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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Yupa: Historical Studies Journal InComTech: Jurnal Telekomunikasi dan Komputer Jurnal Teknologi Informatika dan Komputer Academic Journal of Computer Science Research (AJCSR) Pelita Teknologi : Jurnal Ilmiah Informatika, Arsitektur dan Lingkungan Jurnal Ilmiah SIGMA: Informatics Engineering Journal of UPB Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Lentera Pengabdian SAINTEK
Donny Maulana
Universitas Pelita Bangsa
Humanities Automotive Engineering 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 Social Sciences

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Pengembangan Sistem Pakar Diagnosis Penyakit Dengan Metode Certainty Factor Untuk Mendukung Keputusan Medis Cepat dan Tepat Gatot Tri Pranoto; Donny Maulana; Ismasari Nawangsih
Academic Journal of Computer Science Research Vol 5, No 2 (2023): Academic Journal of Computer Science Research (AJCSR)
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/ajcsr.v5i2.3800

Abstract

Diagnosis penyakit merupakan salah satu proses yang sangat menentukan dalam penangan kesehatan seorang pasien. Hasil diagnosis akan menentukan riwayat penyakit seorang pasien. Bahkan, hasil diagnosis tersebut akan menentukan langkah perawatan yang harus diberikan kepada pasien sebagai penanganan. Namun, permasalahan yang ada saat ini adalah proses diagnosis masih dilakukan secara manual dan membutuhkan waktu yang lama serta masih tergantung kepada kemampuan seorang dokter. Masalah sekarang ini sebuah penyakit cepat bermutasi dan berkembang sehingga langkah penanganan harus selalu diperabaharui. Sementara itu, jumlah dokter dan tenaga kesehatan yang ada lebih sedikit jika dibandingkan dengan jumlah pasien yang ada. Akibatnya, dokter akan kewalahan dan bisa saja salah diagnosis hingga penanganan. Diperlukan suatu model diagnosis yang cepat dan tepat pada rumah sakit, puskesmas dan klinik untuk mengatasi hal tersebut. Penelitian ini mengembangkan sistem pakar dengan menerapkan metode certainty factor yang dapat membantu dokter dalam melakukan diagnosis penyakit. Untuk pengembagan model diagnosis, digunakan model waterfall dan memanfaatkan tool UML dan Bahasa PHP. Penelitian ini menghasilkan model diagnosis metode certainty factor dengan tingkat keyakinan mencapai 56,7% atau dengan interpretasi Sangat Mungkin. Pengujian kehandalan dan kebergunaan aplikasi dalam penelitian ini menggunakan model Software Usability Scale (SUS) dengan hasil 82 yang artinya sistem pakar memberikan rekomendasi secara cepat dan tepat. Model Diagnosis dalam penelitian ini dapat diterima dengan baik oleh user berdasarkan pengujian Technology Acceptance Method (TAM) dengan nilai rata-rata 83,04%.
Penerapan Data Mining Untuk Klasifikasi Kepuasan Pelanggan Transportasi Online (Ojek Online) Menggunakan Algoritma C.4.5 Suherman Suherman; Donny Maulana; Vivi Mustikaningtyas
Prosiding Sains dan Teknologi Vol. 1 No. 1 (2022): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 1 - Juli 2022
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/SAINTEK0101.165175

Abstract

Human activities to meet their daily needs and needs, both at work, or just for a walk. So, this needs to be supported by adequate transportation. With the development of technology today there are applications that introduce motorcycle taxi booking services using technology and use service standards. In Indonesia there are many motorbikes, which also function as general vehicles, namely transporting people / goods. Currently there are many online transportation service providers (online motorcycle taxi) known as Go-Jek, Grab, and Uber. Customer satisfaction input attributes in this study include price, facilities, service and loyalty. Data mining is a series of processes to explore added value in the form of information that has not been known manually from a database. In this study it is expected to help the online transportation services in increasing customer satisfaction. Based on the results of the classification using C4.5 algorithm shows that the accuracy reached 75.33%, which shows that the C4.5 algorithm is suitable for measuring the level of satisfaction of online transportation. Keywords: Satisfaction of online transportation, Data Mining, Algoritma C.4.5
Sistem Monitoring Suhu Dan Kelembapan Udara Berbasis Internet Of Things Pada Ruang Kerja Proses Injection Molding Donny Maulana; Ikhsanudin ikhsanudin
Prosiding Sains dan Teknologi Vol. 1 No. 1 (2022): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 1 - Juli 2022
Publisher : DPPM Universitas Pelita Bangsa

