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Julianto Simatupang
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INDONESIA
Jurnal Ilmu Komputer Ruru
Published by Yayasan Grace Berkat Anugerah
ISSN : -     EISSN : 30467314     DOI : https://doi.org/10.69688/jikr
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Mechanical Engineering
Jurnal Ilmu Komputer Ruru merupakan jurnal ilmiah dalam sistem informasi/teknologi informasi yang berisi literatur ilmiah tentang kajian penelitian murni dan terapan dalam sistem informasi/teknologi informasi dan tinjauan publik terhadap perkembangan teori, metode dan ilmu terapan yang terkait dengan subjek. Jurnal Ilmu Komputer Ruru (JIKR) diterbitkan oleh Yayasan Grace Berkat Anugerah. Redaksi mengajak peneliti, praktisi, dan mahasiswa untuk menulis perkembangan keilmuan di bidang yang berkaitan dengan sistem informasi/teknologi informasi. Jurnal Ilmu Komputer Ruru (JIKR) diterbitkan 2 (dua) kali setahun pada bulan Januari dan Juli. Jurnal ini berisi artikel penelitian dan kajian ilmiah.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 20 Documents
 1   2 
Optimizing K-Means Algorithm With Elbow And Silhouette Methods For National Exam Score Data Clustering Ramzi Saputra; Iwan Purnama
Jurnal Ilmu Komputer Ruru Vol. 1 No. 1 (2024): Edisi Januari
Publisher : Yayasan Grace Berkat Anugerah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jikr.v1i1.1

Abstract

The national examination is an evaluation system for basic education standarts that supports student graduation. In accordance with the regulations of the Government of the Republic Indonesia, the evaluation of learning outcomes aims to evaluate the achievement of national graduate students. As the data obtained by the author, namely the National Vocational Exam Value Data for the Vocational High School in Central Java Province for the class of 2019. But the data displayed is still random and less information. Then data mining techniques are needed to classify which schools is carried out using the k-means clustering method and using elbow and silhouette optimization, with optimum k obtained K=3 and K=2 with calculations using RStudio tools. It is expected to produce the best cluster for the grouping
PENERAPAN DIGITAL SIGNATURES UNTUK OTENTIKASI DAN KEAMANAN DATA BERBASIS LOKASI GPS PADA APLIKASI MOBILE Sumarno Sumarno; Indra Gunawan
Jurnal Ilmu Komputer Ruru Vol. 1 No. 1 (2024): Edisi Januari
Publisher : Yayasan Grace Berkat Anugerah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jikr.v1i1.2

Abstract

In an era where mobile applications are becoming increasingly important in everyday life, data security and authentication is an aspect that cannot be ignored. Especially in the context of applications that utilize GPS location information, the need to ensure the authenticity and integrity of data becomes crucial. In this study, we introduce an approach to implementing digital signatures to improve data security and authentication in mobile applications based on GPS location. The digital signatures method is used to sign location data generated by GPS devices on mobile applications. This digital signing process allows verification of the authenticity and integrity of that location data. In addition, digital signatures also make it possible to verify the identity of the user or entity that generated the data, thus preventing the possibility of data forgery or other security attacks. This research will include the implementation of a digital signatures-based security system on mobile applications that utilize GPS location services. We will analyze the performance of the system in ensuring the authenticity and integrity of data, as well as measure the overhead incurred by the digital signing process. In addition, we will also test the security of the system by testing for possible attacks or security breaches that may occur. The results of this study are expected to make a significant contribution in strengthening data security and authentication in location-based mobile applications, as well as provide guidance for the practical implementation of digital signatures in this context. Thus, mobile applications that utilize GPS location information can operate with a higher level of security, increasing user confidence in the application.
Penggabungan Mapbox dan Google Maps dalam Sistem Informasi Geografis untuk Memperkaya Fitur Tambahan Wiwit Wahyudi
Jurnal Ilmu Komputer Ruru Vol. 1 No. 1 (2024): Edisi Januari
Publisher : Yayasan Grace Berkat Anugerah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jikr.v1i1.3

Abstract

The use of geographic information systems (GIS) is increasingly widespread in various applications that utilize geographic data to support decision making and spatial analysis. In GIS development, integration between various mapping platforms is key to enriching features and meeting diverse user needs. This paper discusses the merger between Mapbox and Google Maps in a geographic information system to add additional features that enrich the user experience. Mapbox and Google Maps are two popular and powerful mapping platforms, each with its own advantages and disadvantages. In this study, we propose the integration of these two platforms in one geographic information system. This integration allows users to access a wide array of features and data provided by Mapbox and Google Maps simultaneously, thereby increasing the flexibility and analytical capabilities of GIS. By combining the strengths of Mapbox and Google Maps, the developed geographic information system can present a variety of geographic information more comprehensively and accurately. Users can benefit from excellent features from both platforms, such as rich and interactive data visualization, accurate navigation, and integration with other services such as public transportation and location search. It is expected that the incorporation of Mapbox and Google Maps in this geographic information system can make a positive contribution in the development of location-based applications and support various activities that require efficient and effective analysis and visualization of geographic data.
PENGEMBANGAN MODEL FUZZY TSUKAMOTO UNTUK EVALUASI KELAYAKAN DAN KEEFEKTIFAN PENERAPAN KELUARGA BERENCANA ALAMI (KBA) DALAM KONTEKS KESEHATAN REPRODUKSI Arjon Samuel Sitio
Jurnal Ilmu Komputer Ruru Vol. 1 No. 1 (2024): Edisi Januari
Publisher : Yayasan Grace Berkat Anugerah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jikr.v1i1.4

