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All Journal International Journal Software Engineering and Computer Science (IJSECS) Jurnal Pengabdian Masyarakat : Pemberdayaan, Inovasi dan Perubahan INFORMATIKA Jurnal Teknik Mesin, Industri, Elektro dan Informatika Jurnal Penelitian Rumpun Ilmu Teknik JURNAL TEKNIK INFORMATIKA DAN KOMPUTER Jurnal Ilmu Komputer dan Informatika Jurnal Komputer, Informasi dan Teknologi
Maria Wilda Malo
Universitas Stella Maris Sumba
Religion Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Public Health Other

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Analisis Keterlambatan Siswa Kelas X SMKS Efata dalam Menguasai Teknologi Informasi dan Komunikasi (TIK) Ariance Renda Wano; Ardiyanto Dapadeda; Maria Wilda Malo
Jurnal Komputer, Informasi dan Teknologi Vol. 5 No. 2 (2025): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v5i2.3365

Abstract

Penelitian ini bertujuan untuk menganalisis faktor-faktor yang menyebabkan keterlambatan siswa kelas X SMKS Efata dalam menguasai Teknologi Informasi dan Komunikasi (TIK). Metode penelitian yang digunakan adalah deskriptif kuantitatif dengan pengumpulan data melalui kuesioner berisi 50 pernyataan skala Likert yang diberikan kepada 40 siswa. Hasil penelitian menunjukkan bahwa motivasi belajar (88,4%), ketersediaan fasilitas (81,2%), dukungan orang tua (78,7%), lingkungan belajar (85,8%), dan peran guru (94,6%) berada pada kategori tinggi hingga sangat tinggi. Namun, tingkat keterlambatan siswa dalam menguasai TIK berada pada kategori sedang (59,9%), menandakan bahwa kesiapan belajar belum merata sepenuhnya. Temuan ini menguatkan teori Kesiapan Belajar yang menyatakan bahwa keberhasilan belajar dipengaruhi oleh kesiapan fisik, mental, dan lingkungan belajar peserta didik. Penelitian ini diharapkan menjadi rujukan bagi sekolah dalam meningkatkan kesiapan belajar siswa.
Factors Affecting the Effectiveness of CBT Implementation in Student Learning Evaluation Using UTAUT: A Case Study at SMAS Katolik Sint Pieter Waikabubak Marlina Dama Lero; Ardiyanto Dapadeda; Maria Wilda Malo
International Journal Software Engineering and Computer Science (IJSECS) Vol. 6 No. 1 (2026): APRIL 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v6i1.6600

Abstract

This study examines the digital transition in the student learning evaluation system at SMA Katolik Sint Pieter Waikabubak through the adoption of a Computer-Based Test (CBT) application. Although CBT has been in use since 2023, persistent issues — including unstable internet connections and limited exam monitoring features — have raised legitimate questions regarding its operational effectiveness. This study aims to evaluate the effectiveness of CBT in student learning assessments and to identify the factors that shape students' behavioral intention to use the system. A quantitative approach grounded in the Unified Theory of Acceptance and Use of Technology (UTAUT) was applied. The findings demonstrate that CBT adoption has measurably improved the transparency and accuracy of learning evaluations. Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions each exert a statistically significant effect on students' intention to use CBT, with Perceived Usefulness emerging as the strongest predictor. Age and gender were found to moderate several of these relationships. The results indicate that adequate school infrastructure and an accessible application interface are decisive factors in the success of exam digitization. Schools are advised to continue strengthening their technical and physical support systems to sustain long-term adoption of this technology.
PEMANFAATAN DIGITALISASI PEMASARAN DALAM MENINGKATKAN DAYA SAING KAIN TENUN SUMBA MELALUI WORKSHOP EDUKATIF Maria Wilda Malo; Paulino Lucky Puty; Katarina Yunita Riti; Roswita Sari Kaka; Noviana Martha Dimu; Lidia Lali Momo; Mirayana Rambu Wali; Yunita Pingge
Jurnal Pengabdian Masyarakat: Pemberdayaan, Inovasi dan Perubahan Vol 6, No 2 (2026): JPM: Pemberdayaan, Inovasi dan Perubahan
Publisher : Penerbit Widina, Widina Media Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59818/jpm.v6i2.2785

