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All Journal Dinamik Syntax Jurnal Informatika Nuansa Informatika Jurnal Informatika dan Teknik Elektro Terapan Annual Research Seminar Jurnal Teknologi dan Sistem Komputer JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Pilar Nusa Mandiri Faktor Exacta IKRA-ITH Informatika : Jurnal Komputer dan Informatika JOURNAL OF APPLIED INFORMATICS AND COMPUTING INTECOMS: Journal of Information Technology and Computer Science NUSANTARA : Jurnal Ilmu Pengetahuan Sosial Petir Jurnal Teknologi Terpadu Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Jurnal Abdimas Mandiri Techno Xplore : Jurnal Ilmu Komputer dan Teknologi Informasi INTERNAL (Information System Journal) JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Ilmiah Ilmu dan Teknologi Rekayasa JURNAL PENDIDIKAN, SAINS DAN TEKNOLOGI Jurnal Teknologi Informatika dan Komputer Jurnal Ilmiah Wahana Pendidikan Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD Jurnal Mahasiswa Sistem Informasi (JMSI) JUSTIN (Jurnal Sistem dan Teknologi Informasi) Indonesian Journal of Multidisciplinary on Social and Technology SATIN - Sains dan Teknologi Informasi Jurnal Informatika: Jurnal Pengembangan IT Jurnal Budiman: Pembangunan dan Pengabdian Masyarakat Nusantara INTERNAL (Information System Journal)
Jaman, Jajam Haerul
Universitas Singaperbangsa Karawang
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Public Health Social Sciences Other

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Perbandingan Kinerja Algoritma Klasifikasi Status Mutu Air Lidya Ningsih; Jajam Haerul Jaman; Naufal Ibnu Salam; Muhammad Haikal
Indonesian Journal of Multidisciplinary on Social and Technology Vol. 2 No. 1 (2024): November - Februari
Publisher : PT Ilmu Data Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/ijmst.v2i1.298

Abstract

Klasifikasi mutu air adalah salah satu teknik dalam melakukan penilaian terhadap air sebagai objek penelitian. Penelitian ini dilakukan dengan tujuan agar dapat memberikan pengetahuan terhadap mutu atau kualitas air, sehingga dapat menjadi solusi terbaik yang dapat dilakukan terhadap air tersebut sebelum dikonsumsi. Penelitian ini menggunakan dua skenario dengan beberapa teknik klasifikasi, diantaranya adalah Algoritme Naive Bayes, KNN, Multiclass classification, MLP, SVM, dan Random Forest. Berdasarkan hasil peneltiian yang dilakukan dengan beberapa algoritma klasifikasi tersebut, didapatkan hasil akurasi terbaik menggunakan Algoritme Random Forest dengan persentase akurasi sebesar 99,5% pada skenario pertama dan 99,7% pada skenario kedua . Sedangkan tingkat akurasi terendah ditemukan pada Algoritme Naive Bayes dengan persentase akurasi sebesar 22,3% pada skenario pertama dan 21,9% pada skenario kedua. Hal ini disebabkan karena dataset mutu air yang diperoleh tidak seimbang atau tidak terdistribusi normal (Gaussian). Selain itu, algoritme Naive Bayes memiliki kinerja baik dalam pekerjaan klasifikasi dengan data teks.
Rancang Bangun Aplikasi Inventory M&G Konveksi Berbasis Web Terintegrasi n8n dengan Framework Laravel Mishel Aulidya; Jajam Haerul Jaman; Dadang Yusup
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 10 No. 2 (2026): IKRAITH-INFORMATIKA Vol 10 No 2 Juli 2026
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

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Abstract

The development of digital technology encourages MSMEs to implement more structured data management systems, especially in businesses with complex production and distribution processes. M&G Konveksi, a clothing manufacturing service (CMT), still records material distribution and production results using physical documents, causing distribution tracking, data verification, and production monitoring processes to be carried out manually. This study aims to design and develop a web-based inventory application integrated with workflow automation to support material recording, distribution, production reporting, and operational monitoring at M&G Konveksi. The system was developed using Laravel and ReactJS and integrated with the n8n platform to support overdue notifications and automatic operational recaps. The development method used in this research is the Prototype model, while system testing was conducted using Black Box Testing and User Acceptance Testing (UAT). The results show that all system features function properly and achieve user acceptance rates above 96%. The system is able to support centralized recording and distribution monitoring while helping operational information to be presented in a more structured manner.
Klasifikasi Jenis Penyakit Tanaman Padi Menggunakan Arsitektur Mobilnetv2 Berbasis Transfer Learning Di Desa Karangraharja, Kabupaten Bekasi Allya Putri Nadila Gustin; Jajam Haerul Jaman; Garno Garno
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 10 No. 2 (2026): IKRAITH-INFORMATIKA Vol 10 No 2 Juli 2026
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

