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All Journal Jurnal Teknologi dan Manajemen Informatika Prosiding SNATIKA Vol 01 (2011) Record and Library Journal Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Sinkron : Jurnal dan Penelitian Teknik Informatika INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi JURNAL MEDIA INFORMATIKA BUDIDARMA Journal of Research and Technology Indonesian Journal of Artificial Intelligence and Data Mining JKTP: Jurnal Kajian Teknologi Pendidikan Jurnal Sisfokom (Sistem Informasi dan Komputer) Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Jurnal Teknologi Terpadu JUSIM (Jurnal Sistem Informasi Musirawas) Buletin Ilmiah Sarjana Teknik Elektro JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) Journal of Advanced in Information and Industrial Technology (JAIIT) SKANIKA: Sistem Komputer dan Teknik Informatika Teknika KLIK: Kajian Ilmiah Informatika dan Komputer International Journal of Data Science, Engineering, and Analytics (IJDASEA) DECODE: Jurnal Pendidikan Teknologi Informasi JITSI : Jurnal Ilmiah Teknologi Sistem Informasi JUSTIN (Jurnal Sistem dan Teknologi Informasi) Informatics, Electrical and Electronics Engineering Jurnal Informatika Teknologi dan Sains (Jinteks) Malcom: Indonesian Journal of Machine Learning and Computer Science The Indonesian Journal of Computer Science JITEEHA: Journal of Information Technology Applications in Education, Economy, Health and Agriculture
Anik Vega Vitianingsih
UNITOMO, Surabaya
Aerospace Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Other

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Game Mathematics In The Jungle Vitianingsih, Anik Vega
Prosiding SNATIKA Vol 01 (2011) Vol 1
Publisher : Prosiding SNATIKA Vol 01 (2011)

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

Abstract

Menurut Pusat Pendidikan Internet Marketing Pertama & Terbaik di Indonesia, Matematika boleh jadi merupakan pelajaran yang kurang populer di antara para siswa di sekolah. Karena dianggap pelajaran yang sulit, membuat matematika dibilang kurang digemari hampir banyak siswa, mulai dari sekolah dasar higga sekolah menengah atas. Games Matematika adalah salah satu cara agar belajar matematika lebih menarik, terutama dapat merebut hati para siswa di sekolah. Games Matematika adalah salah satu cara agar belajar matematika lebih menarik, terutama dapat merebut hati para siswa di sekolah. Boleh dikatakan game matematika tidak seluruhnya ditujukan untuk anak yang memang mengemari matematika, agar menarik minat anak–anak untuk mengemari matematika, atau sedikitnya tidak apriori terhadap matematika. Beberapa games matematika dirancang untuk melatik otak kiri agar semakin terasa dan teratih. Dengan demikian diharapkan anak–anak bisa memahami konsep matematika tanpa menghapalkan rumus–rumus tertentu. Sehingga pemanfaatan games sebagai media edukasi ini bisa menjadi salah satu teknik baru yang bisa membuat anak menjadi semakin senang belajar tentang bangun datar matematika..   Kata Kunci: game Mathematics In The Jungle,  Matematika, Bangun Datar.
REPRESENTATION OF SPATIAL DATA MODELING RESULTS MEASLES DISEASES, CASE STUDY IN EAST JAVA PROVINCE Vitianingsih, Anik Vega; Choiron, Achmad; Cahyono, Dwi; Suyanto, Suyanto
Record and Library Journal Vol 6, No 1 (2020)
Publisher : D3 Perpustakaan Fakultas Vokasi Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/rlj.V6-I1.2020.14-23

