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All Journal Jurnal Kebidanan Syntax Jurnal Informatika TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Informatika dan Teknik Elektro Terapan Journal of Information System JURNAL LENTERA : Kajian Keagamaan, Keilmuan dan Teknologi Jurnal Informatika Universitas Pamulang INTECOMS: Journal of Information Technology and Computer Science Jiko (Jurnal Informatika dan komputer) JURNAL PENDIDIKAN TAMBUSAI J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Pengabdian Magister Pendidikan IPA Jurnal Informasi dan Komputer Jambura Law Review JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Andalas obstetrics and gynecology journal Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Generation Journal JATI (Jurnal Mahasiswa Teknik Informatika) Scientific Journal of Informatics utile: Jurnal Kependidikan Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Teknologi Informatika dan Komputer Jurnal Ilmiah Wahana Pendidikan JOURNAL LA MEDIHEALTICO J-SAKTI (Jurnal Sains Komputer dan Informatika) JUSTIN (Jurnal Sistem dan Teknologi Informasi) PubHealth Jurnal Kesehatan Masyarakat Jurnal Kajian Ilmu Manajamen Jurnal Pengabdian Sosial Journal of Sharia Economic Law Al-amiyah : Jurnal Ilmiah Multidisiplin
Intan Purnamasari
Universitas Singaperbangsa Karawang
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Pengaruh Stopword Removal dan Stemming Terhadap Performa Klasifikasi Teks Komentar Kebijakan New Normal Menggunakan Algoritma LSTM Santosa, Agil; Purnamasari, Intan; Mayasari, Rini
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.427

Abstract

The development of information technology has made the popularity of social media increase in recent years, one of which is Youtube. Youtube’s popularity make this platform a major source of sentiment where almost everyone tends to express their views in the form of comments. These commnent not only express people but also have more meaning about their experiences. Comments originating from social media are unstructured so that in sentiment analysis the preprocessing stage is an important task. There are many techniques used in preprocessing including stopwrod and stemming. However, several studies have shown that the use of stopword and stemming gives different result. Therefore, in this paper, the researcher further anlyzes the effect of applying stopword and stemming on Youtube video comment regarding the New Normal policy using Long Short Term-Memory. The result obtained we found that the use of stopword and stemming greatly affects the performance of the model, this is because a lot of information is lost after the stopword process and some words change meaning after stemming.
Implementasi Modified Enhanced Confix Stripping Stemmer pada Klasifikasi Fake News Covid-19 Putri, Dyas Rahma; Dermawan, Budi Arif; Purnamasari, Intan
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (731.051 KB) | DOI: 10.30645/j-sakti.v5i2.359

Abstract

Today's advances in technology and information make communication easier, so that the flow of information can quickly spread. The ease also allows anyone to upload anything on online platforms such as blogs, comments to news articles, social media, etc. that could lead to ambiguity of information or even lead to misleading information. Fake news is information that contains things that are uncertain or not a fact that actually happened. One of the popular news topics nowadays is about the covid-19 virus. This research evaluates the performance of Multinomial Naïve Bayes and Bernoulli Naïve Bayes in conducting fake news classifications related to covid-19. Beside that, we used Modified Enhanced Confix Stripping Stemmer in performing indonesian word standardization that has a variety of shapes and structures. The evaluation showed that Bernoulli Naïve Bayes model had the best performance than Multinomial Naïve Bayes, with the accuracy value of 91%, precision 0.93, recall 0.92, and f-1 score 0.92. In addition, the performance of Modified Enhanced Confix Stripping Stemmer (Modified ECS) algorithm is also perform very well in standardizing words (stemming) Indonesian language.
Implementasi Link State Routing Dengan Algoritma Dijkstra Pada Jaringan GM Purinet Kosambi Menggunakan Metode NDLC Firdiansyah, Adri; Carudin, C; Purnamasari, Intan
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i2.399

