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PENGEMBANGAN MASYARAKAT PADA PELAKU USAHA INDUSTRI ABON IKAN GABUS BERBASIS WEB DI KEL.BONTOPARANG KEC.PARANGLOE KAB.GOWA Indra, Dolly; Nurhayati, Lilis
Jurnal BALIRESO Vol 3, No 1 (2018)
Publisher : Jurnal BALIRESO

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (172.421 KB)

Abstract

Community development is a process in empowering individuals and groups of people byproviding skills they need to bring positive changes within their own communities. Communitydevelopers should understand both how to work with individuals and to influence communitiesposition in terms of larger social institutions. Several problems encountered in BontosungguNeighborhood,Sub-district of Bontoparang, are lack of understanding on the importance ofmarketing of their products, lack of facilities or media to market the products made, no increase incommunity welfare, less creative work partners in marketing, the absence of Online BasedInformation System for marketing. The program focus on facilitating by counseling, simulationand training for the SMEs (Small to Medium-sized Enterprise) by creating prosperouscommunities who are able to market their products via online-based information system services inBontosunggu Neighborhood, Sub-district of Bontoparang, District of Parangloe, Gowa Regency.The outreach is to gain an online-based training module of entrepreneurship management inproduct marketing. Partners are able to be self-supporting in marketingimplementation. Software:Web Application for Marketing Information Systems, Articles are in the media.
Pendeteksian Tepi Objek Menggunakan Metode Gradien Indra, Dolly
ILKOM Jurnal Ilmiah Vol 8, No 2 (2016)
Publisher : Program Studi Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (703.23 KB)

Abstract

Pada tahap melakukan ekstraksi ciri (feature extraction) faktor yang sangat penting adalah kemampuan untuk mendeteksi keberadaan tepi di dalam citra. Tujuan penelitian ini adalah menggunakan konsep matematis untuk melakukan fungsi pendeteksian tepi. Uji coba yang dilakukan menggunakan matlab versi R2009a dengan menggunakan citra masukan berupa citra abu-abu (grayscale). Setiap citra diuji dengan menggunakan 3 cara yaitu menggunakan metode gradien citra, gradien Prewitt dan gradien Sobel. Cara kerja dari metode gradien terdiri dari gradien horizontal arah x menghasilkan tepi objek berupa garis vertikal dan diagonal dari citra input, gradien arah vertikal y menghasilkan tepi objek berupa garis horizontal dan diagonal dari citra input sedangkan total gradien merupakan gabungan dari gradien arah x dan gradien arah y sedangkan cara kerja dari untuk metode gradien Prewitt dan Sobel, pemilteran dilakukan secara parsial dengan arah yang berlawanan dengan arah fungsi turunan pertama, bila pemilteran dilakukan dalam arah y maka turunan pertama dari hasil pemilteran dilakukan dalam arah x. Pendeteksian tepi menggunakan gradien Prewitt dan Sobel merupakan hasil gabungan dari konvolusi gradien Prewitt/Sobel arah x dengan gradien Prewitt/Sobel arah y. Hasil uji coba dari penelitian ini memperlihatkan bahwa pendeteksian  tepi menggunakan gradien Sobel lebih tajam dibandingkan dengan gradien Prewitt dan gradien citra.
Pengenalan Angka Tulisan Tangan Menggunakan Jaringan Syaraf Tiruan Herman, Herman; Syafie, Lukman; Indra, Dolly
ILKOM Jurnal Ilmiah Vol 10, No 2 (2018)
Publisher : Program Studi Teknik Informatika Fakultas Ilmu Komputer Univeristas Muslim Indonesia

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Abstract

Current technological developments spur the application of pattern recognition in various fields, such as the introduction of signature patterns, fingerprints, faces, and handwriting. Human handwriting has differences between one another and often handwriting is difficult to read or difficult to recognize and this can hamper daily activities, such as transaction activities that require handwriting. Even one of the biometric features of everyone is handwriting. One method that can be used to recognize handwriting patterns in the field of computer science is artificial neural networks (ANN) with the learning algorithm is backpropagation. Artificial neural networks are able to recognize something based on the past. This means that past data will be studied so as to be able to make decisions on new data. To recognize handwriting patterns using artificial neural networks, the characteristics of handwritten objects are extracted using an invariant moment. The results of training using artificial neural networks indicate that the correlation coefficient value is obtained on the number of hidden layer neurons by 30. The highest correlation coefficient value is 0.61382. The test results on the test data obtained an accuracy rate of 11.67% of the total test data.
PEMBASIINDO (PEMBELAJARAN BAHASA ISYARAT INDONESIA) BESBASIS ANDROID DI SEKOLAH LUAR BIASA NEGERI 02 MAKASSAR Umar, Andi Achmad Zufadly; Satma, Satma; Mukarramah, Rifqatul; Agung, Riski Dewa; Amir, Nur Hikmah; Indra, Dolly; Hayati, Lilis Nur
Jurnal Balireso: Jurnal Pengabdian pada Masyarakat Vol 4, No 2 (2019)
Publisher : Jurnal Balireso: Jurnal Pengabdian pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (161.931 KB) | DOI: 10.33096/balireso.v4i2.124

