Article Per Year (5 Year)
p-Index From 2021 - 2026
2.9
P-Index
This Author published in this journals
All Journal Jurnal Inotera JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) INFORMATIKA JAMAIKA: Jurnal Abdi Masyarakat Jurnal Keuangan dan Akuntansi Terapan (KUAT) Abdi Jurnal Publikasi Journal of Artificial Intelligence and Digital Business Journal of Research and Publication Innovation BULLET : Jurnal Multidisiplin Ilmu AMMA : Jurnal Pengabdian Masyarakat APPA : Jurnal Pengabdian Kepada Masyarakat IPSSJ Jurnal Teknik Informatika dan Teknologi Informasi
Okta Irawati
Universitas Pamulang
Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

Published : 20 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 20 Documents
Search

 1   2 
PEMANFAATAN TEKNOLOGI GRAFIKA KOMPUTER UNTUK MENINGKATKAN DAYA JUAL PRODUK PADA MATA PELAJARAN KEWIRAUSAHAAN DI SMK INFORMATIKA CIPUTAT Okta Irawati, Sutrisno, Iis Istiqomah
Integrative Perspectives of Social and Science Journal Vol. 2 No. 03 Juli (2025): Integrative Perspectives of Social and Science Journal
Publisher : PT Wahana Global Education

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

Abstract

Perkembangan teknologi digital menuntut pelaku usaha untuk mampu menciptakan visual produk yang menarik yang berguna untuk meningkatkan daya saing. Dengan kondisi yang ada sekarang, siswa SMK Informatika Ciputat masih mengalami keterbatasan dalam pemahaman desain grafis dan pemanfaatan tools digital untuk keperluan kewirausahaan. Pengabdian masyarakat ini bertujuan untuk meningkatkan kompetensi siswa dalam memanfaatkan teknologi grafika komputer, khususnya aplikasi Canva, untuk mendesain produk yang marketable. Metode yang digunakan meliputi pelatihan intensif dengan melakukan workshop, pendampingan desain, serta evaluasi melalui pretest-posttest dan analisis karya. Peserta terdiri dari 20 siswa kelas XI jurusan Teknik Komputer dan Jaringan. Hasilnya menunjukkan peningkatan signifikan dalam pemahaman desain grafis siswa, keluaran kualitas visual produk yang karyanya memenuhi kriteria marketable. membuktikan efektivitas pendekatan visual branding. Kegiatan ini tidak hanya meningkatkan keterampilan teknis siswa, tetapi juga membuka peluang kolaborasi dengan UMKM lokal. Kesimpulan penelitian menunjukkan bahwa integrasi grafika komputer dalam kewirausahaan mampu meningkatkan daya jual produk sekaligus mempersiapkan siswa menjadi wirausaha digital yang kompetitif. Rekomendasi untuk pengembangan ke depan meliputi penyediaan akses tools desain premium dan integrasi kurikulum desain grafis dengan mata pelajaran produktif lainnya.
Analisis Peforma Algoritma Kompresi Huffman, LZW, BZIP2, Zstandard dan Brotli dalam Efisiensi Penyimpanan Data dan Transfer Data Irawati, Okta; Nurhasanah, Nurhasanah; Lumbantoruan, Ayu Talenta; Zahrani, Siti Fatul
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 2 (2025): Mei - Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i2.1396

