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All Journal Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Jurnas Nasional Teknologi dan Sistem Informasi Jurnal Ilmiah KOMPUTASI CIRCUIT: Jurnal Ilmiah Pendidikan Teknik Elektro Jurnal Teknik Informatika UNIKA Santo Thomas JPP IPTEK (Jurnal Pengabdian dan Penerapan IPTEK) Jurnal Teknologi Sistem Informasi dan Aplikasi J-SAKTI (Jurnal Sains Komputer dan Informatika) JUTEKIN (Jurnal Manajemen Informatika) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) IJEEIT : International Journal of Electrical Engineering and Information Technology Jurnal Tekno Kompak Applied Technology and Computing Science Journal Jurnal Tata Kelola dan Kerangka Kerja Teknologi Informasi bit-Tech Jurnal Informasi dan Teknologi JTIK (Jurnal Teknik Informatika Kaputama) Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics G-Tech : Jurnal Teknologi Terapan Abdi Laksana : Jurnal Pengabdian Kepada Masyarakat Jurnal Teknologi Informatika dan Komputer Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Restikom : Riset Teknik Informatika dan Komputer Jurnal Computer Science and Information Technology (CoSciTech) IICS KLIK: Kajian Ilmiah Informatika dan Komputer J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Info Sains : Informatika dan Sains International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) Jurnal Pengabdian Kepada Masyarakat Abdi Nusa Jurnal Pengabdian Kepada Masyarakat Abdi Putra Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam International Journal Engineering and Applied Technology (IJEAT) Jurnal Pengabdian Masyarakat Bhinneka Biner : Jurnal Ilmiah Informatika dan Komputer Jurnal Pengabdian Masyarakat Bangsa Indonesian Journal of Community Empowerment Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Prosiding SENTIMETER : Seminar Nasional Teknologi Informasi, Mekatronika, dan Ilmu Komputer
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Journal : bit-tech

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Comparison of K-means and DBSCAN Web- Based Food in Clustering Based on Nutritional Content Gina Purnama Insany; Anggun Fergina; Muhammad Ilham Juardi
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.2813

Abstract

Food is the main energy source for the human body; however, poor dietary habits can lead to health risks such as obesity and cardiovascular diseases. Understanding the nutritional composition of food is essential to support healthier dietary decisions. Clustering food based on nutritional content can support personalized diet planning and assist healthcare professionals in recommending healthier food choices. This study applies clustering techniques to group foods based on their nutritional content specifically carbohydrate, calorie, protein, and fat levels using K-Means and DBSCAN algorithms. These unsupervised learning methods are suitable for analyzing numerical data without predefined categories. A key challenge in clustering is determining the optimal number of clusters; thus, evaluation methods such as the Elbow Method, Davies-Bouldin Index (DBI), and Silhouette Score were utilized. The K-Means algorithm achieved a Silhouette Score of 0.578 and a DBI of 0.661, indicating reasonably good clustering, though cluster separation was not optimal. In contrast, DBSCAN outperformed K-Means with a Silhouette Score of 0.626 and a DBI of 0.328, suggesting more compact and well-defined clusters. This indicates that DBSCAN formed more distinct and separated clusters, which is essential for effective grouping of foods based on nutritional similarity. The clustering results were deployed via an interactive web application using Streamlit an open-source Python framework enabling rapid development of lightweight web interfaces. This platform allows users to interactively explore clustering patterns through visualizations and tables, providing an intuitive tool to understand food groupings based on nutritional profiles
Optimization Of Food Product Sales System and Customer Service Through Customer Relationship Management Approach Anggun Fergina; Yulva Cintakandida; Gina Purnama Insany
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.2943

