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All Journal Jurnal Informatika Jurnal Pendidikan Geografi Undiksha Jurnal Manajemen Teknologi Tunas Geografi Media Komunikasi Geografi Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) JURNAL SPASIAL Sistemasi: Jurnal Sistem Informasi Journal of Applied Geospatial Information SINTECH (Science and Information Technology) Journal JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi CCIT (Creative Communication and Innovative Technology) Journal Journal of Information System,Graphics, Hospitality and Technology Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Journal of Information Systems and Informatics Jurnal Sistem informasi dan informatika (SIMIKA) Journal of Innovation and Future Technology (IFTECH) Jurnal Mnemonic JATI (Jurnal Mahasiswa Teknik Informatika) JURNAL GEOGRAFI Geografi dan Pengajarannya Jurnal Perangkat Lunak Journal of Information Technology Ampera Journal of Computer and Information Systems Ampera Buletin Poltanesa KLIK: Kajian Ilmiah Informatika dan Komputer Humantech : Jurnal Ilmiah Multidisiplin Indonesia Jurnal Indonesia Sosial Teknologi INOVTEK Polbeng - Seri Informatika
Frederik Samuel Papilaya
Universitas Kristen Satya Wacana
Religion Agriculture, Biological Sciences & Forestry Arts Astronomy Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Library & Information Science Physics Public Health Social Sciences Other

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Perencanaan strategis sistem informasi dengan menggunakan metode TOGAF Leta, Ivena Leoma; Papilaya, Frederik Samuel
Humantech : Jurnal Ilmiah Multidisiplin Indonesia Vol. 3 No. 1 (2023): Humantech : Jurnal Ilmiah Multidisiplin Indonesia
Publisher : Program Studi Akuntansi IKOPIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32670/ht.v3i1.3993

Abstract

Pendidikan diperlukan bagi setiap orang untuk mengidealkan dan menciptakan potensi mereka. Pendidikan bukan hanya perolehan pengetahuan, tetapi juga informasi, penilaian dan esensi. Mempersiapkan seseorang dalam menghadapi dunia pekerjaan agar menghasilkan seseorang yang berkualitas dan mampu serta dapat mengembangkan skill yang mereka punya untuk diasah agar maksimal. Namun hal tersebut juga harus diimbangi dengan pemanfaatan teknologi yang semakin berkembang saat ini, yang dapat mempermudah siswa atau guru untuk menciptakan kualitas dan mengembangkan siswa. Penelitian ini fokus pada analisis mengenai “Perencanaan Strategis Sistem Informasi dengan Metode TOGAF di SMA Negeri 1 Tengaran” Melalui pendekatan ini, peneliti mengidentifikasi nilai tambah dalam rantai nilai organisasi, menganalisis kekuatan persaingan melalui kerangka Five Force Factor Porter, dan menilai portofolio sistem informasi dengan metode McFarlan. Hasil analisis ini menjadi dasar untuk merumuskan dokumen perencanaan strategis yang akan memandu implementasi sistem informasi di sekolah ini.
PREDIKSI JUMLAH SISWA MENGGUNAKAN METODE DOUBLE EXPONENTIAL SMOOTHING PADA SD 07 DUNGKAN Sanggup, Salmon; Samuel Papilaya, Frederik
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 7 No. 2 (2023): JATI Vol. 7 No. 2
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v7i2.6741

Abstract

Penelitian ini bertujuan untuk mengembangkan metode prediksi yang akurat untuk memperkirakan jumlah siswa baru di Sekolah Dasar 07 Dungkan. Prediksi ini penting bagi manajemen sekolah dalam merencanakan kebutuhan fasilitas, sumber daya, dan pengaturan kelas yang optimal. Metode yang digunakan dalam penelitian ini adalah double exponential smoothing, yang merupakan metode peramalan yang efektif dalam menangani data dengan tren dan pola musiman. Data yang digunakan dalam penelitian ini adalah jumlah siswa baru di Sekolah Dasar 07 Dungkan selama 15 tahun terakhir sejak tahun ajaran 2007/2008 sampai dengan tahun ajaran 2021/2022. Data tersebut diperoleh dari arsip sekolah dan catatan kepegawaian. Implementasi metode double exponential smoothing dilakukan menggunakan perangkat lunak statistik yang sesuai. Langkah-langkah dalam implementasi metode double exponential smoothing meliputi pemilihan nilai awal untuk level dan trend, perhitungan level peramalan berikutnya dan trend peramalan berikutnya, perhitungan kesalahan prediksi, dan penyesuaian parameter smoothing level dan trend untuk mengoptimalkan akurasi prediksi. Hasil penelitian ini menunjukkan bahwa metode double exponential smoothing efektif dalam memprediksi jumlah siswa baru di Sekolah Dasar 07 Dungkan. Penelitian ini memberikan manfaat bagi manajemen sekolah dalam merencanakan sumber daya dan fasilitas yang diperlukan untuk mengakomodasi jumlah siswa baru di masa mendatang. Selain itu, penelitian ini juga dapat menjadi acuan untuk pengembangan metode prediksi di sekolah-sekolah dasar lainnya.
Analisis Kerapatan Vegetasi Kecamatan Ambarawa dengan Algoritma NDVI Rafsanjani, Mohammad Alifian; Papilaya, Frederik Samuel
Jurnal Pendidikan Geografi Undiksha Vol. 12 No. 3 (2024): Jurnal Pendidikan Geografi Undiksha
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jjpg.v12i3.80197

