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All Journal Jurnal Buana Informatika Jurnal Pseudocode Jurnal SOLMA
Mochammad Yusa
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Other

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Analisis Komparatif Evaluasi Performa Algoritma Klasifikasi pada Readmisi Pasien Diabetes Mochammad Yusa; Ema Utami; Emha T. Luthfi
Jurnal Buana Informatika Vol. 7 No. 4 (2016): Jurnal Buana Informatika Volume 7 Nomor 4 Oktober 2016
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jbi.v7i4.770

Abstract

Abstract. Readmission is associated with quality measures on patients in hospitals. Different attributes related to diabetic patients such as medication, ethnicity, race, lifestyle, age, and others result in the calculation of quality care that tends to be complicated. Classification techniques of data mining can solve this problem. In this paper, the evaluation on three different classifiers, i.e. Decision Tree, k-Nearest Neighbor (k-NN), dan Naive Bayes with various setting parameter, is developed by using 10-Fold Cross Validation technique. The targets of parameter performance evaluated is based on term of Accuracy, Mean Absolute Error (MAE), dan Kappa Statistic. The selected dataset consists of 47 attributes and 49.735 records. The result shows that k-NN classifier with k=100 has a better performance in term of accuracy and Kappa Statistic, but Naive Bayes outperforms in term of MAE among other classifiers.Keywords: k-NN, naive bayes, diabetes, readmission Abstrak.Proses Readmisi dikaitkan dengan perhitungan kualitas penanganan pasien di rumah sakit. Perbedaan atribut-atribut yang berhubungan dengan pasien diabetes proses medikasi, etnis, ras, gaya hidup, umur, dan lain-lain, mengakibatkan perhitungan kualitas cenderung rumit. Teknik klasifikasi data mining dapat menjadi solusi dalam perhitungan kualitas ini. Teknik klasifikasi merupakan salah satu teknik data mining yang perkembangannya cukup signifikan. Di dalam penelitian ini, model algoritma klasifikasi Decision Tree, k-Nearest Neighbor (k-NN), dan Naive Bayes dengan berbagai parameter setting akan dievaluasi performanya berdasarkan nilai performa Accuracy, Mean Absolute Error (MAE), dan Kappa Statistik dengan metode 10-Fold Cross Validation. Dataset yang dievaluasi memiliki 47 atribut dengan 49.735 records. Hasil penelitian menunjukan bahwa performa accuracy, MAE, dan Kappa Statistik terbaik didapatkan dari Model Algoritma Naive Bayes.Kata Kunci: k-NN, naive bayes, diabetes, readmisi
Deteksi Dini Gangguan Pembatas Arus Listrik Pada PHB-TR Bertegangan Tinggi Broadcast SMS Gateway Mochammad Yusa; Joko Dwi Santoso
Jurnal Pseudocode Vol 7, No 2 (2020): Volume 7 Nomor 2 September 2020
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (756.072 KB) | DOI: 10.33369/pseudocode.7.2.143-150

Abstract

Abstrak - Gangguan pecahnya NH FUSE atau pembatas arus listrik di PHB-TR jika tidak cepat ditangani tentu menimbulkan kerugian, tegangan di bawah standar yang menyebabkan eletronic eqiupment mudah rusak, dan peralatan distribusi aset PLN yang juga akan rusak trafo. Salah satu faktor penting yang bisa terjadi adalah keterlambatan informasi yang diterima oleh petugas PLN dan pelanggan tidak segera repot ke kantor PLN. Gangguan pecahnya sistem peringatan dini NH FUSE menggunakan SMS gateway berbasis sensor tegangan, yang dirancang untuk memberikan informasi sedini mungkin gangguan, bertujuan agar dapat ditangani dengan cepat sehingga kerusakan pelanggan peralatan elektronik dan transformator aset PLN dapat diminimalisir.Kata Kunci: Disruption of NH FUSE, Microcontroller, SMS Gateway.
Pemberdayaan dan Peningkatan Kapasitas Kelompok Masyarakat Lintas Komunitas Seni Kelurahan Kebun Keling Kota Bengkulu Melalui Digital Innovative Product dan Smart Management Mochammad Yusa; Arie Vatresia; Chairil Afandy
Jurnal SOLMA Vol. 10 No. 1 (2021)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v10i1.5434

Abstract

Kebun Keling Sub-district is an area of coast in Bengkulu. It is one of Bengkulu City's mainstay tourist destinations. In this sub-district, there is a community group which has a strong commitment to become productive people. The art community is the Lintas Komunitas Seni which is based on Kebun Keling Sub-district in Teluk Segara District, Bengkulu City. This community incorporates to musical, classical motobike, mural, and fine art. Several obstacles are faced the digitalization era of the creative industry, including the level of understanding of digital design technology, organizational management and production. The aim of this series activities is to apply science and technology through Digital Innovative Products and Smart Management. It is the initiation of economic independence for member of this art community group in Kebun Keling sub-district, Teluk Segara District. The method of implementing this activity is divided into 3 (three) main activities, such as: (1) Implementing digital drawing techniques by converting paper images into curves using graphic design softwares, (2) making and assisting in producing handicrafts from digital art conversion to become a ready-to-sell product using afdruk screen printing techniques, (3) accompanying financial management assistance and training with the cost of production method to determine the selling value, profit and loss, and asset management. The activity target is to improve the technology and management capabilities, soft and hard skills, and knowledge of the partner. The result from evaluation of series activitieswe have done by filling out a questionnaire were that the partners' knowledge and skills are increased.
Co-Authors Arie Vatresia Chairil Afandy Ema Utami Emha T. Luthfi Joko Dwi Santoso