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All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Journal of Industrial Engineering Management JURNAL MEDIA INFORMATIKA BUDIDARMA METIK JURNAL Jurnal Manajemen Informatika dan Sistem Informasi JISA (Jurnal Informatika dan Sains) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Community Development Journal: Jurnal Pengabdian Masyarakat JURNAL ILMIAH GLOBAL EDUCATION sudo Jurnal Teknik Informatika Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Innovative: Journal Of Social Science Research J-ENSITEC (Journal of Engineering and Sustainable Technology) Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Pekayunan Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer Teknik: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer
Wafiah Murniati
STMIK Lombok
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Public Health Other

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ANALISIS KEMATANGAN TATA KELOLA PADA APLIKASI IPUSDA MENGGUNAKAN COBIT 2019 Kariani; Muhamad Rodi; Wafiah Murniati
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 8 No 2 (2026): EDISI 28
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v8i2.7160

Abstract

Pemanfaatan teknologi informasi pada instansi pemerintah berperan penting dalam meningkatkan kualitas layanan publik, termasuk pada Dinas Perpustakaan dan Kearsipan Kabupaten Lombok Tengah yang telah menerapkan aplikasi iPusda sebagai layanan perpustakaan digital. Namun, keberhasilan pemanfaatan aplikasi tersebut sangat bergantung pada penerapan tata kelola teknologi informasi yang terstruktur dan terukur. Penelitian ini bertujuan untuk menganalisis tingkat kematangan tata kelola teknologi informasi pada aplikasi iPusda menggunakan kerangka kerja COBIT 2019. Metode penelitian yang digunakan adalah deskriptif kuantitatif dengan pendekatan studi kasus. Pengumpulan data dilakukan melalui observasi, wawancara, kuesioner, dan studi dokumentasi, kemudian dianalisis menggunakan sepuluh design factors COBIT 2019 dengan fokus pada domain APO, BAI, dan DSS. Hasil penelitian menunjukkan bahwa tingkat kematangan tata kelola teknologi informasi berada pada level 2 (repeatable but intuitive), dengan nilai current maturity antara 1,56 hingga 2,64, sedangkan tingkat kematangan yang diharapkan adalah level 3 (defined process). Analisis kesenjangan menunjukkan adanya gap pada seluruh domain, terutama pada APO03 dan DSS02. Simpulan penelitian menunjukkan bahwa tata kelola teknologi informasi telah berjalan namun belum terdokumentasi dan distandarisasi secara optimal, sehingga diperlukan peningkatan dokumentasi, standarisasi proses, dan penguatan pengelolaan TI untuk mendukung layanan perpustakaan digital yang lebih efektif.
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.
ALAT PENGUKUR SUHU TUBUH MANUSIA TANPA KONTAK FISIK BERBASIS ARDUINO ojik, ahmad tarmuzi; Wafiah Murniati; Muhammad Fauzi Zulkarnaen
Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer Vol. 2 No. 1 (2022): Maret: Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/juritek.v2i1.269

Abstract

Abstract Measurement of human body temperature can be measured using a clinical thermometer. Types of thermometers that already exist today include an analog thermometer and a digital thermometer. In general, this tool takes the fastest time of one to two minutes to get a body temperature value, then the scarcity and drastic increase of the tool during the pandemic make the tool rarely found. In this research, a tool is designed that can be used to determine the value of human body temperature in a short time and obtain accurate readings. Usingg an infrared sensor with the MLX90614 series which is combined with Arduino Uno, ultrasonic sensor, buzzer, led, and a 16x2 LCD screen display is a way that is used to make a body thermometer without physical contact. The research method used is by collecting data, analyzing requirements, designing hardware, and software as well as testing or testing that is carried out on the tool made to find out whether the tool has been running and working as expected.
PENERAPAN DATA MINING UNTUK MEMPREDIKSI PENJUALAN KAIN TENUN MNGGUNAKAN REGRESI LINEAR Firda Widia; Wafiah Murniati; Saikin
Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer Vol. 2 No. 1 (2022): Maret: Jurnal Ilmiah Teknik Mesin, Elektro dan Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/juritek.v2i1.284

