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All Journal Jurnal Ilmiah KOMPUTASI Sistemasi: Jurnal Sistem Informasi Syntax Literate: Jurnal Ilmiah Indonesia Jambura Journal of Informatics Syntax Idea Jurnal Teknologi Dan Sistem Informasi Bisnis Zonasi: Jurnal Sistem Informasi JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) JURNAL PENDIDIKAN, SAINS DAN TEKNOLOGI Jurnal Teknik Informatika (JUTIF) Indonesian Journal of Innovation Studies Malcom: Indonesian Journal of Machine Learning and Computer Science Innovative: Journal Of Social Science Research Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi
Paputungan, Irving Vitra
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Public Health Social Sciences Other

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Penerapan Metode Simple Additive Weighting Pada Aplikasi Placeplus Untuk Mencari Coworking Space Irawan, Aditya Putra; Paputungan, Irving Vitra; Suranto, Beni
Syntax Idea Vol 2 No 7 (2020): Syntax Idea
Publisher : Ridwan Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-idea.v2i7.439

Abstract

Pencarian coworking space kadangkala menjadi sebuah permasalahan di kalangan para penggunanya. Ada beberapa pertimbangan sampai pada akhirnya menentukan salah satu dari beberapa pilihan yang tersedia. Artikel ini menyajikan penerapan Simple Additive Weighting (SAW) sebagai metode pendukung keputusan pencarian coworking space. Metode SAW akan melakukan proses perangkingan keputusan dari beberapa alternatif. Kriteria yang digunakan dalam proses pengambilan keputusan yaitu kenyamanan tempat, kestrategisan lokasi, pelayanan/service, fasilitas, dan luas tempat parkir. Beberapa rekomendasi coworking space akan diurutkan berdasarkan bobot akhir yang didapat. Metode SAW ini diterapkan pada aplikasi PlacePlus yang dijalankan pada sistem operasi web. Hasil eksperimen menunjukkan Sinergi Cowork and Network Space berada pada urutan pertama coworking space yang paling direkomendasikan kepada calon pengguna.
Integration of TAM and DeLone and McLean Models to Evaluate the Quality of NAMPAH Applications Diana, Ros; Paputungan, Irving Vitra; Luthfi, Ahmad
Jurnal Teknologi Dan Sistem Informasi Bisnis Vol 6 No 4 (2024): Oktober 2024
Publisher : Prodi Sistem Informasi Universitas Dharma Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jteksis.v6i4.1583

Abstract

Waste banks are an important solution in environmental management, one of which is the NAMPAH application. NAMPAH is an Android-based digitalization innovation. Along with its implementation, several problems were discovered in terms of application use, especially related to the use of application systems and services. Based on this, researchers focus on system evaluation of system success. This research uses the Technology Acceptance Model (TAM) and the DeLone and McLean IS Success Model which aims to evaluate the system regarding system use. Data processing in this research used the Smart PLS 4 tool. From the research results it was found that several variables were determining factors in user satisfaction, including perceived ease of use, perceived usefulness, information quality and system quality. However, system quality is not significant to perceived usefulness. Meanwhile, service quality has an average value below the testing standards so it is not significant to user satisfaction and perceived ease of use.
Pengaruh Belajar Daring pada Masa Pandemi Covid-19 Terhadap Kelolosan Seleksi Kompetensi Dasar Rekrutmen CPNS 2021: Karimah Opralia, Husnun; Paputungan, Irving Vitra; Dirgahayu, Raden Teduh
Jurnal Ilmiah Komputasi Vol. 23 No. 1 (2024): Jurnal Ilmiah Komputasi : Vol. 23 No 1, Maret 2024
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32409/jikstik.23.1.3495

