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p-Index From 2021 - 2026
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All Journal Jurnal Teknologi dan Manajemen Industri Terapan Journal of Applied Science, Technology & Humanities
Jonser Steven Rajali Manik
IPB University
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Social Sciences

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Pengembangan Website Nyuci sebagai Sistem Layanan Laundry Responsif Menggunakan Metode Scrum Nur Indah Chasanah; Jonser Steven Rajali Manik; Rajhaga Jevanya Meliala; Thoriq Muhammad Pasya; Aditya Wicaksono; Gema Parasti Mindara
Jurnal Teknologi dan Manajemen Industri Terapan Vol. 1 No. 2 (2022): Jurnal Teknologi dan Manajemen Industri Terapan
Publisher : Yayasan Inovasi Kemajuan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55826/jtmit.v4i2.668

Abstract

Transformasi digital dalam industri jasa, termasuk sektor laundry, menjadi kebutuhan yang mendesak seiring meningkatnya tuntutan masyarakat urban terhadap layanan yang cepat, transparan, dan efisien. Banyak usaha laundry di Indonesia masih menggunakan sistem manual, yang sering menimbulkan berbagai permasalahan seperti kesalahan pencatatan, keterlambatan informasi status pesanan, dan ketidakefisienan dalam pengelolaan operasional. Untuk menjawab permasalahan tersebut, penelitian ini bertujuan untuk merancang dan mengembangkan website layanan laundry bernama Nyuci yang responsif dan dapat memenuhi kebutuhan tiga jenis pengguna, yaitu pelanggan, mitra laundry, dan admin. Pengembangan sistem menggunakan metode Scrum, salah satu kerangka kerja Agile yang mendukung kolaborasi tim secara iteratif dan fleksibel melalui tahapan sprint planning, daily scrum, sprint review, dan sprint retrospective. Data dikumpulkan melalui observasi, studi literatur, studi kompetitor, serta analisis logika sistem. Hasil analisis menghasilkan product backlog, use case diagram, entity-relationship diagram (ERD), class diagram, dan mockup antarmuka pengguna. Sistem ini dilengkapi dengan fitur-fitur utama seperti pelacakan status pesanan, rekomendasi layanan, dashboard analisis, dan sistem verifikasi mitra. Pengujian dengan platform Maze menunjukkan tingkat keberhasilan task sebesar 92,8% dengan waktu penyelesaian yang cepat. Website Nyuci tidak hanya mempermudah pelanggan dalam memantau pesanan, tetapi juga meningkatkan efisiensi kerja mitra serta menyediakan alat manajemen yang komprehensif bagi admin.
Developing an Arduino Uno-Based Water Clarity Assessment Instrument at LIPI-Biotechnology Euis Suryati; Rahmat Ramadhan; Siti Farah Fakhirah; Asa Yuaziva; Jonser Steven Rajali Manik; Icha Maulidya
Journal of Applied Science, Technology & Humanities | JASTH Vol. 3 No. 1 (2026): January 2026
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/sw45r435

Abstract

Visual monitoring of water clarity in closed laboratory reservoirs poses significant challenges and inefficiencies that may compromise equipment sterilization standards. This study aims to develop an automated water clarity monitoring system at the Research Center for Biotechnology-LIPI utilizing an Arduino Uno microcontroller paired with a BH1750 digital light sensor. The device operates on the principle of light transmission, where suspended particles in turbid water obstruct the light intensity detected by the sensor. Data is processed and transmitted via an Ethernet Shield to a web-based interface for both real-time monitoring and database logging. The research results demonstrate that the device successfully classifies water clarity levels based on light intensity readings, defining clear water as >200 Lux, moderate water as 150-200 Lux, and turbid water as <150 Lux. By providing real-time status updates and automated historical data logs, the system eliminates the need for manual physical inspection. This instrument presents a functional and cost-effective solution to ensure adherence to laboratory water quality standards.
Digitalization of Forestry Museum Visiting Services Through the Implementation of a Reservation and Scheduling Platform Jonser Steven Rajali Manik; Asa Yuaziva; Icha Maulidya; Siti Farah Fakhirah; Ridwan Siskandar
Journal of Applied Science, Technology & Humanities | JASTH Vol. 3 No. 3 (2026): June 2026
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/h1seca22

