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All Journal Jurnal Pekommas Jurnas Nasional Teknologi dan Sistem Informasi JOURNAL OF APPLIED INFORMATICS AND COMPUTING Widya Teknik Journal of Information Technology and its Utilization
Wikarsa, Liza
Universitas Katolik De La Salle Manado
Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Decision Sciences, Operations Research & Management Engineering Languange, Linguistic, Communication & Media

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Prediksi Tingkat Kesejahteraan Masyarakat Di Kelurahan North Wangurer Menggunakan Regresi Linear Berganda Wikarsa, Liza; Pandelaki, Steven; Sumajouw, Karen
Jurnal Pekommas Vol 8 No 2 (2023): December 2023
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v8i2.5094

Abstract

The level of social welfare in a country can determine the quality and condition of the country itself. North Wangurer sub-district is in Madidir District, Bitung City, with a population of around 750 households. The level of community welfare in this sub-district is solely based on the monthly income obtained from each community which is regarded to be ineffective. Thus, this research aimed to predict the level of community welfare at this sub-district using the multiple linear regression method. It was hoped that this research could provide insights for the North Wangurer sub-district office to make more effective policies/decisions to increase the level of welfare in hope of eradicating poverty and equitably distributing social assistance to the targetted households. There were four independent variables employed in this research such as income, education, occupation, and the number of family members. Meanwhile, the dependent variable was the level of community welfare consisting of Pra-KS, KS-I, KS-II, KS-III, and KS-III Plus as acknowledged by BKKBN. The results revealed that the level of community welfare for the North Wangurer sub-district was in Prosperous Family III Plus (Level 5). Most of the families (98,7%) in this sub-district can meet all basic needs, social psychology and its development, and self-accountability (self-esteem).
Pembangunan Kamus Bilingual Bahasa Sahu Tala'i - Indonesia Menggunakan Algoritma Aho-Corasick Wikarsa, Liza; Suwanto, Thomas; Loha, Christ Henry
Jurnal Pekommas Vol 9 No 1 (2024): Juni 2024
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v9i1.5281

Abstract

Nowadays, local languages gain less interest from the younger generation. This also happened to the Sahu Tala'i language which is a regional language originating from a tribe in the Sahu sub-district, West Halmahera district. Hence, users of this language are becoming fewer and will be threatened with extinction if not being consistently used. To preserve the language, this study built an Android-based bilingual, Sahu Tala'i, and Indonesian dictionary application, to provide access to the language for people in the Sahu sub-district and those who are interested in learning the language. This study uses the Aho-Corasick algorithm to accelerate word search by matching the strings used to determine the position of certain strings in a larger collection of strings. The test results showed that the implementation of the Aho-Corasick algorithm was successfully done to do a word search in the dictionary. Additionally, an audio feature to pronounce the word in the Sahu Tala'i accent/dialect and examples of the use of these words in sentences are provided in this bilingual dictionary.
Using Technology Acceptance Model to Evaluate the Utilization of Kolintang Instruments Application Wikarsa, Liza; Angdresey, Apriandy
Jurnal Pekommas Vol 6 No 1 (2021): April 2021
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v6i1.3348

Abstract

To preserve traditional Kolintang musical instruments, originating from Minahasa (North Sulawesi, Indonesia), Aplikasi Musik Kolintang was developed and can be run on web browsers and Android-based smartphones with several controllers to attract users’ attention. This study aims to explore the acceptability and utilization of this application, especially the use of a webcam as a sensor for motion detections, and identify the modifications to make for better user experiences. Technology Acceptance Model (TAM) was adopted to determine user acceptance and behavioral intentions toward the application. The TAM variables used in this study were perceived usefulness, perceived ease of use, attitude towards usage, and behavioral intentions. External variables were also included, namely application design, application design, and expectancy. An online questionnaires-based survey was conducted to collect data from 177 people randomly selected at Universitas Katolik De La Salle Manado. The results suggested that all variables in the proposed framework either directly or indirectly have effects on the overall behavioral intention to use the application as they have statistically significant positive correlations. The respondent propensity to embrace and use the application was high leading to an increase in positive attitude toward usage, which consequently influenced the behavioral intention to use. Several modifications were indeed required to improve the quality of the application and enrich the user experience.
Analysis of The Effectiveness of Covid-19 Prevention Measures in Manado City Using the K-means Method Wikarsa, Liza; Pandelaki, Steven; Kurnia, Henrico
Jurnal Pekommas Vol 7 No 1 (2022): June 2022
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v7i1.4390

