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All Journal Jurnal Teknologi JTT (Jurnal Teknologi Terpadu) SAMARAH: Jurnal Hukum Keluarga dan Hukum Islam BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal Masyarakat Merdeka (JMM) Jurnal Perspektif JRTI (Jurnal Riset Tindakan Indonesia) Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika JATI (Jurnal Mahasiswa Teknik Informatika) Journal of Soft Computing Exploration Jurnal Ilmiah Wahana Pendidikan Djtechno: Jurnal Teknologi Informasi Edumatika Jurnal Ilmiah Mahasiswa Fakultas Hukum Universitas Malikussaleh EduMatika: Jurnal MIPA Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Pengabdian Mandiri Southeast Asian Journal of Technology and Science Technologica Prosiding Seminar Nasional Pendidikan Matematika, Universitas Mulawarman QISTINA: Jurnal Multidisiplin Indonesia Journal of Informatics and Data Science (J-IDS) Jurnal Malikussaleh Mengabdi Krigan: Journal of Management and Sharia Business International Journal of Computer Science and Information Technology
Arnita Arnita
Universitas Bung Hatta
Religion Arts Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Physics Social Sciences Transportation Other

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Analisis Kebutuhan Sistem Informasi untuk Smart Irrigation di Kabupaten Agam Zulfadli, Zulfadli; Arnita, Arnita; Mufti, Dessi; Sunaryo, Budi; Illahi, Ridho Pratama
Prosiding SISFOTEK Vol 8 No 1 (2024): SISFOTEK VIII 2024
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

Agriculture plays an important role in the economic structure of Agam Regency, where the majority of the population relies on agriculture as their main source of income. A well-functioning irrigation system is essential to support this agricultural sector, and its optimal management is essential. Inadequate irrigation management can have various negative impacts, including the conversion of agricultural land into empty or unproductive land, which then impacts regional income and the welfare of local farmers. This study emphasizes how irrigation assets are managed in Agam Regency and the obstacles encountered. In a region that is predominantly dependent on agriculture, approximately 70% of the land is used for agriculture, including 885 irrigation sites that require efficient management and rehabilitation, often carried out by authorities together with farmer groups. This research focuses on answering the urgent need for an integrated information system for irrigation management in Agam Regency. It is aspiring to develop a roadmap for implementing smart irrigation through information systems. Furthermore, practical investigations will develop information systems to facilitate decision-making processes in better irrigation management. The research methodology uses a qualitative descriptive method, which involves collecting data through questionnaires and interviews with relevant stakeholders, parties from government and farmer groups. Data will be processed using descriptive statistical analysis, focusing on the main problems identified during the research. Result of this study as a basic step towards developing an integrated information system for smart irrigation management in Agam Regency, which aims to improve agricultural sustainability, increase income and resource efficiency.
Kajian Kerentanan Keamanan Website Universitas XYZ Menggunakan Framework Open Web Application Security Project (OWAS) Ramadhan, Teguh Reskya; Amelia, Riska; Sunaryo, Budi; Zulfadli, Zulfadli; Arnita, Arnita
Prosiding SISFOTEK Vol 8 No 1 (2024): SISFOTEK VIII 2024
Publisher : Ikatan Ahli Informatika Indonesia

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Abstract

Website security is a critical priority for educational institutions, including XYZ University, to safeguard their data and services from cyber threats. This study aims to assess the security vulnerabilities of XYZ University's website using the Open Web Application Security Project (OWASP) framework. The analysis revealed that the website has high-security risks with multiple vulnerabilities, such as Injection, Cross-Site Scripting (XSS), and Security Misconfiguration. The study employs an OWASP-based approach, encompassing risk identification, vulnerability analysis, and mitigation recommendations. The findings indicate that the primary weaknesses stem from inadequate input data protection, delayed software updates, and weak access controls. This research provides strategic recommendations to mitigate security risks, including strengthening input validation, updating systems, and implementing robust data encryption mechanisms. The results are expected to enhance the security posture of XYZ University's website and serve as a reference for proactive measures against cyber threats.
MENENTUKAN WARNA MAKE UP YANG COCOK BERDASARKAN JENIS SKINTONE PADA CITRA WAJAH MENGGUNAKAN NAIVE BAYES CLASSIFIER Syifa Cendikia, Yolanda; Taufik, Insan; Arnita, Arnita; Indra, Zulfahmi; Chairunisah, Chairunisah
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 1 (2025): JATI Vol. 9 No. 1
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i1.12494

