic Process Automation (RPA) and Reinforcement Learning (RL) to improve the effectiveness of delivering information to students and parents. RPA is utilized to automate the process of sending notifications across various channels, such as email and WhatsApp, ensuring fast, consistent, and hands-free message distribution. RL is implemented to determine the optimal communication channel based on delivery history, message status (sent, failed, read), and the cost associated with each channel. Each student is represented as a state, while the selection of a communication channel becomes an action evaluated using Q-learning. The system learns from recipient behavior and updates the Q-table to enhance the accuracy of channel selection for future notifications. Additionally, the system applies an automatic escalation mechanism to parents as the deadline approaches. The result of this research is a smart notification system that can be implemented within academic information systems to enhance operational efficiency and student engagement.
IMPLEMENTASI METODE K-NEAREST NEIGHBOR (K-NN) DAN FORWARD CHAINING UNTUK MONITORING TUMBUH KEMBANG BALITA Petrus Sokibi Sukanto; Rifqi Fahrudin; Ridho Taufiq Subagio; Ednawati Rainarli; Adam Mukharil Bachtiar; Hanhan Maulana; Bobi Kurniawan
Jurnal Digit : Digital of Information Technology Vol 16, No 1 (2026)
Publisher : Universitas Catur Insan Cendekia (CIC) Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51920/jd.v16i1.460

Abstract

Pelayanan pelaporan hasil pemeriksaan balita di Posyandu seringkali menghadapi kendala akurasi dan keterlambatan informasi, yang menyulitkan kader serta orang tua dalam memantau tumbuh kembang anak secara efektif. Penelitian ini bertujuan untuk merancang bangun model sistem informasi berbasis website yang mampu menentukan status gizi dan perkembangan motorik balita secara akurat. Sistem ini mengintegrasikan dua metode kecerdasan buatan: K-Nearest Neighbor (K-NN) untuk klasifikasi status gizi berdasarkan antropometri, dan Forward Chaining untuk mendeteksi tahap perkembangan kemampuan motorik balita. Pengembangan model perangkat lunak dilakukan menggunakan framework CodeIgniter dengan pemodelan sistem menggunakan Unified Modelling Language (UML). Hasil penelitian menunjukkan bahwa model website ini memiliki performa yang sangat baik dengan tingkat akurasi sebesar 85,71% untuk penentuan status gizi melalui metode K-NN, dan tingkat akurasi mencapai 100% untuk identifikasi perkembangan motorik menggunakan Forward Chaining. Model ini diharapkan dapat menjadi alat monitoring yang handal bagi tenaga kesehatan dan orang tua. Sebagai pengembangan di masa depan, disarankan penambahan fitur switch akun bagi orang tua yang memiliki lebih dari satu balita untuk mempermudah manajemen data perkembangan anak secara personal.Kata kunci: Posyandu, Status Gizi, Perkembangan Balita, K-Nearest Neighbor, Forward Chaining.
Analisis Efektivitas Transformasi Digital dalam Skema Sertifikat Halal di Provinsi Banten Rita Sari Puspita; Mari Maryati; Eddy Soeryanto Soegoto; Rahma Wahdiniwaty; Irfan Dwiguna Sumitra; Adam Mukharil Bachtiar; Suryatno Wiganepdo Soegoto
JEMBA Vol 6 No 1 (2026): Journal of Economics, Management, Business and Accounting
Publisher : Fakultas Ekonomi dan Bisnis Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/jemba.v6i1.18897