Abstract

Penelitian ini bertujuan untuk mengevaluasi performa beberapa algoritma kompresi data dalam kaitannya dengan efisiensi penyimpanan dan kecepatan transfer data. Fokus utama terletak pada perbandingan antara efisiensi hasil kompresi, durasi proses kompresi-dekompresi, serta dampaknya terhadap waktu pengiriman data. Untuk mendukung analisis, digunakan teori dasar dari teknik kompresi seperti algoritma JPEG, Discrete Cosine Transform (DCT), dan Huffman Coding yang sering digunakan dalam pengolahan gambar digital.Data diperoleh melalui uji coba terhadap berbagai jenis file gambar digital (JPG, TIFF, GIF), kemudian dianalisis secara kualitatif dengan meninjau rasio kompresi, durasi proses, serta pengaruh karakteristik data terhadap efektivitas kompresi. Hasil analisis menunjukkan bahwa pemilihan algoritma yang sesuai (contohnya, adaptasi JPEG pada file non-JPG) dapat meningkatkan efisiensi ruang simpan hingga 40% dan mempercepat pengiriman data. Namun, efektivitas setiap algoritma sangat bergantung pada tingkat redundansi dan jenis format file yang digunakan.
ANALISIS DATA EKONOMI DAN KEUANGAN PUBLIK DI INDONESIA MENGGUNAKAN METODE DATA MINING Nabila Putri Candra; Salsa Nabila; Intra Sepriansa; Serina Admi Yuliana; Okta Irawati
Journal of Research and Publication Innovation Vol 3 No 3 (2025): JULY
Publisher : Journal of Research and Publication Innovation

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

Abstract

Penelitian ini menggabungkan empat studi kasus dalam analisis data publik Indonesia menggunakan pendekatan data mining. Tujuan dari penelitian ini adalah mengeksplorasi pola tersembunyi dari data nyata yang mencakup penyerapan anggaran kementerian tahun 2012, perkembangan UMKM periode 2015–2018, struktur penggajian di Direktorat Jenderal Pajak, serta saham sektor perbankan dalam indeks LQ45. Metode yang digunakan meliputi K-Means Clustering untuk pengelompokan berdasarkan kemiripan fitur, serta Decision Tree untuk klasifikasi efektivitas penyerapan anggaran. Dataset diperoleh dari sumber resmi seperti Seknas FITRA, Kementerian Keuangan, BPS, dan Bursa Efek Indonesia. Hasil analisis menunjukkan bahwa pendekatan data mining mampu mengelompokkan entitas berdasarkan karakteristik dominan, serta menemukan segmentasi yang relevan untuk mendukung pengambilan kebijakan berbasis data. Temuan ini menegaskan pentingnya pemanfaatan data mining dalam menganalisis data publik secara komprehensif dan efisien.
Apriori Algorithm in Electrical Equipment Sales for Inventory Control Optimization Jupron; Okta Irawati; Muhammad Bahrein
Jurnal Inotera Vol. 10 No. 2 (2025): July - December 2025
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol10.Iss2.2025.ID465

Abstract

XYZ Electrical Store is one of the small and medium enterprises that sells various types of electrical equipment for household needs. The management of sales data in the store is still done by recording sales transactions in a book, making the sales report generation process take a long time. With such a sales data management system, control and planning of stock items become less than optimal. Customers often find that the items they want to buy are out of stock. Moreover, the accumulation of less popular items also poses a challenge to the store's cash flow, resulting in subopti mal business processes. This research was conducted to address the issues of controlling and planning stock of goods using data mining techniques with the Apriori algorithm on sales transactions of electrical tools. Through a series of threshold tests, a minsup of 10% and minconf of 60% were obtained. This study results in information on the types of electrical tools that need to be monitored as they can lead to stock shortages when buyers need them, namely, the categories of LED lights, electrical cables, plugs, electrical insulation, and out bow. By knowing this information, it can provide solutions to Sinar Mulya Electric Store in stocking the most frequen tly sold items in the store.
Implementasi dan Optimalisasi Metode Naive Bayes Dalam Sistem Deteksi Dini Penyakit Tiroid Nurhasanah, Nurhasanah; Asyiah, Nilovar; Irawati, Okta
Journal of Information System Research (JOSH) Vol 6 No 4 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i4.7940

