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All Journal JUSIFO : Jurnal Sistem Informasi Sistemasi: Jurnal Sistem Informasi JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JOURNAL OF APPLIED INFORMATICS AND COMPUTING Technomedia Journal Jurnal Sistem Cerdas JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) CCIT (Creative Communication and Innovative Technology) Journal Journal of Social Science Jurnal Teknik Informatika (JUTIF) Naratif : Jurnal Nasional Riset, Aplikasi dan Teknik Informatika Jurnal Algoritma Journal of Social Science IWJ : Inland Waterways Journal ITIJ The Indonesian Journal of Computer Science Indonesia Berdampak: Jurnal Pengabdian Kepada Masyarakat
Nouval Trezandy Lapatta
Universitas Tadulako
Religion Humanities Automotive Engineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Physics Social Sciences Transportation Other

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Analysis and Design of Food Price Data Processing Information System Priska, Salsa Dilah; Syahrullah, Syahrullah; Nugraha, Deny Wiria; Lapatta, Nouval Trezandy; Lamasitudju, Chairunnisa Ar
CCIT (Creative Communication and Innovative Technology) Journal Vol 19 No 1 (2026): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v19i1.3904

Abstract

Food prices have an important role in maintaining economic stability and public welfare, as price fluctuations can have a direct impact on purchasing power and inflation. The manual process of recording and reporting food price data at the Department of Agriculture and Food Security of Palu City leads to inefficiencies, data inaccuracies, and difficulties in tracking historical information. These limitations highlight the need for a structured system that can support accurate and efficient data management. This study applies a prototyping method to develop a web-based information system tailored to the needs of the institution. The development process involves continuous interaction between users and developers to ensure the system meets practical requirements. Data were collected through interviews, observations, and documentation. System functionality was tested using black box testing, while usability was assessed using the System Usability Scale (SUS) questionnaire. The results indicate that the system's features, including daily price input, automatic average calculations, report submission, and approval workflows, function correctly. Users are able to interact with the system efficiently, and the SUS results show that the system falls into the acceptable usability category, indicating that it is easy to use. In conclusion, the development of this web-based information system improves the efficiency and accuracy of food price data processing and reporting. It provides a reliable tool for managing information within the department and supports better operational performance.
Evaluating IT Service Capability of Palu BPS Website Using COBIT 5 Framework Ningsih, Alief Surya; Lapatta, Nouval Trezandy; Laila, Rahmah; Kasim, Anita Ahmad; Joefrie, Yuri Yudhaswana; Anshori, Yusuf
CCIT (Creative Communication and Innovative Technology) Journal Vol 19 No 1 (2026): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v19i1.3909

Abstract

This research assesses the IT service capability of the official website of the Palu City Central Bureau of Statistics (BPS) by applying the COBIT 5 framework. The assessment is centered on four key processes from the Deliver, Service, and Support (DSS) as well as Monitor, Evaluate, and Assess (MEA) domains—namely DSS01 (Manage Operations), DSS02 (Manage Service Requests and Incidents), DSS06 (Manage Business Process Controls), and MEA01 (Monitor, Evaluate, and Assess Performance and Conformance). Data were collected through structured interviews, observation sessions with website administrators, and an analysis of supporting documents to determine the current capability levels and compare them with the desired target level of 3. The results show that DSS01 and MEA01 have reached capability level 2, indicating that the processes are defined but not consistently standardized. Meanwhile, DSS02 and DSS06 remain at level 1, indicating reactive operations with limited documentation. The average capability level of 1.5 suggests that there is room for significant improvement in terms of documentation, process formalization, and the use of enabling technologies. Based on these findings, this study recommends targeted improvements to enhance the overall performance and reliability of digital public services, as well as to support better IT governance and e-government practices.
Implementation of ResNet-50-Based Convolutional Neural Network For Mobile Skin Cancer Classification Asriani, Asriani; Lapatta, Nouval Trezandy; Nugraha, Deny Wiria; Amriana, Amriana; Wirdayanti, Wirdayanti
Journal of Applied Informatics and Computing Vol. 9 No. 4 (2025): August 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i4.9696