Abstract

This study analyzes changes in vegetation density in Ambarawa District, Semarang Regency, using the Normalized Difference Vegetation Index (NDVI) algorithm based on Landsat-8 OLI satellite imagery. Data from 2019 (low rainfall: 599 mm²) and 2022 (high rainfall: 2202 mm²) were compared to assess the impact of climate variability on vegetation. Results indicate that NDVI values in 2019 ranged from -0.31 to 0.79, with sparse vegetation dominating (36.12%). By 2022, NDVI values improved to -0.28–0.84, showing a significant increase in dense vegetation (+10.21%). The analysis demonstrates that rainfall significantly influences vegetation density, with wet seasons enhancing vegetation health and coverage. This study recommends routine NDVI-based monitoring for sustainable environmental planning. Validation using Google Earth confirms the findings' accuracy. Future research should incorporate field surveys and anthropogenic factor analysis for more comprehensive insights.
Perancangan Aplikasi E-Commerce Menggunakan Cloud Computing dan Arsitektur Severless Lambda Santoso, Liem Margareth; Papilaya, Frederik Samuel
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 2 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No2.pp155-163

Abstract

E-commerce applications are one area that continues to develop rapidly in the digital industry. The use of cloud computing and serverless lambda technology has provided many advantages in developing and managing e-commerce applications. However, the need for flexibility, scalability, and operational efficiency is increasingly driving the adoption of serverless architecture as an approach to building adaptive and cost-effective e-commerce applications. The app allows sellers to market products, take orders, and manage inventory efficiently, while customers can easily browse the product catalog, add items to their shopping cart, and complete checkout. Through performance analysis and evaluation, we show that the serverless Lambda architecture is capable of automatically providing scalability according to application traffic requirements. Additionally, a serverless approach also reduces the burden of infrastructure administration, allowing developers to focus on developing features and functionality that have a direct impact on the user experience.
Perancangan Aplikasi Papan Informasi Digital Menggunakan Laravel Berbasis Web Hernanda, Dava Putra; Papilaya, Frederik Samuel
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 14, No 1: April 2025
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v14i1.2705

Abstract

The development of information technology demands fast, accurate and efficient information distribution. One of the most effective means of distributing information is a web-based digital bulletin board. Therefore, this research aims to design and implement a web-based bulletin board application using the Laravel framework. The application development method used is the Waterfall model, which includes the stages of problem identification, system design, implementation, testing and maintenance. This application provides an easy-to-use interface for admins to manage information and allows users to access information in real-time through a browser. The results of this study show that the developed application is able to meet the needs of effective content management and real-time information delivery.Keywords: Information Board; Laravel; Web; Waterfall AbstrakPerkembangan teknologi informasi menuntut penyaluran informasi yang cepat, akurat dan efisien. Salah satu sarana paling efektif untuk mendistribusikan informasi adalah papan buletin digital berbasis web. Oleh karena itu, penelitian ini bertujuan untuk merancang dan mengimplementasikan aplikasi papan pengumuman berbasis web menggunakan framework Laravel. Metode pengembangan aplikasi yang digunakan adalah model Waterfall, yang mencakup tahap identifikasi masalah, desain sistem, implementasi, pengujian dan pemeliharaan. Aplikasi ini menyediakan antarmuka yang mudah digunakan oleh admin untuk mengelola informasi dan memungkinkan pengguna untuk mengakses informasi secara real-time melalui browser. Hasil penelitian ini menunjukkan bahwa aplikasi yang dikembangkan mampu memenuhi kebutuhan pengelolaan konten yang efektif dan penyampaian informasi secara real-time. 
Operational Evaluation of the Document and Archive Management Application at Disdukcapil Salatiga using the EUCS Method Florensia, Florensia Fransisca; Samuel Papilaya, Frederik
INOVTEK Polbeng - Seri Informatika Vol. 10 No. 2 (2025): July
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/w3yzfr51