Abstract

Make up adalah produk kosmetik yang digunakan untuk mempercantik atau memperbaiki penampilan wajah dan kulit. Pemilihan warna make up yang sesuai dengan skintone seseorang merupakan aspek penting dalam dunia kecantikan. Skintone yang tidak sesuai dengan warna make up dapat mengurangi penampilan alami seseorang. Penelitian ini membahas pengembangan sistem berbasis citra yang mampu menentukan warna make up yang cocok berdasarkan jenis skintone pada citra wajah menggunakan algoritma Naive Bayes Classifier. Sistem ini dirancang untuk menganalisis citra wajah, mengidentifikasi skintone, dan merekomendasikan warna make up yang sesuai. Data yang digunakan berasal dari citra wajah yang telah diklasifikasikan berdasarkan jenis skintone. Selanjutnya, algoritma Naive Bayes digunakan untuk melakukan klasifikasi dan prediksi warna make up yang paling cocok. Hasil penelitian sistem klasifikasi jenis skintone menggunakan algoritma Naive Bayes Classifier dengan hasil pengujian dari 80 data training dan 20 data testing mendapat akurasi sebesar 85%. Hasil dari penelitian ini dapat membantu pengguna dalam memilih warna make up yang tepat secara otomatis, sehingga dapat menghemat waktu dan memberikan hasil yang lebih presisi. Pengujian dilakukan untuk mengevaluasi keakuratan sistem dan hasil menunjukkan bahwa pendekatan Naive Bayes memberikan hasil yang cukup akurat dalam menentukan rekomendasi warna make up berdasarkan skintone.
Implementation of text summarization on indonesian scientific articles using textrank algorithm with TF-IDF web-based Sihombing, Jeremia Jordan; Arnita, Arnita; Al Idrus, Said Iskandar; Niska, Debi Yandra
Journal of Soft Computing Exploration Vol. 5 No. 3 (2024): September 2024
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v5i3.475

Abstract

The development of information technology has significantly changed how information is accessed, necessitating readers to absorb content efficiently and make quick decisions. To address this challenge, this research developed a text summarization system specifically for Indonesian scientific articles using a web-based implementation of the TextRank and TF-IDF algorithms. TextRank was selected for its capability to identify key sentences without requiring training data, while TF-IDF was employed to weight words based on their frequency within the document. The dataset comprised 100 scientific articles in Indonesian from the Unimed Kode Journal, covering the years 2022-2024. The summarization process included several critical stages: text preprocessing, TF-IDF weighting, cosine similarity calculation, and sentence ranking. The resulting summaries were rigorously evaluated by language experts and website specialists using a Likert scale to assess both the quality of the summaries and the usability of the system. The findings demonstrated that the system effectively generated summaries that retained essential information from the original articles, with the highest accuracy observed at a 50% compression rate (88.533%). Additionally, the system achieved good performance at 40% compression (85.133%) and 30% compression (81.26%). The web-based system allows users to input article text and quickly obtain a summary, offering a practical tool for researchers and readers to efficiently comprehend academic content.
Comparison of supervised machine learning methods in predicting the prevalence of stunting in north sumatra province Saragih, Vinny Ramayani; Arnita, Arnita; Indra, Zulfahmi; Taufik, Insan; Sinaga, Marlina Setia
Journal of Soft Computing Exploration Vol. 5 No. 4 (2024): December 2024
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v5i4.498

Abstract

Stunting is a growth and development disorder in children caused by chronic malnutrition and repeated infections. Stunting has significant short- and long-term impacts and is one of the major health issues currently faced by Indonesia. The prevalence of stunting in North Sumatra Province is 18.9%, and the provincial government aims to reduce this prevalence to 14% by 2024. This study aims to compare the performance of several supervised machine learning methods in predicting stunting prevalence in North Sumatra Province. The data used is secondary data from 2021 to 2023, covering 33 districts/cities in the province. This study evaluates three machine learning models: Support Vector Regression (SVR), Decision Tree, and Random Forest, using evaluation metrics such as Mean Squared Error (MSE) and Mean Absolute Percentage Error (MAPE). The analysis results show that Random Forest provides the most accurate and consistent predictions, with lower MSE, MAE, RMSE, and MAPE values compared to the other models in most areas. Decision Tree yields good results in some regions but tends to produce higher errors in certain cases. SVR exhibits a more varied performance, with some regions showing higher prediction errors. Overall, Random Forest is the superior model for predicting district/city-level data, although model selection should be tailored to the data characteristics and application needs
Developing RME-based Mathematics Textbook to Improve Students’ Numeracy Skills and Learning Motivation Siregar, Latifah; Asmin, Asmin; Arnita, Arnita
Edumatika : Jurnal Riset Pendidikan Matematika Vol. 7 No. 2 (2024): November 2024, Edumatika : Jurnal Riset Pendidikan Matematika
Publisher : Fakultas Tarbiyah dan Ilmu Keguruan IAIN Kerinci

