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ANALISIS PENGARUH FAKTOR KEMISKINAN TERHADAP TINGKAT KESEHATAN DAN GAYA HIDUP MASYARAKAT DESA SURALAGA, LOMBOK TIMUR, MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE (SVM) Wasil, Muhammad; Mahpuz, Mahpuz
Infotek : Jurnal Informatika dan Teknologi Vol 4, No 1 (2021): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (494.146 KB)

Abstract

The level of poverty in Indonesia is currently an important task for the government, both in cities and in villages. As time goes by and the nation's economy is arguably unstable, the poverty level of the community cannot be controlled properly. Especially for rural areas or remote and remote villages, such as in the province of NTB, East Lombok Regency, especially in Suralaga Village. The people in Suralaga Village, who generally only have income from farming and raising livestock, are unable to meet their daily needs, which are increasingly soaring. Not only to meet economic needs, they may find it difficult to fulfill their educational needs. The results of farming or raising them, which has a grace period from planting to harvest, require a lot of money. Therefore, the income they have is not stable. This instability causes the economy of the community in the village to be classified as middle to lower class. To find out the extent of the influence of the poverty factor on the level of health, an analysis of the influence of the poverty factor on the health level and lifestyle of the people of Suralaga Village, East Lombok was carried out using the Support Vector Machine (SVM) algorithm. The experimental results shown, have concluded that data processing to determine the purpose of this study, using the Support Vector Machine algorithm, poverty to the health level of the Suralaga Village community is very large and provides an illustration that the average Suralaga Village community is included in the category of people who do not pay attention to the elements. health with an accuracy rate of 73.77%, when viewed based on the distribution of data used
SISTEM INFORMASI GEOGRAFIS UNTUK PEMETAAN HOMESTAY DI LOMBOK TIMUR BERBASIS ANDROID Wasil, Muhammad; Samsu, Lalu Muhammad; Putra, Yupi Kuspandi
Infotek : Jurnal Informatika dan Teknologi Vol 3, No 1 (2020): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (310.809 KB)

Abstract

The geographical information system for mapping homestays in East Lombok is made as a medium for disseminating information in delivering homestay information for tourists who will visit Lombok, especially in East Lombok. This android-based information system presents images, descriptions and also locations displayed via google maps as directions to homestay locations based on choices from each homestay category. The information system can be used as well as supporting the tourism sector in Lombok and makes it easier for tourists to get complete and effective information. Geographic information system for mapping homestays in East Lombok based on Android is made with the Android Studio program and Google Maps as a guide for tourist locations. It can be concluded that this system is ready to be developed.DOI : 10.29408/jit.v3i1.1834
Analisa Penentuan Kelayakan Kredit BUMDES di Desa Gerung Permai Kecamatan Suralaga Kabupaten Lombok Timur Menggunakan Metode C.45 Berbasis PSO (Particle Swarm Optimization) Fathurrahman, Fathurrahman; Wasil, Muhammad
Infotek : Jurnal Informatika dan Teknologi Vol 2, No 2 (2019): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

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Abstract

Kredit adalah penyediaan uang atau tagihan yang dapat dipersamakan dengan itu, berdasarkan persetujuan pinjam meminjam antara bank dengan pihak lain yang mewajibkan pihak peminjam melunasi hutangnya setelah jangka waktu tertentu dengan pemberian bunga. Dari permasalahan yang ada digunakan sebuah metode sekaligus memprediksi kelayakan pemberian kredit di Desa Gerung Permai Kecamatan Suralaga  yaitu dengan model algoritma C4.5 berbasis Particle Swarm Optimization (PSO). Setelah di lakukan pengujian dengan dua model yaitu algoritma C4.5 dan algoritma C4.5 berbasis Particle Swarm Optimization (PSO) maka hasil yang didapat adalah untuk nilai akurasi algoritma C4.5 senilai 98,86% sedangkan nilai akurasi algoritma C4.5 berbasis PSO senilai 98,89% sehingga selisih untuk nilai akurasi meningkat sebesar 0,3% dan ROC curve untuk keduanya yaitu, nilai AUC berdasarkan ROC curve untuk algoritma C4.5 bernilai 0,895, sedangkan untuk algoritma C4.5 berbasis PSO bernili 0,917 sehingga didapatkan selisih nilai AUC meningkat sebesar 0,22 sehingga dapat disimpulkan bahwa penerapan teknik Particle Swarm Optimization(PSO) dapat meningkatkan nilai akurasi pada Algoritma C4.5.DOI : 10.29408/jit.v2i2.1455
Digitalisasi Karya TGKH. Muhammad Zainuddin Abdul Madjid berbasis mobile sebagai media pembelajaran interaktif untuk pelestarian peninggalan pendiri Nahdlatul Wathan Bahtiar, Hariman; Wasil, Muhamad; Harianto, Bambang
Infotek : Jurnal Informatika dan Teknologi Vol 2, No 1 (2019): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