Abstract

Sumbanese woven fabric is a cultural heritage of high economic value, but MSMEs still face limitations in marketing that tend to be conventional, thus limiting market reach. This study aims to improve the understanding and skills of MSMEs in utilizing digital marketing to increase product competitiveness. The method used was a participatory approach through an educational workshop that combined lectures, discussions, practices, and mentoring involving 15 female MSMEs. The results showed a significant increase in the digital literacy of participants, where before the activity most did not understand digital marketing and had not used social media as a promotional tool, while after the activity 66.67% of participants successfully created a business Instagram account and began actively promoting woven fabric products. The conclusion of this study shows that the practice-based workshop approach accompanied by mentoring is effective in improving the digital capabilities of MSMEs, although the level of technology adoption is still at an early stage, so ongoing mentoring is needed to optimize the use of digital marketing in supporting the development of a creative economy based on local wisdom. ABSTRAKKain tenun Sumba merupakan warisan budaya bernilai ekonomi tinggi, namun pelaku UMKM masih menghadapi keterbatasan pemasaran yang cenderung konvensional sehingga jangkauan pasar menjadi terbatas. Penelitian ini bertujuan untuk meningkatkan pemahaman dan keterampilan pelaku UMKM dalam memanfaatkan digitalisasi pemasaran guna meningkatkan daya saing produk. Metode yang digunakan adalah pendekatan partisipatif melalui workshop edukatif yang mengombinasikan ceramah, diskusi, praktik, dan pendampingan dengan melibatkan 15 pelaku UMKM perempuan. Hasil penelitian menunjukkan adanya peningkatan signifikan dalam literasi digital peserta, di mana sebelum kegiatan sebagian besar belum memahami digital marketing dan belum menggunakan media sosial sebagai sarana promosi, sedangkan setelah kegiatan sebanyak 66,67% peserta berhasil membuat akun Instagram bisnis dan mulai aktif mempromosikan produk kain tenun. Kesimpulan penelitian ini menunjukkan bahwa pendekatan workshop berbasis praktik yang disertai pendampingan efektif dalam meningkatkan kemampuan digital pelaku UMKM, meskipun tingkat adopsi teknologi masih berada pada tahap awal sehingga diperlukan pendampingan berkelanjutan untuk mengoptimalkan pemanfaatan digital marketing dalam mendukung pengembangan ekonomi kreatif berbasis kearifan lokal.
Implementasi Aplikasi AR untuk Meningkatkan Pemahaman IPS Siswa Kelas VI SD Yulius Damma; Stefanus D.I.Mau; Maria Wilda Malo
Jurnal Ilmu Komputer dan Informatika | E-ISSN : 3063-9026 Vol. 2 No. 3 (2026): Januari - Maret
Publisher : GLOBAL SCIENTS PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Perkembangan teknologi digital yang pesat telah mendorong lahirnya inovasi media pembelajaran yang lebih interaktif dan kontekstual dalam dunia pendidikan dasar. Salah satu teknologi yang mulai banyak diterapkan adalah Augmented Reality (AR), yang mampu memadukan objek virtual tiga dimensi dengan lingkungan nyata secara real time melalui perangkat digital. Namun, pembelajaran Ilmu Pengetahuan Sosial (IPS) di SD Negeri Kalimbu Tillu masih didominasi metode konvensional berbasis ceramah dan buku teks, sehingga menyebabkan rendahnya minat dan pemahaman siswa terhadap materi yang bersifat abstrak. Penelitian ini bertujuan untuk menerapkan aplikasi pembelajaran IPS berbasis Augmented Reality dengan pendekatan algoritma rendering objek 3D sederhana serta menganalisis peningkatan pemahaman belajar siswa kelas VI SD Negeri Kalimbu Tillu. Metode penelitian yang digunakan adalah Rapid Application Development (RAD) sebagai pendekatan pengembangan sistem, dengan teknik pengumpulan data berupa wawancara, observasi, dan dokumentasi. Hasil penelitian menunjukkan bahwa penerapan aplikasi AR mampu memvisualisasikan materi IPS secara lebih konkret, menarik, dan interaktif, sehingga membantu siswa memahami konsep-konsep abstrak seperti kenampakan alam dan buatan dengan lebih baik. Temuan ini memperkuat teori pembelajaran berbasis multimedia dan konstruktivisme yang menekankan pentingnya pengalaman belajar visual dan interaktif. Kesimpulannya, aplikasi Augmented Reality berpotensi menjadi media pembelajaran inovatif yang efektif untuk meningkatkan pemahaman belajar IPS siswa sekolah dasar. Penelitian selanjutnya disarankan untuk memperluas cakupan materi, melibatkan jumlah subjek yang lebih besar, serta mengkaji dampak AR terhadap aspek afektif dan psikomotorik siswa.
Sistem Pemesanan Produk pada PT. Talasi Weetabula Berbasis Web Lidia Kartini Ina; Cecilia D. P. Binti Gabriel; Maria Wilda Malo
Jurnal Teknik Mesin, Industri, Elektro dan Informatika Vol. 4 No. 1 (2025): JURNAL TEKNIK MESIN, INDUSTRI, ELEKTRO DAN INFORMATIKA
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jtmei.v4i1.4723