Abstract

Background of the study: Measles is a major cause of child death caused by a lack of immunization when a child is a baby.Purpose: The discussion in this paper aims to describe the results of the analysis of the spatial data modeling of measles, knowing the percentage distribution of measles-prone areas, each district based on coverage on immunization status with good, average, fair and poor classification categories. The classification results include areas with good, average, fair, and poor immunization coverage status categories.Method: The method used i.e. with to requirement gathering information data from the East Java health profile book in 2011-2016 for the measles attribute, a literature study to describe the parameter requirements based on the coverage of immunization status (infant immunization status, PD3I, epidemic, and nutritional status), and selection of artificial intelligent (AI) system methods that are in accordance with data behavior for the spatial data modeling process in the formulation of alternative preference values with a decision-making system that involves multi-criteria parameters (multiple attributes decision-making/MADM) with Simple Additive Weighting (SAW) method.Findings: The alternative preference value Vi in the spatial data modeling process with the SAW method can be used as a mathematical model for the same data series behavior.Conclusion: The results of the representation in the modeling of spatial data and this attribute data can be used as a reference for planning in the development of health care centers in areas with poor immunization status categories.
Recommendation System for Determining the Best Banner Supplier Using Profile Matching and TOPSIS Methods Vitianingsih, Anik Vega; Firmansyah, Deden; Maukar, Anastasia Lidya; Kacung, Slamet; Zangana, Hewa Majeed
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 8 No 2 (2024): August 2024
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/intensif.v8i2.21635

Abstract

Background: Choosing a banner supplier is a significant challenge for digital printing companies due to the various advantages offered by each supplier, often leading to selections based on subjective aspects such as price and quality. Objective: This research aims to develop a system that determines the best banner supplier to minimize production inefficiencies and maximize profits by comparing two calculation methods, Profile Matching and TOPSIS. Methods: A quantitative study was conducted using transaction data from the last six months. The parameter criteria used in this system include price, quality, delivery, availability, and payment terms. The study compares the effectiveness of Profile Matching and TOPSIS methods in identifying the best supplier. Results: The study results show that the TOPSIS method is superior, yielding 100% accuracy, 84% recall, and a 92% F1-score, outperforming the Profile Matching method. This demonstrates that the correct method and algorithm effectively provide the best alternative recommendations. Conclusion: The results indicate that using the TOPSIS method leads to more accurate and objective decisions based on predetermined criteria. The findings suggest that further research should focus on refining these methods to enhance decision-making in supplier selection.
Comparative Analysis of SVM and NB Algorithms in Evaluating Public Sentiment on Supreme Court Rulings Maulidiana, Putri Dwi Rahayu; Vitianingsih, Anik Vega; Kacung, Slamet; Maukar, Anastasia Lidya; Hermansyah, David
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 13, No 2 (2024): JULY
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v13i2.2116

Abstract

The legal events that happened to Ferdy Sambo and the Supreme Court’s decision in the cassation triggered emotional reactions and various opinions among the public, especially on social media sites such as Xapps. Some comments reflect people’s concerns about fairness in the legal system. They doubted the integrity of legal institutions or believed that decisions were unfair or in line with vested interests. This research aims to analyze public perceptions of Supreme Court decisions. The research process includes data collection, preprocessing, labeling, weighting, classification using Support Vector Machine and Naïve Bayes, and performance evaluation using a confusion matrix. A dataset of 624 was taken from X apps using the Twitter scraping technique. The lexicon method is used for data labeling, dividing the data into positive, negative, and neutral classes. The analysis results show 46 tweets categorized as positive sentiment, 133 tweets categorized as negative sentiment, and 422 tweets categorized as neutral sentiment. Based on testing with a data ratio of 80:20, both SVM and NB methods show good performance. The SVM criteria showed an accuracy of 0.84, precision of 0.61, recall of 0.78, and f1-score of 0.66, while the NB criteria showed an accuracy of 0.73, precision of 0.37, recall of 0.57, and f1-score of 0.35.
WEB-GIS untuk Mengetahui Penentuan Relokasi Daerah Terdampak Erupsi Gunung Semeru Ghibran Jhi S, Moch; Vitianingsih, Anik Vega; Riza , M. Syaiful; Fitri Ana Wati, Seftin; Wikanningrum , Anggit
Jurnal Teknik Elektro dan Informatika Vol 4 No 1 (2024): Infotron
Publisher : Universitas Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/infotron.v4i1.21823

