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All Journal Majalah Forum Teknik UGM Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Proceedings of KNASTIK Jurnal Buana Informatika TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik JUTI: Jurnal Ilmiah Teknologi Informasi Journal of Telematics and Informatics Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Kursor Telematika : Jurnal Informatika dan Teknologi Informasi Prosiding Semnastek International Journal of Advances in Intelligent Informatics Seminar Nasional Informatika (SEMNASIF) POSITIF JOURNAL OF INFORMATICS AND COMPUTER SCIENCE Register: Jurnal Ilmiah Teknologi Sistem Informasi Jurnal IPTEK-KOM (Jurnal Ilmu Pengetahuan dan Teknologi Komunikasi) Prosiding Seminar Nasional INDOCOMPAC Bulletin of Electrical Engineering and Informatics Proceeding of the Electrical Engineering Computer Science and Informatics Prosiding 2nd Seminar Nasional IPTEK Terapan (SENIT) 2017 Edu Komputika Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Masyarakat Telematika Dan Informasi : Jurnal Penelitian Teknologi Informasi dan Komunikasi JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Jurnal Ipteks Terapan JURNAL TEKNIK IJITEE (International Journal of Information Technology and Electrical Engineering) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Ketenagakerjaan pendidikan, science, teknologi, dan ekonomi Jurnal Nasional Teknik Elektro dan Teknologi Informasi Journal of Governance and Social Policy Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Jurnal INFOTEL
Paulus Insap Santosa
Departemen Teknik Elektro Dan Teknologi Informasi, Fakultas Teknik Universitas Gadjah Mada
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Social Sciences Transportation

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Usability Testing for E-commerce Taxpayers in the era of Industrial Revolution 4.0 Prasetyanti, Dhyan Kurnia; Santosa, Paulus Insap; Winarno, Wing Wahyu
Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Vol. 3 No. 1 (2019): PROSIDING SEMNAS INOTEK Ke-III Tahun 2019
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/inotek.v3i1.510

Abstract

Pada perkembangan revolusi industri 4.0 Indonesia juga perlu mempertimbangkan penghasilan pajak di masa depan dari pembayar pajak e-commerce. Laporan pajak online (e-filing) di Indonesia telah disosialisasikan dan digunakan sejak tahun 2015. Tujuan penulisan artikel ini adalah untuk mengetahui seberapa banyak pengguna e- commerce yang menggunakan e-filing untuk pelaporan pajak dan berbagai permasalahan terkait peraturan pajak. Metode penelitian menggunakan tinjauan pustaka dari penelitian sebelumnya serta sampling terhadap pengguna e- Filing dari pembayar pajak e-commerce yang diimplementasikan dalam bentuk kuesioner kemudian dianalisis menggunakan metode SUS (System Usability Score). Hasil dari penelitian ini adalah 63,17 menunjukkan bahwa menggunakan e-Filing adalah maginal tinggi. Banyak responden mengalami kesulitan dalam menggunakan e-filing sehingga mereka membutuhkan bantuan petugas pajak untuk mempelajari lebih lanjut tentang e-filing. Nilai tertinggi adalah 70 berarti e-filing dapat digunakan dan yang terendah adalah 47,5 berarti responden diperlukan membantu petugas pajak untuk menggunakannya. Hal ini dapat disimpulkan bahwa penggunaan terhadap e-filing masih belum maksimal dan perlu adanya bantuan dari petugas pajak untuk informasi mengenai cara pengisian e-filing, serta aturan pajak yang digunakan untuk pengguna e-commerce perlu disosialisasikan oleh pemerintah karena mereka adalah bidang bisnis baru di masa depan.
Identifikasi User Requirement dan Fitur Utilities LMS Open Source pada Pelatihan Masyarakat Pedesaan Susilo, Eko Budi; Santoso, P. Insap; Hartanto, Rudy
Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Vol. 3 No. 1 (2019): PROSIDING SEMNAS INOTEK Ke-III Tahun 2019
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/inotek.v3i1.515

Abstract

Penelitian ini bertujuan untuk mengetahui User Requirement dan ketersediaan Fitur Utilities LMS (Learning Management System) pada proses bisnis pelatihan masyarakat pedesaan. Pelatihan masyarakat pedesaan merupakan pelatihan yang melibatkan peserta pelatihan dari wilayah administratif penduduk desa yang beraktivitas sebagai pegiat pemberdayaan desa dan memiliki keterbatasan dalam pengetahuan teknologi digital. Perbedaan karakteristik pada proses bisnis pembelajaran dan mempertimbangkan karakteristik pengguna dengan keterbatasan pengetahuan teknologi digital maka hal tersebut menjadi penentu dalam pemilihan dan pengembangan LMS yang tepat untuk menyelesaikan masalah. Metode yang digunakan dalam penelitian ini menggunakan pendekatan survey dengan wawancara dan studi literatur. Penelusuran proses bisnis pelatihan dan pengidentifikasian kebutuhan pengguna (user requirement) didasarkan pada teori UCD (User Centered Design). Sedangkan penelusuran Fitur Utilities dilakukan dengan studi literature pada penelitian hasil evaluasi komparasi LMS yang dilakukan sebelumnya. Hasil identifikasi user requirement dan Fitur Utilities dapat diambil irisan antara keduanya sehingga hal tersebut menyimpulkan bahwa platform LMS Moodle sangat memungknkan untuk digunakan.
USER STORY SOFTWARE ESTIMATION:A SIMPLIFICATION OF SOFTWARE ESTIMATION MODEL WITH DISTRIBUTED EXTREME PROGRAMMING ESTIMATION TECHNIQUE Ridi Ferdiana; Paulus Insap Santoso; Lukito Edi Nugroho; Ahmad Ashari
JUTI: Jurnal Ilmiah Teknologi Informasi Vol 9, No 1, Januari 2011
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (287.5 KB) | DOI: 10.12962/j24068535.v9i1.a67