Abstract

A decision support system (DSS) is a tool that helps decision makers choose the optimal option based on predetermined standards. In human resource management, determining the eligibility of ASN (State Civil Servants) employees to receive pensions is crucial because it has an impact on worker welfare, career prospects, and state budget management. This study suggests the use of the Multi-Attribute Decision Making (MADM) approach to build a decision support system for assessing the eligibility of ASN employee pensions. The MADM method is a decision-making process that produces the best choices by considering a number of criteria and options. Retirement age, length of service, work performance, health, and other variables related to the applicable pension policy are some of the criteria considered in this study to assess pension eligibility. The system methodology consists of a number of steps, including determining the criteria, assigning weights to each criterion, and assessing alternatives based on these criteria using computational methods such as TOPSIS (Technique for Order Preference by Samelight to Ideal Solution) and AHP (Analytical Hierarchy Process). The evaluation findings will provide advice on employee eligibility for retirement or ability to continue working. By offering transparent and objective analysis, the developed technology is expected to direct the ASN employee retirement decision-making process and ensure that the decision-making is more accurate and in accordance with related regulations. Therefore, this approach can improve the effectiveness and efficiency of human resource management in government agencies.
Sistem Informasi Registrasi Pasien dan Rekam Medis pada Rumah Sakit Umum Daerah Waibakul (RSUD) Kabupaten Sumba Tengah Berbasis Web Frikles Pahangara; Adelbertus Umbu Jangga; Maria Wilda Malo
Jurnal Teknik Mesin, Industri, Elektro dan Informatika Vol. 4 No. 1 (2025): JURNAL TEKNIK MESIN, INDUSTRI, ELEKTRO DAN INFORMATIKA
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jtmei.v4i1.4724

Abstract

Simplifying the process of administering medical records and patient registration in hospitals is the goal of the web-based Patient Registration and Medical Record Information System at the Waibakul Regional General Hospital (RSUD) in Central Sumba Regency. In the past, manual patient registration often resulted in long waiting times, inaccurate data entry, and difficulty in finding patient information. This web-based solution speeds up the process of searching for patient medical information, coordinating patient data management for hospital staff, and enabling online patient registration. This system is built using web technology that allows flexible access and works with a variety of devices, including PCs and smartphones. The main features developed are electronic medical record management, fast and accurate patient data search, recording of health history, and registration of new patients. In addition, this system has data that may help hospitals make better and more efficient decisions. The test results show that this system can reduce the possibility of data errors, speed up patient registration procedures and maintenance of medical records, and improve the quality of health services provided at RSUD Waibakul. Therefore, this information system is expected to facilitate the acquisition of health information by patients and medical personnel and help improve hospital administration.
Rancang Bangun Sistem Pakar untuk Mendiagnosis Penyakit Epilepsi Menggunakan Pendekatan Certainty Factor pada Puskesmas Kabukarudi Astiana Pidi Buka; Andreas Ariyanto Rangga; Maria Wilda Malo
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 3 No. 4 (2024): November : Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v3i4.4330