Abstract

The implementation of Natural Family Planning (KBA) has become an increasingly considered approach in an effort to improve reproductive health. However, evaluation of the feasibility and effectiveness of KBA implementation requires a systematic and comprehensive approach. In this study, we introduce the development of the Fuzzy Tsukamoto model as a tool to evaluate the feasibility and effectiveness of implementing KBA in the context of reproductive health. The Fuzzy Tsukamoto model is used to evaluate various factors that affect the feasibility and effectiveness of implementing KBA, including social, economic, health, and user satisfaction aspects. The fuzzy approach allows us to deal with uncertainty and complexity in the data associated with these evaluations, as well as to integrate expert knowledge into the decision-making process. This research will cover the stages of Fuzzy Tsukamoto's model development, including the identification of input and output variables, the establishment of fuzzy rules, and the implementation of a fuzzy inference system. We will collect data from KBA-related case studies or surveys to train and test the developed model. In addition, we will also perform a sensitivity analysis to evaluate the reliability and robustness of the model to parameter variations. It is hoped that the results of this study will provide valuable guidance for reproductive health practitioners, policy makers, and other relevant parties in assessing and improving the implementation of KBA. By utilizing the Fuzzy Tsukamoto model, it is hoped that the feasibility and effectiveness evaluation of KBA can be carried out in a more holistic and trustworthy manner, thus encouraging efforts towards better reproductive health overall.
EVALUASI KINERJA METODE ANALYTICAL HIERARCHY PROCESS (AHP) DALAM PENELUSURAN ASET PADA LINGKUNGAN BISNIS STUDI KASUS PADA INDUSTRI PERBANKAN Isworo Nugroho
Jurnal Ilmu Komputer Ruru Vol. 1 No. 1 (2024): Edisi Januari
Publisher : Yayasan Grace Berkat Anugerah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jikr.v1i1.5

Abstract

Asset tracing is an important activity in business management, especially in the banking industry where asset management has direct implications for a company's financial health and sustainability. In this context, this study aims to evaluate the performance of the Analytical Hierarchy Process (AHP) method in asset tracing, with case studies in the banking industry. This study adopts a quantitative approach by applying AHP in selecting asset tracing priorities in the banking business environment. Asset-related data, such as value, risk, and strategic importance, are collected and analyzed to support the decision-making process. Furthermore, AHP is applied to determine the relative weighting of the relevant criteria and generate a rating for each asset based on the assessment of those criteria. The results of the performance evaluation of the AHP method in asset tracing in the banking industry show that this approach provides a systematic and structured framework for decision making. By using AHP, asset ratings can be determined more objectively and transparently, reducing the risk of errors and misappropriations in resource allocation. In addition, AHP allows management to prioritize asset tracing based on the company's business objectives and strategic needs. In conclusion, the performance evaluation of the AHP method in asset tracing in the business environment, especially in the banking industry, shows the potential to improve the efficiency and effectiveness of asset management. With a structured, data-driven approach like AHP, companies can optimize resource usage and reduce the risk of loss caused by assets that are not strategically optimized.
MENINGKATKAN MOTIVASI BELAJAR SISWA SMA MENGGUNAKAN MEDIA BELAJAR INSTRUCTIONAL GAMES Fauzi Faisal Nugraha; Eryan Ahmad Firdaus
Jurnal Ilmu Komputer Ruru Vol. 1 No. 2 (2024): Edisi Juli
Publisher : Yayasan Grace Berkat Anugerah

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Games that are interesting and fun to play make the interest of students to prefer playing games rather than studying. Submission of teaching materials in a conventional way will be boring to be followed by students in class. It is necessary to improve teaching methods that are able to attract students' interest in learning to be motivated in participating in teaching and learning activities. The design of interactive learning media with the instructional games model aims to increase the interest of students so that they can receive teaching materials in a good and fun way. The method used in this research is Research and Development (R&D). To analyze students' learning motivation, a field survey questionnaire was used which was given to 33 students of Class XI SMA Negeri 1 Plered. There has been an increase of 8.22%, where the initial motivation of students is at the percentage of 62.88% increasing to a percentage of 71.10%, which can also be interpreted that the use of interactive instructional games learning media is able to increase student learning motivation.  
MEMAHAMI PASAR KUE TRADISIONAL DJAJE MELALUI ANALISIS STP: SEGMENTATION, TARGETING, POSITIONING Nurul Baikhaq
Jurnal Ilmu Komputer Ruru Vol. 2 No. 1 (2025): Edisi Januari
Publisher : Yayasan Grace Berkat Anugerah