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32939/ejrpm.v7i2.3828

Abstract

Referring to PISA 2015 and 2018 data, Indonesian students' mathematics skills, especially numeracy skills, are lower than the global average score. One effort that can be made to improve students' numeracy skills and learning motivation is the development of mathematics textbook based on Realistic Mathematics Education (RME) with relevant contexts that students can imagine. So, this study aims to develop RME-based mathematics textbook to improve students' numeracy skills and learning motivation using the context of Nai Marbittang, one of the popular folklores in South Tapanuli, North Sumatra, Indonesia. The researchers used the ADDIE development model to develop textbook while assessing its validity through expert validation sheets, practicality through questionnaires, and effectiveness through motivation questionnaires and numeracy tests. Through this study, the products developed were proven to be valid, practical, and effective in improving students' numeracy skills and learning motivation so it can be used more widely, especially on the Pythagorean theorem topic. Other researchers can also utilize folklores on various mathematics topics to improve students' numeracy and learning motivation.
PERLINDUNGAN HUKUM TERHADAP PENYANDANG DISABILITAS BERDASARKAN UNDANG-UNDANG NOMOR 8 TAHUN 2016 TENTANG PENYANDANG DISABILITAS Rahmatillah, Rahmatillah; Arnita, Arnita; Kurniasari, Tri Widya
Jurnal Ilmiah Mahasiswa Fakultas Hukum Universitas Malikussaleh Vol. 8 No. 1 (2025): (Januari)
Publisher : Fakultas Hukum Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jimfh.v8i1.19521

Abstract

Penyandang disabilitas menurut Udang - Undang Nomor 8 Tahun 2016 tentang Penyandang Disabilitas (UUPD) adalah setiap orang yang memiliki keterbatasan fisik, intelektual, mental ,dan/sensorik dalam jangka waktu  lama yang dalam berinteraksi dengan lingkungan dapat mengalami hambatan dan kesulitan untuk berpartisipasi secara penuh dan efektif dengan warga negara lainnya berdasarkan kesamaan hak. Tujuan Penelitian untuk mengetahui perlindungan hukum,sanksi dan penegakan hukum terhadap penyandang disabilitas berdasarkan Undang - Undang Nomor 8 Tahun 2016 Tentang Penyandang Disabilitas.Terkait hak-hak bagi penyandang disabilitas juga telah diatur dalam Pasal 5 ayat (1) UUPD. Penelitian ini menggunakan metode penelitian dengan jenis kualitatif dan pendekatan hukum normatif (normative law research), kemudian teknik pengumpulan data yang digunakan adalah teknik kepustakaan lalu dianalisis. Hasil penelitian ini adalah hukum perlindungan terhadap penyandang disabilitas negara Kesatuan Republik Indonesia menjamin kelangsungan hidup setiap warga negara, termasuk para penyandang disabilitas yang  mempunyai  kedudukan hukum dan memiliki hak asasi manusia yang sama sebagai warga negara Indonesia dan sebagai bagian yang tidak terpisahkan dari warga negara dan masyarakat Indonesia merupakan amanah dan karunia Tuhan Yang Maha Esa, untuk hidup maju dan berkembang secara adil dan bermartabat. Disarankan kepada pemerintah untuk lebih serius dalam menanggapi perlindungan hukum terhadap penyandang disabilitas agar penyandang disabilitas merasakan hak yang sama dengan warga negara indonesia.
KESADARAN HUKUM WAJIB PAJAK DALAM PEMBAYARAN PAJAK BUMI DAN BANGUNAN (Studi Penelitian di Badan Pengelolaan Keuangan Daerah Kota Lhokseumawe) Hidayatullah, Putra; Arnita, Arnita; Muhibuddin, Muhibuddin
Jurnal Ilmiah Mahasiswa Fakultas Hukum Universitas Malikussaleh Vol. 8 No. 1 (2025): (Januari)
Publisher : Fakultas Hukum Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jimfh.v8i1.20005