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Abstract

ABSTRACTTGKH. Muhammad Zainuddin Abdul Madjid is a charismatic scholar on the island of Lombok and is the founder of Nahdlatul Wathan, the largest organization in West Nusa Tenggara. The works of Maulana Shaykh TGKH. Muhammad Zainuddin Abdul Madjid, like his books is a practice that routines are read by students and santriwati even the Nahdlatul Wathan congregation, as prayers and lessons that are practiced every time they finish worship and at critical times. Maulana Shaykh TGKH. Muhammad Zainuddin Abdul Madjid has many santri and santriwati in West Nusa Tenggara, even the archipelago under the Nahdlatul Wathan organization who faithfully practice his teachings and even his advice. Problems arise when his students are constrained by distance and time who want to read the books of his teacher. Therefore the author provides a solution with the Digitization of TGKH Works. Muhammad Zainuddin Abdul Madjid is based on mobile as an interactive learning medium for the preservation of the legacy of the founder of Nahdlatul Wathan. That will help his students who in fact do not have the book and are hindered by distance and time. Work begins with typing the contents of the book, followed by the implementation of the application, and in the end the application can be further utilizedDOI : 10.29408/jit.v2i1.940
Implementasi Algoritma Decision Tree Untuk Mengetahui Faktor Kredit Macet Dan Lancar Di Koperasi Serba Usaha Daruzzakah Rensing Lombok Timur Mahpuz, Mahpuz; yahya, yahya; wasil, wasil
Infotek : Jurnal Informatika dan Teknologi Vol 3, No 2 (2020): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

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Abstract

Credit is the main product of savings and loan cooperatives in an effort to increase profitability. The greater the credit issued, the greater the profit earned by a cooperative, each cooperative will package credit products in such a way as to be able to attract the attention of each customer. However, cooperative suati can find problems in channeling credit, such as those in the Daruzzakah Multipurpose Cooperative located in Rensing Village, West Sakra Subdistrict, East Lombok Regency, however, the cooperative some can find problems in channeling credit, such as those in the Daruzzakah Multipurpose Cooperative which is located in Rensing Village, West Sakra District, East Lombok Regency, in determining the creditworthiness of credit they always use statistical data, but the data does not guarantee whether during credit or non-performing loans. The Decision Tree algorithm will provide several options to see what factors are bad or current loans, this is done to classify which loans are smooth and bad so that in the future it can be anticipated early.DOI : 10.29408/jit.v3i2.2299
ANALISIS PERSEPSI MASYARAKAT TERHADAP KINERJA APARATUR DESA DALAM MENINGKATKAN PELAYANAN PUBLIK DI DESA LENEK LAUK MENGGUNAKAN METODE NAIVE BAYES Wasil, Muhammad; Mahfuz, Mahfuz
Infotek : Jurnal Informatika dan Teknologi Vol 3, No 2 (2020): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (443.579 KB)

Abstract

Public service is an activity or series of activities in the framework of fulfilling service needs in accordance with statutory regulations for every citizen and resident of goods, services, or administrative services provided by public service providers. All types of services are provided and provided to the community by the village government apparatus, in general it has not satisfied many people. The services provided are too complicated for reasons according to the procedure, the amount of fees charged, and a very long time, so the services provided tend to be ineffective and inefficient. In this study predictions will be made about the community's satisfaction or dissatisfaction with the performance of village officials in improving services using the Naïve Bayes algorithm method. The Naive Bayes algorithm is a classification with probability and statistical methods proposed by the British scientist Thomas Bayes, which predicts future opportunities based on past experience so that it is known as Bayes theorem. This research was conducted using a data collection technique in the form of a questionnaire filled out by 50 respondents 10% of the total population, from a population of 5,539 permanent residents in the village of Lenek Lauk. Analysis of the results of the study was conducted using the Naïve Bayes algorithm method. Function to see the level of accuracy. Measurement with naïve bayes algorithm produces 92.26% accuracy and AUC value on the ROC curve is 0.924.DOI : 10.29408/jit.v3i2.2314
ANALISIS PENGARUH FAKTOR KEMISKINAN TERHADAP TINGKAT KESEHATAN DAN GAYA HIDUP MASYARAKAT DESA SURALAGA, LOMBOK TIMUR, MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE (SVM) Muhammad Wasil; Mahpuz Mahpuz
Infotek: Jurnal Informatika dan Teknologi Vol 4, No 1 (2021): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (494.146 KB) | DOI: 10.29408/jit.v4i1.2978