Abstract

Digital transformation has become a central element of public service reform, including the implementation of halal certification in Indonesia. This study aims to analyze the effectiveness of digital transformation in the halal certification scheme in Banten Province and to identify the key factors influencing its performance. A quantitative explanatory approach was employed through a survey of 235 micro and small enterprise owners who had applied for or were in the process of applying for halal certification using a digital system. The data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM). The findings indicate that digital transformation has improved service accessibility and transparency; however, its overall effectiveness has not yet been fully achieved, particularly in terms of process efficiency and time certainty. The effectiveness of digital halal certification services is influenced by system quality, information quality, quality of facilitation services, and users’ facilitating conditions. These results suggest that the success of digital transformation in regulatory public services is not determined solely by technological quality, but also by implementation support and contextual factors at the regional level. Theoretically, this study contributes to the literature on digital transformation in the public sector by emphasizing a public value and socio-technical perspective in evaluating service effectiveness. Practically, the findings provide insights for improving the governance of digital halal certification through strengthening facilitation mechanisms, enhancing digital literacy among enterprises, and adopting more context-sensitive implementation strategies.
INDEKS RISIKO BENCANA PARIWISATA DAN KLASTER KABUPATEN KOTA JAWA BARAT BERBASIS DATA WISATA 2020–2024: TOURISM DISASTER RISK INDEX AND CLUSTERING OF WEST JAVA REGENCIES AND CITIES BASED ON TOURISM DATA (2020–2024) Ucu Nugraha; Sri Titi Handayani; Hernalom Sitorus; Bobi Kurniawan S; Adam Mukharil Bachtiar; Ednawati Rainarli; Hanhan Maulana
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 1 (2026): Januari
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i1.7294

Abstract

West Java Province is one of Indonesia’s leading tourism destinations and, at the same time, a region with a high incidence of disasters. However, available disaster risk information such as the Indonesian Disaster Risk Index and the West Java Provincial Disaster Risk Assessment remains broad in scope and has not explicitly integrated the tourism dimension. This study aims to develop a Tourism Disaster Risk Index at the regency/municipality level in West Java Province by utilizing data on the number of disaster events, the number of disaster victims during the 2020–2024 period, and the number of tourism destination objects, while also clustering regions to construct a disaster-based typology of tourism risk. The methods include: (1) aggregating five-year disaster event and victim data by regency/municipality; (2) calculating the total number of tourism destination objects (natural, cultural, and man-made); (3) applying min–max normalization to produce partial indices for events, victims, and tourism destination objects; (4) constructing a composite Tourism Disaster Risk Index using weights of 0.4:0.4:0.2, in which hazard (events) and impact (victims) are deliberately assigned greater weights than tourism exposure as a conceptual decision aligned with disaster risk frameworks that prioritize life safety and physical damage; and (5) applying the K-Means algorithm (k = 3) to perform clustering based on the partial indices. The results show that the Tourism Disaster Risk Index (0–100 scale) ranges from 0.76 to 56.70, with a mean of 12.27 and a median of 6.90. A total of 25 regencies/municipalities fall into the low tourism risk category, while Bogor Regency and Cianjur Regency are in the moderate category. The clustering yields three clusters: cluster 1 comprises 21 regencies/municipalities with relatively low tourism risk; cluster 2 includes five regencies (Bogor, Bandung, Garut, Majalengka, and Pangandaran) characterized by moderate risk and a high concentration of destinations; and cluster 3 consists solely of Cianjur Regency as an outlier with exceptionally high disaster impacts. These findings provide a quantitative foundation as well as a prototype decision-support tool for local governments and stakeholders to prioritize resources and design interventions for disaster-resilient tourism development in West Java Province.  
STRATEGI KOMUNIKASI BISNIS DAN ORIENTASI KEWIRAUSAHAAN PADA SHOWROOM MOBIL BEKAS KEY GARAGE Ria Anggraeni; Eddy Soeryanto Soegoto; Rahma Wahdiniwaty; Irfan Dwiguna Sumitra; Adam Mukharil Bachtiar
JIPSI Jurnal Ilmu Politik dan Komunikasi Vol 16 No 1 (2026): JIPSi : Jurnal Ilmu Politik dan Komunikasi
Publisher : Fakultas Ilmu Sosial dan Ilmu Politik, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/jipsi.v16i1.19087