Abstract

The digital platform is used as an online learning tool and as a medium for providing guidance services. Online tutoring services using digital platforms are not only provided for a fee, providers also provide services for free. Functionally, the utilization of these two services is not much different. Online learning methods and use of platforms were utilized in the 2021 CPNS recruitment which was carried out during the COVID-19 pandemic. Thorough preparation must be made to face the Basic Competency Selection. SKD is one of the early stages of CPNS selection which has many competitors and fierce competition not only to meet grades passing grade to pass to the next stage but also must have a high score. Learning online with the use of digital platforms from each participant has a different experience. Through a survey that was distributed online, researchers collected 497 data and took a sample of 400 data from 200 participants who passed and 200 participants who did not pass the passing grade. The data was collected to find out how the influence of online learning carried out by participants on passing the SKD passing grade. This study uses descriptive statistical analysis methods and multiple correspondence analysis. From this analysis, based on the data mapping, it was found that there was an effect of learning methods using digital platforms on the participants' passing. Learning method with independent online learning duration of 4 hours/day, paid online tutoring duration of 2 hours/day, following 2 paid online tutoring services, taking online quizzes practice every day, always actively participating in virtual classes, always listening and discussing discussions materials and quizzes, as well as the ease of accessing materials, quiz exercises, face-to-face learning on digital platforms provided by guidance service providers also affect the passing grade of participants. online learning, digital platforms, technology, utilization, tutoring, passing, passing grades, cpns
PREDIKSI CURAH HUJAN MENGGUNAKAN METODE ARIMA Ramadhan, Hafidh Adiyatma; Paputungan, Irving Vitra
PENDIDIKAN SAINS DAN TEKNOLOGI Vol 12 No 1 (2025)
Publisher : STKIP PGRI Situbondo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47668/edusaintek.v12i1.1490

Abstract

Unpredictable rainfall can cause various negative impacts, especially in regions highly dependent on agriculture and infrastructure, such as Sleman Regency, Semarang, and Surabaya. Accurate weather predictions are crucial for anticipating disaster risks like floods, landslides, and droughts, as well as maintaining the sustainability of these vital sectors. This study aims to forecast rainfall in these three regions using the Autoregressive Integrated Moving Average (ARIMA) model. The ARIMA model was chosen for its flexibility in adapting to existing data patterns and its ability to provide accurate and economical predictions. Historical rainfall data from these three regions were analyzed using various ARIMA parameters (p, d, q) to identify the most optimal model. The results indicate that the ARIMA model can provide reasonably accurate rainfall predictions across all three regions with varying degrees of error. Significant differences were found in the model’s performance across the regions, influenced by local geographical and climatic characteristics.
Decoding Fan and Societal Sentiment: ABSA of The Saudi Pro League’s Recent Evolution Alraimi, Dheya Ali Qasem; Paputungan, Irving Vitra
Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi Vol. 4 No. 1 (2025)
Publisher : Department of Informatics Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/snati.v4.i1.6

Abstract

The Saudi Professional League (SPL) has attained global recognition through its recruitment of high-profile international players, yet this rise has intensified public scrutiny regarding incidents involving these athletes, such as Controversies surrounding sportsmanship, provocative celebrations, verbal altercations with spectators. This study analyzes (4,884) Arabic-language posts from (2021 to 2024), employing Aspect-Based Sentiment Analysis (ABSA) and the fine-tuned MARBERT model. The findings reveal a dominant negative sentiment (71.9%) across the dataset, with 'Player-Conduct' and 'Disciplinary-Action' emerging as the most frequently discussed aspects. Co-occurrence and correlation analyses indicate that negative sentiment is closely tied to perceptions of inadequate governance and cultural misalignment within the SPL, further intensifying public dissatisfaction. This research underscores the duality of high-profile players as drivers of global visibility and sources of domestic tension, particularly within culturally sensitive contexts. By addressing these challenges, the SPL can mitigate reputational risks while harmonizing its international ambitions with domestic expectations. This study advances Arabic Aspect-based sentiment analysis in the sports domain and provides actionable insights to enhance ethical governance, align with cultural sensitivities, and strengthen stakeholder engagement, thereby supporting the SPL’s long-term credibility and growth.
Inovasi Monitoring Pendaki Menggunakan Internet of Things untuk Membantu Keselamatan dan Ketertiban Digunung: Innovation in Monitoring Climbers Using the Internet of Things to Enhance Safety and Order on Mountains Perjalanan, Rahmat; Paputungan, Irving Vitra
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 5 No. 2 (2025): MALCOM April 2025
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v5i2.1716

