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All Journal Syntax Literate: Jurnal Ilmiah Indonesia JMM (Jurnal Masyarakat Mandiri) Journal of Soft Computing Exploration Jurnal Informatika: Jurnal Pengembangan IT
Haqimi, Nur Azizul
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Humanities Computer Science & IT Education Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Analisis Spam Komentar Instagram menggunakan Support Vector Machine dengan Variasi Hyperparameter Haqimi, Nur Azizul; Roshinta, Trisna Ari
Jurnal Informatika: Jurnal Pengembangan IT Vol 9, No 3 (2024)
Publisher : Politeknik Harapan Bersama

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

Abstract

Instagram (IG) is a web and mobile-based social media application where users can share photos or videos with the available features. These features include captions, tagging, adding locations where photos or videos were taken, editing and filtering photos or videos before they are uploaded from the smartphone application and certain tags so that the photos can be seen by many people. Instagram as social media is not only a medium for communication but also for developing brands and selling products. Spam that often appears in spam comments is a barrier to getting appropriate information. When identifying spam and non-spam comments, a challenging problem is that the number of spam comments is less than non-spam comments, thus causing an imbalanced dataset problem. Imbalanced data sets can affect the performance of classification algorithms. Support Vector Machine (SVM) to classify comments between two classes (spam or nonspam) which is the maximum distance between the hyperplane and the closest item from both classes. Analysis of related research that has been carried out with feature variations states that the addition of 90 different features to the data used to increase classification accuracy on imbalanced data.  Other related research discusses Complementary Naïve Bayes which can be used to balance dataset classes. This research describes the selection of Support Vector Machine hyperparameters, especially for unbalanced data where the level of similarity is almost the same, so hyperparameter experiments are needed for the best accuracy
Timeline reminder system bot and telegram assistant chatbot for a university student and lecturer Haqimi, Nur Azizul; Kusuma, Rendra Tri
Journal of Soft Computing Exploration Vol. 4 No. 4 (2023): December 2023
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v4i4.221

Abstract

This research relates to the development of a chatbot application to help lecturers and students in the D3 Informatics Engineering study program remember schedules of activities and answer questions related to the study program. The background of this research is due to the difficulties of lecturers in managing activity schedules and answering questions that come from D3 Informatics Engineering study program students effectively and efficiently. This shows that having chatbot reminder and assistant applications will be very useful for study programs. The purpose of this research is to develop a bot and chatbot application that can help lecturers and students at Diploma 3 Informatics Engineering in managing activity schedules and answering questions related to study programs. The research method used is the Waterfall system development method, which is a type of System Development Life Cycle (SDLC). This method follows the sequential stages of system development starting from requirements analysis, system design, implementation, testing and maintenance. In this study, the chatbot application was developed using the Golang programming language, Codeigniter4 as the dashboard platform.
IMPLEMENTASI SISTEM LAYANAN GANGGUAN KESEHATAN MENTAL REMAJA BERBASIS KECERDASAN BUATAN PADA SEKOLAH MENENGAH ATAS Haqimi, Nur Azizul; Riatma, Darmawan Lahru; Masbahah, Masbahah; Rachman, Yusuf Fadlila; Khoirunisa, Rifa; Sani, Ahmad Faisal
JMM (Jurnal Masyarakat Mandiri) Vol 9, No 4 (2025): Agustus
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v9i4.32856