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Abstract

The development of technology is currently growing very rapidly and can be felt in the industrial world and in society, one of which is the application of the Internet of Things (IoT) in the work environment. The work environment is all things or elements that can affect directly or indirectly the organization or company that will have a good or bad impact on employee performance and job satisfaction. The purpose of this research on temperature and humidity monitoring systems is to monitor the stability of temperature and humidity in the injection molding process workspace, where room temperature is related to the engine cooling temperature and affects the results of production. This temperature and humidity monitoring system is designed using the NodeMCU ESP8266 module and the DHT11 sensor using the Arduino IDE program C language and the Thingspeak web server. In this research, the methodology used is the prototype methodology. The prototype model is a technique to collect certain information about the user's information needs quickly. As a result, manual thermometers can be replaced with Internet of Things-based temperature sensors. The temperature and humidity monitoring system can be applied in the injection molding process workspace so that it can speed up the response by the facility in the event of an abnormality in room temperature. Keywords: Internet of Things, Thingspeak, NodeMCU ESP8266, DHT11 Sensor
Pengembangan Sistem Pembelajaran Siswa Berbasis Metaverse pada TK Islam Pelita Insan Donny Maulana; Ismamudi, Ismamudi; Wiyanto, Wiyanto
Lentera Pengabdian Vol. 1 No. 01 (2023): Januari 2023
Publisher : Lentera Ilmu Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59422/lp.v1i01.21

Abstract

TK Islam Pelita Insan adalah salah satu sekolah swasta berbasis Islam Terpadu yang terletak di daerah lemah Kabupaten Bekasi. Sebagai sekolah yang mulai bergerak maju, maka TK Islam Pelita Insan berusaha meningkatkan mutu dan kualitas sekolahnya dengan pemanfaatan teknologi khususnya pengembangan pada sistem pembelajaran siswanya. Sistem pembelajaran sekolah saat ini masih menggunakan gambar kertas yang diprint berdasarkan gambar dan ditempel dikelasnya. Sistem yang berjalan saat ini sebenarnya sudah baik, tetapi masih ada kelemahan yang dirasakan, diantaranya gambar print out kertas ini mudah hilang dan tercecer. Kelemahan lain yaitu adanya pemborosan kertas dan waktu unuk mencetak pembelajaran siswa per guru. Belum lagi permasalahan yang disebabkan oleh gambar yang hilang pada setiap periode semester saat masa pembagian rapor masih manual oleh guru tersebut untuk diserahkan ke wali kelas. Kondisi ini tentunya menyebabkan pekerjaan dinilai tidak efektif dan efisien bagi guru. Penelitian ini membuat sebuah sistem informasi pembelajaran siswa berbasis web menggunakan metaverse yang dikembangan oleh mozilla hub dengan tampilan 3 Dimensi serta menggunakan tampilan web. Dari hasil penelitian dapat disimpulkan bahwa dengan sistem ini maka model pengajaran harian siswa menggunakan print out untuk pengajaran 1 semester sudah tidak digunakan lagi, digantikan dengan model pengajaran dengan cara mengakses internet dengan mengunjungi web mozilla hub. Dengan sistem ini maka tidak ada lagi guru jam kedua dan seterusnya kebingungan mencari pengajaran apabila guru jam pertama lupa tidak menaruh pengajaran tersebut selepas mengajar di kantor serta memudahkan pihak sekolah untuk merekap pengajaran siswa pada setiap periode semester untuk diberikan kepada wali kelasnya.
Sistem Pendukung Keputusan Pemilihan Jasa Pengiriman Terbaik Menggunakan Metode Maut (Multi-Attribute Utility Theory) Wildan Trio Munawarudin; Donny Maulana; Ucok Darmanto Soer; Rensi Suryanti; Edri Fauzan
Jurnal SIGMA Vol 15 No 2 (2024): September 2024
Publisher : Teknik Informatika, Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/sigma.v15i2.6037