Abstract

Expert systems are one type of computer technology that is being used by a lot of people in the medical industry to help doctors examine patients. This is being done in an effort to make patient service better now and in the future. An expert system is a computer program that mimics how an expert would reason to solve a particular problem or acts similarly to an expert due to its understanding of a knowledge base that has to be processed and its ability to solve problems. An expert system's diagnosis of epilepsy leads to the creation of a system that can offer individuals with the condition a consultation service for the purpose of diagnosing the condition and providing information on treatment options. This is demonstrated by the development of numerous technologies that facilitate the work of numerous parties. One of them is computer-related and uses Expert System Science to assist in the diagnosis of epilepsy. The Certainty Factor approach is employed in this study. Thirteen symptoms and three different forms of epilepsy—general, partial, and secondary—were used in this investigation. The study's findings indicate that, based on the chosen symptoms, the most accurate diagnosis is Partial Primary, Partial Secondary, with a confidence level of 74%, and the most accurate diagnosis is Generalized Epilepsy, with a confidence level of 99%.
ANALISIS DAN EVALUASI PERFORMA METODE NAÏVE BAYES DAN LEXICON BASED UNTUK KLASIFIKASI SENTIMEN OPINI PUBLIK TERHADAP PASOLA WANUKAKA BERBASIS DATA YOUTUBE Lusia Leilu Kaka; Antar Maramba Jawa; Maria Wilda Malo
Jurnal Teknik Informatika dan Komputer Vol. 5 No. 2 (2026): Jurnal Teknik Informatika dan Komputer
Publisher : Universitas Muhammadiyah Prof. DR. HAMKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/jutikom.v5i2.24639

Abstract

YouTube is a widely used social media platform for expressing opinions on various issues, including local cultural events like Pasola Wanukaka. However, the diverse nature of comments makes manual sentiment identification inefficient, necessitating automated sentiment classification methods. This study aims to analyze public sentiment regarding Pasola Wanukaka and compare the performance of Lexicon-Based and Naïve Bayes methods in sentiment classification. The study utilized 601 YouTube comments collected via the YouTube Data API v3; following data cleaning, 464 comments remained for analysis. The research process involved preprocessing, sentiment labeling using the Lexicon-Based method, TF-IDF weighting, and classification using the Multinomial Naïve Bayes algorithm. The results indicate that positive sentiment was dominant, accounting for 211 comments (45.47%), followed by neutral sentiment with 175 comments (37.72%) and negative sentiment with 78 comments (16.81%). Evaluation results show that the Naïve Bayes method achieved an accuracy of 65.59%, outperforming the Lexicon-Based method, which achieved 60.99%. Thus, the Naïve Bayes method demonstrated superior performance in classifying the sentiment of YouTube comments regarding Pasola Wanukaka.
PENGEMBANGAN DAN OPTIMALISASI PEMANFAATAN TEKNOLOGI INFORMASI DALAM MENINGKATKAN LITERASI DIGITAL SISWA SEKOLAH DASAR Regina Sofia Sairo; Herman Huki Ratu; Maria Wilda Malo
Informatika: Jurnal Teknik Informatika dan Multimedia Vol. 6 No. 2 (2026): Oktober : JURNAL TEKNIK INFORMATIKA DAN MULTIMEDIA
Publisher : LPPM Politeknik Pratama Kendal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/informatika.v6i2.1982

Abstract

This study aims to develop and optimize information technology to enhance digital literacy among elementary students at SD Inpres Pantai Rua, West Sumba, a remote area with limited infrastructure. The IT form developed is interactive audio-visual learning media in the form of offline MP4 videos (8-10 minutes each, 6 videos) designed using Canva Pro. Digital literacy indicators were operationalized into four dimensions: searching and understanding digital information, using digital learning media, evaluating information relevance, and digital safety, privacy, and ethics. Using R&D with a detailed ADDIE model, subjects were 25 fifth-grade students (aged 10-12). The instrument comprised 20 multiple-choice items, validated (Aiken's V=0.87) and reliable (Alpha=0.82). Offline implementation via shared laptop-projector overcame internet limitations. Results showed improvement from 54.40 to 80.12 (gain 25.72), t(24)=-9.776, p<0.001, Cohen's d=1.95, N-Gain 0.56. Active teacher mentoring and parental guidance on digital ethics were key. Limitations include small single-school sample and no long-term retention evaluation.
Co-Authors Adelbertus Umbu Jangga Andreas Ariyanto Rangga Antar Maramba Jawa Ardiyanto Dapadeda Ariance Renda Wano Astiana Pidi Buka Cecilia D. P. Binti Gabriel Frikles Pahangara Herman Huki Ratu Katarina Yunita Riti Lidia Kartini Ina Lidia Lali Momo Lusia Leilu Kaka Marlina Dama Lero Mirayana Rambu Wali Noviana Martha Dimu Paulino Lucky Puty Regina Sofia Sairo Roswita Sari Kaka Stefanus D.I.Mau Yulius Damma Yunita Pingge