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All Journal Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Jurnal Teknik Mesin, Industri, Elektro dan Informatika Jurnal Penelitian Rumpun Ilmu Teknik Journal Of Informatics And Busisnes Atmosfer: Jurnal Pendidikan, Bahasa, Sastra, Seni, Budaya, Dan Sosial Humaniora JTH: Journal of Technology and Health Modem : Jurnal Informatika dan Sains Teknologi Polygon: Jurnal Ilmu Komputer dan Ilmu Pengetahuan Alam Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Mars: Jurnal Teknik Mesin, Industri, Elektro dan Ilmu Komputer Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika
Lidia Lali Momo
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Religion Arts Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Medicine & Pharmacology Nursing

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Sistem Informasi Pendaftaran Anggota Baru Pada Koperasi Credit Union Mera Ndi Ate Berbasis Web Damaris Sesi Milla; Elfira Umar; Lidia Lali Momo
Journal Of Informatics And Busisnes Vol. 2 No. 3 (2024): Oktober - Desember
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jibs.v2i3.1687

Abstract

Koperasi Simpan Pinjam CU Mera Ndi Ate merupakan badan usaha yang dibangun untuk pertumbuhan dan kesejahteraan masyarakat. Namun koperasi ini mempunyai sistem yang tidak efektif dalam proses pendaftaran anggota baru dan pengajuan pinjaman sehingga memakan waktu lebih lama. Dengan permasalahan tersebut maka diperlukan sistem kooperatif berbasis Web untuk menganalisa permasalahan yang terjadi. Sistem kerjasama ini dirancang dengan Unified Modeling Language sebagai metode diimplementasikan ke dalam Database sesuai spesifikasi yang dibutuhkan sehingga sistem yang dibuat lebih mudah, tepat dan cepat bagi petugas administrasi dalam menginput registrasi. anggota baru dan melaporkannya kepada ketua koperasi.
Penerapan Sistem Rekomendasi Produk pada Marketplace Menggunakan Metode Colaborative Filtering Petrus J. Darus; Vinsensius Aprila Kore Dima; Lidia Lali Momo
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 3 No. 5 (2025): Oktober: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v3i5.1094

Abstract

The rapid development of digital technology has significantly transformed commercial activities, particularly through the emergence of marketplaces as platforms for online transactions. The vast number of products available in a marketplace often creates difficulties for users in finding items that suit their needs and preferences. To address this challenge, a recommendation system is required to provide personalized and relevant product suggestions. This study discusses the implementation of a product recommendation system in a marketplace using the Collaborative Filtering method. This method works by leveraging information from users’ previous behavior, such as purchase history, ratings, and similarity of preferences with other users, to generate more accurate product recommendations. The Collaborative Filtering approach has proven effective in identifying user preference patterns based on relationships between users as well as between items. This study employs user interaction data such as ratings and shopping activities as the processing foundation. The process involves data collection, preprocessing, calculation of similarity between users or products, and generating recommendation lists. The results indicate that this method enhances the shopping experience by providing relevant product suggestions tailored to user interests, thereby increasing customer satisfaction and potentially improving sales performance in the marketplace. Thus, the application of a Collaborative Filtering-based recommendation system not only simplifies product discovery for users but also offers strategic advantages for marketplace operators in digital business competition
Korelasi Antara Kemandirian Dan Motivasi Belajar Dengan Prestasi Belajar Siswa SMA Maria Wilda Malo; Lidia Lali Momo
Atmosfer: Jurnal Pendidikan, Bahasa, Sastra, Seni, Budaya, dan Sosial Humaniora Vol. 2 No. 3 (2024): Agustus : Jurnal Pendidikan, Bahasa, Sastra, Seni, Budaya, dan Sosial Humaniora
Publisher : Universitas Palangka Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59024/atmosfer.v2i3.931

Abstract

This research aims to know the corelation between indepndent learning with achievement of learning math, the corelation between learning motivation with achievement of learning math, and corelation between independent learning and learning motivation with students’ achievement of learning math class XI in SMA Katolik Waikabubak. This research uses quantitative approach. The population of this research is the students of class XI SMA Katolik Waikabubak totally 132 students. Sampling technique uses by Slovin pattern and 99 students are choosen. The data collecting by questionaire. Hypothesis test uses product moment of corelation test for first hypothesis and the second, meanwhile for the third hypothesis by multiple regresion test. The instrument of validity test uses person’s product moment of corelation and the realibity tes uses Alpha Cronbach. Analysis tes for normality and linearity test apply Kolmogrov-Kmirnov. The result of this investigation, shows that: 1) there is no corelation between independent learning with students’ achievement of learning math, 2) there is corelation between learning motivation with students’ achievement of learning math, 3) there is corelation of independent learning and learning motivation from students with students’ achievement of learning math
ANALYSIS OF PUBLIC SENTIMENT TOWARDS VILLAGE OFFICIALS IN DISTRIBUTION OF SOCIAL ASSISTANCE TO THE COMMUNITY Indriani Diana Baga; Gergorius Kopong Pati; Lidia Lali Momo
JTH: Journal of Technology and Health Vol. 2 No. 2 (2024): October: JTH: Journal of Technology and Health
Publisher : CV. Fahr Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61677/jth.v2i2.90