Abstract

The skin is one of the most important parts of the human body, serving vital functions such as protecting internal organs from injury, shielding against direct bacterial exposure, regulating body temperature, and more. However, the skin is also susceptible to diseases, one of which is skin cancer. Skin cancer can be extremely dangerous if not treated promptly, as it can lead to death. Therefore, early detection is crucial. This study proposes a technology-based solution by classifying skin cancer using a convolutional neural network (CNN) with a ResNet50 architecture implemented into a mobile application via a REST API using Flask. The HAM10000 dataset, consisting of 10,015 skin lesion images across seven classes, was used for model training. Various testing scenarios were conducted to determine the optimal parameter combination. The best results were achieved with an accuracy of 83.84%, precision and recall of 83%, and an F1-score of 83%, using a training data configuration of 70%, dropout of 0.4, and a batch size of 64. The model implemented in this Android application can perform early detection of skin cancer quickly, practically, and easily accessible to the general public, though healthcare professionals must still supervise it. However, although this model can assist users in making early predictions, the prediction results from this model are only a tool for early detection and do not replace clinical diagnosis by professional medical personnel.2) Figure 8 shows the display for taking pictures through the gallery or camera. Users can choose the image they want to upload from the gallery or the camera to be analysed and predicted by the model.
RANCANG BANGUN SISTEM MANAJEMEN PEMBELAJARAN ASEAN CENTRE FOR ENERGY MENGGUNAKAN METODE EXTREME PROGRAMMING Faldiansyah, Faldiansyah; Laila, Rahmah; Syahrullah, Syahrullah; Lapatta, Nouval Trezandy; Pratama, Septiano Anggun
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 3 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i3.6377

Abstract

ASEAN Centre for Energy (ACE) adalah lembaga antar-pemerintah yang mewakili 10 negara ASEAN dalam sektor energi. ACE berperan penting dalam merancang kebijakan kawasan energi untuk mendukung pertumbuhan ekonomi berkelanjutan dan menjaga lingkungan. Meskipun menyediakan sumber daya dan sertifikasi internasional, ACE belum memiliki sistem yang efektif untuk mengelola pembelajaran dan sertifikasi. Untuk mengatasi hal tersebut ACE berupaya mengembangkan sebuah platform Learning Management System (LMS) untuk mendukung pembelajaran dan sertifikasi dalam sektor energi di kawasan ASEAN. Penelitian ini menggunakan metode Extreme Programming (XP) yang melibatkan tahapan perencanaan, perancangan wireframe dan Entity Relationship Diagram (ERD), pengkodean dengan teknologi seperti Next.js, PostgreSQL, Django, dan Node.js, serta pengujian dengan metode Blackbox Testing dan User Acceptance Testing (UAT). Hasil penelitian menunjukkan bahwa platform LMS yang dikembangkan memenuhi ekspektasi pengguna dengan tingkat kepuasan mencapai 92,43%. Integrasi PayPal sebagai payment gateway telah memberikan kontribusi signifikan terhadap keamanan dan kemudahan transaksi keuangan, memungkinkan pembayaran lintas negara dengan efisien dan aman. Platform ini tidak hanya memfasilitasi akses ke materi pembelajaran dan kursus sertifikasi, tetapi juga mendukung interaksi antar siswa dan menyediakan informasi terbaru mengenai acara yang diselenggarakan oleh ACE. Diharapkan dengan sistem ini ACE lebih efektif dalam mendukung pengembangan kompetensi di sektor energi serta memperkuat kolaborasi regional di kawasan ASEAN.
IMPLEMENTASI PEMBOBOTAN TF-IDF PADA CHATBOT TELEGRAM UNTUK SISTEM LAYANAN INFORMASI Maulana, Muhammad Syahputra; Anshori, Yusuf; Azhar, Ryfial; Laila, Rahma; Lapatta, Nouval Trezandy
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 10, No 3 (2025)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v10i3.6314