Abstract

Many inhabitants of Indonesia, including individuals who have physical characteristics, thecharacters are different traits supplied by heredity and the formation of characteristics related tothe physical environment and social environment. Based on these factors, humans are classified asnormal people and those with special needs such as deaf. At Sekolah Luar Biasa Negeri 02Makassar the sign language learning process still considered less effective because of the limitedteaching team. In the PKM-M activities, it aims to introduce the features that provide in AndroidbasedPEMBASIINDO consisting of video tutorials. The benefit of this activity is the teachingteam can carry out an effective learning process and the program can be useful as a learning mediathat can be used by the deaf and the general society. The Implementation method of these activitiescarried out at SLBN starts from observation, design activities, coordination with partner related tothe activities, socialization, and training PEMBASIINDO application. The results of theseactivities are related to increasing knowledge about Indonesian sign language by PEMBASIINDOapplication media, helping teachers to the learning process and students with hearing impairmentto communicating with their friends and the environment related to support the learning process.
Effect of Web-Based Early Diagnosis of Dental and Oral Diseases with Validity Level of Dentist Final Diagnosis in Public Health Center, Makassar, Indonesia Masriadi1, Dolly Indra2, Harlinda2
Indian Journal of Forensic Medicine & Toxicology Vol. 14 No. 2 (2020): Indian Journal of Forensic Medicine & Toxicology
Publisher : Institute of Medico-legal Publications Pvt Ltd

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37506/ijfmt.v14i2.3186

Abstract

Background. One of the organs of the body that is lacking attention is the teeth and mouth, whereas maintaining healthy teeth and mouth is very important, because the nerves of the teeth are related and directly affect the nerves of other organs. The development of information technology that is so advanced has entered the world of health, namely to detect early dental and oral diseases by using an expert system. Making an expert system is not to replace the expert itself but can be used as a very experienced assistant. There is a need to solve this problem so that people can know how to deal with diseases related to teeth and mouth. The various information supporting factors in this study by building an expert system with three methods are Certainty Factor (CF), Dempster Shafer (DS) and Bayes Theorem to diagnosis early dental and oral disease events and determine the effect of expert systems in increasing the validity level of dentist diagnosis. Material and Method The type of research used was an observational method in a cross-sectional study design. The sampling method uses total sampling. The study was conducted in September-January 2020. The number of sampling was 200 people. This research consists of three stages are the making of an application system, application testing, and the final stage is a statistical test. The data analysis technique used in this study is Chi-square and validity test. Results. The results of the analysis of the relationship between the value of accuracy with the validity of the doctor’s diagnosis found variable diagnosis doctor have p value (0.013), DS value, CF and Bayes Value are the same p (0,000) <p (0.05). Conclusion. Applications built using the CF, DS and Bayes Theorem methods can be used by users to detect dental disease early before making further examinations to a specialist. The test results given by the system are the same as the results given by experts (dentists). The system of early diagnosis of dental and oral diseases has a very significant effect on the level of validity of the dentist final diagnosis.
Pemanfaatan Information And Comunication Technology (ICT) Pada SLB Negeri 2 Makassar dolly Indra; Umar Mansyur; Ramdan Satra
Celebes Abdimas: Jurnal Pengabdian Kepada Masyarakat Vol 1 No 2 (2019): Oktober
Publisher : Lembaga Layanan Pendidikan Tinggi Wilayah IX Sulawesi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1028.329 KB) | DOI: 10.37541/celebesabdimas.v1i2.179

Abstract

Pendidikan merupakan kebutuhan dasar setiap manusia untuk menjamin keberlangsungan hidupnya agar lebih bermartabat khususnya untuk Sekolah Luar Biasa (SLB) yang memiliki siswa yang mempunyai perbedaan dalam kempuan (difabel). Salah satu pendidikan yang menunjang perkembangan di Sekolah Luar Biasa (SLB) adalah dengan berbasis Information and Communication Technology (ICT) seperti pembuatan website sekolah, media pembelajaran menggunakan multimedia. Pentingnya website bagi sekolah sebagai media untuk menyebarkan informasi tentang sekolah tersebut kepada masyarakat luas. Aplikasi website dapat diakses tanpa terbatas ruang dan waktu melalui media internet menggunakan perangkat digital sementara aplikasi multimedia dapat membuat proses belajar mengajar menjadi lebih interaktif dan lebih efisien. Hasil pengabdian ini adalah telah menerapkan ICT pada sekolah SLB N 2 Makassar. Penerapan ICT pada SLB N 2 Makassar yaitu berupa website http://slbn2makassar.sch.id/ dan aplikasi berbasis Mobile Android dengan nama aplikasi UMIBISA. Hasil pengambilan data pengguna website dan aplikasi menunjukan bahwa penguna merasa tertarik dengan website dan aplikasi dan mereka mudah dalam menggunakan aplikasi dan website tersebut.
An artificial neural network approach for detecting skin cancer Sugiarti Sugiarti; Yuhandri Yuhandri; Jufriadif Na&#039;am; Dolly Indra; Julius Santony
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 2: April 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i2.9547