Abstract

The analysis of public sentiment toward village officials in the distribution of social assistance is essential to evaluate the level of public satisfaction and the effectiveness of social programs. This study aims to analyze community sentiment using Natural Language Processing (NLP) and sentiment classification techniques with the Naive Bayes algorithm. The dataset consists of public comments collected from social media, forums, and online surveys. The results show that most public sentiment is negative, dominated by issues of injustice, delays, and lack of transparency in the distribution process. Meanwhile, some comments reflect positive and neutral sentiments, indicating satisfaction or opportunities for service improvement. The classification model achieved an accuracy rate of 84%, proving its effectiveness in sentiment-based policy evaluation. These findings are expected to help village officials improve service quality by increasing transparency and public trust.
Opini Masyarakat terhadap Infrastruktur Desa Malitidari Menggunakan Metode Unsupervised Learning pada Tools Orange Maria Liana Bili; Stefanus Dwi Istiavan Mau; Lidia Lali Momo
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 3 No. 4 (2025): Oktober : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v3i4.657

Abstract

Village infrastructure development plays an important role in improving community welfare. However, public opinion regarding the condition of infrastructure is often not analyzed comprehensively and based on data. This study aims to analyze public opinions toward infrastructure in Malitidari Village using the Unsupervised Learning method with the Orange application. The data were collected from public comments on social media and digital surveys, which were then processed in text format. The analysis process includes data preprocessing, tokenization, vectorization, and the application of a clustering algorithm to group opinions into several categories without prior labeling. The Orange application was used due to its ability to visualize data analysis workflows interactively and efficiently. The results of this study show that public opinions can be grouped into several main clusters: positive opinions related to the development of roads and public facilities, and negative opinions concerning delays and unequal quality of infrastructure. Based on these findings, the Unsupervised Learning method is proven effective in illustrating public perceptions of village infrastructure conditions. The results are expected to serve as a reference for the village government in planning and improving the quality of infrastructure development in Malitidari Village  
Pengembangan Sistem Informasi Pengusulan Pembuatan Karis dan Karsu Bagi ASN Berbasis Digital di Kantor BKPSDM Sumba Barat Daya Petrus Jois Ghunu; Vinsensius Aprila Kore Dima; Lidia Lali Momo
Uranus : Jurnal Ilmiah Teknik Elektro, Sains dan Informatika Vol. 3 No. 4 (2025): Desember : Uranus : Jurnal Ilmiah Teknik Elektro, Sains dan Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/uranus.v3i4.1161

Abstract

Administrative services for civil servants (ASN) play a crucial role in ensuring the rights and obligations of government employees. One of these services is the submission process for the Wife Card (KARIS) and Husband Card (KARSU), which serve as official proof of marital status for civil servants. At the BKPSDM of Sumba Barat Daya, the current submission process for KARIS and KARSU is still carried out manually by filling out paper forms and attaching physical documents. This manual method is time-consuming, prone to data errors, and complicates the monitoring process. Therefore, this study aims to develop a digital information system to simplify the submission, verification, and issuance process of KARIS and KARSU online. This research applies a Research and Development (R&D) approach using the Waterfall model, consisting of requirement analysis, system design, implementation, testing, and evaluation stages. The system is developed using the Python (Streamlit) programming framework and a SQLite3 database, designed to be easily accessible to both ASN users and BKPSDM officers through local networks or the internet. The results show that the developed system successfully reduces processing time by up to 60%, improves data accuracy by 90%, and significantly decreases the use of physical documents. The implementation of this digital information system makes the KARIS and KARSU administrative service more efficient, transparent, and accountable, supporting the ongoing digital transformation within the local government of Sumba Barat Daya Regency.
Penerapan Lumi H5P dalam Media Pembelajaran Matematika pada SDK PERO Menggunakan Metode MDLC Maria Imakulata Ina Talu; Stefanus Dwi Istiavan Mau; Lidia Lali Momo
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 3 No. 4 (2025): Oktober : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v3i4.671

Abstract

This research is entitled “Implementation of Lumi H5P in Mathematics Learning Media at SDK PERO Using the MDLC Method.” The aim of this research is to create a digital-based interactive learning medium designed to enhance students’ understanding of the subject matter. media that can help students understand mathematics lessons, particularly on the topics of whole numbers and multiples, in an engaging and easy-to-understand way. The approach applied in this research is the MDLC method.. Each stage was carried out systematically to produce an interactive and high-quality learning media. The learning media application was developed using LUMI H5P, which provides various interactive features such as text, images, videos, and interactive exercises in the form of single choice sets and drag-and-drop activities. The results of the study show that the implementation of Lumi H5P-based learning media can increase students’ learning interest and facilitate their understanding of the material. Moreover, the simple interface design and user-friendly features make this application effective for both classroom learning and independent study. Therefore, the implementation of Lumi H5P in mathematics learning The media can act as an innovative solution to promote a learning process that is more engaging and effective.
Co-Authors Adelbertus Umbu Janga Andreas Ariyanto Rangga Cecilia D. P. Binti Gabriel Damaris Sesi Milla Desi Yanti Kallu Pare Elfira Umar Gergorius Kopong Pati Herlina Yasinta Duki Indriani Diana Baga Maria Imakulata Ina Talu Maria Liana Bili Maria Wilda Malo Marselina Anjelina Nuhi Marten Sudi Petrus J. Darus Petrus Jois Ghunu Roswita Tanggu Sari, Julianti Suwartini Inda Sartini Poety Serlince Nono Stefanus Dwi Istiavan Mau Stevanus Mau Tarsisius Tamo Ama Vinsensius Aprila Kore Dima Yosua Pati