Abstract

The growth of Startup companies is soaring in this era of digital economy, not a few also use LAN within the scope of their company to conduct data transactions between divisions in the company. This study aims to analyze the performance of the Link State routing protocol with Dijkstra's Algorithm using qualitative method and the Network Development Life Cycle (NDLC) methodology. Qualitative method aims to test the quality of a system to assess its performance. The research object that will be selected is GM Purinet Kosambi for the reason it has all the requirement needed for this research to continue. Because the performance of Link State Routing is not yet known by many people if it is implemented and used as a superior routing protocol in a Startup business that uses a Computer Network in it, the author is interested in researching it. The results of this study indicate that the performance of Link State Routing is very good according to the parameter of Quality of Service (QOS) and can prevent and solve existing problems as well as preventable problems such as network disconnections and detection of disturbances that commonly occur in computer networks.
Pengaruh Stopword Removal dan Stemming Terhadap Performa Klasifikasi Teks Komentar Kebijakan New Normal Menggunakan Algoritma LSTM Santosa, Agil; Purnamasari, Intan; Mayasari, Rini
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.427

Abstract

The development of information technology has made the popularity of social media increase in recent years, one of which is Youtube. Youtube’s popularity make this platform a major source of sentiment where almost everyone tends to express their views in the form of comments. These commnent not only express people but also have more meaning about their experiences. Comments originating from social media are unstructured so that in sentiment analysis the preprocessing stage is an important task. There are many techniques used in preprocessing including stopwrod and stemming. However, several studies have shown that the use of stopword and stemming gives different result. Therefore, in this paper, the researcher further anlyzes the effect of applying stopword and stemming on Youtube video comment regarding the New Normal policy using Long Short Term-Memory. The result obtained we found that the use of stopword and stemming greatly affects the performance of the model, this is because a lot of information is lost after the stopword process and some words change meaning after stemming.
Ontologi dalam Sistem Penentuan Varietas Padi di Indonesia Defiyanti, Sofi; Purnamasari, Intan; Padilah, Tesa Nur; Sari, Betha Nurina; Mayasari, Rini; Jaman, Jajam Haerul
JUSTIN (Jurnal Sistem dan Teknologi Informasi) Vol 13, No 1 (2025)
Publisher : Jurusan Informatika Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/justin.v13i1.83303

Abstract

Indonesia menghadapi tantangan ketahanan pangan yang serius akibat pertumbuhan penduduk, urbanisasi, dan perubahan iklim. Hal ini menuntut pendekatan baru dalam pemilihan varietas padi yang sesuai untuk berbagai kondisi lingkungan. Penelitian ini bertujuan untuk mengembangkan sistem berbasis pengetahuan, OntVarRice, yang mengintegrasikan ontologi dan aturan menggunakan Semantic Web Rule Language (SWRL) guna merekomendasikan varietas padi unggul baru yang sesuai untuk daerah-daerah spesifik di Indonesia. Metode penelitian mencakup pengumpulan persyaratan sistem, pengembangan ontologi, formulasi aturan menggunakan SWRL, serta validasi sistem melalui penilaian pakar berdasarkan pertanyaan kompetensi untuk menjamin keselarasan rekomendasi dengan kebutuhan lokal. Uji coba dilakukan dengan berbagai skenario kondisi lingkungan untuk memverifikasi keakuratan dan relevansi rekomendasi. Hasil menunjukkan bahwa sistem OntVarRice mampu memberikan rekomendasi yang lebih akurat dan kontekstual, meningkatkan produktivitas dan efisiensi pertanian secara signifikan. Namun, penelitian ini terbatas pada data lingkungan yang tersedia dan membutuhkan integrasi dengan sistem pendukung keputusan berbasis IoT untuk meningkatkan efektivitas dalam skala lebih luas. Kesimpulannya, sistem ini berpotensi mendukung ketahanan pangan nasional melalui peningkatan efektivitas pemilihan varietas padi sesuai kondisi spesifik daerah.
Analisis Beberapa Faktor Risiko Perdarahan Pasca Persalinan Di RSUD K.R.M.T. Wongsonegoro Kota Semarang Purnamasari, Intan; Handaria, Diana; Anggraheny, Hema Dewi
Andalas Obstetrics And Gynecology Journal Vol. 8 No. 1 (2024)
Publisher : Fakultas Kedokteran Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/aoj.8.1.599-609.2024