Abstract

Karena kemajuan teknologi, pelaku e-commerce kini dapat menggunakan media sosial untuk menjual produk mereka. Toko online seperti Shopee, Bukalapak, dan Lazada memberikan bantuan yang lebih besar kepada masyarakat. Layanan pengiriman dibutuhkan jika orang ingin menjual barang mereka di toko online. Penelitian ini bertujuan untuk membangun Sistem Pendukung Keputusan (SPK) yang dapat membantu konsumen dalam proses pengambilan keputusan terkait layanan pengiriman dengan menggunakan metode Multi-Attribute Utility Theory (MAUT). MAUT digunakan untuk menyelesaikan masalah pengambilan keputusan yang melibatkan beberapa kriteria dengan mengumpulkan informasi dan memberikan bobot pada setiap kriteria berdasarkan tingkat kepentingannya. Hasil akhirnya berupa nilai numerik dalam skala 0–1. Dari hasil penelitian, ditemukan bahwa alternatif A1 (JNE) merupakan layanan pengiriman terbaik, diikuti oleh J&T Express, Pos Indonesia, SiCepat, dan AnterAja. Kriteria ketepatan waktu, keamanan pengiriman, biaya pengiriman, layanan pelanggan, cakupan layanan, dan kemudahan penggunaan sangat penting bagi pengguna. Penelitian ini menyimpulkan bahwa SPK yang dibangun mampu memberikan solusi efektif dalam pemilihan layanan pengiriman. Penerapan metode MAUT membantu mengurangi subjektivitas dan memungkinkan penilaian yang lebih objektif serta sistematis, sehingga membantu konsumen membuat keputusan yang lebih informasional dan rasional.
Eye Disease Detection and Classification Optimization Using EfficientNet-B5 with Emphasis on Data Augmentation and Fine-Tuning Anggi Muhammad Rifai; Muhammad Fatchan; Ahmad Turmudi Zy; Donny Maulana; Sufajar Butsianto
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 5 (2025): October 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i5.6519

Abstract

Eye diseases such as glaucoma, cataract, and diabetic retinopathy pose significant global health challenges, underscoring the need for accurate and efficient diagnostic systems. This study employed the EfficientNet-B5 model to enhance the detection and classification of eye diseases by incorporating advanced data augmentation and fine-tuning techniques. The research utilizes the Ocular Disease Intelligent Recognition (ODIR) dataset, consisting of 4,217 fundus images categorized into four classes: normal, glaucoma, cataract, and diabetic retinopathy. The methodology comprises three phases: baseline model training, model training with data augmentation, and fine-tuning. The baseline model achieved an accuracy of 60.43%, which improved to 63.03% with data augmentation—an increase of 2.6 percentage points. Fine-tuning further elevated the accuracy to 93.23%, representing a notable improvement of 33.8 percentage points over the baseline. Model performance was evaluated using standard classification metrics including accuracy, precision, recall, and F1-score. These findings demonstrate the technical efficacy of combining augmentation and fine-tuning to enhance model generalization. The proposed approach offers a robust framework for developing dependable AI-driven diagnostic tools to support early detection and facilitate informed clinical decision-making.
Redefine Our Nationalism? Critical Reflection on Indonesian Nationalism as a "Joint Project": Case Study of Post-1998 Racial Communal Conflict Donny Maulana; Hariyono, Hariyono; Utami, Indah Wahyu Puji
Yupa: Historical Studies Journal Vol. 8 No. 4 (2024)
Publisher : Program Studi Pendidikan Sejarah FKIP Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/yupa.v8i4.4102

Abstract

The discourse on Indonesian Nationalism will never end. As the basis of the state, nationalism needs to continue to be reflected to remain relevant to current developments. The phenomenon of narrowing the meaning of Indonesian Nationalism and stagnation in the mainstream narrative which leads to the fossilisation of meaning is also an important and urgent topic to study. The big question is whether Indonesian Nationalism is still on rails and corridors that are relevant to the current condition of the nation. This article will specifically dissect in a deconstructive manner the paradigm of Indonesian Nationalism as a "joint project" as a form of response to stagnation and narrow mainstream narratives about nationalism. This paper also analyzes it in a historical framework, specifically taking a case study of racial communal conflict after the 1998 Reformation using the analytical knife of Benedict Anderson's Imagined Communities. There are three sub-discussions which will explain the background conditions and challenges of Indonesian Nationalism, the deconstruction of the paradigm of Indonesian Nationalism and how nationalism should be addressed as a "joint project" of a nation.
Komparasi Algoritma Support Vector Machine (Svm) Dan Logistic Regression Menggunakan Metode Smote Untuk Klasifikasi Penyakit Diabetes Melitus Donny Maulana; Linda Wahyu Setyoningsih
Prosiding Sains dan Teknologi Vol. 3 No. 1 (2024): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 3 - Januari 2024
Publisher : DPPM Universitas Pelita Bangsa