Abstract

Abstract Weaving craft is one of the handicrafts located in Lombok, West Nusa Tenggara. Weaving is one of the MSMEs that is very close to the tourism industry and has good economic potential because it absorbs a lot of labor, opens up business fields, and increases the country's foreign exchange. The problem that is often faced by entrepreneurs of woven fabrics is the difficulty in estimating customer demand, so that some of the products requested by customers are not available. It is necessary for sales analysis of woven fabric products to be able to predict customer demand, by means of analyzing past sales data to predict future sales. The research that will be carried out is to predict sales of woven fabric products by processing sales data in the past by modeling the Linear Regression method, and for testing the algorithm is by Mean Square Error (MSE), Mean Square Error (MSE) and Root Mean Square Error. (RMSE). From the results of linear regression modeling the score obtained is 0.8041320270845731. and the test results mean Mean Square Error (MSE) the error value obtained is too high, namely 47,377, and the Root Mean Square Error (RMSE) value is 6.883125, while the MAE score is 3.373572.
SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN BANTUAN PANGAN NON TUNAI (BPNT) DENGAN METODE ADDITIVE RATIO ASSESSMENT (ARAS) Studi Kasus: Desa Muncan Baiq Dea Zualina; Wafiah Murniati; Mohammad Taufan Asri Zaen
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.v2i3.720

Abstract

BPNT is non-cash food aid. What is paid in the form of food by the government. The BPNT program aims to provide opportunities for the government to improve food security and provide balanced nutritional value to poor families, such as in Muncan Village, the BPNT assistance program is distributed every month. In decision-making, the selection of BPNT recipients is constrained because quite a lot of data that is processed or selected by the apparatus is still done manually. So far, the existing system has not been optimal for selecting BPNT recipients with the existing criteria. Data management still uses a manual system and is not effective in determining who is entitled to receive BPNT and who is not. The method used in the decision support system for Social Assistance for Non-cash Food Assistance (BPNT) is the ARAS method to make it easier to identify who is eligible to receive and who is not. support Based on the weight value obtained in the assessment process. The criteria for determining BPNT assistance include: occupation, number of dependents, income, home ownership, electric power and age. For testing using the Black Box method using the Boundary Value technique focusing on errors. The programming language used is PHP or Hypertext Preprocessor.
IMPLEMENTASI METODE TOPSIS PADA SISTEM PENDUKUNG KEPUTUSAN SELEKSI PEMBERIAN PINJAMAN BADAN USAHA MILIK DESA (STUDI KASUS : DESA BATU NAMPAR INDUK) Rika Nurhaliza; Maulana Ashari; Wafiah Murniati; Sofiansyah Fadli
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.v2i3.739

Abstract

The selection process for granting loans to BUMDes Sinar Linus is done conventionally, in this case it makes researchers feel interested in designing a WEB-based Decision Support System as a decision support tool for members of BUMDes Sinar Linus. The methodology used in the development of this system is a method of collecting data in the form of observation, interviews and literature study. While the analytical method used is the TOPSIS (Technique For Others Reference by Similarity to Ideal Solution) method as a decision-making method for the design method using Extreme Programming (XP) which includes planning, design, coding and testing stages. And for the testing method using Blackbox Testing includes home display, login, loan application, applicant, criteria, alternative and TOPSIS. This research resulted in a web-based decision support system that can facilitate members of the BUMDes Sinar Linus in Batunampar Village in deciding or determining prospective recipients of loan funds at BUMDes Sinar Linus.
Co-Authors ahmad tarmuzi ojik Andikasari, Bq Devi Apriati, Yati Ayu Lestari Azomah, Meitia Ba'diatul Baiq Dea Zualina Baiq Dea Zualina Bunga Tribuana Fadli, Sofiansyah Fadli, Sofiansyah Fadli Fahmi, Hairul Firda Widia Haerani, Kiki Hairul Fahmi Hairul Fahmi Hasyim Asyari Jihadul Akbar Kariani Khairul Imtihan khairunnisa, Baiq Lailatussuhadaq Lalu Mutawalli Maulana Ashari Mohammad Taufan Asri Zaen Muhamad Rodi Muhammad Fauzi Zulkarnaen Musofa, Aolia Nurfitriani Nurfitriani, Nurfitriani ojik, ahmad tarmuzi Pirmansyah Pirmansyah Rika Nurhaliza Rika Nurhaliza Rizthy Shavna Azizah Saeful Hamdi Saikin Saikin Sela Handayani Sofiansyah Fadli Sofiansyah Fadli Srihati, Ania Suar Ishak Supardianto Wahyu Ismail Kurnia Yasmin Rosana