Abstract

Background: Postpartum haemorrhage is cumulative blood loss more than 1,000 ml after cesarean section or more than 500 ml after the fetus is born vaginally after the 3rd stage of labor is completed accompanied by signs of hypovolemia. Based on data from the Directorate of Maternal Health in 2010-2013, the biggest cause of maternal death is bleeding.Methods: This study used a quantitative analytic observational approach to case control. The cases in this study were mothers who were diagnosed with postpartum hemorrhage in 2021. While the controls in this study were mothers who were not diagnosed with postpartum hemorrhage in 2021. The sample used consecutive sampling technique.Results: Total sample of 306 people, namely 153 cases and 153 controls. In the chi square test and logistic regression analysis, namely age (p=0.234, OR1=1.495), parity (p=0.005, OR1=2.233, OR2=2.261), pregnancy interval (p=0.034, OR1=1.760), labor induction (p=0.268, OR1=1.356), cesarean section (p=0.001, OR1=0.014), retained placenta (p=0.001, OR1=15.457, OR2=7.245), and preeclampsia (p=0.012, OR1=0.329) .Conclusion: There is a relationship between parity, gestational spacing, cesarean section, retained placenta, and preeclampsia with postpartum hemorrhage. Variable retained placenta has the highest risk for postpartum hemorrhage, continued parity, preeclampsia, and cesarean section. Caesarean section and preeclampsia variables are protective factors.
Literasi Digital Terhadap Kesiapan dan Minat Kerja Siswa SMK Terpadu Sinar Islami Khairunnisa, Iin; Purnamasari, Intan
utile: Jurnal Kependidikan Vol. 10 No. 2 (2024): utile: Jurnal Kependidikan
Publisher : FKIP Universitas Muhammadiyah Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37150/jut.v10i2.3103

Abstract

This research aims to find out whether digital literacy can influence work readiness and whether digital literacy can increase vocational school students' work interest. Digital literacy is used as the independent variable (X), while work readiness is used as the dependent variable (Y1) and work interest as the dependent variable (Y2). This research uses quantitative methods. The population in this study was 52 vocational school students and the sample used was 34 vocational school students using random sampling technique. Judging from the results of the coefficient of determination test or R Square for variables X and Y1, it is 640, which is equivalent to 64.0%, and variable on the work readiness variable (Y1) and the work interest variable (Y2).
Inventarisasi Sarana dan Prasarana Di MTs. Negeri 2 Jember Purnamasari, Intan; Nafisah, Karunia; Dzakiri, Labib Hanif; Deesaeh, Khairul Anwar; Hidayat, Rofiq
AL-AMIYAH: Jurnal Ilmiah Multidisiplin Vol. 2 No. 02 (2025): Mei-Agustus
Publisher : Yayasan Miftahul Ulum Sangatta Kutai Timur (KEP. MENKUMHAM RI No. AHU-0014779.AH.01.04.Tahun 2018) bekerjasama dengan Jurusan Tarbiyah STAI Sangatta Kab. Kutai Timur.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71382/aa.v2i02.270

Abstract

Educational asset management includes an inventory of facilities and infrastructure that play an important role in supporting the smooth teaching and learning process. This study aims to identify the actual condition of facilities and infrastructure at MTs. Negeri 2 Jember, evaluate their compliance with national education standards, and analyze the obstacles faced and solutions that can be applied in the inventory process. The method used in this research is descriptive qualitative, with data collected through field observations, intensive interviews, and documentation analysis. The results showed that most of the facilities and infrastructure in MTs. Negeri 2 Jember are available, but there are still discrepancies in the aspects of eligibility and data collection. The main obstacles found are limited competent human resources, lack of technical training, and weak asset documentation system. This study recommends strengthening the digital-based inventory system and increasing the capacity of education personnel in managing school assets. The findings are expected to be the basis for policy-making and planning for more effective and efficient infrastructure management.
Strategi Optimalisasi Program Vaksinasi HPV di Kota Pekalongan Paramitha, Dhiya Ayu; Purnamasari, Intan; Hamdan, Muhamad; Sari, Alya Amelia; Rindhasari, Amelia; Chosyiyah, Atut Indah; Irawan, Teguh; Indriyani, Yulis
PubHealth Jurnal Kesehatan Masyarakat Vol. 4 No. 1 (2025): Edisi Juli
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/pubhealth.v4i1.1007