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Abstract

Rice is an important food commodity in Indonesia, but its productivity is often affected by plant diseases that can reduce yields. In Bekasi Regency, particularly Karangraharja Village, rice plant disease identification is still done manually through visual observation of leaves, making it subjective and dependent on farmer experience. This condition has the potential to cause errors in disease classification and management. Technological developments allow the classification of rice disease types to be carried out using image processing. The purpose of this study was to classify rice plant diseases based on leaf images, according to their disease class using transfer learning techniques. The research stages were carried out using the CRISP-DM methodology, which includes business understanding, data understanding, data preparation, modeling, evaluation, and deployment. The image data used amounted to 6.166 rice leaf images. The classification process was carried out using the MobileNetV2 architecture. The best scenario was obtained by the fine-tuning method with a data division of 80% training, 10% validation, and 10% testing, which resulted in an accuracy of 99% on the testing data and 95% on the new data.
RANCANG BANGUN APLIKASI MANAJEMEN TUGAS AKHIR MAHASISWA BERBASIS MOBILE MENGGUNAKAN METODE PROTOTYPE (Studi Kasus: Fakultas Ilmu Komputer Universitas Singaperbangsa Karawang) Mutiara Isya Meliana; Jajam Haerul Jaman; Chaerur Rozikin
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 10 No. 2 (2026): IKRAITH-INFORMATIKA Vol 10 No 2 Juli 2026
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37817/ikraith-informatika.v10i2.7080

Abstract

Proses pengelolaan tugas akhir mahasiswa di Fakultas Ilmu Komputer Universitas Singaperbangsa Karawang (FASILKOM UNSIKA) masih dilakukan melalui berbagai media yang terpisah sehingga menyebabkan proses administrasi dan pemantauan progres tugas akhir kurang optimal. Penelitian ini bertujuan untuk merancang dan membangun aplikasi manajemen tugas akhir mahasiswa berbasis mobile yang mampu mengintegrasikan seluruh tahapan tugas akhir dalam satu platform. Metode yang digunakan adalah Software Development Life Cycle (SDLC) dengan model Prototype yang meliputi pengumpulan kebutuhan, perancangan, pembangunan prototipe, evaluasi, dan penyempurnaan sistem secara iteratif. Aplikasi dikembangkan menggunakan Kotlin, Jetpack Compose, dan Supabase sebagai backend, serta memanfaatkan API untuk validasi pengguna yang terintegrasi dengan SISKA UNSIKA. Fitur utama aplikasi mencakup login, register, pengajuan judul, logbook bimbingan, pendaftaran seminar proposal, kolokium, yudisium, serta pelacakan status tugas akhir. Pengujian dilakukan menggunakan Black Box Testing untuk memastikan seluruh fungsi aplikasi berjalan sesuai kebutuhan pengguna. Hasil penelitian menunjukkan bahwa aplikasi SIMTA Mobile mampu membantu pengelolaan tugas akhir menjadi lebih cepat, terstruktur, dan terdokumentasi dengan baik. Selain itu, aplikasi ini meningkatkan efisiensi komunikasi dan mendukung digitalisasi layanan akademik di lingkungan FASILKOM UNSIKA.
RANCANG BANGUN APLIKASI AL-QUR’AN MOBILE BERBASIS FLUTTER DENGAN FITUR MULTI MARKAH BACAAN DAN CATATAN Muhammad Sutan Fathir; Jajam Haerul Jaman; Garno Garno
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 10 No. 2 (2026): IKRAITH-INFORMATIKA Vol 10 No 2 Juli 2026
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37817/ikraith-informatika.v10i2.7227

