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Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Published by Asosiasi Riset Teknik Elektro Dan Informatika Indonesia
ISSN : 30318904     EISSN : 30318912     DOI : 10.61132
Core Subject : Science,
Computer Science & IT
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika memuat naskah hasil-hasil penelitian di bidang Sistem Informasi dan Teknik Informatika
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 297 Documents
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Analisis Proses Bisnis La Puerto Coffee & Eatery Purwokerto Menggunakan Metode SWOT dan Value Chain Nada Salsabila Khansa; Ocha Dwi Palusi; Riani Efna Sari; Veliana Dian Maryasari; Ito Setiawan
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 4 No. 1 (2026): Januari : Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v4i1.1347

Abstract

The rapid growth of the culinary industry in Purwokerto has led to the emergence of numerous coffee shops with unique and competitive concepts. La Puerto Coffee & Eatery stands out as one of the leading businesses by implementing a green building concept and modern industrial design. This study aims to analyze the business processes of La Puerto using the SWOT and Value Chain methods to identify its strategic position and sustainable development opportunities. The research adopts a descriptive qualitative approach through direct observation, interviews with management and customers, and literature review. The results show that La Puerto’s main strengths lie in its eco-friendly concept, strategic location, and high-quality service, while its weaknesses include limited digitalization and underdeveloped marketing strategies. The Value Chain analysis reveals that most primary activities are effective; however, digital integration needs improvement to enhance efficiency and value creation. Overall, the combination of SWOT and Value Chain analyses provides a comprehensive understanding of business potential, suggesting that digital transformation, service innovation, and community-based marketing are key strategies for sustaining La Puerto Coffee & Eatery’s competitiveness in the dynamic culinary industry.
Perbandingan Algoritma Backpropagation dan SARIMA dalam Memprediksi Kebutuhan Nasi untuk Penjualan: Studi Kasus: Restoran Grillme Pontianak Muhammad Khoir Nugraha
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 4 No. 1 (2026): Januari : Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v4i1.1348

Abstract

This study aims to design, implement, and compare the performance of the Backpropagation algorithm from Artificial Neural Networks and the Seasonal Autoregressive Integrated Moving Average (SARIMA) model in predicting the optimal daily rice requirement at Grillme Restaurant in Pontianak. The main problem faced by the restaurant is the uncertainty in determining the required daily rice stock, which periodically results in either understocking (shortage) or overstocking (wastage), leading to operational losses. To address this, the study utilizes historical daily rice sales data from January 2023 to April 2025 as the database for training and testing both predictive models. The SARIMA approach is employed to capture time series components (trend and seasonality), while Backpropagation is utilized to model non-linear patterns. Comparative test results indicate that the SARIMA model achieved superior accuracy compared to the Backpropagation model. This is confirmed by the Mean Absolute Percentage Error (MAPE) value of the SARIMA algorithm being 17.35%, which is lower than the MAPE value of Backpropagation at 19.62%. The MAPE values obtained by both models demonstrate good predictive capability, but it is concluded that SARIMA is more recommended for a more efficient and planned management of rice stock at Grillme Restaurant in Pontianak.
Analisis Persebaran Kasus Diare dan Tuberkulosis di Kabupaten Rembang Berbasis Sistem Informasi Geografis (SIG) Tahun 2023-2024 Naila Amelia Shahada; Bambang Agus Herlambang; Ahmad Khoirul Anam
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 4 No. 1 (2026): Januari : Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v4i1.1356

Abstract

Diarrhea and Tuberculosis (TB) remain significant public health problems in Indonesia, including Rembang Regency. This study aims to analyze the spatial distribution and temporal changes of Diarrhea and TB cases in Rembang Regency during 2023–2024 using a Geographic Information Sistem (GIS) approach. A descriptive-analytic method was applied using secondary data, including administrative boundary shapefiles, disease case data, and health facility data at the sub-district level. Spatial processing and analysis were conducted using QGIS to produce thematic maps and compare disease distribution patterns between years. The results indicate that Diarrhea and TB cases were unevenly distributed across sub-districts and formed distinct spatial patterns. Case changes between 2023 and 2024 varied spatially, reflecting dynamic disease trends. The integration of disease maps with health facility distribution shows that areas with high case numbers were not always supported by adequate health facilities. The implementation of GIS-based maps into a web platform enhances accessibility and supports spatial-based public health decision-making.
Penerapan Sistem Informasi Geografis dalam Penentuan Jarak Zonasi Sekolah Menengah Pertama (SMP) dalam PPDB Melalui Jalur Zonasi/Domisili (Studi Kasus: Kota Semarang) Aurellia Callista Dewi; Bambang Agus Herlambang; Ahmad Khoirul Anam
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 4 No. 1 (2026): Januari : Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v4i1.1359

