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Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Published by Universitas Indraprasta PGRI
ISSN : -     EISSN : 27158756     DOI : https://doi.org/10.30998/jrami.v7i01
Core Subject :
JRAMI merupakan media publikasi online khusus bagi mahasiswa/i baik didalam Program Studi Informatika, Fakultas Teknik dan Ilmu Komputer, Universitas Indraprasta PGRI ataupun luar institusi. Setiap mahasiswa/i yang memiliki hasil riset dari PKM (Program Kreatifitas Mahasiswa) dan atau Tugas Akhir dapat mempublikasinya dalam bentuk artikel ilmiah sehingga kontribusi dari hasil penelitian mahasiswa dapat disebarluaskan dan dimanfaatkan oleh masyarakat luas. JRAMI sejak 2020 diterbitkan sebanyak 4 kali dalam setahun yang dikelola oleh Program Studi Informatika, Fakultas Teknik dan Ilmu Komputer, Universitas Indraprasta PGRI. Fokus dan Area Jurnal: Sistem Informasi, Rekayasa Perangkat Lunak, Sistem Berbasis Pengetahuan, Sistem Pakar, E-Commerce, dan Sistem Pengambilan Keputusan.
Arjuna Subject : -
Articles 68 Documents
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Penerapan Rule-Based Classifier untuk Menentukan SLA Rate Pada PT Nettocyber Indonesia Ahmad Juve Perdana; Nofita Rismawati; Norma Pravitasari
Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Vol. 7 No. 02 (2026): Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Publisher : Program Studi Teknik Informatika, FTIK, Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jrami.v7i02.941

Abstract

Internet service providers are required to maintain service quality and reliability in order to enhance customer satisfaction and corporate value. One key indicator in service evaluation is the Service Level Agreement, which is calculated based on incident ticket data. However, at PT. Nettocyber Indonesia, the process of recording tickets and calculating SLAs is still done manually, which has the potential to cause errors, data inconsistencies, and low work efficiency. This study aims to develop a structured desktop-based system for recording incident tickets that can automatically classify and calculate SLAs. The system is built using the Java programming language with a MySQL database and employs a rule-based classifier method to group tickets based on specific parameters such as incident type, customer priority, and service impact. The results of this study indicate that the developed system improves the accuracy of ticket recording and classification and accelerates the SLA calculation process compared to manual methods. Consequently, this system can help enhance work efficiency and quality of service evaluation at internet service providers
Sistem Informasi Monitoring dan Evaluasi Kegiatan Mengajar Guru Berbasis Web pada SD Negeri  23 Ugyehek Farida Nelce Indou; Sofyan Sofyan; Risma Petrus; Mardewi Mardewi
Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Vol. 7 No. 02 (2026): Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Publisher : Program Studi Teknik Informatika, FTIK, Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jrami.v7i02.943

Abstract

A Web-Based Information System for Monitoring and Evaluating Teaching Activities at Ugyehek State Elementary School 23. At Ugyehek State Elementary School 23, the process of monitoring teaching activities is still carried out conventionally, which often results in information bottlenecks, a lack of accuracy, and the complexity of teacher performance evaluations. The research conducted is useful for designing and developing technology and innovations that can be used to monitor teachers’ teaching activities efficiently, accurately, and in an integrated manner. The Waterfall method was selected for system development, comprising the planning, analysis, design, coding, and testing phases. This project was built using the PHP platform and a database for data management. Test results show that the system is capable of recording teachers’ schedules and teaching activity reports, displaying summary data, which can be accessed by the school principal and relevant parties. Through this application, monitoring of teaching activities can be effective, transparent, and well-documented.
Penentuan Jumlah Produksi pada CV Rairaka Konveksi Menggunakan Metode Fuzzy Tsukamoto Sindi Apriantika Sari; Abdurahman Abdurahman; EK Ajeng Rahmi Pinahayu
Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Vol. 7 No. 02 (2026): Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Publisher : Program Studi Teknik Informatika, FTIK, Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jrami.v7i02.958

Abstract

The CV Rairaka Konveksi system is currently still using a manual system. This causes the production quantity to be inaccurate due to demand uncertainty and fluctuations in raw material supply. There is a need for efforts to ensure that the production quantity can be calculated accurately. This research aims to design and build a decision support system to assist the CV Rairaka Konveksi in determining the optimal production quantity. The fuzzy Tsukamoto method is used because of its ability to handle uncertain data and provide output in crisp form. The research was conducted through stages of observation, interviews, system design, implementation, and testing. The system is designed with two input variables, namely demand and supply, and one output variable in the form of production quantity. The results of the testing by user application testing show that the system built is capable of providing accurate and efficient production quantity recommendations.
Sistem Pendukung Keputusan dalam Menentukan Kepuasan Masyarakat Terhadap Pelayanan di Kelurahan Kebon Pala dengan Metode TOPSIS Dimas Kurniawan; Rayung Wulan; Bondan Dwi Hatmoko
Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Vol. 7 No. 02 (2026): Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Publisher : Program Studi Teknik Informatika, FTIK, Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jrami.v7i02.1009