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

Abstract

Diabetes Mellitus is a metabolic disease characterized by increased blood sugar levels due to impaired insulin production, insulin action or both. Utilization of data mining is used in the health sector and also in the technology industry. Processing data so that it can be used as a source of fresh knowledge and information is one of the many advantages of data mining. In this study, two algorithms are used, namely Support Vector Machine and Logistic Regression. Both of these algorithms use the SMOTE (Synthetic Minority Over-sampling Technique) method to overcome data imbalances. Based on tests carried out using the Confusion Matrix, the results of measuring the performance values of Accuracy, Precision, Recall and f1-score using the Support Vector Machine (SVM) algorithm and Logistic Regression using the SMOTE method, it can be concluded that the best algorithm in the classification of diabetes mellitus is the Support Vector Machine (SVM) algorithm with an Accuracy value of 0.81, Precision of 0.80, Recall of 0.82 and f1-score of 0.81.
Sistem Informasi Pengajuan Cuti Karyawan Pada Pt.Tass Engginering Berbasis Website Donny Maulana; Emilda Yulian Sari
Prosiding Sains dan Teknologi Vol. 4 No. 1 (2025): Seminar Nasional Sains dan Teknologi (SAINTEK) ke 4 - Februari 2025
Publisher : DPPM Universitas Pelita Bangsa

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Abstract

The rapid development of information technology encourages companies to implement web-based information systems to improve the effectiveness and efficiency of data management. PT Tass Engineering still manages employee leave requests manually using paper forms and simple office applications, which often leads to recording errors, delays in approval processes, and potential data loss. This study aims to design and develop a web-based Employee Leave Management Information System that facilitates the submission, approval, and management of leave data in an integrated manner. The research method uses structured interviews to identify system requirements, while the system development applies the Waterfall model, consisting of requirement analysis, system design, implementation, testing, and maintenance stages. The system is modeled using Unified Modeling Language (UML) and implemented using PHP as the programming language and MySQL as the database, running on a XAMPP environment. System testing is conducted using the Black Box Testing method to ensure that each function operates according to the specified requirements. The results indicate that key features, including login authentication, leave submission, employee data management, approval processes, and report generation, function properly and meet user needs. The developed system improves administrative efficiency, minimizes human error, and ensures centralized and secure data storage within the database.
Sistem Informasi Persediaan Barang Berbasis Web di PT. Sagaindo Jaya Abadi Menggunakan Prototype Donny Maulana; Siti Fadillah Rauf
Jurnal SIGMA Vol 14 No 3 (2023): September 2023
Publisher : Teknik Informatika, Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/sigma.v14i3.7314

Abstract

Sagaindo Jaya Abadi Merupakan salah satu perusahaan yang bergerak dalam bidang industri manufaktur beton precast dan ready mix yang berada di daerah Cikarang. Perusahaan ini membutuhkan sistem persediaan barang yang bertujuan agar meminimalkan kesalahan karyawan saat menginput data barang terutama pada bagian mekanik yang jumlah barangnya lebih banyak dari barang yang lain. Maka dibuatlah “Sistem Informasi Persediaan Barang Berbasis Web Di PT. Sagaindo Jaya Abadi Mdenggunakan Prototype” menggunakan rancangan UML (Unified Modeling Language) dan metode pengembangannya menggunakan prototype.
Co-Authors Agung Nugroho Agung Nugroho Agus Suwarno, Agus Ahmad Turmudi Zy Ahmad Turmuzdy ZY Alfatan Dzulatkha2 Andri Firmansyah Anggi Muhammad Rifai Asep Saepudin Butsianto, Sufajar Edri Fauzan Emi Lia Nurjanah Emilda Yulian Sari Gatot Tri Pranoto Hariyono Hariyono Hasim Budi Jatmiko Ikhsanudin ikhsanudin Indah Wahyu Puji Utami, Indah Wahyu Irfan Afriantoro Ismamudi, Ismamudi Linda Wahyu Setyoningsih Lutfi Adji Ardiansyah Maryatul Kiptiyah Maulana Sofyan Muhammad Fatchan Muhtajuddin Danny Nanang Tedi Nanang Tedi Kurniadi Nawangsih, Ismasari Novita Sari Raden Rangga Bramantya Putra Rensi Suryanti Rezayadi Yahya Riady, Sasmitoh Rahmad Rudi Rahmanto2 Shinta Mawarni Siti Fadillah Rauf Slamet Nur Ihsan Suherman Suherman Taufik Hidayat Ucok Darmanto Soer Vivi Mustikaningtyas Wildan Trio Munawarudin Wiyanto - Yoga Religia Yusup Solikhun