Abstract

Covid-19 is an infectious disease caused by the Coronavirus, spreading quickly and resulting in death. Thus, the government of Manado city recommends all the residents always comply with the   Covid-19 health protocols. The study aimed to investigate the public's response to the effectiveness of the Covid-19 prevention measures imposed by the local government. The prevention measures include using masks, healthy lifestyles, clean lifestyles, and social distancing. K-means clustering was used to determine the level of effectiveness of prevention measures into four clusters, namely very effective (C1), moderately effective (C2), ineffective (C3), and very ineffective (C4). This algorithm yields consistent results despite the difficulty of predicting the K-values or the number of clusters at the beginning of the algorithm. As a result, 58% of respondents consider the prevention measures very effective. They have a high level of Covid-19 awareness and the consequences of violating the health protocols, even though about 10% of the respondents doubted the health protocols in Manado were effective due to the high number of death cases daily. The results can be used as insights for the local government to stop the spread of the Coronavirus in Manado city.
Implementasi Algoritma Konsensus Proof-of-Work dalam Blockchain terhadap Rekam Medis Wikarsa, Liza; Suwanto, Thomas; Lengkey, Chrisdityra
Jurnal Pekommas Vol 7 No 1 (2022): June 2022
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v7i1.4403

Abstract

Dalam bidang penyimpanan data, terutama  pada pencatatan transaksi, diperkenalkan teknologi blockchain. Penelitian ini menggunakan teknologi blockchain untuk mengelola catatan medis yang berisi riwayat medis rahasia pasien dan perawatan medis. Sebagian besar fasilitas kesehatan di Indonesia sudah mulai mengubah cara pencatatan rekam medis menjadi rekam medis berbasis elektronik. Namun, masalah keamanan data masih menjadi perhatian terbesar terhadap perawatan kesehatan karena pelanggaran dapat mengekspos catatan pribadi pasien. Kerentanan data dalam pelayanan kesehatan juga dapat mengakibatkan kesalahan pengobatan yang membahayakan keselamatan pasien. Untuk mengatasi masalah tersebut, teknologi blockchain dapat digunakan untuk keamanan pengelolaan rekam medis. Penelitian ini menggunakan Private Blockchain dan Consensus Proof-of-work (PoW) untuk memproses data yang direkam ke dalam blockchain. SHA-256, algoritma kriptografi asimetris, diterapkan untuk menghasilkan sepasang kunci pengenkripsi dan pendeskripsi data rekam medis. Data yang disimpan dalam blockchain akan secara otomatis didistribusikan ke setiap layanan kesehatan di jaringan blockchain. Dokter akan mengakses rekam medis melalui sistem berbasis web dengan menggunakan token yang sebelumnya dihasilkan oleh pasien di sistem Android. Dengan begitu, dokter dapat mengetahui rekam medis pasien tanpa melanggar privasi pasien dan pasien dapat terhindar dari kesalahan penanganan.
Detection of the Types of Consumable Saltwater Fish in the Coastal Area of Likupang: Uses the Convolutional Neural Network Method Wikarsa, Liza; Angdresey, Apriandy; Sombouwadil , Ticoalu
Jurnal Pekommas Vol 7 No 2 (2022): December 2022
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v7i2.4884

Abstract

In the coastal area of Likupang, many types of saltwater fish can be consumed, such as tuna and skipjack. Yet, there are also types of saltwater fish that cannot be consumed or protected by the government, such as Napoleon fish and sea kingfish. Thus, this research aimed to build a desktop application that can automatically classify consumable and non-consumable saltwater fish species more accurately and promptly using a suitable image recognition method like the Convolutional Neural Network (CNN). CNN has abilities to distinguish images by recognizing several pixels in a two-dimensional image and RGB (Red, Green, Blue) colors which are then converted into a matrix with various values, making it easier for the system to recognize the two-dimensional image. By using 40% test data (143 images) and 60% training data (213 images), test accuracy in identifying and classifying images of consumable fish, non-consumable fish, and non-fish images with each percentage of 94%, 98%, and 95% respectively.    
Sebuah Jalur Hidup Digital: Penerimaan Pengguna Terhadap Aplikasi Deteksi Penyakit Jantung Koroner Wikarsa, Liza; Sanger, Junaidy; Taulu, Angelica
Jurnal Pekommas Vol 9 No 2 (2024): Desember 2024
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v9i2.5826

Abstract

Cardiovascular disease, especially coronary heart disease (CHD), is the leading cause of death globally, with Indonesia, particularly North Sulawesi, experiencing significant prevalence due to unhealthy lifestyles. This study aims to assess the adoption and utilization of an early detection application for CHD among residents of the Spiritual Region of the Sacred Heart of Mary Cathedral Parish in Manado. It also seeks to identify opportunities for enhancing user experiences with the application using the Technology Acceptance Model (TAM). TAM includes constructs like perceived usefulness (PU), perceived ease of use (PEU), attitude towards use (ATU), behavioral intention to use (BIU), actual system use (ASU), and three external variables: information quality (PUIQ), service quality (PEUSVQ), and system quality (PEUSQ). This study uses the Partial Least Square (PLS) approach for data analysis. The results confirmed that all measures effectively assess their intended constructs. Strong correlations among the constructs demonstrate solid internal consistency. Regarding reliability, all constructs demonstrate acceptable consistency
Applied E-Learning of Kolintang Musical Instruments Case Study: University of De La Salle Manado Liza Wikarsa; Debby Paseru; Vianry Teguh Pangemanan
Widya Teknik Vol. 15 No. 1 (2016)
Publisher : Fakultas Teknik, Universitas Katolik Widya Mandala Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33508/wt.v15i1.1195