Abstract

Chatbot populer dalam interaksi manusia-mesin dan efektif dalam layanan pelanggan, bantuan pengguna, dan pengelolaan informasi. Pengembangannya meliputi pengumpulan data pertanyaan, pem-rosesan teks, dan penerapan algoritma TF-IDF untuk mengekstrak in-formasi relevan dari dataset. Penelitian ini mengkaji penerapan algo-ritma TF-IDF pada chatbot Telegram menggunakan dataset yang terdiri dari 94 dokumen dan 300 data uji. Hasil penelitian menunjuk-kan bahwa algoritma TF-IDF menghasilkan 268 respons yang relevan dan akurat, 12 respons yang tidak relevan namun tetap diberikan, dan 32 respons yang seharusnya relevan tetapi tidak ditemukan. Penggunaan algoritma TF-IDF, yang memberikan pembobotan pada kata-kata berdasarkan pentingnya dalam dokumen, menunjukkan akurasi yang cukup baik. Hasil ini didukung oleh pengujian relevansi menggunakan metrik umum dalam bidang information retrieval, yang menghasilkan nilai precision sebesar 95,71%, recall sebesar 89,33%, dan F1-Score sebesar 92,4%. Dengan nilai-nilai tersebut, kinerja chat-bot Telegram dinilai sangat baik dalam memberikan respons.
Implementasi Smart Housing Services Akses Hunian Berkualitas Melalui Teknologi Digital Hernita, Ayu; Nouval Trezandy Lapatta; Sri Khaerawati Nur; Deny Wiria Nugraha
Indonesia Berdampak: Jurnal Pengabdian kepada Masyarakat Vol. 1 No. 2 (2025): JULI-DESEMBER
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/0r4aa406

Abstract

Transformasi digital dalam layanan publik menjadi salah satu prioritas dalam meningkatkan efisiensi dan aksesibilitas pelayanan kepada masyarakat, termasuk dalam sektor perumahan. Salah satu solusi inovatif adalah penerapan Smart Housing Services, yaitu sistem layanan digital yang memungkinkan masyarakat mengakses informasi, bantuan, dan fasilitas perumahan secara daring. Namun, pemahaman dan kesiapan instansi pemerintah daerah dalam mengimplementasikan layanan ini masih perlu ditingkatkan. Pengabdian kepada masyarakat ini bertujuan untuk memberikan sosialisasi dan pelatihan mengenai pemanfaatan Smart Housing Services kepada pegawai Dinas Komunikasi dan Informatika Kabupaten Parigi Moutong. Kegiatan ini dilaksanakan dalam bentuk pelatihan satu hari yang mencakup pengenalan konsep layanan perumahan digital, simulasi penggunaan sistem, serta pembuatan media sosialisasi visual berupa infografis dan poster. Peserta juga dibekali dengan modul dan template yang dapat digunakan kembali untuk kegiatan penyebaran informasi kepada masyarakat. Metode pelaksanaan meliputi tahapan persiapan, penyampaian materi, praktik langsung, dan evaluasi hasil. Hasil kegiatan menunjukkan peningkatan pemahaman peserta terhadap konsep Smart Housing Services sebesar 85%, berdasarkan hasil pre-test dan post-test. Selain itu, peserta berhasil menghasilkan media edukatif sederhana yang dapat mendukung upaya literasi digital di bidang layanan perumahan. Kegiatan ini diharapkan menjadi kontribusi awal dalam mendukung perluasan akses hunian berkualitas berbasis teknologi, serta memperkuat peran Dinas Kominfo sebagai motor penggerak transformasi digital di daerah.
Bahasa Inggris Abdillah Sani, Ilham; Lapatta, Nouval Trezandy; Ngemba, Hajra Rasmita; Fahlevi, Mohammad Fazrin
The Indonesian Journal of Computer Science Vol. 13 No. 4 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i4.4307