Abstract

Human Papilloma Virus (HPV) merupakan virus penyebab kanker serviks, yang menjadi penyebab kematian kedua akibat kanker pada perempuan setelah kanker payudara. Sebagai langkah pencegahan, pemerintah Indonesia menetapkan vaksinasi HPV sebagai imunisasi wajib nasional sejak 2023. Penelitian ini bertujuan mengevaluasi pelaksanaan program vaksinasi HPV di Kota Pekalongan serta merumuskan strategi optimalisasi untuk meningkatkan efektivitasnya. Penelitian menggunakan pendekatan kualitatif dengan metode survei evaluatif di empat puskesmas perwakilan tiap kecamatan. Data diperoleh melalui wawancara mendalam dengan berbagai informan kunci, lalu dianalisis dengan pendekatan SWOT. Hasil menunjukkan cakupan vaksinasi HPV di Kota Pekalongan meningkat dari 80,6% (2023) menjadi 95–98% (2024). Keberhasilan ini didukung oleh SDM yang kompeten, sarana prasarana memadai, dan koordinasi lintas sektor yang kuat. Namun, tantangan masih dijumpai, seperti penolakan vaksin akibat kurangnya pemahaman, isu keagamaan, dan distribusi vaksin yang belum merata. Strategi yang disarankan meliputi edukasi berbasis lokalitas, pelibatan tokoh agama, peningkatan komunikasi risiko, serta perluasan cakupan pada anak yang tidak bersekolah. Temuan ini diharapkan menjadi dasar perumusan kebijakan dalam memperkuat program vaksinasi HPV yang lebih inklusif, efektif, dan berkelanjutan.
Optimalisasi Manajemen Penerimaan & Penyimpanan Dokumen Fax Menggunakan Algoritma Greedy Purnamasari, Intan; Komarudin, Oman
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 6 No 6: Desember 2019
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (4004.637 KB) | DOI: 10.25126/jtiik.201966976