Abstract

Kolintang (Indonesian’s xylophones) is popular nationwide as the traditional music instruments from Minahasa, a regency in North Sulawesi. It is usually played in ancestor worshipping rituals as it was believed that Kolintang had a close relationship with the traditional belief of North Sulawesi's natives and as their culture. Currently, there are several Kolintang applications developed that run either on Windows or Android operating system. They also use different types of controllers like a web camera, touch screen, and keyboard. Unfortunately, these applications are mostly intended for advanced users who have knowledge and skills in playing the Kolintang instruments. In addition, there remains a general lack of research on how to play the five instruments of Kolintang. Thus, this research will develop an e-learning application for the Kolintang musical instruments that are best suited the needs of novice and advanced users. An evaluation framework is developed to assess the quality and efficiency of learning objects of this application on the selected users by incorporating the Unified Theory of Acceptance and Use of Technology (UTAUT). Four criteria identified in this framework that are learning goal alignment, presentation design, interaction usability, and accessibility. The findings revealed that this e-learning application can help both novice and advance users to play the five instruments of Kolintang with ease and smoothness. The learning process can be done at the individual’s choice of pace and time. Key words: E-learning, Kolintang, Multimedia, North Sulawesi
Improving News Text Classification Using a Hybrid C5.0-KNN Model Wikarsa, Liza; Ngenget, Algy; Tumewu , Andrew; Kalempouw , Miracle; Oley , Edgard
Journal of Applied Informatics and Computing Vol. 9 No. 6 (2025): December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i6.11478

Abstract

In the digital era, the overwhelming volume of online news far exceeds readers’ ability to manually filter information, necessitating automated text classification. However, achieving high classification accuracy remains challenging, especially in low-resource languages like IndonesianThe C5.0 decision tree and K-Nearest Neighbors (KNN) offer complementary strengths but have not yet been jointly utilized for Indonesian news classification; therefore, this study proposes a hybrid C5.0–KNN model designed to enhance news classification performance. A dataset of 1.700 articles was collected from four Indonesian online news, namely CNN Indonesia, Okezone, Tribun Jakarta, and Tribun Jabar, covering five topical categories, namely economy/ekonomi, technology/teknologi, sport/olahraga, entertainment/hiburan, or life style/gaya hidup). The data underwent preprocessing and TF-IDF weighing before classification with the hybrid model. In this approach, C5.0 first generates interpretable decision rules, and KNN then refines borderline cases, combining rule-based and instance-based methods. The findings revealed that the hybrid model achieved a highest accuracy of 0.8847 (using 25% test data and k=5), outperforming standalone C5.0 (0.7426) and KNN (0.8735). Notably, it attained 100% recall for “sport/olahraga” and an F1-score of 0.89 for “entertainment/hiburan”. These results demonstrate the model’s novelty, efficiency, and strong potential for real-world news classification in low-resource language contexts, offering practical value for journalists, analysts, and media monitoring systems.
Implementation of K-means Clustering Algorithm to Analyze the Familial Sentiments Towards COVID-19 Vaccination For Elementary School Students in Kalawat District Indah Kairupan; Liza Wikarsa; Audreyvia Kembuan
Journal of Information Technology and Its Utilization Vol 6 No 2 (2023): December 2023
Publisher : Sekolah Tinggi Multi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jitu.6.2.5280

Abstract

Due to the Ministry of Health's policy, the Indonesian government mandates the public to receive the COVID-19 vaccination as a form of immunity against the coronavirus. This vaccination is not only for adults but also for children of a certain age. Regarding the provision of vaccination for elementary school students aged between 6 to 11 years, the families' responses to this predicament can cause significant barriers to those students being fully vaccinated. Thus, this research developed a web-based application that incorporated the K-means clustering method to group the sentiments of the families into three clusters, namely positive, neutral, and negative. The results showed that the application can identify and cluster the different familial responses from 279 respondents in Kalawat District toward the administration of COVID-19 vaccination to their underage children. The most dominant familial sentiment is positive followed by neutral and negative sentiments with the number of respondents as many as 120 respondents (43%), 113 respondents (41%), and 46 respondents (16%) respectively. This research can help the Health Office in North Minahasa Regency to evaluate public sentiments about vaccination for elementary school students as well as look for better ways to encourage vaccine trust and confidence in this district.
Co-Authors Angelica Taulu Audreyvia Kembuan Axl Marselino Rumondor Christofel Mario Tore Debby Paseru Indah Kairupan Junaidy Budi Sanger Kairupan, Indah Kalempouw , Miracle Kembuan, Audreyvia Kurnia, Henrico Lengkey, Chrisdityra Loha, Christ Henry Michael George Sumampouw Michael George Sumampouw Ngenget, Algy Oley , Edgard Rumondor, Axl Marselino Sombouwadil , Ticoalu Steven Pandelaki Sumajouw, Karen Taulu, Angelica Thomas Ch. Suwanto Tore, Christofel Mario Tumewu , Andrew Vianry Teguh Pangemanan