Abstract

Efficient population administration services require information systems that effectively support staff performance. This study aims to evaluate user satisfaction with the internal application used by the Salatiga Civil Registry Office (Disdukcapil) using the End User Computing Satisfaction (EUCS) method. Data were collected through questionnaires distributed to 10 respondents from two different job functions (service counter and archive), and analysed using descriptive statistics and the Mann-Whitney test. The results show that user satisfaction scores were generally high (ranging from 3.9 to 4.3), with no statistically significant differences in perceptions based on job function or duration of system use (p > 0.05). This suggests that the application is widely accepted among users. However, limitations such as a small sample size and lack of personalised features may affect the generalizability of the findings. The study recommends improving interface design and increasing system flexibility to better align with operational needs. Future research should involve a larger number of respondents and consider evaluating additional technical aspects, such as data security and system integration.
Evaluasi Antarmuka Aplikasi Shopee menggunakan Metode Heuristic Evaluation Kaleo, Anshelmo Christopher; Papilaya, Frederik Samuel
Jutisi : Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Vol 14, No 2: Agustus 2025
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/jutisi.v14i2.2955

Abstract

This study aimed to evaluate the user interface of the Shopee application using the heuristic evaluation method based on Nielsen’s ten principles. The evaluation was conducted through an online questionnaire distributed to 35 active Shopee users. Each item in the questionnaire represented a specific heuristic principle and was rated using a Likert scale. The data were analyzed by calculating the average scores of each item and each principle, followed by severity rating computation derived from user satisfaction scores. The results revealed that the “Flexibility and Efficiency of Use” principle had the highest score, while “Error Prevention”, “Consistency and Standards”, and “Aesthetic and Minimalist Design” had the highest severity levels. These findings indicate that while the Shopee interface generally adheres to key usability principles, several critical aspects still require improvement. This study offers practical insights for the development of a more user-friendly and responsive interface.Keywords: Heuristic evaluation; User interface; Shopee application; Severity rating; UsabilityAbstrakPenelitian ini bertujuan untuk mengevaluasi antarmuka aplikasi Shopee menggunakan metode heuristic evaluation berdasarkan sepuluh prinsip Nielsen. Evaluasi dilakukan melalui kuesioner daring yang disebarkan kepada 35 pengguna aktif Shopee. Setiap butir pernyataan pada kuesioner mewakili prinsip heuristik tertentu dan dinilai menggunakan skala Likert. Data dianalisis dengan menghitung nilai rata-rata tiap pertanyaan dan tiap prinsip, serta dilengkapi perhitungan tingkat keparahan (severity rating) berdasarkan skor kepuasan pengguna. Hasil menunjukkan bahwa prinsip Flexibility and Efficiency of Use memperoleh skor tertinggi, sedangkan Error Prevention, Consistency and Standards, serta Aesthetic and Minimalist Design mencatat nilai severity tertinggi. Temuan ini mengindikasikan bahwa meskipun antarmuka Shopee secara umum telah memenuhi sebagian besar prinsip usability, masih terdapat beberapa aspek penting yang perlu diperbaiki. Penelitian ini memberikan masukan aplikatif untuk pengembangan antarmuka yang lebih responsif dan ramah pengguna. 
Application of OLAP based Business Intelligence and Predictive Analysis (Random Forest Classifier and ARIMA) in a Fintech P2P Lending Company Olivia, Kristiana; Papilaya, Frederik Samuel
Sistemasi: Jurnal Sistem Informasi Vol 14, No 6 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i6.5663