Abstract

The rapid development of mobile technology has encouraged the emergence of various digital Qur'an applications that facilitate users in reading the Qur'an. However, most existing applications still implement a single last read feature, allowing users to save only one reading position and lacking a note feature for each saved reading position. This limitation creates difficulties for users who engage in multiple reading activities, such as tilawah (Qur'an recitation), hifz (memorization), and study sessions. This study aims to design and develop a Flutter-based mobile Qur'an application featuring Multi Last Read and Notes to improve the flexibility of managing Qur'an reading activities. The research employed the Research and Development (R&D) method, while the system was developed using the Software Development Life Cycle (SDLC) with the Waterfall model. System testing was conducted using Black Box Testing, White Box Testing, and User Acceptance Testing (UAT) involving 30 respondents selected through a purposive sampling technique. The results indicate that the application successfully implements the Multi Last Read feature, enabling users to save multiple reading positions based on different categories and add notes to each saved reading position. The Black Box Testing results demonstrate that all application functions operate according to the specified functional requirements, while the White Box Testing results confirm that the program logic satisfies the Cyclomatic Complexity and independent path analyses. Furthermore, the UAT results achieved a user acceptance rate of 97.79%, which falls into the Excellent category. Therefore, the developed application provides a more flexible, well-organized, and personalized Qur'an reading experience that meets users' needs.
Co-Authors Abdul Mufti Abdul Mufti Aditya Rizky Sanjaya Agung Susilo Yuda Irawan Ahzka Nabbilah Tuzzahrah Alex Mulyana Allya Putri Nadila Gustin Alpin Apriliansyah Mohsa Amelia Isnanda Ananda, Tri Darma Aprilia, Dita Aries Suharso Arif Imam Suroso Arip Solehudin Armeilia, Rida Carudin Carudin, Carudin Chaerur Rozikin Chandraditio, Ramadhan Cholis, Yaspin Andika Muhamad Nur Dadang Yusup Desviana, Alyssa Dikky Setiyanto Dwi Ely Kurniawan Fachry Abda El Rahman Fadhillah, Octavia Salwa Dzaky Fadila, Muhamad Arya Fadilah, Frido Firman Fajar Mulyana Fawzy Muhammad Bayfurqon Fifa Latifah, Umi Fiqri Faturrian, Muhammad Fitria Septianingrum Fitriana Destiawati Fitriana Destiawati Fitrianida Lutfiajati Pradhyani, Anisa Fitrianti, Ika Frans Christiopan Hutapea Garno . Garno Garno Garno, G. Garno, Garno garno, Garno Hafiz Firdaus Hakim, Rijal Abdul Hamidah, Khoirunnisa Hapipah, Nur Harry Dhika, Harry Herlin Apriani Heryana, Nono Hopi Siti Hopipah Iip Supiyani Ilham Fitrahriansyah Intan Purnamasari Iqbal Maulana Iqbal Maulana Irawan, Agung Susilo Yuda Irman Hermadi Irzi Rahmatullah Iwan Hermawan Juardi, Didi Khaerunisa, Salsa Kurniadewi, Herwinda Lenteraningati, Anggun Liawati Liawati Lidya Ningsih Ma'arif, Muhammad Samsul Maesaroh, Maya Mangatar, Adrian Marselina, Sonia Maulana, Asyifa Maulana, Devi Fitriani Mayasari, Rini Miftah Fauzy Alvaruqi Miftahussalamah, Dwi Mishel Aulidya Mohsa, Alpin Apriliansyah Mufid, Tsaqif Mu'tashim Muhamad Arya Fadila Muhammad Haikal Muhammad Samsul Ma'arif Muhammad Sutan Fathir Muhammad Zidan Fahreza Mulyana, Alex Mutiara Isya Meliana Naufal Ibnu Salam Novia Indriyani Puji Astuti Nugroho, Rosyid Eko Nur Maelani Asih Nur Padilah, Tesa Nurhidayat Nurhidayat Oktavirani, Yurike Oktia Dita Padilah, Tesa Nur Pamungkas, Wisnu Yogi Praditya Putri Utami Pratama, Okta Puput Silva Rosiana Purwantoro Purwantoro Rafliansyah Putra Rahmi, Hayatul Raisya Rahma Ramadani, Daffa Tama Ramona Purwa Novitri, Suci Rijal Abdulhakim Rini Mayasari Riyandoro, Affani Putri Riza Ibnu Adam Riza Ibnu Adam, Riza Ibnu Rizal Fadilah Rizkyawan, Hafil Rizwan, Ivan Rosiana, Puput Silva Rozikin, Chaerur Salsabila, Farras Saory, Farhan Septa Firdaus, Ahmad Ray Setiyanto, Dikky Siregar, Amril Mutoi Sofi Defiyanti Sofyan, Fazrin Meila Azzahra Surya Prabu Al Amin, Sinar Syah Adi Fahlevi Syifa Fauziyah, Syifa Tesa Nur Padilah Tuzzahrah, Ahzka Nabbilah Ultach Enri Ultach Enri Vicky Chandra Wahyuningrum Ayu Yaspin Andika Muhamad Nur Cholis Yayan Gustiana Yayan Mulyana Yuazijah, Afiva Yuyun Umaidah Yuyun Umaidah Yuyun Umaidah Zahra, Vanissa Fatimatul