Abstract

Gunung Semeru sebagai salah satu gunung berapi yang masih aktif di Indonesia, merupakan potensi ancaman bencana erupsi yang serius bagi wilayah sekitarnya. Oleh karena itu, penentuan lokasi relokasi bagi masyarakat yang terdampak di daerah rawan bencana erupsi merupakan langkah penting dalam mitigasi risiko bencana. Tujuan penelitian ini untuk mengembangkan sebuah Sistem Informasi Geografis (SIG) yang dapat memfasilitasi proses penentuan lokasi relokasi bagi penduduk yang berpotensi terkena dampak erupsi Gunung Semeru. Tujuan penelitian ini untuk mengembangkan sebuah aplikasi sistem Web-GIS yang dapat memberikan informasi yang lebih interaktif dan mudah diakses oleh masyarakat dan Badan Penanggulangan Bencana Daerah (BPBD) Kabupaten Lumajang dalam melakukan antisipasi dini dan juga mitigasi bencana. Metode penelitian yang digunakan adalah Overlay Intersect berdasarkan parameter kewasan rawan bencana dan jalur lahar. Aplikasi sistem Web-GIS yang dikembangkan akan menyediakan informasi tentang tata ruang pemukiman di wilayah rawan bencana erupsi, termasuk lokasi relokasi yang direkomendasikan berdasarkan analisis kerentanan dan risiko. Data yang digunakan dalam pegembangan sistem Web-Gis ini berasal Dari BPBD Provinsi Jawa Timur yaitu letak lokasi terdampak lahar dan batas desa hingga kecamatan. Hasil analisa spasial menggunakan Metode Intersect dapat menghasilkan informasi kawasan rawan bencana dan jalur lahar. Sehingga dari hasil penelitian untuk mengetahui penentuan relokasi daerah yang terdampak Kawasan Rawan Bencana nilai akurasi sebesar 68%. ini dapat dijadikan acuan dalam proses mitigasi kesiapsiagaan bencana pada permukiman di daerah sekitar Gunung Semeru agar dapat meminimalisir akibat dari resiko dampak erupsi.
Implementasi Teknologi Leaflet JS dalam Sistem Peta Radar Hujan untuk Meningkatkan Kesiapsiagaan Bencana Gunung Semeru Khusnaini, Geovandi Gamma; Vitianingsih, Anik Vega; Kacung, Slamet; Puspitarini, Erri Wahyu; Wati , Seftin Fitri Ana
Jurnal Teknik Elektro dan Informatika Vol 4 No 1 (2024): Infotron
Publisher : Universitas Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/infotron.v4i1.21997

Abstract

Erupsi Gunung Semeru menyebabkan dampak sosial signifikan, termasuk kerusakan infrastruktur dan korban jiwa. Akses informasi yang terbatas memperumit upaya mitigasi bencana, terutama karena erupsi sering terjadi setiap akhir tahun saat musim hujan, yang dipicu oleh lahar naik akibat air hujan di kawah. Radar hujan di wilayah Gunung Semeru sangat penting untuk mengurangi kerusakan dan korban jiwa. Penelitian ini bertujuan mengembangkan website peta radar hujan berbasis Leaflet JS untuk wilayah Gunung Semeru, menyediakan informasi radar hujan dan lokasi kantor BPBD untuk penanggulangan bencana berbasis peta digital. Teknologi yang digunakan mencakup ekstraksi data Radar Gematronik C-Band menjadi visualisasi produk CMAX yang dianalisis dan diplot menggunakan software wradlib-python. Hasil penelitian menunjukkan bahwa aplikasi mampu memantau curah hujan secara real-time dan menampilkan koordinat geografis wilayah curah hujan. Nilai reflektivitas berkisar antara 0 hingga 15 dBZ, menunjukkan intensitas curah hujan di wilayah tersebut. Pengujian aplikasi menunjukkan efektivitas dalam pemantauan real-time curah hujan dan diterima dengan baik oleh 90% responden, meskipun ada rekomendasi peningkatan akurasi radar dan pengujian lebih lanjut. Aplikasi ini bermanfaat bagi BPBD dalam sosialisasi dan masyarakat untuk kesiapsiagaan bencana, terutama saat musim hujan.
ANALISA DAN DESAIN SISTEM INFORMASI KEUANGAN STUDI KASUS PENDIDIKAN GURU RAUDHATUL ATHFAL (PGRA) Pramudita, Krisna Eka; Vitianingsih, Anik Vega; Kacung, Slamet; Maukar, Anastasia Lidya; Wati, Seftin Fitri Ana
JUSIM (Jurnal Sistem Informasi Musirawas) Vol 9 No 1 (2024): JUSIM : Jurnal Sistem Informasi Musi Rawas JUNI
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jusim.v9i1.2246