Abstract

Penelitian ini bertujuan untuk mengembangkan inovasi dalam sistem monitoring pendaki guna meningkatkan keselamatan dan ketertiban aktivitas pendakian gunung. Sistem yang dirancang menggabungkan teknologi Global Positioning System (GPS) dan gelombang radio. Penelitian dilakukan dalam dua tahap: pertama, pengujian perangkat dilakukan di area perkotaan untuk menguji fungsionalitas dasar. Kedua, perangkat diuji langsung di jalur pendakian gunung melalui tiga kali percobaan. Tantangan utama dalam pengembangan perangkat ini meliputi: keberlanjutan sinyal GPS di daerah pegunungan, pemilihan komponen yang bagus dan tahan terhadap lingkungan ekstrem, serta desain alat yang portabel dan mudah dibawa oleh pendaki. Hasil pengujian lapangan menunjukkan bahwa perangkat GPS dapat mendeteksi posisi pendaki hingga jarak maksimum 5,9 kilometer, meskipun tingkat akurasinya bervariasi. Hambatan seperti tebing tinggi, hujan deras, awan mendung, dan angin kencang memengaruhi konsistensi sinyal GPS. Namun demikian, penelitian ini berhasil menemukan pendekatan baru untuk memonitor pendaki, sekaligus memberikan kontribusi signifikan terhadap peningkatan kualitas layanan sistem pendakian gunung.
PENGEMBANGAN VIDEO INTERAKTIF UNTUK PENANGANAN HENTI JANTUNG SAAT OLAHRAGA Alhamid, Fahira; Paputungan, Irving Vitra; Asyhar, Alfian N
PENDIDIKAN SAINS DAN TEKNOLOGI Vol 12 No 2 (2025)
Publisher : STKIP PGRI Situbondo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47668/edusaintek.v12i2.1625

Abstract

Exercise is widely recognized by both the public and experts as a key contributor to improved health. However, reality shows that cases of sudden death are sometimes reported among individuals who engage in regular exercise, either during or shortly after physical activity. Sudden cardiac arrest (SCA) is a condition characterized by the abrupt cessation of the heart's activity due to a disruption in the electrical impulses within the heart, resulting in impaired blood-pumping functions. Prompt response and understanding of emergency procedures, including the use of an Automated External Defibrillator (AED), can often be the deciding factor between life and death. Therefore, fostering better awareness and preparedness among individuals engaged in sports activities is essential to create a safer and more emergency-ready environment. The development of interactive videos has been identified as an effective educational tool to disseminate relevant information and enhance community readiness in addressing cardiac emergencies. This study employs the ADDIE method. Based on the research and testing of the interactive video on cardiac arrest management during exercise, it can be concluded that the video is highly effective in conveying information to the audience. Aspects such as video relevance, message clarity, content alignment, visual quality, and professionalism received high scores, demonstrating the video’s success in achieving its purpose as an educational medium.
Perbandingan Tree Based Model untuk Klasifikasi Tipe Kepribadian MBTI Effendy, Rani Asriya; Paputungan, Irving Vitra
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v10i3.57941

Abstract

This study examines the use of Tree-Based Models for classifying Myers- Briggs Type Indicator (MBTI) personality types. Data was collected through questionnaires referencing the 16Personalities test, followed by preprocessing steps to handle missing values, split MBTI labels, and analyze statistical summaries. Seven algorithms, including Decision Tree, Random Forest, Extra Trees, and Gradient Boosting, were applied to evaluate classification accuracy across MBTI dimensions (E-I, S-N, T-F, J-P). Random Forest emerged as the best model with an accuracy of 72.5% when analyzing high-correlation questions, highlighting its robustness in managing data interactions. This research emphasizes the effectiveness of machine learning in personality classification and provides practical insights for integrating MBTI assessments into applications. Future work suggests leveraging larger, more diverse datasets and exploring deep learning integrations for enhanced model performance.
Implementasi Teknologi Progressive Web App (PWA) Pada Sistem Informasi Kos-Kosan Dwiyanto, Nova; Paputungan, Irving Vitra
Journal of Information System Research (JOSH) Vol 6 No 1 (2024): Oktober 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i1.6074