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Abstract

In this study, the digital marketing strategy uses STP (Segmentation, Targeting, Positioning) analysis by determining target consumers such as those aged 22-60 years who are in the Denpasar and surrounding areas and have an interest in religious events such as weddings, celebrations, and others. Implementation of the digital marketing strategy by implementing it on existing digital platforms such as Facebook, Instagram, WhatsApp Business, website, and Google Business Profile. Another strategy used is to advertise on Facebook and Instagram as well as websites. In addition to using the online method, offline also adds the number of resellers. The results of the research conducted after applying STP (Segmentation, Positioning, Targeting) analysis on the various platforms used, namely the increasing number of sales from October 2021 to March 2022.
EVALUASI PENGALAMAN PENGGUNA MAHASISWA TERHADAP SISTEM INFORMASI SIASAT: PENDEKATAN DENGAN USER EXPERIENCE QUESTIONNAIRE Saeful Anwar
Jurnal Ilmu Komputer Ruru Vol. 2 No. 1 (2025): Edisi Januari
Publisher : Yayasan Grace Berkat Anugerah

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Abstract

This research aims to analyze student user experience on the Satya Wacana Information System (SIASAT) using the User Experience Questionnaire (UEQ). UEQ is a measurement method from the aspect of its use and the aspect of the experience, including a compressive impression using a questionnaire scale. The UEQ has 26 questions that must be filled out by respondents, where the questions cover 6 aspects, including attractiveness, efficiency, perspicuity, dependability, stimulation, and novelty. The UEQ questionnaire in this study used data from 54 active SWCU student respondents who understood the use of the Satya Wacana Academic Information System (SIASAT) well. The final results of the tests carried out obtained data for the scale of attractiveness, efficiency, dependability, and stimulation to get a normal evaluation category. Meanwhile, the novelty scale gets a negative evaluation category and the perspicuity scale gets a positive evaluation category. Then for the results of the benchmark evaluation, the majority got the Bad category which includes a scale of attractiveness, efficiency, dependability, stimulation, and novelty. Only one scale that gets the Above Average category (Good Enough) is perspicuity.
PREDIKSI PENETAPAN TARIF PENERBANGAN MENGGUNAKAN AUTO-ML DENGAN ALGORITMA RANDOM FOREST Ruli Herdiana
Jurnal Ilmu Komputer Ruru Vol. 2 No. 1 (2025): Edisi Januari
Publisher : Yayasan Grace Berkat Anugerah

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Abstract

With so many airlines competing with each other, airlines are competing to become the consumer/market's main choice, but to achieve this, there is no airline strategy that can predict the price of airline tickets according to market needs. To meet the needs of airlines, we need a way to determine the price of airline tickets according to market needs with the help of the influence of technology and information. This research method was carried out using Google Collaboratory as a media to create a data model with the Random Forest, Logistic Regression and Gradient Boosting Regressor algorithms. In this study, the model that produced the highest R2 value and the lowest RMSE was a random forest with an R2 value of 83.91% and an RMSE of $175.9. However, from the three models, Random Forest got a change in accuracy of 1.96% to 85.87. To assist in predicting the determination of flight fares, airline companies can more easily and be alert to determine flight fares that are in accordance with the market. Therefore, Random Forest can be declared better than Logistic Regression and Gradient Boosting models. The Random Forest model that has been created can be used to predict in real-time using Machine Learning.
PEMANFAATAN ALGORITMA APRIORI UNTUK PENINGKATAN EFISIENSI PRODUKSI AKUAKULTUR DI SUMATERA UTARA Fricles A Sianturi
Jurnal Ilmu Komputer Ruru Vol. 1 No. 2 (2024): Edisi Juli
Publisher : Yayasan Grace Berkat Anugerah

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Abstract

Aquaculture is a crucial sector for supporting food security and the economy in North Sumatra Province. However, aquaculture production in this region faces several challenges, such as low production efficiency and suboptimal resource utilization. This study aims to optimize aquaculture production by applying the Apriori Algorithm and Association Rule Method. A case study was conducted at the North Sumatra Provincial Department of Marine Affairs and Fisheries. Aquaculture production data, including fish species, feed, environmental conditions, and farming techniques, were collected and analyzed using the Apriori Algorithm. This algorithm was used to identify significant patterns and relationships among these factors that could enhance production. The results of the study show that the application of the Apriori Algorithm successfully identified the most effective factor combinations for improving aquaculture production. For instance, it was found that a certain combination of feed types with specific environmental conditions resulted in a significant increase in production. These findings provide valuable insights for strategic decision-making in the management and development of the aquaculture sector in North Sumatra. Thus, this research contributes to the sustainability and productivity improvement of aquaculture in the region, and offers a scientific basis for more effective planning and policy implementation in the aquaculture sector

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