Abstract

This research is motivated by the Forestry Museum’s manual reservation process, resulting in irregular schedules and difficulties in managing visitor data. This research aims to build a digital reservation and scheduling platform from scratch using the Prototyping method supported by the Laravel, AJAX, and MySQL frameworks. Functional testing used the Black-Box Testing method, while user experience testing used the System Usability Scale (SUS). The Black Box Testing results showed a 100% success rate. The usability evaluation resulted in an average SUS score of 84.5 placing the system in the Acceptable category. Performance testing resulted in an average visitor form submission time of 0.34 seconds and admin decision execution time of 6.95 seconds, proving the system is capable of processing every data transaction instantly from a technical perspective, thus supporting the smooth flow of overall reservation confirmation. The systems meets the museum’s needs and is easy to use.
Implementation of a Performance Metrics-Based Dashboard Summary Feature on the One Direction Website for Sales Monitoring Siti Farah Fakhirah; Icha Maulidya; Asa Yuaziva; Jonser Steven Rajali Manik
Journal of Applied Science, Technology & Humanities Vol. 3 No. 4 (2026): September 2026
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/2a057970

Abstract

Tactical decision-making in the telecommunications industry requires fast and centralized access to sales performance data. However, performance metrics on the internal corporate website used by PT XYZ are currently distributed across separate modules, leading to repetitive navigation and risks of data inconsistency from manual compilation. This study aims to design and implement a Dashboard Summary feature as a centralized monitoring interface for the Eastern Jabotabek regional division. The system was developed using the Prototyping method, utilizing Laravel as the backend framework and Tailwind CSS for the responsive frontend. The feature integrates three key performance metrics, namely Revenue, Broadband Pack (BBPACK), and Market Share, alongside a Managerial Notes module for the structured documentation of managerial action plans. System validation was carried out through Black Box Testing across 43 test scenarios and direct SQL query comparisons, both of which yielded a 100% success rate. User Acceptance Testing (UAT) involving ten purposively selected respondents produced an overall acceptance score of 95.94%, categorized as Very Feasible. These results indicate that the developed Dashboard Summary feature effectively consolidates fragmented performance data into a single, reliable interface, thereby supporting faster and more consistent operational decision-making.
Implementation of a Sales-Driving Factors Feature Based on Sales Data (5S) on the OneDirection Monitoring Website Asa Yuaziva; Jonser Steven Rajali Manik; Siti Farah Fakhirah; Icha Maulidya
Journal of Applied Science, Technology & Humanities Vol. 3 No. 4 (2026): September 2026
Publisher : Batrisya Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62535/r9mhyh34

Abstract

The Monitoring Onedirection website at PT XYZ does not yet provide a sales data analysis feature based on the 5S components, namely Sales Out (SO), Sales Acquisition (SA), Sales Through (ST), Sales Renewal (SR), and SBP DD Warehouse Stock (SD). As a result, employees still calculate business performance indicators manually using Microsoft Excel, which is prone to errors and inefficient. This study aims to develop a 5S-based Sales Driver feature for the Monitoring Onedirection website at PT XYZ and evaluate its level of user acceptance. The research employs the Rapid Application Development (RAD) method using the Laravel framework. The developed feature consists of six main pages equipped with daily trend charts, four-level hierarchical regional tables, and automatic calculations of Month to Date (MTD), Month over Month (MoM), Year over Year (YoY), and Delta MoM metrics. The Black Box Testing results showed a 100% success rate across 68 test scenarios, while User Acceptance Testing (UAT) involving eight respondents achieved an average score of 92.73%, categorized as Highly Feasible. Therefore, the Sales Driver feature was successfully implemented and proven effective in supporting data-driven monitoring and analysis of sales performance.
Co-Authors Aditya Wicaksono Asa Yuaziva Euis Suryati Gema Parasti Mindara Icha Maulidya Nur Indah Chasanah Rahmat Ramadhan Rajhaga Jevanya Meliala Ridwan Siskandar Siti Farah Fakhirah Thoriq Muhammad Pasya