Abstract

The implementation of the zoning-based admission policy (PPDB) in Semarang City continues to face challenges related to the accuracy of distance measurement and the transparency of information provided to the public. This study aims to examine the application of Geographic Information Systems (GIS) in defining zoning boundaries for public junior high schools in Semarang City and integrating the results into a web-based information platform. A quantitative descriptive approach was employed, incorporating spatial analysis through a 3-kilometer buffer radius using QGIS software. The results indicate that buffer analysis is effective in delineating priority domicile zones based on school coordinate data. These findings are integrated into a GIS-based website that presents visual information on school locations, enrollment capacity, and final score calculation mechanisms in accordance with current regulations. The proposed system contributes to improving information transparency, enabling the public to better understand admission opportunities while supporting government decision-making in promoting equitable access to education. For future development, the use of road network analysis is recommended to obtain more realistic distance estimations.
Analisis Perubahan Luas Lahan dan Produksi Bawang Merah Menggunakan Sistem Informasi Geografis di Kabupaten Brebes Tahun 2023-2024 Nida Hanifah; Bambang Agus Herlambang; Ahmad Khoirul Anam
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 4 No. 1 (2026): Januari : Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v4i1.1360

Abstract

Brebes Regency is one of the main national centers of shallot production in Indonesia, where agricultural land dynamics play a crucial role in sustaining production performance. Rapid infrastructure development and land-use change have raised concerns regarding the sustainability of shallot cultivation areas. This study aims to analyze spatial–temporal changes in shallot cultivated area and production in Brebes Regency during 2023–2024 and to examine the relationship between land area changes and production levels at the sub-district scale. A descriptive quantitative approach based on spatial analysis was employed using Geographic Information Systems (GIS). Spatial data consisted of administrative boundary maps, while non-spatial data included shallot cultivated area and production data obtained from the Brebes Regency Office of Agriculture and Food Security. Data integration and analysis were conducted using QGIS through attribute joining and inter-annual comparison. The results indicate that total shallot cultivated area increased from 26,331 ha in 2023 to 28,628 ha in 2024, accompanied by a significant rise in production from 289,942.05 tons to 409,106.90 tons. Spatial analysis reveals that major production centers remain concentrated in the central and northern sub-districts, particularly Wanasari, Larangan, Bulakamba, and Tanjung. Although a positive relationship between land expansion and production increase is evident, variations among sub-districts suggest that productivity and local conditions also play important roles. The findings highlight the effectiveness of GIS-based analysis in supporting spatially informed agricultural land management and policy formulation.
Analisis Perbandingan Algoritma Regresi Linear dan Decision Tree untuk Prediksi Dropout Mahasiswa Abdah Syakiroh Gustian; Asep Saeppani
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 4 No. 1 (2026): Januari : Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v4i1.1362

Abstract

This study aims to develop an effective predictive model for identifying students at risk of academic dropout using the Decision Tree and Linear Regression algorithms. The data used are sourced from the public Kaggle dataset Students Dropout and Academic Success, which includes demographic, socioeconomic, and academic performance variables for each semester. The research method includes data preprocessing stages, such as data cleaning, label encoding for categorical variables, numeric feature normalization, and target class adjustment to focus on binary classification, namely Dropout and Graduate. The modeling process is carried out by comparing the performance of the two algorithms using evaluation metrics of accuracy, precision, and recall. The results show that the Decision Tree algorithm has superior performance compared to Linear Regression in mapping non-linear patterns in student data. Feature importance analysis revealed that the number of curricular units in the second semester and tuition payment status are the main predictors of dropout risk. These findings are expected to assist educational institutions in implementing early interventions to improve student academic success.  
Perancangan Aplikasi Simulasi Kredit Mobil Mazda Berbasis Mobile Menggunakan Metode Human-Centered Design Miftaqudin Miftaqudin; Fikri Al Azmi Pohan; Matthew Felix Hutabarat
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 4 No. 1 (2026): Januari : Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v4i1.1376

Abstract

The automotive industry requires fast and accurate sales services, particularly in vehicle credit simulation processes. At Mazda dealerships, credit simulations are still commonly conducted using conventional tools such as printed installment tables or static PDF documents, which often cause delays and calculation errors. This study aims to design and develop a mobile-based vehicle credit simulation application using the Human-Centered Design (HCD) approach and the Flutter framework. The HCD method was implemented through the inspiration, ideation, and implementation stages to ensure that the application meets the real needs of Mazda sales representatives. The application supports flexible credit calculations based on vehicle on-the-road price, down payment, loan tenor, interest rate, and insurance schemes, including All Risk and combination insurance. Usability testing results show that the proposed application significantly improves calculation speed, accuracy, and overall user experience compared to conventional methods. Therefore, the application effectively supports sales performance, minimizes human error, and enhances professionalism in automotive sales services.
Analisis Infrastruktur TI Lapak Aduan Banyumas Diskominfo Kabupaten Banyumas Menggunakan SWOT dan Value Chain untuk Evaluasi Layanan Publik Nesa Nur Puspitasari; Nur holifah, Anggita; Retno Setioningrum; Putri Nazilatus Safa’at; Ito Setiawan
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 4 No. 1 (2026): Januari : Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v4i1.1377