Abstract

A boarding house is a residential service that offers rooms with flexible rental payments. However, transactions in most boarding houses are still conducted manually, where tenants have to send proof of payment to the owner and confirm that they have paid. This makes it difficult for tenants to ensure that their payments are received, and the owners also need to match the payment proofs with the recorded transactions. This situation is inefficient and can lead to administrative complexity as well as the risk of record-keeping errors. Therefore, a boarding house management information system is needed to simplify this process. The global mobile market share has risen from 0.67% in January 2009 to 47.96% in February 2019. This drives the need for mobile applications and responsive websites for mobile devices. However, developing mobile applications incurs higher costs compared to web-based system development. This article aims to create a boarding house management system using Progressive Web App (PWA) technology, which can simplify the payment and financial record-keeping processes, and can be installed like a native application, but with an easier installation process. The developed system successfully automates digital payments without manual verification, generates automatic bills, and sends notifications to tenants. The PWA implementation enhances the user experience by providing quick and easy access across various devices. As a result, the boarding house payment and transaction recording processes become more efficient, and user satisfaction is improved through a web application that delivers a mobile app-like experience.
Detection of Graduation Potential in Prospective Students using the Random Forest Algorithm Gunawan, Puguh Hasta; Paputungan, Irving Vitra
Sistemasi: Jurnal Sistem Informasi Vol 14, No 5 (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

Abstract

Detecting students’ graduation potential is commonly performed by evaluating various academic and non-academic factors. This study aims to develop a predictive model for student graduation from the beginning of their academic journey, utilizing high school academic data such as grades, attendance, study hours, as well as demographic and social factors. The goal is to enable universities to identify students who are at risk of delayed graduation. With accurate predictions, institutions are expected to design more targeted academic interventions, such as tutoring, counseling, or other forms of academic support. A total of 396 student records were used in this study and processed through a series of preprocessing steps, including the removal of irrelevant data and the encoding of categorical variables. The model was developed using the Random Forest algorithm with parameters set to max_depth = 15 and random_state = 42. Model performance was evaluated using accuracy, recall, F1-score, and the ROC curve. The results show that the model achieved an accuracy of 89%, with the Pass class having a recall of 87% and an F1-score of 91%, and the Fail class showing a recall of 92% and an F1-score of 84%. Additionally, the Area Under the Curve (AUC) value of 0.94 indicates excellent model performance in distinguishing between students likely to graduate and those at risk of not graduating. This study confirms that the model is effective in classifying graduation outcomes based on early academic data. For further development, it is recommended to include additional variables such as psychological factors, learning motivation, and socioeconomic conditions. Moreover, tuning the model by adding other parameters—such as n_estimators, min_samples_split, and max_features—is suggested to improve the model’s accuracy and generalizability.
Co-Authors Ahmad Luthfi Alfian, Lutfi Alhamid, Fahira Alraimi, Dheya Ali Qasem Ariansyah, Doddy Arkanudin, Muhammad Aqil Asyhar, Alfan Nur Asyhar, Alfian N Beni Suranto Dewa, Chandra Kusuma diana, ros Dirgahayu, Raden Teduh Dwitama, Ridzky Putra Dwiyanto, Nova Effendy, Rani Asriya Erwin Erwin Gunawan, Puguh Hasta Ibdafa, Ghifari Adib Irawan, Aditya Putra Karimah Opralia, Husnun Lombu, Anas Satria Matswaya, Rabby Ahsan Muhammad, Irfan Rizq Dzaky Mustofa, Muhammad Rizqy Nugraha, Ivan Aditya Olilingo, Fadhilah Linti Perjalanan, Rahmat Ramadhan, Hafidh Adiyatma Setiaji, Hari Utomo, Seno Praditya Wijayanto, Feri