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All Journal Pixel : Jurnal Ilmiah Komputer Grafis JURTEKSI METIK JURNAL Jurnal Review Pendidikan dan Pengajaran (JRPP) Jurnal Manajemen Informatika dan Sistem Informasi Jambura Journal of Electrical and Electronics Engineering JATI (Jurnal Mahasiswa Teknik Informatika) JISA (Jurnal Informatika dan Sains) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal IPTEK Bagi Masyarakat Jurnal ABDIMAS Budi Darma Ilmu Komputer untuk Masyarakat Jurnal Informatika Teknologi dan Sains (Jinteks) SainsTech Innovation Journal Internet of Things and Artificial Intelligence Journal Journal of Artificial Intelligence and Digital Business ETIK (Jurnal Elektronika Terapan dan Ilmu Komputer) Jurnal Pengabdian Bersama Masyarakat Indonesia Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Pekayunan Teknik: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer
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Analisis Sentimen Terhadap Program Makan Bergizi Gratis (MBG) pada Media Sosial Menggunakan Algoritma IndoBERT Bunga Tribuana; Saikin; Wafiah Murniati
METIK Jurnal Vol. 10 No. 1 (2026): METIK Jurnal Issue Published
Publisher : LPPM Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/0ac2j454

Abstract

The Free Nutritious Meal (MBG) Program is one of the Indonesian government's strategic policies that has generated various public responses on social media, particularly TikTok. This study aims to analyze public sentiment toward the MBG program using the IndoBERT Deep Learning model. The data were collected through TikTok comment scraping using the Apify platform, resulting in 14,447 raw comments. After the data cleaning process, 13,574 valid comments were obtained, and a 50% sample was selected, resulting in 6,787 comments for modeling purposes. Sentiment labeling was performed automatically using a lexicon-based approach with three sentiment categories: positive, negative, and neutral. The class imbalance problem was addressed using the Synthetic Minority Over-sampling Technique (SMOTE) on the training data prior to the IndoBERT fine-tuning process. The results showed that the IndoBERT model with SMOTE achieved an accuracy of 72.39% and a weighted F1-score of 0.73. Although SMOTE improved the representation of the minority class, it reduced the overall accuracy when compared to the model without SMOTE. Nevertheless, the model was still able to classify public sentiment toward the MBG program reasonably well. The findings of this study are expected to provide useful insights for the government in understanding public perceptions of the MBG policy through social media.
EVALUASI PENERAPAN E-PUSKESMAS MENGGUNAKAN METODE HOT-FIT Darji Darmo Suharjo; Mohammad Taufan Asri Zaen; Saikin
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 7 No 4 (2025): EDISI 26
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v7i4.6192

Abstract

e-Puskesmas merupakan sistem informasi kesehatan yang merupakan hasil kerjasama antara Puskesmas dan PT. Infokes Indonesia, dan telah diterapkan di 29 puskesmas di kabupaten Lombok Tengah. e-Puskesmas memiliki fitur yang beragam dan sangat membantu dalam melakukan pelayanan dan mencatat hasil pemeriksaan pasien. Namun pada Puskesmas Sengkol sering terjadi beberapa kendala diantaranya seperti masalah jaringan, kurangnya perangkat serta pengguna yang masih kurang dalam memahami penggunaan sistem. Maka dari itu perlu dilakukan sebuah evaluasi terhadap penerapan sistem e-Puskesmas menggunakan model HOT-Fit, yang terdiri dari 4 variabel yaitu Human, Organization, Technology dan Net Benefit, untuk mengetahui faktor apa saja yang berpengaruh secara signifikan terhadap penggunaan e-Puskesmas di puskesmas sengkol. Pada penelitian ini ditemukan 15 hipotesis, 4 hipotesis ditolak dan 11 hipotesis diterima, kemudian terdapat 2 indikator yang berpengaruh secara negatif terhadap variabel lingkungan, organisasi, dan manfaat. Namun di luar itu variabel System Quality, Information Quality, Service Quality, berpengaruh positif dan secara bersama-sama berpengaruh terhadap Variabel System Use, User Statisfaction, Structure. dan Variabel System Use, User Statisfaction, dan Structure secara bersama-sama berpengaruh terhadap variabel Net Benefit.
PENERAPAN METODE WATERFALL DALAM PENGEMBANGAN SISTEM INFORMASI PELAYANAN PENDUDUKAN BERBASIS WEB (STUDI KASUS: DESA MUNCAN) Yeni Rahmayati; Sofiansyah Fadli; Saikin
Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol. 2 No. 3 (2022): November : Jurnal Teknik Mesin, Elektro dan Ilmu Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/teknik.v2i3.728