Abstract

This study aims to develop an early detection system for thyroid disease using the Naive Bayes algorithm. The dataset used is the Thyroid Disease Dataset from the UCI Machine Learning Repository, consisting of thousands of patient records. Prior to model training, the data undergoes preprocessing steps such as handling missing values, numerical normalization, and categorical encoding. The classification process involves calculating the prior probability, likelihood, and posterior probability for each class: normal, hypothyroid, and hyperthyroid. The system also presents the probability percentage for each class as an automated diagnosis result. Model accuracy is evaluated using a Confusion Matrix, achieving an accuracy score of 98.01% on the test data. These results indicate that the proposed approach can effectively and accurately classify thyroid conditions for early diagnosis purposes.
Mengungkap Pola Hubungan Antara PDB dan Pendapatan Domestik Pemerintah di Indonesia Okta Irawati; Pascal Ismail; Najwa Masayu Azzahra; Dwi Fitria Alfiani; Ario Isnandar; Muhammad Naufal Arif
Jurnal Teknik Informatika dan Teknologi Informasi Vol. 5 No. 2 (2025): Agustus: Jurnal Teknik Informatika dan Teknologi Informasi
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jutiti.v5i2.5481

Abstract

Gross Domestic Product (GDP) and domestic government revenue are two important indicators that reflect the condition and stability of a country's economy. In Indonesia, understanding the relationship between these two indicators is highly relevant, especially in assessing the success of fiscal policy and the direction of national development. This research aims to identify the relationship pattern between GDP and Indonesian government domestic revenue using data from 2007-2011. The analysis was carried out through correlation and linear regression approaches to measure the level of relationship and form a predictive model between the two variables. The results show a significant positive correlation between GDP growth and increased government revenue. These findings are expected to contribute to supporting the formulation of macroeconomic policies based on empirical data.
PAPER CRAFT UNTUK PENGENALAN KOMPONEN KOMPUTER DASAR PADA SANTRI TPQ MIFTAHUL HUDA Istiqomah, Iis; Irawati, Okta; Noviana, Widyah
JAMAIKA: JURNAL ABDI MASYARAKAT Vol 6 No 3 (2025): OKTOBER
Publisher : Universitas Pamulang

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

Abstract

This Community Service Activity aims to improve the basic digital literacy of children at TPQ Miftahul Huda through the paper craft method as an educational medium for basic computer architecture. The activity participants numbered 25 children aged 7–12 years, who were accompanied by 1 TPQ teacher and 3 facilitators from the community service team. The implementation method is carried out in the form of a face-to-face workshop that includes short lectures, demonstrations, paper craft assembly practice, interactive discussions, and simple evaluations. Paper craft media is used to introduce computer components such as CPUs, monitors, keyboards, and mice in a concrete and fun way without using computer devices directly. The results of the activity show an increase in the percentage of children who are able to name at least three basic computer components from 32% before the activity to 84% after the activity. In addition to improving cognitive understanding, this activity also encourages active participation, creativity, and fine motor skills of children during the learning process. Thus, the paper craft method has proven effective as an alternative learning medium to improve children's basic digital literacy in non-formal educational environments with limited facilities, and has the potential for sustainable replication. Keywords: paper craft, basic computer architecture, digital literacy, TPQ, community service
Pelatihan Dasar Full-Stack Programming Network Bagi Siswa Smk Bintang Nusantara : bahasa indonesia Iis Istiqomah; Sutrisno; okta irawati
AMMA : Jurnal Pengabdian Masyarakat Vol. 1 No. 07 (2022): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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

Abstract

Analysis of the situation based on observations in the field regarding the profile of the Bintang Nusantara Vocational School during this pandemic, namely the lack of learning materials and the provision of knowledge gained by students. Many students have scores below the minimum average in the vocational competency unit. Values ​​below the average will have difficulty taking the school exam in theory and practice. For students who have a minimum competency value, it will be difficult to find a job later. With a less than average graduation rate, it will have an impact on the school's own accreditation value. The justification for the proposer and partners in determining the priority issues that have been agreed to be resolved during the implementation of the PkM program is the Basic Full-Stack Programming Network Training for SMK Bintang Nusantara Students.
Membangun Soft Skill Siswa SMK Bintang Nusantara Melalui Pelatihan Optimalisasi Pengelolaan Live Shopee Untuk Konten Pemasaran Okta Irawati; Sutrisno; Iis Istiqomah
AMMA : Jurnal Pengabdian Masyarakat Vol. 2 No. 12 : Januari (2024): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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