Abstract

Kesulitan dalam pembuatan laporan keuangan terkait dengan pengelolaan laporan keuangan yang masih banyak dilakukan menggunakan Gmail atau WhatsApp, selanjutnya rincian laporan keuangan tersebut akan dibuat salinan untuk diarsipkan menggunakan Microsoft office Excel. Penelitian ini menghasilkan rancangan sistem informasi keuangan untuk Lembaga Pendidikan Guru Raudhatul Athfal (PGRA). Sistem akan mampu menampilkan informasi keuangan dalam bentuk laporan, mengelola dan mengelompokkan pemasukan dan pengeluaran berdasarkan sumber, tanggal, dan waktu, serta menampilkan persentase hasil analisis kondisi keuuangann antara pemasukan dan pengeluaran. Model pengembangan perangkat lunak dengan pendekatan waterfall yang mencakup langkah-langkah analisis kebutuhan, desainn spesifikasi, implementasi, pengujiann, dan pemeliharaan. Sistem ini akan membantu lembaga dalam pembuatan, pengiriman laporan keuangan, dan arus kas, Hasil penelitian ini mampu membantu dalam keberlanjutan operasional sekolah, menjaga transparansi dan keakuratan manajemen keuangan.
APLIKASI GAME SURVIVAL HOROR 3D PENCEGAHAN PENCULIKAN ANAK REMAJA BERBASIS DEKSTOP Ade Susianti, Febrina; Vitianingsih, Anik Vega; Choiron, Achmad; Cahyono, Dwi; Wikaningrum, Anggit
SKANIKA: Sistem Komputer dan Teknik Informatika Vol 7 No 2 (2024): Jurnal SKANIKA Juli 2024
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/skanika.v7i2.3208

Abstract

The increase in child abduction cases in Indonesia highlights the need for a better understanding of the dangers of abduction among teenagers, especially abduction in online games. This occurs due to parents' lack of awareness of their children's gaming activities and also because children often seek social interaction through online games. Therefore, an educational approach is needed that involves teenagers and parents in understanding and preventing child abduction cases. The purpose of this research is to develop educational media through games using finite state machines (FSM) and forward chaining. FSM is used for the control system on the player, while forward chaining is used for the puzzle and puzzle system in making decisions based on information taken by the player. The research method uses the Multimedia Development Life Cycle (MDLC) method, which includes determining the application concept, 3-dimensional object design, material collection, application development, application testing, and application publishing. The results of the white box trial ran well, and the validation test was carried out on 30 respondents, with 83.8% stating that this game deserves to be an alternative learning media in self-defense from the crime of kidnapping teenagers.
Sentiment Analysis of Public Responses on Social Media to Satire Joke Using Naive Bayes and KNN Putra Selian, Rasyid Ihsan; Vitianingsih, Anik Vega; Kacung, Slamet; Lidya Maukar, Anastasia; Febrian Rusdi, Jack
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 3 (2024): Research Artikel Volume 8 Issue 3, July 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i3.13721

Abstract

This study examines the use of Satire Joke as a humorous communication style in conveying criticism of the government through social media. Satire Joke is often used to depict the government's inability to address important social issues, such as slow bureaucratic processes and unfulfilled political promises. The aim of this research is to analyze public sentiment towards Satire Joke expressed on the YouTube social media platform. The methods used in this study are Naïve Bayes and K-Nearest Neighbors (KNN) due to their effectiveness in data classification. The results of this study are expected to help gain an understanding of social issues for the community and public knowledge. This research is also expected to contribute to the development of sentiment analysis methods in the future. The analysis results show that 400 data have neutral sentiment, 850 data have negative sentiment, and 947 data have positive sentiment. Based on testing, both Naive Bayes and KNN methods show good performance. The Naive Bayes method achieved the best accuracy of 90.29%, while the KNN method achieved an accuracy of 60.75%.
Expert System Application for Determining Toddler Nutrition Status Using the Mamdani Fuzzy Method Kacung, Slamet; Vitianingsih, Anik Vega; Sufianto, Dani; Maukar, Anastasya Lidya; Marisa, Fitri
JUSTIN (Jurnal Sistem dan Teknologi Informasi) Vol 12, No 3 (2024)
Publisher : Jurusan Informatika Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/justin.v12i3.75976