Abstract

ABC Kitchen, a micro, small, and medium enterprise (MSME) in the culinary sector, faced operational inefficiencies due to manual data management and a lack of integration between ordering and payment processes. This study developed a web-based Customer Relationship Management (CRM) system using the IDIC (Identify, Differentiate, Interact, Customize) model to address these issues. Functional validation was conducted using black-box testing, which evaluates system performance against predetermined requirements without examining the internal code structure. Test results on four captured pages demonstrated a 100% success rate across 13 functional scenarios. The system enables automatic customer identification from transaction history, personalized promotions through preference-based differentiation, real-time interactions through an intuitive user interface, and service customization such as vouchers, various payment options, and VIP membership features. Furthermore, an analytics dashboard provides administrators with actionable insights to monitor customer behavior and sales trends, supporting data-driven decision-making. This study contributes to the MSME digital transformation literature by demonstrating how CRM integration can enhance customer engagement, improve operational efficiency, and provide a competitive advantage in a dynamic market environment. The novelty of this study lies in tailoring CRM to the specific operational and marketing needs of micro-scale culinary businesses, enabling sales growth and customer loyalty through an easily accessible sales system. This study demonstrates how context-specific digital CRM solutions can accelerate MSMEs' digital transformation, increase competitiveness, and create a sustainable foundation for growth in a dynamic market. 
Web-Based Drug Inventory System with FIFO Method and SCM Approach at Risa Farma Pharmacy Mayang Selpiyana; Anggun Fergina; Indra Yustiana
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.2951

Abstract

Drug inventory management plays a crucial role in pharmacy operations as it directly relates to drug availability, service accuracy, and the prevention of losses caused by expired medicines. However, many small-scale pharmacies still rely on manual recording, which is prone to stock discrepancies, delayed detection of near-expired drugs, and low administrative efficiency. To address these issues, this study developed a web-based drug inventory system implementing the First In First Out (FIFO) method combined with a Supply Chain Management (SCM) approach. The system was developed using the System Development Life Cycle (SDLC), which includes planning, requirements analysis, system design, implementation, and functional as well as user testing. The results demonstrate that the system successfully reduces potential stock recording errors by up to 75% compared to manual methods and improves transaction recording efficiency by an average of 40%. The SCM approach enables the system to automatically issue alerts when stock reaches a minimum threshold and to provide restock recommendations based on demand data. A User Acceptance Test (UAT) involving 10 respondents produced a satisfaction score of 86%, indicating that the system is effective, user-friendly, and beneficial for pharmacy operations. This study concludes that the integration of FIFO and SCM in a web-based drug inventory system improves data accuracy, enhances operational efficiency, and minimizes the risk of expired medicines. Nevertheless, the system still faces limitations related to data security, internet dependency, and its suitability primarily for small-scale pharmacies.
Cluster Analysis of Electricity Customers in Sukabumi Regency Using K-Means Clustering Andhika Oktasandira; Nugraha Nugraha; Anggun Fergina
bit-Tech Vol. 8 No. 2 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i2.2970

Abstract

The uneven distribution of electrical energy poses a formidable challenge to strategic infrastructure planning and equitable regional development, often hindering sustainable economic growth and exacerbating socio-economic disparities. This issue is particularly acute in a vast and geographically diverse region such as Sukabumi Regency. This study addresses this critical issue by applying the K-Means clustering algorithm to segment 47 sub-districts based on comprehensive electricity customer data from 2019 to 2023, aiming to uncover distinct patterns of energy consumption. The primary novelty of this research lies in (1) its granular application of cluster analysis to sub-district-level electricity customer data for regional energy planning in Indonesia, a previously underexplored area, and (2) the implementation of the results into an intuitive, Streamlit-based interactive web application. This tool serves as a powerful decision-making dashboard for stakeholders, enabling dynamic data exploration and geographical visualization. The methodology encompasses meticulous data collection from official sources, rigorous pre-processing involving data normalization, determining the optimal number of clusters using the well-established Elbow Method, and validating cluster quality with the robust Silhouette Coefficient. The results definitively indicate that three clusters representing Low, Medium, and High energy consumption tiers are the most optimal segmentation. This is substantiated by a strong Silhouette score of 0.6911, which confirms a cohesive and well separated cluster structure. The practical implications are significant, providing a data-driven framework for prioritizing infrastructure investments, enhancing resource allocation efficiency, and supporting the formulation of more targeted energy policies. Ultimately, this study offers a replicable model for other regions facing similar challenges, fostering more sustainable development pathways
Optimization of a Web-Based Sweeping Order System Using Supply Chain Management Approach Aulia, Putri; Nugraha, Nugraha; Fergina, Anggun
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3657