Abstract

Public satisfaction assessment of services is one of the important indicators in improving service quality in government institutions, especially at the sub-district level. However, the Kebon Pala sub-district still conducts the evaluation of public satisfaction conventionally and subjectively because it has not yet used a structured decision-making method. This research aims to build a decision support system to determine the level of community satisfaction with services in Kebon Pala Village using the Technique for Order of Preference by Similarity to Ideal Solution method. The TOPSIS method is used to process community satisfaction data based on several service criteria, namely service time, staff friendliness, availability of facilities, clarity of information, and certainty of time and procedures. Research data were obtained through observation, interviews, and the distribution of questionnaires to the community receiving the service. The research results indicate that the system developed is capable of generating preference values and ranking the level of public satisfaction objectively and measurably, thus helping the sub-district authorities in evaluating service quality and determining priorities for public service improvements
Implementasi Algoritma K-Means untuk Optimalisasi Stok Barang pada Toko Online Genta Sarana Teknik Muhammad Rizky Ramadhan; Fanisya Alva Mustika; Ari Irawan
Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Vol. 7 No. 03 (2026): Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Publisher : Program Studi Teknik Informatika, FTIK, Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jrami.v7i03.1035

Abstract

Inventory management at the Genta Sarana Teknik Online Store still relies on simple record-keeping and experience, resulting in frequent instances of sudden stockouts or inventory buildup. This study aims to optimize inventory control by clustering SKUs based on inventory turnover rates using the K-Means algorithm. The research data was derived from SKU master data and inventory transaction history managed in a Java-based desktop application. Each SKU was represented by three numerical features—average stock inflow, average stock outflow, and remaining stock—which were then normalized and processed with K=3 to generate high-, medium-, and low-priority clusters. The final results show that 198 active SKUs were successfully clustered into Cluster 0 (88 SKUs), Cluster 1 (71 SKUs), and Cluster 2 (39 SKUs) with final centroids of 0.102609, 0.284091, and 0.139312; 0.143482, 0.605634, and 0.048502; and 0.473412, 0.700855, and 0.049925. The app provides inventory management features, alternative purchase links for Shopee/Tokopedia, and the clustering process, as well as low-stock alerts and K-Means results. The application of K-Means helps determine restocking priorities in a more objective and structured manner, thereby improving inventory management efficiency
Analisis Strategi Penerimaan Peserta Didik Baru Menggunakan K-Means Clustering dengan Optimasi Elbow Abdul Hadi; Decky Ryansyah; Goenawan Brotosaputro
Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Vol. 7 No. 02 (2026): Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Publisher : Program Studi Teknik Informatika, FTIK, Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jrami.v7i02.1110

Abstract

New Student Admission is an annual routine activity at schools, including SMP Citra Negara Depok. Every year, the school receives a large amount of registration data, but it has not been optimally utilized to determine the new student admission strategy for the following year, resulting in a decrease in the number of applicants. This study aims to cluster effective new student admission strategies using the K-Means clustering method optimized with the Elbow method and min-max normalization. The dataset used is derived from the registration data for the 2021–2022 and 2022–2023 academic years, with attributes including school name, number of classes, number of registrants, and difference. The Elbow Method results indicate that the optimal number of clusters is three. The K-Means process stops at the 7th iteration out of a maximum of 10 iterations. The clustering results in three strategies: a 55% discount during the October–December period, a brochure distribution strategy, and a 50% discount during the January–June period. The research findings indicate that the K-Means method optimized with the Elbow Method can help determine a more effective new student admission strategy for the school.
Implementasi dan Pengujian Performa Server High Availability Menggunakan Metode Horizontal Scaling dengan Studi Kasus: Marketplace XYZ Achmad Nur Fauzy; Muhammad Anis Al Hilmi; Ilman Kadori
Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Vol. 7 No. 02 (2026): Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Publisher : Program Studi Teknik Informatika, FTIK, Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jrami.v7i02.1138