Abstract

Malnutrition is still a national issue that affects many regions in Indonesia. The use of the Kartu Menuju Sehat (KMS) is considered less than optimal because of frequent recording errors due to the loss of the card, making it impossible to properly monitor the nutritional status of toddlers. In addition, people, especially parents, want to know whether their toddler's diet is adequate or not. Based on these problems, an application is needed to determine the nutritional status of toddlers. This research is important to assist medical personnel in assessing the nutritional status of toddlers and can be relied upon for accuracy through an expert system application. This research aims to develop an expert system application that utilizes the Fuzzy Mamdani method to identify the nutritional status of toddlers based on weight, age, height, and arm circumference parameters. The stages in this research include identifying parameters that affect nutritional status through sources of expertise from doctors, determining sets and rules in the fuzzy method, system implementation, system evaluation, and optimization. The results stated that the Fuzzy Mamdani method has an accuracy value of 90.2% in detecting the nutritional status of toddlers. The acceptance test of the application display assessment resulted in 92.5%, the ease of use of the application was 85.83%, and system analysis resulted in 90.83%.
Co-Authors Abdul Rezha Efrat Najaf Achmad Choiron Ade Susianti, Febrina Ahmad, Sharifah Sakinah Syed Al-Karaki, Jamal N. Anastasia Lidya Maukar ANGGI FIRMANSYAH Azzahra, Morra Fatya Gisna Nourielda Badrussalam, Nanda Budi Suprio, Yoyon Arie Damayanti, Erika DWI CAHYONO Dwi Indrawan, Dwi Dwi Prasetyo, Septian Fardhan Maulana, Abelardi Fauzan, Rizky Fauzi, Ariq Ammar Fawaidul Badri Febrian Rusdi, Jack Firmansyah, Deden Fitri Ana Wati, Seftin Fitri, Anindo Saka Ghibran Jhi S, Moch Hamidan, Rusdi Hengki Suhartoyo, Hengki Hermansyah, David Hikmawati, Nina Kurnia Jazaudhi’fi, Ahmad Khusnaini, Geovandi Gamma KRISTIAWAN KRISTIAWAN Li, Shuai Lidya Maukar, Anastasia MARIFANI FITRI ARISA Maukar, Anastasia L Maukar, Anastasya Lidya Maulidiana, Putri Dwi Rahayu Miftakhul Wijayanti Akhmad, Miftakhul Wijayanti Minggow, Lingua Franca Septha Mudinillah, Adam Muzaki, Mochammad Rizki Omar, Marwan Pradana, Dwifa Yuda Pramisela, Intan Yosa Pramudita, Atanasia Pramudita, Krisna Eka Pujiono, Halim Puspitarini, Erri Wahyu Putra Selian, Rasyid Ihsan Putri, Jessica Ananda Putri, Natasya Kurnia Rahmansyah, Ragada Ramadhani, Illham Ratna Nur Tiara Shanty, Ratna Nur Tiara Rijal, Khaidar Ahsanur Riza , M. Syaiful Rusdi, Jack Febrian Salmanarrizqie, Ageng Sari, Dita Prawita Seftin Fitri Ana Wati Slamet Kacung, Slamet Slamet Riyadi, Slamet Riyadi Sufianto, Dani Suyanto Suyanto Suyanto Tiara Shanty, Ratna Nur Titus Kristanto Tri Adhi Wijaya, Tri Adhi Umam, Azizul Warsito Sujatmiko, Achmad Wati , Seftin Fitri Ana Wati, Seftin Fiti Ana Wati, Seftin Fitri Ana Wikaningrum, Anggit Wikanningrum , Anggit Yasin, Verdi Yoyon Arie Budi Suprio Yudi Kristyawan, Yudi Zandroto, Yosefin Yuniati Zangana, Hewa Majeed