Abstract

The order consolidation process, specifically "sweeping orders," is a critical yet often overlooked upstream activity in Supply Chain Management (SCM). At PT Flexo Solusi Indonesia, reliance on manual spreadsheet-based tools resulted in significant data fragmentation, entry errors, and processing delays, which severely hindered downstream logistics coordination and decision-making. This study aims to address this gap by designing and implementing a web-based sweeping order system integrated with SCM principles. Unlike typical inventory-focused systems, this research conceptually shifts the focus to "pre-processing" data synchronization to ensure early-stage supply chain integrity. The system development followed the Waterfall model, supported by a qualitative case study involving in-depth observation and interviews. To ensure research rigor, the system underwent comprehensive black-box testing and workflow validation, specifically evaluating indicators such as data accuracy, process traceability, and the elimination of redundant entry tasks. The results demonstrate that the centralized system successfully enforces sequential workflow validation, thereby mitigating data inconsistency risks and enhancing information flow between the warehouse, production, and shipping divisions. This study concludes that digitalizing upstream order consolidation is a prerequisite for achieving broader supply chain agility. It contributes to existing SCM literature by providing empirical evidence that operational efficiency is contingent upon the accuracy of initial data processing, serving as a scalable digital transformation blueprint for manufacturing SMEs.
Implementation of a Web-Based Customer Relationship Management System to Enhance Customer Loyalty Alfaraby, Feby; Alamsyah, Zaenal; Fergina, Anggun
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3676