Abstract

Implementing a digital-based hazardous work licensing management system at PT Citra Palu Minerals is intended to enhance the efficiency and transparency of the work permit process. The research methodology involves a qualitative approach, Agile methodology system development, and integration with WhatsApp for notifications. The research findings indicate that this system simplifies the submission, approval, and monitoring of work permits in a structured manner, thereby reducing the risk of work accidents. Black box testing demonstrates that the system's performance meets expectations, while the questionnaire results indicate a high level of user satisfaction with an average score of 4.3 out of 5. Implementing this system can serve as a model for enhancing occupational safety and health management in similar industries.
TWITTER (X) SENTIMENT ANALYSIS OF KAMPUS MERDEKA PROGRAM USING SUPPORT VECTOR MACHINE ALGORITHM AND SELECTION FEATURE CHI-SQUARE Sari, Mutiara; Syahrullah, Syahrullah; Lapatta, Nouval Trezandy; Ardiansyah, Rizka
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 5 (2024): JUTIF Volume 5, Number 5, Oktober 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.5.2037

Abstract

Ministry of Education, Culture, Research and Technology (Kemendikbudristek) has implemented numerous policies aimed at enhancing the quality of education in the country. One of these policies is Kampus Merdeka program. The program includes various initiatives such as Teaching Campus, the Merdeka Student Exchange program, and Internship and Independent Study programs, which have gained significant popularity among students across Indonesia. However, the Kampus Merdeka program has drawn many pros and cons, with some parties supporting the initiative, but also many criticisms related to its implementation, which is considered not optimal in some educational institutions. Social media is where many of these opinions are voiced, one of the most widely used of which is twitter. In light of these circumstances, this study conducted a sentiment analysis of the independent campus program to assess public sentiment towards it. The dataset used in this research consisted of 500 tweets containing the keyword "kampus merdeka" with 250 tweets reflecting positive sentiment and 250 tweets reflecting negative sentiment. The results of the tests carried out obtained the highest increase in results in the 10:90 ratio, namely with an accuracy that increased by 14% from the previous 66% to 80%, precision also increased by 22% from the previous 67% to 89%, recall increased by 16% from the previous 58% to 79%, and the f1-score value which was previously 62% turned into 79% because it also increased by 17%.
Predicting Potential Car Buyers using Logistic Regression Algorithm Lapatta, Nouval Trezandy; Husin, Abdullah
Sistemasi: Jurnal Sistem Informasi Vol 13, No 3 (2024): 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.v13i3.4068

Abstract

This research aims to develop a predictive model to identify individuals with a high potential to become car buyers, employing logistic regression algorithm. The primary objective is to support the automotive industry in devising more efficient and focused marketing strategies. The choice of logistic regression is based on its superiority in handling categorical dependent variables and its practicality in result interpretation. The data processed in this study derive from demographic information, consumption habits, brand preferences, and various other factors that influence car buying decisions. The main data source is the outcome of online surveys participated in by individuals predicted to have the potential to buy a car within the next 12 months. The analysis results indicate that factors such as income, age, previous vehicle ownership status, gender and marriage status play significant roles in predicting the likelihood of someone becoming a car buyer. The developed model achieved an accuracy and precision of 95%, proving its significant capability in identifying potential car buyers with a high success rate. These findings provide valuable insights for the automotive industry in formulating more targeted and efficient marketing strategies, as well as contributing to the academic literature on the application of logistic regression in consumer behavior prediction.
Usability and User Experience Evaluation on Extracurricular Website (SINEMA) Implementation using SUS and UEQ Methods Wirdayanti; AKBAR, MUHAMMAD; Sabarudin Saputra; Deni Luvi Jayanto; Sri Khaerawati Nur; Nouval Trezandy; Bakri
Information Technology International Journal Vol. 3 No. 2 (2025): Information Technology International Journal
Publisher : Magister Teknologi Informasi UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/itij.v3i2.57