Abstract

The government pays attention to vocational education, including vocational high schools (SMK). The aim of the various programs that have been launched by the government is to produce graduates who are able to meet industry needs. Bintang Nusantara Vocational School offers skills competency education such as AKL, OTKP, ​​Multimedia with graduates ready to work, become entrepreneurs or continue their education. To achieve this, the education and learning process must refer to and comply with the applicable curriculum in accordance with the school's vision, mission and goals. Subjects that discuss Digital Marketing teach how to market via the internet. This marketing can be done through web pages or using the social media provided. By doing business online, of course it will be easier and will not require a lot of costs, to rent a shophouse, buy stock, pay employees and so on. Carrying out online buying and selling activities requires special skills to achieve success. So we are hereby proposing this PkM activity with the theme of building Soft Skills for Bintang Nusantara Vocational School students through training in optimizing live shopee management for marketing content. The presentation by the resource person and then continuing to practice the features available on Shopee live streaming is expected to increase knowledge regarding online selling skills in a good and structured manner.
IMPLEMENTASI ANALYTIC HIERARCHY PROCESS (AHP) DALAM SISTEM PENDUKUNG KEPUTUSAN UNTUK OPTIMALISASI SELEKSI ATLET BOLA BASKET BERBASIS MULTIKRITERIA Erie Abdan Amirullah Faqih; Okta Irawati
Informatika: Jurnal Teknik Informatika dan Multimedia Vol. 6 No. 1 (2026): MEI : JURNAL INFORMATIKA DAN MULTIMEDIA
Publisher : LPPM Politeknik Pratama Kendal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/informatika.v6i1.1466

Abstract

The selection process for the best athletes at the Indonesian Basketball Association (PERBASI) Serang Regency remains characterized by a reliance on the subjective discretion of coaches, which implies a deficit in transparency and objectivity. This condition potentially triggers decision inconsistencies and organizational internal friction. This research aims to construct and implement a Decision Support System (DSS) to mitigate these issues. The primary methodology adopted is the Analytic Hierarchy Process (AHP), which is capable of analyzing multi-criteria problems through measurable priority weighting. The evaluation criteria employed encompass Dribbling, Passing, Shooting, Defense, and Speed & Agility. System development was executed using the Waterfall life cycle, with primary data obtained through interview and observation techniques. Implementation results confirm that the AHPbased DSS has been validated as capable of facilitating a more efficient and objectively measurable decision-making process. The AHP calculations yield the best athlete recommendation, namely Alfri (A2), with the highest Global Priority weight of 0.512. Consequently, the application of this AHP framework significantly contributes to reducing subjective bias and optimizing the speed of the athlete selection cycle
Co-Authors Abdullah Wahid Abi Adam Widayat Annisa Azzahra Ario Isnandar Asyiah, Nilovar Darma Eko Prasojo Dea Setiana Wati Deby Lastrifani Della Velina Diwa Caesare Fajri Dwi Fitria Alfiani Erie Abdan Amirullah Faqih Farhan Hidinilah Fitri Bidayatul Hidayah Iis Istiqomah Iis Istiqomah Intra Sepriansa Irsan Baihaqi Istiqomah, Iis Jupron Jupron Lumbantoruan, Ayu Talenta Mas Albar Ajibaskoro Mohammad Faisal Ramadhan Mohammad Havid Al Azar Muhamad Albana Muhamad Bahron Muhammad Bahrein Muhammad Bintang Fitriansyah Muhammad Farhan Muhammad Iqbal Nurdianto Muhammad Naufal Arif Muhammad Parvez Bahiyuddin Muhammad Ricky Ardian Muhammad Rizky Nabila Putri Candra Najwa Masayu Azzahra Nina Mumtazia NOVIANA, WIDYAH Nurhasanah Nurhasanah Nurhasanah Nurhasanah Pascal Ismail Rafi Basthara Revadya Bayyinatuzahra Reza Shahrul Romadoni Rhachela Essy Christina Salsa Nabila Santi Rahayu Santi Rahayu Serina Admi Yuliana SUTRISNO Sutrisno Sutrisno Sutrisno Syahrul Wardi Yayat Supriatna Zahrani, Siti Fatul