Abstract

This study discusses the legal awareness of taxpayers in paying Land and Building Tax (PBB) at BPKD Lhokseumawe City. The UN is important for regional revenue and the development of regional autonomy, but taxpayer awareness still faces obstacles. The objectives of this study include: (1) Identifying taxpayers' legal awareness, (2) Uncovering BPKD's obstacles in increasing taxpayer awareness, and (3) Knowing BPKD's efforts in increasing legal awareness of PBB payments. The research method uses an empirical legal approach with direct interviews. This research is descriptive and analytical, referring to Law Number 12 of 1994 and Qanun Aceh Number 1 of 2024. The results of the study show that taxpayers' awareness is influenced by knowledge of regulations, the application of sanctions, and communication between taxpayers and BPKD The obstacles found include lack of education, limited resources, and ineffective communication. BPKD's efforts include counseling, socialization, and the application of administrative sanctions. The conclusion shows that collaboration between BPKD and taxpayers, effective communication, and intensive education can increase legal awareness of UN payments. With this approach, regional revenues can be managed effectively, and tax awareness can grow for the welfare of the community and regional development.
ANALISIS MANAJEMEN SYARIAH TERHADAP PERILAKU STEALTH TRADING PADA PERUSAHAAN KONSTRUKSI DAN PEMBANGUNAN BUMN DI INDEKS LQ-45: Analisis Manajemen Syariah Terhadap Perilaku Stealth Trading Pada Perusahaan Konstruksi Dan Pembangunan BUMN Di Indeks LQ-45 arnita, arnita; Silfitri, Yunia; Rinawati
Krigan: Journal of Management and Sharia Business Vol. 2 No. 2 (2024): Desember 2024
Publisher : Universitas Islam Negeri Sjech M. Djamil Djambek Bukittinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30983/krigan.v2i2.9129

Abstract

Abstrak Penenlitian ini bertujuan untuk menganalisis perilaku stealth trading pada perusahaan konstruksi dan pembangunan BUMN di Indeks LQ-45. Penelitian ini menggunakan data sekunder Intraday dari transaksi perdagangan saham perusahaan konstruksi dan pembangunan di Indeks LQ-45 periode Maret, April, dan Mei 2017. Metode analisis data yang digunakan adalah metode deskrptif kuantitatif dengan jumlah 4 perusahaan. Hasil penelitian ini menemukan bahwa terdapatnya perilaku stealth trading pada investor Domestik dan investor asing. Prilaku stealth trading berdasarkan analisis manajemen syariah merupakan bagian yang tidak boleh diterapkan oleh seorang investor dikarenakan prilakau stealth trading tersebut bertentangan dengan prinsip manajemen syariah yang menjunjung tinggi keadilan, transparansi dan kemaslahatan.  Hal tersebut ditunjukkan dari tingginya persentase perubahan harga, yang diikuti dengan persentase transaksi serta persentase volume yang tinggi yang terjadi di ukuran menegah. Di samping itu penelitian ini menemukan stealth trading yang diikuti dengan perubahan harga yang lebih tinggi, tetapi jumlah volume dan transaksi tidak begitu besar karena di Indonesia investor melakukan transaksi kebanyakan masuk kelompok institusional sehingga nilai transaksi dan volume perdagangan lebih banyak pada ukuran besar yang menyebabkan perilaku stealth trading yang terjadi pada ukuran menengah tidak begitu bagus.   Abstract This study examined the stealth trading behavior of construction and state-owned enterprises in the LQ-45 Index. This study used Intraday secondary data from stock trading transactions of construction and development companies on the LQ- 45 Index during March, April, and May 2017. The data analysis method used was a quantitative descriptive method with a total of 4 companies. The results showed that there was stealth trading behavior among domestic investors and foreign investors. This is indicated by the high percentage of price changes, which is followed by the percentage of transactions and the high percentage of volume that occurs in the medium size. Besides, stealth trading was followed by higher price changes, but the volume and transaction amount were not so large because, in Indonesia, investors mostly entered into institutional groups so that the transaction value and trading volume larger, and caused stealth trading behavior in the middle sizes not so good.
Aplikasi Pembelajaran Metode Regresi Logistik Biner Dalam Mengidentifikasi Karakteristik Prokok Aktif Di Provinsi Sumatera Barat Tahun 2020 Payana, Sandi Dwi; Effendy, Fachriz; Andari, Arnis Wulan; Tarigan, Febry Vista Kristen; Arnita, Arnita
Jurnal Ilmiah Wahana Pendidikan Vol 11 No 2.C (2025): Jurnal Ilmiah Wahana Pendidikan 
Publisher : Peneliti.net

