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Decision Support System Best Rider Si Penghubung Harapan (SPH) at Mini Station Tambaksari Ninja Express Surabaya Umar, Muhammad Daffa; Junaedi, Lukman
Journal of Science Technology (JoSTec) Vol. 7 No. 1 (2025): Journal of Science Technology (JoSTec)
Publisher : PT Inovasi Pratama Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55299/jostec.v7i1.1470

Abstract

In the era of the industrial revolution 4.0, shipping services or expeditions have grown rapidly due to the increasing needs of people in online shopping. Ninja Express has facilitated several online stores or e-commerce and has many branches throughout Indonesia, one of which is the Tambaksari mini station. The Tambaksari mini station has several couriers who are tasked with delivering goods or what are called SPH riders (Si Penghubung Harapan). Every month there is a determination of the best SPH rider from each region based on the calculation of the performance of all SPH riders. The creation of this best rider SPH decision support system can facilitate the determination of the best SPH rider which was previously done manually. With the EXPROM II method, the system can compare several alternatives based on several established assessment criteria. The final calculation result is in the form of an alternative difference so that it can produce a ranking output based on the highest flow value. The implementation of this method is applied in web format using the PHP and MySQL programming languages.
Peningkatan Visibilitas Digital melalui Implementasi Search Engine Optimization (SEO) di PT. Olean Permata Telematika Achmad Zakki Falani; I Putu Artaya; Latipah; Lukman Junaedi
Asthadarma : Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 1 (2026): Maret
Publisher : Universitas Merdeka Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55173/asthadarma.v7i1.72

Abstract

Digital transformation has encouraged Internet Service Provider (ISP) companies to optimize digital media as a strategic tool for marketing and customer communication. One of the major challenges faced is the low visibility of company websites on search engines, which limits public access to information regarding services offered. This activity aims to enhance the digital visibility of PT Olean Permata Telematika through the implementation of Search Engine Optimization (SEO) strategies. The methods employed include an initial website analysis, technical and content optimization, as well as training and mentoring for company personnel on sustainable SEO practices. The results indicate an improvement in website visibility on search engine results and an increased level of understanding among the partner regarding SEO implementation. This activity is expected to strengthen the company’s digital marketing strategy and improve its competitiveness in the ISP industry.
Exploring the Time-efficient Evolutionary-based Feature Selection Algorithms for Speech Data under Stressful Work Condition Adi, Derry Pramono; Junaedi, Lukman; Frismanda; Gumelar, Agustinus Bimo; Kristanto, Andreas Agung
EMITTER International Journal of Engineering Technology Vol 9 No 1 (2021)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24003/emitter.v9i1.571

Abstract

Initially, the goal of Machine Learning (ML) advancements is faster computation time and lower computation resources, while the curse of dimensionality burdens both computation time and resource. This paper describes the benefits of the Feature Selection Algorithms (FSA) for speech data under workload stress. FSA contributes to reducing both data dimension and computation time and simultaneously retains the speech information. We chose to use the robust Evolutionary Algorithm, Harmony Search, Principal Component Analysis, Genetic Algorithm, Particle Swarm Optimization, Ant Colony Optimization, and Bee Colony Optimization, which are then to be evaluated using the hierarchical machine learning models. These FSAs are explored with the conversational workload stress data of a Customer Service hotline, which has daily complaints that trigger stress in speaking. Furthermore, we employed precisely 223 acoustic-based features. Using Random Forest, our evaluation result showed computation time had improved 3.6 faster than the original 223 features employed. Evaluation using Support Vector Machine beat the record with 0.001 seconds of computation time.
Rider Payroll Information System at Mini Station Ninja Xpress Sidoarjo Rizal, Arif Muhammad; Junaedi, Lukman
Journal of Science Technology (JoSTec) Vol. 8 No. 1 (2026): Journal of Science Technology (JoSTec)
Publisher : PT Inovasi Pratama Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55299/jostec.v8i1.1849

Abstract

Information system products are needed in the current era of technological development. The existence of an information system can replace manual calculation systems that have been used for many years, one example being the payroll information system. Although payroll systems have been implemented in several large companies in Indonesia, PT. Andiarta Muzizat (Ninja Xpress), which operates in package delivery services, has not fully implemented a payroll information system, especially for riders (couriers). Therefore, this study aims to develop a payroll information system that can calculate rider salaries quickly and in detail. The system is designed to minimize discrepancies in salary calculations and provide transparent payroll information. This research was conducted at Mini Station Ninja Xpress Sidoarjo. The system development uses the Extreme Programming (XP) method, which includes planning, design, coding, and testing stages. The result of this research is a web-based payroll information system built using PHP and MySQL that is capable of calculating rider income, including gross salary, bonuses, and net salary received each month. The implementation of this system is expected to improve accuracy, efficiency, and transparency in payroll processes and reduce disputes related to salary discrepancies among riders.