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All Journal Syntax Literate : Jurnal Ilmiah Indonesia JURNAL PENDIDIKAN TAMBUSAI Jurnal Teknik Elektro dan Komputasi (ELKOM) Journal of Computer System and Informatics (JoSYC) Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Informatika dan Teknologi Komputer ( J-ICOM) Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Manajemen Informatika Jayakarta CKI On Spot SmartComp Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Pengabdian Nasional (JPN) Indonesia
Sri Lestari
Program Studi Sistem Informasi, St Ilmu Komputer Cipta Karya Informatika
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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Journal : Jurnal Indonesia : Manajemen Informatika dan Komunikasi

 1 
SISTEM REKOMENDASI FILM MENGGUNAKAN METODE CONTENT-BASED FILTERING STUDI KASUS MATERI DATA MINING DI SMK IDN BOARDING SCHOOL Sri Lestari; Muhammad Mufti Ramdhani
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 3 (2023): Jurnal Indonesia : Manajemen Informatika dan Komunikasi (JIMIK)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) AMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i3.381

Abstract

Movie recommendation systems have become an interesting research topic, as they can assist users in finding movies that match their preferences. The Content-Based Filtering method is one of the methods commonly used in film recommendation systems, which focuses on film content to make recommendations. This study aims to develop a film recommendation system using the Content-Based Filtering method. This method is used to make film recommendations based on the similarity of the features of the films that have been watched by the user. This research uses case studies at SMK IDN Boarding School, where this film recommendation system was built as a means of learning data mining materials for students. Movie data is taken from the film API and processed using an algorithm to extract features from film content. Then, the system recommends films based on the similarity of features with the films that are liked by the user. The test results show that the developed film recommendation system has good performance in recommending films based on user preferences. Users can provide feedback to improve the accuracy of recommendations and the system can continue to be improved using more sophisticated methods.
IMPLEMENTASI WEB SERVICE PADA SISTEM LAPORAN ARUS KAS DENGAN METODE RESTFUL API STUDI KASUS YAYASAN RUMAH DERMAWAN INDONESIA Sri Lestari; Dzaky Haidar
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 3 (2023): Jurnal Indonesia : Manajemen Informatika dan Komunikasi (JIMIK)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) AMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i3.384

Abstract

Rumah Dermawan Indonesia Foundation is a foundation engaged in the humanitarian field in Tangerang. In its activities, the Foundation encounters a problem in recording cash flow, because incoming and outgoing cash flows are still recorded on only one platform, making it less effective. The problem of recording cash flows will be more effective if you use a web service system to facilitate recording of incoming and outgoing cash flows. The model method used to record cash flows on the right web service system for this problem is the REST-Ful API which can be applied to the foundation. Therefore, the researcher proposed an idea that would be applied to the Foundation with the theme of a cash system report using the REST-Ful API method. From the method that the author uses, namely the REST-Ful API method, it shows that it can be used on more than one platform. So that in the future if there is development on other platforms it can be reused. Because the output generated from the REST-Ful API is JSON (Javascript Object Notation). To create a REST-Ful API, researchers will use the Golang language program, this is because the language is light when compiling and processing data.
KLASIFIKASI KETEPATAN KELULUSAN SISWA PADA SMK YADIKA 9 BINTARA JAYA KOTA BEKASI MENGGUNAKAN ALGORITMA C4.5 Sri Lestari; Bela Dina
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 3 (2023): Jurnal Indonesia : Manajemen Informatika dan Komunikasi (JIMIK)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) AMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i3.389

Abstract

Education is the learning of knowledge, skills, and habits of a group of people passed from one generation to the next through teaching, training, or research. SMK Yadika 9 Bintara Jaya Bekasi City is one of the private vocational schools, However, along the way, there are still problems that occur every year, namely the problem of the right number of student graduations and late. The number of students who graduate on time is an indicator of the effectiveness of a vocational school both public and private. SMK needs to detect the behavior of active students so that factors that cause students not to graduate on time can be seen. Data collection using techniques in the form of interviews and observations, in this study is related to systematic literature review to find predictive modeling using data mining classification methods. Data mining classification in determining the accuracy of student graduation with the CRISP-DM testing method. The results of this study resulted that the C4.5 algorithm is the most optimal method of performance in determining the graduation accuracy classification of students of SMK Yadika 9 Bintara Jaya Bekasi City.
IMPLEMENTASI KLASIFIKASI KEHAMILAN BERESIKO DENGAN METODE NAIVE BAYES PADA PUSKESMAS KELURAHAN MALAKA JAYA Virginia Khoirunnisa; Sri Lestari
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 4 No. 3 (2023): Jurnal Indonesia : Manajemen Informatika dan Komunikasi (JIMIK)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) AMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v4i3.396

Abstract

Pregnancy risk is classified into three categories: Low Risk Pregnancy (KRR), High Risk Pregnancy (KRT), and Very High Risk Pregnancy (KRST). Examination data recorded in the Maternal and Child Health (MCH) book at Puskesmas is used to categorize pregnancy risk. Although the maternal mortality rate has decreased, recent surveys show a significant increase. The causes include lack of counseling on obstetric and gynecological health, lack of emergency obstetric and neonatal care, and the use of ineffective traditional medicine. To overcome this problem, it is necessary to improve quality maternal health services. Efforts to accelerate the reduction of maternal mortality rate (MMR) include access to appropriate health services, postpartum care, and family planning services. Data processing uses data mining techniques with the Naïve Bayes classification method, which has high accuracy and short execution time. This study aims to develop a Naïve Bayes classification model in early detection of pregnancy risk, so that it can help diagnose pregnant women with low or high risk.
Co-Authors Agung Pratama Aldi Sitohang Aldino Nur Ihsan Andrian Nur Ihsan Ayuk Ambar Kusuma Bela Dina Dadang Iskandar Mulyana` Dea Noer Rachmawati Deason’s Tanduri Dhiva Andini Putri Alinur Dionta Dionta Dwi Lestari Dzaky Haidar Eka Anggraeni Eka Satria Maheswara Erno Sumantri Firza Novianto Hadi Lheena Herta Apriani Silaban Ilham Gunawan Irfan Maulana Irviani Liestian Ramadhanty Julinar Sari Hutagalung M Ainur Rofik M Ohan Joharuddin Zakaria Maharanisa Maharanisa Megawati Megawati Miftahul Jannah Ahyana Puteri Kharisha Miftahul Jannah Ahyana Puteri Kharisha Muhammad Faizal Lazuardi Muhammad Fakhri Pratama Muhammad Mufti Ramdhani Puji Kurniati Rasiban Raya Fitri Boangmanalu Sandy Rivaldiansyah Soleh Ependi Stefany Tarunajaya Sugeng Sugeng Tri Wahyudi Virginia Khoirunnisa Wahyu Hidayat Wahyu Saputro Yansen Yansen Yomi Kusumah Yuma Akbar