Abstract

This study aims to explore the condition of information technology infrastructure and to evaluate the extent to which the Lapak Aduan Banyumas service, managed by the Department of Communication and Informatics of Banyumas Regency, operates effectively. The study employs SWOT and Value Chain analysis approaches. A qualitative descriptive method is applied, with data collected through interviews and documentation involving officers responsible for managing the service. The results indicate that Lapak Aduan Banyumas has been operating optimally as a digital-based, transparent, and effective public complaint channel. Its main strengths lie in the ease of access through multiple service channels and the availability of features that enable real-time complaint status tracking. However, several challenges remain, including a limited number of human resources, less optimal collaboration among regional government organizations (OPDs), and network infrastructure constraints in several areas. The Value Chain analysis reveals that the complaint follow-up process and the dissemination of handling outcomes to the public represent the stages that generate the greatest added value in the service process. Therefore, this study suggests strengthening the complaint status monitoring system, enhancing inter-platform service integration, and utilizing artificial intelligence technologies to improve the complaint handling process. The findings of this study are expected to serve as a strategic basis for improving the quality of digital public services in Banyumas Regency.
Analisis Strategi Sistem Informasi Menggunakan Framework Ward & Peppard pada PT Telering Distrindo Aditya Pratama Putra; Ardani Eka Putra; Muhamad Albaihaqi Naufal Andewa; Feri Widiyanto; Ito Setiawan
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 4 No. 1 (2026): Januari : Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v4i1.1378

Abstract

PT Telering Distrindo is a telecommunications distribution and retail company whose operations rely heavily on information systems. As the business expands and transaction volumes increase, higher demands for system security and reliability require a strategic evaluation of information technology (IT) implementation to ensure alignment with business objectives. This study aims to analyze the condition of the IT infrastructure at PT Telering Distrindo and to formulate development strategies using the Ward & Peppard framework. The research methods include literature review, system observation, IT architecture analysis, and interviews with internal stakeholders. The results show that the company has implemented core systems such as aPOSPlus, aBusinessPlus, and the PPOB TR Reload application, which play an important role in supporting business operations. However, several weaknesses remain in system security, integration, and IT risk management. The SWOT analysis identifies strengths in access control and authentication mechanisms, opportunities to leverage security as a competitive advantage, and threats from cyberattacks and high dependency on IT infrastructure. The study concludes that the Ward & Peppard framework provides a comprehensive strategic perspective and serves as a foundation for developing a more structured, secure, and sustainable IT strategy to support business growth.
Klasifikasi Kelayakan Gaji Guru Menggunakan Algoritma Decission Tree: Studi Kasus SMA YPKPP Неndі Suhеndі; Femmy Novica Ramadanis
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 4 No. 1 (2026): Januari : Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v4i1.1415

Abstract

Thіs studу aіmеd to examіnе the eligibilitу оf tеасhеr honorаrium bу іmрlemеntіng a classifiсatіon method usіng thе Decіsіon Тree algorithm. Тhе primary іssuе addressеd in thіs rеsеаrсh is the absеnce of а fair and dаtа-driven salarу sуstеm аt SМA YPKPР. А сlаssificatіon aрproach was emрloуеd to сatеgorіze teасhers intо "Elіgіble" and "Not Elіgiblе" grоuрs basеd оn attributеs such аs tеachіng hоurs, hourly wаge, eduсatiоn lеvel, jоb роsіtіon, сеrtіfіcаtіоn allowаnсe, аnd schoоl status.Thе сlаssifiсatіon model was dеveloрed usіng RаріdМiner sоftwаrе. Тhе datasеt was dіvidеd into trainіng and tеsting sets usіng a sрlіt datа technique. Тhe modеl wаs еvaluatеd usіng metrісs such as acсuraсy, рrecisіоn, rеcall, and сonfusiоn matrіх. The rеsults indіcаtеd that thе Dесіsiоn Тree model аchіеved аn асcurасy оf 93.75% in сlаssіfуing tеаchеr honorarium еligіbіlity. Тeасhing hours and hourlу wаge werе idеntifіеd as thе twо most іnfluеntial variables іn the сlаssіfісаtіоn рroсеss.Аs a form of vаlіdatіоn, addіtionаl statistіcal аnalysis was соnducted usіng SРSS. The Рeаrsоn cоrrelаtіon tеst showеd а sіgnіficаnt relаtionshір bеtween teaching hours and hourlу wаge wіth thе tоtаl honоrаrіum rеcеivеd. Мultіplе .Lineаr rеgressiоn аnalysis resulted іn аn R Squаre valuе of 0.860, indicаting that 86% оf thе varіation in hоnorarium сan be eхрlаіnеd bу thе twо vаrіаblеs.Тhis study іs expесtеd tо serve аs а foundаtіоn for mоre objеctive аnd dаtа-drіven dеcisіоn-mаking іn thе tеaсhеr comреnsation sуstem. Тhe findіngs dеmоnstrаte thаt а combinаtiоn of datа minіng аnd stаtіstісаl аnаlуsis aрprоаches сan bе usеd to devеlop a trаnsparent, fair, аnd efficient sаlаrу system.

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