Abstract

Software estimation is an area of software engineering concerned with the identification, classification and measurement of features of software that affect the cost of developing and sustaining computer programs [19]. Measuring the software through software estimation has purpose to know the complexity of the software, estimate the human resources, and get better visibility of execution and process model. There is a lot of software estimation that work sufficiently in certain conditions or step in software engineering for example measuring line of codes, function point, COCOMO, or use case points. This paper proposes another estimation technique called Distributed eXtreme Programming Estimation (DXP Estimation). DXP estimation provides a basic technique for the team that using eXtreme Programming method in onsite or distributed development. According to writer knowledge this is a first estimation technique that applied into agile method in eXtreme Programming.
PROTOTIPE KANTIN TANPA UANG BERBASIS KARTU PINTAR Paulus Insap Santosa
JUTI: Jurnal Ilmiah Teknologi Informasi Vol 8, No 1, Januari 2010
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (729.687 KB) | DOI: 10.12962/j24068535.v8i1.a72

Abstract

This paper presents a desktop application prototype that uses smart cards for payment mode without cash transaction at a canteen. Smart cards, used for authentication, are also designed to have information of cash balance and some personal data of card holders. Application developed is still a prototype that has not connected into the banking system to refill the balance into the smart card. This prototype is a desktop application. Features that have been successfully developed and run well in these applications include food settings, user settings, and reports sales per period.
Explainable machine learning with class balancing for predicting student academic performance Zamtinah Zamtinah; Rianto Rianto; Paulus Insap Santosa
International Journal of Advances in Intelligent Informatics Vol 12, No 3 (2026): August 2026
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v12i3.2379

Abstract

Accurate prediction of student academic performance is crucial for implementing effective early intervention strategies in higher education. However, existing models often struggle with class imbalance and lack interpretability, limiting their practical adoption. This methodological proof-of-concept develops a robust predictiveframework by benchmarking multiple machine learning algorithms, specifically Logistic Regression, Decision Tree, and the standard Random Forest, against a proposed Random Forest classifier with class balancing. Utilizing a public simulation dataset of 2,392 student records, the proposed model incorporates algorithmic penalties for misclassifications of the minority class to address data skewness. Experimental results demonstrate that this balanced approach significantly outperforms the linear and standard tree-based baselines, achieving an Accuracy of 92.3% and an F1 Macro score of 0.872. The results confirm the model's superior capability in identifying at-risk students without compromising overall precision. Furthermore, explainability analysis using SHAP (Shapley Additive exPlanations) identifies Grade Point Average (GPA) as the dominant predictor, while highlighting Absences and Weekly Study Time as critical behavioral leading indicators. These findings demonstrate that integrating predictive accuracy with explainable AI supports proactive and evidence-based academic governance. Future research is recommended to validate this framework using longitudinal data streams within Learning Management Systems, enabling real-time monitoring.
Co-Authors Abdul Kadir Abraham, Firda Zulivia Adhistya Erna Permanasari Afrialdi Syahputra Ahmad Ashari Andi Sudiarso Sudiarso Andre Firmansyah Anik Budiati Anna Maria Sri Asih Arif Budi Setiawan Azty Acbarrifha Nour Baptista Sousa Pinto, Carlos Alberta Bimo Sunarfri Hantono Carlos Alberta Baptista Sousa Pinto Carlos Sousa Pinto Dadang Iskandar Dadang Iskandar, Dadang Dania Eridani Dania Eridani Daniel Kasse Desi Windi Sari Dhias Muhammad Naufal Diana Aristiawan Setyo Wibowo Dirko G. S. Ruindungan Eko Budi Susilo, Eko Budi Eko Nugroho Eko Nugroho El Vionna Laellyn Nurul Fatich Elfrida Ratnawati Faiqunisa Faiqunisa Fathahillah Fathahillah Fitria, Elfa Fransisca Julia Kusuma Deviyanti Giovanni Yoko Kristianto Hera Susanti Herlina Jayadianti Ika Aprilia H.N Indriana Hidayah Irma Yuliana Juni Nurma Sari Juwairiah Juwairiah Kharis Kharis Lukito Edi Nugroho Mahendra, Yhony Agus Setya Maksum Ro’is Adin Saf Monica Agustami Kristy Mudar Safi Muhamad Risqi Utama Saputra Muhammad Nur Budiyanto Noor Akhmad Setiawan Nova Suparmanto Nugroho, Wirawan Arief Pangondian, Roman Andrianto Prajna Deshanta Ibnugraha Prasetyanti, Dhyan Kurnia Puguh Prasetya Utomo Rianto Rianto Ridi Ferdiana Rina Yulius Riyanto Riyanto Rudy Hartanto Saf, Maksum Ro’is Adin Safi, Mudar Sanny Hikmawati Silmi Fauziati Silmi Fauziati Sri Suning Kusumawardani Sujoko Sumaryono Sulistyohati, Aprilia Teguh Baharto Aji Umi Proboyekti Vieka Aprilya Intanny Vieka Aprilya Intanny, Vieka Aprilya Wahyu Widayat Wahyu Widayat Wahyu Widayat Wahyu Widayat Widayat, Wahyu Widyadarma, Arif Widyawan Wing Wahyu W Wing Wahyu Winarno Yas Ahmad Adha Yhony Agus Setya Mahendra Yulianto, Dinan Zalfie Ardian Zamtinah Zamtinah