Abstract

Abstrak: Kesehatan mental remaja di Indonesia menjadi isu mendesak yang harus segera ditangani. Pentingnya deteksi dini pada remaja di SMA dengan sistem berbasis Artificial Intelligence yang telah dirancang sesuai kebutuhan. Tujuan pengabdian masyarakat adalah memberikan solusi dari permasalahan dengan kerelevanan bidang Teknik informatika untuk deteksi dini pada siswa SMA dengan mengaplikasikan sistem Mentalwell. Selain itu, siswa dapat menangani kondisi mental setelah menggunakan sistem Mentalwell. Harapan sistem Mentalwell dapat memberikan kemudahan dalam memberikan layanan kesehatan mental remaja. Sosialisasi Mentalwell antara tim pengabdian dan mitra meliputi penggunaan serta pemahaman sistem. Mitra pengabdian adalah SMA Negeri 1 Mejayan yang berlokasi di Kabupaten Madiun. SMA N 1 Mejayan adalah Kegiatan Pengabdian melibatkan beberapa guru BK SMA N 1 Mejayan dan seluruh siswa-siswi SMA N Mejayan sebanyak 108 siswa dan 4 guru BK. Kegiatan dilaksanakan di SMA N 1 Mejayan, Kabupaten Madiun.Mentalwell bertujuan menekan angka depresi di kabupaten Madiun pada jenjang Sekolah Mennegah Atas sehingga setiap siswa dapat memilih perguruan Tinggi dan jurusan sesuai dengan yang harapan. Abstract: Adolescent mental health in Indonesia is an urgent issue that must be addressed immediately. The importance of early detection in adolescents in high school with an Artificial Intelligence-based system that has been designed as needed. The purpose of community service is to provide solutions to problems with the relevance of the Informatics Engineering field for early detection in high school students by applying the Mentalwell system. In addition, students can handle mental conditions after using the Mentalwell system. It is hoped that the Mentalwell system can provide convenience in providing adolescent mental health services. Mentalwell socialization between the service team and partners includes the use and understanding of the system. The service partner is SMA Negeri 1 Mejayan which is located in Madiun Regency. SMA N 1 Mejayan is a service activity involving several counseling teachers of SMA N 1 Mejayan and all students of SMA N Mejayan as many as 108 students and 4 counseling teachers. The activity was carried out at SMA N 1 Mejayan, Madiun Regency.Mentalwell aims to reduce the depression rate in Madiun district at the Senior High School level so that each student can choose a college and major according to their expectations.
Literature Review: Virtual Reality Sebagai Media Imersif Dalam Terapi Kognitif Untuk Penanganan Stress dan Depresi Khoirunisa, Rifa; Sani, Ahmad Faisal; Masbahah, Masbahah; Rachman, Yusuf Fadlila; Haqimi, Nur Azizul
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v10i10.62104

Abstract

Stres dan depresi merupakan masalah kesehatan mental yang semakin meningkat secara global, terutama pada kelompok usia produktif, dan berdampak signifikan terhadap kualitas hidup individu. Penelitian ini bertujuan untuk meninjau secara sistematis penerapan Virtual Reality (VR) sebagai media imersif dalam terapi kognitif untuk penanganan stres dan depresi. Terapi kognitif, meskipun telah terbukti efektif dalam mengurangi gejala maladaptif, seringkali menghadapi kendala dalam hal aksesibilitas, motivasi pasien, dan tingkat keterlibatan dalam proses terapi. VR muncul sebagai inovasi yang menawarkan pengalaman interaktif dan lingkungan aman yang dapat meningkatkan efektivitas terapi. Metode penelitian menggunakan Systematic Literature Review (SLR) terhadap 118 artikel terindeks Scopus dengan rentang publikasi 2022–2025. Hasil analisis menunjukkan bahwa 10 artikel mendukung efektivitas VR dalam menurunkan gejala stres dan depresi, sedangkan 8 artikel menekankan pengalaman subjektif pasien yang cenderung positif. Keunggulan utama VR adalah sifatnya yang imersif, fleksibilitas personalisasi, serta kemampuan meningkatkan keterlibatan pasien. Namun, tantangan yang ditemukan meliputi keterbatasan teknologi, biaya implementasi, dan isu kenyamanan pengguna. Faktor penentu keberhasilan penerapan meliputi kualitas perangkat, kesiapan tenaga profesional, serta motivasi dan karakteristik pasien. Implikasi penelitian ini menunjukkan bahwa VR berpotensi besar menjadi media pendukung terapi kognitif yang menjanjikan dalam praktik klinis, meskipun penelitian lebih lanjut diperlukan untuk mengkaji dampak jangka panjang dan pengalaman pengguna secara lebih mendalam.
Co-Authors Khoirunisa, Rifa Kusuma, Rendra Tri Masbahah Masbahah, Masbahah Rachman, Yusuf Fadlila Riatma, Darmawan Lahru Roshinta, Trisna Ari Sani, Ahmad Faisal