Abstract

The rising rate of non-performing loans (NPLs) in the financial technology (fintech) P2P lending industry has become a serious challenge, including for PT XYZ, which focuses on funding the MSME sector. This study applies Business Intelligence using OLAP and predictive analytics at PT XYZ over a two-year period. The dataset consists of records from January 2023 to December 2024, comprising 276,320 loan transactions and 267,542 repayment records. The OLAP approach was employed to explore loan transactions, repayment performance, and delinquency patterns across multiple dimensions, such as account, time, payment method, and bank used. The results of this exploration were visualized through three interactive dashboards tailored to the analysis focus. Predictive analysis was conducted using a Random Forest Classifier, which identified loan_amount as the most influential variable in predicting potential delinquency. However, the model’s performance was relatively limited, achieving an accuracy of 61.47%, precision of 38.33%, and recall of 36.89%. Delinquency trend forecasting using the ARIMA (2,1,1) model indicated an increase in overdue cases up to March 2025, followed by a decline in subsequent months. The model evaluation yielded MAPE of 39.74%, sMAPE of 33.32%, and RMSE of 1086.77, suggesting moderately adequate predictive accuracy but with a relatively high error rate. This study recommends implementing incentives for OBA (Online Borrower Accounts) with good repayment performance and restricting loan ceilings based on an automated risk score. Further development is advised by enriching the dataset with additional variables and enhancing predictive models through techniques such as oversampling (e.g., SMOTE) and hyperparameter tuning to maximize accuracy.
SPATIAL ANALYSIS OF COVID-19 SPREAD PATTERN USING KERNEL DENSITY METHOD IN SURAKARTA Dwi Agung Wicaksono, Dwi Agung Wicaksono; Papilaya, Frederik Samuel
JURNAL GEOGRAFI Geografi dan Pengajarannya Vol 21 No 2 (2023): JURNAL GEOGRAFI Geografi dan Pengajarannya
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jggp.v21n2.p93-106

Abstract

The COVID-19 pandemic caused by the SARS-CoV-2 virus, which spreads through the respiratory system and can cause respiratory problems, began in Wuhan, China, in December 2019 and quickly spread worldwide, including Indonesia. Surakarta experienced a significant increase in cases from April to June due to factors such as the celebration of Eid al-Fitr. The author used the Kernel Density method to map the spatial distribution of COVID-19 cases in Surakarta and to investigate the relationship between vaccination rates and positive patients. The methodology involved a quantitative descriptive study using secondary data from the Surakarta Health Agency in May 2021. Based on the research, it was found that there was no relationship between the achievement of the first dose of vaccination and the number of confirmed COVID-19 cases in the city of Surakarta. The spread of COVID-19 was more influenced by activities carried out by the community in public facilities or outdoor spaces, as well as compliance with the health protocols provided by the government.
ANALISIS SISTEM INFORMASI GEOGRAFIS PARIWISATA DI KABUPATEN SEMARANG Wahyudi, Irawan Parulian; Papilaya, Frederik Samuel
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 8 No. 1 (2024): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol8No1.pp65-71

Abstract

As time goes by, technology is also developing, especially in the field of Geographic Information Systems (GIS). Geographic Information Systems (GIS) have become an important tool in analyzing, managing, and designing. In various fields and sectors. Semarang Regency is a region located in the province of Central Java which has many very diverse tourist destinations. Tourist destinations in Semarang Regency are relatively low in visitors compared to other regions. Therefore, the aim of this research is to design an application that functions to introduce tourist destinations in Semarang Regency to the wider community by adopting Geographic Information System (GIS) technology. This application makes it easier for visitors to find out tourist locations, see locations virtually using images, see place ratings based on public assessments, looking at the costs required to access tourist areas, etc. This design method uses qualitative methods and system design using UML (Unified Modeling Language)
Co-Authors Aditya Pranata Wibowo Agustinus Fritz Wijaya Andreas Tunggono Cassandra, Chris Danny Manongga Dennis Christian Tallo Devara Liko Ivander Dian Oktaviani Dwi Agung Wicaksono, Dwi Agung Wicaksono Fevrierdo Nathaniel Shanahan Pradana Florensia, Florensia Fransisca Harnawan Nurul Asna Hernanda, Dava Putra Jeremi Yohanes Mocodompis Johan Jimmy Carter Tambotoh Josef Allen Kaleo, Anshelmo Christopher Leta, Ivena Leoma Mahardika, Adrian Wisnu Mahersy Bobode Marboles Kundrat Marcelino, Kevin Michael Bezaleel Wenas Monika Prianti Natan Nael Neti Triana Oktovio Metusael Kenspasio Kapoh Olivia, Kristiana Pandhu Kanantyo Penidas Fodinggo Tanaem Pinatik, Noversa Yafet Pransiska Ropi Prelin Leunupun Putra Setyawan, Krisnantia Rafsanjani, Mohammad Alifian Riska Vennithasari Sanggup, Salmon Santoso, Liem Margareth Satria Wirabuana Selfiana Pandie Theodorus Deventer Rihulay Titan Kurniawan Vincent Sapakoly Wahyudi, Irawan Parulian Wibowo, Aditya Pranata Wilda Vallensia Latupeirissa