Abstract

This study aims to present diagnose of melanoma skin cancer at an early stage. It applies feature extraction method of the first order for feature extraction based on texture in order to get high degree of accuracy with method of classification using artificial neural network (ANN). The method used is training and testing phases with classification of Multilayer Perceptron (MLP) neural network. The results showed that the accuracy of test image with 4 sets of training for image not suspected of melanoma and melanoma with the lowest accuracy of 80% and the highest accuracy of 88.88%, respectively. The 4 sets of training used consisted of 23 images. Of the 23 images used as a training consisted of 6 as not suspected of melanoma images and 17 as suspected melanoma images.
APLIKASI UNTUK MENDIAGNOSA PENYAKIT KISTA OVARIUM MENGGUNAKAN METODE FORWARD CHAINING Dolly Indra
Jurnal Transformatika Vol 11, No 2 (2014): January 2014
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v11i2.97

Abstract

Expert System is designed to facilitate the public (patients) and the doctor or nurse in the decision to diagnose a cyst disease. And a patient can quickly and easily determine the type of illness suffered the cyst disease, as well as one of the alternatives in dealing with the type of disease and requires solutions to handle. The process of making these systems using Forward Chaining method for decision-making. Between system and user usesome questions in the form of a list of symptoms that have been there. The results of this system can facilitate in decision making doctor to diagnose the type of cyst disease suffered by the patient, causes, and treatment. 
Rancang Bangun Alat Pendeteksi Keberadaan Sapi Berbasis Mikrokontroller Subhan Ardhiman; Dolly Indra; Abdul Rachman Manga
Buletin Sistem Informasi dan Teknologi Islam Vol 2, No 2 (2021)
Publisher : Univeristas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (4817.48 KB) | DOI: 10.33096/busiti.v2i2.820

Abstract

Bidang peternakan terutama berternak sapi merupakan salah satu bidang yang digeluti oleh sebagian masyarakat indonesia dalam memperoleh penghidupan. Tetapi kebanyakan peternak mendapatkan kesuliitan dalam mengetahui dimana letak keberadaan sapi mereka ketika dilepaskan ditempat terbuka. Dalam penelitian ini bertujuan untuk membuat suatu prototipe sistem pendeteksi keberadaan sapi berbasis mikrokontroler. Alat ini menjadi salah satu solusi untuk lebih memudahkan pencarian keberadaan sapi menggunakan mikrokontroler Wemos D1 dan GPS Neo6. Hasil yang didapat dimana kondisi keberadaan objek (sapi) dapat ditampilkan secara terus menerus pada aplikasi di smartphone. Dalam melakukan pencarian objek sapi dapat menggunakan 2 cara yaitu melalui Widget MAP untuk melihat keberadaan objek sapi atau dengan menggunakan tombol alarm untuk mendengarkan suara dari buzzer.
Sistem monitoring kerja kerukunan mahasiswa pinrang universitas muslin Indonesia (KMP-UMI) menggunakan push notification. Muhammad Asrai Taufik; Dolly Indra; Mardiyyah Hasnawi
Buletin Sistem Informasi dan Teknologi Islam (BUSITI) Vol 2, No 4 (2021)
Publisher : Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (648.463 KB) | DOI: 10.33096/busiti.v2i4.984

Abstract

Proses penyampaian informasi kerja kepada badan pengawas (MPO) masih dilakukan secara manual dan masih lambat, belum adanya aplikasi yang dapat memberikan informasi kerja kepada MPO secara cepat sehingga badan pengawas tidak dapat menerima informasi kerja dari pengurus secara up to date. Penelitian ini bertujuan Untuk merancang dan membangun sistem yang menggunakan push notification yang dapat membantu user untuk mengetahui informasi program kerja secara real time. Penelitian ini menghasilkan sebuah Sistem monitoring yang menggunakan layanan push notification yang memungkinkan badan pengawas (MPO) untuk mengetahui informasi program kerja secara real time. Sistem atau aplikasi ini dapat menjalankan fungsinya dengan baik dan efisien berdasarkan hasil pengujian Black Box menunjukkan formform yang terdapat pada aplikasi semua berjalan dengan semestinya dan setiap validasi yang terdapat pada aplikasi semua menunjukkan sesuai perancangan aplikasi dengan total persentase pengujian betha yang dicapai yaitu 53,2%.