Abstract

The level of poverty in Indonesia is currently an important task for the government, both in cities and in villages. As time goes by and the nation's economy is arguably unstable, the poverty level of the community cannot be controlled properly. Especially for rural areas or remote and remote villages, such as in the province of NTB, East Lombok Regency, especially in Suralaga Village. The people in Suralaga Village, who generally only have income from farming and raising livestock, are unable to meet their daily needs, which are increasingly soaring. Not only to meet economic needs, they may find it difficult to fulfill their educational needs. The results of farming or raising them, which has a grace period from planting to harvest, require a lot of money. Therefore, the income they have is not stable. This instability causes the economy of the community in the village to be classified as middle to lower class. To find out the extent of the influence of the poverty factor on the level of health, an analysis of the influence of the poverty factor on the health level and lifestyle of the people of Suralaga Village, East Lombok was carried out using the Support Vector Machine (SVM) algorithm. The experimental results shown, have concluded that data processing to determine the purpose of this study, using the Support Vector Machine algorithm, poverty to the health level of the Suralaga Village community is very large and provides an illustration that the average Suralaga Village community is included in the category of people who do not pay attention to the elements. health with an accuracy rate of 73.77%, when viewed based on the distribution of data used
Penerapan Sistem Informasi Geografis dalam Pemetaan Sebaran Kasus Gizi Buruk Aris Sudianto; Muhammad Wasil; Mahpuz Mahpuz
Infotek: Jurnal Informatika dan Teknologi Vol 4, No 2 (2021): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (635.668 KB) | DOI: 10.29408/jit.v4i2.3559

Abstract

Malnutrition or Malnutrition is a general term that refers to a medical condition caused by an improper or inadequate diet. The main cause of malnutrition is the lack of children in getting enough energy and protein foods. This is with the economic level of the community. In addition, for parents' knowledge about the importance of nutrition for child development. In East Lombok, cases of malnutrition always appear every year, but recently in 2019, cases of malnutrition were rediscovered which ironically was always known too late. This is because the location of malnutrition sufferers is not reachable or is not known by the district government, this is what makes the handling of malnutrition cases in East Lombok district late, which often results in deaths of infants and children. For this reason, in this study the researcher raised the theme of how to map the distribution of the location of well-known cases of malnutrition in East Lombok district. The purpose of this study was to help the East Lombok fogapen government to see the location of people with malnutrition. The research method used is to directly record the coordinates of the location of people with bad nutrition. with this application, it can help the government in alerting the location of cases of malnutrition in East Lombok district
SISTEM INFORMASI GEOGRAFIS UNTUK PEMETAAN HOMESTAY DI LOMBOK TIMUR BERBASIS ANDROID Muhammad Wasil; Lalu Muhammad Samsu; Yupi Kuspandi Putra
Infotek: Jurnal Informatika dan Teknologi Vol 3, No 1 (2020): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (310.809 KB) | DOI: 10.29408/jit.v3i1.1834

Abstract

The geographical information system for mapping homestays in East Lombok is made as a medium for disseminating information in delivering homestay information for tourists who will visit Lombok, especially in East Lombok. This android-based information system presents images, descriptions and also locations displayed via google maps as directions to homestay locations based on choices from each homestay category. The information system can be used as well as supporting the tourism sector in Lombok and makes it easier for tourists to get complete and effective information. Geographic information system for mapping homestays in East Lombok based on Android is made with the Android Studio program and Google Maps as a guide for tourist locations. It can be concluded that this system is ready to be developed.DOI : 10.29408/jit.v3i1.1834
Effect of Epoch on Accuracy using Convolutional Neural Network to Classification of fashion and furniture Muhammad Wasil; Harianto Harianto; Fathurrahman Fathurrahman
Infotek: Jurnal Informatika dan Teknologi Vol 5, No 1 (2022): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (527.171 KB) | DOI: 10.29408/jit.v5i1.4393

Abstract

Fashion dan furniture menjadi kebutuhan untuk setiap individu. Pemilihan fashion terkadang juga bisa menjadi penilaian orang lain terhadap karakter yang dimiliki tiap individu. Begitupun pemilihan furniture juga bisa menggambarkan identitas dari tiap individu. Namun fashion dan furniture memiliki berbagai macam model, untuk itu dibutuhkan teknologi informasi yang bisa membedakan antara model a dan model b. Klasifikasi adalah salah satu model yang mengelompokkan berdasarkan kriteria yang sama. Penggunaan klasifikasi haruslah didukung dengan metode yang tepat dan penggunaan epoch agar akurasi yang dihasilkan dapat maksimal. Metode Convolutional Neural Network (CNN) adalah metode yang sangat tepat untuk klasifikasi gambar karena terdapat banyak arsitektur yang bisa digunakan.Hasil penelitian ini menunjukkan bahwa akurasi terbaik pada furniture=94.18% dengan penggunaan epoch=500, dan fashion =99.15% dengan penggunaan epoch=1500