Abstract

Customer Relationship Management (CRM) plays a critical role in sustaining customer relationships, particularly within SMEs in the retail sector that depend on repeat purchases. This study aims to examine how the IDIC (Identify, Differentiate, Interact, and Customize) framework can be operationalized under SME resource constraints through the design and evaluation of a web-based CRM system. Using empirical transaction records collected during an operational period, the study adopts a design-oriented empirical approach combining system development with IDIC-based analytical evaluation. The primary research contribution lies in the conceptual operationalization of the IDIC framework into implementable CRM modules rather than in proposing a novel technical architecture. Customer identification is achieved through centralized customer records, while differentiation relies on transaction frequency as a pragmatic behavioral indicator of repeat purchasing. Interaction is facilitated through automated reminder notifications, and customization is intentionally bounded to personalized reminders derived from transaction histories. System effectiveness is evaluated through a usability assessment involving 21 SME users, employing a five-point Likert-scale instrument that reports positive perceptions across usability dimensions, with mean scores exceeding 3.7. These findings indicate that limited CRM functionalities, when structured through a clear analytical model, can effectively enhance relationship-oriented practices. The abstract explicitly situates the study within a single-SME deployment context, clarifying its practical scope and limitations. Overall, the study demonstrates that an analytically grounded, resource-conscious CRM implementation can provide actionable insights for SMEs seeking to strengthen customer engagement and retention without adopting complex or costly CRM solutions.
Co-Authors Aan Setiawati Adang Badru Jaman adang badrujaman Adhitia Erfina Adil Berliana Aprilia Haryadi Ahmad Dinar Alamsyah, Zaenal Alex Alfaraby, Feby Alfariji, Salman Alpariji, Salman Alun Sujjada Alun Sujjada Alun Sujjada Alya Nurhalisah Alyanissa Putri Iskandar Amalia, Eneng Elsa Amalia, Phina Putri Andhika Oktasandira Ani Nuraeni Any Elvia Jakfar Ardelia Ramadhani Ariyanti, Gisni Armelia Isabela Taek Arnold Herman Sama Aulia Kusuma Wardani Aulia, Putri Awalansyah, Campaka Sepul Awaludin, Rifa Ayulianti, Radita Bahadir Ozsut Berniman Gofindo Malau Bunga Mutiara Sagita Nabila Dafa Afdal D Dava Febrian Dede Serlina Dede Sukmawan Deni Mahdiana DENI SETIAWAN Deshinta Arovva Dewi Deudeu Sri Rahayu Dhea Adela Dhea Ayu Septiani Dhita Diana Dewi Dian Permata Sari Diana Effendi Dimas Arya Pamungkas Dini Aryani Dini Oktarina Dwi Handayani Dwi Sartika Simatupang Edwinanto Estiko Rijanto Fadilah, Fadhlan Subhan Fadillah Alviqih Fakhriyal Riyandi Yasin falentino sembiring Faris Danendra Fatur Rahman Gandi Fauzan, M. Azmi Fikry Ardiansyah Efendi Firdaos, Helfi Apriliyandi Fitri Febrianti Fitria Nurulaeni Fitria Nurulaeni Gina Purnama Insany Gina Purnama Insany Gina Purnama Insany Gisni Ariyanti Gisni Ariyanti Handraputri, Chelika Patricia Hanifah, Endah Hendrawan, Yoga Herisma, Dera Destri Hermanto Hermanto Hermanto, H Huang, Maximillian Ian Mulyana Ikhsan, Sultan Alif Nur Ilham Nurabduljabbar Komara Imam Sanjaya Indra Yustiana Indra Yustiana Indra Yustiana Insany, Gina Purnama Irawan Afrianto Irfan Dwiguna Sumitra Irpanudin Iskandar, Alyanissa Putri IVANA LUCIA KHARISMA Iwan Setaiawan Jaelani, Muhammad Fakhraj Jaman, Adang Badru Jelita Asian Junmulyana, Satria Kamdan Kharisma, Ivana Lucia Larasati, Indah Lisa Al Jamil Lucia Kharisma, Ivana Lusiana Sani Parwati M Azri Riyandi M Rifki Nurul R A M. Raiga Agusti Rustandi M. Sarhan Akasah M.kom, Alun Sujada Malik, Julhan Abdul Maulana Yusuf Maulana, Yosep Maulina, Siti Farda Mayang Selpiyana Mega Putri Utami Meutia Riany Miya Kurnia Moh. Abd. Aziz Hidayat Moh. Iqbal Maulana Muhamad Iqbal Ramadhan Muhammad Andi Solihin Muhammad Azmi Habibi Muhammad Ezra Haikal Muhammad Ikhsan Thohir Muhammad Ilham Juardi Muhammad Rofiiq Multiaha, M. Reza Mupaat Muslih, Muhamad Mutiara Permata Sari Nieka Julyana Nirmala Neva, Talitha Nisa Nurushalihah Nugraha Nugraha Nugraha Nugraha Nugraha Nugroho, Muhammad Daffadillah Nur Hidayah K Fadhilah Nuralam, Fraza Nurcahya Sumirat, Hana Obi Ramdhani Pamungkas, Muhammad Teguh Panji Pratama Panji Pratama Pebrian, Riko Prihatini Prihatini, Prihatini Putri Anugrah S Putri Ayu Negara Putri Iskandar, Alyanissa Putri Syarifudin, Rayhanna Adisthi R, Rini Melani Rahmat Hidayat Raka Adriel Maheza Ramdhani, Mohammad Fajril Reka Reni Nur Anggraeni Renjani, Amelinda Reza Rama Putra Ridwan, Rafli Adnan rifa awaludin Rizaldi, Fazrin Muhammad Rizki Maulana Rizki Maulana, Rizki Ruri Mutiara Ayuni S, Somantri Sagita Widya Sahira, Sarah Sally Agustin Elisya Salma Addiyanati Tsaqila Salman Alhidamkara Santi Rahmawati Satyawati Yuliani Sehan Zaki Nurmilad Seno Prasetyo Septiani, Dhea Ayu Setia, Moch Ichwan Silmy Ni’matul Kamila Siti Sarah Sobariah Lestari Somantri Somantri Somantri, S Somantri, Somantri Sri Nurhayati Sumitra, Irfan Dwiguna Tampubolon, Nico Jaya Taufik Hidayat Tofik Hidayat Tubagus Dzikril Umar Aditiawarman Wibowo, Muhammad Hendryo Yasa, Aditama Yulva Cintakandida Yusup Solehudin Yusup, Angga Maulana zahra, Nurazizah Zaman, Syamsul Zulfikar, Mohamad