Abstract

The rapid integration of web-based platforms in higher education highlights the importance of usability and user experience in supporting students’ extracurricular activities. This study evaluates the usability and user experience of the Student Extracurricular Information System (SINEMA) developed at Tadulako University. A total of 99 respondents participated, selected from a population of 5,581 active users through Slovin’s formula. Two standardized instruments were applied: the System Usability Scale (SUS) to capture global usability perceptions and the User Experience Questionnaire (UEQ) to assess six dimensions of user experience. The SUS results indicate a mean score of 76.06, which falls within Grade B and the “Good” category, exceeding the global benchmark. This suggests that the system is generally usable, although certain respondents reported minor challenges requiring further improvement. The UEQ results show that Perspicuity (1.94), Dependability (1.94), and Stimulation (1.93) achieved the “Excellent” category, reflecting clarity, reliability, and engagement. Meanwhile, Attractiveness (1.65), Efficiency (1.58), and Novelty (1.72) were rated “Good,” highlighting positive perceptions but also opportunities for optimization. Overall, the findings demonstrate that SINEMA effectively supports extracurricular management with satisfactory usability and strong user experience. The study contributes novelty by integrating SUS and UEQ for comprehensive evaluation within a higher education extracurricular context. Recommendations include enhancing efficiency and novelty to elevate user satisfaction and system adoption.
Co-Authors ., Rezki Abdillah Sani, Ilham Abdul Mahatir Najar Abdullah Abdullah Adhira Putri, Dhivanny Agung Stiven Cahyati Angely Ain, Moch. Zukhruf Amriana Amriana Andhyka, Andhyka Andi Hendra Andi Hendra Angraeni, Dwi Shinta Anita Ahmad Kasim Anita, Ayu Arsita, Tiara Juli Asriani Asriani, Asriani Ayu Hernita Bakri Chairunnisa Ar. Lamasitudju Chandra, Ferri Rama Darojah, Murtafiatun Delia, Fenita Deni Luvi Jayanto Deny Wiria Nugraha Djohari, Riyandi Dwitama Dwi Shinta Angreni Dwimanhendra, Muhammad Rifaldi Fahlevi, Mohammad Fazrin Fajar, Moh Fajriyah, Nurul Faldiansyah, Faldiansyah Firzatullah, Raden Muhamad Hajra Rasmita Ngemba Hamid, Odai Amer Hanama, Ikhsan Wahyudin Ihalauw, Sahron Angelina Ihwan, Abib Raifmuaffah Karnita Sumbaluwu, Harlin Feby Kartika, Rina Laila, Rahma Lamadjido, Moh. Raihan Dirga Putra Lamasitudju, Chairunnisa Mandra Maulana, Muhammad Syahputra Mohamad Irfan, Mohamad Mohammad Yazdi Pusadan Muhammad Akbar Muhammad Akbar Mutiara Sari Ngemba, Hajra Ningsih, Alief Surya Noviantika, Noviantika Pagiu, Harry T. Priska, Salsa Dilah Qofifa, Sitti Nurlaili Rahmah Laila Rasmita Ngemba, Hajra Rasmita, Hajra Rinianty, Rinianty Rizka Ardiansyah Rizky, Moh Taufiq Ryfial Azhar Ryfial Azhar, Ryfial Saada, Rahmadian A. Sabarudin Saputra Septiano Anggun Pratama Setiawan, Dita Widayanti Siti Rahmawati Sri Khaerawati Nur Sukirman Sukirman Syahrullah Syahrullah Syahrullah Syaiful Hendra Wirdayanti Wiria Nugraha, Denny Wongkar, Noel Marcell Jonathan Yanti, Wirda Yudhaswana, Yuri Yuri Yudhaswana Joefrie Yusuf Anshori Zulkifli Zulkifli