Abstract

Online marketplaces have become popular among the Indonesian public lately. This trend has an impact on the increasing visitor traffic, making the server's performance in handling requests heavier. Another impact that arises is the decline in web server performance accompanied by lag or network disruptions that cause web page responses to become slow. This issue can be addressed using load balancing, which is a method that distributes traffic across multiple servers to prevent load accumulation on a single server. Testing 10,000 requests with Apache Bench resulted in a response time of 7.725 ms for a server cluster (3 servers) using the round-robin algorithm. In comparison, the least connection algorithm produced a response time of 7.496 ms, while a single server resulted in 119.656 ms. In a stress test using JMeter with 10,000 requests, the server cluster produced a response time of 60 ms, while a single server resulted in 39.418 ms. In the failover implementation, load balancing works well in distributing requests to the available servers, ensuring that even during high traffic or server failures, the system maintains optimal performance and minimizes response times. Failover is the process of redirecting requests from a dead/broken server to another active server.
Implementasi Sistem Informasi Posyandu pada Kampung Sairo Distrik Manokwari Utara Marlina Lomonggo; Risma petrus; Mardewi Mardewi; Yuliana Sangka
Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Vol. 7 No. 03 (2026): Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Publisher : Program Studi Teknik Informatika, FTIK, Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jrami.v7i03.1147

Abstract

Along with the development of information technology, it opens up great opportunities to improve the quality of public health services, including the Integrated Service Post (Posyandu) service. It is known that the implementation of Posyandu in Sairo Village, North Manokwari District, still experiences problems when managing maternal and toddler data, which is done conventionally, thus affecting the effectiveness of services and the delivery of health information. This research has a role in implementing a web-based Posyandu information system that can provide solutions for Posyandu cadres and health workers in the process of recording, managing, and reporting toddler health data in a structured and accurate manner. The method used to build this system is the Waterfall method, which is classified into the stages of analysis, design, coding, implementation, and maintenance. This system is implemented with the PHP programming language with the CodeIgniter framework and a MySQL database. The results of the research lead to the developed Posyandu information system being able to replace manual recording processes with digital ones, simplify the management of toddler data, immunizations, and health checks, and speed up the reporting process. In addition, this system increases the effectiveness and efficiency of Posyandu cadres' performance in helping the community obtain health services. Thus, the implementation of this online-based information system is expected to provide a solution to improve the quality of maternal and child health services in Sairo Village, North Manokwari District.
Implementasi Sistem Perpustakaan Digital dengan Fitur Peminjaman Buku Berbasis Barcode untuk Meningkatkan Efisiensi dan Akurasi di MTS NU 01 Pecalungan Nadya Angelica Wimara; Iwan Setiawan Wibisono
Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Vol. 7 No. 02 (2026): Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Publisher : Program Studi Teknik Informatika, FTIK, Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jrami.v7i02.1163

Abstract

This study aims to develop and implement a barcode-based digital library system at MTS NU 01 Pecalungan, to improve service time efficiency and accuracy in data recording. The method used is a mixed-method sequential explanatory design, with two stages: quantitative and qualitative. In the quantitative phase, system testing was conducted to obtain data that would later be used to compare processing time and data accuracy levels between when using manual and barcode-based systems. The results showed an increase in time efficiency from an average of 122.4 seconds to 33 seconds for borrowing and data accuracy from 82% to 97%. Functional testing of this system used Blackbox testing to test all features in the system, ensuring all features run well. Meanwhile, the results of the analysis of the questionnaire with 82 respondents showed that the majority of users were satisfied with this system, with a level of accuracy of satisfaction classification using the Naive Bayes algorithm of 82.35%. It can be concluded that the implementation of the barcode system effectively increases the efficiency of school library services.
Sistem Pendukung Keputusan Menentukan Pilihan Bahan Kaos Sablon Terbaik pada PT Urusdo Kreasi Indonesia Berbasis Simple Additive Weighting Muhammad As'ad Difinubun; Yulianingsih Yulianingsih; Dian Novita
Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Vol. 7 No. 02 (2026): Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI)
Publisher : Program Studi Teknik Informatika, FTIK, Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/jrami.v7i02.1173

Abstract

Selecting the best fabric for screen-printed T-shirts is a multi-criteria decision-making process that considers factors such as fabric surface quality, comfort, durability, and price to support production and sales at PT Urusdo Kreasi Indonesia. Currently, this process is still carried out manually and subjectively, leading to time inefficiencies and the risk of incorrect fabric selection. This study applies a decision support system using the simple additive weighting method to provide objective recommendations. The data was processed through stages of decision matrix normalisation and criterion weighting (C1: 0.35, C2: 0.3, C3: 0.2, C4: 0.15). The results of the study indicate that polyester (A4) is the best choice, with the highest preference value of 0.81. The implementation of this system has proven effective in helping management make material procurement decisions in a more transparent and efficient manner.

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