Abstract

The Village Government and related officials have the task of managing and handling the interests of the local society especially in muncan village area. In the service system, residents expect services that are fast, precise and accurate. Muncan village has an area of 625,000 ha with a population of 8,035 in habitants and a geographical distance between hamlets that are very far from the place of service of villagers, to overcome this, it is necessery to design a web-based information on villages services in muncan village. It is based on the result of this study, it is expected that it could provide fast, precise and accurate services in muncan villages. The research method used is the method of data collection. The type of data used is perimer data and secondary data. Perimer data in question is interview data, while secondary data is information about village history, service information system. The data analysis method used is the PIECES method. The parts of PIECES are performance, information, economy, context and on time. The results of this study are population service information systems that have replaced several activities that were previously carried out manually so as to reduce the obstacles of data recording errors, data search, population data management, and fast and accurate information. It can also increase the effectiveness and efficiency of the functions of costs, time and labor.
Analisis Kepuasan Pengguna terhadap Aplikasi Shopee Menggunakan Model User Experience (UX) dan ISO 25010 dengan Pendekatan PLS-SEM Nanang Mashud; Saikin Saikin; Amrullah Amrullah
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 4 No. 5 (2026): September : Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Inf
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v4i5.1645

Abstract

User satisfaction is an important indicator for evaluating the success of e-commerce applications because it is closely related to user experience and continued application usage. This study aims to analyze the effects of software quality based on ISO/IEC 25010 and the User Experience (UX) Framework on user experience, satisfaction, and continuance intention toward the Shopee application, as well as to examine the relationships among the research variables using Partial Least Squares Structural Equation Modeling (PLS-SEM). This quantitative study employed a survey involving 155 Shopee users in Central Lombok Regency. The research instrument consisted of 11 variables and 55 indicators measured using a five-point Likert scale. Data were analyzed using SmartPLS 4 through outer model evaluation, inner model evaluation, and hypothesis testing using 5,000-times bootstrapping. The outer model evaluation indicated that all indicators met convergent validity and reliability requirements, while discriminant validity was established based on the Fornell-Larcker criterion and Heterotrait-Monotrait ratio. The R² values indicated that the model explained 79.3% of user satisfaction and 70.8% of continuance intention. Of the 14 tested relationships, 8 hypotheses were supported and 6 were rejected. The strongest relationship was found between Satisfaction and Continuance Intention, with a path coefficient of 0.545 and a p-value of 0.006. These findings indicate that user satisfaction is a key factor influencing users' intention to continue using the Shopee application.
Co-Authors Ahmad S. Pardiansyah Amrina Rosada, Amrina Amrullah Amrullah Apriati, Yati Ayu Lestari Bunga Tribuana Cahyanti, Riska Indah Darji Darmo Suharjo Didik Sudyana Didik Sudyana Fadli, Sofiansyah Fahmi , Hairul Fahmi, Hairul Fauzi Zulkarnain, Mohammad Firda Widia Gilang Restu Imam Wahyudi Haekal Fawaid Hairul Fahmi Handayani, Yudiana Tutik Hasyim Asyari Husnul Khotimah Ichwan Purwata ilahi, faidlul Indah Cahyanti, Riska Jihadul Akbar Kartini, Ajeng Mastuti Kusrini Lalu Mutawalli Lesteri, Widia Maemun Saleh Maulana Ashari Melyana Febrian Mohammad Taufan Asri Zaen Muliana, Muliana Musofa, Aolia Nanang Mashud Nur Hayati Pirmansyah Pirmansyah Qubro, Baiq Ainurrahmi Imanda Riska Indah Cahyanti Saeful Hamdi Septiani, Ria Siti Halimatun Jannah Sofiansyah Fadli Suhaini Suhaini Tantoni, Ahmad Wafiah Murniati Wahyu Hadi, Wahyu Wire Bagye Yeni Rahmayati Yuan Sa'adati