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Abstract

This study aims to identify the characteristics of active smokers in West Sumatra Province in 2020 using binary logistic regression. The dependent variable in this study is smoking status (active smoker or non-smoker), while the independent variables analyzed include the highest level of education, per capita expenditure, gender, and homeownership. According to data from the Central Bureau of Statistics (BPS), the percentage of the population over 15 years old who smoke in Indonesia in 2020 was 28.69%, with monthly per capita expenditure on cigarettes amounting to 5.99%. This indicates that cigarettes have become a highly favored commodity, even surpassing basic foodstuffs. Additionally, data from the 2018 Basic Health Research (Riskesdas) recorded the prevalence of smoking-related diseases, such as Acute Respiratory Infections (ARI) at 9.3%, heart disease at 1.5%, and hypertension at 34.11%. Despite the health risks of smoking being widely communicated, smoking consumption remains high, while the number of people quitting smoking is relatively low. According to Riskesdas 2018, the proportion of former smokers increased from 4% in 2013 to 5.3% in 2018, while the proportion of non-smokers decreased from 66.6% to 65.9% in the same period. Using binary logistic regression, this study analyzes how the independent variables education level, and per capita expenditure affect an individual's likelihood of being an active smoker. The results indicate that these variables significantly influence the likelihood of an individual being an active smoker. This study provides valuable insights for public health policy in designing more targeted smoking prevention programs, especially in West Sumatra Province, by considering the socio-economic characteristics that influence smoking behavior.
Co-Authors Abadi Simanullang, Paskah Advis Ambrosius Sitohang, Yuda Agus Waruwu, Stefen Ahmad Naufal, Ahmad Alfin, Muhammad Amalia, Seila Amanah, Fadilla Amelia Br Siregar, Ririn Amelia Vega S. Meliala, Ruth Ananda Hafika, Rizky Anastasya Carity S, Disty Andari, Arnis Wulan Anfadi, Farid Ariatna Asmin Asmin, Asmin Asyri, Al Aulia, Windy Banjarnahor, Riski Melanton Barus, Emya Lavigana Budi Akbar, Muhammad Budi Sunaryo, Budi Bush Henrydunan, John Chairunisah Chairunisah, Chairunisah Damayanti, Elok Defiyanti, Aqilah Dessi Mufti, Dessi Diah Retno Wahyuningrum Dian Septiana DIdi Febrian Dly, Revidamurti Dobry Sianipar, Freyro Domini, Gracia Edy Surya Effendy, Fachriz Eko Gani PG Eri Widyastuti Fitria, Amanda Hadi Iskandar Hafiz, Alfin Haikal Al Majid, Muhammad Hanafi, Revo Hasangapon Perapat, Gerhard Herinawati, Herinawati Herinawaty, Herinawaty Hidayat Hidayat Hidayatul Arifin, Muhammad Hidayatullah, Putra Hutapea, Risca Octaviyani Hutasuhut, Addiestya Rosa Illahi, Ridho Pratama Impana Manik, Kristin Insan Taufik Irya Shakila Syukron, Ananda Jamidi, Jamidi John Pardamean Hutabarat, Felix Juli Rachmadani khatulistiwa, jamrud Khoiri Nasution, Aurela Kuraini, Atifa Nuzulul MANSUR AS Manullang, Sudianto Marpaung, Faridawaty Mirzazoni, Mirzazoni Muhammad Nasir Muhibuddin Muhibuddin, Muhibuddin Muthmainnah, Inna Nabila, Rinjani Cyra Nasuiton, Aurella Nasution, Muhammad Dana Ananda Putra Nisja, Indra Niska, Debi Yandra Nulhakim, Putri Aisyah Nur Aksa, Fauzah Nuribadah, Nuribadah Parapat, Gerhard Hasangapon Payana, Sandi Dwi Prang, Amrizal J. Rahmatillah, Rahmatillah Ramadhan Manik, Albert Ramadhan, Teguh Reskya Ramadhani, Fanny Ramdhani, Fanny Ridal, Yani Rika, Rika Rinawati Riska Amelia Romi Asmara Rumahorbo, Daniel Rumapea, Kiki Nurpitasari Said . Iskandar Saragih, Vinny Ramayani Sihombing, Jeremia Jordan Silalahi, Niken Adelina Silfitri, Yunia Simamora, Elmanani Sinaga, Marlina Setia Siregar, Latifah Sitohang, Daniel Sitorus, Gabriel Fernando Sri Dewi Sri Mulyana Sriwahyuni, Yeni Sulaiman Sulaiman Suryani, Nita Syahri, Alfin Syifa Cendikia, Yolanda Tampubolon, Josua Deo Tarigan, Febry Vista Kristen Tri Widya Kurniasari tumangger, silfia Tymoty Hutabarat, Peter Wahyu Pratama, Rangga Wahyudi, Rizky Warjaya, Angga Yazid Noor, Muhammad Yulita Molliq Rangkuti Zoni, Mirza Zulfadli Zulfadli Zulfadli Zulfadli Zulfahmi Indra, Zulfahmi