Abstract

Mesin fax pada dasarnya mutlak diperlukan bagi sebuah instansi maupun organisasi tertentu. Namun kesulitan yang dihadapi oleh beberapa perusahaan kecil maupun menengah adalah tidak dapat mengalokasikan dana bagi pembelian mesin fax, perawatan, dan perlengkapan komputer sebagai media penunjang. Bagi perusahaan yang telah memiliki mesin fax pun, manajemen dokumen yang diterima melalui fax menjadi kesulitan tersendiri, dari mulai perawatan mesin fax, pemeriksaan ketersediaan kertas dan cartridge tinta, pemeriksaan dokumen yang diterima, serta penyimpanan arsip fax yang diterima. Metodologi penelitian yang akan digunakan pada penelitian ini adalah metode rakayasa perangkat lunak atau Software Development Life Cyle (SDLC) dengan model pemrograman cepat atau Extreme Programming. Desain pemodelan aplikasi menggunakan UML (Unified Modelling Language) yang diimplementasikan menggunakan bahasa pemrograman PHP sebagai algoritma program dan bahasa pemrograman HTML untuk desain tampilan aplikasi dengan tools aplikasi Notepad++. Hasil implementasi dari aplikasi ini adalah yang semula awalnya penerimaan dokumen fax dengan menggunakan mesin fax harus tercetak dan membutuhkan media kertas sebanyak 100% mengingat mesin fax hanya dapat menampilkan pesan dan dapat dibaca setelah tercetak namun setelah  menggunakan apliksi digifax ternyata dapat menghemat penggunaan kertas sebanyak 24,6% sehingga penggunaan kertas menurun menjadi 78,6%. Hal ini karena dengan aplikasi digifax dokumen atau file fax yang diterima dapat disimpan dan dapat dicetak (print) maupun diatur sesuai kebutuhan pengguna. AbstractFax machine basically is absolutely necessary for a particular institution or organization. However, the difficulties faced by some small and medium enterprises are not able to allocate funds for the purchase of a fax machine, maintenance, and computer equipment as supporting media. For companies that already have a fax machine too, management documents received via fax into its own difficulties, ranging from fax machine maintenance, checking the availability of paper and ink cartridges, examination of documents received, and the received fax archival storage. The research methodology that will be used in research is a method of software engineering or Software Development Life Cyle (SDLC) with fast programming model or Extreme Programming. Design application modeling using UML (Unified Modeling Language) which is implemented using the PHP programming language as the program algorithm and HTML programming language for interface design tool applications with Notepad + + applications. The results of the implementation of this application is that the original fax document acceptance initially using fax machines need to be printed and paper media as much as 100% given the fax machine can only display a message and can be read as printed digifax but after using the same practice was able to save the use of paper as much as 24, 6%, so the use of paper decreased to 78.6%. This is because the application digifax documents or files received faxes can be stored and can be printed (print) and arranged according to user needs.
Co-Authors Adhi Rizal Agustiyana, Rosela Aimede Primackof Pouryono Al Farezal, Rifky Alamry, Syarifah Helmiah Alfiah, Nur Rizqi Aliffia Kulsumarwati Andini, Rina Widia Anisa Aulia Annaz, Fajar Aprina, Tilawaty Asep Jamaludin Bagja Nugraha Baguspriawan, M Rendy Bella Aprianti Betha Nurina Sari Budi Arif Dermawan Carudin, Carudin Chosyiyah, Atut Indah Deesaeh, Khairul Anwar Dinar Hasnan Hariri Dori Lukman Hakim Dwi Setyaningsih Dzakiri, Labib Hanif E Haodudin Nurkifli Elin Nurlia Erik Arfan Suganda Erlina Suci Astuti, Erlina Suci Ernawati, Naya Fatiah Rahmadant, Tania Fatiah Rahmadanti, Tania Fauzan Osama, Mochamad Febrianti, Amanda Firaldi, Ilhan Firdausi, Stabita Firdiansyah, Adri Firmansyah, Dani Hamdan, Muhamad Handaria, Diana Hannie Hannie Hardiansyah, Firhan Hayuni, Okta Ros Hema Dewi Anggraheny Hidayat, Rofiq Ibnu Alfitra Salam Iin Khairunnisa Iqbal Maulana Irman Hermadi Jaman, Jajam Haerul Julius Widianto Pratama Putra Kamal Prihandani Khoirul Fahmi, Muhamad Komarudin, Oman Lulianthy, Eliyana Lusen, Vieri M Jajuli M. Rayhan Rizqullah Syarif Maulana, Asyifa Mayasari, Rini Muhamad Iqbal Faddillah Muhammad Azhari Sofyan, Chendra Mulyono Mulyono Nafi'ah, Nafi'ah Nafisah, Karunia Nirma Kurriwati, Nirma Nurfathullah, Muhammad NURUL HIDAYAH Nurul Miqat Oman Komarudin Padilah, Tesa Nur Paramitha, Dhiya Ayu Pratama, Riski Danan Prihandani, Kamal Putri, Dwi Khalisa Putri, Dyas Rahma Rafika Nur Rindhasari, Amelia Rini Mayasari Rivanka, Dika Rizal, Adhi Rohanah, Aan Salam, Ibnu Alfitra Samuel Bayulianto Santosa, Agil Sari, Alya Amelia Senjaya, Rico Septiadi, Michael shelladita fitriyani susilo Siska Siska Sofi Defiyanti Sulilawati, Susi Syaripudin, Rifky Teguh Irawan Valdi Irawan Virgayani Fattah Yahya Wijaya Yani Nurhadryani Yulis Indriyani Yusup, Irvan Maulana