Abstract

Abstract   The success of automotive business, particularly in the used car market, currently depends on how companies build credibility in the eyes of consumers. This study aims to analyze the business communication strategy and implementation of entrepreneurial orientatiom applied by the Key Garage used car showroom in increasing sales volume and building customer trust. This study uses a descriptive qualitative method. Data were collected through in-depth interview and participant observation to capture the reality on the ground as a whole. In-depth analysis was conducted to map how the business narrative is constructed and how the entrepreneurial spirit is implemented in daily decision-making. The results show that Key Garage implements an integrated communication strategy, combining conventional communication channels (face-to-face) with intensive use of social media to expand market reach. Entrepreneurial orientation is manifested through three main dimensions: innovation in digital marketing, proactiveness in sourcing quality stock units, and the courage to take risks in setting competitive prices. The synergy between persuasive communication and a strong entrepreneurial mentality has proven to be a crucial factor in building customer loyalty and strengthening Key garage’s brand position. This study confirms that strengthening digital literacy and transparency of product information are key factors in maintaining consumer loyalty in the used car business.       Abstrak   Keberhasilan bisnis otomotif, khususnya pada pasar mobil bekas, saat ini bergantung pada cara perusahaan membangun kredibilitas di mata konsumen. Penelitian ini bertujuan untuk menganalisis strategi komunikasi bisnis dan implementasi orientasi kewirausahaan yang diterapkan oleh showroom mobil bekas Key Garage dalam meningkatkan volume penjualan dan membangun kepercayaan pelanggan. Penelitian ini menggunakan metode kualitatif deskriptif. Data dihimpun melalui wawancara mendalam dan observasi partisipatif untuk menangkap realitas di lapangan secara utuh. Analisis dilakukan secara mendalam guna memetakan bagaimana narasi bisnis dibangun dan bagaimana jiwa kewirausahaan diimplementasikan dalam pengambilan Keputusan sehari-hari. Hasil penelitian menunjukan bahwa Key Garage menerapkan strategi komunikasi yang terintegrasi, mengombinasikan saluran komunikasi konvensional (tatap muka) dengan pemanfaatan media sosial secara intensif untuk memperluas jangkauan pasar. Orientasi kewirausahaan diwujudkan melalui tiga dimensi utama yaitu inovasi dalam pemasaran digital, proaktif dalam mencari stok unit yang berkualitas, serta keberanian mengambil risiko dalam menetapkan harga  yang kompetitif. Sinergi antara komunikasi yang persuasif dan mentalitas kewirausahaan yang kuat terbukti menjadi faktor krusial dalam membangun loyalitas pelanggan dan memperkuat posisi merk Key Garage. Penelitian ini menegaskan bahwa penguatan literasi digital dan keterbukaan informasi produk menjadi kunci utama dalam menjaga loyalitas konsumen pada bisnis mobil bekas.  
Co-Authors Ahmad Budi Sulistioyuwono Andi Agus Salim Andri Heryandi Arifin Bardansyah Bobi Kurniawan S Bobi Kurniawan Soegoto Bobi Kurniawan, Bobi Burhanuddin Burhanuddin Diana Effendi Dodi Syaripudin Eddy Soeryanto Soegoto Ednawati Rainarli Hani Irmayanti Hernalom Sitorus Imanuel Eko Anggun Sugiyono Irfan Dwiguna Sumitra Karina Nurhidayah Linda Norhan Luki Ishwara Lukito Angga Prasakti Lusianto Lusianto Mari Maryati Maulana, Hanhan Petrus Sokibi Sukanto Puri Swastika Gusti Krisna Dewi Rahma Wahdiniwanty Rahma Wahdiniwaty Ria Anggraeni Ridho Taufiq Subagio Rifqi Fahrudin Rita Sari Puspita Rizki Adha Sri Nurhayati Sri Titi Handayani Sufa Atin Suryatno Wiganepdo Soegoto Syaddad, Hasbu Naim Ucu Nugraha